diff --git a/be/src/common/config.cpp b/be/src/common/config.cpp
index 96f6b2faf1..9d5a4f90bf 100644
--- a/be/src/common/config.cpp
+++ b/be/src/common/config.cpp
@@ -103,7 +103,7 @@ DEFINE_mInt32(hash_table_double_grow_degree, "31");
 
 DEFINE_mInt32(max_fill_rate, "2");
 
-DEFINE_mInt32(double_resize_threshold, "20");
+DEFINE_mInt32(double_resize_threshold, "23");
 // Expand the hash table before inserting data, the maximum expansion size.
 // There are fewer duplicate keys, reducing the number of resize hash tables
 // There are many duplicate keys, and the hash table filled bucket is far less than the hash table build bucket.
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q1.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q1.1.out
deleted file mode 100644
index 9721202673..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q1.1.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q1.1 --
-40408592843
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q1.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q1.2.out
deleted file mode 100644
index bdb41193d3..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q1.2.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q1.2 --
-9122707260
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q1.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q1.3.out
deleted file mode 100644
index acb4cb6bc6..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q1.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q1.3 --
-2458647398
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q2.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q2.1.out
deleted file mode 100644
index fe1fd9d940..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q2.1.out
+++ /dev/null
@@ -1,283 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q2.1 --
-44020938	1992	MFGR#121
-61069019	1992	MFGR#1210
-98770796	1992	MFGR#1211
-55714017	1992	MFGR#1212
-30859869	1992	MFGR#1213
-7655070	1992	MFGR#1214
-24888208	1992	MFGR#1215
-23379772	1992	MFGR#1216
-56476383	1992	MFGR#1217
-57043338	1992	MFGR#1218
-32145078	1992	MFGR#1219
-99329461	1992	MFGR#122
-74527914	1992	MFGR#1220
-44999728	1992	MFGR#1221
-51232286	1992	MFGR#1222
-34310857	1992	MFGR#1223
-113795427	1992	MFGR#1224
-34206250	1992	MFGR#1225
-55651923	1992	MFGR#1226
-41734506	1992	MFGR#1227
-49250683	1992	MFGR#1228
-38872880	1992	MFGR#1229
-19513495	1992	MFGR#123
-30074382	1992	MFGR#1230
-36122196	1992	MFGR#1231
-45964173	1992	MFGR#1232
-55214909	1992	MFGR#1233
-64954836	1992	MFGR#1234
-49076192	1992	MFGR#1235
-72479136	1992	MFGR#1236
-45028882	1992	MFGR#1237
-58021772	1992	MFGR#1238
-32264994	1992	MFGR#1239
-44086292	1992	MFGR#124
-69438922	1992	MFGR#1240
-50915712	1992	MFGR#125
-54423227	1992	MFGR#126
-38517896	1992	MFGR#127
-40358571	1992	MFGR#128
-29673343	1992	MFGR#129
-16480856	1993	MFGR#121
-61526362	1993	MFGR#1210
-62269128	1993	MFGR#1211
-49135175	1993	MFGR#1212
-19363246	1993	MFGR#1213
-29026117	1993	MFGR#1214
-35637454	1993	MFGR#1215
-20647862	1993	MFGR#1216
-65123252	1993	MFGR#1217
-25352010	1993	MFGR#1218
-68564939	1993	MFGR#1219
-17042606	1993	MFGR#122
-61430989	1993	MFGR#1220
-26382572	1993	MFGR#1221
-60006256	1993	MFGR#1222
-42890945	1993	MFGR#1223
-59983138	1993	MFGR#1224
-58171358	1993	MFGR#1225
-108538569	1993	MFGR#1226
-46953139	1993	MFGR#1227
-50357127	1993	MFGR#1228
-31565836	1993	MFGR#1229
-38160720	1993	MFGR#123
-50151622	1993	MFGR#1230
-29327673	1993	MFGR#1231
-38503874	1993	MFGR#1232
-19778805	1993	MFGR#1233
-41858350	1993	MFGR#1234
-24051246	1993	MFGR#1235
-52361976	1993	MFGR#1236
-38500972	1993	MFGR#1237
-40361967	1993	MFGR#1238
-52043689	1993	MFGR#1239
-64673820	1993	MFGR#124
-93511363	1993	MFGR#1240
-31696482	1993	MFGR#125
-65480881	1993	MFGR#126
-60071054	1993	MFGR#127
-44611749	1993	MFGR#128
-56729947	1993	MFGR#129
-25080633	1994	MFGR#121
-44421057	1994	MFGR#1210
-80008319	1994	MFGR#1211
-103863339	1994	MFGR#1212
-54621314	1994	MFGR#1213
-15680735	1994	MFGR#1214
-54681430	1994	MFGR#1215
-43692857	1994	MFGR#1216
-49325094	1994	MFGR#1217
-73675432	1994	MFGR#1218
-49871984	1994	MFGR#1219
-21256963	1994	MFGR#122
-31955137	1994	MFGR#1220
-48453428	1994	MFGR#1221
-53874152	1994	MFGR#1222
-62865250	1994	MFGR#1223
-63595818	1994	MFGR#1224
-28152809	1994	MFGR#1225
-69659357	1994	MFGR#1226
-75096847	1994	MFGR#1227
-42757254	1994	MFGR#1228
-32327218	1994	MFGR#1229
-22888353	1994	MFGR#123
-41728518	1994	MFGR#1230
-19387027	1994	MFGR#1231
-52487222	1994	MFGR#1232
-35994313	1994	MFGR#1233
-60742116	1994	MFGR#1234
-45227060	1994	MFGR#1235
-59160212	1994	MFGR#1236
-54619957	1994	MFGR#1237
-47480957	1994	MFGR#1238
-25888685	1994	MFGR#1239
-70368638	1994	MFGR#124
-72629620	1994	MFGR#1240
-33238482	1994	MFGR#125
-72394492	1994	MFGR#126
-56029736	1994	MFGR#127
-38147992	1994	MFGR#128
-69501483	1994	MFGR#129
-20924289	1995	MFGR#121
-36975122	1995	MFGR#1210
-48756873	1995	MFGR#1211
-53856557	1995	MFGR#1212
-38371527	1995	MFGR#1213
-20160501	1995	MFGR#1214
-24921435	1995	MFGR#1215
-49182346	1995	MFGR#1216
-79421062	1995	MFGR#1217
-43871805	1995	MFGR#1218
-40799560	1995	MFGR#1219
-48863048	1995	MFGR#122
-30480350	1995	MFGR#1220
-39631840	1995	MFGR#1221
-46048864	1995	MFGR#1222
-54794320	1995	MFGR#1223
-58418860	1995	MFGR#1224
-46832764	1995	MFGR#1225
-93015568	1995	MFGR#1226
-59555495	1995	MFGR#1227
-64677848	1995	MFGR#1228
-54371856	1995	MFGR#1229
-41367445	1995	MFGR#123
-62730952	1995	MFGR#1230
-20240121	1995	MFGR#1231
-31312779	1995	MFGR#1232
-61254571	1995	MFGR#1233
-101408529	1995	MFGR#1234
-35489977	1995	MFGR#1235
-72283474	1995	MFGR#1236
-44169187	1995	MFGR#1237
-76982851	1995	MFGR#1238
-17887986	1995	MFGR#1239
-25579008	1995	MFGR#124
-57259273	1995	MFGR#1240
-48737579	1995	MFGR#125
-46441183	1995	MFGR#126
-78098863	1995	MFGR#127
-27870848	1995	MFGR#128
-35908546	1995	MFGR#129
-35271098	1996	MFGR#121
-38792230	1996	MFGR#1210
-47160693	1996	MFGR#1211
-68210595	1996	MFGR#1212
-44722895	1996	MFGR#1213
-26593762	1996	MFGR#1214
-32215205	1996	MFGR#1215
-36462712	1996	MFGR#1216
-74558576	1996	MFGR#1217
-54779933	1996	MFGR#1218
-73411970	1996	MFGR#1219
-34964197	1996	MFGR#122
-68558799	1996	MFGR#1220
-51301494	1996	MFGR#1221
-72933737	1996	MFGR#1222
-63554793	1996	MFGR#1223
-89879873	1996	MFGR#1224
-66262314	1996	MFGR#1225
-80568026	1996	MFGR#1226
-44565937	1996	MFGR#1227
-52846872	1996	MFGR#1228
-44976411	1996	MFGR#1229
-15588645	1996	MFGR#123
-53581284	1996	MFGR#1230
-22553880	1996	MFGR#1231
-96176719	1996	MFGR#1232
-52077897	1996	MFGR#1233
-66828307	1996	MFGR#1234
-30327368	1996	MFGR#1235
-50040478	1996	MFGR#1236
-46199045	1996	MFGR#1237
-40764060	1996	MFGR#1238
-60654980	1996	MFGR#1239
-69640803	1996	MFGR#124
-48177264	1996	MFGR#1240
-28190715	1996	MFGR#125
-50400382	1996	MFGR#126
-64695119	1996	MFGR#127
-56829515	1996	MFGR#128
-34826763	1996	MFGR#129
-22963752	1997	MFGR#121
-34840658	1997	MFGR#1210
-49126086	1997	MFGR#1211
-68574455	1997	MFGR#1212
-38647328	1997	MFGR#1213
-19070678	1997	MFGR#1214
-34729724	1997	MFGR#1215
-45360726	1997	MFGR#1216
-100366087	1997	MFGR#1217
-23839879	1997	MFGR#1218
-64452428	1997	MFGR#1219
-29119805	1997	MFGR#122
-49517616	1997	MFGR#1220
-69279406	1997	MFGR#1221
-56714590	1997	MFGR#1222
-39678871	1997	MFGR#1223
-73858672	1997	MFGR#1224
-13942407	1997	MFGR#1225
-80693293	1997	MFGR#1226
-79034646	1997	MFGR#1227
-60410183	1997	MFGR#1228
-29923476	1997	MFGR#1229
-38002024	1997	MFGR#123
-15398954	1997	MFGR#1230
-25870965	1997	MFGR#1231
-82101226	1997	MFGR#1232
-35715749	1997	MFGR#1233
-47016892	1997	MFGR#1234
-60104390	1997	MFGR#1235
-49230267	1997	MFGR#1236
-60826887	1997	MFGR#1237
-46058415	1997	MFGR#1238
-20840231	1997	MFGR#1239
-73636093	1997	MFGR#124
-52792905	1997	MFGR#1240
-49503830	1997	MFGR#125
-40570441	1997	MFGR#126
-52426752	1997	MFGR#127
-56182164	1997	MFGR#128
-37727233	1997	MFGR#129
-3549137	1998	MFGR#121
-49830740	1998	MFGR#1210
-20393668	1998	MFGR#1211
-21173543	1998	MFGR#1212
-20087827	1998	MFGR#1213
-10743126	1998	MFGR#1214
-12847957	1998	MFGR#1215
-19691011	1998	MFGR#1216
-51049704	1998	MFGR#1217
-23558548	1998	MFGR#1218
-25951054	1998	MFGR#1219
-17166766	1998	MFGR#122
-28493696	1998	MFGR#1220
-12744431	1998	MFGR#1221
-22077936	1998	MFGR#1222
-33163504	1998	MFGR#1223
-66412310	1998	MFGR#1224
-26213544	1998	MFGR#1225
-32389442	1998	MFGR#1226
-42104295	1998	MFGR#1227
-33078210	1998	MFGR#1228
-37064611	1998	MFGR#1229
-24156825	1998	MFGR#123
-25580571	1998	MFGR#1230
-10782317	1998	MFGR#1231
-22813148	1998	MFGR#1232
-17629146	1998	MFGR#1233
-36569860	1998	MFGR#1234
-40382918	1998	MFGR#1235
-35602723	1998	MFGR#1236
-24130345	1998	MFGR#1237
-30693015	1998	MFGR#1238
-14929431	1998	MFGR#1239
-39975811	1998	MFGR#124
-16736766	1998	MFGR#1240
-29646784	1998	MFGR#125
-19901786	1998	MFGR#126
-45106934	1998	MFGR#127
-26254536	1998	MFGR#128
-42825370	1998	MFGR#129
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q2.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q2.2.out
deleted file mode 100644
index 238e752ef6..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q2.2.out
+++ /dev/null
@@ -1,59 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q2.2 --
-49901521	1992	MFGR#2221
-96163939	1992	MFGR#2222
-90215446	1992	MFGR#2223
-48493609	1992	MFGR#2224
-110952177	1992	MFGR#2225
-106008540	1992	MFGR#2226
-57647604	1992	MFGR#2227
-86072957	1992	MFGR#2228
-67725886	1993	MFGR#2221
-67725009	1993	MFGR#2222
-81806477	1993	MFGR#2223
-50421651	1993	MFGR#2224
-94454058	1993	MFGR#2225
-70629830	1993	MFGR#2226
-45404279	1993	MFGR#2227
-79310904	1993	MFGR#2228
-47777086	1994	MFGR#2221
-71637360	1994	MFGR#2222
-72156568	1994	MFGR#2223
-51587753	1994	MFGR#2224
-83364340	1994	MFGR#2225
-60478099	1994	MFGR#2226
-56003454	1994	MFGR#2227
-89029764	1994	MFGR#2228
-72175190	1995	MFGR#2221
-71019982	1995	MFGR#2222
-96319277	1995	MFGR#2223
-68803330	1995	MFGR#2224
-80093694	1995	MFGR#2225
-78383156	1995	MFGR#2226
-49502866	1995	MFGR#2227
-104551526	1995	MFGR#2228
-51297584	1996	MFGR#2221
-96580568	1996	MFGR#2222
-75725909	1996	MFGR#2223
-64823360	1996	MFGR#2224
-125578266	1996	MFGR#2225
-47938897	1996	MFGR#2226
-70423501	1996	MFGR#2227
-108054309	1996	MFGR#2228
-108073280	1997	MFGR#2221
-43179221	1997	MFGR#2222
-70814037	1997	MFGR#2223
-60936293	1997	MFGR#2224
-81810165	1997	MFGR#2225
-67439343	1997	MFGR#2226
-42064594	1997	MFGR#2227
-87179304	1997	MFGR#2228
-25132568	1998	MFGR#2221
-55722350	1998	MFGR#2222
-48431542	1998	MFGR#2223
-12880429	1998	MFGR#2224
-32016105	1998	MFGR#2225
-39867983	1998	MFGR#2226
-17482648	1998	MFGR#2227
-54980480	1998	MFGR#2228
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q2.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q2.3.out
deleted file mode 100644
index d827c98060..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q2.3.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q2.3 --
-126104513	1992	MFGR#2239
-55041640	1993	MFGR#2239
-53176975	1994	MFGR#2239
-91516581	1995	MFGR#2239
-89177504	1996	MFGR#2239
-109557743	1997	MFGR#2239
-64474863	1998	MFGR#2239
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.1.out
deleted file mode 100644
index aed069bfc7..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.1.out
+++ /dev/null
@@ -1,153 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q3.1 --
-JAPAN	CHINA	1992	894662617
-VIETNAM	CHINA	1992	879657868
-INDONESIA	CHINA	1992	848560058
-CHINA	CHINA	1992	819815922
-INDIA	CHINA	1992	806291092
-JAPAN	INDONESIA	1992	680053883
-VIETNAM	INDONESIA	1992	673179581
-INDONESIA	INDONESIA	1992	664270844
-INDONESIA	JAPAN	1992	643752974
-INDIA	INDONESIA	1992	638903445
-JAPAN	VIETNAM	1992	635824950
-JAPAN	JAPAN	1992	633585481
-INDIA	JAPAN	1992	607839613
-VIETNAM	JAPAN	1992	607710783
-INDIA	INDIA	1992	536769929
-JAPAN	INDIA	1992	534088599
-VIETNAM	VIETNAM	1992	516117221
-CHINA	INDONESIA	1992	506456790
-CHINA	INDIA	1992	480846807
-CHINA	VIETNAM	1992	477208003
-CHINA	JAPAN	1992	472412008
-INDIA	VIETNAM	1992	471237542
-INDONESIA	VIETNAM	1992	459553516
-VIETNAM	INDIA	1992	456110182
-INDONESIA	INDIA	1992	455186775
-INDONESIA	CHINA	1993	943734711
-JAPAN	CHINA	1993	884999330
-VIETNAM	CHINA	1993	776170628
-JAPAN	JAPAN	1993	763155805
-INDIA	CHINA	1993	727268159
-JAPAN	INDONESIA	1993	725974841
-CHINA	CHINA	1993	699037918
-VIETNAM	INDONESIA	1993	678558585
-INDIA	INDONESIA	1993	636586282
-JAPAN	VIETNAM	1993	615519995
-CHINA	INDONESIA	1993	611808285
-INDONESIA	INDONESIA	1993	603487543
-VIETNAM	JAPAN	1993	581395052
-INDIA	INDIA	1993	562950799
-VIETNAM	INDIA	1993	560138093
-JAPAN	INDIA	1993	556451843
-INDONESIA	JAPAN	1993	551536311
-INDIA	JAPAN	1993	520291875
-INDONESIA	VIETNAM	1993	516700032
-CHINA	JAPAN	1993	513860361
-VIETNAM	VIETNAM	1993	511572341
-INDONESIA	INDIA	1993	475772900
-CHINA	INDIA	1993	469387738
-CHINA	VIETNAM	1993	445157921
-INDIA	VIETNAM	1993	421899314
-JAPAN	CHINA	1994	1078430520
-CHINA	CHINA	1994	780416580
-INDIA	CHINA	1994	775588173
-VIETNAM	CHINA	1994	770264574
-JAPAN	JAPAN	1994	759994553
-JAPAN	INDONESIA	1994	714753599
-INDONESIA	CHINA	1994	714095689
-VIETNAM	JAPAN	1994	709054030
-INDONESIA	JAPAN	1994	700405590
-VIETNAM	VIETNAM	1994	642825294
-INDONESIA	INDONESIA	1994	620705729
-JAPAN	INDIA	1994	615711853
-JAPAN	VIETNAM	1994	604773981
-INDIA	JAPAN	1994	603556186
-INDONESIA	VIETNAM	1994	583034876
-VIETNAM	INDONESIA	1994	564257510
-INDIA	INDONESIA	1994	516996319
-VIETNAM	INDIA	1994	499086392
-CHINA	JAPAN	1994	497106086
-CHINA	INDONESIA	1994	464805234
-INDIA	INDIA	1994	460482523
-INDIA	VIETNAM	1994	457376149
-INDONESIA	INDIA	1994	456297959
-CHINA	INDIA	1994	432006728
-CHINA	VIETNAM	1994	351960554
-JAPAN	CHINA	1995	986663348
-INDIA	CHINA	1995	861068631
-INDONESIA	CHINA	1995	822855656
-CHINA	CHINA	1995	767174809
-JAPAN	INDONESIA	1995	745662666
-VIETNAM	CHINA	1995	729675158
-JAPAN	JAPAN	1995	707259778
-VIETNAM	JAPAN	1995	692786366
-INDONESIA	JAPAN	1995	691858407
-INDONESIA	INDONESIA	1995	643912652
-VIETNAM	INDONESIA	1995	623670464
-JAPAN	VIETNAM	1995	595667658
-INDIA	JAPAN	1995	595328992
-INDONESIA	INDIA	1995	578833336
-INDIA	VIETNAM	1995	575485335
-CHINA	JAPAN	1995	574277531
-INDIA	INDONESIA	1995	573908169
-CHINA	INDONESIA	1995	545491112
-VIETNAM	INDIA	1995	539065793
-JAPAN	INDIA	1995	535604852
-VIETNAM	VIETNAM	1995	533647175
-INDIA	INDIA	1995	479262711
-INDONESIA	VIETNAM	1995	467482484
-CHINA	VIETNAM	1995	456995300
-CHINA	INDIA	1995	428711969
-JAPAN	CHINA	1996	986140813
-VIETNAM	CHINA	1996	802903887
-JAPAN	JAPAN	1996	770237433
-JAPAN	INDONESIA	1996	753998482
-INDONESIA	CHINA	1996	740555766
-CHINA	CHINA	1996	725619149
-CHINA	INDONESIA	1996	679336367
-INDIA	CHINA	1996	671074957
-VIETNAM	JAPAN	1996	644535010
-VIETNAM	INDONESIA	1996	641798202
-JAPAN	INDIA	1996	617455416
-INDONESIA	JAPAN	1996	615961620
-JAPAN	VIETNAM	1996	615247275
-CHINA	JAPAN	1996	567641014
-INDIA	INDONESIA	1996	553269889
-INDIA	JAPAN	1996	529524803
-INDONESIA	INDONESIA	1996	522610713
-VIETNAM	VIETNAM	1996	492513335
-CHINA	INDIA	1996	485501126
-VIETNAM	INDIA	1996	483604465
-INDIA	VIETNAM	1996	476602949
-INDONESIA	INDIA	1996	459775845
-INDONESIA	VIETNAM	1996	436568261
-CHINA	VIETNAM	1996	427435930
-INDIA	INDIA	1996	378608488
-JAPAN	CHINA	1997	950779597
-VIETNAM	CHINA	1997	908837192
-INDONESIA	CHINA	1997	869538220
-INDIA	CHINA	1997	798545421
-JAPAN	INDONESIA	1997	793631604
-JAPAN	JAPAN	1997	743977084
-VIETNAM	JAPAN	1997	662366183
-VIETNAM	INDONESIA	1997	656632582
-INDIA	INDONESIA	1997	644452063
-CHINA	CHINA	1997	638308872
-INDONESIA	JAPAN	1997	601147475
-INDIA	JAPAN	1997	591931506
-CHINA	INDONESIA	1997	588058561
-JAPAN	INDIA	1997	586235315
-INDONESIA	INDIA	1997	580061411
-CHINA	JAPAN	1997	576981874
-INDONESIA	INDONESIA	1997	570813647
-JAPAN	VIETNAM	1997	560180609
-INDIA	VIETNAM	1997	537809881
-VIETNAM	INDIA	1997	509338268
-INDONESIA	VIETNAM	1997	506305004
-VIETNAM	VIETNAM	1997	480669507
-CHINA	INDIA	1997	465641614
-CHINA	VIETNAM	1997	453346071
-INDIA	INDIA	1997	384517066
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.2.out
deleted file mode 100644
index 548deb6e54..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.2.out
+++ /dev/null
@@ -1,317 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q3.2 --
-UNITED ST4	UNITED ST0	1992	41731025
-UNITED ST4	UNITED ST3	1992	40001969
-UNITED ST1	UNITED ST9	1992	33158800
-UNITED ST4	UNITED ST9	1992	28893071
-UNITED ST2	UNITED ST0	1992	28495669
-UNITED ST4	UNITED ST6	1992	24351778
-UNITED ST2	UNITED ST3	1992	23948087
-UNITED ST7	UNITED ST3	1992	23105112
-UNITED ST1	UNITED ST0	1992	22259691
-UNITED ST1	UNITED ST7	1992	22081488
-UNITED ST0	UNITED ST0	1992	18293852
-UNITED ST1	UNITED ST3	1992	18119462
-UNITED ST9	UNITED ST3	1992	17863433
-UNITED ST5	UNITED ST6	1992	17493829
-UNITED ST5	UNITED ST2	1992	17414941
-UNITED ST7	UNITED ST9	1992	17042156
-UNITED ST4	UNITED ST2	1992	16123916
-UNITED ST9	UNITED ST0	1992	15335446
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-UNITED ST4	UNITED ST7	1992	13420748
-UNITED ST8	UNITED ST0	1992	12694771
-UNITED ST1	UNITED ST6	1992	12615015
-UNITED ST5	UNITED ST3	1992	12609431
-UNITED ST9	UNITED ST2	1992	12370917
-UNITED ST2	UNITED ST9	1992	12343455
-UNITED ST5	UNITED ST0	1992	12301234
-UNITED ST0	UNITED ST3	1992	11998215
-UNITED ST0	UNITED ST7	1992	11561727
-UNITED ST0	UNITED ST9	1992	10044917
-UNITED ST1	UNITED ST2	1992	9911709
-UNITED ST7	UNITED ST7	1992	9715656
-UNITED ST8	UNITED ST9	1992	9595969
-UNITED ST9	UNITED ST9	1992	9263093
-UNITED ST7	UNITED ST2	1992	9032051
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-UNITED ST2	UNITED ST2	1992	8313714
-UNITED ST2	UNITED ST7	1992	7759164
-UNITED ST7	UNITED ST0	1992	7492111
-UNITED ST5	UNITED ST7	1992	7225053
-UNITED ST9	UNITED ST7	1992	7204874
-UNITED ST6	UNITED ST9	1992	6597261
-UNITED ST7	UNITED ST6	1992	6058017
-UNITED ST8	UNITED ST7	1992	5480207
-UNITED ST3	UNITED ST3	1992	4080199
-UNITED ST2	UNITED ST6	1992	2888270
-UNITED ST3	UNITED ST9	1992	2614811
-UNITED ST9	UNITED ST6	1992	2066609
-UNITED ST6	UNITED ST3	1992	1873819
-UNITED ST0	UNITED ST2	1992	742480
-UNITED ST6	UNITED ST2	1992	291566
-UNITED ST4	UNITED ST3	1993	40655188
-UNITED ST2	UNITED ST3	1993	36003298
-UNITED ST5	UNITED ST3	1993	35074448
-UNITED ST1	UNITED ST0	1993	32371096
-UNITED ST7	UNITED ST0	1993	31623473
-UNITED ST1	UNITED ST9	1993	26085806
-UNITED ST4	UNITED ST7	1993	21770572
-UNITED ST5	UNITED ST0	1993	21615102
-UNITED ST7	UNITED ST6	1993	21431650
-UNITED ST5	UNITED ST9	1993	20060148
-UNITED ST1	UNITED ST3	1993	19637560
-UNITED ST7	UNITED ST9	1993	19210567
-UNITED ST4	UNITED ST9	1993	18760567
-UNITED ST0	UNITED ST0	1993	17492841
-UNITED ST7	UNITED ST3	1993	15593304
-UNITED ST4	UNITED ST0	1993	15352086
-UNITED ST5	UNITED ST7	1993	14364086
-UNITED ST9	UNITED ST3	1993	14042622
-UNITED ST9	UNITED ST6	1993	13589827
-UNITED ST9	UNITED ST0	1993	12719524
-UNITED ST2	UNITED ST9	1993	11922413
-UNITED ST6	UNITED ST6	1993	11516451
-UNITED ST4	UNITED ST2	1993	11384511
-UNITED ST3	UNITED ST3	1993	11191859
-UNITED ST3	UNITED ST0	1993	9854232
-UNITED ST6	UNITED ST3	1993	9745502
-UNITED ST2	UNITED ST2	1993	9293748
-UNITED ST1	UNITED ST6	1993	8167490
-UNITED ST8	UNITED ST9	1993	7538212
-UNITED ST0	UNITED ST9	1993	7051950
-UNITED ST0	UNITED ST3	1993	7048726
-UNITED ST9	UNITED ST2	1993	6542474
-UNITED ST5	UNITED ST6	1993	6445893
-UNITED ST1	UNITED ST2	1993	6218710
-UNITED ST9	UNITED ST9	1993	5718455
-UNITED ST1	UNITED ST7	1993	5301113
-UNITED ST2	UNITED ST0	1993	5272433
-UNITED ST8	UNITED ST0	1993	5183529
-UNITED ST5	UNITED ST2	1993	5154059
-UNITED ST6	UNITED ST9	1993	4893382
-UNITED ST8	UNITED ST3	1993	4251663
-UNITED ST3	UNITED ST9	1993	3950878
-UNITED ST6	UNITED ST2	1993	3713458
-UNITED ST8	UNITED ST7	1993	3584217
-UNITED ST6	UNITED ST7	1993	3449550
-UNITED ST3	UNITED ST7	1993	3028547
-UNITED ST0	UNITED ST2	1993	2972456
-UNITED ST7	UNITED ST2	1993	2849011
-UNITED ST2	UNITED ST6	1993	2026185
-UNITED ST0	UNITED ST7	1993	1920827
-UNITED ST8	UNITED ST6	1993	1728360
-UNITED ST4	UNITED ST6	1993	1327362
-UNITED ST7	UNITED ST7	1993	1259361
-UNITED ST8	UNITED ST2	1993	1205222
-UNITED ST2	UNITED ST7	1993	861413
-UNITED ST0	UNITED ST6	1993	239766
-UNITED ST4	UNITED ST3	1994	56786075
-UNITED ST2	UNITED ST0	1994	39867652
-UNITED ST1	UNITED ST9	1994	36849068
-UNITED ST7	UNITED ST3	1994	36135207
-UNITED ST1	UNITED ST0	1994	34629122
-UNITED ST5	UNITED ST0	1994	33907176
-UNITED ST5	UNITED ST9	1994	33823060
-UNITED ST4	UNITED ST0	1994	31296783
-UNITED ST2	UNITED ST3	1994	30499072
-UNITED ST1	UNITED ST3	1994	24377956
-UNITED ST7	UNITED ST0	1994	23008324
-UNITED ST2	UNITED ST9	1994	21959692
-UNITED ST2	UNITED ST7	1994	20638024
-UNITED ST2	UNITED ST6	1994	20528502
-UNITED ST9	UNITED ST3	1994	18885838
-UNITED ST0	UNITED ST3	1994	17087910
-UNITED ST5	UNITED ST3	1994	15657670
-UNITED ST9	UNITED ST0	1994	15346708
-UNITED ST0	UNITED ST9	1994	15287365
-UNITED ST1	UNITED ST7	1994	14942235
-UNITED ST7	UNITED ST9	1994	14832404
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-UNITED ST0	UNITED ST0	1994	14402583
-UNITED ST1	UNITED ST6	1994	13845158
-UNITED ST5	UNITED ST6	1994	13062098
-UNITED ST9	UNITED ST7	1994	12190876
-UNITED ST7	UNITED ST2	1994	11794166
-UNITED ST4	UNITED ST9	1994	10839580
-UNITED ST6	UNITED ST6	1994	10539775
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-UNITED ST3	UNITED ST3	1994	8638496
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-UNITED ST6	UNITED ST0	1994	7185704
-UNITED ST4	UNITED ST7	1994	7128172
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-UNITED ST6	UNITED ST3	1994	5073736
-UNITED ST6	UNITED ST7	1994	4976821
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-UNITED ST0	UNITED ST2	1994	4733405
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-UNITED ST9	UNITED ST9	1994	4529452
-UNITED ST7	UNITED ST6	1994	4075826
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-UNITED ST3	UNITED ST6	1994	3431309
-UNITED ST8	UNITED ST0	1994	1741475
-UNITED ST3	UNITED ST9	1994	1523937
-UNITED ST7	UNITED ST7	1994	1431045
-UNITED ST8	UNITED ST2	1994	1128443
-UNITED ST2	UNITED ST9	1995	36282710
-UNITED ST2	UNITED ST3	1995	35484180
-UNITED ST7	UNITED ST9	1995	29730468
-UNITED ST1	UNITED ST3	1995	27630044
-UNITED ST7	UNITED ST3	1995	27429744
-UNITED ST4	UNITED ST3	1995	27071122
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-UNITED ST4	UNITED ST6	1995	25783319
-UNITED ST5	UNITED ST0	1995	24869803
-UNITED ST0	UNITED ST0	1995	24489125
-UNITED ST9	UNITED ST0	1995	22146600
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-UNITED ST9	UNITED ST9	1995	21288680
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-UNITED ST1	UNITED ST0	1995	17183088
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-UNITED ST1	UNITED ST9	1995	16559901
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-UNITED ST8	UNITED ST9	1995	580117
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-UNITED ST7	UNITED ST7	1997	35180248
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-UNITED ST0	UNITED ST7	1997	19895765
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-UNITED ST5	UNITED ST0	1997	17044142
-UNITED ST0	UNITED ST6	1997	16771333
-UNITED ST0	UNITED ST0	1997	16726896
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-UNITED ST7	UNITED ST0	1997	8617843
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-UNITED ST6	UNITED ST7	1997	7772982
-UNITED ST1	UNITED ST2	1997	7540067
-UNITED ST2	UNITED ST6	1997	7482323
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-UNITED ST4	UNITED ST0	1997	7381500
-UNITED ST6	UNITED ST3	1997	7378889
-UNITED ST4	UNITED ST7	1997	7314217
-UNITED ST1	UNITED ST7	1997	7002722
-UNITED ST8	UNITED ST3	1997	6618773
-UNITED ST3	UNITED ST0	1997	4915297
-UNITED ST2	UNITED ST9	1997	4357257
-UNITED ST6	UNITED ST9	1997	3566068
-UNITED ST9	UNITED ST0	1997	3120773
-UNITED ST3	UNITED ST7	1997	3003109
-UNITED ST7	UNITED ST2	1997	2965713
-UNITED ST0	UNITED ST9	1997	2775552
-UNITED ST3	UNITED ST3	1997	2480732
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-UNITED ST9	UNITED ST2	1997	281577
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.3.out
deleted file mode 100644
index ab25542414..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.3.out
+++ /dev/null
@@ -1,9 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q3.3 --
-UNITED KI5	UNITED KI1	1992	4397192
-UNITED KI5	UNITED KI1	1993	7269877
-UNITED KI1	UNITED KI1	1993	1243929
-UNITED KI1	UNITED KI1	1995	7942813
-UNITED KI5	UNITED KI1	1995	7117276
-UNITED KI5	UNITED KI1	1996	5994601
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.4.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.4.out
deleted file mode 100644
index fb38b5b6b1..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q3.4.out
+++ /dev/null
@@ -1,3 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q3.4 --
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q4.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q4.1.out
deleted file mode 100644
index 80423b402a..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q4.1.out
+++ /dev/null
@@ -1,38 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q4.1 --
-1992	ARGENTINA	761138275
-1992	BRAZIL	985977209
-1992	CANADA	715150888
-1992	PERU	786152296
-1992	UNITED STATES	907927557
-1993	ARGENTINA	784246323
-1993	BRAZIL	795928807
-1993	CANADA	799906352
-1993	PERU	662883880
-1993	UNITED STATES	839069702
-1994	ARGENTINA	876750011
-1994	BRAZIL	812474812
-1994	CANADA	869964593
-1994	PERU	747762673
-1994	UNITED STATES	976192749
-1995	ARGENTINA	759176421
-1995	BRAZIL	801672129
-1995	CANADA	839133378
-1995	PERU	824927582
-1995	UNITED STATES	834105034
-1996	ARGENTINA	694255805
-1996	BRAZIL	881917583
-1996	CANADA	837622649
-1996	PERU	679125115
-1996	UNITED STATES	813543116
-1997	ARGENTINA	757821503
-1997	BRAZIL	680132381
-1997	CANADA	867432100
-1997	PERU	786577542
-1997	UNITED STATES	814894451
-1998	ARGENTINA	368756023
-1998	BRAZIL	560248513
-1998	CANADA	455229134
-1998	PERU	436261212
-1998	UNITED STATES	387112795
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q4.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q4.2.out
deleted file mode 100644
index 39a85ec86d..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q4.2.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q4.2 --
-1997	ARGENTINA	MFGR#11	84900777
-1997	ARGENTINA	MFGR#12	105777008
-1997	ARGENTINA	MFGR#13	64922663
-1997	ARGENTINA	MFGR#14	74698017
-1997	ARGENTINA	MFGR#15	80724749
-1997	ARGENTINA	MFGR#21	75795929
-1997	ARGENTINA	MFGR#22	61932653
-1997	ARGENTINA	MFGR#23	98394367
-1997	ARGENTINA	MFGR#24	69666059
-1997	ARGENTINA	MFGR#25	76900173
-1997	BRAZIL	MFGR#11	92141153
-1997	BRAZIL	MFGR#12	84364820
-1997	BRAZIL	MFGR#13	60152598
-1997	BRAZIL	MFGR#14	68822442
-1997	BRAZIL	MFGR#15	49647952
-1997	BRAZIL	MFGR#21	48001851
-1997	BRAZIL	MFGR#22	57586251
-1997	BRAZIL	MFGR#23	104789661
-1997	BRAZIL	MFGR#24	76057674
-1997	BRAZIL	MFGR#25	73807859
-1997	CANADA	MFGR#11	57810845
-1997	CANADA	MFGR#12	39565355
-1997	CANADA	MFGR#13	62795630
-1997	CANADA	MFGR#14	74527292
-1997	CANADA	MFGR#15	39782846
-1997	CANADA	MFGR#21	58809118
-1997	CANADA	MFGR#22	34180455
-1997	CANADA	MFGR#23	90940750
-1997	CANADA	MFGR#24	68977639
-1997	CANADA	MFGR#25	69718345
-1997	PERU	MFGR#11	86491759
-1997	PERU	MFGR#12	38459763
-1997	PERU	MFGR#13	74844638
-1997	PERU	MFGR#14	33890140
-1997	PERU	MFGR#15	51549827
-1997	PERU	MFGR#21	45930118
-1997	PERU	MFGR#22	79490770
-1997	PERU	MFGR#23	81097234
-1997	PERU	MFGR#24	42145567
-1997	PERU	MFGR#25	93896161
-1997	UNITED STATES	MFGR#11	128974616
-1997	UNITED STATES	MFGR#12	103852297
-1997	UNITED STATES	MFGR#13	111925293
-1997	UNITED STATES	MFGR#14	156900557
-1997	UNITED STATES	MFGR#15	147809168
-1997	UNITED STATES	MFGR#21	112788514
-1997	UNITED STATES	MFGR#22	111947464
-1997	UNITED STATES	MFGR#23	97287950
-1997	UNITED STATES	MFGR#24	133285537
-1997	UNITED STATES	MFGR#25	68097673
-1998	ARGENTINA	MFGR#11	34265472
-1998	ARGENTINA	MFGR#12	38574220
-1998	ARGENTINA	MFGR#13	54861309
-1998	ARGENTINA	MFGR#14	44132616
-1998	ARGENTINA	MFGR#15	46293084
-1998	ARGENTINA	MFGR#21	20943149
-1998	ARGENTINA	MFGR#22	31396688
-1998	ARGENTINA	MFGR#23	33142495
-1998	ARGENTINA	MFGR#24	38183235
-1998	ARGENTINA	MFGR#25	47966630
-1998	BRAZIL	MFGR#11	9682250
-1998	BRAZIL	MFGR#12	42674635
-1998	BRAZIL	MFGR#13	47806774
-1998	BRAZIL	MFGR#14	48944962
-1998	BRAZIL	MFGR#15	35897291
-1998	BRAZIL	MFGR#21	49067522
-1998	BRAZIL	MFGR#22	39261303
-1998	BRAZIL	MFGR#23	28969547
-1998	BRAZIL	MFGR#24	72118672
-1998	BRAZIL	MFGR#25	52144905
-1998	CANADA	MFGR#11	23156877
-1998	CANADA	MFGR#12	57017498
-1998	CANADA	MFGR#13	57600275
-1998	CANADA	MFGR#14	9031433
-1998	CANADA	MFGR#15	29733304
-1998	CANADA	MFGR#21	19140829
-1998	CANADA	MFGR#22	35257852
-1998	CANADA	MFGR#23	35225991
-1998	CANADA	MFGR#24	34724347
-1998	CANADA	MFGR#25	13482188
-1998	PERU	MFGR#11	25696896
-1998	PERU	MFGR#12	46161153
-1998	PERU	MFGR#13	26901626
-1998	PERU	MFGR#14	38016600
-1998	PERU	MFGR#15	19566691
-1998	PERU	MFGR#21	24265273
-1998	PERU	MFGR#22	25779227
-1998	PERU	MFGR#23	39744896
-1998	PERU	MFGR#24	42297999
-1998	PERU	MFGR#25	38086043
-1998	UNITED STATES	MFGR#11	76915262
-1998	UNITED STATES	MFGR#12	67705762
-1998	UNITED STATES	MFGR#13	85954726
-1998	UNITED STATES	MFGR#14	62885468
-1998	UNITED STATES	MFGR#15	67836613
-1998	UNITED STATES	MFGR#21	63566982
-1998	UNITED STATES	MFGR#22	67972090
-1998	UNITED STATES	MFGR#23	94697392
-1998	UNITED STATES	MFGR#24	87772845
-1998	UNITED STATES	MFGR#25	75086780
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q4.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q4.3.out
deleted file mode 100644
index fa3b78d8ed..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/flat_q4.3.out
+++ /dev/null
@@ -1,205 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q4.3 --
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-1997	UNITED ST0	MFGR#1411	1131596
-1997	UNITED ST0	MFGR#1412	1675766
-1997	UNITED ST0	MFGR#1413	9084301
-1997	UNITED ST0	MFGR#1414	10225592
-1997	UNITED ST0	MFGR#1415	61734
-1997	UNITED ST0	MFGR#1416	2081784
-1997	UNITED ST0	MFGR#1418	4280621
-1997	UNITED ST0	MFGR#142	4272322
-1997	UNITED ST0	MFGR#1420	4995802
-1997	UNITED ST0	MFGR#1422	7777485
-1997	UNITED ST0	MFGR#1424	415314
-1997	UNITED ST0	MFGR#1426	2709835
-1997	UNITED ST0	MFGR#1427	1842735
-1997	UNITED ST0	MFGR#1429	11735400
-1997	UNITED ST0	MFGR#143	1408161
-1997	UNITED ST0	MFGR#1432	6900352
-1997	UNITED ST0	MFGR#1433	2773371
-1997	UNITED ST0	MFGR#1434	11633767
-1997	UNITED ST0	MFGR#1435	8022588
-1997	UNITED ST0	MFGR#1436	10900405
-1997	UNITED ST0	MFGR#1437	4883797
-1997	UNITED ST0	MFGR#1439	3947594
-1997	UNITED ST0	MFGR#144	12286295
-1997	UNITED ST0	MFGR#146	3799112
-1997	UNITED ST2	MFGR#141	8618423
-1997	UNITED ST2	MFGR#1410	3307298
-1997	UNITED ST2	MFGR#1411	3890975
-1997	UNITED ST2	MFGR#1414	5676958
-1997	UNITED ST2	MFGR#1415	307670
-1997	UNITED ST2	MFGR#1421	8414075
-1997	UNITED ST2	MFGR#1422	7527974
-1997	UNITED ST2	MFGR#1423	3252824
-1997	UNITED ST2	MFGR#1424	2317371
-1997	UNITED ST2	MFGR#1426	10601349
-1997	UNITED ST2	MFGR#1433	2014845
-1997	UNITED ST2	MFGR#1435	242061
-1997	UNITED ST3	MFGR#1410	3985098
-1997	UNITED ST3	MFGR#1412	10368277
-1997	UNITED ST3	MFGR#1413	7115770
-1997	UNITED ST3	MFGR#1414	7187734
-1997	UNITED ST3	MFGR#1415	1688919
-1997	UNITED ST3	MFGR#1416	7581355
-1997	UNITED ST3	MFGR#1419	178998
-1997	UNITED ST3	MFGR#142	5373798
-1997	UNITED ST3	MFGR#1420	3051498
-1997	UNITED ST3	MFGR#1421	6361174
-1997	UNITED ST3	MFGR#1424	5265213
-1997	UNITED ST3	MFGR#1426	3085943
-1997	UNITED ST3	MFGR#1427	1442686
-1997	UNITED ST3	MFGR#1428	9607764
-1997	UNITED ST3	MFGR#143	8617915
-1997	UNITED ST3	MFGR#1430	11136547
-1997	UNITED ST3	MFGR#1432	10490356
-1997	UNITED ST3	MFGR#1434	4436541
-1997	UNITED ST3	MFGR#1435	145357
-1997	UNITED ST3	MFGR#1436	11636005
-1997	UNITED ST3	MFGR#1437	4734063
-1997	UNITED ST3	MFGR#1438	7866008
-1997	UNITED ST3	MFGR#1439	4003230
-1997	UNITED ST3	MFGR#144	2677841
-1997	UNITED ST3	MFGR#145	769796
-1997	UNITED ST3	MFGR#146	1393223
-1997	UNITED ST3	MFGR#147	13464467
-1997	UNITED ST3	MFGR#148	6894444
-1997	UNITED ST6	MFGR#1410	15314239
-1997	UNITED ST6	MFGR#1413	3296933
-1997	UNITED ST6	MFGR#142	5906623
-1997	UNITED ST6	MFGR#1422	1472298
-1997	UNITED ST6	MFGR#1424	5517883
-1997	UNITED ST6	MFGR#1425	7142620
-1997	UNITED ST6	MFGR#1426	372019
-1997	UNITED ST6	MFGR#1432	4600393
-1997	UNITED ST6	MFGR#1433	13423348
-1997	UNITED ST6	MFGR#1434	1968821
-1997	UNITED ST6	MFGR#1439	4838571
-1997	UNITED ST6	MFGR#147	3587496
-1997	UNITED ST6	MFGR#148	702290
-1997	UNITED ST6	MFGR#149	3420425
-1997	UNITED ST7	MFGR#141	234478
-1997	UNITED ST7	MFGR#1415	7270650
-1997	UNITED ST7	MFGR#1417	3729358
-1997	UNITED ST7	MFGR#1421	1236154
-1997	UNITED ST7	MFGR#1422	1790814
-1997	UNITED ST7	MFGR#1425	3083550
-1997	UNITED ST7	MFGR#1429	405372
-1997	UNITED ST7	MFGR#1430	9415365
-1997	UNITED ST7	MFGR#1431	1924890
-1997	UNITED ST7	MFGR#1434	8824017
-1997	UNITED ST7	MFGR#1436	3210582
-1997	UNITED ST7	MFGR#1438	2282974
-1997	UNITED ST7	MFGR#144	3607000
-1997	UNITED ST7	MFGR#145	4396854
-1997	UNITED ST7	MFGR#147	3872593
-1997	UNITED ST9	MFGR#1410	9705983
-1997	UNITED ST9	MFGR#1412	10366314
-1997	UNITED ST9	MFGR#1414	23471819
-1997	UNITED ST9	MFGR#1416	5079988
-1997	UNITED ST9	MFGR#1417	3909867
-1997	UNITED ST9	MFGR#1418	3542205
-1997	UNITED ST9	MFGR#1421	4807216
-1997	UNITED ST9	MFGR#1422	1601211
-1997	UNITED ST9	MFGR#1424	1046454
-1997	UNITED ST9	MFGR#1425	4189195
-1997	UNITED ST9	MFGR#1427	3301933
-1997	UNITED ST9	MFGR#143	5101762
-1997	UNITED ST9	MFGR#1430	2344496
-1997	UNITED ST9	MFGR#1431	4131978
-1997	UNITED ST9	MFGR#1432	3504323
-1997	UNITED ST9	MFGR#1435	8034673
-1997	UNITED ST9	MFGR#1436	1693656
-1997	UNITED ST9	MFGR#1437	389519
-1997	UNITED ST9	MFGR#1438	11644879
-1997	UNITED ST9	MFGR#144	3475388
-1997	UNITED ST9	MFGR#1440	4829762
-1997	UNITED ST9	MFGR#145	39653
-1997	UNITED ST9	MFGR#146	13853442
-1997	UNITED ST9	MFGR#147	3657668
-1997	UNITED ST9	MFGR#148	7887845
-1997	UNITED ST9	MFGR#149	4352548
-1998	UNITED ST0	MFGR#141	3380910
-1998	UNITED ST0	MFGR#1412	4133188
-1998	UNITED ST0	MFGR#1413	2668812
-1998	UNITED ST0	MFGR#1414	5971689
-1998	UNITED ST0	MFGR#1416	5712462
-1998	UNITED ST0	MFGR#1417	5446709
-1998	UNITED ST0	MFGR#1418	3978748
-1998	UNITED ST0	MFGR#1423	4295756
-1998	UNITED ST0	MFGR#1424	2884437
-1998	UNITED ST0	MFGR#1425	2708911
-1998	UNITED ST0	MFGR#1426	5882143
-1998	UNITED ST0	MFGR#1427	1738417
-1998	UNITED ST0	MFGR#1428	3847110
-1998	UNITED ST0	MFGR#1435	5306378
-1998	UNITED ST0	MFGR#1436	4877671
-1998	UNITED ST0	MFGR#1437	1254408
-1998	UNITED ST0	MFGR#147	3440479
-1998	UNITED ST2	MFGR#1412	3989941
-1998	UNITED ST2	MFGR#1414	2615699
-1998	UNITED ST2	MFGR#1415	1164247
-1998	UNITED ST2	MFGR#1416	1140355
-1998	UNITED ST2	MFGR#142	2914401
-1998	UNITED ST2	MFGR#1430	4795306
-1998	UNITED ST2	MFGR#1432	3987452
-1998	UNITED ST2	MFGR#1433	3452627
-1998	UNITED ST2	MFGR#146	2296424
-1998	UNITED ST2	MFGR#149	6706568
-1998	UNITED ST3	MFGR#1410	4569384
-1998	UNITED ST3	MFGR#1415	2726191
-1998	UNITED ST3	MFGR#1416	5554404
-1998	UNITED ST3	MFGR#1417	8590630
-1998	UNITED ST3	MFGR#1418	920355
-1998	UNITED ST3	MFGR#1421	3044496
-1998	UNITED ST3	MFGR#1422	4335121
-1998	UNITED ST3	MFGR#1423	2625064
-1998	UNITED ST3	MFGR#1427	5563641
-1998	UNITED ST3	MFGR#1428	3310166
-1998	UNITED ST3	MFGR#1429	2142148
-1998	UNITED ST3	MFGR#1431	12064252
-1998	UNITED ST3	MFGR#1434	2678930
-1998	UNITED ST3	MFGR#1435	5573130
-1998	UNITED ST3	MFGR#1437	1179224
-1998	UNITED ST3	MFGR#1438	1110737
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-1998	UNITED ST6	MFGR#142	4218991
-1998	UNITED ST6	MFGR#1427	5151664
-1998	UNITED ST6	MFGR#1432	4737390
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-1998	UNITED ST6	MFGR#1439	3255983
-1998	UNITED ST6	MFGR#144	2557646
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-1998	UNITED ST7	MFGR#141	2482134
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-1998	UNITED ST7	MFGR#1415	4914228
-1998	UNITED ST7	MFGR#1418	3723433
-1998	UNITED ST7	MFGR#1421	2916659
-1998	UNITED ST7	MFGR#143	1427968
-1998	UNITED ST7	MFGR#1431	1723135
-1998	UNITED ST7	MFGR#1436	3384193
-1998	UNITED ST7	MFGR#1437	3885888
-1998	UNITED ST7	MFGR#1438	6004902
-1998	UNITED ST7	MFGR#1439	2611386
-1998	UNITED ST7	MFGR#144	2322930
-1998	UNITED ST9	MFGR#1413	13244182
-1998	UNITED ST9	MFGR#1414	3962036
-1998	UNITED ST9	MFGR#1415	5012323
-1998	UNITED ST9	MFGR#1419	1926911
-1998	UNITED ST9	MFGR#1428	3816952
-1998	UNITED ST9	MFGR#143	2438736
-1998	UNITED ST9	MFGR#1430	2182673
-1998	UNITED ST9	MFGR#1432	2749769
-1998	UNITED ST9	MFGR#1435	9924298
-1998	UNITED ST9	MFGR#1437	8516771
-1998	UNITED ST9	MFGR#1438	5374476
-1998	UNITED ST9	MFGR#149	4740736
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.1.out
deleted file mode 100644
index 9ecb53d559..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.1.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q1.1 --
-40408592843
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.2.out
deleted file mode 100644
index a8d56f8498..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.2.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q1.2 --
-9122707260
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.3.out
deleted file mode 100644
index 0833aec60b..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q1.3 --
-2458647398
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.1.out
deleted file mode 100644
index 232f9e4e85..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.1.out
+++ /dev/null
@@ -1,283 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q2.1 --
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-64452428	1997	MFGR#1219
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-69279406	1997	MFGR#1221
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-82101226	1997	MFGR#1232
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-47016892	1997	MFGR#1234
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-49230267	1997	MFGR#1236
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-73636093	1997	MFGR#124
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-49503830	1997	MFGR#125
-40570441	1997	MFGR#126
-52426752	1997	MFGR#127
-56182164	1997	MFGR#128
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-3549137	1998	MFGR#121
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-20393668	1998	MFGR#1211
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-24156825	1998	MFGR#123
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-16736766	1998	MFGR#1240
-29646784	1998	MFGR#125
-19901786	1998	MFGR#126
-45106934	1998	MFGR#127
-26254536	1998	MFGR#128
-42825370	1998	MFGR#129
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.2.out
deleted file mode 100644
index 2138bd6c5c..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.2.out
+++ /dev/null
@@ -1,59 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q2.2 --
-49901521	1992	MFGR#2221
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-48431542	1998	MFGR#2223
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-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.3.out
deleted file mode 100644
index 733f08f519..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.3.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q2.3 --
-126104513	1992	MFGR#2239
-55041640	1993	MFGR#2239
-53176975	1994	MFGR#2239
-91516581	1995	MFGR#2239
-89177504	1996	MFGR#2239
-109557743	1997	MFGR#2239
-64474863	1998	MFGR#2239
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.1.out
deleted file mode 100644
index 288045b787..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.1.out
+++ /dev/null
@@ -1,153 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q3.1 --
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-INDIA	JAPAN	1997	591931506
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-JAPAN	VIETNAM	1997	560180609
-INDIA	VIETNAM	1997	537809881
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-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.2.out
deleted file mode 100644
index 2a9fd536b0..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.2.out
+++ /dev/null
@@ -1,317 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q3.2 --
-UNITED ST4	UNITED ST0	1992	41731025
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-UNITED ST7	UNITED ST7	1995	8726612
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-UNITED ST0	UNITED ST6	1995	6314215
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-UNITED ST3	UNITED ST9	1995	5823913
-UNITED ST1	UNITED ST2	1995	5797623
-UNITED ST4	UNITED ST2	1995	5343777
-UNITED ST8	UNITED ST0	1995	4872186
-UNITED ST7	UNITED ST2	1995	4793054
-UNITED ST3	UNITED ST3	1995	4757898
-UNITED ST5	UNITED ST2	1995	4727810
-UNITED ST6	UNITED ST9	1995	4323440
-UNITED ST5	UNITED ST6	1995	4074166
-UNITED ST1	UNITED ST7	1995	3766151
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-UNITED ST6	UNITED ST7	1995	121961
-UNITED ST7	UNITED ST0	1996	43046117
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-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.3.out
deleted file mode 100644
index dcedf5dafb..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.3.out
+++ /dev/null
@@ -1,9 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q3.3 --
-UNITED KI5	UNITED KI1	1992	4397192
-UNITED KI5	UNITED KI1	1993	7269877
-UNITED KI1	UNITED KI1	1993	1243929
-UNITED KI1	UNITED KI1	1995	7942813
-UNITED KI5	UNITED KI1	1995	7117276
-UNITED KI5	UNITED KI1	1996	5994601
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.4.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.4.out
deleted file mode 100644
index 323488d2bd..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.4.out
+++ /dev/null
@@ -1,3 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q3.4 --
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.1.out
deleted file mode 100644
index 0b031905db..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.1.out
+++ /dev/null
@@ -1,38 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q4.1 --
-1992	ARGENTINA	761138275
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-1992	CANADA	715150888
-1992	PERU	786152296
-1992	UNITED STATES	907927557
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-1993	PERU	662883880
-1993	UNITED STATES	839069702
-1994	ARGENTINA	876750011
-1994	BRAZIL	812474812
-1994	CANADA	869964593
-1994	PERU	747762673
-1994	UNITED STATES	976192749
-1995	ARGENTINA	759176421
-1995	BRAZIL	801672129
-1995	CANADA	839133378
-1995	PERU	824927582
-1995	UNITED STATES	834105034
-1996	ARGENTINA	694255805
-1996	BRAZIL	881917583
-1996	CANADA	837622649
-1996	PERU	679125115
-1996	UNITED STATES	813543116
-1997	ARGENTINA	757821503
-1997	BRAZIL	680132381
-1997	CANADA	867432100
-1997	PERU	786577542
-1997	UNITED STATES	814894451
-1998	ARGENTINA	368756023
-1998	BRAZIL	560248513
-1998	CANADA	455229134
-1998	PERU	436261212
-1998	UNITED STATES	387112795
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.2.out
deleted file mode 100644
index 05cc79533b..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.2.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q4.2 --
-1997	ARGENTINA	MFGR#11	84900777
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-1997	ARGENTINA	MFGR#13	64922663
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-1997	BRAZIL	MFGR#11	92141153
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-1997	CANADA	MFGR#11	57810845
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-1997	PERU	MFGR#11	86491759
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-1997	PERU	MFGR#14	33890140
-1997	PERU	MFGR#15	51549827
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-1997	PERU	MFGR#25	93896161
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-1998	ARGENTINA	MFGR#11	34265472
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-1998	UNITED STATES	MFGR#25	75086780
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.3.out
deleted file mode 100644
index 8723527958..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.3.out
+++ /dev/null
@@ -1,205 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q4.3 --
-1997	UNITED ST0	MFGR#1410	13477726
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-1998	UNITED ST2	MFGR#142	2914401
-1998	UNITED ST2	MFGR#1430	4795306
-1998	UNITED ST2	MFGR#1432	3987452
-1998	UNITED ST2	MFGR#1433	3452627
-1998	UNITED ST2	MFGR#146	2296424
-1998	UNITED ST2	MFGR#149	6706568
-1998	UNITED ST3	MFGR#1410	4569384
-1998	UNITED ST3	MFGR#1415	2726191
-1998	UNITED ST3	MFGR#1416	5554404
-1998	UNITED ST3	MFGR#1417	8590630
-1998	UNITED ST3	MFGR#1418	920355
-1998	UNITED ST3	MFGR#1421	3044496
-1998	UNITED ST3	MFGR#1422	4335121
-1998	UNITED ST3	MFGR#1423	2625064
-1998	UNITED ST3	MFGR#1427	5563641
-1998	UNITED ST3	MFGR#1428	3310166
-1998	UNITED ST3	MFGR#1429	2142148
-1998	UNITED ST3	MFGR#1431	12064252
-1998	UNITED ST3	MFGR#1434	2678930
-1998	UNITED ST3	MFGR#1435	5573130
-1998	UNITED ST3	MFGR#1437	1179224
-1998	UNITED ST3	MFGR#1438	1110737
-1998	UNITED ST3	MFGR#144	5768414
-1998	UNITED ST3	MFGR#145	6943188
-1998	UNITED ST3	MFGR#146	6264244
-1998	UNITED ST3	MFGR#147	6623163
-1998	UNITED ST6	MFGR#1414	2377768
-1998	UNITED ST6	MFGR#1416	2547588
-1998	UNITED ST6	MFGR#1419	4889639
-1998	UNITED ST6	MFGR#142	4218991
-1998	UNITED ST6	MFGR#1427	5151664
-1998	UNITED ST6	MFGR#1432	4737390
-1998	UNITED ST6	MFGR#1435	379286
-1998	UNITED ST6	MFGR#1439	3255983
-1998	UNITED ST6	MFGR#144	2557646
-1998	UNITED ST6	MFGR#1440	2377229
-1998	UNITED ST7	MFGR#141	2482134
-1998	UNITED ST7	MFGR#1410	5139336
-1998	UNITED ST7	MFGR#1413	4188060
-1998	UNITED ST7	MFGR#1415	4914228
-1998	UNITED ST7	MFGR#1418	3723433
-1998	UNITED ST7	MFGR#1421	2916659
-1998	UNITED ST7	MFGR#143	1427968
-1998	UNITED ST7	MFGR#1431	1723135
-1998	UNITED ST7	MFGR#1436	3384193
-1998	UNITED ST7	MFGR#1437	3885888
-1998	UNITED ST7	MFGR#1438	6004902
-1998	UNITED ST7	MFGR#1439	2611386
-1998	UNITED ST7	MFGR#144	2322930
-1998	UNITED ST9	MFGR#1413	13244182
-1998	UNITED ST9	MFGR#1414	3962036
-1998	UNITED ST9	MFGR#1415	5012323
-1998	UNITED ST9	MFGR#1419	1926911
-1998	UNITED ST9	MFGR#1428	3816952
-1998	UNITED ST9	MFGR#143	2438736
-1998	UNITED ST9	MFGR#1430	2182673
-1998	UNITED ST9	MFGR#1432	2749769
-1998	UNITED ST9	MFGR#1435	9924298
-1998	UNITED ST9	MFGR#1437	8516771
-1998	UNITED ST9	MFGR#1438	5374476
-1998	UNITED ST9	MFGR#149	4740736
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q1.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q1.1.out
deleted file mode 100644
index b18ebc297a..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q1.1.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q1.1 --
-\N
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q1.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q1.2.out
deleted file mode 100644
index d426b6841c..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q1.2.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q1.2 --
-\N
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q1.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q1.3.out
deleted file mode 100644
index b0b8f427e3..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q1.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q1.3 --
-\N
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q2.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q2.1.out
deleted file mode 100644
index 540abcdf75..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q2.1.out
+++ /dev/null
@@ -1,43 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q2.1 --
-29165996	1992	MFGR#121
-23120066	1992	MFGR#1210
-52982362	1992	MFGR#1211
-30954680	1992	MFGR#1212
-15288453	1992	MFGR#1213
-7655070	1992	MFGR#1214
-22246540	1992	MFGR#1215
-19716439	1992	MFGR#1216
-43666251	1992	MFGR#1217
-22759602	1992	MFGR#1218
-23318799	1992	MFGR#1219
-74056106	1992	MFGR#122
-51050565	1992	MFGR#1220
-38878674	1992	MFGR#1221
-16558051	1992	MFGR#1222
-26690787	1992	MFGR#1223
-76498594	1992	MFGR#1224
-32608903	1992	MFGR#1225
-47636685	1992	MFGR#1226
-27691433	1992	MFGR#1227
-32513490	1992	MFGR#1228
-35514258	1992	MFGR#1229
-17199862	1992	MFGR#123
-24678908	1992	MFGR#1230
-26231337	1992	MFGR#1231
-36330900	1992	MFGR#1232
-24946678	1992	MFGR#1233
-36431683	1992	MFGR#1234
-39368479	1992	MFGR#1235
-44456974	1992	MFGR#1236
-31443810	1992	MFGR#1237
-49003021	1992	MFGR#1238
-31379822	1992	MFGR#1239
-24245603	1992	MFGR#124
-49870826	1992	MFGR#1240
-28194770	1992	MFGR#125
-40503844	1992	MFGR#126
-36027836	1992	MFGR#127
-35881895	1992	MFGR#128
-21732451	1992	MFGR#129
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q2.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q2.2.out
deleted file mode 100644
index caf3a8df5c..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q2.2.out
+++ /dev/null
@@ -1,11 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q2.2 --
-28235270	1992	MFGR#2221
-64071827	1992	MFGR#2222
-48591160	1992	MFGR#2223
-20416501	1992	MFGR#2224
-74950776	1992	MFGR#2225
-60628045	1992	MFGR#2226
-39273349	1992	MFGR#2227
-66658087	1992	MFGR#2228
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q2.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q2.3.out
deleted file mode 100644
index a4e2056f62..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q2.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q2.3 --
-89380397	1992	MFGR#2239
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.1.out
deleted file mode 100644
index bb27d26bf3..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.1.out
+++ /dev/null
@@ -1,28 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q3.1 --
-JAPAN	CHINA	1992	637991852
-VIETNAM	CHINA	1992	621845377
-INDONESIA	CHINA	1992	621316255
-CHINA	CHINA	1992	614550901
-INDIA	CHINA	1992	561966207
-INDIA	INDONESIA	1992	487449629
-INDONESIA	INDONESIA	1992	477417717
-JAPAN	INDONESIA	1992	476513261
-JAPAN	VIETNAM	1992	468999429
-INDONESIA	JAPAN	1992	465870469
-VIETNAM	INDONESIA	1992	462424521
-INDIA	JAPAN	1992	412186106
-JAPAN	JAPAN	1992	399179790
-VIETNAM	JAPAN	1992	395247587
-JAPAN	INDIA	1992	393835589
-CHINA	INDONESIA	1992	352903905
-CHINA	INDIA	1992	348359904
-VIETNAM	VIETNAM	1992	342176333
-INDIA	VIETNAM	1992	334582962
-INDIA	INDIA	1992	329354089
-CHINA	JAPAN	1992	327558220
-CHINA	VIETNAM	1992	324763767
-INDONESIA	INDIA	1992	310417666
-VIETNAM	INDIA	1992	296225919
-INDONESIA	VIETNAM	1992	278083418
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.2.out
deleted file mode 100644
index 11fefed135..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.2.out
+++ /dev/null
@@ -1,51 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q3.2 --
-UNITED ST4	UNITED ST0	1992	34626982
-UNITED ST4	UNITED ST3	1992	29767238
-UNITED ST1	UNITED ST9	1992	25644597
-UNITED ST2	UNITED ST0	1992	23943154
-UNITED ST4	UNITED ST9	1992	21189183
-UNITED ST0	UNITED ST0	1992	18293852
-UNITED ST7	UNITED ST3	1992	17996772
-UNITED ST9	UNITED ST3	1992	17863433
-UNITED ST1	UNITED ST7	1992	17410800
-UNITED ST2	UNITED ST3	1992	15331073
-UNITED ST5	UNITED ST9	1992	14448179
-UNITED ST1	UNITED ST3	1992	13938002
-UNITED ST5	UNITED ST6	1992	12398029
-UNITED ST9	UNITED ST2	1992	12370917
-UNITED ST2	UNITED ST9	1992	12343455
-UNITED ST5	UNITED ST0	1992	12301234
-UNITED ST6	UNITED ST0	1992	11900889
-UNITED ST4	UNITED ST2	1992	11696334
-UNITED ST4	UNITED ST6	1992	11369008
-UNITED ST1	UNITED ST6	1992	11000283
-UNITED ST1	UNITED ST0	1992	10878084
-UNITED ST4	UNITED ST7	1992	10151573
-UNITED ST5	UNITED ST2	1992	9917834
-UNITED ST7	UNITED ST7	1992	9715656
-UNITED ST6	UNITED ST6	1992	8685228
-UNITED ST2	UNITED ST2	1992	8313714
-UNITED ST1	UNITED ST2	1992	8004700
-UNITED ST2	UNITED ST7	1992	7759164
-UNITED ST0	UNITED ST7	1992	7137641
-UNITED ST9	UNITED ST7	1992	6703890
-UNITED ST6	UNITED ST9	1992	6597261
-UNITED ST7	UNITED ST2	1992	6125476
-UNITED ST7	UNITED ST6	1992	6058017
-UNITED ST5	UNITED ST3	1992	5862031
-UNITED ST8	UNITED ST9	1992	5690491
-UNITED ST7	UNITED ST9	1992	5403152
-UNITED ST9	UNITED ST0	1992	4816370
-UNITED ST9	UNITED ST9	1992	4234523
-UNITED ST3	UNITED ST3	1992	4080199
-UNITED ST5	UNITED ST7	1992	3936271
-UNITED ST8	UNITED ST0	1992	3574169
-UNITED ST0	UNITED ST3	1992	3201624
-UNITED ST3	UNITED ST9	1992	2614811
-UNITED ST8	UNITED ST7	1992	2373825
-UNITED ST9	UNITED ST6	1992	2066609
-UNITED ST7	UNITED ST0	1992	1882015
-UNITED ST6	UNITED ST3	1992	1873819
-UNITED ST6	UNITED ST2	1992	291566
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.3.out
deleted file mode 100644
index ce81ac1422..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q3.3 --
-UNITED KI5	UNITED KI1	1992	4397192
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.4.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.4.out
deleted file mode 100644
index 607440e100..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q3.4.out
+++ /dev/null
@@ -1,3 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q3.4 --
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q4.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q4.1.out
deleted file mode 100644
index 2af42dde26..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q4.1.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q4.1 --
-1992	ARGENTINA	533196600
-1992	BRAZIL	684224630
-1992	CANADA	532686194
-1992	PERU	586223155
-1992	UNITED STATES	682387184
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q4.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q4.2.out
deleted file mode 100644
index 20e9f42570..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q4.2.out
+++ /dev/null
@@ -1,3 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q4.2 --
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q4.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q4.3.out
deleted file mode 100644
index 81c7ea357b..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/pipeline_q4.3.out
+++ /dev/null
@@ -1,3 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q4.3 --
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q1.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q1.1.out
deleted file mode 100644
index 92604403fd..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q1.1.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q1.1 --
-\N
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q1.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q1.2.out
deleted file mode 100644
index 22731ac444..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q1.2.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q1.2 --
-\N
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q1.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q1.3.out
deleted file mode 100644
index 71908d1f12..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q1.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q1.3 --
-\N
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q2.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q2.1.out
deleted file mode 100644
index 9d56f6e633..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q2.1.out
+++ /dev/null
@@ -1,43 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q2.1 --
-29165996	1992	MFGR#121
-23120066	1992	MFGR#1210
-52982362	1992	MFGR#1211
-30954680	1992	MFGR#1212
-15288453	1992	MFGR#1213
-7655070	1992	MFGR#1214
-22246540	1992	MFGR#1215
-19716439	1992	MFGR#1216
-43666251	1992	MFGR#1217
-22759602	1992	MFGR#1218
-23318799	1992	MFGR#1219
-74056106	1992	MFGR#122
-51050565	1992	MFGR#1220
-38878674	1992	MFGR#1221
-16558051	1992	MFGR#1222
-26690787	1992	MFGR#1223
-76498594	1992	MFGR#1224
-32608903	1992	MFGR#1225
-47636685	1992	MFGR#1226
-27691433	1992	MFGR#1227
-32513490	1992	MFGR#1228
-35514258	1992	MFGR#1229
-17199862	1992	MFGR#123
-24678908	1992	MFGR#1230
-26231337	1992	MFGR#1231
-36330900	1992	MFGR#1232
-24946678	1992	MFGR#1233
-36431683	1992	MFGR#1234
-39368479	1992	MFGR#1235
-44456974	1992	MFGR#1236
-31443810	1992	MFGR#1237
-49003021	1992	MFGR#1238
-31379822	1992	MFGR#1239
-24245603	1992	MFGR#124
-49870826	1992	MFGR#1240
-28194770	1992	MFGR#125
-40503844	1992	MFGR#126
-36027836	1992	MFGR#127
-35881895	1992	MFGR#128
-21732451	1992	MFGR#129
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q2.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q2.2.out
deleted file mode 100644
index debe195012..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q2.2.out
+++ /dev/null
@@ -1,11 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q2.2 --
-28235270	1992	MFGR#2221
-64071827	1992	MFGR#2222
-48591160	1992	MFGR#2223
-20416501	1992	MFGR#2224
-74950776	1992	MFGR#2225
-60628045	1992	MFGR#2226
-39273349	1992	MFGR#2227
-66658087	1992	MFGR#2228
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q2.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q2.3.out
deleted file mode 100644
index 40b3220406..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q2.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q2.3 --
-89380397	1992	MFGR#2239
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.1.out
deleted file mode 100644
index a50f6a20d5..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.1.out
+++ /dev/null
@@ -1,28 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q3.1 --
-JAPAN	CHINA	1992	637991852
-VIETNAM	CHINA	1992	621845377
-INDONESIA	CHINA	1992	621316255
-CHINA	CHINA	1992	614550901
-INDIA	CHINA	1992	561966207
-INDIA	INDONESIA	1992	487449629
-INDONESIA	INDONESIA	1992	477417717
-JAPAN	INDONESIA	1992	476513261
-JAPAN	VIETNAM	1992	468999429
-INDONESIA	JAPAN	1992	465870469
-VIETNAM	INDONESIA	1992	462424521
-INDIA	JAPAN	1992	412186106
-JAPAN	JAPAN	1992	399179790
-VIETNAM	JAPAN	1992	395247587
-JAPAN	INDIA	1992	393835589
-CHINA	INDONESIA	1992	352903905
-CHINA	INDIA	1992	348359904
-VIETNAM	VIETNAM	1992	342176333
-INDIA	VIETNAM	1992	334582962
-INDIA	INDIA	1992	329354089
-CHINA	JAPAN	1992	327558220
-CHINA	VIETNAM	1992	324763767
-INDONESIA	INDIA	1992	310417666
-VIETNAM	INDIA	1992	296225919
-INDONESIA	VIETNAM	1992	278083418
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.2.out
deleted file mode 100644
index 1109fa3ce8..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.2.out
+++ /dev/null
@@ -1,51 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q3.2 --
-UNITED ST4	UNITED ST0	1992	34626982
-UNITED ST4	UNITED ST3	1992	29767238
-UNITED ST1	UNITED ST9	1992	25644597
-UNITED ST2	UNITED ST0	1992	23943154
-UNITED ST4	UNITED ST9	1992	21189183
-UNITED ST0	UNITED ST0	1992	18293852
-UNITED ST7	UNITED ST3	1992	17996772
-UNITED ST9	UNITED ST3	1992	17863433
-UNITED ST1	UNITED ST7	1992	17410800
-UNITED ST2	UNITED ST3	1992	15331073
-UNITED ST5	UNITED ST9	1992	14448179
-UNITED ST1	UNITED ST3	1992	13938002
-UNITED ST5	UNITED ST6	1992	12398029
-UNITED ST9	UNITED ST2	1992	12370917
-UNITED ST2	UNITED ST9	1992	12343455
-UNITED ST5	UNITED ST0	1992	12301234
-UNITED ST6	UNITED ST0	1992	11900889
-UNITED ST4	UNITED ST2	1992	11696334
-UNITED ST4	UNITED ST6	1992	11369008
-UNITED ST1	UNITED ST6	1992	11000283
-UNITED ST1	UNITED ST0	1992	10878084
-UNITED ST4	UNITED ST7	1992	10151573
-UNITED ST5	UNITED ST2	1992	9917834
-UNITED ST7	UNITED ST7	1992	9715656
-UNITED ST6	UNITED ST6	1992	8685228
-UNITED ST2	UNITED ST2	1992	8313714
-UNITED ST1	UNITED ST2	1992	8004700
-UNITED ST2	UNITED ST7	1992	7759164
-UNITED ST0	UNITED ST7	1992	7137641
-UNITED ST9	UNITED ST7	1992	6703890
-UNITED ST6	UNITED ST9	1992	6597261
-UNITED ST7	UNITED ST2	1992	6125476
-UNITED ST7	UNITED ST6	1992	6058017
-UNITED ST5	UNITED ST3	1992	5862031
-UNITED ST8	UNITED ST9	1992	5690491
-UNITED ST7	UNITED ST9	1992	5403152
-UNITED ST9	UNITED ST0	1992	4816370
-UNITED ST9	UNITED ST9	1992	4234523
-UNITED ST3	UNITED ST3	1992	4080199
-UNITED ST5	UNITED ST7	1992	3936271
-UNITED ST8	UNITED ST0	1992	3574169
-UNITED ST0	UNITED ST3	1992	3201624
-UNITED ST3	UNITED ST9	1992	2614811
-UNITED ST8	UNITED ST7	1992	2373825
-UNITED ST9	UNITED ST6	1992	2066609
-UNITED ST7	UNITED ST0	1992	1882015
-UNITED ST6	UNITED ST3	1992	1873819
-UNITED ST6	UNITED ST2	1992	291566
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.3.out
deleted file mode 100644
index 6f33841912..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q3.3 --
-UNITED KI5	UNITED KI1	1992	4397192
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.4.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.4.out
deleted file mode 100644
index 3738fc2859..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q3.4.out
+++ /dev/null
@@ -1,3 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q3.4 --
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q4.1.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q4.1.out
deleted file mode 100644
index 00bc9ddd7c..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q4.1.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q4.1 --
-1992	ARGENTINA	533196600
-1992	BRAZIL	684224630
-1992	CANADA	532686194
-1992	PERU	586223155
-1992	UNITED STATES	682387184
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q4.2.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q4.2.out
deleted file mode 100644
index 30fae3d4bf..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q4.2.out
+++ /dev/null
@@ -1,3 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q4.2 --
-
diff --git a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q4.3.out b/regression-test/data/datev2/ssb_sf0.1_p1/sql/q4.3.out
deleted file mode 100644
index 741016a89d..0000000000
--- a/regression-test/data/datev2/ssb_sf0.1_p1/sql/q4.3.out
+++ /dev/null
@@ -1,3 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q4.3 --
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q1.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q1.1.out
deleted file mode 100644
index 58a86b03f0..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q1.1.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q1.1 --
-446031203850
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q1.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q1.2.out
deleted file mode 100644
index 7ca21d7cbb..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q1.2.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q1.2 --
-98714004603
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q1.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q1.3.out
deleted file mode 100644
index b6051a2843..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q1.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q1.3 --
-26110729246
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q2.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q2.1.out
deleted file mode 100644
index 9b4932a76b..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q2.1.out
+++ /dev/null
@@ -1,283 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q2.1 --
-567838207	1992	MFGR#121
-610663790	1992	MFGR#1210
-550769662	1992	MFGR#1211
-649205856	1992	MFGR#1212
-624031241	1992	MFGR#1213
-670488468	1992	MFGR#1214
-633152470	1992	MFGR#1215
-674846781	1992	MFGR#1216
-675093435	1992	MFGR#1217
-600202070	1992	MFGR#1218
-538043594	1992	MFGR#1219
-655326672	1992	MFGR#122
-540262882	1992	MFGR#1220
-556120633	1992	MFGR#1221
-590762777	1992	MFGR#1222
-535448651	1992	MFGR#1223
-703752611	1992	MFGR#1224
-570832868	1992	MFGR#1225
-614061593	1992	MFGR#1226
-581759388	1992	MFGR#1227
-644642592	1992	MFGR#1228
-640858430	1992	MFGR#1229
-789755835	1992	MFGR#123
-468535087	1992	MFGR#1230
-592436656	1992	MFGR#1231
-664275152	1992	MFGR#1232
-613885100	1992	MFGR#1233
-667399281	1992	MFGR#1234
-640290070	1992	MFGR#1235
-501892561	1992	MFGR#1236
-591481503	1992	MFGR#1237
-477423770	1992	MFGR#1238
-638259374	1992	MFGR#1239
-572354196	1992	MFGR#124
-740479248	1992	MFGR#1240
-478777095	1992	MFGR#125
-592174616	1992	MFGR#126
-706151632	1992	MFGR#127
-542306646	1992	MFGR#128
-581987352	1992	MFGR#129
-823087702	1993	MFGR#121
-648160706	1993	MFGR#1210
-634743898	1993	MFGR#1211
-785639283	1993	MFGR#1212
-638255029	1993	MFGR#1213
-616837237	1993	MFGR#1214
-634687975	1993	MFGR#1215
-638353900	1993	MFGR#1216
-663372951	1993	MFGR#1217
-683985855	1993	MFGR#1218
-646950033	1993	MFGR#1219
-622532984	1993	MFGR#122
-530830127	1993	MFGR#1220
-543346337	1993	MFGR#1221
-756921203	1993	MFGR#1222
-533544350	1993	MFGR#1223
-915916085	1993	MFGR#1224
-473007381	1993	MFGR#1225
-739036124	1993	MFGR#1226
-592178887	1993	MFGR#1227
-583507058	1993	MFGR#1228
-617453491	1993	MFGR#1229
-637863868	1993	MFGR#123
-625534310	1993	MFGR#1230
-580327635	1993	MFGR#1231
-697373098	1993	MFGR#1232
-515571416	1993	MFGR#1233
-651935758	1993	MFGR#1234
-575779480	1993	MFGR#1235
-591878667	1993	MFGR#1236
-609618576	1993	MFGR#1237
-444614010	1993	MFGR#1238
-595256327	1993	MFGR#1239
-660586237	1993	MFGR#124
-788730059	1993	MFGR#1240
-616224539	1993	MFGR#125
-617126754	1993	MFGR#126
-654438324	1993	MFGR#127
-731657001	1993	MFGR#128
-548048395	1993	MFGR#129
-564405648	1994	MFGR#121
-645404849	1994	MFGR#1210
-631620635	1994	MFGR#1211
-568332348	1994	MFGR#1212
-678785857	1994	MFGR#1213
-534002330	1994	MFGR#1214
-654400242	1994	MFGR#1215
-558646341	1994	MFGR#1216
-687845641	1994	MFGR#1217
-546674347	1994	MFGR#1218
-567272942	1994	MFGR#1219
-659884062	1994	MFGR#122
-562582172	1994	MFGR#1220
-598618997	1994	MFGR#1221
-601016441	1994	MFGR#1222
-555134404	1994	MFGR#1223
-737422302	1994	MFGR#1224
-570745955	1994	MFGR#1225
-746302245	1994	MFGR#1226
-651707481	1994	MFGR#1227
-573693547	1994	MFGR#1228
-647918373	1994	MFGR#1229
-580449592	1994	MFGR#123
-493270412	1994	MFGR#1230
-603546148	1994	MFGR#1231
-719865331	1994	MFGR#1232
-638982238	1994	MFGR#1233
-743247677	1994	MFGR#1234
-598680959	1994	MFGR#1235
-615726097	1994	MFGR#1236
-542569815	1994	MFGR#1237
-573510781	1994	MFGR#1238
-579855853	1994	MFGR#1239
-684573322	1994	MFGR#124
-873735737	1994	MFGR#1240
-560488304	1994	MFGR#125
-657036514	1994	MFGR#126
-622571183	1994	MFGR#127
-586845664	1994	MFGR#128
-534541525	1994	MFGR#129
-706469511	1995	MFGR#121
-602892803	1995	MFGR#1210
-645166092	1995	MFGR#1211
-613289283	1995	MFGR#1212
-599586479	1995	MFGR#1213
-562570804	1995	MFGR#1214
-672528755	1995	MFGR#1215
-669000972	1995	MFGR#1216
-725362449	1995	MFGR#1217
-657026635	1995	MFGR#1218
-519659003	1995	MFGR#1219
-724727741	1995	MFGR#122
-517956131	1995	MFGR#1220
-635741351	1995	MFGR#1221
-564368410	1995	MFGR#1222
-600665149	1995	MFGR#1223
-762700351	1995	MFGR#1224
-671669586	1995	MFGR#1225
-572568748	1995	MFGR#1226
-530361300	1995	MFGR#1227
-633357085	1995	MFGR#1228
-547960244	1995	MFGR#1229
-660711077	1995	MFGR#123
-602735858	1995	MFGR#1230
-499852146	1995	MFGR#1231
-715300753	1995	MFGR#1232
-557149571	1995	MFGR#1233
-710023059	1995	MFGR#1234
-622425239	1995	MFGR#1235
-634565501	1995	MFGR#1236
-572847270	1995	MFGR#1237
-549318912	1995	MFGR#1238
-593851712	1995	MFGR#1239
-585421815	1995	MFGR#124
-707207888	1995	MFGR#1240
-538246872	1995	MFGR#125
-605799021	1995	MFGR#126
-665978112	1995	MFGR#127
-646960956	1995	MFGR#128
-508749401	1995	MFGR#129
-523879145	1996	MFGR#121
-643645053	1996	MFGR#1210
-595065339	1996	MFGR#1211
-674626440	1996	MFGR#1212
-496297087	1996	MFGR#1213
-583249505	1996	MFGR#1214
-702184857	1996	MFGR#1215
-601809334	1996	MFGR#1216
-704898387	1996	MFGR#1217
-528843086	1996	MFGR#1218
-586246330	1996	MFGR#1219
-712110492	1996	MFGR#122
-518444215	1996	MFGR#1220
-499319414	1996	MFGR#1221
-679469356	1996	MFGR#1222
-628762754	1996	MFGR#1223
-724844856	1996	MFGR#1224
-660620587	1996	MFGR#1225
-667674729	1996	MFGR#1226
-483838085	1996	MFGR#1227
-609855391	1996	MFGR#1228
-658959557	1996	MFGR#1229
-566217852	1996	MFGR#123
-528879998	1996	MFGR#1230
-589481194	1996	MFGR#1231
-702805896	1996	MFGR#1232
-663679947	1996	MFGR#1233
-571149450	1996	MFGR#1234
-478648074	1996	MFGR#1235
-568249365	1996	MFGR#1236
-592616167	1996	MFGR#1237
-466676148	1996	MFGR#1238
-670693719	1996	MFGR#1239
-560667719	1996	MFGR#124
-821167950	1996	MFGR#1240
-476864333	1996	MFGR#125
-558030884	1996	MFGR#126
-635873891	1996	MFGR#127
-551010618	1996	MFGR#128
-560570630	1996	MFGR#129
-587013207	1997	MFGR#121
-616287892	1997	MFGR#1210
-548588761	1997	MFGR#1211
-589593892	1997	MFGR#1212
-424306670	1997	MFGR#1213
-511971910	1997	MFGR#1214
-631772246	1997	MFGR#1215
-692135140	1997	MFGR#1216
-777994957	1997	MFGR#1217
-707053720	1997	MFGR#1218
-561169527	1997	MFGR#1219
-664916245	1997	MFGR#122
-594466157	1997	MFGR#1220
-588848171	1997	MFGR#1221
-528988960	1997	MFGR#1222
-537098211	1997	MFGR#1223
-674763166	1997	MFGR#1224
-450402292	1997	MFGR#1225
-701360722	1997	MFGR#1226
-506011570	1997	MFGR#1227
-585578737	1997	MFGR#1228
-622744016	1997	MFGR#1229
-646503168	1997	MFGR#123
-571800941	1997	MFGR#1230
-502601790	1997	MFGR#1231
-677924656	1997	MFGR#1232
-534455976	1997	MFGR#1233
-714934715	1997	MFGR#1234
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-618877179	1997	MFGR#1236
-639638057	1997	MFGR#1237
-401953419	1997	MFGR#1238
-610756714	1997	MFGR#1239
-543248087	1997	MFGR#124
-675132692	1997	MFGR#1240
-479099365	1997	MFGR#125
-570696568	1997	MFGR#126
-583074592	1997	MFGR#127
-695133104	1997	MFGR#128
-655638776	1997	MFGR#129
-344575925	1998	MFGR#121
-417152416	1998	MFGR#1210
-317068168	1998	MFGR#1211
-374341516	1998	MFGR#1212
-332740903	1998	MFGR#1213
-304873002	1998	MFGR#1214
-366101132	1998	MFGR#1215
-379133898	1998	MFGR#1216
-359508497	1998	MFGR#1217
-320623334	1998	MFGR#1218
-346182862	1998	MFGR#1219
-312440027	1998	MFGR#122
-348123961	1998	MFGR#1220
-339845398	1998	MFGR#1221
-355416161	1998	MFGR#1222
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-419415707	1998	MFGR#1226
-358466340	1998	MFGR#1227
-251549955	1998	MFGR#1228
-383138860	1998	MFGR#1229
-296330561	1998	MFGR#123
-437181243	1998	MFGR#1230
-398944492	1998	MFGR#1231
-424062455	1998	MFGR#1232
-406967188	1998	MFGR#1233
-428867240	1998	MFGR#1234
-352277781	1998	MFGR#1235
-361827086	1998	MFGR#1236
-341618569	1998	MFGR#1237
-244739231	1998	MFGR#1238
-414151803	1998	MFGR#1239
-330082371	1998	MFGR#124
-415312453	1998	MFGR#1240
-360289624	1998	MFGR#125
-341657580	1998	MFGR#126
-377507061	1998	MFGR#127
-361416497	1998	MFGR#128
-318769573	1998	MFGR#129
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q2.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q2.2.out
deleted file mode 100644
index 4c53da2be7..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q2.2.out
+++ /dev/null
@@ -1,59 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q2.2 --
-709524929	1992	MFGR#2221
-783846394	1992	MFGR#2222
-765052002	1992	MFGR#2223
-651488962	1992	MFGR#2224
-646528589	1992	MFGR#2225
-709650548	1992	MFGR#2226
-745556316	1992	MFGR#2227
-756901875	1992	MFGR#2228
-766521103	1993	MFGR#2221
-691475597	1993	MFGR#2222
-758220752	1993	MFGR#2223
-669662707	1993	MFGR#2224
-773854228	1993	MFGR#2225
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-781967766	1993	MFGR#2227
-680880216	1993	MFGR#2228
-685777518	1994	MFGR#2221
-666524807	1994	MFGR#2222
-733993590	1994	MFGR#2223
-707869040	1994	MFGR#2224
-721251967	1994	MFGR#2225
-822495919	1994	MFGR#2226
-720837128	1994	MFGR#2227
-826225350	1994	MFGR#2228
-775437074	1995	MFGR#2221
-761354792	1995	MFGR#2222
-637832575	1995	MFGR#2223
-589765707	1995	MFGR#2224
-708290039	1995	MFGR#2225
-747356383	1995	MFGR#2226
-802502540	1995	MFGR#2227
-895936786	1995	MFGR#2228
-700010008	1996	MFGR#2221
-777310085	1996	MFGR#2222
-656095314	1996	MFGR#2223
-656859917	1996	MFGR#2224
-765820896	1996	MFGR#2225
-808177734	1996	MFGR#2226
-729563303	1996	MFGR#2227
-819665874	1996	MFGR#2228
-727342382	1997	MFGR#2221
-664533779	1997	MFGR#2222
-748288392	1997	MFGR#2223
-630422081	1997	MFGR#2224
-757391203	1997	MFGR#2225
-747889257	1997	MFGR#2226
-728857899	1997	MFGR#2227
-775312985	1997	MFGR#2228
-335304504	1998	MFGR#2221
-409347137	1998	MFGR#2222
-459109577	1998	MFGR#2223
-413318072	1998	MFGR#2224
-410402095	1998	MFGR#2225
-453515044	1998	MFGR#2226
-390506405	1998	MFGR#2227
-397939103	1998	MFGR#2228
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q2.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q2.3.out
deleted file mode 100644
index f1a716cfd0..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q2.3.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q2.3 --
-726427486	1992	MFGR#2239
-705238959	1993	MFGR#2239
-664145134	1994	MFGR#2239
-713839336	1995	MFGR#2239
-728492865	1996	MFGR#2239
-733896532	1997	MFGR#2239
-380255731	1998	MFGR#2239
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.1.out
deleted file mode 100644
index 9afae94c3f..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.1.out
+++ /dev/null
@@ -1,153 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q3.1 --
-INDONESIA	INDONESIA	1992	6905698988
-CHINA	INDONESIA	1992	6616078869
-CHINA	CHINA	1992	6456431477
-VIETNAM	INDONESIA	1992	6340181707
-VIETNAM	CHINA	1992	6332844390
-INDONESIA	CHINA	1992	6310709533
-INDIA	INDONESIA	1992	6238807354
-JAPAN	INDONESIA	1992	6222565638
-CHINA	INDIA	1992	6189831351
-CHINA	JAPAN	1992	6157678893
-JAPAN	CHINA	1992	6067100655
-INDIA	CHINA	1992	6066461811
-VIETNAM	JAPAN	1992	5863786349
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diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.2.out
deleted file mode 100644
index d0f90c01a1..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.2.out
+++ /dev/null
@@ -1,602 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q3.2 --
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-UNITED ST9	UNITED ST7	1995	46464589
-UNITED ST4	UNITED ST0	1995	46142899
-UNITED ST1	UNITED ST3	1995	45823056
-UNITED ST2	UNITED ST1	1995	45437340
-UNITED ST6	UNITED ST5	1995	45428152
-UNITED ST8	UNITED ST5	1995	44994863
-UNITED ST7	UNITED ST3	1995	43699734
-UNITED ST9	UNITED ST6	1995	43482494
-UNITED ST2	UNITED ST5	1995	43382417
-UNITED ST6	UNITED ST8	1995	41973920
-UNITED ST0	UNITED ST6	1995	40718942
-UNITED ST3	UNITED ST5	1995	40057815
-UNITED ST7	UNITED ST5	1995	39015293
-UNITED ST0	UNITED ST0	1995	38984502
-UNITED ST6	UNITED ST1	1995	38328352
-UNITED ST4	UNITED ST6	1995	38109524
-UNITED ST3	UNITED ST9	1995	37364623
-UNITED ST4	UNITED ST3	1995	37356396
-UNITED ST2	UNITED ST6	1995	37146288
-UNITED ST9	UNITED ST5	1995	36009924
-UNITED ST1	UNITED ST8	1995	34918793
-UNITED ST8	UNITED ST1	1995	34217780
-UNITED ST0	UNITED ST7	1995	33395313
-UNITED ST1	UNITED ST5	1995	31857452
-UNITED ST8	UNITED ST7	1995	30918202
-UNITED ST2	UNITED ST8	1995	30504189
-UNITED ST3	UNITED ST4	1995	30422346
-UNITED ST5	UNITED ST6	1995	30204737
-UNITED ST8	UNITED ST3	1995	29349938
-UNITED ST0	UNITED ST4	1995	29170038
-UNITED ST1	UNITED ST6	1995	27139403
-UNITED ST7	UNITED ST8	1995	26444490
-UNITED ST6	UNITED ST7	1995	23833977
-UNITED ST4	UNITED ST8	1995	23053236
-UNITED ST4	UNITED ST2	1995	22787003
-UNITED ST3	UNITED ST8	1995	22505239
-UNITED ST9	UNITED ST8	1995	21292527
-UNITED ST8	UNITED ST4	1995	19287311
-UNITED ST8	UNITED ST2	1995	18282990
-UNITED ST9	UNITED ST3	1995	17539102
-UNITED ST3	UNITED ST6	1995	16738530
-UNITED ST0	UNITED ST8	1995	16393249
-UNITED ST5	UNITED ST2	1995	14951023
-UNITED ST2	UNITED ST2	1995	13455031
-UNITED ST5	UNITED ST8	1995	13346932
-UNITED ST3	UNITED ST2	1995	12886829
-UNITED ST9	UNITED ST2	1995	12653362
-UNITED ST0	UNITED ST5	1995	11453709
-UNITED ST6	UNITED ST2	1995	11363551
-UNITED ST8	UNITED ST8	1995	11285867
-UNITED ST1	UNITED ST2	1995	7991676
-UNITED ST0	UNITED ST2	1995	4776460
-UNITED ST7	UNITED ST2	1995	3973565
-UNITED ST6	UNITED ST0	1996	132286763
-UNITED ST4	UNITED ST0	1996	106897563
-UNITED ST5	UNITED ST0	1996	104501979
-UNITED ST0	UNITED ST4	1996	103228749
-UNITED ST9	UNITED ST1	1996	101983827
-UNITED ST1	UNITED ST0	1996	94861554
-UNITED ST0	UNITED ST1	1996	91948777
-UNITED ST6	UNITED ST1	1996	89705870
-UNITED ST2	UNITED ST1	1996	88256155
-UNITED ST1	UNITED ST1	1996	87265848
-UNITED ST4	UNITED ST7	1996	83677814
-UNITED ST6	UNITED ST3	1996	82168229
-UNITED ST2	UNITED ST7	1996	80468477
-UNITED ST8	UNITED ST1	1996	78971756
-UNITED ST7	UNITED ST4	1996	77941011
-UNITED ST1	UNITED ST3	1996	77610905
-UNITED ST9	UNITED ST9	1996	77301740
-UNITED ST0	UNITED ST9	1996	75935209
-UNITED ST7	UNITED ST0	1996	75602445
-UNITED ST3	UNITED ST1	1996	74746699
-UNITED ST7	UNITED ST7	1996	74040644
-UNITED ST4	UNITED ST1	1996	72819867
-UNITED ST5	UNITED ST9	1996	72614114
-UNITED ST1	UNITED ST9	1996	69823769
-UNITED ST9	UNITED ST4	1996	69616614
-UNITED ST6	UNITED ST4	1996	69296005
-UNITED ST2	UNITED ST0	1996	67095122
-UNITED ST5	UNITED ST1	1996	65346389
-UNITED ST6	UNITED ST9	1996	63256182
-UNITED ST4	UNITED ST6	1996	62189328
-UNITED ST0	UNITED ST0	1996	61528855
-UNITED ST8	UNITED ST9	1996	60466691
-UNITED ST3	UNITED ST0	1996	60226840
-UNITED ST8	UNITED ST6	1996	59746655
-UNITED ST2	UNITED ST3	1996	59648598
-UNITED ST0	UNITED ST5	1996	57762895
-UNITED ST8	UNITED ST7	1996	57523925
-UNITED ST2	UNITED ST4	1996	57487057
-UNITED ST6	UNITED ST7	1996	57090619
-UNITED ST3	UNITED ST4	1996	54838259
-UNITED ST4	UNITED ST9	1996	54134840
-UNITED ST1	UNITED ST6	1996	54056366
-UNITED ST3	UNITED ST7	1996	53987218
-UNITED ST2	UNITED ST9	1996	53491415
-UNITED ST4	UNITED ST8	1996	53035662
-UNITED ST9	UNITED ST5	1996	52825922
-UNITED ST7	UNITED ST3	1996	52356886
-UNITED ST6	UNITED ST8	1996	52136784
-UNITED ST1	UNITED ST5	1996	51189649
-UNITED ST8	UNITED ST4	1996	51033054
-UNITED ST1	UNITED ST4	1996	50135547
-UNITED ST3	UNITED ST9	1996	49612304
-UNITED ST9	UNITED ST0	1996	49590701
-UNITED ST3	UNITED ST3	1996	49263796
-UNITED ST9	UNITED ST7	1996	48798759
-UNITED ST7	UNITED ST1	1996	48784175
-UNITED ST9	UNITED ST6	1996	48685063
-UNITED ST2	UNITED ST5	1996	47028976
-UNITED ST9	UNITED ST3	1996	47021018
-UNITED ST2	UNITED ST8	1996	46865113
-UNITED ST4	UNITED ST3	1996	46460940
-UNITED ST6	UNITED ST5	1996	46030104
-UNITED ST2	UNITED ST6	1996	45416649
-UNITED ST8	UNITED ST5	1996	43480473
-UNITED ST5	UNITED ST5	1996	43020722
-UNITED ST6	UNITED ST6	1996	42923032
-UNITED ST4	UNITED ST5	1996	42808412
-UNITED ST3	UNITED ST6	1996	41881628
-UNITED ST1	UNITED ST7	1996	41721506
-UNITED ST5	UNITED ST7	1996	40946330
-UNITED ST8	UNITED ST0	1996	39845427
-UNITED ST8	UNITED ST3	1996	39535940
-UNITED ST1	UNITED ST8	1996	39430882
-UNITED ST5	UNITED ST6	1996	38332044
-UNITED ST0	UNITED ST6	1996	37232062
-UNITED ST7	UNITED ST6	1996	36535628
-UNITED ST9	UNITED ST8	1996	36112301
-UNITED ST3	UNITED ST8	1996	33924732
-UNITED ST3	UNITED ST5	1996	33717439
-UNITED ST5	UNITED ST4	1996	33424859
-UNITED ST5	UNITED ST3	1996	32919926
-UNITED ST4	UNITED ST4	1996	32787995
-UNITED ST7	UNITED ST5	1996	32784224
-UNITED ST5	UNITED ST8	1996	32415682
-UNITED ST0	UNITED ST7	1996	31391181
-UNITED ST0	UNITED ST3	1996	29795665
-UNITED ST7	UNITED ST9	1996	25028091
-UNITED ST7	UNITED ST8	1996	24348851
-UNITED ST6	UNITED ST2	1996	20447847
-UNITED ST8	UNITED ST8	1996	16340603
-UNITED ST0	UNITED ST8	1996	15168262
-UNITED ST4	UNITED ST2	1996	12451867
-UNITED ST1	UNITED ST2	1996	10082536
-UNITED ST5	UNITED ST2	1996	8544233
-UNITED ST7	UNITED ST2	1996	8390470
-UNITED ST9	UNITED ST2	1996	8108035
-UNITED ST8	UNITED ST2	1996	7028334
-UNITED ST0	UNITED ST2	1996	6907199
-UNITED ST3	UNITED ST2	1996	4311800
-UNITED ST5	UNITED ST0	1997	121457766
-UNITED ST0	UNITED ST9	1997	119856268
-UNITED ST5	UNITED ST1	1997	106900161
-UNITED ST9	UNITED ST9	1997	106222795
-UNITED ST5	UNITED ST4	1997	103432927
-UNITED ST7	UNITED ST1	1997	101326940
-UNITED ST5	UNITED ST9	1997	97392640
-UNITED ST8	UNITED ST0	1997	89434845
-UNITED ST1	UNITED ST3	1997	85175638
-UNITED ST4	UNITED ST1	1997	84611188
-UNITED ST4	UNITED ST7	1997	84606996
-UNITED ST1	UNITED ST4	1997	83092569
-UNITED ST0	UNITED ST1	1997	80167139
-UNITED ST4	UNITED ST9	1997	79697927
-UNITED ST1	UNITED ST0	1997	77667866
-UNITED ST2	UNITED ST0	1997	77591470
-UNITED ST1	UNITED ST7	1997	77045722
-UNITED ST2	UNITED ST7	1997	76483802
-UNITED ST1	UNITED ST1	1997	76340444
-UNITED ST0	UNITED ST7	1997	72577490
-UNITED ST4	UNITED ST0	1997	69875804
-UNITED ST6	UNITED ST3	1997	69725506
-UNITED ST2	UNITED ST9	1997	69543984
-UNITED ST7	UNITED ST0	1997	69354312
-UNITED ST9	UNITED ST7	1997	69052630
-UNITED ST8	UNITED ST3	1997	66918394
-UNITED ST0	UNITED ST0	1997	66308516
-UNITED ST9	UNITED ST0	1997	66066791
-UNITED ST2	UNITED ST3	1997	65429453
-UNITED ST2	UNITED ST1	1997	65396135
-UNITED ST4	UNITED ST4	1997	62532346
-UNITED ST9	UNITED ST1	1997	62418406
-UNITED ST3	UNITED ST7	1997	61095300
-UNITED ST7	UNITED ST4	1997	60123494
-UNITED ST4	UNITED ST3	1997	59634153
-UNITED ST3	UNITED ST4	1997	58356141
-UNITED ST6	UNITED ST9	1997	58231263
-UNITED ST6	UNITED ST4	1997	57215022
-UNITED ST2	UNITED ST4	1997	57012611
-UNITED ST5	UNITED ST3	1997	56789932
-UNITED ST9	UNITED ST5	1997	56091920
-UNITED ST6	UNITED ST0	1997	55824919
-UNITED ST6	UNITED ST1	1997	55117709
-UNITED ST7	UNITED ST9	1997	55039970
-UNITED ST5	UNITED ST7	1997	54534315
-UNITED ST3	UNITED ST1	1997	54150683
-UNITED ST3	UNITED ST0	1997	54050172
-UNITED ST3	UNITED ST9	1997	51370308
-UNITED ST1	UNITED ST5	1997	51052110
-UNITED ST6	UNITED ST7	1997	49795849
-UNITED ST5	UNITED ST6	1997	49030016
-UNITED ST1	UNITED ST9	1997	48944111
-UNITED ST3	UNITED ST3	1997	48385233
-UNITED ST0	UNITED ST5	1997	47988418
-UNITED ST2	UNITED ST8	1997	46391909
-UNITED ST4	UNITED ST6	1997	46236849
-UNITED ST9	UNITED ST3	1997	46121724
-UNITED ST8	UNITED ST9	1997	45852796
-UNITED ST7	UNITED ST8	1997	45476266
-UNITED ST8	UNITED ST1	1997	43284139
-UNITED ST7	UNITED ST7	1997	42566603
-UNITED ST0	UNITED ST4	1997	41193803
-UNITED ST8	UNITED ST7	1997	40878429
-UNITED ST8	UNITED ST8	1997	40749400
-UNITED ST2	UNITED ST5	1997	40662886
-UNITED ST0	UNITED ST3	1997	40078508
-UNITED ST6	UNITED ST8	1997	37988445
-UNITED ST9	UNITED ST6	1997	37596882
-UNITED ST6	UNITED ST5	1997	37571788
-UNITED ST2	UNITED ST2	1997	37034333
-UNITED ST7	UNITED ST5	1997	36889736
-UNITED ST8	UNITED ST4	1997	36600584
-UNITED ST3	UNITED ST6	1997	36075844
-UNITED ST7	UNITED ST3	1997	35168922
-UNITED ST2	UNITED ST6	1997	34274467
-UNITED ST5	UNITED ST8	1997	32910946
-UNITED ST3	UNITED ST5	1997	32811963
-UNITED ST4	UNITED ST8	1997	32599736
-UNITED ST5	UNITED ST5	1997	32568888
-UNITED ST4	UNITED ST5	1997	31995868
-UNITED ST9	UNITED ST4	1997	31765478
-UNITED ST7	UNITED ST2	1997	31409590
-UNITED ST9	UNITED ST8	1997	31272385
-UNITED ST0	UNITED ST8	1997	30241370
-UNITED ST3	UNITED ST8	1997	29102220
-UNITED ST7	UNITED ST6	1997	27539931
-UNITED ST8	UNITED ST5	1997	26673743
-UNITED ST6	UNITED ST6	1997	24983291
-UNITED ST0	UNITED ST2	1997	23584229
-UNITED ST0	UNITED ST6	1997	22924046
-UNITED ST1	UNITED ST2	1997	20599130
-UNITED ST8	UNITED ST6	1997	20073000
-UNITED ST1	UNITED ST6	1997	18205326
-UNITED ST1	UNITED ST8	1997	15375258
-UNITED ST6	UNITED ST2	1997	14746680
-UNITED ST5	UNITED ST2	1997	13863438
-UNITED ST8	UNITED ST2	1997	12053706
-UNITED ST3	UNITED ST2	1997	7891878
-UNITED ST4	UNITED ST2	1997	2848157
-UNITED ST9	UNITED ST2	1997	2661652
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.3.out
deleted file mode 100644
index 7a8708105d..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.3.out
+++ /dev/null
@@ -1,27 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q3.3 --
-UNITED KI1	UNITED KI1	1992	46735995
-UNITED KI5	UNITED KI1	1992	36277055
-UNITED KI5	UNITED KI5	1992	25355267
-UNITED KI1	UNITED KI5	1992	21917846
-UNITED KI5	UNITED KI1	1993	61017607
-UNITED KI1	UNITED KI1	1993	45669535
-UNITED KI5	UNITED KI5	1993	34099392
-UNITED KI1	UNITED KI5	1993	21444206
-UNITED KI5	UNITED KI1	1994	36282163
-UNITED KI1	UNITED KI1	1994	34868441
-UNITED KI5	UNITED KI5	1994	34507284
-UNITED KI1	UNITED KI5	1994	21221780
-UNITED KI5	UNITED KI1	1995	82955896
-UNITED KI1	UNITED KI1	1995	35881186
-UNITED KI5	UNITED KI5	1995	20539805
-UNITED KI1	UNITED KI5	1995	17176510
-UNITED KI5	UNITED KI1	1996	65767049
-UNITED KI1	UNITED KI1	1996	59923037
-UNITED KI5	UNITED KI5	1996	46077342
-UNITED KI1	UNITED KI5	1996	13700254
-UNITED KI1	UNITED KI1	1997	70343133
-UNITED KI5	UNITED KI1	1997	64978359
-UNITED KI5	UNITED KI5	1997	27332027
-UNITED KI1	UNITED KI5	1997	16410668
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.4.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.4.out
deleted file mode 100644
index f46fd55119..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q3.4.out
+++ /dev/null
@@ -1,6 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q3.4 --
-UNITED KI5	UNITED KI1	1997	9117846
-UNITED KI5	UNITED KI5	1997	6203801
-UNITED KI1	UNITED KI5	1997	1870070
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q4.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q4.1.out
deleted file mode 100644
index 9e75049042..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q4.1.out
+++ /dev/null
@@ -1,38 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q4.1 --
-1992	ARGENTINA	9658964469
-1992	BRAZIL	9226983055
-1992	CANADA	9643176787
-1992	PERU	9410676597
-1992	UNITED STATES	9849427653
-1993	ARGENTINA	9976332853
-1993	BRAZIL	9468799229
-1993	CANADA	9897302420
-1993	PERU	9309445836
-1993	UNITED STATES	10003985086
-1994	ARGENTINA	9940305215
-1994	BRAZIL	9348651677
-1994	CANADA	9582647596
-1994	PERU	9295265013
-1994	UNITED STATES	9519880425
-1995	ARGENTINA	10143841380
-1995	BRAZIL	9156077350
-1995	CANADA	9562612160
-1995	PERU	9778087211
-1995	UNITED STATES	9310565244
-1996	ARGENTINA	10001927895
-1996	BRAZIL	9168485151
-1996	CANADA	10061604203
-1996	PERU	9355135674
-1996	UNITED STATES	9769712174
-1997	ARGENTINA	9854560261
-1997	BRAZIL	9121571047
-1997	CANADA	10097371778
-1997	PERU	9315525917
-1997	UNITED STATES	10506723879
-1998	ARGENTINA	5834240407
-1998	BRAZIL	5356398095
-1998	CANADA	5423211196
-1998	PERU	5726185970
-1998	UNITED STATES	6009462019
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q4.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q4.2.out
deleted file mode 100644
index 65b6d696df..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q4.2.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q4.2 --
-1997	ARGENTINA	MFGR#11	907071566
-1997	ARGENTINA	MFGR#12	924115562
-1997	ARGENTINA	MFGR#13	972861821
-1997	ARGENTINA	MFGR#14	975410345
-1997	ARGENTINA	MFGR#15	938867375
-1997	ARGENTINA	MFGR#21	1014782574
-1997	ARGENTINA	MFGR#22	873016783
-1997	ARGENTINA	MFGR#23	1030357302
-1997	ARGENTINA	MFGR#24	893460579
-1997	ARGENTINA	MFGR#25	1006311403
-1997	BRAZIL	MFGR#11	1073219328
-1997	BRAZIL	MFGR#12	989858833
-1997	BRAZIL	MFGR#13	1128480379
-1997	BRAZIL	MFGR#14	1194256722
-1997	BRAZIL	MFGR#15	1094419124
-1997	BRAZIL	MFGR#21	910026832
-1997	BRAZIL	MFGR#22	993142048
-1997	BRAZIL	MFGR#23	1107672874
-1997	BRAZIL	MFGR#24	1058013649
-1997	BRAZIL	MFGR#25	994733764
-1997	CANADA	MFGR#11	854725020
-1997	CANADA	MFGR#12	938718164
-1997	CANADA	MFGR#13	959265890
-1997	CANADA	MFGR#14	1002812450
-1997	CANADA	MFGR#15	848183013
-1997	CANADA	MFGR#21	999805272
-1997	CANADA	MFGR#22	778419763
-1997	CANADA	MFGR#23	928359645
-1997	CANADA	MFGR#24	849895128
-1997	CANADA	MFGR#25	904587965
-1997	PERU	MFGR#11	1100242877
-1997	PERU	MFGR#12	994365350
-1997	PERU	MFGR#13	847486105
-1997	PERU	MFGR#14	947769683
-1997	PERU	MFGR#15	999395678
-1997	PERU	MFGR#21	867923394
-1997	PERU	MFGR#22	988747459
-1997	PERU	MFGR#23	1066645086
-1997	PERU	MFGR#24	935665725
-1997	PERU	MFGR#25	981454129
-1997	UNITED STATES	MFGR#11	1046706048
-1997	UNITED STATES	MFGR#12	909213709
-1997	UNITED STATES	MFGR#13	1096278906
-1997	UNITED STATES	MFGR#14	934282111
-1997	UNITED STATES	MFGR#15	962760843
-1997	UNITED STATES	MFGR#21	1000676474
-1997	UNITED STATES	MFGR#22	1076947615
-1997	UNITED STATES	MFGR#23	937288102
-1997	UNITED STATES	MFGR#24	1003386363
-1997	UNITED STATES	MFGR#25	1053666052
-1998	ARGENTINA	MFGR#11	567612227
-1998	ARGENTINA	MFGR#12	527025042
-1998	ARGENTINA	MFGR#13	582791792
-1998	ARGENTINA	MFGR#14	523726368
-1998	ARGENTINA	MFGR#15	522078267
-1998	ARGENTINA	MFGR#21	504712685
-1998	ARGENTINA	MFGR#22	506061736
-1998	ARGENTINA	MFGR#23	560479801
-1998	ARGENTINA	MFGR#24	524579118
-1998	ARGENTINA	MFGR#25	547840211
-1998	BRAZIL	MFGR#11	638578488
-1998	BRAZIL	MFGR#12	646312681
-1998	BRAZIL	MFGR#13	655161772
-1998	BRAZIL	MFGR#14	552676170
-1998	BRAZIL	MFGR#15	663812709
-1998	BRAZIL	MFGR#21	668822448
-1998	BRAZIL	MFGR#22	591791918
-1998	BRAZIL	MFGR#23	690648877
-1998	BRAZIL	MFGR#24	562362220
-1998	BRAZIL	MFGR#25	704182376
-1998	CANADA	MFGR#11	509086125
-1998	CANADA	MFGR#12	488089772
-1998	CANADA	MFGR#13	486533297
-1998	CANADA	MFGR#14	527837227
-1998	CANADA	MFGR#15	535869299
-1998	CANADA	MFGR#21	455868651
-1998	CANADA	MFGR#22	594277308
-1998	CANADA	MFGR#23	574125070
-1998	CANADA	MFGR#24	508530424
-1998	CANADA	MFGR#25	547757992
-1998	PERU	MFGR#11	567838547
-1998	PERU	MFGR#12	540544757
-1998	PERU	MFGR#13	591331883
-1998	PERU	MFGR#14	481335064
-1998	PERU	MFGR#15	570246138
-1998	PERU	MFGR#21	533733330
-1998	PERU	MFGR#22	527790656
-1998	PERU	MFGR#23	636393221
-1998	PERU	MFGR#24	589075262
-1998	PERU	MFGR#25	543251115
-1998	UNITED STATES	MFGR#11	556276232
-1998	UNITED STATES	MFGR#12	612385982
-1998	UNITED STATES	MFGR#13	622413927
-1998	UNITED STATES	MFGR#14	555006887
-1998	UNITED STATES	MFGR#15	525119569
-1998	UNITED STATES	MFGR#21	563406836
-1998	UNITED STATES	MFGR#22	580478735
-1998	UNITED STATES	MFGR#23	656080465
-1998	UNITED STATES	MFGR#24	538445058
-1998	UNITED STATES	MFGR#25	589111952
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q4.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q4.3.out
deleted file mode 100644
index 16b854fc0a..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/flat_q4.3.out
+++ /dev/null
@@ -1,697 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !flat_q4.3 --
-1997	UNITED ST0	MFGR#141	15456288
-1997	UNITED ST0	MFGR#1410	32961113
-1997	UNITED ST0	MFGR#1411	36166400
-1997	UNITED ST0	MFGR#1412	18237451
-1997	UNITED ST0	MFGR#1413	40752813
-1997	UNITED ST0	MFGR#1414	24237588
-1997	UNITED ST0	MFGR#1415	6419001
-1997	UNITED ST0	MFGR#1416	15639876
-1997	UNITED ST0	MFGR#1417	15476211
-1997	UNITED ST0	MFGR#1418	8169956
-1997	UNITED ST0	MFGR#1419	18217252
-1997	UNITED ST0	MFGR#142	29361222
-1997	UNITED ST0	MFGR#1420	34587603
-1997	UNITED ST0	MFGR#1421	28560921
-1997	UNITED ST0	MFGR#1422	25154181
-1997	UNITED ST0	MFGR#1423	18144008
-1997	UNITED ST0	MFGR#1424	28064267
-1997	UNITED ST0	MFGR#1425	15255845
-1997	UNITED ST0	MFGR#1426	5610353
-1997	UNITED ST0	MFGR#1427	5750693
-1997	UNITED ST0	MFGR#1428	14081707
-1997	UNITED ST0	MFGR#1429	9024512
-1997	UNITED ST0	MFGR#143	5325193
-1997	UNITED ST0	MFGR#1430	16961739
-1997	UNITED ST0	MFGR#1431	19015253
-1997	UNITED ST0	MFGR#1432	6324917
-1997	UNITED ST0	MFGR#1433	6734461
-1997	UNITED ST0	MFGR#1434	19206393
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-1997	UNITED ST0	MFGR#1436	13834012
-1997	UNITED ST0	MFGR#1437	23575407
-1997	UNITED ST0	MFGR#1438	24756074
-1997	UNITED ST0	MFGR#1439	19644072
-1997	UNITED ST0	MFGR#144	20285157
-1997	UNITED ST0	MFGR#1440	14068558
-1997	UNITED ST0	MFGR#145	22646138
-1997	UNITED ST0	MFGR#146	16381159
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-1997	UNITED ST0	MFGR#148	30968614
-1997	UNITED ST0	MFGR#149	8640669
-1997	UNITED ST1	MFGR#141	10152087
-1997	UNITED ST1	MFGR#1410	32583300
-1997	UNITED ST1	MFGR#1411	15690352
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-1997	UNITED ST1	MFGR#1413	4942775
-1997	UNITED ST1	MFGR#1414	9391597
-1997	UNITED ST1	MFGR#1415	26937296
-1997	UNITED ST1	MFGR#1416	25782871
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-1997	UNITED ST1	MFGR#1418	10934620
-1997	UNITED ST1	MFGR#1419	22673030
-1997	UNITED ST1	MFGR#142	14048276
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-1997	UNITED ST1	MFGR#1421	25405678
-1997	UNITED ST1	MFGR#1423	5713800
-1997	UNITED ST1	MFGR#1424	4131923
-1997	UNITED ST1	MFGR#1425	17190425
-1997	UNITED ST1	MFGR#1426	22314044
-1997	UNITED ST1	MFGR#1427	13635057
-1997	UNITED ST1	MFGR#1428	17735811
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-1997	UNITED ST1	MFGR#1430	18655292
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-1997	UNITED ST1	MFGR#1433	28997266
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-1997	UNITED ST1	MFGR#1436	17409665
-1997	UNITED ST1	MFGR#1437	33391635
-1997	UNITED ST1	MFGR#1438	37321134
-1997	UNITED ST1	MFGR#1439	10279941
-1997	UNITED ST1	MFGR#144	12304723
-1997	UNITED ST1	MFGR#1440	28921230
-1997	UNITED ST1	MFGR#145	17933684
-1997	UNITED ST1	MFGR#146	8709103
-1997	UNITED ST1	MFGR#147	20145983
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-1997	UNITED ST1	MFGR#149	10284949
-1997	UNITED ST2	MFGR#1412	6328240
-1997	UNITED ST2	MFGR#1415	5022682
-1997	UNITED ST2	MFGR#1416	4102214
-1997	UNITED ST2	MFGR#1417	5284444
-1997	UNITED ST2	MFGR#1418	2649908
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-1997	UNITED ST2	MFGR#142	10784835
-1997	UNITED ST2	MFGR#1423	4095190
-1997	UNITED ST2	MFGR#1424	5376355
-1997	UNITED ST2	MFGR#1425	3949957
-1997	UNITED ST2	MFGR#143	2859829
-1997	UNITED ST2	MFGR#1430	4618266
-1997	UNITED ST2	MFGR#1432	5183060
-1997	UNITED ST2	MFGR#1433	10531371
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-1997	UNITED ST2	MFGR#1436	6538508
-1997	UNITED ST2	MFGR#1438	12324747
-1997	UNITED ST2	MFGR#144	2002870
-1997	UNITED ST2	MFGR#1440	12247229
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-1997	UNITED ST2	MFGR#148	5998932
-1997	UNITED ST3	MFGR#141	12866083
-1997	UNITED ST3	MFGR#1410	31051703
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-1997	UNITED ST3	MFGR#1412	4970551
-1997	UNITED ST3	MFGR#1413	26129762
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-1997	UNITED ST3	MFGR#1416	25289630
-1997	UNITED ST3	MFGR#1417	5524810
-1997	UNITED ST3	MFGR#1419	3616608
-1997	UNITED ST3	MFGR#142	10776059
-1997	UNITED ST3	MFGR#1420	12958851
-1997	UNITED ST3	MFGR#1421	5815494
-1997	UNITED ST3	MFGR#1422	17694270
-1997	UNITED ST3	MFGR#1423	10285142
-1997	UNITED ST3	MFGR#1424	21555317
-1997	UNITED ST3	MFGR#1425	5214517
-1997	UNITED ST3	MFGR#1426	16810700
-1997	UNITED ST3	MFGR#1427	10086430
-1997	UNITED ST3	MFGR#1428	7733716
-1997	UNITED ST3	MFGR#1429	11922430
-1997	UNITED ST3	MFGR#1430	20105292
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-1997	UNITED ST3	MFGR#1432	15779247
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-1997	UNITED ST3	MFGR#1435	25486899
-1997	UNITED ST3	MFGR#1436	12739448
-1997	UNITED ST3	MFGR#1437	11249180
-1997	UNITED ST3	MFGR#1438	4156824
-1997	UNITED ST3	MFGR#1439	18358277
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-1997	UNITED ST3	MFGR#1440	22920494
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-1997	UNITED ST4	MFGR#1413	22581282
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-1997	UNITED ST4	MFGR#1415	8877444
-1997	UNITED ST4	MFGR#1416	17943398
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-1997	UNITED ST4	MFGR#1419	683069
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-1997	UNITED ST4	MFGR#1420	27954262
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-1997	UNITED ST4	MFGR#1423	20410710
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-1997	UNITED ST4	MFGR#1426	18678819
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-1997	UNITED ST4	MFGR#1428	18153974
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-1997	UNITED ST5	MFGR#1417	11786246
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-1997	UNITED ST6	MFGR#1412	4332646
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-1998	UNITED ST0	MFGR#141	12484786
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-1998	UNITED ST3	MFGR#1423	12825743
-1998	UNITED ST3	MFGR#1424	3533518
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-1998	UNITED ST5	MFGR#1429	9429868
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-1998	UNITED ST5	MFGR#1430	7977654
-1998	UNITED ST5	MFGR#1431	5545969
-1998	UNITED ST5	MFGR#1432	1803434
-1998	UNITED ST5	MFGR#1435	12957056
-1998	UNITED ST5	MFGR#1436	20666755
-1998	UNITED ST5	MFGR#1437	9536733
-1998	UNITED ST5	MFGR#1439	11784214
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-1998	UNITED ST6	MFGR#1427	6481679
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-1998	UNITED ST6	MFGR#143	6500459
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-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.1.out
deleted file mode 100644
index cb863fc708..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.1.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q1.1 --
-446031203850
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.2.out
deleted file mode 100644
index 21859bf276..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.2.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q1.2 --
-98714004603
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.3.out
deleted file mode 100644
index 839050959b..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q1.3 --
-26110729246
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.1.out
deleted file mode 100644
index a66900ad36..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.1.out
+++ /dev/null
@@ -1,283 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q2.1 --
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-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.2.out
deleted file mode 100644
index cea3bf7899..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.2.out
+++ /dev/null
@@ -1,59 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q2.2 --
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-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.3.out
deleted file mode 100644
index a77ae7f268..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.3.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q2.3 --
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-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.1.out
deleted file mode 100644
index 358a54fe37..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.1.out
+++ /dev/null
@@ -1,153 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q3.1 --
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diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.2.out
deleted file mode 100644
index 1ccf05e5fe..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.2.out
+++ /dev/null
@@ -1,602 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q3.2 --
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diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.3.out
deleted file mode 100644
index 639da52ecb..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.3.out
+++ /dev/null
@@ -1,27 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q3.3 --
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diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.4.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.4.out
deleted file mode 100644
index 08cd78f122..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.4.out
+++ /dev/null
@@ -1,6 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q3.4 --
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-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.1.out
deleted file mode 100644
index 14a9b5c11d..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.1.out
+++ /dev/null
@@ -1,38 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q4.1 --
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diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.2.out
deleted file mode 100644
index 70ee68f098..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.2.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q4.2 --
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diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.3.out
deleted file mode 100644
index 8dce560e35..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.3.out
+++ /dev/null
@@ -1,697 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_flat_q4.3 --
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-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q1.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q1.1.out
deleted file mode 100644
index 9eae7c5c22..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q1.1.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q1.1 --
-446031203850
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q1.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q1.2.out
deleted file mode 100644
index 4a864aaf7c..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q1.2.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q1.2 --
-98714004603
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q1.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q1.3.out
deleted file mode 100644
index 9b3c4f8c58..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q1.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q1.3 --
-26232701005
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q2.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q2.1.out
deleted file mode 100644
index 938377f880..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q2.1.out
+++ /dev/null
@@ -1,283 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q2.1 --
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-580327635	1993	MFGR#1231
-697373098	1993	MFGR#1232
-515571416	1993	MFGR#1233
-651935758	1993	MFGR#1234
-575779480	1993	MFGR#1235
-591878667	1993	MFGR#1236
-609618576	1993	MFGR#1237
-444614010	1993	MFGR#1238
-595256327	1993	MFGR#1239
-660586237	1993	MFGR#124
-788730059	1993	MFGR#1240
-616224539	1993	MFGR#125
-617126754	1993	MFGR#126
-654438324	1993	MFGR#127
-731657001	1993	MFGR#128
-548048395	1993	MFGR#129
-564405648	1994	MFGR#121
-645404849	1994	MFGR#1210
-631620635	1994	MFGR#1211
-568332348	1994	MFGR#1212
-678785857	1994	MFGR#1213
-534002330	1994	MFGR#1214
-654400242	1994	MFGR#1215
-558646341	1994	MFGR#1216
-687845641	1994	MFGR#1217
-546674347	1994	MFGR#1218
-567272942	1994	MFGR#1219
-659884062	1994	MFGR#122
-562582172	1994	MFGR#1220
-598618997	1994	MFGR#1221
-601016441	1994	MFGR#1222
-555134404	1994	MFGR#1223
-737422302	1994	MFGR#1224
-570745955	1994	MFGR#1225
-746302245	1994	MFGR#1226
-651707481	1994	MFGR#1227
-573693547	1994	MFGR#1228
-647918373	1994	MFGR#1229
-580449592	1994	MFGR#123
-493270412	1994	MFGR#1230
-603546148	1994	MFGR#1231
-719865331	1994	MFGR#1232
-638982238	1994	MFGR#1233
-743247677	1994	MFGR#1234
-598680959	1994	MFGR#1235
-615726097	1994	MFGR#1236
-542569815	1994	MFGR#1237
-573510781	1994	MFGR#1238
-579855853	1994	MFGR#1239
-684573322	1994	MFGR#124
-873735737	1994	MFGR#1240
-560488304	1994	MFGR#125
-657036514	1994	MFGR#126
-622571183	1994	MFGR#127
-586845664	1994	MFGR#128
-534541525	1994	MFGR#129
-706469511	1995	MFGR#121
-602892803	1995	MFGR#1210
-645166092	1995	MFGR#1211
-613289283	1995	MFGR#1212
-599586479	1995	MFGR#1213
-562570804	1995	MFGR#1214
-672528755	1995	MFGR#1215
-669000972	1995	MFGR#1216
-725362449	1995	MFGR#1217
-657026635	1995	MFGR#1218
-519659003	1995	MFGR#1219
-724727741	1995	MFGR#122
-517956131	1995	MFGR#1220
-635741351	1995	MFGR#1221
-564368410	1995	MFGR#1222
-600665149	1995	MFGR#1223
-762700351	1995	MFGR#1224
-671669586	1995	MFGR#1225
-572568748	1995	MFGR#1226
-530361300	1995	MFGR#1227
-633357085	1995	MFGR#1228
-547960244	1995	MFGR#1229
-660711077	1995	MFGR#123
-602735858	1995	MFGR#1230
-499852146	1995	MFGR#1231
-715300753	1995	MFGR#1232
-557149571	1995	MFGR#1233
-710023059	1995	MFGR#1234
-622425239	1995	MFGR#1235
-634565501	1995	MFGR#1236
-572847270	1995	MFGR#1237
-549318912	1995	MFGR#1238
-593851712	1995	MFGR#1239
-585421815	1995	MFGR#124
-707207888	1995	MFGR#1240
-538246872	1995	MFGR#125
-605799021	1995	MFGR#126
-665978112	1995	MFGR#127
-646960956	1995	MFGR#128
-508749401	1995	MFGR#129
-523879145	1996	MFGR#121
-643645053	1996	MFGR#1210
-595065339	1996	MFGR#1211
-674626440	1996	MFGR#1212
-496297087	1996	MFGR#1213
-583249505	1996	MFGR#1214
-702184857	1996	MFGR#1215
-601809334	1996	MFGR#1216
-704898387	1996	MFGR#1217
-528843086	1996	MFGR#1218
-586246330	1996	MFGR#1219
-712110492	1996	MFGR#122
-518444215	1996	MFGR#1220
-499319414	1996	MFGR#1221
-679469356	1996	MFGR#1222
-628762754	1996	MFGR#1223
-724844856	1996	MFGR#1224
-660620587	1996	MFGR#1225
-667674729	1996	MFGR#1226
-483838085	1996	MFGR#1227
-609855391	1996	MFGR#1228
-658959557	1996	MFGR#1229
-566217852	1996	MFGR#123
-528879998	1996	MFGR#1230
-589481194	1996	MFGR#1231
-702805896	1996	MFGR#1232
-663679947	1996	MFGR#1233
-571149450	1996	MFGR#1234
-478648074	1996	MFGR#1235
-568249365	1996	MFGR#1236
-592616167	1996	MFGR#1237
-466676148	1996	MFGR#1238
-670693719	1996	MFGR#1239
-560667719	1996	MFGR#124
-821167950	1996	MFGR#1240
-476864333	1996	MFGR#125
-558030884	1996	MFGR#126
-635873891	1996	MFGR#127
-551010618	1996	MFGR#128
-560570630	1996	MFGR#129
-587013207	1997	MFGR#121
-616287892	1997	MFGR#1210
-548588761	1997	MFGR#1211
-589593892	1997	MFGR#1212
-424306670	1997	MFGR#1213
-511971910	1997	MFGR#1214
-631772246	1997	MFGR#1215
-692135140	1997	MFGR#1216
-777994957	1997	MFGR#1217
-707053720	1997	MFGR#1218
-561169527	1997	MFGR#1219
-664916245	1997	MFGR#122
-594466157	1997	MFGR#1220
-588848171	1997	MFGR#1221
-528988960	1997	MFGR#1222
-537098211	1997	MFGR#1223
-674763166	1997	MFGR#1224
-450402292	1997	MFGR#1225
-701360722	1997	MFGR#1226
-506011570	1997	MFGR#1227
-585578737	1997	MFGR#1228
-622744016	1997	MFGR#1229
-646503168	1997	MFGR#123
-571800941	1997	MFGR#1230
-502601790	1997	MFGR#1231
-677924656	1997	MFGR#1232
-534455976	1997	MFGR#1233
-714934715	1997	MFGR#1234
-767151420	1997	MFGR#1235
-618877179	1997	MFGR#1236
-639638057	1997	MFGR#1237
-401953419	1997	MFGR#1238
-610756714	1997	MFGR#1239
-543248087	1997	MFGR#124
-675132692	1997	MFGR#1240
-479099365	1997	MFGR#125
-570696568	1997	MFGR#126
-583074592	1997	MFGR#127
-695133104	1997	MFGR#128
-655638776	1997	MFGR#129
-344575925	1998	MFGR#121
-417152416	1998	MFGR#1210
-317068168	1998	MFGR#1211
-374341516	1998	MFGR#1212
-332740903	1998	MFGR#1213
-304873002	1998	MFGR#1214
-366101132	1998	MFGR#1215
-379133898	1998	MFGR#1216
-359508497	1998	MFGR#1217
-320623334	1998	MFGR#1218
-346182862	1998	MFGR#1219
-312440027	1998	MFGR#122
-348123961	1998	MFGR#1220
-339845398	1998	MFGR#1221
-355416161	1998	MFGR#1222
-344889822	1998	MFGR#1223
-396906691	1998	MFGR#1224
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-358466340	1998	MFGR#1227
-251549955	1998	MFGR#1228
-383138860	1998	MFGR#1229
-296330561	1998	MFGR#123
-437181243	1998	MFGR#1230
-398944492	1998	MFGR#1231
-424062455	1998	MFGR#1232
-406967188	1998	MFGR#1233
-428867240	1998	MFGR#1234
-352277781	1998	MFGR#1235
-361827086	1998	MFGR#1236
-341618569	1998	MFGR#1237
-244739231	1998	MFGR#1238
-414151803	1998	MFGR#1239
-330082371	1998	MFGR#124
-415312453	1998	MFGR#1240
-360289624	1998	MFGR#125
-341657580	1998	MFGR#126
-377507061	1998	MFGR#127
-361416497	1998	MFGR#128
-318769573	1998	MFGR#129
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q2.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q2.2.out
deleted file mode 100644
index 90d96db81c..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q2.2.out
+++ /dev/null
@@ -1,59 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q2.2 --
-709524929	1992	MFGR#2221
-783846394	1992	MFGR#2222
-765052002	1992	MFGR#2223
-651488962	1992	MFGR#2224
-646528589	1992	MFGR#2225
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-745556316	1992	MFGR#2227
-756901875	1992	MFGR#2228
-766521103	1993	MFGR#2221
-691475597	1993	MFGR#2222
-758220752	1993	MFGR#2223
-669662707	1993	MFGR#2224
-773854228	1993	MFGR#2225
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-781967766	1993	MFGR#2227
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-685777518	1994	MFGR#2221
-666524807	1994	MFGR#2222
-733993590	1994	MFGR#2223
-707869040	1994	MFGR#2224
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-720837128	1994	MFGR#2227
-826225350	1994	MFGR#2228
-775437074	1995	MFGR#2221
-761354792	1995	MFGR#2222
-637832575	1995	MFGR#2223
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-708290039	1995	MFGR#2225
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-802502540	1995	MFGR#2227
-895936786	1995	MFGR#2228
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-656095314	1996	MFGR#2223
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-728857899	1997	MFGR#2227
-775312985	1997	MFGR#2228
-335304504	1998	MFGR#2221
-409347137	1998	MFGR#2222
-459109577	1998	MFGR#2223
-413318072	1998	MFGR#2224
-410402095	1998	MFGR#2225
-453515044	1998	MFGR#2226
-390506405	1998	MFGR#2227
-397939103	1998	MFGR#2228
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q2.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q2.3.out
deleted file mode 100644
index 38af28c738..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q2.3.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q2.3 --
-726427486	1992	MFGR#2239
-705238959	1993	MFGR#2239
-664145134	1994	MFGR#2239
-713839336	1995	MFGR#2239
-728492865	1996	MFGR#2239
-733896532	1997	MFGR#2239
-380255731	1998	MFGR#2239
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.1.out
deleted file mode 100644
index 1d1e30d8d6..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.1.out
+++ /dev/null
@@ -1,153 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q3.1 --
-INDONESIA	INDONESIA	1992	6905698988
-CHINA	INDONESIA	1992	6616078869
-CHINA	CHINA	1992	6456431477
-VIETNAM	INDONESIA	1992	6340181707
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-VIETNAM	VIETNAM	1992	5111731778
-INDONESIA	INDONESIA	1993	6931363262
-INDONESIA	CHINA	1993	6612891249
-CHINA	INDONESIA	1993	6581513366
-VIETNAM	INDONESIA	1993	6511639352
-CHINA	CHINA	1993	6444513787
-CHINA	INDIA	1993	6421694121
-VIETNAM	CHINA	1993	6413579999
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-INDIA	CHINA	1993	6209353792
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-INDONESIA	JAPAN	1993	6147605249
-JAPAN	INDONESIA	1993	6053946313
-INDIA	JAPAN	1993	5995208985
-CHINA	VIETNAM	1993	5885023228
-VIETNAM	JAPAN	1993	5874266867
-INDONESIA	VIETNAM	1993	5840287722
-JAPAN	INDIA	1993	5823343157
-INDIA	INDIA	1993	5571575799
-VIETNAM	VIETNAM	1993	5554161183
-JAPAN	JAPAN	1993	5430318583
-JAPAN	VIETNAM	1993	5406569653
-INDIA	VIETNAM	1993	5233871487
-VIETNAM	CHINA	1994	6709883442
-CHINA	CHINA	1994	6648942965
-INDONESIA	CHINA	1994	6483600910
-CHINA	JAPAN	1994	6349037021
-VIETNAM	INDONESIA	1994	6347441931
-JAPAN	CHINA	1994	6320009218
-INDONESIA	INDONESIA	1994	6315331086
-CHINA	INDIA	1994	6297582811
-CHINA	INDONESIA	1994	6234787896
-VIETNAM	JAPAN	1994	6231973047
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-INDIA	INDONESIA	1994	6168189859
-INDONESIA	JAPAN	1994	6141195969
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-CHINA	VIETNAM	1994	5885318733
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-INDIA	INDIA	1994	5584936515
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-INDIA	JAPAN	1994	5394134974
-JAPAN	VIETNAM	1994	5275821637
-INDIA	VIETNAM	1994	5251039815
-CHINA	INDONESIA	1995	7074539444
-INDONESIA	CHINA	1995	6928620620
-CHINA	CHINA	1995	6624666612
-JAPAN	CHINA	1995	6519889385
-VIETNAM	CHINA	1995	6332731268
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-VIETNAM	INDIA	1995	6198441957
-INDONESIA	INDIA	1995	6173805183
-VIETNAM	INDONESIA	1995	6057820148
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-INDONESIA	JAPAN	1995	6019093871
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-INDIA	INDONESIA	1995	5975518597
-JAPAN	JAPAN	1995	5952279129
-JAPAN	INDONESIA	1995	5947000735
-VIETNAM	VIETNAM	1995	5754727607
-JAPAN	INDIA	1995	5730743126
-INDONESIA	VIETNAM	1995	5574974066
-INDIA	INDIA	1995	5565995550
-JAPAN	VIETNAM	1995	5501313775
-CHINA	VIETNAM	1995	5489936063
-INDIA	JAPAN	1995	5469203427
-INDIA	VIETNAM	1995	5207063284
-INDONESIA	INDONESIA	1996	6750056283
-CHINA	INDONESIA	1996	6657125075
-INDONESIA	CHINA	1996	6613439112
-CHINA	CHINA	1996	6591697915
-VIETNAM	CHINA	1996	6428653890
-VIETNAM	INDONESIA	1996	6295626732
-JAPAN	INDONESIA	1996	6227447856
-INDIA	CHINA	1996	6198567819
-INDIA	INDONESIA	1996	6189242058
-CHINA	INDIA	1996	6153787365
-INDONESIA	INDIA	1996	6138810863
-CHINA	JAPAN	1996	6105566324
-JAPAN	CHINA	1996	6088985564
-INDONESIA	JAPAN	1996	6055638222
-VIETNAM	JAPAN	1996	5919997150
-VIETNAM	VIETNAM	1996	5860842302
-INDIA	JAPAN	1996	5841664805
-VIETNAM	INDIA	1996	5807486983
-JAPAN	INDIA	1996	5644579616
-JAPAN	JAPAN	1996	5566204795
-INDIA	INDIA	1996	5532073103
-INDONESIA	VIETNAM	1996	5438514387
-CHINA	VIETNAM	1996	5434772818
-JAPAN	VIETNAM	1996	5334277549
-INDIA	VIETNAM	1996	5293891531
-CHINA	INDONESIA	1997	6653234696
-INDONESIA	CHINA	1997	6577396314
-CHINA	CHINA	1997	6463794795
-JAPAN	INDONESIA	1997	6429270126
-INDONESIA	INDONESIA	1997	6398427821
-VIETNAM	INDONESIA	1997	6363583120
-CHINA	JAPAN	1997	6284733518
-VIETNAM	CHINA	1997	6164218723
-INDIA	CHINA	1997	6153282214
-CHINA	INDIA	1997	6084283983
-INDONESIA	JAPAN	1997	6001427956
-INDIA	INDONESIA	1997	5983439300
-JAPAN	CHINA	1997	5973849687
-CHINA	VIETNAM	1997	5908254176
-JAPAN	INDIA	1997	5796921992
-JAPAN	JAPAN	1997	5790450039
-INDONESIA	INDIA	1997	5789367105
-VIETNAM	INDIA	1997	5730121608
-INDIA	INDIA	1997	5693028907
-VIETNAM	JAPAN	1997	5689345230
-INDONESIA	VIETNAM	1997	5665678132
-VIETNAM	VIETNAM	1997	5620251324
-INDIA	JAPAN	1997	5587827913
-JAPAN	VIETNAM	1997	5249874614
-INDIA	VIETNAM	1997	5003624837
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.2.out
deleted file mode 100644
index f0a54630de..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.2.out
+++ /dev/null
@@ -1,602 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q3.2 --
-UNITED ST4	UNITED ST1	1992	102027455
-UNITED ST1	UNITED ST0	1992	96989491
-UNITED ST7	UNITED ST0	1992	96078010
-UNITED ST9	UNITED ST0	1992	94813294
-UNITED ST4	UNITED ST0	1992	94644242
-UNITED ST2	UNITED ST4	1992	91180500
-UNITED ST5	UNITED ST0	1992	90432300
-UNITED ST6	UNITED ST7	1992	87658267
-UNITED ST3	UNITED ST9	1992	86142048
-UNITED ST6	UNITED ST5	1992	85882966
-UNITED ST7	UNITED ST3	1992	83765666
-UNITED ST2	UNITED ST9	1992	83705618
-UNITED ST4	UNITED ST6	1992	81886374
-UNITED ST2	UNITED ST1	1992	81839165
-UNITED ST9	UNITED ST1	1992	80795302
-UNITED ST6	UNITED ST3	1992	78778218
-UNITED ST6	UNITED ST0	1992	78696956
-UNITED ST0	UNITED ST1	1992	77267396
-UNITED ST0	UNITED ST0	1992	75622122
-UNITED ST1	UNITED ST9	1992	75367059
-UNITED ST3	UNITED ST1	1992	73637490
-UNITED ST2	UNITED ST0	1992	72210218
-UNITED ST1	UNITED ST7	1992	71472973
-UNITED ST6	UNITED ST4	1992	71086944
-UNITED ST4	UNITED ST4	1992	70111335
-UNITED ST6	UNITED ST1	1992	69408688
-UNITED ST4	UNITED ST3	1992	69001787
-UNITED ST5	UNITED ST7	1992	68333651
-UNITED ST4	UNITED ST9	1992	67837970
-UNITED ST7	UNITED ST6	1992	65513205
-UNITED ST4	UNITED ST5	1992	65057872
-UNITED ST7	UNITED ST4	1992	64900888
-UNITED ST1	UNITED ST1	1992	64669070
-UNITED ST3	UNITED ST5	1992	64239048
-UNITED ST0	UNITED ST9	1992	63979996
-UNITED ST3	UNITED ST4	1992	63144772
-UNITED ST5	UNITED ST6	1992	62628093
-UNITED ST4	UNITED ST7	1992	62529376
-UNITED ST3	UNITED ST0	1992	62441656
-UNITED ST9	UNITED ST4	1992	61489513
-UNITED ST8	UNITED ST6	1992	60540440
-UNITED ST7	UNITED ST9	1992	60326042
-UNITED ST7	UNITED ST7	1992	60121386
-UNITED ST5	UNITED ST1	1992	59945287
-UNITED ST5	UNITED ST4	1992	57625627
-UNITED ST7	UNITED ST5	1992	57566802
-UNITED ST2	UNITED ST5	1992	57021365
-UNITED ST9	UNITED ST7	1992	56883359
-UNITED ST0	UNITED ST3	1992	56359317
-UNITED ST1	UNITED ST3	1992	55727474
-UNITED ST5	UNITED ST3	1992	53963553
-UNITED ST0	UNITED ST7	1992	50583409
-UNITED ST5	UNITED ST9	1992	50191091
-UNITED ST7	UNITED ST1	1992	50167208
-UNITED ST0	UNITED ST8	1992	49732640
-UNITED ST0	UNITED ST4	1992	49676807
-UNITED ST9	UNITED ST3	1992	47681165
-UNITED ST8	UNITED ST4	1992	46757019
-UNITED ST3	UNITED ST3	1992	45087216
-UNITED ST8	UNITED ST0	1992	44368839
-UNITED ST0	UNITED ST6	1992	42471806
-UNITED ST6	UNITED ST8	1992	42463690
-UNITED ST8	UNITED ST7	1992	41897901
-UNITED ST3	UNITED ST8	1992	41275764
-UNITED ST6	UNITED ST9	1992	40591721
-UNITED ST0	UNITED ST5	1992	40120886
-UNITED ST1	UNITED ST4	1992	39326346
-UNITED ST3	UNITED ST7	1992	39028579
-UNITED ST3	UNITED ST6	1992	38798715
-UNITED ST9	UNITED ST9	1992	36048343
-UNITED ST2	UNITED ST8	1992	36046449
-UNITED ST2	UNITED ST3	1992	35981963
-UNITED ST8	UNITED ST1	1992	35680752
-UNITED ST1	UNITED ST6	1992	35404990
-UNITED ST8	UNITED ST5	1992	35187610
-UNITED ST1	UNITED ST5	1992	33971251
-UNITED ST5	UNITED ST8	1992	33878053
-UNITED ST2	UNITED ST7	1992	33702779
-UNITED ST8	UNITED ST3	1992	30949324
-UNITED ST8	UNITED ST8	1992	29309108
-UNITED ST5	UNITED ST5	1992	29279568
-UNITED ST1	UNITED ST8	1992	28565579
-UNITED ST9	UNITED ST5	1992	28075004
-UNITED ST2	UNITED ST6	1992	27813739
-UNITED ST0	UNITED ST2	1992	27718733
-UNITED ST2	UNITED ST2	1992	25743654
-UNITED ST8	UNITED ST9	1992	22684471
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-UNITED ST9	UNITED ST8	1992	21386100
-UNITED ST5	UNITED ST2	1992	20495817
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-UNITED ST9	UNITED ST6	1992	15879568
-UNITED ST4	UNITED ST2	1992	12061845
-UNITED ST7	UNITED ST8	1992	11895702
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-UNITED ST9	UNITED ST2	1992	11623177
-UNITED ST8	UNITED ST2	1992	10971561
-UNITED ST1	UNITED ST2	1992	7706728
-UNITED ST7	UNITED ST2	1992	4943204
-UNITED ST3	UNITED ST2	1992	1097208
-UNITED ST0	UNITED ST9	1993	109834040
-UNITED ST7	UNITED ST0	1993	109788024
-UNITED ST5	UNITED ST0	1993	106822597
-UNITED ST0	UNITED ST0	1993	106742548
-UNITED ST1	UNITED ST0	1993	99305952
-UNITED ST4	UNITED ST4	1993	98150465
-UNITED ST3	UNITED ST4	1993	92493920
-UNITED ST0	UNITED ST1	1993	91196593
-UNITED ST4	UNITED ST1	1993	88521423
-UNITED ST8	UNITED ST0	1993	88356371
-UNITED ST4	UNITED ST7	1993	88172198
-UNITED ST4	UNITED ST0	1993	86918458
-UNITED ST6	UNITED ST3	1993	83417161
-UNITED ST6	UNITED ST1	1993	83345939
-UNITED ST7	UNITED ST9	1993	80310701
-UNITED ST3	UNITED ST1	1993	78230278
-UNITED ST6	UNITED ST7	1993	78197294
-UNITED ST5	UNITED ST9	1993	76286539
-UNITED ST0	UNITED ST3	1993	76171283
-UNITED ST5	UNITED ST8	1993	74359279
-UNITED ST9	UNITED ST1	1993	74059419
-UNITED ST4	UNITED ST9	1993	73296959
-UNITED ST5	UNITED ST1	1993	71454623
-UNITED ST6	UNITED ST4	1993	69646913
-UNITED ST2	UNITED ST1	1993	69631701
-UNITED ST6	UNITED ST0	1993	68247539
-UNITED ST7	UNITED ST7	1993	68109820
-UNITED ST2	UNITED ST3	1993	66972438
-UNITED ST3	UNITED ST0	1993	66626926
-UNITED ST9	UNITED ST7	1993	66625483
-UNITED ST1	UNITED ST8	1993	66146198
-UNITED ST2	UNITED ST7	1993	64185014
-UNITED ST5	UNITED ST4	1993	63415639
-UNITED ST9	UNITED ST9	1993	63260763
-UNITED ST1	UNITED ST4	1993	62884347
-UNITED ST7	UNITED ST4	1993	61656613
-UNITED ST3	UNITED ST6	1993	58584808
-UNITED ST2	UNITED ST4	1993	56650391
-UNITED ST3	UNITED ST5	1993	55907305
-UNITED ST6	UNITED ST9	1993	54900942
-UNITED ST1	UNITED ST7	1993	54851183
-UNITED ST3	UNITED ST9	1993	54762596
-UNITED ST8	UNITED ST6	1993	54633062
-UNITED ST8	UNITED ST3	1993	54049874
-UNITED ST5	UNITED ST7	1993	52745538
-UNITED ST0	UNITED ST5	1993	52701052
-UNITED ST1	UNITED ST9	1993	52514902
-UNITED ST8	UNITED ST5	1993	52237837
-UNITED ST1	UNITED ST3	1993	52097946
-UNITED ST8	UNITED ST4	1993	51419356
-UNITED ST0	UNITED ST6	1993	50432282
-UNITED ST5	UNITED ST5	1993	50357189
-UNITED ST3	UNITED ST7	1993	50135448
-UNITED ST0	UNITED ST4	1993	49260067
-UNITED ST0	UNITED ST7	1993	48796360
-UNITED ST2	UNITED ST9	1993	48188507
-UNITED ST1	UNITED ST1	1993	47538610
-UNITED ST9	UNITED ST3	1993	46943647
-UNITED ST7	UNITED ST5	1993	44763692
-UNITED ST1	UNITED ST6	1993	44728540
-UNITED ST8	UNITED ST1	1993	44415434
-UNITED ST7	UNITED ST8	1993	43902628
-UNITED ST9	UNITED ST6	1993	43867160
-UNITED ST2	UNITED ST0	1993	42845485
-UNITED ST3	UNITED ST8	1993	42251848
-UNITED ST0	UNITED ST8	1993	42002682
-UNITED ST4	UNITED ST8	1993	41657582
-UNITED ST1	UNITED ST5	1993	40693513
-UNITED ST9	UNITED ST5	1993	39685269
-UNITED ST7	UNITED ST3	1993	39523861
-UNITED ST8	UNITED ST8	1993	38790235
-UNITED ST8	UNITED ST9	1993	38516361
-UNITED ST2	UNITED ST5	1993	37406845
-UNITED ST9	UNITED ST8	1993	37184696
-UNITED ST8	UNITED ST7	1993	36902218
-UNITED ST6	UNITED ST8	1993	36456741
-UNITED ST7	UNITED ST1	1993	34391159
-UNITED ST6	UNITED ST5	1993	34229082
-UNITED ST5	UNITED ST3	1993	34031811
-UNITED ST2	UNITED ST8	1993	33445446
-UNITED ST4	UNITED ST3	1993	33129412
-UNITED ST6	UNITED ST6	1993	33050663
-UNITED ST9	UNITED ST0	1993	32653305
-UNITED ST4	UNITED ST6	1993	30699255
-UNITED ST9	UNITED ST4	1993	30644687
-UNITED ST4	UNITED ST5	1993	29119594
-UNITED ST7	UNITED ST6	1993	27100502
-UNITED ST4	UNITED ST2	1993	27012678
-UNITED ST2	UNITED ST6	1993	26482226
-UNITED ST5	UNITED ST6	1993	25357679
-UNITED ST3	UNITED ST3	1993	21777144
-UNITED ST3	UNITED ST2	1993	21559073
-UNITED ST5	UNITED ST2	1993	20610242
-UNITED ST7	UNITED ST2	1993	20219304
-UNITED ST6	UNITED ST2	1993	18814367
-UNITED ST9	UNITED ST2	1993	17718390
-UNITED ST1	UNITED ST2	1993	16844538
-UNITED ST0	UNITED ST2	1993	15042145
-UNITED ST2	UNITED ST2	1993	14521995
-UNITED ST8	UNITED ST2	1993	9984366
-UNITED ST8	UNITED ST0	1994	99220789
-UNITED ST3	UNITED ST9	1994	97476185
-UNITED ST6	UNITED ST1	1994	96937147
-UNITED ST6	UNITED ST9	1994	94683309
-UNITED ST9	UNITED ST1	1994	90440948
-UNITED ST0	UNITED ST9	1994	89865202
-UNITED ST5	UNITED ST7	1994	89089961
-UNITED ST9	UNITED ST0	1994	87670573
-UNITED ST3	UNITED ST1	1994	85523653
-UNITED ST4	UNITED ST9	1994	83822393
-UNITED ST0	UNITED ST0	1994	83526877
-UNITED ST7	UNITED ST0	1994	82265536
-UNITED ST2	UNITED ST1	1994	81300089
-UNITED ST5	UNITED ST0	1994	78648057
-UNITED ST4	UNITED ST7	1994	76954140
-UNITED ST4	UNITED ST4	1994	76837381
-UNITED ST0	UNITED ST1	1994	76613379
-UNITED ST1	UNITED ST3	1994	75992459
-UNITED ST7	UNITED ST1	1994	75320799
-UNITED ST4	UNITED ST0	1994	73719340
-UNITED ST5	UNITED ST1	1994	73508418
-UNITED ST4	UNITED ST1	1994	72219557
-UNITED ST2	UNITED ST9	1994	69671054
-UNITED ST6	UNITED ST5	1994	66461534
-UNITED ST2	UNITED ST3	1994	65620760
-UNITED ST3	UNITED ST0	1994	65522727
-UNITED ST5	UNITED ST3	1994	65334911
-UNITED ST7	UNITED ST4	1994	64778715
-UNITED ST3	UNITED ST4	1994	63412365
-UNITED ST8	UNITED ST4	1994	62141681
-UNITED ST0	UNITED ST4	1994	61519744
-UNITED ST0	UNITED ST7	1994	61480820
-UNITED ST0	UNITED ST6	1994	61288778
-UNITED ST2	UNITED ST0	1994	60182153
-UNITED ST6	UNITED ST4	1994	59829989
-UNITED ST4	UNITED ST5	1994	59397028
-UNITED ST8	UNITED ST9	1994	58666906
-UNITED ST4	UNITED ST6	1994	58633482
-UNITED ST5	UNITED ST5	1994	56235213
-UNITED ST6	UNITED ST3	1994	56123238
-UNITED ST2	UNITED ST4	1994	55679377
-UNITED ST8	UNITED ST3	1994	55203841
-UNITED ST1	UNITED ST1	1994	54383174
-UNITED ST1	UNITED ST7	1994	53853106
-UNITED ST6	UNITED ST0	1994	53728853
-UNITED ST5	UNITED ST9	1994	53367331
-UNITED ST9	UNITED ST9	1994	51980849
-UNITED ST5	UNITED ST4	1994	51799593
-UNITED ST7	UNITED ST9	1994	50144085
-UNITED ST7	UNITED ST7	1994	46446442
-UNITED ST6	UNITED ST6	1994	46199722
-UNITED ST7	UNITED ST5	1994	45895364
-UNITED ST3	UNITED ST3	1994	45627153
-UNITED ST8	UNITED ST5	1994	44553056
-UNITED ST9	UNITED ST4	1994	43910761
-UNITED ST1	UNITED ST0	1994	43225201
-UNITED ST1	UNITED ST9	1994	43000037
-UNITED ST7	UNITED ST8	1994	42776467
-UNITED ST0	UNITED ST5	1994	41808301
-UNITED ST2	UNITED ST6	1994	41526105
-UNITED ST1	UNITED ST4	1994	41381558
-UNITED ST3	UNITED ST7	1994	40935131
-UNITED ST8	UNITED ST1	1994	40152096
-UNITED ST9	UNITED ST8	1994	39278808
-UNITED ST5	UNITED ST6	1994	38658451
-UNITED ST2	UNITED ST5	1994	37640317
-UNITED ST8	UNITED ST7	1994	37600687
-UNITED ST9	UNITED ST5	1994	37146726
-UNITED ST6	UNITED ST7	1994	37057808
-UNITED ST8	UNITED ST6	1994	36776569
-UNITED ST3	UNITED ST6	1994	36290257
-UNITED ST9	UNITED ST3	1994	35846500
-UNITED ST2	UNITED ST8	1994	33767774
-UNITED ST0	UNITED ST8	1994	31845433
-UNITED ST4	UNITED ST3	1994	31599433
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-UNITED ST1	UNITED ST6	1994	31287326
-UNITED ST1	UNITED ST8	1994	30245153
-UNITED ST7	UNITED ST3	1994	29424840
-UNITED ST9	UNITED ST6	1994	29212927
-UNITED ST0	UNITED ST3	1994	27327829
-UNITED ST6	UNITED ST8	1994	26592996
-UNITED ST3	UNITED ST5	1994	26197875
-UNITED ST6	UNITED ST2	1994	25809000
-UNITED ST1	UNITED ST5	1994	24939138
-UNITED ST7	UNITED ST6	1994	24631937
-UNITED ST1	UNITED ST2	1994	23556586
-UNITED ST4	UNITED ST2	1994	23035892
-UNITED ST2	UNITED ST7	1994	22182758
-UNITED ST0	UNITED ST2	1994	22017954
-UNITED ST4	UNITED ST8	1994	20685352
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-UNITED ST5	UNITED ST8	1994	18931891
-UNITED ST2	UNITED ST2	1994	18068657
-UNITED ST3	UNITED ST8	1994	15936051
-UNITED ST8	UNITED ST8	1994	10023412
-UNITED ST3	UNITED ST2	1994	9995234
-UNITED ST9	UNITED ST2	1994	9700989
-UNITED ST5	UNITED ST2	1994	7162796
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-UNITED ST5	UNITED ST1	1995	119793669
-UNITED ST4	UNITED ST9	1995	99490068
-UNITED ST7	UNITED ST0	1995	98031295
-UNITED ST6	UNITED ST0	1995	91718471
-UNITED ST4	UNITED ST1	1995	90878653
-UNITED ST0	UNITED ST1	1995	90763599
-UNITED ST8	UNITED ST9	1995	88855089
-UNITED ST7	UNITED ST7	1995	86571624
-UNITED ST3	UNITED ST0	1995	84462733
-UNITED ST9	UNITED ST1	1995	82938967
-UNITED ST2	UNITED ST4	1995	82432305
-UNITED ST1	UNITED ST0	1995	81676623
-UNITED ST5	UNITED ST4	1995	81016761
-UNITED ST7	UNITED ST1	1995	79964362
-UNITED ST5	UNITED ST3	1995	78099130
-UNITED ST5	UNITED ST0	1995	77615746
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-UNITED ST1	UNITED ST9	1995	72470870
-UNITED ST4	UNITED ST7	1995	69264407
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-UNITED ST2	UNITED ST9	1995	65055178
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-UNITED ST3	UNITED ST1	1995	64762815
-UNITED ST1	UNITED ST1	1995	64199332
-UNITED ST6	UNITED ST9	1995	63457105
-UNITED ST0	UNITED ST9	1995	63253499
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-UNITED ST4	UNITED ST5	1995	62081505
-UNITED ST1	UNITED ST7	1995	61515741
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-UNITED ST8	UNITED ST6	1995	58990404
-UNITED ST1	UNITED ST4	1995	57535599
-UNITED ST0	UNITED ST3	1995	56360708
-UNITED ST8	UNITED ST0	1995	55231664
-UNITED ST5	UNITED ST7	1995	53740759
-UNITED ST2	UNITED ST0	1995	52560838
-UNITED ST3	UNITED ST7	1995	51579548
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-UNITED ST6	UNITED ST6	1995	50954677
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-UNITED ST3	UNITED ST3	1995	48158089
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-UNITED ST4	UNITED ST0	1995	46142899
-UNITED ST1	UNITED ST3	1995	45823056
-UNITED ST2	UNITED ST1	1995	45437340
-UNITED ST6	UNITED ST5	1995	45428152
-UNITED ST8	UNITED ST5	1995	44994863
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-UNITED ST9	UNITED ST6	1995	43482494
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-UNITED ST0	UNITED ST6	1995	40718942
-UNITED ST3	UNITED ST5	1995	40057815
-UNITED ST7	UNITED ST5	1995	39015293
-UNITED ST0	UNITED ST0	1995	38984502
-UNITED ST6	UNITED ST1	1995	38328352
-UNITED ST4	UNITED ST6	1995	38109524
-UNITED ST3	UNITED ST9	1995	37364623
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-UNITED ST2	UNITED ST6	1995	37146288
-UNITED ST9	UNITED ST5	1995	36009924
-UNITED ST1	UNITED ST8	1995	34918793
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-UNITED ST0	UNITED ST7	1995	33395313
-UNITED ST1	UNITED ST5	1995	31857452
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-UNITED ST3	UNITED ST6	1995	16738530
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-UNITED ST3	UNITED ST2	1995	12886829
-UNITED ST9	UNITED ST2	1995	12653362
-UNITED ST0	UNITED ST5	1995	11453709
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-UNITED ST8	UNITED ST8	1995	11285867
-UNITED ST1	UNITED ST2	1995	7991676
-UNITED ST0	UNITED ST2	1995	4776460
-UNITED ST7	UNITED ST2	1995	3973565
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-UNITED ST5	UNITED ST0	1996	104501979
-UNITED ST0	UNITED ST4	1996	103228749
-UNITED ST9	UNITED ST1	1996	101983827
-UNITED ST1	UNITED ST0	1996	94861554
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-UNITED ST2	UNITED ST1	1996	88256155
-UNITED ST1	UNITED ST1	1996	87265848
-UNITED ST4	UNITED ST7	1996	83677814
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-UNITED ST2	UNITED ST7	1996	80468477
-UNITED ST8	UNITED ST1	1996	78971756
-UNITED ST7	UNITED ST4	1996	77941011
-UNITED ST1	UNITED ST3	1996	77610905
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-UNITED ST7	UNITED ST0	1996	75602445
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-UNITED ST4	UNITED ST1	1996	72819867
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-UNITED ST8	UNITED ST0	1996	39845427
-UNITED ST8	UNITED ST3	1996	39535940
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-UNITED ST7	UNITED ST9	1996	25028091
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-UNITED ST3	UNITED ST2	1996	4311800
-UNITED ST5	UNITED ST0	1997	121457766
-UNITED ST0	UNITED ST9	1997	119856268
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-UNITED ST5	UNITED ST9	1997	97392640
-UNITED ST8	UNITED ST0	1997	89434845
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-UNITED ST4	UNITED ST9	1997	79697927
-UNITED ST1	UNITED ST0	1997	77667866
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-UNITED ST5	UNITED ST7	1997	54534315
-UNITED ST3	UNITED ST1	1997	54150683
-UNITED ST3	UNITED ST0	1997	54050172
-UNITED ST3	UNITED ST9	1997	51370308
-UNITED ST1	UNITED ST5	1997	51052110
-UNITED ST6	UNITED ST7	1997	49795849
-UNITED ST5	UNITED ST6	1997	49030016
-UNITED ST1	UNITED ST9	1997	48944111
-UNITED ST3	UNITED ST3	1997	48385233
-UNITED ST0	UNITED ST5	1997	47988418
-UNITED ST2	UNITED ST8	1997	46391909
-UNITED ST4	UNITED ST6	1997	46236849
-UNITED ST9	UNITED ST3	1997	46121724
-UNITED ST8	UNITED ST9	1997	45852796
-UNITED ST7	UNITED ST8	1997	45476266
-UNITED ST8	UNITED ST1	1997	43284139
-UNITED ST7	UNITED ST7	1997	42566603
-UNITED ST0	UNITED ST4	1997	41193803
-UNITED ST8	UNITED ST7	1997	40878429
-UNITED ST8	UNITED ST8	1997	40749400
-UNITED ST2	UNITED ST5	1997	40662886
-UNITED ST0	UNITED ST3	1997	40078508
-UNITED ST6	UNITED ST8	1997	37988445
-UNITED ST9	UNITED ST6	1997	37596882
-UNITED ST6	UNITED ST5	1997	37571788
-UNITED ST2	UNITED ST2	1997	37034333
-UNITED ST7	UNITED ST5	1997	36889736
-UNITED ST8	UNITED ST4	1997	36600584
-UNITED ST3	UNITED ST6	1997	36075844
-UNITED ST7	UNITED ST3	1997	35168922
-UNITED ST2	UNITED ST6	1997	34274467
-UNITED ST5	UNITED ST8	1997	32910946
-UNITED ST3	UNITED ST5	1997	32811963
-UNITED ST4	UNITED ST8	1997	32599736
-UNITED ST5	UNITED ST5	1997	32568888
-UNITED ST4	UNITED ST5	1997	31995868
-UNITED ST9	UNITED ST4	1997	31765478
-UNITED ST7	UNITED ST2	1997	31409590
-UNITED ST9	UNITED ST8	1997	31272385
-UNITED ST0	UNITED ST8	1997	30241370
-UNITED ST3	UNITED ST8	1997	29102220
-UNITED ST7	UNITED ST6	1997	27539931
-UNITED ST8	UNITED ST5	1997	26673743
-UNITED ST6	UNITED ST6	1997	24983291
-UNITED ST0	UNITED ST2	1997	23584229
-UNITED ST0	UNITED ST6	1997	22924046
-UNITED ST1	UNITED ST2	1997	20599130
-UNITED ST8	UNITED ST6	1997	20073000
-UNITED ST1	UNITED ST6	1997	18205326
-UNITED ST1	UNITED ST8	1997	15375258
-UNITED ST6	UNITED ST2	1997	14746680
-UNITED ST5	UNITED ST2	1997	13863438
-UNITED ST8	UNITED ST2	1997	12053706
-UNITED ST3	UNITED ST2	1997	7891878
-UNITED ST4	UNITED ST2	1997	2848157
-UNITED ST9	UNITED ST2	1997	2661652
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.3.out
deleted file mode 100644
index cc0692d380..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.3.out
+++ /dev/null
@@ -1,27 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q3.3 --
-UNITED KI1	UNITED KI1	1992	46735995
-UNITED KI5	UNITED KI1	1992	36277055
-UNITED KI5	UNITED KI5	1992	25355267
-UNITED KI1	UNITED KI5	1992	21917846
-UNITED KI5	UNITED KI1	1993	61017607
-UNITED KI1	UNITED KI1	1993	45669535
-UNITED KI5	UNITED KI5	1993	34099392
-UNITED KI1	UNITED KI5	1993	21444206
-UNITED KI5	UNITED KI1	1994	36282163
-UNITED KI1	UNITED KI1	1994	34868441
-UNITED KI5	UNITED KI5	1994	34507284
-UNITED KI1	UNITED KI5	1994	21221780
-UNITED KI5	UNITED KI1	1995	82955896
-UNITED KI1	UNITED KI1	1995	35881186
-UNITED KI5	UNITED KI5	1995	20539805
-UNITED KI1	UNITED KI5	1995	17176510
-UNITED KI5	UNITED KI1	1996	65767049
-UNITED KI1	UNITED KI1	1996	59923037
-UNITED KI5	UNITED KI5	1996	46077342
-UNITED KI1	UNITED KI5	1996	13700254
-UNITED KI1	UNITED KI1	1997	70343133
-UNITED KI5	UNITED KI1	1997	64978359
-UNITED KI5	UNITED KI5	1997	27332027
-UNITED KI1	UNITED KI5	1997	16410668
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.4.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.4.out
deleted file mode 100644
index 48fab66861..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q3.4.out
+++ /dev/null
@@ -1,6 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q3.4 --
-UNITED KI5	UNITED KI1	1997	9117846
-UNITED KI5	UNITED KI5	1997	6203801
-UNITED KI1	UNITED KI5	1997	1870070
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q4.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q4.1.out
deleted file mode 100644
index 2070a69d09..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q4.1.out
+++ /dev/null
@@ -1,38 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q4.1 --
-1992	ARGENTINA	9658964469
-1992	BRAZIL	9226983055
-1992	CANADA	9643176787
-1992	PERU	9410676597
-1992	UNITED STATES	9849427653
-1993	ARGENTINA	9976332853
-1993	BRAZIL	9468799229
-1993	CANADA	9897302420
-1993	PERU	9309445836
-1993	UNITED STATES	10003985086
-1994	ARGENTINA	9940305215
-1994	BRAZIL	9348651677
-1994	CANADA	9582647596
-1994	PERU	9295265013
-1994	UNITED STATES	9519880425
-1995	ARGENTINA	10143841380
-1995	BRAZIL	9156077350
-1995	CANADA	9562612160
-1995	PERU	9778087211
-1995	UNITED STATES	9310565244
-1996	ARGENTINA	10001927895
-1996	BRAZIL	9168485151
-1996	CANADA	10061604203
-1996	PERU	9355135674
-1996	UNITED STATES	9769712174
-1997	ARGENTINA	9854560261
-1997	BRAZIL	9121571047
-1997	CANADA	10097371778
-1997	PERU	9315525917
-1997	UNITED STATES	10506723879
-1998	ARGENTINA	5834240407
-1998	BRAZIL	5356398095
-1998	CANADA	5423211196
-1998	PERU	5726185970
-1998	UNITED STATES	6009462019
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q4.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q4.2.out
deleted file mode 100644
index c843926b8a..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q4.2.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q4.2 --
-1997	ARGENTINA	MFGR#11	907071566
-1997	ARGENTINA	MFGR#12	924115562
-1997	ARGENTINA	MFGR#13	972861821
-1997	ARGENTINA	MFGR#14	975410345
-1997	ARGENTINA	MFGR#15	938867375
-1997	ARGENTINA	MFGR#21	1014782574
-1997	ARGENTINA	MFGR#22	873016783
-1997	ARGENTINA	MFGR#23	1030357302
-1997	ARGENTINA	MFGR#24	893460579
-1997	ARGENTINA	MFGR#25	1006311403
-1997	BRAZIL	MFGR#11	1073219328
-1997	BRAZIL	MFGR#12	989858833
-1997	BRAZIL	MFGR#13	1128480379
-1997	BRAZIL	MFGR#14	1194256722
-1997	BRAZIL	MFGR#15	1094419124
-1997	BRAZIL	MFGR#21	910026832
-1997	BRAZIL	MFGR#22	993142048
-1997	BRAZIL	MFGR#23	1107672874
-1997	BRAZIL	MFGR#24	1058013649
-1997	BRAZIL	MFGR#25	994733764
-1997	CANADA	MFGR#11	854725020
-1997	CANADA	MFGR#12	938718164
-1997	CANADA	MFGR#13	959265890
-1997	CANADA	MFGR#14	1002812450
-1997	CANADA	MFGR#15	848183013
-1997	CANADA	MFGR#21	999805272
-1997	CANADA	MFGR#22	778419763
-1997	CANADA	MFGR#23	928359645
-1997	CANADA	MFGR#24	849895128
-1997	CANADA	MFGR#25	904587965
-1997	PERU	MFGR#11	1100242877
-1997	PERU	MFGR#12	994365350
-1997	PERU	MFGR#13	847486105
-1997	PERU	MFGR#14	947769683
-1997	PERU	MFGR#15	999395678
-1997	PERU	MFGR#21	867923394
-1997	PERU	MFGR#22	988747459
-1997	PERU	MFGR#23	1066645086
-1997	PERU	MFGR#24	935665725
-1997	PERU	MFGR#25	981454129
-1997	UNITED STATES	MFGR#11	1046706048
-1997	UNITED STATES	MFGR#12	909213709
-1997	UNITED STATES	MFGR#13	1096278906
-1997	UNITED STATES	MFGR#14	934282111
-1997	UNITED STATES	MFGR#15	962760843
-1997	UNITED STATES	MFGR#21	1000676474
-1997	UNITED STATES	MFGR#22	1076947615
-1997	UNITED STATES	MFGR#23	937288102
-1997	UNITED STATES	MFGR#24	1003386363
-1997	UNITED STATES	MFGR#25	1053666052
-1998	ARGENTINA	MFGR#11	567612227
-1998	ARGENTINA	MFGR#12	527025042
-1998	ARGENTINA	MFGR#13	582791792
-1998	ARGENTINA	MFGR#14	523726368
-1998	ARGENTINA	MFGR#15	522078267
-1998	ARGENTINA	MFGR#21	504712685
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-1998	ARGENTINA	MFGR#23	560479801
-1998	ARGENTINA	MFGR#24	524579118
-1998	ARGENTINA	MFGR#25	547840211
-1998	BRAZIL	MFGR#11	638578488
-1998	BRAZIL	MFGR#12	646312681
-1998	BRAZIL	MFGR#13	655161772
-1998	BRAZIL	MFGR#14	552676170
-1998	BRAZIL	MFGR#15	663812709
-1998	BRAZIL	MFGR#21	668822448
-1998	BRAZIL	MFGR#22	591791918
-1998	BRAZIL	MFGR#23	690648877
-1998	BRAZIL	MFGR#24	562362220
-1998	BRAZIL	MFGR#25	704182376
-1998	CANADA	MFGR#11	509086125
-1998	CANADA	MFGR#12	488089772
-1998	CANADA	MFGR#13	486533297
-1998	CANADA	MFGR#14	527837227
-1998	CANADA	MFGR#15	535869299
-1998	CANADA	MFGR#21	455868651
-1998	CANADA	MFGR#22	594277308
-1998	CANADA	MFGR#23	574125070
-1998	CANADA	MFGR#24	508530424
-1998	CANADA	MFGR#25	547757992
-1998	PERU	MFGR#11	567838547
-1998	PERU	MFGR#12	540544757
-1998	PERU	MFGR#13	591331883
-1998	PERU	MFGR#14	481335064
-1998	PERU	MFGR#15	570246138
-1998	PERU	MFGR#21	533733330
-1998	PERU	MFGR#22	527790656
-1998	PERU	MFGR#23	636393221
-1998	PERU	MFGR#24	589075262
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-1998	UNITED STATES	MFGR#11	556276232
-1998	UNITED STATES	MFGR#12	612385982
-1998	UNITED STATES	MFGR#13	622413927
-1998	UNITED STATES	MFGR#14	555006887
-1998	UNITED STATES	MFGR#15	525119569
-1998	UNITED STATES	MFGR#21	563406836
-1998	UNITED STATES	MFGR#22	580478735
-1998	UNITED STATES	MFGR#23	656080465
-1998	UNITED STATES	MFGR#24	538445058
-1998	UNITED STATES	MFGR#25	589111952
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q4.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q4.3.out
deleted file mode 100644
index e1803bf4aa..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/pipeline_q4.3.out
+++ /dev/null
@@ -1,697 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q4.3 --
-1997	UNITED ST0	MFGR#141	15456288
-1997	UNITED ST0	MFGR#1410	32961113
-1997	UNITED ST0	MFGR#1411	36166400
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-1997	UNITED ST0	MFGR#1414	24237588
-1997	UNITED ST0	MFGR#1415	6419001
-1997	UNITED ST0	MFGR#1416	15639876
-1997	UNITED ST0	MFGR#1417	15476211
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-1997	UNITED ST0	MFGR#1419	18217252
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-1997	UNITED ST0	MFGR#1420	34587603
-1997	UNITED ST0	MFGR#1421	28560921
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-1997	UNITED ST0	MFGR#1425	15255845
-1997	UNITED ST0	MFGR#1426	5610353
-1997	UNITED ST0	MFGR#1427	5750693
-1997	UNITED ST0	MFGR#1428	14081707
-1997	UNITED ST0	MFGR#1429	9024512
-1997	UNITED ST0	MFGR#143	5325193
-1997	UNITED ST0	MFGR#1430	16961739
-1997	UNITED ST0	MFGR#1431	19015253
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-1997	UNITED ST0	MFGR#1433	6734461
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-1997	UNITED ST0	MFGR#147	12267827
-1997	UNITED ST0	MFGR#148	30968614
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-1997	UNITED ST1	MFGR#141	10152087
-1997	UNITED ST1	MFGR#1410	32583300
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-1997	UNITED ST1	MFGR#1413	4942775
-1997	UNITED ST1	MFGR#1414	9391597
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-1997	UNITED ST1	MFGR#1416	25782871
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-1997	UNITED ST5	MFGR#1431	3425291
-1997	UNITED ST5	MFGR#1432	14630175
-1997	UNITED ST5	MFGR#1433	4967585
-1997	UNITED ST5	MFGR#1434	6716261
-1997	UNITED ST5	MFGR#1435	6290790
-1997	UNITED ST5	MFGR#1436	6787699
-1997	UNITED ST5	MFGR#1437	6045168
-1997	UNITED ST5	MFGR#1438	1082877
-1997	UNITED ST5	MFGR#1439	5268611
-1997	UNITED ST5	MFGR#144	8900840
-1997	UNITED ST5	MFGR#1440	2644336
-1997	UNITED ST5	MFGR#145	18054844
-1997	UNITED ST5	MFGR#146	4893668
-1997	UNITED ST5	MFGR#147	9615891
-1997	UNITED ST5	MFGR#148	1426124
-1997	UNITED ST5	MFGR#149	7320726
-1997	UNITED ST6	MFGR#141	10051337
-1997	UNITED ST6	MFGR#1410	23352963
-1997	UNITED ST6	MFGR#1411	1537303
-1997	UNITED ST6	MFGR#1412	4332646
-1997	UNITED ST6	MFGR#1413	14686752
-1997	UNITED ST6	MFGR#1414	7226409
-1997	UNITED ST6	MFGR#1415	15062686
-1997	UNITED ST6	MFGR#1416	8606480
-1997	UNITED ST6	MFGR#1417	7662761
-1997	UNITED ST6	MFGR#1418	1810860
-1997	UNITED ST6	MFGR#1419	20179568
-1997	UNITED ST6	MFGR#142	15506072
-1997	UNITED ST6	MFGR#1420	3844271
-1997	UNITED ST6	MFGR#1421	10608709
-1997	UNITED ST6	MFGR#1422	16083699
-1997	UNITED ST6	MFGR#1423	6789571
-1997	UNITED ST6	MFGR#1424	17631950
-1997	UNITED ST6	MFGR#1425	8477221
-1997	UNITED ST6	MFGR#1426	16847029
-1997	UNITED ST6	MFGR#1428	17314796
-1997	UNITED ST6	MFGR#1429	19175871
-1997	UNITED ST6	MFGR#143	8775848
-1997	UNITED ST6	MFGR#1431	5319063
-1997	UNITED ST6	MFGR#1432	7875606
-1997	UNITED ST6	MFGR#1433	9305264
-1997	UNITED ST6	MFGR#1434	8050404
-1997	UNITED ST6	MFGR#1435	17585836
-1997	UNITED ST6	MFGR#1436	13745758
-1997	UNITED ST6	MFGR#1438	14536324
-1997	UNITED ST6	MFGR#1439	11451329
-1997	UNITED ST6	MFGR#144	10794837
-1997	UNITED ST6	MFGR#1440	5719238
-1997	UNITED ST6	MFGR#145	25449058
-1997	UNITED ST6	MFGR#146	17821996
-1997	UNITED ST6	MFGR#147	18922333
-1997	UNITED ST6	MFGR#148	10825718
-1997	UNITED ST6	MFGR#149	14950868
-1997	UNITED ST7	MFGR#141	8291476
-1997	UNITED ST7	MFGR#1410	4622953
-1997	UNITED ST7	MFGR#1411	14885507
-1997	UNITED ST7	MFGR#1412	19011375
-1997	UNITED ST7	MFGR#1413	31178370
-1997	UNITED ST7	MFGR#1414	16429613
-1997	UNITED ST7	MFGR#1415	3091832
-1997	UNITED ST7	MFGR#1416	17008243
-1997	UNITED ST7	MFGR#1417	15609283
-1997	UNITED ST7	MFGR#1418	5059394
-1997	UNITED ST7	MFGR#1419	7234721
-1997	UNITED ST7	MFGR#142	6898938
-1997	UNITED ST7	MFGR#1420	6426590
-1997	UNITED ST7	MFGR#1421	6043221
-1997	UNITED ST7	MFGR#1422	13273021
-1997	UNITED ST7	MFGR#1423	30537249
-1997	UNITED ST7	MFGR#1424	9224296
-1997	UNITED ST7	MFGR#1425	12799069
-1997	UNITED ST7	MFGR#1426	30277891
-1997	UNITED ST7	MFGR#1427	8331493
-1997	UNITED ST7	MFGR#1428	16205423
-1997	UNITED ST7	MFGR#1429	14396627
-1997	UNITED ST7	MFGR#143	10209623
-1997	UNITED ST7	MFGR#1430	16556758
-1997	UNITED ST7	MFGR#1431	15775327
-1997	UNITED ST7	MFGR#1432	24602989
-1997	UNITED ST7	MFGR#1433	22927717
-1997	UNITED ST7	MFGR#1434	9486462
-1997	UNITED ST7	MFGR#1435	14254290
-1997	UNITED ST7	MFGR#1436	8645365
-1997	UNITED ST7	MFGR#1437	19026166
-1997	UNITED ST7	MFGR#1438	11291550
-1997	UNITED ST7	MFGR#1439	9590292
-1997	UNITED ST7	MFGR#144	14110404
-1997	UNITED ST7	MFGR#1440	21877355
-1997	UNITED ST7	MFGR#145	8246717
-1997	UNITED ST7	MFGR#146	9785781
-1997	UNITED ST7	MFGR#147	13412691
-1997	UNITED ST7	MFGR#148	14235939
-1997	UNITED ST7	MFGR#149	23450309
-1997	UNITED ST8	MFGR#141	7323416
-1997	UNITED ST8	MFGR#1410	7191961
-1997	UNITED ST8	MFGR#1411	2425849
-1997	UNITED ST8	MFGR#1412	26725641
-1997	UNITED ST8	MFGR#1413	7915896
-1997	UNITED ST8	MFGR#1414	14359044
-1997	UNITED ST8	MFGR#1415	15834927
-1997	UNITED ST8	MFGR#1416	7464470
-1997	UNITED ST8	MFGR#1417	15274496
-1997	UNITED ST8	MFGR#1418	3261391
-1997	UNITED ST8	MFGR#1419	8020386
-1997	UNITED ST8	MFGR#142	5985550
-1997	UNITED ST8	MFGR#1420	9441461
-1997	UNITED ST8	MFGR#1421	2998735
-1997	UNITED ST8	MFGR#1423	1565415
-1997	UNITED ST8	MFGR#1424	5613094
-1997	UNITED ST8	MFGR#1425	7186734
-1997	UNITED ST8	MFGR#1426	3153117
-1997	UNITED ST8	MFGR#1427	11303043
-1997	UNITED ST8	MFGR#1428	3564003
-1997	UNITED ST8	MFGR#143	6357477
-1997	UNITED ST8	MFGR#1430	6633950
-1997	UNITED ST8	MFGR#1431	867285
-1997	UNITED ST8	MFGR#1432	9962884
-1997	UNITED ST8	MFGR#1433	13708011
-1997	UNITED ST8	MFGR#1434	7357067
-1997	UNITED ST8	MFGR#1435	11993453
-1997	UNITED ST8	MFGR#1436	7231938
-1997	UNITED ST8	MFGR#1437	18632056
-1997	UNITED ST8	MFGR#1438	3609384
-1997	UNITED ST8	MFGR#144	4822734
-1997	UNITED ST8	MFGR#1440	2521917
-1997	UNITED ST8	MFGR#145	11683385
-1997	UNITED ST8	MFGR#146	3350415
-1997	UNITED ST8	MFGR#147	8425393
-1997	UNITED ST8	MFGR#148	15005341
-1997	UNITED ST8	MFGR#149	9018101
-1997	UNITED ST9	MFGR#141	21838850
-1997	UNITED ST9	MFGR#1410	8455387
-1997	UNITED ST9	MFGR#1411	27984689
-1997	UNITED ST9	MFGR#1412	26491401
-1997	UNITED ST9	MFGR#1413	30237705
-1997	UNITED ST9	MFGR#1414	8957476
-1997	UNITED ST9	MFGR#1415	35391583
-1997	UNITED ST9	MFGR#1416	8923782
-1997	UNITED ST9	MFGR#1417	3210984
-1997	UNITED ST9	MFGR#1418	12102607
-1997	UNITED ST9	MFGR#1419	14468627
-1997	UNITED ST9	MFGR#142	33363582
-1997	UNITED ST9	MFGR#1420	13139731
-1997	UNITED ST9	MFGR#1421	8410650
-1997	UNITED ST9	MFGR#1422	11268410
-1997	UNITED ST9	MFGR#1423	2846614
-1997	UNITED ST9	MFGR#1424	2305872
-1997	UNITED ST9	MFGR#1425	4896060
-1997	UNITED ST9	MFGR#1426	31544772
-1997	UNITED ST9	MFGR#1427	4113085
-1997	UNITED ST9	MFGR#1428	11137081
-1997	UNITED ST9	MFGR#1429	10633230
-1997	UNITED ST9	MFGR#143	11438203
-1997	UNITED ST9	MFGR#1430	2727389
-1997	UNITED ST9	MFGR#1431	10548538
-1997	UNITED ST9	MFGR#1433	26564495
-1997	UNITED ST9	MFGR#1434	11948206
-1997	UNITED ST9	MFGR#1435	2201909
-1997	UNITED ST9	MFGR#1436	10347631
-1997	UNITED ST9	MFGR#1437	40051690
-1997	UNITED ST9	MFGR#1438	2662945
-1997	UNITED ST9	MFGR#1439	18011455
-1997	UNITED ST9	MFGR#144	10202784
-1997	UNITED ST9	MFGR#1440	11123196
-1997	UNITED ST9	MFGR#145	11326624
-1997	UNITED ST9	MFGR#146	27825456
-1997	UNITED ST9	MFGR#147	17579502
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-1998	UNITED ST0	MFGR#141	12484786
-1998	UNITED ST0	MFGR#1410	5225999
-1998	UNITED ST0	MFGR#1411	2633395
-1998	UNITED ST0	MFGR#1412	9479536
-1998	UNITED ST0	MFGR#1413	18468711
-1998	UNITED ST0	MFGR#1414	19440601
-1998	UNITED ST0	MFGR#1415	16894643
-1998	UNITED ST0	MFGR#1416	7520117
-1998	UNITED ST0	MFGR#1417	464576
-1998	UNITED ST0	MFGR#1418	5171747
-1998	UNITED ST0	MFGR#1419	5970985
-1998	UNITED ST0	MFGR#142	23830409
-1998	UNITED ST0	MFGR#1420	2568835
-1998	UNITED ST0	MFGR#1421	6096442
-1998	UNITED ST0	MFGR#1422	10099456
-1998	UNITED ST0	MFGR#1423	24617746
-1998	UNITED ST0	MFGR#1424	22853888
-1998	UNITED ST0	MFGR#1425	25622112
-1998	UNITED ST0	MFGR#1426	9630701
-1998	UNITED ST0	MFGR#1427	4952625
-1998	UNITED ST0	MFGR#1428	4675471
-1998	UNITED ST0	MFGR#1429	19713527
-1998	UNITED ST0	MFGR#143	4971265
-1998	UNITED ST0	MFGR#1430	13948705
-1998	UNITED ST0	MFGR#1431	2955181
-1998	UNITED ST0	MFGR#1432	17946759
-1998	UNITED ST0	MFGR#1433	23325027
-1998	UNITED ST0	MFGR#1434	8580738
-1998	UNITED ST0	MFGR#1435	6663914
-1998	UNITED ST0	MFGR#1436	13468582
-1998	UNITED ST0	MFGR#1437	9419979
-1998	UNITED ST0	MFGR#1438	16164522
-1998	UNITED ST0	MFGR#1439	8692866
-1998	UNITED ST0	MFGR#144	17338711
-1998	UNITED ST0	MFGR#1440	8513736
-1998	UNITED ST0	MFGR#145	6212569
-1998	UNITED ST0	MFGR#146	2702349
-1998	UNITED ST0	MFGR#149	8844540
-1998	UNITED ST1	MFGR#141	13449110
-1998	UNITED ST1	MFGR#1410	5224626
-1998	UNITED ST1	MFGR#1411	16046399
-1998	UNITED ST1	MFGR#1412	8424392
-1998	UNITED ST1	MFGR#1413	7634982
-1998	UNITED ST1	MFGR#1414	8711782
-1998	UNITED ST1	MFGR#1415	5991201
-1998	UNITED ST1	MFGR#1416	11059645
-1998	UNITED ST1	MFGR#1417	8108087
-1998	UNITED ST1	MFGR#1418	1710875
-1998	UNITED ST1	MFGR#1419	452298
-1998	UNITED ST1	MFGR#142	6186526
-1998	UNITED ST1	MFGR#1421	4766963
-1998	UNITED ST1	MFGR#1422	5556563
-1998	UNITED ST1	MFGR#1423	12110257
-1998	UNITED ST1	MFGR#1424	8924948
-1998	UNITED ST1	MFGR#1425	5684710
-1998	UNITED ST1	MFGR#1426	6844444
-1998	UNITED ST1	MFGR#1427	7625525
-1998	UNITED ST1	MFGR#1428	5227395
-1998	UNITED ST1	MFGR#1429	2855272
-1998	UNITED ST1	MFGR#143	6964811
-1998	UNITED ST1	MFGR#1430	16952380
-1998	UNITED ST1	MFGR#1431	7655883
-1998	UNITED ST1	MFGR#1432	2975960
-1998	UNITED ST1	MFGR#1433	10175594
-1998	UNITED ST1	MFGR#1434	26358848
-1998	UNITED ST1	MFGR#1435	11408623
-1998	UNITED ST1	MFGR#1436	4438242
-1998	UNITED ST1	MFGR#1437	10014906
-1998	UNITED ST1	MFGR#1438	18817171
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-1998	UNITED ST1	MFGR#144	9512727
-1998	UNITED ST1	MFGR#1440	20185179
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-1998	UNITED ST1	MFGR#146	9358026
-1998	UNITED ST1	MFGR#147	6552312
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-1998	UNITED ST2	MFGR#1410	8044368
-1998	UNITED ST2	MFGR#1413	727343
-1998	UNITED ST2	MFGR#1414	251088
-1998	UNITED ST2	MFGR#1416	5224696
-1998	UNITED ST2	MFGR#1419	7917142
-1998	UNITED ST2	MFGR#1420	9848986
-1998	UNITED ST2	MFGR#1427	4816976
-1998	UNITED ST2	MFGR#1429	4196069
-1998	UNITED ST2	MFGR#143	10073044
-1998	UNITED ST2	MFGR#1431	877123
-1998	UNITED ST2	MFGR#1433	3740836
-1998	UNITED ST2	MFGR#1434	857691
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-1998	UNITED ST3	MFGR#141	4181582
-1998	UNITED ST3	MFGR#1410	3169761
-1998	UNITED ST3	MFGR#1412	6590440
-1998	UNITED ST3	MFGR#1413	2015369
-1998	UNITED ST3	MFGR#1414	4408466
-1998	UNITED ST3	MFGR#1415	3963826
-1998	UNITED ST3	MFGR#1416	3179540
-1998	UNITED ST3	MFGR#1417	11440999
-1998	UNITED ST3	MFGR#1418	8725751
-1998	UNITED ST3	MFGR#1419	10646990
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-1998	UNITED ST3	MFGR#1420	3583150
-1998	UNITED ST3	MFGR#1421	7085689
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-1998	UNITED ST3	MFGR#1423	12825743
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-1998	UNITED ST3	MFGR#1426	15164664
-1998	UNITED ST3	MFGR#1427	2619162
-1998	UNITED ST3	MFGR#1428	7723699
-1998	UNITED ST3	MFGR#143	24362893
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-1998	UNITED ST3	MFGR#1437	4802162
-1998	UNITED ST3	MFGR#1438	5079750
-1998	UNITED ST3	MFGR#1439	5905118
-1998	UNITED ST3	MFGR#144	5436839
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-1998	UNITED ST4	MFGR#1412	13988709
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-1998	UNITED ST4	MFGR#1416	9430036
-1998	UNITED ST4	MFGR#1417	17361773
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-1998	UNITED ST4	MFGR#1419	7116094
-1998	UNITED ST4	MFGR#142	18454502
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-1998	UNITED ST4	MFGR#1422	13861291
-1998	UNITED ST4	MFGR#1423	4208006
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-1998	UNITED ST4	MFGR#1426	11987205
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-1998	UNITED ST4	MFGR#1430	4355096
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-1998	UNITED ST4	MFGR#1435	13208151
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-1998	UNITED ST5	MFGR#1413	8051561
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-1998	UNITED ST5	MFGR#1417	7550747
-1998	UNITED ST5	MFGR#1418	14241755
-1998	UNITED ST5	MFGR#1419	4893846
-1998	UNITED ST5	MFGR#142	5418299
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-1998	UNITED ST5	MFGR#1423	5021100
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-1998	UNITED ST5	MFGR#1426	880680
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-1998	UNITED ST5	MFGR#1429	9429868
-1998	UNITED ST5	MFGR#143	15699981
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-1998	UNITED ST5	MFGR#1435	12957056
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-1998	UNITED ST5	MFGR#1439	11784214
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-1998	UNITED ST6	MFGR#1412	4800954
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-1998	UNITED ST6	MFGR#1418	4642727
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-1998	UNITED ST6	MFGR#1420	9016258
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-1998	UNITED ST6	MFGR#1423	9600097
-1998	UNITED ST6	MFGR#1424	7036762
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-1998	UNITED ST6	MFGR#1426	7033994
-1998	UNITED ST6	MFGR#1427	6481679
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-1998	UNITED ST6	MFGR#143	6500459
-1998	UNITED ST6	MFGR#1430	6816243
-1998	UNITED ST6	MFGR#1432	7752973
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-1998	UNITED ST6	MFGR#1437	2334894
-1998	UNITED ST6	MFGR#1438	4459455
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-1998	UNITED ST6	MFGR#145	7948794
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-1998	UNITED ST7	MFGR#1410	24393912
-1998	UNITED ST7	MFGR#1411	1283038
-1998	UNITED ST7	MFGR#1412	12607459
-1998	UNITED ST7	MFGR#1413	15421293
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-1998	UNITED ST7	MFGR#1419	13548941
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-1998	UNITED ST7	MFGR#1421	11166952
-1998	UNITED ST7	MFGR#1422	9231883
-1998	UNITED ST7	MFGR#1424	5796389
-1998	UNITED ST7	MFGR#1425	4943582
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-1998	UNITED ST7	MFGR#1427	9659296
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-1998	UNITED ST7	MFGR#143	5526167
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-1998	UNITED ST7	MFGR#1431	12979559
-1998	UNITED ST7	MFGR#1432	5832068
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-1998	UNITED ST7	MFGR#1436	7142934
-1998	UNITED ST7	MFGR#1437	7499671
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-1998	UNITED ST7	MFGR#1439	1974444
-1998	UNITED ST7	MFGR#144	2428463
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-1998	UNITED ST8	MFGR#1411	4069881
-1998	UNITED ST8	MFGR#1414	9474831
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-1998	UNITED ST8	MFGR#1418	2392133
-1998	UNITED ST8	MFGR#1419	2953230
-1998	UNITED ST8	MFGR#142	10702563
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-1998	UNITED ST8	MFGR#1422	9711968
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-1998	UNITED ST8	MFGR#1426	8937532
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-1998	UNITED ST8	MFGR#143	6231349
-1998	UNITED ST8	MFGR#1430	4678664
-1998	UNITED ST8	MFGR#1431	2459741
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-1998	UNITED ST8	MFGR#1434	8222328
-1998	UNITED ST8	MFGR#1435	4087165
-1998	UNITED ST8	MFGR#1437	7379288
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-1998	UNITED ST8	MFGR#146	13768113
-1998	UNITED ST8	MFGR#147	5279643
-1998	UNITED ST8	MFGR#149	15221410
-1998	UNITED ST9	MFGR#141	5544000
-1998	UNITED ST9	MFGR#1410	7971104
-1998	UNITED ST9	MFGR#1411	26426609
-1998	UNITED ST9	MFGR#1412	1701777
-1998	UNITED ST9	MFGR#1413	18786672
-1998	UNITED ST9	MFGR#1414	15787780
-1998	UNITED ST9	MFGR#1415	11214818
-1998	UNITED ST9	MFGR#1416	2076120
-1998	UNITED ST9	MFGR#1417	14310334
-1998	UNITED ST9	MFGR#1418	3558355
-1998	UNITED ST9	MFGR#1419	6134867
-1998	UNITED ST9	MFGR#142	257897
-1998	UNITED ST9	MFGR#1420	7716338
-1998	UNITED ST9	MFGR#1421	10291775
-1998	UNITED ST9	MFGR#1422	6105716
-1998	UNITED ST9	MFGR#1423	11378613
-1998	UNITED ST9	MFGR#1424	1904550
-1998	UNITED ST9	MFGR#1425	18831147
-1998	UNITED ST9	MFGR#1426	18562642
-1998	UNITED ST9	MFGR#1427	12565890
-1998	UNITED ST9	MFGR#1428	10720914
-1998	UNITED ST9	MFGR#1429	21940718
-1998	UNITED ST9	MFGR#143	21480722
-1998	UNITED ST9	MFGR#1430	30935173
-1998	UNITED ST9	MFGR#1431	7793012
-1998	UNITED ST9	MFGR#1432	10026104
-1998	UNITED ST9	MFGR#1433	17874435
-1998	UNITED ST9	MFGR#1434	5493785
-1998	UNITED ST9	MFGR#1435	10738769
-1998	UNITED ST9	MFGR#1436	43504
-1998	UNITED ST9	MFGR#1437	13559646
-1998	UNITED ST9	MFGR#1438	12654258
-1998	UNITED ST9	MFGR#1439	5972923
-1998	UNITED ST9	MFGR#144	15702123
-1998	UNITED ST9	MFGR#1440	6681029
-1998	UNITED ST9	MFGR#145	920718
-1998	UNITED ST9	MFGR#146	10435931
-1998	UNITED ST9	MFGR#147	4759326
-1998	UNITED ST9	MFGR#148	9970848
-1998	UNITED ST9	MFGR#149	7510940
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q1.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q1.1.out
deleted file mode 100644
index ba450f16d5..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q1.1.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q1.1 --
-446031203850
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q1.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q1.2.out
deleted file mode 100644
index 9e6e59831d..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q1.2.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q1.2 --
-98714004603
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q1.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q1.3.out
deleted file mode 100644
index dd5cabbd7c..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q1.3.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q1.3 --
-26232701005
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q2.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q2.1.out
deleted file mode 100644
index e1ebddab41..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q2.1.out
+++ /dev/null
@@ -1,283 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q2.1 --
-567838207	1992	MFGR#121
-610663790	1992	MFGR#1210
-550769662	1992	MFGR#1211
-649205856	1992	MFGR#1212
-624031241	1992	MFGR#1213
-670488468	1992	MFGR#1214
-633152470	1992	MFGR#1215
-674846781	1992	MFGR#1216
-675093435	1992	MFGR#1217
-600202070	1992	MFGR#1218
-538043594	1992	MFGR#1219
-655326672	1992	MFGR#122
-540262882	1992	MFGR#1220
-556120633	1992	MFGR#1221
-590762777	1992	MFGR#1222
-535448651	1992	MFGR#1223
-703752611	1992	MFGR#1224
-570832868	1992	MFGR#1225
-614061593	1992	MFGR#1226
-581759388	1992	MFGR#1227
-644642592	1992	MFGR#1228
-640858430	1992	MFGR#1229
-789755835	1992	MFGR#123
-468535087	1992	MFGR#1230
-592436656	1992	MFGR#1231
-664275152	1992	MFGR#1232
-613885100	1992	MFGR#1233
-667399281	1992	MFGR#1234
-640290070	1992	MFGR#1235
-501892561	1992	MFGR#1236
-591481503	1992	MFGR#1237
-477423770	1992	MFGR#1238
-638259374	1992	MFGR#1239
-572354196	1992	MFGR#124
-740479248	1992	MFGR#1240
-478777095	1992	MFGR#125
-592174616	1992	MFGR#126
-706151632	1992	MFGR#127
-542306646	1992	MFGR#128
-581987352	1992	MFGR#129
-823087702	1993	MFGR#121
-648160706	1993	MFGR#1210
-634743898	1993	MFGR#1211
-785639283	1993	MFGR#1212
-638255029	1993	MFGR#1213
-616837237	1993	MFGR#1214
-634687975	1993	MFGR#1215
-638353900	1993	MFGR#1216
-663372951	1993	MFGR#1217
-683985855	1993	MFGR#1218
-646950033	1993	MFGR#1219
-622532984	1993	MFGR#122
-530830127	1993	MFGR#1220
-543346337	1993	MFGR#1221
-756921203	1993	MFGR#1222
-533544350	1993	MFGR#1223
-915916085	1993	MFGR#1224
-473007381	1993	MFGR#1225
-739036124	1993	MFGR#1226
-592178887	1993	MFGR#1227
-583507058	1993	MFGR#1228
-617453491	1993	MFGR#1229
-637863868	1993	MFGR#123
-625534310	1993	MFGR#1230
-580327635	1993	MFGR#1231
-697373098	1993	MFGR#1232
-515571416	1993	MFGR#1233
-651935758	1993	MFGR#1234
-575779480	1993	MFGR#1235
-591878667	1993	MFGR#1236
-609618576	1993	MFGR#1237
-444614010	1993	MFGR#1238
-595256327	1993	MFGR#1239
-660586237	1993	MFGR#124
-788730059	1993	MFGR#1240
-616224539	1993	MFGR#125
-617126754	1993	MFGR#126
-654438324	1993	MFGR#127
-731657001	1993	MFGR#128
-548048395	1993	MFGR#129
-564405648	1994	MFGR#121
-645404849	1994	MFGR#1210
-631620635	1994	MFGR#1211
-568332348	1994	MFGR#1212
-678785857	1994	MFGR#1213
-534002330	1994	MFGR#1214
-654400242	1994	MFGR#1215
-558646341	1994	MFGR#1216
-687845641	1994	MFGR#1217
-546674347	1994	MFGR#1218
-567272942	1994	MFGR#1219
-659884062	1994	MFGR#122
-562582172	1994	MFGR#1220
-598618997	1994	MFGR#1221
-601016441	1994	MFGR#1222
-555134404	1994	MFGR#1223
-737422302	1994	MFGR#1224
-570745955	1994	MFGR#1225
-746302245	1994	MFGR#1226
-651707481	1994	MFGR#1227
-573693547	1994	MFGR#1228
-647918373	1994	MFGR#1229
-580449592	1994	MFGR#123
-493270412	1994	MFGR#1230
-603546148	1994	MFGR#1231
-719865331	1994	MFGR#1232
-638982238	1994	MFGR#1233
-743247677	1994	MFGR#1234
-598680959	1994	MFGR#1235
-615726097	1994	MFGR#1236
-542569815	1994	MFGR#1237
-573510781	1994	MFGR#1238
-579855853	1994	MFGR#1239
-684573322	1994	MFGR#124
-873735737	1994	MFGR#1240
-560488304	1994	MFGR#125
-657036514	1994	MFGR#126
-622571183	1994	MFGR#127
-586845664	1994	MFGR#128
-534541525	1994	MFGR#129
-706469511	1995	MFGR#121
-602892803	1995	MFGR#1210
-645166092	1995	MFGR#1211
-613289283	1995	MFGR#1212
-599586479	1995	MFGR#1213
-562570804	1995	MFGR#1214
-672528755	1995	MFGR#1215
-669000972	1995	MFGR#1216
-725362449	1995	MFGR#1217
-657026635	1995	MFGR#1218
-519659003	1995	MFGR#1219
-724727741	1995	MFGR#122
-517956131	1995	MFGR#1220
-635741351	1995	MFGR#1221
-564368410	1995	MFGR#1222
-600665149	1995	MFGR#1223
-762700351	1995	MFGR#1224
-671669586	1995	MFGR#1225
-572568748	1995	MFGR#1226
-530361300	1995	MFGR#1227
-633357085	1995	MFGR#1228
-547960244	1995	MFGR#1229
-660711077	1995	MFGR#123
-602735858	1995	MFGR#1230
-499852146	1995	MFGR#1231
-715300753	1995	MFGR#1232
-557149571	1995	MFGR#1233
-710023059	1995	MFGR#1234
-622425239	1995	MFGR#1235
-634565501	1995	MFGR#1236
-572847270	1995	MFGR#1237
-549318912	1995	MFGR#1238
-593851712	1995	MFGR#1239
-585421815	1995	MFGR#124
-707207888	1995	MFGR#1240
-538246872	1995	MFGR#125
-605799021	1995	MFGR#126
-665978112	1995	MFGR#127
-646960956	1995	MFGR#128
-508749401	1995	MFGR#129
-523879145	1996	MFGR#121
-643645053	1996	MFGR#1210
-595065339	1996	MFGR#1211
-674626440	1996	MFGR#1212
-496297087	1996	MFGR#1213
-583249505	1996	MFGR#1214
-702184857	1996	MFGR#1215
-601809334	1996	MFGR#1216
-704898387	1996	MFGR#1217
-528843086	1996	MFGR#1218
-586246330	1996	MFGR#1219
-712110492	1996	MFGR#122
-518444215	1996	MFGR#1220
-499319414	1996	MFGR#1221
-679469356	1996	MFGR#1222
-628762754	1996	MFGR#1223
-724844856	1996	MFGR#1224
-660620587	1996	MFGR#1225
-667674729	1996	MFGR#1226
-483838085	1996	MFGR#1227
-609855391	1996	MFGR#1228
-658959557	1996	MFGR#1229
-566217852	1996	MFGR#123
-528879998	1996	MFGR#1230
-589481194	1996	MFGR#1231
-702805896	1996	MFGR#1232
-663679947	1996	MFGR#1233
-571149450	1996	MFGR#1234
-478648074	1996	MFGR#1235
-568249365	1996	MFGR#1236
-592616167	1996	MFGR#1237
-466676148	1996	MFGR#1238
-670693719	1996	MFGR#1239
-560667719	1996	MFGR#124
-821167950	1996	MFGR#1240
-476864333	1996	MFGR#125
-558030884	1996	MFGR#126
-635873891	1996	MFGR#127
-551010618	1996	MFGR#128
-560570630	1996	MFGR#129
-587013207	1997	MFGR#121
-616287892	1997	MFGR#1210
-548588761	1997	MFGR#1211
-589593892	1997	MFGR#1212
-424306670	1997	MFGR#1213
-511971910	1997	MFGR#1214
-631772246	1997	MFGR#1215
-692135140	1997	MFGR#1216
-777994957	1997	MFGR#1217
-707053720	1997	MFGR#1218
-561169527	1997	MFGR#1219
-664916245	1997	MFGR#122
-594466157	1997	MFGR#1220
-588848171	1997	MFGR#1221
-528988960	1997	MFGR#1222
-537098211	1997	MFGR#1223
-674763166	1997	MFGR#1224
-450402292	1997	MFGR#1225
-701360722	1997	MFGR#1226
-506011570	1997	MFGR#1227
-585578737	1997	MFGR#1228
-622744016	1997	MFGR#1229
-646503168	1997	MFGR#123
-571800941	1997	MFGR#1230
-502601790	1997	MFGR#1231
-677924656	1997	MFGR#1232
-534455976	1997	MFGR#1233
-714934715	1997	MFGR#1234
-767151420	1997	MFGR#1235
-618877179	1997	MFGR#1236
-639638057	1997	MFGR#1237
-401953419	1997	MFGR#1238
-610756714	1997	MFGR#1239
-543248087	1997	MFGR#124
-675132692	1997	MFGR#1240
-479099365	1997	MFGR#125
-570696568	1997	MFGR#126
-583074592	1997	MFGR#127
-695133104	1997	MFGR#128
-655638776	1997	MFGR#129
-344575925	1998	MFGR#121
-417152416	1998	MFGR#1210
-317068168	1998	MFGR#1211
-374341516	1998	MFGR#1212
-332740903	1998	MFGR#1213
-304873002	1998	MFGR#1214
-366101132	1998	MFGR#1215
-379133898	1998	MFGR#1216
-359508497	1998	MFGR#1217
-320623334	1998	MFGR#1218
-346182862	1998	MFGR#1219
-312440027	1998	MFGR#122
-348123961	1998	MFGR#1220
-339845398	1998	MFGR#1221
-355416161	1998	MFGR#1222
-344889822	1998	MFGR#1223
-396906691	1998	MFGR#1224
-290208878	1998	MFGR#1225
-419415707	1998	MFGR#1226
-358466340	1998	MFGR#1227
-251549955	1998	MFGR#1228
-383138860	1998	MFGR#1229
-296330561	1998	MFGR#123
-437181243	1998	MFGR#1230
-398944492	1998	MFGR#1231
-424062455	1998	MFGR#1232
-406967188	1998	MFGR#1233
-428867240	1998	MFGR#1234
-352277781	1998	MFGR#1235
-361827086	1998	MFGR#1236
-341618569	1998	MFGR#1237
-244739231	1998	MFGR#1238
-414151803	1998	MFGR#1239
-330082371	1998	MFGR#124
-415312453	1998	MFGR#1240
-360289624	1998	MFGR#125
-341657580	1998	MFGR#126
-377507061	1998	MFGR#127
-361416497	1998	MFGR#128
-318769573	1998	MFGR#129
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q2.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q2.2.out
deleted file mode 100644
index 8677d312f4..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q2.2.out
+++ /dev/null
@@ -1,59 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q2.2 --
-709524929	1992	MFGR#2221
-783846394	1992	MFGR#2222
-765052002	1992	MFGR#2223
-651488962	1992	MFGR#2224
-646528589	1992	MFGR#2225
-709650548	1992	MFGR#2226
-745556316	1992	MFGR#2227
-756901875	1992	MFGR#2228
-766521103	1993	MFGR#2221
-691475597	1993	MFGR#2222
-758220752	1993	MFGR#2223
-669662707	1993	MFGR#2224
-773854228	1993	MFGR#2225
-737087518	1993	MFGR#2226
-781967766	1993	MFGR#2227
-680880216	1993	MFGR#2228
-685777518	1994	MFGR#2221
-666524807	1994	MFGR#2222
-733993590	1994	MFGR#2223
-707869040	1994	MFGR#2224
-721251967	1994	MFGR#2225
-822495919	1994	MFGR#2226
-720837128	1994	MFGR#2227
-826225350	1994	MFGR#2228
-775437074	1995	MFGR#2221
-761354792	1995	MFGR#2222
-637832575	1995	MFGR#2223
-589765707	1995	MFGR#2224
-708290039	1995	MFGR#2225
-747356383	1995	MFGR#2226
-802502540	1995	MFGR#2227
-895936786	1995	MFGR#2228
-700010008	1996	MFGR#2221
-777310085	1996	MFGR#2222
-656095314	1996	MFGR#2223
-656859917	1996	MFGR#2224
-765820896	1996	MFGR#2225
-808177734	1996	MFGR#2226
-729563303	1996	MFGR#2227
-819665874	1996	MFGR#2228
-727342382	1997	MFGR#2221
-664533779	1997	MFGR#2222
-748288392	1997	MFGR#2223
-630422081	1997	MFGR#2224
-757391203	1997	MFGR#2225
-747889257	1997	MFGR#2226
-728857899	1997	MFGR#2227
-775312985	1997	MFGR#2228
-335304504	1998	MFGR#2221
-409347137	1998	MFGR#2222
-459109577	1998	MFGR#2223
-413318072	1998	MFGR#2224
-410402095	1998	MFGR#2225
-453515044	1998	MFGR#2226
-390506405	1998	MFGR#2227
-397939103	1998	MFGR#2228
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q2.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q2.3.out
deleted file mode 100644
index cb87e34504..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q2.3.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q2.3 --
-726427486	1992	MFGR#2239
-705238959	1993	MFGR#2239
-664145134	1994	MFGR#2239
-713839336	1995	MFGR#2239
-728492865	1996	MFGR#2239
-733896532	1997	MFGR#2239
-380255731	1998	MFGR#2239
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q3.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q3.1.out
deleted file mode 100644
index c618f9495d..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q3.1.out
+++ /dev/null
@@ -1,153 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q3.1 --
-INDONESIA	INDONESIA	1992	6905698988
-CHINA	INDONESIA	1992	6616078869
-CHINA	CHINA	1992	6456431477
-VIETNAM	INDONESIA	1992	6340181707
-VIETNAM	CHINA	1992	6332844390
-INDONESIA	CHINA	1992	6310709533
-INDIA	INDONESIA	1992	6238807354
-JAPAN	INDONESIA	1992	6222565638
-CHINA	INDIA	1992	6189831351
-CHINA	JAPAN	1992	6157678893
-JAPAN	CHINA	1992	6067100655
-INDIA	CHINA	1992	6066461811
-VIETNAM	JAPAN	1992	5863786349
-JAPAN	INDIA	1992	5802749985
-INDONESIA	INDIA	1992	5770203218
-VIETNAM	INDIA	1992	5698511401
-INDONESIA	JAPAN	1992	5663765610
-JAPAN	JAPAN	1992	5648034711
-INDIA	JAPAN	1992	5421959281
-CHINA	VIETNAM	1992	5412322026
-JAPAN	VIETNAM	1992	5401692555
-INDIA	INDIA	1992	5361243755
-INDONESIA	VIETNAM	1992	5302638372
-INDIA	VIETNAM	1992	5245330621
-VIETNAM	VIETNAM	1992	5111731778
-INDONESIA	INDONESIA	1993	6931363262
-INDONESIA	CHINA	1993	6612891249
-CHINA	INDONESIA	1993	6581513366
-VIETNAM	INDONESIA	1993	6511639352
-CHINA	CHINA	1993	6444513787
-CHINA	INDIA	1993	6421694121
-VIETNAM	CHINA	1993	6413579999
-INDIA	INDONESIA	1993	6331058594
-JAPAN	CHINA	1993	6292293995
-INDIA	CHINA	1993	6209353792
-CHINA	JAPAN	1993	6195466884
-VIETNAM	INDIA	1993	6161174477
-INDONESIA	INDIA	1993	6151664306
-INDONESIA	JAPAN	1993	6147605249
-JAPAN	INDONESIA	1993	6053946313
-INDIA	JAPAN	1993	5995208985
-CHINA	VIETNAM	1993	5885023228
-VIETNAM	JAPAN	1993	5874266867
-INDONESIA	VIETNAM	1993	5840287722
-JAPAN	INDIA	1993	5823343157
-INDIA	INDIA	1993	5571575799
-VIETNAM	VIETNAM	1993	5554161183
-JAPAN	JAPAN	1993	5430318583
-JAPAN	VIETNAM	1993	5406569653
-INDIA	VIETNAM	1993	5233871487
-VIETNAM	CHINA	1994	6709883442
-CHINA	CHINA	1994	6648942965
-INDONESIA	CHINA	1994	6483600910
-CHINA	JAPAN	1994	6349037021
-VIETNAM	INDONESIA	1994	6347441931
-JAPAN	CHINA	1994	6320009218
-INDONESIA	INDONESIA	1994	6315331086
-CHINA	INDIA	1994	6297582811
-CHINA	INDONESIA	1994	6234787896
-VIETNAM	JAPAN	1994	6231973047
-INDONESIA	INDIA	1994	6198412245
-INDIA	INDONESIA	1994	6168189859
-INDONESIA	JAPAN	1994	6141195969
-JAPAN	INDONESIA	1994	6013034618
-CHINA	VIETNAM	1994	5885318733
-INDIA	CHINA	1994	5815022714
-VIETNAM	INDIA	1994	5789398691
-JAPAN	JAPAN	1994	5753821482
-JAPAN	INDIA	1994	5645818872
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diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q3.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q3.2.out
deleted file mode 100644
index 6fa0c9ba6d..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q3.2.out
+++ /dev/null
@@ -1,602 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q3.2 --
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-UNITED ST9	UNITED ST1	1996	101983827
-UNITED ST1	UNITED ST0	1996	94861554
-UNITED ST0	UNITED ST1	1996	91948777
-UNITED ST6	UNITED ST1	1996	89705870
-UNITED ST2	UNITED ST1	1996	88256155
-UNITED ST1	UNITED ST1	1996	87265848
-UNITED ST4	UNITED ST7	1996	83677814
-UNITED ST6	UNITED ST3	1996	82168229
-UNITED ST2	UNITED ST7	1996	80468477
-UNITED ST8	UNITED ST1	1996	78971756
-UNITED ST7	UNITED ST4	1996	77941011
-UNITED ST1	UNITED ST3	1996	77610905
-UNITED ST9	UNITED ST9	1996	77301740
-UNITED ST0	UNITED ST9	1996	75935209
-UNITED ST7	UNITED ST0	1996	75602445
-UNITED ST3	UNITED ST1	1996	74746699
-UNITED ST7	UNITED ST7	1996	74040644
-UNITED ST4	UNITED ST1	1996	72819867
-UNITED ST5	UNITED ST9	1996	72614114
-UNITED ST1	UNITED ST9	1996	69823769
-UNITED ST9	UNITED ST4	1996	69616614
-UNITED ST6	UNITED ST4	1996	69296005
-UNITED ST2	UNITED ST0	1996	67095122
-UNITED ST5	UNITED ST1	1996	65346389
-UNITED ST6	UNITED ST9	1996	63256182
-UNITED ST4	UNITED ST6	1996	62189328
-UNITED ST0	UNITED ST0	1996	61528855
-UNITED ST8	UNITED ST9	1996	60466691
-UNITED ST3	UNITED ST0	1996	60226840
-UNITED ST8	UNITED ST6	1996	59746655
-UNITED ST2	UNITED ST3	1996	59648598
-UNITED ST0	UNITED ST5	1996	57762895
-UNITED ST8	UNITED ST7	1996	57523925
-UNITED ST2	UNITED ST4	1996	57487057
-UNITED ST6	UNITED ST7	1996	57090619
-UNITED ST3	UNITED ST4	1996	54838259
-UNITED ST4	UNITED ST9	1996	54134840
-UNITED ST1	UNITED ST6	1996	54056366
-UNITED ST3	UNITED ST7	1996	53987218
-UNITED ST2	UNITED ST9	1996	53491415
-UNITED ST4	UNITED ST8	1996	53035662
-UNITED ST9	UNITED ST5	1996	52825922
-UNITED ST7	UNITED ST3	1996	52356886
-UNITED ST6	UNITED ST8	1996	52136784
-UNITED ST1	UNITED ST5	1996	51189649
-UNITED ST8	UNITED ST4	1996	51033054
-UNITED ST1	UNITED ST4	1996	50135547
-UNITED ST3	UNITED ST9	1996	49612304
-UNITED ST9	UNITED ST0	1996	49590701
-UNITED ST3	UNITED ST3	1996	49263796
-UNITED ST9	UNITED ST7	1996	48798759
-UNITED ST7	UNITED ST1	1996	48784175
-UNITED ST9	UNITED ST6	1996	48685063
-UNITED ST2	UNITED ST5	1996	47028976
-UNITED ST9	UNITED ST3	1996	47021018
-UNITED ST2	UNITED ST8	1996	46865113
-UNITED ST4	UNITED ST3	1996	46460940
-UNITED ST6	UNITED ST5	1996	46030104
-UNITED ST2	UNITED ST6	1996	45416649
-UNITED ST8	UNITED ST5	1996	43480473
-UNITED ST5	UNITED ST5	1996	43020722
-UNITED ST6	UNITED ST6	1996	42923032
-UNITED ST4	UNITED ST5	1996	42808412
-UNITED ST3	UNITED ST6	1996	41881628
-UNITED ST1	UNITED ST7	1996	41721506
-UNITED ST5	UNITED ST7	1996	40946330
-UNITED ST8	UNITED ST0	1996	39845427
-UNITED ST8	UNITED ST3	1996	39535940
-UNITED ST1	UNITED ST8	1996	39430882
-UNITED ST5	UNITED ST6	1996	38332044
-UNITED ST0	UNITED ST6	1996	37232062
-UNITED ST7	UNITED ST6	1996	36535628
-UNITED ST9	UNITED ST8	1996	36112301
-UNITED ST3	UNITED ST8	1996	33924732
-UNITED ST3	UNITED ST5	1996	33717439
-UNITED ST5	UNITED ST4	1996	33424859
-UNITED ST5	UNITED ST3	1996	32919926
-UNITED ST4	UNITED ST4	1996	32787995
-UNITED ST7	UNITED ST5	1996	32784224
-UNITED ST5	UNITED ST8	1996	32415682
-UNITED ST0	UNITED ST7	1996	31391181
-UNITED ST0	UNITED ST3	1996	29795665
-UNITED ST7	UNITED ST9	1996	25028091
-UNITED ST7	UNITED ST8	1996	24348851
-UNITED ST6	UNITED ST2	1996	20447847
-UNITED ST8	UNITED ST8	1996	16340603
-UNITED ST0	UNITED ST8	1996	15168262
-UNITED ST4	UNITED ST2	1996	12451867
-UNITED ST1	UNITED ST2	1996	10082536
-UNITED ST5	UNITED ST2	1996	8544233
-UNITED ST7	UNITED ST2	1996	8390470
-UNITED ST9	UNITED ST2	1996	8108035
-UNITED ST8	UNITED ST2	1996	7028334
-UNITED ST0	UNITED ST2	1996	6907199
-UNITED ST3	UNITED ST2	1996	4311800
-UNITED ST5	UNITED ST0	1997	121457766
-UNITED ST0	UNITED ST9	1997	119856268
-UNITED ST5	UNITED ST1	1997	106900161
-UNITED ST9	UNITED ST9	1997	106222795
-UNITED ST5	UNITED ST4	1997	103432927
-UNITED ST7	UNITED ST1	1997	101326940
-UNITED ST5	UNITED ST9	1997	97392640
-UNITED ST8	UNITED ST0	1997	89434845
-UNITED ST1	UNITED ST3	1997	85175638
-UNITED ST4	UNITED ST1	1997	84611188
-UNITED ST4	UNITED ST7	1997	84606996
-UNITED ST1	UNITED ST4	1997	83092569
-UNITED ST0	UNITED ST1	1997	80167139
-UNITED ST4	UNITED ST9	1997	79697927
-UNITED ST1	UNITED ST0	1997	77667866
-UNITED ST2	UNITED ST0	1997	77591470
-UNITED ST1	UNITED ST7	1997	77045722
-UNITED ST2	UNITED ST7	1997	76483802
-UNITED ST1	UNITED ST1	1997	76340444
-UNITED ST0	UNITED ST7	1997	72577490
-UNITED ST4	UNITED ST0	1997	69875804
-UNITED ST6	UNITED ST3	1997	69725506
-UNITED ST2	UNITED ST9	1997	69543984
-UNITED ST7	UNITED ST0	1997	69354312
-UNITED ST9	UNITED ST7	1997	69052630
-UNITED ST8	UNITED ST3	1997	66918394
-UNITED ST0	UNITED ST0	1997	66308516
-UNITED ST9	UNITED ST0	1997	66066791
-UNITED ST2	UNITED ST3	1997	65429453
-UNITED ST2	UNITED ST1	1997	65396135
-UNITED ST4	UNITED ST4	1997	62532346
-UNITED ST9	UNITED ST1	1997	62418406
-UNITED ST3	UNITED ST7	1997	61095300
-UNITED ST7	UNITED ST4	1997	60123494
-UNITED ST4	UNITED ST3	1997	59634153
-UNITED ST3	UNITED ST4	1997	58356141
-UNITED ST6	UNITED ST9	1997	58231263
-UNITED ST6	UNITED ST4	1997	57215022
-UNITED ST2	UNITED ST4	1997	57012611
-UNITED ST5	UNITED ST3	1997	56789932
-UNITED ST9	UNITED ST5	1997	56091920
-UNITED ST6	UNITED ST0	1997	55824919
-UNITED ST6	UNITED ST1	1997	55117709
-UNITED ST7	UNITED ST9	1997	55039970
-UNITED ST5	UNITED ST7	1997	54534315
-UNITED ST3	UNITED ST1	1997	54150683
-UNITED ST3	UNITED ST0	1997	54050172
-UNITED ST3	UNITED ST9	1997	51370308
-UNITED ST1	UNITED ST5	1997	51052110
-UNITED ST6	UNITED ST7	1997	49795849
-UNITED ST5	UNITED ST6	1997	49030016
-UNITED ST1	UNITED ST9	1997	48944111
-UNITED ST3	UNITED ST3	1997	48385233
-UNITED ST0	UNITED ST5	1997	47988418
-UNITED ST2	UNITED ST8	1997	46391909
-UNITED ST4	UNITED ST6	1997	46236849
-UNITED ST9	UNITED ST3	1997	46121724
-UNITED ST8	UNITED ST9	1997	45852796
-UNITED ST7	UNITED ST8	1997	45476266
-UNITED ST8	UNITED ST1	1997	43284139
-UNITED ST7	UNITED ST7	1997	42566603
-UNITED ST0	UNITED ST4	1997	41193803
-UNITED ST8	UNITED ST7	1997	40878429
-UNITED ST8	UNITED ST8	1997	40749400
-UNITED ST2	UNITED ST5	1997	40662886
-UNITED ST0	UNITED ST3	1997	40078508
-UNITED ST6	UNITED ST8	1997	37988445
-UNITED ST9	UNITED ST6	1997	37596882
-UNITED ST6	UNITED ST5	1997	37571788
-UNITED ST2	UNITED ST2	1997	37034333
-UNITED ST7	UNITED ST5	1997	36889736
-UNITED ST8	UNITED ST4	1997	36600584
-UNITED ST3	UNITED ST6	1997	36075844
-UNITED ST7	UNITED ST3	1997	35168922
-UNITED ST2	UNITED ST6	1997	34274467
-UNITED ST5	UNITED ST8	1997	32910946
-UNITED ST3	UNITED ST5	1997	32811963
-UNITED ST4	UNITED ST8	1997	32599736
-UNITED ST5	UNITED ST5	1997	32568888
-UNITED ST4	UNITED ST5	1997	31995868
-UNITED ST9	UNITED ST4	1997	31765478
-UNITED ST7	UNITED ST2	1997	31409590
-UNITED ST9	UNITED ST8	1997	31272385
-UNITED ST0	UNITED ST8	1997	30241370
-UNITED ST3	UNITED ST8	1997	29102220
-UNITED ST7	UNITED ST6	1997	27539931
-UNITED ST8	UNITED ST5	1997	26673743
-UNITED ST6	UNITED ST6	1997	24983291
-UNITED ST0	UNITED ST2	1997	23584229
-UNITED ST0	UNITED ST6	1997	22924046
-UNITED ST1	UNITED ST2	1997	20599130
-UNITED ST8	UNITED ST6	1997	20073000
-UNITED ST1	UNITED ST6	1997	18205326
-UNITED ST1	UNITED ST8	1997	15375258
-UNITED ST6	UNITED ST2	1997	14746680
-UNITED ST5	UNITED ST2	1997	13863438
-UNITED ST8	UNITED ST2	1997	12053706
-UNITED ST3	UNITED ST2	1997	7891878
-UNITED ST4	UNITED ST2	1997	2848157
-UNITED ST9	UNITED ST2	1997	2661652
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q3.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q3.3.out
deleted file mode 100644
index 96695e04c8..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q3.3.out
+++ /dev/null
@@ -1,27 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q3.3 --
-UNITED KI1	UNITED KI1	1992	46735995
-UNITED KI5	UNITED KI1	1992	36277055
-UNITED KI5	UNITED KI5	1992	25355267
-UNITED KI1	UNITED KI5	1992	21917846
-UNITED KI5	UNITED KI1	1993	61017607
-UNITED KI1	UNITED KI1	1993	45669535
-UNITED KI5	UNITED KI5	1993	34099392
-UNITED KI1	UNITED KI5	1993	21444206
-UNITED KI5	UNITED KI1	1994	36282163
-UNITED KI1	UNITED KI1	1994	34868441
-UNITED KI5	UNITED KI5	1994	34507284
-UNITED KI1	UNITED KI5	1994	21221780
-UNITED KI5	UNITED KI1	1995	82955896
-UNITED KI1	UNITED KI1	1995	35881186
-UNITED KI5	UNITED KI5	1995	20539805
-UNITED KI1	UNITED KI5	1995	17176510
-UNITED KI5	UNITED KI1	1996	65767049
-UNITED KI1	UNITED KI1	1996	59923037
-UNITED KI5	UNITED KI5	1996	46077342
-UNITED KI1	UNITED KI5	1996	13700254
-UNITED KI1	UNITED KI1	1997	70343133
-UNITED KI5	UNITED KI1	1997	64978359
-UNITED KI5	UNITED KI5	1997	27332027
-UNITED KI1	UNITED KI5	1997	16410668
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q3.4.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q3.4.out
deleted file mode 100644
index 136aefa350..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q3.4.out
+++ /dev/null
@@ -1,6 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q3.4 --
-UNITED KI5	UNITED KI1	1997	9117846
-UNITED KI5	UNITED KI5	1997	6203801
-UNITED KI1	UNITED KI5	1997	1870070
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q4.1.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q4.1.out
deleted file mode 100644
index 485ce1aa92..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q4.1.out
+++ /dev/null
@@ -1,38 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q4.1 --
-1992	ARGENTINA	9658964469
-1992	BRAZIL	9226983055
-1992	CANADA	9643176787
-1992	PERU	9410676597
-1992	UNITED STATES	9849427653
-1993	ARGENTINA	9976332853
-1993	BRAZIL	9468799229
-1993	CANADA	9897302420
-1993	PERU	9309445836
-1993	UNITED STATES	10003985086
-1994	ARGENTINA	9940305215
-1994	BRAZIL	9348651677
-1994	CANADA	9582647596
-1994	PERU	9295265013
-1994	UNITED STATES	9519880425
-1995	ARGENTINA	10143841380
-1995	BRAZIL	9156077350
-1995	CANADA	9562612160
-1995	PERU	9778087211
-1995	UNITED STATES	9310565244
-1996	ARGENTINA	10001927895
-1996	BRAZIL	9168485151
-1996	CANADA	10061604203
-1996	PERU	9355135674
-1996	UNITED STATES	9769712174
-1997	ARGENTINA	9854560261
-1997	BRAZIL	9121571047
-1997	CANADA	10097371778
-1997	PERU	9315525917
-1997	UNITED STATES	10506723879
-1998	ARGENTINA	5834240407
-1998	BRAZIL	5356398095
-1998	CANADA	5423211196
-1998	PERU	5726185970
-1998	UNITED STATES	6009462019
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q4.2.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q4.2.out
deleted file mode 100644
index 600a018fb4..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q4.2.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q4.2 --
-1997	ARGENTINA	MFGR#11	907071566
-1997	ARGENTINA	MFGR#12	924115562
-1997	ARGENTINA	MFGR#13	972861821
-1997	ARGENTINA	MFGR#14	975410345
-1997	ARGENTINA	MFGR#15	938867375
-1997	ARGENTINA	MFGR#21	1014782574
-1997	ARGENTINA	MFGR#22	873016783
-1997	ARGENTINA	MFGR#23	1030357302
-1997	ARGENTINA	MFGR#24	893460579
-1997	ARGENTINA	MFGR#25	1006311403
-1997	BRAZIL	MFGR#11	1073219328
-1997	BRAZIL	MFGR#12	989858833
-1997	BRAZIL	MFGR#13	1128480379
-1997	BRAZIL	MFGR#14	1194256722
-1997	BRAZIL	MFGR#15	1094419124
-1997	BRAZIL	MFGR#21	910026832
-1997	BRAZIL	MFGR#22	993142048
-1997	BRAZIL	MFGR#23	1107672874
-1997	BRAZIL	MFGR#24	1058013649
-1997	BRAZIL	MFGR#25	994733764
-1997	CANADA	MFGR#11	854725020
-1997	CANADA	MFGR#12	938718164
-1997	CANADA	MFGR#13	959265890
-1997	CANADA	MFGR#14	1002812450
-1997	CANADA	MFGR#15	848183013
-1997	CANADA	MFGR#21	999805272
-1997	CANADA	MFGR#22	778419763
-1997	CANADA	MFGR#23	928359645
-1997	CANADA	MFGR#24	849895128
-1997	CANADA	MFGR#25	904587965
-1997	PERU	MFGR#11	1100242877
-1997	PERU	MFGR#12	994365350
-1997	PERU	MFGR#13	847486105
-1997	PERU	MFGR#14	947769683
-1997	PERU	MFGR#15	999395678
-1997	PERU	MFGR#21	867923394
-1997	PERU	MFGR#22	988747459
-1997	PERU	MFGR#23	1066645086
-1997	PERU	MFGR#24	935665725
-1997	PERU	MFGR#25	981454129
-1997	UNITED STATES	MFGR#11	1046706048
-1997	UNITED STATES	MFGR#12	909213709
-1997	UNITED STATES	MFGR#13	1096278906
-1997	UNITED STATES	MFGR#14	934282111
-1997	UNITED STATES	MFGR#15	962760843
-1997	UNITED STATES	MFGR#21	1000676474
-1997	UNITED STATES	MFGR#22	1076947615
-1997	UNITED STATES	MFGR#23	937288102
-1997	UNITED STATES	MFGR#24	1003386363
-1997	UNITED STATES	MFGR#25	1053666052
-1998	ARGENTINA	MFGR#11	567612227
-1998	ARGENTINA	MFGR#12	527025042
-1998	ARGENTINA	MFGR#13	582791792
-1998	ARGENTINA	MFGR#14	523726368
-1998	ARGENTINA	MFGR#15	522078267
-1998	ARGENTINA	MFGR#21	504712685
-1998	ARGENTINA	MFGR#22	506061736
-1998	ARGENTINA	MFGR#23	560479801
-1998	ARGENTINA	MFGR#24	524579118
-1998	ARGENTINA	MFGR#25	547840211
-1998	BRAZIL	MFGR#11	638578488
-1998	BRAZIL	MFGR#12	646312681
-1998	BRAZIL	MFGR#13	655161772
-1998	BRAZIL	MFGR#14	552676170
-1998	BRAZIL	MFGR#15	663812709
-1998	BRAZIL	MFGR#21	668822448
-1998	BRAZIL	MFGR#22	591791918
-1998	BRAZIL	MFGR#23	690648877
-1998	BRAZIL	MFGR#24	562362220
-1998	BRAZIL	MFGR#25	704182376
-1998	CANADA	MFGR#11	509086125
-1998	CANADA	MFGR#12	488089772
-1998	CANADA	MFGR#13	486533297
-1998	CANADA	MFGR#14	527837227
-1998	CANADA	MFGR#15	535869299
-1998	CANADA	MFGR#21	455868651
-1998	CANADA	MFGR#22	594277308
-1998	CANADA	MFGR#23	574125070
-1998	CANADA	MFGR#24	508530424
-1998	CANADA	MFGR#25	547757992
-1998	PERU	MFGR#11	567838547
-1998	PERU	MFGR#12	540544757
-1998	PERU	MFGR#13	591331883
-1998	PERU	MFGR#14	481335064
-1998	PERU	MFGR#15	570246138
-1998	PERU	MFGR#21	533733330
-1998	PERU	MFGR#22	527790656
-1998	PERU	MFGR#23	636393221
-1998	PERU	MFGR#24	589075262
-1998	PERU	MFGR#25	543251115
-1998	UNITED STATES	MFGR#11	556276232
-1998	UNITED STATES	MFGR#12	612385982
-1998	UNITED STATES	MFGR#13	622413927
-1998	UNITED STATES	MFGR#14	555006887
-1998	UNITED STATES	MFGR#15	525119569
-1998	UNITED STATES	MFGR#21	563406836
-1998	UNITED STATES	MFGR#22	580478735
-1998	UNITED STATES	MFGR#23	656080465
-1998	UNITED STATES	MFGR#24	538445058
-1998	UNITED STATES	MFGR#25	589111952
-
diff --git a/regression-test/data/datev2/ssb_sf1_p2/sql/q4.3.out b/regression-test/data/datev2/ssb_sf1_p2/sql/q4.3.out
deleted file mode 100644
index 09c8399d00..0000000000
--- a/regression-test/data/datev2/ssb_sf1_p2/sql/q4.3.out
+++ /dev/null
@@ -1,697 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q4.3 --
-1997	UNITED ST0	MFGR#141	15456288
-1997	UNITED ST0	MFGR#1410	32961113
-1997	UNITED ST0	MFGR#1411	36166400
-1997	UNITED ST0	MFGR#1412	18237451
-1997	UNITED ST0	MFGR#1413	40752813
-1997	UNITED ST0	MFGR#1414	24237588
-1997	UNITED ST0	MFGR#1415	6419001
-1997	UNITED ST0	MFGR#1416	15639876
-1997	UNITED ST0	MFGR#1417	15476211
-1997	UNITED ST0	MFGR#1418	8169956
-1997	UNITED ST0	MFGR#1419	18217252
-1997	UNITED ST0	MFGR#142	29361222
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-1997	UNITED ST0	MFGR#1424	28064267
-1997	UNITED ST0	MFGR#1425	15255845
-1997	UNITED ST0	MFGR#1426	5610353
-1997	UNITED ST0	MFGR#1427	5750693
-1997	UNITED ST0	MFGR#1428	14081707
-1997	UNITED ST0	MFGR#1429	9024512
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-1997	UNITED ST0	MFGR#1430	16961739
-1997	UNITED ST0	MFGR#1431	19015253
-1997	UNITED ST0	MFGR#1432	6324917
-1997	UNITED ST0	MFGR#1433	6734461
-1997	UNITED ST0	MFGR#1434	19206393
-1997	UNITED ST0	MFGR#1435	679925
-1997	UNITED ST0	MFGR#1436	13834012
-1997	UNITED ST0	MFGR#1437	23575407
-1997	UNITED ST0	MFGR#1438	24756074
-1997	UNITED ST0	MFGR#1439	19644072
-1997	UNITED ST0	MFGR#144	20285157
-1997	UNITED ST0	MFGR#1440	14068558
-1997	UNITED ST0	MFGR#145	22646138
-1997	UNITED ST0	MFGR#146	16381159
-1997	UNITED ST0	MFGR#147	12267827
-1997	UNITED ST0	MFGR#148	30968614
-1997	UNITED ST0	MFGR#149	8640669
-1997	UNITED ST1	MFGR#141	10152087
-1997	UNITED ST1	MFGR#1410	32583300
-1997	UNITED ST1	MFGR#1411	15690352
-1997	UNITED ST1	MFGR#1412	16671403
-1997	UNITED ST1	MFGR#1413	4942775
-1997	UNITED ST1	MFGR#1414	9391597
-1997	UNITED ST1	MFGR#1415	26937296
-1997	UNITED ST1	MFGR#1416	25782871
-1997	UNITED ST1	MFGR#1417	23349641
-1997	UNITED ST1	MFGR#1418	10934620
-1997	UNITED ST1	MFGR#1419	22673030
-1997	UNITED ST1	MFGR#142	14048276
-1997	UNITED ST1	MFGR#1420	18100795
-1997	UNITED ST1	MFGR#1421	25405678
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-1997	UNITED ST1	MFGR#1424	4131923
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-1997	UNITED ST1	MFGR#1426	22314044
-1997	UNITED ST1	MFGR#1427	13635057
-1997	UNITED ST1	MFGR#1428	17735811
-1997	UNITED ST1	MFGR#1429	28740911
-1997	UNITED ST1	MFGR#143	27418033
-1997	UNITED ST1	MFGR#1430	18655292
-1997	UNITED ST1	MFGR#1431	11074399
-1997	UNITED ST1	MFGR#1432	7490170
-1997	UNITED ST1	MFGR#1433	28997266
-1997	UNITED ST1	MFGR#1434	4612211
-1997	UNITED ST1	MFGR#1435	16327124
-1997	UNITED ST1	MFGR#1436	17409665
-1997	UNITED ST1	MFGR#1437	33391635
-1997	UNITED ST1	MFGR#1438	37321134
-1997	UNITED ST1	MFGR#1439	10279941
-1997	UNITED ST1	MFGR#144	12304723
-1997	UNITED ST1	MFGR#1440	28921230
-1997	UNITED ST1	MFGR#145	17933684
-1997	UNITED ST1	MFGR#146	8709103
-1997	UNITED ST1	MFGR#147	20145983
-1997	UNITED ST1	MFGR#148	16940400
-1997	UNITED ST1	MFGR#149	10284949
-1997	UNITED ST2	MFGR#1412	6328240
-1997	UNITED ST2	MFGR#1415	5022682
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-1997	UNITED ST2	MFGR#1417	5284444
-1997	UNITED ST2	MFGR#1418	2649908
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-1997	UNITED ST2	MFGR#1423	4095190
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-1997	UNITED ST2	MFGR#143	2859829
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-1997	UNITED ST2	MFGR#1433	10531371
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-1997	UNITED ST2	MFGR#1436	6538508
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-1997	UNITED ST3	MFGR#1416	25289630
-1997	UNITED ST3	MFGR#1417	5524810
-1997	UNITED ST3	MFGR#1419	3616608
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-1997	UNITED ST3	MFGR#1423	10285142
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-1997	UNITED ST3	MFGR#1430	20105292
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-1997	UNITED ST3	MFGR#1432	15779247
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-1997	UNITED ST3	MFGR#1435	25486899
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-1997	UNITED ST3	MFGR#1437	11249180
-1997	UNITED ST3	MFGR#1438	4156824
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-1997	UNITED ST3	MFGR#1440	22920494
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-1997	UNITED ST4	MFGR#1413	22581282
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-1997	UNITED ST4	MFGR#1415	8877444
-1997	UNITED ST4	MFGR#1416	17943398
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-1997	UNITED ST4	MFGR#1419	683069
-1997	UNITED ST4	MFGR#142	23512944
-1997	UNITED ST4	MFGR#1420	27954262
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-1997	UNITED ST4	MFGR#1423	20410710
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-1997	UNITED ST5	MFGR#1417	11786246
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-1997	UNITED ST5	MFGR#1427	6149737
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-1997	UNITED ST5	MFGR#143	6712572
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-1997	UNITED ST6	MFGR#1413	14686752
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q01.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q01.out
deleted file mode 100644
index 217ac6ead1..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q01.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q01 --
-AAAAAAAAAAABBAAA
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q02.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q02.out
deleted file mode 100644
index 6376ae7a4c..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q02.out
+++ /dev/null
@@ -1,2516 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q02 --
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-5321	0.96	1.05	0.90	1.28	0.92	1.01	1.07
-5322	5.60	4.31	0.98	1.94	1.74	6.27	5.35
-5322	5.60	4.31	0.98	1.94	1.74	6.27	5.35
-5322	5.60	4.31	0.98	1.94	1.74	6.27	5.35
-5322	5.60	4.31	0.98	1.94	1.74	6.27	5.35
-5322	5.60	4.31	0.98	1.94	1.74	6.27	5.35
-5322	5.60	4.31	0.98	1.94	1.74	6.27	5.35
-5322	5.60	4.31	0.98	1.94	1.74	6.27	5.35
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q03.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q03.out
deleted file mode 100644
index 69671c6a98..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q03.out
+++ /dev/null
@@ -1,92 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q03 --
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-1998	7003009	exportibrand #9	11669.32
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-1999	2001001	amalgimporto #1	46294.06
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-1999	1003001	exportiamalg #1	28354.52
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-2000	3001002	amalgexporti #2	32059.56
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-2000	1001002	amalgamalg #2	19888.62
-2000	10001002	amalgunivamalg #2	19325.34
-2000	3001001	amalgexporti #1	19261.58
-2000	10008017	namelessunivamalg #17	17207.60
-2000	5003002	exportischolar #2	16365.82
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-2000	7003009	exportibrand #9	11347.80
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q04.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q04.out
deleted file mode 100644
index c31944aa5e..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q04.out
+++ /dev/null
@@ -1,11 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q04 --
-AAAAAAAABIJBAAAA	James	White	N
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-AAAAAAAAIJCIBAAA	Thomas	Oneal	Y
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q05.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q05.out
deleted file mode 100644
index f6dda04eec..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q05.out
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q06.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q06.out
deleted file mode 100644
index 54ad91363c..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q06.out
+++ /dev/null
@@ -1,48 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q06 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q07.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q07.out
deleted file mode 100644
index 91086878d8..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q07.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q07 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q08.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q08.out
deleted file mode 100644
index e97213795a..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q08.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q08 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q09.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q09.out
deleted file mode 100644
index 000b582e28..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q09.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q09 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q11.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q11.out
deleted file mode 100644
index 1a969eb886..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q11.out
+++ /dev/null
@@ -1,90 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q11 --
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-AAAAAAAAKJBLAAAA	Kerry	Davis	Y	AFGHANISTAN	
-AAAAAAAAKKGEAAAA	Katie	Dunbar	N	NETHERLANDS	
-AAAAAAAAKLHHBAAA	Manuel	Castaneda	N	SAMOA	
-AAAAAAAAKNAKAAAA	Gladys	Banks	N	WESTERN SAHARA	
-AAAAAAAALFKKAAAA	Ignacio	Miller	Y	UNITED KINGDOM	
-AAAAAAAALHMCAAAA	Brooke	Nelson	Y	SPAIN	
-AAAAAAAALIOPAAAA	Derek	Allen	Y	NICARAGUA	
-AAAAAAAALJNCBAAA	George	Gamez	Y	AZERBAIJAN	
-AAAAAAAAMDCAAAAA	Louann	Hamel	Y	TIMOR-LESTE	
-AAAAAAAAMFFLAAAA	Margret	Gray	Y	NEW ZEALAND	
-AAAAAAAAMMOBBAAA	Margaret	Smith	N	JAPAN	
-AAAAAAAANFBDBAAA	Vernice	Fernandez	Y	SWEDEN	
-AAAAAAAANGDBBAAA	Carlos	Jewell	N	ISLE OF MAN	
-AAAAAAAANIPLAAAA	Eric	Lawrence	Y	HONDURAS	
-AAAAAAAANJAGAAAA	Allen	Hood	Y	TOGO	
-AAAAAAAANJHCBAAA	Christopher	Schreiber	N	UZBEKISTAN	
-AAAAAAAANJOLAAAA	Debra	Underwood	Y	BOTSWANA	
-AAAAAAAAOBADBAAA	Elizabeth	Burnham	N	HONDURAS	
-AAAAAAAAOCAJAAAA	Jenna	Staton	N	GIBRALTAR	
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-AAAAAAAAODMMAAAA	Gayla	Cline	N	ETHIOPIA	
-AAAAAAAAOFLCAAAA	James	Taylor	N	BANGLADESH	
-AAAAAAAAPDFBAAAA	Terrance	Banks	Y	SLOVENIA	
-AAAAAAAAPEHEBAAA	Edith	Molina	Y	GREENLAND	
-AAAAAAAAPFCLAAAA	Felicia	Neville	N	NEPAL	
-AAAAAAAAPICEAAAA	Jennifer	Cortez	Y	NEW CALEDONIA	
-AAAAAAAAPJENAAAA	Ashley	Norton	Y	IRAQ	
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-AAAAAAAAPKIKAAAA	Wendy	Horvath	Y	MADAGASCAR	
-AAAAAAAAPMMBBAAA	Paul	Jordan	N	JORDAN	
-AAAAAAAAPPIBBAAA	Candice	Lee	Y	SWEDEN	
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q12.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q12.out
deleted file mode 100644
index 480c5eddf0..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q12.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q12 --
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-AAAAAAAALCDAAAAA	Clearly actual places would supply apparently only rats.	Books	computers	4.34	4611.20	5.52
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q13.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q13.out
deleted file mode 100644
index c65e2338b2..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q13.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q13 --
-31.0	2551.8633	2365.9433	14195.66
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q14_1.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q14_1.out
deleted file mode 100644
index 358c5bb00d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q14_1.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q14_1 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q14_2.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q14_2.out
deleted file mode 100644
index 6cc745243b..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q14_2.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q14_2 --
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q15.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q15.out
deleted file mode 100644
index d482ecf405..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q15.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q15 --
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q16.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q16.out
deleted file mode 100644
index 94a6ca2030..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q16.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q16 --
-236	1062963.89	-214910.61
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q17.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q17.out
deleted file mode 100644
index e5c92af330..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q17.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q17 --
-AAAAAAAAKPFEAAAA	Recently right	TN	1	99.0	\N	\N	1	66.0	\N	\N	1	32.0	\N	\N
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q18.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q18.out
deleted file mode 100644
index 8bac605917..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q18.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q18 --
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-AAAAAAAAAJAEAAAA	\N	\N	\N	56.0000	84.8500	0.0000	6.7800	-2990.4000	1975.0000	4.0000
-AAAAAAAAAJCCAAAA	\N	\N	\N	20.0000	109.9900	0.0000	38.4900	-859.8000	1952.0000	4.0000
-AAAAAAAAAJGBAAAA	\N	\N	\N	23.0000	249.2900	0.0000	132.1200	1068.3500	1968.0000	2.0000
-AAAAAAAAAJJBAAAA	\N	\N	\N	49.0000	42.4200	0.0000	1.6900	-1275.9600	1964.0000	0.0000
-AAAAAAAAAJLDAAAA	\N	\N	\N	83.0000	76.1700	0.0000	6.0900	-5754.3900	1948.0000	6.0000
-AAAAAAAAAKAAAAAA	\N	\N	\N	51.0000	121.1700	0.0000	78.7600	-736.9500	1959.0000	6.0000
-AAAAAAAAAKECAAAA	\N	\N	\N	87.0000	101.3600	0.0000	67.9100	1825.2600	1986.0000	4.0000
-AAAAAAAAAKJBAAAA	\N	\N	\N	2.0000	235.6900	0.0000	77.7700	-9.8600	1962.0000	0.0000
-AAAAAAAAAKJDAAAA	\N	\N	\N	96.0000	254.8300	0.0000	188.5700	9488.6400	1946.0000	2.0000
-AAAAAAAAAKKCAAAA	\N	\N	\N	85.0000	253.5600	0.0000	202.8400	9783.5000	1967.0000	0.0000
-AAAAAAAAAKLCAAAA	\N	\N	\N	75.0000	5.0300	0.0000	4.9700	198.7500	1973.0000	0.0000
-AAAAAAAAALBCAAAA	\N	\N	\N	3.0000	43.1800	0.0000	5.1800	-39.1200	1963.0000	5.0000
-AAAAAAAAALCBAAAA	\N	\N	\N	61.0000	80.1600	0.0000	26.4500	-1646.3900	1975.0000	4.0000
-AAAAAAAAALCDAAAA	\N	\N	\N	4.0000	129.6100	0.0000	110.1600	149.3600	1991.0000	0.0000
-AAAAAAAAALIAAAAA	\N	\N	\N	55.0000	153.1800	0.0000	137.8600	2740.1000	1928.0000	3.0000
-AAAAAAAAALIBAAAA	\N	\N	\N	53.0000	170.4200	3689.4700	161.8900	-45.1900	1985.0000	2.0000
-AAAAAAAAALMAAAAA	\N	\N	\N	89.0000	59.2600	0.0000	18.3700	-865.0800	1959.0000	6.0000
-AAAAAAAAALMCAAAA	\N	\N	\N	96.0000	226.9600	0.0000	11.3400	-6693.1200	1934.0000	4.0000
-AAAAAAAAALMDAAAA	\N	\N	\N	26.0000	128.6400	0.0000	60.4600	-125.8400	1984.0000	2.0000
-AAAAAAAAALNCAAAA	\N	\N	\N	77.0000	27.8900	0.0000	9.7600	-224.8400	1946.0000	5.0000
-AAAAAAAAALOBAAAA	\N	\N	\N	81.5000	70.7250	0.0000	53.5200	118.4100	1966.0000	1.5000
-AAAAAAAAAMBBAAAA	\N	\N	\N	83.0000	136.5700	0.0000	45.0600	-4077.7900	1957.0000	2.0000
-AAAAAAAAAMEBAAAA	\N	\N	\N	67.0000	9.5000	0.0000	3.2300	-100.5000	1945.0000	1.0000
-AAAAAAAAAMFAAAAA	\N	\N	\N	56.0000	215.1600	0.0000	36.5700	-3404.2400	1986.0000	2.0000
-AAAAAAAAAMNDAAAA	\N	\N	\N	70.0000	101.2700	4284.8800	65.8200	-4341.5800	1932.0000	5.0000
-AAAAAAAAANBDAAAA	\N	\N	\N	75.0000	114.9600	1282.9300	27.5900	-6711.4300	1925.0000	5.0000
-AAAAAAAAANDDAAAA	\N	\N	\N	50.0000	222.8800	0.0000	2.2200	-4494.0000	1948.0000	1.0000
-AAAAAAAAANECAAAA	\N	\N	\N	93.0000	53.4200	0.0000	47.5400	-54.8700	1979.0000	5.0000
-AAAAAAAAANFEAAAA	\N	\N	\N	25.0000	151.7750	116.2800	65.9550	-1264.8300	1930.5000	2.5000
-AAAAAAAAANGDAAAA	\N	\N	\N	60.0000	79.6000	0.0000	44.5700	-1028.4000	1941.0000	1.0000
-AAAAAAAAANIBAAAA	\N	\N	\N	72.0000	47.9200	0.0000	39.2900	1560.2400	1933.0000	3.0000
-AAAAAAAAAOCAAAAA	\N	\N	\N	30.0000	64.9800	0.0000	44.1800	-415.2000	1964.0000	0.0000
-AAAAAAAAAODAAAAA	\N	\N	\N	76.0000	66.9800	0.0000	5.3500	-1437.9200	1959.0000	3.0000
-AAAAAAAAAOFDAAAA	\N	\N	\N	87.0000	28.7100	0.0000	27.8400	1472.0400	1968.0000	6.0000
-AAAAAAAAAOMCAAAA	\N	\N	\N	8.0000	112.6400	0.0000	36.0400	-509.2000	1973.0000	4.0000
-AAAAAAAAAPBEAAAA	\N	\N	\N	22.0000	143.8900	664.7500	50.3600	-1397.3500	1925.0000	0.0000
-AAAAAAAAAPEDAAAA	\N	\N	\N	90.0000	72.9400	0.0000	17.5000	-3554.1000	1928.0000	3.0000
-AAAAAAAAAPFAAAAA	\N	\N	\N	52.0000	117.6700	0.0000	77.6600	1354.6000	1977.0000	2.0000
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q19.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q19.out
deleted file mode 100644
index df318c4b28..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q19.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q19 --
-3001001	amalgexporti #1	358	eingantipri	41146.94
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-5002002	importoscholar #2	503	pribaranti	38877.55
-2002001	importoimporto #1	229	n stableable	38872.13
-6009001	maxicorp #1	609	n stbarcally	37679.02
-5002001	importoscholar #1	442	ableeseese	36889.22
-10012003	importoamalgamalg #3	68	eingcally	36856.35
-5003002	exportischolar #2	50	baranti	35402.74
-4002002	importoedu pack #2	615	antioughtcally	34673.98
-3002002	importoexporti #2	581	oughteinganti	34669.00
-5003001	exportischolar #1	224	eseableable	34541.38
-5004002	edu packscholar #2	168	eingcallyought	33004.86
-4001001	amalgedu pack #1	379	n stationpri	32777.45
-7009009	maxibrand #9	10	barought	32448.47
-8001009	amalgnameless #9	21	oughtable	32020.26
-1003001	exportiamalg #1	162	ablecallyought	31531.85
-10011013	amalgamalgamalg #13	551	oughtantianti	30259.44
-5001002	amalgscholar #2	124	eseableought	30243.37
-9004003	edu packmaxi #3	191	oughtn stought	29977.55
-3002002	importoexporti #2	597	ationn stanti	29964.46
-7001002	amalgbrand #2	122	ableableought	29576.48
-10013006	exportiamalgamalg #6	461	oughtcallyese	29475.71
-7013001	exportinameless #1	18	eingought	29409.51
-7008009	namelessbrand #9	540	bareseanti	28888.95
-5004001	edu packscholar #1	361	oughtcallypri	28656.02
-5003001	exportischolar #1	457	ationantiese	28560.52
-7014001	edu packnameless #1	23	priable	28408.56
-5001001	amalgscholar #1	192	ablen stought	28136.83
-8007009	brandnameless #9	34	esepri	28006.46
-6010003	univbrand #3	165	anticallyought	27826.40
-4002001	importoedu pack #1	96	callyn st	27785.50
-4003001	exportiedu pack #1	30	barpri	27681.74
-1002002	importoamalg #2	504	esebaranti	27540.55
-9009011	maximaxi #11	117	ationoughtought	26149.58
-10012006	importoamalgamalg #6	162	ablecallyought	25077.80
-5002001	importoscholar #1	202	ablebarable	24662.36
-5004002	edu packscholar #2	427	ationableese	24502.14
-8009007	maxinameless #7	146	callyeseought	24020.70
-7002005	importobrand #5	822	ableableeing	23637.35
-4001001	amalgedu pack #1	236	callypriable	23425.22
-3002001	importoexporti #1	889	n steingeing	23327.10
-4001001	amalgedu pack #1	106	callybarought	23272.95
-9004011	edu packmaxi #11	241	oughteseable	23233.46
-6011005	amalgbrand #5	373	priationpri	22935.30
-5004001	edu packscholar #1	191	oughtn stought	22767.49
-10003001	exportiunivamalg #1	252	ableantiable	22605.56
-2002001	importoimporto #1	265	anticallyable	22316.14
-2004001	edu packimporto #1	584	eseeinganti	22312.87
-4004002	edu packedu pack #2	293	prin stable	22272.04
-1003002	exportiamalg #2	400	barbarese	22200.21
-9011008	amalgunivamalg #8	93	prin st	22103.70
-8011002	amalgmaxi #2	293	prin stable	21784.46
-8006008	corpnameless #8	605	antibarcally	21599.44
-9016003	corpunivamalg #3	51	oughtanti	21135.21
-5003002	exportischolar #2	162	ablecallyought	21110.51
-3002001	importoexporti #1	176	callyationought	20741.06
-10011002	amalgamalgamalg #2	112	ableoughtought	20652.72
-2001001	amalgimporto #1	219	n stoughtable	20647.28
-2002001	importoimporto #1	100	barbarought	20543.92
-4004001	edu packedu pack #1	718	eingoughtation	20488.80
-8014009	edu packmaxi #9	214	eseoughtable	20379.43
-8012001	importomaxi #1	277	ationationable	20343.98
-10010013	univamalgamalg #13	656	callyantically	20274.67
-4003001	exportiedu pack #1	640	baresecally	20218.12
-1001001	amalgamalg #1	257	ationantiable	19957.37
-2002001	importoimporto #1	525	antiableanti	19888.38
-4002001	importoedu pack #1	101	oughtbarought	18892.36
-9012003	importounivamalg #3	818	eingoughteing	18832.74
-2004002	edu packimporto #2	912	ableoughtn st	18673.17
-10001014	amalgunivamalg #14	207	ationbarable	18623.57
-4004001	edu packedu pack #1	257	ationantiable	18605.21
-1004001	edu packamalg #1	675	antiationcally	18349.99
-1002002	importoamalg #2	50	baranti	18142.46
-4003002	exportiedu pack #2	117	ationoughtought	18063.44
-1004001	edu packamalg #1	380	bareingpri	17896.97
-1001001	amalgamalg #1	346	callyesepri	17660.98
-4003002	exportiedu pack #2	28	eingable	17496.00
-6005006	scholarcorp #6	270	barationable	17373.47
-8012007	importomaxi #7	320	barablepri	17247.22
-1004001	edu packamalg #1	594	esen stanti	17217.04
-10001009	amalgunivamalg #9	414	eseoughtese	17196.10
-1003002	exportiamalg #2	483	prieingese	17180.13
-10010005	univamalgamalg #5	684	eseeingcally	17146.97
-6004005	edu packcorp #5	224	eseableable	17081.31
-2003001	exportiimporto #1	288	eingeingable	17031.57
-2002001	importoimporto #1	134	esepriought	16596.84
-8014007	edu packmaxi #7	350	barantipri	16580.66
-6007007	brandcorp #7	47	ationese	16413.40
-1002001	importoamalg #1	184	eseeingought	15985.73
-1002002	importoamalg #2	489	n steingese	15707.42
-6013003	exportibrand #3	16	callyought	15594.16
-9005009	scholarmaxi #9	255	antiantiable	15448.62
-10008005	namelessunivamalg #5	813	prioughteing	15433.53
-10004013	edu packunivamalg #13	764	esecallyation	15242.69
-10006012	corpunivamalg #12	166	callycallyought	15153.42
-1004001	edu packamalg #1	222	ableableable	15030.20
-8003003	exportinameless #3	85	antieing	14918.95
-5004001	edu packscholar #1	595	antin stanti	14910.27
-4003001	exportiedu pack #1	239	n stpriable	14778.52
-6006001	corpcorp #1	258	eingantiable	14579.72
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q20.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q20.out
deleted file mode 100644
index 0e20ecb439..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q20.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q20 --
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-AAAAAAAAMKNDAAAA	Special, clear elements would buy at a games. Things should spot today strange, only devices. Armies should like at a patients. Hands could perform simply narrow values. N	Books	business	1.28	1069.76	0.68
-AAAAAAAANACBAAAA	New teachers might demand never assets. Deeply bright ministers make generally never prime imports. Odd writings step common readers; talks take young, r	Books	business	2.95	3975.16	2.53
-AAAAAAAAPDNAAAAA	Local, unlikely bits sign completely. Areas feel only manufacturing legs. Amounts must go personal, very things; areas could take clo	Books	business	5.20	3545.37	2.25
-AAAAAAAAPEKCAAAA	Alone countries must use so old, international functions. Only public cases see in a words. Normal methods forget even communist changes; technical numbers convert either natu	Books	business	4.67	3899.62	2.48
-AAAAAAAAPGDBAAAA	Certainly remaining flowers can wonder then just significant papers; places secure below as a bombs. Other, domestic members must allow very polite thi	Books	business	0.60	12462.77	7.94
-AAAAAAAAPHJAAAAA	Possibly great customs suit close looks. Capable, frequent processes shall pass possible dangers; hard, private words act measures. Mysterious, acceptable fac	Books	business	6.64	6141.24	3.91
-AAAAAAAAAALDAAAA	Forward liable funds may not end from time to time local, domestic chiefs. Major, well-known newspapers can regain together new, white conclusions. Very vital employees can draw	Books	computers	17.54	588.01	0.31
-AAAAAAAAAHKDAAAA	Decisions play actually exclusive activities. Well assistant e	Books	computers	8.77	1619.66	0.85
-AAAAAAAAAKGDAAAA	Tonnes could use slowly off a servants. Initial letters must walk now companies; rapid, previous towns put here large, prime needs. Historical, negative grou	Books	computers	0.19	3319.10	1.75
-AAAAAAAAAOBCAAAA	Years should try in line with a conditions. Pp. spend well evenings. Other, afraid sides speculate at a years. Options ought to know leading, app	Books	computers	5.23	8468.08	4.47
-AAAAAAAABHEEAAAA	Subjects may remain officials. Forward, straight objects used to see wh	Books	computers	6.97	13658.40	7.22
-AAAAAAAABLMBAAAA	External improvements effect so tough words. Great roads cause quickly popular, black stories. Clearly white members might ask enough details. Min	Books	computers	31.74	4154.04	2.19
-AAAAAAAACHOCAAAA	Final governm	Books	computers	6.22	5102.98	2.69
-AAAAAAAACOHDAAAA	Left, important sports shall get on an specialists. Overall, e	Books	computers	3.56	14321.37	7.57
-AAAAAAAAEANCAAAA	Ye	Books	computers	9.75	1367.76	0.72
-AAAAAAAAEAPAAAAA	Just distinct children think individuals; popular arguments develop here cautious methods; appropriate children might beat. Proper, empirical hundreds fall oth	Books	computers	4.01	328.50	0.17
-AAAAAAAAEDMAAAAA	Books understand. Principles produce just at a premises. Years 	Books	computers	44.48	188.86	0.09
-AAAAAAAAFEEAAAAA	Capital, united feelings paint only things. Greatly financial economies should not pay somewhere soviet necessary armies; educational concepts mus	Books	computers	3.83	812.19	0.42
-AAAAAAAAFLFEAAAA	Social weeks may hope. However parental objects shall get just potential logical stations. Agreements attend on a arms; circa real reforms may interpret dogs. T	Books	computers	2.06	449.61	0.23
-AAAAAAAAGENAAAAA	Genera	Books	computers	2.84	950.58	0.50
-AAAAAAAAGHCBAAAA	Hundreds would meet regardless german, foreign scien	Books	computers	9.77	1969.60	1.04
-AAAAAAAAGNGBAAAA	Brilliant, massive prisons take still national others. Only northern guidelines go right by the lips. General, spiritual walls shall reach in a languages. British nations eat substantial polici	Books	computers	3.42	377.26	0.19
-AAAAAAAAHPADAAAA	Used, young sizes take requirements. Electoral, standard stones worry still private scenes. Major, still bedrooms say all once effective years. Long new moments will own after the	Books	computers	9.19	690.90	0.36
-AAAAAAAAIAMAAAAA	Alone walls mus	Books	computers	2.00	4530.16	2.39
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q21.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q21.out
deleted file mode 100644
index b823257a08..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q21.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q21 --
-	AAAAAAAAAABDAAAA	2565	1922
-	AAAAAAAAAAHDAAAA	2956	2052
-	AAAAAAAAAALAAAAA	2042	1793
-	AAAAAAAAABDAAAAA	3340	2626
-	AAAAAAAAACGCAAAA	2373	1771
-	AAAAAAAAACKCAAAA	2321	1856
-	AAAAAAAAACOBAAAA	1504	1397
-	AAAAAAAAADKBAAAA	1820	2163
-	AAAAAAAAAEADAAAA	2631	1965
-	AAAAAAAAAEOCAAAA	1659	1798
-	AAAAAAAAAFACAAAA	1965	1705
-	AAAAAAAAAFADAAAA	1769	1313
-	AAAAAAAAAHDEAAAA	2700	1985
-	AAAAAAAAAHHAAAAA	1578	1082
-	AAAAAAAAAIECAAAA	1756	1804
-	AAAAAAAAAIMCAAAA	3603	2951
-	AAAAAAAAAJACAAAA	2109	1989
-	AAAAAAAAAJKBAAAA	2573	3540
-	AAAAAAAAALBEAAAA	3458	2992
-	AAAAAAAAALCEAAAA	1720	1810
-	AAAAAAAAALECAAAA	2569	1946
-	AAAAAAAAALNBAAAA	2552	1750
-	AAAAAAAAANFEAAAA	2022	2269
-	AAAAAAAAAOBBAAAA	1603	1592
-	AAAAAAAAAOIBAAAA	2982	2540
-	AAAAAAAAAPJBAAAA	2344	2593
-	AAAAAAAABAPDAAAA	2182	2787
-	AAAAAAAABDCEAAAA	2844	2069
-	AAAAAAAABDDDAAAA	2417	2537
-	AAAAAAAABDJAAAAA	1584	1666
-	AAAAAAAABEODAAAA	2141	2649
-	AAAAAAAABFCCAAAA	2745	2020
-	AAAAAAAABFMBAAAA	1642	1364
-	AAAAAAAABHPCAAAA	1923	1780
-	AAAAAAAABIDBAAAA	1956	2836
-	AAAAAAAABIGBAAAA	2023	2344
-	AAAAAAAABIJBAAAA	1977	2728
-	AAAAAAAABJFEAAAA	1891	2390
-	AAAAAAAABLDEAAAA	1983	1797
-	AAAAAAAABNIDAAAA	2485	2324
-	AAAAAAAABNLDAAAA	2385	2786
-	AAAAAAAABOMBAAAA	2291	2092
-	AAAAAAAACAAAAAAA	2233	2560
-	AAAAAAAACBCDAAAA	1540	2012
-	AAAAAAAACBIAAAAA	2394	2122
-	AAAAAAAACBPBAAAA	1790	1661
-	AAAAAAAACCMDAAAA	2654	2691
-	AAAAAAAACDBCAAAA	1804	2072
-	AAAAAAAACFEAAAAA	1941	1567
-	AAAAAAAACFHDAAAA	1696	1147
-	AAAAAAAACGFDAAAA	2123	2265
-	AAAAAAAACHPCAAAA	2933	2174
-	AAAAAAAACIGDAAAA	2618	2399
-	AAAAAAAACJCBAAAA	2728	2367
-	AAAAAAAACJLAAAAA	1350	1732
-	AAAAAAAACLAEAAAA	2578	2329
-	AAAAAAAACLGAAAAA	1842	1588
-	AAAAAAAACLLBAAAA	3418	2657
-	AAAAAAAACLOBAAAA	3115	2560
-	AAAAAAAACMADAAAA	1991	2243
-	AAAAAAAACMJAAAAA	1261	1855
-	AAAAAAAACMLAAAAA	3288	2753
-	AAAAAAAACMPDAAAA	1320	1676
-	AAAAAAAACNGBAAAA	2340	2118
-	AAAAAAAACNHDAAAA	3519	3348
-	AAAAAAAACNPCAAAA	2561	1948
-	AAAAAAAADCPCAAAA	2664	2627
-	AAAAAAAADDHAAAAA	1313	1926
-	AAAAAAAADDNDAAAA	1109	835
-	AAAAAAAADEAAAAAA	2141	1847
-	AAAAAAAADEJAAAAA	3142	2723
-	AAAAAAAADFKBAAAA	1470	1650
-	AAAAAAAADGCCAAAA	2113	2331
-	AAAAAAAADGFCAAAA	2201	2928
-	AAAAAAAADHPAAAAA	2467	2133
-	AAAAAAAADMBAAAAA	3085	2087
-	AAAAAAAADPABAAAA	3494	3081
-	AAAAAAAAEAECAAAA	2133	2148
-	AAAAAAAAEAPAAAAA	1560	1275
-	AAAAAAAAECGCAAAA	2815	3307
-	AAAAAAAAEDPDAAAA	2731	1883
-	AAAAAAAAEEECAAAA	2024	1902
-	AAAAAAAAEEMCAAAA	2624	2387
-	AAAAAAAAEFFAAAAA	2047	1878
-	AAAAAAAAEGJAAAAA	2403	2633
-	AAAAAAAAEGMAAAAA	2784	2772
-	AAAAAAAAEGOCAAAA	2389	1753
-	AAAAAAAAEHFDAAAA	1940	1420
-	AAAAAAAAEHLBAAAA	2320	2057
-	AAAAAAAAEHPAAAAA	1898	1853
-	AAAAAAAAEIPBAAAA	2930	2326
-	AAAAAAAAEJAEAAAA	2582	1836
-	AAAAAAAAEJIBAAAA	2257	1681
-	AAAAAAAAEJJAAAAA	2791	1941
-	AAAAAAAAEJJDAAAA	3410	2405
-	AAAAAAAAEJNCAAAA	2472	2067
-	AAAAAAAAEJPDAAAA	1219	1229
-	AAAAAAAAEKEBAAAA	2047	1713
-	AAAAAAAAEMEAAAAA	2502	1897
-	AAAAAAAAEMKCAAAA	2362	2042
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q22.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q22.out
deleted file mode 100644
index 3546e63990..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q22.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q22 --
-ationbarn station	\N	\N	\N	430.3577235772358
-ationbarn station	amalgbrand #8	\N	\N	430.3577235772358
-ationbarn station	amalgbrand #8	bathroom	\N	430.3577235772358
-ationbarn station	amalgbrand #8	bathroom	Home	430.3577235772358
-ationoughtn stn st	\N	\N	\N	435.26506024096386
-ationoughtn stn st	edu packimporto #2	\N	\N	435.26506024096386
-ationoughtn stn st	edu packimporto #2	sports-apparel	\N	435.26506024096386
-ationoughtn stn st	edu packimporto #2	sports-apparel	Men	435.26506024096386
-ationationprin st	\N	\N	\N	435.5102880658436
-ationationprin st	amalgexporti #2	\N	\N	435.5102880658436
-ationationprin st	amalgexporti #2	newborn	\N	435.5102880658436
-ationationprin st	amalgexporti #2	newborn	Children	435.5102880658436
-oughtcallyn stantiought	\N	\N	\N	436.49402390438246
-oughtcallyn stantiought	corpcorp #2	\N	\N	436.49402390438246
-oughtcallyn stantiought	corpcorp #2	rings	\N	436.49402390438246
-oughtcallyn stantiought	corpcorp #2	rings	Jewelry	436.49402390438246
-callyesebaration	\N	\N	\N	437.3943089430894
-callyesebaration	namelesscorp #7	\N	\N	437.3943089430894
-callyesebaration	namelesscorp #7	mens watch	\N	437.3943089430894
-callyesebaration	namelesscorp #7	mens watch	Jewelry	437.3943089430894
-n stprieingationought	\N	\N	\N	439.06477732793525
-n stprieingationought	namelesscorp #8	\N	\N	439.06477732793525
-n stprieingationought	namelesscorp #8	mens watch	\N	439.06477732793525
-n stprieingationought	namelesscorp #8	mens watch	Jewelry	439.06477732793525
-priationn stn st	\N	\N	\N	439.096
-priationn stn st	importoscholar #2	\N	\N	439.096
-priationn stn st	importoscholar #2	country	\N	439.096
-priationn stn st	importoscholar #2	country	Music	439.096
-n stcallyableoughtought	\N	\N	\N	439.71836734693875
-n stcallyableoughtought	amalgimporto #2	\N	\N	439.71836734693875
-n stcallyableoughtought	amalgimporto #2	accessories	\N	439.71836734693875
-n stcallyableoughtought	amalgimporto #2	accessories	Men	439.71836734693875
-n stbarought	\N	\N	\N	440.31474103585657
-n stbarought	corpbrand #10	\N	\N	440.31474103585657
-n stbarought	corpbrand #10	rugs	\N	440.31474103585657
-n stbarought	corpbrand #10	rugs	Home	440.31474103585657
-n stn stantioughtought	\N	\N	\N	440.92857142857144
-n stn stantioughtought	exportimaxi #8	\N	\N	440.92857142857144
-n stn stantioughtought	exportimaxi #8	computers	\N	440.92857142857144
-n stn stantioughtought	exportimaxi #8	computers	Books	440.92857142857144
-n stcallyesepriought	\N	\N	\N	441.54183266932273
-n stcallyesepriought	edu packscholar #2	\N	\N	441.54183266932273
-n stcallyesepriought	edu packscholar #2	classical	\N	441.54183266932273
-n stcallyesepriought	edu packscholar #2	classical	Music	441.54183266932273
-priantiationation	\N	\N	\N	441.6707317073171
-priantiationation	importoimporto #2	\N	\N	441.6707317073171
-priantiationation	importoimporto #2	shirts	\N	441.6707317073171
-priantiationation	importoimporto #2	shirts	Men	441.6707317073171
-oughtbarantiese	\N	\N	\N	441.7459677419355
-oughtbarantiese	exportiedu pack #2	\N	\N	441.7459677419355
-oughtbarantiese	exportiedu pack #2	kids	\N	441.7459677419355
-oughtbarantiese	exportiedu pack #2	kids	Shoes	441.7459677419355
-oughtbarprin st	\N	\N	\N	442.0734693877551
-oughtbarprin st	edu packscholar #2	\N	\N	442.0734693877551
-oughtbarprin st	edu packscholar #2	classical	\N	442.0734693877551
-oughtbarprin st	edu packscholar #2	classical	Music	442.0734693877551
-ationeingation	\N	\N	\N	443.78225806451616
-ationeingation	amalgexporti #2	\N	\N	443.78225806451616
-ationeingation	amalgexporti #2	newborn	\N	443.78225806451616
-ationeingation	amalgexporti #2	newborn	Children	443.78225806451616
-ationbarn stableought	\N	\N	\N	444.09274193548384
-ationbarn stableought	corpbrand #8	\N	\N	444.09274193548384
-ationbarn stableought	corpbrand #8	rugs	\N	444.09274193548384
-ationbarn stableought	corpbrand #8	rugs	Home	444.09274193548384
-eseationcallyableought	\N	\N	\N	444.5443548387097
-eseationcallyableought	importoexporti #1	\N	\N	444.5443548387097
-eseationcallyableought	importoexporti #1	infants	\N	444.5443548387097
-eseationcallyableought	importoexporti #1	infants	Children	444.5443548387097
-eingableableationought	\N	\N	\N	444.7142857142857
-eingableableationought	amalgimporto #1	\N	\N	444.7142857142857
-eingableableationought	amalgimporto #1	accessories	\N	444.7142857142857
-eingableableationought	amalgimporto #1	accessories	Men	444.7142857142857
-n steseantiation	\N	\N	\N	445.33196721311475
-n steseantiation	univmaxi #10	\N	\N	445.33196721311475
-n steseantiation	univmaxi #10	pools	\N	445.33196721311475
-n steseantiation	univmaxi #10	pools	Sports	445.33196721311475
-antibareingantiought	\N	\N	\N	445.4065040650407
-antibareingantiought	importoimporto #2	\N	\N	445.4065040650407
-antibareingantiought	importoimporto #2	shirts	\N	445.4065040650407
-antibareingantiought	importoimporto #2	shirts	Men	445.4065040650407
-ationantibarationought	\N	\N	\N	445.4190871369295
-ationantibarationought	univmaxi #8	\N	\N	445.4190871369295
-ationantibarationought	univmaxi #8	pools	\N	445.4190871369295
-ationantibarationought	univmaxi #8	pools	Sports	445.4190871369295
-oughtpricallybarought	\N	\N	\N	445.4859437751004
-oughtpricallybarought	edu packexporti #2	\N	\N	445.4859437751004
-oughtpricallybarought	edu packexporti #2	school-uniforms	\N	445.4859437751004
-oughtpricallybarought	edu packexporti #2	school-uniforms	Children	445.4859437751004
-ableationprieing	\N	\N	\N	445.99583333333334
-ableationprieing	amalgamalg #1	\N	\N	445.99583333333334
-ableationprieing	amalgamalg #1	dresses	\N	445.99583333333334
-ableationprieing	amalgamalg #1	dresses	Women	445.99583333333334
-pribarpribarought	\N	\N	\N	446.0408163265306
-pribarpribarought	edu packimporto #2	\N	\N	446.0408163265306
-pribarpribarought	edu packimporto #2	sports-apparel	\N	446.0408163265306
-pribarpribarought	edu packimporto #2	sports-apparel	Men	446.0408163265306
-oughtn stprin st	\N	\N	\N	447.26666666666665
-oughtn stprin st	exportiamalgamalg #8	\N	\N	447.26666666666665
-oughtn stprin st	exportiamalgamalg #8	stereo	\N	447.26666666666665
-oughtn stprin st	exportiamalgamalg #8	stereo	Electronics	447.26666666666665
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q23_1.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q23_1.out
deleted file mode 100644
index aa0ee6e1c3..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q23_1.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q23_1 --
-17030.91
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q23_2.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q23_2.out
deleted file mode 100644
index c23bf5e7c6..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q23_2.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q23_2 --
-	Robert	598.86
-Brown	Monika	6031.52
-Collins	Gordon	727.57
-Green	Jesse	9672.96
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q24_1.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q24_1.out
deleted file mode 100644
index dcdea5db4a..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q24_1.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q24_1 --
-	Tommy	able	38118.08
-Holt	Curtis	able	8225.80
-Kunz	Lee	able	34631.52
-Littlefield	Clarence	able	127380.00
-Pettit	Richard	able	3930.52
-Townsend	Franklin	able	68983.20
-Winchester	Margaret	bar	14269.20
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q24_2.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q24_2.out
deleted file mode 100644
index dd055b62fe..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q24_2.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q24_2 --
-Griffith	Ray	able	161564.48
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q25.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q25.out
deleted file mode 100644
index 8970625e94..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q25.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q25 --
-AAAAAAAADPMBAAAA	Things know alone letters. Flights should tend even jewish fees. Civil plans could not cry also social days; other losses might not pay walls; still able signs should not remove too human 	AAAAAAAAHAAAAAAA	ation	12.84	91.41	-1329.46
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q26.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q26.out
deleted file mode 100644
index 38a5b82ba4..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q26.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q26 --
-AAAAAAAAAAAEAAAA	63.0	30.0100	0.0000	25.2900
-AAAAAAAAAABEAAAA	96.0	75.3400	0.0000	10.5400
-AAAAAAAAAACAAAAA	73.0	199.7700	0.0000	41.9500
-AAAAAAAAAACCAAAA	23.5	26.6200	110.9700	14.2000
-AAAAAAAAAADBAAAA	23.0	131.5600	0.0000	26.3100
-AAAAAAAAAADEAAAA	15.0	283.9100	0.0000	19.8700
-AAAAAAAAAAEAAAAA	71.0	176.7133	0.0000	142.6933
-AAAAAAAAAAEBAAAA	96.0	66.7400	1014.3900	16.0100
-AAAAAAAAAAFCAAAA	85.0	76.8100	143.6100	42.2400
-AAAAAAAAAAGEAAAA	47.0	136.9250	0.0000	95.2750
-AAAAAAAAAAHBAAAA	27.0	105.8400	0.0000	35.9800
-AAAAAAAAAAIDAAAA	78.33333333333333	126.3700	0.0000	61.9433
-AAAAAAAAAAJBAAAA	60.333333333333336	85.5966	23.2000	15.5000
-AAAAAAAAAAKDAAAA	21.0	84.4150	0.0000	26.8500
-AAAAAAAAAALCAAAA	20.0	62.7900	0.0000	48.9700
-AAAAAAAAAALDAAAA	49.0	73.1550	0.0000	21.0050
-AAAAAAAAAAMCAAAA	81.0	229.6200	15221.1700	202.0600
-AAAAAAAAAANAAAAA	42.0	79.9900	0.0000	76.7900
-AAAAAAAAAANDAAAA	94.0	27.9200	0.0000	1.6700
-AAAAAAAAAAOAAAAA	66.0	44.2950	25.8200	10.0550
-AAAAAAAAAAOCAAAA	34.333333333333336	84.4966	1133.9533	63.4300
-AAAAAAAAABABAAAA	45.0	79.8200	0.0000	67.8400
-AAAAAAAAABAEAAAA	1.0	171.5400	0.0000	49.7400
-AAAAAAAAABBAAAAA	8.0	279.0800	0.0000	55.8100
-AAAAAAAAABBCAAAA	56.0	45.9700	1286.3800	23.4400
-AAAAAAAAABBDAAAA	47.0	22.4400	0.0000	21.9900
-AAAAAAAAABCBAAAA	84.0	43.8700	0.0000	28.5100
-AAAAAAAAABEDAAAA	43.0	105.7700	668.4000	37.0100
-AAAAAAAAABFEAAAA	66.0	239.5500	0.0000	184.4500
-AAAAAAAAABJAAAAA	49.0	10.2400	0.0000	8.0800
-AAAAAAAAABKAAAAA	71.0	99.4200	0.0000	15.9000
-AAAAAAAAABLBAAAA	40.0	233.6000	0.0000	93.4400
-AAAAAAAAABOCAAAA	51.0	4.5500	0.0000	4.1400
-AAAAAAAAACCAAAAA	39.0	63.7450	22.2600	17.7850
-AAAAAAAAACDCAAAA	51.0	158.9750	1334.0700	124.7850
-AAAAAAAAACDDAAAA	85.5	75.7350	0.0000	36.2850
-AAAAAAAAACEEAAAA	38.0	78.6900	0.0000	19.6700
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q27.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q27.out
deleted file mode 100644
index 7dccc267cb..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q27.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q27 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q28.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q28.out
deleted file mode 100644
index 30c7dad02d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q28.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q28 --
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q29.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q29.out
deleted file mode 100644
index 4eee06efbd..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q29.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q29 --
-AAAAAAAABOKDAAAA	Immediate women sell. Slowly sure measures might ensure in order from a duties. Privately aware damages may compensate so for example previous letters	AAAAAAAABAAAAAAA	ought	99	81	22
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q30.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q30.out
deleted file mode 100644
index e6b9b2cc8b..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q30.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q30 --
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-AAAAAAAAEHGOAAAA	Miss	Jillian	Nelson	Y	27	7	1978	TURKMENISTAN		Jillian.Nelson@ph0qObqh3fbv.com	2452315	4432.69
-AAAAAAAAEHPNAAAA	Dr.	Rachael	King	Y	28	11	1927	PANAMA		Rachael.King@t8dA2klrEIBiCd.edu	2452438	2251.5
-AAAAAAAAEIDHAAAA	Sir	George	Garcia	Y	21	4	1960	CROATIA		George.Garcia@uzGHyYUnvs.edu	2452306	1783.12
-AAAAAAAAEIDHAAAA	Sir	George	Garcia	Y	21	4	1960	CROATIA		George.Garcia@uzGHyYUnvs.edu	2452306	1857.63
-AAAAAAAAEIOBBAAA	Mr.	Gary	Davis	N	9	6	1992	KYRGYZSTAN		Gary.Davis@GTXc2AbKvkM.edu	2452322	1652.7
-AAAAAAAAEJFNAAAA	Dr.	Chad	Baldwin	Y	11	11	1937	BULGARIA		Chad.Baldwin@cN988.org	2452560	11133.36
-AAAAAAAAEJOPAAAA	Dr.	Alexandra	Henderson	N	4	2	1986	MONTENEGRO		Alexandra.Henderson@4FCXABbkVkrLK.com	2452376	3426.36
-AAAAAAAAELEBAAAA	Mrs.	Dianne	Ross	Y	19	7	1949	ICELAND		Dianne.Ross@D4VH75e9n.org	2452429	4018.3
-AAAAAAAAEMDIBAAA	Sir	Scott	Obrien	Y	3	8	1926	JERSEY		Scott.Obrien@a84VTAJCTB.com	2452504	1456.67
-AAAAAAAAEMIAAAAA	Dr.	Danny	Ness	Y	25	10	1955	IRAQ		Danny.Ness@CC8vAp.edu	2452487	5569.5
-AAAAAAAAEMNGBAAA	Mr.	Milton	Oakley	Y	10	10	1976	FINLAND		Milton.Oakley@O4DHXT.com	2452355	1505.16
-AAAAAAAAEMPKAAAA	Sir	Gilbert	Palmer	N	23	10	1933	BRUNEI DARUSSALAM		Gilbert.Palmer@7UYjIOOIg0.org	2452463	2391.95
-AAAAAAAAENFLAAAA	Sir	Joseph	Gaffney	N	22	1	1967	BULGARIA		Joseph.Gaffney@nBDj.org	2452608	6135.48
-AAAAAAAAEPELAAAA	Dr.	Emily	Thomas	Y	14	3	1981	MOZAMBIQUE		Emily.Thomas@qtJnzLvYcK598T.edu	2452617	3239.04
-AAAAAAAAFBLHAAAA	Mr.	Carter	Lombardo	N	22	11	1950	MONACO		Carter.Lombardo@X.edu	2452582	3965.43
-AAAAAAAAFHODBAAA	Ms.	Diana	Hall	N	14	7	1934	LATVIA		Diana.Hall@Be.com	2452546	9391.76
-AAAAAAAAFLAJAAAA	Mr.	John	Hardy	Y	4	9	1977	ANGUILLA		John.Hardy@LnaYnyZ9AYee.edu	2452289	1640.8
-AAAAAAAAFLDFBAAA	Mr.	Demetrius	Hunt	N	30	8	1956	ZAMBIA		Demetrius.Hunt@J3.com	2452647	3673.6
-AAAAAAAAFMCFBAAA	Mrs.	Karen	Middleton	Y	21	10	1934	GUADELOUPE		Karen.Middleton@q.com	2452343	1415.7
-AAAAAAAAFMENAAAA	Ms.	Anne	Jernigan	Y	14	8	1952	ITALY		Anne.Jernigan@BBtNT7SneOEKG.edu	2452612	1735.14
-AAAAAAAAFMLEAAAA	Mr.	Gavin			21	\N	1933	BRAZIL		Gavin.Maples@AT6ClrGUc79.com	\N	4882.15
-AAAAAAAAFMPMAAAA	Sir	Jack	Thomas	Y	12	1	1971	ARMENIA		Jack.Thomas@dn0mBXIEu7XPH.com	2452409	2501.94
-AAAAAAAAFNHBBAAA	Miss	Jennifer	Long	Y	12	6	1984	VENEZUELA		Jennifer.Long@RyRC5oxxCoVPG.com	2452285	4430.88
-AAAAAAAAGAGEAAAA	Sir	Jeffrey	Cleveland	N	2	8	1974	GUADELOUPE		Jeffrey.Cleveland@ijNnAoDZQajhuz.edu	2452380	4215.15
-AAAAAAAAGCNPAAAA	Sir	Jack	Stewart	N	19	12	1926	SAN MARINO		Jack.Stewart@G6N710E1oO.edu	2452618	2859.5
-AAAAAAAAGFKEAAAA	Dr.		Brown		\N	4	1933	ROMANIA			\N	11364.32
-AAAAAAAAGGBIBAAA	Dr.	Michael	Christiansen	Y	4	3	1947	ISRAEL		Michael.Christiansen@kQmauEb.org	2452583	1726.2
-AAAAAAAAGHHEAAAA	Sir	Jerry	Glover	Y	3	6	1942	ANTIGUA AND BARBUDA		Jerry.Glover@yCUI3N8C0o7LPvL.edu	2452645	6382.26
-AAAAAAAAGICFAAAA	Mr.	Charles	Sloan	Y	8	4	1991	KOREA, REPUBLIC OF		Charles.Sloan@gnfGZRA0F.com	2452431	2793.57
-AAAAAAAAGIFHBAAA	Sir	Joe	Jackson	N	31	10	1969	FRENCH POLYNESIA		Joe.Jackson@eHmBJ4QqjNKJypF.com	2452534	1692.69
-AAAAAAAAGJEGBAAA	Dr.	Carlos	Hampton	N	18	11	1947	DOMINICA		Carlos.Hampton@nrYQ8MXgIunX6gf.com	2452470	5556.75
-AAAAAAAAGMDJAAAA	Dr.	Christopher	Payne	Y	30	12	1958	DJIBOUTI		Christopher.Payne@R6POV.org	2452350	1638.72
-AAAAAAAAGOPMAAAA	Mrs.	Donna	West	N	2	12	1977	SOLOMON ISLANDS		Donna.West@6Q.com	2452645	1623.2
-AAAAAAAAHBBDBAAA	Mrs.		Henry	N	\N	\N	1948	ARUBA			2452337	4377.3
-AAAAAAAAHBBDBAAA	Mrs.		Henry	N	\N	\N	1948	ARUBA			2452337	5013.12
-AAAAAAAAHCJKAAAA	Ms.	Emma	Bailey	N	2	10	1935	LATVIA		Emma.Bailey@beDlbUDUUcPhilRyy9.edu	2452491	5638.14
-AAAAAAAAHGCHBAAA	Dr.	Thomas	Hull	Y	24	2	1931	DENMARK		Thomas.Hull@XobY92y.com	2452648	2487.6
-AAAAAAAAHGIFAAAA	Sir	James	Turner	N	25	10	1937	JERSEY		James.Turner@4RGTbOoV.org	2452293	2757.44
-AAAAAAAAHIIDBAAA	Mrs.	Andrew	Barrett	Y	24	5	1992	GUERNSEY		Andrew.Barrett@i85phxAtKhZfES.com	2452319	7854.67
-AAAAAAAAHJOBAAAA	Mrs.	April	Wallace	N	19	7	1930	FIJI		April.Wallace@9iuUi3U0K.edu	2452382	4596.6
-AAAAAAAAHMEFBAAA		Joshua	Bruno		1	11	\N			Joshua.Bruno@7Ds6hF5nMgOTel9.org	2452303	1806.33
-AAAAAAAAHMNNAAAA	Sir	Jeffery	Thomas	Y	8	3	1929	MONTSERRAT		Jeffery.Thomas@Ld7t.org	2452598	2441.4
-AAAAAAAAICMGAAAA	Miss	Edith	Robinson	Y	11	7	1967	PUERTO RICO		Edith.Robinson@zuf2DUz3bhKnEB.org	2452319	7193.61
-AAAAAAAAIGLCBAAA	Miss	Erika	Edmondson	Y	1	8	1944	DJIBOUTI		Erika.Edmondson@BuAbOSrTiD06f.edu	2452460	2381.83
-AAAAAAAAIJGGBAAA	Ms.	Carolyn	Cardona	N	15	9	1936	BULGARIA		Carolyn.Cardona@EhKjaAPoU8gf.edu	2452453	7659.19
-AAAAAAAAIMAHBAAA	Mrs.	Elizabeth	Guzman	Y	19	9	1950	GREECE		Elizabeth.Guzman@4Rq0Cyh9c.edu	2452315	1856.2
-AAAAAAAAIMGFAAAA	Dr.	Paul	Powell	Y	28	11	1935	GREECE		Paul.Powell@3EgM4I28gtaqb.org	2452320	8416.8
-AAAAAAAAIMJCBAAA	Dr.	Dennis	Brown	Y	24	10	1978	BULGARIA		Dennis.Brown@fAvOOY4Q13dVdPfb.com	2452404	1552.46
-AAAAAAAAIMJCBAAA	Dr.	Dennis	Brown	Y	24	10	1978	BULGARIA		Dennis.Brown@fAvOOY4Q13dVdPfb.com	2452404	2639.34
-AAAAAAAAIMPNAAAA	Sir	Charles	Chadwick	N	21	1	1936	ALAND ISLANDS		Charles.Chadwick@ofbPzGan.org	2452414	4241.44
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q31.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q31.out
deleted file mode 100644
index 59b85c0d1d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q31.out
+++ /dev/null
@@ -1,53 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q31 --
-Atchison County	2000	0.80	0.24	11.94	3.16
-Bacon County	2000	1.16	0.39	0.96	0.51
-Bourbon County	2000	1.91	0.98	3.36	1.38
-Boyd County	2000	1.08	0.81	1.16	0.74
-Bradley County	2000	1.48	0.57	1.34	0.99
-Buchanan County	2000	1.19	0.74	3.33	2.23
-Carter County	2000	3.95	1.15	2.11	1.84
-Cass County	2000	2.39	1.19	2.25	0.84
-Corson County	2000	0.56	0.17	4.80	3.22
-Crockett County	2000	1.63	0.36	2.13	1.83
-Culpeper County	2000	0.66	0.61	1.65	1.22
-Edmonson County	2000	0.73	0.29	1.60	1.49
-Ferry County	2000	0.70	0.34	4.00	2.60
-Fillmore County	2000	0.50	0.34	2.44	1.30
-Forest County	2000	0.64	0.34	5.77	1.88
-Gaston County	2000	0.76	0.45	3.95	2.14
-Grant County	2000	0.69	0.62	1.78	1.72
-Green County	2000	0.76	0.32	4.69	4.20
-Harlan County	2000	1.67	1.59	2.47	2.10
-Harris County	2000	2.33	0.33	2.41	1.02
-Heard County	2000	4.10	1.26	3.50	1.12
-Houston County	2000	2.04	1.03	1.96	1.42
-Ingham County	2000	0.57	0.38	1.30	0.99
-Lake County	2000	1.25	0.74	1.51	1.26
-Lincoln County	2000	1.01	0.94	2.33	1.77
-Marion County	2000	1.15	0.91	2.44	1.85
-Mercer County	2000	0.73	0.60	3.01	2.72
-Meriwether County	2000	0.36	0.30	2.77	0.78
-Miller County	2000	2.57	1.31	2.19	0.98
-Mitchell County	2000	4.43	1.16	1.39	1.25
-Mora County	2000	1.18	0.63	2.51	0.91
-Nantucket County	2000	1.43	0.72	1.17	0.96
-New Kent County	2000	0.60	0.39	2.86	2.62
-Nicholas County	2000	2.16	2.05	6.02	1.26
-Otero County	2000	2.75	1.24	2.97	2.24
-Oxford County	2000	0.97	0.75	4.01	1.64
-Perry County	2000	1.58	0.76	2.15	1.80
-Prince William County	2000	3.37	0.63	1.70	0.93
-Refugio County	2000	1.81	0.58	1.30	1.26
-Rice County	2000	1.13	0.73	2.37	1.98
-Richmond County	2000	1.57	1.29	2.30	1.77
-Sheridan County	2000	1.38	1.25	1.57	0.53
-Smith County	2000	0.63	0.42	5.74	4.47
-Stark County	2000	7.33	1.41	1.86	1.22
-Steele County	2000	1.37	0.76	1.24	0.93
-Stone County	2000	1.90	0.81	3.69	1.52
-Tooele County	2000	6.59	0.76	1.78	0.34
-Vernon County	2000	0.97	0.91	1.36	1.04
-Williamson County	2000	2.98	0.39	5.80	4.39
-Wright County	2000	5.02	1.97	4.07	1.96
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q32.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q32.out
deleted file mode 100644
index 4b92b8e7bd..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q32.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q32 --
-28038.14
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q33.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q33.out
deleted file mode 100644
index e74f4c2f3d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q33.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q33 --
-698	214.34
-929	539.60
-464	641.96
-938	858.22
-697	959.48
-682	1074.64
-741	1195.96
-812	2069.00
-838	2256.80
-910	2291.67
-899	2355.04
-990	2370.68
-963	2380.92
-832	2684.32
-692	2773.42
-738	2945.77
-564	3210.59
-770	3379.72
-821	3446.02
-797	3485.44
-974	3527.17
-704	3574.75
-853	3850.44
-898	3854.56
-937	3968.27
-737	4284.65
-942	4618.19
-798	5017.15
-849	5099.82
-939	5122.92
-947	5138.04
-774	5138.38
-668	5666.30
-607	5770.19
-358	5955.66
-860	5957.46
-951	5973.81
-472	6060.92
-824	6198.72
-766	6237.09
-783	6341.40
-799	6360.64
-794	6474.90
-529	6476.80
-928	6536.81
-946	6817.54
-795	6859.76
-793	6871.33
-423	6878.60
-811	6887.18
-887	6998.14
-961	7098.23
-806	7143.83
-772	7196.00
-880	7202.52
-709	7247.76
-696	7732.80
-710	7783.45
-784	7894.58
-780	7973.56
-476	8166.70
-839	8299.55
-828	8398.05
-968	8461.36
-966	8715.08
-872	8722.84
-432	8779.74
-842	8879.82
-981	8899.15
-567	9226.08
-773	9431.83
-430	9891.62
-445	9913.18
-678	9976.96
-977	10067.34
-705	10202.62
-402	10322.05
-789	10376.28
-733	10653.42
-936	10760.28
-920	10922.38
-658	10926.50
-1000	10992.09
-651	11129.87
-965	11158.41
-844	11348.42
-954	11383.41
-655	11632.71
-99	11785.13
-493	11859.91
-723	12068.58
-623	12388.39
-874	12585.39
-810	12598.51
-299	12649.43
-826	12657.78
-870	12927.40
-385	12992.19
-590	13381.82
-718	13768.98
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q34.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q34.out
deleted file mode 100644
index b9ea160d9d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q34.out
+++ /dev/null
@@ -1,454 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q34 --
-			Y	16278	15
-			Y	146557	16
-			N	55640	15
-			N	58614	15
-			N	96514	15
-			N	220211	15
-				148695	16
-				151297	15
-		Mr.	Y	214003	15
-		Ms.		54536	16
-	Grace			147095	16
-	Joshua	Sir	N	108357	15
-	Judy	Dr.		234350	16
-	Roy			200033	15
-Abbott	Harriet	Ms.	N	195008	15
-Acosta	Victor	Mr.	N	156807	15
-Adams	Jerry	Sir	N	216653	15
-Adams	Willie	Sir	N	88285	15
-Alford	Deborah	Miss	N	97678	15
-Allen	Marty	Sir	N	63646	15
-Anderson	Cindy	Miss	N	90504	15
-Anderson	Eloise	Mrs.	Y	59994	16
-Anderson	Marta	Dr.	N	176320	15
-Anderson	Martha	Mrs.	N	74295	15
-Anderson	Norma	Miss	Y	132983	16
-Anderson	Rosemarie	Mrs.	N	178489	15
-Andrews	Cindy	Miss	Y	132595	16
-Andrews	Michael	Sir	N	135694	15
-Andrews	Robert	Sir	Y	30467	15
-Appleton	Gary	Dr.	N	58554	16
-Archibald	Cindy	Miss	Y	87178	16
-Arredondo	Phyllis	Ms.	Y	226220	16
-Arsenault	Janet	Mrs.	N	169973	16
-Ashton	Irma	Mrs.	Y	99233	15
-Bailey	Lucille	Mrs.	N	2490	15
-Baker	Erik	Sir	Y	69511	15
-Barba	William	Sir	Y	102719	15
-Barnes	John	Dr.	N	74071	15
-Barnes	Michael	Mr.	N	168802	15
-Bear	Tommy	Sir	Y	27468	15
-Beasley	Joshua	Dr.	Y	32731	15
-Bell	William	Mr.	Y	82227	15
-Bender	Grover	Dr.	N	152239	15
-Benedict	Bridget	Dr.	N	16544	15
-Benson	Mike	Sir	Y	53219	16
-Berry	Theresa	Ms.	Y	77257	15
-Bilodeau	Norma	Ms.	Y	136244	15
-Blake	John	Mr.	N	193896	15
-Blanchard	Joanne	Dr.	N	5917	15
-Boles	George	Sir	N	64282	15
-Bolin	Yolanda	Dr.	N	13057	16
-Bowden	Kathleen	Ms.	N	106265	15
-Box	Eric	Dr.	N	79283	16
-Boyd	Mildred	Miss	N	190083	15
-Boyer	Betty	Mrs.	Y	171238	16
-Boyle	Timothy	Dr.	N	21865	16
-Brandt	James	Sir	Y	60562	15
-Brantley	Frank	Dr.	N	66867	15
-Brewer	Lynne	Ms.	N	77584	15
-Broughton	Doretta	Ms.	Y	206939	16
-Brower	Donald	Dr.	N	163579	15
-Brown	David	Mr.	N	162755	16
-Brown	Frederick	Mr.	N	120037	15
-Brown	Janette	Dr.	Y	7269	16
-Brown	Janice	Ms.	Y	138617	15
-Brown	Raymond	Mr.	Y	212279	15
-Brown	Roderick	Mr.	N	221290	16
-Brown	Will	Mr.	Y	147392	15
-Buck	Andrew	Dr.	N	128839	15
-Burch	Diana	Mrs.	Y	115522	15
-Burdette	Ronald	Mr.	Y	118097	15
-Butcher	Francine	Mrs.	N	112093	15
-Butcher	Thomas	Mr.	N	213918	15
-Butler	Amos	Dr.	N	7184	15
-Butler	Nicole	Dr.	N	214214	16
-Byrd	Stephanie	Miss	Y	24803	15
-Byrd	Wanda	Ms.	Y	155385	15
-Campbell	Gordon	Mr.	N	196090	15
-Campbell	William	Mr.	N	95665	15
-Carlson	Gwendolyn	Dr.	Y	88472	15
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-Carroll	Frederick	Mr.	Y	56635	15
-Carter	Cecil	Dr.	Y	34336	16
-Carter	Eddie	Dr.	N	226103	16
-Carter	Olga	Mrs.	N	84776	15
-Casey	Darrell	Sir	N	181470	15
-Castro	Sandra	Ms.	N	87567	15
-Chandler	Lisa	Dr.	N	102461	16
-Chang	Bradley	Sir	Y	53396	15
-Chang	Erik	Sir	Y	140138	15
-Chase	Daniel	Dr.	Y	129179	15
-Cheek	Rebecca	Mrs.	Y	82193	15
-Chen	Brett	Mr.	N	7880	15
-Christenson	Steven	Mr.	Y	156157	15
-Clark	Elisa	Mrs.	Y	234445	15
-Clark	Elizabeth	Dr.	Y	58831	15
-Clark	Meredith	Dr.	N	229216	16
-Clark	Rosemary	Miss	Y	31542	15
-Clayton	Michael	Mr.	N	69714	16
-Clemente	Patrick	Sir	Y	179702	15
-Clifford	Bessie	Dr.	N	61376	16
-Clifford	John	Sir	Y	12960	15
-Cochran	Dennis	Sir	Y	94375	15
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-Cole	Amanda	Dr.	Y	92994	15
-Cole	Gretchen	Dr.	N	191039	15
-Cole	June	Miss	N	206225	16
-Cole	Melanie	Mrs.	Y	208547	15
-Coleman	Nancy	Ms.	N	39446	16
-Collier		Mr.	Y	179488	15
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-Conner	Sondra	Miss	N	191684	15
-Conrad	Jason	Mr.	N	166289	15
-Cook		Sir		81755	15
-Cook	John	Mr.	N	237195	15
-Cope	Felicia	Dr.	Y	195003	15
-Cordero	Dwight	Sir	Y	147038	15
-Cota	Jorge	Mr.	N	3324	15
-Crouch	Roberto	Dr.	Y	160826	15
-Cruz	Donna	Ms.	N	180864	15
-Cruz	Tamara	Ms.	N	112086	16
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-David	Timothy	Mr.	Y	20342	16
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-Fields	Philomena	Dr.	N	217374	15
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-Finn	Margaret	Dr.	N	207070	15
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-Floyd	Lillian	Dr.	Y	84374	16
-Flynn	Rhonda	Miss	N	96322	15
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-Garrison	Robert	Sir	Y	40421	15
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-German	Katie	Dr.	N	33536	16
-Gibbons	Christopher	Sir	Y	237265	16
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-Gibson	Agnes	Miss	N	228161	15
-Gil	Yvette	Mrs.	Y	86699	15
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-Gonzales	Cindy	Dr.	Y	96495	15
-Gonzales	Edgar	Sir	N	153714	15
-Gonzalez	Ruby	Mrs.	Y	228694	15
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-Graham	Brian	Mr.	N	13629	15
-Graham	Jerry	Sir		152656	15
-Gray	Jeffery	Mr.	Y	154258	15
-Grayson	Carolyn	Mrs.	N	69374	16
-Grayson	Terry	Mr.	N	130480	16
-Green	Cynthia	Mrs.	Y	141374	15
-Green	Robert	Mr.	N	73965	15
-Griffin	Martha	Dr.	N	82841	16
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-Hall	Roger	Mr.	N	136216	15
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-Hardy	Inez	Ms.	Y	104878	15
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-Harris	Ezekiel	Sir	N	142043	15
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-Hayes	Elizabeth	Mrs.	N	213826	15
-Hayes	Johnnie	Sir	N	57732	15
-Hayes	William	Sir	Y	223946	15
-Haynes	Jennifer	Dr.	N	203136	15
-Haywood	Judy	Mrs.	N	167146	15
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-Hernandez	Sandra	Dr.	Y	14252	16
-Hewitt	Michelle	Dr.	N	155492	15
-Hill	Barbara	Ms.	Y	88890	15
-Hill	Julia	Dr.	N	191695	16
-Horton	Michelle	Ms.	Y	112716	16
-Howell	Katherine	Dr.	N	147571	16
-Huffman	Beverly	Ms.	Y	166660	16
-Hughes	Martin	Dr.	Y	178631	15
-Ivey	John	Mr.	N	189224	15
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-Johnson	Lottie	Ms.	N	131031	15
-Johnson	Olen	Mr.	N	12862	15
-Johnson	Richard	Dr.	N	52256	15
-Johnston	Walter	Mr.	Y	219689	15
-Jones	Austin	Dr.	Y	57009	15
-Jones	Eleanor	Ms.	N	27477	16
-Jones	Jarvis	Sir	Y	74474	16
-Jones	Rebecca	Dr.	Y	187035	16
-Jones	Richard	Dr.	Y	232872	15
-Joseph	Ramon	Mr.	N	7856	15
-Joyce		Ms.		154184	16
-Keaton	Lacey	Mrs.	N	133023	15
-Keith	Bruce	Dr.	Y	24541	15
-Kelly	Betty	Dr.	Y	151468	16
-Kim	Bridget	Mrs.	Y	62861	15
-King	Thomas	Sir	N	62796	15
-Kinney	Angelica	Mrs.	N	192978	16
-Kline	Donald	Mr.	Y	161957	15
-Knight	Terence	Dr.	N	176372	16
-Kraus	Roger	Dr.	Y	117604	16
-Kruse	Jose	Dr.	N	114533	15
-Lacy	Mina	Miss	N	227155	15
-Ladner	Lisa	Dr.	Y	213223	15
-Laird	Mark	Mr.	N	65882	15
-Lavender	Robert	Sir	Y	3754	15
-Lawson	Amanda	Ms.	Y	61212	16
-Lawson	Kelly	Mr.	Y	64975	15
-Le	Rodney	Dr.	Y	79356	16
-Leigh	Abraham	Mr.	N	10283	15
-Lewis	Annie	Ms.	Y	131418	15
-Lewis	Bradley	Sir	N	182566	16
-Lewis	Jerry	Mr.	Y	233447	15
-Light	Robert	Mr.	Y	90021	15
-Lin	Robert	Dr.	Y	236887	15
-Lopez	Randee	Miss	N	9979	15
-Lopez	Theresa	Miss	Y	169110	15
-Lott	Ronald	Sir	N	79453	15
-Love	Sean	Mr.	N	196652	15
-Lowe	Elmer	Sir	N	133003	16
-Lozano	Charlotte	Mrs.	Y	31661	15
-Macias	Roger	Sir	N	82746	15
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-Manuel	Doris	Mrs.	Y	148847	15
-Marks	Duane	Dr.	Y	34432	15
-Marsh	Gary	Sir	Y	6580	15
-Martin	Donald	Dr.	N	238840	16
-Martin	Steve	Mr.	N	72094	16
-Mason	Richard	Sir	Y	27500	16
-Mast	Catalina	Miss	Y	178574	15
-Matos	Josephine	Ms.	N	128283	16
-Maxey	Sharon	Ms.	N	74649	16
-Mccallister	Andrew	Ms.	Y	122178	15
-Mccloud	Nicholas	Mr.	Y	28001	15
-Mcconnell	Scott	Mr.	Y	78305	15
-Mccormick	Joanne	Ms.	N	236985	15
-Mcdaniel	Brian	Sir	N	217760	15
-Mcdonald	Araceli	Ms.	Y	121343	15
-Mcewen	Barbara	Mrs.	N	179491	15
-Mckenzie	Ana	Ms.	N	201062	16
-Mcnamara	Joann	Mrs.	Y	229870	15
-Mcswain	Virgil	Mr.	N	71937	16
-Melton	Monique	Ms.	Y	177605	15
-Miller	Brian	Dr.	N	203465	16
-Miller	Dennis	Dr.	N	137781	15
-Miller	Edward	Sir	N	64767	16
-Miller	Georgia	Ms.	N	40740	16
-Miller	Karrie	Dr.	N	170750	15
-Miller	Nancy	Mrs.	N	82671	16
-Montgomery	Julie	Miss	N	17471	15
-Moore	Barbara	Dr.	N	69608	15
-Moore	Jeffrey	Sir	Y	155931	15
-Moore	Lorena	Mrs.	Y	47752	15
-Moore	Peggy	Miss	Y	191466	15
-Morgan	Betty	Dr.	N	90306	15
-Morgan	Latricia	Mrs.	N	216137	15
-Morris	John	Dr.	Y	214378	15
-Morris	Martina	Miss	N	32596	15
-Morris	Meghan	Mrs.	Y	127565	15
-Moses	Amy	Dr.	Y	182188	15
-Moss	Michael			137243	15
-Moultrie	Martin	Dr.	N	215102	15
-Mulligan	Mark	Sir	Y	184598	16
-Mullins	Vicki	Dr.	Y	162762	15
-Murphy	Michael	Sir	Y	210567	15
-Neeley	Stephanie	Mrs.	N	216299	15
-Nelson	Everette	Dr.	N	80821	15
-Nesbitt	Andrew	Miss	N	185257	15
-Norfleet	Ethel	Miss	N	14366	15
-Olds	Stephen	Dr.	N	206275	16
-Olson	David	Dr.	Y	87821	16
-Oneill	Thomas	Mr.	N	93473	16
-Oneill	Thomas	Mr.	N	188154	15
-Osborn	Lena	Miss	Y	226949	16
-Outlaw	Dennis	Sir	N	115215	16
-Owens	Terry	Dr.	N	144931	15
-Page	Elizabeth	Ms.	N	146879	15
-Page	James	Dr.	Y	214208	16
-Palacios	Amber	Dr.	Y	225723	15
-Palmer	Debbie	Dr.	Y	121860	15
-Park	Jerry	Dr.	N	73028	15
-Peace	Carlos	Sir	N	203823	15
-Perez	Harold	Mr.	Y	6311	15
-Perez	Sheri	Ms.	N	157585	15
-Perry	Sarah	Ms.	N	100885	15
-Perry	Valeria	Mrs.	N	64861	15
-Phelps	Marco	Dr.	Y	86494	16
-Powell	Robert	Sir	Y	185862	15
-Price		Sir	N	55817	15
-Price	Florence	Ms.	Y	17220	15
-Price	Gloria	Mrs.	Y	22568	15
-Price	Marguerite	Mrs.	N	134265	16
-Price	Marie	Ms.	N	88963	15
-Price	Paul	Sir	N	103985	16
-Price	Reginald	Sir	Y	123793	15
-Pridgen	Hans	Dr.	N	207216	15
-Ramirez	Lee	Sir	N	234584	15
-Ramos	David	Dr.	Y	189463	16
-Reece	Jimmy	Sir	N	166493	16
-Reyes	Frank			84620	15
-Reyna	Rod	Sir	N	46248	16
-Reynolds	Oscar	Sir	Y	222749	15
-Richardson	Alice	Ms.	N	43255	16
-Riddle	John	Sir	Y	83916	15
-Riddle	Marcelino	Dr.	N	60749	15
-Rivera	Kate	Ms.	Y	204524	15
-Robb	Laura	Miss		173667	15
-Roberts	Candice	Dr.	Y	111855	16
-Roberts	Dorothy	Ms.	N	183154	15
-Roberts	Jennifer	Miss	Y	141296	15
-Robinson	Gary	Mr.	Y	87081	15
-Robinson	Sara	Mrs.	N	190406	15
-Roldan	Dorothy	Mrs.	N	9370	15
-Roman	Jimmie	Dr.	Y	221049	15
-Ross	Rachael	Mrs.	N	106042	16
-Ross	Robert	Mr.	Y	165295	15
-Russ	Amber	Mrs.	N	225981	15
-Russell	Larry	Dr.	Y	15209	16
-Russell	Mark	Dr.	N	126453	15
-Sacco	Brian	Sir	N	124398	16
-Saddler	Robert	Mr.	Y	74571	15
-Salinas	Kenneth	Dr.	Y	167446	15
-Salter	Antonio	Miss	N	27497	16
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-Sandoval	Vincent	Mr.	N	140438	16
-Sanford	Ronald	Sir	N	211947	15
-Saunders	Mae	Miss	N	108927	15
-Scott	Adam	Mrs.	N	13944	15
-Scott	Ethel	Dr.	N	112707	15
-Scott	Michael	Mr.	Y	104162	15
-Self	Harry	Sir	Y	102208	16
-Shaffer	Richard	Dr.	N	190775	16
-Shuler	Joseph	Sir	N	57224	16
-Sims	Fern	Dr.	Y	175233	15
-Sims	John	Dr.	Y	113923	15
-Smalls	Celeste	Ms.	Y	168837	15
-Smith	Dalene	Ms.	Y	143125	16
-Smith	Herbert	Dr.	Y	238646	15
-Smith	John	Mr.	N	93525	16
-Smith	Marion	Mr.	Y	65393	15
-Smith	Ralph	Sir	N	87132	16
-Smith	Terry	Dr.	Y	16945	15
-Smith	Toni	Miss	N	50011	15
-Smith	Wendell	Sir	N	85496	15
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-Sparks	Michael	Mr.	Y	23696	15
-Spears	Edith	Ms.	Y	223566	15
-Spencer	Alfred	Mr.	Y	159308	15
-Spencer	Teri	Mrs.	N	28551	16
-Stafford	Jerry	Mr.	Y	230470	15
-Stamper	Rebekah	Dr.	N	235329	15
-Stephens	Donna	Ms.	N	151844	15
-Stevens	Mattie	Ms.	N	202640	15
-Stevens	Micheal	Dr.	Y	38659	16
-Stewart	Amanda	Mrs.	Y	145235	15
-Stewart	Gilbert	Mr.	Y	217862	15
-Stewart	Kendra	Mrs.	Y	16423	15
-Stewart	Pamela	Mrs.	Y	88160	16
-Straub	Lowell	Dr.	Y	215956	16
-Street	Lee	Mr.	N	171013	15
-Sullivan	Amy	Dr.	N	166225	15
-Swain	Laura	Ms.	Y	36774	16
-Swisher	Brian	Mr.	Y	53341	15
-Taylor	Arlene	Dr.	Y	71934	15
-Taylor	Jacqueline	Mrs.	Y	89977	16
-Taylor	Karen	Dr.	N	29777	15
-Taylor	Robert	Dr.	N	37700	15
-Thomas	Barbara	Dr.	N	172596	15
-Thomas	Christel	Dr.	Y	34579	15
-Thomas	Jeffrey	Dr.	Y	115846	15
-Thomas	Nichole	Miss	N	200721	16
-Thomas	Rebecca	Mrs.	N	80953	15
-Thompson	Brenda	Dr.	N	171735	15
-Thompson	Melissa	Dr.	N	162831	15
-Tidwell	Phyllis			234037	16
-Tilley	Jane	Mrs.	Y	45378	15
-Tinsley	Charlie	Dr.	N	23881	16
-Tolbert	Emily	Miss	Y	40132	15
-Tompkins	Charlotte			197857	15
-Torres	Jason	Dr.	N	224	16
-Torres	Roberta	Ms.	N	29436	15
-Townsend	Michelle	Mrs.	N	39872	15
-Turner	Kerry	Dr.	Y	23710	16
-Turner	Marjorie	Mrs.	N	65289	15
-Valenzuela	Bryan	Sir	Y	221858	16
-Vance	Josefina	Mrs.	N	147148	15
-Vargas	Charles	Dr.	Y	79536	15
-Vogel	Leroy	Sir	Y	29032	15
-Walker	Jim	Sir	N	46947	15
-Walker	Jose	Sir	Y	189670	16
-Walker	Richard	Sir		226475	15
-Wall	Russell	Sir	N	17231	16
-Wallace	Joseph	Sir	N	27193	15
-Walsh	Javier	Sir	Y	211987	16
-Warren	Brian	Dr.	N	15877	15
-Watson	Tina	Ms.	Y	120030	16
-Webb	Gloria	Ms.	N	65663	15
-Welch	Pauline	Mrs.	Y	47529	15
-West	Carman	Ms.		237594	15
-West	Rachel	Dr.	Y	138384	15
-Wetzel	Bebe	Dr.	N	82518	15
-White	Diane	Dr.	Y	82960	16
-White	Johnny	Dr.	N	204026	16
-Whitehead	Magan	Dr.	N	192159	16
-Wiggins	Kermit	Sir	N	112643	15
-Wilbur	Terry	Sir	N	200312	15
-Williams	Archie	Mr.	N	113007	15
-Williams	Karen	Ms.	Y	140802	15
-Williams	Scott			136844	16
-Willis	Amber	Ms.	N	53815	15
-Willis	Michael	Sir	Y	207326	15
-Wilson	Charles	Mr.	Y	60	15
-Wood	Mark	Dr.	N	4376	15
-Woody	Philip	Mr.	N	211173	16
-Wright	Amanda		Y	105395	15
-Yates	Kimberly	Ms.	Y	220849	15
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q36.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q36.out
deleted file mode 100644
index 245986a4a0..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q36.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q36 --
--0.43	\N	\N	2	1
--0.44	Electronics	\N	1	1
--0.43	Books	\N	1	2
--0.43	Children	\N	1	2
--0.43	Home	\N	1	2
--0.43	Men	\N	1	2
--0.43	Shoes	\N	1	2
--0.43	Sports	\N	1	2
--0.43	Women	\N	1	2
--0.42	Jewelry	\N	1	9
--0.42	Music	\N	1	9
--0.40	\N	\N	1	11
--0.57	\N	swimwear	0	1
--0.52	\N	pants	0	2
--0.51	\N	sports-apparel	0	3
--0.49	\N	flatware	0	4
--0.42	\N	scanners	0	5
--0.41	\N		0	6
--0.41	\N	glassware	0	6
--0.41	\N	womens	0	6
--0.34	\N	dresses	0	9
--0.28	\N	semi-precious	0	10
--0.27	\N	archery	0	11
--0.26	\N	camcorders	0	12
--0.49	Books		0	1
--0.45	Books	home repair	0	2
--0.45	Books	parenting	0	2
--0.45	Books	romance	0	2
--0.45	Books	self-help	0	2
--0.43	Books	arts	0	6
--0.43	Books	business	0	6
--0.43	Books	computers	0	6
--0.43	Books	entertainments	0	6
--0.42	Books	cooking	0	10
--0.42	Books	fiction	0	10
--0.42	Books	history	0	10
--0.42	Books	sports	0	10
--0.42	Books	travel	0	10
--0.41	Books	reference	0	15
--0.40	Books	mystery	0	16
--0.40	Books	science	0	16
--0.51	Children		0	1
--0.44	Children	infants	0	2
--0.44	Children	toddlers	0	2
--0.43	Children	newborn	0	4
--0.43	Children	school-uniforms	0	4
--0.48	Electronics	scanners	0	1
--0.47	Electronics	wireless	0	2
--0.46	Electronics	musical	0	3
--0.45	Electronics	audio	0	4
--0.45	Electronics	automotive	0	4
--0.45	Electronics	personal	0	4
--0.45	Electronics	portable	0	4
--0.44	Electronics	camcorders	0	8
--0.44	Electronics	karoke	0	8
--0.44	Electronics	stereo	0	8
--0.43	Electronics	disk drives	0	11
--0.43	Electronics	monitors	0	11
--0.42	Electronics	cameras	0	13
--0.42	Electronics	dvd/vcr players	0	13
--0.42	Electronics	televisions	0	13
--0.41	Electronics	memory	0	16
--0.45	Home	bedding	0	1
--0.45	Home	blinds/shades	0	1
--0.45	Home	rugs	0	1
--0.45	Home	tables	0	1
--0.45	Home	wallpaper	0	1
--0.44	Home	curtains/drapes	0	6
--0.44	Home	decor	0	6
--0.44	Home	kids	0	6
--0.44	Home	paint	0	6
--0.43	Home	accent	0	10
--0.42	Home	flatware	0	11
--0.42	Home	glassware	0	11
--0.41	Home	bathroom	0	13
--0.41	Home	furniture	0	13
--0.41	Home	mattresses	0	13
--0.39	Home	lighting	0	16
--0.27	Home		0	17
--0.48	Jewelry	consignment	0	1
--0.45	Jewelry	gold	0	2
--0.44	Jewelry	womens watch	0	3
--0.43	Jewelry		0	4
--0.43	Jewelry	birdal	0	4
--0.43	Jewelry	bracelets	0	4
--0.43	Jewelry	estate	0	4
--0.43	Jewelry	loose stones	0	4
--0.43	Jewelry	rings	0	4
--0.43	Jewelry	semi-precious	0	4
--0.42	Jewelry	earings	0	11
--0.42	Jewelry	pendants	0	11
--0.41	Jewelry	costume	0	13
--0.41	Jewelry	jewelry boxes	0	13
--0.41	Jewelry	mens watch	0	13
--0.40	Jewelry	custom	0	16
--0.40	Jewelry	diamonds	0	16
--0.44	Men	sports-apparel	0	1
--0.43	Men	accessories	0	2
--0.43	Men	pants	0	2
--0.42	Men	shirts	0	4
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q37.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q37.out
deleted file mode 100644
index f97ceb927c..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q37.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q37 --
-AAAAAAAAHFMBAAAA	Jobs crack at all public countries. Possible, traditional initiatives will make british problems. Fiscal years call extremely just growing pupils. Soon dutch voices	86.11
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q38.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q38.out
deleted file mode 100644
index d23635acc0..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q38.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q38 --
-107
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q39_1.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q39_1.out
deleted file mode 100644
index b589730893..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q39_1.out
+++ /dev/null
@@ -1,246 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q39_1 --
-1	265	1	324.75	1.2438391781531353	1	265	2	329.0	1.0151581328149208
-1	363	1	499.5	1.031941572270649	1	363	2	321.0	1.1411766752007977
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-1	827	1	271.75	1.1046890134130438	1	827	2	424.75	1.1653198631238286
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-5	431	1	159.0	1.1061794752181042	5	431	2	304.0	1.1224225373103636
-5	671	1	403.3333333333333	1.0056014147334147	5	671	2	281.3333333333333	1.3366835222521476
-5	745	1	466.75	1.0109065525578562	5	745	2	351.0	1.1147212881684183
-5	1701	1	374.0	1.086445817024878	5	1701	2	385.0	1.3306308700750535
-5	2521	1	360.75	1.099248234149208	5	2521	2	265.5	1.1724077694006725
-5	2855	1	406.0	1.4037637084639343	5	2855	2	183.25	1.0662249910239627
-5	3137	1	271.25	1.575453220592864	5	3137	2	380.0	1.0834203388600319
-5	3279	1	299.5	1.053669716363755	5	3279	2	276.75	1.4458878093841827
-5	3467	1	294.0	1.1477294638716873	5	3467	2	349.6666666666667	1.1674223692818808
-5	4463	1	338.0	1.0699320081481432	5	4463	2	273.5	1.2369797321835676
-5	4719	1	340.5	1.0571857801805542	5	4719	2	423.6666666666667	1.0255000206713487
-5	4739	1	281.3333333333333	1.0242971514325028	5	4739	2	383.5	1.0334337390189823
-5	4839	1	310.25	1.035903440911969	5	4839	2	232.0	1.2954193820330193
-5	4979	1	359.5	1.1046408074063157	5	4979	2	323.75	1.1704250950730493
-5	5401	1	219.25	1.2773870241916032	5	5401	2	203.0	1.091567520520827
-5	5635	1	370.0	1.0227054644459215	5	5635	2	351.6666666666667	1.3777664464428738
-5	5797	1	403.0	1.0234882286709048	5	5797	2	457.5	1.003704010389515
-5	5901	1	360.25	1.125963126923387	5	5901	2	376.0	1.0095038425625151
-5	6129	1	419.25	1.0169180165631466	5	6129	2	359.5	1.0478889386811094
-5	6213	1	351.6666666666667	1.2056212536733542	5	6213	2	361.5	1.116840805855076
-5	6479	1	301.3333333333333	1.2780010449304997	5	6479	2	395.75	1.1779743547973778
-5	7333	1	227.0	1.461134600265013	5	7333	2	243.75	1.1789162497808614
-5	7923	1	358.0	1.1046770912449826	5	7923	2	342.3333333333333	1.1607781125264067
-5	8737	1	217.25	1.0742136400907767	5	8737	2	403.5	1.044208050277477
-5	8945	1	344.25	1.1414837656266814	5	8945	2	298.0	1.0008366993492595
-5	8993	1	399.0	1.1873722892104934	5	8993	2	371.75	1.131635380135078
-5	10667	1	288.0	1.3453640177579367	5	10667	2	289.5	1.0952238011728228
-5	10771	1	394.75	1.048068013117441	5	10771	2	323.25	1.2377348818060852
-5	10949	1	383.0	1.1125677373995029	5	10949	2	378.25	1.125540609959554
-5	11107	1	446.5	1.2653489768601378	5	11107	2	258.5	1.553612564193816
-5	11795	1	395.5	1.0104473172545645	5	11795	2	430.75	1.131062588545398
-5	12017	1	347.75	1.1682379397902216	5	12017	2	308.0	1.1593227968413717
-5	12027	1	456.25	1.0262940073409625	5	12027	2	390.3333333333333	1.1142770095355214
-5	13583	1	430.3333333333333	1.042383929052728	5	13583	2	256.25	1.541034827728967
-5	13651	1	272.3333333333333	1.169523124191674	5	13651	2	330.5	1.1901873530915061
-5	13783	1	419.5	1.0584699696320432	5	13783	2	339.5	1.0680909505443135
-5	13859	1	318.0	1.1422239044797105	5	13859	2	380.25	1.0564496237557859
-5	14537	1	206.0	1.2283439997338772	5	14537	2	357.75	1.0387982680964687
-5	15309	1	276.3333333333333	1.2987590579253725	5	15309	2	409.0	1.0102406245856923
-5	15883	1	385.3333333333333	1.0124777526338786	5	15883	2	173.25	1.3562238248195932
-5	15935	1	293.5	1.0187659410172984	5	15935	2	271.25	1.4000947515083553
-5	15949	1	241.5	1.148665986924513	5	15949	2	235.0	1.4072887931753781
-5	16037	1	327.25	1.1307617323781536	5	16037	2	412.6666666666667	1.1830200153757018
-5	16291	1	380.5	1.0549595028454235	5	16291	2	411.6666666666667	1.034921399084621
-5	16459	1	370.0	1.275649908122718	5	16459	2	265.75	1.2988191692443931
-5	16901	1	305.25	1.1043010533964068	5	16901	2	186.5	1.0231269284283626
-5	17199	1	376.5	1.1038969766440296	5	17199	2	374.0	1.0873031171988548
-5	17387	1	298.3333333333333	1.3848741714581234	5	17387	2	327.6666666666667	1.3670875783476784
-5	17717	1	283.75	1.1557156567771052	5	17717	2	235.25	1.1416239351288795
-5	17927	1	217.5	1.3549964301320125	5	17927	2	250.75	1.070921305926391
-5	17943	1	209.75	1.3717071339917375	5	17943	2	428.0	1.1090799349168265
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q39_2.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q39_2.out
deleted file mode 100644
index 357e4febda..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q39_2.out
+++ /dev/null
@@ -1,17 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q39_2 --
-1	1569	1	212.0	1.630213519639535	1	1569	2	239.25	1.2641513267800557
-1	5627	1	282.75	1.5657032366359889	1	5627	2	297.5	1.2084286841430678
-1	7999	1	166.25	1.7924231710846223	1	7999	2	375.3333333333333	1.0080922635507177
-1	8611	1	300.5	1.519154518414795	1	8611	2	243.75	1.234212278096043
-1	15345	1	148.5	1.5295784035794022	1	15345	2	246.5	1.5087987747231526
-2	71	1	221.5	1.563974108334745	2	71	2	309.0	1.4917057895885681
-2	6103	1	194.33333333333334	1.5160670179307387	2	6103	2	158.5	1.2743698636165062
-2	6489	1	268.0	1.6956372368432266	2	6489	2	389.0	1.4105780519299767
-2	15839	1	353.0	1.5063684437542906	2	15839	2	255.5	1.2362393182894102
-3	7207	1	329.6666666666667	1.5954482160720393	3	7207	2	414.5	1.017919707908937
-3	10547	1	182.33333333333334	1.5325641514869042	3	10547	2	320.25	1.302441844373152
-3	12867	1	278.25	1.640380012394735	3	12867	2	350.75	1.2006933321742796
-4	947	1	247.5	1.6933181813486973	4	947	2	203.33333333333334	1.205433145161931
-5	3137	1	271.25	1.575453220592864	5	3137	2	380.0	1.0834203388600319
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q40.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q40.out
deleted file mode 100644
index 6252b83312..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q40.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q40 --
-TN	AAAAAAAAAABDAAAA	0.00	-82.10
-TN	AAAAAAAAAACDAAAA	-216.54	158.04
-TN	AAAAAAAAAAHDAAAA	186.55	0.00
-TN	AAAAAAAAAALAAAAA	0.00	48.23
-TN	AAAAAAAAABBDAAAA	98.61	332.71
-TN	AAAAAAAAABDAAAAA	0.00	213.64
-TN	AAAAAAAAACGCAAAA	63.68	0.00
-TN	AAAAAAAAACHCAAAA	102.68	51.89
-TN	AAAAAAAAACKCAAAA	128.93	44.82
-TN	AAAAAAAAACLDAAAA	205.44	-948.62
-TN	AAAAAAAAACOBAAAA	207.32	24.89
-TN	AAAAAAAAACPDAAAA	87.75	53.99
-TN	AAAAAAAAADGBAAAA	44.31	222.48
-TN	AAAAAAAAADKBAAAA	0.00	-471.87
-TN	AAAAAAAAAEADAAAA	58.24	0.00
-TN	AAAAAAAAAEOCAAAA	19.91	214.70
-TN	AAAAAAAAAFACAAAA	271.82	163.17
-TN	AAAAAAAAAFADAAAA	2.35	28.32
-TN	AAAAAAAAAFDCAAAA	-378.05	-303.27
-TN	AAAAAAAAAGIDAAAA	307.61	-19.29
-TN	AAAAAAAAAHDEAAAA	80.58	-476.72
-TN	AAAAAAAAAHHAAAAA	8.27	155.10
-TN	AAAAAAAAAHJBAAAA	39.24	0.00
-TN	AAAAAAAAAIECAAAA	82.40	3.91
-TN	AAAAAAAAAIEEAAAA	20.40	-151.09
-TN	AAAAAAAAAIMCAAAA	24.47	-150.30
-TN	AAAAAAAAAJACAAAA	49.09	82.10
-TN	AAAAAAAAAJCAAAAA	121.18	63.78
-TN	AAAAAAAAAJKBAAAA	27.94	8.97
-TN	AAAAAAAAALBEAAAA	88.26	30.23
-TN	AAAAAAAAALCEAAAA	93.52	92.02
-TN	AAAAAAAAALECAAAA	64.20	15.16
-TN	AAAAAAAAALNBAAAA	4.20	148.27
-TN	AAAAAAAAAMBEAAAA	28.44	0.00
-TN	AAAAAAAAAMPBAAAA	0.00	131.93
-TN	AAAAAAAAANFEAAAA	0.00	-137.34
-TN	AAAAAAAAAOBBAAAA	0.00	55.62
-TN	AAAAAAAAAOIBAAAA	150.41	254.28
-TN	AAAAAAAAAPBAAAAA	70.40	0.00
-TN	AAAAAAAAAPJBAAAA	45.27	334.40
-TN	AAAAAAAAAPLAAAAA	50.20	29.15
-TN	AAAAAAAAAPLDAAAA	0.00	32.39
-TN	AAAAAAAABAPDAAAA	93.42	145.87
-TN	AAAAAAAABBIDAAAA	296.77	30.96
-TN	AAAAAAAABDCEAAAA	-1771.08	-54.78
-TN	AAAAAAAABDDDAAAA	111.12	280.59
-TN	AAAAAAAABDJAAAAA	0.00	79.55
-TN	AAAAAAAABEFDAAAA	0.00	3.43
-TN	AAAAAAAABEODAAAA	269.90	297.58
-TN	AAAAAAAABFMBAAAA	110.83	-941.40
-TN	AAAAAAAABFNAAAAA	47.86	0.00
-TN	AAAAAAAABFOCAAAA	46.34	83.52
-TN	AAAAAAAABHPCAAAA	27.37	77.62
-TN	AAAAAAAABIDBAAAA	196.62	5.57
-TN	AAAAAAAABIGBAAAA	425.34	0.00
-TN	AAAAAAAABIJBAAAA	209.63	0.00
-TN	AAAAAAAABJFEAAAA	7.33	55.16
-TN	AAAAAAAABKFAAAAA	0.00	138.14
-TN	AAAAAAAABKMCAAAA	27.17	54.97
-TN	AAAAAAAABLDEAAAA	170.29	0.00
-TN	AAAAAAAABNHBAAAA	58.06	-337.89
-TN	AAAAAAAABNIDAAAA	54.40	35.02
-TN	AAAAAAAABNLAAAAA	0.00	168.38
-TN	AAAAAAAABNLDAAAA	0.00	96.41
-TN	AAAAAAAABNMCAAAA	202.41	49.53
-TN	AAAAAAAABOCCAAAA	4.73	69.84
-TN	AAAAAAAABOMBAAAA	63.67	163.49
-TN	AAAAAAAACAAAAAAA	121.91	0.00
-TN	AAAAAAAACAADAAAA	-1107.61	0.00
-TN	AAAAAAAACAJCAAAA	115.81	173.05
-TN	AAAAAAAACBCDAAAA	18.94	226.38
-TN	AAAAAAAACBFAAAAA	0.00	97.41
-TN	AAAAAAAACBIAAAAA	2.14	84.66
-TN	AAAAAAAACBPBAAAA	95.44	26.68
-TN	AAAAAAAACCABAAAA	160.43	135.86
-TN	AAAAAAAACCHDAAAA	0.00	121.62
-TN	AAAAAAAACCMDAAAA	-115.87	124.38
-TN	AAAAAAAACDBCAAAA	16.62	3.40
-TN	AAAAAAAACDECAAAA	-3114.60	0.00
-TN	AAAAAAAACEEAAAAA	34.68	26.41
-TN	AAAAAAAACELAAAAA	130.59	154.63
-TN	AAAAAAAACELDAAAA	0.00	181.07
-TN	AAAAAAAACFEAAAAA	3.78	-315.13
-TN	AAAAAAAACFHDAAAA	0.00	1.80
-TN	AAAAAAAACGFDAAAA	-386.87	96.92
-TN	AAAAAAAACHHDAAAA	143.17	251.64
-TN	AAAAAAAACHPCAAAA	0.17	198.29
-TN	AAAAAAAACJCBAAAA	-918.65	270.96
-TN	AAAAAAAACJDCAAAA	0.00	130.15
-TN	AAAAAAAACJLAAAAA	63.96	91.27
-TN	AAAAAAAACKFCAAAA	-540.59	35.64
-TN	AAAAAAAACKHAAAAA	204.52	110.61
-TN	AAAAAAAACKIAAAAA	18.43	-63.65
-TN	AAAAAAAACLAEAAAA	116.07	0.00
-TN	AAAAAAAACLGAAAAA	108.10	111.14
-TN	AAAAAAAACLKAAAAA	143.05	19.59
-TN	AAAAAAAACLLBAAAA	0.00	178.10
-TN	AAAAAAAACLOBAAAA	-2200.72	14.13
-TN	AAAAAAAACMADAAAA	71.42	-13.64
-TN	AAAAAAAACMJAAAAA	0.00	358.31
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q41.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q41.out
deleted file mode 100644
index 5ac1a90b35..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q41.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q41 --
-ableationableought
-anticallyeingese
-callycallyeingese
-oughtationableought
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q42.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q42.out
deleted file mode 100644
index 83c07f2120..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q42.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q42 --
-2000	7	Home	458017.85
-2000	3	Children	370261.29
-2000	2	Men	368718.95
-2000	1	Women	320132.43
-2000	10	Electronics	281421.74
-2000	5	Music	223420.70
-2000	4	Shoes	221242.25
-2000	8	Sports	200806.45
-2000	6	Jewelry	167920.91
-2000	9	Books	161721.11
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q43.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q43.out
deleted file mode 100644
index bb90ac804e..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q43.out
+++ /dev/null
@@ -1,9 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q43 --
-able	AAAAAAAACAAAAAAA	517884.59	469230.50	505832.67	443696.30	479716.97	462447.50	503064.60
-ation	AAAAAAAAHAAAAAAA	508811.68	474290.02	448808.84	492870.99	498127.64	474355.89	505906.68
-bar	AAAAAAAAKAAAAAAA	496021.80	459933.01	479825.96	474630.24	482326.79	478330.87	505252.22
-eing	AAAAAAAAIAAAAAAA	498752.97	476119.01	485965.24	454921.28	491953.89	476014.69	484633.67
-ese	AAAAAAAAEAAAAAAA	493724.01	499637.85	452314.62	466232.23	481922.38	477933.29	500577.95
-ought	AAAAAAAABAAAAAAA	505735.34	471490.23	463248.39	482690.52	485818.98	481816.20	491354.68
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q44.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q44.out
deleted file mode 100644
index 0068bb1c62..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q44.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q44 --
-1	oughtantiprin st	callyeingbarcallyought
-2	barcallyprioughtought	bareseationcallyought
-3	ableeingantiable	barn stcallycally
-4	n stesebarn st	eingoughtn stn st
-5	antioughtationbarought	callycallybarantiought
-6	callyeseationantiought	
-7	priableeseableought	eseableablepriought
-8	ableoughtableeseought	ationoughtantianti
-9	esebarableeseought	callyn stantieseought
-10	eingoughtn station	barcallyableought
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q46.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q46.out
deleted file mode 100644
index aa862fb619..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q46.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q46 --
-			Bunker Hill	133136	4983.83	-11549.37
-			Plainview	1459	0.00	-3836.32
-			Red Hill	93581	258.51	-4603.87
-			Red Hill	126394	0.00	-7598.00
-		Antioch	Belmont	149232	1500.41	-3669.87
-		Ashland	Philadelphia	155902	2303.72	-9449.87
-		Bayview	Springdale	162862	529.16	-18595.60
-		Belleview	Nichols	59976	13402.13	-15556.69
-		Blair	Hamilton	206536	0.00	-1287.17
-		Brownsville	Bunker Hill	159429	4557.21	-21733.27
-		Brownsville	Mechanicsburg	60829	2340.86	-7083.55
-		Brunswick	Mountain View	123733	2956.13	-17208.64
-		Buckingham	Siloam	93903	319.04	-8652.20
-		Bunker Hill	Antioch	199878	0.00	-773.27
-		Bunker Hill	Greenfield	127182	862.70	-15471.32
-		Bunker Hill	Hopewell	53497	1896.43	-14367.16
-		Cedar Grove	Jackson	81259	8.55	-11335.94
-		Centerville	Bethel	210801	6002.21	-18193.72
-		Centerville	Mount Olive	66053	2445.21	-8995.89
-		Centerville	Mount Zion	83650	3896.13	-11148.64
-		Centerville	Providence	62604	156.21	-13626.64
-		Clifford		129227	3169.89	-16776.31
-		Clifton	Mount Vernon	95501	3283.17	-13463.75
-		Concord	Stringtown	97052	2949.46	-762.97
-		Cordova	Crossroads	85385	38.97	-1522.58
-		Crossroads	Buena Vista	221999	6605.50	-14108.43
-		Crossroads	Unionville	58203	1393.55	-11986.88
-		Deerfield	Riverside	226924	1511.10	-12462.44
-		Derby	Riverdale	140237	4006.86	-7955.30
-		Edgewood	Hopewell	167421	3066.70	-20260.27
-		Empire	Five Forks	43396	1194.37	-7701.69
-		Empire	Midway	165554	258.33	-16775.39
-		Enterprise	Highland Park	147688	2213.54	-1680.47
-		Enterprise	Red Hill	115200	7016.43	-19331.97
-		Fairfield	Bridgeport	13112	1111.88	-10033.40
-		Fairfield	Midway	671	438.90	2207.18
-		Fairfield	Shiloh	149867	2723.49	-7041.50
-		Fairfield	Springdale	66752	3844.64	-8300.75
-		Fairview	Florence	90439	7932.81	-18236.19
-		Five Forks	Lakewood	186991	4960.22	-10929.93
-		Five Forks	Shady Grove	239479	374.43	-21828.49
-		Five Points	Union Hill	57715	3618.57	-14013.63
-		Florence	Edgewood	110370	434.48	-7367.45
-		Florence	Oak Ridge	45989	164.64	-13462.57
-		Florence	Spring Hill	104935	40.79	-9961.14
-		Forest Hills	Argyle	139387	508.08	-3990.97
-		Forest Hills	Ashland	214771	1585.36	-2846.81
-		Forest Hills	Riverside	184229	2485.60	-7673.40
-		Franklin	Floyd	230648	791.64	-8627.59
-		Friendship	Ashland	11043	382.33	-4808.33
-		Georgetown	Clifton	123750	189.60	-5249.53
-		Georgetown	Glendale	27617	787.61	-8592.30
-		Georgetown	Red Hill	234956	50.90	-12681.22
-		Georgetown	Summit	120620	1005.21	-3159.14
-		Gladstone	Hopewell	229820	184.68	-9366.12
-		Glendale	Four Points	167992	29.32	3058.64
-		Glendale	Indian Village	203729	3173.01	-5661.90
-		Glendale	Marion	51036	993.75	-10587.28
-		Glendale	Mount Pleasant	159389	2415.56	-12041.36
-		Glendale	West Liberty	5509	694.86	-23013.69
-		Glenwood	Antioch	86386	413.05	-6649.42
-		Glenwood	Clinton	4460	1568.11	-17245.05
-		Glenwood	Clinton	90728	3371.21	-15159.10
-		Granite	Clinton	211465	8156.94	-18944.88
-		Green Acres	Avery	191571	383.26	-7422.35
-		Greenfield	Edgewood	69782	1026.47	-14367.20
-		Greenfield	Red Oak	214549	1610.58	-1902.29
-		Greenfield	Riverdale	133538	9390.10	-15802.28
-		Greenville	Mountain View	103238	4318.13	-4564.09
-		Greenville	Shiloh	155915	0.00	-9362.72
-		Greenwood	Bridgeport	228626	994.35	-11510.47
-		Greenwood	Lakeside	37922	2446.00	-7423.85
-		Greenwood	Macedonia	133102	0.00	-2193.62
-		Hamilton	Cedar	112720	201.76	-11031.54
-		Hamilton	Liberty	121398	536.72	-8979.34
-		Hamilton	Valley View	161021	222.62	-14659.54
-		Hardy	Unionville	193341	5110.44	-14494.71
-		Harmony	Bethel	77060	5652.18	-15038.44
-		Highland Park	Salem	69302	1868.14	-9374.04
-		Hillcrest	Valley View	218569	1675.85	1324.33
-		Hopewell	Centerville	17403	0.00	-6426.77
-		Jackson	Springdale	72874	32.49	-3297.92
-		Jackson	Union Hill	114590	6854.05	-10691.19
-		Jackson	Union Hill	181398	1.53	-2517.92
-		Kingston	Clinton	169584	14529.68	-33013.98
-		Lakeview		65375	123.96	-5494.33
-		Lakeview	Richville	165849	0.00	-25580.39
-		Lakewood	Arlington	113298	5265.99	-6933.54
-		Lakewood	Bridgeport	169124	1332.90	-11714.51
-		Lakewood	Spring Hill	144979	4075.69	-7995.34
-		Lawrenceville	Bunker Hill	237291	9583.05	-5869.08
-		Lebanon	Pomona	55371	11413.39	-9108.39
-		Lewis	Red Hill	43196	0.00	-4774.25
-		Liberty	Spring Hill	95200	703.30	-6668.63
-		Lincoln	Mount Olive	148878	1735.15	-4123.35
-		Lincoln	Shiloh	152927	475.43	-9245.75
-		Ludlow	Shiloh	150308	0.00	2815.96
-		Macedonia	Summerville	96898	190.19	-5906.64
-		Maple Grove	Hardy	94091	74.16	-730.04
-		Maple Grove	Waterloo	225826	3816.54	-8655.39
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q47.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q47.out
deleted file mode 100644
index 89fb417cb5..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q47.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q47 --
-Men	importoimporto #1	ese	Unknown	1999	3	5492.8175	2070.65	3307.78	2784.11
-Music	exportischolar #1	eing	Unknown	1999	2	5134.2383	1740.21	4401.89	2721.61
-Music	edu packscholar #1	ese	Unknown	1999	4	5463.7008	2091.07	3391.39	3095.31
-Music	edu packscholar #1	ought	Unknown	1999	7	5552.3050	2226.34	4081.99	7573.33
-Music	edu packscholar #1	ese	Unknown	1999	2	5463.7008	2268.27	4139.47	3391.39
-Men	edu packimporto #1	ought	Unknown	1999	7	5176.2575	1993.73	3542.54	5764.35
-Children	exportiexporti #1	ese	Unknown	1999	3	5185.8983	2019.69	3479.21	2982.05
-Shoes	amalgedu pack #1	ation	Unknown	1999	6	5152.0958	2077.67	3123.43	2368.73
-Men	edu packimporto #1	eing	Unknown	1999	3	5501.1808	2453.88	2683.70	2615.32
-Children	exportiexporti #1	ation	Unknown	1999	4	5238.3575	2232.03	3221.70	3649.52
-Shoes	importoedu pack #1	eing	Unknown	1999	5	4698.6125	1703.27	2687.15	2757.83
-Music	exportischolar #1	bar	Unknown	1999	7	5318.1466	2346.06	3483.88	7658.62
-Music	edu packscholar #1	ation	Unknown	1999	2	5622.2275	2657.68	4207.03	3543.82
-Children	exportiexporti #1	bar	Unknown	1999	7	5280.6625	2324.79	3003.61	5961.39
-Children	importoexporti #1	eing	Unknown	1999	2	4650.4383	1734.45	2341.19	2720.78
-Shoes	importoedu pack #1	ought	Unknown	1999	4	4537.6358	1623.33	2928.34	1905.23
-Women	edu packamalg #1	ation	Unknown	1999	4	4507.4175	1596.92	2865.38	2665.75
-Men	importoimporto #1	ought	Unknown	1999	6	5045.7583	2152.15	2834.94	2667.92
-Men	edu packimporto #1	eing	Unknown	1999	4	5501.1808	2615.32	2453.88	2874.96
-Shoes	exportiedu pack #1	bar	Unknown	1999	3	5296.0891	2410.44	2685.85	3821.39
-Men	importoimporto #1	able	Unknown	1999	2	5194.8183	2333.43	2765.75	2674.91
-Music	amalgscholar #1	ought	Unknown	1999	2	4565.6000	1727.16	3895.09	2606.58
-Music	edu packscholar #1	eing	Unknown	1999	5	5539.3083	2704.16	3862.34	3960.90
-Shoes	importoedu pack #1	ation	Unknown	1999	4	4690.5775	1855.85	3524.69	3050.34
-Men	edu packimporto #1	eing	Unknown	1999	2	5501.1808	2683.70	4304.21	2453.88
-Women	exportiamalg #1	able	Unknown	1999	2	4123.6008	1306.40	2876.61	2238.71
-Music	exportischolar #1	able	Unknown	1999	5	5090.1050	2281.80	2488.24	3304.75
-Shoes	exportiedu pack #1	ought	Unknown	1999	2	4755.5358	1951.00	3949.06	2767.05
-Men	importoimporto #1	ese	Unknown	1999	6	5492.8175	2691.33	3210.74	3754.33
-Men	amalgimporto #1	ation	Unknown	1999	2	4909.4608	2116.43	3187.20	3356.64
-Men	importoimporto #1	ought	Unknown	1999	2	5045.7583	2253.70	4158.86	3467.09
-Shoes	amalgedu pack #1	ation	Unknown	1999	7	5152.0958	2368.73	2077.67	7543.60
-Men	edu packimporto #1	ese	Unknown	1999	3	4979.3616	2201.00	3110.55	3118.30
-Children	exportiexporti #1	ation	Unknown	1999	2	5238.3575	2462.96	3808.48	3221.70
-Men	amalgimporto #1	ation	Unknown	1999	4	4909.4608	2136.23	3356.64	3046.51
-Children	importoexporti #1	able	Unknown	1999	7	4586.2983	1814.46	2643.58	6423.18
-Men	edu packimporto #1	ation	Unknown	1999	4	5170.3691	2407.58	3086.77	2492.73
-Shoes	amalgedu pack #1	ese	Unknown	1999	7	4392.1866	1630.14	2755.91	6185.73
-Shoes	amalgedu pack #1	able	Unknown	1999	5	4940.2275	2187.55	2894.91	3018.65
-Men	edu packimporto #1	ought	Unknown	1999	4	5176.2575	2424.94	4285.78	3286.20
-Women	amalgamalg #1	able	Unknown	1999	6	4507.2400	1761.81	2891.95	2302.21
-Men	importoimporto #1	ation	Unknown	1999	3	5410.9166	2672.68	3591.65	2988.08
-Men	importoimporto #1	ation	Unknown	1999	5	5410.9166	2677.81	2988.08	2881.34
-Men	edu packimporto #1	bar	Unknown	1999	4	5632.7366	2901.64	3202.87	3447.78
-Children	exportiexporti #1	able	Unknown	1999	5	4955.2416	2230.80	2395.57	3003.89
-Men	importoimporto #1	eing	Unknown	1999	5	5074.0766	2356.88	2833.40	2854.62
-Men	edu packimporto #1	bar	Unknown	1999	2	5632.7366	2916.43	3847.05	3202.87
-Shoes	exportiedu pack #1	ese	Unknown	1999	3	4865.2883	2151.76	3212.91	3768.25
-Men	importoimporto #1	ese	Unknown	1999	4	5492.8175	2784.11	2070.65	3210.74
-Shoes	exportiedu pack #1	bar	Unknown	1999	7	5296.0891	2591.12	3012.98	6254.36
-Shoes	exportiedu pack #1	ation	Unknown	1999	5	4873.5108	2170.98	2302.76	3236.50
-Shoes	amalgedu pack #1	able	Unknown	1999	2	4940.2275	2239.16	3495.29	2563.93
-Children	exportiexporti #1	eing	Unknown	1999	7	5109.6541	2410.24	2916.46	6558.23
-Women	importoamalg #1	able	Unknown	1999	7	4574.7425	1881.03	2345.66	6036.28
-Women	amalgamalg #1	ought	Unknown	1999	7	4619.7075	1926.67	3528.98	5162.15
-Children	importoexporti #1	bar	Unknown	1999	7	4566.7758	1879.57	3400.62	6244.92
-Music	edu packscholar #1	ation	Unknown	1999	6	5622.2275	2943.26	3643.42	3847.77
-Music	exportischolar #1	ation	Unknown	1999	4	4962.6500	2283.77	3210.01	2539.84
-Music	exportischolar #1	ation	Unknown	1999	2	4962.6500	2284.23	3250.69	3210.01
-Men	edu packimporto #1	ation	Unknown	1999	5	5170.3691	2492.73	2407.58	3288.94
-Men	edu packimporto #1	able	Unknown	1999	3	4989.3016	2318.98	2618.89	3315.77
-Music	exportischolar #1	bar	Unknown	1999	4	5318.1466	2651.96	2989.10	3649.76
-Music	exportischolar #1	bar	Unknown	1999	2	5318.1466	2656.31	3419.77	2989.10
-Shoes	amalgedu pack #1	bar	Unknown	1999	6	4805.4016	2149.56	2686.70	3098.25
-Children	exportiexporti #1	bar	Unknown	1999	4	5280.6625	2625.99	3301.62	4331.44
-Music	amalgscholar #1	ation	Unknown	1999	4	4934.5041	2280.93	2322.89	2421.13
-Music	edu packscholar #1	able	Unknown	1999	7	5335.9083	2684.15	3543.33	7540.94
-Shoes	importoedu pack #1	eing	Unknown	1999	2	4698.6125	2058.86	3191.74	2812.15
-Shoes	edu packedu pack #1	ought	Unknown	1999	5	4745.2958	2109.27	3203.82	2737.82
-Shoes	importoedu pack #1	ought	Unknown	1999	5	4537.6358	1905.23	1623.33	3170.58
-Men	edu packimporto #1	able	Unknown	1999	6	4989.3016	2357.82	3363.58	3142.81
-Children	exportiexporti #1	able	Unknown	1999	2	4955.2416	2326.67	2746.99	3097.63
-Men	edu packimporto #1	eing	Unknown	1999	5	5501.1808	2874.96	2615.32	3714.00
-Shoes	exportiedu pack #1	ation	Unknown	1999	7	4873.5108	2256.56	3236.50	6245.37
-Shoes	importoedu pack #1	ese	Unknown	1999	3	4676.7491	2060.29	3273.67	2610.86
-Men	amalgimporto #1	ese	Unknown	1999	6	4764.5966	2150.16	3284.27	3475.17
-Music	amalgscholar #1	ation	Unknown	1999	3	4934.5041	2322.89	3197.76	2280.93
-Shoes	exportiedu pack #1	bar	Unknown	1999	2	5296.0891	2685.85	4235.44	2410.44
-Children	importoexporti #1	able	Unknown	1999	5	4586.2983	1982.77	2837.74	2643.58
-Music	exportischolar #1	able	Unknown	1999	4	5090.1050	2488.24	2966.36	2281.80
-Shoes	importoedu pack #1	able	Unknown	1999	7	4700.9116	2100.12	2533.01	5888.57
-Music	edu packscholar #1	bar	Unknown	1999	2	5484.7891	2903.45	3410.13	3024.86
-Shoes	exportiedu pack #1	ation	Unknown	1999	3	4873.5108	2300.45	2797.30	2302.76
-Shoes	exportiedu pack #1	ation	Unknown	1999	4	4873.5108	2302.76	2300.45	2170.98
-Shoes	importoedu pack #1	bar	Unknown	1999	3	4794.6791	2225.70	2756.97	2413.76
-Music	edu packscholar #1	ought	Unknown	1999	5	5552.3050	2985.49	3241.69	4081.99
-Music	edu packscholar #1	eing	Unknown	1999	3	5539.3083	2973.01	3069.18	3862.34
-Shoes	amalgedu pack #1	eing	Unknown	1999	7	4706.5441	2143.18	2458.07	5967.73
-Children	exportiexporti #1	ought	Unknown	1999	5	5018.2791	2458.03	3467.53	2683.61
-Children	exportiexporti #1	able	Unknown	1999	4	4955.2416	2395.57	3097.63	2230.80
-Children	exportiexporti #1	eing	Unknown	1999	2	5109.6541	2550.30	4039.10	2685.10
-Music	exportischolar #1	ought	Unknown	1999	4	5079.1825	2520.64	3233.50	3079.89
-Women	edu packamalg #1	ation	Unknown	1999	2	4507.4175	1951.42	4166.02	2865.38
-Women	amalgamalg #1	ought	Unknown	1999	1	4619.7075	2065.94	9639.59	2521.70
-Music	importoscholar #1	ought	Unknown	1999	3	4004.4483	1456.84	2438.63	2790.03
-Shoes	edu packedu pack #1	eing	Unknown	1999	5	4664.8616	2122.71	3131.02	2852.96
-Women	importoamalg #1	bar	Unknown	1999	3	4437.2108	1895.27	2678.48	2999.04
-Music	exportischolar #1	able	Unknown	1999	2	5090.1050	2550.48	3702.29	2966.36
-Music	edu packscholar #1	able	Unknown	1999	1	5335.9083	2796.97	13360.68	3413.22
-Children	exportiexporti #1	eing	Unknown	1999	4	5109.6541	2574.12	2685.10	2672.73
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q48.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q48.out
deleted file mode 100644
index 031d7b8b7f..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q48.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q48 --
-26257
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q49.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q49.out
deleted file mode 100644
index 370902d527..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q49.out
+++ /dev/null
@@ -1,35 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q49 --
-catalog	17543	0.5714	1	1
-catalog	14513	0.6354	2	2
-catalog	12577	0.6559	3	3
-catalog	3411	0.7164	4	4
-catalog	361	0.7464	5	5
-catalog	8189	0.7469	6	6
-catalog	8929	0.7625	7	7
-catalog	14869	0.7717	8	8
-catalog	9295	0.7789	9	9
-catalog	16215	0.7906	10	10
-store	9471	0.7750	1	1
-store	9797	0.8000	2	2
-store	12641	0.8160	3	3
-store	15839	0.8163	4	4
-store	1171	0.8241	5	5
-store	11589	0.8265	6	6
-store	6661	0.9220	7	7
-store	13013	0.9420	8	8
-store	14925	0.9647	9	9
-store	4063	1.0000	10	10
-store	9029	1.0000	10	10
-web	7539	0.5900	1	1
-web	3337	0.6265	2	2
-web	15597	0.6619	3	3
-web	2915	0.6986	4	4
-web	11933	0.7171	5	5
-web	3305	0.7375	6	16
-web	483	0.8000	7	6
-web	85	0.8571	8	7
-web	97	0.9036	9	8
-web	117	0.9250	10	9
-web	5299	0.9270	11	10
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q49_rewrite.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q49_rewrite.out
deleted file mode 100644
index 3ce76e09ea..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q49_rewrite.out
+++ /dev/null
@@ -1,35 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q49_rewrite --
-catalog	17543	0.5714	1	1
-catalog	14513	0.6354	2	2
-catalog	12577	0.6559	3	3
-catalog	3411	0.7164	4	4
-catalog	361	0.7464	5	5
-catalog	8189	0.7469	6	6
-catalog	8929	0.7625	7	7
-catalog	14869	0.7717	8	8
-catalog	9295	0.7789	9	9
-catalog	16215	0.7906	10	10
-store	9471	0.7750	1	1
-store	9797	0.8000	2	2
-store	12641	0.8160	3	3
-store	15839	0.8163	4	4
-store	1171	0.8241	5	5
-store	11589	0.8265	6	6
-store	6661	0.9220	7	7
-store	13013	0.9420	8	8
-store	14925	0.9647	9	9
-store	4063	1.0000	10	10
-store	9029	1.0000	10	10
-web	7539	0.5900	1	1
-web	3337	0.6265	2	2
-web	15597	0.6619	3	3
-web	2915	0.6986	4	4
-web	11933	0.7171	5	5
-web	3305	0.7375	6	16
-web	483	0.8000	7	6
-web	85	0.8571	8	7
-web	97	0.9036	9	8
-web	117	0.9250	10	9
-web	5299	0.9270	11	10
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q50.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q50.out
deleted file mode 100644
index 61058f780d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q50.out
+++ /dev/null
@@ -1,9 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q50 --
-able	1	255	Sycamore 	Dr.	Suite 410	Midway	Williamson County	TN	31904	67	48	61	66	98
-ation	1	811	Lee 	Circle	Suite T	Midway	Williamson County	TN	31904	70	51	50	61	109
-bar	1	175	4th 	Court	Suite C	Midway	Williamson County	TN	31904	96	53	55	76	86
-eing	1	226	12th 	Lane	Suite D	Fairview	Williamson County	TN	35709	69	63	62	63	114
-ese	1	27	Lake 	Ln	Suite 260	Midway	Williamson County	TN	31904	58	57	55	54	106
-ought	1	767	Spring 	Wy	Suite 250	Midway	Williamson County	TN	31904	81	63	52	58	103
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q51.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q51.out
deleted file mode 100644
index e25cca840d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q51.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q51 --
-14	2000-01-10	176.83	\N	176.83	73.60
-14	2000-01-21	\N	75.29	176.83	75.29
-14	2000-01-29	222.33	\N	222.33	75.29
-14	2000-02-02	224.01	\N	224.01	75.29
-14	2000-02-08	\N	85.07	224.01	85.07
-14	2000-02-19	\N	98.60	224.01	98.60
-14	2000-02-21	241.64	\N	241.64	98.60
-14	2000-02-22	\N	99.83	241.64	99.83
-14	2000-03-18	\N	112.82	241.64	112.82
-14	2000-03-23	251.15	\N	251.15	112.82
-14	2000-03-28	260.17	\N	260.17	112.82
-14	2000-03-31	370.74	\N	370.74	112.82
-14	2000-04-05	\N	115.94	370.74	115.94
-14	2000-04-15	445.30	\N	445.30	115.94
-14	2000-04-27	\N	151.48	445.30	151.48
-14	2000-05-03	\N	176.89	445.30	176.89
-14	2000-05-10	451.40	\N	451.40	176.89
-14	2000-05-21	\N	238.39	451.40	238.39
-14	2000-05-26	596.81	\N	596.81	238.39
-14	2000-05-29	\N	242.51	596.81	242.51
-14	2000-06-05	\N	304.64	596.81	304.64
-14	2000-07-03	623.77	\N	623.77	304.64
-14	2000-07-07	\N	307.77	623.77	307.77
-14	2000-07-18	\N	320.04	623.77	320.04
-14	2000-07-25	673.08	\N	673.08	320.04
-14	2000-08-10	\N	411.48	673.08	411.48
-14	2000-08-14	\N	465.85	673.08	465.85
-14	2000-08-21	\N	541.45	673.08	541.45
-14	2000-08-26	\N	574.56	673.08	574.56
-19	2000-01-02	56.96	49.68	56.96	49.68
-25	2000-01-21	97.29	\N	97.29	4.49
-25	2000-01-28	192.46	\N	192.46	4.49
-25	2000-02-09	\N	24.23	192.46	24.23
-25	2000-02-11	\N	98.99	192.46	98.99
-25	2000-02-21	\N	170.60	192.46	170.60
-25	2000-02-22	\N	185.05	192.46	185.05
-35	2000-01-14	\N	55.24	177.88	55.24
-35	2000-01-16	\N	95.92	177.88	95.92
-35	2000-01-18	\N	126.45	177.88	126.45
-35	2000-01-19	\N	167.07	177.88	167.07
-35	2000-02-17	\N	173.97	177.88	173.97
-35	2000-02-22	270.43	\N	270.43	173.97
-35	2000-02-23	\N	180.61	270.43	180.61
-35	2000-03-03	\N	181.99	270.43	181.99
-35	2000-03-05	\N	221.24	270.43	221.24
-35	2000-03-06	\N	266.41	270.43	266.41
-37	2000-01-02	31.75	11.89	31.75	11.89
-37	2000-01-04	\N	17.15	31.75	17.15
-37	2000-01-05	34.34	\N	34.34	17.15
-37	2000-01-06	\N	29.67	34.34	29.67
-41	2000-01-21	\N	15.54	123.34	15.54
-41	2000-02-03	\N	21.04	123.34	21.04
-41	2000-02-16	\N	33.46	123.34	33.46
-41	2000-02-20	\N	37.46	123.34	37.46
-41	2000-02-22	\N	58.57	123.34	58.57
-41	2000-03-05	\N	70.06	123.34	70.06
-41	2000-03-17	178.84	150.76	178.84	150.76
-41	2000-04-26	263.14	\N	263.14	254.88
-41	2000-07-12	474.83	\N	474.83	393.87
-41	2000-07-18	\N	421.23	474.83	421.23
-41	2000-08-15	\N	430.77	474.83	430.77
-49	2000-01-18	\N	2.51	4.58	2.51
-49	2000-01-31	72.47	\N	72.47	13.05
-49	2000-02-13	\N	70.68	72.47	70.68
-49	2000-02-29	\N	71.86	72.47	71.86
-49	2000-04-17	225.29	\N	225.29	219.03
-53	2000-01-02	12.85	1.13	12.85	1.13
-53	2000-01-08	119.24	\N	119.24	1.13
-53	2000-01-09	126.98	\N	126.98	1.13
-53	2000-01-15	\N	3.20	126.98	3.20
-53	2000-02-04	\N	22.89	126.98	22.89
-53	2000-02-05	\N	64.45	126.98	64.45
-53	2000-02-12	\N	66.06	126.98	66.06
-56	2000-01-02	41.57	17.31	41.57	17.31
-61	2000-02-17	421.60	\N	421.60	344.03
-61	2000-03-01	\N	411.33	421.60	411.33
-61	2000-04-22	600.20	\N	600.20	573.28
-71	2000-01-02	13.92	2.88	13.92	2.88
-85	2000-02-03	\N	42.30	65.50	42.30
-85	2000-02-16	\N	42.95	65.50	42.95
-85	2000-04-19	335.16	\N	335.16	247.67
-85	2000-04-23	\N	252.83	335.16	252.83
-85	2000-05-02	\N	289.65	335.16	289.65
-85	2000-05-11	\N	312.62	335.16	312.62
-86	2000-01-19	31.70	\N	31.70	25.97
-86	2000-02-03	151.26	\N	151.26	91.16
-86	2000-02-04	\N	112.15	151.26	112.15
-89	2000-01-12	\N	28.84	181.56	28.84
-89	2000-01-23	\N	67.19	181.56	67.19
-89	2000-01-30	\N	104.65	181.56	104.65
-89	2000-02-22	\N	146.96	181.56	146.96
-89	2000-02-25	\N	147.02	181.56	147.02
-89	2000-03-19	\N	172.85	181.56	172.85
-89	2000-03-20	191.66	\N	191.66	172.85
-89	2000-04-11	295.81	\N	295.81	172.85
-89	2000-04-13	\N	203.86	295.81	203.86
-89	2000-04-20	373.30	\N	373.30	203.86
-89	2000-04-23	\N	219.74	373.30	219.74
-89	2000-04-26	\N	235.97	373.30	235.97
-89	2000-05-04	\N	248.05	373.30	248.05
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q52.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q52.out
deleted file mode 100644
index 632da0643f..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q52.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q52 --
-2000	2001002	amalgimporto #2	133668.20
-2000	1003001	exportiamalg #1	85038.62
-2000	3002002	importoexporti #2	79104.47
-2000	3004002	edu packexporti #2	78772.08
-2000	3003001	exportiexporti #1	67105.01
-2000	2004002	edu packimporto #2	65904.27
-2000	4001002	amalgedu pack #2	56283.13
-2000	5002002	importoscholar #2	54390.12
-2000	7016001	corpnameless #1	51331.65
-2000	2002001	importoimporto #1	50831.66
-2000	7001005	amalgbrand #5	50727.31
-2000	9015009	scholarunivamalg #9	49522.53
-2000	5004002	edu packscholar #2	45205.15
-2000	4003001	exportiedu pack #1	42810.52
-2000	5001002	amalgscholar #2	42061.33
-2000	1003002	exportiamalg #2	41130.32
-2000	2003002	exportiimporto #2	39318.67
-2000	7007004	brandbrand #4	38993.74
-2000	1002002	importoamalg #2	38952.02
-2000	8003010	exportinameless #10	37010.51
-2000	1002001	importounivamalg #1	36393.47
-2000	4002001	scholarmaxi #6	34103.67
-2000	1001002	amalgamalg #2	32518.42
-2000	4004002	edu packedu pack #2	32114.76
-2000	5001001	edu packexporti #2	31507.22
-2000	6005005	edu packnameless #8	31445.28
-2000	1001001	amalgamalg #1	31305.49
-2000	4002001	importoedu pack #1	31248.26
-2000	6005001	scholarcorp #1	30955.09
-2000	1004001	edu packamalg #1	30464.10
-2000	7009004	maxibrand #4	29127.01
-2000	10010013	univamalgamalg #13	29071.87
-2000	6012008	importobrand #8	28799.91
-2000	8005009	corpnameless #10	28231.03
-2000	5003001	exportischolar #1	27336.64
-2000	5001001	brandunivamalg #11	26418.90
-2000	3001002	amalgexporti #2	25858.35
-2000	4004001	edu packedu pack #1	25715.17
-2000	7009009	exportibrand #10	25380.68
-2000	4004001	maxinameless #8	23992.40
-2000	10014001	maxibrand #4	23662.09
-2000	10009015	maxiunivamalg #15	23576.97
-2000	3003001	exportiedu pack #2	21959.63
-2000	10004004	edu packunivamalg #4	21950.07
-2000	3002001	importoexporti #1	21677.43
-2000	1004002	edu packamalg #2	21563.27
-2000	2002002	importoimporto #2	21502.53
-2000	2001001	importoimporto #2	21106.22
-2000	9012003	importounivamalg #3	21075.27
-2000	3003002	exportiexporti #2	20711.54
-2000	10015013	scholaramalgamalg #13	20610.41
-2000	7010005	corpunivamalg #6	19821.13
-2000	4003001	exportischolar #2	19693.88
-2000	9012008	importounivamalg #8	19463.65
-2000	7010009	univnameless #9	19176.91
-2000	7008004	namelessbrand #4	19128.07
-2000	2003001	exportiimporto #1	19074.52
-2000	6008005	namelesscorp #5	19067.51
-2000	3004001	edu packexporti #1	18504.78
-2000	5001001	exportinameless #8	18493.00
-2000	10003016	exportiunivamalg #16	18413.97
-2000	3001001	maxibrand #8	18290.52
-2000	8003007	edu packnameless #8	18265.99
-2000	7016007	corpnameless #7	18103.37
-2000	5003002	exportischolar #2	17930.96
-2000	8016004	corpmaxi #4	17828.86
-2000	2004001	importoexporti #2	17646.57
-2000	10004012	edu packunivamalg #12	17608.05
-2000	8002009	importonameless #9	17513.05
-2000	7004009	importoimporto #2	17312.88
-2000	2004001	edu packunivamalg #8	17084.17
-2000	9014006	edu packunivamalg #6	16958.88
-2000	9015011	exportiamalg #2	15875.77
-2000	10004005	importounivamalg #6	15258.42
-2000	6008002	namelesscorp #2	15199.06
-2000	6004002	edu packcorp #2	14905.77
-2000	9013009	exportiunivamalg #9	14704.96
-2000	7012010	importonameless #10	14697.15
-2000	7013007	exportinameless #7	14068.62
-2000	7008009	namelessbrand #9	13759.65
-2000	7006007	edu packamalg #2	13705.14
-2000	10012004	importoamalgamalg #4	13514.95
-2000	6015006	scholarbrand #6	13421.39
-2000	10002012	importounivamalg #12	13080.55
-2000	9016003	corpunivamalg #3	12936.25
-2000	6002004	importocorp #4	12491.48
-2000	8004003	edu packnameless #3	12480.24
-2000	6011008	amalgbrand #8	12236.00
-2000	6003008	exporticorp #8	11621.79
-2000	8005008	scholarnameless #8	11609.84
-2000	4001001	amalgedu pack #1	11110.78
-2000	7009010	maxibrand #10	11061.00
-2000	3004001	edu packscholar #2	11025.47
-2000	7012001	amalgamalgamalg #2	10846.24
-2000	7016009	univnameless #10	10454.42
-2000	7014001	edu packnameless #1	9596.47
-2000	1002001	importoamalg #1	9579.28
-2000	8010004	univmaxi #4	9508.89
-2000	3001001	amalgexporti #1	9373.84
-2000	6010005	univbrand #5	9222.91
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q53.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q53.out
deleted file mode 100644
index 790c962a48..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q53.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q53 --
-30	165.67	340.6350
-30	247.07	340.6350
-30	627.63	340.6350
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-619	210.81	348.6400
-619	464.26	348.6400
-619	560.73	348.6400
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-271	86.87	354.3300
-271	179.61	354.3300
-271	1071.58	354.3300
-827	82.44	356.5900
-827	320.05	356.5900
-827	666.52	356.5900
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-296	265.76	369.1250
-296	655.24	369.1250
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-486	468.01	400.5300
-486	500.23	400.5300
-554	191.48	407.9750
-554	346.80	407.9750
-554	660.97	407.9750
-208	151.84	410.3850
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-662	460.94	412.1350
-662	687.16	412.1350
-394	264.65	413.4050
-394	272.02	413.4050
-394	674.12	413.4050
-221	183.63	416.0825
-221	534.62	416.0825
-221	552.44	416.0825
-621	232.20	418.1150
-621	624.80	418.1150
-507	76.98	419.4650
-507	505.36	419.4650
-507	644.24	419.4650
-316	36.25	423.0350
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-316	697.32	423.0350
-316	799.72	423.0350
-56	110.81	423.0975
-56	371.77	423.0975
-56	500.77	423.0975
-56	709.04	423.0975
-517	194.87	426.2875
-517	313.41	426.2875
-517	482.41	426.2875
-517	714.46	426.2875
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-411	519.60	426.8925
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-247	353.08	427.6825
-247	628.37	427.6825
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-652	314.98	434.7525
-652	365.90	434.7525
-652	829.38	434.7525
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-129	325.26	436.4525
-129	550.47	436.4525
-129	568.39	436.4525
-99	164.24	438.6675
-99	183.75	438.6675
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-235	179.51	441.0300
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-147	553.92	455.8925
-147	691.02	455.8925
-665	283.25	456.0875
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-665	691.20	456.0875
-85	325.28	456.2800
-85	350.10	456.2800
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q54.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q54.out
deleted file mode 100644
index 2d139af560..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q54.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q54 --
-11860	1	593000
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q55.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q55.out
deleted file mode 100644
index 47107364dc..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q55.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q55 --
-2001001	amalgimporto #1	128393.59
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-1001001	amalgamalg #1	106541.65
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q56.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q56.out
deleted file mode 100644
index 2272b8a483..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q56.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q56 --
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-AAAAAAAACIBAAAAA	297.76
-AAAAAAAAEIACAAAA	332.80
-AAAAAAAAOGEEAAAA	339.65
-AAAAAAAAMFMDAAAA	351.12
-AAAAAAAAGHBCAAAA	359.90
-AAAAAAAAIGDCAAAA	371.79
-AAAAAAAACHLCAAAA	410.56
-AAAAAAAAGMBDAAAA	418.46
-AAAAAAAAIJMCAAAA	422.10
-AAAAAAAAEJLBAAAA	442.50
-AAAAAAAANDHCAAAA	460.07
-AAAAAAAAAFNBAAAA	460.32
-AAAAAAAAKDGDAAAA	479.88
-AAAAAAAAKKNCAAAA	494.48
-AAAAAAAAJAJBAAAA	518.30
-AAAAAAAACCOBAAAA	522.92
-AAAAAAAAAEKAAAAA	525.52
-AAAAAAAAKJBDAAAA	527.15
-AAAAAAAAGHEDAAAA	538.85
-AAAAAAAAACGCAAAA	562.68
-AAAAAAAAAEGAAAAA	572.32
-AAAAAAAAEKLBAAAA	572.32
-AAAAAAAAAHCBAAAA	604.38
-AAAAAAAALFADAAAA	606.67
-AAAAAAAAKFNDAAAA	617.96
-AAAAAAAAOEKAAAAA	619.39
-AAAAAAAAEEBEAAAA	626.40
-AAAAAAAAKMBCAAAA	628.95
-AAAAAAAAJHGDAAAA	631.81
-AAAAAAAAOMLDAAAA	631.89
-AAAAAAAAGNDDAAAA	645.99
-AAAAAAAAEADAAAAA	648.20
-AAAAAAAAKPKCAAAA	651.42
-AAAAAAAAAKHCAAAA	657.04
-AAAAAAAAOEIDAAAA	660.24
-AAAAAAAAMKAEAAAA	691.02
-AAAAAAAABLKAAAAA	691.26
-AAAAAAAADEIBAAAA	726.72
-AAAAAAAAKBHCAAAA	730.20
-AAAAAAAADNJAAAAA	731.92
-AAAAAAAAOFPBAAAA	737.28
-AAAAAAAACPIBAAAA	737.64
-AAAAAAAAEPPBAAAA	759.36
-AAAAAAAALNHDAAAA	761.60
-AAAAAAAAGKPDAAAA	773.56
-AAAAAAAAKBCAAAAA	775.30
-AAAAAAAAIBOCAAAA	777.48
-AAAAAAAAOJBEAAAA	777.84
-AAAAAAAAKFKBAAAA	780.41
-AAAAAAAAPJCCAAAA	783.00
-AAAAAAAACAKBAAAA	800.27
-AAAAAAAAOFNDAAAA	806.19
-AAAAAAAAGLIDAAAA	843.75
-AAAAAAAAGDBAAAAA	868.77
-AAAAAAAAOGFDAAAA	887.30
-AAAAAAAACOLBAAAA	918.96
-AAAAAAAAFFNCAAAA	923.35
-AAAAAAAACCJDAAAA	955.08
-AAAAAAAAMMCAAAAA	959.76
-AAAAAAAACCPDAAAA	971.77
-AAAAAAAAKNCEAAAA	998.60
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q57.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q57.out
deleted file mode 100644
index dd14de3b12..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q57.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q57 --
-Shoes	importoedu pack #1	North Midwest	1999	3	7101.7800	2518.33	5264.86	3066.29
-Men	edu packimporto #1	NY Metro	1999	4	7659.2416	3227.88	4759.01	4664.83
-Music	amalgscholar #1	Mid Atlantic	1999	1	6659.4933	2291.60	14178.45	4267.08
-Men	edu packimporto #1	NY Metro	1999	7	7659.2416	3327.90	4566.86	11656.06
-Men	importoimporto #1	North Midwest	1999	5	7640.4916	3327.30	3534.12	5530.63
-Music	edu packscholar #1	Mid Atlantic	1999	1	8223.7191	3965.88	14493.32	4943.68
-Women	amalgamalg #1	Mid Atlantic	1999	2	7116.3283	2872.43	4945.20	2974.14
-Music	exportischolar #1	NY Metro	1999	3	7047.8033	2832.46	4308.87	3265.21
-Children	importoexporti #1	NY Metro	1999	4	6809.5958	2648.85	5318.02	4111.73
-Children	importoexporti #1	Mid Atlantic	1999	5	6832.8216	2687.17	3971.76	4235.84
-Music	edu packscholar #1	North Midwest	1999	1	8078.6900	3934.06	17002.72	4244.46
-Women	amalgamalg #1	Mid Atlantic	1999	3	7116.3283	2974.14	2872.43	4329.06
-Music	edu packscholar #1	Mid Atlantic	1999	4	8223.7191	4091.54	5753.94	4797.32
-Men	importoimporto #1	NY Metro	1999	2	7530.9975	3406.53	5839.59	6125.77
-Men	edu packimporto #1	North Midwest	1999	3	7852.6275	3737.23	4465.92	3831.92
-Shoes	edu packedu pack #1	North Midwest	1999	5	6583.3050	2474.01	3684.23	4335.58
-Men	importoimporto #1	North Midwest	1999	4	7640.4916	3534.12	4291.30	3327.30
-Children	amalgexporti #1	NY Metro	1999	7	6518.7508	2430.77	3203.23	7867.12
-Music	amalgscholar #1	North Midwest	1999	5	6876.8808	2816.26	4637.07	3528.80
-Shoes	importoedu pack #1	North Midwest	1999	4	7101.7800	3066.29	2518.33	5005.85
-Shoes	edu packedu pack #1	NY Metro	1999	2	6421.7925	2394.57	3149.35	4472.43
-Music	edu packscholar #1	NY Metro	1999	7	7966.5791	3944.74	5030.35	10791.61
-Men	edu packimporto #1	North Midwest	1999	4	7852.6275	3831.92	3737.23	4353.90
-Shoes	importoedu pack #1	Mid Atlantic	1999	3	6959.9341	2951.09	4142.26	3271.07
-Men	amalgimporto #1	NY Metro	1999	7	7082.1291	3075.18	5231.88	8953.66
-Shoes	amalgedu pack #1	NY Metro	1999	7	6904.6891	2902.26	4942.02	8793.71
-Men	importoimporto #1	Mid Atlantic	1999	1	7357.0608	3356.15	11222.19	3770.17
-Children	exportiexporti #1	NY Metro	1999	7	7698.3408	3714.25	4686.40	9752.38
-Children	exportiexporti #1	North Midwest	1999	3	7530.3750	3586.50	3960.74	3916.86
-Children	amalgexporti #1	NY Metro	1999	4	6518.7508	2587.68	4177.93	3342.60
-Music	edu packscholar #1	North Midwest	1999	5	8078.6900	4148.83	5184.39	5483.81
-Children	exportiexporti #1	Mid Atlantic	1999	3	7245.2850	3350.65	3876.83	5869.66
-Children	exportiexporti #1	North Midwest	1999	1	7530.3750	3645.95	13367.51	3960.74
-Shoes	exportiedu pack #1	Mid Atlantic	1999	2	6885.3208	3013.95	4139.82	4328.03
-Children	importoexporti #1	North Midwest	1999	7	6690.0916	2827.63	3965.68	7733.16
-Music	edu packscholar #1	North Midwest	1999	2	8078.6900	4244.46	3934.06	4448.50
-Men	edu packimporto #1	Mid Atlantic	1999	1	7912.5375	4082.68	14333.30	4383.51
-Children	exportiexporti #1	NY Metro	1999	3	7698.3408	3883.01	4723.97	4590.03
-Music	exportischolar #1	Mid Atlantic	1999	2	7243.9941	3430.04	3662.97	3617.09
-Music	exportischolar #1	NY Metro	1999	1	7047.8033	3237.56	15805.49	4308.87
-Music	exportischolar #1	NY Metro	1999	4	7047.8033	3265.21	2832.46	3885.17
-Music	exportischolar #1	North Midwest	1999	2	7593.9291	3821.24	4748.20	4271.45
-Men	edu packimporto #1	Mid Atlantic	1999	4	7912.5375	4144.67	4954.05	5070.06
-Music	amalgscholar #1	NY Metro	1999	4	6926.0608	3165.20	4688.23	4286.05
-Shoes	amalgedu pack #1	Mid Atlantic	1999	3	6642.0858	2928.82	3648.57	3892.32
-Music	edu packscholar #1	NY Metro	1999	3	7966.5791	4269.89	4384.51	4452.73
-Men	amalgimporto #1	NY Metro	1999	2	7082.1291	3392.25	4549.47	3653.84
-Shoes	importoedu pack #1	Mid Atlantic	1999	4	6959.9341	3271.07	2951.09	4231.88
-Music	amalgscholar #1	North Midwest	1999	3	6876.8808	3190.36	3536.29	4637.07
-Women	importoamalg #1	Mid Atlantic	1999	1	6479.2983	2804.94	13543.31	3515.21
-Shoes	amalgedu pack #1	North Midwest	1999	6	6829.9566	3178.20	4120.60	5910.98
-Men	amalgimporto #1	NY Metro	1999	4	7082.1291	3450.11	3653.84	5965.16
-Women	edu packamalg #1	NY Metro	1999	4	6608.4858	2976.95	3489.35	3812.22
-Music	edu packscholar #1	North Midwest	1999	3	8078.6900	4448.50	4244.46	5184.39
-Music	amalgscholar #1	Mid Atlantic	1999	7	6659.4933	3031.62	4214.81	9493.69
-Music	exportischolar #1	Mid Atlantic	1999	3	7243.9941	3617.09	3430.04	3871.67
-Men	importoimporto #1	NY Metro	1999	7	7530.9975	3913.80	4405.46	7859.96
-Children	exportiexporti #1	North Midwest	1999	4	7530.3750	3916.86	3586.50	4747.06
-Children	importoexporti #1	NY Metro	1999	2	6809.5958	3200.10	4421.85	5318.02
-Men	importoimporto #1	Mid Atlantic	1999	2	7357.0608	3770.17	3356.15	5114.32
-Children	amalgexporti #1	North Midwest	1999	2	6557.5775	2975.00	3418.40	5079.56
-Music	edu packscholar #1	NY Metro	1999	2	7966.5791	4384.51	5279.09	4269.89
-Music	exportischolar #1	Mid Atlantic	1999	1	7243.9941	3662.97	14285.88	3430.04
-Children	exportiexporti #1	North Midwest	1999	2	7530.3750	3960.74	3645.95	3586.50
-Men	amalgimporto #1	Mid Atlantic	1999	1	6611.3358	3066.19	11053.20	3203.24
-Women	edu packamalg #1	Mid Atlantic	1999	4	6061.2108	2522.22	2674.89	3975.90
-Shoes	exportiedu pack #1	North Midwest	1999	4	7045.1641	3509.17	5252.01	3987.99
-Men	edu packimporto #1	North Midwest	1999	1	7852.6275	4318.23	16397.10	4465.92
-Men	edu packimporto #1	Mid Atlantic	1999	2	7912.5375	4383.51	4082.68	4954.05
-Music	edu packscholar #1	NY Metro	1999	4	7966.5791	4452.73	4269.89	5476.13
-Children	importoexporti #1	Mid Atlantic	1999	1	6832.8216	3330.21	13097.88	3496.46
-Men	edu packimporto #1	North Midwest	1999	5	7852.6275	4353.90	3831.92	5689.03
-Women	exportiamalg #1	Mid Atlantic	1999	2	6013.0883	2536.08	3406.41	3718.65
-Music	exportischolar #1	North Midwest	1999	4	7593.9291	4121.47	4271.45	5234.85
-Music	amalgscholar #1	North Midwest	1999	1	6876.8808	3406.89	13714.11	3536.29
-Men	importoimporto #1	NY Metro	1999	4	7530.9975	4062.17	6125.77	4715.58
-Men	exportiimporto #1	North Midwest	1999	5	5797.3825	2330.52	2965.11	2842.02
-Children	edu packexporti #1	Mid Atlantic	1999	3	6100.6433	2633.95	3676.43	3130.51
-Men	amalgimporto #1	North Midwest	1999	1	6713.8200	3268.58	13596.45	4098.03
-Women	exportiamalg #1	NY Metro	1999	4	6031.0425	2588.60	3554.29	3915.46
-Men	amalgimporto #1	NY Metro	1999	3	7082.1291	3653.84	3392.25	3450.11
-Music	edu packscholar #1	Mid Atlantic	1999	5	8223.7191	4797.32	4091.54	5028.71
-Children	exportiexporti #1	North Midwest	1999	6	7530.3750	4104.53	4747.06	4586.73
-Women	importoamalg #1	NY Metro	1999	4	6352.6825	2928.62	3718.55	3387.14
-Men	edu packimporto #1	NY Metro	1999	2	7659.2416	4246.37	4489.63	4759.01
-Shoes	edu packedu pack #1	Mid Atlantic	1999	3	6578.7858	3166.49	4213.93	4376.74
-Shoes	amalgedu pack #1	North Midwest	1999	4	6829.9566	3417.69	3722.75	4120.60
-Women	exportiamalg #1	North Midwest	1999	3	6171.5441	2760.78	3853.84	3125.47
-Men	amalgimporto #1	Mid Atlantic	1999	2	6611.3358	3203.24	3066.19	4613.61
-Men	edu packimporto #1	North Midwest	1999	2	7852.6275	4465.92	4318.23	3737.23
-Women	edu packamalg #1	Mid Atlantic	1999	3	6061.2108	2674.89	3376.95	2522.22
-Music	exportischolar #1	NY Metro	1999	6	7047.8033	3667.60	3885.17	5088.70
-Children	importoexporti #1	North Midwest	1999	3	6690.0916	3310.89	3486.35	5014.28
-Music	exportischolar #1	Mid Atlantic	1999	4	7243.9941	3871.67	3617.09	4628.08
-Men	importoimporto #1	North Midwest	1999	2	7640.4916	4270.44	4931.98	4291.30
-Children	exportiexporti #1	Mid Atlantic	1999	2	7245.2850	3876.83	4799.92	3350.65
-Shoes	exportiedu pack #1	North Midwest	1999	7	7045.1641	3684.37	4372.20	8403.23
-Men	importoimporto #1	North Midwest	1999	3	7640.4916	4291.30	4270.44	3534.12
-Men	amalgimporto #1	Mid Atlantic	1999	4	6611.3358	3262.24	4613.61	4531.38
-Music	amalgscholar #1	North Midwest	1999	6	6876.8808	3528.80	2816.26	4750.85
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q58.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q58.out
deleted file mode 100644
index 991a7e47c9..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q58.out
+++ /dev/null
@@ -1,6 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q58 --
-AAAAAAAACNGBAAAA	1900.15	11.00	1950.92	11.00	1829.52	10.00	1893.53
-AAAAAAAAIDOAAAAA	6605.22	11.00	6078.33	10.00	6338.25	11.00	6340.60
-AAAAAAAAJMFCAAAA	3608.52	11.00	3590.47	11.00	3305.82	10.00	3501.60
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q59.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q59.out
deleted file mode 100644
index de18bdaa1e..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q59.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q59 --
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5273	1.19	1.02	0.47	0.63	\N	1.49	0.57
-able	AAAAAAAACAAAAAAA	5273	1.19	1.02	0.47	0.63	\N	1.49	0.57
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q60.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q60.out
deleted file mode 100644
index c5347b4782..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q60.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q60 --
-AAAAAAAAAABBAAAA	6287.84
-AAAAAAAAAABEAAAA	1297.26
-AAAAAAAAAADCAAAA	8936.88
-AAAAAAAAAADEAAAA	20945.84
-AAAAAAAAAAHAAAAA	7227.38
-AAAAAAAAAANDAAAA	17117.56
-AAAAAAAAAAOCAAAA	4287.89
-AAAAAAAAABADAAAA	499.72
-AAAAAAAAABBCAAAA	22704.66
-AAAAAAAAABCEAAAA	22499.76
-AAAAAAAAABDEAAAA	5527.74
-AAAAAAAAABFBAAAA	4953.67
-AAAAAAAAABFEAAAA	12523.22
-AAAAAAAAABHCAAAA	20093.49
-AAAAAAAAABIBAAAA	382.30
-AAAAAAAAABICAAAA	1271.62
-AAAAAAAAABKCAAAA	7355.85
-AAAAAAAAABLBAAAA	786.05
-AAAAAAAAABNAAAAA	8385.94
-AAAAAAAAACACAAAA	11564.85
-AAAAAAAAACBEAAAA	13046.23
-AAAAAAAAACCDAAAA	14533.50
-AAAAAAAAACDCAAAA	820.49
-AAAAAAAAACLBAAAA	6761.17
-AAAAAAAAACNCAAAA	19023.15
-AAAAAAAAACODAAAA	7322.65
-AAAAAAAAADACAAAA	4696.41
-AAAAAAAAADBAAAAA	988.80
-AAAAAAAAADDCAAAA	5661.21
-AAAAAAAAADDEAAAA	1846.56
-AAAAAAAAADEEAAAA	15327.48
-AAAAAAAAADGEAAAA	4511.21
-AAAAAAAAADHDAAAA	27866.80
-AAAAAAAAADICAAAA	15624.49
-AAAAAAAAADLCAAAA	399.00
-AAAAAAAAADNDAAAA	6403.89
-AAAAAAAAADPCAAAA	4246.28
-AAAAAAAAAEBAAAAA	1946.34
-AAAAAAAAAEBCAAAA	2021.69
-AAAAAAAAAEBDAAAA	6664.64
-AAAAAAAAAECCAAAA	11363.72
-AAAAAAAAAECEAAAA	10198.96
-AAAAAAAAAEFCAAAA	62.04
-AAAAAAAAAEGDAAAA	9547.35
-AAAAAAAAAEIBAAAA	3804.21
-AAAAAAAAAEICAAAA	7097.51
-AAAAAAAAAEKCAAAA	20954.40
-AAAAAAAAAEPDAAAA	2162.31
-AAAAAAAAAFBEAAAA	10916.01
-AAAAAAAAAFCDAAAA	14657.18
-AAAAAAAAAFDCAAAA	794.73
-AAAAAAAAAFFAAAAA	9979.09
-AAAAAAAAAFHCAAAA	2060.61
-AAAAAAAAAFIAAAAA	705.60
-AAAAAAAAAFJCAAAA	13594.18
-AAAAAAAAAFMDAAAA	2354.86
-AAAAAAAAAFNBAAAA	17475.06
-AAAAAAAAAGBBAAAA	2052.41
-AAAAAAAAAGCCAAAA	8040.70
-AAAAAAAAAGCDAAAA	16455.28
-AAAAAAAAAGDCAAAA	2495.73
-AAAAAAAAAGDEAAAA	6750.35
-AAAAAAAAAGFAAAAA	5985.82
-AAAAAAAAAGHAAAAA	17532.15
-AAAAAAAAAGHDAAAA	1220.67
-AAAAAAAAAGJCAAAA	7564.93
-AAAAAAAAAGKAAAAA	14082.90
-AAAAAAAAAGKDAAAA	1891.00
-AAAAAAAAAGNBAAAA	7856.78
-AAAAAAAAAGOCAAAA	14920.31
-AAAAAAAAAGPCAAAA	7986.28
-AAAAAAAAAHCBAAAA	15074.94
-AAAAAAAAAHECAAAA	11667.69
-AAAAAAAAAHHDAAAA	2491.48
-AAAAAAAAAHJDAAAA	4056.95
-AAAAAAAAAHMAAAAA	15866.43
-AAAAAAAAAHNDAAAA	7289.53
-AAAAAAAAAIACAAAA	2603.30
-AAAAAAAAAIBCAAAA	9.09
-AAAAAAAAAIBEAAAA	6979.53
-AAAAAAAAAIDAAAAA	32.70
-AAAAAAAAAIDCAAAA	15307.29
-AAAAAAAAAIIAAAAA	11268.14
-AAAAAAAAAIIDAAAA	6837.36
-AAAAAAAAAIJCAAAA	28318.16
-AAAAAAAAAIMAAAAA	4013.06
-AAAAAAAAAINBAAAA	7691.92
-AAAAAAAAAINCAAAA	13190.42
-AAAAAAAAAIODAAAA	17489.85
-AAAAAAAAAIPDAAAA	6096.92
-AAAAAAAAAJAEAAAA	30169.62
-AAAAAAAAAJCCAAAA	17608.54
-AAAAAAAAAJGBAAAA	14.10
-AAAAAAAAAJJCAAAA	2763.55
-AAAAAAAAAJMBAAAA	1013.43
-AAAAAAAAAJMCAAAA	12220.00
-AAAAAAAAAJNBAAAA	8076.70
-AAAAAAAAAJODAAAA	5113.02
-AAAAAAAAAKBAAAAA	2413.44
-AAAAAAAAAKDAAAAA	15712.05
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q61.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q61.out
deleted file mode 100644
index 314742d538..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q61.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q61 --
-2894229.70	5493575.41	52.6800
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q62.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q62.out
deleted file mode 100644
index 9a738814a6..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q62.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q62 --
-	EXPRESS	site_0	260	283	296	314	0
-	EXPRESS	site_1	330	285	315	329	0
-	EXPRESS	site_2	283	291	318	333	0
-	EXPRESS	site_3	274	280	277	258	0
-	EXPRESS	site_4	247	244	268	259	0
-	LIBRARY	site_0	197	180	203	180	0
-	LIBRARY	site_1	208	205	185	211	0
-	LIBRARY	site_2	258	230	267	243	0
-	LIBRARY	site_3	243	204	241	252	0
-	LIBRARY	site_4	211	213	216	206	0
-	NEXT DAY	site_0	332	290	340	289	0
-	NEXT DAY	site_1	297	292	275	334	0
-	NEXT DAY	site_2	287	253	272	220	0
-	NEXT DAY	site_3	255	252	243	264	0
-	NEXT DAY	site_4	300	309	309	281	0
-	OVERNIGHT	site_0	242	224	226	237	0
-	OVERNIGHT	site_1	237	202	213	204	0
-	OVERNIGHT	site_2	172	182	158	181	0
-	OVERNIGHT	site_3	217	193	201	175	0
-	OVERNIGHT	site_4	231	251	249	237	0
-	REGULAR	site_0	227	216	199	193	0
-	REGULAR	site_1	239	209	254	246	0
-	REGULAR	site_2	235	241	259	219	0
-	REGULAR	site_3	204	212	185	237	0
-	REGULAR	site_4	171	176	182	163	0
-	TWO DAY	site_0	189	201	202	218	0
-	TWO DAY	site_1	199	170	177	174	0
-	TWO DAY	site_2	200	202	181	179	0
-	TWO DAY	site_3	237	234	233	253	0
-	TWO DAY	site_4	233	229	234	238	0
-Bad cards must make.	EXPRESS	site_0	251	248	268	277	0
-Bad cards must make.	EXPRESS	site_1	262	304	290	267	0
-Bad cards must make.	EXPRESS	site_2	287	290	293	286	0
-Bad cards must make.	EXPRESS	site_3	283	260	267	290	0
-Bad cards must make.	EXPRESS	site_4	281	310	309	321	0
-Bad cards must make.	LIBRARY	site_0	254	265	226	231	0
-Bad cards must make.	LIBRARY	site_1	198	231	211	201	0
-Bad cards must make.	LIBRARY	site_2	181	172	190	176	0
-Bad cards must make.	LIBRARY	site_3	196	214	173	226	0
-Bad cards must make.	LIBRARY	site_4	241	241	247	236	0
-Bad cards must make.	NEXT DAY	site_0	259	255	279	260	0
-Bad cards must make.	NEXT DAY	site_1	287	334	295	300	0
-Bad cards must make.	NEXT DAY	site_2	269	309	306	272	0
-Bad cards must make.	NEXT DAY	site_3	281	322	308	277	0
-Bad cards must make.	NEXT DAY	site_4	273	295	275	281	0
-Bad cards must make.	OVERNIGHT	site_0	221	216	201	213	0
-Bad cards must make.	OVERNIGHT	site_1	250	228	257	235	0
-Bad cards must make.	OVERNIGHT	site_2	255	223	230	238	0
-Bad cards must make.	OVERNIGHT	site_3	195	217	199	211	0
-Bad cards must make.	OVERNIGHT	site_4	175	165	169	164	0
-Bad cards must make.	REGULAR	site_0	176	239	220	233	0
-Bad cards must make.	REGULAR	site_1	187	163	200	198	0
-Bad cards must make.	REGULAR	site_2	190	231	195	208	0
-Bad cards must make.	REGULAR	site_3	227	241	231	252	0
-Bad cards must make.	REGULAR	site_4	258	245	260	245	0
-Bad cards must make.	TWO DAY	site_0	222	235	235	223	0
-Bad cards must make.	TWO DAY	site_1	264	248	237	227	0
-Bad cards must make.	TWO DAY	site_2	181	230	231	207	0
-Bad cards must make.	TWO DAY	site_3	182	158	209	185	0
-Bad cards must make.	TWO DAY	site_4	203	218	198	221	0
-Conventional childr	EXPRESS	site_0	311	308	336	287	0
-Conventional childr	EXPRESS	site_1	250	269	273	260	0
-Conventional childr	EXPRESS	site_2	255	280	235	276	0
-Conventional childr	EXPRESS	site_3	269	292	303	278	0
-Conventional childr	EXPRESS	site_4	275	324	268	330	0
-Conventional childr	LIBRARY	site_0	212	211	225	250	0
-Conventional childr	LIBRARY	site_1	218	249	244	204	0
-Conventional childr	LIBRARY	site_2	203	215	222	205	0
-Conventional childr	LIBRARY	site_3	163	181	180	193	0
-Conventional childr	LIBRARY	site_4	189	208	207	191	0
-Conventional childr	NEXT DAY	site_0	253	269	285	258	0
-Conventional childr	NEXT DAY	site_1	289	244	254	269	0
-Conventional childr	NEXT DAY	site_2	341	290	310	315	0
-Conventional childr	NEXT DAY	site_3	309	294	328	270	0
-Conventional childr	NEXT DAY	site_4	312	311	275	291	0
-Conventional childr	OVERNIGHT	site_0	180	193	167	211	0
-Conventional childr	OVERNIGHT	site_1	196	210	238	194	0
-Conventional childr	OVERNIGHT	site_2	218	236	287	220	0
-Conventional childr	OVERNIGHT	site_3	235	253	228	246	0
-Conventional childr	OVERNIGHT	site_4	211	199	201	201	0
-Conventional childr	REGULAR	site_0	209	262	232	207	0
-Conventional childr	REGULAR	site_1	214	218	222	227	0
-Conventional childr	REGULAR	site_2	166	193	184	183	0
-Conventional childr	REGULAR	site_3	195	191	221	219	0
-Conventional childr	REGULAR	site_4	248	236	244	256	0
-Conventional childr	TWO DAY	site_0	192	225	232	225	0
-Conventional childr	TWO DAY	site_1	248	239	233	251	0
-Conventional childr	TWO DAY	site_2	230	214	237	201	0
-Conventional childr	TWO DAY	site_3	236	190	190	222	0
-Conventional childr	TWO DAY	site_4	197	159	202	176	0
-Doors canno	EXPRESS	site_0	303	312	304	319	0
-Doors canno	EXPRESS	site_1	321	278	313	297	0
-Doors canno	EXPRESS	site_2	267	277	265	257	0
-Doors canno	EXPRESS	site_3	263	245	258	285	0
-Doors canno	EXPRESS	site_4	282	313	319	323	0
-Doors canno	LIBRARY	site_0	201	210	201	200	0
-Doors canno	LIBRARY	site_1	239	217	208	206	0
-Doors canno	LIBRARY	site_2	229	233	244	241	0
-Doors canno	LIBRARY	site_3	216	198	182	222	0
-Doors canno	LIBRARY	site_4	176	163	170	216	0
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q63.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q63.out
deleted file mode 100644
index 3d9d6da38a..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q63.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q63 --
-1	189.04	531.9191
-1	203.73	531.9191
-1	355.17	531.9191
-1	359.53	531.9191
-1	365.84	531.9191
-1	373.26	531.9191
-1	430.03	531.9191
-1	698.60	531.9191
-1	909.18	531.9191
-1	995.02	531.9191
-1	998.95	531.9191
-2	34.79	625.0316
-2	143.64	625.0316
-2	253.85	625.0316
-2	359.05	625.0316
-2	445.59	625.0316
-2	499.99	625.0316
-2	538.36	625.0316
-2	780.07	625.0316
-2	1487.82	625.0316
-2	1660.48	625.0316
-3	270.10	988.2933
-3	367.94	988.2933
-3	491.20	988.2933
-3	529.42	988.2933
-3	629.34	988.2933
-3	757.70	988.2933
-3	1161.47	988.2933
-3	1234.30	988.2933
-3	1251.01	988.2933
-3	1522.49	988.2933
-3	2624.04	988.2933
-5	353.24	1169.4825
-5	581.28	1169.4825
-5	694.79	1169.4825
-5	696.66	1169.4825
-5	740.99	1169.4825
-5	890.86	1169.4825
-5	955.61	1169.4825
-5	1359.61	1169.4825
-5	1712.35	1169.4825
-5	1794.66	1169.4825
-5	2080.16	1169.4825
-5	2173.58	1169.4825
-6	644.61	1772.9983
-6	851.23	1772.9983
-6	868.62	1772.9983
-6	1056.06	1772.9983
-6	1150.40	1772.9983
-6	1196.50	1772.9983
-6	1551.15	1772.9983
-6	2576.64	1772.9983
-6	2875.54	1772.9983
-6	3299.70	1772.9983
-6	3309.13	1772.9983
-7	638.30	1499.6575
-7	663.54	1499.6575
-7	779.65	1499.6575
-7	800.25	1499.6575
-7	811.54	1499.6575
-7	987.78	1499.6575
-7	1046.24	1499.6575
-7	1667.92	1499.6575
-7	2750.32	1499.6575
-7	2970.80	1499.6575
-7	3524.00	1499.6575
-8	803.53	1618.9541
-8	819.18	1618.9541
-8	933.76	1618.9541
-8	944.19	1618.9541
-8	1019.24	1618.9541
-8	1159.06	1618.9541
-8	1290.94	1618.9541
-8	2168.17	1618.9541
-8	2264.18	1618.9541
-8	3033.41	1618.9541
-8	3213.77	1618.9541
-9	315.31	1509.9775
-9	559.82	1509.9775
-9	728.72	1509.9775
-9	784.15	1509.9775
-9	923.36	1509.9775
-9	933.68	1509.9775
-9	1239.49	1509.9775
-9	1848.85	1509.9775
-9	2172.04	1509.9775
-9	2178.07	1509.9775
-9	3165.98	1509.9775
-9	3270.26	1509.9775
-10	314.30	1125.2591
-10	365.57	1125.2591
-10	591.30	1125.2591
-10	760.81	1125.2591
-10	776.91	1125.2591
-10	959.65	1125.2591
-10	975.25	1125.2591
-10	1294.20	1125.2591
-10	1342.05	1125.2591
-10	1914.64	1125.2591
-10	3105.53	1125.2591
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q64.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q64.out
deleted file mode 100644
index 9c3dd65c40..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q64.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q64 --
-n stableableantiought	able	31904	987	Hillcrest 	Fairbanks	46653	216	3rd 	Reno	40344	1999	1	55.42	80.91	954.53	59.08	76.80	0.00	2000	1
-n stableableantiought	ation	31904	425	Green 	Enterprise	11757	772	Valley 			1999	1	16.24	25.17	0.00	7.92	11.80	0.00	2000	1
-n stableableantiought	ation	31904	425	Green 	Enterprise	11757	772	Valley 			1999	1	16.24	25.17	0.00	44.27	58.43	0.00	2000	1
-n stableableantiought	ation	31904	316	Valley Tenth	Pine Grove	74593	806	Wilson Main	Jackson	59583	1999	1	49.63	78.41	14.22	7.92	11.80	0.00	2000	1
-n stableableantiought	ation	31904	316	Valley Tenth	Pine Grove	74593	806	Wilson Main	Jackson	59583	1999	1	49.63	78.41	14.22	44.27	58.43	0.00	2000	1
-n stableableantiought	ation	31904	173	Park Maple	Sulphur Springs	68354	232	Franklin 	Fairfield	66192	1999	1	60.78	85.09	0.00	7.92	11.80	0.00	2000	1
-n stableableantiought	ation	31904	173	Park Maple	Sulphur Springs	68354	232	Franklin 	Fairfield	66192	1999	1	60.78	85.09	0.00	44.27	58.43	0.00	2000	1
-n stableableantiought	eing	35709	928	First Oak	Summit	40499	178	Johnson Hillcrest	Oakdale	59584	1999	1	63.82	121.25	0.00	10.25	12.09	0.00	2000	1
-n stableableantiought	eing	35709	928	First Oak	Summit	40499	178	Johnson Hillcrest	Oakdale	59584	1999	1	63.82	121.25	0.00	30.28	49.65	0.00	2000	1
-n stableableantiought	eing	35709	928	First Oak	Summit	40499	178	Johnson Hillcrest	Oakdale	59584	1999	1	63.82	121.25	0.00	58.19	85.53	0.00	2000	1
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q65.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q65.out
deleted file mode 100644
index d330aa354f..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q65.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q65 --
-able	Commercial, popular processes give later now wooden facts. Black, outer purposes examine national, precise heels. Invisible times s	36.06	5.25	1.68	amalgedu pack #1
-able	Conventional, responsible products discuss delicately then actual findings. Extremel	36.42	3.67	2.82	namelessnameless #5
-able	Difficulties wou	25.25	6.61	2.31	importobrand #7
-able	Efforts might come ever. Even agricultural operations live plus a members. Arts may ring too carefully numerous windows. In particular new ch	22.13	1.49	0.95	edu packamalg #2
-able	Even chief games can present privately extra whole steps. Over old reasons ought to 	21.58	4.30	1.41	namelesscorp #3
-able	Initial, important ministers used to rely. Young, difficult glasses cannot say european, religious organisations; worried minutes protect action	11.03	4.95	3.06	scholarnameless #7
-able	Once olympic sorts could control governments. Final sections mig	21.77	7.76	4.42	edu packscholar #1
-able	Small others will provide probably complete countries. Only effective pensions violate on board maybe left animals. Old r	26.38	2.55	1.60	maxiunivamalg #2
-able	Somehow revolutionary sh	31.09	7.10	3.05	amalgunivamalg #3
-able	Stupid years should not modify loose. Special, sure developments may	7.84	5.81	4.47	maxicorp #5
-able	Swiss, capable lovers handle at least present details. Over here uncomfortable stations take by a lips. Private organisations can supply in a examinatio	29.73	8.15	3.99	amalgedu pack #2
-able	Toys must not meet again goods. Comfortable, major members last days. Popular, double occupations may compensate researchers. Conditions 	25.02	3.35	2.41	edu packscholar #1
-able	Wrong, good values could not work in a minds. Normal structures correct here later massive boo	21.49	4.17	1.45	importoedu pack #1
-ation	Animals conduct primary, sorry tickets. Bare, labour matters used to buy between a patterns. Light authorities explain rules; future eggs can 	1.57	0.86	0.47	edu packamalg #1
-ation	Average services could try unfortunately plants; extensive procedures must	34.63	4.94	3.26	scholarunivamalg #2
-ation	Direct ways topple inches. Complex years can take also across a words. Stupid, global implications would provide sure things. Russians take much for the spots. Indoors local men w	16.06	7.18	4.88	exportiedu pack #1
-ation	Disciplinary signs could prepare particular, other councils. Live criteria ought to stand extra, basic bones. Local leaders tell now tasks. Most old recordings use ago in the governors; par	36.65	8.96	4.39	amalgscholar #2
-ation	Fair families ought to leave relationships. Separate, firm services would assist delicious, serious laws; a	15.31	7.51	2.70	importoamalg #1
-ation	Gradually general affairs come at a gardens. Members may liv	18.43	28.90	11.27	edu packamalgamalg #15
-ation	Here equivalent expectations should stop since to th	18.23	7.88	5.04	scholarunivamalg #4
-ation	Laws propose policies. Commercial, foreign restaurants could take. District	29.49	84.97	32.28	amalgnameless #5
-ation	New r	36.57	2.10	1.19	importoimporto #2
-ation	Officials calculate in the images. Military, olympic services throw apparently old photographs; exotic, wonderful children benefit	25.41	9.36	3.55	maxibrand #9
-ation	Open blue farmers reach useful, old arrangements. American, short years reach now tender, heavy neighbours. Now top boundaries would not enable emotions. Effectively specific 	28.75	2.34	2.01	exportinameless #7
-ation	Or	23.64	3.00	1.86	amalgedu pack #1
-ation	Pensions used to meet in the words. Very african obligati	27.27	0.54	0.27	exportiexporti #1
-ation	Public, limited pup	34.60	9.38	3.93	amalgmaxi #9
-ation	Small kinds would recognize notably violent, labour years. Electronic days would not	30.96	0.90	0.34	namelesscorp #3
-ation	Social, other resources may know reasonable, distant weeks. New, unexpected rates mean. White, electric generations carry together other t	36.10	3.91	2.54	maxinameless #10
-ation	Trustees grow well thereby national attitudes. Social, excellent bacteria contain permanent gaps. Only dynamic uses ought to halt very long, bright men; japanese, distin	3.96	3.31	2.87	exporticorp #1
-bar	Categories shall	18.32	8.98	7.81	scholarmaxi #9
-bar	Clear, top associations can activate all national factors. Items could think sure skills. Fine, thin classes must not help simply only statutory	28.26	6.27	4.57	brandbrand #10
-bar	Extended, local books calm now likely companies. Sometime rich instances improve spanish countries. Crucial flames take further. Rapidly big proposals may not photograph in the opt	12.64	0.55	0.19	namelessbrand #5
-bar	Hours must carry virtually new seats. Polish, happy affairs might get. Originally warm libraries operate real patients. Then soft scie	35.96	28.04	25.23	edu packedu pack #1
-bar	Individual flowers used to give thanks. Particular doubts refer a bit for a directions. Police could	8.31	1.74	1.21	exportiimporto #2
-bar	Low sorts understand. Vegetables must not carry. There legal rates shake so democratic styles. Convenient, single committees might forget	21.35	7.16	5.79	amalgedu pack #1
-bar	Minutes achieve however for a allies. Areas pay apparently alive officers	32.01	3.28	1.34	amalgedu pack #2
-bar	Moments incur pa	32.92	6.14	1.84	exportiimporto #1
-bar	Of course commercial uses look rapidly historical societies. Writers make just high	31.29	3.82	1.33	exportischolar #1
-bar	Old, valuable	23.07	0.23	0.07	namelessnameless #9
-bar	Other things get now. Quite eastern systems should not ask then new days; usual, good friends should work at a proposals. Highly pr	24.90	0.27	0.09	edu packnameless #1
-bar	Pupils change. Frequently nice rates shall not decide future yards. Over upper girls ought to lower in a developments. Formal	36.24	2.19	1.16	edu packexporti #1
-bar	Really foreign workers overcome asleep, young decades. Drugs may tell children; labour, real wages ev	13.88	4.24	2.96	scholarmaxi #9
-bar	Round managers take processes. Primary, particular courses used to hold sacred cases. C	7.23	4.13	2.84	edu packscholar #1
-bar	Simple guests leave british, skilled terms. Kind, little standards must suspect. Combinations may think like, distinguished inches. Artists beat awfully. Ide	27.08	1.68	0.53	edu packedu pack #2
-bar	So damp tests imagine resources. Innocently prime developments shall work small pl	30.83	0.61	0.33	scholarnameless #6
-bar	So much as close reforms would hide at first measures; alone, important contracts lose linguisti	20.14	2.37	1.37	exportinameless #1
-bar	Strange do	15.41	9.47	4.82	exportiexporti #1
-bar	Wide, technical paren	17.06	6.64	3.98	exportiexporti #1
-bar	Wonderful servants must not resolve once physical lives. Later significant an	27.44	0.33	0.22	brandbrand #7
-bar	Years need much. Good interests use too different, junior services. Young items shall not find. Disastrous hands release fast new, alternative applications. American police make in 	33.95	7.68	4.45	exportiamalg #1
-eing	Birds stay foreign, chronic parts. So young cases shall not conclude buildings. About important months may not look; degrees catch just; other societies may not ge	18.42	4.67	2.33	amalgscholar #2
-eing	Central, other hands will agree especially crucial differences	16.71	4.49	3.00	exportischolar #2
-eing	Even single waters make for instance particular hours. Mental rights may cross as just contemporary m	30.54	0.97	0.82	importounivamalg #5
-eing	Flowers cultivate still so-called, available	10.50	3.84	1.22	edu packmaxi #8
-eing	Good, helpful men close. Please difficult lakes should waste very conservative, labour 	11.84	3.13	0.97	edu packbrand #8
-eing	However modern companies ought to make industria	23.09	9.56	3.25	brandcorp #1
-eing	Important, frequent councils explore general, local ideas. Representatives last more. Foreign, sensible pupils pay. Social, american reservations used to get so much	2.86	0.59	0.25	amalgbrand #2
-eing	Increased, special pound	24.05	2.52	1.20	importoedu pack #2
-eing	Laws go shortly british, clear carers. Inner, available aspirations ought to abolish most armed strings. Activities gain then less high banks; never future reactions include so in a powers. Popular, 	30.53	9.69	7.46	edu packmaxi #8
-eing	Main pupils could expel followers. Sometimes severe horses should keep largely earnings. Years put recently permanent inst	19.15	9.17	6.05	maxinameless #2
-eing	More different attempts replace. Changes look shoes. E	25.75	2.47	1.40	amalgexporti #1
-eing	Nations save further new complaints. Perfect things murder different odds. General firms will like also; fatal grounds lie however working sorts. However internal police should design	23.32	8.09	3.31	amalgexporti #1
-eing	Ordinary orders can inspect. New int	34.66	9.58	3.92	exportiedu pack #2
-eing	Other, eager christians live very others. Young, financ	8.49	8.22	5.01	edu packscholar #1
-eing	Parliamentary guests could not convey real chiefs; integrated, full responsibilities take later then important categories. T	28.83	0.41	0.13	edu packamalg #1
-eing	Physical polls melt as eyes. Clear, special sources might invent at once. As immediate things will not	24.71	3.77	1.80	edu packamalg #2
-eing	Specifically honest pp. would ensure wide for a miles. Different families put then western, certain children. Only exciting commitments say f	10.89	0.51	0.26	edu packunivamalg #11
-eing	Students help factors. Seats take matters; likely sources make ridiculous children. Police might say then just natural characters. A	9.32	1.15	0.62	exportischolar #1
-eing	Tired days used to admit for a customs	29.84	5.94	4.93	importoamalg #1
-eing	Wrong, high terms make relatively holidays. Major, relevant theories consider difficult, new markets. Sure, real subjec	27.35	3.29	1.51	amalgscholar #2
-ese		29.58	\N	\N	exportischolar #1
-ese	As sure women fall proposals. Entire, loc	35.61	1.91	1.14	edu packexporti #1
-ese	Backwards royal assets get plans; countries used to swing then. Most strange	28.67	1.84	0.82	exportiedu pack #1
-ese	Civil firms say; prospective technologies used to take there. Easy, high assets enter so practical, structural buildings. Studies woul	26.23	9.09	3.45	maxiunivamalg #6
-ese	Comfortable experiments hit defensive implications. Bad resources would not heal central, national twins. Kind, modern thoughts shall ensure home short	34.17	92.12	71.85	importoedu pack #1
-ese	Companies find financially substances. National, enormous conclusions might object here firms; exactly different jobs should complete; practices encourage really months. Necessary, previous recor	24.08	5.63	3.71	importoamalgamalg #5
-ese	Democrats follow mostly available,	25.69	0.59	0.47	exportibrand #2
-ese	Excellent, real advantages would exist posts. Activities shall continue in a feet. Effects think only confidently local c	25.63	2.41	1.90	amalgunivamalg #11
-ese	Expensive reasons shall not carry hardly ri	19.68	4.59	1.46	scholarbrand #1
-ese	Fresh, industrial vegetables could proceed quite i	29.70	7.16	2.57	scholarunivamalg #8
-ese	Full rules may persuade pregnant cars. Earnings publish worried symptoms. Ready	36.87	5.88	4.99	amalgimporto #1
-ese	Horses last results. There thorough parents sail everywhere into a gua	23.67	3.45	2.55	scholarnameless #5
-ese	Large businessmen might give successful poles; children believe however. Hard, fine companies must not dismiss likely advantages. Now great nations shall not walk to	2.78	3.48	1.07	brandcorp #6
-ese	Modern areas include indeed political children. White, widespread services attend also. Pink boundaries explain early because of a letters. Often assistant men make never pale windows. Then inte	30.08	6.20	4.21	exportiedu pack #2
-ese	Nowhere sure shops ought to constitute by a conditions. Apparent hands shall not fit slightly general men. Oth	26.20	3.59	3.08	amalgscholar #1
-ese	Political, french streets used to introduce just labour 	21.21	1.59	1.38	edu packunivamalg #9
-ese	Publications could not judge; double deputies	35.52	6.30	2.39	edu packamalg #1
-ese	Reasonably direct interests turn. Certainly existing 	12.36	1.86	0.89	importoscholar #1
-ese	Temperatures reflect quite	34.31	0.90	0.45	scholarnameless #3
-ese	Tests will maintain only. Beautifully local banks make still; particular votes protect during a eyes. Contracts must understand primarily. Difficult countries cast in a 	19.06	4.13	2.68	edu packimporto #1
-ese	Totally pure styles would seek charges; values say. Normal, big activi	30.40	1.07	0.84	maxiunivamalg #5
-ese	Years want as a whole. Public eyes shall win against a books. Special minutes intensify stones. Alone, right fingers spring men. Ho	32.52	1.73	0.77	exportibrand #5
-ought	Active abilities depend smoothly by a 	30.54	2.40	1.44	importoexporti #1
-ought	Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the 	18.54	4.46	1.33	corpmaxi #11
-ought	At last political managers would get new, historic workers. Requirements seem loose shadows; activities carry favorite mothers; likely issues stand aside environmental, current funds; below	6.48	1.08	0.43	exportiexporti #1
-ought	Authorities used to leave exactly other co	15.13	2.14	0.72	exporticorp #5
-ought	Costs receive. British teachers evolve mentally only, new words. Good tickets give 	34.78	0.12	0.06	edu packexporti #1
-ought	European, happy homes shall not share. Double calls can cover just in order regular developments; inevitable rooms ought to promise according to a eyes. Normal attempts grow only, complex goods	12.84	8.03	4.57	univnameless #7
-ought	Full-time clothes discharge glad, concerned details. Customs must survive	10.29	8.52	6.73	exportiunivamalg #14
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q66.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q66.out
deleted file mode 100644
index e7473bf0c8..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q66.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q66 --
-	\N	Fairview	Williamson County	TN	United States	DHL,BARIAN	2001	9597806.95	11121820.57	8670867.91	8994786.04	10887248.09	14187671.36	9732598.41	19798897.07	21007842.34	21495513.67	34795669.17	33122997.94	\N	\N	\N	\N	\N	\N	\N	\N	\N	\N	\N	\N	21913594.59	32518476.51	24885662.72	25698343.86	33735910.61	35527031.58	25465193.48	53623238.66	51409986.76	54159173.90	92227043.25	83435390.84
-Bad cards must make.	621234	Fairview	Williamson County	TN	United States	DHL,BARIAN	2001	9506753.46	8008140.33	6116769.63	11973045.15	7756254.92	5352978.49	13733996.10	16418794.37	17212743.32	17042707.41	34304935.61	35324164.21	15.30	12.88	9.83	19.26	12.47	8.61	22.10	26.42	27.70	27.42	55.21	56.85	30534943.77	24481685.94	22178710.81	25695798.18	29954903.78	18084140.05	30805576.13	47156887.22	51158588.86	55759942.80	86253544.16	83451555.63
-Conventional childr	977787	Fairview	Williamson County	TN	United States	DHL,BARIAN	2001	8860645.55	14415813.74	6761497.23	11820654.76	8246260.69	6636877.49	11434492.25	25673812.14	23074206.96	21834581.94	26894900.53	33575091.74	9.05	14.73	6.90	12.08	8.43	6.78	11.69	26.25	23.58	22.32	27.50	34.33	23836085.83	32073313.37	25037904.18	22659895.86	21757401.03	24451608.10	21933001.85	55996703.43	57371880.44	62087214.51	82849910.15	88970319.31
-Doors canno	294242	Fairview	Williamson County	TN	United States	DHL,BARIAN	2001	6355232.31	10198920.36	10246200.97	12209716.50	8566998.28	8806316.81	9789405.60	16466584.88	26443785.61	27016047.80	33660589.67	27462468.62	21.58	34.65	34.81	41.49	29.10	29.91	33.26	55.95	89.86	91.81	114.38	93.32	22645143.09	24487254.60	24925759.42	30503655.27	26558160.29	20976233.52	29895796.09	56002198.38	53488158.53	76287235.46	82483747.59	88088266.69
-Important issues liv	138504	Fairview	Williamson County	TN	United States	DHL,BARIAN	2001	11748784.55	14351305.77	9896470.93	7990874.78	8879247.90	7362383.09	10011144.75	17741201.32	21346976.05	18074978.16	29675125.64	32545325.29	84.81	103.61	71.45	57.69	64.10	53.15	72.27	128.08	154.12	130.49	214.25	234.97	27204167.15	25980378.13	19943398.93	25710421.13	19484481.03	26346611.48	25075158.43	54094778.13	41066732.11	54547058.28	72465962.92	92770328.27
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q67_ignore_temporarily.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q67_ignore_temporarily.out
deleted file mode 100644
index 6fb6aa6459..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q67_ignore_temporarily.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q67_ignore_temporarily --
-\N	\N	\N	\N	\N	\N	\N	\N	3113996.92	2
-\N	\N	\N	\N	\N	\N	\N	\N	1019789218.69	1
-\N		\N	\N	\N	\N	\N	\N	1628997.00	3
-\N			\N	\N	\N	\N	\N	596191.74	4
-\N				\N	\N	\N	\N	102328.59	62
-\N				2000	\N	\N	\N	102328.59	62
-\N			ablepriablebarought	\N	\N	\N	\N	117683.53	38
-\N			ablepriablebarought	2000	\N	\N	\N	117683.53	38
-\N			antiationeinganti	\N	\N	\N	\N	142234.21	15
-\N			antiationeinganti	2000	\N	\N	\N	142234.21	15
-\N			barationableeing	\N	\N	\N	\N	133715.91	25
-\N			barationableeing	2000	\N	\N	\N	133715.91	25
-\N			barationableeing	2000	4	\N	\N	66366.69	100
-\N			eingcallyoughteing	\N	\N	\N	\N	100229.50	67
-\N			eingcallyoughteing	2000	\N	\N	\N	100229.50	67
-\N		brandmaxi #2	\N	\N	\N	\N	\N	102830.03	59
-\N		brandmaxi #2	oughteingought	\N	\N	\N	\N	102830.03	59
-\N		brandmaxi #2	oughteingought	2000	\N	\N	\N	102830.03	59
-\N		corpunivamalg #3	\N	\N	\N	\N	\N	87301.37	80
-\N		corpunivamalg #3	eseantin stationought	\N	\N	\N	\N	87301.37	80
-\N		corpunivamalg #3	eseantin stationought	2000	\N	\N	\N	87301.37	80
-\N		edu packamalg #2	\N	\N	\N	\N	\N	106947.83	48
-\N		edu packamalg #2	oughtn stn stese	\N	\N	\N	\N	106947.83	48
-\N		edu packamalg #2	oughtn stn stese	2000	\N	\N	\N	106947.83	48
-\N		edu packamalgamalg #17	\N	\N	\N	\N	\N	91126.70	77
-\N		edu packamalgamalg #17		\N	\N	\N	\N	91126.70	77
-\N		edu packamalgamalg #17		2000	\N	\N	\N	91126.70	77
-\N		edu packexporti #1	\N	\N	\N	\N	\N	163163.84	6
-\N		edu packexporti #1		\N	\N	\N	\N	163163.84	6
-\N		edu packexporti #1		2000	\N	\N	\N	163163.84	6
-\N		edu packexporti #1		2000	4	\N	\N	68406.85	97
-\N		exportischolar #2	\N	\N	\N	\N	\N	121562.94	31
-\N		exportischolar #2	prieingeseought	\N	\N	\N	\N	121562.94	31
-\N		exportischolar #2	prieingeseought	2000	\N	\N	\N	121562.94	31
-\N		importoedu pack #1	\N	\N	\N	\N	\N	154984.03	9
-\N		importoedu pack #1		\N	\N	\N	\N	154984.03	9
-\N		importoedu pack #1		2000	\N	\N	\N	154984.03	9
-\N		importoedu pack #1		2000	4	\N	\N	73781.23	90
-\N		namelesscorp #1	\N	\N	\N	\N	\N	148627.34	12
-\N		namelesscorp #1		\N	\N	\N	\N	148627.34	12
-\N		namelesscorp #1		2000	\N	\N	\N	148627.34	12
-\N		namelesscorp #1		2000	4	\N	\N	67371.60	98
-\N	archery	\N	\N	\N	\N	\N	\N	110088.99	44
-\N	archery	amalgmaxi #6	\N	\N	\N	\N	\N	110088.99	44
-\N	archery	amalgmaxi #6	antioughtn stought	\N	\N	\N	\N	110088.99	44
-\N	archery	amalgmaxi #6	antioughtn stought	2000	\N	\N	\N	110088.99	44
-\N	baseball	\N	\N	\N	\N	\N	\N	93607.10	73
-\N	baseball		\N	\N	\N	\N	\N	93607.10	73
-\N	baseball			\N	\N	\N	\N	93607.10	73
-\N	baseball			2000	\N	\N	\N	93607.10	73
-\N	dresses	\N	\N	\N	\N	\N	\N	138018.80	17
-\N	dresses		\N	\N	\N	\N	\N	138018.80	17
-\N	dresses		antieseoughtcally	\N	\N	\N	\N	138018.80	17
-\N	dresses		antieseoughtcally	2000	\N	\N	\N	138018.80	17
-\N	dresses		antieseoughtcally	2000	4	\N	\N	69138.80	96
-\N	flatware	\N	\N	\N	\N	\N	\N	74808.21	86
-\N	flatware		\N	\N	\N	\N	\N	74808.21	86
-\N	flatware		oughteingationn st	\N	\N	\N	\N	74808.21	86
-\N	flatware		oughteingationn st	2000	\N	\N	\N	74808.21	86
-\N	glassware	\N	\N	\N	\N	\N	\N	98111.30	69
-\N	glassware		\N	\N	\N	\N	\N	98111.30	69
-\N	glassware			\N	\N	\N	\N	98111.30	69
-\N	glassware			2000	\N	\N	\N	98111.30	69
-\N	outdoor	\N	\N	\N	\N	\N	\N	115448.60	40
-\N	outdoor	namelessnameless #3	\N	\N	\N	\N	\N	115448.60	40
-\N	outdoor	namelessnameless #3		\N	\N	\N	\N	115448.60	40
-\N	outdoor	namelessnameless #3		2000	\N	\N	\N	115448.60	40
-\N	pants	\N	\N	\N	\N	\N	\N	135855.95	21
-\N	pants	exportiimporto #2	\N	\N	\N	\N	\N	135855.95	21
-\N	pants	exportiimporto #2	antibarableableought	\N	\N	\N	\N	135855.95	21
-\N	pants	exportiimporto #2	antibarableableought	2000	\N	\N	\N	135855.95	21
-\N	pants	exportiimporto #2	antibarableableought	2000	4	\N	\N	66808.00	99
-\N	scanners	\N	\N	\N	\N	\N	\N	118366.60	34
-\N	scanners	namelessunivamalg #10	\N	\N	\N	\N	\N	118366.60	34
-\N	scanners	namelessunivamalg #10	n stbaresepri	\N	\N	\N	\N	118366.60	34
-\N	scanners	namelessunivamalg #10	n stbaresepri	2000	\N	\N	\N	118366.60	34
-\N	scanners	namelessunivamalg #10	n stbaresepri	2000	4	\N	\N	70357.97	95
-\N	semi-precious	\N	\N	\N	\N	\N	\N	105040.42	51
-\N	semi-precious	amalgbrand #4	\N	\N	\N	\N	\N	105040.42	51
-\N	semi-precious	amalgbrand #4	ationeseoughtanti	\N	\N	\N	\N	105040.42	51
-\N	semi-precious	amalgbrand #4	ationeseoughtanti	2000	\N	\N	\N	105040.42	51
-\N	sports-apparel	\N	\N	\N	\N	\N	\N	104579.05	55
-\N	sports-apparel		\N	\N	\N	\N	\N	104579.05	55
-\N	sports-apparel			\N	\N	\N	\N	104579.05	55
-\N	sports-apparel			2000	\N	\N	\N	104579.05	55
-\N	swimwear	\N	\N	\N	\N	\N	\N	132397.04	27
-\N	swimwear	edu packamalg #2	\N	\N	\N	\N	\N	132397.04	27
-\N	swimwear	edu packamalg #2	antieingoughtcally	\N	\N	\N	\N	132397.04	27
-\N	swimwear	edu packamalg #2	antieingoughtcally	2000	\N	\N	\N	132397.04	27
-\N	tennis	\N	\N	\N	\N	\N	\N	73252.58	91
-\N	tennis		\N	\N	\N	\N	\N	73252.58	91
-\N	tennis		barpribaranti	\N	\N	\N	\N	73252.58	91
-\N	tennis		barpribaranti	2000	\N	\N	\N	73252.58	91
-\N	womens	\N	\N	\N	\N	\N	\N	180234.29	5
-\N	womens		\N	\N	\N	\N	\N	78649.41	83
-\N	womens			\N	\N	\N	\N	78649.41	83
-\N	womens			2000	\N	\N	\N	78649.41	83
-\N	womens	amalgedu pack #2	\N	\N	\N	\N	\N	101584.88	64
-\N	womens	amalgedu pack #2		\N	\N	\N	\N	101584.88	64
-\N	womens	amalgedu pack #2		2000	\N	\N	\N	101584.88	64
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q68.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q68.out
deleted file mode 100644
index 700b85cc76..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q68.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q68 --
-		Unionville	Woodlawn	70	14472.01	383.45	27139.95
-		Midway	Oakwood	11488	13314.57	425.70	30008.53
-	Michael	Oak Grove		15164	21737.79	924.75	43426.33
-	Rene	Caledonia	Stringtown	16638	20732.47	915.66	38600.63
-	John	Parkwood	Edgewood	24159	24087.46	1200.55	51305.29
-	Ana	Deerfield	Jamestown	26329	37277.21	1346.72	65078.34
-	Kent	Wilson	Mountain View	27855	34594.01	1145.23	61220.01
-	Rene	Caledonia	Spring Valley	30016	48048.11	1969.99	88469.89
-		Clinton	Redland	36631	20981.79	1799.58	26288.30
-	Donna	Oak Hill	Sulphur Springs	36870	25603.09	1331.75	53982.97
-		Sunnyside	Newtown	40831	22656.49	1011.26	54581.80
-	Karen	Greenfield	Friendship	40841	15048.50	678.00	45109.61
-		Salem		43618	22846.68	794.43	43131.47
-		Shiloh	Oakland	46266	25416.89	1427.81	45735.58
-	Joshua	Lakeside	Highland Park	46736	29566.29	1020.12	55274.62
-		Newport	Bunker Hill	47193	37645.73	1195.20	72749.99
-		Guilford	Wildwood	49651	14471.24	513.47	32498.08
-		Leon	Five Points	50330	18970.87	926.99	49138.72
-		Salem	Mount Pleasant	50365	26947.72	531.11	39988.78
-		Brownsville	Walnut Grove	53883	23832.80	1031.26	32052.94
-		Shelby	Clifton	54573	25576.31	723.92	42159.67
-	Larry	Oak Hill	Five Points	54597	31630.41	1432.78	55835.87
-		Dallas	Shady Grove	55706	22011.96	313.15	53826.72
-	Tabatha	Harmony	Greenfield	56102	17377.84	420.63	38464.67
-	Shannon	Brownsville	Deerfield	57279	31806.93	1450.73	59987.95
-		Centerville	Providence	62604	6898.02	324.99	30892.81
-		Springfield	Florence	77578	11201.04	573.75	39745.55
-		Fairview	Florence	90439	18472.43	665.54	45369.45
-	Lillian	Fairview	Pleasant Hill	90533	32594.36	1558.26	66144.34
-		White Oak	Florence	92664	13525.33	462.86	28408.35
-		Morris	Sullivan	97140	13728.72	455.24	22377.36
-	Malcolm	Spring Hill	Bridgeport	97846	27789.25	1441.65	70190.53
-	Andrew	Centerville	Plainview	98661	40661.38	973.31	79995.51
-	James	Riverview	Valley View	99563	22376.23	546.85	42749.50
-	Juanita	Waterloo	Georgetown	100509	26660.53	676.41	51566.27
-		Shady Grove	Clifford	103990	20797.70	1019.91	44546.93
-		Florence	Spring Hill	104935	19660.92	1221.31	44977.11
-	David	Florence	Springdale	108460	17730.57	647.69	43637.79
-	Frank	Riverview	Waterloo	109144	18721.91	846.02	29241.20
-		Buena Vista	Griffin	109500	35164.09	1692.37	53432.26
-		Wilson	Jamestown	111773	21025.19	845.83	39863.08
-	Melvin	Woodville	Harmony	115030	15067.30	734.83	31515.14
-	Ricky	Stringtown	Glenwood	120194	22030.71	790.40	54088.54
-	John	Fairview	Lakeside	123374	21712.42	1337.39	31640.02
-	Ralph	Valley View	Harmony	125234	17152.89	603.81	43572.89
-			Bunker Hill	133136	15951.17	341.13	30764.94
-	Bernadette	Ashland	Pleasant Grove	134217	6757.46	306.65	17709.08
-	Joseph	Springdale	Lakeside	134343	17381.47	748.31	37418.87
-	Lacey	Jamestown	Riverside	134462	10125.84	293.43	26180.45
-	Warren	Bunker Hill	Greenville	134828	10481.74	350.80	19160.46
-	Gertrude	Greenwood	Macedonia	137410	33678.21	1866.59	47276.52
-		Galena	Sulphur Springs	137765	12788.84	545.88	35276.70
-		Forest Hills	Argyle	139387	14190.66	566.22	26171.36
-	James	Shiloh	Wesley	142680	28622.37	1046.33	61645.20
-	Susan	Green Acres	Liberty	143399	13352.11	880.61	30549.47
-	Willie	Freeport	Wyoming	147738	15265.05	608.18	43336.34
-		Walnut Grove	Willow	147740	24550.37	1403.66	47888.99
-	Jack	Oakwood	Liberty	149758	18006.16	299.45	37000.83
-		Pleasant Hill	Waterloo	156554	20178.41	1143.87	34449.89
-		Five Points	Tracy	159202	32371.98	1162.21	65641.10
-		Glendale	Mount Pleasant	159389	19529.56	568.73	42661.40
-	Victor	Providence	Antioch	161524	14173.12	860.07	26079.25
-		Pleasant Grove	Newtown	164893	15334.29	612.95	39959.97
-		Centerville		171076	6706.91	269.11	19594.55
-	Raymond	Springfield	Greenfield	174183	26633.39	1132.88	66071.66
-		Mount Zion	Greenwood	174923	17133.91	313.95	51727.01
-		Kingston	Wildwood	176614	38949.49	2260.34	62962.63
-		Springfield	Jackson	176898	22035.46	785.41	36552.00
-	George	Pleasant Grove	Shiloh	179953	18237.84	607.57	44135.38
-		Newtown	Union Hill	186823	18161.92	709.16	27119.67
-	Antone	Antioch	Forest Hills	192973	14507.02	841.86	34973.08
-	Violet	Woodlawn	Woodville	193534	17536.20	1067.01	30308.64
-	Emiko	Liberty	Oakdale	193771	9730.58	249.23	22985.99
-		Mountain View	Deerfield	194436	16962.72	773.97	33070.54
-		Georgetown	Forest Hills	195266	11924.71	382.35	28208.78
-	Roy	Georgetown	Riverside	200033	35666.28	644.10	62654.54
-	Barbara	Westgate	Crossroads	202167	17296.28	1017.79	30562.26
-	Diane	Five Points	Mount Zion	203347	26281.72	533.37	42267.33
-	Andrew	Shiloh	Mount Zion	205712	18320.09	575.85	32773.59
-		Mount Pleasant	Greenville	206301	20248.08	682.37	57143.50
-		Waterloo	Spring Hill	206784	21355.86	1366.98	37107.65
-		Littleton	Walnut Grove	209023	22998.20	640.55	41076.55
-	Norman	Jamestown	Farmington	218063	37475.56	1480.70	61106.57
-		Hillcrest	Valley View	218569	37536.35	1322.01	54952.26
-	Douglas	Crossroads	Sunnyside	218776	22822.92	884.66	42559.53
-		Summit	Concord	224470	17167.29	893.49	36546.18
-	Joshua	Five Points	Hopewell	227114	19755.36	674.30	28406.59
-		Edgewood	Belmont	230383	14998.93	844.15	26544.25
-		Franklin	Floyd	230648	16319.23	871.53	38604.51
-	Joseph	Lakewood	Mount Olive	231104	34934.39	1256.89	55986.84
-	Marti	Greenwood	Providence	231861	18475.92	694.12	33988.12
-		Deerfield	Lakeside	232906	18068.60	650.65	43837.36
-		Fisher		234655	20093.46	279.93	39719.79
-		Lakeside	Jackson	235093	15888.52	457.78	39640.17
-Aaron	Guy	Lakeside	Mount Pleasant	210815	24704.66	678.88	45673.18
-Abbott	Joseph	Greenfield	Midway	62751	37795.50	1086.40	53385.17
-Abbott	Harriet	Wesley	Forest Hills	84405	23666.36	1274.86	45689.64
-Abney	Louis	Gladstone	Green Acres	140967	20698.82	491.86	48086.21
-Acevedo	David	Clinton	Shady Grove	131505	22075.16	772.60	46961.99
-Acosta	Johnnie	Centerville	Enterprise	69183	21688.97	1059.74	34387.30
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q69.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q69.out
deleted file mode 100644
index 340fcba2f4..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q69.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q69 --
-F	D	2 yr Degree	1	2500	1	Low Risk	1
-F	D	2 yr Degree	1	4500	1	Good	1
-F	D	2 yr Degree	2	4500	2	Low Risk	2
-F	D	2 yr Degree	1	9000	1	Good	1
-F	D	2 yr Degree	1	9500	1	Good	1
-F	D	4 yr Degree	1	1000	1	Low Risk	1
-F	D	4 yr Degree	1	1500	1	Low Risk	1
-F	D	4 yr Degree	1	1500	1	Unknown	1
-F	D	4 yr Degree	1	2000	1	Good	1
-F	D	4 yr Degree	1	2500	1	Unknown	1
-F	D	4 yr Degree	1	4000	1	Unknown	1
-F	D	4 yr Degree	1	5500	1	Good	1
-F	D	4 yr Degree	1	7000	1	Good	1
-F	D	4 yr Degree	1	7000	1	High Risk	1
-F	D	4 yr Degree	1	8000	1	High Risk	1
-F	D	4 yr Degree	1	8500	1	Unknown	1
-F	D	Advanced Degree	1	1000	1	Good	1
-F	D	Advanced Degree	1	3500	1	Good	1
-F	D	Advanced Degree	1	3500	1	High Risk	1
-F	D	Advanced Degree	1	4000	1	High Risk	1
-F	D	Advanced Degree	1	5000	1	High Risk	1
-F	D	Advanced Degree	1	5500	1	Good	1
-F	D	Advanced Degree	1	5500	1	Low Risk	1
-F	D	Advanced Degree	1	6500	1	Low Risk	1
-F	D	Advanced Degree	1	7000	1	High Risk	1
-F	D	Advanced Degree	1	8000	1	Low Risk	1
-F	D	Advanced Degree	1	8500	1	High Risk	1
-F	D	Advanced Degree	1	9500	1	Low Risk	1
-F	D	Advanced Degree	1	9500	1	Unknown	1
-F	D	Advanced Degree	1	10000	1	Low Risk	1
-F	D	College	1	1500	1	Low Risk	1
-F	D	College	1	2500	1	Good	1
-F	D	College	1	4000	1	High Risk	1
-F	D	College	1	6000	1	Good	1
-F	D	College	1	6000	1	High Risk	1
-F	D	College	1	9000	1	High Risk	1
-F	D	Primary	1	3000	1	High Risk	1
-F	D	Primary	1	4000	1	Low Risk	1
-F	D	Primary	1	4000	1	Unknown	1
-F	D	Primary	1	4500	1	Unknown	1
-F	D	Primary	1	5000	1	High Risk	1
-F	D	Primary	1	5000	1	Unknown	1
-F	D	Primary	1	6000	1	Good	1
-F	D	Primary	1	6000	1	Unknown	1
-F	D	Primary	1	8500	1	Unknown	1
-F	D	Primary	1	9000	1	Unknown	1
-F	D	Primary	1	9500	1	High Risk	1
-F	D	Primary	1	9500	1	Unknown	1
-F	D	Primary	1	10000	1	Good	1
-F	D	Primary	2	10000	2	Low Risk	2
-F	D	Secondary	1	500	1	Low Risk	1
-F	D	Secondary	1	1000	1	High Risk	1
-F	D	Secondary	1	3000	1	Good	1
-F	D	Secondary	1	3500	1	Good	1
-F	D	Secondary	1	6000	1	Low Risk	1
-F	D	Secondary	1	6500	1	Unknown	1
-F	D	Secondary	1	8500	1	High Risk	1
-F	D	Secondary	1	10000	1	Low Risk	1
-F	D	Unknown	1	1500	1	High Risk	1
-F	D	Unknown	1	3000	1	Good	1
-F	D	Unknown	1	3000	1	High Risk	1
-F	D	Unknown	1	6000	1	Good	1
-F	D	Unknown	1	6500	1	High Risk	1
-F	D	Unknown	2	8000	2	Low Risk	2
-F	D	Unknown	1	10000	1	Unknown	1
-F	M	2 yr Degree	1	2500	1	Low Risk	1
-F	M	2 yr Degree	3	4000	3	Unknown	3
-F	M	2 yr Degree	1	4500	1	Low Risk	1
-F	M	2 yr Degree	1	8500	1	High Risk	1
-F	M	4 yr Degree	1	1000	1	Good	1
-F	M	4 yr Degree	1	1500	1	Good	1
-F	M	4 yr Degree	1	4000	1	Low Risk	1
-F	M	4 yr Degree	1	4000	1	Unknown	1
-F	M	4 yr Degree	1	5000	1	Unknown	1
-F	M	4 yr Degree	1	5500	1	Low Risk	1
-F	M	4 yr Degree	1	6000	1	Good	1
-F	M	4 yr Degree	1	8000	1	High Risk	1
-F	M	Advanced Degree	1	500	1	Low Risk	1
-F	M	Advanced Degree	1	500	1	Unknown	1
-F	M	Advanced Degree	1	2500	1	Good	1
-F	M	Advanced Degree	1	3500	1	High Risk	1
-F	M	Advanced Degree	2	5500	2	Unknown	2
-F	M	Advanced Degree	1	6500	1	Good	1
-F	M	Advanced Degree	1	6500	1	Unknown	1
-F	M	Advanced Degree	1	8000	1	Low Risk	1
-F	M	Advanced Degree	1	9500	1	Good	1
-F	M	Advanced Degree	1	10000	1	Low Risk	1
-F	M	College	1	1000	1	Unknown	1
-F	M	College	1	3000	1	Good	1
-F	M	College	2	5000	2	High Risk	2
-F	M	College	1	6000	1	Low Risk	1
-F	M	College	1	7000	1	High Risk	1
-F	M	College	1	8000	1	Good	1
-F	M	College	1	9000	1	Good	1
-F	M	College	2	9000	2	High Risk	2
-F	M	College	1	9500	1	High Risk	1
-F	M	College	1	10000	1	High Risk	1
-F	M	Primary	1	1000	1	Low Risk	1
-F	M	Primary	1	1500	1	High Risk	1
-F	M	Primary	1	7000	1	Good	1
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q70.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q70.out
deleted file mode 100644
index 83acfd2ba3..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q70.out
+++ /dev/null
@@ -1,6 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q70 --
--440986113.22	\N	\N	2	1
--440986113.22	TN	\N	1	1
--440986113.22	TN	Williamson County	0	1
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q71.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q71.out
deleted file mode 100644
index 5223bf4357..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q71.out
+++ /dev/null
@@ -1,1021 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q71 --
-5004002	edu packscholar #2	19	31	20021.76
-7012010	importonameless #10	7	2	17142.78
-4004001	edu packedu pack #1	9	23	16687.92
-3003001	exportiexporti #1	19	37	16531.50
-6012008	importobrand #8	19	41	16055.65
-2001002	amalgimporto #2	17	32	15801.28
-3001001	amalgexporti #1	17	25	15765.36
-9014011	edu packunivamalg #11	18	32	15347.28
-4003001	exportiedu pack #1	8	34	14784.50
-1002002	importoamalg #2	8	13	13246.16
-10004001	edu packunivamalg #1	19	56	13160.28
-2002001	importoimporto #1	17	24	12932.04
-9008002	namelessmaxi #2	19	23	12759.38
-6002003	importocorp #3	19	52	12649.84
-1001002	amalgamalg #2	19	15	12395.76
-6005001	scholarcorp #1	6	58	12395.37
-6008005	namelesscorp #5	17	47	12252.44
-5001001	amalgscholar #1	9	28	12171.40
-5003001	exportischolar #1	17	45	12101.22
-7010004	univnameless #4	17	51	12082.56
-6016003	corpbrand #3	8	6	11902.80
-5003001	exportischolar #1	19	35	11523.60
-6002005	importocorp #5	7	54	11026.50
-6005001	scholarcorp #1	17	13	10941.60
-3002001	importoexporti #1	19	43	10914.60
-6005001	scholarcorp #1	7	39	10787.84
-8013009	exportimaxi #9	19	26	10683.66
-1001001	amalgamalg #1	17	48	10597.73
-8005005	scholarnameless #5	19	51	10488.40
-7015007	scholarnameless #7	17	8	10338.06
-3003001	exportiexporti #1	19	24	10307.88
-2003002	exportiimporto #2	6	53	10190.88
-7012010	importonameless #10	18	40	10119.62
-1003002	exportiamalg #2	8	58	10023.00
-4001001	amalgedu pack #1	19	59	9881.19
-10003004	exportiunivamalg #4	17	27	9719.37
-7014001	edu packnameless #1	17	56	9606.96
-9016003	corpunivamalg #3	9	42	9576.26
-6016003	corpbrand #3	8	35	9497.90
-7013007	exportinameless #7	18	20	9426.12
-5001001	amalgscholar #1	17	44	9369.40
-7016001	corpnameless #1	9	8	9319.91
-1004002	edu packamalg #2	19	26	9298.01
-7015007	scholarnameless #7	18	47	9254.90
-3003001	exportiexporti #1	17	21	9190.80
-2002001	importoimporto #1	6	34	9043.24
-10015004	scholaramalgamalg #4	17	46	9033.72
-5003002	exportischolar #2	8	54	9007.28
-7012010	importonameless #10	19	42	8888.32
-10013015	exportiamalgamalg #15	9	18	8828.12
-4004001	edu packedu pack #1	18	50	8728.56
-3002001	importoexporti #1	19	4	8664.04
-7001005	amalgbrand #5	8	59	8656.83
-2003002	exportiimporto #2	9	31	8513.40
-3002001	importoexporti #1	19	45	8497.28
-1001001	amalgamalg #1	19	3	8431.69
-9016003	corpunivamalg #3	18	8	8380.89
-10002012	importounivamalg #12	17	1	8360.00
-8016004	corpmaxi #4	17	34	8241.06
-2004002	edu packimporto #2	19	14	8165.73
-2001002	amalgimporto #2	17	34	8160.75
-5002001	importoscholar #1	9	22	8143.74
-2003001	exportiimporto #1	9	59	8113.05
-6007003	brandcorp #3	6	9	8053.44
-10015004	scholaramalgamalg #4	17	58	7966.40
-5002001	importoscholar #1	19	59	7964.88
-2003001	exportiimporto #1	9	17	7900.62
-8002009	importonameless #9	18	28	7891.65
-7013007	exportinameless #7	19	49	7855.88
-3003001	exportiexporti #1	19	49	7845.76
-3001001	amalgexporti #1	7	26	7840.00
-3004001	edu packexporti #1	18	0	7698.24
-6011005	amalgbrand #5	17	13	7649.00
-8013007	exportimaxi #7	18	32	7629.60
-2003002	exportiimporto #2	18	26	7621.35
-1003002	exportiamalg #2	18	35	7620.51
-2004001	edu packimporto #1	17	3	7568.00
-3001001	amalgexporti #1	19	1	7502.67
-7010009	univnameless #9	9	5	7459.82
-3002001	importoexporti #1	19	3	7400.40
-5002002	importoscholar #2	19	19	7349.90
-1003002	exportiamalg #2	9	41	7345.80
-6002005	importocorp #5	19	43	7341.75
-2003001	exportiimporto #1	8	42	7326.20
-6012008	importobrand #8	9	53	7286.37
-10003016	exportiunivamalg #16	19	43	7272.65
-3003002	exportiexporti #2	7	31	7195.50
-8016004	corpmaxi #4	18	55	7186.20
-6011001	amalgbrand #1	9	18	7129.56
-6005001	scholarcorp #1	9	44	7129.00
-5003001	exportischolar #1	17	28	7029.12
-3002001	importoexporti #1	9	59	6964.25
-6008007	namelesscorp #7	18	47	6953.36
-7001005	amalgbrand #5	8	12	6940.96
-1002002	importoamalg #2	18	51	6924.69
-5001001	amalgscholar #1	19	57	6841.12
-6015006	scholarbrand #6	18	23	6755.76
-5002002	importoscholar #2	19	31	6745.90
-2004002	edu packimporto #2	17	2	6744.98
-5003001	exportischolar #1	9	24	6694.80
-10002012	importounivamalg #12	18	16	6634.95
-5004001	edu packscholar #1	8	19	6527.50
-5003001	exportischolar #1	9	53	6525.33
-1004002	edu packamalg #2	17	32	6524.70
-1002001	importoamalg #1	17	22	6511.08
-3002002	importoexporti #2	19	13	6487.20
-10002012	importounivamalg #12	18	3	6471.90
-3003001	exportiexporti #1	17	9	6450.60
-4004002	edu packedu pack #2	17	3	6447.42
-1002001	importoamalg #1	6	6	6334.24
-10009015	maxiunivamalg #15	8	32	6322.29
-10012004	importoamalgamalg #4	6	49	6234.24
-10012011	importoamalgamalg #11	19	27	6218.47
-9008002	namelessmaxi #2	17	41	6207.45
-3002001	importoexporti #1	18	3	6203.20
-7004007	edu packbrand #7	9	23	6173.10
-1004002	edu packamalg #2	17	2	6118.65
-5001002	amalgscholar #2	18	15	6118.20
-6012005	importobrand #5	17	30	6063.57
-1003002	exportiamalg #2	18	52	6013.26
-4003001	exportiedu pack #1	9	54	5994.50
-3003001	exportiexporti #1	19	38	5990.76
-7010003	univnameless #3	19	4	5952.32
-3002001	importoexporti #1	18	50	5950.48
-9012003	importounivamalg #3	8	30	5922.09
-1004001	edu packamalg #1	17	57	5860.74
-8013009	exportimaxi #9	9	53	5808.00
-10010013	univamalgamalg #13	7	11	5799.04
-10003004	exportiunivamalg #4	18	18	5692.22
-8002009	importonameless #9	19	33	5633.00
-1003001	exportiamalg #1	7	57	5617.50
-10010013	univamalgamalg #13	17	7	5590.62
-5003001	exportischolar #1	7	44	5589.90
-6006007	corpcorp #7	6	1	5578.24
-9008002	namelessmaxi #2	17	33	5547.78
-10003016	exportiunivamalg #16	17	55	5519.20
-5002001	importoscholar #1	18	2	5471.54
-10012017	importoamalgamalg #17	18	54	5415.90
-10012011	importoamalgamalg #11	18	17	5384.79
-1004002	edu packamalg #2	9	53	5382.72
-7016001	corpnameless #1	17	32	5382.09
-9008005	namelessmaxi #5	6	9	5382.09
-2001001	amalgimporto #1	6	40	5295.40
-3002001	importoexporti #1	6	40	5245.80
-1002002	importoamalg #2	18	15	5240.76
-3004001	edu packexporti #1	9	36	5218.56
-5003001	exportischolar #1	17	14	5214.72
-3003002	exportiexporti #2	19	5	5201.25
-2004002	edu packimporto #2	9	41	5165.58
-9013009	exportiunivamalg #9	7	31	5155.29
-2003001	exportiimporto #1	18	28	5107.41
-3003001	exportiexporti #1	17	56	5104.62
-6015006	scholarbrand #6	19	58	5080.60
-3003001	exportiexporti #1	8	32	5008.64
-10004001	edu packunivamalg #1	9	20	5002.40
-8013007	exportimaxi #7	19	3	4989.95
-8016004	corpmaxi #4	19	8	4979.25
-6003008	exporticorp #8	18	38	4955.40
-3002002	importoexporti #2	8	51	4938.16
-8014005	edu packmaxi #5	19	38	4893.48
-5003001	exportischolar #1	18	1	4889.22
-6003008	exporticorp #8	9	18	4794.00
-5002001	importoscholar #1	19	9	4787.43
-4003001	exportiedu pack #1	9	51	4781.14
-9015009	scholarunivamalg #9	8	52	4774.34
-5002002	importoscholar #2	6	3	4774.25
-1001002	amalgamalg #2	19	31	4758.75
-5002002	importoscholar #2	19	15	4754.40
-2003001	exportiimporto #1	9	32	4723.95
-3003001	exportiexporti #1	19	40	4711.07
-10003004	exportiunivamalg #4	19	43	4701.06
-2001002	amalgimporto #2	19	9	4681.05
-7014001	edu packnameless #1	6	35	4646.40
-5001001	amalgscholar #1	17	56	4638.84
-6010005	univbrand #5	19	23	4606.83
-1004002	edu packamalg #2	7	0	4599.14
-6016003	corpbrand #3	17	33	4592.04
-4001001	amalgedu pack #1	17	8	4586.22
-9012005	importounivamalg #5	19	59	4581.56
-3002001	importoexporti #1	17	5	4561.20
-10012011	importoamalgamalg #11	18	29	4531.45
-6008005	namelesscorp #5	18	27	4498.44
-1003001	exportiamalg #1	19	4	4483.98
-5003001	exportischolar #1	18	31	4452.80
-3002002	importoexporti #2	18	52	4436.80
-1003002	exportiamalg #2	9	38	4428.98
-1004002	edu packamalg #2	9	55	4427.52
-5003001	exportischolar #1	19	2	4412.78
-1003002	exportiamalg #2	18	53	4374.72
-6005001	scholarcorp #1	17	55	4367.72
-9012008	importounivamalg #8	18	11	4354.35
-5002001	importoscholar #1	18	32	4324.52
-7013007	exportinameless #7	18	47	4323.55
-9013009	exportiunivamalg #9	17	42	4321.92
-4004001	edu packedu pack #1	8	22	4316.62
-8004003	edu packnameless #3	17	23	4282.17
-2004002	edu packimporto #2	7	56	4267.90
-1003002	exportiamalg #2	9	49	4255.80
-7013007	exportinameless #7	19	42	4252.78
-9015011	scholarunivamalg #11	8	55	4235.00
-1002002	importoamalg #2	17	0	4183.34
-6010005	univbrand #5	9	27	4172.35
-6007003	brandcorp #3	19	33	4146.75
-2004001	edu packimporto #1	19	33	4138.56
-6005001	scholarcorp #1	19	55	4137.88
-6016003	corpbrand #3	9	41	4100.88
-9014011	edu packunivamalg #11	17	50	4100.40
-5003001	exportischolar #1	18	17	4099.20
-5003001	exportischolar #1	9	28	4064.76
-1004002	edu packamalg #2	17	16	4061.68
-10012017	importoamalgamalg #17	8	53	4045.00
-4004001	edu packedu pack #1	17	15	4028.96
-6002005	importocorp #5	17	22	4011.30
-4003001	exportiedu pack #1	9	42	3952.59
-7004007	edu packbrand #7	7	19	3943.82
-10002012	importounivamalg #12	19	19	3925.48
-10009015	maxiunivamalg #15	7	51	3912.99
-4001001	amalgedu pack #1	17	55	3890.08
-10002012	importounivamalg #12	18	10	3870.00
-10004001	edu packunivamalg #1	18	13	3864.00
-5004002	edu packscholar #2	18	50	3863.88
-6008002	namelesscorp #2	18	38	3841.04
-1001001	amalgamalg #1	19	44	3818.40
-10002012	importounivamalg #12	17	51	3766.14
-2004001	edu packimporto #1	18	4	3757.34
-10003004	exportiunivamalg #4	7	34	3756.20
-9012008	importounivamalg #8	18	56	3735.84
-5001001	amalgscholar #1	19	12	3735.76
-7015007	scholarnameless #7	17	55	3734.28
-2001002	amalgimporto #2	8	51	3725.90
-5002002	importoscholar #2	17	38	3709.44
-7016007	corpnameless #7	19	53	3701.95
-8002009	importonameless #9	9	18	3686.90
-8014005	edu packmaxi #5	18	43	3649.00
-9008002	namelessmaxi #2	17	52	3635.28
-5001001	amalgscholar #1	19	19	3617.97
-4003001	exportiedu pack #1	17	43	3598.98
-6009003	maxicorp #3	17	6	3596.58
-7012003	importonameless #3	9	29	3573.75
-9012003	importounivamalg #3	17	2	3568.96
-1001002	amalgamalg #2	19	59	3542.94
-1001002	amalgamalg #2	18	37	3522.98
-8011009	amalgmaxi #9	19	35	3485.72
-1003002	exportiamalg #2	19	58	3423.80
-1001002	amalgamalg #2	18	25	3408.48
-4004002	edu packedu pack #2	17	2	3400.05
-6008007	namelesscorp #7	18	16	3395.62
-5002002	importoscholar #2	6	23	3383.10
-1002002	importoamalg #2	9	48	3374.00
-4003001	exportiedu pack #1	8	33	3358.72
-5001001	amalgscholar #1	18	27	3326.04
-3002002	importoexporti #2	17	18	3304.55
-7010004	univnameless #4	18	7	3301.28
-9016003	corpunivamalg #3	8	42	3279.18
-6016003	corpbrand #3	9	9	3262.08
-7015007	scholarnameless #7	9	48	3249.72
-8004003	edu packnameless #3	18	44	3232.48
-5003002	exportischolar #2	9	47	3222.66
-1002002	importoamalg #2	8	37	3220.80
-3004001	edu packexporti #1	7	56	3218.22
-3001001	amalgexporti #1	17	10	3217.50
-7010009	univnameless #9	18	26	3215.11
-1002001	importoamalg #1	17	46	3195.24
-2004002	edu packimporto #2	18	46	3194.31
-5001001	amalgscholar #1	17	54	3180.02
-7008009	namelessbrand #9	17	52	3146.96
-2004002	edu packimporto #2	17	46	3144.40
-3004001	edu packexporti #1	19	14	3127.20
-7010004	univnameless #4	9	16	3126.90
-3001001	amalgexporti #1	8	38	3125.32
-1003001	exportiamalg #1	19	10	3110.49
-6012008	importobrand #8	19	13	3101.32
-1003002	exportiamalg #2	8	56	3097.12
-6005001	scholarcorp #1	8	14	3096.90
-6016003	corpbrand #3	19	31	3094.50
-7010004	univnameless #4	19	4	3093.35
-10002012	importounivamalg #12	18	0	3063.20
-2004001	edu packimporto #1	19	4	3051.40
-8014005	edu packmaxi #5	17	40	3049.76
-1001001	amalgamalg #1	18	49	3045.12
-3004001	edu packexporti #1	7	50	3029.00
-10012017	importoamalgamalg #17	18	26	3027.72
-1003001	exportiamalg #1	8	35	3007.26
-8005005	scholarnameless #5	6	50	2972.97
-1003002	exportiamalg #2	8	25	2957.35
-4001001	amalgedu pack #1	9	12	2930.95
-1002002	importoamalg #2	9	9	2926.95
-6008005	namelesscorp #5	9	1	2902.58
-3002002	importoexporti #2	17	15	2902.20
-2001002	amalgimporto #2	19	47	2894.46
-1003001	exportiamalg #1	9	58	2871.44
-9012005	importounivamalg #5	18	34	2864.88
-3003002	exportiexporti #2	18	8	2844.00
-10013013	exportiamalgamalg #13	8	0	2831.12
-5002001	importoscholar #1	17	38	2822.47
-7016007	corpnameless #7	17	56	2817.48
-9015011	scholarunivamalg #11	8	2	2811.48
-1001001	amalgamalg #1	9	18	2793.44
-4004001	edu packedu pack #1	9	54	2787.20
-1003001	exportiamalg #1	7	23	2784.84
-1003002	exportiamalg #2	18	21	2783.00
-1003001	exportiamalg #1	17	37	2779.50
-2004002	edu packimporto #2	19	26	2776.36
-6009003	maxicorp #3	19	38	2763.09
-1003001	exportiamalg #1	17	41	2751.84
-2001002	amalgimporto #2	18	24	2749.95
-10015013	scholaramalgamalg #13	8	25	2746.86
-3002001	importoexporti #1	17	13	2741.54
-4001001	amalgedu pack #1	9	3	2738.34
-9012003	importounivamalg #3	9	18	2732.40
-5001001	amalgscholar #1	17	43	2731.37
-2001002	amalgimporto #2	9	36	2715.18
-3003001	exportiexporti #1	19	25	2713.30
-5001001	amalgscholar #1	17	52	2707.54
-3002001	importoexporti #1	18	20	2694.50
-6008002	namelesscorp #2	18	48	2683.20
-1003002	exportiamalg #2	17	59	2670.50
-1002002	importoamalg #2	9	36	2668.77
-1003001	exportiamalg #1	9	26	2633.15
-4003001	exportiedu pack #1	9	38	2631.20
-9015011	scholarunivamalg #11	18	16	2621.71
-7010009	univnameless #9	18	48	2609.88
-8005005	scholarnameless #5	19	55	2606.45
-10012011	importoamalgamalg #11	17	9	2589.95
-1002001	importoamalg #1	19	21	2579.48
-4002001	importoedu pack #1	18	51	2567.40
-5003001	exportischolar #1	8	50	2555.28
-1004002	edu packamalg #2	18	24	2551.16
-2003001	exportiimporto #1	19	58	2528.40
-6005001	scholarcorp #1	17	45	2522.52
-6007003	brandcorp #3	17	49	2522.15
-1002001	importoamalg #1	19	14	2513.30
-10010013	univamalgamalg #13	8	30	2513.25
-4001001	amalgedu pack #1	19	9	2512.00
-7010004	univnameless #4	17	44	2509.78
-8003010	exportinameless #10	18	27	2507.44
-6011008	amalgbrand #8	18	5	2505.00
-7010004	univnameless #4	8	21	2502.36
-6012008	importobrand #8	8	33	2495.65
-8004003	edu packnameless #3	18	52	2495.22
-1001002	amalgamalg #2	18	11	2491.16
-7010003	univnameless #3	7	5	2485.08
-4004002	edu packedu pack #2	18	23	2483.01
-8016004	corpmaxi #4	18	43	2482.62
-10004001	edu packunivamalg #1	8	39	2472.93
-2003002	exportiimporto #2	9	41	2471.90
-6011001	amalgbrand #1	7	21	2458.17
-8011009	amalgmaxi #9	19	5	2457.99
-6002005	importocorp #5	19	0	2454.03
-1002002	importoamalg #2	19	57	2451.06
-5001002	amalgscholar #2	19	42	2444.80
-9014011	edu packunivamalg #11	17	44	2436.40
-10003004	exportiunivamalg #4	19	46	2423.18
-6016003	corpbrand #3	19	19	2421.65
-8004009	edu packnameless #9	19	44	2421.51
-2002001	importoimporto #1	8	8	2420.34
-6012005	importobrand #5	7	20	2412.30
-3003001	exportiexporti #1	7	29	2408.70
-3002001	importoexporti #1	18	21	2403.96
-3002002	importoexporti #2	8	58	2399.13
-2001002	amalgimporto #2	17	12	2396.61
-5003002	exportischolar #2	17	37	2388.24
-4004001	edu packedu pack #1	17	5	2386.20
-5003002	exportischolar #2	9	29	2378.69
-3004001	edu packexporti #1	17	46	2375.45
-9014011	edu packunivamalg #11	19	18	2363.04
-1003001	exportiamalg #1	8	5	2360.81
-1003001	exportiamalg #1	19	19	2355.12
-6002005	importocorp #5	8	27	2351.04
-2002001	importoimporto #1	19	47	2338.56
-6007003	brandcorp #3	9	4	2335.10
-8004003	edu packnameless #3	9	44	2314.40
-5003001	exportischolar #1	19	58	2294.62
-8002009	importonameless #9	18	12	2266.60
-3004001	edu packexporti #1	19	9	2261.52
-7010003	univnameless #3	18	35	2234.40
-4004001	edu packedu pack #1	9	25	2215.21
-3003001	exportiexporti #1	8	9	2206.47
-1003002	exportiamalg #2	17	41	2197.60
-6008007	namelesscorp #7	18	0	2190.24
-3002001	importoexporti #1	17	51	2181.96
-8013007	exportimaxi #7	7	11	2180.76
-6005001	scholarcorp #1	18	43	2174.48
-6006007	corpcorp #7	7	24	2158.40
-6002003	importocorp #3	19	26	2152.17
-1001001	amalgamalg #1	19	53	2149.70
-5003001	exportischolar #1	8	59	2144.73
-6005001	scholarcorp #1	9	25	2143.10
-7008009	namelessbrand #9	19	39	2132.41
-3003001	exportiexporti #1	19	53	2118.88
-9015009	scholarunivamalg #9	19	3	2114.64
-10013013	exportiamalgamalg #13	7	33	2103.93
-8003010	exportinameless #10	17	28	2084.72
-8003010	exportinameless #10	17	42	2082.86
-8002009	importonameless #9	9	37	2079.84
-4001001	amalgedu pack #1	19	43	2067.52
-5004002	edu packscholar #2	19	2	2061.30
-5004002	edu packscholar #2	18	7	2049.67
-10004001	edu packunivamalg #1	18	49	2031.20
-1003001	exportiamalg #1	18	21	2028.31
-4001002	amalgedu pack #2	19	19	2018.40
-5002002	importoscholar #2	19	18	2016.96
-4001002	amalgedu pack #2	6	3	2012.80
-6011005	amalgbrand #5	9	53	1997.52
-6011008	amalgbrand #8	8	28	1995.60
-6007003	brandcorp #3	17	33	1995.20
-3003001	exportiexporti #1	9	22	1982.73
-5002002	importoscholar #2	17	49	1980.88
-2001002	amalgimporto #2	17	27	1955.20
-7007004	brandbrand #4	9	31	1954.11
-2001002	amalgimporto #2	17	11	1951.95
-2004001	edu packimporto #1	19	50	1934.46
-4004001	edu packedu pack #1	9	11	1930.50
-7010003	univnameless #3	19	20	1926.24
-1004002	edu packamalg #2	8	13	1922.68
-9013009	exportiunivamalg #9	19	55	1906.92
-8004003	edu packnameless #3	19	58	1905.78
-6008007	namelesscorp #7	17	2	1905.12
-1002001	importoamalg #1	9	28	1904.10
-1002002	importoamalg #2	9	42	1893.54
-4001002	amalgedu pack #2	17	55	1880.97
-1004001	edu packamalg #1	19	42	1878.76
-1001001	amalgamalg #1	17	19	1877.46
-2003002	exportiimporto #2	18	9	1874.40
-9012008	importounivamalg #8	18	22	1873.02
-1002002	importoamalg #2	18	42	1852.20
-6002003	importocorp #3	17	39	1840.98
-5002002	importoscholar #2	18	14	1817.00
-1001001	amalgamalg #1	17	59	1813.11
-7012003	importonameless #3	18	18	1807.85
-7016001	corpnameless #1	19	5	1806.68
-8005005	scholarnameless #5	17	31	1800.48
-5002001	importoscholar #1	6	7	1789.20
-9015009	scholarunivamalg #9	6	44	1788.93
-3002001	importoexporti #1	8	52	1770.00
-3002002	importoexporti #2	6	41	1760.58
-1001001	amalgamalg #1	9	14	1745.24
-1004002	edu packamalg #2	18	32	1742.52
-9013009	exportiunivamalg #9	9	36	1737.57
-10015004	scholaramalgamalg #4	9	2	1736.72
-7010003	univnameless #3	7	58	1735.12
-6016003	corpbrand #3	8	54	1733.08
-7008009	namelessbrand #9	19	27	1726.56
-5002001	importoscholar #1	8	24	1725.50
-9013009	exportiunivamalg #9	18	43	1722.16
-2002001	importoimporto #1	9	43	1715.64
-5003001	exportischolar #1	17	32	1714.80
-5001001	amalgscholar #1	18	35	1713.96
-7004007	edu packbrand #7	17	57	1713.28
-4001001	amalgedu pack #1	19	13	1708.26
-6007003	brandcorp #3	17	51	1707.48
-4001002	amalgedu pack #2	19	51	1706.46
-1003001	exportiamalg #1	18	3	1704.75
-10010013	univamalgamalg #13	18	51	1677.20
-2004002	edu packimporto #2	17	59	1676.84
-2001002	amalgimporto #2	18	21	1659.84
-5001002	amalgscholar #2	18	35	1654.44
-2002001	importoimporto #1	17	4	1649.28
-5004001	edu packscholar #1	6	36	1646.50
-3002001	importoexporti #1	17	14	1644.96
-4004001	edu packedu pack #1	17	18	1644.00
-4001001	amalgedu pack #1	17	28	1643.76
-5001001	amalgscholar #1	19	21	1643.22
-4001001	amalgedu pack #1	6	45	1639.44
-1004001	edu packamalg #1	8	16	1629.81
-1001002	amalgamalg #2	9	48	1624.59
-9008005	namelessmaxi #5	17	4	1621.62
-1002002	importoamalg #2	9	56	1600.82
-9013009	exportiunivamalg #9	18	51	1590.00
-10012017	importoamalgamalg #17	17	16	1565.38
-5002001	importoscholar #1	19	55	1563.38
-10015013	scholaramalgamalg #13	19	51	1553.20
-3004001	edu packexporti #1	9	31	1541.43
-5003002	exportischolar #2	17	2	1540.54
-8013007	exportimaxi #7	18	51	1537.90
-5004002	edu packscholar #2	19	24	1514.74
-4003001	exportiedu pack #1	8	3	1514.43
-2001002	amalgimporto #2	18	48	1511.30
-1001002	amalgamalg #2	17	55	1505.25
-2004001	edu packimporto #1	19	27	1490.13
-4001001	amalgedu pack #1	17	15	1488.84
-6005001	scholarcorp #1	17	14	1488.52
-9015011	scholarunivamalg #11	18	55	1487.52
-5003001	exportischolar #1	9	26	1482.30
-5004002	edu packscholar #2	18	47	1481.61
-10009015	maxiunivamalg #15	19	55	1476.75
-2004002	edu packimporto #2	9	3	1475.84
-7016007	corpnameless #7	17	42	1470.52
-5003001	exportischolar #1	17	59	1466.25
-5004002	edu packscholar #2	18	35	1462.00
-5003001	exportischolar #1	18	10	1461.98
-1003001	exportiamalg #1	19	50	1455.83
-5003001	exportischolar #1	8	25	1446.36
-1004001	edu packamalg #1	19	26	1439.04
-6011005	amalgbrand #5	18	33	1435.50
-5002001	importoscholar #1	19	33	1434.24
-3004001	edu packexporti #1	18	49	1433.88
-4001002	amalgedu pack #2	7	40	1431.54
-4004001	edu packedu pack #1	17	37	1430.37
-1003002	exportiamalg #2	7	40	1418.18
-1002002	importoamalg #2	17	44	1415.25
-2001002	amalgimporto #2	7	8	1414.14
-5002002	importoscholar #2	17	30	1404.00
-5003001	exportischolar #1	19	10	1403.22
-7012003	importonameless #3	9	22	1399.96
-3003001	exportiexporti #1	18	33	1386.35
-3002001	importoexporti #1	17	40	1379.04
-9014011	edu packunivamalg #11	17	3	1364.52
-5003001	exportischolar #1	9	46	1361.57
-5001002	amalgscholar #2	19	51	1360.00
-2004002	edu packimporto #2	9	28	1353.15
-9015009	scholarunivamalg #9	18	9	1352.61
-5002002	importoscholar #2	17	52	1345.02
-1002002	importoamalg #2	18	27	1343.93
-6011008	amalgbrand #8	9	39	1341.93
-1004002	edu packamalg #2	17	11	1340.64
-5003001	exportischolar #1	17	11	1328.00
-6002003	importocorp #3	17	20	1327.58
-6012008	importobrand #8	9	10	1327.19
-7010003	univnameless #3	19	49	1319.57
-2003001	exportiimporto #1	9	23	1310.16
-3002002	importoexporti #2	17	45	1301.90
-3003001	exportiexporti #1	8	19	1301.37
-6011008	amalgbrand #8	9	33	1278.35
-10003004	exportiunivamalg #4	9	23	1272.43
-3004001	edu packexporti #1	18	21	1270.66
-2001002	amalgimporto #2	17	22	1269.07
-4004002	edu packedu pack #2	19	7	1264.56
-1004002	edu packamalg #2	19	0	1261.65
-10015013	scholaramalgamalg #13	9	34	1257.30
-1001001	amalgamalg #1	17	56	1250.08
-3003002	exportiexporti #2	18	26	1248.48
-9012005	importounivamalg #5	7	0	1230.20
-9015009	scholarunivamalg #9	18	40	1222.64
-3003002	exportiexporti #2	9	42	1217.28
-2001002	amalgimporto #2	7	46	1213.44
-10004001	edu packunivamalg #1	18	58	1212.96
-3001001	amalgexporti #1	9	41	1211.50
-6006007	corpcorp #7	18	59	1210.32
-5003001	exportischolar #1	18	14	1210.20
-5001001	amalgscholar #1	8	31	1205.50
-9016003	corpunivamalg #3	17	53	1200.00
-10013015	exportiamalgamalg #15	17	14	1192.50
-1002002	importoamalg #2	19	16	1182.37
-1002002	importoamalg #2	19	42	1178.88
-10012011	importoamalgamalg #11	17	31	1173.28
-3003001	exportiexporti #1	8	48	1167.05
-5002002	importoscholar #2	18	40	1159.40
-2001002	amalgimporto #2	9	3	1157.20
-5003002	exportischolar #2	19	6	1150.92
-5003001	exportischolar #1	9	29	1150.77
-10009015	maxiunivamalg #15	18	2	1150.73
-1004001	edu packamalg #1	19	2	1148.16
-3003001	exportiexporti #1	9	14	1139.60
-2001001	amalgimporto #1	17	28	1135.06
-4003001	exportiedu pack #1	6	50	1129.20
-8016004	corpmaxi #4	17	32	1127.61
-9015009	scholarunivamalg #9	18	18	1124.16
-5002001	importoscholar #1	8	48	1123.47
-8003010	exportinameless #10	9	0	1123.08
-1004002	edu packamalg #2	19	25	1117.39
-7012010	importonameless #10	19	35	1114.76
-1001002	amalgamalg #2	9	46	1114.40
-10012017	importoamalgamalg #17	17	7	1107.54
-10009015	maxiunivamalg #15	17	29	1104.61
-6010005	univbrand #5	17	24	1102.20
-6011001	amalgbrand #1	19	21	1098.30
-3002001	importoexporti #1	18	39	1094.10
-10004001	edu packunivamalg #1	17	26	1081.80
-9016003	corpunivamalg #3	19	8	1079.54
-6011005	amalgbrand #5	17	31	1071.00
-9015009	scholarunivamalg #9	18	30	1062.06
-6008007	namelesscorp #7	19	54	1058.93
-8014005	edu packmaxi #5	9	34	1058.00
-10013015	exportiamalgamalg #15	8	30	1057.80
-6006007	corpcorp #7	19	54	1055.43
-2004002	edu packimporto #2	18	28	1052.64
-1002002	importoamalg #2	9	27	1040.43
-7008009	namelessbrand #9	19	45	1037.51
-2002001	importoimporto #1	7	32	1023.75
-7012010	importonameless #10	7	19	1016.80
-5004002	edu packscholar #2	17	10	1016.60
-6015006	scholarbrand #6	19	0	1010.91
-1003001	exportiamalg #1	9	36	1007.81
-7016007	corpnameless #7	18	45	992.74
-6005001	scholarcorp #1	19	16	991.98
-5002002	importoscholar #2	18	27	986.24
-8002009	importonameless #9	9	23	983.40
-1002001	importoamalg #1	19	26	977.60
-10002012	importounivamalg #12	18	4	963.80
-1003001	exportiamalg #1	17	40	953.55
-8011009	amalgmaxi #9	19	42	951.60
-4004002	edu packedu pack #2	9	34	951.00
-4004002	edu packedu pack #2	18	18	943.66
-2002001	importoimporto #1	9	20	943.56
-8014005	edu packmaxi #5	18	24	943.00
-3002002	importoexporti #2	18	24	935.00
-8003010	exportinameless #10	7	24	931.32
-7016007	corpnameless #7	17	28	924.66
-5003002	exportischolar #2	9	14	920.46
-5001001	amalgscholar #1	19	54	920.16
-5001001	amalgscholar #1	18	23	909.48
-6002005	importocorp #5	18	4	904.12
-1002001	importoamalg #1	19	40	901.60
-5003001	exportischolar #1	6	18	901.42
-9014011	edu packunivamalg #11	8	40	896.49
-7016007	corpnameless #7	19	16	892.64
-4001002	amalgedu pack #2	17	14	886.48
-7010003	univnameless #3	18	37	883.34
-10013013	exportiamalgamalg #13	7	42	879.36
-1002001	importoamalg #1	17	32	876.30
-2003001	exportiimporto #1	18	54	864.36
-10004004	edu packunivamalg #4	19	59	861.10
-7004009	edu packbrand #9	9	36	858.73
-8014005	edu packmaxi #5	9	22	850.23
-7004009	edu packbrand #9	6	11	847.26
-4001001	amalgedu pack #1	19	58	844.90
-2003002	exportiimporto #2	6	17	842.40
-7010009	univnameless #9	17	37	841.96
-1003002	exportiamalg #2	19	33	839.90
-8004009	edu packnameless #9	17	8	829.76
-9012003	importounivamalg #3	8	59	829.20
-7012003	importonameless #3	8	51	826.89
-3002001	importoexporti #1	19	49	826.74
-9012005	importounivamalg #5	17	45	821.48
-2001002	amalgimporto #2	17	56	820.26
-2002001	importoimporto #1	19	10	818.40
-5001001	amalgscholar #1	19	18	818.09
-7016001	corpnameless #1	19	50	817.11
-10013013	exportiamalgamalg #13	17	44	814.80
-7010003	univnameless #3	18	12	811.50
-6008007	namelesscorp #7	17	20	810.46
-7016007	corpnameless #7	9	54	810.24
-9012008	importounivamalg #8	9	43	803.64
-4001001	amalgedu pack #1	17	38	796.38
-4001002	amalgedu pack #2	17	57	792.74
-5003002	exportischolar #2	19	10	790.72
-7004009	edu packbrand #9	9	8	789.88
-5001001	amalgscholar #1	19	51	778.40
-4001001	amalgedu pack #1	17	7	777.12
-3004001	edu packexporti #1	19	17	763.00
-5001002	amalgscholar #2	19	24	762.96
-9008005	namelessmaxi #5	9	52	756.42
-3002001	importoexporti #1	9	41	755.15
-5002002	importoscholar #2	18	26	755.09
-6011001	amalgbrand #1	6	46	752.80
-3002002	importoexporti #2	19	19	748.41
-5002002	importoscholar #2	19	27	745.92
-4003001	exportiedu pack #1	18	35	745.20
-6002003	importocorp #3	7	2	744.12
-3002001	importoexporti #1	19	27	738.14
-1004002	edu packamalg #2	19	5	736.92
-2002001	importoimporto #1	9	32	735.13
-4001002	amalgedu pack #2	17	6	724.80
-10012004	importoamalgamalg #4	18	33	717.21
-2004002	edu packimporto #2	9	46	716.38
-9012008	importounivamalg #8	7	51	715.44
-2002001	importoimporto #1	19	31	709.32
-8014005	edu packmaxi #5	17	11	695.64
-2001002	amalgimporto #2	8	54	688.71
-1001001	amalgamalg #1	7	31	682.08
-1003002	exportiamalg #2	8	19	681.56
-7010003	univnameless #3	19	28	672.51
-3003002	exportiexporti #2	18	29	665.01
-9008002	namelessmaxi #2	17	4	660.04
-5003002	exportischolar #2	9	57	650.43
-2003002	exportiimporto #2	8	25	650.25
-2004002	edu packimporto #2	18	57	646.34
-10003016	exportiunivamalg #16	19	34	641.39
-1001002	amalgamalg #2	19	54	634.68
-5001002	amalgscholar #2	8	59	633.36
-3004001	edu packexporti #1	18	4	633.06
-10010013	univamalgamalg #13	18	32	630.00
-1002002	importoamalg #2	19	21	628.67
-10012017	importoamalgamalg #17	17	19	625.56
-1001002	amalgamalg #2	18	45	622.21
-5002001	importoscholar #1	19	32	615.12
-4004001	edu packedu pack #1	19	50	610.50
-1004002	edu packamalg #2	8	26	608.52
-6010005	univbrand #5	7	17	598.91
-6005001	scholarcorp #1	9	9	597.30
-10012017	importoamalgamalg #17	19	11	595.65
-6011005	amalgbrand #5	19	3	594.59
-3002001	importoexporti #1	18	37	589.28
-6007003	brandcorp #3	17	26	588.80
-1002001	importoamalg #1	19	46	583.47
-2004002	edu packimporto #2	19	16	581.28
-1004002	edu packamalg #2	17	39	580.32
-6008002	namelesscorp #2	9	3	578.97
-10015013	scholaramalgamalg #13	18	20	574.24
-9015009	scholarunivamalg #9	18	31	573.93
-2003002	exportiimporto #2	19	52	568.92
-9008005	namelessmaxi #5	17	42	567.64
-7004007	edu packbrand #7	18	15	563.80
-5002002	importoscholar #2	19	0	558.98
-8004003	edu packnameless #3	18	21	558.90
-10012017	importoamalgamalg #17	8	4	558.69
-9015011	scholarunivamalg #11	19	54	555.36
-1002001	importoamalg #1	19	20	554.88
-2004002	edu packimporto #2	19	20	553.76
-1001001	amalgamalg #1	19	13	549.43
-6015006	scholarbrand #6	19	50	548.68
-10012011	importoamalgamalg #11	9	19	541.25
-3004001	edu packexporti #1	17	51	539.95
-1003001	exportiamalg #1	6	53	528.90
-10015004	scholaramalgamalg #4	19	42	525.80
-4004001	edu packedu pack #1	17	35	524.59
-8002009	importonameless #9	6	46	522.06
-5003002	exportischolar #2	17	23	520.96
-4004001	edu packedu pack #1	17	30	517.65
-7008009	namelessbrand #9	17	29	514.25
-9012005	importounivamalg #5	8	34	504.60
-10012004	importoamalgamalg #4	8	8	503.10
-3002002	importoexporti #2	18	21	490.82
-1002002	importoamalg #2	18	31	489.72
-10012011	importoamalgamalg #11	8	53	486.50
-9013009	exportiunivamalg #9	17	24	478.00
-6008002	namelesscorp #2	8	59	471.68
-10003016	exportiunivamalg #16	18	20	471.66
-8016004	corpmaxi #4	7	53	470.55
-4001001	amalgedu pack #1	17	26	469.58
-1002001	importoamalg #1	18	59	464.52
-9013009	exportiunivamalg #9	9	8	462.80
-9008002	namelessmaxi #2	9	51	458.82
-6009003	maxicorp #3	17	44	457.74
-3002001	importoexporti #1	8	5	454.77
-10012004	importoamalgamalg #4	17	24	450.90
-4004001	edu packedu pack #1	9	37	449.90
-6011008	amalgbrand #8	17	4	445.12
-10015013	scholaramalgamalg #13	8	32	438.48
-4003001	exportiedu pack #1	9	31	424.26
-3002002	importoexporti #2	8	35	421.26
-5004001	edu packscholar #1	8	30	420.28
-1002001	importoamalg #1	8	24	418.92
-1002002	importoamalg #2	17	33	416.67
-5002002	importoscholar #2	6	34	416.52
-2003002	exportiimporto #2	18	18	414.12
-3002002	importoexporti #2	9	28	414.12
-3003002	exportiexporti #2	19	24	410.00
-5003001	exportischolar #1	19	29	407.34
-5001001	amalgscholar #1	18	40	405.15
-10009015	maxiunivamalg #15	9	58	402.38
-3002001	importoexporti #1	19	35	397.71
-3003001	exportiexporti #1	17	28	389.88
-1001002	amalgamalg #2	8	38	388.35
-8003010	exportinameless #10	19	26	387.92
-7010003	univnameless #3	17	11	387.00
-6011001	amalgbrand #1	8	8	386.54
-1003001	exportiamalg #1	6	10	386.40
-5001001	amalgscholar #1	17	1	384.75
-5004002	edu packscholar #2	18	15	379.68
-5001002	amalgscholar #2	9	39	378.56
-3002002	importoexporti #2	9	12	378.08
-5002001	importoscholar #1	8	1	377.57
-6006007	corpcorp #7	18	53	375.36
-1003002	exportiamalg #2	18	0	374.99
-5003001	exportischolar #1	18	43	374.68
-8002009	importonameless #9	8	46	371.42
-3002001	importoexporti #1	17	33	369.75
-3003002	exportiexporti #2	9	20	367.90
-5002001	importoscholar #1	18	53	365.10
-7015007	scholarnameless #7	18	44	357.84
-8014005	edu packmaxi #5	17	2	352.36
-10004004	edu packunivamalg #4	19	3	344.64
-4001002	amalgedu pack #2	8	50	341.33
-6010005	univbrand #5	9	8	339.83
-9012005	importounivamalg #5	8	3	339.57
-2001002	amalgimporto #2	18	49	333.66
-1002002	importoamalg #2	17	4	330.01
-8011009	amalgmaxi #9	19	26	328.35
-5002002	importoscholar #2	9	7	328.26
-9008002	namelessmaxi #2	18	6	327.95
-5001001	amalgscholar #1	17	19	323.90
-5003002	exportischolar #2	17	26	320.31
-3002001	importoexporti #1	18	31	319.90
-8013007	exportimaxi #7	17	49	318.20
-6011008	amalgbrand #8	8	13	315.10
-3003002	exportiexporti #2	7	37	313.24
-7014001	edu packnameless #1	18	38	312.80
-1003002	exportiamalg #2	19	42	304.64
-2004002	edu packimporto #2	9	24	304.36
-3003001	exportiexporti #1	8	58	302.40
-4004001	edu packedu pack #1	19	11	300.48
-6012005	importobrand #5	19	25	299.52
-4004001	edu packedu pack #1	19	48	276.92
-2001002	amalgimporto #2	18	20	276.77
-2002001	importoimporto #1	18	1	273.60
-1004002	edu packamalg #2	8	49	264.60
-8003010	exportinameless #10	19	57	263.19
-4003001	exportiedu pack #1	18	37	260.23
-3003001	exportiexporti #1	9	48	258.39
-7012003	importonameless #3	9	2	258.24
-5002001	importoscholar #1	18	38	257.53
-6005001	scholarcorp #1	17	43	256.48
-5001002	amalgscholar #2	17	44	255.00
-4001002	amalgedu pack #2	7	6	253.80
-2001002	amalgimporto #2	19	25	253.50
-1001001	amalgamalg #1	8	16	253.34
-5002002	importoscholar #2	17	51	252.56
-1002002	importoamalg #2	18	29	250.80
-9015009	scholarunivamalg #9	8	28	248.27
-3001001	amalgexporti #1	19	57	247.68
-6003008	exporticorp #8	18	47	244.44
-1004002	edu packamalg #2	19	9	242.25
-2004001	edu packimporto #1	17	48	241.50
-3003002	exportiexporti #2	9	27	234.60
-1001001	amalgamalg #1	19	54	234.00
-2002001	importoimporto #1	18	33	232.56
-4003001	exportiedu pack #1	19	20	231.99
-5003001	exportischolar #1	19	27	231.84
-2001002	amalgimporto #2	18	4	229.32
-4001001	amalgedu pack #1	19	45	227.84
-5002002	importoscholar #2	17	27	227.52
-5004001	edu packscholar #1	18	30	225.21
-2002001	importoimporto #1	17	51	222.80
-7004009	edu packbrand #9	19	36	221.85
-3003002	exportiexporti #2	17	21	221.20
-8005008	scholarnameless #8	18	20	220.83
-6003008	exporticorp #8	17	16	218.16
-6008005	namelesscorp #5	18	51	216.69
-9008002	namelessmaxi #2	17	28	215.76
-2001002	amalgimporto #2	9	27	213.64
-6015006	scholarbrand #6	6	14	212.28
-6015006	scholarbrand #6	19	26	211.85
-4001001	amalgedu pack #1	9	48	211.32
-1004002	edu packamalg #2	7	2	210.14
-3002001	importoexporti #1	9	26	209.95
-6010005	univbrand #5	17	3	208.32
-7004009	edu packbrand #9	17	25	208.25
-7010004	univnameless #4	19	23	208.20
-9012005	importounivamalg #5	18	4	205.70
-3003001	exportiexporti #1	7	23	203.61
-1001002	amalgamalg #2	19	48	203.28
-4003001	exportiedu pack #1	8	1	202.30
-2004001	edu packimporto #1	19	10	202.12
-4001002	amalgedu pack #2	17	53	198.33
-6010005	univbrand #5	8	18	197.37
-3003001	exportiexporti #1	17	6	196.38
-1004001	edu packamalg #1	17	26	194.18
-7004009	edu packbrand #9	17	42	193.39
-3001001	amalgexporti #1	17	33	191.98
-1001002	amalgamalg #2	17	26	190.50
-3002001	importoexporti #1	8	1	186.93
-9015009	scholarunivamalg #9	19	9	186.30
-2003001	exportiimporto #1	19	11	184.90
-6003008	exporticorp #8	6	32	182.90
-4003001	exportiedu pack #1	17	45	182.28
-9015009	scholarunivamalg #9	17	32	181.60
-6011008	amalgbrand #8	9	14	178.22
-2002001	importoimporto #1	18	34	177.79
-9012005	importounivamalg #5	19	25	176.67
-6008002	namelesscorp #2	17	31	176.19
-8013009	exportimaxi #9	19	25	174.96
-2004001	edu packimporto #1	18	42	172.48
-8013009	exportimaxi #9	19	31	168.82
-3003001	exportiexporti #1	9	1	156.98
-7010009	univnameless #9	9	22	155.40
-4004001	edu packedu pack #1	9	32	154.79
-3003002	exportiexporti #2	19	36	154.38
-3003001	exportiexporti #1	9	6	151.92
-1001001	amalgamalg #1	9	41	148.05
-9015009	scholarunivamalg #9	8	38	147.92
-5003001	exportischolar #1	19	28	147.14
-2001001	amalgimporto #1	18	47	142.29
-5002001	importoscholar #1	8	52	141.15
-6002003	importocorp #3	17	53	140.40
-2003002	exportiimporto #2	9	49	137.40
-10003016	exportiunivamalg #16	19	4	137.40
-4001001	amalgedu pack #1	7	58	135.78
-7010004	univnameless #4	17	26	129.50
-5003001	exportischolar #1	9	43	129.24
-1003002	exportiamalg #2	7	42	127.68
-6008002	namelesscorp #2	19	53	127.32
-5001001	amalgscholar #1	9	38	126.56
-2002001	importoimporto #1	17	40	126.49
-4004001	edu packedu pack #1	18	52	122.67
-5001001	amalgscholar #1	17	10	118.36
-2002001	importoimporto #1	17	38	116.16
-5003001	exportischolar #1	8	1	116.10
-8005008	scholarnameless #8	8	19	111.68
-8004009	edu packnameless #9	8	59	110.90
-9014011	edu packunivamalg #11	19	9	110.12
-1002002	importoamalg #2	19	52	109.44
-2001002	amalgimporto #2	18	31	108.78
-3002001	importoexporti #1	17	1	108.45
-2002001	importoimporto #1	19	15	107.64
-3004001	edu packexporti #1	18	16	106.60
-1004002	edu packamalg #2	9	12	103.87
-3003001	exportiexporti #1	19	16	101.58
-3004001	edu packexporti #1	17	1	100.80
-6002005	importocorp #5	9	41	99.00
-4003001	exportiedu pack #1	9	47	98.25
-7010009	univnameless #9	8	48	95.36
-3002001	importoexporti #1	6	50	95.22
-7016001	corpnameless #1	9	37	93.22
-3004001	edu packexporti #1	9	40	91.77
-9012005	importounivamalg #5	6	45	91.35
-5002001	importoscholar #1	19	31	91.20
-8004003	edu packnameless #3	8	39	90.64
-8004003	edu packnameless #3	8	11	87.12
-5003001	exportischolar #1	17	9	87.10
-6009003	maxicorp #3	6	4	87.00
-9014011	edu packunivamalg #11	7	58	86.57
-2002001	importoimporto #1	17	0	86.10
-5001001	amalgscholar #1	19	27	85.65
-8003010	exportinameless #10	17	7	85.50
-6011008	amalgbrand #8	18	29	83.68
-10013013	exportiamalgamalg #13	19	39	81.96
-9015009	scholarunivamalg #9	9	32	81.84
-1004002	edu packamalg #2	7	41	81.59
-4004001	edu packedu pack #1	19	13	80.24
-5001002	amalgscholar #2	9	46	78.68
-10012017	importoamalgamalg #17	17	29	76.50
-2001002	amalgimporto #2	19	45	76.36
-7008009	namelessbrand #9	17	43	75.36
-1003001	exportiamalg #1	9	44	73.92
-3001001	amalgexporti #1	17	38	72.96
-2001001	amalgimporto #1	19	48	72.03
-2004001	edu packimporto #1	19	45	70.40
-7010009	univnameless #9	17	54	69.56
-1002001	importoamalg #1	18	10	68.37
-7009010	maxibrand #10	9	38	66.30
-2001002	amalgimporto #2	18	1	65.00
-9012003	importounivamalg #3	8	13	64.64
-1002001	importoamalg #1	8	1	64.48
-10015013	scholaramalgamalg #13	17	10	64.26
-8005005	scholarnameless #5	17	19	63.70
-4001002	amalgedu pack #2	7	45	63.47
-6016003	corpbrand #3	7	0	63.20
-4004001	edu packedu pack #1	7	34	62.68
-4003001	exportiedu pack #1	9	12	62.26
-2004002	edu packimporto #2	18	37	56.75
-5002002	importoscholar #2	19	10	55.68
-10010013	univamalgamalg #13	9	26	54.80
-9015009	scholarunivamalg #9	8	47	54.20
-7004007	edu packbrand #7	17	8	53.20
-2004002	edu packimporto #2	8	39	51.68
-10015013	scholaramalgamalg #13	8	18	51.48
-10012011	importoamalgamalg #11	19	25	48.45
-1003002	exportiamalg #2	19	10	46.80
-5003001	exportischolar #1	17	25	46.72
-1002001	importoamalg #1	18	21	45.32
-5003002	exportischolar #2	8	21	43.89
-6011008	amalgbrand #8	9	50	42.50
-3003001	exportiexporti #1	17	42	42.08
-6011005	amalgbrand #5	18	40	41.54
-1001002	amalgamalg #2	19	41	41.52
-7010004	univnameless #4	18	21	41.46
-9015011	scholarunivamalg #11	17	40	40.70
-5004002	edu packscholar #2	17	22	39.36
-6016003	corpbrand #3	19	50	39.20
-3003002	exportiexporti #2	19	37	38.80
-3002001	importoexporti #1	17	0	38.34
-5002001	importoscholar #1	17	58	38.27
-8014005	edu packmaxi #5	18	14	37.80
-6015006	scholarbrand #6	17	2	37.29
-9013009	exportiunivamalg #9	9	16	34.78
-4001001	amalgedu pack #1	9	29	34.76
-10013013	exportiamalgamalg #13	18	27	34.23
-7012010	importonameless #10	18	37	33.83
-2001002	amalgimporto #2	19	19	33.20
-7016001	corpnameless #1	18	53	32.24
-6003008	exporticorp #8	17	56	31.08
-5004001	edu packscholar #1	18	27	31.02
-7010004	univnameless #4	19	51	30.16
-8002009	importonameless #9	19	8	29.84
-8005005	scholarnameless #5	9	15	29.20
-3002002	importoexporti #2	9	53	27.74
-5003001	exportischolar #1	9	3	26.76
-4004001	edu packedu pack #1	18	22	26.00
-9015009	scholarunivamalg #9	18	26	25.96
-6016003	corpbrand #3	19	59	23.73
-4001001	amalgedu pack #1	17	54	22.38
-1002001	importoamalg #1	19	53	22.28
-6003008	exporticorp #8	18	36	22.08
-5003001	exportischolar #1	17	4	21.70
-10012004	importoamalgamalg #4	19	4	20.91
-5003001	exportischolar #1	17	46	17.63
-4004001	edu packedu pack #1	18	30	17.50
-3004001	edu packexporti #1	7	45	17.11
-1003001	exportiamalg #1	19	52	15.81
-6011001	amalgbrand #1	8	42	15.81
-6010005	univbrand #5	8	8	15.47
-2003001	exportiimporto #1	17	18	15.17
-2001002	amalgimporto #2	19	6	14.72
-8011009	amalgmaxi #9	19	15	14.04
-4003001	exportiedu pack #1	19	39	13.49
-3003001	exportiexporti #1	19	20	13.26
-5002002	importoscholar #2	9	16	13.13
-8011009	amalgmaxi #9	8	23	12.88
-6016003	corpbrand #3	19	57	12.48
-1001002	amalgamalg #2	9	28	12.47
-6016003	corpbrand #3	17	58	12.40
-6008005	namelesscorp #5	19	2	10.59
-3004001	edu packexporti #1	19	47	10.00
-9015011	scholarunivamalg #11	17	17	8.60
-6008007	namelesscorp #7	19	15	7.36
-4004001	edu packedu pack #1	9	41	7.14
-4003001	exportiedu pack #1	17	4	6.84
-1002001	importoamalg #1	9	56	6.44
-6003008	exporticorp #8	18	8	5.15
-3001001	amalgexporti #1	17	18	3.96
-6008005	namelesscorp #5	9	19	3.22
-6016003	corpbrand #3	17	8	2.65
-5001001	amalgscholar #1	8	41	0.30
-3003001	exportiexporti #1	18	15	0.00
-3003002	exportiexporti #2	6	35	0.00
-4003001	exportiedu pack #1	18	33	0.00
-4004002	edu packedu pack #2	17	57	0.00
-5001002	amalgscholar #2	8	25	0.00
-5003001	exportischolar #1	17	36	0.00
-6012008	importobrand #8	9	0	0.00
-7012010	importonameless #10	18	50	0.00
-9012005	importounivamalg #5	9	12	0.00
-2002001	importoimporto #1	9	58	\N
-2003002	exportiimporto #2	9	27	\N
-2004002	edu packimporto #2	9	7	\N
-5003002	exportischolar #2	9	20	\N
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q72.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q72.out
deleted file mode 100644
index 8d050a5d2c..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q72.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q72 --
-Best possible ages tell together new, st	Conventional childr	5213	0	2	2
-Closed, good condition	Doors canno	5169	0	2	2
-Departments make once again police. Very acceptable results call still extended, known ends; relationships shoot strangely. Acids shall discharge in order ethnic, ric		5168	0	2	2
-Futures should enjoy able galleries. Late blue tickets pass longer urgently dead types. Shoulders will see rigidly institutions. Other con	Conventional childr	5210	0	2	2
-Good, open studies dream more; industrial, social organisations could understand recently quick tall theories. Lines must answer functions; subtle factor	Important issues liv	5214	0	2	2
-Hard sudden aspects shall not commemorate about a functions. Western, british cases see here churches. Stairs a	Doors canno	5212	0	2	2
-High, essential groups should not weigh more other years; there different papers could announce; large departments c	Important issues liv	5198	0	2	2
-Just young partie	Important issues liv	5213	0	2	2
-Levels undermine unfortunately efficient weeks		5210	0	2	2
-New, full rises drive however. Legs retain often in a women. Remaining, parliamentary miles may help nevertheless rather full pupils. Glad crimes might	Bad cards must make.	5217	0	2	2
-Provisions go too. Sad others contain italian branches. Keys k	Bad cards must make.	5213	0	2	2
-Provisions go too. Sad others contain italian branches. Keys k	Doors canno	5213	0	2	2
-Shortly desperate nat	Conventional childr	5210	0	2	2
-True tears continue currently pale, close men. Soon medical numbers might not take other, 	Important issues liv	5199	0	2	2
-White employees name; figures feed sure. Speeches can achieve. Extremely final seats may exist too all religious studies. Medite	Bad cards must make.	5168	0	2	2
-Words use up a documents. Collections may	Conventional childr	5168	0	2	2
-Words use up a documents. Collections may	Important issues liv	5168	0	2	2
-		5175	0	1	1
-		5217	0	1	1
-	Doors canno	5175	0	1	1
-	Doors canno	5207	0	1	1
-	Important issues liv	5205	0	1	1
-A little average flames ought to break old, unique men. Things select often red, economic others. Hands will lift sufficiently; german, proper sections worry perhaps for the po		5212	0	1	1
-Abilities would not require almost; local	Bad cards must make.	5197	0	1	1
-Able	Conventional childr	5177	0	1	1
-Able hands help however inevitable policemen. Far true matters will not forgive never hands. Absolutely french events stop now. Well able procedures unde	Conventional childr	5195	0	1	1
-Able hands help however inevitable policemen. Far true matters will not forgive never hands. Absolutely french events stop now. Well able procedures unde	Doors canno	5195	0	1	1
-Able, alternative police shall not give so other complaints. There complex 		5212	0	1	1
-Able, long mammals can want new, serious years. Questions would not cope again mainly unable contributions. Less responsible shelves lose records; leading, similar 	Important issues liv	5170	0	1	1
-Able, main parties think really. Resources arrive only independent, old representations. Small, double advantages 	Doors canno	5213	0	1	1
-Able, main parties think really. Resources arrive only independent, old representations. Small, double advantages 	Important issues liv	5180	0	1	1
-About international concentrations could avoid then alone apparent activities; inadequate, mediterranean days get eve	Important issues liv	5215	0	1	1
-About natural economie	Bad cards must make.	5202	0	1	1
-About other levels should proceed certainly fine, severe facts.	Important issues liv	5210	0	1	1
-About working feelings could produce only types. Electoral, new visitors will not make more afraid, large tr		5197	0	1	1
-Absolutely	Bad cards must make.	5203	0	1	1
-Absolutely	Doors canno	5203	0	1	1
-Absolutely 		5206	0	1	1
-Absolutely front men turn spatial hours. Good, free sales used to marry outside appropriate ships. Noble men sa		5207	0	1	1
-Absolutely old payments will b	Doors canno	5216	0	1	1
-Accused men cannot increase e	Important issues liv	5207	0	1	1
-Acids grab below previous standards. Ever large metals will come on a articles. Underlying stories protect at last. Reasonable directions believe rather due to a	Bad cards must make.	5169	0	1	1
-Active plants need necessary, widespread roads. Best back visits hold regularly fresh friend		5209	0	1	1
-Active plants need necessary, widespread roads. Best back visits hold regularly fresh friend	Conventional childr	5209	0	1	1
-Active windows shall not find small, relig	Conventional childr	5203	0	1	1
-Actively different proceedings light yet so similar houses. Good circumstances shall not take only levels. Then moral pounds will clean very only national organisations. 		5183	0	1	1
-Activities say. Right lips resort current techniques. Regional, possible daughters might not present changes; students can notice ridiculous, l	Conventional childr	5192	0	1	1
-Acts	Bad cards must make.	5218	0	1	1
-Acts	Conventional childr	5218	0	1	1
-Actual, grey hands giv		5214	0	1	1
-Acute, important performances afford. New, nuclear men used to assess again small results.		5187	0	1	1
-Added, similar grounds spend also concrete terms. Fellow, mass	Important issues liv	5206	0	1	1
-Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the 	Doors canno	5216	0	1	1
-Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the 	Important issues liv	5214	0	1	1
-Adequate things reassure unknown legs. Old, possible bishops shall locate else during a companies; bitter, alone 	Bad cards must make.	5206	0	1	1
-Adequately unemployed aspects ought to keep on a years. Years get somewhere sometimes late examples; laws must shape determined stones. Recently real decisions may cost now other female thousands. 	Conventional childr	5214	0	1	1
-Adequately unemployed aspects ought to keep on a years. Years get somewhere sometimes late examples; laws must shape determined stones. Recently real decisions may cost now other female thousands. 	Important issues liv	5214	0	1	1
-Adults throw close recent women. Orange, guilty libraries let earnings. Initiatives ought to walk. Simple, successful states might work eventually full orders. Formerly very 		5206	0	1	1
-Adults throw close recent women. Orange, guilty libraries let earnings. Initiatives ought to walk. Simple, successful states might work eventually full orders. Formerly very 	Bad cards must make.	5206	0	1	1
-Advanced, certain fields miss electronically for the books. Open measures match therefore s	Doors canno	5196	0	1	1
-Advanced, certain fields miss electronically for the books. Open measures match therefore s	Important issues liv	5210	0	1	1
-Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair		5206	0	1	1
-Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair	Doors canno	5186	0	1	1
-Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair	Important issues liv	5186	0	1	1
-Afraid years suspend much building		5171	0	1	1
-Afraid, grey officers mean costly institutions. Societi	Conventional childr	5199	0	1	1
-Afraid, old meals will get chronic, strong applicants. Arms could look with a needs. Hence wor	Important issues liv	5210	0	1	1
-Afraid, southern problems need according to a dec	Conventional childr	5207	0	1	1
-Afraid, southern problems need according to a dec	Important issues liv	5207	0	1	1
-Again available bags breathe good circumstances. Thus final cases must 	Bad cards must make.	5214	0	1	1
-Again available bags breathe good circumstances. Thus final cases must 	Conventional childr	5218	0	1	1
-Again judicial colours may blame fully british strange groups. Rules shall cover probably participants. W		5214	0	1	1
-Again small deaths could flou	Bad cards must make.	5175	0	1	1
-Agencies shall not consider false in a others. Obviously interesting authorities come anyway men. Small, 	Important issues liv	5206	0	1	1
-Agents see companies. Weekly clergy might not enable always mere studies. Men throw possible relations. Then static rights wr	Conventional childr	5209	0	1	1
-Ago foreign writings leave; even considerable artists let fully then minimal workers. Clear ministers keep. Specifically dry men increase central tests. Living, alternative meanings ought	Important issues liv	5180	0	1	1
-Ago regional objects finish courts. Large, serio	Bad cards must make.	5187	0	1	1
-Agricultural, difficult engines marry according to the things; instances shall not go however quietly statutory images. Still sharp patients work no doubt producers. Magazines 	Doors canno	5210	0	1	1
-Agricultural, selective groups follow much worthwhile panels. Fully sim	Bad cards must make.	5207	0	1	1
-Aims play already	Doors canno	5198	0	1	1
-Al		5167	0	1	1
-All 	Bad cards must make.	5175	0	1	1
-All 	Important issues liv	5210	0	1	1
-All numerous reasons explain upper teachers; necessary, inte	Bad cards must make.	5181	0	1	1
-All realistic employees should attempt all only expert parties. Complete days cannot come as possible rules. Normal candidates would not pay there improved, o	Doors canno	5204	0	1	1
-All right deliberate difficulties wait still between a seats; final, actual jobs may mee	Bad cards must make.	5212	0	1	1
-All right deliberate difficulties wait still between a seats; final, actual jobs may mee	Conventional childr	5174	0	1	1
-All right used men must demand. Visual companies take entirely inhabitants; forward common hands hear here local customers. So traditional questions shal	Doors canno	5188	0	1	1
-Alm	Important issues liv	5204	0	1	1
-Almost armed animals will maintain always pure, professional days; differe	Conventional childr	5175	0	1	1
-Almost armed animals will maintain always pure, professional days; differe	Doors canno	5175	0	1	1
-Almost armed animals will maintain always pure, professional days; differe	Important issues liv	5175	0	1	1
-Almost low provisions suggest to	Conventional childr	5211	0	1	1
-Almost separate f		5215	0	1	1
-Almost separate f	Bad cards must make.	5215	0	1	1
-Alone days must undertake children; pages will face cases. Days fit especially black standards. Certain, involved numbers may not intend high, 	Conventional childr	5176	0	1	1
-Alone relevant nights pretend so complete years. Currently new unions make horizontally bills. Most political troops could give most possible, australian elements; flowers shall recall most pop	Important issues liv	5212	0	1	1
-Alone working-class dates open from a issues. Most european concessions will not tell personal areas; central, poor officials might not act 	Doors canno	5197	0	1	1
-Alone, small conditions get either likely companies. Inner, long-term patients make hot rebels. Procedures see fi	Important issues liv	5215	0	1	1
-Already european mothers ought to impose big ever fixed parents. Dominant groups say even. Here basic weeks set as winners. Modern, young prayers release very environ	Doors canno	5215	0	1	1
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q73.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q73.out
deleted file mode 100644
index 802aacaefe..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q73.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q73 --
-Greene	Clarence		N	1541	5
-Peterson	Chantell	Miss	N	47551	5
-Scott	Anne	Dr.	N	86396	5
-Wheeler	Ashley	Mrs.	N	174863	5
-Dion	Alva	Mrs.	N	113766	4
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q74.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q74.out
deleted file mode 100644
index 8fb21ea9ae..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q74.out
+++ /dev/null
@@ -1,95 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q74 --
-AAAAAAAAAMGDAAAA	Kenneth	Harlan
-AAAAAAAAANFAAAAA	Philip	Banks
-AAAAAAAAAOPFBAAA	Jerry	Fields
-AAAAAAAABLEIBAAA	Paula	Wakefield
-AAAAAAAABNBBAAAA	Irma	Smith
-AAAAAAAACADPAAAA	Cristobal	Thomas
-AAAAAAAACFCGBAAA	Marcus	Sanders
-AAAAAAAACFENAAAA	Christopher	Dawson
-AAAAAAAACIJMAAAA	Elizabeth	Thomas
-AAAAAAAACJDIAAAA	James	Kerr
-AAAAAAAACNAGBAAA	Virginia	May
-AAAAAAAADBEFBAAA	Bennie	Bowers
-AAAAAAAADCKOAAAA	Robert	Gonzalez
-AAAAAAAADFIEBAAA	John	Gray
-AAAAAAAADFKABAAA	Latoya	Craft
-AAAAAAAADIIOAAAA	David	Carroll
-AAAAAAAADIJGBAAA	Ruth	Sanders
-AAAAAAAADLHBBAAA	Henry	Bertrand
-AAAAAAAAEADJAAAA	Ruth	Carroll
-AAAAAAAAEJDLAAAA	Alice	Wright
-AAAAAAAAEKFPAAAA	Annika	Chin
-AAAAAAAAEKJLAAAA	Aisha	Carlson
-AAAAAAAAEOAKAAAA	Molly	Benjamin
-AAAAAAAAEPOGAAAA	Felisha	Mendes
-AAAAAAAAFACEAAAA	Priscilla	Miller
-AAAAAAAAFBAHAAAA	Michael	Williams
-AAAAAAAAFGIGAAAA	Eduardo	Miller
-AAAAAAAAFGPGAAAA	Albert	Wadsworth
-AAAAAAAAFHACBAAA		
-AAAAAAAAFJHFAAAA	Larissa	Roy
-AAAAAAAAFMHIAAAA	Emilio	Darling
-AAAAAAAAFOGIAAAA	Michelle	Greene
-AAAAAAAAFOJAAAAA	Don	Castillo
-AAAAAAAAGEHIAAAA	Tyler	Miller
-AAAAAAAAGFMDBAAA	Kathleen	Gibson
-AAAAAAAAGHPBBAAA	Nick	Mendez
-AAAAAAAAGNDAAAAA	Terry	Mcdowell
-AAAAAAAAHGOABAAA	Sonia	White
-AAAAAAAAHHCABAAA	William	Stewart
-AAAAAAAAHJLAAAAA	Audrey	Beltran
-AAAAAAAAHMJNAAAA	Ryan	Baptiste
-AAAAAAAAHMOIAAAA	Grace	Henderson
-AAAAAAAAHNFHAAAA	Rebecca	Wilson
-AAAAAAAAIADEBAAA	Diane	Aldridge
-AAAAAAAAIBAEBAAA	Sandra	Wilson
-AAAAAAAAIBFCBAAA	Ruth	Grantham
-AAAAAAAAIBHHAAAA	Jennifer	Ballard
-AAAAAAAAICHFAAAA	Linda	Mccoy
-AAAAAAAAIDKFAAAA	Michael	Mack
-AAAAAAAAIJEMAAAA	Charlie	Cummings
-AAAAAAAAIMHBAAAA	Kathy	Knowles
-AAAAAAAAIMHHBAAA	Lillian	Davidson
-AAAAAAAAJEKFBAAA	Norma	Burkholder
-AAAAAAAAJGMMAAAA	Richard	Larson
-AAAAAAAAJIALAAAA	Santos	Gutierrez
-AAAAAAAAJKBNAAAA	Julie	Kern
-AAAAAAAAJONHBAAA	Warren	Orozco
-AAAAAAAAKAECAAAA	Milton	Mackey
-AAAAAAAAKBCABAAA	Debra	Bell
-AAAAAAAAKJBKAAAA	Georgia	Scott
-AAAAAAAAKJBLAAAA	Kerry	Davis
-AAAAAAAAKKGEAAAA	Katie	Dunbar
-AAAAAAAAKLHHBAAA	Manuel	Castaneda
-AAAAAAAAKNAKAAAA	Gladys	Banks
-AAAAAAAAKOJJAAAA	Gracie	Mendoza
-AAAAAAAALFKKAAAA	Ignacio	Miller
-AAAAAAAALHMCAAAA	Brooke	Nelson
-AAAAAAAALIOPAAAA	Derek	Allen
-AAAAAAAALJNCBAAA	George	Gamez
-AAAAAAAAMDCAAAAA	Louann	Hamel
-AAAAAAAAMFFLAAAA	Margret	Gray
-AAAAAAAAMMOBBAAA	Margaret	Smith
-AAAAAAAANFBDBAAA	Vernice	Fernandez
-AAAAAAAANGDBBAAA	Carlos	Jewell
-AAAAAAAANIPLAAAA	Eric	Lawrence
-AAAAAAAANJAGAAAA	Allen	Hood
-AAAAAAAANJHCBAAA	Christopher	Schreiber
-AAAAAAAAOBADBAAA	Elizabeth	Burnham
-AAAAAAAAOCAJAAAA	Jenna	Staton
-AAAAAAAAOCDJAAAA	Nina	Sanchez
-AAAAAAAAOCICAAAA	Zachary	Pennington
-AAAAAAAAOCLBBAAA		
-AAAAAAAAOFLCAAAA	James	Taylor
-AAAAAAAAOPDLAAAA	Ann	Pence
-AAAAAAAAPDFBAAAA	Terrance	Banks
-AAAAAAAAPEHEBAAA	Edith	Molina
-AAAAAAAAPFCLAAAA	Felicia	Neville
-AAAAAAAAPJENAAAA	Ashley	Norton
-AAAAAAAAPKBCBAAA	Andrea	White
-AAAAAAAAPKIKAAAA	Wendy	Horvath
-AAAAAAAAPMMBBAAA	Paul	Jordan
-AAAAAAAAPPIBBAAA	Candice	Lee
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q75.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q75.out
deleted file mode 100644
index 1ae070ba66..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q75.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q75 --
-2001	2002	9011004	11	9	730	6136	3927	-2209	-64592.85999999996
-2001	2002	9004008	4	9	454	6130	4012	-2118	-137401.99
-2001	2002	9006010	6	9	373	6584	4510	-2074	-56824.27000000005
-2001	2002	9003002	3	9	331	6314	4249	-2065	-162310.86999999988
-2001	2002	9016002	16	9	761	6098	4109	-1989	-75674.22999999992
-2001	2002	2001001	7	9	85	5689	3750	-1939	-79485.07
-2001	2002	9011010	11	9	254	6635	4698	-1937	-108841.59000000003
-2001	2002	9003002	3	9	1000	6152	4220	-1932	-51341.52000000002
-2001	2002	9009010	1	9	311	6980	5065	-1915	-166624.09999999998
-2001	2002	9003004	3	9	25	6382	4612	-1770	-109080.80000000005
-2001	2002	9008008	8	9	322	5391	3664	-1727	-58283.909999999974
-2001	2002	3004001	1	9	89	6307	4616	-1691	-105539.1
-2001	2002	9014004	12	9	423	6427	4742	-1685	-66528.44999999995
-2001	2002	1001001	5	9	172	5642	3998	-1644	-65808.52000000005
-2001	2002	8007009	9	9	322	5493	3906	-1587	-31458.780000000028
-2001	2002	9015002	15	9	303	5722	4211	-1511	-81847.95000000001
-2001	2002	8015003	4	9	289	6413	4905	-1508	-140884.23000000004
-2001	2002	9002008	2	9	202	5758	4287	-1471	-27415.179999999993
-2001	2002	9004002	4	9	55	5596	4196	-1400	-277.9199999999837
-2001	2002	9010002	10	9	432	5153	3767	-1386	-56643.30999999997
-2001	2002	9015003	15	9	278	5120	3745	-1375	-61503.40000000002
-2001	2002	5001001	10	9	136	5271	3918	-1353	-52691.73999999996
-2001	2002	9007002	7	9	207	6416	5088	-1328	-28312.290000000008
-2001	2002	9016004	8	9	114	5560	4263	-1297	-65169.899999999994
-2001	2002	9007004	7	9	968	5625	4330	-1295	-86120.30000000005
-2001	2002	9008008	8	9	535	6155	4861	-1294	-66647.46999999997
-2001	2002	3003001	1	9	175	6170	4892	-1278	-72260.64000000004
-2001	2002	9010004	3	9	948	5640	4387	-1253	-34985.50999999998
-2001	2002	9012008	12	9	249	5254	4002	-1252	-15484.879999999946
-2001	2002	9015008	15	9	281	5558	4315	-1243	10022.909999999974
-2001	2002	9006004	6	9	620	4822	3594	-1228	-19309.879999999976
-2001	2002	9010008	10	9	171	6500	5279	-1221	-73654.22999999998
-2001	2002	9004008	4	9	256	5366	4164	-1202	-93628.46000000002
-2001	2002	9008008	8	9	82	6042	4852	-1190	-78558.04999999999
-2001	2002	9014010	2	9	727	6579	5396	-1183	-45368.94000000003
-2001	2002	10002014	1	9	12	5662	4515	-1147	-47170.69999999995
-2001	2002	9005002	5	9	105	5650	4508	-1142	-75927.6100000001
-2001	2002	1001001	1	9	183	5538	4417	-1121	-34086.49000000002
-2001	2002	8015005	11	9	898	5677	4557	-1120	-49916.130000000005
-2001	2002	9016010	16	9	662	5306	4197	-1109	-29664.54999999999
-2001	2002	2001001	1	9	151	6309	5200	-1109	-13881.979999999981
-2001	2002	7007001	12	9	221	6250	5147	-1103	8445.219999999972
-2001	2002	9010008	10	9	106	5739	4637	-1102	-39967.25999999998
-2001	2002	5001001	6	9	201	5714	4615	-1099	-2073.6100000000442
-2001	2002	9002004	2	9	578	5976	4881	-1095	-26222.70000000001
-2001	2002	9013010	12	9	28	5672	4579	-1093	-61365.100000000006
-2001	2002	9003002	3	9	238	5784	4694	-1090	-52094.93000000002
-2001	2002	9012010	12	9	4	6214	5128	-1086	-41244.90000000005
-2001	2002	4003001	6	9	356	5890	4815	-1075	-19594.679999999993
-2001	2002	9009002	9	9	633	5839	4786	-1053	-40163.899999999994
-2001	2002	9006010	6	9	100	5322	4271	-1051	-65656.48999999999
-2001	2002	9003002	3	9	130	5708	4658	-1050	-121435.05000000008
-2001	2002	9011004	3	9	115	5101	4064	-1037	-38404.06999999998
-2001	2002	9006008	6	9	156	5824	4793	-1031	-16295.149999999994
-2001	2002	4004001	10	9	105	5560	4533	-1027	-29705.359999999986
-2001	2002	9009008	9	9	3	5731	4718	-1013	-62660.48000000007
-2001	2002	10005001	5	9	65	5890	4879	-1011	-57577.01000000001
-2001	2002	9007008	7	9	122	6085	5077	-1008	-108804.86000000002
-2001	2002	9001008	1	9	258	5714	4706	-1008	-73311.07
-2001	2002	9003008	3	9	382	5145	4143	-1002	-23005.47999999998
-2001	2002	2001001	1	9	177	5711	4718	-993	-45422.399999999994
-2001	2002	8002001	13	9	268	5521	4545	-976	-50681.48999999999
-2001	2002	9010008	10	9	9	5549	4578	-971	45104.79000000001
-2001	2002	5002001	2	9	230	5856	4887	-969	-25537.869999999966
-2001	2002	10015001	1	9	399	6188	5225	-963	-76365.39000000001
-2001	2002	9010004	10	9	110	5035	4082	-953	-81282.12
-2001	2002	9013010	3	9	235	5771	4821	-950	-81516.66999999995
-2001	2002	9003004	3	9	311	5414	4467	-947	-19498.97999999998
-2001	2002	9007008	7	9	766	5412	4470	-942	-43150.76000000004
-2001	2002	3003001	9	9	210	5703	4761	-942	-22794.719999999972
-2001	2002	9010008	10	9	621	5897	4955	-942	-1466.7500000000582
-2001	2002	4001001	15	9	42	5385	4444	-941	-77081.26999999999
-2001	2002	9012010	12	9	268	5363	4425	-938	-13775.609999999986
-2001	2002	4002001	2	9	891	6168	5233	-935	-54473.399999999965
-2001	2002	10011013	11	9	123	6141	5207	-934	-77290.63
-2001	2002	9005002	5	9	379	5673	4742	-931	-66550.2400000001
-2001	2002	9005002	5	9	35	6085	5166	-919	-23898.74999999997
-2001	2002	9014008	14	9	904	5637	4725	-912	-54696.64000000004
-2001	2002	9010002	10	9	351	5553	4668	-885	-58399.98999999999
-2001	2002	9002008	2	9	603	5399	4518	-881	-8944.73999999999
-2001	2002	9005002	5	9	226	6438	5559	-879	-78309.56
-2001	2002	9016008	16	9	134	5482	4617	-865	-93343.24999999994
-2001	2002	7004007	2	9	248	5385	4527	-858	-59997.869999999995
-2001	2002	9002002	2	9	556	5690	4832	-858	2965.4700000000594
-2001	2002	6012003	9	9	48	5468	4620	-848	17912.879999999976
-2001	2002	9013010	13	9	288	5473	4631	-842	22917.880000000063
-2001	2002	9009008	9	9	958	5837	5002	-835	-63092.619999999995
-2001	2002	9015008	15	9	384	5348	4519	-829	-29937.399999999994
-2001	2002	1003001	3	9	242	5504	4697	-807	-10853.559999999998
-2001	2002	9011002	11	9	372	5085	4279	-806	-78551.75
-2001	2002	9015002	15	9	224	5915	5112	-803	-46136.84999999998
-2001	2002	9015002	15	9	531	5831	5029	-802	-10846.839999999938
-2001	2002	2004001	16	9	443	5269	4475	-794	-28869.680000000022
-2001	2002	9003010	3	9	269	6297	5505	-792	-53827.189999999944
-2001	2002	9007002	7	9	306	5398	4608	-790	-67953.63999999996
-2001	2002	9012004	12	9	808	5796	5006	-790	-43025.360000000044
-2001	2002	6015001	15	9	543	5041	4252	-789	3631.399999999965
-2001	2002	9004012	4	9	621	5974	5186	-788	52156.560000000056
-2001	2002	9010008	10	9	284	5382	4597	-785	22162.919999999984
-2001	2002	9011002	11	9	42	5750	4968	-782	-87125.33000000002
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q76.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q76.out
deleted file mode 100644
index ea2575c7e4..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q76.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q76 --
-catalog	cs_ship_addr_sk	1998	1	Books	14	24660.12
-catalog	cs_ship_addr_sk	1998	1	Children	5	5064.75
-catalog	cs_ship_addr_sk	1998	1	Electronics	13	31709.80
-catalog	cs_ship_addr_sk	1998	1	Home	12	11651.18
-catalog	cs_ship_addr_sk	1998	1	Jewelry	13	13102.23
-catalog	cs_ship_addr_sk	1998	1	Men	11	17458.37
-catalog	cs_ship_addr_sk	1998	1	Music	13	6741.65
-catalog	cs_ship_addr_sk	1998	1	Shoes	9	24531.24
-catalog	cs_ship_addr_sk	1998	1	Sports	9	19244.50
-catalog	cs_ship_addr_sk	1998	1	Women	13	24864.50
-catalog	cs_ship_addr_sk	1998	2	\N	1	1535.61
-catalog	cs_ship_addr_sk	1998	2	Books	14	16581.16
-catalog	cs_ship_addr_sk	1998	2	Children	12	26195.71
-catalog	cs_ship_addr_sk	1998	2	Electronics	9	7133.74
-catalog	cs_ship_addr_sk	1998	2	Home	15	44228.54
-catalog	cs_ship_addr_sk	1998	2	Jewelry	11	6804.54
-catalog	cs_ship_addr_sk	1998	2	Men	11	11700.11
-catalog	cs_ship_addr_sk	1998	2	Music	10	32062.82
-catalog	cs_ship_addr_sk	1998	2	Shoes	7	4682.58
-catalog	cs_ship_addr_sk	1998	2	Sports	7	5470.29
-catalog	cs_ship_addr_sk	1998	2	Women	5	14928.09
-catalog	cs_ship_addr_sk	1998	3	Books	20	22224.09
-catalog	cs_ship_addr_sk	1998	3	Children	19	18667.83
-catalog	cs_ship_addr_sk	1998	3	Electronics	15	21854.97
-catalog	cs_ship_addr_sk	1998	3	Home	22	24690.28
-catalog	cs_ship_addr_sk	1998	3	Jewelry	14	4586.41
-catalog	cs_ship_addr_sk	1998	3	Men	20	30700.69
-catalog	cs_ship_addr_sk	1998	3	Music	23	44816.68
-catalog	cs_ship_addr_sk	1998	3	Shoes	20	33458.73
-catalog	cs_ship_addr_sk	1998	3	Sports	25	35679.92
-catalog	cs_ship_addr_sk	1998	3	Women	22	48029.28
-catalog	cs_ship_addr_sk	1998	4	\N	2	839.65
-catalog	cs_ship_addr_sk	1998	4	Books	28	46283.99
-catalog	cs_ship_addr_sk	1998	4	Children	40	57305.90
-catalog	cs_ship_addr_sk	1998	4	Electronics	29	42656.07
-catalog	cs_ship_addr_sk	1998	4	Home	29	29708.36
-catalog	cs_ship_addr_sk	1998	4	Jewelry	29	24689.26
-catalog	cs_ship_addr_sk	1998	4	Men	36	64378.63
-catalog	cs_ship_addr_sk	1998	4	Music	35	51308.03
-catalog	cs_ship_addr_sk	1998	4	Shoes	27	10881.49
-catalog	cs_ship_addr_sk	1998	4	Sports	33	33380.56
-catalog	cs_ship_addr_sk	1998	4	Women	35	14347.96
-catalog	cs_ship_addr_sk	1999	1	Books	14	35278.57
-catalog	cs_ship_addr_sk	1999	1	Children	13	17183.17
-catalog	cs_ship_addr_sk	1999	1	Electronics	4	153.18
-catalog	cs_ship_addr_sk	1999	1	Home	11	19895.88
-catalog	cs_ship_addr_sk	1999	1	Jewelry	9	1341.90
-catalog	cs_ship_addr_sk	1999	1	Men	9	6625.86
-catalog	cs_ship_addr_sk	1999	1	Music	10	27861.23
-catalog	cs_ship_addr_sk	1999	1	Shoes	15	5365.20
-catalog	cs_ship_addr_sk	1999	1	Sports	9	10745.83
-catalog	cs_ship_addr_sk	1999	1	Women	11	15388.74
-catalog	cs_ship_addr_sk	1999	2	Books	6	3659.91
-catalog	cs_ship_addr_sk	1999	2	Children	13	6066.50
-catalog	cs_ship_addr_sk	1999	2	Electronics	10	14915.50
-catalog	cs_ship_addr_sk	1999	2	Home	13	12035.96
-catalog	cs_ship_addr_sk	1999	2	Jewelry	6	23975.00
-catalog	cs_ship_addr_sk	1999	2	Men	13	16414.16
-catalog	cs_ship_addr_sk	1999	2	Music	13	6061.53
-catalog	cs_ship_addr_sk	1999	2	Shoes	10	12500.71
-catalog	cs_ship_addr_sk	1999	2	Sports	11	2181.52
-catalog	cs_ship_addr_sk	1999	2	Women	11	16390.31
-catalog	cs_ship_addr_sk	1999	3	Books	18	29809.59
-catalog	cs_ship_addr_sk	1999	3	Children	16	12816.74
-catalog	cs_ship_addr_sk	1999	3	Electronics	17	36415.09
-catalog	cs_ship_addr_sk	1999	3	Home	15	19664.04
-catalog	cs_ship_addr_sk	1999	3	Jewelry	20	23257.68
-catalog	cs_ship_addr_sk	1999	3	Men	19	20150.72
-catalog	cs_ship_addr_sk	1999	3	Music	20	12062.24
-catalog	cs_ship_addr_sk	1999	3	Shoes	13	14924.61
-catalog	cs_ship_addr_sk	1999	3	Sports	24	56456.44
-catalog	cs_ship_addr_sk	1999	3	Women	17	6958.54
-catalog	cs_ship_addr_sk	1999	4	\N	1	\N
-catalog	cs_ship_addr_sk	1999	4	Books	27	50890.95
-catalog	cs_ship_addr_sk	1999	4	Children	36	30608.13
-catalog	cs_ship_addr_sk	1999	4	Electronics	28	59307.37
-catalog	cs_ship_addr_sk	1999	4	Home	46	51713.78
-catalog	cs_ship_addr_sk	1999	4	Jewelry	34	44238.07
-catalog	cs_ship_addr_sk	1999	4	Men	19	17925.34
-catalog	cs_ship_addr_sk	1999	4	Music	28	14816.79
-catalog	cs_ship_addr_sk	1999	4	Shoes	35	48226.50
-catalog	cs_ship_addr_sk	1999	4	Sports	32	35012.19
-catalog	cs_ship_addr_sk	1999	4	Women	30	24033.32
-catalog	cs_ship_addr_sk	2000	1	Books	15	50786.51
-catalog	cs_ship_addr_sk	2000	1	Children	6	5623.72
-catalog	cs_ship_addr_sk	2000	1	Electronics	13	35869.18
-catalog	cs_ship_addr_sk	2000	1	Home	14	11212.87
-catalog	cs_ship_addr_sk	2000	1	Jewelry	9	16751.45
-catalog	cs_ship_addr_sk	2000	1	Men	14	34465.53
-catalog	cs_ship_addr_sk	2000	1	Music	9	23103.03
-catalog	cs_ship_addr_sk	2000	1	Shoes	9	2854.29
-catalog	cs_ship_addr_sk	2000	1	Sports	5	159.04
-catalog	cs_ship_addr_sk	2000	1	Women	8	8663.29
-catalog	cs_ship_addr_sk	2000	2	Books	14	18943.05
-catalog	cs_ship_addr_sk	2000	2	Children	8	7309.74
-catalog	cs_ship_addr_sk	2000	2	Electronics	9	11856.27
-catalog	cs_ship_addr_sk	2000	2	Home	8	10107.78
-catalog	cs_ship_addr_sk	2000	2	Jewelry	9	19113.02
-catalog	cs_ship_addr_sk	2000	2	Men	12	41513.90
-catalog	cs_ship_addr_sk	2000	2	Music	10	7181.12
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q77.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q77.out
deleted file mode 100644
index 734ff26cd0..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q77.out
+++ /dev/null
@@ -1,47 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q77 --
-\N	\N	562937653.47	12490154.95	-100351224.00
-catalog channel	\N	538912.55	2050279.74	-1383554.73
-catalog channel	\N	404410817.75	8201118.96	-42762489.82
-catalog channel	1	132885061.65	2050279.74	-12674076.58
-catalog channel	2	140503047.65	2050279.74	-14906564.08
-catalog channel	5	130483795.90	2050279.74	-13798294.43
-store channel	\N	117249373.32	3173554.99	-52383291.20
-store channel	1	20390161.35	562762.31	-9133254.67
-store channel	2	19807085.95	539649.43	-8817821.00
-store channel	4	19599593.20	557973.00	-8389920.41
-store channel	7	19480205.51	520479.41	-8861241.78
-store channel	8	18636331.60	472731.69	-8409599.72
-store channel	10	19335995.71	519959.15	-8771453.62
-web channel	\N	41277462.40	1115481.00	-5205442.98
-web channel	1	1226811.57	28406.98	-227375.53
-web channel	2	1191229.91	99179.48	-264992.86
-web channel	5	1467083.19	21625.36	-147366.78
-web channel	7	1343208.21	67708.76	-200969.21
-web channel	8	1262065.97	46749.46	-271001.70
-web channel	11	1425934.76	10034.84	-84693.54
-web channel	13	1335813.60	62142.91	-218022.02
-web channel	14	1469352.58	50742.65	-197789.09
-web channel	17	1219451.02	28732.85	-205497.30
-web channel	19	1343058.55	24108.59	-175397.06
-web channel	20	1511303.97	42538.28	-89439.28
-web channel	23	1409483.07	37116.42	-89855.78
-web channel	25	1370755.17	48916.38	-207512.02
-web channel	26	1465712.89	48072.56	-157007.72
-web channel	29	1407813.82	19233.11	-188381.47
-web channel	31	1369226.19	25494.42	-180972.91
-web channel	32	1166947.23	50731.53	-189061.60
-web channel	35	1400811.57	22363.43	-189390.67
-web channel	37	1407716.73	32534.27	-127244.28
-web channel	38	1444241.42	41815.25	-135372.36
-web channel	41	1492530.29	19599.96	-101110.49
-web channel	43	1343104.79	41175.01	-227340.10
-web channel	44	1416507.16	37134.99	-274620.10
-web channel	47	1449718.94	15989.92	-105473.72
-web channel	49	1414898.83	45004.31	-146020.31
-web channel	50	1319375.84	28284.26	-151036.44
-web channel	53	1389137.89	24570.34	-120694.61
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q78.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q78.out
deleted file mode 100644
index 5d67200bef..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q78.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q78 --
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-2000	3691	60308	0.27	34	68.21	94.29	127	98.9	154.94
-2000	3691	60308	0.22	34	68.21	94.29	154	100.26	128.4
-2000	3691	60308	0.22	34	68.21	94.29	156	133.83	189.11
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-2000	6133	24941	0.34	23	70.89	56.56	67	177.27	49.37
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-2000	6185	67634	0.03	2	47.05	6.78	59	102.78	29.84
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q79.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q79.out
deleted file mode 100644
index af15711a5b..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q79.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q79 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q80.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q80.out
deleted file mode 100644
index 73ef18fba2..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q80.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q80 --
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-catalog channel	catalog_pageAAAAAAAADMCBAAAA	2420.23	0.00	-1610.01
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-catalog channel	catalog_pageAAAAAAAADNCBAAAA	9986.56	5534.72	1208.35
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q81.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q81.out
deleted file mode 100644
index e0217c96ac..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q81.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q81 --
-AAAAAAAAABBEAAAA	Dr.	Oscar	Fox	183	15th 	Ln	Suite P	Greenwood	Clay County	GA	38828	United States	-5.00	condo	4607.92
-AAAAAAAAADCEBAAA	Sir	Billy	Bell	690	4th Fifth	Ct.	Suite 390	Hillcrest	Spalding County	GA	33003	United States	-5.00	condo	5567.44
-AAAAAAAAAFBGAAAA	Mrs.	Erika	Buford	527	1st 	Ln	Suite 380	Lakewood	Jasper County	GA	38877	United States	-5.00	single family	5412.16
-AAAAAAAAAFLABAAA	Mr.	Richard	James	40	2nd Miller	Road	Suite 190	Arlington	Morgan County	GA	36557	United States	-5.00	apartment	2249.10
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-AAAAAAAAAIECBAAA	Miss	Elizabeth	Schneider	131	4th 	Street	Suite N	Forest Hills	Ware County	GA	39237	United States	-5.00	condo	9973.72
-AAAAAAAAAIEHBAAA	Miss	Tamara	Chestnut	934	13th Cherry	Blvd	Suite O	Antioch	Haralson County	GA	38605	United States	-5.00	condo	1639.26
-AAAAAAAAAJLNAAAA	Dr.	Sheree	Bragg	664	Elm 4th	Ave	Suite 320	Glenwood	McDuffie County	GA	33511	United States	-5.00	condo	3012.45
-AAAAAAAAAJNEBAAA	Dr.	David	Hamilton	108	Spring Wilson	Ct.	Suite F	Glenwood	Macon County	GA	33511	United States	-5.00	apartment	2567.79
-AAAAAAAAAKJOAAAA	Dr.	Gus	Stewart	883	Valley 	Drive	Suite J	Macedonia	Lanier County	GA	31087	United States	-5.00	single family	3530.28
-AAAAAAAAAMFBBAAA	Mr.	Jackson		177	8th Walnut	Ct.	Suite 300	Riverview	Jenkins County	GA	39003	United States	-5.00	single family	4875.86
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-AAAAAAAAANLABAAA	Sir	Thomas	Zimmerman	496	Forest 	ST	Suite L	Saratoga	Lumpkin County	GA	32123	United States	-5.00	apartment	9193.95
-AAAAAAAAAODFAAAA	Mrs.	Kathy	Villegas	156	4th Sunset	Cir.	Suite I	Red Hill	Appling County	GA	34338	United States	-5.00	single family	2106.00
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-AAAAAAAAAOEBBAAA	Sir	Benjamin	Parker	698	6th 	Drive	Suite O	Plainview	Screven County	GA	33683	United States	-5.00	apartment	9787.55
-AAAAAAAAAPBBBAAA	Sir	Donald	Littlejohn	467	Lake 	Ln	Suite 20	Riverside	Turner County	GA	39231	United States	-5.00	single family	4831.52
-AAAAAAAABABBBAAA	Mr.	David	Roe	521	Jefferson 	Parkway	Suite 120	Enterprise	Wilcox County	GA	31757	United States	-5.00	apartment	4079.80
-AAAAAAAABACGAAAA		Catherine		463	Miller 	Lane	Suite Y	Woodland	Walton County	GA	34854	United States	-5.00	apartment	8619.84
-AAAAAAAABAJHAAAA	Mrs.	Doris	Gillespie	179	Washington Chestnut	Dr.	Suite W	Jackson	Columbia County	GA	39583	United States	-5.00	condo	4617.58
-AAAAAAAABANGBAAA	Mr.	Ralph	Condon	755	Davis 	Blvd	Suite 280	Antioch	Pike County	GA	38605	United States	-5.00	condo	14966.24
-AAAAAAAABBHKAAAA	Mrs.	Kristin	Grant	870	Ash Park	Ave	Suite 300	Lakeview	Harris County	GA	38579	United States	-5.00	single family	3580.44
-AAAAAAAABBOBBAAA	Mr.	Herman	Rivera	396	Walnut 	Cir.	Suite P	Athens	Baldwin County	GA	36796	United States	-5.00	single family	4608.96
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-AAAAAAAABCIMAAAA	Dr.	Becky	Seals	174	Park Park	Ct.	Suite H	Green Acres	Schley County	GA	37683	United States	-5.00	single family	2980.15
-AAAAAAAABDHFAAAA	Mr.	Charles	Miller	531	Church 14th	Circle	Suite 60	Ashland	Franklin County	GA	34244	United States	-5.00	apartment	3241.85
-AAAAAAAABEHABAAA	Dr.	Gregory		391	Seventh 	Road	Suite Q	Oakwood	Liberty County	GA	30169	United States	-5.00	single family	3520.33
-AAAAAAAABFNHBAAA	Ms.	Janet	York	972	2nd Third	Road	Suite 120	Crossroads	Jackson County	GA	30534	United States	-5.00	apartment	5047.25
-AAAAAAAABGDGBAAA	Sir	Brian	Adams	915	Jackson 	RD	Suite O	Concord	Columbia County	GA	34107	United States	-5.00	apartment	2912.27
-AAAAAAAABGLCBAAA	Dr.	Joseph	Torres	103	Highland 7th	Court	Suite I	Wilson	Jenkins County	GA	36971	United States	-5.00	single family	1842.89
-AAAAAAAABHOFAAAA	Ms.	Anthony		518	Meadow Smith	Ct.	Suite C	Riverdale	Bleckley County	GA	39391	United States	-5.00	single family	1878.44
-AAAAAAAABIMMAAAA	Dr.	Shanna	Mcrae	764	Walnut 	Street	Suite B	Brownsville	Lumpkin County	GA	39310	United States	-5.00	condo	7237.05
-AAAAAAAABINIAAAA	Dr.	Jose	Reynolds	571	Main 	Ave	Suite B	Mount Zion	Troup County	GA	38054	United States	-5.00	apartment	2463.65
-AAAAAAAABJMEAAAA	Miss	Deborah	Sheehan	450	Willow 	Cir.	Suite G	Marion	Franklin County	GA	30399	United States	-5.00	condo	6623.88
-AAAAAAAABKAIAAAA	Miss	Ruth	Rodriguez	706	Williams 	Pkwy	Suite Y	Antioch	Lanier County	GA	38605	United States	-5.00	single family	3025.05
-AAAAAAAABMBLAAAA	Ms.	Ava	Jackson	601	Fourth Washington	Way	Suite 440	Glendale	Cherokee County	GA	33951	United States	-5.00	apartment	1637.46
-AAAAAAAABMBLAAAA	Ms.	Ava	Jackson	601	Fourth Washington	Way	Suite 440	Glendale	Cherokee County	GA	33951	United States	-5.00	apartment	2373.14
-AAAAAAAABMFDAAAA	Mrs.	Megan	Webster	124	11th 	Pkwy	Suite K	Shady Grove	Miller County	GA	32812	United States	-5.00	single family	3059.27
-AAAAAAAABNMGBAAA	Mrs.	Wanda	Shumate	422	Pine 3rd	Cir.	Suite 170	Crossroads	Berrien County	GA	30534	United States	-5.00	single family	1699.41
-AAAAAAAABNMIAAAA	Miss	Bobbi	Erickson	731	Jefferson 	Parkway	Suite H	Mountain View	Taylor County	GA	34466	United States	-5.00	apartment	2925.34
-AAAAAAAABOAPAAAA	Ms.	Karen	Burt	794	Sunset Sunset	Drive	Suite 470	Glendale	Calhoun County	GA	33951	United States	-5.00	condo	8807.07
-AAAAAAAABOCDBAAA	Ms.	Flora	Messer	608	10th 	Court	Suite A	Highland Park	Dooly County	GA	36534	United States	-5.00	single family	3255.56
-AAAAAAAABPIMAAAA	Dr.	Steve	Cano	711	Park 	Ln	Suite N	Smith	Gwinnett County	GA	37317	United States	-5.00	single family	2086.39
-AAAAAAAACABFAAAA	Sir	Steven	Lamb	726	Cherry Hill	ST	Suite E	Woodville	Worth County	GA	34289	United States	-5.00	apartment	2361.71
-AAAAAAAACBDDAAAA	Sir	Terry	Seiler	960	Eigth 	Way	Suite 240	Mountain View	Putnam County	GA	34466	United States	-5.00	apartment	3222.09
-AAAAAAAACCBOAAAA	Sir	Patrick	Miller	577	Church 	Ave	Suite 110	Bethel	White County	GA	35281	United States	-5.00	single family	2927.35
-AAAAAAAACDOPAAAA	Mrs.	Carolyn	Singer	399	Second 	Boulevard	Suite O	White Oak	Wayne County	GA	36668	United States	-5.00	condo	4011.31
-AAAAAAAACFADBAAA				502	Willow Park	Cir.	Suite E	Dewey	Colquitt County	GA	31160	United States	-5.00	apartment	3732.03
-AAAAAAAACIHABAAA	Ms.	Arlene	Baker	216	Maple Walnut	Ave	Suite 310	Greenfield	Glascock County	GA	35038	United States	-5.00	single family	2857.28
-AAAAAAAACJCHAAAA	Mr.	Wilbur	Mullins	119	Eigth 	Dr.	Suite W	Fairview	Wilkes County	GA	35709	United States	-5.00	single family	4861.83
-AAAAAAAACJJKAAAA	Mr.	Ramon	Zaragoza	934	Park 	Lane	Suite K	Lakewood	Muscogee County	GA	38877	United States	-5.00	condo	9022.65
-AAAAAAAACKHEAAAA	Mr.	Richard	Leblanc	18	Green View	Court	Suite J	Woodville	Butts County	GA	34289	United States	-5.00	single family	3787.49
-AAAAAAAACODJAAAA	Dr.	Neal	Nash	95		Street	Suite 110	Spring Hill	Murray County	GA	36787		-5.00		2144.31
-AAAAAAAACOFIBAAA	Mr.	Fred	Morales	687	5th Park	Cir.	Suite X	Fairview	Murray County	GA	35709	United States	-5.00	condo	1936.70
-AAAAAAAACOHIAAAA	Mr.	Roger	Grider	191	Williams Second	Avenue	Suite 420	Brownsville	Coweta County	GA	39310	United States	-5.00	single family	5782.43
-AAAAAAAACPBABAAA	Miss	Lucile	Anderson	149	View Williams	Ct.	Suite L	Mount Pleasant	Washington County	GA	31933	United States	-5.00	single family	2600.59
-AAAAAAAADANFBAAA	Mrs.	Ann	Nadeau	247	Maple 	Avenue	Suite 260	Hamilton	Elbert County	GA	32808	United States	-5.00	single family	4103.32
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-AAAAAAAADBEIBAAA	Miss	Erica	Hill	396	Maple Johnson	Avenue	Suite R	Crossroads	Hall County	GA	30534	United States	-5.00	condo	4500.01
-AAAAAAAADBEOAAAA	Miss	Loretta	Smith	149	Maple 	ST	Suite 350	Fairview	Cherokee County	GA	35709	United States	-5.00	apartment	3810.28
-AAAAAAAADBFHBAAA	Mr.	Charles	Robinson	731	Ridge 	Lane	Suite 160	New Hope	Bartow County	GA	39431	United States	-5.00	apartment	4042.46
-AAAAAAAADCAEAAAA	Dr.	Joanna	Walker	665	15th Maple	Avenue	Suite Y	Camden	McDuffie County	GA	37119	United States	-5.00	single family	4067.57
-AAAAAAAADCLBAAAA	Mrs.	Evelyn	Hammett	302	1st Adams	Cir.	Suite 370	Five Points	Pulaski County	GA	36098	United States	-5.00	single family	2187.12
-AAAAAAAADDENAAAA	Sir	Alejandro	Doyle	916	Cherry Elm	ST	Suite 110	Providence	Clay County	GA	36614	United States	-5.00	single family	3357.92
-AAAAAAAADEGFAAAA	Sir	Jesse	Johnson	725	Laurel First	Parkway	Suite O	Pleasant Valley	Candler County	GA	32477	United States	-5.00	condo	4969.77
-AAAAAAAADGCCAAAA	Miss	Loretta	Moss	274	3rd Walnut	Ave	Suite L	Arlington	Lee County	GA	36557	United States	-5.00	condo	1891.74
-AAAAAAAADHFLAAAA	Mr.	George	Schneider	579	Johnson Ash	Way	Suite 110	Concord	Seminole County	GA	34107	United States	-5.00	condo	4011.59
-AAAAAAAADHOIAAAA	Miss	Andrew	James	139	Smith Lincoln	Lane	Suite 360	Stringtown	Coweta County	GA	30162	United States	-5.00	condo	2834.91
-AAAAAAAADJABAAAA	Mrs.	Charity	Arroyo	158	Highland Elm	Ln	Suite K	Woodland	Pickens County	GA	34854	United States	-5.00	apartment	2443.75
-AAAAAAAADJJMAAAA	Dr.	Joseph	Burns	339	12th 	Blvd	Suite S	Hamilton	Banks County	GA	32808	United States	-5.00	condo	2670.84
-AAAAAAAADJODAAAA	Dr.	Larry	Phillips	612	Mill Church	Blvd	Suite 0	Sunnyside	Fannin County	GA	31952	United States	-5.00	single family	7260.82
-AAAAAAAADKKGAAAA	Sir	Robert	Patrick	638	Fourth 	Cir.	Suite 250	Lebanon	Clay County	GA	32898	United States	-5.00	condo	9049.72
-AAAAAAAADMDHAAAA	Mr.	Samuel	Wells	877	Highland East	Road	Suite I	Valley View	Bartow County	GA	35124	United States	-5.00	single family	4490.95
-AAAAAAAADNIBBAAA	Miss	Sharon	Prince	955	Walnut Ridge	Boulevard	Suite W	Cedar Grove	Troup County	GA	30411	United States	-5.00	condo	2158.11
-AAAAAAAADNOGBAAA	Dr.	David	Lofton	327	11th Central	Parkway	Suite D	White Oak	Glynn County	GA	36668	United States	-5.00	single family	1971.52
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-AAAAAAAADOFNAAAA	Mrs.	Sebrina	Jacobs	611	Center 	Avenue	Suite 210	Glenwood	Ware County	GA	33511	United States	-5.00	condo	5738.75
-AAAAAAAAEAFJAAAA	Mr.	Gregory	Quigley	932	Maple 	Avenue	Suite 300	Glendale	Butts County	GA	33951	United States	-5.00	single family	2621.58
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-AAAAAAAAEJJDAAAA	Ms.	Katherine	Hernandez	741	Park Jefferson	ST	Suite 270	Oak Ridge	McIntosh County	GA	38371	United States	-5.00	single family	6714.64
-AAAAAAAAEKGABAAA	Sir	Steven	Thurman	638	Park Green	Ct.	Suite 270	Lakeside	Wayne County	GA	39532	United States	-5.00	single family	1662.14
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q82.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q82.out
deleted file mode 100644
index 3d3bca59c5..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q82.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q82 --
-AAAAAAAAECMCAAAA	Rather vast companies pose quiet, actual carers. Close times take only simple possibilities. Current events might say only on a foundation	67.28
-AAAAAAAALIHCAAAA	Things select increased views. Tools imagine for example; ever likely developments live so scottish benefits. Soft, short-term services should give indeed good illu	86.90
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q83.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q83.out
deleted file mode 100644
index c87c21b970..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q83.out
+++ /dev/null
@@ -1,24 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q83 --
-AAAAAAAAANECAAAA	34	18.579234972677593	9	4.918032786885246	18	9.836065573770492	20.333333333
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-AAAAAAAAMDODAAAA	17	10.897435897435898	32	20.512820512820515	3	1.9230769230769231	17.333333333
-AAAAAAAAMOIAAAAA	84	25.454545454545457	12	3.6363636363636362	14	4.242424242424242	36.666666667
-AAAAAAAANMAAAAAA	12	25.0	1	2.083333333333333	3	6.25	5.333333333
-AAAAAAAAODOAAAAA	5	4.385964912280701	3	2.631578947368421	30	26.31578947368421	12.666666667
-AAAAAAAAPJOCAAAA	29	15.343915343915343	21	11.11111111111111	13	6.878306878306878	21.000000000
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q84.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q84.out
deleted file mode 100644
index a907da1910..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q84.out
+++ /dev/null
@@ -1,28 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q84 --
-AAAAAAAAAIPGAAAA	Carter, Rodney
-AAAAAAAAAKMBBAAA	Mcarthur, Emma
-AAAAAAAACBNHBAAA	Wells, Ron
-AAAAAAAADBMEAAAA	Vera, Tina
-AAAAAAAADBMEAAAA	Vera, Tina
-AAAAAAAADHKGBAAA	Scott, Pamela
-AAAAAAAAEIIBBAAA	Atkins, Susan
-AAAAAAAAFKAHAAAA	Batiste, Ernest
-AAAAAAAAGHMAAAAA	Mitchell, Gregory
-AAAAAAAAIAODBAAA	Murray, Karen
-AAAAAAAAIEOKAAAA	Solomon, Clyde
-AAAAAAAAIIBOAAAA	Owens, David
-AAAAAAAAIPDCAAAA	Wallace, Eric
-AAAAAAAAIPIMAAAA	Hayward, Benjamin
-AAAAAAAAJCIKAAAA	Ramos, Donald
-AAAAAAAAKFJEAAAA	Roberts, Yvonne
-AAAAAAAAKPGBBAAA	Moore, 
-AAAAAAAALCLABAAA	Whitaker, Lettie
-AAAAAAAAMGMEAAAA	Sharp, Michael
-AAAAAAAAMIGBBAAA	Montgomery, Jesenia
-AAAAAAAAMPDKAAAA	Lopez, Isabel
-AAAAAAAANEOMAAAA	Powell, Linda
-AAAAAAAANKPCAAAA	Shaffer, Sergio
-AAAAAAAANOCKAAAA	Vargas, James
-AAAAAAAAOGJEBAAA	Owens, Denice
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q85.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q85.out
deleted file mode 100644
index 981d826ed5..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q85.out
+++ /dev/null
@@ -1,9 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q85 --
-Gift exchange	76.0	464.3600	8.6200
-Not the product that	70.0	876.6700	46.6700
-Parts missing	7.0	129.4200	38.6500
-reason 23	47.0	734.6100	6.1700
-reason 25	5.0	48.9400	53.1450
-reason 28	8.0	306.2000	37.0600
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q86.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q86.out
deleted file mode 100644
index 1c0881d892..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q86.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q86 --
-325552630.64	\N	\N	2	1
-33602545.41	Shoes	\N	1	1
-33399717.80	Music	\N	1	2
-33061835.62	Women	\N	1	3
-32942681.04	Books	\N	1	4
-32233369.67	Men	\N	1	5
-32135907.22	Electronics	\N	1	6
-32027085.12	Jewelry	\N	1	7
-31908139.65	Sports	\N	1	8
-31877378.15	Children	\N	1	9
-31428816.29	Home	\N	1	10
-935154.67	\N	\N	1	11
-476839.60	\N		0	1
-88724.30	\N	womens	0	2
-43184.49	\N	glassware	0	3
-40345.26	\N	flatware	0	4
-36841.11	\N	baseball	0	5
-34642.53	\N	swimwear	0	6
-33866.09	\N	scanners	0	7
-32159.86	\N	archery	0	8
-30361.13	\N	outdoor	0	9
-29969.36	\N	dresses	0	10
-25780.80	\N	pants	0	11
-25714.74	\N	sports-apparel	0	12
-21122.88	\N	tennis	0	13
-15602.52	\N	semi-precious	0	14
-2981755.34	Books	history	0	1
-2533681.90	Books	romance	0	2
-2513406.90	Books	computers	0	3
-2359621.74	Books	fiction	0	4
-2220829.36	Books	home repair	0	5
-2132619.93	Books	reference	0	6
-2023862.05	Books	travel	0	7
-1938302.12	Books	parenting	0	8
-1916049.65	Books	science	0	9
-1904474.64	Books	business	0	10
-1903280.30	Books	sports	0	11
-1819360.79	Books	self-help	0	12
-1817324.19	Books	mystery	0	13
-1698653.10	Books	entertainments	0	14
-1641874.01	Books	cooking	0	15
-1453516.79	Books	arts	0	16
-84068.23	Books		0	17
-8603692.12	Children	infants	0	1
-7982811.62	Children	toddlers	0	2
-7716135.48	Children	school-uniforms	0	3
-7529560.01	Children	newborn	0	4
-45178.92	Children		0	5
-2625503.90	Electronics	dvd/vcr players	0	1
-2351244.66	Electronics	televisions	0	2
-2283231.32	Electronics	memory	0	3
-2262599.89	Electronics	stereo	0	4
-2257811.83	Electronics	karoke	0	5
-2235218.27	Electronics	monitors	0	6
-2228844.29	Electronics	scanners	0	7
-1948029.88	Electronics	wireless	0	8
-1894729.95	Electronics	disk drives	0	9
-1838653.07	Electronics	automotive	0	10
-1793728.96	Electronics	portable	0	11
-1768939.49	Electronics	cameras	0	12
-1733994.95	Electronics	musical	0	13
-1730490.24	Electronics	personal	0	14
-1670511.23	Electronics	camcorders	0	15
-1512375.29	Electronics	audio	0	16
-2408305.34	Home	paint	0	1
-2349779.93	Home	curtains/drapes	0	2
-2306676.63	Home	bedding	0	3
-2284168.74	Home	flatware	0	4
-2269734.86	Home	glassware	0	5
-2112112.73	Home	lighting	0	6
-2085612.39	Home	bathroom	0	7
-1924834.23	Home	mattresses	0	8
-1868688.89	Home	tables	0	9
-1820604.22	Home	furniture	0	10
-1816997.04	Home	decor	0	11
-1805905.27	Home	kids	0	12
-1788142.30	Home	blinds/shades	0	13
-1570699.11	Home	accent	0	14
-1503088.13	Home	rugs	0	15
-1457642.85	Home	wallpaper	0	16
-55823.63	Home		0	17
-2754963.88	Jewelry	jewelry boxes	0	1
-2346470.04	Jewelry	pendants	0	2
-2308524.13	Jewelry	rings	0	3
-2216602.19	Jewelry	custom	0	4
-2141484.71	Jewelry	gold	0	5
-2105589.88	Jewelry	estate	0	6
-2105536.74	Jewelry	womens watch	0	7
-2057556.93	Jewelry	mens watch	0	8
-1964085.08	Jewelry	costume	0	9
-1838748.38	Jewelry	birdal	0	10
-1820456.21	Jewelry	earings	0	11
-1811297.48	Jewelry	loose stones	0	12
-1738088.37	Jewelry	diamonds	0	13
-1636759.38	Jewelry	semi-precious	0	14
-1625306.26	Jewelry	bracelets	0	15
-1457032.40	Jewelry	consignment	0	16
-98583.06	Jewelry		0	17
-8968117.21	Men	shirts	0	1
-8079270.31	Men	sports-apparel	0	2
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q87.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q87.out
deleted file mode 100644
index c2a87b6fff..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q87.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q87 --
-47298
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q88.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q88.out
deleted file mode 100644
index a4c58ea0f9..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q88.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q88 --
-2334	4726	4564	7538	7115	3960	4129	4533
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q89.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q89.out
deleted file mode 100644
index 3d572f5e63..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q89.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q89 --
-Men	shirts	importoimporto #1	ese	Unknown	3	2070.65	5492.8175
-Men	shirts	importoimporto #1	ought	Unknown	6	2152.15	5045.7583
-Men	shirts	importoimporto #1	able	Unknown	2	2333.43	5194.8183
-Men	shirts	importoimporto #1	ese	Unknown	6	2691.33	5492.8175
-Men	shirts	importoimporto #1	ought	Unknown	2	2253.70	5045.7583
-Women	dresses	amalgamalg #1	able	Unknown	6	1761.81	4507.2400
-Men	shirts	importoimporto #1	ation	Unknown	3	2672.68	5410.9166
-Men	shirts	importoimporto #1	ation	Unknown	5	2677.81	5410.9166
-Men	shirts	importoimporto #1	eing	Unknown	5	2356.88	5074.0766
-Men	shirts	importoimporto #1	ese	Unknown	4	2784.11	5492.8175
-Women	dresses	amalgamalg #1	ought	Unknown	7	1926.67	4619.7075
-Women	dresses	amalgamalg #1	ought	Unknown	1	2065.94	4619.7075
-Men	shirts	importoimporto #1	ation	Unknown	6	2881.34	5410.9166
-Men	shirts	importoimporto #1	able	Unknown	3	2674.91	5194.8183
-Women	dresses	amalgamalg #1	ation	Unknown	2	2192.31	4690.8900
-Men	shirts	importoimporto #1	bar	Unknown	5	2475.90	4973.5091
-Women	dresses	amalgamalg #1	ese	Unknown	2	2146.52	4642.9908
-Men	shirts	importoimporto #1	eing	Unknown	2	2588.02	5074.0766
-Women	dresses	amalgamalg #1	bar	Unknown	7	2428.75	4914.1183
-Women	dresses	amalgamalg #1	bar	Unknown	3	2451.51	4914.1183
-Men	shirts	importoimporto #1	ation	Unknown	7	2951.67	5410.9166
-Men	shirts	importoimporto #1	able	Unknown	1	2765.75	5194.8183
-Women	dresses	amalgamalg #1	able	Unknown	2	2082.54	4507.2400
-Men	shirts	importoimporto #1	ation	Unknown	4	2988.08	5410.9166
-Men	shirts	importoimporto #1	ought	Unknown	7	2667.92	5045.7583
-Women	dresses	amalgamalg #1	bar	Unknown	4	2549.27	4914.1183
-Women	dresses	amalgamalg #1	ese	Unknown	7	2307.00	4642.9908
-Women	dresses	amalgamalg #1	eing	Unknown	4	2204.15	4528.8225
-Men	shirts	importoimporto #1	able	Unknown	7	2880.34	5194.8183
-Men	shirts	importoimporto #1	ese	Unknown	5	3210.74	5492.8175
-Women	dresses	amalgamalg #1	ation	Unknown	4	2418.39	4690.8900
-Men	shirts	importoimporto #1	eing	Unknown	4	2833.40	5074.0766
-Women	dresses	amalgamalg #1	bar	Unknown	2	2692.79	4914.1183
-Men	shirts	importoimporto #1	eing	Unknown	6	2854.62	5074.0766
-Women	dresses	amalgamalg #1	eing	Unknown	6	2314.71	4528.8225
-Men	shirts	importoimporto #1	ought	Unknown	5	2834.94	5045.7583
-Women	dresses	amalgamalg #1	ation	Unknown	5	2480.25	4690.8900
-Women	dresses	amalgamalg #1	able	Unknown	7	2302.21	4507.2400
-Women	dresses	amalgamalg #1	ation	Unknown	6	2501.15	4690.8900
-Men	shirts	importoimporto #1	ese	Unknown	2	3307.78	5492.8175
-Men	shirts	importoimporto #1	able	Unknown	5	3016.43	5194.8183
-Men	shirts	importoimporto #1	able	Unknown	4	3040.23	5194.8183
-Women	dresses	amalgamalg #1	eing	Unknown	5	2420.31	4528.8225
-Women	dresses	amalgamalg #1	ese	Unknown	5	2535.80	4642.9908
-Women	dresses	amalgamalg #1	ought	Unknown	2	2521.70	4619.7075
-Men	shirts	importoimporto #1	bar	Unknown	3	2877.96	4973.5091
-Women	dresses	amalgamalg #1	ese	Unknown	3	2577.15	4642.9908
-Women	dresses	amalgamalg #1	ation	Unknown	7	2637.27	4690.8900
-Men	shirts	importoimporto #1	ation	Unknown	1	3380.16	5410.9166
-Women	dresses	amalgamalg #1	eing	Unknown	7	2524.32	4528.8225
-Men	shirts	importoimporto #1	bar	Unknown	4	2986.70	4973.5091
-Women	dresses	amalgamalg #1	ought	Unknown	4	2648.80	4619.7075
-Men	shirts	importoimporto #1	bar	Unknown	7	3026.41	4973.5091
-Women	dresses	amalgamalg #1	ation	Unknown	3	2751.11	4690.8900
-Men	shirts	importoimporto #1	bar	Unknown	2	3073.45	4973.5091
-Men	shirts	importoimporto #1	eing	Unknown	3	3179.96	5074.0766
-Women	dresses	amalgamalg #1	ation	Unknown	1	2797.07	4690.8900
-Women	dresses	amalgamalg #1	able	Unknown	1	2621.05	4507.2400
-Women	dresses	amalgamalg #1	ese	Unknown	4	2808.36	4642.9908
-Women	dresses	amalgamalg #2	bar	Unknown	6	680.47	2506.9633
-Men	shirts	importoimporto #1	ation	Unknown	2	3591.65	5410.9166
-Women	dresses	amalgamalg #1	able	Unknown	3	2706.15	4507.2400
-Women	dresses	amalgamalg #2	eing	Unknown	2	773.08	2569.3466
-Men	shirts	importoimporto #1	bar	Unknown	6	3199.08	4973.5091
-Men	shirts	importoimporto #1	ese	Unknown	7	3754.33	5492.8175
-Women	dresses	amalgamalg #1	bar	Unknown	5	3190.77	4914.1183
-Women	dresses	amalgamalg #1	eing	Unknown	2	2841.88	4528.8225
-Men	shirts	importoimporto #1	able	Unknown	6	3538.25	5194.8183
-Women	dresses	amalgamalg #1	ese	Unknown	6	3006.94	4642.9908
-Women	dresses	amalgamalg #1	bar	Unknown	1	3284.93	4914.1183
-Women	dresses	amalgamalg #2	bar	Unknown	5	878.42	2506.9633
-Women	dresses	amalgamalg #1	able	Unknown	5	2891.95	4507.2400
-Men	shirts	importoimporto #1	eing	Unknown	7	3465.77	5074.0766
-Women	dresses	amalgamalg #2	eing	Unknown	3	964.29	2569.3466
-Women	dresses	amalgamalg #1	bar	Unknown	6	3324.49	4914.1183
-Men	shirts	importoimporto #1	ought	Unknown	3	3467.09	5045.7583
-Women	dresses	amalgamalg #1	ought	Unknown	5	3049.25	4619.7075
-Women	dresses	amalgamalg #1	eing	Unknown	3	2978.07	4528.8225
-Men	shirts	importoimporto #1	ought	Unknown	4	3544.97	5045.7583
-Men	shirts	importoimporto #1	bar	Unknown	1	3490.62	4973.5091
-Men	shirts	importoimporto #2	able	Unknown	2	628.63	2095.4708
-Men	shirts	importoimporto #1	eing	Unknown	1	3628.21	5074.0766
-Women	dresses	amalgamalg #1	able	Unknown	4	3082.17	4507.2400
-Men	shirts	importoimporto #2	eing	Unknown	5	765.86	2137.6566
-Women	dresses	amalgamalg #2	ation	Unknown	4	1064.70	2431.2266
-Women	dresses	amalgamalg #2	ought	Unknown	3	991.89	2355.4416
-Women	dresses	amalgamalg #2	eing	Unknown	5	1211.13	2569.3466
-Women	dresses	amalgamalg #2	ation	Unknown	7	1078.41	2431.2266
-Men	shirts	importoimporto #2	ation	Unknown	4	807.67	2141.0600
-Women	dresses	amalgamalg #2	ation	Unknown	2	1102.89	2431.2266
-Women	dresses	amalgamalg #2	eing	Unknown	6	1247.86	2569.3466
-Women	dresses	amalgamalg #2	able	Unknown	4	1020.39	2337.2783
-Men	shirts	importoimporto #2	able	Unknown	7	780.91	2095.4708
-Women	dresses	amalgamalg #2	ese	Unknown	2	904.34	2200.8208
-Women	dresses	amalgamalg #2	ought	Unknown	7	1061.87	2355.4416
-Women	dresses	amalgamalg #2	able	Unknown	3	1054.94	2337.2783
-Men	shirts	importoimporto #2	ought	Unknown	6	633.96	1908.0566
-Men	shirts	importoimporto #2	ese	Unknown	6	853.37	2113.5733
-Women	dresses	amalgamalg #2	able	Unknown	5	1084.94	2337.2783
-Women	dresses	amalgamalg #2	eing	Unknown	4	1317.08	2569.3466
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q90.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q90.out
deleted file mode 100644
index 3d25748a46..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q90.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q90 --
-0.6124401913875598
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q91.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q91.out
deleted file mode 100644
index 486b83955e..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q91.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q91 --
-AAAAAAAACAAAAAAA	Mid Atlantic	Felipe Perkins	109.74
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q92.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q92.out
deleted file mode 100644
index 6dc1184503..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q92.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q92 --
-39529.71
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q93.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q93.out
deleted file mode 100644
index eaea2a5a49..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q93.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q93 --
-213	\N
-287	\N
-458	\N
-1756	\N
-1990	\N
-2181	\N
-2571	\N
-2660	\N
-3640	\N
-4093	\N
-4572	\N
-4694	\N
-4842	\N
-4932	\N
-5667	\N
-6154	\N
-6437	\N
-6811	\N
-6948	\N
-7077	\N
-7476	\N
-7857	\N
-8694	\N
-9050	\N
-9125	\N
-9379	\N
-10225	\N
-11285	\N
-11603	\N
-11907	\N
-12721	\N
-13182	\N
-13405	\N
-14302	\N
-15425	\N
-15690	\N
-15698	\N
-16080	\N
-16348	\N
-16563	\N
-16701	\N
-16917	\N
-17223	\N
-17229	\N
-17282	\N
-17682	\N
-17759	\N
-17897	\N
-17910	\N
-18453	\N
-18747	\N
-19219	\N
-19915	\N
-20161	\N
-20214	\N
-20528	\N
-21523	\N
-21734	\N
-21853	\N
-22206	\N
-23080	\N
-23469	\N
-23557	\N
-23748	\N
-24187	\N
-24652	\N
-25029	\N
-25169	\N
-25757	\N
-25813	\N
-26587	\N
-26842	\N
-26872	\N
-27004	\N
-27540	\N
-27910	\N
-27977	\N
-28290	\N
-28325	\N
-28676	\N
-30145	\N
-31163	\N
-32195	\N
-32306	\N
-32967	\N
-33062	\N
-34398	\N
-34857	\N
-35264	\N
-35733	\N
-35859	\N
-36260	\N
-36474	\N
-36488	\N
-37231	\N
-37519	\N
-37720	\N
-37770	\N
-37909	\N
-37936	\N
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q94.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q94.out
deleted file mode 100644
index bf80d5b460..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q94.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q94 --
-33	64554.35	-3979.35
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q95.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q95.out
deleted file mode 100644
index 98bbac9547..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q95.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q95 --
-73	120440.34	42133.12
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q96.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q96.out
deleted file mode 100644
index d06e979dae..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q96.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q96 --
-870
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q97.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q97.out
deleted file mode 100644
index 8f9450647f..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q97.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q97 --
-540401	286628	174
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q98.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q98.out
deleted file mode 100644
index e1893f92bd..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q98.out
+++ /dev/null
@@ -1,2519 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q98 --
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-AAAAAAAANNIAAAAA	Dear patients give again able directors. Modest terms think. For example assistant	Books	computers	1.89	3096.66	0.94
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-AAAAAAAAOBIDAAAA	Great, mixed bits utilise however quickly comprehensive sales. Near ne	Books	computers	1.23	11402.48	3.48
-AAAAAAAAOBNDAAAA	Levels undermine unfortunately efficient weeks	Books	computers	2.19	5478.32	1.67
-AAAAAAAAOGFAAAAA	Real kids give rather lips. Pure, hungry sides might not resolve both impressive attacks; over large friends refuse. Guilty, sp	Books	computers	99.41	6486.48	1.98
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-AAAAAAAAOMPCAAAA	Now complex carers must use here therefore personal arms. Ideas could gather weapons. Dif	Books	computers	3.56	7129.63	2.17
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-AAAAAAAAPHADAAAA	Desirable, important methods make thus observations. Most different tasks may live always traditional, concerned beings. Bad sales would lose. Long, linguistic pairs could not make. Chem	Books	computers	8.20	2715.24	0.82
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-AAAAAAAAPKOBAAAA	Yet whole dealers p	Books	computers	3.63	2790.97	0.85
-AAAAAAAAPLIDAAAA	Items look somewhat new designs. Patients should solve about a officers. Minutes can act still companies. About dangerous records will not run towa	Books	computers	1.43	5985.52	1.82
-AAAAAAAAABPAAAAA	Particularly professional women may not tell never present, distant times. Current, only weeks could hurry quite appropriate months. Little attacks waste carefully never politi	Books	cooking	1.82	670.95	0.25
-AAAAAAAAADIDAAAA	Literary movies will include actually at a models. Else other areas would develop then on a consequences; responsibilities must exercise most average, fin	Books	cooking	3.29	2472.84	0.92
-AAAAAAAAAHKCAAAA	Somewhere hot arms touch however before a members. New developers ought to deal polish cells. Days achieve into an interests. Bodie	Books	cooking	5.86	6965.58	2.61
-AAAAAAAAAHPAAAAA	Surveys shall not ne	Books	cooking	4.61	8126.46	3.04
-AAAAAAAAAHPDAAAA	Efforts used to perpetuate about various researchers; political days must fight rather than the days. Standards used to rush towards a ends. Slow, short signals used to show seemingly. Figures wo	Books	cooking	91.23	3094.41	1.15
-AAAAAAAAAJNDAAAA	Physical, political decis	Books	cooking	6.76	1630.37	0.61
-AAAAAAAAAMACAAAA	Best national participants forget. Usually clear efforts can operate on	Books	cooking	2.20	10381.99	3.89
-AAAAAAAAAOLAAAAA	Near educational cases shall become big hotels. Periods should not	Books	cooking	5.92	1932.24	0.72
-AAAAAAAABINAAAAA	Below invisi	Books	cooking	9.59	6854.08	2.56
-AAAAAAAABONAAAAA	Gains cannot cross colourful, long individuals. Drily red difficulties may not say to a plans. Very different cases ta	Books	cooking	1.60	2682.59	1.00
-AAAAAAAACBDCAAAA	Well independent scores fight rare changes. Scottish rights would not give; implicit, modern services like yet. Conservative, effective yards should marry about a buildings. Valid, m	Books	cooking	0.50	8850.95	3.31
-AAAAAAAACDKBAAAA	Unique, commercial discussions mark then social, top states; organizations will not hit never still traditional programmes. Social, afraid papers ought to meet english egg	Books	cooking	2.98	3583.18	1.34
-AAAAAAAADEIBAAAA	Then attractive practices establish also at a issues; more independent records can inject even weak confidential bands. General parts will come culturally national standards.	Books	cooking	8.90	1781.95	0.66
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-AAAAAAAAEHIDAAAA	Potential years would lay in order strong jobs. Times cannot allow specif	Books	cooking	3.65	6197.62	2.32
-AAAAAAAAEPJDAAAA	Over demanding subjects may not look of course after a pos	Books	cooking	6.49	15543.46	5.82
-AAAAAAAAGADEAAAA	Girls may use chri	Books	cooking	4.37	736.80	0.27
-AAAAAAAAGALAAAAA	Great, only pages might not contribute so; small components require on a films. Times find apparently. So traditional sources find conditions. Gro	Books	cooking	3.40	11257.89	4.21
-AAAAAAAAGBGBAAAA	Somehow revolutionary sh	Books	cooking	7.10	5940.50	2.22
-AAAAAAAAGEDDAAAA	Available workshops might direct directly. Conditions must satisfy also upper reactions. Sufficient words must see young considerations. Terrible, only expres	Books	cooking	8.24	3600.68	1.34
-AAAAAAAAGMMCAAAA	Chief countries leave actually rural, other fathers. Women discover very otherwise large ministers. Slow, envi	Books	cooking	7.35	2158.00	0.80
-AAAAAAAAGOCAAAAA	Historical, economic lights shall stand much big, odd proposals. Rather grateful branches ought to take. Northern, high miles must ask increasingly. Once chronic	Books	cooking	4.37	5136.88	1.92
-AAAAAAAAGPPBAAAA	Able, widespread elections could not apply to the powers. Minimal, pleasant fruits used to feed still flexible, new institutions; relationships	Books	cooking	6.47	8428.60	3.15
-AAAAAAAAHDIBAAAA	Books give simply again technical terms. Fun deaths must not take below carefully true sons. Expensive arts could receive just about leaves. Central, payable reform	Books	cooking	0.86	1271.14	0.47
-AAAAAAAAHFDEAAAA	Substantial, afraid effects must close. Areas could make only	Books	cooking	6.37	21494.23	8.05
-AAAAAAAAHKLAAAAA	Purel	Books	cooking	4.62	4512.72	1.69
-AAAAAAAAIHGCAAAA	About competitive members could not screen; however free performances could not give here in the studies; soft laws deal plans. Bodies complete all right fem	Books	cooking	1.18	9980.61	3.74
-AAAAAAAAIOCCAAAA	Technological characters want a	Books	cooking	4.64	4752.36	1.78
-AAAAAAAAIOICAAAA	Contributions move obviously now recent losses. Develo	Books	cooking	3.67	6311.34	2.36
-AAAAAAAAJBFBAAAA	Too productive points would leave material ministers. Public, objective elections loosen no longer children; political, central movements speak 	Books	cooking	9.42	1847.54	0.69
-AAAAAAAAJFKBAAAA	Meanwhile wet products ascerta	Books	cooking	5.40	5658.87	2.12
-AAAAAAAAJHGAAAAA	Recent tools should spee	Books	cooking	20.16	6532.08	2.44
-AAAAAAAAKCCAAAAA	Possible schools carry primarily dual rises; important meetings could continue other passengers. More scottish things might not fall orders. Right, unable expectati	Books	cooking	4.44	2945.69	1.10
-AAAAAAAAKEJAAAAA	Other, atlantic regions know fast. Li	Books	cooking	68.84	11613.62	4.35
-AAAAAAAAKFMCAAAA	Endless, vocational contracts would not stabilise churches. French, good cities light somehow on a offices. Now serious things raise for a walls; certain, c	Books	cooking	0.23	3226.22	1.20
-AAAAAAAAKJGDAAAA	International eyes might see sales. Joint universities must not hold somewhat with a days. Perfect, profitable trials ought to seem; even pale quantities 	Books	cooking	0.94	1936.79	0.72
-AAAAAAAAKNIBAAAA	Subjects will read too. Reduced, identical patients like through a animals. At least unable c	Books	cooking	0.12	1530.24	0.57
-AAAAAAAALBKAAAAA	Conditions used to test so for a spirits; open, royal provisions might not look approximate	Books	cooking	36.97	4187.77	1.56
-AAAAAAAALIGAAAAA	There superb accidents may strike individual results. Quiet, only forests drop as little unlikely towns. Observations can discern with a points. Substantial banks dest	Books	cooking	0.88	8104.81	3.03
-AAAAAAAAMBCCAAAA	Schools ought to consider married sources. Then opening modules matter generally this apparent deals; times shall read units. Steps may stop. About modern others alter 	Books	cooking	8.40	11030.92	4.13
-AAAAAAAAMHIBAAAA	Labour, happy rates stop details. Purposes say small, dead times; tickets will act hopefully yesterday considerable products. Competitive others stay with an purposes. Always personal guns might ri	Books	cooking	2.78	12683.38	4.75
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-AAAAAAAAOBBBAAAA	Main meetings can burst certain, parliamentary heroes. Much happy journals learn	Books	cooking	2.61	1585.09	0.59
-AAAAAAAAOCFBAAAA	Amounts feel as parents. Loud old assumptions can end no longer friendly p	Books	cooking	3.64	1417.21	0.53
-AAAAAAAAODNBAAAA	Regulations will tell eventually extra pounds	Books	cooking	0.62	2637.22	0.98
-AAAAAAAAOIOBAAAA	There pale members try a little cheap feet. Golden, o	Books	cooking	65.21	5762.14	2.15
-AAAAAAAAONGCAAAA	Outcomes will become high wide, substantial clients. Sufficient, new resources weaken only over the moments. Of cour	Books	cooking	1.32	1121.34	0.42
-AAAAAAAAPDGEAAAA	African lives must n	Books	cooking	0.88	13101.34	4.91
-AAAAAAAAPNFEAAAA	Wooden, civil fingers keep great, possible scales. Police begin ago in common responsible times. Further open fathers can believe aga	Books	cooking	0.33	282.92	0.10
-AAAAAAAAADBDAAAA	Upper men used to give still different girls. Proposals subsidise famous nerves. C	Books	entertainments	2.21	3266.76	1.63
-AAAAAAAAAIKCAAAA	Troubles must know wise indicators. Kinds enter technical, new doubts. Likely, annual eyes see equivalent payments. Both inadequate feelings decide ever initial 	Books	entertainments	5.04	2592.74	1.29
-AAAAAAAABGCEAAAA	Absolute proteins will happen huge, important unions. Varieties might not climb old, dead memories. Social, efficient governments form especially. Deputies may encourage for ever years. 	Books	entertainments	0.79	3539.20	1.77
-AAAAAAAABGMDAAAA		Books	entertainments	\N	10168.52	5.09
-AAAAAAAABGOBAAAA	Japanese, long students may help very; there partial bombs must assess; intentions cannot execute most certain children; indeed necessary a	Books	entertainments	5.36	1803.90	0.90
-AAAAAAAACGMDAAAA	Aware sentences used to find very by the months; difficulties bring finally. Years turn maybe shots. Apparent, bad lives try more. Physical, voluntary activ	Books	entertainments	6.55	1235.50	0.61
-AAAAAAAACIDAAAAA	Millions might answer. Attractive rules might beat coloured volunteers. Scottis	Books	entertainments	3.51	11940.70	5.97
-AAAAAAAACLAEAAAA	As direct shoes cannot guarantee there regular given specialists. Teachers say even eyes. True re	Books	entertainments	1.33	8646.39	4.32
-AAAAAAAACNOAAAAA	Terms will happen today after a arguments. Most physical flowers doubt just. Other authorities would like still	Books	entertainments	4.15	2195.94	1.09
-AAAAAAAACOFBAAAA	British, corporate years used to land all poor sequences. Lights ought to get wide real, everyday performances. Ears know essentially. C	Books	entertainments	5.45	9164.29	4.58
-AAAAAAAADCOAAAAA	Silly acres shall belong alike following, similar pairs. Respectively lucky newspapers shall dare. Also labour requirements can leave; pounds used to stay even only solicitors. Silver systems may de	Books	entertainments	75.74	9674.08	4.84
-AAAAAAAADFBBAAAA	Social, popular leaves could not ca	Books	entertainments	2.61	8216.66	4.11
-AAAAAAAADGKAAAAA	However small values 	Books	entertainments	1.49	10944.45	5.48
-AAAAAAAADHJDAAAA	Public hands might not	Books	entertainments	2.74	7787.48	3.89
-AAAAAAAAEAPDAAAA	Implications imagine alive groups. Applications ought to meet steadily royal ideas. Able, efficient shoes shou	Books	entertainments	7.80	1342.26	0.67
-AAAAAAAAECMCAAAA	Rather vast companies pose quiet, actual carers. Close times take only simple possibilities. Current events might say only on a foundation	Books	entertainments	67.28	1401.63	0.70
-AAAAAAAAEHHBAAAA	Prepared, necessary others will let above for a stocks. Clearly new studies know. Final, social doubts worry certainly conclusions. Essential, severe attitudes respond sufficiently 	Books	entertainments	8.82	9367.84	4.69
-AAAAAAAAFOCBAAAA	However new	Books	entertainments	2.06	1060.15	0.53
-AAAAAAAAGABBAAAA	Lives may convey fair, popular industries; sure main records will take please with a restrictions. Illegally tough rights might not return never at the waters. Sensitive standards could take completel	Books	entertainments	2.68	2822.83	1.41
-AAAAAAAAGEECAAAA	Other, human years used to give simply. Words may carry for the pictures; general month	Books	entertainments	4.85	12733.45	6.37
-AAAAAAAAGHKDAAAA	Organisations shall guide tory organizations. Social, modest systems gro	Books	entertainments	7.74	434.88	0.21
-AAAAAAAAGNKAAAAA	Resources comply cheap, ready places. Different, other lights will pay well. Days assume more large courts. Recordings could not design also at the members. Yards can let still political others	Books	entertainments	73.05	3326.52	1.66
-AAAAAAAAGOLDAAAA	Generally ideal lips must reach beautiful, top patterns. Disabled methods find commercial things. Less happy co	Books	entertainments	6.19	6104.76	3.05
-AAAAAAAAHDGDAAAA	Laws go shortly british, clear carers. Inner, available aspirations ought to abolish most armed strings. Activities gain then less high banks; never future reactions include so in a powers. Popular, 	Books	entertainments	9.69	2287.64	1.14
-AAAAAAAAIDODAAAA	Positive, deep pounds might trust just national, financial sheets; answers will take nice, early degrees. Very other votes ought to meet soon international various towns. Changes understand. Delib	Books	entertainments	7.72	1520.07	0.76
-AAAAAAAAIFABAAAA	Men shall tolerate easily too keen children. Relevant, full-time leaves cannot say presumably from the gods. Large, careful subjects sit pro	Books	entertainments	7.63	7686.65	3.84
-AAAAAAAAJCGCAAAA	Annual, remote details would know only to a eyes. Laws construct teachers. Little armed prices used to charge economic, associated masters. Home available firms may tell however 	Books	entertainments	3.30	3145.04	1.57
-AAAAAAAAJFEBAAAA	Too necessary dreams should not co	Books	entertainments	3.75	4680.81	2.34
-AAAAAAAAJKGAAAAA	Lights allow. Things go white, available 	Books	entertainments	4.92	2308.80	1.15
-AAAAAAAAJNFEAAAA	Men lift fit letters. Recent shares can give main, new substances. Chains help at the rights. Straightforward things show just european, useful shelves. Healthy combinati	Books	entertainments	0.77	3988.56	1.99
-AAAAAAAAKDEAAAAA	Yet national bodies could answer on behalf of a hours. Features use later workers. Fortunes placa	Books	entertainments	6.46	4101.09	2.05
-AAAAAAAAKELBAAAA	However fair pressures realise twice walls. Days bring both. Dreadful syste	Books	entertainments	17.28	4678.96	2.34
-AAAAAAAAKJNAAAAA	Pp. should build white circumstances. Institutions cannot rest hardly. Minimum, personal goals will experi	Books	entertainments	2.86	1873.92	0.93
-AAAAAAAAKLEEAAAA	Guilty, mathematical contents used to join as. Ashamed, traditional months go as within a principles. Forward free cases could seek very colleagu	Books	entertainments	9.61	640.02	0.32
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-AAAAAAAALGMCAAAA	Flowers cultivate still so-called, available	Books	entertainments	3.84	511.75	0.25
-AAAAAAAAMAACAAAA	Specialists could not depend within the needs. Indian, specified mechanisms should perform together young towns. Seats understand always with a strings. New aspects secure. Report	Books	entertainments	6.36	3096.87	1.55
-AAAAAAAAMAHDAAAA	Jol	Books	entertainments	14.38	5937.80	2.97
-AAAAAAAAMFMAAAAA	Legal tasks could keep somewhat black experiences. Groups would expect characters. Also steep concerns might cost for a volunteers. W	Books	entertainments	2.70	54.16	0.02
-AAAAAAAAMMDBAAAA	Methods secure commentators. Once full-time co	Books	entertainments	5.73	2061.90	1.03
-AAAAAAAANJFEAAAA	Very, new trends should not des	Books	entertainments	3.14	4743.41	2.37
-AAAAAAAAOAJCAAAA	Heavy plans ought to sound too just young users; further traditional eyes welcome neither too el	Books	entertainments	3.45	1068.35	0.53
-AAAAAAAAOOEAAAAA	Companies reveal national reforms; kinds initiate in a languages. Positive miles ought to hesitate thick priorities. Large, cons	Books	entertainments	1.45	5085.84	2.54
-AAAAAAAAPNIBAAAA	Very good prisoners go against a rules. 	Books	entertainments	3.20	9776.11	4.89
-AAAAAAAAABNCAAAA	Services will let meetings. Following cuts used to belong actually thorough, comfortable products. Famous lights find since a lands.	Books	fiction	3.74	8142.46	2.25
-AAAAAAAAAHICAAAA	Particular, concerned odds should see conditions. Limited, existing	Books	fiction	7.71	5250.85	1.45
-AAAAAAAAAJFCAAAA	Real, brown girls used to go across a effects. Legal questions may assess able, false others. Policies put about; capable provisions get at a opportunities; prime, b	Books	fiction	7.98	3032.61	0.84
-AAAAAAAAAKEDAAAA	Original, large kinds suit	Books	fiction	9.86	192.06	0.05
-AAAAAAAAALOAAAAA	Teams would lead now through a eggs. Explanations think good, alone questions; liberal, religious plans alter then. True sports reduce eagerly racial, direct t	Books	fiction	2.73	8823.33	2.44
-AAAAAAAAAMNBAAAA	Local, direct times can go also. American lines mention further calculations. Russian devices advise sources. Political initiatives may learn just new machines. 	Books	fiction	3.42	12602.81	3.49
-AAAAAAAAAPEBAAAA	Words think as the police. Only companies shall speak anyway sure, present pairs. Small days may not beat short-term things. Well constant	Books	fiction	3.13	7820.63	2.16
-AAAAAAAABCPBAAAA	Equal, human roads break hard topics. So political feet should fail away relative publications. Final, industrial areas may leave however by a police. Realistica	Books	fiction	30.09	2166.28	0.60
-AAAAAAAABDPAAAAA	Keen years fight much. Concerned, vital kings get downstairs new, worthy millions. Else full gam	Books	fiction	2.95	834.15	0.23
-AAAAAAAABGAAAAAA	Quite different services promote all the same. Private, marginal colleagues play of course similar, different girls. French, local girls reap here. Bad movies shorten relatively. Terms	Books	fiction	57.09	769.64	0.21
-AAAAAAAABMLBAAAA	Factors could stimulate always. Public, local reactions might bring very. Sufficien	Books	fiction	3.49	2812.85	0.77
-AAAAAAAACEFAAAAA	Important years participate indeed. Hands make so. Great, environmental lives ought to exist so national, free	Books	fiction	4.25	4189.26	1.16
-AAAAAAAACENDAAAA	Key, other cases maintain special men. Words would cause significantly good, interesting arguments; plants would not bel	Books	fiction	6.71	20125.67	5.58
-AAAAAAAACFFBAAAA	Main, ltd. flames continue firmly. European spirits used to endure true with a features. Others tell never moral, normal writers. Li	Books	fiction	0.77	4100.91	1.13
-AAAAAAAACNLDAAAA	Profoundly useless women might go desperate, international remarks. Different, subject lines can arrange. Personal conditions should fin	Books	fiction	9.50	7033.39	1.95
-AAAAAAAADCIDAAAA	National women find major, able shows. Direct visitors must not want indian clothes. Years must run slowly in the costs. Months mak	Books	fiction	8.93	25454.69	7.05
-AAAAAAAADDDEAAAA	Male terms may provide laws; friends add truly rare points. Separate, whole hours may change over. Prime interests could not pretend indeed by a goods. Just past countries get how	Books	fiction	2.27	6298.10	1.74
-AAAAAAAADEAAAAAA	So fair schools must go problems. Children should not paint in a photographs. Great, late senten	Books	fiction	1.47	1344.56	0.37
-AAAAAAAADOKBAAAA	Much inner companies could not look nowadays managerial actual detectives. Great days 	Books	fiction	5.84	6859.72	1.90
-AAAAAAAAECBDAAAA	Forces can testify happy, international levels. Performances pay right bands. Items could discourage even in a months; readers simplify ea	Books	fiction	0.09	4305.74	1.19
-AAAAAAAAEEFEAAAA	Sufficient, only samples indicate still. Streets take clouds. Services know probably royal times. Old, international seconds must not mean clearly now rich managers. Legs est	Books	fiction	6.90	6816.68	1.89
-AAAAAAAAEGGBAAAA	Enough average men keep conditions. Smooth magistrates kill only increasingly labour numbers. Numbers beat for a positions. Villages could make yet except for a thoughts. Little, cold prices think; d	Books	fiction	1.41	2850.60	0.79
-AAAAAAAAEJPDAAAA	Appropriate rates shall eliminate the	Books	fiction	2.51	2774.19	0.76
-AAAAAAAAENBCAAAA	Agencies will pick different authorities. Whole, academic moments will include again perhaps other profits. Months can lay in a effects. Feet must want gentle, central sections. Even visible he	Books	fiction	5.71	9516.94	2.63
-AAAAAAAAFNFCAAAA	Years make recent leaves. Perhaps far kinds respond just. Glorious forces matter. Grounds shall not give just oth	Books	fiction	0.32	1950.84	0.54
-AAAAAAAAFOCEAAAA	Very only cases help. Mere, dangerous figures could not note quickly political wea	Books	fiction	1.92	6142.46	1.70
-AAAAAAAAGEJBAAAA	Endless, small hills cope again as ready forces. Ideal windows would not repeat so interested shoes. Really interesting stars suppress functional, local farmers. Leaves obtai	Books	fiction	9.02	2050.03	0.56
-AAAAAAAAGEPDAAAA	Appointed, awful corners respond frequently. Northern friends may not call loudly vertical patients. Just	Books	fiction	82.50	2609.28	0.72
-AAAAAAAAGJFDAAAA	Aspects appoint eligible, black authorities. Levels may not act far old, immediate stations. Left, critical hea	Books	fiction	8.11	1085.85	0.30
-AAAAAAAAGNOBAAAA	Colleges cannot create quickly great relations; significant methods pour as educational, constant po	Books	fiction	5.95	2341.60	0.64
-AAAAAAAAHDDAAAAA	Remote, japanese things would not need at all	Books	fiction	45.99	3782.68	1.04
-AAAAAAAAHMADAAAA	Willingly left requests declare changes; old lists ought to apply again in a arms. Students eat german, individual ships. Weak goods 	Books	fiction	5.83	10040.62	2.78
-AAAAAAAAHMGDAAAA	Fair, modern services assess to a	Books	fiction	4.50	6316.82	1.75
-AAAAAAAAIMNCAAAA	Applications could make similar observations. Pp. would disappear english units. Mothers start instead in the makers. Empty, public fruits 	Books	fiction	3.09	2197.05	0.60
-AAAAAAAAJEBCAAAA	Fundamental arms could depend. Members shall see other project	Books	fiction	2.43	13675.74	3.79
-AAAAAAAAJJKAAAAA	Elsewher	Books	fiction	2.23	15758.25	4.36
-AAAAAAAAKDOBAAAA	Just dead blocks cou	Books	fiction	1.67	1266.16	0.35
-AAAAAAAAKFBEAAAA	Usually present societies should not hear regularly on a characteristics. Qualifications can 	Books	fiction	2.47	8585.24	2.38
-AAAAAAAAKGNDAAAA	There different aspects stay often middle, special police. Molecular, scientific efforts define long without the years. Appropriate companies abide doubtless 	Books	fiction	6.99	14589.55	4.04
-AAAAAAAAKNFBAAAA	Publi	Books	fiction	1.56	5440.65	1.50
-AAAAAAAAKPNCAAAA	New, sure systems will not make respectiv	Books	fiction	0.84	4675.77	1.29
-AAAAAAAALIAAAAAA	Clothes can get also; home financial premises should not give proudly. Disabled, urgent tears would not run. Previous, electric schools shall qualify usefully real heads. Very, 	Books	fiction	2.99	1837.12	0.50
-AAAAAAAAMCHCAAAA	English germans anger systematically for the plans. Lights attract only leading sides. Points conceal. Widely other levels require political t	Books	fiction	4.86	1147.45	0.31
-AAAAAAAAMDGBAAAA	Accounts used to matter crucially. More than useful ha	Books	fiction	8.72	388.44	0.10
-AAAAAAAAMGBBAAAA	Inner, encouraging features should sue here to a terms. Patients will seem all slight members. Complex banks take apparently games. Able, irish patients used	Books	fiction	7.27	1376.10	0.38
-AAAAAAAAMLAAAAAA	Central, principal men a	Books	fiction	0.47	2017.32	0.55
-AAAAAAAANAMDAAAA	Average services could try unfortunately plants; extensive procedures must	Books	fiction	4.94	5734.05	1.58
-AAAAAAAANDDAAAAA	Plants should manage slowly on a managers. Trials could stop never also obvious awards; true, attractive controls determine psychiatric, bad relations. Keys follow. Positions coul	Books	fiction	2.73	4345.24	1.20
-AAAAAAAANEOAAAAA	Working dangers must follow british, wealthy governments. Possible magistrates ought to mean old, major facilities. Contents int	Books	fiction	3.42	12060.94	3.34
-AAAAAAAANJGDAAAA	Concerned, working children feel politically real texts. Scientists take probably better concerned forms; here negative things comply recently french reactions. Briti	Books	fiction	9.47	19440.81	5.39
-AAAAAAAANMFEAAAA	Low meals c	Books	fiction	6.53	3925.96	1.08
-AAAAAAAANNEEAAAA	Quite linguistic cells ask already permanent, valuable players. Colours place hastily happy, short bacteria; int	Books	fiction	1.59	7110.63	1.97
-AAAAAAAANOKAAAAA	So ethnic championships think totally soft, appropriate customers. Perfect, military enterprises used to reach away essential authorities. Stages	Books	fiction	5.77	4086.66	1.13
-AAAAAAAAOCGAAAAA	Well different problems must not disrupt	Books	fiction	8.69	1985.29	0.55
-AAAAAAAAOFECAAAA	Later high interests 	Books	fiction	5.61	9818.74	2.72
-AAAAAAAAOGEEAAAA	Free processes can wake now still important institutions. Traditional, open plans serve better live years. Women should not pack by the experts. Competitors can miss hence op	Books	fiction	7.63	6537.27	1.81
-AAAAAAAAOHHAAAAA	Private children used to stop really national, mate	Books	fiction	2.82	1432.82	0.39
-AAAAAAAAOJCEAAAA	Approaches used to worsen forwards yellow, effective days. Personal, musical dreams appreciate in a claims; future, natural doors make thus. Empirical,	Books	fiction	3.81	4949.10	1.37
-AAAAAAAAPCEBAAAA	Th	Books	fiction	0.34	\N	\N
-AAAAAAAAPGDEAAAA	Appointed others must trace yesterday with the members. Disabled animals talk also isolated, entire soldiers. Signs join at all lega	Books	fiction	0.97	7324.52	2.03
-AAAAAAAAPMBAAAAA	Exactly financial games may find effective, delight	Books	fiction	8.79	8029.03	2.22
-AAAAAAAAPOACAAAA	Major deaths swing later books; particularly expected problems give. High, high tools must see big areas. Major, informal passengers devise; windows cannot think further nice doors. Small	Books	fiction	4.56	465.50	0.12
-AAAAAAAAAFIBAAAA	Different, fresh structures used to mean big schools; small, opposite findings drag 	Books	history	6.99	7291.12	1.92
-AAAAAAAAAJFAAAAA	Normal cases call into a rates. Easy royal police cannot assert long records. Young, scottish exceptions kill more ce	Books	history	2.50	2666.31	0.70
-AAAAAAAAAMEAAAAA	Very, true women eat. Left institutions may agree towards the kids; national, other terms open there then different prices; others settle however. Apparently normal 	Books	history	9.64	12533.18	3.31
-AAAAAAAAAMJBAAAA	Flowers will look respectable negotiations. Standards see and so on social men. Points could play in the steps	Books	history	8.23	3648.46	0.96
-AAAAAAAAAOFBAAAA	Also independent documents can answer approximately. Negotiations drop never. Similar, likely panels take parents. Ordinary, financial requirements could not match short, international p	Books	history	3.95	1478.52	0.39
-AAAAAAAABADDAAAA	Protective, different police wish. So free standards could develop as for a respondents. Surprising, famous goods cannot fire only othe	Books	history	1.74	935.90	0.24
-AAAAAAAABHCDAAAA	Also academic schemes might not think in a ingredients. Running, red papers come. Then prop	Books	history	9.69	3556.29	0.93
-AAAAAAAABHJCAAAA	More weak months believe today unnecessary sources. Years tread difficult emissions. Intermediate, personal farms could sail as without a causes. New offices illust	Books	history	1.75	7880.37	2.08
-AAAAAAAABMJDAAAA	Lines shall talk usually blue, vague cards. Popular years increa	Books	history	59.09	836.67	0.22
-AAAAAAAABODEAAAA	Cruel presents shall not stay brothers. Indian, minor wages carry always significantly sorry employees. Right new looks wil	Books	history	3.76	4975.56	1.31
-AAAAAAAABPFEAAAA	Serious, big changes might find populations; leaders make helplessly on a policies; great, likely departments try somehow changes; very right bags pretend new, central villages. No longer 	Books	history	2.64	42.27	0.01
-AAAAAAAACBLCAAAA	Right difficulties feed too directly medieval years. Vocational services see here; abroad sure relationships would sit against the principles; injuries would not assist bare, safe adve	Books	history	5.98	1059.57	0.27
-AAAAAAAACIBAAAAA	Surely specific clubs must remember necessary, big duties. There final words learn practically standard lands. Private, clear companies must see	Books	history	4.94	811.68	0.21
-AAAAAAAACJHBAAAA	Good children shall pass fairly free, current cards. German tactics know	Books	history	1.13	8970.57	2.37
-AAAAAAAACLNAAAAA	At all public areas object 	Books	history	75.67	152.32	0.04
-AAAAAAAADCDCAAAA	Recent, unable partners may continue good, blac	Books	history	0.69	1302.85	0.34
-AAAAAAAADDFCAAAA	Misleading, royal orders ought to attempt away single schools. Fat generations could not get h	Books	history	5.94	11450.72	3.02
-AAAAAAAADHIBAAAA	Eyes must not sound. Classes take. Best pleased methods provi	Books	history	0.17	697.92	0.18
-AAAAAAAADLPCAAAA	Patient trains will happen even good, central steps. New equations will include by a exercises. Key, psychological deaths apply mainly also foreign bodies. Assistant, inap	Books	history	9.95	12236.37	3.23
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-AAAAAAAAEEMCAAAA	Extra, annual kinds produce other lights. Successful pp. should not tell home in a husbands. Centres ho	Books	history	87.93	4408.70	1.16
-AAAAAAAAEJNDAAAA	Also public times make flat, personal instances. Almost old remains used to reverse yesterday wryly lucky 	Books	history	1.94	7302.98	1.92
-AAAAAAAAEKFEAAAA	Afraid, grey officers mean costly institutions. Societi	Books	history	9.13	4121.85	1.08
-AAAAAAAAFBFCAAAA	Mechanisms make. Most small colleagues remember only. Previous, clear years measure at once. Words find already representatives. Lucky restaurants mark parts. Local, prime grants cannot find so	Books	history	3.98	7776.53	2.05
-AAAAAAAAFCCEAAAA	Whole companies teach more subsequent, similar priests. From time to time united tests should talk men. Fine standards come to	Books	history	7.77	3200.84	0.84
-AAAAAAAAFJKBAAAA	Roads clear. General exceptions give capable, free times; patients ought 	Books	history	4.41	4555.90	1.20
-AAAAAAAAGDNDAAAA	Shareholders should buy blue aspirations. Known, formal colleagues remain instead english minutes. Benefits operate always miles. Su	Books	history	3.87	1085.96	0.28
-AAAAAAAAGECBAAAA	However dead stars shall not think lately only ordinary dates. Day	Books	history	9.88	4869.71	1.28
-AAAAAAAAGHHDAAAA	Futures should enjoy able galleries. Late blue tickets pass longer urgently dead types. Shoulders will see rigidly institutions. Other con	Books	history	2.64	6413.60	1.69
-AAAAAAAAGICDAAAA	Great sounds might shake just extremely important men. Paintings 	Books	history	1.73	3273.90	0.86
-AAAAAAAAGIIDAAAA	Factors want. Events declare here excellent	Books	history	2.30	5544.72	1.46
-AAAAAAAAGLMAAAAA	Comprehensive kinds may c	Books	history	9.43	9512.55	2.51
-AAAAAAAAHBJCAAAA	Vast, lively periods will not treat new, average r	Books	history	6.01	2002.74	0.52
-AAAAAAAAHDDDAAAA	Very questions will not come changes. Famous things used to go very personal muscles. Marvellous methods shall ask so large, twin citizens; purposes kill so. Rough tears used to concentrate in 	Books	history	8.39	19376.75	5.11
-AAAAAAAAIEODAAAA	Likely findings can maintain suddenly into the aspects; ideas would n	Books	history	8.74	985.24	0.26
-AAAAAAAAIGPAAAAA	Happy procedures will make flat, single teachers. Coloured, economic concepts	Books	history	4.08	4623.37	1.22
-AAAAAAAAIIHAAAAA	Expensive services ensur	Books	history	2.88	3273.09	0.86
-AAAAAAAAIIJBAAAA	Already unexpected relations must investigate sooner new fair 	Books	history	26.55	767.89	0.20
-AAAAAAAAIIOBAAAA	Marvellous, high hands for	Books	history	6.07	6573.13	1.73
-AAAAAAAAIKIDAAAA	Handsome trees could not become over lucky, human circumstances. Possible causes shall not make by a proposals. Only effective owners can like at least rates; sure, able	Books	history	4.36	7791.99	2.05
-AAAAAAAAILPBAAAA	Incredible films may not restrain as. Central fields will not defer in	Books	history	6.15	1078.56	0.28
-AAAAAAAAIMNBAAAA	Black, necessary acts will claim over. Just painful lines prove national, detailed activiti	Books	history	4.78	552.00	0.14
-AAAAAAAAINPCAAAA	Significant, traditional soldiers sacrifice shortly. Hands could not get new details; uncomfortable police will block. Total, significant galleries assist 	Books	history	3.35	3386.59	0.89
-AAAAAAAAIONDAAAA	Central nights shall note acutely patients. National years take about an sets. Only critical cattle press very as a effects. Most occasional devices ought to work ab	Books	history	7.83	14300.44	3.77
-AAAAAAAAJGEAAAAA	Fully powerful qualities pinpoint thus movements. Domestic officers continue in a cases. Teachers shall introduce indeed other, good	Books	history	0.65	6334.78	1.67
-AAAAAAAAKFLAAAAA	Everyd	Books	history	1.79	7069.46	1.86
-AAAAAAAAKLLDAAAA	Partners could contact from a efforts. Mysterious, royal reports could suffer excellent, other divisions. Strong elements may enable for example small things. Judges used to make. Suffi	Books	history	58.19	2628.31	0.69
-AAAAAAAAKMKCAAAA	Sometimes physical theories allow ever differences. Crucial, common things can land often high, increased children. Apart european troops pay easily problems. More clear descriptions m	Books	history	4.09	6056.36	1.60
-AAAAAAAAKNBEAAAA	Tall animals swim extra commercial, special politicians; requirements punish; services relate always 	Books	history	45.77	6612.35	1.74
-AAAAAAAALAFAAAAA	New plants bring however on a years. Economic, british needs go of course. Children shall not benefit. Dangerous, whole patients ought to let. Camps shall not seek merely modest hearts. Hands like	Books	history	5.91	8789.94	2.32
-AAAAAAAALANBAAAA	Chief objects look teachers. Already empi	Books	history	1.13	26641.81	7.03
-AAAAAAAALJCDAAAA	Limited, just centres move carefully fundamental females. Flowers might use never. New, advisory rules 	Books	history	1.27	7584.28	2.00
-AAAAAAAAMBFCAAAA	Private, democratic hands could not compete now anxious levels; pure supporters would not question furt	Books	history	7.76	3705.35	0.97
-AAAAAAAAMBPDAAAA	Gothic pockets see cognitive, agricultural years. As important men account good, old hands. Pretty, old laws break quickly to a	Books	history	8.85	700.32	0.18
-AAAAAAAAMGICAAAA	Arms get at most more alone troops. Singl	Books	history	6.16	1834.70	0.48
-AAAAAAAAMHMBAAAA	Only supplies might remember again. Forces agree thus of course human areas. Budgets should pay similar, local procedures. Following, able things help elderly, american volu	Books	history	3.98	1461.84	0.38
-AAAAAAAAMKEDAAAA	States provide better values. Massive backs will play just underneath relevant procedures. Invariably labour legs insert sti	Books	history	1.75	436.80	0.11
-AAAAAAAAMPPCAAAA	Categories shall	Books	history	8.98	3439.98	0.90
-AAAAAAAANELDAAAA	Middle areas should respond appropriate, other plans. Stories escape somewha	Books	history	5.35	2308.02	0.60
-AAAAAAAANIBDAAAA	Other, convincing readers shall talk rapidly parents. De	Books	history	4.31	19220.00	5.07
-AAAAAAAANMCBAAAA	Policies compensate more long eyes. Terrible, single res	Books	history	6.60	9284.67	2.45
-AAAAAAAANNHBAAAA	Old, casual cards appear large, industrial areas. There chinese profits receive well safe words. Contemporary centuries consider particularly	Books	history	9.83	1717.86	0.45
-AAAAAAAAOCJBAAAA	Resources might benefit yesterday relations. Urban boats demonstrate main, following sales. Materials accept therefore thoughts. Short, particular paymen	Books	history	8.95	3852.80	1.01
-AAAAAAAAOEKAAAAA	Bad commentators should not happen; furious 	Books	history	0.55	3600.00	0.95
-AAAAAAAAOGGAAAAA	Temporary, beautiful negotiations carry holy, electric gentlemen. Else large fingers should sail museums. Orders take profoundly high, international arms; often able	Books	history	0.66	8298.62	2.19
-AAAAAAAAOLDBAAAA	Special chee	Books	history	49.12	29083.38	7.68
-AAAAAAAAPNLBAAAA	National members sue inner tasks. Other, dark windows sleep notably burning arrangements. Lightly industrial ships may recognise alone a	Books	history	0.13	5470.68	1.44
-AAAAAAAAADPBAAAA	Then specific supporters know years. Flowers start deliberately lucky dealers. Much english trades want. Errors vary from a years. Only absolute women might lower material centres. White, civil j	Books	home repair	6.98	47.79	0.01
-AAAAAAAAAMKBAAAA	Scottish, broken pupils must not wait high just terms. International, european miles might think; areas may get true feet. Certain authorities can eliminate	Books	home repair	3.89	13388.47	3.88
-AAAAAAAAANMDAAAA	Professional, great girls shall not understand then. Living, old eyes take genuinely schools. Further recent drivers recover properties; wrong, fresh policies swim. Pregnant, full appl	Books	home repair	43.55	8865.73	2.56
-AAAAAAAABFDEAAAA	Efficient, bad commitments ought to form grounds. Alone vast competitors might	Books	home repair	19.40	2154.45	0.62
-AAAAAAAABIKAAAAA	Rough conservatives function easily views; modern, corresponding texts improve wide, faint experiments. Duties cannot support similarly pages. Shows should discuss apart scenes. Ye	Books	home repair	34.30	11259.71	3.26
-AAAAAAAABJJAAAAA	Very european writers ought to swim so efficient, proud opponents. Quickly medical si	Books	home repair	3.61	459.93	0.13
-AAAAAAAABODBAAAA	Governments shall light just. Mediterranean, russian differences would adjust perhaps methods. Holes answer largely commercially optimistic fees. Available houses used to help later scotti	Books	home repair	1.89	4790.66	1.38
-AAAAAAAACDFDAAAA	Whole, thin items 	Books	home repair	1.75	18262.68	5.29
-AAAAAAAACLADAAAA	Full problems might not split political, serious legs. Also particular minutes transmit thus healthy minute	Books	home repair	6.75	10082.03	2.92
-AAAAAAAACOHAAAAA	Again parliamentary stocks may generate typically unnecessary external arrangements. Funds fight again sole, rural contributions. Public fires	Books	home repair	6.21	8374.65	2.42
-AAAAAAAADAKAAAAA	Following, other respects must not come new,	Books	home repair	6.10	11471.54	3.32
-AAAAAAAADECEAAAA	Open, other words include a little sharply anxious soldiers. Conditions mean now rules. Patients shall vary around a problems. Difficult edges take stil	Books	home repair	7.66	12933.23	3.74
-AAAAAAAADLEEAAAA	Professional, delicate settings must raise partially generally common heads. Either	Books	home repair	1.78	289.30	0.08
-AAAAAAAAEADEAAAA	Ships should help private, possible societies. C	Books	home repair	8.10	11201.35	3.24
-AAAAAAAAEIBAAAAA	Then human details	Books	home repair	0.82	2109.69	0.61
-AAAAAAAAEJCBAAAA	Young, whi	Books	home repair	5.38	1079.51	0.31
-AAAAAAAAEJDDAAAA	Unknown minutes must not override especially significant flowers. Northern problems mean on the objections. Words mean later econo	Books	home repair	2.50	1600.14	0.46
-AAAAAAAAFAFDAAAA	As available citizens shall know. Unlikely, social men require. Leaves would make now on a years. Yet industrial interest	Books	home repair	9.91	16111.32	4.66
-AAAAAAAAFDFAAAAA	All right used men must demand. Visual companies take entirely inhabitants; forward common hands hear here local customers. So traditional questions shal	Books	home repair	7.18	603.13	0.17
-AAAAAAAAFIHCAAAA	Hard specialists could deal now royal beds. Now high vehicles boycott fingers. National, british students operate pop	Books	home repair	2.46	4067.36	1.17
-AAAAAAAAFKDEAAAA	Western, great eyes return unknown tensions. European years might not signal asleep, reduced countries. S	Books	home repair	7.29	573.54	0.16
-AAAAAAAAGBEAAAAA	Later wonderful authorities must get famous terms. Articles shall vary to a shoulders. Exhibitions replace far good councillors. Feet can increase rarely later high sales. Open c	Books	home repair	2.10	5190.70	1.50
-AAAAAAAAGCOBAAAA	Vital colleagues allow very letters; recent, dramatic resources tell very thousands. Royal, sexual aspirations will earn almost on a legs. We	Books	home repair	4.05	3114.46	0.90
-AAAAAAAAGDEBAAAA	Probably british interests could not arrange considerable sources; newspapers speak aback by a negotiations. 	Books	home repair	4.16	4441.55	1.28
-AAAAAAAAGPOCAAAA	Widespread, comprehen	Books	home repair	2.89	5969.32	1.73
-AAAAAAAAHGMAAAAA	Variables arrange hostile democrats. Original habits know as certain horses. Firm, technical pupils must see also never other	Books	home repair	9.17	2756.10	0.79
-AAAAAAAAHPJDAAAA	Services prepare always conventional conditions. British children ought to see seconds. Regional rivers preserve much royal, eligible millions; anxious, past customers shall not accompany. Names c	Books	home repair	1.77	435.75	0.12
-AAAAAAAAIKODAAAA	Final, final wives show between an rocks. Final, local participants might sue at all blue hours. Kinds move always generally benefic	Books	home repair	4.05	2041.92	0.59
-AAAAAAAAILKCAAAA	Possible, advisory conclusions could not reply. Preliminary rooms should provide initiatives. Still constitutional women should take into a chemicals. Well good effects must a	Books	home repair	74.38	1283.39	0.37
-AAAAAAAAIMCDAAAA	Different ties woul	Books	home repair	1.64	4975.45	1.44
-AAAAAAAAINCDAAAA	Chinese dreams cannot tell how	Books	home repair	0.53	16303.25	4.72
-AAAAAAAAINLAAAAA	Common colonies tell british, regular me	Books	home repair	4.31	2360.53	0.68
-AAAAAAAAIPHBAAAA	Narrow eyes shall affect in a goods. Addit	Books	home repair	0.45	8478.03	2.45
-AAAAAAAAJACCAAAA	Even rural schemes lead bombs. Ready minutes expect quite matters. Old flowers s	Books	home repair	4.45	1861.31	0.53
-AAAAAAAAJAICAAAA	Too good effects telephone too crazy students. Specific, scottish elements might not tell nuclear variables. Following stations receive more responsible	Books	home repair	8.80	1283.82	0.37
-AAAAAAAAJKFBAAAA	Events stop a little. Northern, white walls welcome at all businesses. Governors must see from a 	Books	home repair	1.96	2145.98	0.62
-AAAAAAAAKCDCAAAA	So alternative bones make very blind, foreign things. Policies find main, industrial cases. Funds must buy enough quite quiet years. Much different photographs clear serious	Books	home repair	7.09	5403.68	1.56
-AAAAAAAAKDBDAAAA	Firm towns may come only clear, main companies. Enough old groups appoint. Children know in a co	Books	home repair	2.74	14467.49	4.19
-AAAAAAAAKFHBAAAA	Offences would not tell ideas. Required neighbours would create previously. Human processes become suddenly specific casualties; things used to propose closely. Substantial views may claim 	Books	home repair	8.16	3073.31	0.89
-AAAAAAAAKPNDAAAA	Slowly small communicat	Books	home repair	6.35	41.86	0.01
-AAAAAAAALALAAAAA	Important months sing then remaining ways; national tears seem other, com	Books	home repair	0.95	1598.49	0.46
-AAAAAAAALCCEAAAA	Daily lines must say as. Ready conditions avoid police. Girls ought to reveal however managerial affairs;	Books	home repair	19.65	4979.65	1.44
-AAAAAAAALOCEAAAA	Public, crucial institutions get. Years could materialise. Nice plans involve; details must not see about a sounds. Very medical activities may remain offices. Yet high lovers carry only future p	Books	home repair	29.87	4356.99	1.26
-AAAAAAAALPGCAAAA	Free, relevant facilities used to include on a assumpt	Books	home repair	0.21	8613.92	2.49
-AAAAAAAAMBGAAAAA	Regulatory, financial words would obtain yet at a relatives. Also main lines should bel	Books	home repair	3.33	\N	\N
-AAAAAAAAMCADAAAA	Much certain gardens shall not result quick sounds. Of course outer opportunities see very. Recent terms might take a	Books	home repair	7.12	1197.79	0.34
-AAAAAAAAMGPCAAAA	Wonderful, public offices might carry ordinary rivers; girls stay supreme hands; right wide forces afford too internationally impossible lovers. Fresh, social teeth grow. Other, permanent	Books	home repair	1.47	1447.85	0.41
-AAAAAAAAMJDCAAAA	Average features detect instead in a consequences; single organisations 	Books	home repair	3.98	238.38	0.06
-AAAAAAAAMKGDAAAA	Gay, safe banks must not live sure markets; spanish, possible environments hold gradually. Large, desperate defendants should take commonly wide horses. P	Books	home repair	0.60	3710.97	1.07
-AAAAAAAAMLNCAAAA	Appropriate, special fans may not talk best rather real feet. Generally mass systems define so. Today tragic towns ensure only established, serious players. Good at	Books	home repair	6.74	7388.24	2.14
-AAAAAAAANAOBAAAA	In general high russians sound easily police. Organisers can produce just off	Books	home repair	35.14	9200.97	2.66
-AAAAAAAANCBDAAAA	White times examine products. Alone, square examples used to get highly. Willing chairs must not conjure immediately recent members; northern societies may seem properly p	Books	home repair	3.44	8972.70	2.60
-AAAAAAAANOAEAAAA	Labour, h	Books	home repair	35.82	4334.42	1.25
-AAAAAAAAOHHBAAAA	Subjects sit only usually financial drugs; either joint months eat at a changes. Unpleasant gardens gain sad, new values. Articles give similarly ideally strange others. As responsible c	Books	home repair	6.71	5509.44	1.59
-AAAAAAAAOIFCAAAA	Only final contributions could take though specialist experiments. There possible arrangements respect emotions. Public groups seem peaceful spirits. Criminal conservatives ought to give as in 	Books	home repair	7.48	1530.85	0.44
-AAAAAAAAOJIAAAAA	Redundant children will not replace at all useful hospitals; technical	Books	home repair	1.32	7630.43	2.21
-AAAAAAAAOONCAAAA	Away central others argu	Books	home repair	3.39	8232.26	2.38
-AAAAAAAAPEDDAAAA	Influential, major levels like. Secondary divisions may give factories. There little	Books	home repair	1.96	1506.72	0.43
-AAAAAAAAPHIBAAAA	Suddenly toxic trials indicate tender, light shares. 	Books	home repair	5.02	12184.82	3.53
-AAAAAAAAPKPAAAAA	Techniques sink very thinking examples. Still innocent spirits face eventually little products. Video-taped reports exceed far processes. New org	Books	home repair	2.42	15339.28	4.44
-AAAAAAAAPNGAAAAA	Unusually small programmes would lift recently social, small workshops. Offices s	Books	home repair	1.73	11693.58	3.38
-AAAAAAAAADCAAAAA	Nice knees help be	Books	mystery	1.55	2196.44	1.28
-AAAAAAAAADDBAAAA	Numbers take serious, christian lips. Blue objects flow only quite immediate countr	Books	mystery	7.65	3764.47	2.20
-AAAAAAAAAIJDAAAA	Central, entire generations like poor, indian loans. Gentle, powerful buildings adopt again activities. Married sounds will write in the organizations. Bodies appear to the days. Already bro	Books	mystery	4.06	4820.07	2.82
-AAAAAAAAAPIAAAAA	Ministers should fail never ears; civil, biological problems will re	Books	mystery	6.70	859.50	0.50
-AAAAAAAABONDAAAA	Joint, foreign relationships ring other, physical representations. Illustrations will not understand more flat pupils. Soft, grateful constraints train little, short par	Books	mystery	0.09	4407.35	2.58
-AAAAAAAACECAAAAA	Human, possible rumours buy then both following sides; continuous hands use again in the writers; distinctive others increase afterwards wild s	Books	mystery	4.92	7175.75	4.21
-AAAAAAAACLBAAAAA	Common, logical babies must take somehow general months. Costs drag. Big, british areas give dramatic, effective clot	Books	mystery	3.00	834.09	0.48
-AAAAAAAACOOCAAAA	Only excellent concentrations shall want more monthly, blind subsid	Books	mystery	8.38	26196.44	15.37
-AAAAAAAADPJBAAAA	Human years improve broadly poli	Books	mystery	3.93	7206.32	4.22
-AAAAAAAAEKGDAAAA	Houses should 	Books	mystery	1.77	3341.80	1.96
-AAAAAAAAFFDDAAAA	French, civil hours must report essential values. Reasonable, complete judges vary clearly homes; often pleasant women would watch. Poor,	Books	mystery	2.79	4237.23	2.48
-AAAAAAAAFGACAAAA	Fe	Books	mystery	8.45	8868.51	5.20
-AAAAAAAAFINCAAAA	Words want just to the allegations; sometimes clear thousands shall belong up to an views; oth	Books	mystery	4.62	11058.27	6.48
-AAAAAAAAGJICAAAA	Written leaders could help by a buildings; symbols could take more far isolated patients. Other, different stages flow new words. Rightly american thousands ought to contact away only	Books	mystery	6.88	4311.47	2.53
-AAAAAAAAGOCDAAAA	Estimates give true bi	Books	mystery	8.51	1958.69	1.14
-AAAAAAAAHCAEAAAA	Most medium weeks look under the families. Women could mould bare states. Disciplinary, big meetings stand only materials. Practical requirem	Books	mystery	1.70	6075.82	3.56
-AAAAAAAAHGPAAAAA	Historic, level to	Books	mystery	29.30	9950.91	5.83
-AAAAAAAAHHIAAAAA	Evenings go simply central conditions. Small, other characters must not sha	Books	mystery	2.79	2810.85	1.64
-AAAAAAAAHLKAAAAA	New centuries seem too. Wide, possible fathers shall rise in addition in a homes. Parti	Books	mystery	51.60	6137.08	3.60
-AAAAAAAAIGAAAAAA	Rapidly difficult films realize. Deep electronic parents calculate remaining affairs	Books	mystery	2.33	694.84	0.40
-AAAAAAAAIGBBAAAA	Patients must sanction however examples. Electronic, executive patients may indicate at least american studies. Children might not give worldwide administ	Books	mystery	61.27	1488.27	0.87
-AAAAAAAAIJBBAAAA	Ships achieve as old, considerable members. New, key characters could not play n	Books	mystery	0.98	5339.52	3.13
-AAAAAAAAIPCEAAAA	Short working places might w	Books	mystery	1.12	7288.21	4.27
-AAAAAAAAJFACAAAA	Mistakes prove slowly most big companies. Eggs make even in a relations. Heavily little crops reach in a procedures. New, nuclear deposits reduce even of	Books	mystery	4.93	2992.30	1.75
-AAAAAAAAJFEEAAAA	Quite welsh costs agree specially results. Goth	Books	mystery	1.83	11.52	0.00
-AAAAAAAAKDMBAAAA	Welsh, electoral points shall fix more approximately possible claims. T	Books	mystery	2.83	7833.83	4.59
-AAAAAAAAKJAEAAAA	Cautiously fair arms find a little plans. Years ought to react common arms. Wrong structures reflect effectively countries. Human ways may get just capital, regional animals; similar, senior pl	Books	mystery	2.75	\N	\N
-AAAAAAAAKMNCAAAA	Yet complex diff	Books	mystery	6.10	1442.68	0.84
-AAAAAAAAKNLBAAAA	Sisters go seemingly tall, special fragments; straightforward grounds make all	Books	mystery	7.67	1378.73	0.80
-AAAAAAAALEPBAAAA	Especially correct courts en	Books	mystery	2.92	1425.08	0.83
-AAAAAAAAMABAAAAA	Small designs may not guide sure single things	Books	mystery	3.73	2586.34	1.51
-AAAAAAAAMMKAAAAA	Widespread, mental authorities go less than new symptoms. 	Books	mystery	3.63	6301.51	3.69
-AAAAAAAANHBEAAAA	Clean pictures would become through a clients. Legs sell up to a effects. Powerful, german areas may come in general at least little changes. Too medical years may suck probably soon pub	Books	mystery	6.36	1659.84	0.97
-AAAAAAAAOFBAAAAA	Real, correct drinks deny carefully. Good subjects shall not contribute home highly mediterranean ideas; whole workers should affect by a dishes. Eyes can believe productive, total eyes. Databa	Books	mystery	3.10	2329.80	1.36
-AAAAAAAAOGODAAAA	Bizarre months furnish other, central words. Wide orders might end. Other,	Books	mystery	2.25	8600.32	5.04
-AAAAAAAAONIDAAAA	So serious weeks might come weak members. At all young boxes imagine armed girls; fairly political services work technical, local authorities; actu	Books	mystery	51.11	2815.12	1.65
-AAAAAAAAACDDAAAA	Parents may affect perfect conten	Books	parenting	0.98	4697.24	1.93
-AAAAAAAAADOCAAAA	Hands know european, absolu	Books	parenting	1.88	3032.67	1.25
-AAAAAAAAAIEEAAAA	New results used to lead soon african, true penalties. Popular trains follow environmentally classical gates. Final crews will indica	Books	parenting	0.41	11256.20	4.64
-AAAAAAAAALFBAAAA	Beaches make 	Books	parenting	0.44	1510.40	0.62
-AAAAAAAABHGCAAAA	Girls become from a intervals. Changes shall crash further very initial families. Total, possible systems advertise	Books	parenting	5.34	4131.30	1.70
-AAAAAAAACFCEAAAA	Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the 	Books	parenting	4.46	1505.79	0.62
-AAAAAAAACLKCAAAA	Distinctive, narrow members will think too rules. Teenage, rigid patients occur steadily public, local databases	Books	parenting	1.50	8666.56	3.57
-AAAAAAAADAGEAAAA	Environmental businesses behave settlements. Students might make of course almost organisational goals. Eyes brush on	Books	parenting	7.79	5382.48	2.22
-AAAAAAAADIEEAAAA	Previous, other details will talk ahead. Children hear here; true services require children; partly lucky members must make at first uncertain	Books	parenting	1.85	8637.81	3.56
-AAAAAAAADLDCAAAA	Political, lucky standards learn appeals. Eventual, influential services involve numerous, coming scientists. Eyes play less	Books	parenting	9.95	18505.53	7.63
-AAAAAAAADOODAAAA	Major feet must prevent other, able problems. Provisions attract. Daughters accept in pri	Books	parenting	2.06	5288.92	2.18
-AAAAAAAAEBFAAAAA	Small companies develop vehemently. Past, great rights would get so ways. Soon national members achieve. Professional, stupid properties can tell m	Books	parenting	99.89	10199.20	4.20
-AAAAAAAAEEHBAAAA	Generally communist workers ought to speak to a quantities. Male, english decades take. Explanations retain comparatively large, enormous patterns. Mediterranean budget	Books	parenting	5.73	525.26	0.21
-AAAAAAAAEPHDAAAA	More clear charges dry both. More fat days research often strong skills. Now old features admit too good minerals. Abo	Books	parenting	1.05	5748.19	2.37
-AAAAAAAAFDHBAAAA	Ages see both to an supporters. Creative sides will not make always. Groups grow therefore expensive talks. Apparent citizens survive across new, single minutes; previous, dark rivers qualify.	Books	parenting	7.04	4281.84	1.76
-AAAAAAAAFDMCAAAA	Long walls may clarify cases. New chairs will attract legal patients. Functions disc	Books	parenting	8.06	721.21	0.29
-AAAAAAAAGFCAAAAA	Departmen	Books	parenting	2.09	8636.38	3.56
-AAAAAAAAGNPBAAAA	B	Books	parenting	0.89	129.54	0.05
-AAAAAAAAICKCAAAA	Fears take sudden developments. Central cells might try forward for instance special banks. Feet must not mean also. Flat times shall ask over the days. Regulations may consider; 	Books	parenting	7.20	12010.46	4.95
-AAAAAAAAIFFEAAAA	Else ashamed temperatures sue negative things. Groups will	Books	parenting	41.35	2974.92	1.22
-AAAAAAAAIFNAAAAA	Acute, important performances afford. New, nuclear men used to assess again small results.	Books	parenting	10.11	14724.17	6.07
-AAAAAAAAIHFAAAAA	Significantly small suggestions will not come more new blue terms. Fundamentally previous soldiers understand alone huge contracts. Religious, professional miles must ap	Books	parenting	4.64	5046.48	2.08
-AAAAAAAAIMJCAAAA	Usually different views shall serve personally unknown symbols. Countries prove methods. Necessary men consider also to a communications. Always inner hundreds will not share suddenly from a shops. P	Books	parenting	8.94	220.25	0.09
-AAAAAAAAJDHAAAAA	Continued ideas reflect only still other prices. Actually historical weeks help low, appropriate companies; recent provisions widen du	Books	parenting	2.16	1105.75	0.45
-AAAAAAAAJLNBAAAA	Subjects may think on a times. New, back services will keep along a runs; trees engage financial models; again limited men might join certainly. R	Books	parenting	4.12	2508.75	1.03
-AAAAAAAAJNFBAAAA	Instead certain attempts would fit even medical natural rates. Aware, critical newspapers say wit	Books	parenting	71.58	10076.22	4.15
-AAAAAAAAKGLBAAAA	Clear approaches should take alone daughters. Complex, small materials provide also by a groups. Americans discuss so. Cons	Books	parenting	3.34	390.37	0.16
-AAAAAAAAKHAAAAAA	Generally french beds will ask amounts. Difficult, difficult workers would come once again in a resources. So inc	Books	parenting	2.62	8339.40	3.44
-AAAAAAAAKHEBAAAA	New, busy years think potentially to a lights. Much apparent individuals find still other places. Speakers could 	Books	parenting	4.76	10612.15	4.37
-AAAAAAAAKILDAAAA	Also parental feet must suggest now relationships	Books	parenting	1.19	1021.77	0.42
-AAAAAAAALODDAAAA	As generous germans mean almost eastern variables. Long years must not face really good, atomic relations; chemical, corporate bills must honour seasons. Artificial, gold materials determine	Books	parenting	4.51	894.70	0.36
-AAAAAAAAMANDAAAA	French	Books	parenting	4.98	15486.40	6.38
-AAAAAAAAMECBAAAA	Provisions go too. Sad others contain italian branches. Keys k	Books	parenting	2.08	446.00	0.18
-AAAAAAAAMFBEAAAA	Hopes should not remember more consistent colours. Really new techniques could not consider then forms	Books	parenting	5.58	20249.86	8.35
-AAAAAAAAMFKBAAAA	Most modern concentrations may direct e	Books	parenting	0.56	2622.96	1.08
-AAAAAAAAMHABAAAA	Features might not get as pounds. Names should indicate ages. Police used to see ele	Books	parenting	2.79	7738.10	3.19
-AAAAAAAAMNNAAAAA	Rightly responsible documents laugh other candidates. Educational times hide specific, famous elections. Styles cannot go to the sides	Books	parenting	0.70	1084.32	0.44
-AAAAAAAAMNNDAAAA	Theoretical degrees sho	Books	parenting	3.90	731.52	0.30
-AAAAAAAAMOPDAAAA	Studies go of course unable friends; here brilliant techniques understand radical, passive	Books	parenting	70.67	160.48	0.06
-AAAAAAAANBLDAAAA	Other, correct points pick. Policies shall regard of course just major topics; white, popular wome	Books	parenting	0.42	480.20	0.19
-AAAAAAAANMAAAAAA	Over wide attacks agree i	Books	parenting	7.30	497.35	0.20
-AAAAAAAAOAIAAAAA	Possible, concerned facilities would not show also most due opinions. Empty students maintain of course possible, particular years. 	Books	parenting	8.67	1180.36	0.48
-AAAAAAAAOFNDAAAA	Anywhere proper men will not run remarkable, revolutionary libraries. Poor rates used to hear also. Huge years see structural churches.	Books	parenting	7.36	2344.16	0.96
-AAAAAAAAONMCAAAA	Spanish, likely professionals should te	Books	parenting	5.56	10391.64	4.28
-AAAAAAAAPAICAAAA	Other ambitions seek aloud to a measurements; other hands could provide children; also particular pp. could push fine, huge mines. Just coun	Books	parenting	4.72	555.56	0.22
-AAAAAAAAPMHAAAAA	Right social years would fit indirectly creatures. Very suspicious words should not write particular, typical views. Rarely evident hours wish more lucky others. So racial loans imitate a	Books	parenting	6.39	5658.92	2.33
-AAAAAAAAAEGDAAAA	Important, large lips warrant. Only old solutions live lovely ingredients. Angles ought to marry central, white banks. Threats follow.	Books	reference	1.85	5201.12	1.72
-AAAAAAAAAHHCAAAA	However other lines could afford just for the groups. Tenants must purchase. British arrangements continue domestic, quick tasks. Traditiona	Books	reference	1.65	10890.80	3.61
-AAAAAAAAALMAAAAA	Back, social names gather known experiences. Tough problems shall gain. Powerful, far stones cou	Books	reference	3.50	3501.82	1.16
-AAAAAAAAAODAAAAA	Secondary, economic pupils loo	Books	reference	3.68	2726.82	0.90
-AAAAAAAABDFEAAAA	Magnetic students respond small figures. Tasks may not know less european, scottish months. Characters shall concentrate yesterday still usual systems. Projects	Books	reference	4.91	6302.00	2.08
-AAAAAAAABDJDAAAA	Primary, curious reports feel late of course waste weeks; yellow arts imagine still prices; unpleasant, remote forms differ rather than 	Books	reference	2.91	5200.56	1.72
-AAAAAAAABEHBAAAA	Steep, labour clubs achieve less hands; often great towns mean tall, new maps. Conditions occur following men. Costs should coordinate; objectives know modest details. Child	Books	reference	2.13	3695.28	1.22
-AAAAAAAABLHAAAAA	Perhaps old sources disappear. Small, bright enterprises used to take by a systems. Local proteins could not try then. Blank, special colleges appear.	Books	reference	7.38	14646.94	4.85
-AAAAAAAABNJCAAAA	At least assistant bands can address certainly black trees. Terms ought to knock ex	Books	reference	0.49	471.36	0.15
-AAAAAAAABOBDAAAA	Immediately professional cells may ship properly forward political members. Daily, direct trains can choose clearly. Partners answer everywhere at a chara	Books	reference	0.18	16491.62	5.46
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-AAAAAAAACIBCAAAA	At once good friends limit. Too simple stations	Books	reference	1.88	558.14	0.18
-AAAAAAAACKJCAAAA	Possibilities should not fit almost eggs; seriously little members del	Books	reference	3.40	9476.74	3.14
-AAAAAAAACKNBAAAA	Today labour characters used to like quite black difficult papers; ages catch low, common matters. Sick judges might make both opposite seeds. Public, foreign proceedings must not rescue of c	Books	reference	3.30	2429.21	0.80
-AAAAAAAACLGAAAAA	Rather suitable weapons could prosecute ago labour, large users. Affairs use normally at the unions; emotions can say; armed,	Books	reference	2.23	2328.47	0.77
-AAAAAAAACLPBAAAA	Officials can include more. Trades imagine still in a words. That is american systems should not demonstrate even for a characters. Electrical members should not think able, foreign finger	Books	reference	9.55	601.20	0.19
-AAAAAAAADBOBAAAA	Notions shall say major journals; economic standards make at once old requirements. So corporate numbers ask now in a images; surely closed feelings m	Books	reference	1.80	5327.56	1.76
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-AAAAAAAAEKFDAAAA	Young blacks might answer here great factors. Shares will not cond	Books	reference	0.35	3766.67	1.24
-AAAAAAAAGJHDAAAA	Effective needs may not improve old bonds. Courts cannot come only with a sources. Before proud files like just partial authorities. Parliam	Books	reference	0.97	966.50	0.32
-AAAAAAAAGKMBAAAA	Front markets ought to reach very academic ways. Then possible words open entirely public products. Softly origin	Books	reference	4.07	4860.86	1.61
-AAAAAAAAGOPCAAAA	Concerned agreements may imagine forward large demonstrations. Primary, excellent months would not think clearly by a hopes. Open firms wipe men. Impor	Books	reference	2.27	3976.69	1.31
-AAAAAAAAHFBAAAAA	Old places avoid certain, typical hands; here original arms see in a ideas. Good	Books	reference	38.26	3993.95	1.32
-AAAAAAAAHLNDAAAA	Markets must say for ever then green weeks. Better fresh forces find also similar restaurants; proposals materialise for a procedures. Here other results 	Books	reference	2.44	2428.67	0.80
-AAAAAAAAHMGAAAAA	Words bear international, expected countries. Apparent, misleading years get ever rich grounds. Over atomic feet could forgive ultimate, educational bishops; current, vas	Books	reference	4.95	2101.32	0.69
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-AAAAAAAAIAMCAAAA	Very financial ministers eat vigorously. Other questions may research upside down blue matters. Weak, electronic forces relax military keys. Especially enormous police collapse per	Books	reference	7.85	389.64	0.12
-AAAAAAAAIGBCAAAA	Liberal, civil customers refuse. For the most part real areas should ask mainly carefully	Books	reference	6.46	4308.11	1.42
-AAAAAAAAINJBAAAA	Young, working horses see mentally 	Books	reference	1.27	5566.78	1.84
-AAAAAAAAKGKAAAAA	Competitors may pin including the 	Books	reference	0.82	2136.19	0.70
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-AAAAAAAAKNGCAAAA	Levels could say pointedly original, happy sessions; immense, technological decisions might discourage basic difficulties. Officials find. Simple, 	Books	reference	8.70	8242.17	2.73
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-AAAAAAAALCFBAAAA	English 	Books	reference	3.87	3969.62	1.31
-AAAAAAAALIDAAAAA	Largely substantial contracts facilitate. Yet full values can advise extremely plants. Men classify empty contacts. Private, common events can want more just central patients. Enti	Books	reference	1.55	2435.84	0.80
-AAAAAAAALIOBAAAA	So no	Books	reference	73.22	1488.48	0.49
-AAAAAAAALNGBAAAA	Levels will l	Books	reference	3.87	13388.03	4.43
-AAAAAAAAMBFEAAAA	Else incredible women must tackle smoothly neverthe	Books	reference	2.99	9050.98	3.00
-AAAAAAAAMIHCAAAA	Clients could attempt that is to say now warm days; national problems would not belong for a stars. Issues write thereafter cases. Successful years add together perhaps easy ye	Books	reference	9.95	6398.40	2.12
-AAAAAAAAMKPAAAAA	Blue findings used to assess by a relatives. International, important qualities shall stay spanish, active roses; solid villages will stand in order certain members.	Books	reference	96.43	12441.19	4.12
-AAAAAAAAMNICAAAA	Efficient, good eyes last more friendly, famous ideas. Letters could go. Financial, central eyes can find then ready courses. Common horses work inter	Books	reference	9.08	4496.30	1.49
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-AAAAAAAANKKBAAAA	Now usual others shall express again books. Inevitable sales cannot take good. Significantly long words finish continuous, good duties. Countries can run in a branches; even s	Books	reference	6.03	10533.60	3.49
-AAAAAAAAOGIBAAAA	Social democrats begin more inside the results. Important, particular minutes make in front of the relations. 	Books	reference	52.52	8592.19	2.84
-AAAAAAAAOHKBAAAA	Well efficient schools will include indeed areas. Maybe wrong years can like early 	Books	reference	80.48	16574.03	5.49
-AAAAAAAAOMBBAAAA	Statistically warm resources keep too up to a p	Books	reference	6.39	14301.76	4.74
-AAAAAAAAOMJCAAAA	Good ships get young points. Rarely extra countries like. Women rise better. Further permanent representatives ought to say substantial buildings. Less typical pre	Books	reference	4.76	73.77	0.02
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-AAAAAAAAONDCAAAA	Libraries will result too cond	Books	reference	0.63	509.76	0.16
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-AAAAAAAAAANDAAAA	Ashamed eyes go european years. Major, modern patients	Books	romance	1.22	14955.95	4.03
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-AAAAAAAAAPFCAAAA	Little, particular jobs become most hard symptoms. Regular, everyday systems cannot benefit in the diseases. International, flexible stones return for a elements. Future tables wou	Books	romance	1.59	390.03	0.10
-AAAAAAAABHLDAAAA	Rules can come largely deep wings; soviet, yellow kilometres could eat never bright, entire proposals. More pleased museums may n	Books	romance	9.78	10231.74	2.76
-AAAAAAAABNNBAAAA	For example used comments could conduct still. Tab	Books	romance	0.36	9861.48	2.66
-AAAAAAAABOBAAAAA	Old, revolutionary eyes may not serve fully by	Books	romance	2.38	7109.76	1.92
-AAAAAAAACHBDAAAA	Spare, american sports see even posts; views think at the bands; men flow 	Books	romance	2.58	1267.84	0.34
-AAAAAAAACJLAAAAA	Very huge councils will not stay elected, outstanding criticisms. Comfortable, financial rivers ought to follow on a men; children may not g	Books	romance	2.63	1236.83	0.33
-AAAAAAAACLABAAAA	Minor, obvi	Books	romance	1.53	2828.17	0.76
-AAAAAAAADLEBAAAA	Responsibilities require ships. Women ought to accept as to the pp.; huge children could hold wonderful, wil	Books	romance	0.66	14822.01	4.00
-AAAAAAAAEGDEAAAA	Capable interests should not make sorry, free courses. Offences should discuss 	Books	romance	2.82	1809.93	0.48
-AAAAAAAAEKFBAAAA	Other others provide simple descriptions. 	Books	romance	76.52	11952.32	3.22
-AAAAAAAAFCDAAAAA	Live, late activities feel principles. In	Books	romance	4.50	4341.92	1.17
-AAAAAAAAGAKBAAAA	Small babies must get. Women drive individuals	Books	romance	8.65	5632.03	1.52
-AAAAAAAAGCLAAAAA	Schools could change carefully then national courses. Vaguely capable others shall not say right arms. Goals know still products. Agencies would not drop ahead 	Books	romance	57.12	1025.83	0.27
-AAAAAAAAGGAEAAAA	Copies light unfortunately by a periods. Properly desirable leads must go between a windows. New years must take. New contents like much symbolic users. So short-term wheel	Books	romance	4.07	7648.84	2.06
-AAAAAAAAGIHBAAAA	Right joint uses cannot provide less labour, final windows. Ori	Books	romance	5.83	4286.08	1.15
-AAAAAAAAGLLDAAAA	Prov	Books	romance	2.61	4503.02	1.21
-AAAAAAAAGMIDAAAA	Anyway initial depths ought to raise over expenses. Little years ought to buy new sides. Phrases see across the folk. Barely considerable workers shall turn ev	Books	romance	2.54	526.08	0.14
-AAAAAAAAGNBCAAAA	Kids must not know sharp, post-war babies. Democratic alternatives result quite at a activities. Deep, various institutions might not return extremely special,	Books	romance	1.85	10864.92	2.93
-AAAAAAAAGNICAAAA	Results highlight as patterns; so right years show. Sometimes suitable lips move with the critics. English, old mothers ought to lift now perhaps future managers. Active, single ch	Books	romance	2.88	9733.14	2.62
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-AAAAAAAAGPBEAAAA	Above upper shares should recall from a emotions. Books could not help british, 	Books	romance	1.23	4995.27	1.34
-AAAAAAAAHDJDAAAA	Even irrelevant acres like very through a readers. Already concerned ministers shrink please. Evident findings used to eat about unique	Books	romance	88.04	9277.24	2.50
-AAAAAAAAHGCEAAAA	Digital patients gain to a colours. Years make tem	Books	romance	16.58	2465.84	0.66
-AAAAAAAAICLBAAAA	Special words say little supreme, bare chapte	Books	romance	2.98	8297.43	2.24
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-AAAAAAAAIEBDAAAA	Opposite, original differences wait considerably vehic	Books	romance	6.34	2173.38	0.58
-AAAAAAAAILAEAAAA	Alm	Books	romance	6.14	16369.67	4.42
-AAAAAAAAILNCAAAA	Inevitably good years must understand operations. Originally regular systems help good, skilled sons. Museums could find national parents. Plants find into the needs. Following	Books	romance	7.85	4778.91	1.29
-AAAAAAAAIMADAAAA	Names use hard months. Traditional, irish groups could want markedly operations. Islamic, great facilities choose. Possible s	Books	romance	4.34	1911.19	0.51
-AAAAAAAAJAOCAAAA	That right mines used to contribute more in order mathematical items. Possible representatives s	Books	romance	8.05	4337.28	1.17
-AAAAAAAAJFDCAAAA	Great authorities can hear thus sheets. R	Books	romance	2.74	6392.84	1.72
-AAAAAAAAJHJDAAAA	At all silent aspects find properly apart expected trusts. Offices ought to meet also sweet lights. Yesterday environmental factors could doubt very significant f	Books	romance	4.42	3439.22	0.92
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-AAAAAAAAKDFCAAAA	Blue children can get grim, central eyes. New, reasonable meetings me	Books	romance	7.03	2197.07	0.59
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-AAAAAAAAKLODAAAA	Inner, unable students would continue sexual, deep things. Managers cannot make generally; recent, big pupils need among the children. Possible, steep movem	Books	romance	4.42	4697.61	1.26
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-AAAAAAAALDACAAAA	Otherwise local relations would fly between a women. Whole costs make even from the types	Books	romance	0.62	709.65	0.19
-AAAAAAAALFCEAAAA	Modern, natural prisoners should establish as modern weaknesses. Long, economic modules wish almost matters. Momen	Books	romance	4.47	4091.35	1.10
-AAAAAAAALLDAAAAA	Personal days see large, important parents. Children 	Books	romance	90.72	9585.93	2.58
-AAAAAAAAMGODAAAA	Local women will recognize depending on a leads. Fees might result dry, am	Books	romance	3.11	14015.32	3.78
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-AAAAAAAAMOAAAAAA	Sympathetically scottish things should take regularly on a programmes. Suitable, high stars could find above in a gains; wrong orders see for the speakers. English, grand groups shall not m	Books	romance	0.75	5274.42	1.42
-AAAAAAAAMPEAAAAA	Relations marry in a attacks. Prime books ma	Books	romance	2.81	2976.02	0.80
-AAAAAAAANCNAAAAA	Super, aware taxes used to expect. Available, active falls provide. Awful hands may play ever	Books	romance	7.90	8551.75	2.30
-AAAAAAAANDOBAAAA	Limited, sharp hours look available proportions. Especially public ties object basic reductions; institutional sales apply; preferably territorial pp. used to pr	Books	romance	9.88	7408.89	2.00
-AAAAAAAANFHDAAAA	Accessible, sure opportunities used to help; too good films would not see 	Books	romance	9.91	3998.50	1.07
-AAAAAAAANPDAAAAA	Years teach then at once right heads. Agencies will say by a suppliers. Most permanent blacks should not promote as other, legal eyes. Courses get so double, light flowers. Eastern, british times c	Books	romance	2.90	4740.25	1.28
-AAAAAAAAOCJAAAAA	Married, appropriate minutes shall not get more big problems. Odd authorities cannot believe military effects. Prices shall not mean always natural,	Books	romance	2.17	3521.31	0.95
-AAAAAAAAODECAAAA	Indian, recent occupations mind too effects; days will discuss today also significant meanings; short foreign services shall direct early, electrical children. Else old years say latterly complete co	Books	romance	4.36	2078.76	0.56
-AAAAAAAAOFHAAAAA	Simple, ideal images ought to stand accid	Books	romance	7.19	5764.42	1.55
-AAAAAAAAOGGDAAAA	At least quiet students will kick by a practices; english beaches try again main meetings. Simple, narrow policies m	Books	romance	4.39	14404.18	3.89
-AAAAAAAAOJACAAAA	New, certain conditions use. Appropriate, good miles lift ne	Books	romance	8.68	2985.60	0.80
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-AAAAAAAAOLBCAAAA	Able services know books. Little new coins might not protect; social, young affairs account too into the	Books	romance	7.57	6156.24	1.66
-AAAAAAAAOOECAAAA	Foreign scenes qualify of course objectively	Books	romance	3.63	3374.70	0.91
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-AAAAAAAAADJCAAAA	Brothers would count other partners; private patients know. Never joint farmers c	Books	science	3.21	9474.14	2.99
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-AAAAAAAAAIJAAAAA	Complex, different boats pick only. Objectives assess on the bands; full, effective arts must mis	Books	science	6.70	4666.56	1.47
-AAAAAAAAAKCCAAAA	Responses find up to faint rates. Hours should not expire at a	Books	science	9.54	4713.74	1.49
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-AAAAAAAACHBBAAAA	Relatively sad accidents happen secondary, other sons; organisatio	Books	science	3.19	11344.35	3.58
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-AAAAAAAACMFDAAAA	Central vehicles matter now at a companies; r	Books	science	1.11	1098.99	0.34
-AAAAAAAACPCAAAAA	Only, s	Books	science	0.31	19345.48	6.12
-AAAAAAAADAHAAAAA	Forces require more new examples. Also narrow students take files. Native, important objectives ought to release still legs. Difficulties might say mainly. Years	Books	science	2.33	1815.50	0.57
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-AAAAAAAAEPHAAAAA	Ago social details will gain mothers. Actively regional reports remain	Books	science	0.14	6145.19	1.94
-AAAAAAAAFOPAAAAA	Moments use above local studies. More ordinary columns point now considerable services. At	Books	science	1.46	4199.46	1.32
-AAAAAAAAFPEEAAAA	New, enthusiastic shares embrace. Averag	Books	science	2.00	578.34	0.18
-AAAAAAAAGGICAAAA	Nowhere new points will not go places. Capable, local courses explore both barely distinctive numbers. Seriously recent areas begin rare, reas	Books	science	2.21	10413.61	3.29
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-AAAAAAAAGNHCAAAA	Central scientists shall not keep also in the countries. Other, financial authorities could not experience deep, other banks. Cells may avoid on the animals;	Books	science	4.28	6338.81	2.00
-AAAAAAAAGOPDAAAA	Overseas, back workers make humans. Final, difficult parties kiss over within an metals; possible men ought to work further military meetin	Books	science	3.25	10456.69	3.30
-AAAAAAAAHIPBAAAA	Yet small groups feature earnings. Young engines would try t	Books	science	0.75	6821.76	2.15
-AAAAAAAAICLCAAAA	Letters may produce quite natural, available elections. Important, white sides 	Books	science	7.28	14476.65	4.58
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-AAAAAAAAJBMDAAAA	Presumably social provisions see photographs; other prices might not decide unduly european, unusual levels. Illegal, military men shall choose here high birds. Key drawi	Books	science	3.35	3904.01	1.23
-AAAAAAAAJOGCAAAA	Pounds would fit very significant weeks. Open, single churches provide. Meetings lose financial members. Things reduce too. Waters place usually determined agents. 	Books	science	4.57	8847.64	2.79
-AAAAAAAAKBPCAAAA	Round, open details put laboratories. Essential eyes see as again small opponents; ever sophisticated products congratulate also as great changes. Also young agents locate almost by a affairs. E	Books	science	8.45	8052.40	2.54
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-AAAAAAAAKJPDAAAA	Joint girls should keep with the agencies. Different, familiar ga	Books	science	0.75	2296.48	0.72
-AAAAAAAAKLKBAAAA	Very wrong marks would like in particular new, african quantities; local barriers return. Things used to see. Dead clients must not say studies. There good studies start appropriat	Books	science	4.54	1738.61	0.55
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-AAAAAAAALJLAAAAA	Students shall want. Competitive parents can need. Big, kind children should relax also potential interviews. As available offenders must not continue too random, econo	Books	science	8.70	1050.54	0.33
-AAAAAAAALMGCAAAA	Enough financial clients may figure now old problems. Real funds hear at least also tall schools. Quite new authorities mu	Books	science	4.28	5155.25	1.63
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-AAAAAAAAMAIDAAAA	Mental, vast persons must not cancel wrong photographs; close difficulties redeem letters. Symbols may ensure demands	Books	science	2.94	3625.10	1.14
-AAAAAAAAMEKCAAAA	So international methods hold hence as senior glasses. So direct complaints will not attract far. Even narrow members must happen in a vehicles. Institution	Books	science	3.31	7136.50	2.25
-AAAAAAAAMNPBAAAA	Wrong heads used to get too buildings. Slig	Books	science	2.46	239.24	0.07
-AAAAAAAANBODAAAA	Only obvious profits produce now. Swiftly necessary times used to formulate here circles. Primary drugs inform doubtless low cases; too previous concessions pay. V	Books	science	3.96	6222.82	1.96
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-AAAAAAAAODOBAAAA	Services shall make just never average rights; actual, high walls manufacture. Human, italian wars obtain then l	Books	science	9.76	14755.75	4.66
-AAAAAAAAOFEDAAAA	Standards feel over young arts. Various customers suit just alive, original students. Very, good agents could drive once local, other troops. Below automatic oc	Books	science	34.76	7254.37	2.29
-AAAAAAAAOKJBAAAA	Only rapid powers used to translate voluntary, angry degrees. As new backs would not know subsequently other tasks. Tight capital teams used to go perhaps essential, pos	Books	science	4.12	1493.25	0.47
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-AAAAAAAAOOBCAAAA	Formerly huge doubts raise alone periods. Soon appropriate winners avoid quite. Concerns arouse even old, christian groups. Less	Books	science	4.05	1392.02	0.44
-AAAAAAAAPFACAAAA	Twice part-time songs will end certainly free charges. Schools would make particularly terms; more fresh services change too. Books may secure in order artists; students should look right tired at	Books	science	5.32	8424.73	2.66
-AAAAAAAAAAGCAAAA	Longer other prices give here old examples. Much silent police might go including a perceptions. Early, new programmes promote too for a laws. Actors should not speak as relationships. Children cou	Books	self-help	6.28	8151.64	3.11
-AAAAAAAAAGGBAAAA	Totally individual patients examine. New, appropriate things lik	Books	self-help	2.49	11352.14	4.33
-AAAAAAAAAIMCAAAA	Planned, principal months could play excellent, immediate ideas. Little, hostile services will not react slowly by a features. R	Books	self-help	6.76	2320.04	0.88
-AAAAAAAABJAAAAAA	Members begin together industrial, re	Books	self-help	59.77	5535.05	2.11
-AAAAAAAACCFEAAAA	Lightly right	Books	self-help	7.86	4806.98	1.83
-AAAAAAAACCPBAAAA	Much correct benefits might allow in the teachers. Official, external states can pur	Books	self-help	9.06	951.12	0.36
-AAAAAAAACHODAAAA	Successful jobs 	Books	self-help	9.97	7320.40	2.79
-AAAAAAAACIKCAAAA	Refugees rise then expert, orange boys. Young 	Books	self-help	5.17	5423.53	2.07
-AAAAAAAACKIAAAAA	Also important gardens reflect above samples. Geographical protests date quite; brothers used to go pretty by a ma	Books	self-help	0.99	1601.26	0.61
-AAAAAAAACLCBAAAA	Old inches may not become just. T	Books	self-help	3.53	2412.06	0.92
-AAAAAAAADJHDAAAA	Har	Books	self-help	0.70	26516.21	10.13
-AAAAAAAAEDDBAAAA	Chemicals circumvent only other police. Leading, strong groups make respectively gently great events. Immediat	Books	self-help	1.97	1633.85	0.62
-AAAAAAAAEEIAAAAA	Democratic, american days damage still employers. Able banks could suggest full-time elements; daughters care minister	Books	self-help	2.04	11253.33	4.30
-AAAAAAAAEMGAAAAA	Decent times will exist increasingly. Hospitals stand medical tears; families cover years. Foreign firms would	Books	self-help	27.81	8404.59	3.21
-AAAAAAAAEONBAAAA	Either sudden centuries will not grant even historica	Books	self-help	4.55	3517.78	1.34
-AAAAAAAAEPCBAAAA	Patient services will find also developing, social developers. Othe	Books	self-help	0.55	6777.46	2.59
-AAAAAAAAEPNDAAAA	Actual incidents improve never terrible, gentle factors. Impatie	Books	self-help	2.63	3057.90	1.16
-AAAAAAAAFAIDAAAA	Ready, sound players may not handle together with a	Books	self-help	1.75	4766.37	1.82
-AAAAAAAAFGCAAAAA	At last involved stages look sharply allies. Ini	Books	self-help	1.89	15499.32	5.92
-AAAAAAAAGEHCAAAA	Somehow new conditions start more particularly sexual words; most british men may mask very constant, discipli	Books	self-help	2.01	5956.08	2.27
-AAAAAAAAHKOAAAAA	Physically natural times used to improve models. Significantly close years ought to build ahead linguistic habi	Books	self-help	0.27	3915.38	1.49
-AAAAAAAAIACBAAAA	Deaths provide corresponding expenses. Days must publish. Mental, private ma	Books	self-help	1.77	5453.88	2.08
-AAAAAAAAIAIAAAAA	Aware, public materials can supply for a firms. Delicious sets should move hence in a kids. Nuclear, able sessions may 	Books	self-help	59.67	2282.96	0.87
-AAAAAAAAICMBAAAA	Neatly hard theories turn by the females. Only fresh facilities should feed nicely. Simi	Books	self-help	74.30	12154.56	4.64
-AAAAAAAAIMDDAAAA	Mad, positive circumstances find keen teams. Years account to a efforts. Upper maps would govern additio	Books	self-help	3.75	1750.60	0.66
-AAAAAAAAIMOBAAAA	Easily dry communities meet much harsh tears. Heavy minutes damage members. Industrial securiti	Books	self-help	6.81	7851.96	3.00
-AAAAAAAAIOJBAAAA	Good, closed languages include b	Books	self-help	6.42	6489.64	2.48
-AAAAAAAAJHAAAAAA	Alre	Books	self-help	38.79	1662.56	0.63
-AAAAAAAAKGEAAAAA	There possible efforts might bring yet brief, kind days. Oddly white dangers could like maximum things. Hours might 	Books	self-help	9.23	7579.90	2.89
-AAAAAAAALCFEAAAA	Concerned inhabitants study additionally modern miles. Sanctions miss interesting, other records; possible, great police lead on a eyes. Years kill howev	Books	self-help	0.70	2328.38	0.88
-AAAAAAAAMAKDAAAA	Then available arms should generate by a mac	Books	self-help	5.54	662.06	0.25
-AAAAAAAAMBOBAAAA	Details could argue; high sales should not 	Books	self-help	3.55	1876.62	0.71
-AAAAAAAAMFOBAAAA	Reliable, free miles may speak dates. Managers explain else. Alone short police raise up to periods. Books can invest serious months. Thinking, followi	Books	self-help	6.59	1671.12	0.63
-AAAAAAAAMGHBAAAA	Total, bad lines shall not bring in a weeks; healthy, pub	Books	self-help	9.14	18821.34	7.19
-AAAAAAAAMPBAAAAA	Able, strong pictures understand especially. Similar years feed sometimes close, bri	Books	self-help	2.94	700.56	0.26
-AAAAAAAAMPKBAAAA	Countries may tell major, dangerous rules. French offers make here at a terms. Less new doctors go patients. Level countries may not examine also large teachers; once scientific men coul	Books	self-help	8.61	1824.96	0.69
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-AAAAAAAANBEBAAAA	Social, mi	Books	self-help	2.25	2221.27	0.84
-AAAAAAAANLPBAAAA	Western attitudes play more general, blue trains; current women watch still expert ways; very royal amounts cannot get so capi	Books	self-help	9.20	4206.70	1.60
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-AAAAAAAANPJAAAAA	International, important addresses earn now associations. Well vast developments encourage all in a cases. Social arms lose things. Strong shoulders will earn s	Books	self-help	3.28	4656.50	1.77
-AAAAAAAAOGEBAAAA	Free businessmen cause too basic, nice ideas. Great paintings used to advise now clothes; feelings shall occur just positive, assistant others. L	Books	self-help	5.85	6257.72	2.39
-AAAAAAAAOIDBAAAA	Local findings should give local quarters. Perfect, other museums run clearly famous images. Courses believe soft	Books	self-help	1.77	150.48	0.05
-AAAAAAAAOPADAAAA	Right futures announce to a decisions; immense, structural shoulders make italian, gold conditions. Activities roam mo	Books	self-help	2.80	4833.26	1.84
-AAAAAAAAPFGCAAAA	Now total stations prefer anywhere more imperial times. Particular, international years carry as to a criteria. Qualifications determine with a others. Villages shall not go directly versio	Books	self-help	2.43	1993.64	0.76
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-AAAAAAAAAEJBAAAA	European deals should suppress then full boots; then dead prayers must emphasize just; children will feel high satisfactory troops. Elections overcome as well busy years. 	Books	sports	79.77	859.18	0.27
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-AAAAAAAAEKADAAAA	Happily good children maintain now classes. Political, old years see houses; of course new standards may find so sorry sounds; also 	Books	travel	8.48	82.56	0.03
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-AAAAAAAAKHIBAAAA	Fundamental, other studies buy formerly from a services. Psyc	Books	travel	2.63	8951.26	3.81
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-AAAAAAAALBLCAAAA	Occasions can view so customers. Likely hospitals jo	Books	travel	74.97	9371.91	3.99
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-AAAAAAAALFGAAAAA	Bc able groups shall vote 	Books	travel	3.95	177.00	0.07
-AAAAAAAALLOBAAAA	Obvious problems may find 	Books	travel	4.50	215.85	0.09
-AAAAAAAAMEAAAAAA	Around single relations clear heavily over a controls. Arms could leave signs. T	Books	travel	3.84	307.82	0.13
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-AAAAAAAAOMEBAAAA	Students cannot teach only shares. Common, logical results might not 	Books	travel	0.32	9079.44	3.86
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-AAAAAAAABBGCAAAA	About existing results ensure as foreign so	Home	accent	15.86	12892.82	4.16
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-AAAAAAAAKKMDAAAA	Co	Home	accent	2.71	26367.53	8.52
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-AAAAAAAANPPAAAAA	Tears	Home	accent	2.49	3654.39	1.18
-AAAAAAAAOCKAAAAA	Annual theories will not sleep particular colleagues. Inherent trees put partners. Other layers place there backs. Effects would know often for an guns. Certain, bitter	Home	accent	4.28	6407.51	2.07
-AAAAAAAAOCMDAAAA	Issues will give. Even executive differences discover somewhere high, recent days. Doors may not save then members. 	Home	accent	3.45	33.60	0.01
-AAAAAAAAODACAAAA	However wild beliefs	Home	accent	3.91	1519.68	0.49
-AAAAAAAAODGCAAAA	Bizarre, national goods pass in the police. Isolated colours use always prices. Also creative patients say even in the numbers. Proposed brothers find services. Crazy, whole aspects woul	Home	accent	54.41	1246.75	0.40
-AAAAAAAAOJECAAAA	British regulations will block at all improvements; visual, managerial assumptions should examine in a fears. Effects become sensitive firms	Home	accent	9.88	6406.20	2.07
-AAAAAAAAOLDAAAAA	Sales know in a meanings. International, professional figures may get in a statement	Home	accent	0.48	3425.24	1.10
-AAAAAAAAOOBDAAAA	Green, low houses must not explain in a rules; other miles reduce beautiful, successfu	Home	accent	47.64	2569.26	0.83
-AAAAAAAAOOKDAAAA	Real, human elections find auditors. Black employees would comply. Bad eyes sell recent lines. Obvious issues describe	Home	accent	7.40	2663.84	0.86
-AAAAAAAAPAKAAAAA	Unique developments should guess once at the assumptions. Letters might not provide especially 	Home	accent	4.38	7861.02	2.54
-AAAAAAAAPBMAAAAA	Yea	Home	accent	1.36	8742.72	2.82
-AAAAAAAAACFDAAAA	British, familiar cups sho	Home	bathroom	97.01	7038.84	2.38
-AAAAAAAAADEAAAAA	Days stick fairly big, integrated women. Much other fortunes ought to work so to the losses. Subsidies take 	Home	bathroom	2.57	1134.78	0.38
-AAAAAAAAAGODAAAA	Following rows might not ring real differences. Afraid children must ensure. Generous, large sheets tell there before 	Home	bathroom	0.54	12924.86	4.38
-AAAAAAAAAMFCAAAA	Permanent, horizontal workers tell bad in a concepts. Indeed familiar parents should make under a researchers. Trees ought to get surely now sound soldiers. Negotiations will talk 	Home	bathroom	4.19	4566.20	1.54
-AAAAAAAAAOLDAAAA	Certain individuals shall race safely cruelly necessary terms; young, high guns take to a hands. Vali	Home	bathroom	2.84	5911.80	2.00
-AAAAAAAACAPDAAAA	So other firms come shortly; domestic liabilities used to absorb years. Awful days emp	Home	bathroom	3.62	3184.35	1.08
-AAAAAAAACBNDAAAA	Much legal restaurants explain once provincial magistrates. Possible hours betray enough to a computers. Stable, massive services comply blindly full, local women. Scottish firms 	Home	bathroom	2.79	378.96	0.12
-AAAAAAAACDOBAAAA	British, possible solicitors fall still in a indians. Perfect names should not cost still. Redundant, mild opponents give just military specialists. Here great 	Home	bathroom	0.10	16765.16	5.68
-AAAAAAAACEFDAAAA	Ago total goods see similar organizations. Explicitly old regions adapt together. Here p	Home	bathroom	8.40	1624.14	0.55
-AAAAAAAACJJCAAAA	Men would not welcome sure very rem	Home	bathroom	60.55	2769.05	0.93
-AAAAAAAACLICAAAA	American, other activities lower often rational services; collections exist. Competent reasons ough	Home	bathroom	2.42	5276.67	1.78
-AAAAAAAAEGCCAAAA	Still corporate departments make pressures. Workers shall not last much out of a walls. Successful ideas snap. Public candidates shall tell. Human, entire prob	Home	bathroom	4.43	4350.04	1.47
-AAAAAAAAEIACAAAA	Other, slim days try 	Home	bathroom	6.22	8619.01	2.92
-AAAAAAAAEIMCAAAA	Particularly new cases join. Military, christian eyes lead widely suspicious players; finally special beings shall date at a trees; narrow aspects 	Home	bathroom	9.61	2207.52	0.74
-AAAAAAAAFABEAAAA	Houses design	Home	bathroom	4.80	6543.35	2.21
-AAAAAAAAFDEEAAAA	Feelings sleep at a details. Also competitive devices shall object early in every sales. Almost other ways offer once free tools. Significant, german sheets keep hardl	Home	bathroom	7.15	8001.07	2.71
-AAAAAAAAFGFDAAAA	Ec	Home	bathroom	4.86	4935.12	1.67
-AAAAAAAAFGGCAAAA	As territorial fingers develop then humans. Industries put then extra, anxious pairs. Letters give of course voluntary, central times. Committees join thus. Areas produce so long gold eyes. Taxes c	Home	bathroom	36.14	16986.96	5.76
-AAAAAAAAFHDBAAAA	Then christian rules should take here new choices; hard, pale changes avoid sections. Now main metres can need necessarily in spite of a stories; late colours keep now into the charts. Seque	Home	bathroom	3.59	12017.36	4.07
-AAAAAAAAGFFDAAAA	Horizontal nerves will not study just. Issues shall not imagine workshops. Relevant industries provide british, fresh others. Commercial, new houses give with the 	Home	bathroom	3.34	2802.39	0.95
-AAAAAAAAGHLCAAAA	Clients must not feel also ever private cars; names think. Concerned meals used to go still chapters; remarkable, minimal terms get at first. Obvious articles must 	Home	bathroom	0.71	2655.54	0.90
-AAAAAAAAGIMCAAAA	Traditional times buy on a operations. Clear, ne	Home	bathroom	9.63	3165.58	1.07
-AAAAAAAAGLFBAAAA	Claims choose rarely too armed differences. Personal, wise goods build ill n	Home	bathroom	1.06	5867.34	1.98
-AAAAAAAAGPMCAAAA	Almost central words will take. International pupils see manufacturing boxes. Possible positions might hold magistrates; duties exert strong fields. Neverthele	Home	bathroom	0.90	4567.64	1.54
-AAAAAAAAHBFAAAAA	Dollars prove everywhere o	Home	bathroom	7.89	4037.25	1.36
-AAAAAAAAHKBEAAAA	Significant, fa	Home	bathroom	4.86	2662.40	0.90
-AAAAAAAAIBMCAAAA	Literally experienced women le	Home	bathroom	3.83	3405.70	1.15
-AAAAAAAAIHDCAAAA	Adverse, early members build only small numbers. Head feet must sink profitable books. Friends kick thus in a jobs. Little, complicated departments 	Home	bathroom	0.58	4116.92	1.39
-AAAAAAAAIHEDAAAA	Northern, possible courses would admit. National arms conduct times. Attractive, operational comparisons worry studies. At leas	Home	bathroom	6.98	2665.61	0.90
-AAAAAAAAIHIAAAAA	Economic things determine. However overseas teachers listen clearly by a types; signs telephone probably. Environmental ty	Home	bathroom	16.26	9591.84	3.25
-AAAAAAAAIJFBAAAA	Once more parliamentary sizes separate fairly executive movements. Positive years would get there open units; left governments used to show new police. 	Home	bathroom	2.74	28245.68	9.57
-AAAAAAAAJBPDAAAA	Supplies accept; below inc spirits know at least correct, chief policies; grants used to stay by a words; basic, public differences use centrally then strange policies; adeq	Home	bathroom	4.13	10306.89	3.49
-AAAAAAAAJMDEAAAA	Home warm authorities might recognise overseas. Easy, adequate processes could address about well local styles. Ministers will take. Obviou	Home	bathroom	8.75	2112.25	0.71
-AAAAAAAAKDGBAAAA	Possibly environmental links must hurt faster bright, cultural lovers. Rooms could	Home	bathroom	2.09	10205.43	3.46
-AAAAAAAAKDKAAAAA	Free, different divisions ought to see more whole terms. So substantial schools will measure others. British classes consider though dishes. Pupils mount. Ugly, economic schemes cannot erect 	Home	bathroom	4.43	10794.90	3.66
-AAAAAAAAKFKDAAAA	Free, expensive rivers can mind. Jobs change otherwise charming issues. Children cannot look generally careers; reforms take into a blacks. Aware, attractive grounds will add as yet econom	Home	bathroom	30.34	8803.45	2.98
-AAAAAAAAMFADAAAA	New, poor friends should not remember lines. Generally present techniques will not damage then good problems. Names remove as true questions. Outstanding subjects would reflect tonight	Home	bathroom	60.22	11422.92	3.87
-AAAAAAAAMMNBAAAA	Years	Home	bathroom	0.97	10497.66	3.56
-AAAAAAAAMPHAAAAA	Payments appear forces. New proceedings pursue at least financial, current angles. Remarkable, main documents comply unusual, solid aspects. Wrong, just films ask different, l	Home	bathroom	9.49	2156.36	0.73
-AAAAAAAAMPJBAAAA	Present, dangerous courts might send 	Home	bathroom	1.93	158.10	0.05
-AAAAAAAANEODAAAA	Single, successive birds involve really in a poets. Various, public colours build over. Level, grey troops relax average, sensible clergy. Proud authorities read prayers. Stores may shoo	Home	bathroom	6.65	5152.04	1.74
-AAAAAAAAOBHDAAAA	Large shares die rather. Members produce aside plans; muscles should not say earnings. Mammals know there somewhat major situations. Ever private countries should try gates. Workers impro	Home	bathroom	3.09	6633.12	2.24
-AAAAAAAAOJGCAAAA	Cases produce always developments. Genuine facilities would give away weeks. Rows can concentrate maximum hills. Romant	Home	bathroom	4.31	4796.88	1.62
-AAAAAAAAONBDAAAA	Old, national lessons seek more spanish worlds. Nights apply here 	Home	bathroom	9.64	2068.56	0.70
-AAAAAAAAONJCAAAA	Especially other parts could make over blank choices; subjects constrain only social, new respects. Brown, particular reports m	Home	bathroom	6.82	1031.11	0.34
-AAAAAAAAOPFEAAAA	Heavy, recent decades think finally. Outstanding, average det	Home	bathroom	3.45	2515.92	0.85
-AAAAAAAAPOKBAAAA	Chemical, elegant influences should pray certainly with a mo	Home	bathroom	6.10	7169.30	2.43
-AAAAAAAAAABDAAAA	Good, other flats forget literally physical years. Indeed complete sales shall not	Home	bedding	4.98	287.08	0.08
-AAAAAAAAACIAAAAA	Original, active users might draw for a associatio	Home	bedding	2.36	13079.50	3.81
-AAAAAAAAAHNAAAAA	Moreover social skills may go more long responses. Following eve	Home	bedding	7.54	5852.19	1.70
-AAAAAAAAAMLDAAAA	Yellow, important supplies will not take; more safe months would go here almost disabled hands. Blocks would com	Home	bedding	6.59	4985.94	1.45
-AAAAAAAAANJBAAAA	New writers understand final restaura	Home	bedding	4.74	716.55	0.20
-AAAAAAAAAOGAAAAA	Foreign, good things must get eyes. Low, thin members must rest. International looks allow. Senses should not touch. Limited, single backs would not walk opportunities; high	Home	bedding	3.51	9085.72	2.65
-AAAAAAAABAKCAAAA	Teams waste very back children. Wide, private years might help cells. Heavy,	Home	bedding	0.57	853.76	0.24
-AAAAAAAACFNDAAAA	Independent premises could not demonstrate then perhaps white users; democratic risks regain good provi	Home	bedding	2.83	1429.78	0.41
-AAAAAAAACHKDAAAA	Unlikely costs should risk low whole, new officials. Other eyes carry in the students. Main, lovely feelings must not allow	Home	bedding	4.66	13345.14	3.89
-AAAAAAAACOBCAAAA	Proper effects could not seem much royal others. Loyal transactions will replace legal, identical days. At	Home	bedding	0.91	675.45	0.19
-AAAAAAAADACCAAAA	Reduced connections will justify at the users. Easy, human girls can stay further dead, various shares. Big, french	Home	bedding	16.50	200.43	0.05
-AAAAAAAADBFBAAAA	Members shall not notice drastically in a standards. Concerned yea	Home	bedding	3.22	3565.45	1.04
-AAAAAAAADJMBAAAA	Young categories look grossly so colourfu	Home	bedding	3.36	2588.53	0.75
-AAAAAAAAEBGDAAAA	Main, due rooms would come fairly likely, relevant cattle; players avoid otherwise eyes. Fans will not ban potentially. Literally religious peasants can endeavou	Home	bedding	1.82	12041.40	3.51
-AAAAAAAAEHLDAAAA	Obvious, afraid poli	Home	bedding	4.05	2309.36	0.67
-AAAAAAAAEKDAAAAA	Now short views cannot include. Real, northern interests may build. Fresh	Home	bedding	1.78	31671.89	9.24
-AAAAAAAAEMLCAAAA	Only familiar shareholders could ensure very military electoral needs. Troubles imagine at fi	Home	bedding	0.84	2210.61	0.64
-AAAAAAAAEOKDAAAA	Almost subject men could add more huge, current customers. Major colours 	Home	bedding	0.22	4921.66	1.43
-AAAAAAAAFFCEAAAA	Imports must communicate on a women. Level difficulties c	Home	bedding	3.93	1444.56	0.42
-AAAAAAAAFIKCAAAA	Masters help in terms of the hours. Still different details used to find always long black savings. Now free shares demonstrate behind. Extended, empty sentences ask ago 	Home	bedding	9.52	7353.86	2.14
-AAAAAAAAFOFEAAAA	Symbolic cells would generate branches. Relations might find potentially; central, loyal 	Home	bedding	7.39	5503.24	1.60
-AAAAAAAAGHNAAAAA	Atomic pp. might disappear as. Figures discuss men. Specific, local rivers might replace eyes. Safe cars take final services; old troops	Home	bedding	6.29	\N	\N
-AAAAAAAAGNNCAAAA	Voters learn both young arms. Victims need less however front cases; shapes can cover	Home	bedding	5.46	0.00	0.00
-AAAAAAAAHGDDAAAA	Terms used to comprehend to a things. Really busy competitors stop women. Normally certain libraries remain considerably from a centres. Glad countries cannot try together groups. There powerful	Home	bedding	4.30	6885.82	2.00
-AAAAAAAAHHCAAAAA	Old, cultural workers ought to take both now everyday budgets. Nearer interesting hours could not assure very centuries	Home	bedding	1.65	6096.81	1.77
-AAAAAAAAIJCEAAAA	Patients stand still respective possibilities	Home	bedding	2.66	7777.47	2.26
-AAAAAAAAIOECAAAA	Ag	Home	bedding	8.22	3885.84	1.13
-AAAAAAAAJEECAAAA	Children used to mean contracts. Difficult runs spot here. Aspects ought to take unfortunately prepared women. Groups believe very public patients. Low terms must stop as different, political cou	Home	bedding	4.94	9167.85	2.67
-AAAAAAAAJINBAAAA	That central men know independent authorities. Just new rights can make only such as a companies. Studies can stay a	Home	bedding	9.89	8831.14	2.57
-AAAAAAAAJKPDAAAA	Now recent feelings skip particularly clear	Home	bedding	9.34	3697.23	1.07
-AAAAAAAAJNJAAAAA	Places take rules. For example scientific buildings may not maintain notably developers. Prime, other heads limit marginal places. Good, part-tim	Home	bedding	9.77	11273.10	3.28
-AAAAAAAAJOEEAAAA	Acute seasons thank alternative, early pages. Full variations can enter problems. Central stories shall give complete servants. Common ston	Home	bedding	7.38	850.85	0.24
-AAAAAAAAJPKDAAAA	Recent 	Home	bedding	0.35	256.88	0.07
-AAAAAAAAKCCCAAAA	English, western services may not place less separate, new injuries. Wings might not refine. M	Home	bedding	0.73	10543.56	3.07
-AAAAAAAAKFABAAAA	Significantly simple rules could face especially lively, popular employers. Days catc	Home	bedding	1.96	2465.30	0.71
-AAAAAAAAKGJDAAAA	Contracts explain so possible, basic rooms; problems can think then	Home	bedding	4.07	588.50	0.17
-AAAAAAAAKIDBAAAA	Holidays may attract local days. Low, sympathetic teachers might not provide especially resources. Soviet matt	Home	bedding	2.12	7518.47	2.19
-AAAAAAAAKIIAAAAA	For example new children shall take general jobs. British, proposed government	Home	bedding	5.52	1309.50	0.38
-AAAAAAAALGBEAAAA	Inland memories c	Home	bedding	9.31	21344.75	6.22
-AAAAAAAALMJCAAAA	Beautiful incomes could not spread apart wooden talks. Hopefully short individuals might say stil	Home	bedding	4.48	3857.71	1.12
-AAAAAAAALMODAAAA	Aside smooth secrets would come both. Suddenly big officials can pay too problems; programmes seem. Unable times play. Very indian failures use s	Home	bedding	3.03	10438.54	3.04
-AAAAAAAALPKBAAAA	Inappropriate, chief systems would not help in a offices; dangerous proportions might ins	Home	bedding	3.08	2512.57	0.73
-AAAAAAAALPLDAAAA	Quite annual missiles refute later years; as dead materials include smoothly examples. Major, independent standards could not mean extra, young points. Different coloni	Home	bedding	3.06	6846.62	1.99
-AAAAAAAAMDFAAAAA	Black, old things prove. Even rural businesses used to control really from the decisions; strange colle	Home	bedding	1.79	6272.59	1.83
-AAAAAAAAMDMBAAAA	Easier ashamed implications will care. Exceptional men must not enjoy social, rural deposits. Upw	Home	bedding	3.79	3998.23	1.16
-AAAAAAAAMIGDAAAA	Then brief plants use fair, white women; outer, long prop	Home	bedding	40.09	6619.96	1.93
-AAAAAAAAMIIDAAAA	Slim characters will take common, psychological features. Reasons think economically. Good, geographical parties throw committees. Southern costs increa	Home	bedding	3.04	12366.48	3.60
-AAAAAAAAMNFEAAAA	Only public results become by a days; concerned, dead sales lose confidently from a ar	Home	bedding	87.43	406.77	0.11
-AAAAAAAAMPFAAAAA	Clear artists stay so that is limited causes; innocent, unusual claims make to a horses. Concerns will see almost in a centres. Seriously great maste	Home	bedding	79.19	7613.70	2.22
-AAAAAAAANFCCAAAA	Companies would protect greatly firms. Exceptions disagree highly; wrong difficulties put once aga	Home	bedding	2.22	32.96	0.00
-AAAAAAAANJMAAAAA	Minutes find by a others. Then new firms	Home	bedding	3.93	2304.48	0.67
-AAAAAAAANMADAAAA	Things help usually. Policemen get strong rivals. Powers wait. Public police would file today nuclear users. Public, able indicators must perform however beside a conditions. V	Home	bedding	6.93	4421.67	1.29
-AAAAAAAAOAFBAAAA	Upper windows can hurt high, able corners. Applicants shrink once trying trees. About other hands settle too other eyes. Suddenly major d	Home	bedding	0.31	7105.12	2.07
-AAAAAAAAODKCAAAA	Almost critical firms ought to encourage previously meetings. Also british reports come even nice beans. Free children change over hostile limitations. De	Home	bedding	8.26	2360.40	0.68
-AAAAAAAAOELAAAAA	Competitors improve obviously as political police. By now new prisoners may arrive by a strings. Natural, short-term associations reduce so new cha	Home	bedding	7.55	2213.70	0.64
-AAAAAAAAOPEBAAAA	Nonetheless united materials talk individuals; inc, effec	Home	bedding	5.48	13117.60	3.82
-AAAAAAAAPDGBAAAA	Mistakes preserve there impossible, new customers. Also french vegetables ought to decide possible others. Just young girls administer individual disputes. Extensive, 	Home	bedding	7.59	1828.67	0.53
-AAAAAAAAPMAEAAAA	Great, political methods adapt in a characters. Slowly different cases fight	Home	bedding	0.81	12963.87	3.78
-AAAAAAAAPMMBAAAA	Important, tall responsibilities may not operate rather exact, empty folk. Numbers dump political teachers. L	Home	bedding	7.70	3145.81	0.91
-AAAAAAAAPOODAAAA	Presidential, open books shall not recognize merely fair styles. Signs check most happy, similar rules. Fat demands must see blac	Home	bedding	6.91	5718.24	1.66
-AAAAAAAAAAHBAAAA	Od	Home	blinds/shades	6.56	5059.48	3.37
-AAAAAAAAAGIAAAAA	Debts may react birds. Officials will establish e	Home	blinds/shades	2.48	6200.00	4.13
-AAAAAAAAAPLDAAAA	Times would miss low, national methods. Versions stick real partners; sports characterize spatial, upper grounds. Values might reveal togeth	Home	blinds/shades	1.46	3060.81	2.03
-AAAAAAAABAPDAAAA	Slightly delightful schools could decide about annually large boxes; now young pubs shall not escape perhaps horrible consciou	Home	blinds/shades	1.01	723.52	0.48
-AAAAAAAACAFAAAAA	Catholic, favorite interests may decide agents. Extraordinary office	Home	blinds/shades	29.09	4414.19	2.94
-AAAAAAAACBODAAAA	Hospitals lose. Able children smoke still in the earnings. Central cases	Home	blinds/shades	0.86	1092.00	0.72
-AAAAAAAACIOCAAAA	Rich powers can look in a reports. Also new towns must read just. Now likely sets help somewhat into a architects. Married, extensive views pay assessments; months lift briti	Home	blinds/shades	2.30	1526.88	1.01
-AAAAAAAADHHCAAAA	Holes ought to offer much severe, suitable ministers. For example independent steps pick approximately huge relations. Alone, available boats might express in a years; level pati	Home	blinds/shades	5.70	6285.37	4.18
-AAAAAAAADOFAAAAA	Both early efforts must dispose simply on a men. Real workshops say properly from a possibiliti	Home	blinds/shades	2.08	204.98	0.13
-AAAAAAAAEDGEAAAA	Never japanese miners put afraid rates; requirements must not arise seriously there double comments. Free years will not identify in order prime winners; services used to displace today o	Home	blinds/shades	1.72	2001.48	1.33
-AAAAAAAAEHLAAAAA	Pretty bloody countr	Home	blinds/shades	6.45	\N	\N
-AAAAAAAAEJAEAAAA	Labour powers might not explain slightly basic students. Dealers become too for the opponents. Likely, civil stations cannot improve now able, glorious problems. Other phases should make greatly in a	Home	blinds/shades	1.45	5161.66	3.43
-AAAAAAAAEJEDAAAA	Once financial years fight totally now financial skills. Significant, crazy provisions feel into a railways. So-called jobs land only supplies. Re	Home	blinds/shades	8.79	3453.90	2.30
-AAAAAAAAEJGAAAAA	Careful houses put right odds. Open, unchanged examples must light well things. Once great days enter even weakly medium routes. Old-fashioned, economic implications try. Ever left courts decide dev	Home	blinds/shades	5.49	9325.30	6.21
-AAAAAAAAELODAAAA	Sure russian critics require usually groups. Strong, difficult balls get thus base men. So cold shares sati	Home	blinds/shades	9.75	101.44	0.06
-AAAAAAAAEMBCAAAA	Right areas tell off the events. Dangerous, other loans might not investigate small children. Large offices might happen right. Static, new expressions used to de	Home	blinds/shades	6.39	10684.04	7.12
-AAAAAAAAEODCAAAA	Terribly necessary systems take other, difficult improvements. Effective, simple places make at all. Minds might 	Home	blinds/shades	9.60	5538.64	3.69
-AAAAAAAAEPBDAAAA	Private, average clouds yield political, alive runs. Finally interested creatures might rescue. Public years want recently wild figures. Simply economic products should hit as.	Home	blinds/shades	8.38	424.86	0.28
-AAAAAAAAFDNBAAAA	Large, necessary companies make delib	Home	blinds/shades	1.37	1922.85	1.28
-AAAAAAAAFOAAAAAA	Pink, continuous courts solve inevitably short future problems. Broad plans pass as a drawings. Only bad negotiations come	Home	blinds/shades	3.20	3191.29	2.12
-AAAAAAAAGHDAAAAA	In common academic pupils know highly joint sites. Twin, safe methods introduce most possible others; times fall most effects. Highest parliamentary performances used 	Home	blinds/shades	6.97	7080.17	4.71
-AAAAAAAAHMNCAAAA	As great eyes ought to talk then. Natural drawings shall not generate to a hands. Artistic seconds 	Home	blinds/shades	9.23	9100.70	6.06
-AAAAAAAAIDECAAAA	Late levels move statutory, level offices. Golden, classic trees treat little including a patients. Ideas grab actual	Home	blinds/shades	43.01	4326.30	2.88
-AAAAAAAAIDNBAAAA	Expensive reasons shall not carry hardly ri	Home	blinds/shades	4.59	3511.94	2.34
-AAAAAAAAIJFAAAAA	Nice things would coincide still satisfactory students. Now oth	Home	blinds/shades	1.08	110.32	0.07
-AAAAAAAAILGBAAAA	Offices would dare then 	Home	blinds/shades	4.39	2524.07	1.68
-AAAAAAAAILKDAAAA	High, real differences continue. Relatively electronic yards find for a months. Anyw	Home	blinds/shades	6.11	3081.74	2.05
-AAAAAAAAIPLBAAAA	And so on hot trends pick really even initial concerns. Arrang	Home	blinds/shades	16.14	3705.24	2.46
-AAAAAAAAJOIDAAAA	Incredi	Home	blinds/shades	0.22	10710.19	7.13
-AAAAAAAAKHBBAAAA	Specific, slow notes prevent now then oral parts. Serious, curren	Home	blinds/shades	3.17	4152.79	2.76
-AAAAAAAAKHJCAAAA	Famous tourists will make. Sensible, potential teams lead armed, democratic types. Social, growing recommendations get in 	Home	blinds/shades	1.26	1094.76	0.72
-AAAAAAAAKJKAAAAA	Certain pensions lay therefore. Then fair tears occur ago. Directors used to respect more others. Direct clothes must guarantee environmental traders. Later rich developments would know. Total, incre	Home	blinds/shades	9.90	1984.43	1.32
-AAAAAAAALBNDAAAA	Demanding, aware studies should keep consequently for a increases. Definitions mak	Home	blinds/shades	2.90	6887.57	4.59
-AAAAAAAAMCECAAAA	Large students may not show simply nuclear countries. Kee	Home	blinds/shades	61.63	2191.94	1.46
-AAAAAAAAMDPBAAAA	Also personal or	Home	blinds/shades	0.14	5675.53	3.78
-AAAAAAAAMNKAAAAA	Payments mean there at a spots. At all bottom hands implement predominantly to a conditions. Stones enrich twice important members. Mere	Home	blinds/shades	0.49	4464.69	2.97
-AAAAAAAANGNCAAAA	Young, british parents can recall a	Home	blinds/shades	5.24	2375.74	1.58
-AAAAAAAAOPEEAAAA	Terrible years see also yesterday 	Home	blinds/shades	44.30	4475.81	2.98
-AAAAAAAAPOCAAAAA	Bishops could confirm; rates rot very pp.. Prisoners will want old countries. Too po	Home	blinds/shades	3.71	2227.12	1.48
-AAAAAAAAACAAAAAA	Different numbers might not visit; rights used to remember. Labour students must put as slowly possible children. Never	Home	curtains/drapes	1.77	11032.09	3.39
-AAAAAAAAAEJAAAAA	Important relationships want. Questions might not make papers. Panels end. 	Home	curtains/drapes	5.31	9566.60	2.94
-AAAAAAAAAFGDAAAA	Relations give in the services. Lessons perform long savings. Invariably comme	Home	curtains/drapes	9.22	2686.86	0.82
-AAAAAAAAAGEAAAAA	Foreign conditions could not think scientists. Big, applicable jobs could not perform social, high profits. Even young orde	Home	curtains/drapes	7.02	11788.96	3.62
-AAAAAAAAAIAAAAAA	Wrong limits could not accompany now perhaps lonely customers. Anxious, neighbouring principles might arise molecules. Useful, short nerves think advantages. Angry, parental prices fly t	Home	curtains/drapes	4.06	174.00	0.05
-AAAAAAAAAILDAAAA	Thirdly christian fragments shave very well large structures. Young, coming attitudes may i	Home	curtains/drapes	9.17	2029.52	0.62
-AAAAAAAAALDDAAAA	Just social temperatures should like english networks. Together financial collections must 	Home	curtains/drapes	6.24	10260.73	3.15
-AAAAAAAACCPAAAAA	Still old sides keep really save for a police. Big, foreign things enable. Other children illustrate distinct, distingui	Home	curtains/drapes	0.46	418.22	0.12
-AAAAAAAACDCEAAAA	Girls exceed so. Evenings shall not come so american, british shares. Interesting interests mark retail, historic studies; h	Home	curtains/drapes	88.60	6379.60	1.96
-AAAAAAAACGJCAAAA	Social, new members reply stations. Different years can break areas. Never gre	Home	curtains/drapes	3.22	697.21	0.21
-AAAAAAAACMFAAAAA	However remote members talk indeed no longer local costs. Irish plans shou	Home	curtains/drapes	42.98	8275.43	2.54
-AAAAAAAACMLDAAAA	Purposes appear well eyes. Of course possible ways used	Home	curtains/drapes	3.54	2733.76	0.84
-AAAAAAAADBLBAAAA	British, accurate objects move.	Home	curtains/drapes	7.59	9608.16	2.95
-AAAAAAAADCPCAAAA	Men must	Home	curtains/drapes	1.07	5724.65	1.76
-AAAAAAAADHFBAAAA	Accused, black forms would not obtain eventually for a groups. 	Home	curtains/drapes	5.68	39.60	0.01
-AAAAAAAADHJAAAAA	Other, western grounds must save nervously up a boxes. Again local couples ought to fall again industrial boards. True, natural assets would advance extra hills. Underlying 	Home	curtains/drapes	0.49	609.47	0.18
-AAAAAAAAECLAAAAA	Words use up a documents. Collections may	Home	curtains/drapes	3.67	5845.56	1.79
-AAAAAAAAEDJBAAAA	Nuclear cards cannot use. Straight generations hear suddenly. Special charts live seriously directors; either technological offices might not begin more thus double cards. Growing, red entries c	Home	curtains/drapes	65.88	4475.44	1.37
-AAAAAAAAEGCBAAAA	Very long engines may clarify. Other principles could confirm merely good lovers; s	Home	curtains/drapes	63.15	14656.15	4.51
-AAAAAAAAEINDAAAA	German, thin experiences will not contribute. Issues must not explain later again democr	Home	curtains/drapes	0.70	842.00	0.25
-AAAAAAAAEMABAAAA	More original questions might weave very on behalf of the events. Economic standards go at a sheets. Around recent patterns see then actively massive hands. New, social women will	Home	curtains/drapes	6.61	6091.31	1.87
-AAAAAAAAFHFCAAAA	R	Home	curtains/drapes	2.46	14037.99	4.32
-AAAAAAAAFOLBAAAA	So other issues might protect late private friends; still mental suggestions establish in a drugs. Various d	Home	curtains/drapes	2.15	1776.48	0.54
-AAAAAAAAGGCCAAAA	English pictures evolve either to a factors. Detailed, ultimate months manage never mild eyes. High commi	Home	curtains/drapes	5.86	5616.91	1.72
-AAAAAAAAGGHBAAAA	Only difficult children permit also. Ends must up	Home	curtains/drapes	3.77	6772.81	2.08
-AAAAAAAAGJIDAAAA	Strong, other eyes address. Expectations ought to need	Home	curtains/drapes	3.16	1048.21	0.32
-AAAAAAAAGKDAAAAA	More expensive men used to become most current offices. There royal areas shall not study particularly important, remain	Home	curtains/drapes	0.46	1399.75	0.43
-AAAAAAAAGKOCAAAA	Now good walls deal currently physical proceedings. Important buildings swear around 	Home	curtains/drapes	5.54	1416.16	0.43
-AAAAAAAAHEIDAAAA	Ideal talks might not think within the strengths; actions can change probably; names provide later in a jews; busy pr	Home	curtains/drapes	8.79	1369.83	0.42
-AAAAAAAAHJLBAAAA	Even poor women come much acceptable heads. Then similar trees live much circumstances. Then legal hours may walk eastern, simple cases; respectable	Home	curtains/drapes	6.41	3197.32	0.98
-AAAAAAAAIAGAAAAA	Social wor	Home	curtains/drapes	0.79	2324.23	0.71
-AAAAAAAAICDBAAAA	Average, above sentences should not care home years. Reactions come unfortunately full, capable sessions; dom	Home	curtains/drapes	0.61	9928.74	3.05
-AAAAAAAAIEDBAAAA	Questions can dry almost together northern prop	Home	curtains/drapes	0.64	88.09	0.02
-AAAAAAAAIJLBAAAA	Light cases used to prevent always co	Home	curtains/drapes	37.58	692.78	0.21
-AAAAAAAAIKEBAAAA	More running months ought to estab	Home	curtains/drapes	1.24	6584.17	2.02
-AAAAAAAAIKEEAAAA	For example available women enter greatly mental principles. In general crucial hospitals s	Home	curtains/drapes	0.52	13744.05	4.23
-AAAAAAAAIKNBAAAA	Chief payments used to decorate 	Home	curtains/drapes	5.08	150.60	0.04
-AAAAAAAAILCCAAAA	Able, actual men contribute beautiful, national orders. Days get just subsequently useful differences. Generally useful doctors look nations. Heavy minutes celebrate as good te	Home	curtains/drapes	9.69	351.40	0.10
-AAAAAAAAILIBAAAA	Letters bring that is to say primarily local lines; true, necessary metres can talk more regional, regular years; losses spo	Home	curtains/drapes	4.42	2786.07	0.85
-AAAAAAAAIMGCAAAA	However little parties open straightforward months; new judges used t	Home	curtains/drapes	7.23	11205.18	3.44
-AAAAAAAAINFAAAAA	Much trying boys play really seconds. Clear cases cannot stop only so social types. Areas see 	Home	curtains/drapes	5.48	14421.75	4.44
-AAAAAAAAJEKCAAAA	Years win probably after the teams. More possible teachers shall hand	Home	curtains/drapes	7.22	1655.36	0.50
-AAAAAAAAJKOBAAAA	Big, similar lines will give states. Other, whole functions keep carefully. Customers cannot change especially wide origins. Planned police will not 	Home	curtains/drapes	3.05	9781.50	3.01
-AAAAAAAAJLACAAAA	Well tiny gove	Home	curtains/drapes	4.74	566.88	0.17
-AAAAAAAAJLBBAAAA	Courts pay far american towns; more greek circumstances prevent so to a cars; sports read importantly also public lights. Strings grow short large, interesting interests. About good	Home	curtains/drapes	7.06	7550.49	2.32
-AAAAAAAAJPABAAAA	Small, marked museums ought to validate. Ready circles disclose ahead on a months;	Home	curtains/drapes	1.95	3453.85	1.06
-AAAAAAAAKDABAAAA	Social eyes might complete at least customs. Very grea	Home	curtains/drapes	7.73	223.88	0.06
-AAAAAAAAKGCBAAAA	Normal, mental machines take. Real,	Home	curtains/drapes	4.25	3853.74	1.18
-AAAAAAAAKIBEAAAA	Parts see little notes; almost dead spots	Home	curtains/drapes	1.38	495.74	0.15
-AAAAAAAAKIOAAAAA	Western, successful levels 	Home	curtains/drapes	5.31	2693.58	0.82
-AAAAAAAALBEDAAAA	Less tiny farmers help efforts. Fast building	Home	curtains/drapes	3.72	8974.69	2.76
-AAAAAAAALGEEAAAA	More bad titles get. Earlier economic minu	Home	curtains/drapes	3.64	11434.55	3.52
-AAAAAAAALJHBAAAA	Standards could not exploit total communities; extraordinary, young laws go there. Boys must not	Home	curtains/drapes	1.65	4004.65	1.23
-AAAAAAAALNAEAAAA	Vegetables sell of course carefully peaceful proceedings. Necessary revenues should criticise much; public regulations must see mild pr	Home	curtains/drapes	2.81	3392.40	1.04
-AAAAAAAAMCPCAAAA	Isolated times need everywhere uncer	Home	curtains/drapes	1.65	3821.61	1.17
-AAAAAAAAMHMAAAAA	Real, other chiefs may not participate then frequent wives. Names provide figures. Right full workers used to withstand; later complex systems appear	Home	curtains/drapes	8.03	4516.80	1.39
-AAAAAAAAMMBAAAAA	Boys might not work yet then fast clothes. Simply large elements think in a factors. Royal charges happen at least on a children. Holy prospects think individu	Home	curtains/drapes	8.88	11619.39	3.57
-AAAAAAAAMPCDAAAA	Basic circumstances take exactly surpris	Home	curtains/drapes	0.73	11547.45	3.55
-AAAAAAAANEIDAAAA	Relations d	Home	curtains/drapes	8.44	5643.90	1.73
-AAAAAAAAOMCDAAAA	Quietly reliable parties create. Common laws may turn for the details. There potential product	Home	curtains/drapes	7.60	3031.29	0.93
-AAAAAAAAOPFAAAAA	Enough labour days watch to a shops. Residents sharpen now scottish, complete expressions; time and again painful others shall not reduce for a enemies. Images visit bef	Home	curtains/drapes	4.92	31.52	0.00
-AAAAAAAAOPNBAAAA	Special, eligible c	Home	curtains/drapes	2.03	2832.18	0.87
-AAAAAAAAPBECAAAA	Places look; students sell especially. Right black tests make once again	Home	curtains/drapes	2.18	5899.96	1.81
-AAAAAAAAPEMDAAAA	Also black patterns may call other others. Pressures must come so; there young relations can want towards a galleries; new, left services at	Home	curtains/drapes	8.37	716.28	0.22
-AAAAAAAAPILDAAAA	Special matters may not forget a little other drugs. Also possible standards might retain sales. Difficult, small prices forget frequently for a hours. Explicit, true things may exchange modern cases	Home	curtains/drapes	0.66	4223.56	1.30
-AAAAAAAAAILBAAAA	Important functions can offer rather items. Christian ears preserve therefore additional, new foods. Now whole men make only black,	Home	decor	2.76	1548.94	0.54
-AAAAAAAAAOBBAAAA	Normal authorities understand more small expenses; copies 	Home	decor	77.78	9608.31	3.39
-AAAAAAAABJGAAAAA	Radical degrees may hear just. Christian terms disguise quickly rows. Bad, semantic companies want. Clear, perfect dogs please years. Cells sho	Home	decor	2.87	585.32	0.20
-AAAAAAAACFMAAAAA	Appropriate savings approach. Good charges gain. Primary tourists take pretty employees. Following, average arguments ought to matter possibly like women; specialist, black days us	Home	decor	2.97	2589.06	0.91
-AAAAAAAAEDFCAAAA	Decent things borrow well times. H	Home	decor	4.95	23730.54	8.39
-AAAAAAAAEFEBAAAA	Old, personal difficulties shall not exist much terrible governments; in addition likely parties might not go probably wonderful, model uses. Christian, usual influences would tell mo	Home	decor	4.95	4898.94	1.73
-AAAAAAAAEJCCAAAA	English, good complaints ought to counteract past democr	Home	decor	17.77	935.97	0.33
-AAAAAAAAEOAEAAAA	Old, final citizens lose long distinguished conditions. National, little authorities get already; correctly dramatic communities repeat better local, intense months. Even thin years 	Home	decor	0.33	1833.58	0.64
-AAAAAAAAEPIBAAAA	Available	Home	decor	2.19	2145.41	0.75
-AAAAAAAAGBMBAAAA	Only, guilty changes ought to remember just different specimens. Hap	Home	decor	0.24	4264.39	1.50
-AAAAAAAAGDKBAAAA	However pleasant years should imitate as impossible, new districts. Urgent, major residen	Home	decor	8.51	426.86	0.15
-AAAAAAAAGEABAAAA	Similar years should not attribute anyway now combined streets; important, convenient others represent moreover. Appropriate trousers provide more communications. Cultural comments would e	Home	decor	3.01	2268.91	0.80
-AAAAAAAAGEHDAAAA	Emissions will tick social, likely institutions. Specific customs wash still general, financial years. Open nurses could hurt; carefully current troubles must not invest als	Home	decor	4.98	7352.90	2.60
-AAAAAAAAGMJBAAAA	Electronic, protective ties cannot install temporarily opportunities. Likely experiments see so implicit patie	Home	decor	1.08	6818.47	2.41
-AAAAAAAAHAFBAAAA	Ultimate, normal shareholders shall bu	Home	decor	9.07	3846.33	1.36
-AAAAAAAAHMPDAAAA	Black modules reach more in the implications. Almost empty obligations must want broadly for the methods. Figures summarize then. Christian, local men disturb still. Scenes should appear girls. 	Home	decor	4.92	3511.65	1.24
-AAAAAAAAIDNCAAAA	Wonderful servants must not resolve once physical lives. Later significant an	Home	decor	0.33	5327.28	1.88
-AAAAAAAAILFEAAAA	Present, nervous schools look transactions.	Home	decor	4.02	19483.43	6.89
-AAAAAAAAJKDDAAAA	Involunta	Home	decor	6.52	3664.04	1.29
-AAAAAAAAJKLBAAAA	Young, smart dogs vote ever; needs replace; homes must marry just on a residents; 	Home	decor	1.32	6.65	0.00
-AAAAAAAAJNGAAAAA	Boys measure else towns. Advertisements challenge just prominent, local areas; other, singl	Home	decor	4.49	24238.02	8.57
-AAAAAAAAKEMAAAAA	Appropriate disputes shall not strike effectively at a parents. Then ill strategies must submit of course brilli	Home	decor	3.23	2413.20	0.85
-AAAAAAAAKKGDAAAA	Empirical, willing ar	Home	decor	2.80	8351.11	2.95
-AAAAAAAAKPGAAAAA	Just direct bills co-ordinate by a troops. Clothes belong old, essent	Home	decor	4.76	3679.50	1.30
-AAAAAAAALCDDAAAA	Other, old services violate yet for a schools. Casualties should reappear again by a females. Employees illustrate well never clean fields. Imperial, important appointments consider really orange, 	Home	decor	8.46	3780.31	1.33
-AAAAAAAALDODAAAA	Then long times hope wide sole, new legs. Students might not dig more swiss, isolated children. Real words may negotiate so. Left circumstances repeat; stil	Home	decor	0.81	66.04	0.02
-AAAAAAAALEKDAAAA	Too particular sites look regularly catholic spots; subjects drive in a children. Cheeks exist now specific lights. Average forces will max	Home	decor	3.75	1992.25	0.70
-AAAAAAAALGFDAAAA	Officials resume about. Ever human arts take at least. Decent cases reply now during a	Home	decor	0.38	6790.65	2.40
-AAAAAAAALLGAAAAA	Pp. consider to the men; hot, old cases take certainly just military agents; full, financial 	Home	decor	3.23	4136.91	1.46
-AAAAAAAAMBEAAAAA	Clearly local bars put still. 	Home	decor	0.69	3685.14	1.30
-AAAAAAAAMKMBAAAA	Economic ways reach really at the models. Scientists might draw even major markets. Daily o	Home	decor	7.07	12859.65	4.54
-AAAAAAAAMNMDAAAA	Meetings know policies. Elderly, big practitioners wait outside along the books. Average hand	Home	decor	8.54	4782.93	1.69
-AAAAAAAAMOFAAAAA	Political shares become then firmly english men. Hardly young police 	Home	decor	1.89	10448.72	3.69
-AAAAAAAAMOPAAAAA	Geographical, obvious conditions leave rather successful, new feelings. Here present friends would stop. New, positive terms shou	Home	decor	5.69	2682.17	0.94
-AAAAAAAANKJCAAAA	Questions see by a representatives. Short questions pass respectively progressive pp.. Sufficiently 	Home	decor	27.90	10133.26	3.58
-AAAAAAAAOHBEAAAA	Children write true, old seasons. Stupid, nationa	Home	decor	5.97	35822.55	12.67
-AAAAAAAAOHDBAAAA	High, happy funds would not change more minutes; ancient representations ca	Home	decor	4.12	5232.00	1.85
-AAAAAAAAOJFEAAAA	Thereby 	Home	decor	31.17	3065.16	1.08
-AAAAAAAAPAPBAAAA	Seconds should tolerate certainly large stairs. Large, foreign months shall pa	Home	decor	0.94	11186.84	3.95
-AAAAAAAAPBDAAAAA	Clear, top associations can activate all national factors. Items could think sure skills. Fine, thin classes must not help simply only statutory	Home	decor	6.27	3917.10	1.38
-AAAAAAAAPIBEAAAA	New buildings should visit forcefully certainly fine aspects. Shows must not take totally lights. Full teachers say still. Today local units shall know exactly by a services. Patient	Home	decor	8.39	446.81	0.15
-AAAAAAAAPLIAAAAA	Real, fair sales used to lend much drawings. Tanks believe new, present minutes. Contemporary, lovely contributions happen stairs. Problems keep. However sha	Home	decor	1.13	17259.93	6.10
-AAAAAAAAPLLAAAAA	Only	Home	decor	3.96	877.92	0.31
-AAAAAAAAADOAAAAA	Only detailed memories can tackle free, good members. For example artistic women bec	Home	flatware	4.37	1677.52	0.37
-AAAAAAAAAKMDAAAA	Sexual markets might not miss central plants. Physical relationships can leave probably p	Home	flatware	2.87	670.69	0.15
-AAAAAAAAANDAAAAA	Beautiful areas know ever actually chief patterns. International, simple feelings like in a russians. National methods would not agree new, other practices; remote, small respects 	Home	flatware	7.13	18656.44	4.19
-AAAAAAAAAOODAAAA	Digita	Home	flatware	98.92	4233.13	0.95
-AAAAAAAABDOBAAAA	Times fall buildings. Causal yards will not survive over at the	Home	flatware	11.60	4653.17	1.04
-AAAAAAAABNCAAAAA	Criminal companies may emerge sometimes children. Urban, other efforts dominate policies. Very right fans drive briti	Home	flatware	9.67	1616.85	0.36
-AAAAAAAACBLDAAAA	Obvious, clini	Home	flatware	0.71	3849.41	0.86
-AAAAAAAACCKAAAAA	Effective wives ought to adopt even golden sports; various shows cannot feel	Home	flatware	3.70	10411.31	2.34
-AAAAAAAACFNCAAAA	Poor, small things might care as characters. Comp	Home	flatware	2.42	18603.86	4.18
-AAAAAAAACGCDAAAA	Dominant flames ought to hold truly most joint criticisms; equal strategies wander. Strangers ought to realise clear, unknown illustrations. Other products would come. Norther	Home	flatware	1.13	2686.30	0.60
-AAAAAAAACGODAAAA	Ever excellent towns used to try hard current private services. International, new minutes follow powerful recordings. Schools must not h	Home	flatware	9.52	23644.59	5.31
-AAAAAAAACNKBAAAA	European, happy homes shall not share. Double calls can cover just in order regular developments; inevitable rooms ought to promise according to a eyes. Normal attempts grow only, complex goods	Home	flatware	8.03	7517.17	1.69
-AAAAAAAACPNCAAAA	Comprehensive terms would not deceive maybe between a things.	Home	flatware	1.82	6021.26	1.35
-AAAAAAAADGDEAAAA	Late partners get now from a weeks. Thus signifi	Home	flatware	4.55	1168.20	0.26
-AAAAAAAADLJCAAAA	Major authorities ought to penetrate so banks. Bills will 	Home	flatware	9.36	10463.32	2.35
-AAAAAAAADNNCAAAA	Thick orders would allow a bit negative forms. Increasingly good studies spend with the cases. British, independent devices tackle direct, italian things; tomorrow new members ought t	Home	flatware	0.16	0.00	0.00
-AAAAAAAAEBGAAAAA	Police should not expect material, acceptable shares. Houses should not hold alread	Home	flatware	6.97	5961.52	1.34
-AAAAAAAAECODAAAA	Long minutes may lead only mostly private buildings. O	Home	flatware	0.72	4563.91	1.02
-AAAAAAAAEDLBAAAA	Women take even reasonable causes; physical, medium buildings contain great operations. Ever other nights pin	Home	flatware	75.25	8551.48	1.92
-AAAAAAAAEIODAAAA	Patient, white wounds should not take years. Artists allow also just brilliant levels. Proposals go then by a towns. Capable schools relax now bla	Home	flatware	5.06	2798.88	0.62
-AAAAAAAAELIDAAAA	Jewish others might sort defendants; general events decide physically respective for	Home	flatware	9.92	11729.82	2.63
-AAAAAAAAFKGBAAAA	Social policies experience as immense, other organizations. New products will ensure other allowances. Good	Home	flatware	5.07	8008.67	1.80
-AAAAAAAAGEOCAAAA	Poor problems satisfy surprisingly right, administrative prices. Sad dishes talk full, negative rivals. Even 	Home	flatware	0.91	12565.96	2.82
-AAAAAAAAGILAAAAA	There political guidelines must rise actually small new roads. Temperatures should not cry new victims. Very possible cal	Home	flatware	3.68	9306.76	2.09
-AAAAAAAAGKJAAAAA	Old things should not regulate. African walls could not say incidents. Great days keep always different women. Previous provisions may want	Home	flatware	1.26	14768.99	3.32
-AAAAAAAAGMACAAAA	Real minds shall	Home	flatware	5.95	6534.86	1.46
-AAAAAAAAGMOCAAAA	Ordinary issues dry only numerous, substantial sheets. Numbers may carry so increased feet; even human peoples drift too; unlikely,	Home	flatware	7.54	3910.06	0.87
-AAAAAAAAGOGCAAAA	Immense fields find on a measures. Followers may not want on a details. Occasions look also worthw	Home	flatware	2.40	6586.82	1.48
-AAAAAAAAHGADAAAA	Even usual teachers ought to sing even different likely males. Universal services expect kindly enou	Home	flatware	2.32	2917.15	0.65
-AAAAAAAAHPFEAAAA	Dark times play between a variations. Years would explain very positive reasons. 	Home	flatware	16.82	13783.02	3.10
-AAAAAAAAICNCAAAA	Clear, accurate areas would not find at least. Seriously young s	Home	flatware	6.61	14025.13	3.15
-AAAAAAAAIIFBAAAA	Equal areas show. Police admit below overseas, educational levels. Trees leave circumstances. Technological organisations would go by the margins. Available police would not appea	Home	flatware	6.91	8803.96	1.98
-AAAAAAAAJCJCAAAA	Probably local years will live tonnes. Step	Home	flatware	4.89	7588.57	1.70
-AAAAAAAAJGHDAAAA	Meetings achieve rational, young wages. W	Home	flatware	3.42	1405.25	0.31
-AAAAAAAAJNBCAAAA	Common branches ought to 	Home	flatware	9.13	13116.08	2.95
-AAAAAAAAKBCBAAAA	Other, sorry countries must help rather teachers. Specific, sensitive police will feel by a ministers; new terms build indeed months. Black i	Home	flatware	6.07	6032.62	1.35
-AAAAAAAAKCEBAAAA	Simple others repres	Home	flatware	3.34	1967.80	0.44
-AAAAAAAAKCGCAAAA	Notably other chemicals might carry again there interesting problems. Electronic, new foods recall legs.	Home	flatware	2.81	5880.00	1.32
-AAAAAAAAKDHAAAAA	National, wrong sources must rot. Cases take often for a words. Hours shall tell particularly popular nurses; special, serious gr	Home	flatware	5.00	4929.26	1.10
-AAAAAAAAKGFBAAAA	Boundaries will take almost familiar loans. Below public services shall keep early schools. Issues sti	Home	flatware	7.45	10431.52	2.34
-AAAAAAAAKGPBAAAA	Again appropriate months could give young activities. Particularly alternative arms could not believe black, growing patterns. Mathematical, public candidates ought to see even only cheap ser	Home	flatware	51.46	3801.64	0.85
-AAAAAAAALAPCAAAA	Police improve here profe	Home	flatware	3.37	10172.79	2.28
-AAAAAAAALEDEAAAA	Villages shall vary in order formal, able moments. Old figures will happen significantly in a incidents. Working-class pow	Home	flatware	6.75	21262.54	4.78
-AAAAAAAALJIDAAAA	Major, important features buy also oral, secondary motives. Physical mechanisms watch firmly possible, awful mea	Home	flatware	2.29	1085.70	0.24
-AAAAAAAAMANBAAAA	Students would take; better expected matters clear then private streets. Holy studies might not indicate in the books. Full, acceptable boo	Home	flatware	72.59	8012.16	1.80
-AAAAAAAAMCDAAAAA	Other, british benefits begin over about the participants. Legal, short contracts receive for a procedures. Openly unlikely countries need both planes. Lines should not get very ago historical 	Home	flatware	9.51	10400.94	2.33
-AAAAAAAAMEABAAAA	Tiny conditions may not clear about wonderful leaders. New, british miles may like outside even lega	Home	flatware	57.26	1345.56	0.30
-AAAAAAAAMHNCAAAA	Women would not appear very then small parents. C	Home	flatware	2.88	6706.40	1.50
-AAAAAAAAMIECAAAA	Le	Home	flatware	9.98	11828.71	2.66
-AAAAAAAAMJLCAAAA	Male patients say on a plans. Silent orders support. Other, normal levels work strongly in the brothers. Rights cannot walk now french, goo	Home	flatware	7.31	3556.42	0.79
-AAAAAAAAMNKDAAAA	Payments used to understand about mothers. 	Home	flatware	3.19	4126.04	0.92
-AAAAAAAANMDAAAAA	Major, spanish limits cover too in the group	Home	flatware	2.03	442.02	0.09
-AAAAAAAAOAMCAAAA	Specific, possible sentences ought to run pictures. Parents should summarize and so on fine households. Other concepts explore too years. Honest stars must cost psychologi	Home	flatware	3.18	11969.24	2.69
-AAAAAAAAOCKCAAAA	Provincial statements shall expect other, dead eyes. Perfect differences must lose too musical events. Competitive, goo	Home	flatware	1.86	208.08	0.04
-AAAAAAAAOCKDAAAA	Active, different governments used to keep unable, chief things. Subtle, releva	Home	flatware	3.70	6043.95	1.35
-AAAAAAAAODFAAAAA	Illegal, beautiful points know forward in a banks. Here good details should last today key doctors. Practical rooms cost responsible colonies; twice clear parents should thi	Home	flatware	9.22	1297.24	0.29
-AAAAAAAAOEABAAAA	Demonstrations shall miss exact, labour thanks. Nuclear, rapid issues undermine vital provinces. Political, dark deals may get problems. Authori	Home	flatware	5.36	8931.94	2.00
-AAAAAAAAOELCAAAA	Buses break maybe. International varieties would die new clients. Real preferences shall date however in a others. Individuals get almost safe counties. Specific, suspicious friends s	Home	flatware	61.51	16140.96	3.63
-AAAAAAAAOFDEAAAA	Expected, only experiences distinguish clearly ideal artists; relatively future regions guide now about a authorities. So	Home	flatware	9.64	2193.21	0.49
-AAAAAAAAOKKAAAAA	Beings 	Home	flatware	5.41	3057.71	0.68
-AAAAAAAAPCIAAAAA	Arrangements might not go on a lawyers. Too small legs may explain most officer	Home	flatware	6.07	9935.08	2.23
-AAAAAAAAPLEEAAAA	References carry enough; little duties will not restore full, new boards. Advanced manufacturers remain in a wo	Home	flatware	2.00	10.34	0.00
-AAAAAAAAABBAAAAA	Ways share electronic benefits. Just effective groups repeat social relations. Always coming deaths would treat so ideas. Effective, grand patterns would hold more. Capable feet	Home	furniture	1.71	48.60	0.01
-AAAAAAAAABEAAAAA	Now good legs find from the ideas. Available courts must risk eventually more complex strangers. Sections	Home	furniture	8.76	23271.50	6.11
-AAAAAAAAABGAAAAA	Otherwise suitable products consider too technical techniques; common women spend quickly assessments; chemical habits develop more. Very universal processes determine gingerly; months may discover mo	Home	furniture	4.64	9189.84	2.41
-AAAAAAAAACJDAAAA	M	Home	furniture	3.93	248.02	0.06
-AAAAAAAAADGBAAAA	Forces can live mostly. Again indian stars ought to establish just. So british y	Home	furniture	6.35	11955.53	3.14
-AAAAAAAAAFADAAAA	Other, new contracts want easy vehicles. Smooth industries should ask high students. Facts	Home	furniture	1.41	1899.70	0.49
-AAAAAAAAAFDAAAAA	New relations should get ideal shapes. Revolutionary settings forget however soviet institutions. Guests might disguise probably miners; immediate, local barriers destroy exactly pol	Home	furniture	0.85	4977.30	1.30
-AAAAAAAAAKCEAAAA	Regrettably deep rivers make absolutely then major demands. Cold dangers open of course less essential stories. Legal, statistical studies amount more well sovi	Home	furniture	4.23	297.00	0.07
-AAAAAAAABAADAAAA	Jeans may not represent relatively young provinces. More other studi	Home	furniture	17.10	749.41	0.19
-AAAAAAAABNKBAAAA	Minutes can expect outside strong, alternative developers. Proper movemen	Home	furniture	7.15	3444.28	0.90
-AAAAAAAACBBAAAAA	Guns provide changes. Ago new references used to accompany on the eyes. Forward supreme patients cannot ask real, spiritual channels. Interest	Home	furniture	4.69	9809.12	2.57
-AAAAAAAACDJCAAAA	Thirdly urb	Home	furniture	0.28	28473.03	7.48
-AAAAAAAACEABAAAA	Important values shall say	Home	furniture	1.94	9328.32	2.45
-AAAAAAAACFOBAAAA	Specimens enjoy exactly other areas. Names mean just in a operati	Home	furniture	63.63	915.90	0.24
-AAAAAAAACHGBAAAA	Suitable, new be	Home	furniture	2.69	3079.77	0.80
-AAAAAAAACJIDAAAA	Southern, physical forms may inherit long forms. Directors find suddenly. Standards should not say under just difficult reasons. Paths join a bit scientific issues. Onl	Home	furniture	7.95	9195.94	2.41
-AAAAAAAADHAAAAAA	Enough apparent elements reverse actu	Home	furniture	2.68	10398.28	2.73
-AAAAAAAADOCDAAAA	Matters wander various institutions; social shares ought to ensure only important women. Only concrete pictures bring female e	Home	furniture	3.65	5846.76	1.53
-AAAAAAAADPNDAAAA	Controversial funds dictate forward, national girls. Future, sharp years discuss special, envi	Home	furniture	4.92	3589.05	0.94
-AAAAAAAAEADAAAAA	So good choices accept good events; mean, effective birds remember away of course mixed vegetables. Requirements concede quite worth the steps. Heavy, big war	Home	furniture	2.70	4319.56	1.13
-AAAAAAAAEHPCAAAA	Surroundings lead offices. Red, technical employers shall phone english, formidable interests. Already other songs used to not	Home	furniture	4.50	2912.82	0.76
-AAAAAAAAEIIAAAAA	Independent, other conclusions ought to die hands. Proposed, lovely days celebrate doubtless children. Correct, eastern kinds used to teach across social, gradual years; here seriou	Home	furniture	41.55	4068.11	1.06
-AAAAAAAAEOEEAAAA	Now political pages will refer active frie	Home	furniture	7.81	17063.04	4.48
-AAAAAAAAFGBBAAAA	So inc clients may tell as. Mothers could point points. Increasing, alone gifts 	Home	furniture	1.23	1731.98	0.45
-AAAAAAAAFGKBAAAA	Perhaps original notes 	Home	furniture	0.75	5460.46	1.43
-AAAAAAAAFNBAAAAA	Happy laws sit on the powers. Quickly convenient newspapers 	Home	furniture	0.16	265.44	0.06
-AAAAAAAAFPKBAAAA	Perfectly coming moments used to rely industrial things. Private, other fig	Home	furniture	0.65	2941.40	0.77
-AAAAAAAAGFPAAAAA	Profits deliver. Even possible guidelines ought to cry new teeth; necessary events will hear quickly counties. Pocket	Home	furniture	7.31	9136.04	2.40
-AAAAAAAAGJBEAAAA	Elaborate periods bother also considerable republics. Streets cannot serve freshly 	Home	furniture	2.34	7225.31	1.89
-AAAAAAAAGNKDAAAA	At least literary months might arise incomes. Just industrial fingers use only precise agreements. Also spanish hands could perform through the communications. So as beautiful 	Home	furniture	1.39	25907.70	6.80
-AAAAAAAAGPJCAAAA	Very, great fingers shall not receive open experiences. Back years grow extensive, eng	Home	furniture	9.36	11962.72	3.14
-AAAAAAAAHACBAAAA	Institutions ought to need projects. As possible citizens used to like here british male estates. Long, essential exceptions must win national, original outcomes; correspondi	Home	furniture	3.58	2589.31	0.68
-AAAAAAAAHJIBAAAA	Systems could go drugs. Forces say more; wings shall not tell too relatively small scientists. Then mad blues flow. Complete, tremendous officers would not explain indeed years. Exc	Home	furniture	9.66	8975.86	2.35
-AAAAAAAAHNBEAAAA	Tomorrow able reasons might take grey, major activities. Sensitive, so-called factors must sho	Home	furniture	4.12	43.16	0.01
-AAAAAAAAHPIBAAAA	English, effective children teach reluctantly popular, sad successes. Heroes must not sing both unchange	Home	furniture	7.49	5366.27	1.40
-AAAAAAAAIBDCAAAA	Contacts mak	Home	furniture	4.56	8994.14	2.36
-AAAAAAAAICIBAAAA	Never regional years may get absently greatly red services. Dangerously fascinating profits must return very hands. Unlikely, 	Home	furniture	3.84	8700.48	2.28
-AAAAAAAAIIABAAAA	Religious, new movements learn successive magistrates. Comfortable, 	Home	furniture	2.01	2138.52	0.56
-AAAAAAAAJDEDAAAA	Ro	Home	furniture	3.69	420.40	0.11
-AAAAAAAAKBOAAAAA	Extraordinary churches increase thereby little orders. Measu	Home	furniture	3.41	8903.93	2.33
-AAAAAAAAKCIDAAAA	Total efforts communicate horribly primary circumstances. Times should meet severely to the resources. Full, economic residents must manipu	Home	furniture	2.94	3820.68	1.00
-AAAAAAAAKFMBAAAA	Other, elaborate organisations throw for a communists. Prime, dead programmes secure ready, glad beds. Main, big animals dry. Secondary months study quickly global troops. Situ	Home	furniture	9.94	1238.00	0.32
-AAAAAAAAKHFAAAAA	Subsequent, serious gene	Home	furniture	4.93	15927.08	4.18
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-AAAAAAAAKOIDAAAA	Rights pay	Home	furniture	4.07	4771.20	1.25
-AAAAAAAAKPEDAAAA	Other, top words hurt visitors. Given neighbours cut in particular main, functional changes. Perhaps primary terms will devote later other, natural offi	Home	furniture	1.63	18237.78	4.79
-AAAAAAAALIPDAAAA	Star differences ought to lose similarly in the merchants. Everyday, high values will see particularly. Clear men can put just. Degrees stick ever over new parties. Willing, equal customers can ta	Home	furniture	4.93	3821.68	1.00
-AAAAAAAAMCDCAAAA	Other others must seem increasingly despite a exhibitions. Literary types enable quite by no means criminal pictures. Marks obtain around savings; average, quiet years attack also. Well separate pric	Home	furniture	5.99	7966.45	2.09
-AAAAAAAAMDHAAAAA	Asleep rights continue over papers. Yesterday poor combinations ought to like votes. Hardly similar manufacturers used to see groups. Rel	Home	furniture	65.51	16215.45	4.25
-AAAAAAAAMOCAAAAA	Weeks will claim at a hands. Cuts meet smart, relevant lawyers. Enormous sides should 	Home	furniture	23.89	1318.20	0.34
-AAAAAAAANPFBAAAA	Good, vulnerable worlds could take recently actually estimated agents. Unusual ideas work else sentences. More wide fortunes may embrace even black difficult tasks. Deep,	Home	furniture	6.59	1384.29	0.36
-AAAAAAAAOAGDAAAA	Streets stare only much respective twins. National, important branches move today outside upper children. Areas oug	Home	furniture	3.81	12377.22	3.25
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-AAAAAAAAOEDEAAAA	National, new hotels mean for a variables. Countries may not spend on the quarters. Else common differences used to call much on a months. New events perform too. Immense, perfect things reform	Home	furniture	0.27	242.76	0.06
-AAAAAAAAOKGBAAAA	Total, various theories can mean that is too religious men. Administrative men m	Home	furniture	4.99	3683.97	0.96
-AAAAAAAAONEAAAAA	Social, young days guide presumably. Somehow old servants return so	Home	furniture	2.18	6558.95	1.72
-AAAAAAAAOPMCAAAA	Things require quite western authors. Charges alert in order famous activities. Aware products put. Women may not back rarely thus difficult features. Misleading missiles 	Home	furniture	98.71	693.10	0.18
-AAAAAAAAACMCAAAA	In particular explicit publications used to like well babies. Participants used to	Home	glassware	26.87	1521.32	0.44
-AAAAAAAAAKMAAAAA	Proper things ought to come sometime	Home	glassware	3.56	1682.70	0.48
-AAAAAAAABECDAAAA	Workers remember more in a programs. Other, real matters will not outline usually on a assets. Regional rules may make therefore both necessary hours. Seconds finance alw	Home	glassware	9.42	6255.90	1.81
-AAAAAAAABHBBAAAA	Divine, physical teachers 	Home	glassware	9.87	6419.73	1.86
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-AAAAAAAACCDEAAAA	Crucial, familiar positions ought to occupy trees;	Home	glassware	8.11	10877.81	3.16
-AAAAAAAACELDAAAA	Rules complain chosen, 	Home	glassware	1.35	10828.60	3.14
-AAAAAAAACGDDAAAA	Always regular rules used to keep finally. Small phenomena shall disturb thereby. Well late schools may afford increasingly e	Home	glassware	7.31	2143.49	0.62
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-AAAAAAAACIHCAAAA	English words ought to achieve much about a laws. Strong, british areas expect here major modules. Ethnic, liable lengths see equally terms. Large neighbours will hope minutes; o	Home	glassware	0.74	5720.20	1.66
-AAAAAAAACLJDAAAA	Techniques sense; times blame by the hands. Much scottish executives would need powerful years. Growing hotels shall take meanwhi	Home	glassware	3.09	13028.88	3.78
-AAAAAAAACMLAAAAA	Years make otherwise others. Windows accept. Black, contemporary appointments study 	Home	glassware	2.21	8303.46	2.41
-AAAAAAAADFEBAAAA	Professional eyes listen. Yet beautiful charges might drive roughly. Audiences play less cases. Existing, initial others should not help; left, partial tools ought to work partly there wrong person	Home	glassware	4.82	7441.50	2.16
-AAAAAAAADKJDAAAA	Neither nice aspects will express contrary, old sets. For example financial problems will attract roughly; subsequently early relationships ought to wait o	Home	glassware	7.85	15609.44	4.53
-AAAAAAAAEDCBAAAA	Main problems proceed then 	Home	glassware	7.57	5771.10	1.67
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-AAAAAAAAEJMAAAAA	Kinds mean never different weeks. Likely areas ask perhaps. Beautiful rights may not celebrate working-c	Home	glassware	3.81	1557.40	0.45
-AAAAAAAAELNDAAAA	Scores could make even commercial days; final, good studies shall look really low, fine districts. Months like even agricultural systems. Others look industrial things; bas	Home	glassware	15.38	2310.12	0.67
-AAAAAAAAFFFEAAAA	Wings hesitate well great gaps. Firm texts know very on a men; territo	Home	glassware	23.04	7748.89	2.25
-AAAAAAAAFFMDAAAA	Working, gold proteins lie wide possi	Home	glassware	17.12	9562.36	2.77
-AAAAAAAAFJODAAAA	Even effective schools may make ways. Years raise hence main, public countries. Usual, national arguments must tend old, poor masses. Open big 	Home	glassware	3.60	7800.56	2.26
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-AAAAAAAAGHMBAAAA	Main, nervous preferences find certainly constant reasons. Open, primary boys zero rats	Home	glassware	1.78	6638.55	1.92
-AAAAAAAAGIJAAAAA	Techniques expand however activities. Clergy sustain young boys. Sufficient parts ask representatives; very poor years would slip at least low directors. Required estates join too. Pub	Home	glassware	8.06	13080.85	3.80
-AAAAAAAAGLFAAAAA	Extremely level sources hear; months make less above common materials. Main, unpleasant parts allow workers. Foreign, yellow interests go teeth. Academic yards would not 	Home	glassware	2.84	7046.23	2.04
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-AAAAAAAAGPEDAAAA	Almost comprehensive cases know unfortunately hard courses; there determined rules shall make even hard, close years. Existing, red sentences name. Experts help slowly players. 	Home	glassware	78.89	2097.81	0.60
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-AAAAAAAAKMOCAAAA	Chiefly closed characteristics avoid automatically very men. Certain, new years run poor, continuing hours. Expressions operate acts. Key objections should 	Home	glassware	81.00	3851.81	1.11
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-AAAAAAAALIBCAAAA	Prices want near flo	Home	glassware	1.92	9191.51	2.67
-AAAAAAAALPIAAAAA	Full directions confer about very active figures. Delicious keys could not call for 	Home	glassware	3.65	302.96	0.08
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-AAAAAAAAMFJAAAAA	Contents include at the friends. Men might result severe, desirable vegetables. Traditional	Home	glassware	0.74	4864.97	1.41
-AAAAAAAAMHDDAAAA	Goods go further recent words. Special, specific rights used to challenge then. Tomorrow concerned musicians must not lend from a shelves. Once	Home	glassware	9.65	9352.86	2.71
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-AAAAAAAAMPLCAAAA	Welsh, red hours shall not agree public, certain components; then exciting minutes should avoid quite white blank organisers. That real systems will put at last measures. Never	Home	glassware	0.81	7536.62	2.18
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-AAAAAAAANICCAAAA	Possible services can think in addition in a institutions. Able, hard grounds will choose mixed kilometres	Home	glassware	4.44	1529.66	0.44
-AAAAAAAANNACAAAA	Long, good regions shall make under institutional societies. Disciplinary, unique clubs shall calm only more awkward females. Theories come hardly inappropriate issues;	Home	glassware	1.67	8034.73	2.33
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-AAAAAAAAOACEAAAA	Grand years must not provide c	Home	glassware	5.39	2062.53	0.59
-AAAAAAAAOAPCAAAA	Very offers isolate also long runs. Police find now new newspapers. Types ought to base there national 	Home	glassware	4.89	2360.69	0.68
-AAAAAAAAOFKCAAAA	Years give maybe bright, domestic variations; public standards may use especially necessary	Home	glassware	2.27	5078.67	1.47
-AAAAAAAAOGFEAAAA	As small boundaries might move however consumers. Just brothers allow relatively later tired	Home	glassware	3.98	4731.58	1.37
-AAAAAAAAOOAAAAAA	High, japanese terms recapture far from tightly similar sections; widespread, romantic teeth shall sort so elabo	Home	glassware	2.39	6427.89	1.86
-AAAAAAAAPAGEAAAA	Anyway hard actors ought to transport often accurate significant limits. Others should try. Only italian words will not make fresh officers; quickly correct operations could recognise just 	Home	glassware	1.61	81.34	0.02
-AAAAAAAAPCLAAAAA	Different shops will hear far strong, physical purposes. Ages should g	Home	glassware	3.91	15492.80	4.50
-AAAAAAAAPMDEAAAA	Earlier educational solicitors shall not want long societies. Skills must not d	Home	glassware	8.66	7876.70	2.28
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-AAAAAAAAAPPCAAAA	True, red 	Home	kids	9.30	714.26	0.28
-AAAAAAAABBFDAAAA	Substantially slight tests used to convert national facilities.	Home	kids	2.21	13011.51	5.22
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-AAAAAAAADHPAAAAA	Hundreds will not stop great years. Methods ought to last vaguely plants. 	Home	kids	1.35	2173.08	0.87
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-AAAAAAAAIEJCAAAA	Days make there great, firm voters. Friends listen now lively tenants; also italian views used to know	Home	kids	8.41	14060.53	5.65
-AAAAAAAAILJAAAAA	Detailed companies may facilitate in the suggestions; scottish hopes lead more good shelves. Long, increased years drive perhaps elderly pressures; all good game	Home	kids	9.84	1439.68	0.57
-AAAAAAAAIPOBAAAA	Molecules bear early affairs. Plans obscure efficiently. Police can keep silently new countries. Democratic, head years change min	Home	kids	2.62	6670.96	2.68
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-AAAAAAAAKBEEAAAA	Accurate children will help only european claims. Delighted assets wou	Home	kids	7.67	2367.65	0.95
-AAAAAAAAKBPDAAAA	Whole, hard terms used to put pretty in a resources. Surpr	Home	kids	7.66	1079.39	0.43
-AAAAAAAAKCNBAAAA	Almost unable supporters go others. Empty parties enter no lo	Home	kids	2.31	8537.94	3.43
-AAAAAAAALBABAAAA	Social, grand services appear already sounds. Later national positions ought to grow available hours. Offenders ca	Home	kids	8.02	12132.98	4.87
-AAAAAAAALBDBAAAA	Fo	Home	kids	1.39	6140.28	2.46
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-AAAAAAAALPCAAAAA	Sorts might think full birds. New packages shall exceed sad arrangements. Problems cannot come together other employees.	Home	kids	1.54	3775.80	1.51
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-AAAAAAAAMDEEAAAA	Total children used to find men. Carers build. Important, statutory heads write at the points; mar	Home	kids	6.59	7804.41	3.13
-AAAAAAAAMKCEAAAA	So small heads ought to help parents. Second	Home	kids	9.32	3379.22	1.35
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-AAAAAAAAOGMAAAAA	Rich, deep types go. Safe premises differ particul	Home	kids	5.55	11810.32	4.74
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-AAAAAAAAOPDCAAAA	Especially local thousands withdraw as workers. Else direct teams renew long indu	Home	kids	3.03	5971.02	2.39
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-AAAAAAAAPEADAAAA	For example decent routes shall give specially ethnic common explanations. Aware animals shoul	Home	kids	1.28	4251.26	1.70
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-AAAAAAAAPIGCAAAA	So important pounds would not score precisely at a cells. Clear campaigns would fall now monthly databases. Processes ought to stand in par	Home	kids	37.00	6087.17	2.44
-AAAAAAAAPOBBAAAA	Already european mothers ought to impose big ever fixed parents. Dominant groups say even. Here basic weeks set as winners. Modern, young prayers release very environ	Home	kids	7.48	1114.96	0.44
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-AAAAAAAAACPCAAAA	Extended, local books calm now likely companies. Sometime rich instances improve spanish countries. Crucial flames take further. Rapidly big proposals may not photograph in the opt	Home	lighting	0.55	811.46	0.24
-AAAAAAAAALLDAAAA	Poor, evolutionary cases might understand much white stars. High stages should not move terms. Lines ought to find firmly universal members. Gastric ages help doors; cheerful, old fees fall; nation	Home	lighting	9.74	4243.16	1.28
-AAAAAAAABMADAAAA	Other offers demand across on a gates. Also natural employers look sensitive obje	Home	lighting	3.83	3588.28	1.08
-AAAAAAAABMHCAAAA	Forces might place home. Professional lawyers might not grant for the schools. Competiti	Home	lighting	92.40	1235.50	0.37
-AAAAAAAACCHCAAAA	Quickly able ways 	Home	lighting	3.10	1547.56	0.46
-AAAAAAAACCMDAAAA	Realistic communities know times. Soft days might not stop rights. General g	Home	lighting	2.83	21163.05	6.41
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-AAAAAAAACMCBAAAA	Again other changes woul	Home	lighting	0.52	4270.23	1.29
-AAAAAAAACPKBAAAA	Years say from a deaths. Polite jeans see standards. Parties check elderly mice. Long young values would disguise before	Home	lighting	9.58	7904.23	2.39
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-AAAAAAAADJOCAAAA	Rather proper personnel vie	Home	lighting	0.67	17311.20	5.24
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-AAAAAAAAEHJCAAAA	Small agents used to approve most finally simple words. Horses check dangerous, typical cuts. Clear polls can come only around central lines. Perhaps heavy officers tell involved sch	Home	lighting	5.88	7620.58	2.30
-AAAAAAAAFHDEAAAA	Keys should meet parties. Ministers leave members. Small, new students may take always individual letters. Video-taped levels think russian ingredients. Evident pieces secure merely biological, safe c	Home	lighting	1.63	9964.77	3.02
-AAAAAAAAGEPAAAAA	Social men build also national, key parents; boys may take particularly here lost reasons. Opportunities used to i	Home	lighting	56.67	13192.64	3.99
-AAAAAAAAGFMCAAAA	Later warm sports might not believe once; miners cannot take apparently never true rules. Talks used to seem even stable ideas. Intimate, coherent payments help. Years see	Home	lighting	3.31	5099.94	1.54
-AAAAAAAAGKBAAAAA	As other folk can remain quickly methods. Easy, othe	Home	lighting	1.87	5126.04	1.55
-AAAAAAAAGLDCAAAA	National, other ministers should spend more than increased programmes. Now psychological goods could change h	Home	lighting	3.09	1400.70	0.42
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-AAAAAAAAHOEAAAAA	Main, aware rights will not escape under the systems. Circumstances must introduce just as a children. Publ	Home	lighting	1.46	3116.94	0.94
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-AAAAAAAAIOBDAAAA	Problems might not get also current minutes. Women wear happily values. Resul	Home	lighting	4.65	14550.92	4.41
-AAAAAAAAJGKDAAAA	Main weeks surrender more beyond a views. Popular, payable agencies cannot c	Home	lighting	6.05	739.08	0.22
-AAAAAAAAJKIBAAAA	Comments may not form. Similar clothes cannot know even through a kids; surprising, adjacent matters upset namely standards. Especially new words make. Immediately wooden reasons read to a findi	Home	lighting	9.57	4248.79	1.28
-AAAAAAAAKAFBAAAA	Possible, white matters may overcome twice distinct projects. Digital shares will like silent loans. Difficult, other children cannot know goa	Home	lighting	0.46	7074.05	2.14
-AAAAAAAAKBKCAAAA	Years will not avoid times. Actual, outer texts would live. Little, sufficient attempts used to give finally governmen	Home	lighting	2.67	7727.41	2.34
-AAAAAAAAKEJDAAAA	In particular small principles reach with the rights; rows should look effective, available words. Northern, thin lists may see more liberal elections. Too necessary figu	Home	lighting	5.99	709.92	0.21
-AAAAAAAAKJMAAAAA	Imaginative games distinguish ambitio	Home	lighting	2.46	457.92	0.13
-AAAAAAAALBBAAAAA	New, labour players must start subsequently magnetic values. Dark problems laugh; accountants	Home	lighting	9.13	2519.13	0.76
-AAAAAAAALBEAAAAA	Proposed facilities might prefer. Pages can go appropriate, friendly titles. Doctors m	Home	lighting	48.57	3568.05	1.08
-AAAAAAAALCGAAAAA	R	Home	lighting	3.18	11394.38	3.45
-AAAAAAAAMJBDAAAA	Different states teach beneath royal houses. British countries could express residents; more educatio	Home	lighting	5.66	10865.56	3.29
-AAAAAAAAMMIAAAAA	Scenes should	Home	lighting	8.25	549.90	0.16
-AAAAAAAAMMJCAAAA	Sexual strangers should eat around horrible observations. Applications 	Home	lighting	6.23	9864.00	2.99
-AAAAAAAAMPGBAAAA	Phases would sell scarcely. Seats work here secret variations. Reports order no	Home	lighting	35.49	330.53	0.10
-AAAAAAAANEKBAAAA	Hardly continental possibilities might proceed most for a values. Then following groups face. Loud other patients will approach only. Current practices will say nice, productive languages. Reportedly	Home	lighting	0.78	20387.00	6.17
-AAAAAAAAOAECAAAA	Perhaps other hands indulge. Classes identify especially important issues. Chief, full pounds try present problems. Categories summarise then national women. Unable children might no	Home	lighting	9.45	4379.10	1.32
-AAAAAAAAOAIBAAAA	Terms kiss now to a names. Bottles may not make also new, certain problems. Pregnant, special traditions would not capture purely. Definitely large others	Home	lighting	2.70	6783.81	2.05
-AAAAAAAAOCDDAAAA	Apart supreme teams shall see as a angles. Courses would not sell me	Home	lighting	0.96	21953.50	6.65
-AAAAAAAAOHBBAAAA	Grounds could not advise sophisticated, economic members. Firm roads regard home	Home	lighting	7.17	12896.16	3.90
-AAAAAAAAOJAAAAAA	General personnel should take by the pictures; personal, ol	Home	lighting	9.17	7131.41	2.16
-AAAAAAAAPDBDAAAA	Orders satisfy all colleges. Years resist warm, invis	Home	lighting	6.29	6401.87	1.94
-AAAAAAAAABKCAAAA	Assessments get barely simple, pro	Home	mattresses	0.10	5540.53	1.62
-AAAAAAAAABNAAAAA	Motives shall inform current, potential contracts. Natural, official centres spend more than here free libraries. Poor, other possibilities want behind a knees. Still st	Home	mattresses	2.41	12828.63	3.75
-AAAAAAAAAEGBAAAA	Leaves register important observers. Genuine authorities ought to fire then standard, heavy wives; sure significant shadows gain high. Mental, great seats work other, low resources. Busy, scot	Home	mattresses	9.67	7826.30	2.29
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-AAAAAAAAAKJBAAAA	Social, back times might not call. Capable men go therefore at the banks. Officially hot actions show very. Whole writers ought to get. Over crude levels wo	Home	mattresses	0.94	6924.42	2.02
-AAAAAAAAAMBDAAAA	Personal, back colleagues work	Home	mattresses	18.69	13695.56	4.00
-AAAAAAAABHIDAAAA	Nearly large-scale score	Home	mattresses	34.83	3827.77	1.12
-AAAAAAAACJBEAAAA	Scientists stay small patients; easy, thin authorities kill; cases must settle other stocks; employees ought to acquire together men. For instance obvious	Home	mattresses	4.46	14706.12	4.30
-AAAAAAAACMBEAAAA	Only hard years would take just. Only proud men matter again less interested days; video-taped, unlikely shares bear now into the rivers	Home	mattresses	1.95	2509.69	0.73
-AAAAAAAADDGBAAAA	Almost new charges prove necessary provinces. Days lose almost	Home	mattresses	4.20	9185.48	2.68
-AAAAAAAADGKDAAAA	Senior days shift. Annua	Home	mattresses	8.94	5745.46	1.68
-AAAAAAAAEENBAAAA	Rounds ought to ask doubtful c	Home	mattresses	4.72	4799.06	1.40
-AAAAAAAAEFHDAAAA	Female birds like still years; 	Home	mattresses	2.27	2342.50	0.68
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-AAAAAAAAEGOCAAAA	Primary sentences go in a arguments; eventually tiny shows should see. Very present parents say however equal, visible markets. Other,	Home	mattresses	1.44	7748.63	2.26
-AAAAAAAAELDCAAAA	Lucky, new buses place aged a packages; new forces	Home	mattresses	2.33	4153.52	1.21
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-AAAAAAAAFKCCAAAA	Main conditions can form further 	Home	mattresses	7.56	9673.94	2.83
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-AAAAAAAAGHKAAAAA	Good spatial othe	Home	mattresses	6.71	449.79	0.13
-AAAAAAAAHAKCAAAA	Personal, economic shares could hear wide in a girls. Books might not contemplate words. Details experience. Economic refugees walk only economic, main parts. P	Home	mattresses	57.39	3407.38	0.99
-AAAAAAAAHICCAAAA	Low, difficult services disarm nowhere by the tests. Observations will evolve scientific weeks. Good, easy pu	Home	mattresses	3.73	2273.62	0.66
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-AAAAAAAAIEEDAAAA	Well interesting symbols receive scenes. Especially equal communities ought to listen directly by a words; following, dramatic c	Home	mattresses	1.55	1075.25	0.31
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-AAAAAAAAJGNDAAAA	Other shoulders ought to seek at a cou	Home	mattresses	30.96	276.50	0.08
-AAAAAAAAKADDAAAA	Also indian facilities satisfy often absolutely free things. Separate, blu	Home	mattresses	7.14	1771.20	0.51
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-AAAAAAAAMAOCAAAA	Gates might press here solid applicants; novel, probable minutes get basic processes. Happy bonds might admit even for the words. Only, royal languages used to back again yesterday 	Home	mattresses	7.31	530.46	0.15
-AAAAAAAAMELCAAAA	Single charges stand eventually then mental wines. Flexible days find through the men; surprising producers improve for a churches; mental officials might not oust particularly m	Home	mattresses	9.99	3016.88	0.88
-AAAAAAAAMFFBAAAA	Relative reactions begin completely today shy proposals. United, good feelings should get nearly 	Home	mattresses	1.82	7981.60	2.33
-AAAAAAAAMHFEAAAA	Again afraid friends expose pairs; women tend additional churches. Only good criticisms think welcome, appropriate points. More private packages choose less relati	Home	mattresses	3.36	7984.75	2.33
-AAAAAAAAMILDAAAA	So thick services might leave very only retail c	Home	mattresses	2.84	3939.79	1.15
-AAAAAAAAMJHAAAAA	Officials calculate in the images. Military, olympic services throw apparently old photographs; exotic, wonderful children benefit	Home	mattresses	9.36	2765.00	0.80
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-AAAAAAAAOFMAAAAA	Brown states read responsible, s	Home	mattresses	4.81	18258.81	5.34
-AAAAAAAAOMBEAAAA	Known, american talks can direct. Outer, apparent tools play still great, ma	Home	mattresses	1.30	1057.98	0.30
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-AAAAAAAAACODAAAA	Satisfactory, careful ways would move however common, clear windows. Yesterday existing hours thin	Home	paint	6.21	5874.04	1.48
-AAAAAAAAAJEDAAAA	Also different others might take great, only problems. Then i	Home	paint	1.32	3350.89	0.84
-AAAAAAAAANABAAAA	Signs would repeat enough economic, annual books. 	Home	paint	67.01	9168.83	2.31
-AAAAAAAAAOBEAAAA	Large, western bodies match already sensitive, overall others. General, willing duties reach assistant parents. Emotional representations would not assure. Alternative, crucial sales may make runnin	Home	paint	4.69	3104.66	0.78
-AAAAAAAAAOOAAAAA	Small ways get usually then physical processes; important ministers will not perform else over a features. Relations like years. New, elegant holes should roll soviet, social plan	Home	paint	4.37	4306.60	1.08
-AAAAAAAABDGAAAAA	Blue, financial opportunities could hope social humans. Lights must vote states. Then new companies make important, a	Home	paint	4.83	375.21	0.09
-AAAAAAAABEIDAAAA	Just, different women will realise then to a months. Different documents will go far poor areas. 	Home	paint	1.57	15707.19	3.96
-AAAAAAAABOHDAAAA	Yet early inches used to inquire very variable, friendly repor	Home	paint	8.38	1844.61	0.46
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-AAAAAAAACDMDAAAA	Useful, top needs will invite to a societies. However 	Home	paint	1.82	5126.27	1.29
-AAAAAAAACFJAAAAA	Bits would improve lengthy problems. Members kiss a little. Popular authorities might try dangerous, precise points; respectable companies return at least. Domestic, sup	Home	paint	2.86	1641.40	0.41
-AAAAAAAACIFEAAAA	Waves ought to stay once again initial, safe meetings. Independent, easy islands treat unchanged enterprises. Small, african cases ad	Home	paint	5.52	120.12	0.03
-AAAAAAAACMFEAAAA	Concerned, vulnerable keys should see systems. Monthly, old days develop rules. Obvious, alive items say then accounts. Railways sell then darling workers. Free, natural police shall	Home	paint	4.56	446.51	0.11
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-AAAAAAAAFJEEAAAA	Appropriate, prime hours tell. Terms could take. Much new workers settle important, british players. Comprehensive tonnes will eat nearby. Due dec	Home	paint	2.04	6542.21	1.65
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-AAAAAAAAGCDAAAAA	Subsequently full views add still considerable changes. Extra names suffer conservatives. So odd hours work just real standard	Home	paint	2.01	5022.61	1.26
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-AAAAAAAAHINDAAAA	New, specific students track sentences. Items mean onl	Home	paint	3.59	3839.38	0.96
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-AAAAAAAALHICAAAA	Hands will judge in the shots. Extra, other services will clarify; possible chapters defend rapidly too civil s	Home	paint	2.63	660.15	0.16
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-AAAAAAAACJJDAAAA	Great, delighted arrangements conceive as; users cook only mostly small chemicals. Social days compare suitably other lines; immediate, quiet letters could not get in a guests. Children participat	Home	rugs	4.67	6581.61	2.31
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-AAAAAAAADDNDAAAA	Indeed 	Home	rugs	1.24	7725.64	2.72
-AAAAAAAAECDCAAAA	Main practices will seem with the issues; members could not keep seriously at a resources; full, environmental days might not end late, dutch children. In private small applica	Home	rugs	3.98	12799.68	4.50
-AAAAAAAAEHGCAAAA	As other models might know so ever private processes. Social, white feet encompass here. Tryi	Home	rugs	4.90	4486.38	1.58
-AAAAAAAAEIEEAAAA	Other, suitable instances will not shield also good, working territories. Small, difficult reforms may cut concessions. Cheap arms find before the institutions. Already little	Home	rugs	7.45	5771.04	2.03
-AAAAAAAAFLPAAAAA	Children could not see between a revenues. Elderly, annual contracts could not believe particularly as single problems. Democratic, human benefits appoint sometimes. Steep, nasty places 	Home	rugs	6.25	9945.47	3.50
-AAAAAAAAGENDAAAA	Surely parental costs try tonight also american eyes; well recent conditions can involve to a processes. Close deaf pressures develop international eyes; there	Home	rugs	93.56	23010.03	8.10
-AAAAAAAAGIGAAAAA	White ways matter more to a children. Rather grateful islands shall set theoretically bright children. Too complex customers affect. European, visible weeks may p	Home	rugs	1.24	2691.36	0.94
-AAAAAAAAGLGCAAAA	Open plants end. Newly 	Home	rugs	5.40	3134.44	1.10
-AAAAAAAAGMLAAAAA	Hard, proper plans must make birds. Academic homes should recognise. Goods may not obtain well	Home	rugs	4.72	3328.80	1.17
-AAAAAAAAHKFAAAAA	Friends tell. Living times should no	Home	rugs	4.43	4554.20	1.60
-AAAAAAAAIBFCAAAA	Soon sophisticated schools succeed etc late groups. Genes should not keep more industrial places. Cleve	Home	rugs	2.49	3939.68	1.38
-AAAAAAAAIBMBAAAA	Again vital details must not think users; thus total cattle sound central, particular churches; gentle, local materials could appreciate warm, high manufacturers. Qualifications allo	Home	rugs	9.23	15996.94	5.63
-AAAAAAAAIOBCAAAA	Walls would need instead to the times. Somehow early transactions claim. Liable, gay corporations will seem however properly female men. Cars give long in a months.	Home	rugs	9.84	7934.36	2.79
-AAAAAAAAIOOCAAAA	Measurements mind false, top funds. Aspects shall reduce already personnel; payable photographs may develop gardens. Processes must feel edges. Certain cases ought to cling from the	Home	rugs	7.30	8259.46	2.91
-AAAAAAAAJCACAAAA	New, red savings could justify to the principles; even exact years ought to win so. Records ens	Home	rugs	39.61	2489.28	0.87
-AAAAAAAAJEJAAAAA	Interesting, demanding lines register ful	Home	rugs	3.77	6907.52	2.43
-AAAAAAAAJLIAAAAA	Foreign years should say at least to a firms. African, direct children become yesterday. Today heavy circumstances say ago likely childre	Home	rugs	2.21	15473.33	5.45
-AAAAAAAAJMHAAAAA	Eye	Home	rugs	2.18	7906.31	2.78
-AAAAAAAAKECAAAAA	High publishers can exclude certain stars. Too i	Home	rugs	87.61	2544.96	0.89
-AAAAAAAAKFAEAAAA	Closed miles may not succeed about at once little cases. Processes discourage living men. Useless, experimental books	Home	rugs	1.74	3467.55	1.22
-AAAAAAAALCGDAAAA	Other changes claim just with the ways. Other ways believe men; national, special daughters head fine, left movements. Well military estates care. More extens	Home	rugs	1.38	2653.86	0.93
-AAAAAAAALGCDAAAA	Significantly sufficient forces must not tell somewhere relatively free ways. Fundamental bars apply i	Home	rugs	9.47	5930.02	2.08
-AAAAAAAALJKBAAAA	Particularly relevant masses used to need for the reasons. Together large agencies establish still women. More than traditional companies may not treat no doubt large naked organizations. Black, q	Home	rugs	8.43	11000.32	3.87
-AAAAAAAALLADAAAA	Financial, independent tears shall give as yet prime leaders. Very roots would	Home	rugs	3.88	21070.63	7.42
-AAAAAAAAMBMBAAAA	Revolutionary rules help abroad in a details. Only, new studies get hidden, special ends. B	Home	rugs	5.98	3690.40	1.30
-AAAAAAAAMGCDAAAA	Economic, british tables succumb on a heads; only, growing members might turn centres. International, future sectors develop well for a communities. Strange pairs spend better. Warm, detaile	Home	rugs	7.58	10034.32	3.53
-AAAAAAAAMHCBAAAA	Problems protect followers. Particular, particular controls can consider later wide, high risks. Bars would consider always social markets. New instructions may sit initial terms; farm	Home	rugs	6.45	935.52	0.32
-AAAAAAAAMLBBAAAA	Years compensate gold,	Home	rugs	4.23	4935.30	1.73
-AAAAAAAAMMNDAAAA	Only brown things can see difficult, soviet weekends. Ever large uses bring more for a years. Difficulties pick literally clearly other occasions. 	Home	rugs	11.64	4250.06	1.49
-AAAAAAAANCCCAAAA	Faces would not read ever professional girls. Complete, briti	Home	rugs	6.73	560.91	0.19
-AAAAAAAANKBEAAAA	Dry, friendly situations ask thus grey floors. Letters must discuss steep chapters. Members act ago on a feet. Standards exploit sounds. Arguments shall come	Home	rugs	4.77	3898.57	1.37
-AAAAAAAANOMBAAAA	Today italian things shall not discuss also again other thousands. New materials shall help	Home	rugs	1.53	3146.03	1.10
-AAAAAAAAODDCAAAA	Times must take well possibly ill	Home	rugs	6.68	2734.66	0.96
-AAAAAAAAOGFBAAAA	Perhaps young problems shoot well powerful schools. Possibilities risk parliamentary, local guidelines. Mild things refuse only still secret patterns. Great, aware women 	Home	rugs	3.76	11123.96	3.91
-AAAAAAAAOLDEAAAA	Useful, alternative eyes might exclude 	Home	rugs	3.72	4022.16	1.41
-AAAAAAAAPCFAAAAA	Flat patients die specific, pink losses. Palestinian thousands tolerate materially cuts. Bodies may not float senior, other factors. Pure experiments could survive too 	Home	rugs	7.34	4551.39	1.60
-AAAAAAAAPJOCAAAA	Dead systems stay even good lines. Ahead late companies might switch emotionally much opposite children. English, important polls can receive well int	Home	rugs	3.04	6151.56	2.16
-AAAAAAAAAALAAAAA	Relations cannot question besides european conditions	Home	tables	1.32	42.55	0.02
-AAAAAAAAAEDAAAAA	Today previous months address. Identical, appropriate details may remain at all final, small variations. So middle	Home	tables	7.16	732.60	0.39
-AAAAAAAAAFHBAAAA	Only necessary occasions subdue similarly for example political metres. Values shut then countries. Loudly basic profits would arise mentally apparent rooms; eyes may know anywhere views. Approx fu	Home	tables	4.10	2684.64	1.44
-AAAAAAAAANLCAAAA	United, personal shops work very needs. Clients focus radically different conditions. Outwards cheerful boys will not surrender most possible fut	Home	tables	7.99	365.40	0.19
-AAAAAAAABCLCAAAA	Popular costs help never so essential years. Commercial children cannot assume below requirements. Normal purposes shall help al	Home	tables	3.01	1194.09	0.64
-AAAAAAAABDDDAAAA	Scientific	Home	tables	1.25	11322.31	6.08
-AAAAAAAABMMAAAAA	Horses will not give. Historical writers shall land here dry, influential assets. Even crucial definitions should pay backwards situations. Never other forces find importan	Home	tables	0.56	122.58	0.06
-AAAAAAAABPCBAAAA	Sure socia	Home	tables	1.78	3600.34	1.93
-AAAAAAAACEHAAAAA	National sea	Home	tables	29.68	317.94	0.17
-AAAAAAAACFBDAAAA	Initial, important ministers used to rely. Young, difficult glasses cannot say european, religious organisations; worried minutes protect action	Home	tables	4.95	6221.34	3.34
-AAAAAAAACJMCAAAA	Enormous, high problems may like nevertheless often possible minutes. Here white benefits	Home	tables	3.03	3358.86	1.80
-AAAAAAAACNKDAAAA	Preferably good events shall sit often cold national pu	Home	tables	2.44	13400.14	7.20
-AAAAAAAADJAEAAAA	Patients leave. Perhaps previous readers can give around a refugees. Books take today certain relations. Only letters go existing prizes. Yet early communities behave. Dread	Home	tables	2.37	9976.76	5.36
-AAAAAAAAEDNAAAAA	Categories ought to read also on a questions. Small years bring tonight between the holes. Growing, total artists think too for a values; french winds	Home	tables	2.08	6146.67	3.30
-AAAAAAAAEEIBAAAA	Unnecessary types intervene little close ages. Reasons find accordingly however whole resources; birds join fl	Home	tables	2.46	535.04	0.28
-AAAAAAAAEPKCAAAA	Even pleasant manufacturers win merely tall, good assessments. Foreign, only months used to put thus 	Home	tables	4.55	8444.61	4.53
-AAAAAAAAEPMDAAAA	New, broad children represent statutory things. Once central differences give however medical times. Early, new parents may find a	Home	tables	0.89	3447.20	1.85
-AAAAAAAAEPNCAAAA	Local, good names expect substantial, emotional materials. Recent minutes will not take yet more large services. Completely deep wor	Home	tables	7.09	3688.65	1.98
-AAAAAAAAFCOBAAAA	Hours should join far. Members used to set already aw	Home	tables	9.32	14872.88	7.99
-AAAAAAAAFDFDAAAA	Very silly children laugh single paintings; tests find essenti	Home	tables	4.85	124.10	0.06
-AAAAAAAAFLCEAAAA	Soviet ships will perform partly. Responses like already historical years. So respo	Home	tables	6.42	8690.76	4.67
-AAAAAAAAGGEBAAAA	Largely small arguments could make female, foreign titles. Ready, 	Home	tables	2.77	8991.30	4.83
-AAAAAAAAGGHDAAAA	Tracks reappear products. Special days can enjoy of course problems. Attempts cannot ensur	Home	tables	2.75	6065.82	3.26
-AAAAAAAAGGNBAAAA	Slow patterns would step still part-time 	Home	tables	3.35	251.84	0.13
-AAAAAAAAGJFCAAAA	Fundamental posts simulate importa	Home	tables	7.66	1061.84	0.57
-AAAAAAAAHIHDAAAA	So damp tests imagine resources. Innocently prime developments shall work small pl	Home	tables	0.61	1037.44	0.55
-AAAAAAAAHNNBAAAA	Centuries must envisage already things. Officials take both for a sectors. Exact tears may not restore only rich inches; difficulties could speak physical families	Home	tables	3.97	1175.37	0.63
-AAAAAAAAIDEBAAAA	Banks think very large,	Home	tables	4.97	3815.57	2.05
-AAAAAAAAIKHAAAAA	Pictures cannot get advantages. Roman, difficult issues shift easy. Guidelines rouse just all actual hours. Coherent, main days acknowledge forward previous 	Home	tables	0.48	415.84	0.22
-AAAAAAAAIMBBAAAA	Single hours ought to say. Sources would contribute civil rivers. Good, central patients put too to the spirits. Sho	Home	tables	4.99	1581.92	0.85
-AAAAAAAAIPLDAAAA	New years wish also confident, unaware contents. Sound doubts will check right. Economic, potential eyes can say this welco	Home	tables	1.80	7800.06	4.19
-AAAAAAAAJCIDAAAA	Structures may	Home	tables	4.92	312.50	0.16
-AAAAAAAAKALBAAAA	Shoulders talk a little essential kinds. Stories make for a months. Most competitive areas think away also global tools. Real differences like also over a device	Home	tables	3.09	6378.57	3.42
-AAAAAAAAKILAAAAA	Outdoor regulations keep concerns. Kin	Home	tables	1.52	188.10	0.10
-AAAAAAAAKONBAAAA	Splendid off	Home	tables	1.82	4780.65	2.57
-AAAAAAAALCPAAAAA	Always small values will love important markets. Likely, hard links used to kill much philosophical, extensive supporters. A	Home	tables	3.70	2235.99	1.20
-AAAAAAAALIJAAAAA	Here popular cards ring just firm benefit	Home	tables	8.08	2810.55	1.51
-AAAAAAAALKNAAAAA	Political, widespread buses take so impossible voices. Buildings give adequately pas	Home	tables	3.06	103.36	0.05
-AAAAAAAAMABBAAAA	Light authorities melt therefore so real associations. Fortunes should loosen most only royal 	Home	tables	7.08	8241.23	4.43
-AAAAAAAAMGAEAAAA	Necessary countrie	Home	tables	10.28	5751.52	3.09
-AAAAAAAANAPAAAAA	Gently other places qualify rational matches. Definitely supreme circles answer corporate, notable pictures. Generous, strategic orders ought to address public days. Employees answer perh	Home	tables	4.95	758.94	0.40
-AAAAAAAAOBMCAAAA	Again secret 	Home	tables	6.39	7957.34	4.27
-AAAAAAAAOCIBAAAA	Irish, hard recordings cannot make overnight then whole games. Frequently front workers would not keep constant, educational rivers. Faces must take under to a cuts. Inc seed	Home	tables	4.97	2300.87	1.23
-AAAAAAAAOCNDAAAA	Intense, british novels ought to adapt more parties	Home	tables	2.68	667.05	0.35
-AAAAAAAAODCBAAAA	New, clear objects survive far vital standards; various solutions ought to require enough just weak goods. Raw, old arch	Home	tables	6.61	5028.24	2.70
-AAAAAAAAOEBAAAAA	Men decide also white rates. Established positions draw at all ch	Home	tables	1.94	786.63	0.42
-AAAAAAAAOFLCAAAA	Large counties would act tight on the seasons. Inside mass views would not combine then are	Home	tables	3.80	806.68	0.43
-AAAAAAAAOGOAAAAA	So dependent buildings provide; medical, expensive tools say years. Minor scales listen tomorrow in a teachers. Other, other childre	Home	tables	3.72	2246.50	1.20
-AAAAAAAAOLBDAAAA	Psychological, main wages would replace as a matt	Home	tables	3.57	666.38	0.35
-AAAAAAAAONHAAAAA	Constant individuals give so in a jobs. Quite given activities return too; as yet geographical figures investigate possibly. Public police prepare t	Home	tables	0.98	2501.80	1.34
-AAAAAAAAABPBAAAA	By now new rules follow here short proceedings. Low winners ought to look still fast k	Home	wallpaper	45.27	4875.71	1.80
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-AAAAAAAAAMDEAAAA	Areas prevent real	Home	wallpaper	1.65	15190.84	5.61
-AAAAAAAAAMLCAAAA	Things cover cheeks. Other minutes might take only white things. Recent, monetary activities come level, serious companies; e	Home	wallpaper	74.68	6420.50	2.37
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-AAAAAAAACCPDAAAA	Then prime players stop tonight more old difficulties. Good, harsh events meet about mysterious tables. Heavy, 	Home	wallpaper	8.34	7864.79	2.90
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-AAAAAAAACLMDAAAA	For example available procedur	Home	wallpaper	9.81	9659.11	3.57
-AAAAAAAAEGKCAAAA	Automatically opt	Home	wallpaper	9.44	6039.74	2.23
-AAAAAAAAEHJAAAAA	Hard roads seem prospective pp.. Distant years mi	Home	wallpaper	3.88	10201.19	3.77
-AAAAAAAAEMDBAAAA	Parents think real, previous minutes. Regional organs expect there red numbers. 	Home	wallpaper	0.29	1497.03	0.55
-AAAAAAAAFBOCAAAA	Old children consider fo	Home	wallpaper	75.57	12663.25	4.68
-AAAAAAAAFOFBAAAA	Very rare achievements could not say like the systems; rapid cells may not see conferences. R	Home	wallpaper	0.41	495.27	0.18
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-AAAAAAAAGECCAAAA	Representatives mean abruptly suddenly great cells. New, living rates see simply out of a styles. Terrible students import all public types; remarkably original costs try. 	Home	wallpaper	8.89	805.20	0.29
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-AAAAAAAAHEEEAAAA	Plans secure sometimes physical, clinical costs. Representative, front symbols achieve possibly supposed wages. Nevertheless essential 	Home	wallpaper	2.04	1044.40	0.38
-AAAAAAAAHOJBAAAA	W	Home	wallpaper	3.29	10436.17	3.85
-AAAAAAAAIEPBAAAA	Things compromise la	Home	wallpaper	60.74	4926.44	1.82
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-AAAAAAAAJKDAAAAA	Yet equal pa	Home	wallpaper	57.16	866.46	0.32
-AAAAAAAAJKNCAAAA	Problems drive relatively alone points. Armed voices used to face able, dry patients. Difficult events 	Home	wallpaper	2.13	85.80	0.03
-AAAAAAAAJMKDAAAA	Even main changes might not break great, new arms. Imaginative children accept then difficult, sure leaders. Questions market commercial girls. Libraries should win as other classes. Stars serve after	Home	wallpaper	7.77	7076.02	2.61
-AAAAAAAAKABAAAAA	Groups may not find only for a 	Home	wallpaper	8.59	3924.02	1.45
-AAAAAAAAKEFAAAAA	Social quantities shoul	Home	wallpaper	0.75	5578.00	2.06
-AAAAAAAAKHCEAAAA	Nearly clear countries will learn in addition over the ages; also interesting eyes exercise also available years. More b	Home	wallpaper	3.98	7564.07	2.79
-AAAAAAAAKLACAAAA	Economic elements can expose however. Social organisations can use ea	Home	wallpaper	2.38	15068.30	5.57
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-AAAAAAAAKPBAAAAA	Simply scottish corporations join whole, practical concerns. Ma	Home	wallpaper	6.27	3424.84	1.26
-AAAAAAAAKPBCAAAA	Other stars must credit. Scottish, anxious gardens used to wait hardly. Alternatively spectacular sales change with the aspects; harsh, other activities would m	Home	wallpaper	3.08	11304.94	4.18
-AAAAAAAALJLDAAAA	Black, trying systems help ever businessmen. Children illus	Home	wallpaper	3.09	4262.33	1.57
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-AAAAAAAALOFBAAAA	Black others should provide very in a systems. Overall whole animals will not learn secret, different agencies. Techniques used to borrow pu	Home	wallpaper	4.81	537.03	0.19
-AAAAAAAALOOBAAAA	Potential values ought to clear apart. Alarmingly like groups can board more unusual part	Home	wallpaper	2.91	5629.11	2.08
-AAAAAAAAMBPBAAAA	Animals will encounter other, young policies. Essential, useful changes li	Home	wallpaper	8.64	169.86	0.06
-AAAAAAAAMNDAAAAA	Successful, warm employers can show easily true, handsome brothers. Bad, great men return great, linguistic gardens. Both political tra	Home	wallpaper	4.16	4842.11	1.79
-AAAAAAAAOBCCAAAA	Current definitions reflect already soldiers. Children arrange fat, linear requirements. Open ideas lay poor, important forms. Other bars fall none	Home	wallpaper	1.71	5396.61	1.99
-AAAAAAAAOGDDAAAA	Open blue farmers reach useful, old arrangements. American, short years reach now tender, heavy neighbours. Now top boundaries would not enable emotions. Effectively specific 	Home	wallpaper	2.34	12652.80	4.67
-AAAAAAAAOHNAAAAA	German charges destroy later s	Home	wallpaper	6.78	4219.41	1.56
-AAAAAAAAOIMBAAAA	All 	Home	wallpaper	1.99	2643.49	0.97
-AAAAAAAAOMFDAAAA	So long times will hear; 	Home	wallpaper	1.09	10446.47	3.86
-AAAAAAAAAAMCAAAA		Sports		\N	488.92	3.99
-AAAAAAAAACLBAAAA	Actual, grey hands giv	Sports	archery	5.67	23636.76	6.96
-AAAAAAAAADGEAAAA	Little holy others need forward long days. Points should inform only british, silent appearances. Administrative services might not appear in full years. Babies gri	Sports	archery	3.84	1506.65	0.44
-AAAAAAAAAGEDAAAA	Statements continue here academic members; certain students kill apparently social, available l	Sports	archery	1.64	8612.24	2.53
-AAAAAAAAALDCAAAA	Fees should not fix initiall	Sports	archery	2.99	9631.69	2.83
-AAAAAAAAAMBEAAAA	Long seats should not come whole, available students. Possible, blue p	Sports	archery	1.48	894.00	0.26
-AAAAAAAAANDBAAAA	Weeks create sometimes with the problems. International qua	Sports	archery	2.36	924.63	0.27
-AAAAAAAAAPMBAAAA	Other, common needs could document hitherto hands; private, short consumers stand places. Things wish slow absent men	Sports	archery	2.51	453.18	0.13
-AAAAAAAABIDEAAAA	Practical, important lands discriminate much outstanding relations. Fine, overseas months stop fully fashionable attempts; great, important posts 	Sports	archery	1.99	6044.04	1.78
-AAAAAAAABKPCAAAA	Difficult, normal mothers must know a	Sports	archery	2.16	7566.04	2.23
-AAAAAAAACBAEAAAA	Then great boys would not overthrow better various, existing institutions. Unlikely, unable communists survive also applicable, other pictures. Outer, mental steps know today	Sports	archery	2.81	12211.68	3.59
-AAAAAAAACBLAAAAA	Years ought to eat past a advances. Beautiful, equal companies come long artistic ambitions. Services resume int	Sports	archery	3.36	9496.07	2.79
-AAAAAAAACCBDAAAA	Governors will collect systems. Objectives may feel however leading children. Conditions need locall	Sports	archery	4.66	12310.02	3.62
-AAAAAAAACDPCAAAA	Basic fingers vote even stupid notes. Black, electrical rates may swim evident things. 	Sports	archery	1.79	4230.58	1.24
-AAAAAAAACEMBAAAA	Parents would concede over particular months. Modern, useful sports shall not say prime, western hills. Recently small implications would not write certain flats. Primary, pot	Sports	archery	1.35	3825.51	1.12
-AAAAAAAACEPCAAAA	Public, limited pup	Sports	archery	9.38	21428.79	6.31
-AAAAAAAACGLAAAAA	Now full events should rain right. Matters will not write obvious, unlikely perceptions. Sure services treat often over important pr	Sports	archery	4.33	6373.53	1.87
-AAAAAAAADANDAAAA	Whole, small attacks used to see easy excellent flowers. Capital members could hear so to the conditions; less future children can go. Women would not hear only to a politicians. Different ways suit	Sports	archery	2.92	3393.23	1.00
-AAAAAAAAEAABAAAA	Customs conform nearly hot bones; british, low types would impose completely in the agreem	Sports	archery	1.74	8581.06	2.52
-AAAAAAAAEAMBAAAA	Personal users may make behind a units; very other questions feed still studies. Informal lives grow. Good, young officers could get possibly problems. More clear weeks continu	Sports	archery	8.02	1983.24	0.58
-AAAAAAAAEEFDAAAA	Forward certain words get responsible governors. Important, other systems could come now aspects. Even private groups may apply probably in	Sports	archery	2.65	5139.88	1.51
-AAAAAAAAEEJDAAAA	Annual, french authorities safeguard more german, random moments. Quick references feel; colleges	Sports	archery	4.22	4046.82	1.19
-AAAAAAAAEFCAAAAA	Eligible, stupid attitudes used to protect so. Alone, good sciences concentrate suddenly liable eyes. Revolutionary students should punch f	Sports	archery	0.35	1596.42	0.47
-AAAAAAAAEHEBAAAA	Vulnerable, poor requirements might not remember certainly foreign factors. Excellent days make indeed. Considerable theori	Sports	archery	1.71	18088.86	5.33
-AAAAAAAAEKFAAAAA	Reports introduce likewise ill, individual schools. Busy balls must belong determined responses. However outstanding services used to interpret quite from the arrangements. C	Sports	archery	0.14	447.67	0.13
-AAAAAAAAFAJCAAAA	Times should alleviate again whole positions.	Sports	archery	58.29	1966.25	0.57
-AAAAAAAAFDJCAAAA	Soon british records must tolerate often to a children. Forward, running women understand residential, necessary executives. Impossible, new classes should elect so remarkable yea	Sports	archery	2.05	11323.21	3.33
-AAAAAAAAGEMAAAAA	Rooms decide hardly successful, central r	Sports	archery	1.11	140.78	0.04
-AAAAAAAAGFIDAAAA	Normal times gi	Sports	archery	2.88	1377.51	0.40
-AAAAAAAAGIBEAAAA	Grateful, ru	Sports	archery	8.49	14874.67	4.38
-AAAAAAAAGIHCAAAA	Friendly, italian years return preferably ne	Sports	archery	8.16	14144.04	4.16
-AAAAAAAAHCDEAAAA	Famous, free cars develop 	Sports	archery	1.43	4434.08	1.30
-AAAAAAAAHIOCAAAA	Original, retail poems should ma	Sports	archery	0.77	1953.90	0.57
-AAAAAAAAIHLCAAAA	Different words	Sports	archery	9.77	14978.55	4.41
-AAAAAAAAJECBAAAA	Free, personal results find easily also equal tears. Necessary, l	Sports	archery	49.73	3647.29	1.07
-AAAAAAAAJOPCAAAA	Hence annual forces adapt often simultaneously inner children. Departments shall understand yet requirements. Major, local appoint	Sports	archery	1.96	12277.83	3.61
-AAAAAAAAKACCAAAA	Young teachers may feel indeed pale styles. Common, single families may not use now soviet, well-known appearances. Nuclear, great strangers used to tell in a me	Sports	archery	4.28	2579.66	0.76
-AAAAAAAAKCOCAAAA	Regional clothes can enjoy feet. Re	Sports	archery	8.58	35.36	0.01
-AAAAAAAAKFPCAAAA	Specific, irish features introduce even here obvious ranks. Essential, superb roads will extract; financial newspapers know professional, blu	Sports	archery	3.57	2896.88	0.85
-AAAAAAAAKMCBAAAA	Various, historic writers sign european, dramatic loans. Strange creatures get soon important, available techniques. Important years shall not know into an days. Here	Sports	archery	1.68	3178.51	0.93
-AAAAAAAAKPAEAAAA	Centres would advise here most joint types. Equal forms hear months.	Sports	archery	4.82	2588.78	0.76
-AAAAAAAAMCNBAAAA	Well working companies will sell metropolitan, running interests. Right relative children might refer even christian miners. Stages can analyse yards. Always afraid features will express 	Sports	archery	6.73	2374.29	0.69
-AAAAAAAAMENCAAAA	Reporte	Sports	archery	5.38	9065.89	2.67
-AAAAAAAAMFBCAAAA	So coastal schools add hard from a developments. Ready, large representatives moderate. There simple hundreds restructure greatly in the years. Only other changes would try ago ill inevitable clo	Sports	archery	1.36	4392.00	1.29
-AAAAAAAAMGFDAAAA	Even fair politicians put surely s	Sports	archery	9.58	7394.94	2.18
-AAAAAAAAMHPAAAAA	Available centres go in a ears. Arrangements cannot stay expectations. French buildings used to use now ago ex	Sports	archery	9.81	6679.44	1.96
-AAAAAAAAMIFBAAAA	Calls used to eradicate here national, old knees. Able, english opinions afford concepts. Vital, commercial cigar	Sports	archery	6.82	8801.79	2.59
-AAAAAAAAMLCEAAAA	Then strategic things help stiff main participants. Values would speak really with the camps; roman, old interests reflect all horses. Important, square yards may explain independent programmes	Sports	archery	83.23	517.82	0.15
-AAAAAAAAMLIBAAAA	High relationships improve. Names should not grip also on the problems. Future, ready hands will rot. Activities might not risk well right increases. Sudden, great circumst	Sports	archery	0.57	3438.97	1.01
-AAAAAAAAMMJBAAAA	Actual, japanese successes ought to put. Studies shall make out of a observers. Public, dangerous ideas must stop blue, soft men. Shy, relevant pounds feel surprisingly old criteria; interested yea	Sports	archery	2.89	5965.90	1.75
-AAAAAAAANDPDAAAA	Inside previous duties try further. Though ready figures	Sports	archery	1.67	5837.27	1.72
-AAAAAAAAOLMDAAAA	Degrees need sometimes by the titles. Stages make into the profits. All right new parties shall support recently american british contracts;	Sports	archery	8.05	12649.46	3.72
-AAAAAAAAPIFAAAAA	Very short foundations would work as. Daily comfortable shareholders take very instruments	Sports	archery	4.72	7278.17	2.14
-AAAAAAAAAEFEAAAA	Large, different benefits might not get stands. Unpleasant, finan	Sports	athletic shoes	7.56	1809.36	0.58
-AAAAAAAABJLBAAAA	Marginal expectations will manage significantly months. Hardly friendly points oug	Sports	athletic shoes	14.94	8056.74	2.59
-AAAAAAAABKBBAAAA	Obvious, concerned risks identify so. Single, valid hills could restore policies; eyes can get still. Large sales should bring still primary, main	Sports	athletic shoes	66.30	420.75	0.13
-AAAAAAAABMKCAAAA	Effective times sell machines. Comments could not set. British, fresh aspects shall not ensure here young, human organizations. Only, other centres could join in a sections. Clear purposes may	Sports	athletic shoes	4.00	6266.48	2.01
-AAAAAAAACEICAAAA	Experiments may find there political groups. Groups take on a structures. Ministers stop gentl	Sports	athletic shoes	1.49	3221.53	1.03
-AAAAAAAACHKAAAAA	Laws propose policies. Commercial, foreign restaurants could take. District	Sports	athletic shoes	84.97	3439.91	1.10
-AAAAAAAACHOAAAAA	Again known 	Sports	athletic shoes	0.26	1129.54	0.36
-AAAAAAAACPAAAAAA	Industrial, delighted sounds can kill further regional, personal vegetables; both real companies will experiment once minimum, overall leaders. Difficult, helpful supporters shoul	Sports	athletic shoes	1.76	8993.44	2.89
-AAAAAAAACPJDAAAA	No longer positive problems prove. Fair british men has	Sports	athletic shoes	6.38	5118.47	1.64
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-AAAAAAAAEBMCAAAA	Reactions will	Sports	athletic shoes	4.49	1627.32	0.52
-AAAAAAAAEFNDAAAA	No longer complex limitations might conduct lightly in the persons; notions imagine often	Sports	athletic shoes	4.67	655.20	0.21
-AAAAAAAAFDIDAAAA	Nearly practical structures close considerable, perfect	Sports	athletic shoes	5.60	637.70	0.20
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-AAAAAAAAFPHBAAAA	Other, royal parents might not proceed professional, similar transacti	Sports	athletic shoes	5.17	13817.93	4.44
-AAAAAAAAGADCAAAA	New, good opportu	Sports	athletic shoes	4.99	6830.62	2.19
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-AAAAAAAAGBOBAAAA	Religious, industrial rules will become still solely major 	Sports	athletic shoes	4.01	785.89	0.25
-AAAAAAAAGEHAAAAA	Details design well with th	Sports	athletic shoes	3.01	3416.16	1.09
-AAAAAAAAGHIBAAAA	Young subjects could bring necessarily; things protect for a employers. 	Sports	athletic shoes	4.35	839.76	0.26
-AAAAAAAAHCKAAAAA	Industrial, remote members would suppose even on a references; doctors turn under the districts; simply current subjects involve small te	Sports	athletic shoes	5.90	917.10	0.29
-AAAAAAAAHFAEAAAA	Vital, s	Sports	athletic shoes	6.42	4977.79	1.60
-AAAAAAAAHMFBAAAA	Running, intense things improve sure members. Permanent, certain leaders seal decisions.	Sports	athletic shoes	1.73	2949.06	0.94
-AAAAAAAAHNBBAAAA	Corporate, nucl	Sports	athletic shoes	8.99	21170.44	6.80
-AAAAAAAAIIFCAAAA	Properly recent consultants fly more poor writings. Unusual jobs used to suggest as well right black fans. Adequate eyes cannot provide only to 	Sports	athletic shoes	4.70	9980.77	3.20
-AAAAAAAAJCDCAAAA	Parties may not happen long wages. Bizarre, military trusts could s	Sports	athletic shoes	1.58	1459.14	0.46
-AAAAAAAAJGPBAAAA	Able, main parties think really. Resources arrive only independent, old representations. Small, double advantages 	Sports	athletic shoes	2.38	641.66	0.20
-AAAAAAAAJHIBAAAA	Ever impressive sounds shall not decide long cards. Readers accept still w	Sports	athletic shoes	2.46	2385.40	0.76
-AAAAAAAAJLBEAAAA	Important, old communities declare more successful, private members. In	Sports	athletic shoes	1.37	6829.08	2.19
-AAAAAAAAKBMCAAAA	Widesp	Sports	athletic shoes	4.73	9448.74	3.03
-AAAAAAAAKBNCAAAA	Current, interior shops show most for a sciences. Forces could hold much	Sports	athletic shoes	2.87	10471.96	3.36
-AAAAAAAAKGMBAAAA	Now interested centres might obey yet objectives. Schools finish proposed, worthwhile areas. Simple, wide account	Sports	athletic shoes	55.70	6933.69	2.22
-AAAAAAAAKKPDAAAA	Concessions can consider then concerned problems. Then political methods call effectively significant, disabled words; employers would remain instead wild cuts. Central own	Sports	athletic shoes	4.44	4799.34	1.54
-AAAAAAAAKLBBAAAA	Questions would succeed never remains. Early host	Sports	athletic shoes	0.79	7472.79	2.40
-AAAAAAAALGNBAAAA	Straig	Sports	athletic shoes	46.34	21073.19	6.77
-AAAAAAAALIMAAAAA	Months get due in the revenues. Only important parties walk civil, respective vehicles; cultural courses would not count commercial, labour actions; major politicians shall come hopefully r	Sports	athletic shoes	1.68	6022.35	1.93
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-AAAAAAAALOIBAAAA	Available, personal relations would decline rad	Sports	athletic shoes	5.36	2871.88	0.92
-AAAAAAAALPEEAAAA	Forms find more 	Sports	athletic shoes	6.56	2365.78	0.76
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-AAAAAAAAMECEAAAA	Then military letters give british, rural lips. Things begin wistfully stages. Magnificent women use medical rates. Visible, absolute relationships emerge basically lengthy 	Sports	athletic shoes	3.27	3294.00	1.05
-AAAAAAAAMFFEAAAA	Main eyes pay enterprises. D	Sports	athletic shoes	0.94	179.47	0.05
-AAAAAAAAMJIDAAAA	Sources seek in the ministers. Cells might not keep neatly extra woods. New, little neighbours convince really for a minutes; words give both primary	Sports	athletic shoes	1.82	814.77	0.26
-AAAAAAAAMMICAAAA	Books can focus for a activities. Voices should not feel months. Rough nurses ought to rush in a residents. Experiences must describe british considerations. Difficult mem	Sports	athletic shoes	2.61	7223.88	2.32
-AAAAAAAAMNEDAAAA	Leaders fit mild, dry mechanisms. Hours might involve much weeks. Years help too over top pupils. Earlier other years will remain little schools. Topics 	Sports	athletic shoes	9.99	6200.21	1.99
-AAAAAAAAMOGCAAAA	Events could play instead silly, strong musicians. Regions shall not reduce however to a 	Sports	athletic shoes	6.15	4942.20	1.58
-AAAAAAAAMPABAAAA	Original, recent armies must not back firms. Physical, valid women shall consider young, interested animals. British, new responses shall become brilliantly references. Outstanding, due cases sh	Sports	athletic shoes	1.72	5082.20	1.63
-AAAAAAAANDFBAAAA	Negotiations could not know true effects. Rich visitors will think inc, foreign lists. Significantly only elements flourish already; companies remember habits. Difficult, occupational 	Sports	athletic shoes	8.37	72.94	0.02
-AAAAAAAANGPAAAAA	Particular, new defences ought to defer modern studies. Methods ought to plant 	Sports	athletic shoes	6.46	3867.92	1.24
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-AAAAAAAAOCJDAAAA	Industrial, pleased arms choose at all legal, industrial 	Sports	athletic shoes	3.43	3642.15	1.17
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-AAAAAAAAOFGAAAAA	Main, agricultural issues mature usually terms. Powers return units. Long stairs feel below there superb nurses; various hours add musical, polite hotels; firms make very. As other defences may s	Sports	athletic shoes	2.14	6526.80	2.09
-AAAAAAAAOFOBAAAA	Concerned, small activities must seem also times. Already international firms used to maintain into a standards. 	Sports	athletic shoes	4.68	1881.69	0.60
-AAAAAAAAOHMBAAAA	At last enthusiastic units make; very formal goods apply somewhat running years; re	Sports	athletic shoes	34.87	5824.43	1.87
-AAAAAAAAOKOAAAAA	Heads get thus difficult supporters; big develop	Sports	athletic shoes	0.87	2249.24	0.72
-AAAAAAAAOLPAAAAA	Past professionals refer openly into the factories. Free, subjective proceedings make for example senior, important conservatives. Sites suspe	Sports	athletic shoes	4.13	687.79	0.22
-AAAAAAAAOMHCAAAA	Full, japanese planes make par	Sports	athletic shoes	84.35	669.76	0.21
-AAAAAAAAOPIBAAAA	So red letters call properties. Both soviet organisations render little years. High days keep far possi	Sports	athletic shoes	30.39	6752.08	2.17
-AAAAAAAAPBPDAAAA	Layers will think also like a restrictions. Labour technologies introduce perhaps then average arms. More curious seasons play below doubtful 	Sports	athletic shoes	5.50	5816.35	1.86
-AAAAAAAAPDBAAAAA	Cold, early wings mind like a columns. Women suffer; under new intervals come financial, level professionals. Countries shape. Of course international leg	Sports	athletic shoes	0.45	11475.90	3.68
-AAAAAAAAPGGBAAAA	Pictures ought to run. Bad, public workers pr	Sports	athletic shoes	24.80	6551.61	2.10
-AAAAAAAAPIMCAAAA	Low purposes used to serve gradually. Practices may not come now other, basic children. White, close homes commission competent symptoms; blues ought to take now extremely interest	Sports	athletic shoes	2.56	8206.37	2.63
-AAAAAAAAAAPBAAAA	At 	Sports	baseball	3.68	26967.08	7.98
-AAAAAAAAAFECAAAA	Secondary, middle arms make social, light aims. So as mysterious police take final, other cards. Used ways can happen nearly different prices. Considerably financial priorities may harm solutions	Sports	baseball	26.35	12698.37	3.75
-AAAAAAAAAGOAAAAA	Then positive unions used 	Sports	baseball	8.27	2814.96	0.83
-AAAAAAAAAJEBAAAA	Supposedly young friends show only common steps. Well li	Sports	baseball	60.66	9466.88	2.80
-AAAAAAAAALFAAAAA	Constant employees interfere from the rooms. Simply small awards would not relocate as well widespread minerals. Old, public schools would	Sports	baseball	5.85	5633.47	1.66
-AAAAAAAAALNBAAAA	Sexual procedures should run emotions. Names may help. So scottish minutes consider initially high services. Together young millions complete sets. Old employees	Sports	baseball	1.94	4885.64	1.44
-AAAAAAAAAOCDAAAA	Special	Sports	baseball	3.63	6243.21	1.84
-AAAAAAAAAPBEAAAA	Gentle, main differences need to a be	Sports	baseball	0.83	1720.88	0.50
-AAAAAAAAAPEAAAAA	Men would find above awards. Really true homes spend since cautious points. Essenti	Sports	baseball	0.57	160.07	0.04
-AAAAAAAAAPHBAAAA	Suitable, historical workers sign too always different boxes. Good, unique lessons remain facilities; increasingly old persons find very nervous hills; small provi	Sports	baseball	8.00	3865.29	1.14
-AAAAAAAAAPKAAAAA	Good democrats behave a little american, good homes. Clients press at all industrial homes. Other variables must not look very initiatives. Glad, traditional children shall exchange. Pe	Sports	baseball	5.42	17863.74	5.28
-AAAAAAAABFGBAAAA	Sympathetic, ready buses bump however specific buil	Sports	baseball	3.24	784.36	0.23
-AAAAAAAABLDBAAAA	Ministers may recognize local problems. As a whole similar eyes meet very long-term tea	Sports	baseball	3.43	2666.64	0.78
-AAAAAAAACBKAAAAA	Associations could go in a copies. Patterns settle horses. Indicators shall not pursue. Years find carefully particular flowers; fresh demands used to know most; later patient products	Sports	baseball	4.97	517.45	0.15
-AAAAAAAACEKDAAAA	Always reliable records say both by the problems; researchers shall not sail somewhat good, environmental legs. Else welcome germans must afford centuries. European, exceptional women would suppos	Sports	baseball	23.91	720.80	0.21
-AAAAAAAACINCAAAA	Natural parts design much years; comparatively tall details should operate consistent, pregnant homes. Logical, social options evaluate yesterda	Sports	baseball	3.12	11329.00	3.35
-AAAAAAAACJEEAAAA	Western schemes matter on a transactions. French experiences tell here for a affairs. Wide main assets penetrate always images. Ev	Sports	baseball	32.61	4944.10	1.46
-AAAAAAAACNIDAAAA	Major faces cannot support now all official parties. Recent, popular rows might not regret with the prices. More large items argue. Schools purchas	Sports	baseball	97.49	1043.81	0.30
-AAAAAAAADBGAAAAA	Useful, poor keys can make on a matters. Favorite, other degrees know here other lights. Intellec	Sports	baseball	4.32	623.22	0.18
-AAAAAAAADIPCAAAA	Children should incorporate nearly confident activities. Additional benefits will 	Sports	baseball	0.41	2719.20	0.80
-AAAAAAAADOEBAAAA	Manufacturers cannot think more positive copies. Seats explain in a doctors. Env	Sports	baseball	8.14	826.20	0.24
-AAAAAAAAECACAAAA	Comments must not offer; valuable, annual centres shoul	Sports	baseball	9.51	1855.48	0.54
-AAAAAAAAEOMBAAAA	Corporate, only hopes used to anger in general foods; present, roman talks will apply effec	Sports	baseball	4.27	4603.46	1.36
-AAAAAAAAFCDDAAAA	Extremely safe products make. Obvious lights lock flames. Discussions could n	Sports	baseball	7.54	2959.73	0.87
-AAAAAAAAFFBCAAAA	Illustrations	Sports	baseball	0.54	9795.51	2.89
-AAAAAAAAGACDAAAA	Courses walk less than in a effects. Corners introduce therefore distinct members.	Sports	baseball	1.89	4949.75	1.46
-AAAAAAAAGCPDAAAA	Activit	Sports	baseball	1.51	13643.44	4.03
-AAAAAAAAGDFCAAAA	Political, va	Sports	baseball	4.54	13469.88	3.98
-AAAAAAAAGIEBAAAA	Unknown indians may wind still	Sports	baseball	88.12	10336.10	3.05
-AAAAAAAAGKEDAAAA	Reforms might create generally french fingers. New, other flowers win then red, perfect thoughts. Most present sessions may go as only, genuine states. Years w	Sports	baseball	7.98	8303.36	2.45
-AAAAAAAAGPHDAAAA	Brilliant ships see individually also small ministers. Expected, competitive attitudes may send there gross metres; units used 	Sports	baseball	2.00	5149.64	1.52
-AAAAAAAAHKJCAAAA	However short-term parties create thanks; exotic, normal nerves see. New, healthy machines can satisfy possibly new positions. Completely internal signs	Sports	baseball	5.52	2655.88	0.78
-AAAAAAAAIGEBAAAA	Proposed members would cut dangerously different years. Corresponding, special hundreds get so able, horrible teachers. As social do	Sports	baseball	5.87	7768.56	2.29
-AAAAAAAAIJNBAAAA	Equal situations write very in the tears. Long representative 	Sports	baseball	4.24	5637.76	1.66
-AAAAAAAAIMOAAAAA	Just live roads bother firmly future parts. Sexual times distinguish; wages s	Sports	baseball	0.97	8904.27	2.63
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-AAAAAAAAKMFCAAAA	Usual, little copies j	Sports	baseball	5.06	1537.29	0.45
-AAAAAAAAKNLAAAAA	Following questions might take foreign boots. Finally white boundaries mu	Sports	baseball	1.68	2192.66	0.64
-AAAAAAAAMDLCAAAA	Areas may happen more. Able, other detectives turn here more little rights; wonderful, political incentives shall think currently out a increases. Services despise more politicians. New orga	Sports	baseball	3.64	1638.52	0.48
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-AAAAAAAANILCAAAA	New rocks might not assist. Poor fields cope. Even critical patients cannot change. Police rain to the hundreds. Tears want english, large feelings. German, tradition	Sports	baseball	2.72	1591.02	0.47
-AAAAAAAANNFDAAAA	Corporate, general events see outwards old feet. Early windows receive. Skills achieve scottish, wrong 	Sports	baseball	98.36	10690.97	3.16
-AAAAAAAAOEFDAAAA	Now main streets ought to lift streets. Cars see peoples. Black governments enter sudden theories. Different, vulnerable events could not help bills. Designs see wit	Sports	baseball	6.21	3357.24	0.99
-AAAAAAAAOFNCAAAA	Police thank either practices; at present young residents can 	Sports	baseball	2.22	2554.17	0.75
-AAAAAAAAOIJAAAAA	Social, possible opportunities should not stop so still increased groups. Of course great men set usually back rights. Regulations put. Mag	Sports	baseball	3.95	8097.42	2.39
-AAAAAAAAOJNCAAAA	Likely eggs should feel hardly taxes. Proud, beautiful protests separate tory change	Sports	baseball	2.30	5161.19	1.52
-AAAAAAAAOLHDAAAA	All dead months consent recently open schemes. Ph	Sports	baseball	3.96	2949.10	0.87
-AAAAAAAAPBGAAAAA	Individuals will think really recent minutes. Rightly political problems may not consider	Sports	baseball	0.58	6140.36	1.81
-AAAAAAAAPEBCAAAA	English authorities can take; sometimes mental eyes know quickly; immediate jobs should think below critical villages. Red, international diff	Sports	baseball	1.36	12144.34	3.59
-AAAAAAAAPFOAAAAA	Less western communities make nearer customs; now potential speakers would get separate, unchanged homes. Conditions help elderly, high votes. Souther	Sports	baseball	8.65	13345.09	3.94
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-AAAAAAAAAAHAAAAA	Likely doctors give most. Awful problems att	Sports	basketball	2.16	4193.00	1.71
-AAAAAAAAABMDAAAA	Years might not arrive available years; prime studies might show only, different laws. Weeks should review particularly men. Available, afraid operations obtain later free, cr	Sports	basketball	1.51	161.91	0.06
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-AAAAAAAACJECAAAA	Other conditions m	Sports	basketball	35.25	10400.73	4.25
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-AAAAAAAAEDMDAAAA	Then happy bars will know largely to a personnel. Just good reasons would hear bills; internation	Sports	basketball	3.55	14789.15	6.04
-AAAAAAAAEFDBAAAA	Councils sort good, firm negot	Sports	basketball	8.19	5020.84	2.05
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-AAAAAAAAEIBDAAAA	Other days mean inside at a standards. So current details leave so left properties. Regulations ensure heavy children. Sure local horses would turn other, international conditions.	Sports	basketball	65.30	2231.67	0.91
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-AAAAAAAAGNFCAAAA	Natural, particular books feed home to a police. Authorities used to play adequately. Children adapt 	Sports	basketball	7.95	11221.51	4.58
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-AAAAAAAAHLLCAAAA	More full messages behave chips. Professionals must know high tenants. Light clothes must answer values.	Sports	basketball	0.97	5099.30	2.08
-AAAAAAAAICGDAAAA	Chief pers	Sports	basketball	4.92	5710.20	2.33
-AAAAAAAAIDFBAAAA	Too successive affairs ought to know. Obvious women	Sports	basketball	6.01	4303.13	1.75
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-AAAAAAAAJBGDAAAA	Systems permit; things give 	Sports	basketball	3.81	4797.81	1.96
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-AAAAAAAAJLDCAAAA	Parliamentary courts make cases; new parents might pitch following parts. Romantic children give simply old, genetic pools. Centu	Sports	basketball	90.55	7255.71	2.96
-AAAAAAAAKBHBAAAA	National stages get only eager forms. Most bad eyes will not get by no m	Sports	basketball	2.86	3863.31	1.57
-AAAAAAAAKEIDAAAA	So much as close reforms would hide at first measures; alone, important contracts lose linguisti	Sports	basketball	2.37	1082.93	0.44
-AAAAAAAAKICCAAAA	Black laws get accordingly eyes. Tightly rural systems trust heavily coming tests; personal, bad boards go. Electric looks may not rec	Sports	basketball	9.05	1302.42	0.53
-AAAAAAAAKPCBAAAA	Together valid methods must limit; mild, american policemen 	Sports	basketball	5.82	1157.96	0.47
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-AAAAAAAALEEDAAAA	Centres will serve american, accurate variables. Members give near in a measures. Head homes will not come serious, clear areas. More true principles dismiss specifically per a p	Sports	basketball	7.54	5312.09	2.17
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-AAAAAAAANIFCAAAA	Terrible, new bills swap hardly 	Sports	basketball	3.53	1690.99	0.69
-AAAAAAAAOBKBAAAA	Fellow, great costs may see elderly, similar months. National, public operations ignore finally. Regulations may return badly close, sophisticated schools. Northern materials 	Sports	basketball	0.37	7539.40	3.08
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-AAAAAAAAOENAAAAA	Companies will render only in the prices. Medium, australian others would not decide certain institutions; possible paintings may approach c	Sports	basketball	3.08	984.64	0.40
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-AAAAAAAABAMAAAAA	Courts vary new, chinese weeks. B	Sports	camping	84.72	402.60	0.07
-AAAAAAAABHBEAAAA	British pubs should not get well heavy, good studies. Environmental examples cause as intensive men. Best long programmes must occupy now functional moving years. High, dear women gain very 	Sports	camping	5.01	7405.92	1.42
-AAAAAAAACACBAAAA	Traditional, concerned cases say more now tough minutes. New pictures stop by a letters. Shareholders cannot teach over average, physical memor	Sports	camping	8.53	5705.44	1.09
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-AAAAAAAACEODAAAA	Commercial regulations shall tell free, necessary children. Effective, convincing issues aid from the students. Goods o	Sports	camping	4.63	23894.49	4.58
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-AAAAAAAACJIAAAAA	Prisoners must not end well. Hope	Sports	camping	0.96	3563.24	0.68
-AAAAAAAACLFEAAAA	Young, nation	Sports	camping	0.49	7131.74	1.36
-AAAAAAAACNCDAAAA	Previously special streets operate so e	Sports	camping	3.57	5035.02	0.96
-AAAAAAAACNKAAAAA	Probably new women should not enter differently. Rare, public letters take reasons. Councils receive similarly social minutes. Plants pr	Sports	camping	6.67	23140.78	4.44
-AAAAAAAADCNBAAAA	Writers would decrease however in a problems. Elsewhere standard areas 	Sports	camping	8.82	2730.00	0.52
-AAAAAAAADDPBAAAA	Permanently good days progress really alternative plans. Small, sexual techniques ret	Sports	camping	9.85	6010.03	1.15
-AAAAAAAADKIBAAAA	Muscles end obviously other sources. Major links prevent both to a lines. Devices might produce only different conferences. Favorite candidates a	Sports	camping	4.86	7406.83	1.42
-AAAAAAAADNGDAAAA	Active windows shall not find small, relig	Sports	camping	5.51	10781.24	2.07
-AAAAAAAADOHBAAAA	Special, other rig	Sports	camping	4.34	14832.82	2.84
-AAAAAAAAEBIBAAAA	Properties might follow muc	Sports	camping	1.82	10358.19	1.98
-AAAAAAAAEKNBAAAA	Scientific, different sides bring major, h	Sports	camping	3.54	8040.44	1.54
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-AAAAAAAAFPCDAAAA	Days spend directly directly extraordinary duties. Small, low exports would not draw well nevertheless comparable gains; minutes prevent insid	Sports	camping	3.54	16480.19	3.16
-AAAAAAAAFPLDAAAA	Unusual, victorian readers may open however tons. Worldwide special russians should get however items. Most divine flats 	Sports	camping	7.57	4759.55	0.91
-AAAAAAAAFPOAAAAA	Certain, clear parties lead most about a volumes. Difficult, asian children should catch; pro	Sports	camping	4.56	10756.10	2.06
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-AAAAAAAAGPCCAAAA	Even real wheels could crumble new, industrial plants. Almost mass blacks tend really. Mediterranean changes turn false too local police. More than conventional servic	Sports	camping	4.68	4737.75	0.90
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-AAAAAAAAIAKBAAAA	Families avoid indian hills. Lists bring exactly pregnant, free managers. Social, overall bones may prolong again ancient, whole days. Therefore alive years provide then unfair cour	Sports	camping	9.41	9616.71	1.84
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-AAAAAAAAIGPCAAAA	Currently clear days reduce then stations. Inner, academic steps see at a facts. Old techniques see farmers; simply private men used to begin for the boots. Eas	Sports	camping	0.66	14443.42	2.77
-AAAAAAAAIKPBAAAA	Grand, great services shall refrain wooden, sure years; molecular possibilities get. Unusual, physical paintings make educational, hard papers. Rates renew; severe 	Sports	camping	0.40	18811.17	3.61
-AAAAAAAAIPPDAAAA	Remaining w	Sports	camping	4.65	12413.70	2.38
-AAAAAAAAJFIDAAAA	Things can r	Sports	camping	7.52	7918.69	1.52
-AAAAAAAAKAFCAAAA	Emotional women can raise excessively normal, monetary years. Private, regular families intensify thus with a lectures. Temporarily personal shoulders call rather apparent, post-war words	Sports	camping	2.17	11244.31	2.15
-AAAAAAAAKCBDAAAA	Right, daily meals say someti	Sports	camping	96.35	15098.80	2.90
-AAAAAAAAKCBEAAAA	Problems shall leave rapidly real sales. Just fo	Sports	camping	1.46	12835.95	2.46
-AAAAAAAAKFFAAAAA	Full-time, lovely miles employ home. Regular assets may not protect much for the relationships. So good guidelines may care small figures. Financial, happy parents call also much real op	Sports	camping	51.70	9035.24	1.73
-AAAAAAAAKHFEAAAA	Adequate parties may not post less strange services. Universities obtain well identical options. Pleased, chief women might force mad seats. Separately angry languages may not live from a visit	Sports	camping	3.83	4985.92	0.95
-AAAAAAAAKIACAAAA	Then different matters shall not dare legally british pupils. Detailed, royal chapters must not mention quite in the sites. Costs take reasonably remote students. Systems return only now interesting 	Sports	camping	2.55	9524.89	1.82
-AAAAAAAAKJDEAAAA	Constitutional, high books see of course extra rivers. Fields undergo for the students. Teachers contend characteristics. Only messages must not defend only; unusual birds may not stay sectio	Sports	camping	0.29	10912.19	2.09
-AAAAAAAAKKAAAAAA	Broad members see accurately guilty, public thanks; others meet close slowly sophisticated difficulties. Trees can search more large chains. 	Sports	camping	1.65	4679.38	0.89
-AAAAAAAAKLCAAAAA	Disastrous, other concessions surprise heavy cars; now economic homes place; sudden, social results may get raw, just publications. Only awful condition	Sports	camping	2.43	6078.05	1.16
-AAAAAAAAKOBDAAAA	Low, severe persons keep public, mad employers. Always modern children go by a schemes. In particular national items rise fully widespread, powerful miles. Extremely southern costs design sett	Sports	camping	9.08	7918.12	1.52
-AAAAAAAAKOHBAAAA	Defiantly positive parts work only already global connections. Political, historical pages estimate appr	Sports	camping	7.84	8415.42	1.61
-AAAAAAAAMEGEAAAA	Ag	Sports	camping	2.85	14559.70	2.79
-AAAAAAAAMHHCAAAA	Later sure estates give long wonderful signs. Wide divisions warm with a observers. Formal, necessary colleg	Sports	camping	2.57	3402.36	0.65
-AAAAAAAAMJKBAAAA	References may not move deep on a sites. Almost other files can try quite welsh camps. Internal, certain bonds must remain never for ever immediate lin	Sports	camping	2.95	125.55	0.02
-AAAAAAAAMNJAAAAA	American, liberal minerals may no	Sports	camping	4.32	4183.80	0.80
-AAAAAAAANBDCAAAA	Hours should look very usually darling men. Single pounds would see else results. Tired courts may not improve wide records; findings ca	Sports	camping	3.81	5553.14	1.06
-AAAAAAAANKIAAAAA	Methods used to perform eggs; now good years diversify only 	Sports	camping	8.37	5640.71	1.08
-AAAAAAAAOAACAAAA	Usual, financ	Sports	camping	20.92	3913.34	0.75
-AAAAAAAAODKBAAAA	Brief years sound neither at a payments. P	Sports	camping	6.85	499.00	0.09
-AAAAAAAAOKABAAAA	Ever long elements used to obtain equ	Sports	camping	5.88	14641.16	2.81
-AAAAAAAAOKCCAAAA	Sentences can belong as. Prime, british records might imagine also teachers. Countries can	Sports	camping	3.57	7495.36	1.43
-AAAAAAAAOKEAAAAA	Roman lines talk children. Parties account exactly toward	Sports	camping	4.28	104.52	0.02
-AAAAAAAAPAOCAAAA	Industrial states choose p	Sports	camping	2.71	1518.50	0.29
-AAAAAAAAPPCCAAAA	Pleasant kinds would not seek opportunities. Local methods react home excellent, video-taped cars. Most ideal signs suggest very on a areas. Often easy developments visit rates. Relig	Sports	camping	5.79	12605.47	2.42
-AAAAAAAAPPDEAAAA	Authorities design through a individuals. Temporary, int	Sports	camping	95.84	14931.20	2.86
-AAAAAAAAAEPAAAAA	Causes	Sports	fishing	3.57	2974.41	1.01
-AAAAAAAAAIEBAAAA	More than small councils might not go also i	Sports	fishing	0.91	1055.22	0.36
-AAAAAAAAAKDBAAAA	Discussions could spend somewhere likely rights. Personal things end typic	Sports	fishing	3.46	2298.15	0.78
-AAAAAAAAAKOBAAAA	Wings deal. Free restrictions think t	Sports	fishing	3.49	28.56	0.00
-AAAAAAAAAPACAAAA	Good, physical events should bu	Sports	fishing	3.35	7863.49	2.68
-AAAAAAAABEMCAAAA	Evident roots think below; specialist beds join marked roads. Well as	Sports	fishing	1.61	11701.34	3.99
-AAAAAAAACCOCAAAA	Late different horses ought to 	Sports	fishing	5.78	223.46	0.07
-AAAAAAAACDCDAAAA	Requirements might not set so. Capable, usual resources 	Sports	fishing	4.68	1818.50	0.62
-AAAAAAAACIAAAAAA	Really original police could not cope nearly. Trusts will give. Conventional, positive pool	Sports	fishing	1.70	5056.94	1.72
-AAAAAAAACIADAAAA	Also general goals please deeply dirty, invisible functions. Estimated, expensive clients will recover never like a police. Emissions would 	Sports	fishing	6.61	2189.70	0.74
-AAAAAAAACJACAAAA	Even administrative parties should spend customs. Mothers can make sometimes now model governments. National, full dogs know notably both common chil	Sports	fishing	0.39	2819.92	0.96
-AAAAAAAACNCAAAAA	Already other elements will not matter statistically others. Guns ex	Sports	fishing	3.38	1000.54	0.34
-AAAAAAAADDGEAAAA	New photographs will review too once mysterious details. New wings may not go nearly specific child	Sports	fishing	0.66	5718.03	1.95
-AAAAAAAADEDAAAAA	Only likely practitioners pay simply. Solid horses must push shows. Foreign, furious pairs might not approach in a patients. Days sound shortly therefore local instructions. Under slim yea	Sports	fishing	5.52	7992.75	2.72
-AAAAAAAADGJBAAAA	Sure companies secure to and fro unnecessa	Sports	fishing	2.84	6035.00	2.05
-AAAAAAAADICDAAAA	Unemployed questions place too dull cha	Sports	fishing	8.07	2799.83	0.95
-AAAAAAAADKDDAAAA	British services benefi	Sports	fishing	2.03	972.01	0.33
-AAAAAAAAEBBEAAAA	Systems may say strong properties. Open, clear rocks used to occupy together revolutionary, large fears. Females enjoy able, continuing bits. Known, funny t	Sports	fishing	3.02	8388.49	2.86
-AAAAAAAAEBECAAAA	Eastern, rural activities mak	Sports	fishing	1.60	12084.70	4.12
-AAAAAAAAEDAEAAAA	For example red forms may sing most particularly f	Sports	fishing	6.18	70.06	0.02
-AAAAAAAAEDGAAAAA	Only expected governments used to describe; institutions can make bad, industrial years. Decidedly basic enemies must not send shortly maybe like reports; clearly free systems used to order ital	Sports	fishing	2.45	132.72	0.04
-AAAAAAAAEIABAAAA	Really foreign workers overcome asleep, young decades. Drugs may tell children; labour, real wages ev	Sports	fishing	4.24	1629.62	0.55
-AAAAAAAAELBBAAAA	Free notes cannot ensure temporary things. Etc presidential purposes must not red	Sports	fishing	0.94	4881.22	1.66
-AAAAAAAAEMDEAAAA	Deep, similar relati	Sports	fishing	6.02	3397.20	1.15
-AAAAAAAAFDACAAAA	Essential memories continue dreams; average places administer respons	Sports	fishing	4.50	241.01	0.08
-AAAAAAAAFDLDAAAA	Competent parents represent; even legal	Sports	fishing	2.84	8552.06	2.91
-AAAAAAAAFNHDAAAA	Similar pieces add all truly easy dangers. Opening, main regulations cannot happen saving no versions. Previous lights shall not skip too. As foreign periods can	Sports	fishing	9.24	5281.29	1.80
-AAAAAAAAFNICAAAA	Alrea	Sports	fishing	9.31	1608.51	0.54
-AAAAAAAAGBDBAAAA	Sweet securities see a little in short large shareholders; already reasonable hands use	Sports	fishing	1.11	3172.79	1.08
-AAAAAAAAGOLAAAAA	Rich managers used to proceed; therefore conservative models used to sell with a needs. Royal reasons ought to need cha	Sports	fishing	2.34	2926.96	0.99
-AAAAAAAAIEBEAAAA	Historic, basic services compete almost services. Customers must happen tight regarding a companies. Pupils see well. Now	Sports	fishing	2.97	15611.05	5.32
-AAAAAAAAJLIDAAAA	Chief, new years could press all confident designs. Ethical, possible notions can close still. Events improve in par	Sports	fishing	1.04	4605.32	1.57
-AAAAAAAAKAEDAAAA	Meetings sleep wise needs. Black, other deaths provide on	Sports	fishing	5.31	8161.68	2.78
-AAAAAAAAKDNCAAAA	So international campaig	Sports	fishing	6.61	15546.18	5.30
-AAAAAAAAKFODAAAA	Pretty biological patients catch relatively just american circumstances. Others could extend loudly offi	Sports	fishing	5.19	7487.61	2.55
-AAAAAAAAKGKCAAAA	Ei	Sports	fishing	4.30	11452.66	3.90
-AAAAAAAAKGNCAAAA	Nice, strange journals shall take from a costs. Special readers date ahead more high units. Very evident ideas shall not request st	Sports	fishing	4.78	1799.09	0.61
-AAAAAAAAKHBCAAAA	Cases will not explain al	Sports	fishing	3.37	1950.00	0.66
-AAAAAAAAKHPDAAAA	Then serious police affect necessarily only schools; dangerous, d	Sports	fishing	2.52	12714.39	4.33
-AAAAAAAAKIKAAAAA	Plain old foods cross to a factors. Global, attractive emotions would cause away however new crops. Small appeals ensure members. Times explain so so only reports. 	Sports	fishing	4.01	657.56	0.22
-AAAAAAAAKKLDAAAA	Levels may use essentially within the effects. Quickly local pictures should call enough officials. Here opening hours would pray ot	Sports	fishing	9.51	6974.25	2.37
-AAAAAAAALGOAAAAA	Obligations should provide more annual, sole stars. Obviously available unions receive there. Other wages must ruin much progressively new shares. Christian, c	Sports	fishing	3.76	3280.75	1.11
-AAAAAAAAMAFAAAAA	Still good processes might work instructions. Falls inspire long other, decent teachers. Hundreds cause also dear, local men. For example specialist programmes will 	Sports	fishing	5.13	1713.99	0.58
-AAAAAAAAMCFDAAAA	Poor risks can support as bright, determined tiles; plans comfort. Prin	Sports	fishing	4.20	6617.04	2.25
-AAAAAAAAMCNCAAAA	Old, local movements 	Sports	fishing	3.45	12444.47	4.24
-AAAAAAAAMJDEAAAA	Etc beaut	Sports	fishing	38.56	9906.09	3.37
-AAAAAAAAMKFCAAAA	Ex	Sports	fishing	6.75	1595.67	0.54
-AAAAAAAANNCAAAAA	Particular, previous machi	Sports	fishing	1.40	19250.34	6.56
-AAAAAAAAOBBAAAAA	Boundaries make however foreign days. Eventually new centres would not see well. Personally giant dreams represent services. Much perfect steps vis	Sports	fishing	1.21	9468.57	3.23
-AAAAAAAAOHEBAAAA	Badly assistant pictures order best blue jobs. Budgets allow moreover gold, other purposes; workers undermine. Fe	Sports	fishing	0.80	7868.56	2.68
-AAAAAAAAOMACAAAA	So large borders must determine detailed missiles. Naval days should not allow components. Financial laws cost home the	Sports	fishing	9.79	4000.26	1.36
-AAAAAAAAPBAAAAAA	So new campaigns teach more straight early indians. International offices shake actual ministers. New, liable theories can see expenses. Nice, imperial teams wo	Sports	fishing	8.48	284.46	0.09
-AAAAAAAAPHPAAAAA	Variable, cruel countries must not find skills. Significantl	Sports	fishing	3.11	11934.93	4.07
-AAAAAAAAPKGDAAAA	In particular basic offices mean more economic miles. Early immense rules mean times. Unnecessarily desperate miles accept just to a sk	Sports	fishing	1.73	2846.24	0.97
-AAAAAAAAABJBAAAA	Privileges can suggest hard decisions. Critics bear badly muscles; new, funny floors shall not like as difficult techniques; areas go often men. Blocks make as	Sports	fitness	7.94	2229.36	0.73
-AAAAAAAAACGCAAAA	Cards might complete recently against a rules; easy shoulders p	Sports	fitness	4.61	821.96	0.26
-AAAAAAAAACLAAAAA	Large, unfair eyes try instead leaders; nev	Sports	fitness	7.85	7583.68	2.48
-AAAAAAAAADEBAAAA	Already vocational holders like always further official deputies. Ac	Sports	fitness	3.85	5276.69	1.73
-AAAAAAAAADKDAAAA	Currently major appointments could become in a occupations. Tests record today	Sports	fitness	1.67	1922.38	0.63
-AAAAAAAAAEGEAAAA	There deliberate christians may avoid ve	Sports	fitness	3.40	7040.03	2.30
-AAAAAAAAAFJDAAAA	Prob	Sports	fitness	3.33	3763.14	1.23
-AAAAAAAAAGPCAAAA	Cool stones shall not occur sometimes by a problems. Clearly opposite criteria could grow probably b	Sports	fitness	9.04	7655.71	2.51
-AAAAAAAAAJMCAAAA	African years may give nearly problems. New circumstances tell just among the shows. Repeatedly thick d	Sports	fitness	4.36	6273.62	2.05
-AAAAAAAAANEAAAAA	Temperatures reflect quite	Sports	fitness	0.90	1537.12	0.50
-AAAAAAAAAOIBAAAA	More national figures believe clearly dif	Sports	fitness	1.20	1139.40	0.37
-AAAAAAAABACEAAAA	Over small premises may bring also. Objectives used to ensure adequate others. Italian 	Sports	fitness	6.21	605.20	0.19
-AAAAAAAABMIBAAAA	Full, relevant manufacturers should open human, low charges. But far eyes take on a prisoners; politically normal doctors will join mostly incidents; national, pale 	Sports	fitness	7.21	9043.59	2.96
-AAAAAAAABPECAAAA	So great buildings may not tell dirty, pure keys; already bare days	Sports	fitness	6.00	1764.60	0.57
-AAAAAAAACEHBAAAA	International, other possibilities might remain reliably far british doors. Good plants will not encourage forwards sometimes great pieces. Wrong, c	Sports	fitness	0.85	7463.98	2.44
-AAAAAAAACIMDAAAA	Pink parts 	Sports	fitness	9.36	8257.54	2.70
-AAAAAAAACNEAAAAA	Horses last results. There thorough parents sail everywhere into a gua	Sports	fitness	3.45	2181.96	0.71
-AAAAAAAACNGCAAAA	Again avail	Sports	fitness	3.02	17536.86	5.75
-AAAAAAAADBMAAAAA	So right intentions work authorities. Certain others could lie then external goals. Characters should see; almost likely o	Sports	fitness	5.24	2973.49	0.97
-AAAAAAAAEAJAAAAA	Lights might influence at least various, current aspects. Only current years would see there. Probl	Sports	fitness	5.52	4719.00	1.54
-AAAAAAAAELJBAAAA	Columns might lead only for a problems. Financial shoulders belong; industrial, new miners must carry very dangerous activities; sometimes national fathers could change	Sports	fitness	6.11	4565.51	1.49
-AAAAAAAAENBBAAAA	Quick, regular results would keep tomorrow; prisons lie. White, financial numbers would build now to a relationships. Japanese, hot limits set front components. Legs influence limi	Sports	fitness	5.25	8272.98	2.71
-AAAAAAAAEOOAAAAA	Weeks follow also following ministers; fat procedures used to encourage then clothes. Different paintings can cover talks. Still new minutes ensure again effects. Too extra waves move	Sports	fitness	4.95	1726.92	0.56
-AAAAAAAAFAKBAAAA	Democratic hours initiate often; meanwhile prime years might move also dreadful, other cl	Sports	fitness	1.13	10.08	0.00
-AAAAAAAAFEHDAAAA	Clinical limitations keep rather apparent, chinese problems. Real schools exhibit n	Sports	fitness	4.30	1564.08	0.51
-AAAAAAAAFJJCAAAA	Key industries print closely elegant households. Accounts clear only to a prisoners. Certain incentives reach. Keen animals deny directly telecommunications; internationa	Sports	fitness	2.80	11965.01	3.92
-AAAAAAAAFPFAAAAA	Questions used to look social technologies. As high women get indoors spec	Sports	fitness	4.01	2355.50	0.77
-AAAAAAAAGCMDAAAA	Legal agencies oppose overwhelmingly full targets. Unlikely, open levels might expect young, responsible charges. Substantial, successful circumstances drown somewhat. Local m	Sports	fitness	3.69	11687.14	3.83
-AAAAAAAAGDDCAAAA	Here poor tasks learn short curtains. Single children discuss finally during a persons. Top, young years raise occasionally faintly necessary vehicles. Good feet used to e	Sports	fitness	1.01	8254.05	2.70
-AAAAAAAAGHPBAAAA	Rights shall let late as a proposals. Large, indirect police can join in an expectations. Real, attractive courts sound as both early candidates. Considerably following men approve so-called, contempo	Sports	fitness	1.85	9638.05	3.16
-AAAAAAAAGJJBAAAA	I	Sports	fitness	73.49	11260.99	3.69
-AAAAAAAAGKPBAAAA	Effectively tough papers seek reasons. That rich friends shall not save at a	Sports	fitness	24.87	5013.26	1.64
-AAAAAAAAGNNAAAAA	Unlikely, possible grounds cannot get totally gracefully light companies; parliamentary, romantic levels aim often never so-called priorities. Hot, possible items share operations. A	Sports	fitness	7.77	3144.36	1.03
-AAAAAAAAGPHBAAAA	Prime, secondary systems 	Sports	fitness	91.03	5724.46	1.87
-AAAAAAAAHJFEAAAA	Months boost more. Standards enter certainly full, soft words. Catholic grounds might not reveal. Alike limited years mus	Sports	fitness	3.06	10905.26	3.57
-AAAAAAAAHMPAAAAA	Ready, technical activities attempt all. However certain artists admit. Mere, local teachers will return and so on beside a exhibitions. Fr	Sports	fitness	1.05	7078.86	2.32
-AAAAAAAAIAPAAAAA	Large, daily results qualify women. Pp. support also. Growing, perm	Sports	fitness	0.29	96.12	0.03
-AAAAAAAAICDAAAAA	Other votes should hear rather	Sports	fitness	7.42	6162.55	2.02
-AAAAAAAAIIIBAAAA	Supplies give much common males; methods turn ways; common, useful users may operate financially by the teachers; weeks complete in general. National, good neighbours should not pursue 	Sports	fitness	0.67	3447.45	1.13
-AAAAAAAAKCDEAAAA	Light practices shall not get really as the services. So significant plans know so for a programs. Long 	Sports	fitness	7.50	2944.46	0.96
-AAAAAAAAKGPAAAAA	There chief conditions get therefore eyes. Significant, small ideas use at a deposits. New, minor minerals shall not drive 	Sports	fitness	49.69	5299.48	1.73
-AAAAAAAAKJPBAAAA	Yellow representations arise even. Great levels shall arise. Simply italian thanks feel often by a brothers. Bodies cannot organize also abroad other things. Supreme plans announce more econom	Sports	fitness	1.23	5329.34	1.74
-AAAAAAAAKNMCAAAA	Royal blues sort more systems; much public rules must not build over	Sports	fitness	5.34	3937.01	1.29
-AAAAAAAAKPGDAAAA	Smooth, specified times must believe men. Dead, bad companies shall not like simply used, overall meetings. Extraordinary, she	Sports	fitness	2.26	2744.38	0.90
-AAAAAAAALKPBAAAA	Foreign, certain decisions rule please out of the groups. Fundamental, unlike factors should consider right across 	Sports	fitness	6.83	1670.08	0.54
-AAAAAAAALLMAAAAA	Nights go most mere, foreign colleagu	Sports	fitness	2.96	596.75	0.19
-AAAAAAAAMBGEAAAA	Now fixed arms could avert ago minutes. Lads rely also enthusiastic expenses. At least obvious birds go once again. Times produ	Sports	fitness	54.79	3442.65	1.12
-AAAAAAAAMBKCAAAA	Clear, long cats should not accept more beds. Inadequate, imperial attitudes use electrical states. Wines	Sports	fitness	4.97	5921.68	1.94
-AAAAAAAAMDNAAAAA	Angles pro	Sports	fitness	9.09	6893.72	2.26
-AAAAAAAAMFACAAAA	Clear subjects kiss always silver proje	Sports	fitness	9.97	225.40	0.07
-AAAAAAAAMJAEAAAA	Busy, fun dogs cannot suffer. Valid, dry centres would recover military, partic	Sports	fitness	3.74	2180.17	0.71
-AAAAAAAAMJCCAAAA	Future teams appreciate really modern, fine libraries; free adults will keep as only important executives. Deaf 	Sports	fitness	0.98	7276.75	2.38
-AAAAAAAAMKDEAAAA	Old, available pp. wind actu	Sports	fitness	9.69	4396.76	1.44
-AAAAAAAAMNIBAAAA	There general companies work even. Channels may not say easier things. Thereafter hot agents increase only years; reservations 	Sports	fitness	7.80	13679.18	4.48
-AAAAAAAAMPHDAAAA	Directly retail terms ought to afford sooner at a thanks. Islamic, usual examples re-open. Methods would continue; difficult, curious arts claim proposals. Thousands used to bother to the powers; deaf	Sports	fitness	6.95	920.10	0.30
-AAAAAAAAOEDCAAAA	Successes might correspond just certain reactions. Figures may offer unexpected subjects. Scientists construct entire rules	Sports	fitness	3.14	1641.74	0.53
-AAAAAAAAOIFBAAAA	Members shall not help increa	Sports	fitness	3.55	23.71	0.00
-AAAAAAAAOOFEAAAA	Things question genuine, responsible talks. Strong days retire later busy, famous rights; then easy ties must pour again still curious women. Final others secure a	Sports	fitness	1.18	4020.77	1.31
-AAAAAAAAPAFCAAAA	Rational, grateful laws may allow in a mountains; usually increased requirements might not follow even usual particular years. As yet sweet trends meet v	Sports	fitness	0.10	6426.34	2.10
-AAAAAAAAPCODAAAA	Superior, real applications bring tonight; computers shall supply variations. Scottish, tall fingers construct also executive hundreds. Annual, pract	Sports	fitness	0.46	2850.40	0.93
-AAAAAAAAPEFEAAAA	Sure, important children see almost net, silve	Sports	fitness	4.08	5909.24	1.93
-AAAAAAAAPNKCAAAA	Regardless unable services go vehicles; in order western standards may curtail hardly scientists; cou	Sports	fitness	2.33	3881.52	1.27
-AAAAAAAAAIIDAAAA	Again heavy organisms may resu	Sports	football	43.19	10006.10	4.33
-AAAAAAAAAJBEAAAA	Relevant, distinctive years speak. Fac	Sports	football	0.42	2341.90	1.01
-AAAAAAAAALMDAAAA	Possible households cannot 	Sports	football	2.45	4673.10	2.02
-AAAAAAAABIOCAAAA	Overall companies will not say senses. So inappropriate circumstances leave yesterday only other mountains. Persons fight else bitter metres. Correctly linguistic patients handle others. Curr	Sports	football	4.63	268.40	0.11
-AAAAAAAACBIAAAAA	Simple friends take then available, modern countries. Operational bands find at all early governors. Big patients u	Sports	football	1.00	11897.11	5.15
-AAAAAAAACBOAAAAA	Hands used to trust democratic, green attitudes. Negotiations will take products;	Sports	football	0.25	5639.80	2.44
-AAAAAAAACKPBAAAA	Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair	Sports	football	2.92	3631.05	1.57
-AAAAAAAAECDEAAAA	Bones join over groups; only military boards see much; better special others will accept. Kilometres check in addition unions. Serious, previous days find once. Delightf	Sports	football	1.08	431.34	0.18
-AAAAAAAAEKIDAAAA	Simple, other concentrations must believe indian, common years. Only statistical standards must sort thus lists. Liberal sign	Sports	football	84.88	11883.97	5.15
-AAAAAAAAELHDAAAA	Much leading demonstrations might end once more institutional doubts. Accused authorities should make. Administrative women maintai	Sports	football	3.79	155.70	0.06
-AAAAAAAAEMGBAAAA	Local agencies wish members. New year	Sports	football	2.85	4306.88	1.86
-AAAAAAAAGBFCAAAA	Democratic members die now together only requirements. Still possible studies used to get however shares. Formidable, conventional years could represent capable workshops. Wonde	Sports	football	4.15	152.66	0.06
-AAAAAAAAGCDDAAAA	Quiet requests lose correct, friendly men; perhaps subsequent powers would not trap. Major, volunt	Sports	football	3.59	87.36	0.03
-AAAAAAAAGGDCAAAA	Long, fat problems think with the boys. Readers may take elections. Different brothers know especially due, upper players. Early, australian angles used to set then detail	Sports	football	3.93	14434.53	6.25
-AAAAAAAAGICEAAAA	Police may effect short, foreign pubs. Jobs must not show often foreign, constitutional times. Just new studies appeal great, big days; determined, certain pp. may suit ahead claims	Sports	football	7.52	7251.34	3.14
-AAAAAAAAHIJBAAAA	Features can get; fiscal, important considerations must claim then wrong bodies; various houses postpone yet spirits. Provincial, complete managers a	Sports	football	0.55	1146.29	0.49
-AAAAAAAAHNJCAAAA	M	Sports	football	2.64	80.16	0.03
-AAAAAAAAIHNAAAAA	Losses must spawn foreign players. Passengers can clear here low residents. Ready, bottom women ought to manage r	Sports	football	2.04	1054.94	0.45
-AAAAAAAAIIDAAAAA	Too nervous orders prevent further at a rocks. Good, right roads feel versus a questions. Furthermore dear visitors can raise no longer british national plants; duties ought to serve. Offic	Sports	football	3.30	1060.02	0.45
-AAAAAAAAIJNCAAAA	Here forthcoming movies control too huge ships. A little eastern documents include just. Unique, regular problems 	Sports	football	64.24	16402.40	7.11
-AAAAAAAAIMECAAAA	Social eyes hear. Important, other fields say ago small, desirable inco	Sports	football	0.70	1612.53	0.69
-AAAAAAAAIODDAAAA	Different days read impossible, old farms. Certain proposals cannot protect long from a pr	Sports	football	5.23	1774.48	0.76
-AAAAAAAAJPCCAAAA	Sources cannot fight as on a names. Years ought to contact well in front of a arms. Prisoners try upwards. Nice, nice drivers vary up to as enormo	Sports	football	1.28	6410.76	2.77
-AAAAAAAALECCAAAA	So overall	Sports	football	4.39	5216.24	2.26
-AAAAAAAALGIDAAAA	Sc	Sports	football	1.08	54.79	0.02
-AAAAAAAALIFBAAAA	Still tough unions must refuse especially services. Authorities play only. Main, nati	Sports	football	6.81	6968.31	3.02
-AAAAAAAAMANAAAAA	Heads fail only serious li	Sports	football	2.40	9890.97	4.28
-AAAAAAAAMDEAAAAA	Today british hills include p	Sports	football	0.52	9494.03	4.11
-AAAAAAAAMEGBAAAA	Annual democrats create only emissions. Huge teachers could tour there ways. There british plans make. New, inadequate authorities may not handle like a records.	Sports	football	6.49	26450.44	11.46
-AAAAAAAAMFODAAAA	Enough possible policemen call as racial stairs. Leve	Sports	football	7.89	6699.84	2.90
-AAAAAAAAMIACAAAA	Simple, powerful efforts may like 	Sports	football	4.81	2960.52	1.28
-AAAAAAAAMLMAAAAA	Various, key mines get institutions. 	Sports	football	4.19	4485.29	1.94
-AAAAAAAANLFCAAAA	Suitable fingers would go then new men. Efficient, noble drawings think probably 	Sports	football	4.22	2023.04	0.87
-AAAAAAAANLHDAAAA	Recent communities should not resist political, late relatives. Below essential plans should 	Sports	football	0.76	1495.38	0.64
-AAAAAAAANNKBAAAA	Empty, remarka	Sports	football	9.76	11645.83	5.04
-AAAAAAAANOEAAAAA	Mean, recent sequences throw separate, other eyes. Sudden, cold roots take just general relations. Advantages could meet. Then annual page	Sports	football	4.83	623.00	0.27
-AAAAAAAAOHEAAAAA	Absolutely front men turn spatial hours. Good, free sales used to marry outside appropriate ships. Noble men sa	Sports	football	1.83	1.86	0.00
-AAAAAAAAOKEBAAAA	Other organisations imagine often therefore stable blues; horses might grasp things. Talks should not let apparently growing authorities. Factors rescue local objections. Probably wild trustees woul	Sports	football	8.38	3880.28	1.68
-AAAAAAAAOMCBAAAA	Similar men should hope things. Numbers might not opt now organisers. Just false offers determine judges.	Sports	football	2.00	6738.18	2.92
-AAAAAAAAPBDDAAAA	Peaceful adults could attract also	Sports	football	4.69	142.34	0.06
-AAAAAAAAPIKBAAAA	Horses hide less total, musical islands; here entire directors must know more than by a lives. Tables can present in a hills. Gently other securities will not	Sports	football	2.66	14660.41	6.35
-AAAAAAAAPKFBAAAA	Able calls will see far stores; national eyes shall stand among a owners. Long, heavy patients prevent occasionally practical, level sections. Certainly specified regulations could 	Sports	football	2.08	10550.88	4.57
-AAAAAAAAACCDAAAA	Figures will not wish late primary, sure members. Recently true techniques could bring a little radically economic processes. Distant lips ought to go only civil words. Days claim aback in the kids; 	Sports	golf	4.14	22357.31	5.28
-AAAAAAAAADCDAAAA	Bloody directors reach highly only heavy women. Ministers shall not avoid afte	Sports	golf	4.26	7464.82	1.76
-AAAAAAAAALECAAAA	Revolutionary investors will not consider often black questions; lines want probably contemp	Sports	golf	1.19	3204.36	0.75
-AAAAAAAABAGDAAAA	Here possible nations could think with the ages. Weeks discuss of 	Sports	golf	2.48	7304.22	1.72
-AAAAAAAABJPDAAAA	Right competitive tables look devices. Conservative, new cases require low dangers. Quite educational principles assess	Sports	golf	5.22	1569.65	0.37
-AAAAAAAABLNAAAAA	Assets would take. Then great fingers develop en	Sports	golf	7.78	6214.14	1.46
-AAAAAAAABMECAAAA	Over sexual activities should not distinguish so. Really large goals provide to a attitudes; already free arms used to accept even for a days. Black, video-taped names may present both to the	Sports	golf	9.14	6246.87	1.47
-AAAAAAAACAGDAAAA	Friendly, efficient stands forget separately. Lega	Sports	golf	7.38	20385.52	4.81
-AAAAAAAACDIDAAAA	Women could tell still ever mathematical standards	Sports	golf	1.26	7017.24	1.65
-AAAAAAAACFHDAAAA	Crucial, willing styles used to derive in a women. Catholic, other controls sho	Sports	golf	1.49	8639.12	2.04
-AAAAAAAACGCBAAAA	Wonderful, int	Sports	golf	5.94	7497.45	1.77
-AAAAAAAACHAEAAAA	Especially alone payments would mention free, equal eyes. Facilities ought to benefit there occasions. Big meals might prove skills. Chan	Sports	golf	60.91	10605.00	2.50
-AAAAAAAACJIBAAAA	Independent, constant prices smoke; homes might form now accounts. Other ranks could matter again outside the honours. Close, religious methods apply 	Sports	golf	4.55	11903.61	2.81
-AAAAAAAACNPCAAAA	Poor, eventual homes would go all foreign powers. Pupils would find most great laws. Twi	Sports	golf	1.07	2867.53	0.67
-AAAAAAAADICAAAAA	Members become so poor peri	Sports	golf	32.36	4124.04	0.97
-AAAAAAAADLFAAAAA	Also silent nurses find also fully mental priorities. Savings shall bring naturally silent e	Sports	golf	3.04	16051.84	3.79
-AAAAAAAAECFDAAAA	Old others tell; immediate eggs leave terms. Seats involve sensibly anyway royal individuals. Interesting, american year	Sports	golf	3.73	4534.82	1.07
-AAAAAAAAECOAAAAA	Regulations would live parents. Departments shall not want. Standards must not cost difficult authorities. Young, international levels achieve nicely for a participants. Probably busy	Sports	golf	43.29	1105.40	0.26
-AAAAAAAAEDADAAAA	Global actions slip etc windows. Probably true papers know both with a months. Other states let industrial, open lectures. Expressions climb within a doubts. So western details	Sports	golf	3.75	7735.51	1.82
-AAAAAAAAENCEAAAA	Services go certain beans. Away american words lose quickly powerful skills. Certainly physical films would turn rather later central miles; great governments re	Sports	golf	0.71	20947.28	4.94
-AAAAAAAAEPCEAAAA	Results decide hence eventually economic races. American, underlying tourists shall secure too adult sig	Sports	golf	64.31	1080.57	0.25
-AAAAAAAAFANBAAAA	There only decisions take really royal, joint words. Too public copies must not invent so-called, important aspects. Human, positive organisations would view more male phrases. Relations must n	Sports	golf	4.20	3922.85	0.92
-AAAAAAAAFBABAAAA	Experimental users know even extremely small aspects. Regular 	Sports	golf	2.85	14440.52	3.41
-AAAAAAAAFIIBAAAA	Facts finish other passengers. Similar societies live personally. Visitors would manage light, new rocks; parts can brin	Sports	golf	8.20	3304.37	0.78
-AAAAAAAAGAAEAAAA	New, confidential neighbours capture	Sports	golf	3.48	8839.02	2.08
-AAAAAAAAGCCEAAAA	Then narrow problems show now just social competitors. Lives may not become individual, bloody resources; roots 	Sports	golf	1.10	6965.97	1.64
-AAAAAAAAGDEEAAAA	Carefully european characters drop foreigners. Foreign funds wear; silver, empty councils use personally positive, english matters. Servic	Sports	golf	6.37	4816.06	1.13
-AAAAAAAAGEDBAAAA	Systems submit often priests. Publications shall close high friendly instruments. Levels look white countries. Human, close weeks say never civil, small collections. Tory, tr	Sports	golf	8.58	1498.11	0.35
-AAAAAAAAGHAEAAAA	Paintings may market mistakenly dependent occasions; nearly good children might not put now rights. Current services see for a relationships; faces could keep too nearby, diverse p	Sports	golf	7.67	4495.20	1.06
-AAAAAAAAGJMCAAAA	Long-term game	Sports	golf	4.19	20224.07	4.77
-AAAAAAAAGMKDAAAA	Best odd changes used to pass underlying minutes; good others could 	Sports	golf	4.29	16608.35	3.92
-AAAAAAAAHDPAAAAA	Early, possible forces release long dirty 	Sports	golf	6.26	13323.43	3.14
-AAAAAAAAHNHBAAAA	Views should cultivate even ambitious, in	Sports	golf	1.58	2276.99	0.53
-AAAAAAAAIEDEAAAA	Different years complain merely comprehensive, effective weeks. Images will discuss honours; similar centres get now needs. Foreign errors last sepa	Sports	golf	0.85	885.40	0.20
-AAAAAAAAIEEBAAAA	New interests feel home for the experiences. Services call numerous actions; ch	Sports	golf	7.82	2194.72	0.51
-AAAAAAAAIHMCAAAA	Social, identical doubts might	Sports	golf	4.59	10647.05	2.51
-AAAAAAAAIMFDAAAA	Almost major songs afford big characters. International	Sports	golf	3.54	585.78	0.13
-AAAAAAAAIMHBAAAA	British, quick friends might make early good min	Sports	golf	2.17	11931.00	2.81
-AAAAAAAAIPJAAAAA	Countries put away indeed social services.	Sports	golf	9.43	9982.10	2.35
-AAAAAAAAJDEAAAAA	Economic, impressive thoughts will not neglect. Strong, serious records should capture o	Sports	golf	8.11	10722.62	2.53
-AAAAAAAAJIJCAAAA	Skills might swallow together. Also emotional styles should not address on	Sports	golf	8.91	7359.85	1.73
-AAAAAAAAKBJCAAAA	For example physical events shall find far fires; courts reveal poor experiences. Others control to the activities. Square features answ	Sports	golf	2.63	19026.67	4.49
-AAAAAAAAKEPCAAAA	Practical stations admit increasingly. Pr	Sports	golf	1.53	6248.86	1.47
-AAAAAAAAKJEAAAAA	Clearly conservative children could not moderate with a decisions. As good as important track	Sports	golf	7.66	2477.50	0.58
-AAAAAAAAKMMAAAAA	Specific walls go conversely russian women. Correctly fair priorities track to a lives. Complete memorie	Sports	golf	2.22	4258.62	1.00
-AAAAAAAAKPECAAAA	Full, rural artists must not notice deeper historical stages; other years may preserve apparently traditional solicitors. Central, old years will not manage best qu	Sports	golf	1.81	11366.84	2.68
-AAAAAAAAKPPAAAAA	Young hands report. Children would bre	Sports	golf	4.09	665.12	0.15
-AAAAAAAALCBCAAAA	Western elements shall not remember in the unions. Cruel assessments show again important teachers. Later real pp. engage boring hands. Earli	Sports	golf	6.67	397.44	0.09
-AAAAAAAALJOAAAAA	Buildings would not get with a tools. Current, united elections 	Sports	golf	0.82	271.20	0.06
-AAAAAAAALLHCAAAA	Secondary, british forces cou	Sports	golf	3.20	5029.51	1.18
-AAAAAAAAMDKDAAAA	Long only eyes used to accept light, american	Sports	golf	8.72	877.92	0.20
-AAAAAAAAMEECAAAA	Direct records would not marry in a suggestions. External standards avoid nice services. Large secrets	Sports	golf	0.42	4771.19	1.12
-AAAAAAAAMEFCAAAA	Objectives object so remaining, young thousands. Fires need years. Like years shall like either times. Hands demonstrate direct just happy bodies; though arab functions should n	Sports	golf	7.24	3317.80	0.78
-AAAAAAAAMLBCAAAA	Nervous, alt	Sports	golf	9.38	2595.87	0.61
-AAAAAAAANDDDAAAA	Private, extreme books will for	Sports	golf	0.74	4637.54	1.09
-AAAAAAAANEEEAAAA	Even s	Sports	golf	1.45	656.18	0.15
-AAAAAAAANKHBAAAA	Young figures should go onl	Sports	golf	9.27	\N	\N
-AAAAAAAANMJAAAAA	High members may not fulfil by a officials. Bishops may practise well to a bodies; both considerable problems would not make however organic important things. Particular, old companies must take 	Sports	golf	5.84	5794.81	1.36
-AAAAAAAAOGPAAAAA	Well planned problems use more in a origins; main, senior sons enter right, substantial faces. Typical, other measures must counteract so minutes; yet 	Sports	golf	1.28	9198.36	2.17
-AAAAAAAAOLNDAAAA	Senior judges save. Possib	Sports	golf	3.12	4798.50	1.13
-AAAAAAAAPABDAAAA	Hardly historical dollars combine quit	Sports	golf	3.32	263.51	0.06
-AAAAAAAAPJNDAAAA	Terms used to settle with the considerations; final contents would address more old agreements; areas would not get either hard, deaf heads. Successfully standard hours will reconstruct. Events	Sports	golf	1.27	2779.34	0.65
-AAAAAAAAAAEDAAAA	Concerned politicians cannot listen there. Sometimes other followers occur urban, physical years. Concerned words might not set. Workers can perform then in a individuals. So strong im	Sports	guns	3.30	429.26	0.11
-AAAAAAAAABDDAAAA	Rates ought to lead again present variables. Also strong students scream. Exact, dutch feet open; dail	Sports	guns	93.05	678.41	0.17
-AAAAAAAAABGEAAAA	Confident areas would happen without a arguments. Soft mountains allow moderately contempora	Sports	guns	3.23	2405.90	0.63
-AAAAAAAAABHAAAAA	Old sources pull later examples. Rich others ought to e	Sports	guns	6.47	14117.29	3.69
-AAAAAAAAAMDCAAAA	Things keep at a others. Full, central wage	Sports	guns	2.94	12137.48	3.18
-AAAAAAAABKDCAAAA	Wide, certain v	Sports	guns	5.44	505.47	0.13
-AAAAAAAACAKCAAAA	Always complex areas would convince less much local lawyers; modern others can sue home reasonable proposals.	Sports	guns	4.59	11371.34	2.97
-AAAAAAAACDNBAAAA	Rational, sof	Sports	guns	1.64	22707.64	5.95
-AAAAAAAACJGAAAAA	Clear types buy years. Companies used to go already. Stable, general arrangements will accept purely light	Sports	guns	7.02	9657.94	2.53
-AAAAAAAACKABAAAA	Determined roads might lea	Sports	guns	2.31	5344.12	1.40
-AAAAAAAACLDBAAAA	Little poor markets wriggle commonly roughly strategic times. Able securities can handle involuntarily thus other rates; then famous pri	Sports	guns	2.21	1187.63	0.31
-AAAAAAAACLHAAAAA	Huge, private situations ought to back by an marks. Girls can come also local,	Sports	guns	7.03	7246.86	1.89
-AAAAAAAADKLBAAAA	Public, legal languages might get easier easily regular towns. Very different children fulfil virtually tiles. Everyday, fresh numbers look only large, sole companies	Sports	guns	9.11	4695.99	1.23
-AAAAAAAAECICAAAA	Old, n	Sports	guns	1.37	6973.14	1.82
-AAAAAAAAEHCBAAAA	Devices know also so normal waters. Labour times say. Teachers tell 	Sports	guns	0.26	2073.30	0.54
-AAAAAAAAEHKBAAAA	Extensive circumstances consider already russian discussions. Both open problems try in an charts; wa	Sports	guns	6.89	15948.99	4.17
-AAAAAAAAEPFBAAAA	Seats ought to consult tools. Far strong hundreds include children. Concessions sho	Sports	guns	8.96	8159.48	2.13
-AAAAAAAAFLDDAAAA	Guilty, painful families shall separate inadequate, causal feet. Other, dangerous indians boost efficiently like a children. Aggressi	Sports	guns	14.96	14127.44	3.70
-AAAAAAAAGBFBAAAA	Free pp. think rather to the shoulders. Original rates wil	Sports	guns	3.71	535.60	0.14
-AAAAAAAAGFLDAAAA	Actually other thoughts hold to a places. So only services affect blind, content measures. Formal, other differences would complain open annual, rich methods. Risks acknowledge long; ways 	Sports	guns	4.62	1508.24	0.39
-AAAAAAAAGMEDAAAA	Blind, real systems may not intervene even later real standards. Unnecessarily other others might clarify in a doors. Here catholic manager	Sports	guns	3.81	11675.92	3.05
-AAAAAAAAGODDAAAA	Traditional, necessary activities would get thick safely aware demands. Annual, military arrangement	Sports	guns	4.44	6448.74	1.68
-AAAAAAAAHOGBAAAA	Standards may open both op	Sports	guns	2.90	24366.68	6.38
-AAAAAAAAIDDCAAAA	New, difficult writings should arrange too never social years. Fresh seasons can stand. Full accountants reserve as the words. Good, public facts see. Inadequate, marin	Sports	guns	4.77	5186.43	1.35
-AAAAAAAAILBDAAAA	Financial, italian wages kno	Sports	guns	5.30	7381.49	1.93
-AAAAAAAAIMMCAAAA	Rows cannot give then magnetic children. Children join again very labour neighbours. Ways shoot. Horses could prepare little to a heels. Residential, stable issues disappear automaticall	Sports	guns	31.00	8425.76	2.20
-AAAAAAAAINFDAAAA	New eyes change political, new activities.	Sports	guns	9.10	11138.94	2.91
-AAAAAAAAJOODAAAA	Likely personnel will not produce in an guidelines; freely tory sanctions give most pp.. Cases may let never players. Appropriate,	Sports	guns	3.77	173.24	0.04
-AAAAAAAAKBHCAAAA	New, british politicians fail particularly in a things. Personal books get; as political nig	Sports	guns	1.17	13290.11	3.48
-AAAAAAAAKFLDAAAA	Days must appear kindly familiar hands. Too negative systems cannot skip existi	Sports	guns	3.00	8788.60	2.30
-AAAAAAAALFOBAAAA	About british reasons will draw occasionally practitioners. New attempts shall display in private private, major magazines. Questions dare on a losses. As american children take upwards good symptom	Sports	guns	72.70	6798.49	1.78
-AAAAAAAALLNCAAAA	Again integrated circumstances used to remove especially about	Sports	guns	1.13	552.75	0.14
-AAAAAAAAMEHAAAAA	So married arts must not land somewhat. Specific, long cases cover today existing, southern reasons; well substantial features would not sell b	Sports	guns	0.86	2072.90	0.54
-AAAAAAAAMEJAAAAA	Sure persons say quicker public, late cells. New, central visitors should not destroy both skills. Circumstances s	Sports	guns	95.42	11171.94	2.92
-AAAAAAAAMFHCAAAA	Eventually effective leads see grey brothers. Others show both for no sorts. Authoriti	Sports	guns	8.46	14552.42	3.81
-AAAAAAAAMIEBAAAA	Shy, young areas would return indeed obvious entries. Following, major villages require for the circumstances. Accordingly safe minutes specify. Serious	Sports	guns	5.29	18218.86	4.77
-AAAAAAAAMJNAAAAA	Ways ought to use so armed, straight operators; inc, only techniques must distinguish never usual authorities. Moral projects show however. Goods will take new, physical cultures. Sufficient	Sports	guns	9.15	4790.32	1.25
-AAAAAAAAMKPDAAAA	High sons must sign home expensive games; boats hit hardly. Customers judge today recent, main gods. Then tory organisations describe also partners. Otherwise jo	Sports	guns	6.69	506.92	0.13
-AAAAAAAAMPNDAAAA	Over important allowances recommend present charges; at least philosophical equations cannot attract please steps. More early sides look permanent years. Low, civil events try also at a theori	Sports	guns	7.59	176.40	0.04
-AAAAAAAANHODAAAA	Suppliers produce to a hours. Special, main factors will come. Old, individual recommendations see 	Sports	guns	30.34	3863.70	1.01
-AAAAAAAANKGCAAAA	Detailed, cognitive friends go less so domestic terms. Again accurate children would break	Sports	guns	7.44	4868.20	1.27
-AAAAAAAANLHAAAAA	Heads might use deeper before a men. Liberal, major authorities must pay extremely broad owners. 	Sports	guns	0.12	4684.24	1.22
-AAAAAAAANODBAAAA	Furthermore low parents used to reach. Young years can rest completely busy woods. Formal, inadequ	Sports	guns	2.17	4753.98	1.24
-AAAAAAAANOHDAAAA	Al	Sports	guns	4.59	6630.42	1.73
-AAAAAAAAOBLDAAAA	Unable pairs must think more successfully nearby families. Fed	Sports	guns	9.08	5127.45	1.34
-AAAAAAAAOENDAAAA	Cle	Sports	guns	9.82	7032.34	1.84
-AAAAAAAAOMDCAAAA	New, low companies arrange times. Available, foreign troops can complain usuall	Sports	guns	80.57	92.26	0.02
-AAAAAAAAOODAAAAA	Above ships can upset before public children; however sharp consumers may not see great pounds. Environme	Sports	guns	6.00	87.32	0.02
-AAAAAAAAOOGBAAAA	Confident teeth give natural, dark directions. Complete, english members shall feel most. Then generous pp. 	Sports	guns	36.92	20209.36	5.29
-AAAAAAAAPANDAAAA	Efficiently political examples can abandon very severe facilities; extraordinary, international hours shall restore at all part-time, following goods. Sports 	Sports	guns	5.61	10197.52	2.67
-AAAAAAAAPCDCAAAA	Front words must not develop societies. Eventual, grey countries make strangely times; ever old indicators send often tomorrow prime computers. Full, high days will come unique companies. Of course s	Sports	guns	4.39	9467.29	2.48
-AAAAAAAAPCHBAAAA	Strong memb	Sports	guns	6.63	804.38	0.21
-AAAAAAAAPLOAAAAA	Regional sets may call then much social securities; gentlemen must launch so further national women.	Sports	guns	2.46	6287.03	1.64
-AAAAAAAAABCEAAAA	Other, recent representations resolve both normal talks. Old, unlikely specialists apply just complete cl	Sports	hockey	5.17	3748.04	1.87
-AAAAAAAAAEKCAAAA	Ordinary metals would transport with a policies; about arbitrary balls must go sites. Clear prices continue of course. I	Sports	hockey	54.72	397.06	0.19
-AAAAAAAAAENCAAAA	Glad heads answer more perhaps large risks. Imaginative guests a	Sports	hockey	1.55	887.66	0.44
-AAAAAAAAAKJDAAAA	Strong, mass owners would upset followers. All vital colleagues shall remember whole police. Alive, horrible explanations should not earn. Then social 	Sports	hockey	0.98	2912.58	1.45
-AAAAAAAABDPDAAAA	Services indicate feature	Sports	hockey	2.41	3535.46	1.77
-AAAAAAAABJPAAAAA	Soon intermediate needs should increase more feet. Useful participants enable; much 	Sports	hockey	77.28	9672.60	4.84
-AAAAAAAABMJAAAAA	Other, tight solicitors shall not win now clouds. There base drugs contain well by a workers; local churches expect usually applications; more open creditors should not improve even. The	Sports	hockey	2.66	1377.88	0.69
-AAAAAAAACANBAAAA	Months cannot lead never unlikely problems. Special characteristics ought to borrow over banks. Patients make only. Networks might not want things. At least bad qualities would not gi	Sports	hockey	4.71	3405.42	1.70
-AAAAAAAACHBAAAAA	Persons would not tell talks; no doubt internal criteria see totally t	Sports	hockey	2.13	1763.28	0.88
-AAAAAAAACLCCAAAA	Complex sports satisfy as. Backwards whole women could give suddenly at a bod	Sports	hockey	94.58	2132.81	1.06
-AAAAAAAACLJAAAAA	Institutions help shel	Sports	hockey	3.69	2344.11	1.17
-AAAAAAAACMKBAAAA	Previous, unusual pounds could concentrate short by the articles. For example possible	Sports	hockey	8.04	2849.49	1.42
-AAAAAAAADEDDAAAA	Original, everyday words may not wish even to a paintings. Domestic movements could explore on a improvements. For example specialist contracts use as more subtle weekends. Annual, good performanc	Sports	hockey	5.19	4481.04	2.24
-AAAAAAAADLCAAAAA	Recent, french conservatives cannot get somehow; decisions save accordingly happy thousands. Seriously good years argue then golden attacks. Just wide eyes drink underground likely, fin	Sports	hockey	0.09	1868.24	0.93
-AAAAAAAADLODAAAA	Words would hear successfully unhappily external restaurants. Things must get also ready instruments. Heavy, liberal women learn just general matches. Loudly subjective schools will disturb as	Sports	hockey	7.94	4216.76	2.11
-AAAAAAAAEEADAAAA	Long-term cigarettes ensure because of a commentators; days run per a reports; bodies include there in a rocks. Necessary privileges should resist alre	Sports	hockey	13.77	2994.70	1.50
-AAAAAAAAEMFEAAAA	Classes clean best public, fresh subjects. Eyes define both in the moves. Twice physical substances lunch earlier; advanced, simple cases depend else individual, single e	Sports	hockey	4.56	10788.94	5.40
-AAAAAAAAFICBAAAA	Inevitable, local risks emphasize c	Sports	hockey	3.52	7596.53	3.80
-AAAAAAAAFMBEAAAA	Local, final users must not make below; thus significant deputies find widely by the affairs. Anonymous, british instruments enter almost written, expensive shareholders.	Sports	hockey	7.88	1140.10	0.57
-AAAAAAAAGGEDAAAA	Fairly national methods could lead only yards. Crucial, personal sto	Sports	hockey	0.32	9994.86	5.00
-AAAAAAAAGIFEAAAA	Northern, sure arts 	Sports	hockey	5.33	3176.79	1.59
-AAAAAAAAGIMDAAAA	Never precise needs meet never mothers. Po	Sports	hockey	1.34	4503.87	2.25
-AAAAAAAAGOIAAAAA	Human, cons	Sports	hockey	0.45	6322.86	3.16
-AAAAAAAAHADDAAAA	Things wo	Sports	hockey	5.04	1494.08	0.74
-AAAAAAAAHDJAAAAA	Deeply human resources ought to tackle fam	Sports	hockey	3.78	7620.13	3.81
-AAAAAAAAHDOBAAAA	Rights will try useful, intermediate thousands. Main aspirations keep there bright, possible lives. Problems render however significant, strange func	Sports	hockey	5.08	1207.08	0.60
-AAAAAAAAHLEAAAAA	Serious, social teams could not take also other, blind designers. Clear groups would find ot	Sports	hockey	7.00	19425.53	9.73
-AAAAAAAAIHHBAAAA	Just agricultural years may not talk. Superior, national units will not understand now looks; fresh, soft values trust. Partners ought to discredit methods. Gothic, 	Sports	hockey	8.39	1168.00	0.58
-AAAAAAAAIIADAAAA	Elements mention faintly free railways. Pe	Sports	hockey	3.00	3492.34	1.75
-AAAAAAAAIPNBAAAA	Different shares shall last even words. Contracts make on a others. Far from awful colleagues know right years. Names know in a letters. High varieties ought to undergo successful, immed	Sports	hockey	8.97	11904.54	5.96
-AAAAAAAAKNBBAAAA	Friends send central, canadian beds. Wholly new organisations save thus heads. Complete students will com	Sports	hockey	4.68	3706.65	1.85
-AAAAAAAALEEAAAAA	Terms cannot enc	Sports	hockey	5.90	182.31	0.09
-AAAAAAAAMHDBAAAA	Colleges may know closer in a seeds. Conditions fail higher dangerous fears. Changes answer. Selective, sad weeks can register just circumstances. Today gastric publishers can get by a procedures. 	Sports	hockey	9.05	8338.04	4.17
-AAAAAAAAMKAAAAAA	Unacceptable, widespread towns may not block there about a records. Then 	Sports	hockey	0.83	4173.83	2.09
-AAAAAAAAMKHDAAAA	As well lexical teams identify to a points; large times star	Sports	hockey	4.08	12700.97	6.36
-AAAAAAAANFICAAAA	Yet only months can repeat reader	Sports	hockey	1.82	3106.80	1.55
-AAAAAAAANMIBAAAA	Exotic rights could not commit here persistent 	Sports	hockey	3.07	1880.28	0.94
-AAAAAAAAOAAAAAAA	Teachers carry by the children; old democrats enco	Sports	hockey	1.85	1481.72	0.74
-AAAAAAAAOCICAAAA	Otherwise political systems know surely unable	Sports	hockey	4.94	4411.00	2.21
-AAAAAAAAOFIBAAAA	Shallow, vocational efforts used to give very part-time programmes. Only months ought to know; participants will not take then even natural events. Influences take al	Sports	hockey	7.44	2694.77	1.35
-AAAAAAAAOJCBAAAA	Traditional, small 	Sports	hockey	2.31	4850.82	2.43
-AAAAAAAAPMPBAAAA	Good patients used to work then valuable, public rights; current schools shall not complain. Pounds go probably losses; exercises should pray markedly in the materials. New, good players reac	Sports	hockey	3.41	13606.55	6.81
-AAAAAAAAAADCAAAA	Whole reports will not acquire; looks get then japanese, basic creditors. New, fortunate professionals encourage firmly rich roles; however secondary projects might 	Sports	optics	2.72	6010.93	1.74
-AAAAAAAAAEAAAAAA	Both new conditions ask acute, ashamed pupils. Short, poor fami	Sports	optics	2.02	9291.26	2.69
-AAAAAAAAAEMAAAAA	Results should search so middle, jewish services. Ago long points shall use usually various stores. Possible, old polls recover initially contracts; all medical parents join then negative pages	Sports	optics	1.16	5866.20	1.70
-AAAAAAAAAFPAAAAA	Miles could produce probably seconds; small officials will build islands. Natural specialists s	Sports	optics	8.45	3472.88	1.00
-AAAAAAAAAGFDAAAA	Warm, welsh attitudes start over agricultural, eng	Sports	optics	4.07	8830.74	2.55
-AAAAAAAAAKGAAAAA	Entries close only busy objects; involved, grateful refugees stand sui	Sports	optics	1.73	9583.66	2.77
-AAAAAAAAAMHAAAAA	Social, reduced rebels would not achieve very free ships. Selective	Sports	optics	3.41	6250.02	1.81
-AAAAAAAAAMOAAAAA	Follow	Sports	optics	9.98	5054.82	1.46
-AAAAAAAABFCCAAAA	Endless, professional others create by a years; large vis	Sports	optics	1.24	8439.95	2.44
-AAAAAAAABIABAAAA	Children ma	Sports	optics	6.80	4282.62	1.24
-AAAAAAAABKCAAAAA	Of course heavy persons get now implications. Phases show even. So old women develop; big, other jeans drive frantically official shots. Facts might disturb too new, gentle children. G	Sports	optics	0.79	959.95	0.27
-AAAAAAAABKIDAAAA	Leaves go most parties. Available, rich masses appear as administrative feet. Times could not explore at a chairs. Assistant, clear prices emerge neve	Sports	optics	4.92	84.96	0.02
-AAAAAAAACBHAAAAA	Extra, lesser arms formulate as deaths. Important, 	Sports	optics	2.15	1274.88	0.36
-AAAAAAAACCGAAAAA	Large assets trust even; individuals record formal, short t	Sports	optics	7.78	2743.29	0.79
-AAAAAAAACDBBAAAA	Commercial, radical tenants ought to go once on a methods. Upper	Sports	optics	0.51	8812.06	2.55
-AAAAAAAACFABAAAA	Fine, living women wait aside with the patients. Rarely arbitrary books should know already. Expenses will consider vigorously reports. Houses get there particular, local institutions. Really certain	Sports	optics	7.88	5693.93	1.65
-AAAAAAAACHNDAAAA	Western activiti	Sports	optics	6.61	4812.45	1.39
-AAAAAAAACIFBAAAA	Free proced	Sports	optics	5.97	8583.18	2.48
-AAAAAAAACJGDAAAA	Eyes must like over. Shows will not preserve never active eyes; toxic, complete injuries win howe	Sports	optics	0.80	7906.00	2.29
-AAAAAAAADFFAAAAA	Necessary, social bedrooms think so full poles; babies prove now. Profitable payments used to break there. Major, radical households 	Sports	optics	1.51	12616.99	3.65
-AAAAAAAADMBDAAAA	Social, other resources may know reasonable, distant weeks. New, unexpected rates mean. White, electric generations carry together other t	Sports	optics	3.91	4411.67	1.27
-AAAAAAAADOMCAAAA	Main pupils could expel followers. Sometimes severe horses should keep largely earnings. Years put recently permanent inst	Sports	optics	9.17	1401.30	0.40
-AAAAAAAAEABDAAAA	Clearly short talks disentangle especially with a systems. Frequently new sides could honour actually wrong personal attempts. Estimated needs ought to think highly	Sports	optics	3.04	4.07	0.00
-AAAAAAAAEKBBAAAA	Funds wander months. Advisory forms meet finally; complaints shall please to a roads. Often presen	Sports	optics	3.58	3947.19	1.14
-AAAAAAAAEPEDAAAA	Below new weapons note small, good sections. Later new forms may strike years. Isolated, able critics use all but. Forces will not take then little records; windo	Sports	optics	2.75	1374.45	0.39
-AAAAAAAAFNNAAAAA	Inland branches shall provide only available plants. Now available faces answer. Minutes could offer with a others. Forth bizarre dangers search welcome, b	Sports	optics	1.86	2828.94	0.81
-AAAAAAAAGBOCAAAA	Likely, elected reasons keep. Parents step mainl	Sports	optics	4.40	3922.89	1.13
-AAAAAAAAGGPCAAAA	Capital agencies effect significant parents. Types ask illegal, small events. Deep, great reactions give arrangem	Sports	optics	2.99	9863.24	2.85
-AAAAAAAAGJDEAAAA	Heavily positive heroes seem far exciting values; letters might ask still about a r	Sports	optics	1.66	12566.33	3.64
-AAAAAAAAGKICAAAA	Extraordinary	Sports	optics	1.74	2184.37	0.63
-AAAAAAAAHAFEAAAA	Strong programmes must appear then central patients. Both large men will hang really. Effective na	Sports	optics	3.31	12653.59	3.66
-AAAAAAAAHFDBAAAA	Losses hide 	Sports	optics	1.65	4243.32	1.22
-AAAAAAAAHHCDAAAA	Mild, 	Sports	optics	47.98	14278.69	4.13
-AAAAAAAAHODBAAAA	Square, black institutions could change for example eventually other customers. Leaders must not fire toge	Sports	optics	1.87	3647.74	1.05
-AAAAAAAAIFNDAAAA	Individual clothes shall lead virtually truly unusual principles. Still vocational messages must meet still thus big students. Simple, importa	Sports	optics	5.34	1933.44	0.56
-AAAAAAAAILDDAAAA	Still big costs might not capture superb, large solic	Sports	optics	4.24	164.01	0.04
-AAAAAAAAINEAAAAA	Perhaps busy institutions can appear now future, tall times. Secondary, warm problems would stimulate more 	Sports	optics	3.09	607.62	0.17
-AAAAAAAAJHGDAAAA	Dependent, interested men make only, wrong patients; open days arrive now essential, raw communications. Men shall not help successful dif	Sports	optics	1.43	1521.95	0.44
-AAAAAAAAJKMAAAAA	English, overseas lives used to move again similar sentences. Sites can view always. Able, essential incom	Sports	optics	4.37	21094.95	6.11
-AAAAAAAAKKFEAAAA	Reforms may not reduce slowly on a meetings. Opposite, italian boys publish much high traditions. Occasionally traditional ministers	Sports	optics	3.13	2815.53	0.81
-AAAAAAAALEICAAAA	Internal services used to oppose consistently talks. Green documents would feed as the wives. Administrative songs help still main tiles. Wives warm quite safe 	Sports	optics	7.14	415.36	0.12
-AAAAAAAAMCHBAAAA	Ago low signs cannot account only successfully available solutions. Medical, overseas terms s	Sports	optics	1.95	2226.55	0.64
-AAAAAAAAMDBBAAAA	Completely upper clients achieve western fees. Small areas must get traditions. Folk can deal however	Sports	optics	1.28	924.71	0.26
-AAAAAAAAMFAAAAAA	Employers w	Sports	optics	4.48	4800.78	1.39
-AAAAAAAAMGNBAAAA	Agencies affect in common mountains. Clear eyes could work today models; cars get i	Sports	optics	8.68	9187.94	2.66
-AAAAAAAAMJJBAAAA	Just little machines used to maintain else. Improvements call right daily children. Human, i	Sports	optics	1.17	18749.25	5.43
-AAAAAAAANEJCAAAA	At most new pictures keep. American, different clients assume always problems; forward just years used to formulate just actually full indivi	Sports	optics	0.72	664.24	0.19
-AAAAAAAANINDAAAA	Matters join. Securities make perfectly as a products; above important children ask as in a classes. Limitations cannot indicate already t	Sports	optics	1.50	1593.15	0.46
-AAAAAAAAOALAAAAA	Growing, civil practices may commit wrongly. Different, marine visitors would let.	Sports	optics	2.52	3930.60	1.13
-AAAAAAAAODPAAAAA	In particular long-term masses may remove sometimes in a results. New ranks	Sports	optics	5.94	6834.18	1.98
-AAAAAAAAOFABAAAA	Implicati	Sports	optics	2.46	1430.04	0.41
-AAAAAAAAOGADAAAA	Only, important needs should think just classical programmes. Sha	Sports	optics	0.24	6049.79	1.75
-AAAAAAAAOGCDAAAA	Ago senior attacks put however significant regions; hotels produce also. Here appropriate men could watch extremely kindly useful affair	Sports	optics	3.15	10848.06	3.14
-AAAAAAAAOGLBAAAA	Too supreme refugees will invade also of course little teeth. Entirely popular schemes may see else less positive memories. Wives may inquire well processes. Available, true parties	Sports	optics	6.43	549.90	0.15
-AAAAAAAAOHCCAAAA	Sex	Sports	optics	3.66	11777.64	3.41
-AAAAAAAAOIECAAAA	Historians move actually religious shops. Physical members ought to go difficult children. Added, successful studies form only. High, different pubs fit before in the 	Sports	optics	5.87	1760.64	0.51
-AAAAAAAAOIHCAAAA	Economic terms will not establish certain carers; distinguished acids go for example. Tory resources shall put normally perhaps detailed subjects. Wide emotions	Sports	optics	82.56	16593.64	4.80
-AAAAAAAAPCOAAAAA	Employees pay ahead comme	Sports	optics	93.19	5383.95	1.56
-AAAAAAAAPDDEAAAA	Schools must evaluate secondly; quite democratic recommendations will assess however lines. Always effective strings can step just; sides could work. However normal operatio	Sports	optics	2.31	15236.42	4.41
-AAAAAAAAAELCAAAA	Normal, russian names provide also. Lips favour now vocational, frequent streets. Manufacturing muscles shall mould new, other residents. Afterwards special arms 	Sports	outdoor	3.92	3977.22	1.07
-AAAAAAAAAKHAAAAA	Key names make somewhere. Women develop moreover favorite, widespread needs; also new	Sports	outdoor	6.76	5091.27	1.38
-AAAAAAAAANECAAAA	Conventional, responsible products discuss delicately then actual findings. Extremel	Sports	outdoor	3.67	2033.52	0.55
-AAAAAAAABNGCAAAA	Used proceedings can serve. Severe schools may possess enough to a eyes. Equal, small figures will assure economic, easy methods. Mostly central weeks can state superb	Sports	outdoor	2.13	17333.77	4.70
-AAAAAAAABOMBAAAA	Common are	Sports	outdoor	1.31	14565.86	3.95
-AAAAAAAACFKAAAAA	Normal ideas practise more. Late, particular cases may not pay rightly open, whole arms. Too cautious ways see useless, main arrangements; poor things hear straight top managers. Ch	Sports	outdoor	0.60	2914.60	0.79
-AAAAAAAACGAAAAAA	Opportunities clear there. Basic rules ask british locations. More financial visits construct other funds. Unk	Sports	outdoor	3.16	1467.36	0.39
-AAAAAAAACGFDAAAA	Public clothes ought to open. So principal trials hold again under a feelings; large, economic requirements think for a years; small wages ought to 	Sports	outdoor	9.66	2259.92	0.61
-AAAAAAAACIDEAAAA	Appropriate stations investigate just to a	Sports	outdoor	3.48	4192.39	1.13
-AAAAAAAACIICAAAA	Certainly other girls take by the cha	Sports	outdoor	8.69	5419.55	1.46
-AAAAAAAACPGDAAAA	Then mad churches may think flat vast everyday directors.	Sports	outdoor	6.76	3418.63	0.92
-AAAAAAAADGOCAAAA	Substantially olympic leaders leap stars. Average, urban nations find games. Electronic years might not go ago sa	Sports	outdoor	0.09	5470.62	1.48
-AAAAAAAAEAFEAAAA	Camps pay wo	Sports	outdoor	0.92	10329.33	2.80
-AAAAAAAAEHMAAAAA	Properly young things would tell comparatively deep, beaut	Sports	outdoor	0.55	1366.17	0.37
-AAAAAAAAEMCBAAAA	O	Sports	outdoor	92.60	1351.68	0.36
-AAAAAAAAEMDAAAAA	Dry troops may say far legal branches. Women remember for a bacteria. Poles can pass away stages. Grounds might not ask now famous ambitions. Only public dates need soon.	Sports	outdoor	4.66	29705.79	8.05
-AAAAAAAAENPDAAAA	Other bedrooms kill important, unusual names. Places rival future tasks. By now other boys incorporate. Yesterday major agents might service then to a politicians; dead pains can get to 	Sports	outdoor	6.47	142.39	0.03
-AAAAAAAAEODEAAAA	Blue roses change also autonomous horses. Foreign, green patients mean visitors; hardly global others ought to laugh only foreign only proposals. Methods keep further ros	Sports	outdoor	23.68	3256.27	0.88
-AAAAAAAAFACDAAAA	Just young partie	Sports	outdoor	4.58	610.20	0.16
-AAAAAAAAFBCCAAAA	Decisions want heads. Documents could involve different sales. Particular tables adopt statistic	Sports	outdoor	4.81	6716.01	1.82
-AAAAAAAAFECCAAAA	Areas must think always. Longer responsible standards reappear. Other powers cover various players. Areas accept with a resources. As necessary things might not take more than top, 	Sports	outdoor	6.09	2358.50	0.63
-AAAAAAAAFFGDAAAA	D	Sports	outdoor	51.59	150.15	0.04
-AAAAAAAAFGEBAAAA	Chairs store much major owners. Long-term, civil profits rise mor	Sports	outdoor	6.87	1117.50	0.30
-AAAAAAAAGCCAAAAA	Visible members defeat low in the sons. Final measures wish clear clouds. In order public years cannot find la	Sports	outdoor	3.72	17568.36	4.76
-AAAAAAAAGCJDAAAA	Lessons 	Sports	outdoor	6.67	11553.03	3.13
-AAAAAAAAGDFAAAAA	Longer usual findings afford yet. As willing other	Sports	outdoor	1.75	2373.25	0.64
-AAAAAAAAGFEBAAAA	Ago rural mice must read new minutes. More safe levels step into a names. Walls conceive sensitive, old voices. Then cu	Sports	outdoor	6.76	15436.43	4.18
-AAAAAAAAGFIBAAAA	Regional, standard followers exercise as recent, different facts. Discussions bear early men; now good instruments might not admit just better red cuts.	Sports	outdoor	4.68	3570.40	0.96
-AAAAAAAAGJIAAAAA	Just modern pictures would put considerations. Like homes check hard, ethnic words. Then new books cannot flood here by the qualities; marks shall pay jobs. Huge, model environments ca	Sports	outdoor	3.63	6943.61	1.88
-AAAAAAAAHHEBAAAA	Others come in addition voluntary issues. Nations shall not speak even social, educational results; old moments might laugh. Comparisons cost safe, middle problems. Right waves res	Sports	outdoor	7.97	4009.43	1.08
-AAAAAAAAHKBBAAAA	Hard sudden aspects shall not commemorate about a functions. Western, british cases see here churches. Stairs a	Sports	outdoor	4.43	4234.22	1.14
-AAAAAAAAHNEBAAAA	Cultural, critical descriptions shall get hands. Lips afford unknown benefits. Due layers move yes	Sports	outdoor	1.34	1679.13	0.45
-AAAAAAAAIFMDAAAA	Considerable, long-term cases co	Sports	outdoor	2.16	9511.23	2.57
-AAAAAAAAIICCAAAA	Low protective actors may not bite far items. Hence new eyes 	Sports	outdoor	8.30	11492.30	3.11
-AAAAAAAAILGAAAAA	Uncomfortable users should pursue already social conditions. Either national friends may not reject now per 	Sports	outdoor	5.25	1285.08	0.34
-AAAAAAAAIMBCAAAA	Over recent build	Sports	outdoor	6.57	6012.31	1.63
-AAAAAAAAJCFAAAAA	Willingly sensible accounts tell directly big bodies. Concerned hours win also agricultural attacks. Variable ends might not ensure together hands. Public police used to come probably with a	Sports	outdoor	84.32	3185.37	0.86
-AAAAAAAAJILAAAAA	Objectives ought to let in short short levels. Industries exist within a examples. Papers will come inevitably again other musicians. Possible, sexual parts rise very effective to	Sports	outdoor	8.78	23987.33	6.50
-AAAAAAAAKBFDAAAA	Local, likely funds grow inner studies. Twice close res	Sports	outdoor	9.23	3450.44	0.93
-AAAAAAAAKCLAAAAA	In addition blue feet feel. Ever real prices endanger at last only dramatic p	Sports	outdoor	6.89	349.44	0.09
-AAAAAAAAKCOAAAAA	Immediate, mixed hospitals become; bad, clear rates cut still for a units; independently existing weeks in	Sports	outdoor	39.82	7265.77	1.97
-AAAAAAAAKINDAAAA	Personal shoulders must not tell widely impressive students. So english courts grow somewhere social classes. Conditions come earlier from a 	Sports	outdoor	9.33	4593.31	1.24
-AAAAAAAAKMABAAAA	Pretty, part	Sports	outdoor	2.90	2185.56	0.59
-AAAAAAAAKMAEAAAA	True calls stand again now strong musicians; political, lovely directions know more financial charts. Probably overall eyes risk even meetings. Servic	Sports	outdoor	3.81	5524.85	1.49
-AAAAAAAALFGDAAAA	Things ought to laugh well posts. Supposed problems will not make. Also married products might move totally now main goals. Active, normal funds	Sports	outdoor	7.43	2016.67	0.54
-AAAAAAAALLAAAAAA	Patients could learn then fund	Sports	outdoor	0.79	7293.77	1.97
-AAAAAAAALONCAAAA	Implicit, little students used to think recently into the pictures. Essen	Sports	outdoor	6.27	15262.60	4.13
-AAAAAAAAMGOCAAAA	Children wear with 	Sports	outdoor	38.33	14661.28	3.97
-AAAAAAAAMLCAAAAA	Members might surrender relatively now standard friends. Soviet thanks go either fortunate arrangements. Main manufacturers must try into a police. Almost difficult plans must 	Sports	outdoor	2.43	2921.90	0.79
-AAAAAAAAOGCBAAAA	Stages choose ever to the companies. Certain, national issues respond also reports. International, alive pupils get associated, conscious difficulties. High interests marry very high hands. There far 	Sports	outdoor	7.68	8848.40	2.39
-AAAAAAAAOIGDAAAA	Roads would not want over healthy events. Typical lines drop please there original volumes. Hours question actually lost specialists. Royal, new participants f	Sports	outdoor	4.69	8049.30	2.18
-AAAAAAAAOJJDAAAA	Protective appearances call then new, long-ter	Sports	outdoor	1.26	8878.87	2.40
-AAAAAAAAONHDAAAA	Sessions write however; tests ought to make eithe	Sports	outdoor	6.24	11581.72	3.14
-AAAAAAAAPADBAAAA	Ears must get almost by a centre	Sports	outdoor	3.86	8801.98	2.38
-AAAAAAAAPFMCAAAA	Global, ugly flowers can pray just parti	Sports	outdoor	8.53	3096.72	0.83
-AAAAAAAAPNAAAAAA	Regular, bad memories might	Sports	outdoor	5.87	5847.16	1.58
-AAAAAAAAACBBAAAA	Severe characteristics enter top, individual teachers. Elderly homes may speak relations. Here senior others get determined, prime sizes. Palestinian feelings work today	Sports	pools	3.20	1521.13	0.42
-AAAAAAAAAJDBAAAA	Black, particular months should make deep children. Open standards reopen over at a policies. Dangerous contents might mean on a streets. Very general cars need so into a practitioners; members ensu	Sports	pools	83.43	3109.41	0.86
-AAAAAAAABDCEAAAA	Else married minutes must not believe	Sports	pools	1.22	10195.66	2.82
-AAAAAAAABFKAAAAA	Desperately prime vehicles will not remedy widely for once difficult operations. Distinct pla	Sports	pools	3.18	445.48	0.12
-AAAAAAAABGFBAAAA	Too scientific letters could not depend more; instead national attitudes read less magnificent politici	Sports	pools	4.01	610.72	0.16
-AAAAAAAABKEBAAAA	Good, single pupils should not combine prisoners; a.d. strong shelves mean now p	Sports	pools	0.83	9580.39	2.65
-AAAAAAAABOJBAAAA	Strange, social rooms point alternatively in an tracks. Elegantly russian vehicles can tell; long ministers should want now mou	Sports	pools	30.29	3084.95	0.85
-AAAAAAAACACEAAAA	Approximately similar examples must not incur. Communities look explicit, additional responsibilities; new symptoms get so best big others. Jobs sell even. Small 	Sports	pools	0.62	4.72	0.00
-AAAAAAAACBDBAAAA	Twice recent conditions inform agai	Sports	pools	6.04	21280.67	5.90
-AAAAAAAACEEBAAAA	Expectations adopt decent creatures. Only efficient features could evoke nearly down a officials. Just urban stars could stick lakes. Then empty jobs should not encourage ever 	Sports	pools	8.12	1818.28	0.50
-AAAAAAAACIECAAAA	Just professional facilit	Sports	pools	8.12	9604.50	2.66
-AAAAAAAACLDAAAAA	Desperate activities increase likely judges. Standards may not make national, fatal courses. Soon european factories hear various cattle; possible rates 	Sports	pools	6.33	1442.22	0.40
-AAAAAAAACMPAAAAA	New jews would not accept normally at the authorities. Forward integrated processes should find today. Ago possible americans shield 	Sports	pools	6.25	1734.73	0.48
-AAAAAAAACOAEAAAA	Military, economic words shall know 	Sports	pools	2.54	10250.37	2.84
-AAAAAAAADLBBAAAA	Old-fashioned doctors must not bring generally. British rats serve skilled brothers. Wrong women will look definite conditions. Then vita	Sports	pools	9.68	6582.59	1.82
-AAAAAAAADMICAAAA	Teachers shall rebuild later as unique years. Certainly international shares may help. Good causes spare in order from the years. Groups	Sports	pools	7.63	1686.77	0.46
-AAAAAAAAECEBAAAA	Forms should pursue really. Shops govern european, final situations; suitable, nuclear years colour; yards make all alternative qualities. Readers used to help europe	Sports	pools	5.14	12215.61	3.38
-AAAAAAAAEGMAAAAA	Strange, different photographs put all. Well other parties occur towards a championships. Female families take again high farms. Public mat	Sports	pools	9.86	3861.63	1.07
-AAAAAAAAEIAEAAAA	At last front mechanisms can 	Sports	pools	9.64	10133.16	2.81
-AAAAAAAAELGBAAAA	About international concentrations could avoid then alone apparent activities; inadequate, mediterranean days get eve	Sports	pools	6.63	8919.39	2.47
-AAAAAAAAEMMAAAAA	Years take at least national projects. Other things go here worth a ideas. Perhaps political countries monitor more for good dependent ch	Sports	pools	3.72	598.06	0.16
-AAAAAAAAEMNAAAAA	More local cities market as; numerous exercises rescue conditions. Cold weeks shall get well religious, english jeans; so economic services worry days. Then new routes carry very clie	Sports	pools	4.41	13194.25	3.65
-AAAAAAAAEODBAAAA	Here particular years could not accept even. Ideal, lesser sciences take plainly regular hands. Routinely vulnerable names might find very right lives. Long circumstances used to raise act	Sports	pools	7.76	22986.75	6.37
-AAAAAAAAFENAAAAA	Thick, single subjects wait also. Often popular places could steer as supreme, able cities. Up	Sports	pools	0.16	18316.69	5.08
-AAAAAAAAFFPAAAAA	More natural feet should assume ever due, certain problems. Large offic	Sports	pools	3.94	5514.84	1.52
-AAAAAAAAGFJCAAAA	Even old examples shall take very. Local legs shall last nu	Sports	pools	3.47	11105.27	3.08
-AAAAAAAAGGMCAAAA	Lightly mental views might not involve partly carefully real figures. Just continued terms look. Only new artists used to go very orders; even great women listen apparently. Formal, similar 	Sports	pools	5.35	4894.62	1.35
-AAAAAAAAGIIAAAAA	Usually temporary classes can apply	Sports	pools	3.20	2476.10	0.68
-AAAAAAAAGLCAAAAA	Educational groups	Sports	pools	0.70	5180.07	1.43
-AAAAAAAAGLOAAAAA	Old, professional neighbours should continue as. Co	Sports	pools	1.88	7979.15	2.21
-AAAAAAAAGMFAAAAA	Fields generate. Universities get honest, fixed locations. Possible requirements might not see ideas. Communications visit continuous others. Stor	Sports	pools	1.76	4668.60	1.29
-AAAAAAAAHKKBAAAA	Separate flowers agree most likely points. Overseas funds used to weaken only effective brothers. Industrial events must not hear colonial aspect	Sports	pools	2.14	12936.15	3.58
-AAAAAAAAIBGBAAAA	Particular departments draw never most stupid shoulders. Lonely areas see again high, british units; sure, english seats might round arguments. Running, interesting weeks ought to handle 	Sports	pools	95.36	61.74	0.01
-AAAAAAAAIFCEAAAA	Possible companies will admire less things. Systems can pay. Small quantities see then as a boys; different designers make well for a personn	Sports	pools	4.20	6007.90	1.66
-AAAAAAAAIGNCAAAA	Really young players attack badly economic sources. Practices open proposals; else unlikely cities will report parties. Visible	Sports	pools	7.62	6195.49	1.71
-AAAAAAAAIGOBAAAA	Unable, central streets move as new men. Wet, r	Sports	pools	9.62	2517.90	0.69
-AAAAAAAAIINAAAAA	Inland, royal areas make far by a officers. Helpful p	Sports	pools	91.95	752.88	0.20
-AAAAAAAAJBCBAAAA	Payments work certainly deep proteins; now other reports used to attempt to a matters.	Sports	pools	91.49	2485.46	0.68
-AAAAAAAAJCEBAAAA	Actual, natural areas know. Everyday things love very issues. Crimes remain always days. Active systems remember then. Dreams might tell from the shadows. Leading votes enable personal, ent	Sports	pools	0.87	8187.22	2.27
-AAAAAAAAJPBDAAAA	Vague, decent years experiment rather rare tensions. Good, commercial parties lead poorly british, helpful others. Ago 	Sports	pools	4.35	4849.86	1.34
-AAAAAAAAKFHDAAAA	Social shops could not marry currently individually continental children; at least nice details offer 	Sports	pools	2.54	6584.75	1.82
-AAAAAAAAKHMAAAAA	Mad relationships know essentially little books. Statemen	Sports	pools	0.76	1400.90	0.38
-AAAAAAAAKIAEAAAA	Bad examples must like quickly old, suitable sales. Basic things should	Sports	pools	70.46	577.11	0.16
-AAAAAAAAKLFCAAAA	Intact times reach recordings; diseases meet very primary workers; economic, unknown aspects inhibit notoriously colleagues. Vague, smal	Sports	pools	0.74	13660.56	3.78
-AAAAAAAALCCBAAAA	Likely opportunities used to exercise quiet, present children. Early, limited reasons mean also small types. Possible cases will not stop inevitably major, safe eyebrows. Also economic	Sports	pools	8.65	2489.21	0.69
-AAAAAAAALFMDAAAA	Conditions want well enormous, proper cells; claims ought to clear now to the times. As well divine surfaces know persistent, ha	Sports	pools	74.70	1363.09	0.37
-AAAAAAAALICBAAAA	Wide, firm offices may signify yet eligible periods. Terms compensate empty, new circumstances; negotiations used to make then major users. True, aggressive l	Sports	pools	9.90	3230.49	0.89
-AAAAAAAAMEGAAAAA	Possible, quick products shall not h	Sports	pools	76.51	467.35	0.12
-AAAAAAAAMICDAAAA	Always flexible males want moreover very r	Sports	pools	6.68	9034.76	2.50
-AAAAAAAAMKECAAAA	Languages want as with a offenders. Common, damp experts will gain cases; at first long years would remind later recently old decades. Simple, regional customers shall fi	Sports	pools	0.55	7067.91	1.96
-AAAAAAAAMPGCAAAA	Man	Sports	pools	6.46	8843.74	2.45
-AAAAAAAANCGEAAAA	Certain, distinct obligations wish. Buyers can start just circumstances. Events should thank for the places. Difficult agreements would need with the systems. Wome	Sports	pools	0.42	8.85	0.00
-AAAAAAAANNJCAAAA	Good, public systems should act very top trees. Monetary, determined words could alleviate then hills. 	Sports	pools	26.29	16463.17	4.56
-AAAAAAAAOAPDAAAA	For example different colleagues hear 	Sports	pools	9.94	7603.76	2.10
-AAAAAAAAOBACAAAA	Blue areas may not go inc temperatures. Sole, responsible standards follow females. Different, lit	Sports	pools	6.71	4970.94	1.37
-AAAAAAAAOEEDAAAA	Twice ready fears w	Sports	pools	7.21	1410.98	0.39
-AAAAAAAAOFEAAAAA	Financial, unknown features could regard really. Desirable, hard glasses go fast friends. Political churches attempt; nearly required feelings will	Sports	pools	2.34	3804.18	1.05
-AAAAAAAAOONDAAAA	So global premises fly for good. Men join territorial, dear shows. New, ltd. cases may not decide also sometimes scottish earni	Sports	pools	5.89	6928.71	1.92
-AAAAAAAAPFEBAAAA	Poor, large reforms must give general months. Executive, old parts must want economic investigations. Still, other girls assist almost publications. Classes mean wi	Sports	pools	63.66	1243.89	0.34
-AAAAAAAAPLJCAAAA	Mainly alone trees would join quite military projects. Unexpected, royal developments would agree today then good cups. Very foreign representatives show necessarily similar costs. Rele	Sports	pools	3.34	4400.15	1.22
-AAAAAAAAADFDAAAA	Examples can use only considerable cases. Cells will offer individuals. Sure minute weaknesses might write successive prisons. For example black c	Sports	sailing	3.34	5563.78	2.15
-AAAAAAAAAHDBAAAA	Vast, low years might find for instance 	Sports	sailing	2.67	991.20	0.38
-AAAAAAAAAKAAAAAA	Desirable members will compare in a terms. Light friends shall record notably there continuous problems. Late, re	Sports	sailing	1.17	16944.30	6.55
-AAAAAAAAAKPBAAAA	Clean, prominent readers used 	Sports	sailing	2.84	9477.26	3.66
-AAAAAAAAAMFDAAAA	Possible, old failures could stand often modern terms. Rooms might write months. Photograp	Sports	sailing	4.26	5581.39	2.15
-AAAAAAAAANOCAAAA	Outstanding, small friends face here possibly temporary events; joint clothes 	Sports	sailing	9.84	3977.12	1.53
-AAAAAAAABCGBAAAA	Frankly tory miles might make extremely new properties; either big pictures must not return therefore in a cities. Perhaps effective assessments emerge parliamentary opponents. Probably external purpo	Sports	sailing	7.68	5661.58	2.18
-AAAAAAAABEIAAAAA	Originally federal implications continue always manufacturers. Ins	Sports	sailing	0.63	4209.36	1.62
-AAAAAAAABEPCAAAA	Good, white children shall know also prime creatures. Big pockets take; often coming stands notice substantially warm parents. Small points sha	Sports	sailing	8.09	7948.33	3.07
-AAAAAAAACBMBAAAA	Ca	Sports	sailing	0.93	1188.60	0.45
-AAAAAAAACEKBAAAA	English, familiar details may	Sports	sailing	35.26	912.12	0.35
-AAAAAAAACLIBAAAA	Close,	Sports	sailing	4.04	9506.48	3.67
-AAAAAAAADGGBAAAA	Forward students can involve there aware lawyers. Scientifically costly achievements could involve sta	Sports	sailing	1.09	1670.72	0.64
-AAAAAAAAEIFAAAAA	New girls reach exactly; only additional students wil	Sports	sailing	3.94	7390.63	2.85
-AAAAAAAAEKGAAAAA	Good, dependent houses can prevent different eyes. Spiritual, new ministers tell new difficulties; customers will encourage over busy relations. Modern, substantial far	Sports	sailing	1.58	4598.55	1.77
-AAAAAAAAENPAAAAA	Eventual, little patients make demonstrations. Please left books can escape greek hands. Years shall not lift also loudly developing friends. Poor projects hear mos	Sports	sailing	4.83	8568.30	3.31
-AAAAAAAAFHPBAAAA	Good, white rivers leave only. Just chosen tiles enter v	Sports	sailing	3.37	20327.26	7.85
-AAAAAAAAFNKDAAAA	Pale, normal schools used to separate long-term, significant drug	Sports	sailing	1.48	5750.04	2.22
-AAAAAAAAGAHDAAAA	Areas check again. Religious seeds should monitor really nuclear objectives; improvements believe total trouse	Sports	sailing	2.31	985.60	0.38
-AAAAAAAAHJCEAAAA	Different needs protect hundreds. Classes may happen quite all english categories. Closed parents last on a failures. As right cars apply even ingredients. Real, financial losses should n	Sports	sailing	7.16	5259.46	2.03
-AAAAAAAAHJMAAAAA	Sharp brief preferences cannot know overall levels. Joint, good feet visit probably. Players will not get small stars	Sports	sailing	1.91	11340.70	4.38
-AAAAAAAAHKEEAAAA	Particular writers might not get partly in a creditors. Pains might not manage often now full patients. Strong, important societies get	Sports	sailing	3.12	8434.12	3.26
-AAAAAAAAIAODAAAA	European, solid councils might oppose usually dull, busy indians; public, adequate drugs 	Sports	sailing	40.11	2868.61	1.10
-AAAAAAAAIFGBAAAA	Just sheer others support of course then vital eggs. Polls used to distinguish easily complex circumstan	Sports	sailing	1.59	330.46	0.12
-AAAAAAAAIGPDAAAA	Armed, old policies might not come ordinary effects. Then proper courses will give at least quie	Sports	sailing	1.61	57.96	0.02
-AAAAAAAAJHNCAAAA	Lucky figures shock else. Conservatives will not lay generally permanent, y	Sports	sailing	8.16	2125.83	0.82
-AAAAAAAAJNNCAAAA	Men fire old, other affairs. Moral, young shelves could take more after a others; too growing customers must not want reasonably off the talks. Centuries like. Eyes thank much new, special goods; hug	Sports	sailing	0.20	10072.78	3.89
-AAAAAAAAKLDBAAAA	Specified banks close characters. Long sections stop unduly burning teachers. Leading, certain colonies could not live determined forces. Legs say. Administrative clothes say only personal 	Sports	sailing	0.91	581.13	0.22
-AAAAAAAAKLGBAAAA	Foreign, lucky components must reduce t	Sports	sailing	6.01	3026.86	1.17
-AAAAAAAAKNKBAAAA	Of course large structures describe. Used factors would know commercial benefits. Then appropriate circumstances should not know so new terms; ev	Sports	sailing	2.18	3899.16	1.50
-AAAAAAAAKOAEAAAA	Small, dead particles set recently other boxes. Bright, personal locations house novel jobs. Twice residential judges underpin directions. Others want. Other songs star too p	Sports	sailing	0.78	1941.55	0.75
-AAAAAAAAMAKAAAAA	However important children could expect sincerely by way of a potatoes. Even able cars suggest by the issues. Shoes would perform sincerely 	Sports	sailing	4.86	4448.31	1.71
-AAAAAAAAMCJCAAAA	Exactly left yea	Sports	sailing	0.54	6631.39	2.56
-AAAAAAAAMECCAAAA	Desirable stars should introduce to	Sports	sailing	6.99	5638.06	2.17
-AAAAAAAANAIBAAAA	Fond sentences must add in a documents. Also in	Sports	sailing	11.59	6231.21	2.40
-AAAAAAAANCPBAAAA	Average, mean unions include. Cold ways shall work particularly from no rights. Already crucial agencies get very professional days. Perhaps huge methods rule financially awful arms. Strong vehicl	Sports	sailing	7.97	4916.04	1.90
-AAAAAAAANMMDAAAA	Friends used to assume otherwise; interested days take days. A bit primary exports should break steadily serious modern responsibilities. Judges can provide as american, mysterious schools.	Sports	sailing	1.52	28193.51	10.90
-AAAAAAAAOACDAAAA	Men break for the magistrates. Eager, bad forms must not support very famous things; go	Sports	sailing	4.67	4159.07	1.60
-AAAAAAAAOADCAAAA	Facilities increase. Economic holders see ancient animals. Little e	Sports	sailing	0.98	2137.13	0.82
-AAAAAAAAOCDEAAAA	Electrical, warm buildings die; more poor hopes must monitor never evident patients. Heavy issues would identify real, british armies; big, enormous claims lie yet home 	Sports	sailing	5.78	729.17	0.28
-AAAAAAAAODLDAAAA	Tasks can vote only basic men. Profits should not check later everyday decades. Favorite hands	Sports	sailing	7.47	3762.20	1.45
-AAAAAAAAOIKAAAAA	Great, old things will back about however modern yards. Rather selective rows may not try presumably differences. Weapons used to read organizations; go	Sports	sailing	4.36	2630.35	1.01
-AAAAAAAAPCBBAAAA	Social, resulting branches mi	Sports	sailing	7.52	5343.12	2.06
-AAAAAAAAPEFBAAAA	Tears present total duties. Minutes may not m	Sports	sailing	5.27	1803.00	0.69
-AAAAAAAAPKCBAAAA	Growing, different minutes agree actually in accordance with a units. Necessary powers make even. Brown, high names would not say; sales must no	Sports	sailing	1.22	8285.78	3.20
-AAAAAAAAPKMDAAAA	Panels ought to make relations. Adverse, new calculations mu	Sports	sailing	3.69	2543.06	0.98
-AAAAAAAAADIAAAAA	Lips see outside quickly protective systems. 	Sports	tennis	4.65	8227.57	2.83
-AAAAAAAAAEAEAAAA	Men shall not play so financial shares; just black deposits might say probably. Level exhibitions receive safely empty, international investors. Industri	Sports	tennis	27.60	7679.09	2.64
-AAAAAAAAAEHCAAAA	Quite social police choose. Recent, old lives go in a voices. Inherent, busy competitors ought to win local, basic titles. However ready years need m	Sports	tennis	1.71	12612.57	4.35
-AAAAAAAAAILAAAAA	Hands respond quickly heavy armies. Firms must reduce into a numbers; personal, british figures transfer entirely logi	Sports	tennis	3.17	2894.28	0.99
-AAAAAAAAAKECAAAA	Importantly differen	Sports	tennis	7.92	10177.21	3.51
-AAAAAAAAAODCAAAA	Well major enemies might access only extra good parties. Other, quiet eyes can buy completely western, effective feelings; materi	Sports	tennis	3.89	15012.51	5.17
-AAAAAAAAAPOAAAAA	A little average flames ought to break old, unique men. Things select often red, economic others. Hands will lift sufficiently; german, proper sections worry perhaps for the po	Sports	tennis	1.79	25290.31	8.72
-AAAAAAAABMNCAAAA	Low, fair hours lead other stones. Also clear differences mention eastern contexts; men end essential, ltd. ages. International, cultural months continue earlier. Problems reduce	Sports	tennis	2.90	4504.82	1.55
-AAAAAAAACCABAAAA	Alone rises mus	Sports	tennis	1.09	2876.08	0.99
-AAAAAAAACCAEAAAA	Top costs ask less real husbands. Cautious, other tactics catch. Talks will not steal now. Stages use; massive changes get even with the l	Sports	tennis	3.12	18361.88	6.33
-AAAAAAAACGBEAAAA	Right weeks might rain further satisfactorily valuable hospitals. Yellow years could create so large, right changes. Rows must spend only.	Sports	tennis	0.97	6908.74	2.38
-AAAAAAAACGOBAAAA	Awkward, poor points cannot weigh plants. Single, reasonable players may not go around scottish products. Then presidential years suffer clubs. Problems would attrac	Sports	tennis	4.15	10926.00	3.76
-AAAAAAAACICCAAAA	Other, other changes used to sort light facts. Issues help fully usual, fair gr	Sports	tennis	2.25	8608.85	2.96
-AAAAAAAACJCBAAAA	English activities explain old principles. Years make other, little governors; able materials shrink grimly by the wishes. Wide months prevent so in a adults. Functions cannot ask blind events. St	Sports	tennis	1.00	5962.12	2.05
-AAAAAAAACJFEAAAA	Molecular eyes turn different terms. Details will attack large, implicit members. Acceptable, only drugs br	Sports	tennis	2.95	11254.12	3.88
-AAAAAAAACMFBAAAA	Museums addre	Sports	tennis	5.20	15262.13	5.26
-AAAAAAAADHCEAAAA	Alone, international clients can retire at least other services; even major properties come in a grounds.	Sports	tennis	68.55	6569.13	2.26
-AAAAAAAAEFFCAAAA	Animals cannot make most sides; just wealthy babies could fulfil as before a records. Now literary results used to say human, unique genes. Bo	Sports	tennis	4.85	1131.00	0.39
-AAAAAAAAEKIAAAAA	Unlikely letters inhibit only jobs. Brightly hard procedures might eat mainly complex odd tories. Powers would not achieve too dem	Sports	tennis	2.51	5191.75	1.79
-AAAAAAAAEPHCAAAA	Equally adequate schools obtain for a commentators. Women would keep suddenly systems. Disastrous, old authorities enforc	Sports	tennis	0.23	942.98	0.32
-AAAAAAAAFEMBAAAA	Natural hands will see almost simple, alone seconds. Regulations shall impress white,	Sports	tennis	99.85	3415.62	1.17
-AAAAAAAAFHNDAAAA	Machines cannot fit too successive levels. Inner, european eyes could call now misleading,	Sports	tennis	4.86	6685.68	2.30
-AAAAAAAAGGFDAAAA	Bad, various p	Sports	tennis	8.16	10783.34	3.71
-AAAAAAAAGNHDAAAA	Economic standards shall bring even strong measures. More main improvements want 	Sports	tennis	4.72	216.30	0.07
-AAAAAAAAHJOBAAAA	Highly local li	Sports	tennis	9.81	16310.70	5.62
-AAAAAAAAIFFCAAAA	Most neat years must pitch with a minutes. Quite symbolic accounts should not engage never either normal girls. Somehow specific s	Sports	tennis	3.56	1278.99	0.44
-AAAAAAAAINDEAAAA	Sexual, green processes enjoy so single, vast advisers. Recently c	Sports	tennis	2.61	7287.48	2.51
-AAAAAAAAIPKBAAAA	Fine minds would not ask usually securities. Immediate, natural classes come personally angles. White years shall appear important, material aspects; simply general years organize al	Sports	tennis	5.66	908.15	0.31
-AAAAAAAAKDCEAAAA	Big, huge goals add usually here commercial things; keen, pregnant years might imagine somewhere rules. Highly respo	Sports	tennis	2.11	\N	\N
-AAAAAAAAKHEEAAAA	Active values may not capture. Casually political minutes would recognis	Sports	tennis	2.20	1466.29	0.50
-AAAAAAAAKKCEAAAA		Sports	tennis	\N	3075.00	1.06
-AAAAAAAAKLDEAAAA	Difficult, adult details can know exactly western, other problems. Closed activities might serve easy, open cases. Numbers end even even busy jobs. Social, wrong eggs play of course with a figure	Sports	tennis	1.10	2962.43	1.02
-AAAAAAAALFJDAAAA	Friendly offices feel. Delightful servants give almost previously natural earnings. Written, important books press subject, american parents. New, reduced days shall n	Sports	tennis	0.40	4498.59	1.55
-AAAAAAAALOHCAAAA	Other, clinical senses display more. Suddenly video-taped friends take here local, african policies. Muscles think much local letters. Tired, parti	Sports	tennis	2.50	4619.48	1.59
-AAAAAAAAMCBCAAAA	American, far marks consider early comments. Carefully various recordings see brief patients; hours bring local calls. Often various scenes capitalise coming, other a	Sports	tennis	53.43	10911.68	3.76
-AAAAAAAANCKAAAAA	Green, different animals might delay mostly other, similar miles. Then tiny attempts take obviously very constant machines. Prime schools like again pe	Sports	tennis	4.58	6298.64	2.17
-AAAAAAAANFOCAAAA	Active, red things shall remain from the colleagues; largely high members form barely i	Sports	tennis	5.94	275.45	0.09
-AAAAAAAANNBEAAAA	Possible, friendly goods slow certainly prepared, obviou	Sports	tennis	0.69	3601.94	1.24
-AAAAAAAANPPDAAAA	Top goals set private things. Too strange years reduce especially national differe	Sports	tennis	3.95	1370.84	0.47
-AAAAAAAAOAMAAAAA	Professional interests cannot accept necessarily. Settlements cook cheap h	Sports	tennis	1.98	780.00	0.26
-AAAAAAAAOCMBAAAA	Others navigate projects. Democratic, experimental margins ought to tell often personal, current reasons. Ph	Sports	tennis	17.35	7175.61	2.47
-AAAAAAAAOKHAAAAA	So british cases could not know hard. Grateful, single drugs should not get secondly international levels. Considerations used to connect governments. Exact men get at a patients. Yesterday good men s	Sports	tennis	19.51	10576.76	3.64
-AAAAAAAAOPGDAAAA	Households help minutes. C	Sports	tennis	2.37	3171.34	1.09
-AAAAAAAAPBMDAAAA	Superior contributions speed. Areas should en	Sports	tennis	95.22	1843.31	0.63
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q99.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q99.out
deleted file mode 100644
index a0a5ea3ccb..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/pipeline_q99.out
+++ /dev/null
@@ -1,93 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q99 --
-	EXPRESS	Mid Atlantic	1223	1314	1257	0	0
-	EXPRESS	NY Metro	1274	1296	1286	0	0
-	EXPRESS	North Midwest	1159	1329	1276	0	0
-	LIBRARY	Mid Atlantic	941	978	948	0	0
-	LIBRARY	NY Metro	886	1001	1009	0	0
-	LIBRARY	North Midwest	917	943	991	0	0
-	NEXT DAY	Mid Atlantic	1304	1264	1349	0	0
-	NEXT DAY	NY Metro	1271	1251	1291	0	0
-	NEXT DAY	North Midwest	1199	1233	1273	0	0
-	OVERNIGHT	Mid Atlantic	965	989	967	0	0
-	OVERNIGHT	NY Metro	979	993	1039	0	0
-	OVERNIGHT	North Midwest	946	1016	905	0	0
-	REGULAR	Mid Atlantic	933	994	997	0	0
-	REGULAR	NY Metro	961	1022	1034	0	0
-	REGULAR	North Midwest	893	921	949	0	0
-	TWO DAY	Mid Atlantic	972	968	972	0	0
-	TWO DAY	NY Metro	926	974	1004	0	0
-	TWO DAY	North Midwest	941	921	981	0	0
-Bad cards must make.	EXPRESS	Mid Atlantic	1270	1318	1281	0	0
-Bad cards must make.	EXPRESS	NY Metro	1226	1287	1282	0	0
-Bad cards must make.	EXPRESS	North Midwest	1208	1242	1294	0	0
-Bad cards must make.	LIBRARY	Mid Atlantic	962	976	1009	0	0
-Bad cards must make.	LIBRARY	NY Metro	978	984	999	0	0
-Bad cards must make.	LIBRARY	North Midwest	898	959	958	0	0
-Bad cards must make.	NEXT DAY	Mid Atlantic	1225	1328	1327	0	0
-Bad cards must make.	NEXT DAY	NY Metro	1262	1325	1246	0	0
-Bad cards must make.	NEXT DAY	North Midwest	1227	1300	1276	0	0
-Bad cards must make.	OVERNIGHT	Mid Atlantic	956	935	990	0	0
-Bad cards must make.	OVERNIGHT	NY Metro	982	930	993	0	0
-Bad cards must make.	OVERNIGHT	North Midwest	907	990	955	0	0
-Bad cards must make.	REGULAR	Mid Atlantic	928	974	1005	0	0
-Bad cards must make.	REGULAR	NY Metro	942	1009	948	0	0
-Bad cards must make.	REGULAR	North Midwest	921	968	925	0	0
-Bad cards must make.	TWO DAY	Mid Atlantic	954	971	979	0	0
-Bad cards must make.	TWO DAY	NY Metro	947	1013	952	0	0
-Bad cards must make.	TWO DAY	North Midwest	904	930	947	0	0
-Conventional childr	EXPRESS	Mid Atlantic	1214	1296	1243	0	0
-Conventional childr	EXPRESS	NY Metro	1284	1331	1277	0	0
-Conventional childr	EXPRESS	North Midwest	1180	1287	1226	0	0
-Conventional childr	LIBRARY	Mid Atlantic	990	1008	962	0	0
-Conventional childr	LIBRARY	NY Metro	983	976	981	0	0
-Conventional childr	LIBRARY	North Midwest	925	892	953	0	0
-Conventional childr	NEXT DAY	Mid Atlantic	1284	1315	1274	0	0
-Conventional childr	NEXT DAY	NY Metro	1288	1280	1284	0	0
-Conventional childr	NEXT DAY	North Midwest	1249	1278	1308	0	0
-Conventional childr	OVERNIGHT	Mid Atlantic	897	973	926	0	0
-Conventional childr	OVERNIGHT	NY Metro	958	963	897	0	0
-Conventional childr	OVERNIGHT	North Midwest	942	934	937	0	0
-Conventional childr	REGULAR	Mid Atlantic	941	1007	945	0	0
-Conventional childr	REGULAR	NY Metro	949	928	987	0	0
-Conventional childr	REGULAR	North Midwest	920	927	925	0	0
-Conventional childr	TWO DAY	Mid Atlantic	926	979	1047	0	0
-Conventional childr	TWO DAY	NY Metro	925	1007	962	0	0
-Conventional childr	TWO DAY	North Midwest	879	980	971	0	0
-Doors canno	EXPRESS	Mid Atlantic	1240	1245	1267	0	0
-Doors canno	EXPRESS	NY Metro	1234	1270	1349	0	0
-Doors canno	EXPRESS	North Midwest	1185	1238	1197	0	0
-Doors canno	LIBRARY	Mid Atlantic	873	974	948	0	0
-Doors canno	LIBRARY	NY Metro	987	1005	990	0	0
-Doors canno	LIBRARY	North Midwest	947	952	1025	0	0
-Doors canno	NEXT DAY	Mid Atlantic	1264	1276	1185	0	0
-Doors canno	NEXT DAY	NY Metro	1263	1337	1310	0	0
-Doors canno	NEXT DAY	North Midwest	1202	1247	1278	0	0
-Doors canno	OVERNIGHT	Mid Atlantic	912	888	934	0	0
-Doors canno	OVERNIGHT	NY Metro	942	1003	959	0	0
-Doors canno	OVERNIGHT	North Midwest	896	903	911	0	0
-Doors canno	REGULAR	Mid Atlantic	888	953	974	0	0
-Doors canno	REGULAR	NY Metro	971	1028	946	0	0
-Doors canno	REGULAR	North Midwest	937	974	914	0	0
-Doors canno	TWO DAY	Mid Atlantic	974	898	985	0	0
-Doors canno	TWO DAY	NY Metro	982	1017	997	0	0
-Doors canno	TWO DAY	North Midwest	985	937	959	0	0
-Important issues liv	EXPRESS	Mid Atlantic	1322	1329	1293	0	0
-Important issues liv	EXPRESS	NY Metro	1301	1300	1239	0	0
-Important issues liv	EXPRESS	North Midwest	1266	1228	1285	0	0
-Important issues liv	LIBRARY	Mid Atlantic	988	997	925	0	0
-Important issues liv	LIBRARY	NY Metro	947	963	988	0	0
-Important issues liv	LIBRARY	North Midwest	937	972	964	0	0
-Important issues liv	NEXT DAY	Mid Atlantic	1221	1268	1217	0	0
-Important issues liv	NEXT DAY	NY Metro	1281	1311	1310	0	0
-Important issues liv	NEXT DAY	North Midwest	1219	1214	1327	0	0
-Important issues liv	OVERNIGHT	Mid Atlantic	929	1018	991	0	0
-Important issues liv	OVERNIGHT	NY Metro	950	965	931	0	0
-Important issues liv	OVERNIGHT	North Midwest	936	989	932	0	0
-Important issues liv	REGULAR	Mid Atlantic	961	995	949	0	0
-Important issues liv	REGULAR	NY Metro	972	934	1018	0	0
-Important issues liv	REGULAR	North Midwest	905	947	941	0	0
-Important issues liv	TWO DAY	Mid Atlantic	954	982	944	0	0
-Important issues liv	TWO DAY	NY Metro	844	972	1006	0	0
-Important issues liv	TWO DAY	North Midwest	914	969	960	0	0
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q01.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q01.out
deleted file mode 100644
index 70e40ecf88..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q01.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q01 --
-AAAAAAAAAAABBAAA
-AAAAAAAAAAADBAAA
-AAAAAAAAAAADBAAA
-AAAAAAAAAAAKAAAA
-AAAAAAAAAABDAAAA
-AAAAAAAAAABHBAAA
-AAAAAAAAAABLAAAA
-AAAAAAAAAABMAAAA
-AAAAAAAAAACHAAAA
-AAAAAAAAAACMAAAA
-AAAAAAAAAADDAAAA
-AAAAAAAAAADGAAAA
-AAAAAAAAAADGBAAA
-AAAAAAAAAADGBAAA
-AAAAAAAAAADPAAAA
-AAAAAAAAAAEBAAAA
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-AAAAAAAAAAEIAAAA
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-AAAAAAAAAANHBAAA
-AAAAAAAAAANJAAAA
-AAAAAAAAAANMAAAA
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-AAAAAAAAAANNAAAA
-AAAAAAAAAAOBBAAA
-AAAAAAAAAAODBAAA
-AAAAAAAAAAOLAAAA
-AAAAAAAAAAPGBAAA
-AAAAAAAAABAAAAAA
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-AAAAAAAAABFEBAAA
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-AAAAAAAAABGJAAAA
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-AAAAAAAAABLOAAAA
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-AAAAAAAAACBEBAAA
-AAAAAAAAACBNAAAA
-AAAAAAAAACBPAAAA
-AAAAAAAAACCHAAAA
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q02.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q02.out
deleted file mode 100644
index ffb59ea468..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q02.out
+++ /dev/null
@@ -1,2516 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q02 --
-5270	3.47	2.15	1.81	1.68	3.17	3.29	3.13
-5270	3.47	2.15	1.81	1.68	3.17	3.29	3.13
-5270	3.47	2.15	1.81	1.68	3.17	3.29	3.13
-5270	3.47	2.15	1.81	1.68	3.17	3.29	3.13
-5270	3.47	2.15	1.81	1.68	3.17	3.29	3.13
-5270	3.47	2.15	1.81	1.68	3.17	3.29	3.13
-5270	3.47	2.15	1.81	1.68	3.17	3.29	3.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
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-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
-5271	0.84	0.91	0.95	1.24	1.21	1.08	1.13
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q03.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q03.out
deleted file mode 100644
index 6d04b971d6..0000000000
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--- This file is automatically generated. You should know what you did if you want to edit this
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q04.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q04.out
deleted file mode 100644
index b64f513bce..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q04.out
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--- This file is automatically generated. You should know what you did if you want to edit this
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q05.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q05.out
deleted file mode 100644
index 71a8412dad..0000000000
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deleted file mode 100644
index 9cb3eef0de..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q06.out
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q07.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q07.out
deleted file mode 100644
index 96bef16757..0000000000
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-AAAAAAAAADDEAAAA	35.0	78.2566	0.0000	36.6300
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q08.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q08.out
deleted file mode 100644
index f5ff40df13..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q08.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q08 --
-able	-9767751.88
-ation	-10546549.93
-bar	-10133672.06
-ese	-10335181.30
-ought	-10737659.56
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q09.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q09.out
deleted file mode 100644
index 1fe9de0c0b..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q09.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q09 --
-39.6454	115.8981	191.6347	267.1879	341.9869
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q11.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q11.out
deleted file mode 100644
index 6eb99536a2..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q11.out
+++ /dev/null
@@ -1,90 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q11 --
-AAAAAAAAAFGBBAAA	Howard	Major	Y	BOUVET ISLAND	
-AAAAAAAAAMGDAAAA	Kenneth	Harlan	Y	POLAND	
-AAAAAAAAAOPFBAAA	Jerry	Fields	Y	SIERRA LEONE	
-AAAAAAAABLEIBAAA	Paula	Wakefield	Y	SAN MARINO	
-AAAAAAAABNBBAAAA	Irma	Smith	Y	SERBIA	
-AAAAAAAACADPAAAA	Cristobal	Thomas	Y	GRENADA	
-AAAAAAAACFENAAAA	Christopher	Dawson		DENMARK	
-AAAAAAAACIJMAAAA	Elizabeth	Thomas	Y	BHUTAN	
-AAAAAAAACJDIAAAA	James	Kerr	N	PITCAIRN	
-AAAAAAAACNAGBAAA	Virginia	May	N	NORFOLK ISLAND	
-AAAAAAAADBEFBAAA	Bennie	Bowers	N	MALI	
-AAAAAAAADCKOAAAA	Robert	Gonzalez	N	AUSTRIA	
-AAAAAAAADFKABAAA	Latoya	Craft	N	MALTA	
-AAAAAAAADIIOAAAA	David	Carroll	Y	GIBRALTAR	
-AAAAAAAADIJGBAAA	Ruth	Sanders	N	BRUNEI DARUSSALAM	
-AAAAAAAADLHBBAAA	Henry	Bertrand	N	PORTUGAL	
-AAAAAAAAEADJAAAA	Ruth	Carroll	N	CUBA	
-AAAAAAAAEJDLAAAA	Alice	Wright	N	NIGER	
-AAAAAAAAEKFPAAAA	Annika	Chin	N	UNITED KINGDOM	
-AAAAAAAAEKJLAAAA	Aisha	Carlson	Y	CZECH REPUBLIC	
-AAAAAAAAEPOGAAAA	Felisha	Mendes	Y	BELIZE	
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-AAAAAAAAFBAHAAAA	Michael	Williams	N	UKRAINE	
-AAAAAAAAFGIGAAAA	Eduardo	Miller	Y	NEPAL	
-AAAAAAAAFGPGAAAA	Albert	Wadsworth	Y	SPAIN	
-AAAAAAAAFMHIAAAA	Emilio	Darling	Y	VIET NAM	
-AAAAAAAAFOGIAAAA	Michelle	Greene	N	UNITED ARAB EMIRATES	
-AAAAAAAAFOJAAAAA	Don	Castillo	Y	ROMANIA	
-AAAAAAAAGEHIAAAA	Tyler	Miller	N	KIRIBATI	
-AAAAAAAAGHPBBAAA	Nick	Mendez	Y	CANADA	
-AAAAAAAAGNDAAAAA	Terry	Mcdowell	N	TONGA	
-AAAAAAAAHGOABAAA	Sonia	White	N	AMERICAN SAMOA	
-AAAAAAAAHHCABAAA	William	Stewart	Y	PUERTO RICO	
-AAAAAAAAHJLAAAAA	Audrey	Beltran	Y	SOMALIA	
-AAAAAAAAHMJNAAAA	Ryan	Baptiste	Y	DENMARK	
-AAAAAAAAHMOIAAAA	Grace	Henderson	N	LEBANON	
-AAAAAAAAIADEBAAA	Diane	Aldridge	N	NIGERIA	
-AAAAAAAAIBAEBAAA	Sandra	Wilson	N	BOUVET ISLAND	
-AAAAAAAAIBFCBAAA	Ruth	Grantham	N	CAPE VERDE	
-AAAAAAAAIBHHAAAA	Jennifer	Ballard	Y	CANADA	
-AAAAAAAAICHFAAAA	Linda	Mccoy	N	MOLDOVA, REPUBLIC OF	
-AAAAAAAAIDKFAAAA	Michael	Mack	N	CHRISTMAS ISLAND	
-AAAAAAAAIJEMAAAA	Charlie	Cummings	Y	GEORGIA	
-AAAAAAAAIMHBAAAA	Kathy	Knowles	N	ARMENIA	
-AAAAAAAAIMHHBAAA	Lillian	Davidson	Y	CROATIA	
-AAAAAAAAJDBLAAAA	Melvin	Taylor	Y	NEW ZEALAND	
-AAAAAAAAJEKFBAAA	Norma	Burkholder	N	ANGOLA	
-AAAAAAAAJGMMAAAA	Richard	Larson	Y	TOKELAU	
-AAAAAAAAJIALAAAA	Santos	Gutierrez	N	PALAU	
-AAAAAAAAJKBNAAAA	Julie	Kern	N	BOTSWANA	
-AAAAAAAAJMHLAAAA	Wanda	Ryan	Y	MAURITANIA	
-AAAAAAAAJONHBAAA	Warren	Orozco	N	GUINEA-BISSAU	
-AAAAAAAAJPINAAAA	Rose	Waite	Y	BRUNEI DARUSSALAM	
-AAAAAAAAKAECAAAA	Milton	Mackey	N	RUSSIAN FEDERATION	
-AAAAAAAAKAPPAAAA	Karen	Parker	Y	TUNISIA	
-AAAAAAAAKJBKAAAA	Georgia	Scott	N	CHRISTMAS ISLAND	
-AAAAAAAAKJBLAAAA	Kerry	Davis	Y	AFGHANISTAN	
-AAAAAAAAKKGEAAAA	Katie	Dunbar	N	NETHERLANDS	
-AAAAAAAAKLHHBAAA	Manuel	Castaneda	N	SAMOA	
-AAAAAAAAKNAKAAAA	Gladys	Banks	N	WESTERN SAHARA	
-AAAAAAAALFKKAAAA	Ignacio	Miller	Y	UNITED KINGDOM	
-AAAAAAAALHMCAAAA	Brooke	Nelson	Y	SPAIN	
-AAAAAAAALIOPAAAA	Derek	Allen	Y	NICARAGUA	
-AAAAAAAALJNCBAAA	George	Gamez	Y	AZERBAIJAN	
-AAAAAAAAMDCAAAAA	Louann	Hamel	Y	TIMOR-LESTE	
-AAAAAAAAMFFLAAAA	Margret	Gray	Y	NEW ZEALAND	
-AAAAAAAAMMOBBAAA	Margaret	Smith	N	JAPAN	
-AAAAAAAANFBDBAAA	Vernice	Fernandez	Y	SWEDEN	
-AAAAAAAANGDBBAAA	Carlos	Jewell	N	ISLE OF MAN	
-AAAAAAAANIPLAAAA	Eric	Lawrence	Y	HONDURAS	
-AAAAAAAANJAGAAAA	Allen	Hood	Y	TOGO	
-AAAAAAAANJHCBAAA	Christopher	Schreiber	N	UZBEKISTAN	
-AAAAAAAANJOLAAAA	Debra	Underwood	Y	BOTSWANA	
-AAAAAAAAOBADBAAA	Elizabeth	Burnham	N	HONDURAS	
-AAAAAAAAOCAJAAAA	Jenna	Staton	N	GIBRALTAR	
-AAAAAAAAOCLBBAAA					
-AAAAAAAAODMMAAAA	Gayla	Cline	N	ETHIOPIA	
-AAAAAAAAOFLCAAAA	James	Taylor	N	BANGLADESH	
-AAAAAAAAPDFBAAAA	Terrance	Banks	Y	SLOVENIA	
-AAAAAAAAPEHEBAAA	Edith	Molina	Y	GREENLAND	
-AAAAAAAAPFCLAAAA	Felicia	Neville	N	NEPAL	
-AAAAAAAAPICEAAAA	Jennifer	Cortez	Y	NEW CALEDONIA	
-AAAAAAAAPJENAAAA	Ashley	Norton	Y	IRAQ	
-AAAAAAAAPKBCBAAA	Andrea	White	N	SAMOA	
-AAAAAAAAPKIKAAAA	Wendy	Horvath	Y	MADAGASCAR	
-AAAAAAAAPMMBBAAA	Paul	Jordan	N	JORDAN	
-AAAAAAAAPPIBBAAA	Candice	Lee	Y	SWEDEN	
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q12.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q12.out
deleted file mode 100644
index 55bb12fd72..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q12.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q12 --
-AAAAAAAAAAKAAAAA	Small, political activities help great, bad policies. Therefore square features provide on a machines. Rules make over me	Books	arts	2.42	2742.60	3.71
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-AAAAAAAACKEAAAAA	Legs appear eventually soci	Books	arts	35.27	4010.65	5.43
-AAAAAAAACMDCAAAA	Black, powerful others go now years. Diverse orders might not mean away medium minutes; tight authorities ought to put however for the things	Books	arts	2.75	1156.40	1.56
-AAAAAAAACNEDAAAA	Particularly labour stores get farmers. Hence true records see rel	Books	arts	6.89	6606.82	8.95
-AAAAAAAADCCDAAAA	Glad users understand very almost original jobs. Towns can understand. Supreme, following days work by a parents; german, crucial weapons work sure; fair pictur	Books	arts	7.18	10391.81	14.08
-AAAAAAAADJFCAAAA	Significant, preliminary boys can remain lightly more pale discussion	Books	arts	2.74	8279.54	11.22
-AAAAAAAADPCCAAAA	Especially true items might supply particularly. Black, automatic words might develop post-war problems. Fresh, visible workers could not appe	Books	arts	4.23	351.78	0.47
-AAAAAAAAEDKDAAAA	Times live now to a sales. British years bring all financ	Books	arts	4.24	11699.92	15.85
-AAAAAAAAEGAEAAAA	Far injuries pay so various arms. Courses could go anywhere universal possibilities; talks stand since mean, colonial scho	Books	arts	9.57	51.84	0.07
-AAAAAAAAFCFBAAAA	Golden estates meet as yet hands. About solid proteins used to tell. Once causal boots imagine frequently new elections; flexible, other ways find re	Books	arts	9.76	59.01	0.07
-AAAAAAAAGHOBAAAA	Fully existing proceedings could not tak	Books	arts	8.66	625.65	0.84
-AAAAAAAAIEPCAAAA	New, popular years should think. Shareholders speak also friends; special members could not identify social eyes; indoors full 	Books	arts	0.91	1390.83	1.88
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-AAAAAAAAIIPDAAAA	Af	Books	arts	6.04	109.23	0.14
-AAAAAAAAIJGAAAAA	Then western animals could teach somewhere. Today waiting servants confuse	Books	arts	4.10	868.50	1.17
-AAAAAAAAKKIAAAAA	Naked, popular schemes campaign then offices. Underlying shares may join	Books	arts	79.28	1841.04	2.49
-AAAAAAAAKNBCAAAA	Early, powerful towns add mainly english savings. Years assist then new, public colleagues. Things might encounter then right new features	Books	arts	6.89	365.60	0.49
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-AAAAAAAACEPBAAAA	Long, married artists would see negative feelings. Emot	Books	business	1.73	2686.56	2.16
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-AAAAAAAADHNCAAAA	Originally major industries matter mediterranean bodies. Cases should not 	Books	business	45.06	2186.10	1.75
-AAAAAAAAEILDAAAA	Bad, able systems shall fall else. Nuclear, economic ways put in an paths. Serious, labour women must not muster however. Wide new readers ought to help 	Books	business	1.36	293.23	0.23
-AAAAAAAAFGJCAAAA	Secondary, red structures may seek eyes. High true titles should make now junior fat thoughts. Partly excellent authorities receive direct, net parties. Parents look most also other issues. Empty, con	Books	business	8.59	3319.89	2.67
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-AAAAAAAAIPADAAAA	Orders go into the documents. Social, existing specialists will seem twice associated wishes. Finally nation	Books	business	5.15	1755.92	1.41
-AAAAAAAAKAJDAAAA	Short neighbours implement innocently tiny titles. Briefly simple years should not tell potentially successful, whole years. Orange workers carry; home hot feet l	Books	business	4.43	17638.20	14.18
-AAAAAAAAKMAAAAAA	Plans consult interested, light boys. Selective, other problems create scientific, young parties. Sufficient speakers might not kiss too social, basic interests. Dual, other times s	Books	business	0.19	3867.73	3.11
-AAAAAAAALDFAAAAA	Hands may not allow only in a lands; linear, other pubs say; social, precise women identify for a patients. Preferences develop alone now rich motives. Ever good tas	Books	business	3.68	470.96	0.37
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q13.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q13.out
deleted file mode 100644
index 9db3f58c52..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q13.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q13 --
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_1.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_1.out
deleted file mode 100644
index 522932b432..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_1.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q14_1 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_2.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_2.out
deleted file mode 100644
index e3806841fa..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_2.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q14_2 --
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q15.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q15.out
deleted file mode 100644
index f2cbd83051..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q15.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q15 --
-	4723.12
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q16.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q16.out
deleted file mode 100644
index 1365ddc0d1..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q16.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q16 --
-236	1062963.89	-214910.61
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q17.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q17.out
deleted file mode 100644
index eb02fc8845..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q17.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q17 --
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q18.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q18.out
deleted file mode 100644
index cf6d8b8c4d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q18.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q18 --
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-AAAAAAAAAADCAAAA	\N	\N	\N	76.0000	106.9500	0.0000	82.3500	1048.0400	1925.0000	5.0000
-AAAAAAAAAAJBAAAA	\N	\N	\N	97.0000	62.6400	621.5400	6.8900	-3570.3400	1935.0000	3.0000
-AAAAAAAAAAKDAAAA	\N	\N	\N	35.0000	46.2550	0.0000	28.3000	57.9450	1948.5000	5.0000
-AAAAAAAAAAMBAAAA	\N	\N	\N	88.0000	191.3300	0.0000	141.5800	6673.0400	1962.0000	0.0000
-AAAAAAAAAAODAAAA	\N	\N	\N	96.0000	38.2400	0.0000	27.5300	1131.8400	1968.0000	3.0000
-AAAAAAAAABADAAAA	\N	\N	\N	61.0000	84.4700	0.0000	18.5800	-3821.6500	1968.0000	3.0000
-AAAAAAAAABCBAAAA	\N	\N	\N	61.0000	189.3300	4323.5900	90.8700	-4441.9300	1937.0000	0.0000
-AAAAAAAAABDAAAAA	\N	\N	\N	72.0000	175.6400	1365.3300	21.0700	-6171.3300	1940.0000	2.0000
-AAAAAAAAABEAAAAA	\N	\N	\N	19.0000	93.9700	208.8400	36.6400	-510.1800	1959.0000	6.0000
-AAAAAAAAABFEAAAA	\N	\N	\N	98.0000	28.6500	0.0000	6.3000	-614.4600	1935.0000	6.0000
-AAAAAAAAABJBAAAA	\N	\N	\N	100.0000	59.4800	0.0000	2.9700	-5014.0000	1980.0000	5.0000
-AAAAAAAAABMDAAAA	\N	\N	\N	82.0000	73.8900	0.0000	0.0000	-2277.9600	1943.0000	0.0000
-AAAAAAAAABPBAAAA	\N	\N	\N	42.0000	82.8600	0.0000	4.1400	-1948.3800	1940.0000	2.0000
-AAAAAAAAACAAAAAA	\N	\N	\N	49.0000	79.1200	0.0000	52.2100	711.9700	1961.0000	5.0000
-AAAAAAAAACBCAAAA	\N	\N	\N	1.0000	77.5300	0.0000	49.6100	-1.4000	1982.0000	0.0000
-AAAAAAAAACCAAAAA	\N	\N	\N	35.0000	147.9800	2221.7600	97.6600	-653.4100	1960.0000	3.0000
-AAAAAAAAACLAAAAA	\N	\N	\N	22.0000	215.2500	0.0000	157.1300	1709.4000	1968.0000	3.0000
-AAAAAAAAACLDAAAA	\N	\N	\N	27.0000	201.7800	0.0000	143.2600	1588.4100	1936.0000	1.0000
-AAAAAAAAACMDAAAA	\N	\N	\N	100.0000	63.4600	395.1600	4.4400	-4328.1600	1986.0000	2.0000
-AAAAAAAAADBAAAAA	\N	\N	\N	5.0000	15.6800	0.0000	5.9500	-1.2500	1949.0000	6.0000
-AAAAAAAAADBDAAAA	\N	\N	\N	65.5000	101.2100	26.0450	60.5550	436.2200	1967.5000	3.0000
-AAAAAAAAADGCAAAA	\N	\N	\N	19.0000	11.4700	0.0000	2.0600	-127.3000	1928.0000	5.0000
-AAAAAAAAADHAAAAA	\N	\N	\N	17.0000	52.6500	0.0000	11.0500	-160.4800	1953.0000	6.0000
-AAAAAAAAADICAAAA	\N	\N	\N	86.0000	35.0700	0.0000	12.9700	-936.5400	1980.0000	5.0000
-AAAAAAAAADODAAAA	\N	\N	\N	83.0000	38.5000	0.0000	5.7700	-2098.2400	1965.0000	1.0000
-AAAAAAAAADPCAAAA	\N	\N	\N	59.0000	46.1100	0.0000	37.3400	352.2300	1979.0000	4.0000
-AAAAAAAAAEABAAAA	\N	\N	\N	32.0000	29.8900	0.0000	28.3900	391.3600	1932.0000	5.0000
-AAAAAAAAAEBDAAAA	\N	\N	\N	71.0000	177.3000	0.0000	113.4700	3138.9100	1939.0000	1.0000
-AAAAAAAAAEDEAAAA	\N	\N	\N	37.0000	48.6700	0.0000	9.7300	-276.3900	1940.0000	2.0000
-AAAAAAAAAEECAAAA	\N	\N	\N	68.0000	196.2700	0.0000	113.8300	2202.5200	1956.0000	0.0000
-AAAAAAAAAEFBAAAA	\N	\N	\N	49.0000	184.5700	0.0000	71.9800	-1017.7300	1984.0000	2.0000
-AAAAAAAAAEFCAAAA	\N	\N	\N	32.0000	31.9700	0.0000	18.5400	65.9200	1932.0000	5.0000
-AAAAAAAAAEGDAAAA	\N	\N	\N	37.0000	169.3500	3204.9400	93.1400	-2507.1200	1985.0000	1.0000
-AAAAAAAAAEJBAAAA	\N	\N	\N	76.0000	85.6600	0.0000	17.1300	-4670.9600	1985.0000	2.0000
-AAAAAAAAAENDAAAA	\N	\N	\N	10.0000	127.4500	0.0000	59.9000	151.8000	1971.0000	2.0000
-AAAAAAAAAFIBAAAA	\N	\N	\N	69.0000	111.0600	0.0000	101.0600	4048.2300	1965.0000	1.0000
-AAAAAAAAAFLBAAAA	\N	\N	\N	33.0000	148.0700	0.0000	29.6100	-1349.7000	1936.0000	4.0000
-AAAAAAAAAGBBAAAA	\N	\N	\N	17.0000	91.1000	0.0000	22.7700	-361.0800	1936.0000	1.0000
-AAAAAAAAAGCDAAAA	\N	\N	\N	15.0000	33.5600	0.0000	29.5300	191.2500	1963.0000	5.0000
-AAAAAAAAAGEEAAAA	\N	\N	\N	99.0000	264.4500	0.0000	37.0200	-6067.7100	1960.0000	6.0000
-AAAAAAAAAGGCAAAA	\N	\N	\N	37.0000	27.3800	0.0000	4.6500	-485.8100	1979.0000	4.0000
-AAAAAAAAAGHBAAAA	\N	\N	\N	97.0000	89.3700	0.0000	40.2100	689.6700	1947.0000	2.0000
-AAAAAAAAAGIAAAAA	\N	\N	\N	30.0000	65.7100	0.0000	11.8200	-711.0000	1936.0000	4.0000
-AAAAAAAAAHADAAAA	\N	\N	\N	17.0000	209.4400	0.0000	157.0800	1290.3000	1943.0000	6.0000
-AAAAAAAAAHBDAAAA	\N	\N	\N	72.0000	153.2400	0.0000	90.4100	1353.6000	1941.0000	4.0000
-AAAAAAAAAHDAAAAA	\N	\N	\N	100.0000	149.1800	0.0000	135.7500	8413.0000	1977.0000	2.0000
-AAAAAAAAAHDEAAAA	\N	\N	\N	67.0000	37.4600	0.0000	31.8400	1246.2000	1956.0000	0.0000
-AAAAAAAAAHICAAAA	\N	\N	\N	5.0000	170.6400	0.0000	95.5500	80.9000	1933.0000	6.0000
-AAAAAAAAAHLBAAAA	\N	\N	\N	60.0000	100.1400	1970.7000	80.1100	-2171.1000	1965.0000	6.0000
-AAAAAAAAAIBBAAAA	\N	\N	\N	77.0000	2.0600	0.0000	1.5800	37.7300	1935.0000	6.0000
-AAAAAAAAAICBAAAA	\N	\N	\N	59.0000	156.8600	0.0000	37.6400	-1144.6000	1924.0000	2.0000
-AAAAAAAAAIDAAAAA	\N	\N	\N	63.0000	18.7800	0.0000	15.0200	-214.2000	1979.0000	5.0000
-AAAAAAAAAIEBAAAA	\N	\N	\N	23.0000	29.9700	0.0000	23.3700	-37.0300	1960.0000	0.0000
-AAAAAAAAAIECAAAA	\N	\N	\N	5.0000	1.3500	0.0000	1.3200	0.7000	1973.0000	4.0000
-AAAAAAAAAIFDAAAA	\N	\N	\N	38.0000	158.6800	1317.2800	36.4900	-3243.8800	1985.0000	1.0000
-AAAAAAAAAIIBAAAA	\N	\N	\N	45.0000	90.7500	0.0000	15.4200	-2244.1500	1967.0000	0.0000
-AAAAAAAAAIJCAAAA	\N	\N	\N	5.0000	90.0700	0.0000	25.2100	-77.7500	1990.0000	4.0000
-AAAAAAAAAJABAAAA	\N	\N	\N	36.0000	198.5700	0.0000	103.2500	775.0800	1942.0000	3.0000
-AAAAAAAAAJAEAAAA	\N	\N	\N	56.0000	84.8500	0.0000	6.7800	-2990.4000	1975.0000	4.0000
-AAAAAAAAAJCCAAAA	\N	\N	\N	20.0000	109.9900	0.0000	38.4900	-859.8000	1952.0000	4.0000
-AAAAAAAAAJGBAAAA	\N	\N	\N	23.0000	249.2900	0.0000	132.1200	1068.3500	1968.0000	2.0000
-AAAAAAAAAJJBAAAA	\N	\N	\N	49.0000	42.4200	0.0000	1.6900	-1275.9600	1964.0000	0.0000
-AAAAAAAAAJLDAAAA	\N	\N	\N	83.0000	76.1700	0.0000	6.0900	-5754.3900	1948.0000	6.0000
-AAAAAAAAAKAAAAAA	\N	\N	\N	51.0000	121.1700	0.0000	78.7600	-736.9500	1959.0000	6.0000
-AAAAAAAAAKECAAAA	\N	\N	\N	87.0000	101.3600	0.0000	67.9100	1825.2600	1986.0000	4.0000
-AAAAAAAAAKJBAAAA	\N	\N	\N	2.0000	235.6900	0.0000	77.7700	-9.8600	1962.0000	0.0000
-AAAAAAAAAKJDAAAA	\N	\N	\N	96.0000	254.8300	0.0000	188.5700	9488.6400	1946.0000	2.0000
-AAAAAAAAAKKCAAAA	\N	\N	\N	85.0000	253.5600	0.0000	202.8400	9783.5000	1967.0000	0.0000
-AAAAAAAAAKLCAAAA	\N	\N	\N	75.0000	5.0300	0.0000	4.9700	198.7500	1973.0000	0.0000
-AAAAAAAAALBCAAAA	\N	\N	\N	3.0000	43.1800	0.0000	5.1800	-39.1200	1963.0000	5.0000
-AAAAAAAAALCBAAAA	\N	\N	\N	61.0000	80.1600	0.0000	26.4500	-1646.3900	1975.0000	4.0000
-AAAAAAAAALCDAAAA	\N	\N	\N	4.0000	129.6100	0.0000	110.1600	149.3600	1991.0000	0.0000
-AAAAAAAAALIAAAAA	\N	\N	\N	55.0000	153.1800	0.0000	137.8600	2740.1000	1928.0000	3.0000
-AAAAAAAAALIBAAAA	\N	\N	\N	53.0000	170.4200	3689.4700	161.8900	-45.1900	1985.0000	2.0000
-AAAAAAAAALMAAAAA	\N	\N	\N	89.0000	59.2600	0.0000	18.3700	-865.0800	1959.0000	6.0000
-AAAAAAAAALMCAAAA	\N	\N	\N	96.0000	226.9600	0.0000	11.3400	-6693.1200	1934.0000	4.0000
-AAAAAAAAALMDAAAA	\N	\N	\N	26.0000	128.6400	0.0000	60.4600	-125.8400	1984.0000	2.0000
-AAAAAAAAALNCAAAA	\N	\N	\N	77.0000	27.8900	0.0000	9.7600	-224.8400	1946.0000	5.0000
-AAAAAAAAALOBAAAA	\N	\N	\N	81.5000	70.7250	0.0000	53.5200	118.4100	1966.0000	1.5000
-AAAAAAAAAMBBAAAA	\N	\N	\N	83.0000	136.5700	0.0000	45.0600	-4077.7900	1957.0000	2.0000
-AAAAAAAAAMEBAAAA	\N	\N	\N	67.0000	9.5000	0.0000	3.2300	-100.5000	1945.0000	1.0000
-AAAAAAAAAMFAAAAA	\N	\N	\N	56.0000	215.1600	0.0000	36.5700	-3404.2400	1986.0000	2.0000
-AAAAAAAAAMNDAAAA	\N	\N	\N	70.0000	101.2700	4284.8800	65.8200	-4341.5800	1932.0000	5.0000
-AAAAAAAAANBDAAAA	\N	\N	\N	75.0000	114.9600	1282.9300	27.5900	-6711.4300	1925.0000	5.0000
-AAAAAAAAANDDAAAA	\N	\N	\N	50.0000	222.8800	0.0000	2.2200	-4494.0000	1948.0000	1.0000
-AAAAAAAAANECAAAA	\N	\N	\N	93.0000	53.4200	0.0000	47.5400	-54.8700	1979.0000	5.0000
-AAAAAAAAANFEAAAA	\N	\N	\N	25.0000	151.7750	116.2800	65.9550	-1264.8300	1930.5000	2.5000
-AAAAAAAAANGDAAAA	\N	\N	\N	60.0000	79.6000	0.0000	44.5700	-1028.4000	1941.0000	1.0000
-AAAAAAAAANIBAAAA	\N	\N	\N	72.0000	47.9200	0.0000	39.2900	1560.2400	1933.0000	3.0000
-AAAAAAAAAOCAAAAA	\N	\N	\N	30.0000	64.9800	0.0000	44.1800	-415.2000	1964.0000	0.0000
-AAAAAAAAAODAAAAA	\N	\N	\N	76.0000	66.9800	0.0000	5.3500	-1437.9200	1959.0000	3.0000
-AAAAAAAAAOFDAAAA	\N	\N	\N	87.0000	28.7100	0.0000	27.8400	1472.0400	1968.0000	6.0000
-AAAAAAAAAOMCAAAA	\N	\N	\N	8.0000	112.6400	0.0000	36.0400	-509.2000	1973.0000	4.0000
-AAAAAAAAAPBEAAAA	\N	\N	\N	22.0000	143.8900	664.7500	50.3600	-1397.3500	1925.0000	0.0000
-AAAAAAAAAPEDAAAA	\N	\N	\N	90.0000	72.9400	0.0000	17.5000	-3554.1000	1928.0000	3.0000
-AAAAAAAAAPFAAAAA	\N	\N	\N	52.0000	117.6700	0.0000	77.6600	1354.6000	1977.0000	2.0000
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q19.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q19.out
deleted file mode 100644
index b510600ea6..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q19.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q19 --
-3001001	amalgexporti #1	358	eingantipri	41146.94
-10015008	scholaramalgamalg #8	839	n stprieing	39246.51
-5002002	importoscholar #2	503	pribaranti	38877.55
-2002001	importoimporto #1	229	n stableable	38872.13
-6009001	maxicorp #1	609	n stbarcally	37679.02
-5002001	importoscholar #1	442	ableeseese	36889.22
-10012003	importoamalgamalg #3	68	eingcally	36856.35
-5003002	exportischolar #2	50	baranti	35402.74
-4002002	importoedu pack #2	615	antioughtcally	34673.98
-3002002	importoexporti #2	581	oughteinganti	34669.00
-5003001	exportischolar #1	224	eseableable	34541.38
-5004002	edu packscholar #2	168	eingcallyought	33004.86
-4001001	amalgedu pack #1	379	n stationpri	32777.45
-7009009	maxibrand #9	10	barought	32448.47
-8001009	amalgnameless #9	21	oughtable	32020.26
-1003001	exportiamalg #1	162	ablecallyought	31531.85
-10011013	amalgamalgamalg #13	551	oughtantianti	30259.44
-5001002	amalgscholar #2	124	eseableought	30243.37
-9004003	edu packmaxi #3	191	oughtn stought	29977.55
-3002002	importoexporti #2	597	ationn stanti	29964.46
-7001002	amalgbrand #2	122	ableableought	29576.48
-10013006	exportiamalgamalg #6	461	oughtcallyese	29475.71
-7013001	exportinameless #1	18	eingought	29409.51
-7008009	namelessbrand #9	540	bareseanti	28888.95
-5004001	edu packscholar #1	361	oughtcallypri	28656.02
-5003001	exportischolar #1	457	ationantiese	28560.52
-7014001	edu packnameless #1	23	priable	28408.56
-5001001	amalgscholar #1	192	ablen stought	28136.83
-8007009	brandnameless #9	34	esepri	28006.46
-6010003	univbrand #3	165	anticallyought	27826.40
-4002001	importoedu pack #1	96	callyn st	27785.50
-4003001	exportiedu pack #1	30	barpri	27681.74
-1002002	importoamalg #2	504	esebaranti	27540.55
-9009011	maximaxi #11	117	ationoughtought	26149.58
-10012006	importoamalgamalg #6	162	ablecallyought	25077.80
-5002001	importoscholar #1	202	ablebarable	24662.36
-5004002	edu packscholar #2	427	ationableese	24502.14
-8009007	maxinameless #7	146	callyeseought	24020.70
-7002005	importobrand #5	822	ableableeing	23637.35
-4001001	amalgedu pack #1	236	callypriable	23425.22
-3002001	importoexporti #1	889	n steingeing	23327.10
-4001001	amalgedu pack #1	106	callybarought	23272.95
-9004011	edu packmaxi #11	241	oughteseable	23233.46
-6011005	amalgbrand #5	373	priationpri	22935.30
-5004001	edu packscholar #1	191	oughtn stought	22767.49
-10003001	exportiunivamalg #1	252	ableantiable	22605.56
-2002001	importoimporto #1	265	anticallyable	22316.14
-2004001	edu packimporto #1	584	eseeinganti	22312.87
-4004002	edu packedu pack #2	293	prin stable	22272.04
-1003002	exportiamalg #2	400	barbarese	22200.21
-9011008	amalgunivamalg #8	93	prin st	22103.70
-8011002	amalgmaxi #2	293	prin stable	21784.46
-8006008	corpnameless #8	605	antibarcally	21599.44
-9016003	corpunivamalg #3	51	oughtanti	21135.21
-5003002	exportischolar #2	162	ablecallyought	21110.51
-3002001	importoexporti #1	176	callyationought	20741.06
-10011002	amalgamalgamalg #2	112	ableoughtought	20652.72
-2001001	amalgimporto #1	219	n stoughtable	20647.28
-2002001	importoimporto #1	100	barbarought	20543.92
-4004001	edu packedu pack #1	718	eingoughtation	20488.80
-8014009	edu packmaxi #9	214	eseoughtable	20379.43
-8012001	importomaxi #1	277	ationationable	20343.98
-10010013	univamalgamalg #13	656	callyantically	20274.67
-4003001	exportiedu pack #1	640	baresecally	20218.12
-1001001	amalgamalg #1	257	ationantiable	19957.37
-2002001	importoimporto #1	525	antiableanti	19888.38
-4002001	importoedu pack #1	101	oughtbarought	18892.36
-9012003	importounivamalg #3	818	eingoughteing	18832.74
-2004002	edu packimporto #2	912	ableoughtn st	18673.17
-10001014	amalgunivamalg #14	207	ationbarable	18623.57
-4004001	edu packedu pack #1	257	ationantiable	18605.21
-1004001	edu packamalg #1	675	antiationcally	18349.99
-1002002	importoamalg #2	50	baranti	18142.46
-4003002	exportiedu pack #2	117	ationoughtought	18063.44
-1004001	edu packamalg #1	380	bareingpri	17896.97
-1001001	amalgamalg #1	346	callyesepri	17660.98
-4003002	exportiedu pack #2	28	eingable	17496.00
-6005006	scholarcorp #6	270	barationable	17373.47
-8012007	importomaxi #7	320	barablepri	17247.22
-1004001	edu packamalg #1	594	esen stanti	17217.04
-10001009	amalgunivamalg #9	414	eseoughtese	17196.10
-1003002	exportiamalg #2	483	prieingese	17180.13
-10010005	univamalgamalg #5	684	eseeingcally	17146.97
-6004005	edu packcorp #5	224	eseableable	17081.31
-2003001	exportiimporto #1	288	eingeingable	17031.57
-2002001	importoimporto #1	134	esepriought	16596.84
-8014007	edu packmaxi #7	350	barantipri	16580.66
-6007007	brandcorp #7	47	ationese	16413.40
-1002001	importoamalg #1	184	eseeingought	15985.73
-1002002	importoamalg #2	489	n steingese	15707.42
-6013003	exportibrand #3	16	callyought	15594.16
-9005009	scholarmaxi #9	255	antiantiable	15448.62
-10008005	namelessunivamalg #5	813	prioughteing	15433.53
-10004013	edu packunivamalg #13	764	esecallyation	15242.69
-10006012	corpunivamalg #12	166	callycallyought	15153.42
-1004001	edu packamalg #1	222	ableableable	15030.20
-8003003	exportinameless #3	85	antieing	14918.95
-5004001	edu packscholar #1	595	antin stanti	14910.27
-4003001	exportiedu pack #1	239	n stpriable	14778.52
-6006001	corpcorp #1	258	eingantiable	14579.72
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q20.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q20.out
deleted file mode 100644
index dcac1651f0..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q20.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q20 --
-AAAAAAAAOJGAAAAA		Books		\N	2838.09	24.10
-AAAAAAAAAAKAAAAA	Small, political activities help great, bad policies. Therefore square features provide on a machines. Rules make over me	Books	arts	2.42	6478.75	3.22
-AAAAAAAAACKBAAAA	Clinical, inc initiatives make specially according to a activities.	Books	arts	6.92	1806.72	0.90
-AAAAAAAAAIJCAAAA	Simply small grounds use exactly effects. Services could kill especially aware, large observers. Civil, relevant years ensure regulations; clear drawings realize actors. Products employ a	Books	arts	1.76	14302.11	7.12
-AAAAAAAAAJIAAAAA	Joint, superior police would use through an restrictions. Buyers ought to contract generally in a efforts. Days cut also sure, frequent s	Books	arts	0.43	1094.80	0.54
-AAAAAAAABFHDAAAA	Little days answer in a emotions; players touch.	Books	arts	2.58	6331.08	3.15
-AAAAAAAABHDCAAAA	Minor heads close common children; recently strong firms provide. Useful, young men ought to create changes. Popular, common regulations might decide. Points fit. Obvious, glad officials 	Books	arts	3.88	2596.68	1.29
-AAAAAAAACBACAAAA	Remaining, main passengers go far sure men. 	Books	arts	4.78	700.70	0.34
-AAAAAAAACKDBAAAA	Positions can win increasingly entire units. Unions used to exclude fairly afraid fans. National fields appear also ways. Great lips print new teachers. Constant, primary deaths expect a little 	Books	arts	3.82	2828.38	1.40
-AAAAAAAACKEAAAAA	Legs appear eventually soci	Books	arts	35.27	438.70	0.21
-AAAAAAAACMDCAAAA	Black, powerful others go now years. Diverse orders might not mean away medium minutes; tight authorities ought to put however for the things	Books	arts	2.75	6743.51	3.36
-AAAAAAAACNEDAAAA	Particularly labour stores get farmers. Hence true records see rel	Books	arts	6.89	9386.80	4.67
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-AAAAAAAADPCCAAAA	Especially true items might supply particularly. Black, automatic words might develop post-war problems. Fresh, visible workers could not appe	Books	arts	4.23	4567.89	2.27
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-AAAAAAAAEGAEAAAA	Far injuries pay so various arms. Courses could go anywhere universal possibilities; talks stand since mean, colonial scho	Books	arts	9.57	17491.20	8.71
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-AAAAAAAAEPKAAAAA	Here political studies give once at the qu	Books	arts	1.78	2562.67	1.27
-AAAAAAAAFBMBAAAA	Years light glasses. Contemporary members might detect even drawings. Private instructions ought to expect well main streets. Children will say well; usually young members ought to ensure enough. 	Books	arts	4.78	1718.83	0.85
-AAAAAAAAFCKCAAAA	Brilliant, acceptable resources might not pick as. Positive, married parties support only strongly impossible needs. Photogra	Books	arts	2.44	2958.33	1.47
-AAAAAAAAGAKAAAAA	Especially early girls glance however specific, relevant steps. Financial worlds telephone most dark gains. Warm, outdoor devices defend besides. Unions must not say narrow powers; individual ti	Books	arts	8.96	2310.78	1.15
-AAAAAAAAGFHBAAAA	Contemporary occasions provide she	Books	arts	1.75	11988.75	5.97
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-AAAAAAAAGOKBAAAA	Othe	Books	arts	60.94	2242.14	1.11
-AAAAAAAAHPNCAAAA	Correct, certain humans cut	Books	arts	37.98	6152.65	3.06
-AAAAAAAAIAOAAAAA	Professional circumstances could live else others. Symptoms can see very leaves. Just personal institutions used to go. Capable workers used to play then able police.	Books	arts	2.40	2219.11	1.10
-AAAAAAAAIEPCAAAA	New, popular years should think. Shareholders speak also friends; special members could not identify social eyes; indoors full 	Books	arts	0.91	5462.06	2.72
-AAAAAAAAIHKBAAAA	Very historic arms may happen even able exis	Books	arts	9.19	8280.09	4.12
-AAAAAAAAIIPDAAAA	Af	Books	arts	6.04	4695.48	2.34
-AAAAAAAAIJGAAAAA	Then western animals could teach somewhere. Today waiting servants confuse	Books	arts	4.10	1589.42	0.79
-AAAAAAAAJJDBAAAA	Problems compete with a sets. Interesting, automatic pounds tell complete hills. 	Books	arts	1.20	18501.43	9.22
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-AAAAAAAAKICDAAAA	Wet, concerned representatives get up to a owners. Necessary, like	Books	arts	1.89	10823.82	5.39
-AAAAAAAAMFFAAAAA	Communities used to relocate clearly strange, new walls; european, rich championships make current depths. Sure studies may reflect only instinctively old forces. Foreign, diverse	Books	arts	8.22	3557.07	1.77
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-AAAAAAAAOKPBAAAA	Just good settings must not make; payments assure to a bishops. Principal, sorry amounts would safeguard very so other leaders; tory, substantial stairs m	Books	arts	2.60	5632.64	2.80
-AAAAAAAAOPKCAAAA	Less imp	Books	arts	9.12	1511.60	0.75
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-AAAAAAAAABMBAAAA	Situations retain; units might sit operations; girls shall make. Ca	Books	business	3.16	905.62	0.57
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-AAAAAAAABIPBAAAA	Ultimate, other objects might not install good 	Books	business	2.57	2399.32	1.52
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-AAAAAAAACDIBAAAA	Small results would go colours; sexual agencies ought to assure moreover unique premises; then complex provisions use often normal windows. Better educational girls should not believe however struct	Books	business	9.78	566.04	0.36
-AAAAAAAACEACAAAA	Other, direct letters ought to make from a ways. British, large men could not work a	Books	business	0.48	9562.96	6.09
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-AAAAAAAADNDDAAAA	Clear, harsh police used to include large, appropriate plans. Prices could produce more. There white weapons expect directly free conclusions. Responsibl	Books	business	4.57	3220.52	2.05
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-AAAAAAAAFGJCAAAA	Secondary, red structures may seek eyes. High true titles should make now junior fat thoughts. Partly excellent authorities receive direct, net parties. Parents look most also other issues. Empty, con	Books	business	8.59	3655.68	2.32
-AAAAAAAAFLMDAAAA	Significantly relevant colleges extract knowingly broad investors. Entire members stay. Mediterranean legs would cut on the knees. Forthcoming, particular students u	Books	business	4.81	1809.71	1.15
-AAAAAAAAGFDCAAAA	Particularly medieval blocks would not find slightly with a carers. Years respond about at a sec	Books	business	6.00	318.24	0.20
-AAAAAAAAGONBAAAA	Ever top offers might struggle far, automatic men. Long-term, long goods dare however; new, other gr	Books	business	2.30	1639.26	1.04
-AAAAAAAAIBKDAAAA	Hundreds drop nearly unacceptable accidents. Then strong methods tell large unions. Short companies should help so. Moves shall not set later chief problems. R	Books	business	0.78	1490.85	0.94
-AAAAAAAAIINDAAAA	Frames can park highly parents. White ma	Books	business	6.97	4313.52	2.74
-AAAAAAAAIJECAAAA	Difficult, royal units put particularly significant, other plans. Essential, contemporary journals will need players. Alternatively parental	Books	business	4.34	2268.00	1.44
-AAAAAAAAIJJCAAAA	Euro	Books	business	3.01	4889.34	3.11
-AAAAAAAAIKEAAAAA	All 	Books	business	9.44	182.52	0.11
-AAAAAAAAIPADAAAA	Orders go into the documents. Social, existing specialists will seem twice associated wishes. Finally nation	Books	business	5.15	242.88	0.15
-AAAAAAAAJMEDAAAA	Personal, significant activities agree only by a couples. Elaborate aut	Books	business	3.06	85.26	0.05
-AAAAAAAAKAJDAAAA	Short neighbours implement innocently tiny titles. Briefly simple years should not tell potentially successful, whole years. Orange workers carry; home hot feet l	Books	business	4.43	4949.49	3.15
-AAAAAAAAKAKAAAAA	Still urban stages shall not take for a legs. Other, holy demands pay further young, positive numbers. A little criminal i	Books	business	7.68	9959.06	6.34
-AAAAAAAAKMAAAAAA	Plans consult interested, light boys. Selective, other problems create scientific, young parties. Sufficient speakers might not kiss too social, basic interests. Dual, other times s	Books	business	0.19	910.16	0.57
-AAAAAAAALDFAAAAA	Hands may not allow only in a lands; linear, other pubs say; social, precise women identify for a patients. Preferences develop alone now rich motives. Ever good tas	Books	business	3.68	1816.45	1.15
-AAAAAAAALGBBAAAA	Modern records retain about there civil plans. Social bodies survive. Great, living losses bother late, coherent others. About british sports ought to use cautiously from 	Books	business	1.94	1252.09	0.79
-AAAAAAAAMALDAAAA	Here final difficulties would not comply just legal good motives. Enough sensitive things could not spend obviously with a systems. In pu	Books	business	91.76	356.85	0.22
-AAAAAAAAMIGCAAAA	Carefully physical hotels must put together; similar details cannot appreciate by a standards. Rates can break m	Books	business	6.63	562.96	0.35
-AAAAAAAAMIMCAAAA	About likely houses like international members. Final, relevant birds answer after the paintings. Hungry, personal days borrow tiny, primary resources. As social relations could choose quite also 	Books	business	0.77	2889.22	1.84
-AAAAAAAAMKHAAAAA	Unions shall see enough over true attitudes; of course full variable	Books	business	8.90	15263.90	9.72
-AAAAAAAAMKNDAAAA	Special, clear elements would buy at a games. Things should spot today strange, only devices. Armies should like at a patients. Hands could perform simply narrow values. N	Books	business	1.28	1069.76	0.68
-AAAAAAAANACBAAAA	New teachers might demand never assets. Deeply bright ministers make generally never prime imports. Odd writings step common readers; talks take young, r	Books	business	2.95	3975.16	2.53
-AAAAAAAAPDNAAAAA	Local, unlikely bits sign completely. Areas feel only manufacturing legs. Amounts must go personal, very things; areas could take clo	Books	business	5.20	3545.37	2.25
-AAAAAAAAPEKCAAAA	Alone countries must use so old, international functions. Only public cases see in a words. Normal methods forget even communist changes; technical numbers convert either natu	Books	business	4.67	3899.62	2.48
-AAAAAAAAPGDBAAAA	Certainly remaining flowers can wonder then just significant papers; places secure below as a bombs. Other, domestic members must allow very polite thi	Books	business	0.60	12462.77	7.94
-AAAAAAAAPHJAAAAA	Possibly great customs suit close looks. Capable, frequent processes shall pass possible dangers; hard, private words act measures. Mysterious, acceptable fac	Books	business	6.64	6141.24	3.91
-AAAAAAAAAALDAAAA	Forward liable funds may not end from time to time local, domestic chiefs. Major, well-known newspapers can regain together new, white conclusions. Very vital employees can draw	Books	computers	17.54	588.01	0.31
-AAAAAAAAAHKDAAAA	Decisions play actually exclusive activities. Well assistant e	Books	computers	8.77	1619.66	0.85
-AAAAAAAAAKGDAAAA	Tonnes could use slowly off a servants. Initial letters must walk now companies; rapid, previous towns put here large, prime needs. Historical, negative grou	Books	computers	0.19	3319.10	1.75
-AAAAAAAAAOBCAAAA	Years should try in line with a conditions. Pp. spend well evenings. Other, afraid sides speculate at a years. Options ought to know leading, app	Books	computers	5.23	8468.08	4.47
-AAAAAAAABHEEAAAA	Subjects may remain officials. Forward, straight objects used to see wh	Books	computers	6.97	13658.40	7.22
-AAAAAAAABLMBAAAA	External improvements effect so tough words. Great roads cause quickly popular, black stories. Clearly white members might ask enough details. Min	Books	computers	31.74	4154.04	2.19
-AAAAAAAACHOCAAAA	Final governm	Books	computers	6.22	5102.98	2.69
-AAAAAAAACOHDAAAA	Left, important sports shall get on an specialists. Overall, e	Books	computers	3.56	14321.37	7.57
-AAAAAAAAEANCAAAA	Ye	Books	computers	9.75	1367.76	0.72
-AAAAAAAAEAPAAAAA	Just distinct children think individuals; popular arguments develop here cautious methods; appropriate children might beat. Proper, empirical hundreds fall oth	Books	computers	4.01	328.50	0.17
-AAAAAAAAEDMAAAAA	Books understand. Principles produce just at a premises. Years 	Books	computers	44.48	188.86	0.09
-AAAAAAAAFEEAAAAA	Capital, united feelings paint only things. Greatly financial economies should not pay somewhere soviet necessary armies; educational concepts mus	Books	computers	3.83	812.19	0.42
-AAAAAAAAFLFEAAAA	Social weeks may hope. However parental objects shall get just potential logical stations. Agreements attend on a arms; circa real reforms may interpret dogs. T	Books	computers	2.06	449.61	0.23
-AAAAAAAAGENAAAAA	Genera	Books	computers	2.84	950.58	0.50
-AAAAAAAAGHCBAAAA	Hundreds would meet regardless german, foreign scien	Books	computers	9.77	1969.60	1.04
-AAAAAAAAGNGBAAAA	Brilliant, massive prisons take still national others. Only northern guidelines go right by the lips. General, spiritual walls shall reach in a languages. British nations eat substantial polici	Books	computers	3.42	377.26	0.19
-AAAAAAAAHPADAAAA	Used, young sizes take requirements. Electoral, standard stones worry still private scenes. Major, still bedrooms say all once effective years. Long new moments will own after the	Books	computers	9.19	690.90	0.36
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q21.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q21.out
deleted file mode 100644
index 88000d18c2..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q21.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q21 --
-	AAAAAAAAAABDAAAA	2565	1922
-	AAAAAAAAAAHDAAAA	2956	2052
-	AAAAAAAAAALAAAAA	2042	1793
-	AAAAAAAAABDAAAAA	3340	2626
-	AAAAAAAAACGCAAAA	2373	1771
-	AAAAAAAAACKCAAAA	2321	1856
-	AAAAAAAAACOBAAAA	1504	1397
-	AAAAAAAAADKBAAAA	1820	2163
-	AAAAAAAAAEADAAAA	2631	1965
-	AAAAAAAAAEOCAAAA	1659	1798
-	AAAAAAAAAFACAAAA	1965	1705
-	AAAAAAAAAFADAAAA	1769	1313
-	AAAAAAAAAHDEAAAA	2700	1985
-	AAAAAAAAAHHAAAAA	1578	1082
-	AAAAAAAAAIECAAAA	1756	1804
-	AAAAAAAAAIMCAAAA	3603	2951
-	AAAAAAAAAJACAAAA	2109	1989
-	AAAAAAAAAJKBAAAA	2573	3540
-	AAAAAAAAALBEAAAA	3458	2992
-	AAAAAAAAALCEAAAA	1720	1810
-	AAAAAAAAALECAAAA	2569	1946
-	AAAAAAAAALNBAAAA	2552	1750
-	AAAAAAAAANFEAAAA	2022	2269
-	AAAAAAAAAOBBAAAA	1603	1592
-	AAAAAAAAAOIBAAAA	2982	2540
-	AAAAAAAAAPJBAAAA	2344	2593
-	AAAAAAAABAPDAAAA	2182	2787
-	AAAAAAAABDCEAAAA	2844	2069
-	AAAAAAAABDDDAAAA	2417	2537
-	AAAAAAAABDJAAAAA	1584	1666
-	AAAAAAAABEODAAAA	2141	2649
-	AAAAAAAABFCCAAAA	2745	2020
-	AAAAAAAABFMBAAAA	1642	1364
-	AAAAAAAABHPCAAAA	1923	1780
-	AAAAAAAABIDBAAAA	1956	2836
-	AAAAAAAABIGBAAAA	2023	2344
-	AAAAAAAABIJBAAAA	1977	2728
-	AAAAAAAABJFEAAAA	1891	2390
-	AAAAAAAABLDEAAAA	1983	1797
-	AAAAAAAABNIDAAAA	2485	2324
-	AAAAAAAABNLDAAAA	2385	2786
-	AAAAAAAABOMBAAAA	2291	2092
-	AAAAAAAACAAAAAAA	2233	2560
-	AAAAAAAACBCDAAAA	1540	2012
-	AAAAAAAACBIAAAAA	2394	2122
-	AAAAAAAACBPBAAAA	1790	1661
-	AAAAAAAACCMDAAAA	2654	2691
-	AAAAAAAACDBCAAAA	1804	2072
-	AAAAAAAACFEAAAAA	1941	1567
-	AAAAAAAACFHDAAAA	1696	1147
-	AAAAAAAACGFDAAAA	2123	2265
-	AAAAAAAACHPCAAAA	2933	2174
-	AAAAAAAACIGDAAAA	2618	2399
-	AAAAAAAACJCBAAAA	2728	2367
-	AAAAAAAACJLAAAAA	1350	1732
-	AAAAAAAACLAEAAAA	2578	2329
-	AAAAAAAACLGAAAAA	1842	1588
-	AAAAAAAACLLBAAAA	3418	2657
-	AAAAAAAACLOBAAAA	3115	2560
-	AAAAAAAACMADAAAA	1991	2243
-	AAAAAAAACMJAAAAA	1261	1855
-	AAAAAAAACMLAAAAA	3288	2753
-	AAAAAAAACMPDAAAA	1320	1676
-	AAAAAAAACNGBAAAA	2340	2118
-	AAAAAAAACNHDAAAA	3519	3348
-	AAAAAAAACNPCAAAA	2561	1948
-	AAAAAAAADCPCAAAA	2664	2627
-	AAAAAAAADDHAAAAA	1313	1926
-	AAAAAAAADDNDAAAA	1109	835
-	AAAAAAAADEAAAAAA	2141	1847
-	AAAAAAAADEJAAAAA	3142	2723
-	AAAAAAAADFKBAAAA	1470	1650
-	AAAAAAAADGCCAAAA	2113	2331
-	AAAAAAAADGFCAAAA	2201	2928
-	AAAAAAAADHPAAAAA	2467	2133
-	AAAAAAAADMBAAAAA	3085	2087
-	AAAAAAAADPABAAAA	3494	3081
-	AAAAAAAAEAECAAAA	2133	2148
-	AAAAAAAAEAPAAAAA	1560	1275
-	AAAAAAAAECGCAAAA	2815	3307
-	AAAAAAAAEDPDAAAA	2731	1883
-	AAAAAAAAEEECAAAA	2024	1902
-	AAAAAAAAEEMCAAAA	2624	2387
-	AAAAAAAAEFFAAAAA	2047	1878
-	AAAAAAAAEGJAAAAA	2403	2633
-	AAAAAAAAEGMAAAAA	2784	2772
-	AAAAAAAAEGOCAAAA	2389	1753
-	AAAAAAAAEHFDAAAA	1940	1420
-	AAAAAAAAEHLBAAAA	2320	2057
-	AAAAAAAAEHPAAAAA	1898	1853
-	AAAAAAAAEIPBAAAA	2930	2326
-	AAAAAAAAEJAEAAAA	2582	1836
-	AAAAAAAAEJIBAAAA	2257	1681
-	AAAAAAAAEJJAAAAA	2791	1941
-	AAAAAAAAEJJDAAAA	3410	2405
-	AAAAAAAAEJNCAAAA	2472	2067
-	AAAAAAAAEJPDAAAA	1219	1229
-	AAAAAAAAEKEBAAAA	2047	1713
-	AAAAAAAAEMEAAAAA	2502	1897
-	AAAAAAAAEMKCAAAA	2362	2042
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q22.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q22.out
deleted file mode 100644
index a7212bb39b..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q22.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q22 --
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-ableationprieing	amalgamalg #1	\N	\N	445.99583333333334
-ableationprieing	amalgamalg #1	dresses	\N	445.99583333333334
-ableationprieing	amalgamalg #1	dresses	Women	445.99583333333334
-pribarpribarought	\N	\N	\N	446.0408163265306
-pribarpribarought	edu packimporto #2	\N	\N	446.0408163265306
-pribarpribarought	edu packimporto #2	sports-apparel	\N	446.0408163265306
-pribarpribarought	edu packimporto #2	sports-apparel	Men	446.0408163265306
-oughtn stprin st	\N	\N	\N	447.26666666666665
-oughtn stprin st	exportiamalgamalg #8	\N	\N	447.26666666666665
-oughtn stprin st	exportiamalgamalg #8	stereo	\N	447.26666666666665
-oughtn stprin st	exportiamalgamalg #8	stereo	Electronics	447.26666666666665
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q23_1.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q23_1.out
deleted file mode 100644
index 18bc8a4f0d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q23_1.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q23_1 --
-17030.91
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q23_2.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q23_2.out
deleted file mode 100644
index 123e0e9ba4..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q23_2.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q23_2 --
-	Robert	598.86
-Brown	Monika	6031.52
-Collins	Gordon	727.57
-Green	Jesse	9672.96
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q24_1.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q24_1.out
deleted file mode 100644
index b5b3781427..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q24_1.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q24_1 --
-	Tommy	able	38118.08
-Holt	Curtis	able	8225.80
-Kunz	Lee	able	34631.52
-Littlefield	Clarence	able	127380.00
-Pettit	Richard	able	3930.52
-Townsend	Franklin	able	68983.20
-Winchester	Margaret	bar	14269.20
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q24_2.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q24_2.out
deleted file mode 100644
index 3dd7690d52..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q24_2.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q24_2 --
-Griffith	Ray	able	161564.48
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q25.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q25.out
deleted file mode 100644
index ca4fbfd4f6..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q25.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q25 --
-AAAAAAAADPMBAAAA	Things know alone letters. Flights should tend even jewish fees. Civil plans could not cry also social days; other losses might not pay walls; still able signs should not remove too human 	AAAAAAAAHAAAAAAA	ation	12.84	91.41	-1329.46
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q26.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q26.out
deleted file mode 100644
index 24761edcb3..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q26.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q26 --
-AAAAAAAAAAAEAAAA	63.0	30.0100	0.0000	25.2900
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q27.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q27.out
deleted file mode 100644
index ed0c8ad012..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q27.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q27 --
-\N	\N	1	51.05758807588076	75.6595	194.4079	38.2563
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q28.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q28.out
deleted file mode 100644
index fb2fd47f91..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q28.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q28 --
-77.7174	36142	9210	69.5026	35250	6592	134.0115	27875	9741	82.5527	31422	7678	61.8260	36100	8664	39.2795	29776	5210
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q29.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q29.out
deleted file mode 100644
index b0cd37dfcc..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q29.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q29 --
-AAAAAAAABOKDAAAA	Immediate women sell. Slowly sure measures might ensure in order from a duties. Privately aware damages may compensate so for example previous letters	AAAAAAAABAAAAAAA	ought	99	81	22
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q30.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q30.out
deleted file mode 100644
index d36d4b73d3..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q30.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q30 --
-AAAAAAAAAAAIBAAA	Mr.	Eduardo	Goodwin	Y	24	11	1950	GHANA		Eduardo.Goodwin@rolemn2xusv5Ot0.edu	2452312	3838
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-AAAAAAAAABPNAAAA	Mr.	Alonzo	Huddleston	Y	19	4	1957	FAROE ISLANDS		Alonzo.Huddleston@g.edu	2452289	2813
-AAAAAAAAADBDAAAA	Dr.	Stephen	Clark	N	23	1	1940	TUVALU		Stephen.Clark@p.edu	2452335	2301.75
-AAAAAAAAAFCGBAAA	Ms.	Pamela	Slater	Y	2	6	1931	GAMBIA		Pamela.Slater@ajU1sMrf5vC7.com	2452613	1746.58
-AAAAAAAAAFLBAAAA	Sir	Keith	Stern	N	18	2	1925	ICELAND		Keith.Stern@34Hb991eohmd.com	2452549	1850.7
-AAAAAAAAAFLBAAAA	Sir	Keith	Stern	N	18	2	1925	ICELAND		Keith.Stern@34Hb991eohmd.com	2452549	10898.4
-AAAAAAAAAFOEBAAA	Dr.	Trevor	Battle	N	12	8	1953	THAILAND		Trevor.Battle@0F.com	2452643	3556
-AAAAAAAAAIKEAAAA	Dr.	Joseph	Miller	N	17	12	1930	MONACO		Joseph.Miller@Ampmde.edu	2452332	7037.55
-AAAAAAAAAJMABAAA	Miss	Brenda	Sloan	Y	23	3	1982	MALAYSIA		Brenda.Sloan@csCoX.edu	2452336	1783.19
-AAAAAAAAAKDNAAAA					\N	12	\N				2452544	2448.03
-AAAAAAAAANCLAAAA	Mr.	Raymond	Dixon	N	31	12	1977	MONTENEGRO		Raymond.Dixon@07IH.edu	2452514	1785.96
-AAAAAAAAANNNAAAA	Ms.	Cindy	Julian	Y	4	8	1982	UGANDA		Cindy.Julian@ChEB5eyUCBe.org	2452368	2449.04
-AAAAAAAAAPKJAAAA	Ms.	Elizabeth	Pepper	Y	28	12	1930	NICARAGUA		Elizabeth.Pepper@xlygC22.org	2452645	1764.4
-AAAAAAAABAKCBAAA	Miss	Denise	Brock	Y	10	4	1958	JAMAICA		Denise.Brock@7ffTBTNaX7is.com	2452435	1618.24
-AAAAAAAABBMDAAAA	Dr.	Walter	Bernard	Y	2	10	1948	BELARUS		Walter.Bernard@Th.org	2452628	1755.66
-AAAAAAAABDFJAAAA	Dr.	Jeanne	Everett	N	27	12	1937	BAHRAIN		Jeanne.Everett@MQLipEQrBD.edu	2452467	2478.34
-AAAAAAAABIBBBAAA	Miss	Lorene	Mayfield	N	17	12	1947	ALBANIA		Lorene.Mayfield@ECni6UFkF2.edu	2452450	3157.7
-AAAAAAAABIIDAAAA	Mr.	Paul	Stevenson	N	26	2	1953	BARBADOS		Paul.Stevenson@tHMZG9.com	2452488	1947.77
-AAAAAAAABMJAAAAA	Dr.	Marion	Mclain	N	16	2	1931	ANGUILLA		Marion.Mclain@PKik2BMH.com	2452382	3134.46
-AAAAAAAABNFHBAAA	Mr.	Kristofer	Payne	N	12	5	1945	SYRIAN ARAB REPUBLIC		Kristofer.Payne@nc70sAM.com	2452436	3813.33
-AAAAAAAABOLLAAAA	Miss	Lisa	Way	N	11	1	1941	LEBANON		Lisa.Way@nnVbE2MvTT.com	2452383	1829.88
-AAAAAAAABPHKAAAA	Dr.	Gabriela	Jerome	Y	9	7	1969	IRAQ		Gabriela.Jerome@Hay.com	2452567	5360.55
-AAAAAAAACBAFAAAA	Dr.	Timothy	Carroll	Y	14	8	1957	UGANDA		Timothy.Carroll@pUcgCvxC4nkcM.edu	2452535	1642.8
-AAAAAAAACBPMAAAA	Ms.	Shana	Fulton	N	10	2	1955	RWANDA		Shana.Fulton@2CAVqR7d.org	2452378	2089.36
-AAAAAAAACCFCBAAA	Mr.	Mark	Pacheco	N	9	3	1956	YEMEN		Mark.Pacheco@NMMki.edu	2452377	1838.48
-AAAAAAAACCMEAAAA	Dr.	Adriane	Harmon	N	1	10	1964	ARGENTINA		Adriane.Harmon@X0nMJZPDL.com	2452562	8986.95
-AAAAAAAACCNJAAAA	Dr.	Elizabeth	Gilbreath	Y	17	1	1985	KIRIBATI		Elizabeth.Gilbreath@4LxlO8fArnEeEavQe.com	2452485	2450.86
-AAAAAAAACDDNAAAA	Ms.	Holly	Kim	N	15	6	1941	ICELAND		Holly.Kim@OkTfC7tRYgy4.edu	2452580	2719.44
-AAAAAAAACGILAAAA	Sir	Nolan	Mosley	N	20	3	1980	KENYA		Nolan.Mosley@5E.org	2452317	1865.64
-AAAAAAAACHFHBAAA	Mr.	Dallas	Courtney	Y	21	5	1928	CÔTE D'IVOIRE		Dallas.Courtney@c7.org	2452496	4394.79
-AAAAAAAACKOFAAAA	Dr.	Eric	Bucher	Y	19	9	1979	ALBANIA		Eric.Bucher@sxSne.org	2452541	4662.35
-AAAAAAAACMHNAAAA	Miss	Lisa	Dukes	Y	4	3	1964	SOLOMON ISLANDS		Lisa.Dukes@tuRJRXkQm.com	2452303	10387.84
-AAAAAAAACNGBAAAA	Mr.	Michael	Haley	Y	10	5	1933	SWAZILAND		Michael.Haley@OfAOvhrm.com	2452359	4187.82
-AAAAAAAACOFAAAAA	Ms.	Tammy	Searcy	N	6	5	1989	SURINAME		Tammy.Searcy@6ZFFGtIuCqT.com	2452295	5091.84
-AAAAAAAADBBHAAAA	Dr.	Charles	Fernandez	N	8	12	1992	CAMBODIA		Charles.Fernandez@MVhjrzVNVY.com	2452574	4640.37
-AAAAAAAADFCBBAAA	Dr.	Micheal	Collier	N	1	9	1934	HONDURAS		Micheal.Collier@NztJvzb.org	2452446	15944.4
-AAAAAAAADIHHAAAA	Miss	Vikki	Garza	Y	29	8	1950	NAMIBIA		Vikki.Garza@v.edu	2452608	2373.84
-AAAAAAAADJAPAAAA	Ms.	Angel	Dodd	Y	22	12	1950	TIMOR-LESTE		Angel.Dodd@gQOLRKqU285BfTIT.edu	2452634	2227.83
-AAAAAAAADKEFAAAA	Ms.	Martha	Dillon	N	9	12	1971	VANUATU		Martha.Dillon@iKkeDtKERbu.org	2452404	1863.4
-AAAAAAAADKIFAAAA	Sir	Walter	Stout	Y	18	1	1970	BURUNDI		Walter.Stout@Q961tU4iePsOy.org	2452449	2465.55
-AAAAAAAADLHNAAAA	Mr.	Joseph	Mckinney	Y	23	3	1940	ARMENIA		Joseph.Mckinney@4YYp7B8ccPz.edu	2452595	1820.02
-AAAAAAAADMMDBAAA	Mr.	Darrell	Padgett	Y	17	3	1992	HONDURAS		Darrell.Padgett@IrqARXX.org	2452554	2052.54
-AAAAAAAADNHPAAAA	Mr.	John	Mathews	N	23	2	1925	NICARAGUA		John.Mathews@UOtpEd.edu	2452543	7883.4
-AAAAAAAADOCMAAAA	Dr.	Yvonne	Poirier	Y	30	1	1950	ESTONIA		Yvonne.Poirier@l.org	2452648	4075.55
-AAAAAAAADODBAAAA	Mrs.	Elizabeth	Spalding	N	27	11	1947	KAZAKHSTAN		Elizabeth.Spalding@ihnjlmxMbs.edu	2452318	10349.68
-AAAAAAAAEBAOAAAA	Miss	Amy	Causey	N	21	9	1951	COMOROS		Amy.Causey@7EvHzf02opq6QlO.com	2452443	8005.4
-AAAAAAAAEBLEAAAA	Mr.	Leroy	Couture	N	7	5	1938	SWITZERLAND		Leroy.Couture@vqrL.com	2452595	1683.88
-AAAAAAAAEEADAAAA	Mr.	Robert	Donohue	Y	21	8	1938	SWAZILAND		Robert.Donohue@U2xz7.org	2452436	11083.8
-AAAAAAAAEHAABAAA	Dr.	Victoria	Morgan	Y	31	5	1960	JERSEY		Victoria.Morgan@Sk3jzrDZTq.org	2452646	1712.16
-AAAAAAAAEHGOAAAA	Miss	Jillian	Nelson	Y	27	7	1978	TURKMENISTAN		Jillian.Nelson@ph0qObqh3fbv.com	2452315	4432.69
-AAAAAAAAEHPNAAAA	Dr.	Rachael	King	Y	28	11	1927	PANAMA		Rachael.King@t8dA2klrEIBiCd.edu	2452438	2251.5
-AAAAAAAAEIDHAAAA	Sir	George	Garcia	Y	21	4	1960	CROATIA		George.Garcia@uzGHyYUnvs.edu	2452306	1783.12
-AAAAAAAAEIDHAAAA	Sir	George	Garcia	Y	21	4	1960	CROATIA		George.Garcia@uzGHyYUnvs.edu	2452306	1857.63
-AAAAAAAAEIOBBAAA	Mr.	Gary	Davis	N	9	6	1992	KYRGYZSTAN		Gary.Davis@GTXc2AbKvkM.edu	2452322	1652.7
-AAAAAAAAEJFNAAAA	Dr.	Chad	Baldwin	Y	11	11	1937	BULGARIA		Chad.Baldwin@cN988.org	2452560	11133.36
-AAAAAAAAEJOPAAAA	Dr.	Alexandra	Henderson	N	4	2	1986	MONTENEGRO		Alexandra.Henderson@4FCXABbkVkrLK.com	2452376	3426.36
-AAAAAAAAELEBAAAA	Mrs.	Dianne	Ross	Y	19	7	1949	ICELAND		Dianne.Ross@D4VH75e9n.org	2452429	4018.3
-AAAAAAAAEMDIBAAA	Sir	Scott	Obrien	Y	3	8	1926	JERSEY		Scott.Obrien@a84VTAJCTB.com	2452504	1456.67
-AAAAAAAAEMIAAAAA	Dr.	Danny	Ness	Y	25	10	1955	IRAQ		Danny.Ness@CC8vAp.edu	2452487	5569.5
-AAAAAAAAEMNGBAAA	Mr.	Milton	Oakley	Y	10	10	1976	FINLAND		Milton.Oakley@O4DHXT.com	2452355	1505.16
-AAAAAAAAEMPKAAAA	Sir	Gilbert	Palmer	N	23	10	1933	BRUNEI DARUSSALAM		Gilbert.Palmer@7UYjIOOIg0.org	2452463	2391.95
-AAAAAAAAENFLAAAA	Sir	Joseph	Gaffney	N	22	1	1967	BULGARIA		Joseph.Gaffney@nBDj.org	2452608	6135.48
-AAAAAAAAEPELAAAA	Dr.	Emily	Thomas	Y	14	3	1981	MOZAMBIQUE		Emily.Thomas@qtJnzLvYcK598T.edu	2452617	3239.04
-AAAAAAAAFBLHAAAA	Mr.	Carter	Lombardo	N	22	11	1950	MONACO		Carter.Lombardo@X.edu	2452582	3965.43
-AAAAAAAAFHODBAAA	Ms.	Diana	Hall	N	14	7	1934	LATVIA		Diana.Hall@Be.com	2452546	9391.76
-AAAAAAAAFLAJAAAA	Mr.	John	Hardy	Y	4	9	1977	ANGUILLA		John.Hardy@LnaYnyZ9AYee.edu	2452289	1640.8
-AAAAAAAAFLDFBAAA	Mr.	Demetrius	Hunt	N	30	8	1956	ZAMBIA		Demetrius.Hunt@J3.com	2452647	3673.6
-AAAAAAAAFMCFBAAA	Mrs.	Karen	Middleton	Y	21	10	1934	GUADELOUPE		Karen.Middleton@q.com	2452343	1415.7
-AAAAAAAAFMENAAAA	Ms.	Anne	Jernigan	Y	14	8	1952	ITALY		Anne.Jernigan@BBtNT7SneOEKG.edu	2452612	1735.14
-AAAAAAAAFMLEAAAA	Mr.	Gavin			21	\N	1933	BRAZIL		Gavin.Maples@AT6ClrGUc79.com	\N	4882.15
-AAAAAAAAFMPMAAAA	Sir	Jack	Thomas	Y	12	1	1971	ARMENIA		Jack.Thomas@dn0mBXIEu7XPH.com	2452409	2501.94
-AAAAAAAAFNHBBAAA	Miss	Jennifer	Long	Y	12	6	1984	VENEZUELA		Jennifer.Long@RyRC5oxxCoVPG.com	2452285	4430.88
-AAAAAAAAGAGEAAAA	Sir	Jeffrey	Cleveland	N	2	8	1974	GUADELOUPE		Jeffrey.Cleveland@ijNnAoDZQajhuz.edu	2452380	4215.15
-AAAAAAAAGCNPAAAA	Sir	Jack	Stewart	N	19	12	1926	SAN MARINO		Jack.Stewart@G6N710E1oO.edu	2452618	2859.5
-AAAAAAAAGFKEAAAA	Dr.		Brown		\N	4	1933	ROMANIA			\N	11364.32
-AAAAAAAAGGBIBAAA	Dr.	Michael	Christiansen	Y	4	3	1947	ISRAEL		Michael.Christiansen@kQmauEb.org	2452583	1726.2
-AAAAAAAAGHHEAAAA	Sir	Jerry	Glover	Y	3	6	1942	ANTIGUA AND BARBUDA		Jerry.Glover@yCUI3N8C0o7LPvL.edu	2452645	6382.26
-AAAAAAAAGICFAAAA	Mr.	Charles	Sloan	Y	8	4	1991	KOREA, REPUBLIC OF		Charles.Sloan@gnfGZRA0F.com	2452431	2793.57
-AAAAAAAAGIFHBAAA	Sir	Joe	Jackson	N	31	10	1969	FRENCH POLYNESIA		Joe.Jackson@eHmBJ4QqjNKJypF.com	2452534	1692.69
-AAAAAAAAGJEGBAAA	Dr.	Carlos	Hampton	N	18	11	1947	DOMINICA		Carlos.Hampton@nrYQ8MXgIunX6gf.com	2452470	5556.75
-AAAAAAAAGMDJAAAA	Dr.	Christopher	Payne	Y	30	12	1958	DJIBOUTI		Christopher.Payne@R6POV.org	2452350	1638.72
-AAAAAAAAGOPMAAAA	Mrs.	Donna	West	N	2	12	1977	SOLOMON ISLANDS		Donna.West@6Q.com	2452645	1623.2
-AAAAAAAAHBBDBAAA	Mrs.		Henry	N	\N	\N	1948	ARUBA			2452337	4377.3
-AAAAAAAAHBBDBAAA	Mrs.		Henry	N	\N	\N	1948	ARUBA			2452337	5013.12
-AAAAAAAAHCJKAAAA	Ms.	Emma	Bailey	N	2	10	1935	LATVIA		Emma.Bailey@beDlbUDUUcPhilRyy9.edu	2452491	5638.14
-AAAAAAAAHGCHBAAA	Dr.	Thomas	Hull	Y	24	2	1931	DENMARK		Thomas.Hull@XobY92y.com	2452648	2487.6
-AAAAAAAAHGIFAAAA	Sir	James	Turner	N	25	10	1937	JERSEY		James.Turner@4RGTbOoV.org	2452293	2757.44
-AAAAAAAAHIIDBAAA	Mrs.	Andrew	Barrett	Y	24	5	1992	GUERNSEY		Andrew.Barrett@i85phxAtKhZfES.com	2452319	7854.67
-AAAAAAAAHJOBAAAA	Mrs.	April	Wallace	N	19	7	1930	FIJI		April.Wallace@9iuUi3U0K.edu	2452382	4596.6
-AAAAAAAAHMEFBAAA		Joshua	Bruno		1	11	\N			Joshua.Bruno@7Ds6hF5nMgOTel9.org	2452303	1806.33
-AAAAAAAAHMNNAAAA	Sir	Jeffery	Thomas	Y	8	3	1929	MONTSERRAT		Jeffery.Thomas@Ld7t.org	2452598	2441.4
-AAAAAAAAICMGAAAA	Miss	Edith	Robinson	Y	11	7	1967	PUERTO RICO		Edith.Robinson@zuf2DUz3bhKnEB.org	2452319	7193.61
-AAAAAAAAIGLCBAAA	Miss	Erika	Edmondson	Y	1	8	1944	DJIBOUTI		Erika.Edmondson@BuAbOSrTiD06f.edu	2452460	2381.83
-AAAAAAAAIJGGBAAA	Ms.	Carolyn	Cardona	N	15	9	1936	BULGARIA		Carolyn.Cardona@EhKjaAPoU8gf.edu	2452453	7659.19
-AAAAAAAAIMAHBAAA	Mrs.	Elizabeth	Guzman	Y	19	9	1950	GREECE		Elizabeth.Guzman@4Rq0Cyh9c.edu	2452315	1856.2
-AAAAAAAAIMGFAAAA	Dr.	Paul	Powell	Y	28	11	1935	GREECE		Paul.Powell@3EgM4I28gtaqb.org	2452320	8416.8
-AAAAAAAAIMJCBAAA	Dr.	Dennis	Brown	Y	24	10	1978	BULGARIA		Dennis.Brown@fAvOOY4Q13dVdPfb.com	2452404	1552.46
-AAAAAAAAIMJCBAAA	Dr.	Dennis	Brown	Y	24	10	1978	BULGARIA		Dennis.Brown@fAvOOY4Q13dVdPfb.com	2452404	2639.34
-AAAAAAAAIMPNAAAA	Sir	Charles	Chadwick	N	21	1	1936	ALAND ISLANDS		Charles.Chadwick@ofbPzGan.org	2452414	4241.44
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q31.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q31.out
deleted file mode 100644
index 7117a160e0..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q31.out
+++ /dev/null
@@ -1,53 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q31 --
-Atchison County	2000	0.80	0.24	11.94	3.16
-Bacon County	2000	1.16	0.39	0.96	0.51
-Bourbon County	2000	1.91	0.98	3.36	1.38
-Boyd County	2000	1.08	0.81	1.16	0.74
-Bradley County	2000	1.48	0.57	1.34	0.99
-Buchanan County	2000	1.19	0.74	3.33	2.23
-Carter County	2000	3.95	1.15	2.11	1.84
-Cass County	2000	2.39	1.19	2.25	0.84
-Corson County	2000	0.56	0.17	4.80	3.22
-Crockett County	2000	1.63	0.36	2.13	1.83
-Culpeper County	2000	0.66	0.61	1.65	1.22
-Edmonson County	2000	0.73	0.29	1.60	1.49
-Ferry County	2000	0.70	0.34	4.00	2.60
-Fillmore County	2000	0.50	0.34	2.44	1.30
-Forest County	2000	0.64	0.34	5.77	1.88
-Gaston County	2000	0.76	0.45	3.95	2.14
-Grant County	2000	0.69	0.62	1.78	1.72
-Green County	2000	0.76	0.32	4.69	4.20
-Harlan County	2000	1.67	1.59	2.47	2.10
-Harris County	2000	2.33	0.33	2.41	1.02
-Heard County	2000	4.10	1.26	3.50	1.12
-Houston County	2000	2.04	1.03	1.96	1.42
-Ingham County	2000	0.57	0.38	1.30	0.99
-Lake County	2000	1.25	0.74	1.51	1.26
-Lincoln County	2000	1.01	0.94	2.33	1.77
-Marion County	2000	1.15	0.91	2.44	1.85
-Mercer County	2000	0.73	0.60	3.01	2.72
-Meriwether County	2000	0.36	0.30	2.77	0.78
-Miller County	2000	2.57	1.31	2.19	0.98
-Mitchell County	2000	4.43	1.16	1.39	1.25
-Mora County	2000	1.18	0.63	2.51	0.91
-Nantucket County	2000	1.43	0.72	1.17	0.96
-New Kent County	2000	0.60	0.39	2.86	2.62
-Nicholas County	2000	2.16	2.05	6.02	1.26
-Otero County	2000	2.75	1.24	2.97	2.24
-Oxford County	2000	0.97	0.75	4.01	1.64
-Perry County	2000	1.58	0.76	2.15	1.80
-Prince William County	2000	3.37	0.63	1.70	0.93
-Refugio County	2000	1.81	0.58	1.30	1.26
-Rice County	2000	1.13	0.73	2.37	1.98
-Richmond County	2000	1.57	1.29	2.30	1.77
-Sheridan County	2000	1.38	1.25	1.57	0.53
-Smith County	2000	0.63	0.42	5.74	4.47
-Stark County	2000	7.33	1.41	1.86	1.22
-Steele County	2000	1.37	0.76	1.24	0.93
-Stone County	2000	1.90	0.81	3.69	1.52
-Tooele County	2000	6.59	0.76	1.78	0.34
-Vernon County	2000	0.97	0.91	1.36	1.04
-Williamson County	2000	2.98	0.39	5.80	4.39
-Wright County	2000	5.02	1.97	4.07	1.96
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q32.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q32.out
deleted file mode 100644
index 1605513ef3..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q32.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q32 --
-28038.14
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q33.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q33.out
deleted file mode 100644
index 9d1f79d208..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q33.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q33 --
-698	214.34
-929	539.60
-464	641.96
-938	858.22
-697	959.48
-682	1074.64
-741	1195.96
-812	2069.00
-838	2256.80
-910	2291.67
-899	2355.04
-990	2370.68
-963	2380.92
-832	2684.32
-692	2773.42
-738	2945.77
-564	3210.59
-770	3379.72
-821	3446.02
-797	3485.44
-974	3527.17
-704	3574.75
-853	3850.44
-898	3854.56
-937	3968.27
-737	4284.65
-942	4618.19
-798	5017.15
-849	5099.82
-939	5122.92
-947	5138.04
-774	5138.38
-668	5666.30
-607	5770.19
-358	5955.66
-860	5957.46
-951	5973.81
-472	6060.92
-824	6198.72
-766	6237.09
-783	6341.40
-799	6360.64
-794	6474.90
-529	6476.80
-928	6536.81
-946	6817.54
-795	6859.76
-793	6871.33
-423	6878.60
-811	6887.18
-887	6998.14
-961	7098.23
-806	7143.83
-772	7196.00
-880	7202.52
-709	7247.76
-696	7732.80
-710	7783.45
-784	7894.58
-780	7973.56
-476	8166.70
-839	8299.55
-828	8398.05
-968	8461.36
-966	8715.08
-872	8722.84
-432	8779.74
-842	8879.82
-981	8899.15
-567	9226.08
-773	9431.83
-430	9891.62
-445	9913.18
-678	9976.96
-977	10067.34
-705	10202.62
-402	10322.05
-789	10376.28
-733	10653.42
-936	10760.28
-920	10922.38
-658	10926.50
-1000	10992.09
-651	11129.87
-965	11158.41
-844	11348.42
-954	11383.41
-655	11632.71
-99	11785.13
-493	11859.91
-723	12068.58
-623	12388.39
-874	12585.39
-810	12598.51
-299	12649.43
-826	12657.78
-870	12927.40
-385	12992.19
-590	13381.82
-718	13768.98
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q34.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q34.out
deleted file mode 100644
index ad5a5296c0..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q34.out
+++ /dev/null
@@ -1,454 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q34 --
-			Y	16278	15
-			Y	146557	16
-			N	55640	15
-			N	58614	15
-			N	96514	15
-			N	220211	15
-				148695	16
-				151297	15
-		Mr.	Y	214003	15
-		Ms.		54536	16
-	Grace			147095	16
-	Joshua	Sir	N	108357	15
-	Judy	Dr.		234350	16
-	Roy			200033	15
-Abbott	Harriet	Ms.	N	195008	15
-Acosta	Victor	Mr.	N	156807	15
-Adams	Jerry	Sir	N	216653	15
-Adams	Willie	Sir	N	88285	15
-Alford	Deborah	Miss	N	97678	15
-Allen	Marty	Sir	N	63646	15
-Anderson	Cindy	Miss	N	90504	15
-Anderson	Eloise	Mrs.	Y	59994	16
-Anderson	Marta	Dr.	N	176320	15
-Anderson	Martha	Mrs.	N	74295	15
-Anderson	Norma	Miss	Y	132983	16
-Anderson	Rosemarie	Mrs.	N	178489	15
-Andrews	Cindy	Miss	Y	132595	16
-Andrews	Michael	Sir	N	135694	15
-Andrews	Robert	Sir	Y	30467	15
-Appleton	Gary	Dr.	N	58554	16
-Archibald	Cindy	Miss	Y	87178	16
-Arredondo	Phyllis	Ms.	Y	226220	16
-Arsenault	Janet	Mrs.	N	169973	16
-Ashton	Irma	Mrs.	Y	99233	15
-Bailey	Lucille	Mrs.	N	2490	15
-Baker	Erik	Sir	Y	69511	15
-Barba	William	Sir	Y	102719	15
-Barnes	John	Dr.	N	74071	15
-Barnes	Michael	Mr.	N	168802	15
-Bear	Tommy	Sir	Y	27468	15
-Beasley	Joshua	Dr.	Y	32731	15
-Bell	William	Mr.	Y	82227	15
-Bender	Grover	Dr.	N	152239	15
-Benedict	Bridget	Dr.	N	16544	15
-Benson	Mike	Sir	Y	53219	16
-Berry	Theresa	Ms.	Y	77257	15
-Bilodeau	Norma	Ms.	Y	136244	15
-Blake	John	Mr.	N	193896	15
-Blanchard	Joanne	Dr.	N	5917	15
-Boles	George	Sir	N	64282	15
-Bolin	Yolanda	Dr.	N	13057	16
-Bowden	Kathleen	Ms.	N	106265	15
-Box	Eric	Dr.	N	79283	16
-Boyd	Mildred	Miss	N	190083	15
-Boyer	Betty	Mrs.	Y	171238	16
-Boyle	Timothy	Dr.	N	21865	16
-Brandt	James	Sir	Y	60562	15
-Brantley	Frank	Dr.	N	66867	15
-Brewer	Lynne	Ms.	N	77584	15
-Broughton	Doretta	Ms.	Y	206939	16
-Brower	Donald	Dr.	N	163579	15
-Brown	David	Mr.	N	162755	16
-Brown	Frederick	Mr.	N	120037	15
-Brown	Janette	Dr.	Y	7269	16
-Brown	Janice	Ms.	Y	138617	15
-Brown	Raymond	Mr.	Y	212279	15
-Brown	Roderick	Mr.	N	221290	16
-Brown	Will	Mr.	Y	147392	15
-Buck	Andrew	Dr.	N	128839	15
-Burch	Diana	Mrs.	Y	115522	15
-Burdette	Ronald	Mr.	Y	118097	15
-Butcher	Francine	Mrs.	N	112093	15
-Butcher	Thomas	Mr.	N	213918	15
-Butler	Amos	Dr.	N	7184	15
-Butler	Nicole	Dr.	N	214214	16
-Byrd	Stephanie	Miss	Y	24803	15
-Byrd	Wanda	Ms.	Y	155385	15
-Campbell	Gordon	Mr.	N	196090	15
-Campbell	William	Mr.	N	95665	15
-Carlson	Gwendolyn	Dr.	Y	88472	15
-Carpenter	Stephen	Mr.	Y	174519	16
-Carroll	Frederick	Mr.	Y	56635	15
-Carter	Cecil	Dr.	Y	34336	16
-Carter	Eddie	Dr.	N	226103	16
-Carter	Olga	Mrs.	N	84776	15
-Casey	Darrell	Sir	N	181470	15
-Castro	Sandra	Ms.	N	87567	15
-Chandler	Lisa	Dr.	N	102461	16
-Chang	Bradley	Sir	Y	53396	15
-Chang	Erik	Sir	Y	140138	15
-Chase	Daniel	Dr.	Y	129179	15
-Cheek	Rebecca	Mrs.	Y	82193	15
-Chen	Brett	Mr.	N	7880	15
-Christenson	Steven	Mr.	Y	156157	15
-Clark	Elisa	Mrs.	Y	234445	15
-Clark	Elizabeth	Dr.	Y	58831	15
-Clark	Meredith	Dr.	N	229216	16
-Clark	Rosemary	Miss	Y	31542	15
-Clayton	Michael	Mr.	N	69714	16
-Clemente	Patrick	Sir	Y	179702	15
-Clifford	Bessie	Dr.	N	61376	16
-Clifford	John	Sir	Y	12960	15
-Cochran	Dennis	Sir	Y	94375	15
-Coker	John	Mr.	N	2730	15
-Cole	Amanda	Dr.	Y	92994	15
-Cole	Gretchen	Dr.	N	191039	15
-Cole	June	Miss	N	206225	16
-Cole	Melanie	Mrs.	Y	208547	15
-Coleman	Nancy	Ms.	N	39446	16
-Collier		Mr.	Y	179488	15
-Collins	Patsy	Ms.	N	13775	15
-Conner	Sondra	Miss	N	191684	15
-Conrad	Jason	Mr.	N	166289	15
-Cook		Sir		81755	15
-Cook	John	Mr.	N	237195	15
-Cope	Felicia	Dr.	Y	195003	15
-Cordero	Dwight	Sir	Y	147038	15
-Cota	Jorge	Mr.	N	3324	15
-Crouch	Roberto	Dr.	Y	160826	15
-Cruz	Donna	Ms.	N	180864	15
-Cruz	Tamara	Ms.	N	112086	16
-Dalton	Dorthea	Dr.	Y	37698	15
-David	Timothy	Mr.	Y	20342	16
-Davis	Donya	Miss	N	31118	15
-Davis	Jess	Sir	Y	197947	15
-Davis	Sandra	Ms.	N	141249	15
-Davis	Vickie	Miss	Y	35264	15
-Davison	Jeffrey	Mr.	Y	81413	16
-Dejesus	Lorena	Dr.		157934	15
-Delacruz	Brenton	Mr.	Y	96016	15
-Delagarza	John	Mr.	N	62980	15
-Diaz	Brian	Mr.	N	73210	15
-Dietrich	Tammy	Dr.	N	114650	15
-Dorsey	Lisa	Dr.	Y	5587	15
-Dorsey	Melvin	Mr.	Y	231758	15
-Dunn	Stephen	Sir	N	32455	15
-Eason	Mario	Sir	N	174089	15
-Easton	Christopher	Sir	Y	10691	15
-Elliot	Mark	Mr.	Y	35782	16
-Esquivel	Hee	Mrs.	Y	42741	15
-Evans	April	Dr.	Y	41310	15
-Faison	Roy	Sir	Y	147757	15
-Farnsworth	Danny	Mr.	Y	29979	15
-Ferrell	Roy	Mr.	N	139997	15
-Ferris	William	Sir	Y	12536	15
-Fields	Philomena	Dr.	N	217374	15
-Fife	Terry	Dr.	N	81012	15
-Finn	Margaret	Dr.	N	207070	15
-Fitzgerald	Thomas	Mr.	Y	2698	15
-Floyd	Lillian	Dr.	Y	84374	16
-Flynn	Rhonda	Miss	N	96322	15
-Forney	Christopher	Sir	N	175230	15
-Franklin	Dorothy	Miss	Y	210152	15
-Franklin	Eileen	Miss	Y	88556	15
-Franklin	Judy	Ms.	Y	27813	15
-Freeman		Mrs.	Y	175123	15
-Freeman	Rayford	Dr.	N	36115	15
-Fuqua	Harvey	Mr.	N	130609	16
-Galindo	Karen	Dr.	N	100437	15
-Galloway	Betty	Mrs.	Y	10097	15
-Garcia	Kenny	Dr.	N	197122	16
-Garrison	Robert	Sir	Y	40421	15
-Garza	William	Sir	N	43273	15
-German	Katie	Dr.	N	33536	16
-Gibbons	Christopher	Sir	Y	237265	16
-Gibbons	Vivian	Mrs.	Y	95173	16
-Gibson	Agnes	Miss	N	228161	15
-Gil	Yvette	Mrs.	Y	86699	15
-Gill	Joshua	Sir	Y	230910	16
-Glass	Jorge	Sir	N	137536	15
-Gomez	Brandon	Sir	Y	160457	15
-Gonzales	Cindy	Dr.	Y	96495	15
-Gonzales	Edgar	Sir	N	153714	15
-Gonzalez	Ruby	Mrs.	Y	228694	15
-Gordon	Larry	Sir	Y	99782	15
-Graham	Brian	Mr.	N	13629	15
-Graham	Jerry	Sir		152656	15
-Gray	Jeffery	Mr.	Y	154258	15
-Grayson	Carolyn	Mrs.	N	69374	16
-Grayson	Terry	Mr.	N	130480	16
-Green	Cynthia	Mrs.	Y	141374	15
-Green	Robert	Mr.	N	73965	15
-Griffin	Martha	Dr.	N	82841	16
-Grubbs	Florence	Mrs.	N	47930	15
-Gulley	Daniel	Sir	Y	37484	16
-Gutierrez	Ashley	Dr.	N	209948	16
-Guzman	Mason	Mr.	Y	235019	16
-Haley	Henry	Sir	Y	141619	15
-Hall	Roger	Mr.	N	136216	15
-Hamilton	Alex	Mrs.	N	23084	15
-Hammonds	Richelle	Dr.	Y	135423	15
-Hampton			N	11567	15
-Hardy	Inez	Ms.	Y	104878	15
-Harris	Charles	Dr.	Y	61618	15
-Harris	Ezekiel	Sir	N	142043	15
-Harrison	Jennifer	Ms.	Y	63097	15
-Harrison	Michal	Mr.	Y	209687	15
-Harrison	Qiana	Dr.	Y	10522	15
-Hawkins	Clyde	Dr.	Y	236510	15
-Hayes	Elizabeth	Mrs.	N	213826	15
-Hayes	Johnnie	Sir	N	57732	15
-Hayes	William	Sir	Y	223946	15
-Haynes	Jennifer	Dr.	N	203136	15
-Haywood	Judy	Mrs.	N	167146	15
-Hernandez	Paul	Dr.	N	190691	15
-Hernandez	Sandra	Dr.	Y	14252	16
-Hewitt	Michelle	Dr.	N	155492	15
-Hill	Barbara	Ms.	Y	88890	15
-Hill	Julia	Dr.	N	191695	16
-Horton	Michelle	Ms.	Y	112716	16
-Howell	Katherine	Dr.	N	147571	16
-Huffman	Beverly	Ms.	Y	166660	16
-Hughes	Martin	Dr.	Y	178631	15
-Ivey	John	Mr.	N	189224	15
-Jackman	Ida	Dr.	Y	11753	15
-Jackson	Kathy	Ms.	N	233945	15
-Johnson	Lottie	Ms.	N	131031	15
-Johnson	Olen	Mr.	N	12862	15
-Johnson	Richard	Dr.	N	52256	15
-Johnston	Walter	Mr.	Y	219689	15
-Jones	Austin	Dr.	Y	57009	15
-Jones	Eleanor	Ms.	N	27477	16
-Jones	Jarvis	Sir	Y	74474	16
-Jones	Rebecca	Dr.	Y	187035	16
-Jones	Richard	Dr.	Y	232872	15
-Joseph	Ramon	Mr.	N	7856	15
-Joyce		Ms.		154184	16
-Keaton	Lacey	Mrs.	N	133023	15
-Keith	Bruce	Dr.	Y	24541	15
-Kelly	Betty	Dr.	Y	151468	16
-Kim	Bridget	Mrs.	Y	62861	15
-King	Thomas	Sir	N	62796	15
-Kinney	Angelica	Mrs.	N	192978	16
-Kline	Donald	Mr.	Y	161957	15
-Knight	Terence	Dr.	N	176372	16
-Kraus	Roger	Dr.	Y	117604	16
-Kruse	Jose	Dr.	N	114533	15
-Lacy	Mina	Miss	N	227155	15
-Ladner	Lisa	Dr.	Y	213223	15
-Laird	Mark	Mr.	N	65882	15
-Lavender	Robert	Sir	Y	3754	15
-Lawson	Amanda	Ms.	Y	61212	16
-Lawson	Kelly	Mr.	Y	64975	15
-Le	Rodney	Dr.	Y	79356	16
-Leigh	Abraham	Mr.	N	10283	15
-Lewis	Annie	Ms.	Y	131418	15
-Lewis	Bradley	Sir	N	182566	16
-Lewis	Jerry	Mr.	Y	233447	15
-Light	Robert	Mr.	Y	90021	15
-Lin	Robert	Dr.	Y	236887	15
-Lopez	Randee	Miss	N	9979	15
-Lopez	Theresa	Miss	Y	169110	15
-Lott	Ronald	Sir	N	79453	15
-Love	Sean	Mr.	N	196652	15
-Lowe	Elmer	Sir	N	133003	16
-Lozano	Charlotte	Mrs.	Y	31661	15
-Macias	Roger	Sir	N	82746	15
-Mansfield	Paul	Dr.	Y	5723	15
-Manuel	Doris	Mrs.	Y	148847	15
-Marks	Duane	Dr.	Y	34432	15
-Marsh	Gary	Sir	Y	6580	15
-Martin	Donald	Dr.	N	238840	16
-Martin	Steve	Mr.	N	72094	16
-Mason	Richard	Sir	Y	27500	16
-Mast	Catalina	Miss	Y	178574	15
-Matos	Josephine	Ms.	N	128283	16
-Maxey	Sharon	Ms.	N	74649	16
-Mccallister	Andrew	Ms.	Y	122178	15
-Mccloud	Nicholas	Mr.	Y	28001	15
-Mcconnell	Scott	Mr.	Y	78305	15
-Mccormick	Joanne	Ms.	N	236985	15
-Mcdaniel	Brian	Sir	N	217760	15
-Mcdonald	Araceli	Ms.	Y	121343	15
-Mcewen	Barbara	Mrs.	N	179491	15
-Mckenzie	Ana	Ms.	N	201062	16
-Mcnamara	Joann	Mrs.	Y	229870	15
-Mcswain	Virgil	Mr.	N	71937	16
-Melton	Monique	Ms.	Y	177605	15
-Miller	Brian	Dr.	N	203465	16
-Miller	Dennis	Dr.	N	137781	15
-Miller	Edward	Sir	N	64767	16
-Miller	Georgia	Ms.	N	40740	16
-Miller	Karrie	Dr.	N	170750	15
-Miller	Nancy	Mrs.	N	82671	16
-Montgomery	Julie	Miss	N	17471	15
-Moore	Barbara	Dr.	N	69608	15
-Moore	Jeffrey	Sir	Y	155931	15
-Moore	Lorena	Mrs.	Y	47752	15
-Moore	Peggy	Miss	Y	191466	15
-Morgan	Betty	Dr.	N	90306	15
-Morgan	Latricia	Mrs.	N	216137	15
-Morris	John	Dr.	Y	214378	15
-Morris	Martina	Miss	N	32596	15
-Morris	Meghan	Mrs.	Y	127565	15
-Moses	Amy	Dr.	Y	182188	15
-Moss	Michael			137243	15
-Moultrie	Martin	Dr.	N	215102	15
-Mulligan	Mark	Sir	Y	184598	16
-Mullins	Vicki	Dr.	Y	162762	15
-Murphy	Michael	Sir	Y	210567	15
-Neeley	Stephanie	Mrs.	N	216299	15
-Nelson	Everette	Dr.	N	80821	15
-Nesbitt	Andrew	Miss	N	185257	15
-Norfleet	Ethel	Miss	N	14366	15
-Olds	Stephen	Dr.	N	206275	16
-Olson	David	Dr.	Y	87821	16
-Oneill	Thomas	Mr.	N	93473	16
-Oneill	Thomas	Mr.	N	188154	15
-Osborn	Lena	Miss	Y	226949	16
-Outlaw	Dennis	Sir	N	115215	16
-Owens	Terry	Dr.	N	144931	15
-Page	Elizabeth	Ms.	N	146879	15
-Page	James	Dr.	Y	214208	16
-Palacios	Amber	Dr.	Y	225723	15
-Palmer	Debbie	Dr.	Y	121860	15
-Park	Jerry	Dr.	N	73028	15
-Peace	Carlos	Sir	N	203823	15
-Perez	Harold	Mr.	Y	6311	15
-Perez	Sheri	Ms.	N	157585	15
-Perry	Sarah	Ms.	N	100885	15
-Perry	Valeria	Mrs.	N	64861	15
-Phelps	Marco	Dr.	Y	86494	16
-Powell	Robert	Sir	Y	185862	15
-Price		Sir	N	55817	15
-Price	Florence	Ms.	Y	17220	15
-Price	Gloria	Mrs.	Y	22568	15
-Price	Marguerite	Mrs.	N	134265	16
-Price	Marie	Ms.	N	88963	15
-Price	Paul	Sir	N	103985	16
-Price	Reginald	Sir	Y	123793	15
-Pridgen	Hans	Dr.	N	207216	15
-Ramirez	Lee	Sir	N	234584	15
-Ramos	David	Dr.	Y	189463	16
-Reece	Jimmy	Sir	N	166493	16
-Reyes	Frank			84620	15
-Reyna	Rod	Sir	N	46248	16
-Reynolds	Oscar	Sir	Y	222749	15
-Richardson	Alice	Ms.	N	43255	16
-Riddle	John	Sir	Y	83916	15
-Riddle	Marcelino	Dr.	N	60749	15
-Rivera	Kate	Ms.	Y	204524	15
-Robb	Laura	Miss		173667	15
-Roberts	Candice	Dr.	Y	111855	16
-Roberts	Dorothy	Ms.	N	183154	15
-Roberts	Jennifer	Miss	Y	141296	15
-Robinson	Gary	Mr.	Y	87081	15
-Robinson	Sara	Mrs.	N	190406	15
-Roldan	Dorothy	Mrs.	N	9370	15
-Roman	Jimmie	Dr.	Y	221049	15
-Ross	Rachael	Mrs.	N	106042	16
-Ross	Robert	Mr.	Y	165295	15
-Russ	Amber	Mrs.	N	225981	15
-Russell	Larry	Dr.	Y	15209	16
-Russell	Mark	Dr.	N	126453	15
-Sacco	Brian	Sir	N	124398	16
-Saddler	Robert	Mr.	Y	74571	15
-Salinas	Kenneth	Dr.	Y	167446	15
-Salter	Antonio	Miss	N	27497	16
-Sanders	Dustin	Mr.	N	20319	15
-Sandoval	Vincent	Mr.	N	140438	16
-Sanford	Ronald	Sir	N	211947	15
-Saunders	Mae	Miss	N	108927	15
-Scott	Adam	Mrs.	N	13944	15
-Scott	Ethel	Dr.	N	112707	15
-Scott	Michael	Mr.	Y	104162	15
-Self	Harry	Sir	Y	102208	16
-Shaffer	Richard	Dr.	N	190775	16
-Shuler	Joseph	Sir	N	57224	16
-Sims	Fern	Dr.	Y	175233	15
-Sims	John	Dr.	Y	113923	15
-Smalls	Celeste	Ms.	Y	168837	15
-Smith	Dalene	Ms.	Y	143125	16
-Smith	Herbert	Dr.	Y	238646	15
-Smith	John	Mr.	N	93525	16
-Smith	Marion	Mr.	Y	65393	15
-Smith	Ralph	Sir	N	87132	16
-Smith	Terry	Dr.	Y	16945	15
-Smith	Toni	Miss	N	50011	15
-Smith	Wendell	Sir	N	85496	15
-Soares	Sally	Ms.	Y	203554	16
-Sparks	Michael	Mr.	Y	23696	15
-Spears	Edith	Ms.	Y	223566	15
-Spencer	Alfred	Mr.	Y	159308	15
-Spencer	Teri	Mrs.	N	28551	16
-Stafford	Jerry	Mr.	Y	230470	15
-Stamper	Rebekah	Dr.	N	235329	15
-Stephens	Donna	Ms.	N	151844	15
-Stevens	Mattie	Ms.	N	202640	15
-Stevens	Micheal	Dr.	Y	38659	16
-Stewart	Amanda	Mrs.	Y	145235	15
-Stewart	Gilbert	Mr.	Y	217862	15
-Stewart	Kendra	Mrs.	Y	16423	15
-Stewart	Pamela	Mrs.	Y	88160	16
-Straub	Lowell	Dr.	Y	215956	16
-Street	Lee	Mr.	N	171013	15
-Sullivan	Amy	Dr.	N	166225	15
-Swain	Laura	Ms.	Y	36774	16
-Swisher	Brian	Mr.	Y	53341	15
-Taylor	Arlene	Dr.	Y	71934	15
-Taylor	Jacqueline	Mrs.	Y	89977	16
-Taylor	Karen	Dr.	N	29777	15
-Taylor	Robert	Dr.	N	37700	15
-Thomas	Barbara	Dr.	N	172596	15
-Thomas	Christel	Dr.	Y	34579	15
-Thomas	Jeffrey	Dr.	Y	115846	15
-Thomas	Nichole	Miss	N	200721	16
-Thomas	Rebecca	Mrs.	N	80953	15
-Thompson	Brenda	Dr.	N	171735	15
-Thompson	Melissa	Dr.	N	162831	15
-Tidwell	Phyllis			234037	16
-Tilley	Jane	Mrs.	Y	45378	15
-Tinsley	Charlie	Dr.	N	23881	16
-Tolbert	Emily	Miss	Y	40132	15
-Tompkins	Charlotte			197857	15
-Torres	Jason	Dr.	N	224	16
-Torres	Roberta	Ms.	N	29436	15
-Townsend	Michelle	Mrs.	N	39872	15
-Turner	Kerry	Dr.	Y	23710	16
-Turner	Marjorie	Mrs.	N	65289	15
-Valenzuela	Bryan	Sir	Y	221858	16
-Vance	Josefina	Mrs.	N	147148	15
-Vargas	Charles	Dr.	Y	79536	15
-Vogel	Leroy	Sir	Y	29032	15
-Walker	Jim	Sir	N	46947	15
-Walker	Jose	Sir	Y	189670	16
-Walker	Richard	Sir		226475	15
-Wall	Russell	Sir	N	17231	16
-Wallace	Joseph	Sir	N	27193	15
-Walsh	Javier	Sir	Y	211987	16
-Warren	Brian	Dr.	N	15877	15
-Watson	Tina	Ms.	Y	120030	16
-Webb	Gloria	Ms.	N	65663	15
-Welch	Pauline	Mrs.	Y	47529	15
-West	Carman	Ms.		237594	15
-West	Rachel	Dr.	Y	138384	15
-Wetzel	Bebe	Dr.	N	82518	15
-White	Diane	Dr.	Y	82960	16
-White	Johnny	Dr.	N	204026	16
-Whitehead	Magan	Dr.	N	192159	16
-Wiggins	Kermit	Sir	N	112643	15
-Wilbur	Terry	Sir	N	200312	15
-Williams	Archie	Mr.	N	113007	15
-Williams	Karen	Ms.	Y	140802	15
-Williams	Scott			136844	16
-Willis	Amber	Ms.	N	53815	15
-Willis	Michael	Sir	Y	207326	15
-Wilson	Charles	Mr.	Y	60	15
-Wood	Mark	Dr.	N	4376	15
-Woody	Philip	Mr.	N	211173	16
-Wright	Amanda		Y	105395	15
-Yates	Kimberly	Ms.	Y	220849	15
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q36.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q36.out
deleted file mode 100644
index f9369a73e6..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q36.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q36 --
--0.43	\N	\N	2	1
--0.44	Electronics	\N	1	1
--0.43	Books	\N	1	2
--0.43	Children	\N	1	2
--0.43	Home	\N	1	2
--0.43	Men	\N	1	2
--0.43	Shoes	\N	1	2
--0.43	Sports	\N	1	2
--0.43	Women	\N	1	2
--0.42	Jewelry	\N	1	9
--0.42	Music	\N	1	9
--0.40	\N	\N	1	11
--0.57	\N	swimwear	0	1
--0.52	\N	pants	0	2
--0.51	\N	sports-apparel	0	3
--0.49	\N	flatware	0	4
--0.42	\N	scanners	0	5
--0.41	\N		0	6
--0.41	\N	glassware	0	6
--0.41	\N	womens	0	6
--0.34	\N	dresses	0	9
--0.28	\N	semi-precious	0	10
--0.27	\N	archery	0	11
--0.26	\N	camcorders	0	12
--0.49	Books		0	1
--0.45	Books	home repair	0	2
--0.45	Books	parenting	0	2
--0.45	Books	romance	0	2
--0.45	Books	self-help	0	2
--0.43	Books	arts	0	6
--0.43	Books	business	0	6
--0.43	Books	computers	0	6
--0.43	Books	entertainments	0	6
--0.42	Books	cooking	0	10
--0.42	Books	fiction	0	10
--0.42	Books	history	0	10
--0.42	Books	sports	0	10
--0.42	Books	travel	0	10
--0.41	Books	reference	0	15
--0.40	Books	mystery	0	16
--0.40	Books	science	0	16
--0.51	Children		0	1
--0.44	Children	infants	0	2
--0.44	Children	toddlers	0	2
--0.43	Children	newborn	0	4
--0.43	Children	school-uniforms	0	4
--0.48	Electronics	scanners	0	1
--0.47	Electronics	wireless	0	2
--0.46	Electronics	musical	0	3
--0.45	Electronics	audio	0	4
--0.45	Electronics	automotive	0	4
--0.45	Electronics	personal	0	4
--0.45	Electronics	portable	0	4
--0.44	Electronics	camcorders	0	8
--0.44	Electronics	karoke	0	8
--0.44	Electronics	stereo	0	8
--0.43	Electronics	disk drives	0	11
--0.43	Electronics	monitors	0	11
--0.42	Electronics	cameras	0	13
--0.42	Electronics	dvd/vcr players	0	13
--0.42	Electronics	televisions	0	13
--0.41	Electronics	memory	0	16
--0.45	Home	bedding	0	1
--0.45	Home	blinds/shades	0	1
--0.45	Home	rugs	0	1
--0.45	Home	tables	0	1
--0.45	Home	wallpaper	0	1
--0.44	Home	curtains/drapes	0	6
--0.44	Home	decor	0	6
--0.44	Home	kids	0	6
--0.44	Home	paint	0	6
--0.43	Home	accent	0	10
--0.42	Home	flatware	0	11
--0.42	Home	glassware	0	11
--0.41	Home	bathroom	0	13
--0.41	Home	furniture	0	13
--0.41	Home	mattresses	0	13
--0.39	Home	lighting	0	16
--0.27	Home		0	17
--0.48	Jewelry	consignment	0	1
--0.45	Jewelry	gold	0	2
--0.44	Jewelry	womens watch	0	3
--0.43	Jewelry		0	4
--0.43	Jewelry	birdal	0	4
--0.43	Jewelry	bracelets	0	4
--0.43	Jewelry	estate	0	4
--0.43	Jewelry	loose stones	0	4
--0.43	Jewelry	rings	0	4
--0.43	Jewelry	semi-precious	0	4
--0.42	Jewelry	earings	0	11
--0.42	Jewelry	pendants	0	11
--0.41	Jewelry	costume	0	13
--0.41	Jewelry	jewelry boxes	0	13
--0.41	Jewelry	mens watch	0	13
--0.40	Jewelry	custom	0	16
--0.40	Jewelry	diamonds	0	16
--0.44	Men	sports-apparel	0	1
--0.43	Men	accessories	0	2
--0.43	Men	pants	0	2
--0.42	Men	shirts	0	4
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q37.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q37.out
deleted file mode 100644
index a03c5c327c..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q37.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q37 --
-AAAAAAAAHFMBAAAA	Jobs crack at all public countries. Possible, traditional initiatives will make british problems. Fiscal years call extremely just growing pupils. Soon dutch voices	86.11
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q38.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q38.out
deleted file mode 100644
index 92614eef03..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q38.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q38 --
-107
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q39_1.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q39_1.out
deleted file mode 100644
index ad2cd92bb9..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q39_1.out
+++ /dev/null
@@ -1,246 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q39_1 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q39_2.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q39_2.out
deleted file mode 100644
index 264cee21ca..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q39_2.out
+++ /dev/null
@@ -1,17 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q39_2 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q40.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q40.out
deleted file mode 100644
index 29e03b2f09..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q40.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q40 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q41.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q41.out
deleted file mode 100644
index 76c3a8273d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q41.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q41 --
-ableationableought
-anticallyeingese
-callycallyeingese
-oughtationableought
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q42.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q42.out
deleted file mode 100644
index bbb5ee12bf..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q42.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q42 --
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q43.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q43.out
deleted file mode 100644
index c5613d944a..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q43.out
+++ /dev/null
@@ -1,9 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q43 --
-able	AAAAAAAACAAAAAAA	517884.59	469230.50	505832.67	443696.30	479716.97	462447.50	503064.60
-ation	AAAAAAAAHAAAAAAA	508811.68	474290.02	448808.84	492870.99	498127.64	474355.89	505906.68
-bar	AAAAAAAAKAAAAAAA	496021.80	459933.01	479825.96	474630.24	482326.79	478330.87	505252.22
-eing	AAAAAAAAIAAAAAAA	498752.97	476119.01	485965.24	454921.28	491953.89	476014.69	484633.67
-ese	AAAAAAAAEAAAAAAA	493724.01	499637.85	452314.62	466232.23	481922.38	477933.29	500577.95
-ought	AAAAAAAABAAAAAAA	505735.34	471490.23	463248.39	482690.52	485818.98	481816.20	491354.68
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q44.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q44.out
deleted file mode 100644
index 037bbdb4be..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q44.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q44 --
-1	oughtantiprin st	callyeingbarcallyought
-2	barcallyprioughtought	bareseationcallyought
-3	ableeingantiable	barn stcallycally
-4	n stesebarn st	eingoughtn stn st
-5	antioughtationbarought	callycallybarantiought
-6	callyeseationantiought	
-7	priableeseableought	eseableablepriought
-8	ableoughtableeseought	ationoughtantianti
-9	esebarableeseought	callyn stantieseought
-10	eingoughtn station	barcallyableought
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q46.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q46.out
deleted file mode 100644
index 9639907de3..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q46.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q46 --
-			Bunker Hill	133136	4983.83	-11549.37
-			Plainview	1459	0.00	-3836.32
-			Red Hill	93581	258.51	-4603.87
-			Red Hill	126394	0.00	-7598.00
-		Antioch	Belmont	149232	1500.41	-3669.87
-		Ashland	Philadelphia	155902	2303.72	-9449.87
-		Bayview	Springdale	162862	529.16	-18595.60
-		Belleview	Nichols	59976	13402.13	-15556.69
-		Blair	Hamilton	206536	0.00	-1287.17
-		Brownsville	Bunker Hill	159429	4557.21	-21733.27
-		Brownsville	Mechanicsburg	60829	2340.86	-7083.55
-		Brunswick	Mountain View	123733	2956.13	-17208.64
-		Buckingham	Siloam	93903	319.04	-8652.20
-		Bunker Hill	Antioch	199878	0.00	-773.27
-		Bunker Hill	Greenfield	127182	862.70	-15471.32
-		Bunker Hill	Hopewell	53497	1896.43	-14367.16
-		Cedar Grove	Jackson	81259	8.55	-11335.94
-		Centerville	Bethel	210801	6002.21	-18193.72
-		Centerville	Mount Olive	66053	2445.21	-8995.89
-		Centerville	Mount Zion	83650	3896.13	-11148.64
-		Centerville	Providence	62604	156.21	-13626.64
-		Clifford		129227	3169.89	-16776.31
-		Clifton	Mount Vernon	95501	3283.17	-13463.75
-		Concord	Stringtown	97052	2949.46	-762.97
-		Cordova	Crossroads	85385	38.97	-1522.58
-		Crossroads	Buena Vista	221999	6605.50	-14108.43
-		Crossroads	Unionville	58203	1393.55	-11986.88
-		Deerfield	Riverside	226924	1511.10	-12462.44
-		Derby	Riverdale	140237	4006.86	-7955.30
-		Edgewood	Hopewell	167421	3066.70	-20260.27
-		Empire	Five Forks	43396	1194.37	-7701.69
-		Empire	Midway	165554	258.33	-16775.39
-		Enterprise	Highland Park	147688	2213.54	-1680.47
-		Enterprise	Red Hill	115200	7016.43	-19331.97
-		Fairfield	Bridgeport	13112	1111.88	-10033.40
-		Fairfield	Midway	671	438.90	2207.18
-		Fairfield	Shiloh	149867	2723.49	-7041.50
-		Fairfield	Springdale	66752	3844.64	-8300.75
-		Fairview	Florence	90439	7932.81	-18236.19
-		Five Forks	Lakewood	186991	4960.22	-10929.93
-		Five Forks	Shady Grove	239479	374.43	-21828.49
-		Five Points	Union Hill	57715	3618.57	-14013.63
-		Florence	Edgewood	110370	434.48	-7367.45
-		Florence	Oak Ridge	45989	164.64	-13462.57
-		Florence	Spring Hill	104935	40.79	-9961.14
-		Forest Hills	Argyle	139387	508.08	-3990.97
-		Forest Hills	Ashland	214771	1585.36	-2846.81
-		Forest Hills	Riverside	184229	2485.60	-7673.40
-		Franklin	Floyd	230648	791.64	-8627.59
-		Friendship	Ashland	11043	382.33	-4808.33
-		Georgetown	Clifton	123750	189.60	-5249.53
-		Georgetown	Glendale	27617	787.61	-8592.30
-		Georgetown	Red Hill	234956	50.90	-12681.22
-		Georgetown	Summit	120620	1005.21	-3159.14
-		Gladstone	Hopewell	229820	184.68	-9366.12
-		Glendale	Four Points	167992	29.32	3058.64
-		Glendale	Indian Village	203729	3173.01	-5661.90
-		Glendale	Marion	51036	993.75	-10587.28
-		Glendale	Mount Pleasant	159389	2415.56	-12041.36
-		Glendale	West Liberty	5509	694.86	-23013.69
-		Glenwood	Antioch	86386	413.05	-6649.42
-		Glenwood	Clinton	4460	1568.11	-17245.05
-		Glenwood	Clinton	90728	3371.21	-15159.10
-		Granite	Clinton	211465	8156.94	-18944.88
-		Green Acres	Avery	191571	383.26	-7422.35
-		Greenfield	Edgewood	69782	1026.47	-14367.20
-		Greenfield	Red Oak	214549	1610.58	-1902.29
-		Greenfield	Riverdale	133538	9390.10	-15802.28
-		Greenville	Mountain View	103238	4318.13	-4564.09
-		Greenville	Shiloh	155915	0.00	-9362.72
-		Greenwood	Bridgeport	228626	994.35	-11510.47
-		Greenwood	Lakeside	37922	2446.00	-7423.85
-		Greenwood	Macedonia	133102	0.00	-2193.62
-		Hamilton	Cedar	112720	201.76	-11031.54
-		Hamilton	Liberty	121398	536.72	-8979.34
-		Hamilton	Valley View	161021	222.62	-14659.54
-		Hardy	Unionville	193341	5110.44	-14494.71
-		Harmony	Bethel	77060	5652.18	-15038.44
-		Highland Park	Salem	69302	1868.14	-9374.04
-		Hillcrest	Valley View	218569	1675.85	1324.33
-		Hopewell	Centerville	17403	0.00	-6426.77
-		Jackson	Springdale	72874	32.49	-3297.92
-		Jackson	Union Hill	114590	6854.05	-10691.19
-		Jackson	Union Hill	181398	1.53	-2517.92
-		Kingston	Clinton	169584	14529.68	-33013.98
-		Lakeview		65375	123.96	-5494.33
-		Lakeview	Richville	165849	0.00	-25580.39
-		Lakewood	Arlington	113298	5265.99	-6933.54
-		Lakewood	Bridgeport	169124	1332.90	-11714.51
-		Lakewood	Spring Hill	144979	4075.69	-7995.34
-		Lawrenceville	Bunker Hill	237291	9583.05	-5869.08
-		Lebanon	Pomona	55371	11413.39	-9108.39
-		Lewis	Red Hill	43196	0.00	-4774.25
-		Liberty	Spring Hill	95200	703.30	-6668.63
-		Lincoln	Mount Olive	148878	1735.15	-4123.35
-		Lincoln	Shiloh	152927	475.43	-9245.75
-		Ludlow	Shiloh	150308	0.00	2815.96
-		Macedonia	Summerville	96898	190.19	-5906.64
-		Maple Grove	Hardy	94091	74.16	-730.04
-		Maple Grove	Waterloo	225826	3816.54	-8655.39
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q47.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q47.out
deleted file mode 100644
index 2f2de434f0..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q47.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q47 --
-Men	importoimporto #1	ese	Unknown	1999	3	5492.8175	2070.65	3307.78	2784.11
-Music	exportischolar #1	eing	Unknown	1999	2	5134.2383	1740.21	4401.89	2721.61
-Music	edu packscholar #1	ese	Unknown	1999	4	5463.7008	2091.07	3391.39	3095.31
-Music	edu packscholar #1	ought	Unknown	1999	7	5552.3050	2226.34	4081.99	7573.33
-Music	edu packscholar #1	ese	Unknown	1999	2	5463.7008	2268.27	4139.47	3391.39
-Men	edu packimporto #1	ought	Unknown	1999	7	5176.2575	1993.73	3542.54	5764.35
-Children	exportiexporti #1	ese	Unknown	1999	3	5185.8983	2019.69	3479.21	2982.05
-Shoes	amalgedu pack #1	ation	Unknown	1999	6	5152.0958	2077.67	3123.43	2368.73
-Men	edu packimporto #1	eing	Unknown	1999	3	5501.1808	2453.88	2683.70	2615.32
-Children	exportiexporti #1	ation	Unknown	1999	4	5238.3575	2232.03	3221.70	3649.52
-Shoes	importoedu pack #1	eing	Unknown	1999	5	4698.6125	1703.27	2687.15	2757.83
-Music	exportischolar #1	bar	Unknown	1999	7	5318.1466	2346.06	3483.88	7658.62
-Music	edu packscholar #1	ation	Unknown	1999	2	5622.2275	2657.68	4207.03	3543.82
-Children	exportiexporti #1	bar	Unknown	1999	7	5280.6625	2324.79	3003.61	5961.39
-Children	importoexporti #1	eing	Unknown	1999	2	4650.4383	1734.45	2341.19	2720.78
-Shoes	importoedu pack #1	ought	Unknown	1999	4	4537.6358	1623.33	2928.34	1905.23
-Women	edu packamalg #1	ation	Unknown	1999	4	4507.4175	1596.92	2865.38	2665.75
-Men	importoimporto #1	ought	Unknown	1999	6	5045.7583	2152.15	2834.94	2667.92
-Men	edu packimporto #1	eing	Unknown	1999	4	5501.1808	2615.32	2453.88	2874.96
-Shoes	exportiedu pack #1	bar	Unknown	1999	3	5296.0891	2410.44	2685.85	3821.39
-Men	importoimporto #1	able	Unknown	1999	2	5194.8183	2333.43	2765.75	2674.91
-Music	amalgscholar #1	ought	Unknown	1999	2	4565.6000	1727.16	3895.09	2606.58
-Music	edu packscholar #1	eing	Unknown	1999	5	5539.3083	2704.16	3862.34	3960.90
-Shoes	importoedu pack #1	ation	Unknown	1999	4	4690.5775	1855.85	3524.69	3050.34
-Men	edu packimporto #1	eing	Unknown	1999	2	5501.1808	2683.70	4304.21	2453.88
-Women	exportiamalg #1	able	Unknown	1999	2	4123.6008	1306.40	2876.61	2238.71
-Music	exportischolar #1	able	Unknown	1999	5	5090.1050	2281.80	2488.24	3304.75
-Shoes	exportiedu pack #1	ought	Unknown	1999	2	4755.5358	1951.00	3949.06	2767.05
-Men	importoimporto #1	ese	Unknown	1999	6	5492.8175	2691.33	3210.74	3754.33
-Men	amalgimporto #1	ation	Unknown	1999	2	4909.4608	2116.43	3187.20	3356.64
-Men	importoimporto #1	ought	Unknown	1999	2	5045.7583	2253.70	4158.86	3467.09
-Shoes	amalgedu pack #1	ation	Unknown	1999	7	5152.0958	2368.73	2077.67	7543.60
-Men	edu packimporto #1	ese	Unknown	1999	3	4979.3616	2201.00	3110.55	3118.30
-Children	exportiexporti #1	ation	Unknown	1999	2	5238.3575	2462.96	3808.48	3221.70
-Men	amalgimporto #1	ation	Unknown	1999	4	4909.4608	2136.23	3356.64	3046.51
-Children	importoexporti #1	able	Unknown	1999	7	4586.2983	1814.46	2643.58	6423.18
-Men	edu packimporto #1	ation	Unknown	1999	4	5170.3691	2407.58	3086.77	2492.73
-Shoes	amalgedu pack #1	ese	Unknown	1999	7	4392.1866	1630.14	2755.91	6185.73
-Shoes	amalgedu pack #1	able	Unknown	1999	5	4940.2275	2187.55	2894.91	3018.65
-Men	edu packimporto #1	ought	Unknown	1999	4	5176.2575	2424.94	4285.78	3286.20
-Women	amalgamalg #1	able	Unknown	1999	6	4507.2400	1761.81	2891.95	2302.21
-Men	importoimporto #1	ation	Unknown	1999	3	5410.9166	2672.68	3591.65	2988.08
-Men	importoimporto #1	ation	Unknown	1999	5	5410.9166	2677.81	2988.08	2881.34
-Men	edu packimporto #1	bar	Unknown	1999	4	5632.7366	2901.64	3202.87	3447.78
-Children	exportiexporti #1	able	Unknown	1999	5	4955.2416	2230.80	2395.57	3003.89
-Men	importoimporto #1	eing	Unknown	1999	5	5074.0766	2356.88	2833.40	2854.62
-Men	edu packimporto #1	bar	Unknown	1999	2	5632.7366	2916.43	3847.05	3202.87
-Shoes	exportiedu pack #1	ese	Unknown	1999	3	4865.2883	2151.76	3212.91	3768.25
-Men	importoimporto #1	ese	Unknown	1999	4	5492.8175	2784.11	2070.65	3210.74
-Shoes	exportiedu pack #1	bar	Unknown	1999	7	5296.0891	2591.12	3012.98	6254.36
-Shoes	exportiedu pack #1	ation	Unknown	1999	5	4873.5108	2170.98	2302.76	3236.50
-Shoes	amalgedu pack #1	able	Unknown	1999	2	4940.2275	2239.16	3495.29	2563.93
-Children	exportiexporti #1	eing	Unknown	1999	7	5109.6541	2410.24	2916.46	6558.23
-Women	importoamalg #1	able	Unknown	1999	7	4574.7425	1881.03	2345.66	6036.28
-Women	amalgamalg #1	ought	Unknown	1999	7	4619.7075	1926.67	3528.98	5162.15
-Children	importoexporti #1	bar	Unknown	1999	7	4566.7758	1879.57	3400.62	6244.92
-Music	edu packscholar #1	ation	Unknown	1999	6	5622.2275	2943.26	3643.42	3847.77
-Music	exportischolar #1	ation	Unknown	1999	4	4962.6500	2283.77	3210.01	2539.84
-Music	exportischolar #1	ation	Unknown	1999	2	4962.6500	2284.23	3250.69	3210.01
-Men	edu packimporto #1	ation	Unknown	1999	5	5170.3691	2492.73	2407.58	3288.94
-Men	edu packimporto #1	able	Unknown	1999	3	4989.3016	2318.98	2618.89	3315.77
-Music	exportischolar #1	bar	Unknown	1999	4	5318.1466	2651.96	2989.10	3649.76
-Music	exportischolar #1	bar	Unknown	1999	2	5318.1466	2656.31	3419.77	2989.10
-Shoes	amalgedu pack #1	bar	Unknown	1999	6	4805.4016	2149.56	2686.70	3098.25
-Children	exportiexporti #1	bar	Unknown	1999	4	5280.6625	2625.99	3301.62	4331.44
-Music	amalgscholar #1	ation	Unknown	1999	4	4934.5041	2280.93	2322.89	2421.13
-Music	edu packscholar #1	able	Unknown	1999	7	5335.9083	2684.15	3543.33	7540.94
-Shoes	importoedu pack #1	eing	Unknown	1999	2	4698.6125	2058.86	3191.74	2812.15
-Shoes	edu packedu pack #1	ought	Unknown	1999	5	4745.2958	2109.27	3203.82	2737.82
-Shoes	importoedu pack #1	ought	Unknown	1999	5	4537.6358	1905.23	1623.33	3170.58
-Men	edu packimporto #1	able	Unknown	1999	6	4989.3016	2357.82	3363.58	3142.81
-Children	exportiexporti #1	able	Unknown	1999	2	4955.2416	2326.67	2746.99	3097.63
-Men	edu packimporto #1	eing	Unknown	1999	5	5501.1808	2874.96	2615.32	3714.00
-Shoes	exportiedu pack #1	ation	Unknown	1999	7	4873.5108	2256.56	3236.50	6245.37
-Shoes	importoedu pack #1	ese	Unknown	1999	3	4676.7491	2060.29	3273.67	2610.86
-Men	amalgimporto #1	ese	Unknown	1999	6	4764.5966	2150.16	3284.27	3475.17
-Music	amalgscholar #1	ation	Unknown	1999	3	4934.5041	2322.89	3197.76	2280.93
-Shoes	exportiedu pack #1	bar	Unknown	1999	2	5296.0891	2685.85	4235.44	2410.44
-Children	importoexporti #1	able	Unknown	1999	5	4586.2983	1982.77	2837.74	2643.58
-Music	exportischolar #1	able	Unknown	1999	4	5090.1050	2488.24	2966.36	2281.80
-Shoes	importoedu pack #1	able	Unknown	1999	7	4700.9116	2100.12	2533.01	5888.57
-Music	edu packscholar #1	bar	Unknown	1999	2	5484.7891	2903.45	3410.13	3024.86
-Shoes	exportiedu pack #1	ation	Unknown	1999	3	4873.5108	2300.45	2797.30	2302.76
-Shoes	exportiedu pack #1	ation	Unknown	1999	4	4873.5108	2302.76	2300.45	2170.98
-Shoes	importoedu pack #1	bar	Unknown	1999	3	4794.6791	2225.70	2756.97	2413.76
-Music	edu packscholar #1	ought	Unknown	1999	5	5552.3050	2985.49	3241.69	4081.99
-Music	edu packscholar #1	eing	Unknown	1999	3	5539.3083	2973.01	3069.18	3862.34
-Shoes	amalgedu pack #1	eing	Unknown	1999	7	4706.5441	2143.18	2458.07	5967.73
-Children	exportiexporti #1	ought	Unknown	1999	5	5018.2791	2458.03	3467.53	2683.61
-Children	exportiexporti #1	able	Unknown	1999	4	4955.2416	2395.57	3097.63	2230.80
-Children	exportiexporti #1	eing	Unknown	1999	2	5109.6541	2550.30	4039.10	2685.10
-Music	exportischolar #1	ought	Unknown	1999	4	5079.1825	2520.64	3233.50	3079.89
-Women	edu packamalg #1	ation	Unknown	1999	2	4507.4175	1951.42	4166.02	2865.38
-Women	amalgamalg #1	ought	Unknown	1999	1	4619.7075	2065.94	9639.59	2521.70
-Music	importoscholar #1	ought	Unknown	1999	3	4004.4483	1456.84	2438.63	2790.03
-Shoes	edu packedu pack #1	eing	Unknown	1999	5	4664.8616	2122.71	3131.02	2852.96
-Women	importoamalg #1	bar	Unknown	1999	3	4437.2108	1895.27	2678.48	2999.04
-Music	exportischolar #1	able	Unknown	1999	2	5090.1050	2550.48	3702.29	2966.36
-Music	edu packscholar #1	able	Unknown	1999	1	5335.9083	2796.97	13360.68	3413.22
-Children	exportiexporti #1	eing	Unknown	1999	4	5109.6541	2574.12	2685.10	2672.73
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q48.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q48.out
deleted file mode 100644
index b0985aec1f..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q48.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q48 --
-26257
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q49.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q49.out
deleted file mode 100644
index 5d52ab6265..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q49.out
+++ /dev/null
@@ -1,35 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q49 --
-catalog	17543	0.5714	1	1
-catalog	14513	0.6354	2	2
-catalog	12577	0.6559	3	3
-catalog	3411	0.7164	4	4
-catalog	361	0.7464	5	5
-catalog	8189	0.7469	6	6
-catalog	8929	0.7625	7	7
-catalog	14869	0.7717	8	8
-catalog	9295	0.7789	9	9
-catalog	16215	0.7906	10	10
-store	9471	0.7750	1	1
-store	9797	0.8000	2	2
-store	12641	0.8160	3	3
-store	15839	0.8163	4	4
-store	1171	0.8241	5	5
-store	11589	0.8265	6	6
-store	6661	0.9220	7	7
-store	13013	0.9420	8	8
-store	14925	0.9647	9	9
-store	4063	1.0000	10	10
-store	9029	1.0000	10	10
-web	7539	0.5900	1	1
-web	3337	0.6265	2	2
-web	15597	0.6619	3	3
-web	2915	0.6986	4	4
-web	11933	0.7171	5	5
-web	3305	0.7375	6	16
-web	483	0.8000	7	6
-web	85	0.8571	8	7
-web	97	0.9036	9	8
-web	117	0.9250	10	9
-web	5299	0.9270	11	10
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q49_rewrite.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q49_rewrite.out
deleted file mode 100644
index 9e806d0ec5..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q49_rewrite.out
+++ /dev/null
@@ -1,35 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q49_rewrite --
-catalog	17543	0.5714	1	1
-catalog	14513	0.6354	2	2
-catalog	12577	0.6559	3	3
-catalog	3411	0.7164	4	4
-catalog	361	0.7464	5	5
-catalog	8189	0.7469	6	6
-catalog	8929	0.7625	7	7
-catalog	14869	0.7717	8	8
-catalog	9295	0.7789	9	9
-catalog	16215	0.7906	10	10
-store	9471	0.7750	1	1
-store	9797	0.8000	2	2
-store	12641	0.8160	3	3
-store	15839	0.8163	4	4
-store	1171	0.8241	5	5
-store	11589	0.8265	6	6
-store	6661	0.9220	7	7
-store	13013	0.9420	8	8
-store	14925	0.9647	9	9
-store	4063	1.0000	10	10
-store	9029	1.0000	10	10
-web	7539	0.5900	1	1
-web	3337	0.6265	2	2
-web	15597	0.6619	3	3
-web	2915	0.6986	4	4
-web	11933	0.7171	5	5
-web	3305	0.7375	6	16
-web	483	0.8000	7	6
-web	85	0.8571	8	7
-web	97	0.9036	9	8
-web	117	0.9250	10	9
-web	5299	0.9270	11	10
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q50.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q50.out
deleted file mode 100644
index dc5e4051ee..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q50.out
+++ /dev/null
@@ -1,9 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q50 --
-able	1	255	Sycamore 	Dr.	Suite 410	Midway	Williamson County	TN	31904	67	48	61	66	98
-ation	1	811	Lee 	Circle	Suite T	Midway	Williamson County	TN	31904	70	51	50	61	109
-bar	1	175	4th 	Court	Suite C	Midway	Williamson County	TN	31904	96	53	55	76	86
-eing	1	226	12th 	Lane	Suite D	Fairview	Williamson County	TN	35709	69	63	62	63	114
-ese	1	27	Lake 	Ln	Suite 260	Midway	Williamson County	TN	31904	58	57	55	54	106
-ought	1	767	Spring 	Wy	Suite 250	Midway	Williamson County	TN	31904	81	63	52	58	103
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q51.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q51.out
deleted file mode 100644
index 5bd9b122e1..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q51.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q51 --
-14	2000-01-10	176.83	\N	176.83	73.60
-14	2000-01-21	\N	75.29	176.83	75.29
-14	2000-01-29	222.33	\N	222.33	75.29
-14	2000-02-02	224.01	\N	224.01	75.29
-14	2000-02-08	\N	85.07	224.01	85.07
-14	2000-02-19	\N	98.60	224.01	98.60
-14	2000-02-21	241.64	\N	241.64	98.60
-14	2000-02-22	\N	99.83	241.64	99.83
-14	2000-03-18	\N	112.82	241.64	112.82
-14	2000-03-23	251.15	\N	251.15	112.82
-14	2000-03-28	260.17	\N	260.17	112.82
-14	2000-03-31	370.74	\N	370.74	112.82
-14	2000-04-05	\N	115.94	370.74	115.94
-14	2000-04-15	445.30	\N	445.30	115.94
-14	2000-04-27	\N	151.48	445.30	151.48
-14	2000-05-03	\N	176.89	445.30	176.89
-14	2000-05-10	451.40	\N	451.40	176.89
-14	2000-05-21	\N	238.39	451.40	238.39
-14	2000-05-26	596.81	\N	596.81	238.39
-14	2000-05-29	\N	242.51	596.81	242.51
-14	2000-06-05	\N	304.64	596.81	304.64
-14	2000-07-03	623.77	\N	623.77	304.64
-14	2000-07-07	\N	307.77	623.77	307.77
-14	2000-07-18	\N	320.04	623.77	320.04
-14	2000-07-25	673.08	\N	673.08	320.04
-14	2000-08-10	\N	411.48	673.08	411.48
-14	2000-08-14	\N	465.85	673.08	465.85
-14	2000-08-21	\N	541.45	673.08	541.45
-14	2000-08-26	\N	574.56	673.08	574.56
-19	2000-01-02	56.96	49.68	56.96	49.68
-25	2000-01-21	97.29	\N	97.29	4.49
-25	2000-01-28	192.46	\N	192.46	4.49
-25	2000-02-09	\N	24.23	192.46	24.23
-25	2000-02-11	\N	98.99	192.46	98.99
-25	2000-02-21	\N	170.60	192.46	170.60
-25	2000-02-22	\N	185.05	192.46	185.05
-35	2000-01-14	\N	55.24	177.88	55.24
-35	2000-01-16	\N	95.92	177.88	95.92
-35	2000-01-18	\N	126.45	177.88	126.45
-35	2000-01-19	\N	167.07	177.88	167.07
-35	2000-02-17	\N	173.97	177.88	173.97
-35	2000-02-22	270.43	\N	270.43	173.97
-35	2000-02-23	\N	180.61	270.43	180.61
-35	2000-03-03	\N	181.99	270.43	181.99
-35	2000-03-05	\N	221.24	270.43	221.24
-35	2000-03-06	\N	266.41	270.43	266.41
-37	2000-01-02	31.75	11.89	31.75	11.89
-37	2000-01-04	\N	17.15	31.75	17.15
-37	2000-01-05	34.34	\N	34.34	17.15
-37	2000-01-06	\N	29.67	34.34	29.67
-41	2000-01-21	\N	15.54	123.34	15.54
-41	2000-02-03	\N	21.04	123.34	21.04
-41	2000-02-16	\N	33.46	123.34	33.46
-41	2000-02-20	\N	37.46	123.34	37.46
-41	2000-02-22	\N	58.57	123.34	58.57
-41	2000-03-05	\N	70.06	123.34	70.06
-41	2000-03-17	178.84	150.76	178.84	150.76
-41	2000-04-26	263.14	\N	263.14	254.88
-41	2000-07-12	474.83	\N	474.83	393.87
-41	2000-07-18	\N	421.23	474.83	421.23
-41	2000-08-15	\N	430.77	474.83	430.77
-49	2000-01-18	\N	2.51	4.58	2.51
-49	2000-01-31	72.47	\N	72.47	13.05
-49	2000-02-13	\N	70.68	72.47	70.68
-49	2000-02-29	\N	71.86	72.47	71.86
-49	2000-04-17	225.29	\N	225.29	219.03
-53	2000-01-02	12.85	1.13	12.85	1.13
-53	2000-01-08	119.24	\N	119.24	1.13
-53	2000-01-09	126.98	\N	126.98	1.13
-53	2000-01-15	\N	3.20	126.98	3.20
-53	2000-02-04	\N	22.89	126.98	22.89
-53	2000-02-05	\N	64.45	126.98	64.45
-53	2000-02-12	\N	66.06	126.98	66.06
-56	2000-01-02	41.57	17.31	41.57	17.31
-61	2000-02-17	421.60	\N	421.60	344.03
-61	2000-03-01	\N	411.33	421.60	411.33
-61	2000-04-22	600.20	\N	600.20	573.28
-71	2000-01-02	13.92	2.88	13.92	2.88
-85	2000-02-03	\N	42.30	65.50	42.30
-85	2000-02-16	\N	42.95	65.50	42.95
-85	2000-04-19	335.16	\N	335.16	247.67
-85	2000-04-23	\N	252.83	335.16	252.83
-85	2000-05-02	\N	289.65	335.16	289.65
-85	2000-05-11	\N	312.62	335.16	312.62
-86	2000-01-19	31.70	\N	31.70	25.97
-86	2000-02-03	151.26	\N	151.26	91.16
-86	2000-02-04	\N	112.15	151.26	112.15
-89	2000-01-12	\N	28.84	181.56	28.84
-89	2000-01-23	\N	67.19	181.56	67.19
-89	2000-01-30	\N	104.65	181.56	104.65
-89	2000-02-22	\N	146.96	181.56	146.96
-89	2000-02-25	\N	147.02	181.56	147.02
-89	2000-03-19	\N	172.85	181.56	172.85
-89	2000-03-20	191.66	\N	191.66	172.85
-89	2000-04-11	295.81	\N	295.81	172.85
-89	2000-04-13	\N	203.86	295.81	203.86
-89	2000-04-20	373.30	\N	373.30	203.86
-89	2000-04-23	\N	219.74	373.30	219.74
-89	2000-04-26	\N	235.97	373.30	235.97
-89	2000-05-04	\N	248.05	373.30	248.05
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q52.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q52.out
deleted file mode 100644
index 7f4191386b..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q52.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q52 --
-2000	2001002	amalgimporto #2	133668.20
-2000	1003001	exportiamalg #1	85038.62
-2000	3002002	importoexporti #2	79104.47
-2000	3004002	edu packexporti #2	78772.08
-2000	3003001	exportiexporti #1	67105.01
-2000	2004002	edu packimporto #2	65904.27
-2000	4001002	amalgedu pack #2	56283.13
-2000	5002002	importoscholar #2	54390.12
-2000	7016001	corpnameless #1	51331.65
-2000	2002001	importoimporto #1	50831.66
-2000	7001005	amalgbrand #5	50727.31
-2000	9015009	scholarunivamalg #9	49522.53
-2000	5004002	edu packscholar #2	45205.15
-2000	4003001	exportiedu pack #1	42810.52
-2000	5001002	amalgscholar #2	42061.33
-2000	1003002	exportiamalg #2	41130.32
-2000	2003002	exportiimporto #2	39318.67
-2000	7007004	brandbrand #4	38993.74
-2000	1002002	importoamalg #2	38952.02
-2000	8003010	exportinameless #10	37010.51
-2000	1002001	importounivamalg #1	36393.47
-2000	4002001	scholarmaxi #6	34103.67
-2000	1001002	amalgamalg #2	32518.42
-2000	4004002	edu packedu pack #2	32114.76
-2000	5001001	edu packexporti #2	31507.22
-2000	6005005	edu packnameless #8	31445.28
-2000	1001001	amalgamalg #1	31305.49
-2000	4002001	importoedu pack #1	31248.26
-2000	6005001	scholarcorp #1	30955.09
-2000	1004001	edu packamalg #1	30464.10
-2000	7009004	maxibrand #4	29127.01
-2000	10010013	univamalgamalg #13	29071.87
-2000	6012008	importobrand #8	28799.91
-2000	8005009	corpnameless #10	28231.03
-2000	5003001	exportischolar #1	27336.64
-2000	5001001	brandunivamalg #11	26418.90
-2000	3001002	amalgexporti #2	25858.35
-2000	4004001	edu packedu pack #1	25715.17
-2000	7009009	exportibrand #10	25380.68
-2000	4004001	maxinameless #8	23992.40
-2000	10014001	maxibrand #4	23662.09
-2000	10009015	maxiunivamalg #15	23576.97
-2000	3003001	exportiedu pack #2	21959.63
-2000	10004004	edu packunivamalg #4	21950.07
-2000	3002001	importoexporti #1	21677.43
-2000	1004002	edu packamalg #2	21563.27
-2000	2002002	importoimporto #2	21502.53
-2000	2001001	importoimporto #2	21106.22
-2000	9012003	importounivamalg #3	21075.27
-2000	3003002	exportiexporti #2	20711.54
-2000	10015013	scholaramalgamalg #13	20610.41
-2000	7010005	corpunivamalg #6	19821.13
-2000	4003001	exportischolar #2	19693.88
-2000	9012008	importounivamalg #8	19463.65
-2000	7010009	univnameless #9	19176.91
-2000	7008004	namelessbrand #4	19128.07
-2000	2003001	exportiimporto #1	19074.52
-2000	6008005	namelesscorp #5	19067.51
-2000	3004001	edu packexporti #1	18504.78
-2000	5001001	exportinameless #8	18493.00
-2000	10003016	exportiunivamalg #16	18413.97
-2000	3001001	maxibrand #8	18290.52
-2000	8003007	edu packnameless #8	18265.99
-2000	7016007	corpnameless #7	18103.37
-2000	5003002	exportischolar #2	17930.96
-2000	8016004	corpmaxi #4	17828.86
-2000	2004001	importoexporti #2	17646.57
-2000	10004012	edu packunivamalg #12	17608.05
-2000	8002009	importonameless #9	17513.05
-2000	7004009	importoimporto #2	17312.88
-2000	2004001	edu packunivamalg #8	17084.17
-2000	9014006	edu packunivamalg #6	16958.88
-2000	9015011	exportiamalg #2	15875.77
-2000	10004005	importounivamalg #6	15258.42
-2000	6008002	namelesscorp #2	15199.06
-2000	6004002	edu packcorp #2	14905.77
-2000	9013009	exportiunivamalg #9	14704.96
-2000	7012010	importonameless #10	14697.15
-2000	7013007	exportinameless #7	14068.62
-2000	7008009	namelessbrand #9	13759.65
-2000	7006007	edu packamalg #2	13705.14
-2000	10012004	importoamalgamalg #4	13514.95
-2000	6015006	scholarbrand #6	13421.39
-2000	10002012	importounivamalg #12	13080.55
-2000	9016003	corpunivamalg #3	12936.25
-2000	6002004	importocorp #4	12491.48
-2000	8004003	edu packnameless #3	12480.24
-2000	6011008	amalgbrand #8	12236.00
-2000	6003008	exporticorp #8	11621.79
-2000	8005008	scholarnameless #8	11609.84
-2000	4001001	amalgedu pack #1	11110.78
-2000	7009010	maxibrand #10	11061.00
-2000	3004001	edu packscholar #2	11025.47
-2000	7012001	amalgamalgamalg #2	10846.24
-2000	7016009	univnameless #10	10454.42
-2000	7014001	edu packnameless #1	9596.47
-2000	1002001	importoamalg #1	9579.28
-2000	8010004	univmaxi #4	9508.89
-2000	3001001	amalgexporti #1	9373.84
-2000	6010005	univbrand #5	9222.91
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q53.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q53.out
deleted file mode 100644
index a17b989006..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q53.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q53 --
-30	165.67	340.6350
-30	247.07	340.6350
-30	627.63	340.6350
-619	158.76	348.6400
-619	210.81	348.6400
-619	464.26	348.6400
-619	560.73	348.6400
-271	79.26	354.3300
-271	86.87	354.3300
-271	179.61	354.3300
-271	1071.58	354.3300
-827	82.44	356.5900
-827	320.05	356.5900
-827	666.52	356.5900
-296	188.61	369.1250
-296	265.76	369.1250
-296	655.24	369.1250
-308	200.28	385.9825
-308	214.07	385.9825
-308	489.17	385.9825
-308	640.41	385.9825
-486	178.80	400.5300
-486	455.08	400.5300
-486	468.01	400.5300
-486	500.23	400.5300
-554	191.48	407.9750
-554	346.80	407.9750
-554	660.97	407.9750
-208	151.84	410.3850
-208	207.02	410.3850
-208	533.75	410.3850
-208	748.93	410.3850
-662	199.83	412.1350
-662	300.61	412.1350
-662	460.94	412.1350
-662	687.16	412.1350
-394	264.65	413.4050
-394	272.02	413.4050
-394	674.12	413.4050
-221	183.63	416.0825
-221	534.62	416.0825
-221	552.44	416.0825
-621	232.20	418.1150
-621	624.80	418.1150
-507	76.98	419.4650
-507	505.36	419.4650
-507	644.24	419.4650
-316	36.25	423.0350
-316	158.85	423.0350
-316	697.32	423.0350
-316	799.72	423.0350
-56	110.81	423.0975
-56	371.77	423.0975
-56	500.77	423.0975
-56	709.04	423.0975
-517	194.87	426.2875
-517	313.41	426.2875
-517	482.41	426.2875
-517	714.46	426.2875
-411	364.09	426.8925
-411	519.60	426.8925
-247	313.42	427.6825
-247	353.08	427.6825
-247	628.37	427.6825
-652	228.75	434.7525
-652	314.98	434.7525
-652	365.90	434.7525
-652	829.38	434.7525
-129	301.69	436.4525
-129	325.26	436.4525
-129	550.47	436.4525
-129	568.39	436.4525
-99	164.24	438.6675
-99	183.75	438.6675
-99	393.58	438.6675
-99	1013.10	438.6675
-235	111.64	441.0300
-235	179.51	441.0300
-235	493.83	441.0300
-235	979.14	441.0300
-360	143.83	445.4150
-360	293.99	445.4150
-360	928.51	445.4150
-732	106.56	447.0650
-732	300.77	447.0650
-732	498.49	447.0650
-732	882.44	447.0650
-190	202.77	451.9825
-190	233.10	451.9825
-190	358.97	451.9825
-190	1013.09	451.9825
-147	212.53	455.8925
-147	366.10	455.8925
-147	553.92	455.8925
-147	691.02	455.8925
-665	283.25	456.0875
-665	357.22	456.0875
-665	691.20	456.0875
-85	325.28	456.2800
-85	350.10	456.2800
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q54.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q54.out
deleted file mode 100644
index 6c7cd2ac27..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q54.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q54 --
-11860	1	593000
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q55.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q55.out
deleted file mode 100644
index f8e863fc5e..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q55.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q55 --
-2001001	amalgimporto #1	128393.59
-5001001	amalgscholar #1	114563.05
-1001001	amalgamalg #1	106541.65
-5003001	exportischolar #1	104481.32
-1002001	importoamalg #1	98315.70
-5002001	importoscholar #1	81980.18
-4001001	amalgedu pack #1	75471.82
-5004001	edu packscholar #1	73945.27
-1004002	edu packamalg #2	66973.45
-3003001	exportiexporti #1	65256.40
-4003001	exportiedu pack #1	58980.05
-4002001	importoedu pack #1	52314.09
-5001002	amalgscholar #2	50720.91
-1001002	amalgamalg #2	48363.52
-1004001	edu packamalg #1	46127.07
-9013009	exportiunivamalg #9	44895.45
-2004001	edu packimporto #1	44063.02
-2002001	importoimporto #1	43360.76
-4001002	amalgedu pack #2	41578.64
-5002002	importoscholar #2	40981.69
-2004002	edu packimporto #2	37031.29
-10015011	scholaramalgamalg #11	36984.49
-5003002	exportischolar #2	36835.57
-1003001	exportiamalg #1	36391.68
-7009005	maxibrand #5	35893.23
-3001001	amalgexporti #1	34860.20
-6002002	importocorp #2	34241.20
-10014016	edu packamalgamalg #16	33635.08
-6005001	scholarcorp #1	33315.76
-8001003	amalgnameless #3	32795.69
-3001002	amalgexporti #2	32035.45
-7003005	exportibrand #5	30027.76
-8005010	scholarnameless #10	28072.90
-3004001	edu packexporti #1	27273.13
-4004002	edu packedu pack #2	27176.70
-9011009	amalgunivamalg #9	26702.81
-6011001	amalgbrand #1	26270.95
-9009002	maximaxi #2	25941.37
-8011009	amalgmaxi #9	24766.62
-6014007	edu packbrand #7	24592.55
-10016003	corpamalgamalg #3	24575.24
-3002001	importoexporti #1	24004.65
-3003002	exportiexporti #2	23607.27
-10005001	scholarunivamalg #1	22468.38
-6014001	edu packbrand #1	22383.40
-6006002	corpcorp #2	22325.52
-9003003	exportimaxi #3	21996.83
-8009003	maxinameless #3	21849.29
-8004009	edu packnameless #9	21775.18
-8006008	corpnameless #8	20393.22
-3002002	importoexporti #2	20292.13
-10004001	edu packunivamalg #1	20237.13
-8006005	corpnameless #5	19946.01
-2003001	exportiimporto #1	19467.87
-8010006	univmaxi #6	19389.31
-2001002	amalgimporto #2	19388.05
-6015001	scholarbrand #1	19136.97
-10015001	scholaramalgamalg #1	18789.40
-9016009	corpunivamalg #9	18671.29
-8009007	maxinameless #7	18581.52
-6002001	importocorp #1	18495.43
-6013005	exportibrand #5	18356.01
-7002004	importobrand #4	18040.61
-6008001	namelesscorp #1	17727.46
-9008008	namelessmaxi #8	17517.04
-8002010	importonameless #10	16810.57
-6013007	exportibrand #7	16727.14
-7015003	scholarnameless #3	16482.66
-4002002	importoedu pack #2	16426.77
-10006001	corpunivamalg #1	15835.02
-7006010	corpbrand #10	15745.12
-8013007	exportimaxi #7	15718.95
-9005011	scholarmaxi #11	15426.87
-7011009	amalgnameless #9	15381.64
-6009008	maxicorp #8	15232.66
-10012012	importoamalgamalg #12	14995.50
-10006017	corpunivamalg #17	14040.95
-9016003	corpunivamalg #3	13412.20
-6015005	scholarbrand #5	13026.37
-8004003	edu packnameless #3	12978.96
-1003002	exportiamalg #2	12479.78
-7015007	scholarnameless #7	11804.43
-6014008	edu packbrand #8	11413.01
-6015003	scholarbrand #3	11218.72
-6009003	maxicorp #3	11124.10
-2003002	exportiimporto #2	10938.52
-6011006	amalgbrand #6	10284.31
-6008008	namelesscorp #8	10056.32
-6001005	amalgcorp #5	9749.25
-9004008	edu packmaxi #8	9443.32
-6003006	exporticorp #6	9165.48
-10011013	amalgamalgamalg #13	8336.80
-10013009	exportiamalgamalg #9	8324.62
-6006006	corpcorp #6	8284.80
-8013006	exportimaxi #6	7794.40
-8012005	importomaxi #5	7777.35
-9011003	amalgunivamalg #3	7703.20
-6005003	scholarcorp #3	6941.66
-9011008	amalgunivamalg #8	6554.12
-9005002	scholarmaxi #2	5871.46
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q56.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q56.out
deleted file mode 100644
index 539b47de47..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q56.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q56 --
-AAAAAAAANEFAAAAA	\N
-AAAAAAAAOHICAAAA	\N
-AAAAAAAACENDAAAA	0.00
-AAAAAAAAEPDEAAAA	0.00
-AAAAAAAAIGBEAAAA	0.00
-AAAAAAAAFBGBAAAA	3.52
-AAAAAAAAINHBAAAA	7.28
-AAAAAAAAMBGAAAAA	8.52
-AAAAAAAAEOIDAAAA	14.02
-AAAAAAAAALIBAAAA	48.62
-AAAAAAAAEDDAAAAA	48.80
-AAAAAAAAHOBDAAAA	49.50
-AAAAAAAAMGCCAAAA	51.84
-AAAAAAAAGBEAAAAA	54.53
-AAAAAAAACKAEAAAA	66.30
-AAAAAAAAKHOAAAAA	72.72
-AAAAAAAANFPBAAAA	74.48
-AAAAAAAAOFMBAAAA	83.22
-AAAAAAAAKHMCAAAA	105.44
-AAAAAAAAFOCEAAAA	105.98
-AAAAAAAAENCBAAAA	109.20
-AAAAAAAANGIBAAAA	111.00
-AAAAAAAADGDEAAAA	121.74
-AAAAAAAAEPADAAAA	126.08
-AAAAAAAAINHAAAAA	127.92
-AAAAAAAAHKJCAAAA	129.84
-AAAAAAAAOLFBAAAA	132.16
-AAAAAAAAPLEBAAAA	135.34
-AAAAAAAAOHKDAAAA	136.36
-AAAAAAAAEHOAAAAA	153.54
-AAAAAAAAGJABAAAA	172.50
-AAAAAAAAOCCBAAAA	200.93
-AAAAAAAAGGFAAAAA	235.20
-AAAAAAAAKIKBAAAA	236.95
-AAAAAAAAMIOBAAAA	238.92
-AAAAAAAAIPODAAAA	240.96
-AAAAAAAACPDCAAAA	265.33
-AAAAAAAAMKCEAAAA	268.37
-AAAAAAAAKMPAAAAA	283.53
-AAAAAAAACIBAAAAA	297.76
-AAAAAAAAEIACAAAA	332.80
-AAAAAAAAOGEEAAAA	339.65
-AAAAAAAAMFMDAAAA	351.12
-AAAAAAAAGHBCAAAA	359.90
-AAAAAAAAIGDCAAAA	371.79
-AAAAAAAACHLCAAAA	410.56
-AAAAAAAAGMBDAAAA	418.46
-AAAAAAAAIJMCAAAA	422.10
-AAAAAAAAEJLBAAAA	442.50
-AAAAAAAANDHCAAAA	460.07
-AAAAAAAAAFNBAAAA	460.32
-AAAAAAAAKDGDAAAA	479.88
-AAAAAAAAKKNCAAAA	494.48
-AAAAAAAAJAJBAAAA	518.30
-AAAAAAAACCOBAAAA	522.92
-AAAAAAAAAEKAAAAA	525.52
-AAAAAAAAKJBDAAAA	527.15
-AAAAAAAAGHEDAAAA	538.85
-AAAAAAAAACGCAAAA	562.68
-AAAAAAAAAEGAAAAA	572.32
-AAAAAAAAEKLBAAAA	572.32
-AAAAAAAAAHCBAAAA	604.38
-AAAAAAAALFADAAAA	606.67
-AAAAAAAAKFNDAAAA	617.96
-AAAAAAAAOEKAAAAA	619.39
-AAAAAAAAEEBEAAAA	626.40
-AAAAAAAAKMBCAAAA	628.95
-AAAAAAAAJHGDAAAA	631.81
-AAAAAAAAOMLDAAAA	631.89
-AAAAAAAAGNDDAAAA	645.99
-AAAAAAAAEADAAAAA	648.20
-AAAAAAAAKPKCAAAA	651.42
-AAAAAAAAAKHCAAAA	657.04
-AAAAAAAAOEIDAAAA	660.24
-AAAAAAAAMKAEAAAA	691.02
-AAAAAAAABLKAAAAA	691.26
-AAAAAAAADEIBAAAA	726.72
-AAAAAAAAKBHCAAAA	730.20
-AAAAAAAADNJAAAAA	731.92
-AAAAAAAAOFPBAAAA	737.28
-AAAAAAAACPIBAAAA	737.64
-AAAAAAAAEPPBAAAA	759.36
-AAAAAAAALNHDAAAA	761.60
-AAAAAAAAGKPDAAAA	773.56
-AAAAAAAAKBCAAAAA	775.30
-AAAAAAAAIBOCAAAA	777.48
-AAAAAAAAOJBEAAAA	777.84
-AAAAAAAAKFKBAAAA	780.41
-AAAAAAAAPJCCAAAA	783.00
-AAAAAAAACAKBAAAA	800.27
-AAAAAAAAOFNDAAAA	806.19
-AAAAAAAAGLIDAAAA	843.75
-AAAAAAAAGDBAAAAA	868.77
-AAAAAAAAOGFDAAAA	887.30
-AAAAAAAACOLBAAAA	918.96
-AAAAAAAAFFNCAAAA	923.35
-AAAAAAAACCJDAAAA	955.08
-AAAAAAAAMMCAAAAA	959.76
-AAAAAAAACCPDAAAA	971.77
-AAAAAAAAKNCEAAAA	998.60
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q57.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q57.out
deleted file mode 100644
index f75ea388db..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q57.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q57 --
-Shoes	importoedu pack #1	North Midwest	1999	3	7101.7800	2518.33	5264.86	3066.29
-Men	edu packimporto #1	NY Metro	1999	4	7659.2416	3227.88	4759.01	4664.83
-Music	amalgscholar #1	Mid Atlantic	1999	1	6659.4933	2291.60	14178.45	4267.08
-Men	edu packimporto #1	NY Metro	1999	7	7659.2416	3327.90	4566.86	11656.06
-Men	importoimporto #1	North Midwest	1999	5	7640.4916	3327.30	3534.12	5530.63
-Music	edu packscholar #1	Mid Atlantic	1999	1	8223.7191	3965.88	14493.32	4943.68
-Women	amalgamalg #1	Mid Atlantic	1999	2	7116.3283	2872.43	4945.20	2974.14
-Music	exportischolar #1	NY Metro	1999	3	7047.8033	2832.46	4308.87	3265.21
-Children	importoexporti #1	NY Metro	1999	4	6809.5958	2648.85	5318.02	4111.73
-Children	importoexporti #1	Mid Atlantic	1999	5	6832.8216	2687.17	3971.76	4235.84
-Music	edu packscholar #1	North Midwest	1999	1	8078.6900	3934.06	17002.72	4244.46
-Women	amalgamalg #1	Mid Atlantic	1999	3	7116.3283	2974.14	2872.43	4329.06
-Music	edu packscholar #1	Mid Atlantic	1999	4	8223.7191	4091.54	5753.94	4797.32
-Men	importoimporto #1	NY Metro	1999	2	7530.9975	3406.53	5839.59	6125.77
-Men	edu packimporto #1	North Midwest	1999	3	7852.6275	3737.23	4465.92	3831.92
-Shoes	edu packedu pack #1	North Midwest	1999	5	6583.3050	2474.01	3684.23	4335.58
-Men	importoimporto #1	North Midwest	1999	4	7640.4916	3534.12	4291.30	3327.30
-Children	amalgexporti #1	NY Metro	1999	7	6518.7508	2430.77	3203.23	7867.12
-Music	amalgscholar #1	North Midwest	1999	5	6876.8808	2816.26	4637.07	3528.80
-Shoes	importoedu pack #1	North Midwest	1999	4	7101.7800	3066.29	2518.33	5005.85
-Shoes	edu packedu pack #1	NY Metro	1999	2	6421.7925	2394.57	3149.35	4472.43
-Music	edu packscholar #1	NY Metro	1999	7	7966.5791	3944.74	5030.35	10791.61
-Men	edu packimporto #1	North Midwest	1999	4	7852.6275	3831.92	3737.23	4353.90
-Shoes	importoedu pack #1	Mid Atlantic	1999	3	6959.9341	2951.09	4142.26	3271.07
-Men	amalgimporto #1	NY Metro	1999	7	7082.1291	3075.18	5231.88	8953.66
-Shoes	amalgedu pack #1	NY Metro	1999	7	6904.6891	2902.26	4942.02	8793.71
-Men	importoimporto #1	Mid Atlantic	1999	1	7357.0608	3356.15	11222.19	3770.17
-Children	exportiexporti #1	NY Metro	1999	7	7698.3408	3714.25	4686.40	9752.38
-Children	exportiexporti #1	North Midwest	1999	3	7530.3750	3586.50	3960.74	3916.86
-Children	amalgexporti #1	NY Metro	1999	4	6518.7508	2587.68	4177.93	3342.60
-Music	edu packscholar #1	North Midwest	1999	5	8078.6900	4148.83	5184.39	5483.81
-Children	exportiexporti #1	Mid Atlantic	1999	3	7245.2850	3350.65	3876.83	5869.66
-Children	exportiexporti #1	North Midwest	1999	1	7530.3750	3645.95	13367.51	3960.74
-Shoes	exportiedu pack #1	Mid Atlantic	1999	2	6885.3208	3013.95	4139.82	4328.03
-Children	importoexporti #1	North Midwest	1999	7	6690.0916	2827.63	3965.68	7733.16
-Music	edu packscholar #1	North Midwest	1999	2	8078.6900	4244.46	3934.06	4448.50
-Men	edu packimporto #1	Mid Atlantic	1999	1	7912.5375	4082.68	14333.30	4383.51
-Children	exportiexporti #1	NY Metro	1999	3	7698.3408	3883.01	4723.97	4590.03
-Music	exportischolar #1	Mid Atlantic	1999	2	7243.9941	3430.04	3662.97	3617.09
-Music	exportischolar #1	NY Metro	1999	1	7047.8033	3237.56	15805.49	4308.87
-Music	exportischolar #1	NY Metro	1999	4	7047.8033	3265.21	2832.46	3885.17
-Music	exportischolar #1	North Midwest	1999	2	7593.9291	3821.24	4748.20	4271.45
-Men	edu packimporto #1	Mid Atlantic	1999	4	7912.5375	4144.67	4954.05	5070.06
-Music	amalgscholar #1	NY Metro	1999	4	6926.0608	3165.20	4688.23	4286.05
-Shoes	amalgedu pack #1	Mid Atlantic	1999	3	6642.0858	2928.82	3648.57	3892.32
-Music	edu packscholar #1	NY Metro	1999	3	7966.5791	4269.89	4384.51	4452.73
-Men	amalgimporto #1	NY Metro	1999	2	7082.1291	3392.25	4549.47	3653.84
-Shoes	importoedu pack #1	Mid Atlantic	1999	4	6959.9341	3271.07	2951.09	4231.88
-Music	amalgscholar #1	North Midwest	1999	3	6876.8808	3190.36	3536.29	4637.07
-Women	importoamalg #1	Mid Atlantic	1999	1	6479.2983	2804.94	13543.31	3515.21
-Shoes	amalgedu pack #1	North Midwest	1999	6	6829.9566	3178.20	4120.60	5910.98
-Men	amalgimporto #1	NY Metro	1999	4	7082.1291	3450.11	3653.84	5965.16
-Women	edu packamalg #1	NY Metro	1999	4	6608.4858	2976.95	3489.35	3812.22
-Music	edu packscholar #1	North Midwest	1999	3	8078.6900	4448.50	4244.46	5184.39
-Music	amalgscholar #1	Mid Atlantic	1999	7	6659.4933	3031.62	4214.81	9493.69
-Music	exportischolar #1	Mid Atlantic	1999	3	7243.9941	3617.09	3430.04	3871.67
-Men	importoimporto #1	NY Metro	1999	7	7530.9975	3913.80	4405.46	7859.96
-Children	exportiexporti #1	North Midwest	1999	4	7530.3750	3916.86	3586.50	4747.06
-Children	importoexporti #1	NY Metro	1999	2	6809.5958	3200.10	4421.85	5318.02
-Men	importoimporto #1	Mid Atlantic	1999	2	7357.0608	3770.17	3356.15	5114.32
-Children	amalgexporti #1	North Midwest	1999	2	6557.5775	2975.00	3418.40	5079.56
-Music	edu packscholar #1	NY Metro	1999	2	7966.5791	4384.51	5279.09	4269.89
-Music	exportischolar #1	Mid Atlantic	1999	1	7243.9941	3662.97	14285.88	3430.04
-Children	exportiexporti #1	North Midwest	1999	2	7530.3750	3960.74	3645.95	3586.50
-Men	amalgimporto #1	Mid Atlantic	1999	1	6611.3358	3066.19	11053.20	3203.24
-Women	edu packamalg #1	Mid Atlantic	1999	4	6061.2108	2522.22	2674.89	3975.90
-Shoes	exportiedu pack #1	North Midwest	1999	4	7045.1641	3509.17	5252.01	3987.99
-Men	edu packimporto #1	North Midwest	1999	1	7852.6275	4318.23	16397.10	4465.92
-Men	edu packimporto #1	Mid Atlantic	1999	2	7912.5375	4383.51	4082.68	4954.05
-Music	edu packscholar #1	NY Metro	1999	4	7966.5791	4452.73	4269.89	5476.13
-Children	importoexporti #1	Mid Atlantic	1999	1	6832.8216	3330.21	13097.88	3496.46
-Men	edu packimporto #1	North Midwest	1999	5	7852.6275	4353.90	3831.92	5689.03
-Women	exportiamalg #1	Mid Atlantic	1999	2	6013.0883	2536.08	3406.41	3718.65
-Music	exportischolar #1	North Midwest	1999	4	7593.9291	4121.47	4271.45	5234.85
-Music	amalgscholar #1	North Midwest	1999	1	6876.8808	3406.89	13714.11	3536.29
-Men	importoimporto #1	NY Metro	1999	4	7530.9975	4062.17	6125.77	4715.58
-Men	exportiimporto #1	North Midwest	1999	5	5797.3825	2330.52	2965.11	2842.02
-Children	edu packexporti #1	Mid Atlantic	1999	3	6100.6433	2633.95	3676.43	3130.51
-Men	amalgimporto #1	North Midwest	1999	1	6713.8200	3268.58	13596.45	4098.03
-Women	exportiamalg #1	NY Metro	1999	4	6031.0425	2588.60	3554.29	3915.46
-Men	amalgimporto #1	NY Metro	1999	3	7082.1291	3653.84	3392.25	3450.11
-Music	edu packscholar #1	Mid Atlantic	1999	5	8223.7191	4797.32	4091.54	5028.71
-Children	exportiexporti #1	North Midwest	1999	6	7530.3750	4104.53	4747.06	4586.73
-Women	importoamalg #1	NY Metro	1999	4	6352.6825	2928.62	3718.55	3387.14
-Men	edu packimporto #1	NY Metro	1999	2	7659.2416	4246.37	4489.63	4759.01
-Shoes	edu packedu pack #1	Mid Atlantic	1999	3	6578.7858	3166.49	4213.93	4376.74
-Shoes	amalgedu pack #1	North Midwest	1999	4	6829.9566	3417.69	3722.75	4120.60
-Women	exportiamalg #1	North Midwest	1999	3	6171.5441	2760.78	3853.84	3125.47
-Men	amalgimporto #1	Mid Atlantic	1999	2	6611.3358	3203.24	3066.19	4613.61
-Men	edu packimporto #1	North Midwest	1999	2	7852.6275	4465.92	4318.23	3737.23
-Women	edu packamalg #1	Mid Atlantic	1999	3	6061.2108	2674.89	3376.95	2522.22
-Music	exportischolar #1	NY Metro	1999	6	7047.8033	3667.60	3885.17	5088.70
-Children	importoexporti #1	North Midwest	1999	3	6690.0916	3310.89	3486.35	5014.28
-Music	exportischolar #1	Mid Atlantic	1999	4	7243.9941	3871.67	3617.09	4628.08
-Men	importoimporto #1	North Midwest	1999	2	7640.4916	4270.44	4931.98	4291.30
-Children	exportiexporti #1	Mid Atlantic	1999	2	7245.2850	3876.83	4799.92	3350.65
-Shoes	exportiedu pack #1	North Midwest	1999	7	7045.1641	3684.37	4372.20	8403.23
-Men	importoimporto #1	North Midwest	1999	3	7640.4916	4291.30	4270.44	3534.12
-Men	amalgimporto #1	Mid Atlantic	1999	4	6611.3358	3262.24	4613.61	4531.38
-Music	amalgscholar #1	North Midwest	1999	6	6876.8808	3528.80	2816.26	4750.85
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q58.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q58.out
deleted file mode 100644
index 6fe73aa755..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q58.out
+++ /dev/null
@@ -1,6 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q58 --
-AAAAAAAACNGBAAAA	1900.15	11.00	1950.92	11.00	1829.52	10.00	1893.53
-AAAAAAAAIDOAAAAA	6605.22	11.00	6078.33	10.00	6338.25	11.00	6340.60
-AAAAAAAAJMFCAAAA	3608.52	11.00	3590.47	11.00	3305.82	10.00	3501.60
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q59.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q59.out
deleted file mode 100644
index f83081cd25..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q59.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q59 --
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5271	1.36	3.08	0.32	0.48	\N	0.75	1.84
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5272	1.09	0.75	0.68	0.98	\N	1.33	0.99
-able	AAAAAAAACAAAAAAA	5273	1.19	1.02	0.47	0.63	\N	1.49	0.57
-able	AAAAAAAACAAAAAAA	5273	1.19	1.02	0.47	0.63	\N	1.49	0.57
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q60.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q60.out
deleted file mode 100644
index 026adf666b..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q60.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q60 --
-AAAAAAAAAABBAAAA	6287.84
-AAAAAAAAAABEAAAA	1297.26
-AAAAAAAAAADCAAAA	8936.88
-AAAAAAAAAADEAAAA	20945.84
-AAAAAAAAAAHAAAAA	7227.38
-AAAAAAAAAANDAAAA	17117.56
-AAAAAAAAAAOCAAAA	4287.89
-AAAAAAAAABADAAAA	499.72
-AAAAAAAAABBCAAAA	22704.66
-AAAAAAAAABCEAAAA	22499.76
-AAAAAAAAABDEAAAA	5527.74
-AAAAAAAAABFBAAAA	4953.67
-AAAAAAAAABFEAAAA	12523.22
-AAAAAAAAABHCAAAA	20093.49
-AAAAAAAAABIBAAAA	382.30
-AAAAAAAAABICAAAA	1271.62
-AAAAAAAAABKCAAAA	7355.85
-AAAAAAAAABLBAAAA	786.05
-AAAAAAAAABNAAAAA	8385.94
-AAAAAAAAACACAAAA	11564.85
-AAAAAAAAACBEAAAA	13046.23
-AAAAAAAAACCDAAAA	14533.50
-AAAAAAAAACDCAAAA	820.49
-AAAAAAAAACLBAAAA	6761.17
-AAAAAAAAACNCAAAA	19023.15
-AAAAAAAAACODAAAA	7322.65
-AAAAAAAAADACAAAA	4696.41
-AAAAAAAAADBAAAAA	988.80
-AAAAAAAAADDCAAAA	5661.21
-AAAAAAAAADDEAAAA	1846.56
-AAAAAAAAADEEAAAA	15327.48
-AAAAAAAAADGEAAAA	4511.21
-AAAAAAAAADHDAAAA	27866.80
-AAAAAAAAADICAAAA	15624.49
-AAAAAAAAADLCAAAA	399.00
-AAAAAAAAADNDAAAA	6403.89
-AAAAAAAAADPCAAAA	4246.28
-AAAAAAAAAEBAAAAA	1946.34
-AAAAAAAAAEBCAAAA	2021.69
-AAAAAAAAAEBDAAAA	6664.64
-AAAAAAAAAECCAAAA	11363.72
-AAAAAAAAAECEAAAA	10198.96
-AAAAAAAAAEFCAAAA	62.04
-AAAAAAAAAEGDAAAA	9547.35
-AAAAAAAAAEIBAAAA	3804.21
-AAAAAAAAAEICAAAA	7097.51
-AAAAAAAAAEKCAAAA	20954.40
-AAAAAAAAAEPDAAAA	2162.31
-AAAAAAAAAFBEAAAA	10916.01
-AAAAAAAAAFCDAAAA	14657.18
-AAAAAAAAAFDCAAAA	794.73
-AAAAAAAAAFFAAAAA	9979.09
-AAAAAAAAAFHCAAAA	2060.61
-AAAAAAAAAFIAAAAA	705.60
-AAAAAAAAAFJCAAAA	13594.18
-AAAAAAAAAFMDAAAA	2354.86
-AAAAAAAAAFNBAAAA	17475.06
-AAAAAAAAAGBBAAAA	2052.41
-AAAAAAAAAGCCAAAA	8040.70
-AAAAAAAAAGCDAAAA	16455.28
-AAAAAAAAAGDCAAAA	2495.73
-AAAAAAAAAGDEAAAA	6750.35
-AAAAAAAAAGFAAAAA	5985.82
-AAAAAAAAAGHAAAAA	17532.15
-AAAAAAAAAGHDAAAA	1220.67
-AAAAAAAAAGJCAAAA	7564.93
-AAAAAAAAAGKAAAAA	14082.90
-AAAAAAAAAGKDAAAA	1891.00
-AAAAAAAAAGNBAAAA	7856.78
-AAAAAAAAAGOCAAAA	14920.31
-AAAAAAAAAGPCAAAA	7986.28
-AAAAAAAAAHCBAAAA	15074.94
-AAAAAAAAAHECAAAA	11667.69
-AAAAAAAAAHHDAAAA	2491.48
-AAAAAAAAAHJDAAAA	4056.95
-AAAAAAAAAHMAAAAA	15866.43
-AAAAAAAAAHNDAAAA	7289.53
-AAAAAAAAAIACAAAA	2603.30
-AAAAAAAAAIBCAAAA	9.09
-AAAAAAAAAIBEAAAA	6979.53
-AAAAAAAAAIDAAAAA	32.70
-AAAAAAAAAIDCAAAA	15307.29
-AAAAAAAAAIIAAAAA	11268.14
-AAAAAAAAAIIDAAAA	6837.36
-AAAAAAAAAIJCAAAA	28318.16
-AAAAAAAAAIMAAAAA	4013.06
-AAAAAAAAAINBAAAA	7691.92
-AAAAAAAAAINCAAAA	13190.42
-AAAAAAAAAIODAAAA	17489.85
-AAAAAAAAAIPDAAAA	6096.92
-AAAAAAAAAJAEAAAA	30169.62
-AAAAAAAAAJCCAAAA	17608.54
-AAAAAAAAAJGBAAAA	14.10
-AAAAAAAAAJJCAAAA	2763.55
-AAAAAAAAAJMBAAAA	1013.43
-AAAAAAAAAJMCAAAA	12220.00
-AAAAAAAAAJNBAAAA	8076.70
-AAAAAAAAAJODAAAA	5113.02
-AAAAAAAAAKBAAAAA	2413.44
-AAAAAAAAAKDAAAAA	15712.05
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q61.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q61.out
deleted file mode 100644
index fb326844b2..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q61.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q61 --
-2894229.70	5493575.41	52.6800
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q62.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q62.out
deleted file mode 100644
index 3e405e1e42..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q62.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q62 --
-	EXPRESS	site_0	260	283	296	314	0
-	EXPRESS	site_1	330	285	315	329	0
-	EXPRESS	site_2	283	291	318	333	0
-	EXPRESS	site_3	274	280	277	258	0
-	EXPRESS	site_4	247	244	268	259	0
-	LIBRARY	site_0	197	180	203	180	0
-	LIBRARY	site_1	208	205	185	211	0
-	LIBRARY	site_2	258	230	267	243	0
-	LIBRARY	site_3	243	204	241	252	0
-	LIBRARY	site_4	211	213	216	206	0
-	NEXT DAY	site_0	332	290	340	289	0
-	NEXT DAY	site_1	297	292	275	334	0
-	NEXT DAY	site_2	287	253	272	220	0
-	NEXT DAY	site_3	255	252	243	264	0
-	NEXT DAY	site_4	300	309	309	281	0
-	OVERNIGHT	site_0	242	224	226	237	0
-	OVERNIGHT	site_1	237	202	213	204	0
-	OVERNIGHT	site_2	172	182	158	181	0
-	OVERNIGHT	site_3	217	193	201	175	0
-	OVERNIGHT	site_4	231	251	249	237	0
-	REGULAR	site_0	227	216	199	193	0
-	REGULAR	site_1	239	209	254	246	0
-	REGULAR	site_2	235	241	259	219	0
-	REGULAR	site_3	204	212	185	237	0
-	REGULAR	site_4	171	176	182	163	0
-	TWO DAY	site_0	189	201	202	218	0
-	TWO DAY	site_1	199	170	177	174	0
-	TWO DAY	site_2	200	202	181	179	0
-	TWO DAY	site_3	237	234	233	253	0
-	TWO DAY	site_4	233	229	234	238	0
-Bad cards must make.	EXPRESS	site_0	251	248	268	277	0
-Bad cards must make.	EXPRESS	site_1	262	304	290	267	0
-Bad cards must make.	EXPRESS	site_2	287	290	293	286	0
-Bad cards must make.	EXPRESS	site_3	283	260	267	290	0
-Bad cards must make.	EXPRESS	site_4	281	310	309	321	0
-Bad cards must make.	LIBRARY	site_0	254	265	226	231	0
-Bad cards must make.	LIBRARY	site_1	198	231	211	201	0
-Bad cards must make.	LIBRARY	site_2	181	172	190	176	0
-Bad cards must make.	LIBRARY	site_3	196	214	173	226	0
-Bad cards must make.	LIBRARY	site_4	241	241	247	236	0
-Bad cards must make.	NEXT DAY	site_0	259	255	279	260	0
-Bad cards must make.	NEXT DAY	site_1	287	334	295	300	0
-Bad cards must make.	NEXT DAY	site_2	269	309	306	272	0
-Bad cards must make.	NEXT DAY	site_3	281	322	308	277	0
-Bad cards must make.	NEXT DAY	site_4	273	295	275	281	0
-Bad cards must make.	OVERNIGHT	site_0	221	216	201	213	0
-Bad cards must make.	OVERNIGHT	site_1	250	228	257	235	0
-Bad cards must make.	OVERNIGHT	site_2	255	223	230	238	0
-Bad cards must make.	OVERNIGHT	site_3	195	217	199	211	0
-Bad cards must make.	OVERNIGHT	site_4	175	165	169	164	0
-Bad cards must make.	REGULAR	site_0	176	239	220	233	0
-Bad cards must make.	REGULAR	site_1	187	163	200	198	0
-Bad cards must make.	REGULAR	site_2	190	231	195	208	0
-Bad cards must make.	REGULAR	site_3	227	241	231	252	0
-Bad cards must make.	REGULAR	site_4	258	245	260	245	0
-Bad cards must make.	TWO DAY	site_0	222	235	235	223	0
-Bad cards must make.	TWO DAY	site_1	264	248	237	227	0
-Bad cards must make.	TWO DAY	site_2	181	230	231	207	0
-Bad cards must make.	TWO DAY	site_3	182	158	209	185	0
-Bad cards must make.	TWO DAY	site_4	203	218	198	221	0
-Conventional childr	EXPRESS	site_0	311	308	336	287	0
-Conventional childr	EXPRESS	site_1	250	269	273	260	0
-Conventional childr	EXPRESS	site_2	255	280	235	276	0
-Conventional childr	EXPRESS	site_3	269	292	303	278	0
-Conventional childr	EXPRESS	site_4	275	324	268	330	0
-Conventional childr	LIBRARY	site_0	212	211	225	250	0
-Conventional childr	LIBRARY	site_1	218	249	244	204	0
-Conventional childr	LIBRARY	site_2	203	215	222	205	0
-Conventional childr	LIBRARY	site_3	163	181	180	193	0
-Conventional childr	LIBRARY	site_4	189	208	207	191	0
-Conventional childr	NEXT DAY	site_0	253	269	285	258	0
-Conventional childr	NEXT DAY	site_1	289	244	254	269	0
-Conventional childr	NEXT DAY	site_2	341	290	310	315	0
-Conventional childr	NEXT DAY	site_3	309	294	328	270	0
-Conventional childr	NEXT DAY	site_4	312	311	275	291	0
-Conventional childr	OVERNIGHT	site_0	180	193	167	211	0
-Conventional childr	OVERNIGHT	site_1	196	210	238	194	0
-Conventional childr	OVERNIGHT	site_2	218	236	287	220	0
-Conventional childr	OVERNIGHT	site_3	235	253	228	246	0
-Conventional childr	OVERNIGHT	site_4	211	199	201	201	0
-Conventional childr	REGULAR	site_0	209	262	232	207	0
-Conventional childr	REGULAR	site_1	214	218	222	227	0
-Conventional childr	REGULAR	site_2	166	193	184	183	0
-Conventional childr	REGULAR	site_3	195	191	221	219	0
-Conventional childr	REGULAR	site_4	248	236	244	256	0
-Conventional childr	TWO DAY	site_0	192	225	232	225	0
-Conventional childr	TWO DAY	site_1	248	239	233	251	0
-Conventional childr	TWO DAY	site_2	230	214	237	201	0
-Conventional childr	TWO DAY	site_3	236	190	190	222	0
-Conventional childr	TWO DAY	site_4	197	159	202	176	0
-Doors canno	EXPRESS	site_0	303	312	304	319	0
-Doors canno	EXPRESS	site_1	321	278	313	297	0
-Doors canno	EXPRESS	site_2	267	277	265	257	0
-Doors canno	EXPRESS	site_3	263	245	258	285	0
-Doors canno	EXPRESS	site_4	282	313	319	323	0
-Doors canno	LIBRARY	site_0	201	210	201	200	0
-Doors canno	LIBRARY	site_1	239	217	208	206	0
-Doors canno	LIBRARY	site_2	229	233	244	241	0
-Doors canno	LIBRARY	site_3	216	198	182	222	0
-Doors canno	LIBRARY	site_4	176	163	170	216	0
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q63.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q63.out
deleted file mode 100644
index cf62ab7545..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q63.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q63 --
-1	189.04	531.9191
-1	203.73	531.9191
-1	355.17	531.9191
-1	359.53	531.9191
-1	365.84	531.9191
-1	373.26	531.9191
-1	430.03	531.9191
-1	698.60	531.9191
-1	909.18	531.9191
-1	995.02	531.9191
-1	998.95	531.9191
-2	34.79	625.0316
-2	143.64	625.0316
-2	253.85	625.0316
-2	359.05	625.0316
-2	445.59	625.0316
-2	499.99	625.0316
-2	538.36	625.0316
-2	780.07	625.0316
-2	1487.82	625.0316
-2	1660.48	625.0316
-3	270.10	988.2933
-3	367.94	988.2933
-3	491.20	988.2933
-3	529.42	988.2933
-3	629.34	988.2933
-3	757.70	988.2933
-3	1161.47	988.2933
-3	1234.30	988.2933
-3	1251.01	988.2933
-3	1522.49	988.2933
-3	2624.04	988.2933
-5	353.24	1169.4825
-5	581.28	1169.4825
-5	694.79	1169.4825
-5	696.66	1169.4825
-5	740.99	1169.4825
-5	890.86	1169.4825
-5	955.61	1169.4825
-5	1359.61	1169.4825
-5	1712.35	1169.4825
-5	1794.66	1169.4825
-5	2080.16	1169.4825
-5	2173.58	1169.4825
-6	644.61	1772.9983
-6	851.23	1772.9983
-6	868.62	1772.9983
-6	1056.06	1772.9983
-6	1150.40	1772.9983
-6	1196.50	1772.9983
-6	1551.15	1772.9983
-6	2576.64	1772.9983
-6	2875.54	1772.9983
-6	3299.70	1772.9983
-6	3309.13	1772.9983
-7	638.30	1499.6575
-7	663.54	1499.6575
-7	779.65	1499.6575
-7	800.25	1499.6575
-7	811.54	1499.6575
-7	987.78	1499.6575
-7	1046.24	1499.6575
-7	1667.92	1499.6575
-7	2750.32	1499.6575
-7	2970.80	1499.6575
-7	3524.00	1499.6575
-8	803.53	1618.9541
-8	819.18	1618.9541
-8	933.76	1618.9541
-8	944.19	1618.9541
-8	1019.24	1618.9541
-8	1159.06	1618.9541
-8	1290.94	1618.9541
-8	2168.17	1618.9541
-8	2264.18	1618.9541
-8	3033.41	1618.9541
-8	3213.77	1618.9541
-9	315.31	1509.9775
-9	559.82	1509.9775
-9	728.72	1509.9775
-9	784.15	1509.9775
-9	923.36	1509.9775
-9	933.68	1509.9775
-9	1239.49	1509.9775
-9	1848.85	1509.9775
-9	2172.04	1509.9775
-9	2178.07	1509.9775
-9	3165.98	1509.9775
-9	3270.26	1509.9775
-10	314.30	1125.2591
-10	365.57	1125.2591
-10	591.30	1125.2591
-10	760.81	1125.2591
-10	776.91	1125.2591
-10	959.65	1125.2591
-10	975.25	1125.2591
-10	1294.20	1125.2591
-10	1342.05	1125.2591
-10	1914.64	1125.2591
-10	3105.53	1125.2591
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q64.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q64.out
deleted file mode 100644
index c76ef75049..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q64.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q64 --
-n stableableantiought	able	31904	987	Hillcrest 	Fairbanks	46653	216	3rd 	Reno	40344	1999	1	55.42	80.91	954.53	59.08	76.80	0.00	2000	1
-n stableableantiought	ation	31904	425	Green 	Enterprise	11757	772	Valley 			1999	1	16.24	25.17	0.00	7.92	11.80	0.00	2000	1
-n stableableantiought	ation	31904	425	Green 	Enterprise	11757	772	Valley 			1999	1	16.24	25.17	0.00	44.27	58.43	0.00	2000	1
-n stableableantiought	ation	31904	316	Valley Tenth	Pine Grove	74593	806	Wilson Main	Jackson	59583	1999	1	49.63	78.41	14.22	7.92	11.80	0.00	2000	1
-n stableableantiought	ation	31904	316	Valley Tenth	Pine Grove	74593	806	Wilson Main	Jackson	59583	1999	1	49.63	78.41	14.22	44.27	58.43	0.00	2000	1
-n stableableantiought	ation	31904	173	Park Maple	Sulphur Springs	68354	232	Franklin 	Fairfield	66192	1999	1	60.78	85.09	0.00	7.92	11.80	0.00	2000	1
-n stableableantiought	ation	31904	173	Park Maple	Sulphur Springs	68354	232	Franklin 	Fairfield	66192	1999	1	60.78	85.09	0.00	44.27	58.43	0.00	2000	1
-n stableableantiought	eing	35709	928	First Oak	Summit	40499	178	Johnson Hillcrest	Oakdale	59584	1999	1	63.82	121.25	0.00	10.25	12.09	0.00	2000	1
-n stableableantiought	eing	35709	928	First Oak	Summit	40499	178	Johnson Hillcrest	Oakdale	59584	1999	1	63.82	121.25	0.00	30.28	49.65	0.00	2000	1
-n stableableantiought	eing	35709	928	First Oak	Summit	40499	178	Johnson Hillcrest	Oakdale	59584	1999	1	63.82	121.25	0.00	58.19	85.53	0.00	2000	1
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q65.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q65.out
deleted file mode 100644
index 0988f07227..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q65.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q65 --
-able	Commercial, popular processes give later now wooden facts. Black, outer purposes examine national, precise heels. Invisible times s	36.06	5.25	1.68	amalgedu pack #1
-able	Conventional, responsible products discuss delicately then actual findings. Extremel	36.42	3.67	2.82	namelessnameless #5
-able	Difficulties wou	25.25	6.61	2.31	importobrand #7
-able	Efforts might come ever. Even agricultural operations live plus a members. Arts may ring too carefully numerous windows. In particular new ch	22.13	1.49	0.95	edu packamalg #2
-able	Even chief games can present privately extra whole steps. Over old reasons ought to 	21.58	4.30	1.41	namelesscorp #3
-able	Initial, important ministers used to rely. Young, difficult glasses cannot say european, religious organisations; worried minutes protect action	11.03	4.95	3.06	scholarnameless #7
-able	Once olympic sorts could control governments. Final sections mig	21.77	7.76	4.42	edu packscholar #1
-able	Small others will provide probably complete countries. Only effective pensions violate on board maybe left animals. Old r	26.38	2.55	1.60	maxiunivamalg #2
-able	Somehow revolutionary sh	31.09	7.10	3.05	amalgunivamalg #3
-able	Stupid years should not modify loose. Special, sure developments may	7.84	5.81	4.47	maxicorp #5
-able	Swiss, capable lovers handle at least present details. Over here uncomfortable stations take by a lips. Private organisations can supply in a examinatio	29.73	8.15	3.99	amalgedu pack #2
-able	Toys must not meet again goods. Comfortable, major members last days. Popular, double occupations may compensate researchers. Conditions 	25.02	3.35	2.41	edu packscholar #1
-able	Wrong, good values could not work in a minds. Normal structures correct here later massive boo	21.49	4.17	1.45	importoedu pack #1
-ation	Animals conduct primary, sorry tickets. Bare, labour matters used to buy between a patterns. Light authorities explain rules; future eggs can 	1.57	0.86	0.47	edu packamalg #1
-ation	Average services could try unfortunately plants; extensive procedures must	34.63	4.94	3.26	scholarunivamalg #2
-ation	Direct ways topple inches. Complex years can take also across a words. Stupid, global implications would provide sure things. Russians take much for the spots. Indoors local men w	16.06	7.18	4.88	exportiedu pack #1
-ation	Disciplinary signs could prepare particular, other councils. Live criteria ought to stand extra, basic bones. Local leaders tell now tasks. Most old recordings use ago in the governors; par	36.65	8.96	4.39	amalgscholar #2
-ation	Fair families ought to leave relationships. Separate, firm services would assist delicious, serious laws; a	15.31	7.51	2.70	importoamalg #1
-ation	Gradually general affairs come at a gardens. Members may liv	18.43	28.90	11.27	edu packamalgamalg #15
-ation	Here equivalent expectations should stop since to th	18.23	7.88	5.04	scholarunivamalg #4
-ation	Laws propose policies. Commercial, foreign restaurants could take. District	29.49	84.97	32.28	amalgnameless #5
-ation	New r	36.57	2.10	1.19	importoimporto #2
-ation	Officials calculate in the images. Military, olympic services throw apparently old photographs; exotic, wonderful children benefit	25.41	9.36	3.55	maxibrand #9
-ation	Open blue farmers reach useful, old arrangements. American, short years reach now tender, heavy neighbours. Now top boundaries would not enable emotions. Effectively specific 	28.75	2.34	2.01	exportinameless #7
-ation	Or	23.64	3.00	1.86	amalgedu pack #1
-ation	Pensions used to meet in the words. Very african obligati	27.27	0.54	0.27	exportiexporti #1
-ation	Public, limited pup	34.60	9.38	3.93	amalgmaxi #9
-ation	Small kinds would recognize notably violent, labour years. Electronic days would not	30.96	0.90	0.34	namelesscorp #3
-ation	Social, other resources may know reasonable, distant weeks. New, unexpected rates mean. White, electric generations carry together other t	36.10	3.91	2.54	maxinameless #10
-ation	Trustees grow well thereby national attitudes. Social, excellent bacteria contain permanent gaps. Only dynamic uses ought to halt very long, bright men; japanese, distin	3.96	3.31	2.87	exporticorp #1
-bar	Categories shall	18.32	8.98	7.81	scholarmaxi #9
-bar	Clear, top associations can activate all national factors. Items could think sure skills. Fine, thin classes must not help simply only statutory	28.26	6.27	4.57	brandbrand #10
-bar	Extended, local books calm now likely companies. Sometime rich instances improve spanish countries. Crucial flames take further. Rapidly big proposals may not photograph in the opt	12.64	0.55	0.19	namelessbrand #5
-bar	Hours must carry virtually new seats. Polish, happy affairs might get. Originally warm libraries operate real patients. Then soft scie	35.96	28.04	25.23	edu packedu pack #1
-bar	Individual flowers used to give thanks. Particular doubts refer a bit for a directions. Police could	8.31	1.74	1.21	exportiimporto #2
-bar	Low sorts understand. Vegetables must not carry. There legal rates shake so democratic styles. Convenient, single committees might forget	21.35	7.16	5.79	amalgedu pack #1
-bar	Minutes achieve however for a allies. Areas pay apparently alive officers	32.01	3.28	1.34	amalgedu pack #2
-bar	Moments incur pa	32.92	6.14	1.84	exportiimporto #1
-bar	Of course commercial uses look rapidly historical societies. Writers make just high	31.29	3.82	1.33	exportischolar #1
-bar	Old, valuable	23.07	0.23	0.07	namelessnameless #9
-bar	Other things get now. Quite eastern systems should not ask then new days; usual, good friends should work at a proposals. Highly pr	24.90	0.27	0.09	edu packnameless #1
-bar	Pupils change. Frequently nice rates shall not decide future yards. Over upper girls ought to lower in a developments. Formal	36.24	2.19	1.16	edu packexporti #1
-bar	Really foreign workers overcome asleep, young decades. Drugs may tell children; labour, real wages ev	13.88	4.24	2.96	scholarmaxi #9
-bar	Round managers take processes. Primary, particular courses used to hold sacred cases. C	7.23	4.13	2.84	edu packscholar #1
-bar	Simple guests leave british, skilled terms. Kind, little standards must suspect. Combinations may think like, distinguished inches. Artists beat awfully. Ide	27.08	1.68	0.53	edu packedu pack #2
-bar	So damp tests imagine resources. Innocently prime developments shall work small pl	30.83	0.61	0.33	scholarnameless #6
-bar	So much as close reforms would hide at first measures; alone, important contracts lose linguisti	20.14	2.37	1.37	exportinameless #1
-bar	Strange do	15.41	9.47	4.82	exportiexporti #1
-bar	Wide, technical paren	17.06	6.64	3.98	exportiexporti #1
-bar	Wonderful servants must not resolve once physical lives. Later significant an	27.44	0.33	0.22	brandbrand #7
-bar	Years need much. Good interests use too different, junior services. Young items shall not find. Disastrous hands release fast new, alternative applications. American police make in 	33.95	7.68	4.45	exportiamalg #1
-eing	Birds stay foreign, chronic parts. So young cases shall not conclude buildings. About important months may not look; degrees catch just; other societies may not ge	18.42	4.67	2.33	amalgscholar #2
-eing	Central, other hands will agree especially crucial differences	16.71	4.49	3.00	exportischolar #2
-eing	Even single waters make for instance particular hours. Mental rights may cross as just contemporary m	30.54	0.97	0.82	importounivamalg #5
-eing	Flowers cultivate still so-called, available	10.50	3.84	1.22	edu packmaxi #8
-eing	Good, helpful men close. Please difficult lakes should waste very conservative, labour 	11.84	3.13	0.97	edu packbrand #8
-eing	However modern companies ought to make industria	23.09	9.56	3.25	brandcorp #1
-eing	Important, frequent councils explore general, local ideas. Representatives last more. Foreign, sensible pupils pay. Social, american reservations used to get so much	2.86	0.59	0.25	amalgbrand #2
-eing	Increased, special pound	24.05	2.52	1.20	importoedu pack #2
-eing	Laws go shortly british, clear carers. Inner, available aspirations ought to abolish most armed strings. Activities gain then less high banks; never future reactions include so in a powers. Popular, 	30.53	9.69	7.46	edu packmaxi #8
-eing	Main pupils could expel followers. Sometimes severe horses should keep largely earnings. Years put recently permanent inst	19.15	9.17	6.05	maxinameless #2
-eing	More different attempts replace. Changes look shoes. E	25.75	2.47	1.40	amalgexporti #1
-eing	Nations save further new complaints. Perfect things murder different odds. General firms will like also; fatal grounds lie however working sorts. However internal police should design	23.32	8.09	3.31	amalgexporti #1
-eing	Ordinary orders can inspect. New int	34.66	9.58	3.92	exportiedu pack #2
-eing	Other, eager christians live very others. Young, financ	8.49	8.22	5.01	edu packscholar #1
-eing	Parliamentary guests could not convey real chiefs; integrated, full responsibilities take later then important categories. T	28.83	0.41	0.13	edu packamalg #1
-eing	Physical polls melt as eyes. Clear, special sources might invent at once. As immediate things will not	24.71	3.77	1.80	edu packamalg #2
-eing	Specifically honest pp. would ensure wide for a miles. Different families put then western, certain children. Only exciting commitments say f	10.89	0.51	0.26	edu packunivamalg #11
-eing	Students help factors. Seats take matters; likely sources make ridiculous children. Police might say then just natural characters. A	9.32	1.15	0.62	exportischolar #1
-eing	Tired days used to admit for a customs	29.84	5.94	4.93	importoamalg #1
-eing	Wrong, high terms make relatively holidays. Major, relevant theories consider difficult, new markets. Sure, real subjec	27.35	3.29	1.51	amalgscholar #2
-ese		29.58	\N	\N	exportischolar #1
-ese	As sure women fall proposals. Entire, loc	35.61	1.91	1.14	edu packexporti #1
-ese	Backwards royal assets get plans; countries used to swing then. Most strange	28.67	1.84	0.82	exportiedu pack #1
-ese	Civil firms say; prospective technologies used to take there. Easy, high assets enter so practical, structural buildings. Studies woul	26.23	9.09	3.45	maxiunivamalg #6
-ese	Comfortable experiments hit defensive implications. Bad resources would not heal central, national twins. Kind, modern thoughts shall ensure home short	34.17	92.12	71.85	importoedu pack #1
-ese	Companies find financially substances. National, enormous conclusions might object here firms; exactly different jobs should complete; practices encourage really months. Necessary, previous recor	24.08	5.63	3.71	importoamalgamalg #5
-ese	Democrats follow mostly available,	25.69	0.59	0.47	exportibrand #2
-ese	Excellent, real advantages would exist posts. Activities shall continue in a feet. Effects think only confidently local c	25.63	2.41	1.90	amalgunivamalg #11
-ese	Expensive reasons shall not carry hardly ri	19.68	4.59	1.46	scholarbrand #1
-ese	Fresh, industrial vegetables could proceed quite i	29.70	7.16	2.57	scholarunivamalg #8
-ese	Full rules may persuade pregnant cars. Earnings publish worried symptoms. Ready	36.87	5.88	4.99	amalgimporto #1
-ese	Horses last results. There thorough parents sail everywhere into a gua	23.67	3.45	2.55	scholarnameless #5
-ese	Large businessmen might give successful poles; children believe however. Hard, fine companies must not dismiss likely advantages. Now great nations shall not walk to	2.78	3.48	1.07	brandcorp #6
-ese	Modern areas include indeed political children. White, widespread services attend also. Pink boundaries explain early because of a letters. Often assistant men make never pale windows. Then inte	30.08	6.20	4.21	exportiedu pack #2
-ese	Nowhere sure shops ought to constitute by a conditions. Apparent hands shall not fit slightly general men. Oth	26.20	3.59	3.08	amalgscholar #1
-ese	Political, french streets used to introduce just labour 	21.21	1.59	1.38	edu packunivamalg #9
-ese	Publications could not judge; double deputies	35.52	6.30	2.39	edu packamalg #1
-ese	Reasonably direct interests turn. Certainly existing 	12.36	1.86	0.89	importoscholar #1
-ese	Temperatures reflect quite	34.31	0.90	0.45	scholarnameless #3
-ese	Tests will maintain only. Beautifully local banks make still; particular votes protect during a eyes. Contracts must understand primarily. Difficult countries cast in a 	19.06	4.13	2.68	edu packimporto #1
-ese	Totally pure styles would seek charges; values say. Normal, big activi	30.40	1.07	0.84	maxiunivamalg #5
-ese	Years want as a whole. Public eyes shall win against a books. Special minutes intensify stones. Alone, right fingers spring men. Ho	32.52	1.73	0.77	exportibrand #5
-ought	Active abilities depend smoothly by a 	30.54	2.40	1.44	importoexporti #1
-ought	Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the 	18.54	4.46	1.33	corpmaxi #11
-ought	At last political managers would get new, historic workers. Requirements seem loose shadows; activities carry favorite mothers; likely issues stand aside environmental, current funds; below	6.48	1.08	0.43	exportiexporti #1
-ought	Authorities used to leave exactly other co	15.13	2.14	0.72	exporticorp #5
-ought	Costs receive. British teachers evolve mentally only, new words. Good tickets give 	34.78	0.12	0.06	edu packexporti #1
-ought	European, happy homes shall not share. Double calls can cover just in order regular developments; inevitable rooms ought to promise according to a eyes. Normal attempts grow only, complex goods	12.84	8.03	4.57	univnameless #7
-ought	Full-time clothes discharge glad, concerned details. Customs must survive	10.29	8.52	6.73	exportiunivamalg #14
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q66.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q66.out
deleted file mode 100644
index dc2ebe3604..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q66.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q66 --
-	\N	Fairview	Williamson County	TN	United States	DHL,BARIAN	2001	9597806.95	11121820.57	8670867.91	8994786.04	10887248.09	14187671.36	9732598.41	19798897.07	21007842.34	21495513.67	34795669.17	33122997.94	\N	\N	\N	\N	\N	\N	\N	\N	\N	\N	\N	\N	21913594.59	32518476.51	24885662.72	25698343.86	33735910.61	35527031.58	25465193.48	53623238.66	51409986.76	54159173.90	92227043.25	83435390.84
-Bad cards must make.	621234	Fairview	Williamson County	TN	United States	DHL,BARIAN	2001	9506753.46	8008140.33	6116769.63	11973045.15	7756254.92	5352978.49	13733996.10	16418794.37	17212743.32	17042707.41	34304935.61	35324164.21	15.30	12.88	9.83	19.26	12.47	8.61	22.10	26.42	27.70	27.42	55.21	56.85	30534943.77	24481685.94	22178710.81	25695798.18	29954903.78	18084140.05	30805576.13	47156887.22	51158588.86	55759942.80	86253544.16	83451555.63
-Conventional childr	977787	Fairview	Williamson County	TN	United States	DHL,BARIAN	2001	8860645.55	14415813.74	6761497.23	11820654.76	8246260.69	6636877.49	11434492.25	25673812.14	23074206.96	21834581.94	26894900.53	33575091.74	9.05	14.73	6.90	12.08	8.43	6.78	11.69	26.25	23.58	22.32	27.50	34.33	23836085.83	32073313.37	25037904.18	22659895.86	21757401.03	24451608.10	21933001.85	55996703.43	57371880.44	62087214.51	82849910.15	88970319.31
-Doors canno	294242	Fairview	Williamson County	TN	United States	DHL,BARIAN	2001	6355232.31	10198920.36	10246200.97	12209716.50	8566998.28	8806316.81	9789405.60	16466584.88	26443785.61	27016047.80	33660589.67	27462468.62	21.58	34.65	34.81	41.49	29.10	29.91	33.26	55.95	89.86	91.81	114.38	93.32	22645143.09	24487254.60	24925759.42	30503655.27	26558160.29	20976233.52	29895796.09	56002198.38	53488158.53	76287235.46	82483747.59	88088266.69
-Important issues liv	138504	Fairview	Williamson County	TN	United States	DHL,BARIAN	2001	11748784.55	14351305.77	9896470.93	7990874.78	8879247.90	7362383.09	10011144.75	17741201.32	21346976.05	18074978.16	29675125.64	32545325.29	84.81	103.61	71.45	57.69	64.10	53.15	72.27	128.08	154.12	130.49	214.25	234.97	27204167.15	25980378.13	19943398.93	25710421.13	19484481.03	26346611.48	25075158.43	54094778.13	41066732.11	54547058.28	72465962.92	92770328.27
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q67_ignore_temporarily.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q67_ignore_temporarily.out
deleted file mode 100644
index adafbed23e..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q67_ignore_temporarily.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q67_ignore_temporarily --
-\N	\N	\N	\N	\N	\N	\N	\N	3113996.92	2
-\N	\N	\N	\N	\N	\N	\N	\N	1019789218.69	1
-\N		\N	\N	\N	\N	\N	\N	1628997.00	3
-\N			\N	\N	\N	\N	\N	596191.74	4
-\N				\N	\N	\N	\N	102328.59	62
-\N				2000	\N	\N	\N	102328.59	62
-\N			ablepriablebarought	\N	\N	\N	\N	117683.53	38
-\N			ablepriablebarought	2000	\N	\N	\N	117683.53	38
-\N			antiationeinganti	\N	\N	\N	\N	142234.21	15
-\N			antiationeinganti	2000	\N	\N	\N	142234.21	15
-\N			barationableeing	\N	\N	\N	\N	133715.91	25
-\N			barationableeing	2000	\N	\N	\N	133715.91	25
-\N			barationableeing	2000	4	\N	\N	66366.69	100
-\N			eingcallyoughteing	\N	\N	\N	\N	100229.50	67
-\N			eingcallyoughteing	2000	\N	\N	\N	100229.50	67
-\N		brandmaxi #2	\N	\N	\N	\N	\N	102830.03	59
-\N		brandmaxi #2	oughteingought	\N	\N	\N	\N	102830.03	59
-\N		brandmaxi #2	oughteingought	2000	\N	\N	\N	102830.03	59
-\N		corpunivamalg #3	\N	\N	\N	\N	\N	87301.37	80
-\N		corpunivamalg #3	eseantin stationought	\N	\N	\N	\N	87301.37	80
-\N		corpunivamalg #3	eseantin stationought	2000	\N	\N	\N	87301.37	80
-\N		edu packamalg #2	\N	\N	\N	\N	\N	106947.83	48
-\N		edu packamalg #2	oughtn stn stese	\N	\N	\N	\N	106947.83	48
-\N		edu packamalg #2	oughtn stn stese	2000	\N	\N	\N	106947.83	48
-\N		edu packamalgamalg #17	\N	\N	\N	\N	\N	91126.70	77
-\N		edu packamalgamalg #17		\N	\N	\N	\N	91126.70	77
-\N		edu packamalgamalg #17		2000	\N	\N	\N	91126.70	77
-\N		edu packexporti #1	\N	\N	\N	\N	\N	163163.84	6
-\N		edu packexporti #1		\N	\N	\N	\N	163163.84	6
-\N		edu packexporti #1		2000	\N	\N	\N	163163.84	6
-\N		edu packexporti #1		2000	4	\N	\N	68406.85	97
-\N		exportischolar #2	\N	\N	\N	\N	\N	121562.94	31
-\N		exportischolar #2	prieingeseought	\N	\N	\N	\N	121562.94	31
-\N		exportischolar #2	prieingeseought	2000	\N	\N	\N	121562.94	31
-\N		importoedu pack #1	\N	\N	\N	\N	\N	154984.03	9
-\N		importoedu pack #1		\N	\N	\N	\N	154984.03	9
-\N		importoedu pack #1		2000	\N	\N	\N	154984.03	9
-\N		importoedu pack #1		2000	4	\N	\N	73781.23	90
-\N		namelesscorp #1	\N	\N	\N	\N	\N	148627.34	12
-\N		namelesscorp #1		\N	\N	\N	\N	148627.34	12
-\N		namelesscorp #1		2000	\N	\N	\N	148627.34	12
-\N		namelesscorp #1		2000	4	\N	\N	67371.60	98
-\N	archery	\N	\N	\N	\N	\N	\N	110088.99	44
-\N	archery	amalgmaxi #6	\N	\N	\N	\N	\N	110088.99	44
-\N	archery	amalgmaxi #6	antioughtn stought	\N	\N	\N	\N	110088.99	44
-\N	archery	amalgmaxi #6	antioughtn stought	2000	\N	\N	\N	110088.99	44
-\N	baseball	\N	\N	\N	\N	\N	\N	93607.10	73
-\N	baseball		\N	\N	\N	\N	\N	93607.10	73
-\N	baseball			\N	\N	\N	\N	93607.10	73
-\N	baseball			2000	\N	\N	\N	93607.10	73
-\N	dresses	\N	\N	\N	\N	\N	\N	138018.80	17
-\N	dresses		\N	\N	\N	\N	\N	138018.80	17
-\N	dresses		antieseoughtcally	\N	\N	\N	\N	138018.80	17
-\N	dresses		antieseoughtcally	2000	\N	\N	\N	138018.80	17
-\N	dresses		antieseoughtcally	2000	4	\N	\N	69138.80	96
-\N	flatware	\N	\N	\N	\N	\N	\N	74808.21	86
-\N	flatware		\N	\N	\N	\N	\N	74808.21	86
-\N	flatware		oughteingationn st	\N	\N	\N	\N	74808.21	86
-\N	flatware		oughteingationn st	2000	\N	\N	\N	74808.21	86
-\N	glassware	\N	\N	\N	\N	\N	\N	98111.30	69
-\N	glassware		\N	\N	\N	\N	\N	98111.30	69
-\N	glassware			\N	\N	\N	\N	98111.30	69
-\N	glassware			2000	\N	\N	\N	98111.30	69
-\N	outdoor	\N	\N	\N	\N	\N	\N	115448.60	40
-\N	outdoor	namelessnameless #3	\N	\N	\N	\N	\N	115448.60	40
-\N	outdoor	namelessnameless #3		\N	\N	\N	\N	115448.60	40
-\N	outdoor	namelessnameless #3		2000	\N	\N	\N	115448.60	40
-\N	pants	\N	\N	\N	\N	\N	\N	135855.95	21
-\N	pants	exportiimporto #2	\N	\N	\N	\N	\N	135855.95	21
-\N	pants	exportiimporto #2	antibarableableought	\N	\N	\N	\N	135855.95	21
-\N	pants	exportiimporto #2	antibarableableought	2000	\N	\N	\N	135855.95	21
-\N	pants	exportiimporto #2	antibarableableought	2000	4	\N	\N	66808.00	99
-\N	scanners	\N	\N	\N	\N	\N	\N	118366.60	34
-\N	scanners	namelessunivamalg #10	\N	\N	\N	\N	\N	118366.60	34
-\N	scanners	namelessunivamalg #10	n stbaresepri	\N	\N	\N	\N	118366.60	34
-\N	scanners	namelessunivamalg #10	n stbaresepri	2000	\N	\N	\N	118366.60	34
-\N	scanners	namelessunivamalg #10	n stbaresepri	2000	4	\N	\N	70357.97	95
-\N	semi-precious	\N	\N	\N	\N	\N	\N	105040.42	51
-\N	semi-precious	amalgbrand #4	\N	\N	\N	\N	\N	105040.42	51
-\N	semi-precious	amalgbrand #4	ationeseoughtanti	\N	\N	\N	\N	105040.42	51
-\N	semi-precious	amalgbrand #4	ationeseoughtanti	2000	\N	\N	\N	105040.42	51
-\N	sports-apparel	\N	\N	\N	\N	\N	\N	104579.05	55
-\N	sports-apparel		\N	\N	\N	\N	\N	104579.05	55
-\N	sports-apparel			\N	\N	\N	\N	104579.05	55
-\N	sports-apparel			2000	\N	\N	\N	104579.05	55
-\N	swimwear	\N	\N	\N	\N	\N	\N	132397.04	27
-\N	swimwear	edu packamalg #2	\N	\N	\N	\N	\N	132397.04	27
-\N	swimwear	edu packamalg #2	antieingoughtcally	\N	\N	\N	\N	132397.04	27
-\N	swimwear	edu packamalg #2	antieingoughtcally	2000	\N	\N	\N	132397.04	27
-\N	tennis	\N	\N	\N	\N	\N	\N	73252.58	91
-\N	tennis		\N	\N	\N	\N	\N	73252.58	91
-\N	tennis		barpribaranti	\N	\N	\N	\N	73252.58	91
-\N	tennis		barpribaranti	2000	\N	\N	\N	73252.58	91
-\N	womens	\N	\N	\N	\N	\N	\N	180234.29	5
-\N	womens		\N	\N	\N	\N	\N	78649.41	83
-\N	womens			\N	\N	\N	\N	78649.41	83
-\N	womens			2000	\N	\N	\N	78649.41	83
-\N	womens	amalgedu pack #2	\N	\N	\N	\N	\N	101584.88	64
-\N	womens	amalgedu pack #2		\N	\N	\N	\N	101584.88	64
-\N	womens	amalgedu pack #2		2000	\N	\N	\N	101584.88	64
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q68.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q68.out
deleted file mode 100644
index 4c0a261418..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q68.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q68 --
-		Unionville	Woodlawn	70	14472.01	383.45	27139.95
-		Midway	Oakwood	11488	13314.57	425.70	30008.53
-	Michael	Oak Grove		15164	21737.79	924.75	43426.33
-	Rene	Caledonia	Stringtown	16638	20732.47	915.66	38600.63
-	John	Parkwood	Edgewood	24159	24087.46	1200.55	51305.29
-	Ana	Deerfield	Jamestown	26329	37277.21	1346.72	65078.34
-	Kent	Wilson	Mountain View	27855	34594.01	1145.23	61220.01
-	Rene	Caledonia	Spring Valley	30016	48048.11	1969.99	88469.89
-		Clinton	Redland	36631	20981.79	1799.58	26288.30
-	Donna	Oak Hill	Sulphur Springs	36870	25603.09	1331.75	53982.97
-		Sunnyside	Newtown	40831	22656.49	1011.26	54581.80
-	Karen	Greenfield	Friendship	40841	15048.50	678.00	45109.61
-		Salem		43618	22846.68	794.43	43131.47
-		Shiloh	Oakland	46266	25416.89	1427.81	45735.58
-	Joshua	Lakeside	Highland Park	46736	29566.29	1020.12	55274.62
-		Newport	Bunker Hill	47193	37645.73	1195.20	72749.99
-		Guilford	Wildwood	49651	14471.24	513.47	32498.08
-		Leon	Five Points	50330	18970.87	926.99	49138.72
-		Salem	Mount Pleasant	50365	26947.72	531.11	39988.78
-		Brownsville	Walnut Grove	53883	23832.80	1031.26	32052.94
-		Shelby	Clifton	54573	25576.31	723.92	42159.67
-	Larry	Oak Hill	Five Points	54597	31630.41	1432.78	55835.87
-		Dallas	Shady Grove	55706	22011.96	313.15	53826.72
-	Tabatha	Harmony	Greenfield	56102	17377.84	420.63	38464.67
-	Shannon	Brownsville	Deerfield	57279	31806.93	1450.73	59987.95
-		Centerville	Providence	62604	6898.02	324.99	30892.81
-		Springfield	Florence	77578	11201.04	573.75	39745.55
-		Fairview	Florence	90439	18472.43	665.54	45369.45
-	Lillian	Fairview	Pleasant Hill	90533	32594.36	1558.26	66144.34
-		White Oak	Florence	92664	13525.33	462.86	28408.35
-		Morris	Sullivan	97140	13728.72	455.24	22377.36
-	Malcolm	Spring Hill	Bridgeport	97846	27789.25	1441.65	70190.53
-	Andrew	Centerville	Plainview	98661	40661.38	973.31	79995.51
-	James	Riverview	Valley View	99563	22376.23	546.85	42749.50
-	Juanita	Waterloo	Georgetown	100509	26660.53	676.41	51566.27
-		Shady Grove	Clifford	103990	20797.70	1019.91	44546.93
-		Florence	Spring Hill	104935	19660.92	1221.31	44977.11
-	David	Florence	Springdale	108460	17730.57	647.69	43637.79
-	Frank	Riverview	Waterloo	109144	18721.91	846.02	29241.20
-		Buena Vista	Griffin	109500	35164.09	1692.37	53432.26
-		Wilson	Jamestown	111773	21025.19	845.83	39863.08
-	Melvin	Woodville	Harmony	115030	15067.30	734.83	31515.14
-	Ricky	Stringtown	Glenwood	120194	22030.71	790.40	54088.54
-	John	Fairview	Lakeside	123374	21712.42	1337.39	31640.02
-	Ralph	Valley View	Harmony	125234	17152.89	603.81	43572.89
-			Bunker Hill	133136	15951.17	341.13	30764.94
-	Bernadette	Ashland	Pleasant Grove	134217	6757.46	306.65	17709.08
-	Joseph	Springdale	Lakeside	134343	17381.47	748.31	37418.87
-	Lacey	Jamestown	Riverside	134462	10125.84	293.43	26180.45
-	Warren	Bunker Hill	Greenville	134828	10481.74	350.80	19160.46
-	Gertrude	Greenwood	Macedonia	137410	33678.21	1866.59	47276.52
-		Galena	Sulphur Springs	137765	12788.84	545.88	35276.70
-		Forest Hills	Argyle	139387	14190.66	566.22	26171.36
-	James	Shiloh	Wesley	142680	28622.37	1046.33	61645.20
-	Susan	Green Acres	Liberty	143399	13352.11	880.61	30549.47
-	Willie	Freeport	Wyoming	147738	15265.05	608.18	43336.34
-		Walnut Grove	Willow	147740	24550.37	1403.66	47888.99
-	Jack	Oakwood	Liberty	149758	18006.16	299.45	37000.83
-		Pleasant Hill	Waterloo	156554	20178.41	1143.87	34449.89
-		Five Points	Tracy	159202	32371.98	1162.21	65641.10
-		Glendale	Mount Pleasant	159389	19529.56	568.73	42661.40
-	Victor	Providence	Antioch	161524	14173.12	860.07	26079.25
-		Pleasant Grove	Newtown	164893	15334.29	612.95	39959.97
-		Centerville		171076	6706.91	269.11	19594.55
-	Raymond	Springfield	Greenfield	174183	26633.39	1132.88	66071.66
-		Mount Zion	Greenwood	174923	17133.91	313.95	51727.01
-		Kingston	Wildwood	176614	38949.49	2260.34	62962.63
-		Springfield	Jackson	176898	22035.46	785.41	36552.00
-	George	Pleasant Grove	Shiloh	179953	18237.84	607.57	44135.38
-		Newtown	Union Hill	186823	18161.92	709.16	27119.67
-	Antone	Antioch	Forest Hills	192973	14507.02	841.86	34973.08
-	Violet	Woodlawn	Woodville	193534	17536.20	1067.01	30308.64
-	Emiko	Liberty	Oakdale	193771	9730.58	249.23	22985.99
-		Mountain View	Deerfield	194436	16962.72	773.97	33070.54
-		Georgetown	Forest Hills	195266	11924.71	382.35	28208.78
-	Roy	Georgetown	Riverside	200033	35666.28	644.10	62654.54
-	Barbara	Westgate	Crossroads	202167	17296.28	1017.79	30562.26
-	Diane	Five Points	Mount Zion	203347	26281.72	533.37	42267.33
-	Andrew	Shiloh	Mount Zion	205712	18320.09	575.85	32773.59
-		Mount Pleasant	Greenville	206301	20248.08	682.37	57143.50
-		Waterloo	Spring Hill	206784	21355.86	1366.98	37107.65
-		Littleton	Walnut Grove	209023	22998.20	640.55	41076.55
-	Norman	Jamestown	Farmington	218063	37475.56	1480.70	61106.57
-		Hillcrest	Valley View	218569	37536.35	1322.01	54952.26
-	Douglas	Crossroads	Sunnyside	218776	22822.92	884.66	42559.53
-		Summit	Concord	224470	17167.29	893.49	36546.18
-	Joshua	Five Points	Hopewell	227114	19755.36	674.30	28406.59
-		Edgewood	Belmont	230383	14998.93	844.15	26544.25
-		Franklin	Floyd	230648	16319.23	871.53	38604.51
-	Joseph	Lakewood	Mount Olive	231104	34934.39	1256.89	55986.84
-	Marti	Greenwood	Providence	231861	18475.92	694.12	33988.12
-		Deerfield	Lakeside	232906	18068.60	650.65	43837.36
-		Fisher		234655	20093.46	279.93	39719.79
-		Lakeside	Jackson	235093	15888.52	457.78	39640.17
-Aaron	Guy	Lakeside	Mount Pleasant	210815	24704.66	678.88	45673.18
-Abbott	Joseph	Greenfield	Midway	62751	37795.50	1086.40	53385.17
-Abbott	Harriet	Wesley	Forest Hills	84405	23666.36	1274.86	45689.64
-Abney	Louis	Gladstone	Green Acres	140967	20698.82	491.86	48086.21
-Acevedo	David	Clinton	Shady Grove	131505	22075.16	772.60	46961.99
-Acosta	Johnnie	Centerville	Enterprise	69183	21688.97	1059.74	34387.30
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q69.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q69.out
deleted file mode 100644
index 397f9984ff..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q69.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q69 --
-F	D	2 yr Degree	1	2500	1	Low Risk	1
-F	D	2 yr Degree	1	4500	1	Good	1
-F	D	2 yr Degree	2	4500	2	Low Risk	2
-F	D	2 yr Degree	1	9000	1	Good	1
-F	D	2 yr Degree	1	9500	1	Good	1
-F	D	4 yr Degree	1	1000	1	Low Risk	1
-F	D	4 yr Degree	1	1500	1	Low Risk	1
-F	D	4 yr Degree	1	1500	1	Unknown	1
-F	D	4 yr Degree	1	2000	1	Good	1
-F	D	4 yr Degree	1	2500	1	Unknown	1
-F	D	4 yr Degree	1	4000	1	Unknown	1
-F	D	4 yr Degree	1	5500	1	Good	1
-F	D	4 yr Degree	1	7000	1	Good	1
-F	D	4 yr Degree	1	7000	1	High Risk	1
-F	D	4 yr Degree	1	8000	1	High Risk	1
-F	D	4 yr Degree	1	8500	1	Unknown	1
-F	D	Advanced Degree	1	1000	1	Good	1
-F	D	Advanced Degree	1	3500	1	Good	1
-F	D	Advanced Degree	1	3500	1	High Risk	1
-F	D	Advanced Degree	1	4000	1	High Risk	1
-F	D	Advanced Degree	1	5000	1	High Risk	1
-F	D	Advanced Degree	1	5500	1	Good	1
-F	D	Advanced Degree	1	5500	1	Low Risk	1
-F	D	Advanced Degree	1	6500	1	Low Risk	1
-F	D	Advanced Degree	1	7000	1	High Risk	1
-F	D	Advanced Degree	1	8000	1	Low Risk	1
-F	D	Advanced Degree	1	8500	1	High Risk	1
-F	D	Advanced Degree	1	9500	1	Low Risk	1
-F	D	Advanced Degree	1	9500	1	Unknown	1
-F	D	Advanced Degree	1	10000	1	Low Risk	1
-F	D	College	1	1500	1	Low Risk	1
-F	D	College	1	2500	1	Good	1
-F	D	College	1	4000	1	High Risk	1
-F	D	College	1	6000	1	Good	1
-F	D	College	1	6000	1	High Risk	1
-F	D	College	1	9000	1	High Risk	1
-F	D	Primary	1	3000	1	High Risk	1
-F	D	Primary	1	4000	1	Low Risk	1
-F	D	Primary	1	4000	1	Unknown	1
-F	D	Primary	1	4500	1	Unknown	1
-F	D	Primary	1	5000	1	High Risk	1
-F	D	Primary	1	5000	1	Unknown	1
-F	D	Primary	1	6000	1	Good	1
-F	D	Primary	1	6000	1	Unknown	1
-F	D	Primary	1	8500	1	Unknown	1
-F	D	Primary	1	9000	1	Unknown	1
-F	D	Primary	1	9500	1	High Risk	1
-F	D	Primary	1	9500	1	Unknown	1
-F	D	Primary	1	10000	1	Good	1
-F	D	Primary	2	10000	2	Low Risk	2
-F	D	Secondary	1	500	1	Low Risk	1
-F	D	Secondary	1	1000	1	High Risk	1
-F	D	Secondary	1	3000	1	Good	1
-F	D	Secondary	1	3500	1	Good	1
-F	D	Secondary	1	6000	1	Low Risk	1
-F	D	Secondary	1	6500	1	Unknown	1
-F	D	Secondary	1	8500	1	High Risk	1
-F	D	Secondary	1	10000	1	Low Risk	1
-F	D	Unknown	1	1500	1	High Risk	1
-F	D	Unknown	1	3000	1	Good	1
-F	D	Unknown	1	3000	1	High Risk	1
-F	D	Unknown	1	6000	1	Good	1
-F	D	Unknown	1	6500	1	High Risk	1
-F	D	Unknown	2	8000	2	Low Risk	2
-F	D	Unknown	1	10000	1	Unknown	1
-F	M	2 yr Degree	1	2500	1	Low Risk	1
-F	M	2 yr Degree	3	4000	3	Unknown	3
-F	M	2 yr Degree	1	4500	1	Low Risk	1
-F	M	2 yr Degree	1	8500	1	High Risk	1
-F	M	4 yr Degree	1	1000	1	Good	1
-F	M	4 yr Degree	1	1500	1	Good	1
-F	M	4 yr Degree	1	4000	1	Low Risk	1
-F	M	4 yr Degree	1	4000	1	Unknown	1
-F	M	4 yr Degree	1	5000	1	Unknown	1
-F	M	4 yr Degree	1	5500	1	Low Risk	1
-F	M	4 yr Degree	1	6000	1	Good	1
-F	M	4 yr Degree	1	8000	1	High Risk	1
-F	M	Advanced Degree	1	500	1	Low Risk	1
-F	M	Advanced Degree	1	500	1	Unknown	1
-F	M	Advanced Degree	1	2500	1	Good	1
-F	M	Advanced Degree	1	3500	1	High Risk	1
-F	M	Advanced Degree	2	5500	2	Unknown	2
-F	M	Advanced Degree	1	6500	1	Good	1
-F	M	Advanced Degree	1	6500	1	Unknown	1
-F	M	Advanced Degree	1	8000	1	Low Risk	1
-F	M	Advanced Degree	1	9500	1	Good	1
-F	M	Advanced Degree	1	10000	1	Low Risk	1
-F	M	College	1	1000	1	Unknown	1
-F	M	College	1	3000	1	Good	1
-F	M	College	2	5000	2	High Risk	2
-F	M	College	1	6000	1	Low Risk	1
-F	M	College	1	7000	1	High Risk	1
-F	M	College	1	8000	1	Good	1
-F	M	College	1	9000	1	Good	1
-F	M	College	2	9000	2	High Risk	2
-F	M	College	1	9500	1	High Risk	1
-F	M	College	1	10000	1	High Risk	1
-F	M	Primary	1	1000	1	Low Risk	1
-F	M	Primary	1	1500	1	High Risk	1
-F	M	Primary	1	7000	1	Good	1
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q70.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q70.out
deleted file mode 100644
index 406e09380e..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q70.out
+++ /dev/null
@@ -1,6 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q70 --
--440986113.22	\N	\N	2	1
--440986113.22	TN	\N	1	1
--440986113.22	TN	Williamson County	0	1
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q71.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q71.out
deleted file mode 100644
index d4785b2d52..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q71.out
+++ /dev/null
@@ -1,1021 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q71 --
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-9008002	namelessmaxi #2	19	23	12759.38
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-6005001	scholarcorp #1	7	39	10787.84
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-9016003	corpunivamalg #3	9	42	9576.26
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-7015007	scholarnameless #7	18	47	9254.90
-3003001	exportiexporti #1	17	21	9190.80
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-5003002	exportischolar #2	8	54	9007.28
-7012010	importonameless #10	19	42	8888.32
-10013015	exportiamalgamalg #15	9	18	8828.12
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-1001001	amalgamalg #1	19	3	8431.69
-9016003	corpunivamalg #3	18	8	8380.89
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-8016004	corpmaxi #4	17	34	8241.06
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-3004001	edu packexporti #1	18	0	7698.24
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-8013007	exportimaxi #7	18	32	7629.60
-2003002	exportiimporto #2	18	26	7621.35
-1003002	exportiamalg #2	18	35	7620.51
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-3002001	importoexporti #1	19	3	7400.40
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-8016004	corpmaxi #4	18	55	7186.20
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-6008007	namelesscorp #7	18	47	6953.36
-7001005	amalgbrand #5	8	12	6940.96
-1002002	importoamalg #2	18	51	6924.69
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-6015006	scholarbrand #6	18	23	6755.76
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-5003001	exportischolar #1	9	24	6694.80
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-4004002	edu packedu pack #2	17	3	6447.42
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-10012004	importoamalgamalg #4	6	49	6234.24
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-8013009	exportimaxi #9	9	53	5808.00
-10010013	univamalgamalg #13	7	11	5799.04
-10003004	exportiunivamalg #4	18	18	5692.22
-8002009	importonameless #9	19	33	5633.00
-1003001	exportiamalg #1	7	57	5617.50
-10010013	univamalgamalg #13	17	7	5590.62
-5003001	exportischolar #1	7	44	5589.90
-6006007	corpcorp #7	6	1	5578.24
-9008002	namelessmaxi #2	17	33	5547.78
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-1002002	importoamalg #2	18	15	5240.76
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-5003001	exportischolar #1	17	14	5214.72
-3003002	exportiexporti #2	19	5	5201.25
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-3003001	exportiexporti #1	17	56	5104.62
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-8016004	corpmaxi #4	19	8	4979.25
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-3003001	exportiexporti #1	19	40	4711.07
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-1003001	exportiamalg #1	19	4	4483.98
-5003001	exportischolar #1	18	31	4452.80
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-1003002	exportiamalg #2	9	38	4428.98
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-1003002	exportiamalg #2	9	49	4255.80
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-9015011	scholarunivamalg #11	8	55	4235.00
-1002002	importoamalg #2	17	0	4183.34
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-5003001	exportischolar #1	18	17	4099.20
-5003001	exportischolar #1	9	28	4064.76
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-6002005	importocorp #5	17	22	4011.30
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-7004007	edu packbrand #7	7	19	3943.82
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-10009015	maxiunivamalg #15	7	51	3912.99
-4001001	amalgedu pack #1	17	55	3890.08
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-10004001	edu packunivamalg #1	18	13	3864.00
-5004002	edu packscholar #2	18	50	3863.88
-6008002	namelesscorp #2	18	38	3841.04
-1001001	amalgamalg #1	19	44	3818.40
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-2004001	edu packimporto #1	18	4	3757.34
-10003004	exportiunivamalg #4	7	34	3756.20
-9012008	importounivamalg #8	18	56	3735.84
-5001001	amalgscholar #1	19	12	3735.76
-7015007	scholarnameless #7	17	55	3734.28
-2001002	amalgimporto #2	8	51	3725.90
-5002002	importoscholar #2	17	38	3709.44
-7016007	corpnameless #7	19	53	3701.95
-8002009	importonameless #9	9	18	3686.90
-8014005	edu packmaxi #5	18	43	3649.00
-9008002	namelessmaxi #2	17	52	3635.28
-5001001	amalgscholar #1	19	19	3617.97
-4003001	exportiedu pack #1	17	43	3598.98
-6009003	maxicorp #3	17	6	3596.58
-7012003	importonameless #3	9	29	3573.75
-9012003	importounivamalg #3	17	2	3568.96
-1001002	amalgamalg #2	19	59	3542.94
-1001002	amalgamalg #2	18	37	3522.98
-8011009	amalgmaxi #9	19	35	3485.72
-1003002	exportiamalg #2	19	58	3423.80
-1001002	amalgamalg #2	18	25	3408.48
-4004002	edu packedu pack #2	17	2	3400.05
-6008007	namelesscorp #7	18	16	3395.62
-5002002	importoscholar #2	6	23	3383.10
-1002002	importoamalg #2	9	48	3374.00
-4003001	exportiedu pack #1	8	33	3358.72
-5001001	amalgscholar #1	18	27	3326.04
-3002002	importoexporti #2	17	18	3304.55
-7010004	univnameless #4	18	7	3301.28
-9016003	corpunivamalg #3	8	42	3279.18
-6016003	corpbrand #3	9	9	3262.08
-7015007	scholarnameless #7	9	48	3249.72
-8004003	edu packnameless #3	18	44	3232.48
-5003002	exportischolar #2	9	47	3222.66
-1002002	importoamalg #2	8	37	3220.80
-3004001	edu packexporti #1	7	56	3218.22
-3001001	amalgexporti #1	17	10	3217.50
-7010009	univnameless #9	18	26	3215.11
-1002001	importoamalg #1	17	46	3195.24
-2004002	edu packimporto #2	18	46	3194.31
-5001001	amalgscholar #1	17	54	3180.02
-7008009	namelessbrand #9	17	52	3146.96
-2004002	edu packimporto #2	17	46	3144.40
-3004001	edu packexporti #1	19	14	3127.20
-7010004	univnameless #4	9	16	3126.90
-3001001	amalgexporti #1	8	38	3125.32
-1003001	exportiamalg #1	19	10	3110.49
-6012008	importobrand #8	19	13	3101.32
-1003002	exportiamalg #2	8	56	3097.12
-6005001	scholarcorp #1	8	14	3096.90
-6016003	corpbrand #3	19	31	3094.50
-7010004	univnameless #4	19	4	3093.35
-10002012	importounivamalg #12	18	0	3063.20
-2004001	edu packimporto #1	19	4	3051.40
-8014005	edu packmaxi #5	17	40	3049.76
-1001001	amalgamalg #1	18	49	3045.12
-3004001	edu packexporti #1	7	50	3029.00
-10012017	importoamalgamalg #17	18	26	3027.72
-1003001	exportiamalg #1	8	35	3007.26
-8005005	scholarnameless #5	6	50	2972.97
-1003002	exportiamalg #2	8	25	2957.35
-4001001	amalgedu pack #1	9	12	2930.95
-1002002	importoamalg #2	9	9	2926.95
-6008005	namelesscorp #5	9	1	2902.58
-3002002	importoexporti #2	17	15	2902.20
-2001002	amalgimporto #2	19	47	2894.46
-1003001	exportiamalg #1	9	58	2871.44
-9012005	importounivamalg #5	18	34	2864.88
-3003002	exportiexporti #2	18	8	2844.00
-10013013	exportiamalgamalg #13	8	0	2831.12
-5002001	importoscholar #1	17	38	2822.47
-7016007	corpnameless #7	17	56	2817.48
-9015011	scholarunivamalg #11	8	2	2811.48
-1001001	amalgamalg #1	9	18	2793.44
-4004001	edu packedu pack #1	9	54	2787.20
-1003001	exportiamalg #1	7	23	2784.84
-1003002	exportiamalg #2	18	21	2783.00
-1003001	exportiamalg #1	17	37	2779.50
-2004002	edu packimporto #2	19	26	2776.36
-6009003	maxicorp #3	19	38	2763.09
-1003001	exportiamalg #1	17	41	2751.84
-2001002	amalgimporto #2	18	24	2749.95
-10015013	scholaramalgamalg #13	8	25	2746.86
-3002001	importoexporti #1	17	13	2741.54
-4001001	amalgedu pack #1	9	3	2738.34
-9012003	importounivamalg #3	9	18	2732.40
-5001001	amalgscholar #1	17	43	2731.37
-2001002	amalgimporto #2	9	36	2715.18
-3003001	exportiexporti #1	19	25	2713.30
-5001001	amalgscholar #1	17	52	2707.54
-3002001	importoexporti #1	18	20	2694.50
-6008002	namelesscorp #2	18	48	2683.20
-1003002	exportiamalg #2	17	59	2670.50
-1002002	importoamalg #2	9	36	2668.77
-1003001	exportiamalg #1	9	26	2633.15
-4003001	exportiedu pack #1	9	38	2631.20
-9015011	scholarunivamalg #11	18	16	2621.71
-7010009	univnameless #9	18	48	2609.88
-8005005	scholarnameless #5	19	55	2606.45
-10012011	importoamalgamalg #11	17	9	2589.95
-1002001	importoamalg #1	19	21	2579.48
-4002001	importoedu pack #1	18	51	2567.40
-5003001	exportischolar #1	8	50	2555.28
-1004002	edu packamalg #2	18	24	2551.16
-2003001	exportiimporto #1	19	58	2528.40
-6005001	scholarcorp #1	17	45	2522.52
-6007003	brandcorp #3	17	49	2522.15
-1002001	importoamalg #1	19	14	2513.30
-10010013	univamalgamalg #13	8	30	2513.25
-4001001	amalgedu pack #1	19	9	2512.00
-7010004	univnameless #4	17	44	2509.78
-8003010	exportinameless #10	18	27	2507.44
-6011008	amalgbrand #8	18	5	2505.00
-7010004	univnameless #4	8	21	2502.36
-6012008	importobrand #8	8	33	2495.65
-8004003	edu packnameless #3	18	52	2495.22
-1001002	amalgamalg #2	18	11	2491.16
-7010003	univnameless #3	7	5	2485.08
-4004002	edu packedu pack #2	18	23	2483.01
-8016004	corpmaxi #4	18	43	2482.62
-10004001	edu packunivamalg #1	8	39	2472.93
-2003002	exportiimporto #2	9	41	2471.90
-6011001	amalgbrand #1	7	21	2458.17
-8011009	amalgmaxi #9	19	5	2457.99
-6002005	importocorp #5	19	0	2454.03
-1002002	importoamalg #2	19	57	2451.06
-5001002	amalgscholar #2	19	42	2444.80
-9014011	edu packunivamalg #11	17	44	2436.40
-10003004	exportiunivamalg #4	19	46	2423.18
-6016003	corpbrand #3	19	19	2421.65
-8004009	edu packnameless #9	19	44	2421.51
-2002001	importoimporto #1	8	8	2420.34
-6012005	importobrand #5	7	20	2412.30
-3003001	exportiexporti #1	7	29	2408.70
-3002001	importoexporti #1	18	21	2403.96
-3002002	importoexporti #2	8	58	2399.13
-2001002	amalgimporto #2	17	12	2396.61
-5003002	exportischolar #2	17	37	2388.24
-4004001	edu packedu pack #1	17	5	2386.20
-5003002	exportischolar #2	9	29	2378.69
-3004001	edu packexporti #1	17	46	2375.45
-9014011	edu packunivamalg #11	19	18	2363.04
-1003001	exportiamalg #1	8	5	2360.81
-1003001	exportiamalg #1	19	19	2355.12
-6002005	importocorp #5	8	27	2351.04
-2002001	importoimporto #1	19	47	2338.56
-6007003	brandcorp #3	9	4	2335.10
-8004003	edu packnameless #3	9	44	2314.40
-5003001	exportischolar #1	19	58	2294.62
-8002009	importonameless #9	18	12	2266.60
-3004001	edu packexporti #1	19	9	2261.52
-7010003	univnameless #3	18	35	2234.40
-4004001	edu packedu pack #1	9	25	2215.21
-3003001	exportiexporti #1	8	9	2206.47
-1003002	exportiamalg #2	17	41	2197.60
-6008007	namelesscorp #7	18	0	2190.24
-3002001	importoexporti #1	17	51	2181.96
-8013007	exportimaxi #7	7	11	2180.76
-6005001	scholarcorp #1	18	43	2174.48
-6006007	corpcorp #7	7	24	2158.40
-6002003	importocorp #3	19	26	2152.17
-1001001	amalgamalg #1	19	53	2149.70
-5003001	exportischolar #1	8	59	2144.73
-6005001	scholarcorp #1	9	25	2143.10
-7008009	namelessbrand #9	19	39	2132.41
-3003001	exportiexporti #1	19	53	2118.88
-9015009	scholarunivamalg #9	19	3	2114.64
-10013013	exportiamalgamalg #13	7	33	2103.93
-8003010	exportinameless #10	17	28	2084.72
-8003010	exportinameless #10	17	42	2082.86
-8002009	importonameless #9	9	37	2079.84
-4001001	amalgedu pack #1	19	43	2067.52
-5004002	edu packscholar #2	19	2	2061.30
-5004002	edu packscholar #2	18	7	2049.67
-10004001	edu packunivamalg #1	18	49	2031.20
-1003001	exportiamalg #1	18	21	2028.31
-4001002	amalgedu pack #2	19	19	2018.40
-5002002	importoscholar #2	19	18	2016.96
-4001002	amalgedu pack #2	6	3	2012.80
-6011005	amalgbrand #5	9	53	1997.52
-6011008	amalgbrand #8	8	28	1995.60
-6007003	brandcorp #3	17	33	1995.20
-3003001	exportiexporti #1	9	22	1982.73
-5002002	importoscholar #2	17	49	1980.88
-2001002	amalgimporto #2	17	27	1955.20
-7007004	brandbrand #4	9	31	1954.11
-2001002	amalgimporto #2	17	11	1951.95
-2004001	edu packimporto #1	19	50	1934.46
-4004001	edu packedu pack #1	9	11	1930.50
-7010003	univnameless #3	19	20	1926.24
-1004002	edu packamalg #2	8	13	1922.68
-9013009	exportiunivamalg #9	19	55	1906.92
-8004003	edu packnameless #3	19	58	1905.78
-6008007	namelesscorp #7	17	2	1905.12
-1002001	importoamalg #1	9	28	1904.10
-1002002	importoamalg #2	9	42	1893.54
-4001002	amalgedu pack #2	17	55	1880.97
-1004001	edu packamalg #1	19	42	1878.76
-1001001	amalgamalg #1	17	19	1877.46
-2003002	exportiimporto #2	18	9	1874.40
-9012008	importounivamalg #8	18	22	1873.02
-1002002	importoamalg #2	18	42	1852.20
-6002003	importocorp #3	17	39	1840.98
-5002002	importoscholar #2	18	14	1817.00
-1001001	amalgamalg #1	17	59	1813.11
-7012003	importonameless #3	18	18	1807.85
-7016001	corpnameless #1	19	5	1806.68
-8005005	scholarnameless #5	17	31	1800.48
-5002001	importoscholar #1	6	7	1789.20
-9015009	scholarunivamalg #9	6	44	1788.93
-3002001	importoexporti #1	8	52	1770.00
-3002002	importoexporti #2	6	41	1760.58
-1001001	amalgamalg #1	9	14	1745.24
-1004002	edu packamalg #2	18	32	1742.52
-9013009	exportiunivamalg #9	9	36	1737.57
-10015004	scholaramalgamalg #4	9	2	1736.72
-7010003	univnameless #3	7	58	1735.12
-6016003	corpbrand #3	8	54	1733.08
-7008009	namelessbrand #9	19	27	1726.56
-5002001	importoscholar #1	8	24	1725.50
-9013009	exportiunivamalg #9	18	43	1722.16
-2002001	importoimporto #1	9	43	1715.64
-5003001	exportischolar #1	17	32	1714.80
-5001001	amalgscholar #1	18	35	1713.96
-7004007	edu packbrand #7	17	57	1713.28
-4001001	amalgedu pack #1	19	13	1708.26
-6007003	brandcorp #3	17	51	1707.48
-4001002	amalgedu pack #2	19	51	1706.46
-1003001	exportiamalg #1	18	3	1704.75
-10010013	univamalgamalg #13	18	51	1677.20
-2004002	edu packimporto #2	17	59	1676.84
-2001002	amalgimporto #2	18	21	1659.84
-5001002	amalgscholar #2	18	35	1654.44
-2002001	importoimporto #1	17	4	1649.28
-5004001	edu packscholar #1	6	36	1646.50
-3002001	importoexporti #1	17	14	1644.96
-4004001	edu packedu pack #1	17	18	1644.00
-4001001	amalgedu pack #1	17	28	1643.76
-5001001	amalgscholar #1	19	21	1643.22
-4001001	amalgedu pack #1	6	45	1639.44
-1004001	edu packamalg #1	8	16	1629.81
-1001002	amalgamalg #2	9	48	1624.59
-9008005	namelessmaxi #5	17	4	1621.62
-1002002	importoamalg #2	9	56	1600.82
-9013009	exportiunivamalg #9	18	51	1590.00
-10012017	importoamalgamalg #17	17	16	1565.38
-5002001	importoscholar #1	19	55	1563.38
-10015013	scholaramalgamalg #13	19	51	1553.20
-3004001	edu packexporti #1	9	31	1541.43
-5003002	exportischolar #2	17	2	1540.54
-8013007	exportimaxi #7	18	51	1537.90
-5004002	edu packscholar #2	19	24	1514.74
-4003001	exportiedu pack #1	8	3	1514.43
-2001002	amalgimporto #2	18	48	1511.30
-1001002	amalgamalg #2	17	55	1505.25
-2004001	edu packimporto #1	19	27	1490.13
-4001001	amalgedu pack #1	17	15	1488.84
-6005001	scholarcorp #1	17	14	1488.52
-9015011	scholarunivamalg #11	18	55	1487.52
-5003001	exportischolar #1	9	26	1482.30
-5004002	edu packscholar #2	18	47	1481.61
-10009015	maxiunivamalg #15	19	55	1476.75
-2004002	edu packimporto #2	9	3	1475.84
-7016007	corpnameless #7	17	42	1470.52
-5003001	exportischolar #1	17	59	1466.25
-5004002	edu packscholar #2	18	35	1462.00
-5003001	exportischolar #1	18	10	1461.98
-1003001	exportiamalg #1	19	50	1455.83
-5003001	exportischolar #1	8	25	1446.36
-1004001	edu packamalg #1	19	26	1439.04
-6011005	amalgbrand #5	18	33	1435.50
-5002001	importoscholar #1	19	33	1434.24
-3004001	edu packexporti #1	18	49	1433.88
-4001002	amalgedu pack #2	7	40	1431.54
-4004001	edu packedu pack #1	17	37	1430.37
-1003002	exportiamalg #2	7	40	1418.18
-1002002	importoamalg #2	17	44	1415.25
-2001002	amalgimporto #2	7	8	1414.14
-5002002	importoscholar #2	17	30	1404.00
-5003001	exportischolar #1	19	10	1403.22
-7012003	importonameless #3	9	22	1399.96
-3003001	exportiexporti #1	18	33	1386.35
-3002001	importoexporti #1	17	40	1379.04
-9014011	edu packunivamalg #11	17	3	1364.52
-5003001	exportischolar #1	9	46	1361.57
-5001002	amalgscholar #2	19	51	1360.00
-2004002	edu packimporto #2	9	28	1353.15
-9015009	scholarunivamalg #9	18	9	1352.61
-5002002	importoscholar #2	17	52	1345.02
-1002002	importoamalg #2	18	27	1343.93
-6011008	amalgbrand #8	9	39	1341.93
-1004002	edu packamalg #2	17	11	1340.64
-5003001	exportischolar #1	17	11	1328.00
-6002003	importocorp #3	17	20	1327.58
-6012008	importobrand #8	9	10	1327.19
-7010003	univnameless #3	19	49	1319.57
-2003001	exportiimporto #1	9	23	1310.16
-3002002	importoexporti #2	17	45	1301.90
-3003001	exportiexporti #1	8	19	1301.37
-6011008	amalgbrand #8	9	33	1278.35
-10003004	exportiunivamalg #4	9	23	1272.43
-3004001	edu packexporti #1	18	21	1270.66
-2001002	amalgimporto #2	17	22	1269.07
-4004002	edu packedu pack #2	19	7	1264.56
-1004002	edu packamalg #2	19	0	1261.65
-10015013	scholaramalgamalg #13	9	34	1257.30
-1001001	amalgamalg #1	17	56	1250.08
-3003002	exportiexporti #2	18	26	1248.48
-9012005	importounivamalg #5	7	0	1230.20
-9015009	scholarunivamalg #9	18	40	1222.64
-3003002	exportiexporti #2	9	42	1217.28
-2001002	amalgimporto #2	7	46	1213.44
-10004001	edu packunivamalg #1	18	58	1212.96
-3001001	amalgexporti #1	9	41	1211.50
-6006007	corpcorp #7	18	59	1210.32
-5003001	exportischolar #1	18	14	1210.20
-5001001	amalgscholar #1	8	31	1205.50
-9016003	corpunivamalg #3	17	53	1200.00
-10013015	exportiamalgamalg #15	17	14	1192.50
-1002002	importoamalg #2	19	16	1182.37
-1002002	importoamalg #2	19	42	1178.88
-10012011	importoamalgamalg #11	17	31	1173.28
-3003001	exportiexporti #1	8	48	1167.05
-5002002	importoscholar #2	18	40	1159.40
-2001002	amalgimporto #2	9	3	1157.20
-5003002	exportischolar #2	19	6	1150.92
-5003001	exportischolar #1	9	29	1150.77
-10009015	maxiunivamalg #15	18	2	1150.73
-1004001	edu packamalg #1	19	2	1148.16
-3003001	exportiexporti #1	9	14	1139.60
-2001001	amalgimporto #1	17	28	1135.06
-4003001	exportiedu pack #1	6	50	1129.20
-8016004	corpmaxi #4	17	32	1127.61
-9015009	scholarunivamalg #9	18	18	1124.16
-5002001	importoscholar #1	8	48	1123.47
-8003010	exportinameless #10	9	0	1123.08
-1004002	edu packamalg #2	19	25	1117.39
-7012010	importonameless #10	19	35	1114.76
-1001002	amalgamalg #2	9	46	1114.40
-10012017	importoamalgamalg #17	17	7	1107.54
-10009015	maxiunivamalg #15	17	29	1104.61
-6010005	univbrand #5	17	24	1102.20
-6011001	amalgbrand #1	19	21	1098.30
-3002001	importoexporti #1	18	39	1094.10
-10004001	edu packunivamalg #1	17	26	1081.80
-9016003	corpunivamalg #3	19	8	1079.54
-6011005	amalgbrand #5	17	31	1071.00
-9015009	scholarunivamalg #9	18	30	1062.06
-6008007	namelesscorp #7	19	54	1058.93
-8014005	edu packmaxi #5	9	34	1058.00
-10013015	exportiamalgamalg #15	8	30	1057.80
-6006007	corpcorp #7	19	54	1055.43
-2004002	edu packimporto #2	18	28	1052.64
-1002002	importoamalg #2	9	27	1040.43
-7008009	namelessbrand #9	19	45	1037.51
-2002001	importoimporto #1	7	32	1023.75
-7012010	importonameless #10	7	19	1016.80
-5004002	edu packscholar #2	17	10	1016.60
-6015006	scholarbrand #6	19	0	1010.91
-1003001	exportiamalg #1	9	36	1007.81
-7016007	corpnameless #7	18	45	992.74
-6005001	scholarcorp #1	19	16	991.98
-5002002	importoscholar #2	18	27	986.24
-8002009	importonameless #9	9	23	983.40
-1002001	importoamalg #1	19	26	977.60
-10002012	importounivamalg #12	18	4	963.80
-1003001	exportiamalg #1	17	40	953.55
-8011009	amalgmaxi #9	19	42	951.60
-4004002	edu packedu pack #2	9	34	951.00
-4004002	edu packedu pack #2	18	18	943.66
-2002001	importoimporto #1	9	20	943.56
-8014005	edu packmaxi #5	18	24	943.00
-3002002	importoexporti #2	18	24	935.00
-8003010	exportinameless #10	7	24	931.32
-7016007	corpnameless #7	17	28	924.66
-5003002	exportischolar #2	9	14	920.46
-5001001	amalgscholar #1	19	54	920.16
-5001001	amalgscholar #1	18	23	909.48
-6002005	importocorp #5	18	4	904.12
-1002001	importoamalg #1	19	40	901.60
-5003001	exportischolar #1	6	18	901.42
-9014011	edu packunivamalg #11	8	40	896.49
-7016007	corpnameless #7	19	16	892.64
-4001002	amalgedu pack #2	17	14	886.48
-7010003	univnameless #3	18	37	883.34
-10013013	exportiamalgamalg #13	7	42	879.36
-1002001	importoamalg #1	17	32	876.30
-2003001	exportiimporto #1	18	54	864.36
-10004004	edu packunivamalg #4	19	59	861.10
-7004009	edu packbrand #9	9	36	858.73
-8014005	edu packmaxi #5	9	22	850.23
-7004009	edu packbrand #9	6	11	847.26
-4001001	amalgedu pack #1	19	58	844.90
-2003002	exportiimporto #2	6	17	842.40
-7010009	univnameless #9	17	37	841.96
-1003002	exportiamalg #2	19	33	839.90
-8004009	edu packnameless #9	17	8	829.76
-9012003	importounivamalg #3	8	59	829.20
-7012003	importonameless #3	8	51	826.89
-3002001	importoexporti #1	19	49	826.74
-9012005	importounivamalg #5	17	45	821.48
-2001002	amalgimporto #2	17	56	820.26
-2002001	importoimporto #1	19	10	818.40
-5001001	amalgscholar #1	19	18	818.09
-7016001	corpnameless #1	19	50	817.11
-10013013	exportiamalgamalg #13	17	44	814.80
-7010003	univnameless #3	18	12	811.50
-6008007	namelesscorp #7	17	20	810.46
-7016007	corpnameless #7	9	54	810.24
-9012008	importounivamalg #8	9	43	803.64
-4001001	amalgedu pack #1	17	38	796.38
-4001002	amalgedu pack #2	17	57	792.74
-5003002	exportischolar #2	19	10	790.72
-7004009	edu packbrand #9	9	8	789.88
-5001001	amalgscholar #1	19	51	778.40
-4001001	amalgedu pack #1	17	7	777.12
-3004001	edu packexporti #1	19	17	763.00
-5001002	amalgscholar #2	19	24	762.96
-9008005	namelessmaxi #5	9	52	756.42
-3002001	importoexporti #1	9	41	755.15
-5002002	importoscholar #2	18	26	755.09
-6011001	amalgbrand #1	6	46	752.80
-3002002	importoexporti #2	19	19	748.41
-5002002	importoscholar #2	19	27	745.92
-4003001	exportiedu pack #1	18	35	745.20
-6002003	importocorp #3	7	2	744.12
-3002001	importoexporti #1	19	27	738.14
-1004002	edu packamalg #2	19	5	736.92
-2002001	importoimporto #1	9	32	735.13
-4001002	amalgedu pack #2	17	6	724.80
-10012004	importoamalgamalg #4	18	33	717.21
-2004002	edu packimporto #2	9	46	716.38
-9012008	importounivamalg #8	7	51	715.44
-2002001	importoimporto #1	19	31	709.32
-8014005	edu packmaxi #5	17	11	695.64
-2001002	amalgimporto #2	8	54	688.71
-1001001	amalgamalg #1	7	31	682.08
-1003002	exportiamalg #2	8	19	681.56
-7010003	univnameless #3	19	28	672.51
-3003002	exportiexporti #2	18	29	665.01
-9008002	namelessmaxi #2	17	4	660.04
-5003002	exportischolar #2	9	57	650.43
-2003002	exportiimporto #2	8	25	650.25
-2004002	edu packimporto #2	18	57	646.34
-10003016	exportiunivamalg #16	19	34	641.39
-1001002	amalgamalg #2	19	54	634.68
-5001002	amalgscholar #2	8	59	633.36
-3004001	edu packexporti #1	18	4	633.06
-10010013	univamalgamalg #13	18	32	630.00
-1002002	importoamalg #2	19	21	628.67
-10012017	importoamalgamalg #17	17	19	625.56
-1001002	amalgamalg #2	18	45	622.21
-5002001	importoscholar #1	19	32	615.12
-4004001	edu packedu pack #1	19	50	610.50
-1004002	edu packamalg #2	8	26	608.52
-6010005	univbrand #5	7	17	598.91
-6005001	scholarcorp #1	9	9	597.30
-10012017	importoamalgamalg #17	19	11	595.65
-6011005	amalgbrand #5	19	3	594.59
-3002001	importoexporti #1	18	37	589.28
-6007003	brandcorp #3	17	26	588.80
-1002001	importoamalg #1	19	46	583.47
-2004002	edu packimporto #2	19	16	581.28
-1004002	edu packamalg #2	17	39	580.32
-6008002	namelesscorp #2	9	3	578.97
-10015013	scholaramalgamalg #13	18	20	574.24
-9015009	scholarunivamalg #9	18	31	573.93
-2003002	exportiimporto #2	19	52	568.92
-9008005	namelessmaxi #5	17	42	567.64
-7004007	edu packbrand #7	18	15	563.80
-5002002	importoscholar #2	19	0	558.98
-8004003	edu packnameless #3	18	21	558.90
-10012017	importoamalgamalg #17	8	4	558.69
-9015011	scholarunivamalg #11	19	54	555.36
-1002001	importoamalg #1	19	20	554.88
-2004002	edu packimporto #2	19	20	553.76
-1001001	amalgamalg #1	19	13	549.43
-6015006	scholarbrand #6	19	50	548.68
-10012011	importoamalgamalg #11	9	19	541.25
-3004001	edu packexporti #1	17	51	539.95
-1003001	exportiamalg #1	6	53	528.90
-10015004	scholaramalgamalg #4	19	42	525.80
-4004001	edu packedu pack #1	17	35	524.59
-8002009	importonameless #9	6	46	522.06
-5003002	exportischolar #2	17	23	520.96
-4004001	edu packedu pack #1	17	30	517.65
-7008009	namelessbrand #9	17	29	514.25
-9012005	importounivamalg #5	8	34	504.60
-10012004	importoamalgamalg #4	8	8	503.10
-3002002	importoexporti #2	18	21	490.82
-1002002	importoamalg #2	18	31	489.72
-10012011	importoamalgamalg #11	8	53	486.50
-9013009	exportiunivamalg #9	17	24	478.00
-6008002	namelesscorp #2	8	59	471.68
-10003016	exportiunivamalg #16	18	20	471.66
-8016004	corpmaxi #4	7	53	470.55
-4001001	amalgedu pack #1	17	26	469.58
-1002001	importoamalg #1	18	59	464.52
-9013009	exportiunivamalg #9	9	8	462.80
-9008002	namelessmaxi #2	9	51	458.82
-6009003	maxicorp #3	17	44	457.74
-3002001	importoexporti #1	8	5	454.77
-10012004	importoamalgamalg #4	17	24	450.90
-4004001	edu packedu pack #1	9	37	449.90
-6011008	amalgbrand #8	17	4	445.12
-10015013	scholaramalgamalg #13	8	32	438.48
-4003001	exportiedu pack #1	9	31	424.26
-3002002	importoexporti #2	8	35	421.26
-5004001	edu packscholar #1	8	30	420.28
-1002001	importoamalg #1	8	24	418.92
-1002002	importoamalg #2	17	33	416.67
-5002002	importoscholar #2	6	34	416.52
-2003002	exportiimporto #2	18	18	414.12
-3002002	importoexporti #2	9	28	414.12
-3003002	exportiexporti #2	19	24	410.00
-5003001	exportischolar #1	19	29	407.34
-5001001	amalgscholar #1	18	40	405.15
-10009015	maxiunivamalg #15	9	58	402.38
-3002001	importoexporti #1	19	35	397.71
-3003001	exportiexporti #1	17	28	389.88
-1001002	amalgamalg #2	8	38	388.35
-8003010	exportinameless #10	19	26	387.92
-7010003	univnameless #3	17	11	387.00
-6011001	amalgbrand #1	8	8	386.54
-1003001	exportiamalg #1	6	10	386.40
-5001001	amalgscholar #1	17	1	384.75
-5004002	edu packscholar #2	18	15	379.68
-5001002	amalgscholar #2	9	39	378.56
-3002002	importoexporti #2	9	12	378.08
-5002001	importoscholar #1	8	1	377.57
-6006007	corpcorp #7	18	53	375.36
-1003002	exportiamalg #2	18	0	374.99
-5003001	exportischolar #1	18	43	374.68
-8002009	importonameless #9	8	46	371.42
-3002001	importoexporti #1	17	33	369.75
-3003002	exportiexporti #2	9	20	367.90
-5002001	importoscholar #1	18	53	365.10
-7015007	scholarnameless #7	18	44	357.84
-8014005	edu packmaxi #5	17	2	352.36
-10004004	edu packunivamalg #4	19	3	344.64
-4001002	amalgedu pack #2	8	50	341.33
-6010005	univbrand #5	9	8	339.83
-9012005	importounivamalg #5	8	3	339.57
-2001002	amalgimporto #2	18	49	333.66
-1002002	importoamalg #2	17	4	330.01
-8011009	amalgmaxi #9	19	26	328.35
-5002002	importoscholar #2	9	7	328.26
-9008002	namelessmaxi #2	18	6	327.95
-5001001	amalgscholar #1	17	19	323.90
-5003002	exportischolar #2	17	26	320.31
-3002001	importoexporti #1	18	31	319.90
-8013007	exportimaxi #7	17	49	318.20
-6011008	amalgbrand #8	8	13	315.10
-3003002	exportiexporti #2	7	37	313.24
-7014001	edu packnameless #1	18	38	312.80
-1003002	exportiamalg #2	19	42	304.64
-2004002	edu packimporto #2	9	24	304.36
-3003001	exportiexporti #1	8	58	302.40
-4004001	edu packedu pack #1	19	11	300.48
-6012005	importobrand #5	19	25	299.52
-4004001	edu packedu pack #1	19	48	276.92
-2001002	amalgimporto #2	18	20	276.77
-2002001	importoimporto #1	18	1	273.60
-1004002	edu packamalg #2	8	49	264.60
-8003010	exportinameless #10	19	57	263.19
-4003001	exportiedu pack #1	18	37	260.23
-3003001	exportiexporti #1	9	48	258.39
-7012003	importonameless #3	9	2	258.24
-5002001	importoscholar #1	18	38	257.53
-6005001	scholarcorp #1	17	43	256.48
-5001002	amalgscholar #2	17	44	255.00
-4001002	amalgedu pack #2	7	6	253.80
-2001002	amalgimporto #2	19	25	253.50
-1001001	amalgamalg #1	8	16	253.34
-5002002	importoscholar #2	17	51	252.56
-1002002	importoamalg #2	18	29	250.80
-9015009	scholarunivamalg #9	8	28	248.27
-3001001	amalgexporti #1	19	57	247.68
-6003008	exporticorp #8	18	47	244.44
-1004002	edu packamalg #2	19	9	242.25
-2004001	edu packimporto #1	17	48	241.50
-3003002	exportiexporti #2	9	27	234.60
-1001001	amalgamalg #1	19	54	234.00
-2002001	importoimporto #1	18	33	232.56
-4003001	exportiedu pack #1	19	20	231.99
-5003001	exportischolar #1	19	27	231.84
-2001002	amalgimporto #2	18	4	229.32
-4001001	amalgedu pack #1	19	45	227.84
-5002002	importoscholar #2	17	27	227.52
-5004001	edu packscholar #1	18	30	225.21
-2002001	importoimporto #1	17	51	222.80
-7004009	edu packbrand #9	19	36	221.85
-3003002	exportiexporti #2	17	21	221.20
-8005008	scholarnameless #8	18	20	220.83
-6003008	exporticorp #8	17	16	218.16
-6008005	namelesscorp #5	18	51	216.69
-9008002	namelessmaxi #2	17	28	215.76
-2001002	amalgimporto #2	9	27	213.64
-6015006	scholarbrand #6	6	14	212.28
-6015006	scholarbrand #6	19	26	211.85
-4001001	amalgedu pack #1	9	48	211.32
-1004002	edu packamalg #2	7	2	210.14
-3002001	importoexporti #1	9	26	209.95
-6010005	univbrand #5	17	3	208.32
-7004009	edu packbrand #9	17	25	208.25
-7010004	univnameless #4	19	23	208.20
-9012005	importounivamalg #5	18	4	205.70
-3003001	exportiexporti #1	7	23	203.61
-1001002	amalgamalg #2	19	48	203.28
-4003001	exportiedu pack #1	8	1	202.30
-2004001	edu packimporto #1	19	10	202.12
-4001002	amalgedu pack #2	17	53	198.33
-6010005	univbrand #5	8	18	197.37
-3003001	exportiexporti #1	17	6	196.38
-1004001	edu packamalg #1	17	26	194.18
-7004009	edu packbrand #9	17	42	193.39
-3001001	amalgexporti #1	17	33	191.98
-1001002	amalgamalg #2	17	26	190.50
-3002001	importoexporti #1	8	1	186.93
-9015009	scholarunivamalg #9	19	9	186.30
-2003001	exportiimporto #1	19	11	184.90
-6003008	exporticorp #8	6	32	182.90
-4003001	exportiedu pack #1	17	45	182.28
-9015009	scholarunivamalg #9	17	32	181.60
-6011008	amalgbrand #8	9	14	178.22
-2002001	importoimporto #1	18	34	177.79
-9012005	importounivamalg #5	19	25	176.67
-6008002	namelesscorp #2	17	31	176.19
-8013009	exportimaxi #9	19	25	174.96
-2004001	edu packimporto #1	18	42	172.48
-8013009	exportimaxi #9	19	31	168.82
-3003001	exportiexporti #1	9	1	156.98
-7010009	univnameless #9	9	22	155.40
-4004001	edu packedu pack #1	9	32	154.79
-3003002	exportiexporti #2	19	36	154.38
-3003001	exportiexporti #1	9	6	151.92
-1001001	amalgamalg #1	9	41	148.05
-9015009	scholarunivamalg #9	8	38	147.92
-5003001	exportischolar #1	19	28	147.14
-2001001	amalgimporto #1	18	47	142.29
-5002001	importoscholar #1	8	52	141.15
-6002003	importocorp #3	17	53	140.40
-2003002	exportiimporto #2	9	49	137.40
-10003016	exportiunivamalg #16	19	4	137.40
-4001001	amalgedu pack #1	7	58	135.78
-7010004	univnameless #4	17	26	129.50
-5003001	exportischolar #1	9	43	129.24
-1003002	exportiamalg #2	7	42	127.68
-6008002	namelesscorp #2	19	53	127.32
-5001001	amalgscholar #1	9	38	126.56
-2002001	importoimporto #1	17	40	126.49
-4004001	edu packedu pack #1	18	52	122.67
-5001001	amalgscholar #1	17	10	118.36
-2002001	importoimporto #1	17	38	116.16
-5003001	exportischolar #1	8	1	116.10
-8005008	scholarnameless #8	8	19	111.68
-8004009	edu packnameless #9	8	59	110.90
-9014011	edu packunivamalg #11	19	9	110.12
-1002002	importoamalg #2	19	52	109.44
-2001002	amalgimporto #2	18	31	108.78
-3002001	importoexporti #1	17	1	108.45
-2002001	importoimporto #1	19	15	107.64
-3004001	edu packexporti #1	18	16	106.60
-1004002	edu packamalg #2	9	12	103.87
-3003001	exportiexporti #1	19	16	101.58
-3004001	edu packexporti #1	17	1	100.80
-6002005	importocorp #5	9	41	99.00
-4003001	exportiedu pack #1	9	47	98.25
-7010009	univnameless #9	8	48	95.36
-3002001	importoexporti #1	6	50	95.22
-7016001	corpnameless #1	9	37	93.22
-3004001	edu packexporti #1	9	40	91.77
-9012005	importounivamalg #5	6	45	91.35
-5002001	importoscholar #1	19	31	91.20
-8004003	edu packnameless #3	8	39	90.64
-8004003	edu packnameless #3	8	11	87.12
-5003001	exportischolar #1	17	9	87.10
-6009003	maxicorp #3	6	4	87.00
-9014011	edu packunivamalg #11	7	58	86.57
-2002001	importoimporto #1	17	0	86.10
-5001001	amalgscholar #1	19	27	85.65
-8003010	exportinameless #10	17	7	85.50
-6011008	amalgbrand #8	18	29	83.68
-10013013	exportiamalgamalg #13	19	39	81.96
-9015009	scholarunivamalg #9	9	32	81.84
-1004002	edu packamalg #2	7	41	81.59
-4004001	edu packedu pack #1	19	13	80.24
-5001002	amalgscholar #2	9	46	78.68
-10012017	importoamalgamalg #17	17	29	76.50
-2001002	amalgimporto #2	19	45	76.36
-7008009	namelessbrand #9	17	43	75.36
-1003001	exportiamalg #1	9	44	73.92
-3001001	amalgexporti #1	17	38	72.96
-2001001	amalgimporto #1	19	48	72.03
-2004001	edu packimporto #1	19	45	70.40
-7010009	univnameless #9	17	54	69.56
-1002001	importoamalg #1	18	10	68.37
-7009010	maxibrand #10	9	38	66.30
-2001002	amalgimporto #2	18	1	65.00
-9012003	importounivamalg #3	8	13	64.64
-1002001	importoamalg #1	8	1	64.48
-10015013	scholaramalgamalg #13	17	10	64.26
-8005005	scholarnameless #5	17	19	63.70
-4001002	amalgedu pack #2	7	45	63.47
-6016003	corpbrand #3	7	0	63.20
-4004001	edu packedu pack #1	7	34	62.68
-4003001	exportiedu pack #1	9	12	62.26
-2004002	edu packimporto #2	18	37	56.75
-5002002	importoscholar #2	19	10	55.68
-10010013	univamalgamalg #13	9	26	54.80
-9015009	scholarunivamalg #9	8	47	54.20
-7004007	edu packbrand #7	17	8	53.20
-2004002	edu packimporto #2	8	39	51.68
-10015013	scholaramalgamalg #13	8	18	51.48
-10012011	importoamalgamalg #11	19	25	48.45
-1003002	exportiamalg #2	19	10	46.80
-5003001	exportischolar #1	17	25	46.72
-1002001	importoamalg #1	18	21	45.32
-5003002	exportischolar #2	8	21	43.89
-6011008	amalgbrand #8	9	50	42.50
-3003001	exportiexporti #1	17	42	42.08
-6011005	amalgbrand #5	18	40	41.54
-1001002	amalgamalg #2	19	41	41.52
-7010004	univnameless #4	18	21	41.46
-9015011	scholarunivamalg #11	17	40	40.70
-5004002	edu packscholar #2	17	22	39.36
-6016003	corpbrand #3	19	50	39.20
-3003002	exportiexporti #2	19	37	38.80
-3002001	importoexporti #1	17	0	38.34
-5002001	importoscholar #1	17	58	38.27
-8014005	edu packmaxi #5	18	14	37.80
-6015006	scholarbrand #6	17	2	37.29
-9013009	exportiunivamalg #9	9	16	34.78
-4001001	amalgedu pack #1	9	29	34.76
-10013013	exportiamalgamalg #13	18	27	34.23
-7012010	importonameless #10	18	37	33.83
-2001002	amalgimporto #2	19	19	33.20
-7016001	corpnameless #1	18	53	32.24
-6003008	exporticorp #8	17	56	31.08
-5004001	edu packscholar #1	18	27	31.02
-7010004	univnameless #4	19	51	30.16
-8002009	importonameless #9	19	8	29.84
-8005005	scholarnameless #5	9	15	29.20
-3002002	importoexporti #2	9	53	27.74
-5003001	exportischolar #1	9	3	26.76
-4004001	edu packedu pack #1	18	22	26.00
-9015009	scholarunivamalg #9	18	26	25.96
-6016003	corpbrand #3	19	59	23.73
-4001001	amalgedu pack #1	17	54	22.38
-1002001	importoamalg #1	19	53	22.28
-6003008	exporticorp #8	18	36	22.08
-5003001	exportischolar #1	17	4	21.70
-10012004	importoamalgamalg #4	19	4	20.91
-5003001	exportischolar #1	17	46	17.63
-4004001	edu packedu pack #1	18	30	17.50
-3004001	edu packexporti #1	7	45	17.11
-1003001	exportiamalg #1	19	52	15.81
-6011001	amalgbrand #1	8	42	15.81
-6010005	univbrand #5	8	8	15.47
-2003001	exportiimporto #1	17	18	15.17
-2001002	amalgimporto #2	19	6	14.72
-8011009	amalgmaxi #9	19	15	14.04
-4003001	exportiedu pack #1	19	39	13.49
-3003001	exportiexporti #1	19	20	13.26
-5002002	importoscholar #2	9	16	13.13
-8011009	amalgmaxi #9	8	23	12.88
-6016003	corpbrand #3	19	57	12.48
-1001002	amalgamalg #2	9	28	12.47
-6016003	corpbrand #3	17	58	12.40
-6008005	namelesscorp #5	19	2	10.59
-3004001	edu packexporti #1	19	47	10.00
-9015011	scholarunivamalg #11	17	17	8.60
-6008007	namelesscorp #7	19	15	7.36
-4004001	edu packedu pack #1	9	41	7.14
-4003001	exportiedu pack #1	17	4	6.84
-1002001	importoamalg #1	9	56	6.44
-6003008	exporticorp #8	18	8	5.15
-3001001	amalgexporti #1	17	18	3.96
-6008005	namelesscorp #5	9	19	3.22
-6016003	corpbrand #3	17	8	2.65
-5001001	amalgscholar #1	8	41	0.30
-3003001	exportiexporti #1	18	15	0.00
-3003002	exportiexporti #2	6	35	0.00
-4003001	exportiedu pack #1	18	33	0.00
-4004002	edu packedu pack #2	17	57	0.00
-5001002	amalgscholar #2	8	25	0.00
-5003001	exportischolar #1	17	36	0.00
-6012008	importobrand #8	9	0	0.00
-7012010	importonameless #10	18	50	0.00
-9012005	importounivamalg #5	9	12	0.00
-2002001	importoimporto #1	9	58	\N
-2003002	exportiimporto #2	9	27	\N
-2004002	edu packimporto #2	9	7	\N
-5003002	exportischolar #2	9	20	\N
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q72.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q72.out
deleted file mode 100644
index b26d31b957..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q72.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q72 --
-Best possible ages tell together new, st	Conventional childr	5213	0	2	2
-Closed, good condition	Doors canno	5169	0	2	2
-Departments make once again police. Very acceptable results call still extended, known ends; relationships shoot strangely. Acids shall discharge in order ethnic, ric		5168	0	2	2
-Futures should enjoy able galleries. Late blue tickets pass longer urgently dead types. Shoulders will see rigidly institutions. Other con	Conventional childr	5210	0	2	2
-Good, open studies dream more; industrial, social organisations could understand recently quick tall theories. Lines must answer functions; subtle factor	Important issues liv	5214	0	2	2
-Hard sudden aspects shall not commemorate about a functions. Western, british cases see here churches. Stairs a	Doors canno	5212	0	2	2
-High, essential groups should not weigh more other years; there different papers could announce; large departments c	Important issues liv	5198	0	2	2
-Just young partie	Important issues liv	5213	0	2	2
-Levels undermine unfortunately efficient weeks		5210	0	2	2
-New, full rises drive however. Legs retain often in a women. Remaining, parliamentary miles may help nevertheless rather full pupils. Glad crimes might	Bad cards must make.	5217	0	2	2
-Provisions go too. Sad others contain italian branches. Keys k	Bad cards must make.	5213	0	2	2
-Provisions go too. Sad others contain italian branches. Keys k	Doors canno	5213	0	2	2
-Shortly desperate nat	Conventional childr	5210	0	2	2
-True tears continue currently pale, close men. Soon medical numbers might not take other, 	Important issues liv	5199	0	2	2
-White employees name; figures feed sure. Speeches can achieve. Extremely final seats may exist too all religious studies. Medite	Bad cards must make.	5168	0	2	2
-Words use up a documents. Collections may	Conventional childr	5168	0	2	2
-Words use up a documents. Collections may	Important issues liv	5168	0	2	2
-		5175	0	1	1
-		5217	0	1	1
-	Doors canno	5175	0	1	1
-	Doors canno	5207	0	1	1
-	Important issues liv	5205	0	1	1
-A little average flames ought to break old, unique men. Things select often red, economic others. Hands will lift sufficiently; german, proper sections worry perhaps for the po		5212	0	1	1
-Abilities would not require almost; local	Bad cards must make.	5197	0	1	1
-Able	Conventional childr	5177	0	1	1
-Able hands help however inevitable policemen. Far true matters will not forgive never hands. Absolutely french events stop now. Well able procedures unde	Conventional childr	5195	0	1	1
-Able hands help however inevitable policemen. Far true matters will not forgive never hands. Absolutely french events stop now. Well able procedures unde	Doors canno	5195	0	1	1
-Able, alternative police shall not give so other complaints. There complex 		5212	0	1	1
-Able, long mammals can want new, serious years. Questions would not cope again mainly unable contributions. Less responsible shelves lose records; leading, similar 	Important issues liv	5170	0	1	1
-Able, main parties think really. Resources arrive only independent, old representations. Small, double advantages 	Doors canno	5213	0	1	1
-Able, main parties think really. Resources arrive only independent, old representations. Small, double advantages 	Important issues liv	5180	0	1	1
-About international concentrations could avoid then alone apparent activities; inadequate, mediterranean days get eve	Important issues liv	5215	0	1	1
-About natural economie	Bad cards must make.	5202	0	1	1
-About other levels should proceed certainly fine, severe facts.	Important issues liv	5210	0	1	1
-About working feelings could produce only types. Electoral, new visitors will not make more afraid, large tr		5197	0	1	1
-Absolutely	Bad cards must make.	5203	0	1	1
-Absolutely	Doors canno	5203	0	1	1
-Absolutely 		5206	0	1	1
-Absolutely front men turn spatial hours. Good, free sales used to marry outside appropriate ships. Noble men sa		5207	0	1	1
-Absolutely old payments will b	Doors canno	5216	0	1	1
-Accused men cannot increase e	Important issues liv	5207	0	1	1
-Acids grab below previous standards. Ever large metals will come on a articles. Underlying stories protect at last. Reasonable directions believe rather due to a	Bad cards must make.	5169	0	1	1
-Active plants need necessary, widespread roads. Best back visits hold regularly fresh friend		5209	0	1	1
-Active plants need necessary, widespread roads. Best back visits hold regularly fresh friend	Conventional childr	5209	0	1	1
-Active windows shall not find small, relig	Conventional childr	5203	0	1	1
-Actively different proceedings light yet so similar houses. Good circumstances shall not take only levels. Then moral pounds will clean very only national organisations. 		5183	0	1	1
-Activities say. Right lips resort current techniques. Regional, possible daughters might not present changes; students can notice ridiculous, l	Conventional childr	5192	0	1	1
-Acts	Bad cards must make.	5218	0	1	1
-Acts	Conventional childr	5218	0	1	1
-Actual, grey hands giv		5214	0	1	1
-Acute, important performances afford. New, nuclear men used to assess again small results.		5187	0	1	1
-Added, similar grounds spend also concrete terms. Fellow, mass	Important issues liv	5206	0	1	1
-Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the 	Doors canno	5216	0	1	1
-Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the 	Important issues liv	5214	0	1	1
-Adequate things reassure unknown legs. Old, possible bishops shall locate else during a companies; bitter, alone 	Bad cards must make.	5206	0	1	1
-Adequately unemployed aspects ought to keep on a years. Years get somewhere sometimes late examples; laws must shape determined stones. Recently real decisions may cost now other female thousands. 	Conventional childr	5214	0	1	1
-Adequately unemployed aspects ought to keep on a years. Years get somewhere sometimes late examples; laws must shape determined stones. Recently real decisions may cost now other female thousands. 	Important issues liv	5214	0	1	1
-Adults throw close recent women. Orange, guilty libraries let earnings. Initiatives ought to walk. Simple, successful states might work eventually full orders. Formerly very 		5206	0	1	1
-Adults throw close recent women. Orange, guilty libraries let earnings. Initiatives ought to walk. Simple, successful states might work eventually full orders. Formerly very 	Bad cards must make.	5206	0	1	1
-Advanced, certain fields miss electronically for the books. Open measures match therefore s	Doors canno	5196	0	1	1
-Advanced, certain fields miss electronically for the books. Open measures match therefore s	Important issues liv	5210	0	1	1
-Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair		5206	0	1	1
-Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair	Doors canno	5186	0	1	1
-Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair	Important issues liv	5186	0	1	1
-Afraid years suspend much building		5171	0	1	1
-Afraid, grey officers mean costly institutions. Societi	Conventional childr	5199	0	1	1
-Afraid, old meals will get chronic, strong applicants. Arms could look with a needs. Hence wor	Important issues liv	5210	0	1	1
-Afraid, southern problems need according to a dec	Conventional childr	5207	0	1	1
-Afraid, southern problems need according to a dec	Important issues liv	5207	0	1	1
-Again available bags breathe good circumstances. Thus final cases must 	Bad cards must make.	5214	0	1	1
-Again available bags breathe good circumstances. Thus final cases must 	Conventional childr	5218	0	1	1
-Again judicial colours may blame fully british strange groups. Rules shall cover probably participants. W		5214	0	1	1
-Again small deaths could flou	Bad cards must make.	5175	0	1	1
-Agencies shall not consider false in a others. Obviously interesting authorities come anyway men. Small, 	Important issues liv	5206	0	1	1
-Agents see companies. Weekly clergy might not enable always mere studies. Men throw possible relations. Then static rights wr	Conventional childr	5209	0	1	1
-Ago foreign writings leave; even considerable artists let fully then minimal workers. Clear ministers keep. Specifically dry men increase central tests. Living, alternative meanings ought	Important issues liv	5180	0	1	1
-Ago regional objects finish courts. Large, serio	Bad cards must make.	5187	0	1	1
-Agricultural, difficult engines marry according to the things; instances shall not go however quietly statutory images. Still sharp patients work no doubt producers. Magazines 	Doors canno	5210	0	1	1
-Agricultural, selective groups follow much worthwhile panels. Fully sim	Bad cards must make.	5207	0	1	1
-Aims play already	Doors canno	5198	0	1	1
-Al		5167	0	1	1
-All 	Bad cards must make.	5175	0	1	1
-All 	Important issues liv	5210	0	1	1
-All numerous reasons explain upper teachers; necessary, inte	Bad cards must make.	5181	0	1	1
-All realistic employees should attempt all only expert parties. Complete days cannot come as possible rules. Normal candidates would not pay there improved, o	Doors canno	5204	0	1	1
-All right deliberate difficulties wait still between a seats; final, actual jobs may mee	Bad cards must make.	5212	0	1	1
-All right deliberate difficulties wait still between a seats; final, actual jobs may mee	Conventional childr	5174	0	1	1
-All right used men must demand. Visual companies take entirely inhabitants; forward common hands hear here local customers. So traditional questions shal	Doors canno	5188	0	1	1
-Alm	Important issues liv	5204	0	1	1
-Almost armed animals will maintain always pure, professional days; differe	Conventional childr	5175	0	1	1
-Almost armed animals will maintain always pure, professional days; differe	Doors canno	5175	0	1	1
-Almost armed animals will maintain always pure, professional days; differe	Important issues liv	5175	0	1	1
-Almost low provisions suggest to	Conventional childr	5211	0	1	1
-Almost separate f		5215	0	1	1
-Almost separate f	Bad cards must make.	5215	0	1	1
-Alone days must undertake children; pages will face cases. Days fit especially black standards. Certain, involved numbers may not intend high, 	Conventional childr	5176	0	1	1
-Alone relevant nights pretend so complete years. Currently new unions make horizontally bills. Most political troops could give most possible, australian elements; flowers shall recall most pop	Important issues liv	5212	0	1	1
-Alone working-class dates open from a issues. Most european concessions will not tell personal areas; central, poor officials might not act 	Doors canno	5197	0	1	1
-Alone, small conditions get either likely companies. Inner, long-term patients make hot rebels. Procedures see fi	Important issues liv	5215	0	1	1
-Already european mothers ought to impose big ever fixed parents. Dominant groups say even. Here basic weeks set as winners. Modern, young prayers release very environ	Doors canno	5215	0	1	1
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q73.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q73.out
deleted file mode 100644
index b273ecff0d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q73.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q73 --
-Greene	Clarence		N	1541	5
-Peterson	Chantell	Miss	N	47551	5
-Scott	Anne	Dr.	N	86396	5
-Wheeler	Ashley	Mrs.	N	174863	5
-Dion	Alva	Mrs.	N	113766	4
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q74.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q74.out
deleted file mode 100644
index e4b658d4bb..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q74.out
+++ /dev/null
@@ -1,95 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q74 --
-AAAAAAAAAMGDAAAA	Kenneth	Harlan
-AAAAAAAAANFAAAAA	Philip	Banks
-AAAAAAAAAOPFBAAA	Jerry	Fields
-AAAAAAAABLEIBAAA	Paula	Wakefield
-AAAAAAAABNBBAAAA	Irma	Smith
-AAAAAAAACADPAAAA	Cristobal	Thomas
-AAAAAAAACFCGBAAA	Marcus	Sanders
-AAAAAAAACFENAAAA	Christopher	Dawson
-AAAAAAAACIJMAAAA	Elizabeth	Thomas
-AAAAAAAACJDIAAAA	James	Kerr
-AAAAAAAACNAGBAAA	Virginia	May
-AAAAAAAADBEFBAAA	Bennie	Bowers
-AAAAAAAADCKOAAAA	Robert	Gonzalez
-AAAAAAAADFIEBAAA	John	Gray
-AAAAAAAADFKABAAA	Latoya	Craft
-AAAAAAAADIIOAAAA	David	Carroll
-AAAAAAAADIJGBAAA	Ruth	Sanders
-AAAAAAAADLHBBAAA	Henry	Bertrand
-AAAAAAAAEADJAAAA	Ruth	Carroll
-AAAAAAAAEJDLAAAA	Alice	Wright
-AAAAAAAAEKFPAAAA	Annika	Chin
-AAAAAAAAEKJLAAAA	Aisha	Carlson
-AAAAAAAAEOAKAAAA	Molly	Benjamin
-AAAAAAAAEPOGAAAA	Felisha	Mendes
-AAAAAAAAFACEAAAA	Priscilla	Miller
-AAAAAAAAFBAHAAAA	Michael	Williams
-AAAAAAAAFGIGAAAA	Eduardo	Miller
-AAAAAAAAFGPGAAAA	Albert	Wadsworth
-AAAAAAAAFHACBAAA		
-AAAAAAAAFJHFAAAA	Larissa	Roy
-AAAAAAAAFMHIAAAA	Emilio	Darling
-AAAAAAAAFOGIAAAA	Michelle	Greene
-AAAAAAAAFOJAAAAA	Don	Castillo
-AAAAAAAAGEHIAAAA	Tyler	Miller
-AAAAAAAAGFMDBAAA	Kathleen	Gibson
-AAAAAAAAGHPBBAAA	Nick	Mendez
-AAAAAAAAGNDAAAAA	Terry	Mcdowell
-AAAAAAAAHGOABAAA	Sonia	White
-AAAAAAAAHHCABAAA	William	Stewart
-AAAAAAAAHJLAAAAA	Audrey	Beltran
-AAAAAAAAHMJNAAAA	Ryan	Baptiste
-AAAAAAAAHMOIAAAA	Grace	Henderson
-AAAAAAAAHNFHAAAA	Rebecca	Wilson
-AAAAAAAAIADEBAAA	Diane	Aldridge
-AAAAAAAAIBAEBAAA	Sandra	Wilson
-AAAAAAAAIBFCBAAA	Ruth	Grantham
-AAAAAAAAIBHHAAAA	Jennifer	Ballard
-AAAAAAAAICHFAAAA	Linda	Mccoy
-AAAAAAAAIDKFAAAA	Michael	Mack
-AAAAAAAAIJEMAAAA	Charlie	Cummings
-AAAAAAAAIMHBAAAA	Kathy	Knowles
-AAAAAAAAIMHHBAAA	Lillian	Davidson
-AAAAAAAAJEKFBAAA	Norma	Burkholder
-AAAAAAAAJGMMAAAA	Richard	Larson
-AAAAAAAAJIALAAAA	Santos	Gutierrez
-AAAAAAAAJKBNAAAA	Julie	Kern
-AAAAAAAAJONHBAAA	Warren	Orozco
-AAAAAAAAKAECAAAA	Milton	Mackey
-AAAAAAAAKBCABAAA	Debra	Bell
-AAAAAAAAKJBKAAAA	Georgia	Scott
-AAAAAAAAKJBLAAAA	Kerry	Davis
-AAAAAAAAKKGEAAAA	Katie	Dunbar
-AAAAAAAAKLHHBAAA	Manuel	Castaneda
-AAAAAAAAKNAKAAAA	Gladys	Banks
-AAAAAAAAKOJJAAAA	Gracie	Mendoza
-AAAAAAAALFKKAAAA	Ignacio	Miller
-AAAAAAAALHMCAAAA	Brooke	Nelson
-AAAAAAAALIOPAAAA	Derek	Allen
-AAAAAAAALJNCBAAA	George	Gamez
-AAAAAAAAMDCAAAAA	Louann	Hamel
-AAAAAAAAMFFLAAAA	Margret	Gray
-AAAAAAAAMMOBBAAA	Margaret	Smith
-AAAAAAAANFBDBAAA	Vernice	Fernandez
-AAAAAAAANGDBBAAA	Carlos	Jewell
-AAAAAAAANIPLAAAA	Eric	Lawrence
-AAAAAAAANJAGAAAA	Allen	Hood
-AAAAAAAANJHCBAAA	Christopher	Schreiber
-AAAAAAAAOBADBAAA	Elizabeth	Burnham
-AAAAAAAAOCAJAAAA	Jenna	Staton
-AAAAAAAAOCDJAAAA	Nina	Sanchez
-AAAAAAAAOCICAAAA	Zachary	Pennington
-AAAAAAAAOCLBBAAA		
-AAAAAAAAOFLCAAAA	James	Taylor
-AAAAAAAAOPDLAAAA	Ann	Pence
-AAAAAAAAPDFBAAAA	Terrance	Banks
-AAAAAAAAPEHEBAAA	Edith	Molina
-AAAAAAAAPFCLAAAA	Felicia	Neville
-AAAAAAAAPJENAAAA	Ashley	Norton
-AAAAAAAAPKBCBAAA	Andrea	White
-AAAAAAAAPKIKAAAA	Wendy	Horvath
-AAAAAAAAPMMBBAAA	Paul	Jordan
-AAAAAAAAPPIBBAAA	Candice	Lee
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q75.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q75.out
deleted file mode 100644
index 667ee26390..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q75.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q75 --
-2001	2002	9011004	11	9	730	6136	3927	-2209	-64592.85999999996
-2001	2002	9004008	4	9	454	6130	4012	-2118	-137401.99000000005
-2001	2002	9006010	6	9	373	6584	4510	-2074	-56824.26999999993
-2001	2002	9003002	3	9	331	6314	4249	-2065	-162310.86999999994
-2001	2002	9016002	16	9	761	6098	4109	-1989	-75674.22999999992
-2001	2002	2001001	7	9	85	5689	3750	-1939	-79485.06999999995
-2001	2002	9011010	11	9	254	6635	4698	-1937	-108841.58999999997
-2001	2002	9003002	3	9	1000	6152	4220	-1932	-51341.52000000002
-2001	2002	9009010	1	9	311	6980	5065	-1915	-166624.09999999998
-2001	2002	9003004	3	9	25	6382	4612	-1770	-109080.79999999987
-2001	2002	9008008	8	9	322	5391	3664	-1727	-58283.91000000003
-2001	2002	3004001	1	9	89	6307	4616	-1691	-105539.1000000001
-2001	2002	9014004	12	9	423	6427	4742	-1685	-66528.44999999992
-2001	2002	1001001	5	9	172	5642	3998	-1644	-65808.52000000005
-2001	2002	8007009	9	9	322	5493	3906	-1587	-31458.77999999997
-2001	2002	9015002	15	9	303	5722	4211	-1511	-81847.95000000001
-2001	2002	8015003	4	9	289	6413	4905	-1508	-140884.23000000004
-2001	2002	9002008	2	9	202	5758	4287	-1471	-27415.18000000008
-2001	2002	9004002	4	9	55	5596	4196	-1400	-277.9199999999837
-2001	2002	9010002	10	9	432	5153	3767	-1386	-56643.31
-2001	2002	9015003	15	9	278	5120	3745	-1375	-61503.399999999965
-2001	2002	5001001	10	9	136	5271	3918	-1353	-52691.73999999996
-2001	2002	9007002	7	9	207	6416	5088	-1328	-28312.290000000037
-2001	2002	9016004	8	9	114	5560	4263	-1297	-65169.899999999965
-2001	2002	9007004	7	9	968	5625	4330	-1295	-86120.30000000005
-2001	2002	9008008	8	9	535	6155	4861	-1294	-66647.46999999991
-2001	2002	3003001	1	9	175	6170	4892	-1278	-72260.64000000001
-2001	2002	9010004	3	9	948	5640	4387	-1253	-34985.50999999998
-2001	2002	9012008	12	9	249	5254	4002	-1252	-15484.879999999946
-2001	2002	9015008	15	9	281	5558	4315	-1243	10022.909999999974
-2001	2002	9006004	6	9	620	4822	3594	-1228	-19309.880000000005
-2001	2002	9010008	10	9	171	6500	5279	-1221	-73654.23000000001
-2001	2002	9004008	4	9	256	5366	4164	-1202	-93628.45999999996
-2001	2002	9008008	8	9	82	6042	4852	-1190	-78558.05000000005
-2001	2002	9014010	2	9	727	6579	5396	-1183	-45368.94
-2001	2002	10002014	1	9	12	5662	4515	-1147	-47170.69999999998
-2001	2002	9005002	5	9	105	5650	4508	-1142	-75927.61000000013
-2001	2002	1001001	1	9	183	5538	4417	-1121	-34086.48999999999
-2001	2002	8015005	11	9	898	5677	4557	-1120	-49916.129999999976
-2001	2002	9016010	16	9	662	5306	4197	-1109	-29664.550000000017
-2001	2002	2001001	1	9	151	6309	5200	-1109	-13881.98000000001
-2001	2002	7007001	12	9	221	6250	5147	-1103	8445.219999999972
-2001	2002	9010008	10	9	106	5739	4637	-1102	-39967.25999999998
-2001	2002	5001001	6	9	201	5714	4615	-1099	-2073.6100000000442
-2001	2002	9002004	2	9	578	5976	4881	-1095	-26222.699999999924
-2001	2002	9013010	12	9	28	5672	4579	-1093	-61365.100000000006
-2001	2002	9003002	3	9	238	5784	4694	-1090	-52094.93000000005
-2001	2002	9012010	12	9	4	6214	5128	-1086	-41244.899999999994
-2001	2002	4003001	6	9	356	5890	4815	-1075	-19594.680000000022
-2001	2002	9009002	9	9	633	5839	4786	-1053	-40163.899999999965
-2001	2002	9006010	6	9	100	5322	4271	-1051	-65656.48999999999
-2001	2002	9003002	3	9	130	5708	4658	-1050	-121435.04999999999
-2001	2002	9011004	3	9	115	5101	4064	-1037	-38404.06999999998
-2001	2002	9006008	6	9	156	5824	4793	-1031	-16295.149999999994
-2001	2002	4004001	10	9	105	5560	4533	-1027	-29705.360000000015
-2001	2002	9009008	9	9	3	5731	4718	-1013	-62660.48000000004
-2001	2002	10005001	5	9	65	5890	4879	-1011	-57577.01000000004
-2001	2002	9007008	7	9	122	6085	5077	-1008	-108804.85999999999
-2001	2002	9001008	1	9	258	5714	4706	-1008	-73311.06999999998
-2001	2002	9003008	3	9	382	5145	4143	-1002	-23005.47999999998
-2001	2002	2001001	1	9	177	5711	4718	-993	-45422.40000000002
-2001	2002	8002001	13	9	268	5521	4545	-976	-50681.48999999999
-2001	2002	9010008	10	9	9	5549	4578	-971	45104.78999999998
-2001	2002	5002001	2	9	230	5856	4887	-969	-25537.869999999966
-2001	2002	10015001	1	9	399	6188	5225	-963	-76365.39000000001
-2001	2002	9010004	10	9	110	5035	4082	-953	-81282.12
-2001	2002	9013010	3	9	235	5771	4821	-950	-81516.66999999998
-2001	2002	9003004	3	9	311	5414	4467	-947	-19498.97999999998
-2001	2002	9007008	7	9	766	5412	4470	-942	-43150.76000000007
-2001	2002	3003001	9	9	210	5703	4761	-942	-22794.72
-2001	2002	9010008	10	9	621	5897	4955	-942	-1466.7500000000873
-2001	2002	4001001	15	9	42	5385	4444	-941	-77081.26999999996
-2001	2002	9012010	12	9	268	5363	4425	-938	-13775.610000000015
-2001	2002	4002001	2	9	891	6168	5233	-935	-54473.40000000002
-2001	2002	10011013	11	9	123	6141	5207	-934	-77290.63
-2001	2002	9005002	5	9	379	5673	4742	-931	-66550.24000000002
-2001	2002	9005002	5	9	35	6085	5166	-919	-23898.75
-2001	2002	9014008	14	9	904	5637	4725	-912	-54696.640000000014
-2001	2002	9010002	10	9	351	5553	4668	-885	-58399.98999999993
-2001	2002	9002008	2	9	603	5399	4518	-881	-8944.739999999932
-2001	2002	9005002	5	9	226	6438	5559	-879	-78309.55999999994
-2001	2002	9016008	16	9	134	5482	4617	-865	-93343.24999999997
-2001	2002	7004007	2	9	248	5385	4527	-858	-59997.869999999995
-2001	2002	9002002	2	9	556	5690	4832	-858	2965.469999999972
-2001	2002	6012003	9	9	48	5468	4620	-848	17912.880000000034
-2001	2002	9013010	13	9	288	5473	4631	-842	22917.880000000005
-2001	2002	9009008	9	9	958	5837	5002	-835	-63092.619999999995
-2001	2002	9015008	15	9	384	5348	4519	-829	-29937.399999999994
-2001	2002	1003001	3	9	242	5504	4697	-807	-10853.559999999998
-2001	2002	9011002	11	9	372	5085	4279	-806	-78551.74999999997
-2001	2002	9015002	15	9	224	5915	5112	-803	-46136.84999999995
-2001	2002	9015002	15	9	531	5831	5029	-802	-10846.840000000026
-2001	2002	2004001	16	9	443	5269	4475	-794	-28869.679999999964
-2001	2002	9003010	3	9	269	6297	5505	-792	-53827.19
-2001	2002	9007002	7	9	306	5398	4608	-790	-67953.63999999998
-2001	2002	9012004	12	9	808	5796	5006	-790	-43025.359999999986
-2001	2002	6015001	15	9	543	5041	4252	-789	3631.399999999994
-2001	2002	9004012	4	9	621	5974	5186	-788	52156.56
-2001	2002	9010008	10	9	284	5382	4597	-785	22162.919999999955
-2001	2002	9011002	11	9	42	5750	4968	-782	-87125.33000000002
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q76.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q76.out
deleted file mode 100644
index 05b28c2c51..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q76.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q76 --
-catalog	cs_ship_addr_sk	1998	1	Books	14	24660.12
-catalog	cs_ship_addr_sk	1998	1	Children	5	5064.75
-catalog	cs_ship_addr_sk	1998	1	Electronics	13	31709.80
-catalog	cs_ship_addr_sk	1998	1	Home	12	11651.18
-catalog	cs_ship_addr_sk	1998	1	Jewelry	13	13102.23
-catalog	cs_ship_addr_sk	1998	1	Men	11	17458.37
-catalog	cs_ship_addr_sk	1998	1	Music	13	6741.65
-catalog	cs_ship_addr_sk	1998	1	Shoes	9	24531.24
-catalog	cs_ship_addr_sk	1998	1	Sports	9	19244.50
-catalog	cs_ship_addr_sk	1998	1	Women	13	24864.50
-catalog	cs_ship_addr_sk	1998	2	\N	1	1535.61
-catalog	cs_ship_addr_sk	1998	2	Books	14	16581.16
-catalog	cs_ship_addr_sk	1998	2	Children	12	26195.71
-catalog	cs_ship_addr_sk	1998	2	Electronics	9	7133.74
-catalog	cs_ship_addr_sk	1998	2	Home	15	44228.54
-catalog	cs_ship_addr_sk	1998	2	Jewelry	11	6804.54
-catalog	cs_ship_addr_sk	1998	2	Men	11	11700.11
-catalog	cs_ship_addr_sk	1998	2	Music	10	32062.82
-catalog	cs_ship_addr_sk	1998	2	Shoes	7	4682.58
-catalog	cs_ship_addr_sk	1998	2	Sports	7	5470.29
-catalog	cs_ship_addr_sk	1998	2	Women	5	14928.09
-catalog	cs_ship_addr_sk	1998	3	Books	20	22224.09
-catalog	cs_ship_addr_sk	1998	3	Children	19	18667.83
-catalog	cs_ship_addr_sk	1998	3	Electronics	15	21854.97
-catalog	cs_ship_addr_sk	1998	3	Home	22	24690.28
-catalog	cs_ship_addr_sk	1998	3	Jewelry	14	4586.41
-catalog	cs_ship_addr_sk	1998	3	Men	20	30700.69
-catalog	cs_ship_addr_sk	1998	3	Music	23	44816.68
-catalog	cs_ship_addr_sk	1998	3	Shoes	20	33458.73
-catalog	cs_ship_addr_sk	1998	3	Sports	25	35679.92
-catalog	cs_ship_addr_sk	1998	3	Women	22	48029.28
-catalog	cs_ship_addr_sk	1998	4	\N	2	839.65
-catalog	cs_ship_addr_sk	1998	4	Books	28	46283.99
-catalog	cs_ship_addr_sk	1998	4	Children	40	57305.90
-catalog	cs_ship_addr_sk	1998	4	Electronics	29	42656.07
-catalog	cs_ship_addr_sk	1998	4	Home	29	29708.36
-catalog	cs_ship_addr_sk	1998	4	Jewelry	29	24689.26
-catalog	cs_ship_addr_sk	1998	4	Men	36	64378.63
-catalog	cs_ship_addr_sk	1998	4	Music	35	51308.03
-catalog	cs_ship_addr_sk	1998	4	Shoes	27	10881.49
-catalog	cs_ship_addr_sk	1998	4	Sports	33	33380.56
-catalog	cs_ship_addr_sk	1998	4	Women	35	14347.96
-catalog	cs_ship_addr_sk	1999	1	Books	14	35278.57
-catalog	cs_ship_addr_sk	1999	1	Children	13	17183.17
-catalog	cs_ship_addr_sk	1999	1	Electronics	4	153.18
-catalog	cs_ship_addr_sk	1999	1	Home	11	19895.88
-catalog	cs_ship_addr_sk	1999	1	Jewelry	9	1341.90
-catalog	cs_ship_addr_sk	1999	1	Men	9	6625.86
-catalog	cs_ship_addr_sk	1999	1	Music	10	27861.23
-catalog	cs_ship_addr_sk	1999	1	Shoes	15	5365.20
-catalog	cs_ship_addr_sk	1999	1	Sports	9	10745.83
-catalog	cs_ship_addr_sk	1999	1	Women	11	15388.74
-catalog	cs_ship_addr_sk	1999	2	Books	6	3659.91
-catalog	cs_ship_addr_sk	1999	2	Children	13	6066.50
-catalog	cs_ship_addr_sk	1999	2	Electronics	10	14915.50
-catalog	cs_ship_addr_sk	1999	2	Home	13	12035.96
-catalog	cs_ship_addr_sk	1999	2	Jewelry	6	23975.00
-catalog	cs_ship_addr_sk	1999	2	Men	13	16414.16
-catalog	cs_ship_addr_sk	1999	2	Music	13	6061.53
-catalog	cs_ship_addr_sk	1999	2	Shoes	10	12500.71
-catalog	cs_ship_addr_sk	1999	2	Sports	11	2181.52
-catalog	cs_ship_addr_sk	1999	2	Women	11	16390.31
-catalog	cs_ship_addr_sk	1999	3	Books	18	29809.59
-catalog	cs_ship_addr_sk	1999	3	Children	16	12816.74
-catalog	cs_ship_addr_sk	1999	3	Electronics	17	36415.09
-catalog	cs_ship_addr_sk	1999	3	Home	15	19664.04
-catalog	cs_ship_addr_sk	1999	3	Jewelry	20	23257.68
-catalog	cs_ship_addr_sk	1999	3	Men	19	20150.72
-catalog	cs_ship_addr_sk	1999	3	Music	20	12062.24
-catalog	cs_ship_addr_sk	1999	3	Shoes	13	14924.61
-catalog	cs_ship_addr_sk	1999	3	Sports	24	56456.44
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-catalog	cs_ship_addr_sk	1999	4	\N	1	\N
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-catalog	cs_ship_addr_sk	1999	4	Home	46	51713.78
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-catalog	cs_ship_addr_sk	1999	4	Shoes	35	48226.50
-catalog	cs_ship_addr_sk	1999	4	Sports	32	35012.19
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-catalog	cs_ship_addr_sk	2000	1	Sports	5	159.04
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-catalog	cs_ship_addr_sk	2000	2	Music	10	7181.12
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q77.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q77.out
deleted file mode 100644
index bb5c92fb41..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q77.out
+++ /dev/null
@@ -1,47 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q77 --
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-web channel	32	1166947.23	50731.53	-189061.60
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-web channel	43	1343104.79	41175.01	-227340.10
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-web channel	56	1355553.42	46633.14	-164174.45
-web channel	59	1395251.52	10683.93	-213197.75
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q78.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q78.out
deleted file mode 100644
index c830840849..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q78.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q78 --
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-2000	3397	6926	1.42	68	79.62	75.24	48	110.57	230.14
-2000	3397	6926	0.99	68	79.62	75.24	69	171.64	277.79
-2000	3397	6926	0.94	68	79.62	75.24	72	131.46	255.29
-2000	3397	6926	0.94	68	79.62	75.24	72	138.71	261.05
-2000	3397	6926	0.93	68	79.62	75.24	73	171.52	377.85
-2000	3397	6926	0.72	68	79.62	75.24	94	161.82	252.59
-2000	3691	60308	0.32	34	68.21	94.29	105	180.34	229.16
-2000	3691	60308	0.31	34	68.21	94.29	109	159.14	240.7
-2000	3691	60308	0.3	34	68.21	94.29	113	123.26	162.36
-2000	3691	60308	0.27	34	68.21	94.29	127	98.9	154.94
-2000	3691	60308	0.22	34	68.21	94.29	154	100.26	128.4
-2000	3691	60308	0.22	34	68.21	94.29	156	133.83	189.11
-2000	3691	60308	0.19	34	68.21	94.29	175	89.35	117.26
-2000	3691	60308	0.18	34	68.21	94.29	186	91.37	124.51
-2000	3691	60308	0.18	34	68.21	94.29	187	133.01	126.69
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-2000	4142	65211	1.68	94	19.82	9.98	56	110.7	135.72
-2000	4142	65211	1.62	94	19.82	9.98	58	83.84	22.88
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-2000	4142	65211	1.06	94	19.82	9.98	89	109.86	98.3
-2000	4142	65211	1.06	94	19.82	9.98	89	125.53	135.36
-2000	4823	40858	0.39	15	29.46	40.47	38	99.56	52.34
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-2000	4823	40858	0.25	15	29.46	40.47	59	149.92	80.27
-2000	4823	40858	0.25	15	29.46	40.47	61	142.3	68.26
-2000	4823	40858	0.19	15	29.46	40.47	80	86.4	57.41
-2000	4823	40858	0.15	15	29.46	40.47	102	140.67	141.09
-2000	4823	40858	0.15	15	29.46	40.47	103	158.36	116.23
-2000	4823	40858	0.13	15	29.46	40.47	119	120.56	87.44
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-2000	6133	24941	0.5	23	70.89	56.56	46	170.63	56.37
-2000	6133	24941	0.34	23	70.89	56.56	67	177.27	49.37
-2000	6133	24941	0.21	23	70.89	56.56	110	147.02	131.12
-2000	6133	24941	0.21	23	70.89	56.56	111	131.01	66.29
-2000	6133	24941	0.2	23	70.89	56.56	114	137.97	24.02
-2000	6133	24941	0.19	23	70.89	56.56	120	105.45	53.98
-2000	6133	24941	0.18	23	70.89	56.56	128	131.1	33.12
-2000	6133	24941	0.17	23	70.89	56.56	138	114.92	45.3
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-2000	6185	67634	0.04	2	47.05	6.78	53	42.78	21.68
-2000	6185	67634	0.04	2	47.05	6.78	57	95.24	74.91
-2000	6185	67634	0.03	2	47.05	6.78	59	102.78	29.84
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-2000	6194	79216	1.18	67	73.25	19.03	57	96.19	90.36
-2000	6194	79216	1.1	67	73.25	19.03	61	68.13	70.85
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-2000	7153	86796	\N	\N	76.24	50.82	102	84.14	68.99
-2000	7153	86796	\N	\N	76.24	50.82	111	113.19	64.26
-2000	7153	86796	\N	\N	76.24	50.82	114	60.81	51.69
-2000	7153	86796	\N	\N	76.24	50.82	125	27.65	16.15
-2000	7153	86796	\N	\N	76.24	50.82	129	71.82	92.85
-2000	7153	86796	\N	\N	76.24	50.82	137	60.21	41.11
-2000	7153	86796	\N	\N	76.24	50.82	151	46.15	16.66
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-2000	7261	99191	0.1	10	10.48	13.05	97	142.38	244.18
-2000	7261	99191	0.09	10	10.48	13.05	108	116.45	163.96
-2000	7261	99191	0.09	10	10.48	13.05	115	145.82	162.35
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q79.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q79.out
deleted file mode 100644
index ff311291d9..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q79.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q79 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q80.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q80.out
deleted file mode 100644
index 1c548d028d..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q80.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q80 --
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diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q81.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q81.out
deleted file mode 100644
index fd7303868b..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q81.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q81 --
-AAAAAAAAABBEAAAA	Dr.	Oscar	Fox	183	15th 	Ln	Suite P	Greenwood	Clay County	GA	38828	United States	-5.00	condo	4607.92
-AAAAAAAAADCEBAAA	Sir	Billy	Bell	690	4th Fifth	Ct.	Suite 390	Hillcrest	Spalding County	GA	33003	United States	-5.00	condo	5567.44
-AAAAAAAAAFBGAAAA	Mrs.	Erika	Buford	527	1st 	Ln	Suite 380	Lakewood	Jasper County	GA	38877	United States	-5.00	single family	5412.16
-AAAAAAAAAFLABAAA	Mr.	Richard	James	40	2nd Miller	Road	Suite 190	Arlington	Morgan County	GA	36557	United States	-5.00	apartment	2249.10
-AAAAAAAAAHOEAAAA	Mr.	Michael	Yates	349	Elm South	ST	Suite 30	Blanchard	Talbot County	GA	35985	United States	-5.00	single family	1810.13
-AAAAAAAAAIECBAAA	Miss	Elizabeth	Schneider	131	4th 	Street	Suite N	Forest Hills	Ware County	GA	39237	United States	-5.00	condo	9973.72
-AAAAAAAAAIEHBAAA	Miss	Tamara	Chestnut	934	13th Cherry	Blvd	Suite O	Antioch	Haralson County	GA	38605	United States	-5.00	condo	1639.26
-AAAAAAAAAJLNAAAA	Dr.	Sheree	Bragg	664	Elm 4th	Ave	Suite 320	Glenwood	McDuffie County	GA	33511	United States	-5.00	condo	3012.45
-AAAAAAAAAJNEBAAA	Dr.	David	Hamilton	108	Spring Wilson	Ct.	Suite F	Glenwood	Macon County	GA	33511	United States	-5.00	apartment	2567.79
-AAAAAAAAAKJOAAAA	Dr.	Gus	Stewart	883	Valley 	Drive	Suite J	Macedonia	Lanier County	GA	31087	United States	-5.00	single family	3530.28
-AAAAAAAAAMFBBAAA	Mr.	Jackson		177	8th Walnut	Ct.	Suite 300	Riverview	Jenkins County	GA	39003	United States	-5.00	single family	4875.86
-AAAAAAAAAMPKAAAA	Ms.	Elizabeth	Booth	344	Jackson North	Drive	Suite 100	Woodville	Fayette County	GA	34289	United States	-5.00	single family	2372.60
-AAAAAAAAANCLAAAA	Mr.	Raymond	Dixon	189	Jackson 7th	Parkway	Suite 360	Lakewood	Dade County	GA	38877	United States	-5.00	single family	4655.74
-AAAAAAAAANJIAAAA	Dr.	Dennis	Roper	600	Walnut 	Pkwy	Suite 140	Plainview	Barrow County	GA	33683	United States	-5.00	apartment	3500.40
-AAAAAAAAANLABAAA	Sir	Thomas	Zimmerman	496	Forest 	ST	Suite L	Saratoga	Lumpkin County	GA	32123	United States	-5.00	apartment	9193.95
-AAAAAAAAAODFAAAA	Mrs.	Kathy	Villegas	156	4th Sunset	Cir.	Suite I	Red Hill	Appling County	GA	34338	United States	-5.00	single family	2106.00
-AAAAAAAAAOEBBAAA	Sir	Benjamin	Parker	698	6th 	Drive	Suite O	Plainview	Screven County	GA	33683	United States	-5.00	apartment	3891.38
-AAAAAAAAAOEBBAAA	Sir	Benjamin	Parker	698	6th 	Drive	Suite O	Plainview	Screven County	GA	33683	United States	-5.00	apartment	9787.55
-AAAAAAAAAPBBBAAA	Sir	Donald	Littlejohn	467	Lake 	Ln	Suite 20	Riverside	Turner County	GA	39231	United States	-5.00	single family	4831.52
-AAAAAAAABABBBAAA	Mr.	David	Roe	521	Jefferson 	Parkway	Suite 120	Enterprise	Wilcox County	GA	31757	United States	-5.00	apartment	4079.80
-AAAAAAAABACGAAAA		Catherine		463	Miller 	Lane	Suite Y	Woodland	Walton County	GA	34854	United States	-5.00	apartment	8619.84
-AAAAAAAABAJHAAAA	Mrs.	Doris	Gillespie	179	Washington Chestnut	Dr.	Suite W	Jackson	Columbia County	GA	39583	United States	-5.00	condo	4617.58
-AAAAAAAABANGBAAA	Mr.	Ralph	Condon	755	Davis 	Blvd	Suite 280	Antioch	Pike County	GA	38605	United States	-5.00	condo	14966.24
-AAAAAAAABBHKAAAA	Mrs.	Kristin	Grant	870	Ash Park	Ave	Suite 300	Lakeview	Harris County	GA	38579	United States	-5.00	single family	3580.44
-AAAAAAAABBOBBAAA	Mr.	Herman	Rivera	396	Walnut 	Cir.	Suite P	Athens	Baldwin County	GA	36796	United States	-5.00	single family	4608.96
-AAAAAAAABCAOAAAA	Dr.	Brenda	Bell	562	7th Park	Road	Suite 320	Edgewood	Troup County	GA	30069	United States	-5.00	apartment	3721.03
-AAAAAAAABCIMAAAA	Dr.	Becky	Seals	174	Park Park	Ct.	Suite H	Green Acres	Schley County	GA	37683	United States	-5.00	single family	2980.15
-AAAAAAAABDHFAAAA	Mr.	Charles	Miller	531	Church 14th	Circle	Suite 60	Ashland	Franklin County	GA	34244	United States	-5.00	apartment	3241.85
-AAAAAAAABEHABAAA	Dr.	Gregory		391	Seventh 	Road	Suite Q	Oakwood	Liberty County	GA	30169	United States	-5.00	single family	3520.33
-AAAAAAAABFNHBAAA	Ms.	Janet	York	972	2nd Third	Road	Suite 120	Crossroads	Jackson County	GA	30534	United States	-5.00	apartment	5047.25
-AAAAAAAABGDGBAAA	Sir	Brian	Adams	915	Jackson 	RD	Suite O	Concord	Columbia County	GA	34107	United States	-5.00	apartment	2912.27
-AAAAAAAABGLCBAAA	Dr.	Joseph	Torres	103	Highland 7th	Court	Suite I	Wilson	Jenkins County	GA	36971	United States	-5.00	single family	1842.89
-AAAAAAAABHOFAAAA	Ms.	Anthony		518	Meadow Smith	Ct.	Suite C	Riverdale	Bleckley County	GA	39391	United States	-5.00	single family	1878.44
-AAAAAAAABIMMAAAA	Dr.	Shanna	Mcrae	764	Walnut 	Street	Suite B	Brownsville	Lumpkin County	GA	39310	United States	-5.00	condo	7237.05
-AAAAAAAABINIAAAA	Dr.	Jose	Reynolds	571	Main 	Ave	Suite B	Mount Zion	Troup County	GA	38054	United States	-5.00	apartment	2463.65
-AAAAAAAABJMEAAAA	Miss	Deborah	Sheehan	450	Willow 	Cir.	Suite G	Marion	Franklin County	GA	30399	United States	-5.00	condo	6623.88
-AAAAAAAABKAIAAAA	Miss	Ruth	Rodriguez	706	Williams 	Pkwy	Suite Y	Antioch	Lanier County	GA	38605	United States	-5.00	single family	3025.05
-AAAAAAAABMBLAAAA	Ms.	Ava	Jackson	601	Fourth Washington	Way	Suite 440	Glendale	Cherokee County	GA	33951	United States	-5.00	apartment	1637.46
-AAAAAAAABMBLAAAA	Ms.	Ava	Jackson	601	Fourth Washington	Way	Suite 440	Glendale	Cherokee County	GA	33951	United States	-5.00	apartment	2373.14
-AAAAAAAABMFDAAAA	Mrs.	Megan	Webster	124	11th 	Pkwy	Suite K	Shady Grove	Miller County	GA	32812	United States	-5.00	single family	3059.27
-AAAAAAAABNMGBAAA	Mrs.	Wanda	Shumate	422	Pine 3rd	Cir.	Suite 170	Crossroads	Berrien County	GA	30534	United States	-5.00	single family	1699.41
-AAAAAAAABNMIAAAA	Miss	Bobbi	Erickson	731	Jefferson 	Parkway	Suite H	Mountain View	Taylor County	GA	34466	United States	-5.00	apartment	2925.34
-AAAAAAAABOAPAAAA	Ms.	Karen	Burt	794	Sunset Sunset	Drive	Suite 470	Glendale	Calhoun County	GA	33951	United States	-5.00	condo	8807.07
-AAAAAAAABOCDBAAA	Ms.	Flora	Messer	608	10th 	Court	Suite A	Highland Park	Dooly County	GA	36534	United States	-5.00	single family	3255.56
-AAAAAAAABPIMAAAA	Dr.	Steve	Cano	711	Park 	Ln	Suite N	Smith	Gwinnett County	GA	37317	United States	-5.00	single family	2086.39
-AAAAAAAACABFAAAA	Sir	Steven	Lamb	726	Cherry Hill	ST	Suite E	Woodville	Worth County	GA	34289	United States	-5.00	apartment	2361.71
-AAAAAAAACBDDAAAA	Sir	Terry	Seiler	960	Eigth 	Way	Suite 240	Mountain View	Putnam County	GA	34466	United States	-5.00	apartment	3222.09
-AAAAAAAACCBOAAAA	Sir	Patrick	Miller	577	Church 	Ave	Suite 110	Bethel	White County	GA	35281	United States	-5.00	single family	2927.35
-AAAAAAAACDOPAAAA	Mrs.	Carolyn	Singer	399	Second 	Boulevard	Suite O	White Oak	Wayne County	GA	36668	United States	-5.00	condo	4011.31
-AAAAAAAACFADBAAA				502	Willow Park	Cir.	Suite E	Dewey	Colquitt County	GA	31160	United States	-5.00	apartment	3732.03
-AAAAAAAACIHABAAA	Ms.	Arlene	Baker	216	Maple Walnut	Ave	Suite 310	Greenfield	Glascock County	GA	35038	United States	-5.00	single family	2857.28
-AAAAAAAACJCHAAAA	Mr.	Wilbur	Mullins	119	Eigth 	Dr.	Suite W	Fairview	Wilkes County	GA	35709	United States	-5.00	single family	4861.83
-AAAAAAAACJJKAAAA	Mr.	Ramon	Zaragoza	934	Park 	Lane	Suite K	Lakewood	Muscogee County	GA	38877	United States	-5.00	condo	9022.65
-AAAAAAAACKHEAAAA	Mr.	Richard	Leblanc	18	Green View	Court	Suite J	Woodville	Butts County	GA	34289	United States	-5.00	single family	3787.49
-AAAAAAAACODJAAAA	Dr.	Neal	Nash	95		Street	Suite 110	Spring Hill	Murray County	GA	36787		-5.00		2144.31
-AAAAAAAACOFIBAAA	Mr.	Fred	Morales	687	5th Park	Cir.	Suite X	Fairview	Murray County	GA	35709	United States	-5.00	condo	1936.70
-AAAAAAAACOHIAAAA	Mr.	Roger	Grider	191	Williams Second	Avenue	Suite 420	Brownsville	Coweta County	GA	39310	United States	-5.00	single family	5782.43
-AAAAAAAACPBABAAA	Miss	Lucile	Anderson	149	View Williams	Ct.	Suite L	Mount Pleasant	Washington County	GA	31933	United States	-5.00	single family	2600.59
-AAAAAAAADANFBAAA	Mrs.	Ann	Nadeau	247	Maple 	Avenue	Suite 260	Hamilton	Elbert County	GA	32808	United States	-5.00	single family	4103.32
-AAAAAAAADBAHAAAA	Dr.	Lucille	Hill	668	West Laurel	Pkwy	Suite M	Mount Olive	Quitman County	GA	38059	United States	-5.00	single family	2033.22
-AAAAAAAADBEIBAAA	Miss	Erica	Hill	396	Maple Johnson	Avenue	Suite R	Crossroads	Hall County	GA	30534	United States	-5.00	condo	4500.01
-AAAAAAAADBEOAAAA	Miss	Loretta	Smith	149	Maple 	ST	Suite 350	Fairview	Cherokee County	GA	35709	United States	-5.00	apartment	3810.28
-AAAAAAAADBFHBAAA	Mr.	Charles	Robinson	731	Ridge 	Lane	Suite 160	New Hope	Bartow County	GA	39431	United States	-5.00	apartment	4042.46
-AAAAAAAADCAEAAAA	Dr.	Joanna	Walker	665	15th Maple	Avenue	Suite Y	Camden	McDuffie County	GA	37119	United States	-5.00	single family	4067.57
-AAAAAAAADCLBAAAA	Mrs.	Evelyn	Hammett	302	1st Adams	Cir.	Suite 370	Five Points	Pulaski County	GA	36098	United States	-5.00	single family	2187.12
-AAAAAAAADDENAAAA	Sir	Alejandro	Doyle	916	Cherry Elm	ST	Suite 110	Providence	Clay County	GA	36614	United States	-5.00	single family	3357.92
-AAAAAAAADEGFAAAA	Sir	Jesse	Johnson	725	Laurel First	Parkway	Suite O	Pleasant Valley	Candler County	GA	32477	United States	-5.00	condo	4969.77
-AAAAAAAADGCCAAAA	Miss	Loretta	Moss	274	3rd Walnut	Ave	Suite L	Arlington	Lee County	GA	36557	United States	-5.00	condo	1891.74
-AAAAAAAADHFLAAAA	Mr.	George	Schneider	579	Johnson Ash	Way	Suite 110	Concord	Seminole County	GA	34107	United States	-5.00	condo	4011.59
-AAAAAAAADHOIAAAA	Miss	Andrew	James	139	Smith Lincoln	Lane	Suite 360	Stringtown	Coweta County	GA	30162	United States	-5.00	condo	2834.91
-AAAAAAAADJABAAAA	Mrs.	Charity	Arroyo	158	Highland Elm	Ln	Suite K	Woodland	Pickens County	GA	34854	United States	-5.00	apartment	2443.75
-AAAAAAAADJJMAAAA	Dr.	Joseph	Burns	339	12th 	Blvd	Suite S	Hamilton	Banks County	GA	32808	United States	-5.00	condo	2670.84
-AAAAAAAADJODAAAA	Dr.	Larry	Phillips	612	Mill Church	Blvd	Suite 0	Sunnyside	Fannin County	GA	31952	United States	-5.00	single family	7260.82
-AAAAAAAADKKGAAAA	Sir	Robert	Patrick	638	Fourth 	Cir.	Suite 250	Lebanon	Clay County	GA	32898	United States	-5.00	condo	9049.72
-AAAAAAAADMDHAAAA	Mr.	Samuel	Wells	877	Highland East	Road	Suite I	Valley View	Bartow County	GA	35124	United States	-5.00	single family	4490.95
-AAAAAAAADNIBBAAA	Miss	Sharon	Prince	955	Walnut Ridge	Boulevard	Suite W	Cedar Grove	Troup County	GA	30411	United States	-5.00	condo	2158.11
-AAAAAAAADNOGBAAA	Dr.	David	Lofton	327	11th Central	Parkway	Suite D	White Oak	Glynn County	GA	36668	United States	-5.00	single family	1971.52
-AAAAAAAADOBCBAAA	Dr.	Benjamin	Pham	300	Willow Sycamore	Blvd	Suite 380	Liberty	Twiggs County	GA	33451	United States	-5.00	apartment	1787.84
-AAAAAAAADOFNAAAA	Mrs.	Sebrina	Jacobs	611	Center 	Avenue	Suite 210	Glenwood	Ware County	GA	33511	United States	-5.00	condo	5738.75
-AAAAAAAAEAFJAAAA	Mr.	Gregory	Quigley	932	Maple 	Avenue	Suite 300	Glendale	Butts County	GA	33951	United States	-5.00	single family	2621.58
-AAAAAAAAEAJGBAAA	Miss	Helen	Flora	38	Park 	Circle	Suite 360	Florence	Pike County	GA	33394	United States	-5.00	apartment	2804.13
-AAAAAAAAEBDFAAAA	Mr.	Ed	Chavis	276	Pine Hill	Boulevard	Suite 150	Shiloh	Lincoln County	GA	39275	United States	-5.00	single family	1800.04
-AAAAAAAAECIHAAAA	Sir	Gilberto	Mcdonald	615	10th 	Blvd	Suite 150	Oakdale	Glynn County	GA	39584	United States	-5.00	apartment	6023.68
-AAAAAAAAECOGBAAA	Dr.	David	Lamb	436	Second Elm	Way	Suite 30	Green Acres	Laurens County	GA	37683	United States	-5.00	single family	4778.71
-AAAAAAAAEDOAAAAA	Dr.		Finley	899	Willow Pine	ST	Suite 160	Clinton	Peach County	GA	38222	United States	-5.00	condo	18954.78
-AAAAAAAAEEFEBAAA	Mr.	Gordon	Lee	444	Park Jackson	Boulevard	Suite 150	Kingston	Mitchell County	GA	34975	United States	-5.00	single family	2499.41
-AAAAAAAAEFMHBAAA	Ms.	Anne	Busby	724	Second 	ST	Suite 20	Union Hill	Pulaski County	GA	37746	United States	-5.00	condo	2866.95
-AAAAAAAAEGOEAAAA	Sir	Patrick	Horton	172	Lincoln Lakeview	Blvd	Suite Q	Lakeside	Brooks County	GA	39532	United States	-5.00	single family	2155.38
-AAAAAAAAEGOJAAAA	Miss	Caroline	Miller	719	Smith 	RD	Suite M	Empire	Oglethorpe County	GA	34145	United States	-5.00	single family	7530.99
-AAAAAAAAEHCIAAAA	Ms.	Laura	Wright	816	Main 	Ln	Suite 300	Sunnyside	Emanuel County	GA	31952	United States	-5.00	apartment	2767.59
-AAAAAAAAEHPBAAAA	Dr.	Paula	Bearden	932	Williams Forest	Ln	Suite 10	Allentown	Long County	GA	31838	United States	-5.00	single family	12021.15
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-AAAAAAAAELJAAAAA	Miss	Gwendolyn	Johnson	482	Sunset Spring	Ave	Suite J	Mount Olive	Madison County	GA	38059	United States	-5.00	apartment	7387.08
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q82.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q82.out
deleted file mode 100644
index 126951c0c2..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q82.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q82 --
-AAAAAAAAECMCAAAA	Rather vast companies pose quiet, actual carers. Close times take only simple possibilities. Current events might say only on a foundation	67.28
-AAAAAAAALIHCAAAA	Things select increased views. Tools imagine for example; ever likely developments live so scottish benefits. Soft, short-term services should give indeed good illu	86.90
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q83.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q83.out
deleted file mode 100644
index f43d6dc8b1..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q83.out
+++ /dev/null
@@ -1,24 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q83 --
-AAAAAAAAANECAAAA	34	18.579234972677593	9	4.918032786885246	18	9.836065573770492	20.333333333
-AAAAAAAACAOBAAAA	27	11.688311688311687	38	16.450216450216452	12	5.194805194805195	25.666666667
-AAAAAAAACBNDAAAA	38	11.62079510703364	52	15.902140672782874	19	5.81039755351682	36.333333333
-AAAAAAAACCGAAAAA	30	15.151515151515152	18	9.09090909090909	18	9.09090909090909	22.000000000
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-AAAAAAAAEBLDAAAA	9	3.7037037037037033	34	13.991769547325102	38	15.637860082304526	27.000000000
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-AAAAAAAAFEBAAAAA	19	15.447154471544716	17	13.821138211382115	5	4.0650406504065035	13.666666667
-AAAAAAAAFODDAAAA	30	11.49425287356322	7	2.681992337164751	50	19.157088122605362	29.000000000
-AAAAAAAAGLMCAAAA	37	26.811594202898554	3	2.1739130434782608	6	4.3478260869565215	15.333333333
-AAAAAAAAHAGDAAAA	16	8.333333333333332	15	7.8125	33	17.1875	21.333333333
-AAAAAAAAHCDEAAAA	41	19.248826291079812	1	0.4694835680751174	29	13.615023474178404	23.666666667
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-AAAAAAAAMBGBAAAA	5	5.05050505050505	1	1.0101010101010102	27	27.272727272727277	11.000000000
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-AAAAAAAAODOAAAAA	5	4.385964912280701	3	2.631578947368421	30	26.31578947368421	12.666666667
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-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q84.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q84.out
deleted file mode 100644
index 9ab7e6eac9..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q84.out
+++ /dev/null
@@ -1,28 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q84 --
-AAAAAAAAAIPGAAAA	Carter, Rodney
-AAAAAAAAAKMBBAAA	Mcarthur, Emma
-AAAAAAAACBNHBAAA	Wells, Ron
-AAAAAAAADBMEAAAA	Vera, Tina
-AAAAAAAADBMEAAAA	Vera, Tina
-AAAAAAAADHKGBAAA	Scott, Pamela
-AAAAAAAAEIIBBAAA	Atkins, Susan
-AAAAAAAAFKAHAAAA	Batiste, Ernest
-AAAAAAAAGHMAAAAA	Mitchell, Gregory
-AAAAAAAAIAODBAAA	Murray, Karen
-AAAAAAAAIEOKAAAA	Solomon, Clyde
-AAAAAAAAIIBOAAAA	Owens, David
-AAAAAAAAIPDCAAAA	Wallace, Eric
-AAAAAAAAIPIMAAAA	Hayward, Benjamin
-AAAAAAAAJCIKAAAA	Ramos, Donald
-AAAAAAAAKFJEAAAA	Roberts, Yvonne
-AAAAAAAAKPGBBAAA	Moore, 
-AAAAAAAALCLABAAA	Whitaker, Lettie
-AAAAAAAAMGMEAAAA	Sharp, Michael
-AAAAAAAAMIGBBAAA	Montgomery, Jesenia
-AAAAAAAAMPDKAAAA	Lopez, Isabel
-AAAAAAAANEOMAAAA	Powell, Linda
-AAAAAAAANKPCAAAA	Shaffer, Sergio
-AAAAAAAANOCKAAAA	Vargas, James
-AAAAAAAAOGJEBAAA	Owens, Denice
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q85.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q85.out
deleted file mode 100644
index f3cc88d1a3..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q85.out
+++ /dev/null
@@ -1,9 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q85 --
-Gift exchange	76.0	464.3600	8.6200
-Not the product that	70.0	876.6700	46.6700
-Parts missing	7.0	129.4200	38.6500
-reason 23	47.0	734.6100	6.1700
-reason 25	5.0	48.9400	53.1450
-reason 28	8.0	306.2000	37.0600
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q86.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q86.out
deleted file mode 100644
index d6eabbaecb..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q86.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q86 --
-325552630.64	\N	\N	2	1
-33602545.41	Shoes	\N	1	1
-33399717.80	Music	\N	1	2
-33061835.62	Women	\N	1	3
-32942681.04	Books	\N	1	4
-32233369.67	Men	\N	1	5
-32135907.22	Electronics	\N	1	6
-32027085.12	Jewelry	\N	1	7
-31908139.65	Sports	\N	1	8
-31877378.15	Children	\N	1	9
-31428816.29	Home	\N	1	10
-935154.67	\N	\N	1	11
-476839.60	\N		0	1
-88724.30	\N	womens	0	2
-43184.49	\N	glassware	0	3
-40345.26	\N	flatware	0	4
-36841.11	\N	baseball	0	5
-34642.53	\N	swimwear	0	6
-33866.09	\N	scanners	0	7
-32159.86	\N	archery	0	8
-30361.13	\N	outdoor	0	9
-29969.36	\N	dresses	0	10
-25780.80	\N	pants	0	11
-25714.74	\N	sports-apparel	0	12
-21122.88	\N	tennis	0	13
-15602.52	\N	semi-precious	0	14
-2981755.34	Books	history	0	1
-2533681.90	Books	romance	0	2
-2513406.90	Books	computers	0	3
-2359621.74	Books	fiction	0	4
-2220829.36	Books	home repair	0	5
-2132619.93	Books	reference	0	6
-2023862.05	Books	travel	0	7
-1938302.12	Books	parenting	0	8
-1916049.65	Books	science	0	9
-1904474.64	Books	business	0	10
-1903280.30	Books	sports	0	11
-1819360.79	Books	self-help	0	12
-1817324.19	Books	mystery	0	13
-1698653.10	Books	entertainments	0	14
-1641874.01	Books	cooking	0	15
-1453516.79	Books	arts	0	16
-84068.23	Books		0	17
-8603692.12	Children	infants	0	1
-7982811.62	Children	toddlers	0	2
-7716135.48	Children	school-uniforms	0	3
-7529560.01	Children	newborn	0	4
-45178.92	Children		0	5
-2625503.90	Electronics	dvd/vcr players	0	1
-2351244.66	Electronics	televisions	0	2
-2283231.32	Electronics	memory	0	3
-2262599.89	Electronics	stereo	0	4
-2257811.83	Electronics	karoke	0	5
-2235218.27	Electronics	monitors	0	6
-2228844.29	Electronics	scanners	0	7
-1948029.88	Electronics	wireless	0	8
-1894729.95	Electronics	disk drives	0	9
-1838653.07	Electronics	automotive	0	10
-1793728.96	Electronics	portable	0	11
-1768939.49	Electronics	cameras	0	12
-1733994.95	Electronics	musical	0	13
-1730490.24	Electronics	personal	0	14
-1670511.23	Electronics	camcorders	0	15
-1512375.29	Electronics	audio	0	16
-2408305.34	Home	paint	0	1
-2349779.93	Home	curtains/drapes	0	2
-2306676.63	Home	bedding	0	3
-2284168.74	Home	flatware	0	4
-2269734.86	Home	glassware	0	5
-2112112.73	Home	lighting	0	6
-2085612.39	Home	bathroom	0	7
-1924834.23	Home	mattresses	0	8
-1868688.89	Home	tables	0	9
-1820604.22	Home	furniture	0	10
-1816997.04	Home	decor	0	11
-1805905.27	Home	kids	0	12
-1788142.30	Home	blinds/shades	0	13
-1570699.11	Home	accent	0	14
-1503088.13	Home	rugs	0	15
-1457642.85	Home	wallpaper	0	16
-55823.63	Home		0	17
-2754963.88	Jewelry	jewelry boxes	0	1
-2346470.04	Jewelry	pendants	0	2
-2308524.13	Jewelry	rings	0	3
-2216602.19	Jewelry	custom	0	4
-2141484.71	Jewelry	gold	0	5
-2105589.88	Jewelry	estate	0	6
-2105536.74	Jewelry	womens watch	0	7
-2057556.93	Jewelry	mens watch	0	8
-1964085.08	Jewelry	costume	0	9
-1838748.38	Jewelry	birdal	0	10
-1820456.21	Jewelry	earings	0	11
-1811297.48	Jewelry	loose stones	0	12
-1738088.37	Jewelry	diamonds	0	13
-1636759.38	Jewelry	semi-precious	0	14
-1625306.26	Jewelry	bracelets	0	15
-1457032.40	Jewelry	consignment	0	16
-98583.06	Jewelry		0	17
-8968117.21	Men	shirts	0	1
-8079270.31	Men	sports-apparel	0	2
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q87.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q87.out
deleted file mode 100644
index 770ab60b39..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q87.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q87 --
-47298
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q88.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q88.out
deleted file mode 100644
index c30feb3c9e..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q88.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q88 --
-2334	4726	4564	7538	7115	3960	4129	4533
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q89.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q89.out
deleted file mode 100644
index fab8ef69dc..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q89.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q89 --
-Men	shirts	importoimporto #1	ese	Unknown	3	2070.65	5492.8175
-Men	shirts	importoimporto #1	ought	Unknown	6	2152.15	5045.7583
-Men	shirts	importoimporto #1	able	Unknown	2	2333.43	5194.8183
-Men	shirts	importoimporto #1	ese	Unknown	6	2691.33	5492.8175
-Men	shirts	importoimporto #1	ought	Unknown	2	2253.70	5045.7583
-Women	dresses	amalgamalg #1	able	Unknown	6	1761.81	4507.2400
-Men	shirts	importoimporto #1	ation	Unknown	3	2672.68	5410.9166
-Men	shirts	importoimporto #1	ation	Unknown	5	2677.81	5410.9166
-Men	shirts	importoimporto #1	eing	Unknown	5	2356.88	5074.0766
-Men	shirts	importoimporto #1	ese	Unknown	4	2784.11	5492.8175
-Women	dresses	amalgamalg #1	ought	Unknown	7	1926.67	4619.7075
-Women	dresses	amalgamalg #1	ought	Unknown	1	2065.94	4619.7075
-Men	shirts	importoimporto #1	ation	Unknown	6	2881.34	5410.9166
-Men	shirts	importoimporto #1	able	Unknown	3	2674.91	5194.8183
-Women	dresses	amalgamalg #1	ation	Unknown	2	2192.31	4690.8900
-Men	shirts	importoimporto #1	bar	Unknown	5	2475.90	4973.5091
-Women	dresses	amalgamalg #1	ese	Unknown	2	2146.52	4642.9908
-Men	shirts	importoimporto #1	eing	Unknown	2	2588.02	5074.0766
-Women	dresses	amalgamalg #1	bar	Unknown	7	2428.75	4914.1183
-Women	dresses	amalgamalg #1	bar	Unknown	3	2451.51	4914.1183
-Men	shirts	importoimporto #1	ation	Unknown	7	2951.67	5410.9166
-Men	shirts	importoimporto #1	able	Unknown	1	2765.75	5194.8183
-Women	dresses	amalgamalg #1	able	Unknown	2	2082.54	4507.2400
-Men	shirts	importoimporto #1	ation	Unknown	4	2988.08	5410.9166
-Men	shirts	importoimporto #1	ought	Unknown	7	2667.92	5045.7583
-Women	dresses	amalgamalg #1	bar	Unknown	4	2549.27	4914.1183
-Women	dresses	amalgamalg #1	ese	Unknown	7	2307.00	4642.9908
-Women	dresses	amalgamalg #1	eing	Unknown	4	2204.15	4528.8225
-Men	shirts	importoimporto #1	able	Unknown	7	2880.34	5194.8183
-Men	shirts	importoimporto #1	ese	Unknown	5	3210.74	5492.8175
-Women	dresses	amalgamalg #1	ation	Unknown	4	2418.39	4690.8900
-Men	shirts	importoimporto #1	eing	Unknown	4	2833.40	5074.0766
-Women	dresses	amalgamalg #1	bar	Unknown	2	2692.79	4914.1183
-Men	shirts	importoimporto #1	eing	Unknown	6	2854.62	5074.0766
-Women	dresses	amalgamalg #1	eing	Unknown	6	2314.71	4528.8225
-Men	shirts	importoimporto #1	ought	Unknown	5	2834.94	5045.7583
-Women	dresses	amalgamalg #1	ation	Unknown	5	2480.25	4690.8900
-Women	dresses	amalgamalg #1	able	Unknown	7	2302.21	4507.2400
-Women	dresses	amalgamalg #1	ation	Unknown	6	2501.15	4690.8900
-Men	shirts	importoimporto #1	ese	Unknown	2	3307.78	5492.8175
-Men	shirts	importoimporto #1	able	Unknown	5	3016.43	5194.8183
-Men	shirts	importoimporto #1	able	Unknown	4	3040.23	5194.8183
-Women	dresses	amalgamalg #1	eing	Unknown	5	2420.31	4528.8225
-Women	dresses	amalgamalg #1	ese	Unknown	5	2535.80	4642.9908
-Women	dresses	amalgamalg #1	ought	Unknown	2	2521.70	4619.7075
-Men	shirts	importoimporto #1	bar	Unknown	3	2877.96	4973.5091
-Women	dresses	amalgamalg #1	ese	Unknown	3	2577.15	4642.9908
-Women	dresses	amalgamalg #1	ation	Unknown	7	2637.27	4690.8900
-Men	shirts	importoimporto #1	ation	Unknown	1	3380.16	5410.9166
-Women	dresses	amalgamalg #1	eing	Unknown	7	2524.32	4528.8225
-Men	shirts	importoimporto #1	bar	Unknown	4	2986.70	4973.5091
-Women	dresses	amalgamalg #1	ought	Unknown	4	2648.80	4619.7075
-Men	shirts	importoimporto #1	bar	Unknown	7	3026.41	4973.5091
-Women	dresses	amalgamalg #1	ation	Unknown	3	2751.11	4690.8900
-Men	shirts	importoimporto #1	bar	Unknown	2	3073.45	4973.5091
-Men	shirts	importoimporto #1	eing	Unknown	3	3179.96	5074.0766
-Women	dresses	amalgamalg #1	ation	Unknown	1	2797.07	4690.8900
-Women	dresses	amalgamalg #1	able	Unknown	1	2621.05	4507.2400
-Women	dresses	amalgamalg #1	ese	Unknown	4	2808.36	4642.9908
-Women	dresses	amalgamalg #2	bar	Unknown	6	680.47	2506.9633
-Men	shirts	importoimporto #1	ation	Unknown	2	3591.65	5410.9166
-Women	dresses	amalgamalg #1	able	Unknown	3	2706.15	4507.2400
-Women	dresses	amalgamalg #2	eing	Unknown	2	773.08	2569.3466
-Men	shirts	importoimporto #1	bar	Unknown	6	3199.08	4973.5091
-Men	shirts	importoimporto #1	ese	Unknown	7	3754.33	5492.8175
-Women	dresses	amalgamalg #1	bar	Unknown	5	3190.77	4914.1183
-Women	dresses	amalgamalg #1	eing	Unknown	2	2841.88	4528.8225
-Men	shirts	importoimporto #1	able	Unknown	6	3538.25	5194.8183
-Women	dresses	amalgamalg #1	ese	Unknown	6	3006.94	4642.9908
-Women	dresses	amalgamalg #1	bar	Unknown	1	3284.93	4914.1183
-Women	dresses	amalgamalg #2	bar	Unknown	5	878.42	2506.9633
-Women	dresses	amalgamalg #1	able	Unknown	5	2891.95	4507.2400
-Men	shirts	importoimporto #1	eing	Unknown	7	3465.77	5074.0766
-Women	dresses	amalgamalg #2	eing	Unknown	3	964.29	2569.3466
-Women	dresses	amalgamalg #1	bar	Unknown	6	3324.49	4914.1183
-Men	shirts	importoimporto #1	ought	Unknown	3	3467.09	5045.7583
-Women	dresses	amalgamalg #1	ought	Unknown	5	3049.25	4619.7075
-Women	dresses	amalgamalg #1	eing	Unknown	3	2978.07	4528.8225
-Men	shirts	importoimporto #1	ought	Unknown	4	3544.97	5045.7583
-Men	shirts	importoimporto #1	bar	Unknown	1	3490.62	4973.5091
-Men	shirts	importoimporto #2	able	Unknown	2	628.63	2095.4708
-Men	shirts	importoimporto #1	eing	Unknown	1	3628.21	5074.0766
-Women	dresses	amalgamalg #1	able	Unknown	4	3082.17	4507.2400
-Men	shirts	importoimporto #2	eing	Unknown	5	765.86	2137.6566
-Women	dresses	amalgamalg #2	ation	Unknown	4	1064.70	2431.2266
-Women	dresses	amalgamalg #2	ought	Unknown	3	991.89	2355.4416
-Women	dresses	amalgamalg #2	eing	Unknown	5	1211.13	2569.3466
-Women	dresses	amalgamalg #2	ation	Unknown	7	1078.41	2431.2266
-Men	shirts	importoimporto #2	ation	Unknown	4	807.67	2141.0600
-Women	dresses	amalgamalg #2	ation	Unknown	2	1102.89	2431.2266
-Women	dresses	amalgamalg #2	eing	Unknown	6	1247.86	2569.3466
-Women	dresses	amalgamalg #2	able	Unknown	4	1020.39	2337.2783
-Men	shirts	importoimporto #2	able	Unknown	7	780.91	2095.4708
-Women	dresses	amalgamalg #2	ese	Unknown	2	904.34	2200.8208
-Women	dresses	amalgamalg #2	ought	Unknown	7	1061.87	2355.4416
-Women	dresses	amalgamalg #2	able	Unknown	3	1054.94	2337.2783
-Men	shirts	importoimporto #2	ought	Unknown	6	633.96	1908.0566
-Men	shirts	importoimporto #2	ese	Unknown	6	853.37	2113.5733
-Women	dresses	amalgamalg #2	able	Unknown	5	1084.94	2337.2783
-Women	dresses	amalgamalg #2	eing	Unknown	4	1317.08	2569.3466
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q90.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q90.out
deleted file mode 100644
index 51acdbf4db..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q90.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q90 --
-0.6124401913875598
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q91.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q91.out
deleted file mode 100644
index f58cdd8f71..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q91.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q91 --
-AAAAAAAACAAAAAAA	Mid Atlantic	Felipe Perkins	109.74
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q92.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q92.out
deleted file mode 100644
index a143c9502c..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q92.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q92 --
-39529.71
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q93.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q93.out
deleted file mode 100644
index 5af6e73963..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q93.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q93 --
-213	\N
-287	\N
-458	\N
-1756	\N
-1990	\N
-2181	\N
-2571	\N
-2660	\N
-3640	\N
-4093	\N
-4572	\N
-4694	\N
-4842	\N
-4932	\N
-5667	\N
-6154	\N
-6437	\N
-6811	\N
-6948	\N
-7077	\N
-7476	\N
-7857	\N
-8694	\N
-9050	\N
-9125	\N
-9379	\N
-10225	\N
-11285	\N
-11603	\N
-11907	\N
-12721	\N
-13182	\N
-13405	\N
-14302	\N
-15425	\N
-15690	\N
-15698	\N
-16080	\N
-16348	\N
-16563	\N
-16701	\N
-16917	\N
-17223	\N
-17229	\N
-17282	\N
-17682	\N
-17759	\N
-17897	\N
-17910	\N
-18453	\N
-18747	\N
-19219	\N
-19915	\N
-20161	\N
-20214	\N
-20528	\N
-21523	\N
-21734	\N
-21853	\N
-22206	\N
-23080	\N
-23469	\N
-23557	\N
-23748	\N
-24187	\N
-24652	\N
-25029	\N
-25169	\N
-25757	\N
-25813	\N
-26587	\N
-26842	\N
-26872	\N
-27004	\N
-27540	\N
-27910	\N
-27977	\N
-28290	\N
-28325	\N
-28676	\N
-30145	\N
-31163	\N
-32195	\N
-32306	\N
-32967	\N
-33062	\N
-34398	\N
-34857	\N
-35264	\N
-35733	\N
-35859	\N
-36260	\N
-36474	\N
-36488	\N
-37231	\N
-37519	\N
-37720	\N
-37770	\N
-37909	\N
-37936	\N
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q94.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q94.out
deleted file mode 100644
index c006248c10..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q94.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q94 --
-33	64554.35	-3979.35
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q95.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q95.out
deleted file mode 100644
index fd518a0028..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q95.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q95 --
-73	120440.34	42133.12
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q96.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q96.out
deleted file mode 100644
index 81097f113a..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q96.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q96 --
-870
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q97.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q97.out
deleted file mode 100644
index f99bf216aa..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q97.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q97 --
-540401	286628	174
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q98.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q98.out
deleted file mode 100644
index b1942aa1aa..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q98.out
+++ /dev/null
@@ -1,2519 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q98 --
-AAAAAAAAOJGAAAAA		Books		\N	2102.35	17.17
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-AAAAAAAAACKBAAAA	Clinical, inc initiatives make specially according to a activities.	Books	arts	6.92	9562.33	3.07
-AAAAAAAAAIJCAAAA	Simply small grounds use exactly effects. Services could kill especially aware, large observers. Civil, relevant years ensure regulations; clear drawings realize actors. Products employ a	Books	arts	1.76	7565.38	2.42
-AAAAAAAAAJIAAAAA	Joint, superior police would use through an restrictions. Buyers ought to contract generally in a efforts. Days cut also sure, frequent s	Books	arts	0.43	1648.81	0.52
-AAAAAAAABFHDAAAA	Little days answer in a emotions; players touch.	Books	arts	2.58	18486.63	5.93
-AAAAAAAABHDCAAAA	Minor heads close common children; recently strong firms provide. Useful, young men ought to create changes. Popular, common regulations might decide. Points fit. Obvious, glad officials 	Books	arts	3.88	5219.85	1.67
-AAAAAAAACBACAAAA	Remaining, main passengers go far sure men. 	Books	arts	4.78	1306.20	0.41
-AAAAAAAACCLCAAAA	Multiple, personal attitudes change so. Major, international companies can give scales. Strong women may take there expensive scores	Books	arts	45.80	3235.97	1.03
-AAAAAAAACKDBAAAA	Positions can win increasingly entire units. Unions used to exclude fairly afraid fans. National fields appear also ways. Great lips print new teachers. Constant, primary deaths expect a little 	Books	arts	3.82	5246.53	1.68
-AAAAAAAACKEAAAAA	Legs appear eventually soci	Books	arts	35.27	372.00	0.11
-AAAAAAAACMDCAAAA	Black, powerful others go now years. Diverse orders might not mean away medium minutes; tight authorities ought to put however for the things	Books	arts	2.75	7486.65	2.40
-AAAAAAAACNEDAAAA	Particularly labour stores get farmers. Hence true records see rel	Books	arts	6.89	6909.55	2.21
-AAAAAAAADCCDAAAA	Glad users understand very almost original jobs. Towns can understand. Supreme, following days work by a parents; german, crucial weapons work sure; fair pictur	Books	arts	7.18	3918.06	1.25
-AAAAAAAADJFCAAAA	Significant, preliminary boys can remain lightly more pale discussion	Books	arts	2.74	4388.55	1.40
-AAAAAAAADPCCAAAA	Especially true items might supply particularly. Black, automatic words might develop post-war problems. Fresh, visible workers could not appe	Books	arts	4.23	4697.04	1.50
-AAAAAAAAEDKDAAAA	Times live now to a sales. British years bring all financ	Books	arts	4.24	1275.30	0.40
-AAAAAAAAEGAEAAAA	Far injuries pay so various arms. Courses could go anywhere universal possibilities; talks stand since mean, colonial scho	Books	arts	9.57	15285.33	4.90
-AAAAAAAAEPDDAAAA	Services used to work most new provi	Books	arts	2.84	21563.43	6.92
-AAAAAAAAEPKAAAAA	Here political studies give once at the qu	Books	arts	1.78	1382.17	0.44
-AAAAAAAAFBMBAAAA	Years light glasses. Contemporary members might detect even drawings. Private instructions ought to expect well main streets. Children will say well; usually young members ought to ensure enough. 	Books	arts	4.78	17.00	0.00
-AAAAAAAAFCFBAAAA	Golden estates meet as yet hands. About solid proteins used to tell. Once causal boots imagine frequently new elections; flexible, other ways find re	Books	arts	9.76	5418.45	1.74
-AAAAAAAAFCKCAAAA	Brilliant, acceptable resources might not pick as. Positive, married parties support only strongly impossible needs. Photogra	Books	arts	2.44	1415.82	0.45
-AAAAAAAAGAKAAAAA	Especially early girls glance however specific, relevant steps. Financial worlds telephone most dark gains. Warm, outdoor devices defend besides. Unions must not say narrow powers; individual ti	Books	arts	8.96	6984.06	2.24
-AAAAAAAAGFHBAAAA	Contemporary occasions provide she	Books	arts	1.75	3241.40	1.04
-AAAAAAAAGHOBAAAA	Fully existing proceedings could not tak	Books	arts	8.66	4170.81	1.33
-AAAAAAAAGOKBAAAA	Othe	Books	arts	60.94	6652.80	2.13
-AAAAAAAAHPNCAAAA	Correct, certain humans cut	Books	arts	37.98	9798.84	3.14
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-AAAAAAAAKGBAAAAA	Light moments cannot date following sy	Books	arts	5.60	12613.35	4.05
-AAAAAAAAKICDAAAA	Wet, concerned representatives get up to a owners. Necessary, like	Books	arts	1.89	9408.31	3.02
-AAAAAAAAKKIAAAAA	Naked, popular schemes campaign then offices. Underlying shares may join	Books	arts	79.28	19283.43	6.19
-AAAAAAAAKNBCAAAA	Early, powerful towns add mainly english savings. Years assist then new, public colleagues. Things might encounter then right new features	Books	arts	6.89	726.18	0.23
-AAAAAAAAMFFAAAAA	Communities used to relocate clearly strange, new walls; european, rich championships make current depths. Sure studies may reflect only instinctively old forces. Foreign, diverse	Books	arts	8.22	4909.04	1.57
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-AAAAAAAAOEIDAAAA	Electoral occupations assemble exchanges; als	Books	arts	2.20	12221.89	3.92
-AAAAAAAAOJJCAAAA	Troops take only, right dogs. Briefly genuine eyes used to provide mutually coming, just parents. Too social services shall feel only rec	Books	arts	6.40	1381.38	0.44
-AAAAAAAAOKPBAAAA	Just good settings must not make; payments assure to a bishops. Principal, sorry amounts would safeguard very so other leaders; tory, substantial stairs m	Books	arts	2.60	11430.27	3.67
-AAAAAAAAOPKCAAAA	Less imp	Books	arts	9.12	21212.29	6.81
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-AAAAAAAABIPBAAAA	Ultimate, other objects might not install good 	Books	business	2.57	4776.44	1.96
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-AAAAAAAACDBCAAAA	Tiny years could run too above tough volumes. New germans must not leave as possible sales; inj	Books	business	1.22	52.80	0.02
-AAAAAAAACDIBAAAA	Small results would go colours; sexual agencies ought to assure moreover unique premises; then complex provisions use often normal windows. Better educational girls should not believe however struct	Books	business	9.78	8105.34	3.33
-AAAAAAAACEACAAAA	Other, direct letters ought to make from a ways. British, large men could not work a	Books	business	0.48	14335.55	5.90
-AAAAAAAACEPBAAAA	Long, married artists would see negative feelings. Emot	Books	business	1.73	7909.27	3.25
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-AAAAAAAAFLMDAAAA	Significantly relevant colleges extract knowingly broad investors. Entire members stay. Mediterranean legs would cut on the knees. Forthcoming, particular students u	Books	business	4.81	6614.94	2.72
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-AAAAAAAAGFDCAAAA	Particularly medieval blocks would not find slightly with a carers. Years respond about at a sec	Books	business	6.00	5441.25	2.24
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-AAAAAAAAGONBAAAA	Ever top offers might struggle far, automatic men. Long-term, long goods dare however; new, other gr	Books	business	2.30	4793.37	1.97
-AAAAAAAAIBKDAAAA	Hundreds drop nearly unacceptable accidents. Then strong methods tell large unions. Short companies should help so. Moves shall not set later chief problems. R	Books	business	0.78	12116.59	4.99
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-AAAAAAAAIKEAAAAA	All 	Books	business	9.44	2769.66	1.14
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-AAAAAAAAJMEDAAAA	Personal, significant activities agree only by a couples. Elaborate aut	Books	business	3.06	3702.60	1.52
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-AAAAAAAAKLHBAAAA	Types support already forms. So appropriate substances must not control perhaps nervous young years. Communist services must go decisive, conside	Books	business	5.43	7299.56	3.00
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-AAAAAAAALDFAAAAA	Hands may not allow only in a lands; linear, other pubs say; social, precise women identify for a patients. Preferences develop alone now rich motives. Ever good tas	Books	business	3.68	911.15	0.37
-AAAAAAAALGBBAAAA	Modern records retain about there civil plans. Social bodies survive. Great, living losses bother late, coherent others. About british sports ought to use cautiously from 	Books	business	1.94	1039.45	0.42
-AAAAAAAALPDCAAAA	So small edges will understand currently in a things. New trains point usually systems. Years look growing questions. Different cases could sell just alive, late rules; big, large results will make 	Books	business	4.12	109.02	0.04
-AAAAAAAAMALDAAAA	Here final difficulties would not comply just legal good motives. Enough sensitive things could not spend obviously with a systems. In pu	Books	business	91.76	7163.72	2.95
-AAAAAAAAMIGCAAAA	Carefully physical hotels must put together; similar details cannot appreciate by a standards. Rates can break m	Books	business	6.63	7276.79	2.99
-AAAAAAAAMIMCAAAA	About likely houses like international members. Final, relevant birds answer after the paintings. Hungry, personal days borrow tiny, primary resources. As social relations could choose quite also 	Books	business	0.77	3400.78	1.40
-AAAAAAAAMKHAAAAA	Unions shall see enough over true attitudes; of course full variable	Books	business	8.90	3586.20	1.47
-AAAAAAAAMKNDAAAA	Special, clear elements would buy at a games. Things should spot today strange, only devices. Armies should like at a patients. Hands could perform simply narrow values. N	Books	business	1.28	7240.08	2.98
-AAAAAAAANACBAAAA	New teachers might demand never assets. Deeply bright ministers make generally never prime imports. Odd writings step common readers; talks take young, r	Books	business	2.95	4731.57	1.94
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-AAAAAAAAPGDBAAAA	Certainly remaining flowers can wonder then just significant papers; places secure below as a bombs. Other, domestic members must allow very polite thi	Books	business	0.60	5434.01	2.23
-AAAAAAAAPHJAAAAA	Possibly great customs suit close looks. Capable, frequent processes shall pass possible dangers; hard, private words act measures. Mysterious, acceptable fac	Books	business	6.64	1871.38	0.77
-AAAAAAAAAALDAAAA	Forward liable funds may not end from time to time local, domestic chiefs. Major, well-known newspapers can regain together new, white conclusions. Very vital employees can draw	Books	computers	17.54	1323.92	0.40
-AAAAAAAAAHKDAAAA	Decisions play actually exclusive activities. Well assistant e	Books	computers	8.77	12999.66	3.97
-AAAAAAAAAOBCAAAA	Years should try in line with a conditions. Pp. spend well evenings. Other, afraid sides speculate at a years. Options ought to know leading, app	Books	computers	5.23	2591.64	0.79
-AAAAAAAABHEEAAAA	Subjects may remain officials. Forward, straight objects used to see wh	Books	computers	6.97	8533.58	2.60
-AAAAAAAABLMBAAAA	External improvements effect so tough words. Great roads cause quickly popular, black stories. Clearly white members might ask enough details. Min	Books	computers	31.74	2742.24	0.83
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-AAAAAAAACOHDAAAA	Left, important sports shall get on an specialists. Overall, e	Books	computers	3.56	3276.00	1.00
-AAAAAAAAEANCAAAA	Ye	Books	computers	9.75	6814.84	2.08
-AAAAAAAAEAPAAAAA	Just distinct children think individuals; popular arguments develop here cautious methods; appropriate children might beat. Proper, empirical hundreds fall oth	Books	computers	4.01	11065.91	3.38
-AAAAAAAAECFCAAAA	Prepared others convey elsewhere environmental, british tactics. Sorry adults hear. So working texts release wor	Books	computers	1.98	3527.15	1.07
-AAAAAAAAEMHAAAAA	Boots recommend usually just local centres; c	Books	computers	7.56	6635.76	2.02
-AAAAAAAAFEEAAAAA	Capital, united feelings paint only things. Greatly financial economies should not pay somewhere soviet necessary armies; educational concepts mus	Books	computers	3.83	1365.45	0.41
-AAAAAAAAFLFEAAAA	Social weeks may hope. However parental objects shall get just potential logical stations. Agreements attend on a arms; circa real reforms may interpret dogs. T	Books	computers	2.06	18115.81	5.53
-AAAAAAAAGCFEAAAA	Quickly bare factors wear early as a meetings. Physical conventions could not survive. However european bands get due, national paintings. Significant, net facilities initi	Books	computers	33.10	6825.15	2.08
-AAAAAAAAGDOCAAAA	Various changes must shorten together heavy lessons. Doors make later british initiatives. Recently senior courses regret months. Regular, senior children might encounter merely procedures. Then avail	Books	computers	65.54	4671.44	1.42
-AAAAAAAAGENAAAAA	Genera	Books	computers	2.84	60.00	0.01
-AAAAAAAAGHCBAAAA	Hundreds would meet regardless german, foreign scien	Books	computers	9.77	894.48	0.27
-AAAAAAAAGMCAAAAA	More important names induce; now similar standards will train correctly times. Ex	Books	computers	9.23	4356.46	1.33
-AAAAAAAAGNGBAAAA	Brilliant, massive prisons take still national others. Only northern guidelines go right by the lips. General, spiritual walls shall reach in a languages. British nations eat substantial polici	Books	computers	3.42	169.80	0.05
-AAAAAAAAHPADAAAA	Used, young sizes take requirements. Electoral, standard stones worry still private scenes. Major, still bedrooms say all once effective years. Long new moments will own after the	Books	computers	9.19	2663.93	0.81
-AAAAAAAAIAMAAAAA	Alone walls mus	Books	computers	2.00	8957.82	2.73
-AAAAAAAAIGCEAAAA	Concerned numbers can attempt now particular, white friends; un	Books	computers	3.38	8336.53	2.54
-AAAAAAAAIGJAAAAA	Probably terrible students may go. There whole issues get academic, soviet charts. 	Books	computers	4.11	5316.51	1.62
-AAAAAAAAIHEEAAAA	Personal, liable years shall not start dramatic, dema	Books	computers	4.92	45631.68	13.94
-AAAAAAAAIILCAAAA	At least low personnel might a	Books	computers	9.13	7777.26	2.37
-AAAAAAAAJBADAAAA	Mean, good relations wake however strictly white possibilities. About aw	Books	computers	6.42	7851.07	2.39
-AAAAAAAAJJGBAAAA	Strangers gain officially enough labour problems. Overall systems may not help below lives. Heroes find just apparently generous couple	Books	computers	7.15	5084.71	1.55
-AAAAAAAAJMCCAAAA	Interesting programmes used to appear even. Symbolic prices go beautifu	Books	computers	97.63	10140.48	3.09
-AAAAAAAAJMGBAAAA	Complete, head ways entail additional books; social letters drive perfect ends. Supporters should undermine therefore relat	Books	computers	4.15	97.46	0.02
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-AAAAAAAALNHDAAAA	Friendly judges act between a parties. Asian, bloody hotels isolat	Books	computers	0.39	1776.00	0.54
-AAAAAAAALPPCAAAA	Political ingredients exercise once in order less	Books	computers	4.95	6424.14	1.96
-AAAAAAAAMGEEAAAA	Reservations would meet longer easy, daily lights. Exactly critical ref	Books	computers	9.27	8076.59	2.46
-AAAAAAAAMJEAAAAA	Local pro	Books	computers	1.04	3400.92	1.03
-AAAAAAAAMMDEAAAA	Women support almost	Books	computers	4.68	8124.94	2.48
-AAAAAAAAMNOBAAAA	Scientific, young creditors might see for the alternativ	Books	computers	6.98	12883.72	3.93
-AAAAAAAAMOHBAAAA	Fortunately past rules mind respectively appropriate losses. Men must develop above the sources. Mere values lis	Books	computers	2.02	3518.02	1.07
-AAAAAAAANCFCAAAA	Scientific courses set different questions. Various, likely surfaces prevent also vague days. Critical, grand clothes save from a duties; powerful	Books	computers	1.45	6240.57	1.90
-AAAAAAAANFJBAAAA	Only old doors shall wear again. Earlier high minerals might not tell better persona	Books	computers	16.62	3360.39	1.02
-AAAAAAAANNIAAAAA	Dear patients give again able directors. Modest terms think. For example assistant	Books	computers	1.89	3096.66	0.94
-AAAAAAAANOJBAAAA	Growing, small aims might begin 	Books	computers	2.75	647.50	0.19
-AAAAAAAAOBIDAAAA	Great, mixed bits utilise however quickly comprehensive sales. Near ne	Books	computers	1.23	11402.48	3.48
-AAAAAAAAOBNDAAAA	Levels undermine unfortunately efficient weeks	Books	computers	2.19	5478.32	1.67
-AAAAAAAAOGFAAAAA	Real kids give rather lips. Pure, hungry sides might not resolve both impressive attacks; over large friends refuse. Guilty, sp	Books	computers	99.41	6486.48	1.98
-AAAAAAAAOKBBAAAA	Votes can relieve then key sales; social, new proc	Books	computers	8.03	1360.10	0.41
-AAAAAAAAOMDAAAAA	Together hot rights 	Books	computers	4.99	1742.88	0.53
-AAAAAAAAOMPCAAAA	Now complex carers must use here therefore personal arms. Ideas could gather weapons. Dif	Books	computers	3.56	7129.63	2.17
-AAAAAAAAPADEAAAA	Goals should not make in	Books	computers	4.09	3597.48	1.09
-AAAAAAAAPDLCAAAA	Inc considerations should dare sales. Little, long chapters check better exciting employers. Still english unions could pull wrong shoes. Factors would kee	Books	computers	70.39	7342.58	2.24
-AAAAAAAAPENCAAAA	Authorities retain with a authorities. Warm, commercial things can bring. Eyes buy also for the minds. P	Books	computers	9.54	4801.27	1.46
-AAAAAAAAPHADAAAA	Desirable, important methods make thus observations. Most different tasks may live always traditional, concerned beings. Bad sales would lose. Long, linguistic pairs could not make. Chem	Books	computers	8.20	2715.24	0.82
-AAAAAAAAPJCCAAAA	Strong, british horses may not choose less. Results will not carry harsh workers. False claims will want over labour increases. Co	Books	computers	1.05	3040.40	0.92
-AAAAAAAAPKOBAAAA	Yet whole dealers p	Books	computers	3.63	2790.97	0.85
-AAAAAAAAPLIDAAAA	Items look somewhat new designs. Patients should solve about a officers. Minutes can act still companies. About dangerous records will not run towa	Books	computers	1.43	5985.52	1.82
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-AAAAAAAAADIDAAAA	Literary movies will include actually at a models. Else other areas would develop then on a consequences; responsibilities must exercise most average, fin	Books	cooking	3.29	2472.84	0.92
-AAAAAAAAAHKCAAAA	Somewhere hot arms touch however before a members. New developers ought to deal polish cells. Days achieve into an interests. Bodie	Books	cooking	5.86	6965.58	2.61
-AAAAAAAAAHPAAAAA	Surveys shall not ne	Books	cooking	4.61	8126.46	3.04
-AAAAAAAAAHPDAAAA	Efforts used to perpetuate about various researchers; political days must fight rather than the days. Standards used to rush towards a ends. Slow, short signals used to show seemingly. Figures wo	Books	cooking	91.23	3094.41	1.15
-AAAAAAAAAJNDAAAA	Physical, political decis	Books	cooking	6.76	1630.37	0.61
-AAAAAAAAAMACAAAA	Best national participants forget. Usually clear efforts can operate on	Books	cooking	2.20	10381.99	3.89
-AAAAAAAAAOLAAAAA	Near educational cases shall become big hotels. Periods should not	Books	cooking	5.92	1932.24	0.72
-AAAAAAAABINAAAAA	Below invisi	Books	cooking	9.59	6854.08	2.56
-AAAAAAAABONAAAAA	Gains cannot cross colourful, long individuals. Drily red difficulties may not say to a plans. Very different cases ta	Books	cooking	1.60	2682.59	1.00
-AAAAAAAACBDCAAAA	Well independent scores fight rare changes. Scottish rights would not give; implicit, modern services like yet. Conservative, effective yards should marry about a buildings. Valid, m	Books	cooking	0.50	8850.95	3.31
-AAAAAAAACDKBAAAA	Unique, commercial discussions mark then social, top states; organizations will not hit never still traditional programmes. Social, afraid papers ought to meet english egg	Books	cooking	2.98	3583.18	1.34
-AAAAAAAADEIBAAAA	Then attractive practices establish also at a issues; more independent records can inject even weak confidential bands. General parts will come culturally national standards.	Books	cooking	8.90	1781.95	0.66
-AAAAAAAAECPBAAAA	Alone, following police will not expect mentally clothes. Dramatic, american weeks will not leap so central images. Costs remedy below black, easy letters. Parties ought to come more for a 	Books	cooking	17.66	2891.75	1.08
-AAAAAAAAEHIDAAAA	Potential years would lay in order strong jobs. Times cannot allow specif	Books	cooking	3.65	6197.62	2.32
-AAAAAAAAEPJDAAAA	Over demanding subjects may not look of course after a pos	Books	cooking	6.49	15543.46	5.82
-AAAAAAAAGADEAAAA	Girls may use chri	Books	cooking	4.37	736.80	0.27
-AAAAAAAAGALAAAAA	Great, only pages might not contribute so; small components require on a films. Times find apparently. So traditional sources find conditions. Gro	Books	cooking	3.40	11257.89	4.21
-AAAAAAAAGBGBAAAA	Somehow revolutionary sh	Books	cooking	7.10	5940.50	2.22
-AAAAAAAAGEDDAAAA	Available workshops might direct directly. Conditions must satisfy also upper reactions. Sufficient words must see young considerations. Terrible, only expres	Books	cooking	8.24	3600.68	1.34
-AAAAAAAAGMMCAAAA	Chief countries leave actually rural, other fathers. Women discover very otherwise large ministers. Slow, envi	Books	cooking	7.35	2158.00	0.80
-AAAAAAAAGOCAAAAA	Historical, economic lights shall stand much big, odd proposals. Rather grateful branches ought to take. Northern, high miles must ask increasingly. Once chronic	Books	cooking	4.37	5136.88	1.92
-AAAAAAAAGPPBAAAA	Able, widespread elections could not apply to the powers. Minimal, pleasant fruits used to feed still flexible, new institutions; relationships	Books	cooking	6.47	8428.60	3.15
-AAAAAAAAHDIBAAAA	Books give simply again technical terms. Fun deaths must not take below carefully true sons. Expensive arts could receive just about leaves. Central, payable reform	Books	cooking	0.86	1271.14	0.47
-AAAAAAAAHFDEAAAA	Substantial, afraid effects must close. Areas could make only	Books	cooking	6.37	21494.23	8.05
-AAAAAAAAHKLAAAAA	Purel	Books	cooking	4.62	4512.72	1.69
-AAAAAAAAIHGCAAAA	About competitive members could not screen; however free performances could not give here in the studies; soft laws deal plans. Bodies complete all right fem	Books	cooking	1.18	9980.61	3.74
-AAAAAAAAIOCCAAAA	Technological characters want a	Books	cooking	4.64	4752.36	1.78
-AAAAAAAAIOICAAAA	Contributions move obviously now recent losses. Develo	Books	cooking	3.67	6311.34	2.36
-AAAAAAAAJBFBAAAA	Too productive points would leave material ministers. Public, objective elections loosen no longer children; political, central movements speak 	Books	cooking	9.42	1847.54	0.69
-AAAAAAAAJFKBAAAA	Meanwhile wet products ascerta	Books	cooking	5.40	5658.87	2.12
-AAAAAAAAJHGAAAAA	Recent tools should spee	Books	cooking	20.16	6532.08	2.44
-AAAAAAAAKCCAAAAA	Possible schools carry primarily dual rises; important meetings could continue other passengers. More scottish things might not fall orders. Right, unable expectati	Books	cooking	4.44	2945.69	1.10
-AAAAAAAAKEJAAAAA	Other, atlantic regions know fast. Li	Books	cooking	68.84	11613.62	4.35
-AAAAAAAAKFMCAAAA	Endless, vocational contracts would not stabilise churches. French, good cities light somehow on a offices. Now serious things raise for a walls; certain, c	Books	cooking	0.23	3226.22	1.20
-AAAAAAAAKJGDAAAA	International eyes might see sales. Joint universities must not hold somewhat with a days. Perfect, profitable trials ought to seem; even pale quantities 	Books	cooking	0.94	1936.79	0.72
-AAAAAAAAKNIBAAAA	Subjects will read too. Reduced, identical patients like through a animals. At least unable c	Books	cooking	0.12	1530.24	0.57
-AAAAAAAALBKAAAAA	Conditions used to test so for a spirits; open, royal provisions might not look approximate	Books	cooking	36.97	4187.77	1.56
-AAAAAAAALIGAAAAA	There superb accidents may strike individual results. Quiet, only forests drop as little unlikely towns. Observations can discern with a points. Substantial banks dest	Books	cooking	0.88	8104.81	3.03
-AAAAAAAAMBCCAAAA	Schools ought to consider married sources. Then opening modules matter generally this apparent deals; times shall read units. Steps may stop. About modern others alter 	Books	cooking	8.40	11030.92	4.13
-AAAAAAAAMHIBAAAA	Labour, happy rates stop details. Purposes say small, dead times; tickets will act hopefully yesterday considerable products. Competitive others stay with an purposes. Always personal guns might ri	Books	cooking	2.78	12683.38	4.75
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-AAAAAAAAOBBBAAAA	Main meetings can burst certain, parliamentary heroes. Much happy journals learn	Books	cooking	2.61	1585.09	0.59
-AAAAAAAAOCFBAAAA	Amounts feel as parents. Loud old assumptions can end no longer friendly p	Books	cooking	3.64	1417.21	0.53
-AAAAAAAAODNBAAAA	Regulations will tell eventually extra pounds	Books	cooking	0.62	2637.22	0.98
-AAAAAAAAOIOBAAAA	There pale members try a little cheap feet. Golden, o	Books	cooking	65.21	5762.14	2.15
-AAAAAAAAONGCAAAA	Outcomes will become high wide, substantial clients. Sufficient, new resources weaken only over the moments. Of cour	Books	cooking	1.32	1121.34	0.42
-AAAAAAAAPDGEAAAA	African lives must n	Books	cooking	0.88	13101.34	4.91
-AAAAAAAAPNFEAAAA	Wooden, civil fingers keep great, possible scales. Police begin ago in common responsible times. Further open fathers can believe aga	Books	cooking	0.33	282.92	0.10
-AAAAAAAAADBDAAAA	Upper men used to give still different girls. Proposals subsidise famous nerves. C	Books	entertainments	2.21	3266.76	1.63
-AAAAAAAAAIKCAAAA	Troubles must know wise indicators. Kinds enter technical, new doubts. Likely, annual eyes see equivalent payments. Both inadequate feelings decide ever initial 	Books	entertainments	5.04	2592.74	1.29
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-AAAAAAAACGMDAAAA	Aware sentences used to find very by the months; difficulties bring finally. Years turn maybe shots. Apparent, bad lives try more. Physical, voluntary activ	Books	entertainments	6.55	1235.50	0.61
-AAAAAAAACIDAAAAA	Millions might answer. Attractive rules might beat coloured volunteers. Scottis	Books	entertainments	3.51	11940.70	5.97
-AAAAAAAACLAEAAAA	As direct shoes cannot guarantee there regular given specialists. Teachers say even eyes. True re	Books	entertainments	1.33	8646.39	4.32
-AAAAAAAACNOAAAAA	Terms will happen today after a arguments. Most physical flowers doubt just. Other authorities would like still	Books	entertainments	4.15	2195.94	1.09
-AAAAAAAACOFBAAAA	British, corporate years used to land all poor sequences. Lights ought to get wide real, everyday performances. Ears know essentially. C	Books	entertainments	5.45	9164.29	4.58
-AAAAAAAADCOAAAAA	Silly acres shall belong alike following, similar pairs. Respectively lucky newspapers shall dare. Also labour requirements can leave; pounds used to stay even only solicitors. Silver systems may de	Books	entertainments	75.74	9674.08	4.84
-AAAAAAAADFBBAAAA	Social, popular leaves could not ca	Books	entertainments	2.61	8216.66	4.11
-AAAAAAAADGKAAAAA	However small values 	Books	entertainments	1.49	10944.45	5.48
-AAAAAAAADHJDAAAA	Public hands might not	Books	entertainments	2.74	7787.48	3.89
-AAAAAAAAEAPDAAAA	Implications imagine alive groups. Applications ought to meet steadily royal ideas. Able, efficient shoes shou	Books	entertainments	7.80	1342.26	0.67
-AAAAAAAAECMCAAAA	Rather vast companies pose quiet, actual carers. Close times take only simple possibilities. Current events might say only on a foundation	Books	entertainments	67.28	1401.63	0.70
-AAAAAAAAEHHBAAAA	Prepared, necessary others will let above for a stocks. Clearly new studies know. Final, social doubts worry certainly conclusions. Essential, severe attitudes respond sufficiently 	Books	entertainments	8.82	9367.84	4.69
-AAAAAAAAFOCBAAAA	However new	Books	entertainments	2.06	1060.15	0.53
-AAAAAAAAGABBAAAA	Lives may convey fair, popular industries; sure main records will take please with a restrictions. Illegally tough rights might not return never at the waters. Sensitive standards could take completel	Books	entertainments	2.68	2822.83	1.41
-AAAAAAAAGEECAAAA	Other, human years used to give simply. Words may carry for the pictures; general month	Books	entertainments	4.85	12733.45	6.37
-AAAAAAAAGHKDAAAA	Organisations shall guide tory organizations. Social, modest systems gro	Books	entertainments	7.74	434.88	0.21
-AAAAAAAAGNKAAAAA	Resources comply cheap, ready places. Different, other lights will pay well. Days assume more large courts. Recordings could not design also at the members. Yards can let still political others	Books	entertainments	73.05	3326.52	1.66
-AAAAAAAAGOLDAAAA	Generally ideal lips must reach beautiful, top patterns. Disabled methods find commercial things. Less happy co	Books	entertainments	6.19	6104.76	3.05
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-AAAAAAAAIFABAAAA	Men shall tolerate easily too keen children. Relevant, full-time leaves cannot say presumably from the gods. Large, careful subjects sit pro	Books	entertainments	7.63	7686.65	3.84
-AAAAAAAAJCGCAAAA	Annual, remote details would know only to a eyes. Laws construct teachers. Little armed prices used to charge economic, associated masters. Home available firms may tell however 	Books	entertainments	3.30	3145.04	1.57
-AAAAAAAAJFEBAAAA	Too necessary dreams should not co	Books	entertainments	3.75	4680.81	2.34
-AAAAAAAAJKGAAAAA	Lights allow. Things go white, available 	Books	entertainments	4.92	2308.80	1.15
-AAAAAAAAJNFEAAAA	Men lift fit letters. Recent shares can give main, new substances. Chains help at the rights. Straightforward things show just european, useful shelves. Healthy combinati	Books	entertainments	0.77	3988.56	1.99
-AAAAAAAAKDEAAAAA	Yet national bodies could answer on behalf of a hours. Features use later workers. Fortunes placa	Books	entertainments	6.46	4101.09	2.05
-AAAAAAAAKELBAAAA	However fair pressures realise twice walls. Days bring both. Dreadful syste	Books	entertainments	17.28	4678.96	2.34
-AAAAAAAAKJNAAAAA	Pp. should build white circumstances. Institutions cannot rest hardly. Minimum, personal goals will experi	Books	entertainments	2.86	1873.92	0.93
-AAAAAAAAKLEEAAAA	Guilty, mathematical contents used to join as. Ashamed, traditional months go as within a principles. Forward free cases could seek very colleagu	Books	entertainments	9.61	640.02	0.32
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-AAAAAAAALGMCAAAA	Flowers cultivate still so-called, available	Books	entertainments	3.84	511.75	0.25
-AAAAAAAAMAACAAAA	Specialists could not depend within the needs. Indian, specified mechanisms should perform together young towns. Seats understand always with a strings. New aspects secure. Report	Books	entertainments	6.36	3096.87	1.55
-AAAAAAAAMAHDAAAA	Jol	Books	entertainments	14.38	5937.80	2.97
-AAAAAAAAMFMAAAAA	Legal tasks could keep somewhat black experiences. Groups would expect characters. Also steep concerns might cost for a volunteers. W	Books	entertainments	2.70	54.16	0.02
-AAAAAAAAMMDBAAAA	Methods secure commentators. Once full-time co	Books	entertainments	5.73	2061.90	1.03
-AAAAAAAANJFEAAAA	Very, new trends should not des	Books	entertainments	3.14	4743.41	2.37
-AAAAAAAAOAJCAAAA	Heavy plans ought to sound too just young users; further traditional eyes welcome neither too el	Books	entertainments	3.45	1068.35	0.53
-AAAAAAAAOOEAAAAA	Companies reveal national reforms; kinds initiate in a languages. Positive miles ought to hesitate thick priorities. Large, cons	Books	entertainments	1.45	5085.84	2.54
-AAAAAAAAPNIBAAAA	Very good prisoners go against a rules. 	Books	entertainments	3.20	9776.11	4.89
-AAAAAAAAABNCAAAA	Services will let meetings. Following cuts used to belong actually thorough, comfortable products. Famous lights find since a lands.	Books	fiction	3.74	8142.46	2.25
-AAAAAAAAAHICAAAA	Particular, concerned odds should see conditions. Limited, existing	Books	fiction	7.71	5250.85	1.45
-AAAAAAAAAJFCAAAA	Real, brown girls used to go across a effects. Legal questions may assess able, false others. Policies put about; capable provisions get at a opportunities; prime, b	Books	fiction	7.98	3032.61	0.84
-AAAAAAAAAKEDAAAA	Original, large kinds suit	Books	fiction	9.86	192.06	0.05
-AAAAAAAAALOAAAAA	Teams would lead now through a eggs. Explanations think good, alone questions; liberal, religious plans alter then. True sports reduce eagerly racial, direct t	Books	fiction	2.73	8823.33	2.44
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-AAAAAAAAAPEBAAAA	Words think as the police. Only companies shall speak anyway sure, present pairs. Small days may not beat short-term things. Well constant	Books	fiction	3.13	7820.63	2.16
-AAAAAAAABCPBAAAA	Equal, human roads break hard topics. So political feet should fail away relative publications. Final, industrial areas may leave however by a police. Realistica	Books	fiction	30.09	2166.28	0.60
-AAAAAAAABDPAAAAA	Keen years fight much. Concerned, vital kings get downstairs new, worthy millions. Else full gam	Books	fiction	2.95	834.15	0.23
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-AAAAAAAADCIDAAAA	National women find major, able shows. Direct visitors must not want indian clothes. Years must run slowly in the costs. Months mak	Books	fiction	8.93	25454.69	7.05
-AAAAAAAADDDEAAAA	Male terms may provide laws; friends add truly rare points. Separate, whole hours may change over. Prime interests could not pretend indeed by a goods. Just past countries get how	Books	fiction	2.27	6298.10	1.74
-AAAAAAAADEAAAAAA	So fair schools must go problems. Children should not paint in a photographs. Great, late senten	Books	fiction	1.47	1344.56	0.37
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-AAAAAAAAECBDAAAA	Forces can testify happy, international levels. Performances pay right bands. Items could discourage even in a months; readers simplify ea	Books	fiction	0.09	4305.74	1.19
-AAAAAAAAEEFEAAAA	Sufficient, only samples indicate still. Streets take clouds. Services know probably royal times. Old, international seconds must not mean clearly now rich managers. Legs est	Books	fiction	6.90	6816.68	1.89
-AAAAAAAAEGGBAAAA	Enough average men keep conditions. Smooth magistrates kill only increasingly labour numbers. Numbers beat for a positions. Villages could make yet except for a thoughts. Little, cold prices think; d	Books	fiction	1.41	2850.60	0.79
-AAAAAAAAEJPDAAAA	Appropriate rates shall eliminate the	Books	fiction	2.51	2774.19	0.76
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-AAAAAAAAGEPDAAAA	Appointed, awful corners respond frequently. Northern friends may not call loudly vertical patients. Just	Books	fiction	82.50	2609.28	0.72
-AAAAAAAAGJFDAAAA	Aspects appoint eligible, black authorities. Levels may not act far old, immediate stations. Left, critical hea	Books	fiction	8.11	1085.85	0.30
-AAAAAAAAGNOBAAAA	Colleges cannot create quickly great relations; significant methods pour as educational, constant po	Books	fiction	5.95	2341.60	0.64
-AAAAAAAAHDDAAAAA	Remote, japanese things would not need at all	Books	fiction	45.99	3782.68	1.04
-AAAAAAAAHMADAAAA	Willingly left requests declare changes; old lists ought to apply again in a arms. Students eat german, individual ships. Weak goods 	Books	fiction	5.83	10040.62	2.78
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-AAAAAAAAJEBCAAAA	Fundamental arms could depend. Members shall see other project	Books	fiction	2.43	13675.74	3.79
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-AAAAAAAAKDOBAAAA	Just dead blocks cou	Books	fiction	1.67	1266.16	0.35
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-AAAAAAAAKGNDAAAA	There different aspects stay often middle, special police. Molecular, scientific efforts define long without the years. Appropriate companies abide doubtless 	Books	fiction	6.99	14589.55	4.04
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-AAAAAAAAKPNCAAAA	New, sure systems will not make respectiv	Books	fiction	0.84	4675.77	1.29
-AAAAAAAALIAAAAAA	Clothes can get also; home financial premises should not give proudly. Disabled, urgent tears would not run. Previous, electric schools shall qualify usefully real heads. Very, 	Books	fiction	2.99	1837.12	0.50
-AAAAAAAAMCHCAAAA	English germans anger systematically for the plans. Lights attract only leading sides. Points conceal. Widely other levels require political t	Books	fiction	4.86	1147.45	0.31
-AAAAAAAAMDGBAAAA	Accounts used to matter crucially. More than useful ha	Books	fiction	8.72	388.44	0.10
-AAAAAAAAMGBBAAAA	Inner, encouraging features should sue here to a terms. Patients will seem all slight members. Complex banks take apparently games. Able, irish patients used	Books	fiction	7.27	1376.10	0.38
-AAAAAAAAMLAAAAAA	Central, principal men a	Books	fiction	0.47	2017.32	0.55
-AAAAAAAANAMDAAAA	Average services could try unfortunately plants; extensive procedures must	Books	fiction	4.94	5734.05	1.58
-AAAAAAAANDDAAAAA	Plants should manage slowly on a managers. Trials could stop never also obvious awards; true, attractive controls determine psychiatric, bad relations. Keys follow. Positions coul	Books	fiction	2.73	4345.24	1.20
-AAAAAAAANEOAAAAA	Working dangers must follow british, wealthy governments. Possible magistrates ought to mean old, major facilities. Contents int	Books	fiction	3.42	12060.94	3.34
-AAAAAAAANJGDAAAA	Concerned, working children feel politically real texts. Scientists take probably better concerned forms; here negative things comply recently french reactions. Briti	Books	fiction	9.47	19440.81	5.39
-AAAAAAAANMFEAAAA	Low meals c	Books	fiction	6.53	3925.96	1.08
-AAAAAAAANNEEAAAA	Quite linguistic cells ask already permanent, valuable players. Colours place hastily happy, short bacteria; int	Books	fiction	1.59	7110.63	1.97
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-AAAAAAAAOCGAAAAA	Well different problems must not disrupt	Books	fiction	8.69	1985.29	0.55
-AAAAAAAAOFECAAAA	Later high interests 	Books	fiction	5.61	9818.74	2.72
-AAAAAAAAOGEEAAAA	Free processes can wake now still important institutions. Traditional, open plans serve better live years. Women should not pack by the experts. Competitors can miss hence op	Books	fiction	7.63	6537.27	1.81
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-AAAAAAAAOJCEAAAA	Approaches used to worsen forwards yellow, effective days. Personal, musical dreams appreciate in a claims; future, natural doors make thus. Empirical,	Books	fiction	3.81	4949.10	1.37
-AAAAAAAAPCEBAAAA	Th	Books	fiction	0.34	\N	\N
-AAAAAAAAPGDEAAAA	Appointed others must trace yesterday with the members. Disabled animals talk also isolated, entire soldiers. Signs join at all lega	Books	fiction	0.97	7324.52	2.03
-AAAAAAAAPMBAAAAA	Exactly financial games may find effective, delight	Books	fiction	8.79	8029.03	2.22
-AAAAAAAAPOACAAAA	Major deaths swing later books; particularly expected problems give. High, high tools must see big areas. Major, informal passengers devise; windows cannot think further nice doors. Small	Books	fiction	4.56	465.50	0.12
-AAAAAAAAAFIBAAAA	Different, fresh structures used to mean big schools; small, opposite findings drag 	Books	history	6.99	7291.12	1.92
-AAAAAAAAAJFAAAAA	Normal cases call into a rates. Easy royal police cannot assert long records. Young, scottish exceptions kill more ce	Books	history	2.50	2666.31	0.70
-AAAAAAAAAMEAAAAA	Very, true women eat. Left institutions may agree towards the kids; national, other terms open there then different prices; others settle however. Apparently normal 	Books	history	9.64	12533.18	3.31
-AAAAAAAAAMJBAAAA	Flowers will look respectable negotiations. Standards see and so on social men. Points could play in the steps	Books	history	8.23	3648.46	0.96
-AAAAAAAAAOFBAAAA	Also independent documents can answer approximately. Negotiations drop never. Similar, likely panels take parents. Ordinary, financial requirements could not match short, international p	Books	history	3.95	1478.52	0.39
-AAAAAAAABADDAAAA	Protective, different police wish. So free standards could develop as for a respondents. Surprising, famous goods cannot fire only othe	Books	history	1.74	935.90	0.24
-AAAAAAAABHCDAAAA	Also academic schemes might not think in a ingredients. Running, red papers come. Then prop	Books	history	9.69	3556.29	0.93
-AAAAAAAABHJCAAAA	More weak months believe today unnecessary sources. Years tread difficult emissions. Intermediate, personal farms could sail as without a causes. New offices illust	Books	history	1.75	7880.37	2.08
-AAAAAAAABMJDAAAA	Lines shall talk usually blue, vague cards. Popular years increa	Books	history	59.09	836.67	0.22
-AAAAAAAABODEAAAA	Cruel presents shall not stay brothers. Indian, minor wages carry always significantly sorry employees. Right new looks wil	Books	history	3.76	4975.56	1.31
-AAAAAAAABPFEAAAA	Serious, big changes might find populations; leaders make helplessly on a policies; great, likely departments try somehow changes; very right bags pretend new, central villages. No longer 	Books	history	2.64	42.27	0.01
-AAAAAAAACBLCAAAA	Right difficulties feed too directly medieval years. Vocational services see here; abroad sure relationships would sit against the principles; injuries would not assist bare, safe adve	Books	history	5.98	1059.57	0.27
-AAAAAAAACIBAAAAA	Surely specific clubs must remember necessary, big duties. There final words learn practically standard lands. Private, clear companies must see	Books	history	4.94	811.68	0.21
-AAAAAAAACJHBAAAA	Good children shall pass fairly free, current cards. German tactics know	Books	history	1.13	8970.57	2.37
-AAAAAAAACLNAAAAA	At all public areas object 	Books	history	75.67	152.32	0.04
-AAAAAAAADCDCAAAA	Recent, unable partners may continue good, blac	Books	history	0.69	1302.85	0.34
-AAAAAAAADDFCAAAA	Misleading, royal orders ought to attempt away single schools. Fat generations could not get h	Books	history	5.94	11450.72	3.02
-AAAAAAAADHIBAAAA	Eyes must not sound. Classes take. Best pleased methods provi	Books	history	0.17	697.92	0.18
-AAAAAAAADLPCAAAA	Patient trains will happen even good, central steps. New equations will include by a exercises. Key, psychological deaths apply mainly also foreign bodies. Assistant, inap	Books	history	9.95	12236.37	3.23
-AAAAAAAAECIDAAAA	Unemployed attacks may not take both later social circumstances. Wide, other owners must not explore teach	Books	history	3.98	3016.53	0.79
-AAAAAAAAEEMCAAAA	Extra, annual kinds produce other lights. Successful pp. should not tell home in a husbands. Centres ho	Books	history	87.93	4408.70	1.16
-AAAAAAAAEJNDAAAA	Also public times make flat, personal instances. Almost old remains used to reverse yesterday wryly lucky 	Books	history	1.94	7302.98	1.92
-AAAAAAAAEKFEAAAA	Afraid, grey officers mean costly institutions. Societi	Books	history	9.13	4121.85	1.08
-AAAAAAAAFBFCAAAA	Mechanisms make. Most small colleagues remember only. Previous, clear years measure at once. Words find already representatives. Lucky restaurants mark parts. Local, prime grants cannot find so	Books	history	3.98	7776.53	2.05
-AAAAAAAAFCCEAAAA	Whole companies teach more subsequent, similar priests. From time to time united tests should talk men. Fine standards come to	Books	history	7.77	3200.84	0.84
-AAAAAAAAFJKBAAAA	Roads clear. General exceptions give capable, free times; patients ought 	Books	history	4.41	4555.90	1.20
-AAAAAAAAGDNDAAAA	Shareholders should buy blue aspirations. Known, formal colleagues remain instead english minutes. Benefits operate always miles. Su	Books	history	3.87	1085.96	0.28
-AAAAAAAAGECBAAAA	However dead stars shall not think lately only ordinary dates. Day	Books	history	9.88	4869.71	1.28
-AAAAAAAAGHHDAAAA	Futures should enjoy able galleries. Late blue tickets pass longer urgently dead types. Shoulders will see rigidly institutions. Other con	Books	history	2.64	6413.60	1.69
-AAAAAAAAGICDAAAA	Great sounds might shake just extremely important men. Paintings 	Books	history	1.73	3273.90	0.86
-AAAAAAAAGIIDAAAA	Factors want. Events declare here excellent	Books	history	2.30	5544.72	1.46
-AAAAAAAAGLMAAAAA	Comprehensive kinds may c	Books	history	9.43	9512.55	2.51
-AAAAAAAAHBJCAAAA	Vast, lively periods will not treat new, average r	Books	history	6.01	2002.74	0.52
-AAAAAAAAHDDDAAAA	Very questions will not come changes. Famous things used to go very personal muscles. Marvellous methods shall ask so large, twin citizens; purposes kill so. Rough tears used to concentrate in 	Books	history	8.39	19376.75	5.11
-AAAAAAAAIEODAAAA	Likely findings can maintain suddenly into the aspects; ideas would n	Books	history	8.74	985.24	0.26
-AAAAAAAAIGPAAAAA	Happy procedures will make flat, single teachers. Coloured, economic concepts	Books	history	4.08	4623.37	1.22
-AAAAAAAAIIHAAAAA	Expensive services ensur	Books	history	2.88	3273.09	0.86
-AAAAAAAAIIJBAAAA	Already unexpected relations must investigate sooner new fair 	Books	history	26.55	767.89	0.20
-AAAAAAAAIIOBAAAA	Marvellous, high hands for	Books	history	6.07	6573.13	1.73
-AAAAAAAAIKIDAAAA	Handsome trees could not become over lucky, human circumstances. Possible causes shall not make by a proposals. Only effective owners can like at least rates; sure, able	Books	history	4.36	7791.99	2.05
-AAAAAAAAILPBAAAA	Incredible films may not restrain as. Central fields will not defer in	Books	history	6.15	1078.56	0.28
-AAAAAAAAIMNBAAAA	Black, necessary acts will claim over. Just painful lines prove national, detailed activiti	Books	history	4.78	552.00	0.14
-AAAAAAAAINPCAAAA	Significant, traditional soldiers sacrifice shortly. Hands could not get new details; uncomfortable police will block. Total, significant galleries assist 	Books	history	3.35	3386.59	0.89
-AAAAAAAAIONDAAAA	Central nights shall note acutely patients. National years take about an sets. Only critical cattle press very as a effects. Most occasional devices ought to work ab	Books	history	7.83	14300.44	3.77
-AAAAAAAAJGEAAAAA	Fully powerful qualities pinpoint thus movements. Domestic officers continue in a cases. Teachers shall introduce indeed other, good	Books	history	0.65	6334.78	1.67
-AAAAAAAAKFLAAAAA	Everyd	Books	history	1.79	7069.46	1.86
-AAAAAAAAKLLDAAAA	Partners could contact from a efforts. Mysterious, royal reports could suffer excellent, other divisions. Strong elements may enable for example small things. Judges used to make. Suffi	Books	history	58.19	2628.31	0.69
-AAAAAAAAKMKCAAAA	Sometimes physical theories allow ever differences. Crucial, common things can land often high, increased children. Apart european troops pay easily problems. More clear descriptions m	Books	history	4.09	6056.36	1.60
-AAAAAAAAKNBEAAAA	Tall animals swim extra commercial, special politicians; requirements punish; services relate always 	Books	history	45.77	6612.35	1.74
-AAAAAAAALAFAAAAA	New plants bring however on a years. Economic, british needs go of course. Children shall not benefit. Dangerous, whole patients ought to let. Camps shall not seek merely modest hearts. Hands like	Books	history	5.91	8789.94	2.32
-AAAAAAAALANBAAAA	Chief objects look teachers. Already empi	Books	history	1.13	26641.81	7.03
-AAAAAAAALJCDAAAA	Limited, just centres move carefully fundamental females. Flowers might use never. New, advisory rules 	Books	history	1.27	7584.28	2.00
-AAAAAAAAMBFCAAAA	Private, democratic hands could not compete now anxious levels; pure supporters would not question furt	Books	history	7.76	3705.35	0.97
-AAAAAAAAMBPDAAAA	Gothic pockets see cognitive, agricultural years. As important men account good, old hands. Pretty, old laws break quickly to a	Books	history	8.85	700.32	0.18
-AAAAAAAAMGICAAAA	Arms get at most more alone troops. Singl	Books	history	6.16	1834.70	0.48
-AAAAAAAAMHMBAAAA	Only supplies might remember again. Forces agree thus of course human areas. Budgets should pay similar, local procedures. Following, able things help elderly, american volu	Books	history	3.98	1461.84	0.38
-AAAAAAAAMKEDAAAA	States provide better values. Massive backs will play just underneath relevant procedures. Invariably labour legs insert sti	Books	history	1.75	436.80	0.11
-AAAAAAAAMPPCAAAA	Categories shall	Books	history	8.98	3439.98	0.90
-AAAAAAAANELDAAAA	Middle areas should respond appropriate, other plans. Stories escape somewha	Books	history	5.35	2308.02	0.60
-AAAAAAAANIBDAAAA	Other, convincing readers shall talk rapidly parents. De	Books	history	4.31	19220.00	5.07
-AAAAAAAANMCBAAAA	Policies compensate more long eyes. Terrible, single res	Books	history	6.60	9284.67	2.45
-AAAAAAAANNHBAAAA	Old, casual cards appear large, industrial areas. There chinese profits receive well safe words. Contemporary centuries consider particularly	Books	history	9.83	1717.86	0.45
-AAAAAAAAOCJBAAAA	Resources might benefit yesterday relations. Urban boats demonstrate main, following sales. Materials accept therefore thoughts. Short, particular paymen	Books	history	8.95	3852.80	1.01
-AAAAAAAAOEKAAAAA	Bad commentators should not happen; furious 	Books	history	0.55	3600.00	0.95
-AAAAAAAAOGGAAAAA	Temporary, beautiful negotiations carry holy, electric gentlemen. Else large fingers should sail museums. Orders take profoundly high, international arms; often able	Books	history	0.66	8298.62	2.19
-AAAAAAAAOLDBAAAA	Special chee	Books	history	49.12	29083.38	7.68
-AAAAAAAAPNLBAAAA	National members sue inner tasks. Other, dark windows sleep notably burning arrangements. Lightly industrial ships may recognise alone a	Books	history	0.13	5470.68	1.44
-AAAAAAAAADPBAAAA	Then specific supporters know years. Flowers start deliberately lucky dealers. Much english trades want. Errors vary from a years. Only absolute women might lower material centres. White, civil j	Books	home repair	6.98	47.79	0.01
-AAAAAAAAAMKBAAAA	Scottish, broken pupils must not wait high just terms. International, european miles might think; areas may get true feet. Certain authorities can eliminate	Books	home repair	3.89	13388.47	3.88
-AAAAAAAAANMDAAAA	Professional, great girls shall not understand then. Living, old eyes take genuinely schools. Further recent drivers recover properties; wrong, fresh policies swim. Pregnant, full appl	Books	home repair	43.55	8865.73	2.56
-AAAAAAAABFDEAAAA	Efficient, bad commitments ought to form grounds. Alone vast competitors might	Books	home repair	19.40	2154.45	0.62
-AAAAAAAABIKAAAAA	Rough conservatives function easily views; modern, corresponding texts improve wide, faint experiments. Duties cannot support similarly pages. Shows should discuss apart scenes. Ye	Books	home repair	34.30	11259.71	3.26
-AAAAAAAABJJAAAAA	Very european writers ought to swim so efficient, proud opponents. Quickly medical si	Books	home repair	3.61	459.93	0.13
-AAAAAAAABODBAAAA	Governments shall light just. Mediterranean, russian differences would adjust perhaps methods. Holes answer largely commercially optimistic fees. Available houses used to help later scotti	Books	home repair	1.89	4790.66	1.38
-AAAAAAAACDFDAAAA	Whole, thin items 	Books	home repair	1.75	18262.68	5.29
-AAAAAAAACLADAAAA	Full problems might not split political, serious legs. Also particular minutes transmit thus healthy minute	Books	home repair	6.75	10082.03	2.92
-AAAAAAAACOHAAAAA	Again parliamentary stocks may generate typically unnecessary external arrangements. Funds fight again sole, rural contributions. Public fires	Books	home repair	6.21	8374.65	2.42
-AAAAAAAADAKAAAAA	Following, other respects must not come new,	Books	home repair	6.10	11471.54	3.32
-AAAAAAAADECEAAAA	Open, other words include a little sharply anxious soldiers. Conditions mean now rules. Patients shall vary around a problems. Difficult edges take stil	Books	home repair	7.66	12933.23	3.74
-AAAAAAAADLEEAAAA	Professional, delicate settings must raise partially generally common heads. Either	Books	home repair	1.78	289.30	0.08
-AAAAAAAAEADEAAAA	Ships should help private, possible societies. C	Books	home repair	8.10	11201.35	3.24
-AAAAAAAAEIBAAAAA	Then human details	Books	home repair	0.82	2109.69	0.61
-AAAAAAAAEJCBAAAA	Young, whi	Books	home repair	5.38	1079.51	0.31
-AAAAAAAAEJDDAAAA	Unknown minutes must not override especially significant flowers. Northern problems mean on the objections. Words mean later econo	Books	home repair	2.50	1600.14	0.46
-AAAAAAAAFAFDAAAA	As available citizens shall know. Unlikely, social men require. Leaves would make now on a years. Yet industrial interest	Books	home repair	9.91	16111.32	4.66
-AAAAAAAAFDFAAAAA	All right used men must demand. Visual companies take entirely inhabitants; forward common hands hear here local customers. So traditional questions shal	Books	home repair	7.18	603.13	0.17
-AAAAAAAAFIHCAAAA	Hard specialists could deal now royal beds. Now high vehicles boycott fingers. National, british students operate pop	Books	home repair	2.46	4067.36	1.17
-AAAAAAAAFKDEAAAA	Western, great eyes return unknown tensions. European years might not signal asleep, reduced countries. S	Books	home repair	7.29	573.54	0.16
-AAAAAAAAGBEAAAAA	Later wonderful authorities must get famous terms. Articles shall vary to a shoulders. Exhibitions replace far good councillors. Feet can increase rarely later high sales. Open c	Books	home repair	2.10	5190.70	1.50
-AAAAAAAAGCOBAAAA	Vital colleagues allow very letters; recent, dramatic resources tell very thousands. Royal, sexual aspirations will earn almost on a legs. We	Books	home repair	4.05	3114.46	0.90
-AAAAAAAAGDEBAAAA	Probably british interests could not arrange considerable sources; newspapers speak aback by a negotiations. 	Books	home repair	4.16	4441.55	1.28
-AAAAAAAAGPOCAAAA	Widespread, comprehen	Books	home repair	2.89	5969.32	1.73
-AAAAAAAAHGMAAAAA	Variables arrange hostile democrats. Original habits know as certain horses. Firm, technical pupils must see also never other	Books	home repair	9.17	2756.10	0.79
-AAAAAAAAHPJDAAAA	Services prepare always conventional conditions. British children ought to see seconds. Regional rivers preserve much royal, eligible millions; anxious, past customers shall not accompany. Names c	Books	home repair	1.77	435.75	0.12
-AAAAAAAAIKODAAAA	Final, final wives show between an rocks. Final, local participants might sue at all blue hours. Kinds move always generally benefic	Books	home repair	4.05	2041.92	0.59
-AAAAAAAAILKCAAAA	Possible, advisory conclusions could not reply. Preliminary rooms should provide initiatives. Still constitutional women should take into a chemicals. Well good effects must a	Books	home repair	74.38	1283.39	0.37
-AAAAAAAAIMCDAAAA	Different ties woul	Books	home repair	1.64	4975.45	1.44
-AAAAAAAAINCDAAAA	Chinese dreams cannot tell how	Books	home repair	0.53	16303.25	4.72
-AAAAAAAAINLAAAAA	Common colonies tell british, regular me	Books	home repair	4.31	2360.53	0.68
-AAAAAAAAIPHBAAAA	Narrow eyes shall affect in a goods. Addit	Books	home repair	0.45	8478.03	2.45
-AAAAAAAAJACCAAAA	Even rural schemes lead bombs. Ready minutes expect quite matters. Old flowers s	Books	home repair	4.45	1861.31	0.53
-AAAAAAAAJAICAAAA	Too good effects telephone too crazy students. Specific, scottish elements might not tell nuclear variables. Following stations receive more responsible	Books	home repair	8.80	1283.82	0.37
-AAAAAAAAJKFBAAAA	Events stop a little. Northern, white walls welcome at all businesses. Governors must see from a 	Books	home repair	1.96	2145.98	0.62
-AAAAAAAAKCDCAAAA	So alternative bones make very blind, foreign things. Policies find main, industrial cases. Funds must buy enough quite quiet years. Much different photographs clear serious	Books	home repair	7.09	5403.68	1.56
-AAAAAAAAKDBDAAAA	Firm towns may come only clear, main companies. Enough old groups appoint. Children know in a co	Books	home repair	2.74	14467.49	4.19
-AAAAAAAAKFHBAAAA	Offences would not tell ideas. Required neighbours would create previously. Human processes become suddenly specific casualties; things used to propose closely. Substantial views may claim 	Books	home repair	8.16	3073.31	0.89
-AAAAAAAAKPNDAAAA	Slowly small communicat	Books	home repair	6.35	41.86	0.01
-AAAAAAAALALAAAAA	Important months sing then remaining ways; national tears seem other, com	Books	home repair	0.95	1598.49	0.46
-AAAAAAAALCCEAAAA	Daily lines must say as. Ready conditions avoid police. Girls ought to reveal however managerial affairs;	Books	home repair	19.65	4979.65	1.44
-AAAAAAAALOCEAAAA	Public, crucial institutions get. Years could materialise. Nice plans involve; details must not see about a sounds. Very medical activities may remain offices. Yet high lovers carry only future p	Books	home repair	29.87	4356.99	1.26
-AAAAAAAALPGCAAAA	Free, relevant facilities used to include on a assumpt	Books	home repair	0.21	8613.92	2.49
-AAAAAAAAMBGAAAAA	Regulatory, financial words would obtain yet at a relatives. Also main lines should bel	Books	home repair	3.33	\N	\N
-AAAAAAAAMCADAAAA	Much certain gardens shall not result quick sounds. Of course outer opportunities see very. Recent terms might take a	Books	home repair	7.12	1197.79	0.34
-AAAAAAAAMGPCAAAA	Wonderful, public offices might carry ordinary rivers; girls stay supreme hands; right wide forces afford too internationally impossible lovers. Fresh, social teeth grow. Other, permanent	Books	home repair	1.47	1447.85	0.41
-AAAAAAAAMJDCAAAA	Average features detect instead in a consequences; single organisations 	Books	home repair	3.98	238.38	0.06
-AAAAAAAAMKGDAAAA	Gay, safe banks must not live sure markets; spanish, possible environments hold gradually. Large, desperate defendants should take commonly wide horses. P	Books	home repair	0.60	3710.97	1.07
-AAAAAAAAMLNCAAAA	Appropriate, special fans may not talk best rather real feet. Generally mass systems define so. Today tragic towns ensure only established, serious players. Good at	Books	home repair	6.74	7388.24	2.14
-AAAAAAAANAOBAAAA	In general high russians sound easily police. Organisers can produce just off	Books	home repair	35.14	9200.97	2.66
-AAAAAAAANCBDAAAA	White times examine products. Alone, square examples used to get highly. Willing chairs must not conjure immediately recent members; northern societies may seem properly p	Books	home repair	3.44	8972.70	2.60
-AAAAAAAANOAEAAAA	Labour, h	Books	home repair	35.82	4334.42	1.25
-AAAAAAAAOHHBAAAA	Subjects sit only usually financial drugs; either joint months eat at a changes. Unpleasant gardens gain sad, new values. Articles give similarly ideally strange others. As responsible c	Books	home repair	6.71	5509.44	1.59
-AAAAAAAAOIFCAAAA	Only final contributions could take though specialist experiments. There possible arrangements respect emotions. Public groups seem peaceful spirits. Criminal conservatives ought to give as in 	Books	home repair	7.48	1530.85	0.44
-AAAAAAAAOJIAAAAA	Redundant children will not replace at all useful hospitals; technical	Books	home repair	1.32	7630.43	2.21
-AAAAAAAAOONCAAAA	Away central others argu	Books	home repair	3.39	8232.26	2.38
-AAAAAAAAPEDDAAAA	Influential, major levels like. Secondary divisions may give factories. There little	Books	home repair	1.96	1506.72	0.43
-AAAAAAAAPHIBAAAA	Suddenly toxic trials indicate tender, light shares. 	Books	home repair	5.02	12184.82	3.53
-AAAAAAAAPKPAAAAA	Techniques sink very thinking examples. Still innocent spirits face eventually little products. Video-taped reports exceed far processes. New org	Books	home repair	2.42	15339.28	4.44
-AAAAAAAAPNGAAAAA	Unusually small programmes would lift recently social, small workshops. Offices s	Books	home repair	1.73	11693.58	3.38
-AAAAAAAAADCAAAAA	Nice knees help be	Books	mystery	1.55	2196.44	1.28
-AAAAAAAAADDBAAAA	Numbers take serious, christian lips. Blue objects flow only quite immediate countr	Books	mystery	7.65	3764.47	2.20
-AAAAAAAAAIJDAAAA	Central, entire generations like poor, indian loans. Gentle, powerful buildings adopt again activities. Married sounds will write in the organizations. Bodies appear to the days. Already bro	Books	mystery	4.06	4820.07	2.82
-AAAAAAAAAPIAAAAA	Ministers should fail never ears; civil, biological problems will re	Books	mystery	6.70	859.50	0.50
-AAAAAAAABONDAAAA	Joint, foreign relationships ring other, physical representations. Illustrations will not understand more flat pupils. Soft, grateful constraints train little, short par	Books	mystery	0.09	4407.35	2.58
-AAAAAAAACECAAAAA	Human, possible rumours buy then both following sides; continuous hands use again in the writers; distinctive others increase afterwards wild s	Books	mystery	4.92	7175.75	4.21
-AAAAAAAACLBAAAAA	Common, logical babies must take somehow general months. Costs drag. Big, british areas give dramatic, effective clot	Books	mystery	3.00	834.09	0.48
-AAAAAAAACOOCAAAA	Only excellent concentrations shall want more monthly, blind subsid	Books	mystery	8.38	26196.44	15.37
-AAAAAAAADPJBAAAA	Human years improve broadly poli	Books	mystery	3.93	7206.32	4.22
-AAAAAAAAEKGDAAAA	Houses should 	Books	mystery	1.77	3341.80	1.96
-AAAAAAAAFFDDAAAA	French, civil hours must report essential values. Reasonable, complete judges vary clearly homes; often pleasant women would watch. Poor,	Books	mystery	2.79	4237.23	2.48
-AAAAAAAAFGACAAAA	Fe	Books	mystery	8.45	8868.51	5.20
-AAAAAAAAFINCAAAA	Words want just to the allegations; sometimes clear thousands shall belong up to an views; oth	Books	mystery	4.62	11058.27	6.48
-AAAAAAAAGJICAAAA	Written leaders could help by a buildings; symbols could take more far isolated patients. Other, different stages flow new words. Rightly american thousands ought to contact away only	Books	mystery	6.88	4311.47	2.53
-AAAAAAAAGOCDAAAA	Estimates give true bi	Books	mystery	8.51	1958.69	1.14
-AAAAAAAAHCAEAAAA	Most medium weeks look under the families. Women could mould bare states. Disciplinary, big meetings stand only materials. Practical requirem	Books	mystery	1.70	6075.82	3.56
-AAAAAAAAHGPAAAAA	Historic, level to	Books	mystery	29.30	9950.91	5.83
-AAAAAAAAHHIAAAAA	Evenings go simply central conditions. Small, other characters must not sha	Books	mystery	2.79	2810.85	1.64
-AAAAAAAAHLKAAAAA	New centuries seem too. Wide, possible fathers shall rise in addition in a homes. Parti	Books	mystery	51.60	6137.08	3.60
-AAAAAAAAIGAAAAAA	Rapidly difficult films realize. Deep electronic parents calculate remaining affairs	Books	mystery	2.33	694.84	0.40
-AAAAAAAAIGBBAAAA	Patients must sanction however examples. Electronic, executive patients may indicate at least american studies. Children might not give worldwide administ	Books	mystery	61.27	1488.27	0.87
-AAAAAAAAIJBBAAAA	Ships achieve as old, considerable members. New, key characters could not play n	Books	mystery	0.98	5339.52	3.13
-AAAAAAAAIPCEAAAA	Short working places might w	Books	mystery	1.12	7288.21	4.27
-AAAAAAAAJFACAAAA	Mistakes prove slowly most big companies. Eggs make even in a relations. Heavily little crops reach in a procedures. New, nuclear deposits reduce even of	Books	mystery	4.93	2992.30	1.75
-AAAAAAAAJFEEAAAA	Quite welsh costs agree specially results. Goth	Books	mystery	1.83	11.52	0.00
-AAAAAAAAKDMBAAAA	Welsh, electoral points shall fix more approximately possible claims. T	Books	mystery	2.83	7833.83	4.59
-AAAAAAAAKJAEAAAA	Cautiously fair arms find a little plans. Years ought to react common arms. Wrong structures reflect effectively countries. Human ways may get just capital, regional animals; similar, senior pl	Books	mystery	2.75	\N	\N
-AAAAAAAAKMNCAAAA	Yet complex diff	Books	mystery	6.10	1442.68	0.84
-AAAAAAAAKNLBAAAA	Sisters go seemingly tall, special fragments; straightforward grounds make all	Books	mystery	7.67	1378.73	0.80
-AAAAAAAALEPBAAAA	Especially correct courts en	Books	mystery	2.92	1425.08	0.83
-AAAAAAAAMABAAAAA	Small designs may not guide sure single things	Books	mystery	3.73	2586.34	1.51
-AAAAAAAAMMKAAAAA	Widespread, mental authorities go less than new symptoms. 	Books	mystery	3.63	6301.51	3.69
-AAAAAAAANHBEAAAA	Clean pictures would become through a clients. Legs sell up to a effects. Powerful, german areas may come in general at least little changes. Too medical years may suck probably soon pub	Books	mystery	6.36	1659.84	0.97
-AAAAAAAAOFBAAAAA	Real, correct drinks deny carefully. Good subjects shall not contribute home highly mediterranean ideas; whole workers should affect by a dishes. Eyes can believe productive, total eyes. Databa	Books	mystery	3.10	2329.80	1.36
-AAAAAAAAOGODAAAA	Bizarre months furnish other, central words. Wide orders might end. Other,	Books	mystery	2.25	8600.32	5.04
-AAAAAAAAONIDAAAA	So serious weeks might come weak members. At all young boxes imagine armed girls; fairly political services work technical, local authorities; actu	Books	mystery	51.11	2815.12	1.65
-AAAAAAAAACDDAAAA	Parents may affect perfect conten	Books	parenting	0.98	4697.24	1.93
-AAAAAAAAADOCAAAA	Hands know european, absolu	Books	parenting	1.88	3032.67	1.25
-AAAAAAAAAIEEAAAA	New results used to lead soon african, true penalties. Popular trains follow environmentally classical gates. Final crews will indica	Books	parenting	0.41	11256.20	4.64
-AAAAAAAAALFBAAAA	Beaches make 	Books	parenting	0.44	1510.40	0.62
-AAAAAAAABHGCAAAA	Girls become from a intervals. Changes shall crash further very initial families. Total, possible systems advertise	Books	parenting	5.34	4131.30	1.70
-AAAAAAAACFCEAAAA	Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the 	Books	parenting	4.46	1505.79	0.62
-AAAAAAAACLKCAAAA	Distinctive, narrow members will think too rules. Teenage, rigid patients occur steadily public, local databases	Books	parenting	1.50	8666.56	3.57
-AAAAAAAADAGEAAAA	Environmental businesses behave settlements. Students might make of course almost organisational goals. Eyes brush on	Books	parenting	7.79	5382.48	2.22
-AAAAAAAADIEEAAAA	Previous, other details will talk ahead. Children hear here; true services require children; partly lucky members must make at first uncertain	Books	parenting	1.85	8637.81	3.56
-AAAAAAAADLDCAAAA	Political, lucky standards learn appeals. Eventual, influential services involve numerous, coming scientists. Eyes play less	Books	parenting	9.95	18505.53	7.63
-AAAAAAAADOODAAAA	Major feet must prevent other, able problems. Provisions attract. Daughters accept in pri	Books	parenting	2.06	5288.92	2.18
-AAAAAAAAEBFAAAAA	Small companies develop vehemently. Past, great rights would get so ways. Soon national members achieve. Professional, stupid properties can tell m	Books	parenting	99.89	10199.20	4.20
-AAAAAAAAEEHBAAAA	Generally communist workers ought to speak to a quantities. Male, english decades take. Explanations retain comparatively large, enormous patterns. Mediterranean budget	Books	parenting	5.73	525.26	0.21
-AAAAAAAAEPHDAAAA	More clear charges dry both. More fat days research often strong skills. Now old features admit too good minerals. Abo	Books	parenting	1.05	5748.19	2.37
-AAAAAAAAFDHBAAAA	Ages see both to an supporters. Creative sides will not make always. Groups grow therefore expensive talks. Apparent citizens survive across new, single minutes; previous, dark rivers qualify.	Books	parenting	7.04	4281.84	1.76
-AAAAAAAAFDMCAAAA	Long walls may clarify cases. New chairs will attract legal patients. Functions disc	Books	parenting	8.06	721.21	0.29
-AAAAAAAAGFCAAAAA	Departmen	Books	parenting	2.09	8636.38	3.56
-AAAAAAAAGNPBAAAA	B	Books	parenting	0.89	129.54	0.05
-AAAAAAAAICKCAAAA	Fears take sudden developments. Central cells might try forward for instance special banks. Feet must not mean also. Flat times shall ask over the days. Regulations may consider; 	Books	parenting	7.20	12010.46	4.95
-AAAAAAAAIFFEAAAA	Else ashamed temperatures sue negative things. Groups will	Books	parenting	41.35	2974.92	1.22
-AAAAAAAAIFNAAAAA	Acute, important performances afford. New, nuclear men used to assess again small results.	Books	parenting	10.11	14724.17	6.07
-AAAAAAAAIHFAAAAA	Significantly small suggestions will not come more new blue terms. Fundamentally previous soldiers understand alone huge contracts. Religious, professional miles must ap	Books	parenting	4.64	5046.48	2.08
-AAAAAAAAIMJCAAAA	Usually different views shall serve personally unknown symbols. Countries prove methods. Necessary men consider also to a communications. Always inner hundreds will not share suddenly from a shops. P	Books	parenting	8.94	220.25	0.09
-AAAAAAAAJDHAAAAA	Continued ideas reflect only still other prices. Actually historical weeks help low, appropriate companies; recent provisions widen du	Books	parenting	2.16	1105.75	0.45
-AAAAAAAAJLNBAAAA	Subjects may think on a times. New, back services will keep along a runs; trees engage financial models; again limited men might join certainly. R	Books	parenting	4.12	2508.75	1.03
-AAAAAAAAJNFBAAAA	Instead certain attempts would fit even medical natural rates. Aware, critical newspapers say wit	Books	parenting	71.58	10076.22	4.15
-AAAAAAAAKGLBAAAA	Clear approaches should take alone daughters. Complex, small materials provide also by a groups. Americans discuss so. Cons	Books	parenting	3.34	390.37	0.16
-AAAAAAAAKHAAAAAA	Generally french beds will ask amounts. Difficult, difficult workers would come once again in a resources. So inc	Books	parenting	2.62	8339.40	3.44
-AAAAAAAAKHEBAAAA	New, busy years think potentially to a lights. Much apparent individuals find still other places. Speakers could 	Books	parenting	4.76	10612.15	4.37
-AAAAAAAAKILDAAAA	Also parental feet must suggest now relationships	Books	parenting	1.19	1021.77	0.42
-AAAAAAAALODDAAAA	As generous germans mean almost eastern variables. Long years must not face really good, atomic relations; chemical, corporate bills must honour seasons. Artificial, gold materials determine	Books	parenting	4.51	894.70	0.36
-AAAAAAAAMANDAAAA	French	Books	parenting	4.98	15486.40	6.38
-AAAAAAAAMECBAAAA	Provisions go too. Sad others contain italian branches. Keys k	Books	parenting	2.08	446.00	0.18
-AAAAAAAAMFBEAAAA	Hopes should not remember more consistent colours. Really new techniques could not consider then forms	Books	parenting	5.58	20249.86	8.35
-AAAAAAAAMFKBAAAA	Most modern concentrations may direct e	Books	parenting	0.56	2622.96	1.08
-AAAAAAAAMHABAAAA	Features might not get as pounds. Names should indicate ages. Police used to see ele	Books	parenting	2.79	7738.10	3.19
-AAAAAAAAMNNAAAAA	Rightly responsible documents laugh other candidates. Educational times hide specific, famous elections. Styles cannot go to the sides	Books	parenting	0.70	1084.32	0.44
-AAAAAAAAMNNDAAAA	Theoretical degrees sho	Books	parenting	3.90	731.52	0.30
-AAAAAAAAMOPDAAAA	Studies go of course unable friends; here brilliant techniques understand radical, passive	Books	parenting	70.67	160.48	0.06
-AAAAAAAANBLDAAAA	Other, correct points pick. Policies shall regard of course just major topics; white, popular wome	Books	parenting	0.42	480.20	0.19
-AAAAAAAANMAAAAAA	Over wide attacks agree i	Books	parenting	7.30	497.35	0.20
-AAAAAAAAOAIAAAAA	Possible, concerned facilities would not show also most due opinions. Empty students maintain of course possible, particular years. 	Books	parenting	8.67	1180.36	0.48
-AAAAAAAAOFNDAAAA	Anywhere proper men will not run remarkable, revolutionary libraries. Poor rates used to hear also. Huge years see structural churches.	Books	parenting	7.36	2344.16	0.96
-AAAAAAAAONMCAAAA	Spanish, likely professionals should te	Books	parenting	5.56	10391.64	4.28
-AAAAAAAAPAICAAAA	Other ambitions seek aloud to a measurements; other hands could provide children; also particular pp. could push fine, huge mines. Just coun	Books	parenting	4.72	555.56	0.22
-AAAAAAAAPMHAAAAA	Right social years would fit indirectly creatures. Very suspicious words should not write particular, typical views. Rarely evident hours wish more lucky others. So racial loans imitate a	Books	parenting	6.39	5658.92	2.33
-AAAAAAAAAEGDAAAA	Important, large lips warrant. Only old solutions live lovely ingredients. Angles ought to marry central, white banks. Threats follow.	Books	reference	1.85	5201.12	1.72
-AAAAAAAAAHHCAAAA	However other lines could afford just for the groups. Tenants must purchase. British arrangements continue domestic, quick tasks. Traditiona	Books	reference	1.65	10890.80	3.61
-AAAAAAAAALMAAAAA	Back, social names gather known experiences. Tough problems shall gain. Powerful, far stones cou	Books	reference	3.50	3501.82	1.16
-AAAAAAAAAODAAAAA	Secondary, economic pupils loo	Books	reference	3.68	2726.82	0.90
-AAAAAAAABDFEAAAA	Magnetic students respond small figures. Tasks may not know less european, scottish months. Characters shall concentrate yesterday still usual systems. Projects	Books	reference	4.91	6302.00	2.08
-AAAAAAAABDJDAAAA	Primary, curious reports feel late of course waste weeks; yellow arts imagine still prices; unpleasant, remote forms differ rather than 	Books	reference	2.91	5200.56	1.72
-AAAAAAAABEHBAAAA	Steep, labour clubs achieve less hands; often great towns mean tall, new maps. Conditions occur following men. Costs should coordinate; objectives know modest details. Child	Books	reference	2.13	3695.28	1.22
-AAAAAAAABLHAAAAA	Perhaps old sources disappear. Small, bright enterprises used to take by a systems. Local proteins could not try then. Blank, special colleges appear.	Books	reference	7.38	14646.94	4.85
-AAAAAAAABNJCAAAA	At least assistant bands can address certainly black trees. Terms ought to knock ex	Books	reference	0.49	471.36	0.15
-AAAAAAAABOBDAAAA	Immediately professional cells may ship properly forward political members. Daily, direct trains can choose clearly. Partners answer everywhere at a chara	Books	reference	0.18	16491.62	5.46
-AAAAAAAACFGDAAAA	Even other windows ought to appear very scientists. Models close. Certain actions might press soon by the programs. Ultimate, ill de	Books	reference	8.20	2172.73	0.72
-AAAAAAAACIBCAAAA	At once good friends limit. Too simple stations	Books	reference	1.88	558.14	0.18
-AAAAAAAACKJCAAAA	Possibilities should not fit almost eggs; seriously little members del	Books	reference	3.40	9476.74	3.14
-AAAAAAAACKNBAAAA	Today labour characters used to like quite black difficult papers; ages catch low, common matters. Sick judges might make both opposite seeds. Public, foreign proceedings must not rescue of c	Books	reference	3.30	2429.21	0.80
-AAAAAAAACLGAAAAA	Rather suitable weapons could prosecute ago labour, large users. Affairs use normally at the unions; emotions can say; armed,	Books	reference	2.23	2328.47	0.77
-AAAAAAAACLPBAAAA	Officials can include more. Trades imagine still in a words. That is american systems should not demonstrate even for a characters. Electrical members should not think able, foreign finger	Books	reference	9.55	601.20	0.19
-AAAAAAAADBOBAAAA	Notions shall say major journals; economic standards make at once old requirements. So corporate numbers ask now in a images; surely closed feelings m	Books	reference	1.80	5327.56	1.76
-AAAAAAAADIKBAAAA	Rural, strong dollars can go in a students; nice restrictions leave afield spectacular, royal experts; decisions ought to defend about early effective pp.; russian, national relations shall deli	Books	reference	9.64	3655.37	1.21
-AAAAAAAAEEJCAAAA	Soldiers may look generally specific forces. Functions shall provide even negative pensioners. Real, soviet opportunities cry no lon	Books	reference	52.92	6544.32	2.16
-AAAAAAAAEJDEAAAA	Natural communities create original youngsters; as beautiful children smooth legal, big agreements. Special, other heads make regularly la	Books	reference	6.41	8590.84	2.84
-AAAAAAAAEKFDAAAA	Young blacks might answer here great factors. Shares will not cond	Books	reference	0.35	3766.67	1.24
-AAAAAAAAGJHDAAAA	Effective needs may not improve old bonds. Courts cannot come only with a sources. Before proud files like just partial authorities. Parliam	Books	reference	0.97	966.50	0.32
-AAAAAAAAGKMBAAAA	Front markets ought to reach very academic ways. Then possible words open entirely public products. Softly origin	Books	reference	4.07	4860.86	1.61
-AAAAAAAAGOPCAAAA	Concerned agreements may imagine forward large demonstrations. Primary, excellent months would not think clearly by a hopes. Open firms wipe men. Impor	Books	reference	2.27	3976.69	1.31
-AAAAAAAAHFBAAAAA	Old places avoid certain, typical hands; here original arms see in a ideas. Good	Books	reference	38.26	3993.95	1.32
-AAAAAAAAHLNDAAAA	Markets must say for ever then green weeks. Better fresh forces find also similar restaurants; proposals materialise for a procedures. Here other results 	Books	reference	2.44	2428.67	0.80
-AAAAAAAAHMGAAAAA	Words bear international, expected countries. Apparent, misleading years get ever rich grounds. Over atomic feet could forgive ultimate, educational bishops; current, vas	Books	reference	4.95	2101.32	0.69
-AAAAAAAAHOHDAAAA	Educational reasons know also through an economies. Countries hope constitutional, rough ministers. Relations would not say also likely gue	Books	reference	6.23	3994.17	1.32
-AAAAAAAAIAMCAAAA	Very financial ministers eat vigorously. Other questions may research upside down blue matters. Weak, electronic forces relax military keys. Especially enormous police collapse per	Books	reference	7.85	389.64	0.12
-AAAAAAAAIGBCAAAA	Liberal, civil customers refuse. For the most part real areas should ask mainly carefully	Books	reference	6.46	4308.11	1.42
-AAAAAAAAINJBAAAA	Young, working horses see mentally 	Books	reference	1.27	5566.78	1.84
-AAAAAAAAKGKAAAAA	Competitors may pin including the 	Books	reference	0.82	2136.19	0.70
-AAAAAAAAKIEEAAAA	Essential interests can discover luckily from a activities. Righ	Books	reference	21.45	10159.85	3.36
-AAAAAAAAKKJCAAAA	Wages	Books	reference	5.92	5010.76	1.66
-AAAAAAAAKNGCAAAA	Levels could say pointedly original, happy sessions; immense, technological decisions might discourage basic difficulties. Officials find. Simple, 	Books	reference	8.70	8242.17	2.73
-AAAAAAAAKOFCAAAA	Unusual years might buy others. Enough mutual facilities could not respond views. Differences s	Books	reference	1.01	5857.89	1.94
-AAAAAAAALCFBAAAA	English 	Books	reference	3.87	3969.62	1.31
-AAAAAAAALIDAAAAA	Largely substantial contracts facilitate. Yet full values can advise extremely plants. Men classify empty contacts. Private, common events can want more just central patients. Enti	Books	reference	1.55	2435.84	0.80
-AAAAAAAALIOBAAAA	So no	Books	reference	73.22	1488.48	0.49
-AAAAAAAALNGBAAAA	Levels will l	Books	reference	3.87	13388.03	4.43
-AAAAAAAAMBFEAAAA	Else incredible women must tackle smoothly neverthe	Books	reference	2.99	9050.98	3.00
-AAAAAAAAMIHCAAAA	Clients could attempt that is to say now warm days; national problems would not belong for a stars. Issues write thereafter cases. Successful years add together perhaps easy ye	Books	reference	9.95	6398.40	2.12
-AAAAAAAAMKPAAAAA	Blue findings used to assess by a relatives. International, important qualities shall stay spanish, active roses; solid villages will stand in order certain members.	Books	reference	96.43	12441.19	4.12
-AAAAAAAAMNICAAAA	Efficient, good eyes last more friendly, famous ideas. Letters could go. Financial, central eyes can find then ready courses. Common horses work inter	Books	reference	9.08	4496.30	1.49
-AAAAAAAANIABAAAA	Prospective, other jeans must set short old women. 	Books	reference	1.46	4902.61	1.62
-AAAAAAAANJAAAAAA	Young, white workers may not wreck british, statistical explanations. New complaints leave no longer only wide doors; shops beat new restrictions. Horses must not test by now anonym	Books	reference	2.21	3352.26	1.11
-AAAAAAAANKKBAAAA	Now usual others shall express again books. Inevitable sales cannot take good. Significantly long words finish continuous, good duties. Countries can run in a branches; even s	Books	reference	6.03	10533.60	3.49
-AAAAAAAAOGIBAAAA	Social democrats begin more inside the results. Important, particular minutes make in front of the relations. 	Books	reference	52.52	8592.19	2.84
-AAAAAAAAOHKBAAAA	Well efficient schools will include indeed areas. Maybe wrong years can like early 	Books	reference	80.48	16574.03	5.49
-AAAAAAAAOMBBAAAA	Statistically warm resources keep too up to a p	Books	reference	6.39	14301.76	4.74
-AAAAAAAAOMJCAAAA	Good ships get young points. Rarely extra countries like. Women rise better. Further permanent representatives ought to say substantial buildings. Less typical pre	Books	reference	4.76	73.77	0.02
-AAAAAAAAOMLAAAAA	Disabled relations express doubtfully common hours; very inappropriate ideas make bad, light theorie	Books	reference	28.84	482.76	0.16
-AAAAAAAAONDCAAAA	Libraries will result too cond	Books	reference	0.63	509.76	0.16
-AAAAAAAAPECBAAAA	Sides will not make very working influences. Assistant clothes carry quite benefits. Available part	Books	reference	25.23	10081.79	3.34
-AAAAAAAAAANDAAAA	Ashamed eyes go european years. Major, modern patients	Books	romance	1.22	14955.95	4.03
-AAAAAAAAAGKDAAAA	Free eyes talk biolog	Books	romance	6.75	3412.47	0.92
-AAAAAAAAAPFCAAAA	Little, particular jobs become most hard symptoms. Regular, everyday systems cannot benefit in the diseases. International, flexible stones return for a elements. Future tables wou	Books	romance	1.59	390.03	0.10
-AAAAAAAABHLDAAAA	Rules can come largely deep wings; soviet, yellow kilometres could eat never bright, entire proposals. More pleased museums may n	Books	romance	9.78	10231.74	2.76
-AAAAAAAABNNBAAAA	For example used comments could conduct still. Tab	Books	romance	0.36	9861.48	2.66
-AAAAAAAABOBAAAAA	Old, revolutionary eyes may not serve fully by	Books	romance	2.38	7109.76	1.92
-AAAAAAAACHBDAAAA	Spare, american sports see even posts; views think at the bands; men flow 	Books	romance	2.58	1267.84	0.34
-AAAAAAAACJLAAAAA	Very huge councils will not stay elected, outstanding criticisms. Comfortable, financial rivers ought to follow on a men; children may not g	Books	romance	2.63	1236.83	0.33
-AAAAAAAACLABAAAA	Minor, obvi	Books	romance	1.53	2828.17	0.76
-AAAAAAAADLEBAAAA	Responsibilities require ships. Women ought to accept as to the pp.; huge children could hold wonderful, wil	Books	romance	0.66	14822.01	4.00
-AAAAAAAAEGDEAAAA	Capable interests should not make sorry, free courses. Offences should discuss 	Books	romance	2.82	1809.93	0.48
-AAAAAAAAEKFBAAAA	Other others provide simple descriptions. 	Books	romance	76.52	11952.32	3.22
-AAAAAAAAFCDAAAAA	Live, late activities feel principles. In	Books	romance	4.50	4341.92	1.17
-AAAAAAAAGAKBAAAA	Small babies must get. Women drive individuals	Books	romance	8.65	5632.03	1.52
-AAAAAAAAGCLAAAAA	Schools could change carefully then national courses. Vaguely capable others shall not say right arms. Goals know still products. Agencies would not drop ahead 	Books	romance	57.12	1025.83	0.27
-AAAAAAAAGGAEAAAA	Copies light unfortunately by a periods. Properly desirable leads must go between a windows. New years must take. New contents like much symbolic users. So short-term wheel	Books	romance	4.07	7648.84	2.06
-AAAAAAAAGIHBAAAA	Right joint uses cannot provide less labour, final windows. Ori	Books	romance	5.83	4286.08	1.15
-AAAAAAAAGLLDAAAA	Prov	Books	romance	2.61	4503.02	1.21
-AAAAAAAAGMIDAAAA	Anyway initial depths ought to raise over expenses. Little years ought to buy new sides. Phrases see across the folk. Barely considerable workers shall turn ev	Books	romance	2.54	526.08	0.14
-AAAAAAAAGNBCAAAA	Kids must not know sharp, post-war babies. Democratic alternatives result quite at a activities. Deep, various institutions might not return extremely special,	Books	romance	1.85	10864.92	2.93
-AAAAAAAAGNICAAAA	Results highlight as patterns; so right years show. Sometimes suitable lips move with the critics. English, old mothers ought to lift now perhaps future managers. Active, single ch	Books	romance	2.88	9733.14	2.62
-AAAAAAAAGNMBAAAA	Later anxious detectives might not see. Only bonds improve even interests. Other, common bands go here rural sections. Relative daughters m	Books	romance	47.10	312.70	0.08
-AAAAAAAAGPBEAAAA	Above upper shares should recall from a emotions. Books could not help british, 	Books	romance	1.23	4995.27	1.34
-AAAAAAAAHDJDAAAA	Even irrelevant acres like very through a readers. Already concerned ministers shrink please. Evident findings used to eat about unique	Books	romance	88.04	9277.24	2.50
-AAAAAAAAHGCEAAAA	Digital patients gain to a colours. Years make tem	Books	romance	16.58	2465.84	0.66
-AAAAAAAAICLBAAAA	Special words say little supreme, bare chapte	Books	romance	2.98	8297.43	2.24
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-AAAAAAAAIEBDAAAA	Opposite, original differences wait considerably vehic	Books	romance	6.34	2173.38	0.58
-AAAAAAAAILAEAAAA	Alm	Books	romance	6.14	16369.67	4.42
-AAAAAAAAILNCAAAA	Inevitably good years must understand operations. Originally regular systems help good, skilled sons. Museums could find national parents. Plants find into the needs. Following	Books	romance	7.85	4778.91	1.29
-AAAAAAAAIMADAAAA	Names use hard months. Traditional, irish groups could want markedly operations. Islamic, great facilities choose. Possible s	Books	romance	4.34	1911.19	0.51
-AAAAAAAAJAOCAAAA	That right mines used to contribute more in order mathematical items. Possible representatives s	Books	romance	8.05	4337.28	1.17
-AAAAAAAAJFDCAAAA	Great authorities can hear thus sheets. R	Books	romance	2.74	6392.84	1.72
-AAAAAAAAJHJDAAAA	At all silent aspects find properly apart expected trusts. Offices ought to meet also sweet lights. Yesterday environmental factors could doubt very significant f	Books	romance	4.42	3439.22	0.92
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-AAAAAAAAKDFCAAAA	Blue children can get grim, central eyes. New, reasonable meetings me	Books	romance	7.03	2197.07	0.59
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-AAAAAAAAKLODAAAA	Inner, unable students would continue sexual, deep things. Managers cannot make generally; recent, big pupils need among the children. Possible, steep movem	Books	romance	4.42	4697.61	1.26
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-AAAAAAAALDACAAAA	Otherwise local relations would fly between a women. Whole costs make even from the types	Books	romance	0.62	709.65	0.19
-AAAAAAAALFCEAAAA	Modern, natural prisoners should establish as modern weaknesses. Long, economic modules wish almost matters. Momen	Books	romance	4.47	4091.35	1.10
-AAAAAAAALLDAAAAA	Personal days see large, important parents. Children 	Books	romance	90.72	9585.93	2.58
-AAAAAAAAMGODAAAA	Local women will recognize depending on a leads. Fees might result dry, am	Books	romance	3.11	14015.32	3.78
-AAAAAAAAMLHBAAAA	Valu	Books	romance	1.87	4397.36	1.18
-AAAAAAAAMOAAAAAA	Sympathetically scottish things should take regularly on a programmes. Suitable, high stars could find above in a gains; wrong orders see for the speakers. English, grand groups shall not m	Books	romance	0.75	5274.42	1.42
-AAAAAAAAMPEAAAAA	Relations marry in a attacks. Prime books ma	Books	romance	2.81	2976.02	0.80
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-AAAAAAAANDOBAAAA	Limited, sharp hours look available proportions. Especially public ties object basic reductions; institutional sales apply; preferably territorial pp. used to pr	Books	romance	9.88	7408.89	2.00
-AAAAAAAANFHDAAAA	Accessible, sure opportunities used to help; too good films would not see 	Books	romance	9.91	3998.50	1.07
-AAAAAAAANPDAAAAA	Years teach then at once right heads. Agencies will say by a suppliers. Most permanent blacks should not promote as other, legal eyes. Courses get so double, light flowers. Eastern, british times c	Books	romance	2.90	4740.25	1.28
-AAAAAAAAOCJAAAAA	Married, appropriate minutes shall not get more big problems. Odd authorities cannot believe military effects. Prices shall not mean always natural,	Books	romance	2.17	3521.31	0.95
-AAAAAAAAODECAAAA	Indian, recent occupations mind too effects; days will discuss today also significant meanings; short foreign services shall direct early, electrical children. Else old years say latterly complete co	Books	romance	4.36	2078.76	0.56
-AAAAAAAAOFHAAAAA	Simple, ideal images ought to stand accid	Books	romance	7.19	5764.42	1.55
-AAAAAAAAOGGDAAAA	At least quiet students will kick by a practices; english beaches try again main meetings. Simple, narrow policies m	Books	romance	4.39	14404.18	3.89
-AAAAAAAAOJACAAAA	New, certain conditions use. Appropriate, good miles lift ne	Books	romance	8.68	2985.60	0.80
-AAAAAAAAOKCAAAAA	There welcome references must lower. Legal, broken houses may not note both large efforts; technical, agricultural patterns must not make strategic children. 	Books	romance	2.33	16509.31	4.45
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-AAAAAAAAOLBCAAAA	Able services know books. Little new coins might not protect; social, young affairs account too into the	Books	romance	7.57	6156.24	1.66
-AAAAAAAAOOECAAAA	Foreign scenes qualify of course objectively	Books	romance	3.63	3374.70	0.91
-AAAAAAAAOPMAAAAA	Selective years may dispense especially dual schools. Carefully concrete tan	Books	romance	52.25	2531.27	0.68
-AAAAAAAAADJCAAAA	Brothers would count other partners; private patients know. Never joint farmers c	Books	science	3.21	9474.14	2.99
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-AAAAAAAAAIHBAAAA	Valuable, young ways make at all years. Mo	Books	science	3.67	13305.96	4.20
-AAAAAAAAAIJAAAAA	Complex, different boats pick only. Objectives assess on the bands; full, effective arts must mis	Books	science	6.70	4666.56	1.47
-AAAAAAAAAKCCAAAA	Responses find up to faint rates. Hours should not expire at a	Books	science	9.54	4713.74	1.49
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-AAAAAAAACHBBAAAA	Relatively sad accidents happen secondary, other sons; organisatio	Books	science	3.19	11344.35	3.58
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-AAAAAAAACMFDAAAA	Central vehicles matter now at a companies; r	Books	science	1.11	1098.99	0.34
-AAAAAAAACPCAAAAA	Only, s	Books	science	0.31	19345.48	6.12
-AAAAAAAADAHAAAAA	Forces require more new examples. Also narrow students take files. Native, important objectives ought to release still legs. Difficulties might say mainly. Years	Books	science	2.33	1815.50	0.57
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-AAAAAAAAENFAAAAA	Outstanding shows would produce all english hearts; deep, strange relations will help bars. At last available operations should not dry long alternative gl	Books	science	1.51	2004.47	0.63
-AAAAAAAAEPHAAAAA	Ago social details will gain mothers. Actively regional reports remain	Books	science	0.14	6145.19	1.94
-AAAAAAAAFOPAAAAA	Moments use above local studies. More ordinary columns point now considerable services. At	Books	science	1.46	4199.46	1.32
-AAAAAAAAFPEEAAAA	New, enthusiastic shares embrace. Averag	Books	science	2.00	578.34	0.18
-AAAAAAAAGGICAAAA	Nowhere new points will not go places. Capable, local courses explore both barely distinctive numbers. Seriously recent areas begin rare, reas	Books	science	2.21	10413.61	3.29
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-AAAAAAAAGNHCAAAA	Central scientists shall not keep also in the countries. Other, financial authorities could not experience deep, other banks. Cells may avoid on the animals;	Books	science	4.28	6338.81	2.00
-AAAAAAAAGOPDAAAA	Overseas, back workers make humans. Final, difficult parties kiss over within an metals; possible men ought to work further military meetin	Books	science	3.25	10456.69	3.30
-AAAAAAAAHIPBAAAA	Yet small groups feature earnings. Young engines would try t	Books	science	0.75	6821.76	2.15
-AAAAAAAAICLCAAAA	Letters may produce quite natural, available elections. Important, white sides 	Books	science	7.28	14476.65	4.58
-AAAAAAAAIENBAAAA	Experiences help by a goods. Black prices live all sure, technological employers. Short, clever breasts play old memories. Strong refugees tell basically feet. Things earn in a persons.	Books	science	6.52	5876.66	1.85
-AAAAAAAAIPFAAAAA	Extra, public branches shall list rather international police. Little v	Books	science	2.51	2456.91	0.77
-AAAAAAAAJBMDAAAA	Presumably social provisions see photographs; other prices might not decide unduly european, unusual levels. Illegal, military men shall choose here high birds. Key drawi	Books	science	3.35	3904.01	1.23
-AAAAAAAAJOGCAAAA	Pounds would fit very significant weeks. Open, single churches provide. Meetings lose financial members. Things reduce too. Waters place usually determined agents. 	Books	science	4.57	8847.64	2.79
-AAAAAAAAKBPCAAAA	Round, open details put laboratories. Essential eyes see as again small opponents; ever sophisticated products congratulate also as great changes. Also young agents locate almost by a affairs. E	Books	science	8.45	8052.40	2.54
-AAAAAAAAKHGDAAAA	Probably contrary schools meet really short daught	Books	science	6.65	5200.35	1.64
-AAAAAAAAKJPDAAAA	Joint girls should keep with the agencies. Different, familiar ga	Books	science	0.75	2296.48	0.72
-AAAAAAAAKLKBAAAA	Very wrong marks would like in particular new, african quantities; local barriers return. Things used to see. Dead clients must not say studies. There good studies start appropriat	Books	science	4.54	1738.61	0.55
-AAAAAAAALEABAAAA	Always black matters say together on the explanations. Central problems get. Intervals favour severely disastrous reserves. Talks must retain scottish, fundamental years; other, fine 	Books	science	7.19	7835.40	2.47
-AAAAAAAALJLAAAAA	Students shall want. Competitive parents can need. Big, kind children should relax also potential interviews. As available offenders must not continue too random, econo	Books	science	8.70	1050.54	0.33
-AAAAAAAALMGCAAAA	Enough financial clients may figure now old problems. Real funds hear at least also tall schools. Quite new authorities mu	Books	science	4.28	5155.25	1.63
-AAAAAAAAMAEAAAAA	Civil sites overlap conditions. More high interests send. Real, human cases provide straight enquiries. Months collect again just specifi	Books	science	7.92	4764.68	1.50
-AAAAAAAAMAIDAAAA	Mental, vast persons must not cancel wrong photographs; close difficulties redeem letters. Symbols may ensure demands	Books	science	2.94	3625.10	1.14
-AAAAAAAAMEKCAAAA	So international methods hold hence as senior glasses. So direct complaints will not attract far. Even narrow members must happen in a vehicles. Institution	Books	science	3.31	7136.50	2.25
-AAAAAAAAMNPBAAAA	Wrong heads used to get too buildings. Slig	Books	science	2.46	239.24	0.07
-AAAAAAAANBODAAAA	Only obvious profits produce now. Swiftly necessary times used to formulate here circles. Primary drugs inform doubtless low cases; too previous concessions pay. V	Books	science	3.96	6222.82	1.96
-AAAAAAAAODFDAAAA	Marked, large years	Books	science	0.95	3439.80	1.08
-AAAAAAAAODOBAAAA	Services shall make just never average rights; actual, high walls manufacture. Human, italian wars obtain then l	Books	science	9.76	14755.75	4.66
-AAAAAAAAOFEDAAAA	Standards feel over young arts. Various customers suit just alive, original students. Very, good agents could drive once local, other troops. Below automatic oc	Books	science	34.76	7254.37	2.29
-AAAAAAAAOKJBAAAA	Only rapid powers used to translate voluntary, angry degrees. As new backs would not know subsequently other tasks. Tight capital teams used to go perhaps essential, pos	Books	science	4.12	1493.25	0.47
-AAAAAAAAONOAAAAA	Issues should quote worth a children. All social years stand men. Problems consider to a errors. Old groups cost permanently; pink, normal goods consider. Particularly oth	Books	science	6.23	13046.45	4.12
-AAAAAAAAONPCAAAA	Economic roles should treat. Tall, soft rocks would assess together. Unique lectures would not 	Books	science	0.13	1744.21	0.55
-AAAAAAAAOOBCAAAA	Formerly huge doubts raise alone periods. Soon appropriate winners avoid quite. Concerns arouse even old, christian groups. Less	Books	science	4.05	1392.02	0.44
-AAAAAAAAPFACAAAA	Twice part-time songs will end certainly free charges. Schools would make particularly terms; more fresh services change too. Books may secure in order artists; students should look right tired at	Books	science	5.32	8424.73	2.66
-AAAAAAAAAAGCAAAA	Longer other prices give here old examples. Much silent police might go including a perceptions. Early, new programmes promote too for a laws. Actors should not speak as relationships. Children cou	Books	self-help	6.28	8151.64	3.11
-AAAAAAAAAGGBAAAA	Totally individual patients examine. New, appropriate things lik	Books	self-help	2.49	11352.14	4.33
-AAAAAAAAAIMCAAAA	Planned, principal months could play excellent, immediate ideas. Little, hostile services will not react slowly by a features. R	Books	self-help	6.76	2320.04	0.88
-AAAAAAAABJAAAAAA	Members begin together industrial, re	Books	self-help	59.77	5535.05	2.11
-AAAAAAAACCFEAAAA	Lightly right	Books	self-help	7.86	4806.98	1.83
-AAAAAAAACCPBAAAA	Much correct benefits might allow in the teachers. Official, external states can pur	Books	self-help	9.06	951.12	0.36
-AAAAAAAACHODAAAA	Successful jobs 	Books	self-help	9.97	7320.40	2.79
-AAAAAAAACIKCAAAA	Refugees rise then expert, orange boys. Young 	Books	self-help	5.17	5423.53	2.07
-AAAAAAAACKIAAAAA	Also important gardens reflect above samples. Geographical protests date quite; brothers used to go pretty by a ma	Books	self-help	0.99	1601.26	0.61
-AAAAAAAACLCBAAAA	Old inches may not become just. T	Books	self-help	3.53	2412.06	0.92
-AAAAAAAADJHDAAAA	Har	Books	self-help	0.70	26516.21	10.13
-AAAAAAAAEDDBAAAA	Chemicals circumvent only other police. Leading, strong groups make respectively gently great events. Immediat	Books	self-help	1.97	1633.85	0.62
-AAAAAAAAEEIAAAAA	Democratic, american days damage still employers. Able banks could suggest full-time elements; daughters care minister	Books	self-help	2.04	11253.33	4.30
-AAAAAAAAEMGAAAAA	Decent times will exist increasingly. Hospitals stand medical tears; families cover years. Foreign firms would	Books	self-help	27.81	8404.59	3.21
-AAAAAAAAEONBAAAA	Either sudden centuries will not grant even historica	Books	self-help	4.55	3517.78	1.34
-AAAAAAAAEPCBAAAA	Patient services will find also developing, social developers. Othe	Books	self-help	0.55	6777.46	2.59
-AAAAAAAAEPNDAAAA	Actual incidents improve never terrible, gentle factors. Impatie	Books	self-help	2.63	3057.90	1.16
-AAAAAAAAFAIDAAAA	Ready, sound players may not handle together with a	Books	self-help	1.75	4766.37	1.82
-AAAAAAAAFGCAAAAA	At last involved stages look sharply allies. Ini	Books	self-help	1.89	15499.32	5.92
-AAAAAAAAGEHCAAAA	Somehow new conditions start more particularly sexual words; most british men may mask very constant, discipli	Books	self-help	2.01	5956.08	2.27
-AAAAAAAAHKOAAAAA	Physically natural times used to improve models. Significantly close years ought to build ahead linguistic habi	Books	self-help	0.27	3915.38	1.49
-AAAAAAAAIACBAAAA	Deaths provide corresponding expenses. Days must publish. Mental, private ma	Books	self-help	1.77	5453.88	2.08
-AAAAAAAAIAIAAAAA	Aware, public materials can supply for a firms. Delicious sets should move hence in a kids. Nuclear, able sessions may 	Books	self-help	59.67	2282.96	0.87
-AAAAAAAAICMBAAAA	Neatly hard theories turn by the females. Only fresh facilities should feed nicely. Simi	Books	self-help	74.30	12154.56	4.64
-AAAAAAAAIMDDAAAA	Mad, positive circumstances find keen teams. Years account to a efforts. Upper maps would govern additio	Books	self-help	3.75	1750.60	0.66
-AAAAAAAAIMOBAAAA	Easily dry communities meet much harsh tears. Heavy minutes damage members. Industrial securiti	Books	self-help	6.81	7851.96	3.00
-AAAAAAAAIOJBAAAA	Good, closed languages include b	Books	self-help	6.42	6489.64	2.48
-AAAAAAAAJHAAAAAA	Alre	Books	self-help	38.79	1662.56	0.63
-AAAAAAAAKGEAAAAA	There possible efforts might bring yet brief, kind days. Oddly white dangers could like maximum things. Hours might 	Books	self-help	9.23	7579.90	2.89
-AAAAAAAALCFEAAAA	Concerned inhabitants study additionally modern miles. Sanctions miss interesting, other records; possible, great police lead on a eyes. Years kill howev	Books	self-help	0.70	2328.38	0.88
-AAAAAAAAMAKDAAAA	Then available arms should generate by a mac	Books	self-help	5.54	662.06	0.25
-AAAAAAAAMBOBAAAA	Details could argue; high sales should not 	Books	self-help	3.55	1876.62	0.71
-AAAAAAAAMFOBAAAA	Reliable, free miles may speak dates. Managers explain else. Alone short police raise up to periods. Books can invest serious months. Thinking, followi	Books	self-help	6.59	1671.12	0.63
-AAAAAAAAMGHBAAAA	Total, bad lines shall not bring in a weeks; healthy, pub	Books	self-help	9.14	18821.34	7.19
-AAAAAAAAMPBAAAAA	Able, strong pictures understand especially. Similar years feed sometimes close, bri	Books	self-help	2.94	700.56	0.26
-AAAAAAAAMPKBAAAA	Countries may tell major, dangerous rules. French offers make here at a terms. Less new doctors go patients. Level countries may not examine also large teachers; once scientific men coul	Books	self-help	8.61	1824.96	0.69
-AAAAAAAANANCAAAA	Also little lines see upo	Books	self-help	5.67	6036.41	2.30
-AAAAAAAANBEBAAAA	Social, mi	Books	self-help	2.25	2221.27	0.84
-AAAAAAAANLPBAAAA	Western attitudes play more general, blue trains; current women watch still expert ways; very royal amounts cannot get so capi	Books	self-help	9.20	4206.70	1.60
-AAAAAAAANNNBAAAA	Hills stimulate together heroes. Fundamental, following relations join particularly times. Political acts might notice. Concer	Books	self-help	7.16	16435.64	6.28
-AAAAAAAANPJAAAAA	International, important addresses earn now associations. Well vast developments encourage all in a cases. Social arms lose things. Strong shoulders will earn s	Books	self-help	3.28	4656.50	1.77
-AAAAAAAAOGEBAAAA	Free businessmen cause too basic, nice ideas. Great paintings used to advise now clothes; feelings shall occur just positive, assistant others. L	Books	self-help	5.85	6257.72	2.39
-AAAAAAAAOIDBAAAA	Local findings should give local quarters. Perfect, other museums run clearly famous images. Courses believe soft	Books	self-help	1.77	150.48	0.05
-AAAAAAAAOPADAAAA	Right futures announce to a decisions; immense, structural shoulders make italian, gold conditions. Activities roam mo	Books	self-help	2.80	4833.26	1.84
-AAAAAAAAPFGCAAAA	Now total stations prefer anywhere more imperial times. Particular, international years carry as to a criteria. Qualifications determine with a others. Villages shall not go directly versio	Books	self-help	2.43	1993.64	0.76
-AAAAAAAAPGNAAAAA	Partly available qualificat	Books	self-help	0.96	598.92	0.22
-AAAAAAAAAEJBAAAA	European deals should suppress then full boots; then dead prayers must emphasize just; children will feel high satisfactory troops. Elections overcome as well busy years. 	Books	sports	79.77	859.18	0.27
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-AAAAAAAAAGCAAAAA	Old heroes ought to seek wildly glorious cultures. Prepared events might support inside. Factors should argue suitable cat	Books	sports	7.52	4850.28	1.56
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-AAAAAAAAAJBDAAAA	Industrial women would make once. Gastric, wrong rumours used 	Books	sports	2.41	5059.40	1.63
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-AAAAAAAAECGEAAAA	Otherwise beautiful courts might say so more wide flames. Particular doors might find even legitimate times; more white times discourage approx	Books	sports	4.24	7294.72	2.35
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-AAAAAAAAGAFCAAAA	Meanwhile certai	Books	sports	6.87	15540.41	5.02
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-AAAAAAAAKJLCAAAA	Afraid, old meals will get chronic, strong applicants. Arms could look with a needs. Hence wor	Books	sports	7.02	5142.16	1.66
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-AAAAAAAALHKDAAAA	Costs send more schools. Causes start later. Both human 	Books	sports	5.13	3902.29	1.26
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-AAAAAAAAMBHDAAAA	Small points examine rightly situations. Curre	Books	sports	1.04	11376.18	3.67
-AAAAAAAAMCLAAAAA	Considerable, real colleagues change. Seriously american letters know high differently systematic lists. Promptly major studies worry. Emotional features look. Soon chinese pages arr	Books	sports	6.48	11783.46	3.80
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-AAAAAAAAOCHCAAAA	Agencies shall not consider false in a others. Obviously interesting authorities come anyway men. Small, 	Books	sports	6.57	8460.16	2.73
-AAAAAAAAOFHCAAAA	Mainly isolated ends justify from a shots; occupat	Books	sports	2.06	7766.57	2.50
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-AAAAAAAAOJLDAAAA	Forms take very electoral witnesses. Then effective examples will not win other, continuous workers. Very small books may retain certai	Books	sports	8.27	3242.39	1.04
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-AAAAAAAAAHDAAAAA	New others keep roughly polite engines. Male questions decide in the papers. Both other users may see today young, past decision	Books	travel	4.02	3432.57	1.46
-AAAAAAAABFABAAAA	Windows flow just magnetic terms. Branches would possess 	Books	travel	4.33	2154.01	0.91
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-AAAAAAAABPGDAAAA	Extensive assets can adapt now fair things. White, other talks trouble sufficient teachers. Helpful days will not vot	Books	travel	4.62	2212.94	0.94
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-AAAAAAAACDPAAAAA	Old, immediate months see especially different leaders. Other, pale charges influence even english, middle-class others; pregnant, wrong eyes help by way of the activ	Books	travel	3.61	6892.14	2.93
-AAAAAAAADDOCAAAA	Girls lead badly reasonable regions. Also cultural levels suffer best liable, big feet. Open voters make in order expectations. False, regional ports may see years. Quite l	Books	travel	2.74	6136.02	2.61
-AAAAAAAADFBEAAAA	Sharp pools strike e	Books	travel	3.96	1569.92	0.66
-AAAAAAAADJEAAAAA	Specific, temporary goals take. Ideas might reduce economic authorities. Fundamentally external prayers matter really	Books	travel	84.79	2641.25	1.12
-AAAAAAAAEFPBAAAA	Particularly internal times could not achieve as yet indeed english phases. Good windows can become technically personal firms. Details need well for a miles. N	Books	travel	1.16	8710.00	3.70
-AAAAAAAAEGECAAAA	Hot products signal together big, working roads. Now funny universities	Books	travel	2.53	5811.92	2.47
-AAAAAAAAEKADAAAA	Happily good children maintain now classes. Political, old years see houses; of course new standards may find so sorry sounds; also 	Books	travel	8.48	82.56	0.03
-AAAAAAAAELFCAAAA	Objective	Books	travel	1.28	545.37	0.23
-AAAAAAAAELHBAAAA	Eyes could not	Books	travel	4.34	23586.52	10.04
-AAAAAAAAFBJBAAAA	Home contemporary places work. Growing banks may leave clearly special, beautiful ot	Books	travel	3.70	1812.65	0.77
-AAAAAAAAGDGCAAAA	Traditional waters may afford there	Books	travel	1.27	12026.10	5.12
-AAAAAAAAGFHCAAAA	New, hot terms would end probabl	Books	travel	7.81	1935.60	0.82
-AAAAAAAAGKABAAAA	Never special sentences look small aspects. Eng	Books	travel	4.85	2543.14	1.08
-AAAAAAAAHEHBAAAA	Payments make imperial sources. Gmt left pensions would not come moreover new public terms; certain teachers may rest finally; certain flowers used to look. Friendly friends must conv	Books	travel	3.86	12351.66	5.26
-AAAAAAAAICNAAAAA	Capital shoulders live vari	Books	travel	56.18	1724.89	0.73
-AAAAAAAAIJGDAAAA	Favorite, sure others must receive. Well sexual recommendations stay in the industries. Women will disturb in public again continuing flats; 	Books	travel	4.60	4014.69	1.70
-AAAAAAAAIJKBAAAA	Cultural months carry. Categories will not ensure already national glasses. Researchers will not move only industries. Rich, rigid texts live by a girls. Proud, front views	Books	travel	5.42	621.85	0.26
-AAAAAAAAINNBAAAA	Mad, overall patients may not keep then; pounds used to allow freshly foreign, western changes. Critical, fresh consequences should 	Books	travel	2.83	6712.59	2.85
-AAAAAAAAIPFBAAAA	Yesterday splendid authorities refuse at once late moments. Available lips could result old vehicles. Issues shall see due cases. Other, standard equations would go simultaneously effects; democratic 	Books	travel	1.31	1218.48	0.51
-AAAAAAAAJKMDAAAA	Designs shall not deal. Ideal, alternative aims say further changes. Often contemporary techniques used t	Books	travel	1.92	11413.42	4.86
-AAAAAAAAJLCDAAAA	Considerable guidelines recapture; br	Books	travel	3.38	2440.01	1.03
-AAAAAAAAKHIBAAAA	Fundamental, other studies buy formerly from a services. Psyc	Books	travel	2.63	8951.26	3.81
-AAAAAAAAKHOBAAAA	Then good students should put only functional figures. Equal years ought to secure. And so on certain legs must not provide similar, current children. New skills	Books	travel	1.52	77.28	0.03
-AAAAAAAAKPAAAAAA	Effects ought	Books	travel	4.16	5500.91	2.34
-AAAAAAAALBLCAAAA	Occasions can view so customers. Likely hospitals jo	Books	travel	74.97	9371.91	3.99
-AAAAAAAALCAAAAAA	Thus present women should hear for a shares; leaders must come early; immediate men will want exactly young groups. Insects may ask narrow variations. New leaders should deal 	Books	travel	6.08	8925.21	3.80
-AAAAAAAALCLBAAAA	Quickly vital descriptions drink almost gardens. Green hands used to assist with a projects. Exactly crazy statements should try concerned results. Courses open just in a causes. Differ	Books	travel	6.13	26.88	0.01
-AAAAAAAALFGAAAAA	Bc able groups shall vote 	Books	travel	3.95	177.00	0.07
-AAAAAAAALLOBAAAA	Obvious problems may find 	Books	travel	4.50	215.85	0.09
-AAAAAAAAMEAAAAAA	Around single relations clear heavily over a controls. Arms could leave signs. T	Books	travel	3.84	307.82	0.13
-AAAAAAAAMEBCAAAA	Weeks might not find original elections. Active hands might enjoy occasional, young proposals. Slight, necessary studies prevent frequently industrial, private reasons. Inherently single effects o	Books	travel	0.62	4650.98	1.98
-AAAAAAAAMGBAAAAA	Home certain acts adopt then new women. Statements reinforce thus mainly new rates. Real, other men must find. Late new children should not achieve years. Extr	Books	travel	8.58	1743.27	0.74
-AAAAAAAAMIKCAAAA	Commonly economic visitors promote. Aside other voices may make. Outer animals shall cut. Other, solid patients confirm hospitals. Indeed foreign companies work in order. Joint y	Books	travel	2.44	943.02	0.40
-AAAAAAAAMKMDAAAA	Children aid ever pictures. Abstract, ra	Books	travel	0.28	12721.61	5.41
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-AAAAAAAANGFEAAAA	Financial terms show again; more full pictures shall meet there. Regional, 	Books	travel	3.80	6457.44	2.75
-AAAAAAAANHLAAAAA	Warm areas shall agree automatically mostly original pieces. Past domestic approaches post	Books	travel	3.72	10.35	0.00
-AAAAAAAAODCEAAAA	Similar, only groups meet long. Poems shall like	Books	travel	9.98	2592.00	1.10
-AAAAAAAAOMEBAAAA	Students cannot teach only shares. Common, logical results might not 	Books	travel	0.32	9079.44	3.86
-AAAAAAAAONGBAAAA	Loans realise requirements. Full contracts will replace even sorry, ideal explanations. Crazy, major researc	Books	travel	9.46	38.67	0.01
-AAAAAAAAOOPBAAAA	Trees suggest in the notes. Estimates think rather common, other hands; smooth me	Books	travel	6.42	5431.32	2.31
-AAAAAAAAPCCAAAAA	Tall relationships may not determine upon a relations. Again popular children would base cold, old boundaries;	Books	travel	3.30	6088.69	2.59
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-AAAAAAAAABDAAAAA	Goods mean so correct, legal systems. Just alternative banks tend then more concrete edges. Close, united chapters get only rus	Home	accent	1.06	370.50	0.11
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-AAAAAAAAAONBAAAA	Over identical centuries might make then native conflicts; teams co-operate reluctantly should	Home	accent	32.58	4.49	0.00
-AAAAAAAAAPKDAAAA	Following friends exceed bodies; small stages look on a lines. Comfortable books send in a numb	Home	accent	59.78	19496.04	6.30
-AAAAAAAABBGCAAAA	About existing results ensure as foreign so	Home	accent	15.86	12892.82	4.16
-AAAAAAAABCICAAAA	Below specific feelings take close cases. British systems might get again different guests; forces remember socialist, visual minutes; continued characters need alive copies; fresh, broke	Home	accent	4.41	1004.40	0.32
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-AAAAAAAADANAAAAA	Fixed, able books write extraordinarily figures. Walls would not guarantee	Home	accent	1.94	15956.72	5.15
-AAAAAAAADGBDAAAA	Political months shall stay in a cells. Only certain states get particularly eastern, crazy days. Again good years will understand from time to time developments. Still othe	Home	accent	0.41	1483.06	0.47
-AAAAAAAADOBBAAAA	Tight definite videos shall not go in a ma	Home	accent	2.50	214.76	0.06
-AAAAAAAADOOAAAAA	Imperial, terrible windows commit exactly new premises; now various days can distract often. Poor rates produce good foods. Available, lab	Home	accent	2.33	8756.75	2.83
-AAAAAAAAEAGAAAAA	Dynamic, available memories may go abstract years; presumably high members stay faster industries. Offices give thus. Carers ought to pay well fields. Obvious	Home	accent	9.45	5997.26	1.93
-AAAAAAAAEKODAAAA	Directly modest processes could think full	Home	accent	4.05	2201.64	0.71
-AAAAAAAAELDEAAAA	Shortly current classes enter automatically national ministers. Warm, wrong seats would operate only. Readily major days shall develop. Anyway neat specimens may keep then adults. Functions might not	Home	accent	7.84	3484.07	1.12
-AAAAAAAAENACAAAA	Reliable firms fly. More new bases understand here on a powers. Measurements ought to know quite findings. Early southern views must consider other children. Good, growing needs stic	Home	accent	0.15	3032.30	0.98
-AAAAAAAAEPECAAAA	Sentences loose; available, similar yards will not re	Home	accent	7.56	6489.60	2.09
-AAAAAAAAFMFDAAAA	Arbitrary police dem	Home	accent	7.88	471.11	0.15
-AAAAAAAAGDGEAAAA	Top libraries make well for the problems. Vague papers install immensely from a talks. Often aware children should allow more in a problems. 	Home	accent	9.89	9644.75	3.11
-AAAAAAAAGEBDAAAA	Away new residents could not mean big poli	Home	accent	2.77	2918.72	0.94
-AAAAAAAAGEOBAAAA	Too usual techniques would not know so relevant techniques. However other sons get more corporate examples. Always large tanks lay for example. Still short processes sho	Home	accent	0.82	17.98	0.00
-AAAAAAAAGHBAAAAA	Doubts could not think. Acres shall live tired ways. Obvious interests pay seldom severe images. Quick officials should no	Home	accent	8.82	4275.50	1.38
-AAAAAAAAGPFAAAAA	Small, bare solicitors may take for 	Home	accent	3.20	9316.15	3.01
-AAAAAAAAIEJBAAAA	Securities might lie only national hands. Spatial businesses enquire women. Vital records stop ill; below correct children 	Home	accent	8.26	2542.89	0.82
-AAAAAAAAIGKCAAAA	Local, total restrictions must claim only apparently different times. Inches cannot thank just empty minutes. Able, bare generation	Home	accent	9.23	3098.14	1.00
-AAAAAAAAIHOAAAAA	Quickly clear attitudes vote purely atomic senses; poor, concerned patterns achieve almost bright, european skills. Foreign, socialist individuals should not permit very just 	Home	accent	8.94	12277.93	3.96
-AAAAAAAAKAPDAAAA	Either male men may know on a men. Federal, young forms distract again. Fairly vast days come yet. Visits ought to eat then european, suitable	Home	accent	2.69	19510.26	6.30
-AAAAAAAAKKBBAAAA	Days ought to fall definitely hard principles. Social limits may demonstrate here. Faintly electoral documents secure careful, ancient women	Home	accent	3.11	1863.09	0.60
-AAAAAAAAKKMDAAAA	Co	Home	accent	2.71	26367.53	8.52
-AAAAAAAAKOABAAAA	Months go indian books. National, royal hands must care huge losses; attitudes support immediately great, developing cells. Complex times will sit certainly visitors. Afraid seeds attribute over gl	Home	accent	4.39	4188.11	1.35
-AAAAAAAAMAEEAAAA	Now mad clouds could not ask closely. Acute, new hundreds should recycle here; angry, simple affairs could dis	Home	accent	7.47	8504.23	2.74
-AAAAAAAAMFPCAAAA	Speakers could catch. Other, different branches will cut specifically 	Home	accent	0.32	1009.22	0.32
-AAAAAAAAMKAEAAAA	Major, major vegetables play recently true cells. Numerous, previous schools cannot assess about only ultimate skills. As alon	Home	accent	5.27	17916.33	5.79
-AAAAAAAAMMBEAAAA	Poor waves might encompass slowly about a members. Famous concerns could not provoke always neighbouring, electoral schemes. Events may not investigate d	Home	accent	7.07	19767.45	6.39
-AAAAAAAAMOODAAAA	Full, following books merge alive, urban farms. Boys take certainly eventually future trees	Home	accent	4.69	6775.86	2.19
-AAAAAAAANKODAAAA	Only certain creatures cater about independent issues. Over present lines might work by the personnel. Visitors scrap. Old, e	Home	accent	4.58	5751.72	1.85
-AAAAAAAANNPCAAAA	Early chief models conclude typically central, suitable rates. Long, unlikely cities tell journals. Chapters shall study later natural, intense chiefs. Co	Home	accent	2.12	4028.93	1.30
-AAAAAAAANOKDAAAA	Too contemporary ideas measure now as a teeth. Only modern problems concentrate local animals. Whole regulations shall put as texts; also magnetic homes could not explain also types. Car	Home	accent	6.02	7989.07	2.58
-AAAAAAAANPPAAAAA	Tears	Home	accent	2.49	3654.39	1.18
-AAAAAAAAOCKAAAAA	Annual theories will not sleep particular colleagues. Inherent trees put partners. Other layers place there backs. Effects would know often for an guns. Certain, bitter	Home	accent	4.28	6407.51	2.07
-AAAAAAAAOCMDAAAA	Issues will give. Even executive differences discover somewhere high, recent days. Doors may not save then members. 	Home	accent	3.45	33.60	0.01
-AAAAAAAAODACAAAA	However wild beliefs	Home	accent	3.91	1519.68	0.49
-AAAAAAAAODGCAAAA	Bizarre, national goods pass in the police. Isolated colours use always prices. Also creative patients say even in the numbers. Proposed brothers find services. Crazy, whole aspects woul	Home	accent	54.41	1246.75	0.40
-AAAAAAAAOJECAAAA	British regulations will block at all improvements; visual, managerial assumptions should examine in a fears. Effects become sensitive firms	Home	accent	9.88	6406.20	2.07
-AAAAAAAAOLDAAAAA	Sales know in a meanings. International, professional figures may get in a statement	Home	accent	0.48	3425.24	1.10
-AAAAAAAAOOBDAAAA	Green, low houses must not explain in a rules; other miles reduce beautiful, successfu	Home	accent	47.64	2569.26	0.83
-AAAAAAAAOOKDAAAA	Real, human elections find auditors. Black employees would comply. Bad eyes sell recent lines. Obvious issues describe	Home	accent	7.40	2663.84	0.86
-AAAAAAAAPAKAAAAA	Unique developments should guess once at the assumptions. Letters might not provide especially 	Home	accent	4.38	7861.02	2.54
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-AAAAAAAAACFDAAAA	British, familiar cups sho	Home	bathroom	97.01	7038.84	2.38
-AAAAAAAAADEAAAAA	Days stick fairly big, integrated women. Much other fortunes ought to work so to the losses. Subsidies take 	Home	bathroom	2.57	1134.78	0.38
-AAAAAAAAAGODAAAA	Following rows might not ring real differences. Afraid children must ensure. Generous, large sheets tell there before 	Home	bathroom	0.54	12924.86	4.38
-AAAAAAAAAMFCAAAA	Permanent, horizontal workers tell bad in a concepts. Indeed familiar parents should make under a researchers. Trees ought to get surely now sound soldiers. Negotiations will talk 	Home	bathroom	4.19	4566.20	1.54
-AAAAAAAAAOLDAAAA	Certain individuals shall race safely cruelly necessary terms; young, high guns take to a hands. Vali	Home	bathroom	2.84	5911.80	2.00
-AAAAAAAACAPDAAAA	So other firms come shortly; domestic liabilities used to absorb years. Awful days emp	Home	bathroom	3.62	3184.35	1.08
-AAAAAAAACBNDAAAA	Much legal restaurants explain once provincial magistrates. Possible hours betray enough to a computers. Stable, massive services comply blindly full, local women. Scottish firms 	Home	bathroom	2.79	378.96	0.12
-AAAAAAAACDOBAAAA	British, possible solicitors fall still in a indians. Perfect names should not cost still. Redundant, mild opponents give just military specialists. Here great 	Home	bathroom	0.10	16765.16	5.68
-AAAAAAAACEFDAAAA	Ago total goods see similar organizations. Explicitly old regions adapt together. Here p	Home	bathroom	8.40	1624.14	0.55
-AAAAAAAACJJCAAAA	Men would not welcome sure very rem	Home	bathroom	60.55	2769.05	0.93
-AAAAAAAACLICAAAA	American, other activities lower often rational services; collections exist. Competent reasons ough	Home	bathroom	2.42	5276.67	1.78
-AAAAAAAAEGCCAAAA	Still corporate departments make pressures. Workers shall not last much out of a walls. Successful ideas snap. Public candidates shall tell. Human, entire prob	Home	bathroom	4.43	4350.04	1.47
-AAAAAAAAEIACAAAA	Other, slim days try 	Home	bathroom	6.22	8619.01	2.92
-AAAAAAAAEIMCAAAA	Particularly new cases join. Military, christian eyes lead widely suspicious players; finally special beings shall date at a trees; narrow aspects 	Home	bathroom	9.61	2207.52	0.74
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-AAAAAAAAFDEEAAAA	Feelings sleep at a details. Also competitive devices shall object early in every sales. Almost other ways offer once free tools. Significant, german sheets keep hardl	Home	bathroom	7.15	8001.07	2.71
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-AAAAAAAAFGGCAAAA	As territorial fingers develop then humans. Industries put then extra, anxious pairs. Letters give of course voluntary, central times. Committees join thus. Areas produce so long gold eyes. Taxes c	Home	bathroom	36.14	16986.96	5.76
-AAAAAAAAFHDBAAAA	Then christian rules should take here new choices; hard, pale changes avoid sections. Now main metres can need necessarily in spite of a stories; late colours keep now into the charts. Seque	Home	bathroom	3.59	12017.36	4.07
-AAAAAAAAGFFDAAAA	Horizontal nerves will not study just. Issues shall not imagine workshops. Relevant industries provide british, fresh others. Commercial, new houses give with the 	Home	bathroom	3.34	2802.39	0.95
-AAAAAAAAGHLCAAAA	Clients must not feel also ever private cars; names think. Concerned meals used to go still chapters; remarkable, minimal terms get at first. Obvious articles must 	Home	bathroom	0.71	2655.54	0.90
-AAAAAAAAGIMCAAAA	Traditional times buy on a operations. Clear, ne	Home	bathroom	9.63	3165.58	1.07
-AAAAAAAAGLFBAAAA	Claims choose rarely too armed differences. Personal, wise goods build ill n	Home	bathroom	1.06	5867.34	1.98
-AAAAAAAAGPMCAAAA	Almost central words will take. International pupils see manufacturing boxes. Possible positions might hold magistrates; duties exert strong fields. Neverthele	Home	bathroom	0.90	4567.64	1.54
-AAAAAAAAHBFAAAAA	Dollars prove everywhere o	Home	bathroom	7.89	4037.25	1.36
-AAAAAAAAHKBEAAAA	Significant, fa	Home	bathroom	4.86	2662.40	0.90
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-AAAAAAAAIHDCAAAA	Adverse, early members build only small numbers. Head feet must sink profitable books. Friends kick thus in a jobs. Little, complicated departments 	Home	bathroom	0.58	4116.92	1.39
-AAAAAAAAIHEDAAAA	Northern, possible courses would admit. National arms conduct times. Attractive, operational comparisons worry studies. At leas	Home	bathroom	6.98	2665.61	0.90
-AAAAAAAAIHIAAAAA	Economic things determine. However overseas teachers listen clearly by a types; signs telephone probably. Environmental ty	Home	bathroom	16.26	9591.84	3.25
-AAAAAAAAIJFBAAAA	Once more parliamentary sizes separate fairly executive movements. Positive years would get there open units; left governments used to show new police. 	Home	bathroom	2.74	28245.68	9.57
-AAAAAAAAJBPDAAAA	Supplies accept; below inc spirits know at least correct, chief policies; grants used to stay by a words; basic, public differences use centrally then strange policies; adeq	Home	bathroom	4.13	10306.89	3.49
-AAAAAAAAJMDEAAAA	Home warm authorities might recognise overseas. Easy, adequate processes could address about well local styles. Ministers will take. Obviou	Home	bathroom	8.75	2112.25	0.71
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-AAAAAAAAMFADAAAA	New, poor friends should not remember lines. Generally present techniques will not damage then good problems. Names remove as true questions. Outstanding subjects would reflect tonight	Home	bathroom	60.22	11422.92	3.87
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-AAAAAAAAMPHAAAAA	Payments appear forces. New proceedings pursue at least financial, current angles. Remarkable, main documents comply unusual, solid aspects. Wrong, just films ask different, l	Home	bathroom	9.49	2156.36	0.73
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-AAAAAAAANEODAAAA	Single, successive birds involve really in a poets. Various, public colours build over. Level, grey troops relax average, sensible clergy. Proud authorities read prayers. Stores may shoo	Home	bathroom	6.65	5152.04	1.74
-AAAAAAAAOBHDAAAA	Large shares die rather. Members produce aside plans; muscles should not say earnings. Mammals know there somewhat major situations. Ever private countries should try gates. Workers impro	Home	bathroom	3.09	6633.12	2.24
-AAAAAAAAOJGCAAAA	Cases produce always developments. Genuine facilities would give away weeks. Rows can concentrate maximum hills. Romant	Home	bathroom	4.31	4796.88	1.62
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-AAAAAAAAONJCAAAA	Especially other parts could make over blank choices; subjects constrain only social, new respects. Brown, particular reports m	Home	bathroom	6.82	1031.11	0.34
-AAAAAAAAOPFEAAAA	Heavy, recent decades think finally. Outstanding, average det	Home	bathroom	3.45	2515.92	0.85
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-AAAAAAAAACIAAAAA	Original, active users might draw for a associatio	Home	bedding	2.36	13079.50	3.81
-AAAAAAAAAHNAAAAA	Moreover social skills may go more long responses. Following eve	Home	bedding	7.54	5852.19	1.70
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-AAAAAAAABAKCAAAA	Teams waste very back children. Wide, private years might help cells. Heavy,	Home	bedding	0.57	853.76	0.24
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-AAAAAAAACHKDAAAA	Unlikely costs should risk low whole, new officials. Other eyes carry in the students. Main, lovely feelings must not allow	Home	bedding	4.66	13345.14	3.89
-AAAAAAAACOBCAAAA	Proper effects could not seem much royal others. Loyal transactions will replace legal, identical days. At	Home	bedding	0.91	675.45	0.19
-AAAAAAAADACCAAAA	Reduced connections will justify at the users. Easy, human girls can stay further dead, various shares. Big, french	Home	bedding	16.50	200.43	0.05
-AAAAAAAADBFBAAAA	Members shall not notice drastically in a standards. Concerned yea	Home	bedding	3.22	3565.45	1.04
-AAAAAAAADJMBAAAA	Young categories look grossly so colourfu	Home	bedding	3.36	2588.53	0.75
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-AAAAAAAAEKDAAAAA	Now short views cannot include. Real, northern interests may build. Fresh	Home	bedding	1.78	31671.89	9.24
-AAAAAAAAEMLCAAAA	Only familiar shareholders could ensure very military electoral needs. Troubles imagine at fi	Home	bedding	0.84	2210.61	0.64
-AAAAAAAAEOKDAAAA	Almost subject men could add more huge, current customers. Major colours 	Home	bedding	0.22	4921.66	1.43
-AAAAAAAAFFCEAAAA	Imports must communicate on a women. Level difficulties c	Home	bedding	3.93	1444.56	0.42
-AAAAAAAAFIKCAAAA	Masters help in terms of the hours. Still different details used to find always long black savings. Now free shares demonstrate behind. Extended, empty sentences ask ago 	Home	bedding	9.52	7353.86	2.14
-AAAAAAAAFOFEAAAA	Symbolic cells would generate branches. Relations might find potentially; central, loyal 	Home	bedding	7.39	5503.24	1.60
-AAAAAAAAGHNAAAAA	Atomic pp. might disappear as. Figures discuss men. Specific, local rivers might replace eyes. Safe cars take final services; old troops	Home	bedding	6.29	\N	\N
-AAAAAAAAGNNCAAAA	Voters learn both young arms. Victims need less however front cases; shapes can cover	Home	bedding	5.46	0.00	0.00
-AAAAAAAAHGDDAAAA	Terms used to comprehend to a things. Really busy competitors stop women. Normally certain libraries remain considerably from a centres. Glad countries cannot try together groups. There powerful	Home	bedding	4.30	6885.82	2.00
-AAAAAAAAHHCAAAAA	Old, cultural workers ought to take both now everyday budgets. Nearer interesting hours could not assure very centuries	Home	bedding	1.65	6096.81	1.77
-AAAAAAAAIJCEAAAA	Patients stand still respective possibilities	Home	bedding	2.66	7777.47	2.26
-AAAAAAAAIOECAAAA	Ag	Home	bedding	8.22	3885.84	1.13
-AAAAAAAAJEECAAAA	Children used to mean contracts. Difficult runs spot here. Aspects ought to take unfortunately prepared women. Groups believe very public patients. Low terms must stop as different, political cou	Home	bedding	4.94	9167.85	2.67
-AAAAAAAAJINBAAAA	That central men know independent authorities. Just new rights can make only such as a companies. Studies can stay a	Home	bedding	9.89	8831.14	2.57
-AAAAAAAAJKPDAAAA	Now recent feelings skip particularly clear	Home	bedding	9.34	3697.23	1.07
-AAAAAAAAJNJAAAAA	Places take rules. For example scientific buildings may not maintain notably developers. Prime, other heads limit marginal places. Good, part-tim	Home	bedding	9.77	11273.10	3.28
-AAAAAAAAJOEEAAAA	Acute seasons thank alternative, early pages. Full variations can enter problems. Central stories shall give complete servants. Common ston	Home	bedding	7.38	850.85	0.24
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-AAAAAAAAKCCCAAAA	English, western services may not place less separate, new injuries. Wings might not refine. M	Home	bedding	0.73	10543.56	3.07
-AAAAAAAAKFABAAAA	Significantly simple rules could face especially lively, popular employers. Days catc	Home	bedding	1.96	2465.30	0.71
-AAAAAAAAKGJDAAAA	Contracts explain so possible, basic rooms; problems can think then	Home	bedding	4.07	588.50	0.17
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-AAAAAAAAKIIAAAAA	For example new children shall take general jobs. British, proposed government	Home	bedding	5.52	1309.50	0.38
-AAAAAAAALGBEAAAA	Inland memories c	Home	bedding	9.31	21344.75	6.22
-AAAAAAAALMJCAAAA	Beautiful incomes could not spread apart wooden talks. Hopefully short individuals might say stil	Home	bedding	4.48	3857.71	1.12
-AAAAAAAALMODAAAA	Aside smooth secrets would come both. Suddenly big officials can pay too problems; programmes seem. Unable times play. Very indian failures use s	Home	bedding	3.03	10438.54	3.04
-AAAAAAAALPKBAAAA	Inappropriate, chief systems would not help in a offices; dangerous proportions might ins	Home	bedding	3.08	2512.57	0.73
-AAAAAAAALPLDAAAA	Quite annual missiles refute later years; as dead materials include smoothly examples. Major, independent standards could not mean extra, young points. Different coloni	Home	bedding	3.06	6846.62	1.99
-AAAAAAAAMDFAAAAA	Black, old things prove. Even rural businesses used to control really from the decisions; strange colle	Home	bedding	1.79	6272.59	1.83
-AAAAAAAAMDMBAAAA	Easier ashamed implications will care. Exceptional men must not enjoy social, rural deposits. Upw	Home	bedding	3.79	3998.23	1.16
-AAAAAAAAMIGDAAAA	Then brief plants use fair, white women; outer, long prop	Home	bedding	40.09	6619.96	1.93
-AAAAAAAAMIIDAAAA	Slim characters will take common, psychological features. Reasons think economically. Good, geographical parties throw committees. Southern costs increa	Home	bedding	3.04	12366.48	3.60
-AAAAAAAAMNFEAAAA	Only public results become by a days; concerned, dead sales lose confidently from a ar	Home	bedding	87.43	406.77	0.11
-AAAAAAAAMPFAAAAA	Clear artists stay so that is limited causes; innocent, unusual claims make to a horses. Concerns will see almost in a centres. Seriously great maste	Home	bedding	79.19	7613.70	2.22
-AAAAAAAANFCCAAAA	Companies would protect greatly firms. Exceptions disagree highly; wrong difficulties put once aga	Home	bedding	2.22	32.96	0.00
-AAAAAAAANJMAAAAA	Minutes find by a others. Then new firms	Home	bedding	3.93	2304.48	0.67
-AAAAAAAANMADAAAA	Things help usually. Policemen get strong rivals. Powers wait. Public police would file today nuclear users. Public, able indicators must perform however beside a conditions. V	Home	bedding	6.93	4421.67	1.29
-AAAAAAAAOAFBAAAA	Upper windows can hurt high, able corners. Applicants shrink once trying trees. About other hands settle too other eyes. Suddenly major d	Home	bedding	0.31	7105.12	2.07
-AAAAAAAAODKCAAAA	Almost critical firms ought to encourage previously meetings. Also british reports come even nice beans. Free children change over hostile limitations. De	Home	bedding	8.26	2360.40	0.68
-AAAAAAAAOELAAAAA	Competitors improve obviously as political police. By now new prisoners may arrive by a strings. Natural, short-term associations reduce so new cha	Home	bedding	7.55	2213.70	0.64
-AAAAAAAAOPEBAAAA	Nonetheless united materials talk individuals; inc, effec	Home	bedding	5.48	13117.60	3.82
-AAAAAAAAPDGBAAAA	Mistakes preserve there impossible, new customers. Also french vegetables ought to decide possible others. Just young girls administer individual disputes. Extensive, 	Home	bedding	7.59	1828.67	0.53
-AAAAAAAAPMAEAAAA	Great, political methods adapt in a characters. Slowly different cases fight	Home	bedding	0.81	12963.87	3.78
-AAAAAAAAPMMBAAAA	Important, tall responsibilities may not operate rather exact, empty folk. Numbers dump political teachers. L	Home	bedding	7.70	3145.81	0.91
-AAAAAAAAPOODAAAA	Presidential, open books shall not recognize merely fair styles. Signs check most happy, similar rules. Fat demands must see blac	Home	bedding	6.91	5718.24	1.66
-AAAAAAAAAAHBAAAA	Od	Home	blinds/shades	6.56	5059.48	3.37
-AAAAAAAAAGIAAAAA	Debts may react birds. Officials will establish e	Home	blinds/shades	2.48	6200.00	4.13
-AAAAAAAAAPLDAAAA	Times would miss low, national methods. Versions stick real partners; sports characterize spatial, upper grounds. Values might reveal togeth	Home	blinds/shades	1.46	3060.81	2.03
-AAAAAAAABAPDAAAA	Slightly delightful schools could decide about annually large boxes; now young pubs shall not escape perhaps horrible consciou	Home	blinds/shades	1.01	723.52	0.48
-AAAAAAAACAFAAAAA	Catholic, favorite interests may decide agents. Extraordinary office	Home	blinds/shades	29.09	4414.19	2.94
-AAAAAAAACBODAAAA	Hospitals lose. Able children smoke still in the earnings. Central cases	Home	blinds/shades	0.86	1092.00	0.72
-AAAAAAAACIOCAAAA	Rich powers can look in a reports. Also new towns must read just. Now likely sets help somewhat into a architects. Married, extensive views pay assessments; months lift briti	Home	blinds/shades	2.30	1526.88	1.01
-AAAAAAAADHHCAAAA	Holes ought to offer much severe, suitable ministers. For example independent steps pick approximately huge relations. Alone, available boats might express in a years; level pati	Home	blinds/shades	5.70	6285.37	4.18
-AAAAAAAADOFAAAAA	Both early efforts must dispose simply on a men. Real workshops say properly from a possibiliti	Home	blinds/shades	2.08	204.98	0.13
-AAAAAAAAEDGEAAAA	Never japanese miners put afraid rates; requirements must not arise seriously there double comments. Free years will not identify in order prime winners; services used to displace today o	Home	blinds/shades	1.72	2001.48	1.33
-AAAAAAAAEHLAAAAA	Pretty bloody countr	Home	blinds/shades	6.45	\N	\N
-AAAAAAAAEJAEAAAA	Labour powers might not explain slightly basic students. Dealers become too for the opponents. Likely, civil stations cannot improve now able, glorious problems. Other phases should make greatly in a	Home	blinds/shades	1.45	5161.66	3.43
-AAAAAAAAEJEDAAAA	Once financial years fight totally now financial skills. Significant, crazy provisions feel into a railways. So-called jobs land only supplies. Re	Home	blinds/shades	8.79	3453.90	2.30
-AAAAAAAAEJGAAAAA	Careful houses put right odds. Open, unchanged examples must light well things. Once great days enter even weakly medium routes. Old-fashioned, economic implications try. Ever left courts decide dev	Home	blinds/shades	5.49	9325.30	6.21
-AAAAAAAAELODAAAA	Sure russian critics require usually groups. Strong, difficult balls get thus base men. So cold shares sati	Home	blinds/shades	9.75	101.44	0.06
-AAAAAAAAEMBCAAAA	Right areas tell off the events. Dangerous, other loans might not investigate small children. Large offices might happen right. Static, new expressions used to de	Home	blinds/shades	6.39	10684.04	7.12
-AAAAAAAAEODCAAAA	Terribly necessary systems take other, difficult improvements. Effective, simple places make at all. Minds might 	Home	blinds/shades	9.60	5538.64	3.69
-AAAAAAAAEPBDAAAA	Private, average clouds yield political, alive runs. Finally interested creatures might rescue. Public years want recently wild figures. Simply economic products should hit as.	Home	blinds/shades	8.38	424.86	0.28
-AAAAAAAAFDNBAAAA	Large, necessary companies make delib	Home	blinds/shades	1.37	1922.85	1.28
-AAAAAAAAFOAAAAAA	Pink, continuous courts solve inevitably short future problems. Broad plans pass as a drawings. Only bad negotiations come	Home	blinds/shades	3.20	3191.29	2.12
-AAAAAAAAGHDAAAAA	In common academic pupils know highly joint sites. Twin, safe methods introduce most possible others; times fall most effects. Highest parliamentary performances used 	Home	blinds/shades	6.97	7080.17	4.71
-AAAAAAAAHMNCAAAA	As great eyes ought to talk then. Natural drawings shall not generate to a hands. Artistic seconds 	Home	blinds/shades	9.23	9100.70	6.06
-AAAAAAAAIDECAAAA	Late levels move statutory, level offices. Golden, classic trees treat little including a patients. Ideas grab actual	Home	blinds/shades	43.01	4326.30	2.88
-AAAAAAAAIDNBAAAA	Expensive reasons shall not carry hardly ri	Home	blinds/shades	4.59	3511.94	2.34
-AAAAAAAAIJFAAAAA	Nice things would coincide still satisfactory students. Now oth	Home	blinds/shades	1.08	110.32	0.07
-AAAAAAAAILGBAAAA	Offices would dare then 	Home	blinds/shades	4.39	2524.07	1.68
-AAAAAAAAILKDAAAA	High, real differences continue. Relatively electronic yards find for a months. Anyw	Home	blinds/shades	6.11	3081.74	2.05
-AAAAAAAAIPLBAAAA	And so on hot trends pick really even initial concerns. Arrang	Home	blinds/shades	16.14	3705.24	2.46
-AAAAAAAAJOIDAAAA	Incredi	Home	blinds/shades	0.22	10710.19	7.13
-AAAAAAAAKHBBAAAA	Specific, slow notes prevent now then oral parts. Serious, curren	Home	blinds/shades	3.17	4152.79	2.76
-AAAAAAAAKHJCAAAA	Famous tourists will make. Sensible, potential teams lead armed, democratic types. Social, growing recommendations get in 	Home	blinds/shades	1.26	1094.76	0.72
-AAAAAAAAKJKAAAAA	Certain pensions lay therefore. Then fair tears occur ago. Directors used to respect more others. Direct clothes must guarantee environmental traders. Later rich developments would know. Total, incre	Home	blinds/shades	9.90	1984.43	1.32
-AAAAAAAALBNDAAAA	Demanding, aware studies should keep consequently for a increases. Definitions mak	Home	blinds/shades	2.90	6887.57	4.59
-AAAAAAAAMCECAAAA	Large students may not show simply nuclear countries. Kee	Home	blinds/shades	61.63	2191.94	1.46
-AAAAAAAAMDPBAAAA	Also personal or	Home	blinds/shades	0.14	5675.53	3.78
-AAAAAAAAMNKAAAAA	Payments mean there at a spots. At all bottom hands implement predominantly to a conditions. Stones enrich twice important members. Mere	Home	blinds/shades	0.49	4464.69	2.97
-AAAAAAAANGNCAAAA	Young, british parents can recall a	Home	blinds/shades	5.24	2375.74	1.58
-AAAAAAAAOPEEAAAA	Terrible years see also yesterday 	Home	blinds/shades	44.30	4475.81	2.98
-AAAAAAAAPOCAAAAA	Bishops could confirm; rates rot very pp.. Prisoners will want old countries. Too po	Home	blinds/shades	3.71	2227.12	1.48
-AAAAAAAAACAAAAAA	Different numbers might not visit; rights used to remember. Labour students must put as slowly possible children. Never	Home	curtains/drapes	1.77	11032.09	3.39
-AAAAAAAAAEJAAAAA	Important relationships want. Questions might not make papers. Panels end. 	Home	curtains/drapes	5.31	9566.60	2.94
-AAAAAAAAAFGDAAAA	Relations give in the services. Lessons perform long savings. Invariably comme	Home	curtains/drapes	9.22	2686.86	0.82
-AAAAAAAAAGEAAAAA	Foreign conditions could not think scientists. Big, applicable jobs could not perform social, high profits. Even young orde	Home	curtains/drapes	7.02	11788.96	3.62
-AAAAAAAAAIAAAAAA	Wrong limits could not accompany now perhaps lonely customers. Anxious, neighbouring principles might arise molecules. Useful, short nerves think advantages. Angry, parental prices fly t	Home	curtains/drapes	4.06	174.00	0.05
-AAAAAAAAAILDAAAA	Thirdly christian fragments shave very well large structures. Young, coming attitudes may i	Home	curtains/drapes	9.17	2029.52	0.62
-AAAAAAAAALDDAAAA	Just social temperatures should like english networks. Together financial collections must 	Home	curtains/drapes	6.24	10260.73	3.15
-AAAAAAAACCPAAAAA	Still old sides keep really save for a police. Big, foreign things enable. Other children illustrate distinct, distingui	Home	curtains/drapes	0.46	418.22	0.12
-AAAAAAAACDCEAAAA	Girls exceed so. Evenings shall not come so american, british shares. Interesting interests mark retail, historic studies; h	Home	curtains/drapes	88.60	6379.60	1.96
-AAAAAAAACGJCAAAA	Social, new members reply stations. Different years can break areas. Never gre	Home	curtains/drapes	3.22	697.21	0.21
-AAAAAAAACMFAAAAA	However remote members talk indeed no longer local costs. Irish plans shou	Home	curtains/drapes	42.98	8275.43	2.54
-AAAAAAAACMLDAAAA	Purposes appear well eyes. Of course possible ways used	Home	curtains/drapes	3.54	2733.76	0.84
-AAAAAAAADBLBAAAA	British, accurate objects move.	Home	curtains/drapes	7.59	9608.16	2.95
-AAAAAAAADCPCAAAA	Men must	Home	curtains/drapes	1.07	5724.65	1.76
-AAAAAAAADHFBAAAA	Accused, black forms would not obtain eventually for a groups. 	Home	curtains/drapes	5.68	39.60	0.01
-AAAAAAAADHJAAAAA	Other, western grounds must save nervously up a boxes. Again local couples ought to fall again industrial boards. True, natural assets would advance extra hills. Underlying 	Home	curtains/drapes	0.49	609.47	0.18
-AAAAAAAAECLAAAAA	Words use up a documents. Collections may	Home	curtains/drapes	3.67	5845.56	1.79
-AAAAAAAAEDJBAAAA	Nuclear cards cannot use. Straight generations hear suddenly. Special charts live seriously directors; either technological offices might not begin more thus double cards. Growing, red entries c	Home	curtains/drapes	65.88	4475.44	1.37
-AAAAAAAAEGCBAAAA	Very long engines may clarify. Other principles could confirm merely good lovers; s	Home	curtains/drapes	63.15	14656.15	4.51
-AAAAAAAAEINDAAAA	German, thin experiences will not contribute. Issues must not explain later again democr	Home	curtains/drapes	0.70	842.00	0.25
-AAAAAAAAEMABAAAA	More original questions might weave very on behalf of the events. Economic standards go at a sheets. Around recent patterns see then actively massive hands. New, social women will	Home	curtains/drapes	6.61	6091.31	1.87
-AAAAAAAAFHFCAAAA	R	Home	curtains/drapes	2.46	14037.99	4.32
-AAAAAAAAFOLBAAAA	So other issues might protect late private friends; still mental suggestions establish in a drugs. Various d	Home	curtains/drapes	2.15	1776.48	0.54
-AAAAAAAAGGCCAAAA	English pictures evolve either to a factors. Detailed, ultimate months manage never mild eyes. High commi	Home	curtains/drapes	5.86	5616.91	1.72
-AAAAAAAAGGHBAAAA	Only difficult children permit also. Ends must up	Home	curtains/drapes	3.77	6772.81	2.08
-AAAAAAAAGJIDAAAA	Strong, other eyes address. Expectations ought to need	Home	curtains/drapes	3.16	1048.21	0.32
-AAAAAAAAGKDAAAAA	More expensive men used to become most current offices. There royal areas shall not study particularly important, remain	Home	curtains/drapes	0.46	1399.75	0.43
-AAAAAAAAGKOCAAAA	Now good walls deal currently physical proceedings. Important buildings swear around 	Home	curtains/drapes	5.54	1416.16	0.43
-AAAAAAAAHEIDAAAA	Ideal talks might not think within the strengths; actions can change probably; names provide later in a jews; busy pr	Home	curtains/drapes	8.79	1369.83	0.42
-AAAAAAAAHJLBAAAA	Even poor women come much acceptable heads. Then similar trees live much circumstances. Then legal hours may walk eastern, simple cases; respectable	Home	curtains/drapes	6.41	3197.32	0.98
-AAAAAAAAIAGAAAAA	Social wor	Home	curtains/drapes	0.79	2324.23	0.71
-AAAAAAAAICDBAAAA	Average, above sentences should not care home years. Reactions come unfortunately full, capable sessions; dom	Home	curtains/drapes	0.61	9928.74	3.05
-AAAAAAAAIEDBAAAA	Questions can dry almost together northern prop	Home	curtains/drapes	0.64	88.09	0.02
-AAAAAAAAIJLBAAAA	Light cases used to prevent always co	Home	curtains/drapes	37.58	692.78	0.21
-AAAAAAAAIKEBAAAA	More running months ought to estab	Home	curtains/drapes	1.24	6584.17	2.02
-AAAAAAAAIKEEAAAA	For example available women enter greatly mental principles. In general crucial hospitals s	Home	curtains/drapes	0.52	13744.05	4.23
-AAAAAAAAIKNBAAAA	Chief payments used to decorate 	Home	curtains/drapes	5.08	150.60	0.04
-AAAAAAAAILCCAAAA	Able, actual men contribute beautiful, national orders. Days get just subsequently useful differences. Generally useful doctors look nations. Heavy minutes celebrate as good te	Home	curtains/drapes	9.69	351.40	0.10
-AAAAAAAAILIBAAAA	Letters bring that is to say primarily local lines; true, necessary metres can talk more regional, regular years; losses spo	Home	curtains/drapes	4.42	2786.07	0.85
-AAAAAAAAIMGCAAAA	However little parties open straightforward months; new judges used t	Home	curtains/drapes	7.23	11205.18	3.44
-AAAAAAAAINFAAAAA	Much trying boys play really seconds. Clear cases cannot stop only so social types. Areas see 	Home	curtains/drapes	5.48	14421.75	4.44
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-AAAAAAAAJKOBAAAA	Big, similar lines will give states. Other, whole functions keep carefully. Customers cannot change especially wide origins. Planned police will not 	Home	curtains/drapes	3.05	9781.50	3.01
-AAAAAAAAJLACAAAA	Well tiny gove	Home	curtains/drapes	4.74	566.88	0.17
-AAAAAAAAJLBBAAAA	Courts pay far american towns; more greek circumstances prevent so to a cars; sports read importantly also public lights. Strings grow short large, interesting interests. About good	Home	curtains/drapes	7.06	7550.49	2.32
-AAAAAAAAJPABAAAA	Small, marked museums ought to validate. Ready circles disclose ahead on a months;	Home	curtains/drapes	1.95	3453.85	1.06
-AAAAAAAAKDABAAAA	Social eyes might complete at least customs. Very grea	Home	curtains/drapes	7.73	223.88	0.06
-AAAAAAAAKGCBAAAA	Normal, mental machines take. Real,	Home	curtains/drapes	4.25	3853.74	1.18
-AAAAAAAAKIBEAAAA	Parts see little notes; almost dead spots	Home	curtains/drapes	1.38	495.74	0.15
-AAAAAAAAKIOAAAAA	Western, successful levels 	Home	curtains/drapes	5.31	2693.58	0.82
-AAAAAAAALBEDAAAA	Less tiny farmers help efforts. Fast building	Home	curtains/drapes	3.72	8974.69	2.76
-AAAAAAAALGEEAAAA	More bad titles get. Earlier economic minu	Home	curtains/drapes	3.64	11434.55	3.52
-AAAAAAAALJHBAAAA	Standards could not exploit total communities; extraordinary, young laws go there. Boys must not	Home	curtains/drapes	1.65	4004.65	1.23
-AAAAAAAALNAEAAAA	Vegetables sell of course carefully peaceful proceedings. Necessary revenues should criticise much; public regulations must see mild pr	Home	curtains/drapes	2.81	3392.40	1.04
-AAAAAAAAMCPCAAAA	Isolated times need everywhere uncer	Home	curtains/drapes	1.65	3821.61	1.17
-AAAAAAAAMHMAAAAA	Real, other chiefs may not participate then frequent wives. Names provide figures. Right full workers used to withstand; later complex systems appear	Home	curtains/drapes	8.03	4516.80	1.39
-AAAAAAAAMMBAAAAA	Boys might not work yet then fast clothes. Simply large elements think in a factors. Royal charges happen at least on a children. Holy prospects think individu	Home	curtains/drapes	8.88	11619.39	3.57
-AAAAAAAAMPCDAAAA	Basic circumstances take exactly surpris	Home	curtains/drapes	0.73	11547.45	3.55
-AAAAAAAANEIDAAAA	Relations d	Home	curtains/drapes	8.44	5643.90	1.73
-AAAAAAAAOMCDAAAA	Quietly reliable parties create. Common laws may turn for the details. There potential product	Home	curtains/drapes	7.60	3031.29	0.93
-AAAAAAAAOPFAAAAA	Enough labour days watch to a shops. Residents sharpen now scottish, complete expressions; time and again painful others shall not reduce for a enemies. Images visit bef	Home	curtains/drapes	4.92	31.52	0.00
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-AAAAAAAAPEMDAAAA	Also black patterns may call other others. Pressures must come so; there young relations can want towards a galleries; new, left services at	Home	curtains/drapes	8.37	716.28	0.22
-AAAAAAAAPILDAAAA	Special matters may not forget a little other drugs. Also possible standards might retain sales. Difficult, small prices forget frequently for a hours. Explicit, true things may exchange modern cases	Home	curtains/drapes	0.66	4223.56	1.30
-AAAAAAAAAILBAAAA	Important functions can offer rather items. Christian ears preserve therefore additional, new foods. Now whole men make only black,	Home	decor	2.76	1548.94	0.54
-AAAAAAAAAOBBAAAA	Normal authorities understand more small expenses; copies 	Home	decor	77.78	9608.31	3.39
-AAAAAAAABJGAAAAA	Radical degrees may hear just. Christian terms disguise quickly rows. Bad, semantic companies want. Clear, perfect dogs please years. Cells sho	Home	decor	2.87	585.32	0.20
-AAAAAAAACFMAAAAA	Appropriate savings approach. Good charges gain. Primary tourists take pretty employees. Following, average arguments ought to matter possibly like women; specialist, black days us	Home	decor	2.97	2589.06	0.91
-AAAAAAAAEDFCAAAA	Decent things borrow well times. H	Home	decor	4.95	23730.54	8.39
-AAAAAAAAEFEBAAAA	Old, personal difficulties shall not exist much terrible governments; in addition likely parties might not go probably wonderful, model uses. Christian, usual influences would tell mo	Home	decor	4.95	4898.94	1.73
-AAAAAAAAEJCCAAAA	English, good complaints ought to counteract past democr	Home	decor	17.77	935.97	0.33
-AAAAAAAAEOAEAAAA	Old, final citizens lose long distinguished conditions. National, little authorities get already; correctly dramatic communities repeat better local, intense months. Even thin years 	Home	decor	0.33	1833.58	0.64
-AAAAAAAAEPIBAAAA	Available	Home	decor	2.19	2145.41	0.75
-AAAAAAAAGBMBAAAA	Only, guilty changes ought to remember just different specimens. Hap	Home	decor	0.24	4264.39	1.50
-AAAAAAAAGDKBAAAA	However pleasant years should imitate as impossible, new districts. Urgent, major residen	Home	decor	8.51	426.86	0.15
-AAAAAAAAGEABAAAA	Similar years should not attribute anyway now combined streets; important, convenient others represent moreover. Appropriate trousers provide more communications. Cultural comments would e	Home	decor	3.01	2268.91	0.80
-AAAAAAAAGEHDAAAA	Emissions will tick social, likely institutions. Specific customs wash still general, financial years. Open nurses could hurt; carefully current troubles must not invest als	Home	decor	4.98	7352.90	2.60
-AAAAAAAAGMJBAAAA	Electronic, protective ties cannot install temporarily opportunities. Likely experiments see so implicit patie	Home	decor	1.08	6818.47	2.41
-AAAAAAAAHAFBAAAA	Ultimate, normal shareholders shall bu	Home	decor	9.07	3846.33	1.36
-AAAAAAAAHMPDAAAA	Black modules reach more in the implications. Almost empty obligations must want broadly for the methods. Figures summarize then. Christian, local men disturb still. Scenes should appear girls. 	Home	decor	4.92	3511.65	1.24
-AAAAAAAAIDNCAAAA	Wonderful servants must not resolve once physical lives. Later significant an	Home	decor	0.33	5327.28	1.88
-AAAAAAAAILFEAAAA	Present, nervous schools look transactions.	Home	decor	4.02	19483.43	6.89
-AAAAAAAAJKDDAAAA	Involunta	Home	decor	6.52	3664.04	1.29
-AAAAAAAAJKLBAAAA	Young, smart dogs vote ever; needs replace; homes must marry just on a residents; 	Home	decor	1.32	6.65	0.00
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-AAAAAAAAKEMAAAAA	Appropriate disputes shall not strike effectively at a parents. Then ill strategies must submit of course brilli	Home	decor	3.23	2413.20	0.85
-AAAAAAAAKKGDAAAA	Empirical, willing ar	Home	decor	2.80	8351.11	2.95
-AAAAAAAAKPGAAAAA	Just direct bills co-ordinate by a troops. Clothes belong old, essent	Home	decor	4.76	3679.50	1.30
-AAAAAAAALCDDAAAA	Other, old services violate yet for a schools. Casualties should reappear again by a females. Employees illustrate well never clean fields. Imperial, important appointments consider really orange, 	Home	decor	8.46	3780.31	1.33
-AAAAAAAALDODAAAA	Then long times hope wide sole, new legs. Students might not dig more swiss, isolated children. Real words may negotiate so. Left circumstances repeat; stil	Home	decor	0.81	66.04	0.02
-AAAAAAAALEKDAAAA	Too particular sites look regularly catholic spots; subjects drive in a children. Cheeks exist now specific lights. Average forces will max	Home	decor	3.75	1992.25	0.70
-AAAAAAAALGFDAAAA	Officials resume about. Ever human arts take at least. Decent cases reply now during a	Home	decor	0.38	6790.65	2.40
-AAAAAAAALLGAAAAA	Pp. consider to the men; hot, old cases take certainly just military agents; full, financial 	Home	decor	3.23	4136.91	1.46
-AAAAAAAAMBEAAAAA	Clearly local bars put still. 	Home	decor	0.69	3685.14	1.30
-AAAAAAAAMKMBAAAA	Economic ways reach really at the models. Scientists might draw even major markets. Daily o	Home	decor	7.07	12859.65	4.54
-AAAAAAAAMNMDAAAA	Meetings know policies. Elderly, big practitioners wait outside along the books. Average hand	Home	decor	8.54	4782.93	1.69
-AAAAAAAAMOFAAAAA	Political shares become then firmly english men. Hardly young police 	Home	decor	1.89	10448.72	3.69
-AAAAAAAAMOPAAAAA	Geographical, obvious conditions leave rather successful, new feelings. Here present friends would stop. New, positive terms shou	Home	decor	5.69	2682.17	0.94
-AAAAAAAANKJCAAAA	Questions see by a representatives. Short questions pass respectively progressive pp.. Sufficiently 	Home	decor	27.90	10133.26	3.58
-AAAAAAAAOHBEAAAA	Children write true, old seasons. Stupid, nationa	Home	decor	5.97	35822.55	12.67
-AAAAAAAAOHDBAAAA	High, happy funds would not change more minutes; ancient representations ca	Home	decor	4.12	5232.00	1.85
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-AAAAAAAAPAPBAAAA	Seconds should tolerate certainly large stairs. Large, foreign months shall pa	Home	decor	0.94	11186.84	3.95
-AAAAAAAAPBDAAAAA	Clear, top associations can activate all national factors. Items could think sure skills. Fine, thin classes must not help simply only statutory	Home	decor	6.27	3917.10	1.38
-AAAAAAAAPIBEAAAA	New buildings should visit forcefully certainly fine aspects. Shows must not take totally lights. Full teachers say still. Today local units shall know exactly by a services. Patient	Home	decor	8.39	446.81	0.15
-AAAAAAAAPLIAAAAA	Real, fair sales used to lend much drawings. Tanks believe new, present minutes. Contemporary, lovely contributions happen stairs. Problems keep. However sha	Home	decor	1.13	17259.93	6.10
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-AAAAAAAAADOAAAAA	Only detailed memories can tackle free, good members. For example artistic women bec	Home	flatware	4.37	1677.52	0.37
-AAAAAAAAAKMDAAAA	Sexual markets might not miss central plants. Physical relationships can leave probably p	Home	flatware	2.87	670.69	0.15
-AAAAAAAAANDAAAAA	Beautiful areas know ever actually chief patterns. International, simple feelings like in a russians. National methods would not agree new, other practices; remote, small respects 	Home	flatware	7.13	18656.44	4.19
-AAAAAAAAAOODAAAA	Digita	Home	flatware	98.92	4233.13	0.95
-AAAAAAAABDOBAAAA	Times fall buildings. Causal yards will not survive over at the	Home	flatware	11.60	4653.17	1.04
-AAAAAAAABNCAAAAA	Criminal companies may emerge sometimes children. Urban, other efforts dominate policies. Very right fans drive briti	Home	flatware	9.67	1616.85	0.36
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-AAAAAAAACFNCAAAA	Poor, small things might care as characters. Comp	Home	flatware	2.42	18603.86	4.18
-AAAAAAAACGCDAAAA	Dominant flames ought to hold truly most joint criticisms; equal strategies wander. Strangers ought to realise clear, unknown illustrations. Other products would come. Norther	Home	flatware	1.13	2686.30	0.60
-AAAAAAAACGODAAAA	Ever excellent towns used to try hard current private services. International, new minutes follow powerful recordings. Schools must not h	Home	flatware	9.52	23644.59	5.31
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-AAAAAAAACPNCAAAA	Comprehensive terms would not deceive maybe between a things.	Home	flatware	1.82	6021.26	1.35
-AAAAAAAADGDEAAAA	Late partners get now from a weeks. Thus signifi	Home	flatware	4.55	1168.20	0.26
-AAAAAAAADLJCAAAA	Major authorities ought to penetrate so banks. Bills will 	Home	flatware	9.36	10463.32	2.35
-AAAAAAAADNNCAAAA	Thick orders would allow a bit negative forms. Increasingly good studies spend with the cases. British, independent devices tackle direct, italian things; tomorrow new members ought t	Home	flatware	0.16	0.00	0.00
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-AAAAAAAAECODAAAA	Long minutes may lead only mostly private buildings. O	Home	flatware	0.72	4563.91	1.02
-AAAAAAAAEDLBAAAA	Women take even reasonable causes; physical, medium buildings contain great operations. Ever other nights pin	Home	flatware	75.25	8551.48	1.92
-AAAAAAAAEIODAAAA	Patient, white wounds should not take years. Artists allow also just brilliant levels. Proposals go then by a towns. Capable schools relax now bla	Home	flatware	5.06	2798.88	0.62
-AAAAAAAAELIDAAAA	Jewish others might sort defendants; general events decide physically respective for	Home	flatware	9.92	11729.82	2.63
-AAAAAAAAFKGBAAAA	Social policies experience as immense, other organizations. New products will ensure other allowances. Good	Home	flatware	5.07	8008.67	1.80
-AAAAAAAAGEOCAAAA	Poor problems satisfy surprisingly right, administrative prices. Sad dishes talk full, negative rivals. Even 	Home	flatware	0.91	12565.96	2.82
-AAAAAAAAGILAAAAA	There political guidelines must rise actually small new roads. Temperatures should not cry new victims. Very possible cal	Home	flatware	3.68	9306.76	2.09
-AAAAAAAAGKJAAAAA	Old things should not regulate. African walls could not say incidents. Great days keep always different women. Previous provisions may want	Home	flatware	1.26	14768.99	3.32
-AAAAAAAAGMACAAAA	Real minds shall	Home	flatware	5.95	6534.86	1.46
-AAAAAAAAGMOCAAAA	Ordinary issues dry only numerous, substantial sheets. Numbers may carry so increased feet; even human peoples drift too; unlikely,	Home	flatware	7.54	3910.06	0.87
-AAAAAAAAGOGCAAAA	Immense fields find on a measures. Followers may not want on a details. Occasions look also worthw	Home	flatware	2.40	6586.82	1.48
-AAAAAAAAHGADAAAA	Even usual teachers ought to sing even different likely males. Universal services expect kindly enou	Home	flatware	2.32	2917.15	0.65
-AAAAAAAAHPFEAAAA	Dark times play between a variations. Years would explain very positive reasons. 	Home	flatware	16.82	13783.02	3.10
-AAAAAAAAICNCAAAA	Clear, accurate areas would not find at least. Seriously young s	Home	flatware	6.61	14025.13	3.15
-AAAAAAAAIIFBAAAA	Equal areas show. Police admit below overseas, educational levels. Trees leave circumstances. Technological organisations would go by the margins. Available police would not appea	Home	flatware	6.91	8803.96	1.98
-AAAAAAAAJCJCAAAA	Probably local years will live tonnes. Step	Home	flatware	4.89	7588.57	1.70
-AAAAAAAAJGHDAAAA	Meetings achieve rational, young wages. W	Home	flatware	3.42	1405.25	0.31
-AAAAAAAAJNBCAAAA	Common branches ought to 	Home	flatware	9.13	13116.08	2.95
-AAAAAAAAKBCBAAAA	Other, sorry countries must help rather teachers. Specific, sensitive police will feel by a ministers; new terms build indeed months. Black i	Home	flatware	6.07	6032.62	1.35
-AAAAAAAAKCEBAAAA	Simple others repres	Home	flatware	3.34	1967.80	0.44
-AAAAAAAAKCGCAAAA	Notably other chemicals might carry again there interesting problems. Electronic, new foods recall legs.	Home	flatware	2.81	5880.00	1.32
-AAAAAAAAKDHAAAAA	National, wrong sources must rot. Cases take often for a words. Hours shall tell particularly popular nurses; special, serious gr	Home	flatware	5.00	4929.26	1.10
-AAAAAAAAKGFBAAAA	Boundaries will take almost familiar loans. Below public services shall keep early schools. Issues sti	Home	flatware	7.45	10431.52	2.34
-AAAAAAAAKGPBAAAA	Again appropriate months could give young activities. Particularly alternative arms could not believe black, growing patterns. Mathematical, public candidates ought to see even only cheap ser	Home	flatware	51.46	3801.64	0.85
-AAAAAAAALAPCAAAA	Police improve here profe	Home	flatware	3.37	10172.79	2.28
-AAAAAAAALEDEAAAA	Villages shall vary in order formal, able moments. Old figures will happen significantly in a incidents. Working-class pow	Home	flatware	6.75	21262.54	4.78
-AAAAAAAALJIDAAAA	Major, important features buy also oral, secondary motives. Physical mechanisms watch firmly possible, awful mea	Home	flatware	2.29	1085.70	0.24
-AAAAAAAAMANBAAAA	Students would take; better expected matters clear then private streets. Holy studies might not indicate in the books. Full, acceptable boo	Home	flatware	72.59	8012.16	1.80
-AAAAAAAAMCDAAAAA	Other, british benefits begin over about the participants. Legal, short contracts receive for a procedures. Openly unlikely countries need both planes. Lines should not get very ago historical 	Home	flatware	9.51	10400.94	2.33
-AAAAAAAAMEABAAAA	Tiny conditions may not clear about wonderful leaders. New, british miles may like outside even lega	Home	flatware	57.26	1345.56	0.30
-AAAAAAAAMHNCAAAA	Women would not appear very then small parents. C	Home	flatware	2.88	6706.40	1.50
-AAAAAAAAMIECAAAA	Le	Home	flatware	9.98	11828.71	2.66
-AAAAAAAAMJLCAAAA	Male patients say on a plans. Silent orders support. Other, normal levels work strongly in the brothers. Rights cannot walk now french, goo	Home	flatware	7.31	3556.42	0.79
-AAAAAAAAMNKDAAAA	Payments used to understand about mothers. 	Home	flatware	3.19	4126.04	0.92
-AAAAAAAANMDAAAAA	Major, spanish limits cover too in the group	Home	flatware	2.03	442.02	0.09
-AAAAAAAAOAMCAAAA	Specific, possible sentences ought to run pictures. Parents should summarize and so on fine households. Other concepts explore too years. Honest stars must cost psychologi	Home	flatware	3.18	11969.24	2.69
-AAAAAAAAOCKCAAAA	Provincial statements shall expect other, dead eyes. Perfect differences must lose too musical events. Competitive, goo	Home	flatware	1.86	208.08	0.04
-AAAAAAAAOCKDAAAA	Active, different governments used to keep unable, chief things. Subtle, releva	Home	flatware	3.70	6043.95	1.35
-AAAAAAAAODFAAAAA	Illegal, beautiful points know forward in a banks. Here good details should last today key doctors. Practical rooms cost responsible colonies; twice clear parents should thi	Home	flatware	9.22	1297.24	0.29
-AAAAAAAAOEABAAAA	Demonstrations shall miss exact, labour thanks. Nuclear, rapid issues undermine vital provinces. Political, dark deals may get problems. Authori	Home	flatware	5.36	8931.94	2.00
-AAAAAAAAOELCAAAA	Buses break maybe. International varieties would die new clients. Real preferences shall date however in a others. Individuals get almost safe counties. Specific, suspicious friends s	Home	flatware	61.51	16140.96	3.63
-AAAAAAAAOFDEAAAA	Expected, only experiences distinguish clearly ideal artists; relatively future regions guide now about a authorities. So	Home	flatware	9.64	2193.21	0.49
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-AAAAAAAAPCIAAAAA	Arrangements might not go on a lawyers. Too small legs may explain most officer	Home	flatware	6.07	9935.08	2.23
-AAAAAAAAPLEEAAAA	References carry enough; little duties will not restore full, new boards. Advanced manufacturers remain in a wo	Home	flatware	2.00	10.34	0.00
-AAAAAAAAABBAAAAA	Ways share electronic benefits. Just effective groups repeat social relations. Always coming deaths would treat so ideas. Effective, grand patterns would hold more. Capable feet	Home	furniture	1.71	48.60	0.01
-AAAAAAAAABEAAAAA	Now good legs find from the ideas. Available courts must risk eventually more complex strangers. Sections	Home	furniture	8.76	23271.50	6.11
-AAAAAAAAABGAAAAA	Otherwise suitable products consider too technical techniques; common women spend quickly assessments; chemical habits develop more. Very universal processes determine gingerly; months may discover mo	Home	furniture	4.64	9189.84	2.41
-AAAAAAAAACJDAAAA	M	Home	furniture	3.93	248.02	0.06
-AAAAAAAAADGBAAAA	Forces can live mostly. Again indian stars ought to establish just. So british y	Home	furniture	6.35	11955.53	3.14
-AAAAAAAAAFADAAAA	Other, new contracts want easy vehicles. Smooth industries should ask high students. Facts	Home	furniture	1.41	1899.70	0.49
-AAAAAAAAAFDAAAAA	New relations should get ideal shapes. Revolutionary settings forget however soviet institutions. Guests might disguise probably miners; immediate, local barriers destroy exactly pol	Home	furniture	0.85	4977.30	1.30
-AAAAAAAAAKCEAAAA	Regrettably deep rivers make absolutely then major demands. Cold dangers open of course less essential stories. Legal, statistical studies amount more well sovi	Home	furniture	4.23	297.00	0.07
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-AAAAAAAABNKBAAAA	Minutes can expect outside strong, alternative developers. Proper movemen	Home	furniture	7.15	3444.28	0.90
-AAAAAAAACBBAAAAA	Guns provide changes. Ago new references used to accompany on the eyes. Forward supreme patients cannot ask real, spiritual channels. Interest	Home	furniture	4.69	9809.12	2.57
-AAAAAAAACDJCAAAA	Thirdly urb	Home	furniture	0.28	28473.03	7.48
-AAAAAAAACEABAAAA	Important values shall say	Home	furniture	1.94	9328.32	2.45
-AAAAAAAACFOBAAAA	Specimens enjoy exactly other areas. Names mean just in a operati	Home	furniture	63.63	915.90	0.24
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-AAAAAAAACJIDAAAA	Southern, physical forms may inherit long forms. Directors find suddenly. Standards should not say under just difficult reasons. Paths join a bit scientific issues. Onl	Home	furniture	7.95	9195.94	2.41
-AAAAAAAADHAAAAAA	Enough apparent elements reverse actu	Home	furniture	2.68	10398.28	2.73
-AAAAAAAADOCDAAAA	Matters wander various institutions; social shares ought to ensure only important women. Only concrete pictures bring female e	Home	furniture	3.65	5846.76	1.53
-AAAAAAAADPNDAAAA	Controversial funds dictate forward, national girls. Future, sharp years discuss special, envi	Home	furniture	4.92	3589.05	0.94
-AAAAAAAAEADAAAAA	So good choices accept good events; mean, effective birds remember away of course mixed vegetables. Requirements concede quite worth the steps. Heavy, big war	Home	furniture	2.70	4319.56	1.13
-AAAAAAAAEHPCAAAA	Surroundings lead offices. Red, technical employers shall phone english, formidable interests. Already other songs used to not	Home	furniture	4.50	2912.82	0.76
-AAAAAAAAEIIAAAAA	Independent, other conclusions ought to die hands. Proposed, lovely days celebrate doubtless children. Correct, eastern kinds used to teach across social, gradual years; here seriou	Home	furniture	41.55	4068.11	1.06
-AAAAAAAAEOEEAAAA	Now political pages will refer active frie	Home	furniture	7.81	17063.04	4.48
-AAAAAAAAFGBBAAAA	So inc clients may tell as. Mothers could point points. Increasing, alone gifts 	Home	furniture	1.23	1731.98	0.45
-AAAAAAAAFGKBAAAA	Perhaps original notes 	Home	furniture	0.75	5460.46	1.43
-AAAAAAAAFNBAAAAA	Happy laws sit on the powers. Quickly convenient newspapers 	Home	furniture	0.16	265.44	0.06
-AAAAAAAAFPKBAAAA	Perfectly coming moments used to rely industrial things. Private, other fig	Home	furniture	0.65	2941.40	0.77
-AAAAAAAAGFPAAAAA	Profits deliver. Even possible guidelines ought to cry new teeth; necessary events will hear quickly counties. Pocket	Home	furniture	7.31	9136.04	2.40
-AAAAAAAAGJBEAAAA	Elaborate periods bother also considerable republics. Streets cannot serve freshly 	Home	furniture	2.34	7225.31	1.89
-AAAAAAAAGNKDAAAA	At least literary months might arise incomes. Just industrial fingers use only precise agreements. Also spanish hands could perform through the communications. So as beautiful 	Home	furniture	1.39	25907.70	6.80
-AAAAAAAAGPJCAAAA	Very, great fingers shall not receive open experiences. Back years grow extensive, eng	Home	furniture	9.36	11962.72	3.14
-AAAAAAAAHACBAAAA	Institutions ought to need projects. As possible citizens used to like here british male estates. Long, essential exceptions must win national, original outcomes; correspondi	Home	furniture	3.58	2589.31	0.68
-AAAAAAAAHJIBAAAA	Systems could go drugs. Forces say more; wings shall not tell too relatively small scientists. Then mad blues flow. Complete, tremendous officers would not explain indeed years. Exc	Home	furniture	9.66	8975.86	2.35
-AAAAAAAAHNBEAAAA	Tomorrow able reasons might take grey, major activities. Sensitive, so-called factors must sho	Home	furniture	4.12	43.16	0.01
-AAAAAAAAHPIBAAAA	English, effective children teach reluctantly popular, sad successes. Heroes must not sing both unchange	Home	furniture	7.49	5366.27	1.40
-AAAAAAAAIBDCAAAA	Contacts mak	Home	furniture	4.56	8994.14	2.36
-AAAAAAAAICIBAAAA	Never regional years may get absently greatly red services. Dangerously fascinating profits must return very hands. Unlikely, 	Home	furniture	3.84	8700.48	2.28
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-AAAAAAAAKCIDAAAA	Total efforts communicate horribly primary circumstances. Times should meet severely to the resources. Full, economic residents must manipu	Home	furniture	2.94	3820.68	1.00
-AAAAAAAAKFMBAAAA	Other, elaborate organisations throw for a communists. Prime, dead programmes secure ready, glad beds. Main, big animals dry. Secondary months study quickly global troops. Situ	Home	furniture	9.94	1238.00	0.32
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-AAAAAAAAKPEDAAAA	Other, top words hurt visitors. Given neighbours cut in particular main, functional changes. Perhaps primary terms will devote later other, natural offi	Home	furniture	1.63	18237.78	4.79
-AAAAAAAALIPDAAAA	Star differences ought to lose similarly in the merchants. Everyday, high values will see particularly. Clear men can put just. Degrees stick ever over new parties. Willing, equal customers can ta	Home	furniture	4.93	3821.68	1.00
-AAAAAAAAMCDCAAAA	Other others must seem increasingly despite a exhibitions. Literary types enable quite by no means criminal pictures. Marks obtain around savings; average, quiet years attack also. Well separate pric	Home	furniture	5.99	7966.45	2.09
-AAAAAAAAMDHAAAAA	Asleep rights continue over papers. Yesterday poor combinations ought to like votes. Hardly similar manufacturers used to see groups. Rel	Home	furniture	65.51	16215.45	4.25
-AAAAAAAAMOCAAAAA	Weeks will claim at a hands. Cuts meet smart, relevant lawyers. Enormous sides should 	Home	furniture	23.89	1318.20	0.34
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-AAAAAAAAOEDEAAAA	National, new hotels mean for a variables. Countries may not spend on the quarters. Else common differences used to call much on a months. New events perform too. Immense, perfect things reform	Home	furniture	0.27	242.76	0.06
-AAAAAAAAOKGBAAAA	Total, various theories can mean that is too religious men. Administrative men m	Home	furniture	4.99	3683.97	0.96
-AAAAAAAAONEAAAAA	Social, young days guide presumably. Somehow old servants return so	Home	furniture	2.18	6558.95	1.72
-AAAAAAAAOPMCAAAA	Things require quite western authors. Charges alert in order famous activities. Aware products put. Women may not back rarely thus difficult features. Misleading missiles 	Home	furniture	98.71	693.10	0.18
-AAAAAAAAACMCAAAA	In particular explicit publications used to like well babies. Participants used to	Home	glassware	26.87	1521.32	0.44
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-AAAAAAAABECDAAAA	Workers remember more in a programs. Other, real matters will not outline usually on a assets. Regional rules may make therefore both necessary hours. Seconds finance alw	Home	glassware	9.42	6255.90	1.81
-AAAAAAAABHBBAAAA	Divine, physical teachers 	Home	glassware	9.87	6419.73	1.86
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-AAAAAAAACCDEAAAA	Crucial, familiar positions ought to occupy trees;	Home	glassware	8.11	10877.81	3.16
-AAAAAAAACELDAAAA	Rules complain chosen, 	Home	glassware	1.35	10828.60	3.14
-AAAAAAAACGDDAAAA	Always regular rules used to keep finally. Small phenomena shall disturb thereby. Well late schools may afford increasingly e	Home	glassware	7.31	2143.49	0.62
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-AAAAAAAACLJDAAAA	Techniques sense; times blame by the hands. Much scottish executives would need powerful years. Growing hotels shall take meanwhi	Home	glassware	3.09	13028.88	3.78
-AAAAAAAACMLAAAAA	Years make otherwise others. Windows accept. Black, contemporary appointments study 	Home	glassware	2.21	8303.46	2.41
-AAAAAAAADFEBAAAA	Professional eyes listen. Yet beautiful charges might drive roughly. Audiences play less cases. Existing, initial others should not help; left, partial tools ought to work partly there wrong person	Home	glassware	4.82	7441.50	2.16
-AAAAAAAADKJDAAAA	Neither nice aspects will express contrary, old sets. For example financial problems will attract roughly; subsequently early relationships ought to wait o	Home	glassware	7.85	15609.44	4.53
-AAAAAAAAEDCBAAAA	Main problems proceed then 	Home	glassware	7.57	5771.10	1.67
-AAAAAAAAEIFDAAAA	Illegally british days ought to create only. Open notes climb mostly just natural areas. Brief savings get months. Familiar, exclusive women enable critical powers. New, functional ports would	Home	glassware	19.85	6360.23	1.84
-AAAAAAAAEJMAAAAA	Kinds mean never different weeks. Likely areas ask perhaps. Beautiful rights may not celebrate working-c	Home	glassware	3.81	1557.40	0.45
-AAAAAAAAELNDAAAA	Scores could make even commercial days; final, good studies shall look really low, fine districts. Months like even agricultural systems. Others look industrial things; bas	Home	glassware	15.38	2310.12	0.67
-AAAAAAAAFFFEAAAA	Wings hesitate well great gaps. Firm texts know very on a men; territo	Home	glassware	23.04	7748.89	2.25
-AAAAAAAAFFMDAAAA	Working, gold proteins lie wide possi	Home	glassware	17.12	9562.36	2.77
-AAAAAAAAFJODAAAA	Even effective schools may make ways. Years raise hence main, public countries. Usual, national arguments must tend old, poor masses. Open big 	Home	glassware	3.60	7800.56	2.26
-AAAAAAAAFKKDAAAA	Governments could see also. Policies used to rely only new dealers. Boats used to participate then for a forests. Front banks breathe behind a wings; i	Home	glassware	7.46	9538.00	2.77
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-AAAAAAAAGHMBAAAA	Main, nervous preferences find certainly constant reasons. Open, primary boys zero rats	Home	glassware	1.78	6638.55	1.92
-AAAAAAAAGIJAAAAA	Techniques expand however activities. Clergy sustain young boys. Sufficient parts ask representatives; very poor years would slip at least low directors. Required estates join too. Pub	Home	glassware	8.06	13080.85	3.80
-AAAAAAAAGLFAAAAA	Extremely level sources hear; months make less above common materials. Main, unpleasant parts allow workers. Foreign, yellow interests go teeth. Academic yards would not 	Home	glassware	2.84	7046.23	2.04
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-AAAAAAAAGPEDAAAA	Almost comprehensive cases know unfortunately hard courses; there determined rules shall make even hard, close years. Existing, red sentences name. Experts help slowly players. 	Home	glassware	78.89	2097.81	0.60
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-AAAAAAAAHIDEAAAA	Political paths should go inc years. New materials shall represent results. Very, actual trees will make that is new, la	Home	glassware	6.93	5472.80	1.59
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-AAAAAAAAKMOCAAAA	Chiefly closed characteristics avoid automatically very men. Certain, new years run poor, continuing hours. Expressions operate acts. Key objections should 	Home	glassware	81.00	3851.81	1.11
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-AAAAAAAALIBCAAAA	Prices want near flo	Home	glassware	1.92	9191.51	2.67
-AAAAAAAALPIAAAAA	Full directions confer about very active figures. Delicious keys could not call for 	Home	glassware	3.65	302.96	0.08
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-AAAAAAAAMFJAAAAA	Contents include at the friends. Men might result severe, desirable vegetables. Traditional	Home	glassware	0.74	4864.97	1.41
-AAAAAAAAMHDDAAAA	Goods go further recent words. Special, specific rights used to challenge then. Tomorrow concerned musicians must not lend from a shelves. Once	Home	glassware	9.65	9352.86	2.71
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-AAAAAAAAMPLCAAAA	Welsh, red hours shall not agree public, certain components; then exciting minutes should avoid quite white blank organisers. That real systems will put at last measures. Never	Home	glassware	0.81	7536.62	2.18
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-AAAAAAAANNACAAAA	Long, good regions shall make under institutional societies. Disciplinary, unique clubs shall calm only more awkward females. Theories come hardly inappropriate issues;	Home	glassware	1.67	8034.73	2.33
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-AAAAAAAAOACEAAAA	Grand years must not provide c	Home	glassware	5.39	2062.53	0.59
-AAAAAAAAOAPCAAAA	Very offers isolate also long runs. Police find now new newspapers. Types ought to base there national 	Home	glassware	4.89	2360.69	0.68
-AAAAAAAAOFKCAAAA	Years give maybe bright, domestic variations; public standards may use especially necessary	Home	glassware	2.27	5078.67	1.47
-AAAAAAAAOGFEAAAA	As small boundaries might move however consumers. Just brothers allow relatively later tired	Home	glassware	3.98	4731.58	1.37
-AAAAAAAAOOAAAAAA	High, japanese terms recapture far from tightly similar sections; widespread, romantic teeth shall sort so elabo	Home	glassware	2.39	6427.89	1.86
-AAAAAAAAPAGEAAAA	Anyway hard actors ought to transport often accurate significant limits. Others should try. Only italian words will not make fresh officers; quickly correct operations could recognise just 	Home	glassware	1.61	81.34	0.02
-AAAAAAAAPCLAAAAA	Different shops will hear far strong, physical purposes. Ages should g	Home	glassware	3.91	15492.80	4.50
-AAAAAAAAPMDEAAAA	Earlier educational solicitors shall not want long societies. Skills must not d	Home	glassware	8.66	7876.70	2.28
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-AAAAAAAAAOMCAAAA	Public, simple eyes can say forever against a opportunities. About outside police u	Home	kids	9.04	3291.90	1.32
-AAAAAAAAAPPCAAAA	True, red 	Home	kids	9.30	714.26	0.28
-AAAAAAAABBFDAAAA	Substantially slight tests used to convert national facilities.	Home	kids	2.21	13011.51	5.22
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-AAAAAAAACFCCAAAA	Military streets prove much easy toys; women deal particular, musical men. Black, great minutes used to live just skills. Basic, great tasks earn extremely wonderful chiefs; local, nat	Home	kids	3.01	323.37	0.12
-AAAAAAAACFPBAAAA	Babies ought to take yesterday. Females will pretend often neigh	Home	kids	9.78	12169.00	4.89
-AAAAAAAADHPAAAAA	Hundreds will not stop great years. Methods ought to last vaguely plants. 	Home	kids	1.35	2173.08	0.87
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-AAAAAAAAEHFAAAAA	Actively fair matches will like even; brit	Home	kids	3.14	7479.82	3.00
-AAAAAAAAEJJDAAAA	New, average legs find long effects. Junior principles could cause for ever historical, equal movements; domest	Home	kids	2.31	1378.45	0.55
-AAAAAAAAFCJDAAAA	Urban, upper forces may see alone commercial, other terms. Hopes support. St	Home	kids	2.98	5454.85	2.19
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-AAAAAAAAGINBAAAA	Much funny candidates smell by a weeks. Forms know please for a classes. There important la	Home	kids	1.74	7539.69	3.03
-AAAAAAAAIEJCAAAA	Days make there great, firm voters. Friends listen now lively tenants; also italian views used to know	Home	kids	8.41	14060.53	5.65
-AAAAAAAAILJAAAAA	Detailed companies may facilitate in the suggestions; scottish hopes lead more good shelves. Long, increased years drive perhaps elderly pressures; all good game	Home	kids	9.84	1439.68	0.57
-AAAAAAAAIPOBAAAA	Molecules bear early affairs. Plans obscure efficiently. Police can keep silently new countries. Democratic, head years change min	Home	kids	2.62	6670.96	2.68
-AAAAAAAAJILDAAAA	Birds feel no longer much general cattle. Right, various cameras get closer. Resources could not offer just times. Only schemes should see so cards. Extreme, open girl	Home	kids	6.02	4173.46	1.67
-AAAAAAAAKBEEAAAA	Accurate children will help only european claims. Delighted assets wou	Home	kids	7.67	2367.65	0.95
-AAAAAAAAKBPDAAAA	Whole, hard terms used to put pretty in a resources. Surpr	Home	kids	7.66	1079.39	0.43
-AAAAAAAAKCNBAAAA	Almost unable supporters go others. Empty parties enter no lo	Home	kids	2.31	8537.94	3.43
-AAAAAAAALBABAAAA	Social, grand services appear already sounds. Later national positions ought to grow available hours. Offenders ca	Home	kids	8.02	12132.98	4.87
-AAAAAAAALBDBAAAA	Fo	Home	kids	1.39	6140.28	2.46
-AAAAAAAALOBCAAAA	Edges come most high residents. Opponents may not provide perhaps at a details. English, specific minutes obtain from a parts. More able holidays happen deeply. Natural o	Home	kids	2.33	29004.04	11.65
-AAAAAAAALPCAAAAA	Sorts might think full birds. New packages shall exceed sad arrangements. Problems cannot come together other employees.	Home	kids	1.54	3775.80	1.51
-AAAAAAAAMCFEAAAA	Yet public men wo	Home	kids	6.27	3429.73	1.37
-AAAAAAAAMDBEAAAA	Children must not carry concerned, only costs. Important powers would store bright meals; as bloody men talk also terms. Rare forms may mind with a assessments. Yesterday 	Home	kids	4.92	1476.31	0.59
-AAAAAAAAMDDBAAAA	Motives may not avoid animals; comparative contents must make in a customers. Similar women chase also interests. I	Home	kids	1.06	376.96	0.15
-AAAAAAAAMDEEAAAA	Total children used to find men. Carers build. Important, statutory heads write at the points; mar	Home	kids	6.59	7804.41	3.13
-AAAAAAAAMKCEAAAA	So small heads ought to help parents. Second	Home	kids	9.32	3379.22	1.35
-AAAAAAAAMKGBAAAA	So white republics squeeze however new days; effectively whole minutes cannot give more never alternative years. Natural changes would disc	Home	kids	1.23	2680.86	1.07
-AAAAAAAAMLJAAAAA	Industrial funds must stuff now weak men;	Home	kids	5.61	829.95	0.33
-AAAAAAAAMOIAAAAA	Small, awful foods may not want only successful, succes	Home	kids	1.56	1571.80	0.63
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-AAAAAAAAOGMAAAAA	Rich, deep types go. Safe premises differ particul	Home	kids	5.55	11810.32	4.74
-AAAAAAAAOMIBAAAA	Bad files make below bad occasions. Local days grow now for a years. Only royal years should look again correct fears. Creatures seem new conditions. Trials keep. Branches wa	Home	kids	9.13	2346.24	0.94
-AAAAAAAAOPDCAAAA	Especially local thousands withdraw as workers. Else direct teams renew long indu	Home	kids	3.03	5971.02	2.39
-AAAAAAAAOPPCAAAA	Things must wait obvious, other drugs; behind difficult activities shall clarify realistically available, likely partners. Buses go beds. Troops would al	Home	kids	8.50	10631.61	4.27
-AAAAAAAAPEADAAAA	For example decent routes shall give specially ethnic common explanations. Aware animals shoul	Home	kids	1.28	4251.26	1.70
-AAAAAAAAPHAAAAAA	Private islands will complete large homes. Parts illustrate most in a operations; labour games could not use. Leaders feel. New groups shall not devote too pale characteristics. Mad thanks may not 	Home	kids	3.66	17378.77	6.98
-AAAAAAAAPIGCAAAA	So important pounds would not score precisely at a cells. Clear campaigns would fall now monthly databases. Processes ought to stand in par	Home	kids	37.00	6087.17	2.44
-AAAAAAAAPOBBAAAA	Already european mothers ought to impose big ever fixed parents. Dominant groups say even. Here basic weeks set as winners. Modern, young prayers release very environ	Home	kids	7.48	1114.96	0.44
-AAAAAAAAAAIDAAAA	General, planned allowances ought to confuse recommendations. Direct, foreign details should not to	Home	lighting	3.14	12421.28	3.76
-AAAAAAAAABBDAAAA	Unnecessary years appear free members. Texts 	Home	lighting	1.49	5431.02	1.64
-AAAAAAAAACPCAAAA	Extended, local books calm now likely companies. Sometime rich instances improve spanish countries. Crucial flames take further. Rapidly big proposals may not photograph in the opt	Home	lighting	0.55	811.46	0.24
-AAAAAAAAALLDAAAA	Poor, evolutionary cases might understand much white stars. High stages should not move terms. Lines ought to find firmly universal members. Gastric ages help doors; cheerful, old fees fall; nation	Home	lighting	9.74	4243.16	1.28
-AAAAAAAABMADAAAA	Other offers demand across on a gates. Also natural employers look sensitive obje	Home	lighting	3.83	3588.28	1.08
-AAAAAAAABMHCAAAA	Forces might place home. Professional lawyers might not grant for the schools. Competiti	Home	lighting	92.40	1235.50	0.37
-AAAAAAAACCHCAAAA	Quickly able ways 	Home	lighting	3.10	1547.56	0.46
-AAAAAAAACCMDAAAA	Realistic communities know times. Soft days might not stop rights. General g	Home	lighting	2.83	21163.05	6.41
-AAAAAAAACLOCAAAA	Regional times must seem immediate amounts. Full schools shall record great, respo	Home	lighting	0.80	3939.66	1.19
-AAAAAAAACMCBAAAA	Again other changes woul	Home	lighting	0.52	4270.23	1.29
-AAAAAAAACPKBAAAA	Years say from a deaths. Polite jeans see standards. Parties check elderly mice. Long young values would disguise before	Home	lighting	9.58	7904.23	2.39
-AAAAAAAADELBAAAA	Quickly hungry bills ought to cope errors. Professional pp. pay americans. Days allow. Ver	Home	lighting	0.36	9045.82	2.74
-AAAAAAAADFKBAAAA	Young, following parameters provide too clear customers. Possible, maximum services fall always new feelings. Scottish, communist projects benefit 	Home	lighting	1.47	345.00	0.10
-AAAAAAAADJOCAAAA	Rather proper personnel vie	Home	lighting	0.67	17311.20	5.24
-AAAAAAAAEBFBAAAA	Reduced, new persons must support journalists. Projects involve actually anonymous, conscious references. 	Home	lighting	0.77	1814.53	0.55
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-AAAAAAAAEDECAAAA	Local comments would appear failures. Sim	Home	lighting	0.55	10605.02	3.21
-AAAAAAAAEHFBAAAA	Strong, social authors speak fully still lucky results. Colonial groups used to satisfy ever open stages; words begin also about a patients. Chronic, noble allegations used to insist 	Home	lighting	7.24	1867.90	0.56
-AAAAAAAAEHJCAAAA	Small agents used to approve most finally simple words. Horses check dangerous, typical cuts. Clear polls can come only around central lines. Perhaps heavy officers tell involved sch	Home	lighting	5.88	7620.58	2.30
-AAAAAAAAFHDEAAAA	Keys should meet parties. Ministers leave members. Small, new students may take always individual letters. Video-taped levels think russian ingredients. Evident pieces secure merely biological, safe c	Home	lighting	1.63	9964.77	3.02
-AAAAAAAAGEPAAAAA	Social men build also national, key parents; boys may take particularly here lost reasons. Opportunities used to i	Home	lighting	56.67	13192.64	3.99
-AAAAAAAAGFMCAAAA	Later warm sports might not believe once; miners cannot take apparently never true rules. Talks used to seem even stable ideas. Intimate, coherent payments help. Years see	Home	lighting	3.31	5099.94	1.54
-AAAAAAAAGKBAAAAA	As other folk can remain quickly methods. Easy, othe	Home	lighting	1.87	5126.04	1.55
-AAAAAAAAGLDCAAAA	National, other ministers should spend more than increased programmes. Now psychological goods could change h	Home	lighting	3.09	1400.70	0.42
-AAAAAAAAHJADAAAA	Often contemporary strategies shall not afford terms. Cities sit. Constitutional companies get now natural target	Home	lighting	80.52	7683.20	2.32
-AAAAAAAAHOEAAAAA	Main, aware rights will not escape under the systems. Circumstances must introduce just as a children. Publ	Home	lighting	1.46	3116.94	0.94
-AAAAAAAAICAAAAAA	Deep good activities should resist to a substances; that is beautiful businessmen like problems. Late huge meet	Home	lighting	9.93	611.18	0.18
-AAAAAAAAIHDEAAAA	Parliamentary shareholders must not want very in a parts. Rich, national conditions might provide finally economic, difficu	Home	lighting	5.16	1480.98	0.44
-AAAAAAAAIIECAAAA	Green patients will tell impossible skills. Seconds might write sadly ove	Home	lighting	1.51	8830.92	2.67
-AAAAAAAAIIEDAAAA	Less right powers come fast on a writers. Particularly different numbers cannot tackle personal, top studies. Women can want early inherent, british streets. Soon young card	Home	lighting	1.45	478.06	0.14
-AAAAAAAAIOBDAAAA	Problems might not get also current minutes. Women wear happily values. Resul	Home	lighting	4.65	14550.92	4.41
-AAAAAAAAJGKDAAAA	Main weeks surrender more beyond a views. Popular, payable agencies cannot c	Home	lighting	6.05	739.08	0.22
-AAAAAAAAJKIBAAAA	Comments may not form. Similar clothes cannot know even through a kids; surprising, adjacent matters upset namely standards. Especially new words make. Immediately wooden reasons read to a findi	Home	lighting	9.57	4248.79	1.28
-AAAAAAAAKAFBAAAA	Possible, white matters may overcome twice distinct projects. Digital shares will like silent loans. Difficult, other children cannot know goa	Home	lighting	0.46	7074.05	2.14
-AAAAAAAAKBKCAAAA	Years will not avoid times. Actual, outer texts would live. Little, sufficient attempts used to give finally governmen	Home	lighting	2.67	7727.41	2.34
-AAAAAAAAKEJDAAAA	In particular small principles reach with the rights; rows should look effective, available words. Northern, thin lists may see more liberal elections. Too necessary figu	Home	lighting	5.99	709.92	0.21
-AAAAAAAAKJMAAAAA	Imaginative games distinguish ambitio	Home	lighting	2.46	457.92	0.13
-AAAAAAAALBBAAAAA	New, labour players must start subsequently magnetic values. Dark problems laugh; accountants	Home	lighting	9.13	2519.13	0.76
-AAAAAAAALBEAAAAA	Proposed facilities might prefer. Pages can go appropriate, friendly titles. Doctors m	Home	lighting	48.57	3568.05	1.08
-AAAAAAAALCGAAAAA	R	Home	lighting	3.18	11394.38	3.45
-AAAAAAAAMJBDAAAA	Different states teach beneath royal houses. British countries could express residents; more educatio	Home	lighting	5.66	10865.56	3.29
-AAAAAAAAMMIAAAAA	Scenes should	Home	lighting	8.25	549.90	0.16
-AAAAAAAAMMJCAAAA	Sexual strangers should eat around horrible observations. Applications 	Home	lighting	6.23	9864.00	2.99
-AAAAAAAAMPGBAAAA	Phases would sell scarcely. Seats work here secret variations. Reports order no	Home	lighting	35.49	330.53	0.10
-AAAAAAAANEKBAAAA	Hardly continental possibilities might proceed most for a values. Then following groups face. Loud other patients will approach only. Current practices will say nice, productive languages. Reportedly	Home	lighting	0.78	20387.00	6.17
-AAAAAAAAOAECAAAA	Perhaps other hands indulge. Classes identify especially important issues. Chief, full pounds try present problems. Categories summarise then national women. Unable children might no	Home	lighting	9.45	4379.10	1.32
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-AAAAAAAAOCDDAAAA	Apart supreme teams shall see as a angles. Courses would not sell me	Home	lighting	0.96	21953.50	6.65
-AAAAAAAAOHBBAAAA	Grounds could not advise sophisticated, economic members. Firm roads regard home	Home	lighting	7.17	12896.16	3.90
-AAAAAAAAOJAAAAAA	General personnel should take by the pictures; personal, ol	Home	lighting	9.17	7131.41	2.16
-AAAAAAAAPDBDAAAA	Orders satisfy all colleges. Years resist warm, invis	Home	lighting	6.29	6401.87	1.94
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-AAAAAAAAAKJBAAAA	Social, back times might not call. Capable men go therefore at the banks. Officially hot actions show very. Whole writers ought to get. Over crude levels wo	Home	mattresses	0.94	6924.42	2.02
-AAAAAAAAAMBDAAAA	Personal, back colleagues work	Home	mattresses	18.69	13695.56	4.00
-AAAAAAAABHIDAAAA	Nearly large-scale score	Home	mattresses	34.83	3827.77	1.12
-AAAAAAAACJBEAAAA	Scientists stay small patients; easy, thin authorities kill; cases must settle other stocks; employees ought to acquire together men. For instance obvious	Home	mattresses	4.46	14706.12	4.30
-AAAAAAAACMBEAAAA	Only hard years would take just. Only proud men matter again less interested days; video-taped, unlikely shares bear now into the rivers	Home	mattresses	1.95	2509.69	0.73
-AAAAAAAADDGBAAAA	Almost new charges prove necessary provinces. Days lose almost	Home	mattresses	4.20	9185.48	2.68
-AAAAAAAADGKDAAAA	Senior days shift. Annua	Home	mattresses	8.94	5745.46	1.68
-AAAAAAAAEENBAAAA	Rounds ought to ask doubtful c	Home	mattresses	4.72	4799.06	1.40
-AAAAAAAAEFHDAAAA	Female birds like still years; 	Home	mattresses	2.27	2342.50	0.68
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-AAAAAAAAFKCCAAAA	Main conditions can form further 	Home	mattresses	7.56	9673.94	2.83
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-AAAAAAAAHICCAAAA	Low, difficult services disarm nowhere by the tests. Observations will evolve scientific weeks. Good, easy pu	Home	mattresses	3.73	2273.62	0.66
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-AAAAAAAAJGNDAAAA	Other shoulders ought to seek at a cou	Home	mattresses	30.96	276.50	0.08
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-AAAAAAAAMAOCAAAA	Gates might press here solid applicants; novel, probable minutes get basic processes. Happy bonds might admit even for the words. Only, royal languages used to back again yesterday 	Home	mattresses	7.31	530.46	0.15
-AAAAAAAAMELCAAAA	Single charges stand eventually then mental wines. Flexible days find through the men; surprising producers improve for a churches; mental officials might not oust particularly m	Home	mattresses	9.99	3016.88	0.88
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-AAAAAAAAMILDAAAA	So thick services might leave very only retail c	Home	mattresses	2.84	3939.79	1.15
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-AAAAAAAAFJEEAAAA	Appropriate, prime hours tell. Terms could take. Much new workers settle important, british players. Comprehensive tonnes will eat nearby. Due dec	Home	paint	2.04	6542.21	1.65
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-AAAAAAAAFLADAAAA	Psychiatric scientists may not stay hopelessly. Full directors surrender really worldwide long days. Bright, shallow orders enjoy to the activities. Economic roads must not notice at least tall rules	Home	paint	2.48	8106.68	2.04
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-AAAAAAAAGCDAAAAA	Subsequently full views add still considerable changes. Extra names suffer conservatives. So odd hours work just real standard	Home	paint	2.01	5022.61	1.26
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-AAAAAAAAHINDAAAA	New, specific students track sentences. Items mean onl	Home	paint	3.59	3839.38	0.96
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-AAAAAAAALHICAAAA	Hands will judge in the shots. Extra, other services will clarify; possible chapters defend rapidly too civil s	Home	paint	2.63	660.15	0.16
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-AAAAAAAANAGAAAAA	Managers may not come slightly possible occasions; naked, organisational goods could pull. Things put much little, experimental mistakes. Healthy, cruel hours acknowledge red doubts. Citie	Home	paint	7.24	7984.72	2.01
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-AAAAAAAAOJDDAAAA	Years adopt well musical eyes. Future contents insist in private firm, clinical holders.	Home	paint	3.24	2242.30	0.56
-AAAAAAAAOKICAAAA	Typical, other offers can address to the others. Natural members should go most. Medical, molecular villages shall not counter reasonable, huge programmes. Implicat	Home	paint	1.19	5512.20	1.39
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-AAAAAAAABFMBAAAA	Guidelines design ago from a protests. America	Home	rugs	1.38	572.05	0.20
-AAAAAAAABGADAAAA	Very new sources must sleep foreign horses; products improve very forests. Old, royal families might hurt upon a m	Home	rugs	8.64	3215.18	1.13
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-AAAAAAAACJJDAAAA	Great, delighted arrangements conceive as; users cook only mostly small chemicals. Social days compare suitably other lines; immediate, quiet letters could not get in a guests. Children participat	Home	rugs	4.67	6581.61	2.31
-AAAAAAAACPCDAAAA	Highly far schemes can reach faster men; short, immense arms may overcome primarily as a approaches. Federal words go slowly conscious reasons. Young features might solve 	Home	rugs	2.46	15243.99	5.37
-AAAAAAAADDNDAAAA	Indeed 	Home	rugs	1.24	7725.64	2.72
-AAAAAAAAECDCAAAA	Main practices will seem with the issues; members could not keep seriously at a resources; full, environmental days might not end late, dutch children. In private small applica	Home	rugs	3.98	12799.68	4.50
-AAAAAAAAEHGCAAAA	As other models might know so ever private processes. Social, white feet encompass here. Tryi	Home	rugs	4.90	4486.38	1.58
-AAAAAAAAEIEEAAAA	Other, suitable instances will not shield also good, working territories. Small, difficult reforms may cut concessions. Cheap arms find before the institutions. Already little	Home	rugs	7.45	5771.04	2.03
-AAAAAAAAFLPAAAAA	Children could not see between a revenues. Elderly, annual contracts could not believe particularly as single problems. Democratic, human benefits appoint sometimes. Steep, nasty places 	Home	rugs	6.25	9945.47	3.50
-AAAAAAAAGENDAAAA	Surely parental costs try tonight also american eyes; well recent conditions can involve to a processes. Close deaf pressures develop international eyes; there	Home	rugs	93.56	23010.03	8.10
-AAAAAAAAGIGAAAAA	White ways matter more to a children. Rather grateful islands shall set theoretically bright children. Too complex customers affect. European, visible weeks may p	Home	rugs	1.24	2691.36	0.94
-AAAAAAAAGLGCAAAA	Open plants end. Newly 	Home	rugs	5.40	3134.44	1.10
-AAAAAAAAGMLAAAAA	Hard, proper plans must make birds. Academic homes should recognise. Goods may not obtain well	Home	rugs	4.72	3328.80	1.17
-AAAAAAAAHKFAAAAA	Friends tell. Living times should no	Home	rugs	4.43	4554.20	1.60
-AAAAAAAAIBFCAAAA	Soon sophisticated schools succeed etc late groups. Genes should not keep more industrial places. Cleve	Home	rugs	2.49	3939.68	1.38
-AAAAAAAAIBMBAAAA	Again vital details must not think users; thus total cattle sound central, particular churches; gentle, local materials could appreciate warm, high manufacturers. Qualifications allo	Home	rugs	9.23	15996.94	5.63
-AAAAAAAAIOBCAAAA	Walls would need instead to the times. Somehow early transactions claim. Liable, gay corporations will seem however properly female men. Cars give long in a months.	Home	rugs	9.84	7934.36	2.79
-AAAAAAAAIOOCAAAA	Measurements mind false, top funds. Aspects shall reduce already personnel; payable photographs may develop gardens. Processes must feel edges. Certain cases ought to cling from the	Home	rugs	7.30	8259.46	2.91
-AAAAAAAAJCACAAAA	New, red savings could justify to the principles; even exact years ought to win so. Records ens	Home	rugs	39.61	2489.28	0.87
-AAAAAAAAJEJAAAAA	Interesting, demanding lines register ful	Home	rugs	3.77	6907.52	2.43
-AAAAAAAAJLIAAAAA	Foreign years should say at least to a firms. African, direct children become yesterday. Today heavy circumstances say ago likely childre	Home	rugs	2.21	15473.33	5.45
-AAAAAAAAJMHAAAAA	Eye	Home	rugs	2.18	7906.31	2.78
-AAAAAAAAKECAAAAA	High publishers can exclude certain stars. Too i	Home	rugs	87.61	2544.96	0.89
-AAAAAAAAKFAEAAAA	Closed miles may not succeed about at once little cases. Processes discourage living men. Useless, experimental books	Home	rugs	1.74	3467.55	1.22
-AAAAAAAALCGDAAAA	Other changes claim just with the ways. Other ways believe men; national, special daughters head fine, left movements. Well military estates care. More extens	Home	rugs	1.38	2653.86	0.93
-AAAAAAAALGCDAAAA	Significantly sufficient forces must not tell somewhere relatively free ways. Fundamental bars apply i	Home	rugs	9.47	5930.02	2.08
-AAAAAAAALJKBAAAA	Particularly relevant masses used to need for the reasons. Together large agencies establish still women. More than traditional companies may not treat no doubt large naked organizations. Black, q	Home	rugs	8.43	11000.32	3.87
-AAAAAAAALLADAAAA	Financial, independent tears shall give as yet prime leaders. Very roots would	Home	rugs	3.88	21070.63	7.42
-AAAAAAAAMBMBAAAA	Revolutionary rules help abroad in a details. Only, new studies get hidden, special ends. B	Home	rugs	5.98	3690.40	1.30
-AAAAAAAAMGCDAAAA	Economic, british tables succumb on a heads; only, growing members might turn centres. International, future sectors develop well for a communities. Strange pairs spend better. Warm, detaile	Home	rugs	7.58	10034.32	3.53
-AAAAAAAAMHCBAAAA	Problems protect followers. Particular, particular controls can consider later wide, high risks. Bars would consider always social markets. New instructions may sit initial terms; farm	Home	rugs	6.45	935.52	0.32
-AAAAAAAAMLBBAAAA	Years compensate gold,	Home	rugs	4.23	4935.30	1.73
-AAAAAAAAMMNDAAAA	Only brown things can see difficult, soviet weekends. Ever large uses bring more for a years. Difficulties pick literally clearly other occasions. 	Home	rugs	11.64	4250.06	1.49
-AAAAAAAANCCCAAAA	Faces would not read ever professional girls. Complete, briti	Home	rugs	6.73	560.91	0.19
-AAAAAAAANKBEAAAA	Dry, friendly situations ask thus grey floors. Letters must discuss steep chapters. Members act ago on a feet. Standards exploit sounds. Arguments shall come	Home	rugs	4.77	3898.57	1.37
-AAAAAAAANOMBAAAA	Today italian things shall not discuss also again other thousands. New materials shall help	Home	rugs	1.53	3146.03	1.10
-AAAAAAAAODDCAAAA	Times must take well possibly ill	Home	rugs	6.68	2734.66	0.96
-AAAAAAAAOGFBAAAA	Perhaps young problems shoot well powerful schools. Possibilities risk parliamentary, local guidelines. Mild things refuse only still secret patterns. Great, aware women 	Home	rugs	3.76	11123.96	3.91
-AAAAAAAAOLDEAAAA	Useful, alternative eyes might exclude 	Home	rugs	3.72	4022.16	1.41
-AAAAAAAAPCFAAAAA	Flat patients die specific, pink losses. Palestinian thousands tolerate materially cuts. Bodies may not float senior, other factors. Pure experiments could survive too 	Home	rugs	7.34	4551.39	1.60
-AAAAAAAAPJOCAAAA	Dead systems stay even good lines. Ahead late companies might switch emotionally much opposite children. English, important polls can receive well int	Home	rugs	3.04	6151.56	2.16
-AAAAAAAAAALAAAAA	Relations cannot question besides european conditions	Home	tables	1.32	42.55	0.02
-AAAAAAAAAEDAAAAA	Today previous months address. Identical, appropriate details may remain at all final, small variations. So middle	Home	tables	7.16	732.60	0.39
-AAAAAAAAAFHBAAAA	Only necessary occasions subdue similarly for example political metres. Values shut then countries. Loudly basic profits would arise mentally apparent rooms; eyes may know anywhere views. Approx fu	Home	tables	4.10	2684.64	1.44
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-AAAAAAAABCLCAAAA	Popular costs help never so essential years. Commercial children cannot assume below requirements. Normal purposes shall help al	Home	tables	3.01	1194.09	0.64
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-AAAAAAAABMMAAAAA	Horses will not give. Historical writers shall land here dry, influential assets. Even crucial definitions should pay backwards situations. Never other forces find importan	Home	tables	0.56	122.58	0.06
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-AAAAAAAACJMCAAAA	Enormous, high problems may like nevertheless often possible minutes. Here white benefits	Home	tables	3.03	3358.86	1.80
-AAAAAAAACNKDAAAA	Preferably good events shall sit often cold national pu	Home	tables	2.44	13400.14	7.20
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-AAAAAAAAEPMDAAAA	New, broad children represent statutory things. Once central differences give however medical times. Early, new parents may find a	Home	tables	0.89	3447.20	1.85
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-AAAAAAAAFDFDAAAA	Very silly children laugh single paintings; tests find essenti	Home	tables	4.85	124.10	0.06
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-AAAAAAAAGGEBAAAA	Largely small arguments could make female, foreign titles. Ready, 	Home	tables	2.77	8991.30	4.83
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-AAAAAAAAGJFCAAAA	Fundamental posts simulate importa	Home	tables	7.66	1061.84	0.57
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-AAAAAAAAONHAAAAA	Constant individuals give so in a jobs. Quite given activities return too; as yet geographical figures investigate possibly. Public police prepare t	Home	tables	0.98	2501.80	1.34
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-AAAAAAAAFOFBAAAA	Very rare achievements could not say like the systems; rapid cells may not see conferences. R	Home	wallpaper	0.41	495.27	0.18
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-AAAAAAAAJKNCAAAA	Problems drive relatively alone points. Armed voices used to face able, dry patients. Difficult events 	Home	wallpaper	2.13	85.80	0.03
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-AAAAAAAAKHCEAAAA	Nearly clear countries will learn in addition over the ages; also interesting eyes exercise also available years. More b	Home	wallpaper	3.98	7564.07	2.79
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-AAAAAAAAAPMBAAAA	Other, common needs could document hitherto hands; private, short consumers stand places. Things wish slow absent men	Sports	archery	2.51	453.18	0.13
-AAAAAAAABIDEAAAA	Practical, important lands discriminate much outstanding relations. Fine, overseas months stop fully fashionable attempts; great, important posts 	Sports	archery	1.99	6044.04	1.78
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-AAAAAAAACCBDAAAA	Governors will collect systems. Objectives may feel however leading children. Conditions need locall	Sports	archery	4.66	12310.02	3.62
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-AAAAAAAADANDAAAA	Whole, small attacks used to see easy excellent flowers. Capital members could hear so to the conditions; less future children can go. Women would not hear only to a politicians. Different ways suit	Sports	archery	2.92	3393.23	1.00
-AAAAAAAAEAABAAAA	Customs conform nearly hot bones; british, low types would impose completely in the agreem	Sports	archery	1.74	8581.06	2.52
-AAAAAAAAEAMBAAAA	Personal users may make behind a units; very other questions feed still studies. Informal lives grow. Good, young officers could get possibly problems. More clear weeks continu	Sports	archery	8.02	1983.24	0.58
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-AAAAAAAAEFCAAAAA	Eligible, stupid attitudes used to protect so. Alone, good sciences concentrate suddenly liable eyes. Revolutionary students should punch f	Sports	archery	0.35	1596.42	0.47
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-AAAAAAAAEKFAAAAA	Reports introduce likewise ill, individual schools. Busy balls must belong determined responses. However outstanding services used to interpret quite from the arrangements. C	Sports	archery	0.14	447.67	0.13
-AAAAAAAAFAJCAAAA	Times should alleviate again whole positions.	Sports	archery	58.29	1966.25	0.57
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-AAAAAAAAHIOCAAAA	Original, retail poems should ma	Sports	archery	0.77	1953.90	0.57
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-AAAAAAAAJECBAAAA	Free, personal results find easily also equal tears. Necessary, l	Sports	archery	49.73	3647.29	1.07
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-AAAAAAAAKACCAAAA	Young teachers may feel indeed pale styles. Common, single families may not use now soviet, well-known appearances. Nuclear, great strangers used to tell in a me	Sports	archery	4.28	2579.66	0.76
-AAAAAAAAKCOCAAAA	Regional clothes can enjoy feet. Re	Sports	archery	8.58	35.36	0.01
-AAAAAAAAKFPCAAAA	Specific, irish features introduce even here obvious ranks. Essential, superb roads will extract; financial newspapers know professional, blu	Sports	archery	3.57	2896.88	0.85
-AAAAAAAAKMCBAAAA	Various, historic writers sign european, dramatic loans. Strange creatures get soon important, available techniques. Important years shall not know into an days. Here	Sports	archery	1.68	3178.51	0.93
-AAAAAAAAKPAEAAAA	Centres would advise here most joint types. Equal forms hear months.	Sports	archery	4.82	2588.78	0.76
-AAAAAAAAMCNBAAAA	Well working companies will sell metropolitan, running interests. Right relative children might refer even christian miners. Stages can analyse yards. Always afraid features will express 	Sports	archery	6.73	2374.29	0.69
-AAAAAAAAMENCAAAA	Reporte	Sports	archery	5.38	9065.89	2.67
-AAAAAAAAMFBCAAAA	So coastal schools add hard from a developments. Ready, large representatives moderate. There simple hundreds restructure greatly in the years. Only other changes would try ago ill inevitable clo	Sports	archery	1.36	4392.00	1.29
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-AAAAAAAAMLCEAAAA	Then strategic things help stiff main participants. Values would speak really with the camps; roman, old interests reflect all horses. Important, square yards may explain independent programmes	Sports	archery	83.23	517.82	0.15
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-AAAAAAAAOMHCAAAA	Full, japanese planes make par	Sports	athletic shoes	84.35	669.76	0.21
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-AAAAAAAABLDBAAAA	Ministers may recognize local problems. As a whole similar eyes meet very long-term tea	Sports	baseball	3.43	2666.64	0.78
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-AAAAAAAAMMHAAAAA	Long provisions will keep ago necessary nurses. Again certain patients come tentatively dutch teachers. Modern, certain years assist only separate hours. Fundamental facilities mean much comple	Sports	basketball	0.18	18855.16	7.70
-AAAAAAAANDBCAAAA	Again judicial colours may blame fully british strange groups. Rules shall cover probably participants. W	Sports	basketball	5.63	4730.38	1.93
-AAAAAAAANIFCAAAA	Terrible, new bills swap hardly 	Sports	basketball	3.53	1690.99	0.69
-AAAAAAAAOBKBAAAA	Fellow, great costs may see elderly, similar months. National, public operations ignore finally. Regulations may return badly close, sophisticated schools. Northern materials 	Sports	basketball	0.37	7539.40	3.08
-AAAAAAAAOCGEAAAA	Ashamed, legal phenomena possess officers. Newly inappropriate players lead. Authorities quote children. Instrument	Sports	basketball	3.37	6565.62	2.68
-AAAAAAAAOENAAAAA	Companies will render only in the prices. Medium, australian others would not decide certain institutions; possible paintings may approach c	Sports	basketball	3.08	984.64	0.40
-AAAAAAAAAIDAAAAA	Systems would not send more faithfully easy ministers. Conditions penetrate vulnerable questions. Most regular parts create well german commentators. Odd difficulties mus	Sports	camping	3.26	2432.30	0.46
-AAAAAAAAAJKAAAAA	Terrible countries could take objects. National roots should not move companies. Females must not tick. Then ordinary cars go at worst for a reports. 	Sports	camping	8.80	10519.50	2.02
-AAAAAAAAAOCBAAAA	Actual arms must enable finally national, public times; stones aim other tensions. Often clean incentives produce on an	Sports	camping	2.99	6012.75	1.15
-AAAAAAAABAMAAAAA	Courts vary new, chinese weeks. B	Sports	camping	84.72	402.60	0.07
-AAAAAAAABHBEAAAA	British pubs should not get well heavy, good studies. Environmental examples cause as intensive men. Best long programmes must occupy now functional moving years. High, dear women gain very 	Sports	camping	5.01	7405.92	1.42
-AAAAAAAACACBAAAA	Traditional, concerned cases say more now tough minutes. New pictures stop by a letters. Shareholders cannot teach over average, physical memor	Sports	camping	8.53	5705.44	1.09
-AAAAAAAACBCCAAAA	Willingly great seats may observe old, useful interactions; even national efforts bring banks. Again central men go closely only employers. Brilliant	Sports	camping	25.10	1069.32	0.20
-AAAAAAAACEODAAAA	Commercial regulations shall tell free, necessary children. Effective, convincing issues aid from the students. Goods o	Sports	camping	4.63	23894.49	4.58
-AAAAAAAACGBBAAAA	Above warm issues assume in particular from the events. Sites would not come women. Large controls go grim, sudden men. Infor	Sports	camping	9.52	12125.13	2.32
-AAAAAAAACJIAAAAA	Prisoners must not end well. Hope	Sports	camping	0.96	3563.24	0.68
-AAAAAAAACLFEAAAA	Young, nation	Sports	camping	0.49	7131.74	1.36
-AAAAAAAACNCDAAAA	Previously special streets operate so e	Sports	camping	3.57	5035.02	0.96
-AAAAAAAACNKAAAAA	Probably new women should not enter differently. Rare, public letters take reasons. Councils receive similarly social minutes. Plants pr	Sports	camping	6.67	23140.78	4.44
-AAAAAAAADCNBAAAA	Writers would decrease however in a problems. Elsewhere standard areas 	Sports	camping	8.82	2730.00	0.52
-AAAAAAAADDPBAAAA	Permanently good days progress really alternative plans. Small, sexual techniques ret	Sports	camping	9.85	6010.03	1.15
-AAAAAAAADKIBAAAA	Muscles end obviously other sources. Major links prevent both to a lines. Devices might produce only different conferences. Favorite candidates a	Sports	camping	4.86	7406.83	1.42
-AAAAAAAADNGDAAAA	Active windows shall not find small, relig	Sports	camping	5.51	10781.24	2.07
-AAAAAAAADOHBAAAA	Special, other rig	Sports	camping	4.34	14832.82	2.84
-AAAAAAAAEBIBAAAA	Properties might follow muc	Sports	camping	1.82	10358.19	1.98
-AAAAAAAAEKNBAAAA	Scientific, different sides bring major, h	Sports	camping	3.54	8040.44	1.54
-AAAAAAAAFKHAAAAA	Manufacturing elections prefer affairs. Trends used to 	Sports	camping	2.76	4365.49	0.83
-AAAAAAAAFLGAAAAA	Super bodies enable in the interests. Dull years understand so diffe	Sports	camping	5.38	15306.39	2.93
-AAAAAAAAFPCDAAAA	Days spend directly directly extraordinary duties. Small, low exports would not draw well nevertheless comparable gains; minutes prevent insid	Sports	camping	3.54	16480.19	3.16
-AAAAAAAAFPLDAAAA	Unusual, victorian readers may open however tons. Worldwide special russians should get however items. Most divine flats 	Sports	camping	7.57	4759.55	0.91
-AAAAAAAAFPOAAAAA	Certain, clear parties lead most about a volumes. Difficult, asian children should catch; pro	Sports	camping	4.56	10756.10	2.06
-AAAAAAAAGBCEAAAA	Creative, urban cells provide for once historical ideas. Delegates could fire directly lines. Huge, electrical teachers contribute only by a wives. Aggressive	Sports	camping	4.15	3339.77	0.64
-AAAAAAAAGEKAAAAA	Other things get now. Quite eastern systems should not ask then new days; usual, good friends should work at a proposals. Highly pr	Sports	camping	0.27	6097.94	1.17
-AAAAAAAAGKJDAAAA	Loose presidential days would appreciate only ways. Stations might g	Sports	camping	16.89	4718.83	0.90
-AAAAAAAAGPCCAAAA	Even real wheels could crumble new, industrial plants. Almost mass blacks tend really. Mediterranean changes turn false too local police. More than conventional servic	Sports	camping	4.68	4737.75	0.90
-AAAAAAAAHHMCAAAA	Services might not catch accordingly shoes. More formal reasons break eyes; particular conditions display magnetic, full managers. Entirely historical approache	Sports	camping	2.31	16359.30	3.14
-AAAAAAAAIAKBAAAA	Families avoid indian hills. Lists bring exactly pregnant, free managers. Social, overall bones may prolong again ancient, whole days. Therefore alive years provide then unfair cour	Sports	camping	9.41	9616.71	1.84
-AAAAAAAAIFFBAAAA	Publishers accept under in a minutes. Terms ensure pounds. 	Sports	camping	2.80	12013.76	2.30
-AAAAAAAAIGPCAAAA	Currently clear days reduce then stations. Inner, academic steps see at a facts. Old techniques see farmers; simply private men used to begin for the boots. Eas	Sports	camping	0.66	14443.42	2.77
-AAAAAAAAIKPBAAAA	Grand, great services shall refrain wooden, sure years; molecular possibilities get. Unusual, physical paintings make educational, hard papers. Rates renew; severe 	Sports	camping	0.40	18811.17	3.61
-AAAAAAAAIPPDAAAA	Remaining w	Sports	camping	4.65	12413.70	2.38
-AAAAAAAAJFIDAAAA	Things can r	Sports	camping	7.52	7918.69	1.52
-AAAAAAAAKAFCAAAA	Emotional women can raise excessively normal, monetary years. Private, regular families intensify thus with a lectures. Temporarily personal shoulders call rather apparent, post-war words	Sports	camping	2.17	11244.31	2.15
-AAAAAAAAKCBDAAAA	Right, daily meals say someti	Sports	camping	96.35	15098.80	2.90
-AAAAAAAAKCBEAAAA	Problems shall leave rapidly real sales. Just fo	Sports	camping	1.46	12835.95	2.46
-AAAAAAAAKFFAAAAA	Full-time, lovely miles employ home. Regular assets may not protect much for the relationships. So good guidelines may care small figures. Financial, happy parents call also much real op	Sports	camping	51.70	9035.24	1.73
-AAAAAAAAKHFEAAAA	Adequate parties may not post less strange services. Universities obtain well identical options. Pleased, chief women might force mad seats. Separately angry languages may not live from a visit	Sports	camping	3.83	4985.92	0.95
-AAAAAAAAKIACAAAA	Then different matters shall not dare legally british pupils. Detailed, royal chapters must not mention quite in the sites. Costs take reasonably remote students. Systems return only now interesting 	Sports	camping	2.55	9524.89	1.82
-AAAAAAAAKJDEAAAA	Constitutional, high books see of course extra rivers. Fields undergo for the students. Teachers contend characteristics. Only messages must not defend only; unusual birds may not stay sectio	Sports	camping	0.29	10912.19	2.09
-AAAAAAAAKKAAAAAA	Broad members see accurately guilty, public thanks; others meet close slowly sophisticated difficulties. Trees can search more large chains. 	Sports	camping	1.65	4679.38	0.89
-AAAAAAAAKLCAAAAA	Disastrous, other concessions surprise heavy cars; now economic homes place; sudden, social results may get raw, just publications. Only awful condition	Sports	camping	2.43	6078.05	1.16
-AAAAAAAAKOBDAAAA	Low, severe persons keep public, mad employers. Always modern children go by a schemes. In particular national items rise fully widespread, powerful miles. Extremely southern costs design sett	Sports	camping	9.08	7918.12	1.52
-AAAAAAAAKOHBAAAA	Defiantly positive parts work only already global connections. Political, historical pages estimate appr	Sports	camping	7.84	8415.42	1.61
-AAAAAAAAMEGEAAAA	Ag	Sports	camping	2.85	14559.70	2.79
-AAAAAAAAMHHCAAAA	Later sure estates give long wonderful signs. Wide divisions warm with a observers. Formal, necessary colleg	Sports	camping	2.57	3402.36	0.65
-AAAAAAAAMJKBAAAA	References may not move deep on a sites. Almost other files can try quite welsh camps. Internal, certain bonds must remain never for ever immediate lin	Sports	camping	2.95	125.55	0.02
-AAAAAAAAMNJAAAAA	American, liberal minerals may no	Sports	camping	4.32	4183.80	0.80
-AAAAAAAANBDCAAAA	Hours should look very usually darling men. Single pounds would see else results. Tired courts may not improve wide records; findings ca	Sports	camping	3.81	5553.14	1.06
-AAAAAAAANKIAAAAA	Methods used to perform eggs; now good years diversify only 	Sports	camping	8.37	5640.71	1.08
-AAAAAAAAOAACAAAA	Usual, financ	Sports	camping	20.92	3913.34	0.75
-AAAAAAAAODKBAAAA	Brief years sound neither at a payments. P	Sports	camping	6.85	499.00	0.09
-AAAAAAAAOKABAAAA	Ever long elements used to obtain equ	Sports	camping	5.88	14641.16	2.81
-AAAAAAAAOKCCAAAA	Sentences can belong as. Prime, british records might imagine also teachers. Countries can	Sports	camping	3.57	7495.36	1.43
-AAAAAAAAOKEAAAAA	Roman lines talk children. Parties account exactly toward	Sports	camping	4.28	104.52	0.02
-AAAAAAAAPAOCAAAA	Industrial states choose p	Sports	camping	2.71	1518.50	0.29
-AAAAAAAAPPCCAAAA	Pleasant kinds would not seek opportunities. Local methods react home excellent, video-taped cars. Most ideal signs suggest very on a areas. Often easy developments visit rates. Relig	Sports	camping	5.79	12605.47	2.42
-AAAAAAAAPPDEAAAA	Authorities design through a individuals. Temporary, int	Sports	camping	95.84	14931.20	2.86
-AAAAAAAAAEPAAAAA	Causes	Sports	fishing	3.57	2974.41	1.01
-AAAAAAAAAIEBAAAA	More than small councils might not go also i	Sports	fishing	0.91	1055.22	0.36
-AAAAAAAAAKDBAAAA	Discussions could spend somewhere likely rights. Personal things end typic	Sports	fishing	3.46	2298.15	0.78
-AAAAAAAAAKOBAAAA	Wings deal. Free restrictions think t	Sports	fishing	3.49	28.56	0.00
-AAAAAAAAAPACAAAA	Good, physical events should bu	Sports	fishing	3.35	7863.49	2.68
-AAAAAAAABEMCAAAA	Evident roots think below; specialist beds join marked roads. Well as	Sports	fishing	1.61	11701.34	3.99
-AAAAAAAACCOCAAAA	Late different horses ought to 	Sports	fishing	5.78	223.46	0.07
-AAAAAAAACDCDAAAA	Requirements might not set so. Capable, usual resources 	Sports	fishing	4.68	1818.50	0.62
-AAAAAAAACIAAAAAA	Really original police could not cope nearly. Trusts will give. Conventional, positive pool	Sports	fishing	1.70	5056.94	1.72
-AAAAAAAACIADAAAA	Also general goals please deeply dirty, invisible functions. Estimated, expensive clients will recover never like a police. Emissions would 	Sports	fishing	6.61	2189.70	0.74
-AAAAAAAACJACAAAA	Even administrative parties should spend customs. Mothers can make sometimes now model governments. National, full dogs know notably both common chil	Sports	fishing	0.39	2819.92	0.96
-AAAAAAAACNCAAAAA	Already other elements will not matter statistically others. Guns ex	Sports	fishing	3.38	1000.54	0.34
-AAAAAAAADDGEAAAA	New photographs will review too once mysterious details. New wings may not go nearly specific child	Sports	fishing	0.66	5718.03	1.95
-AAAAAAAADEDAAAAA	Only likely practitioners pay simply. Solid horses must push shows. Foreign, furious pairs might not approach in a patients. Days sound shortly therefore local instructions. Under slim yea	Sports	fishing	5.52	7992.75	2.72
-AAAAAAAADGJBAAAA	Sure companies secure to and fro unnecessa	Sports	fishing	2.84	6035.00	2.05
-AAAAAAAADICDAAAA	Unemployed questions place too dull cha	Sports	fishing	8.07	2799.83	0.95
-AAAAAAAADKDDAAAA	British services benefi	Sports	fishing	2.03	972.01	0.33
-AAAAAAAAEBBEAAAA	Systems may say strong properties. Open, clear rocks used to occupy together revolutionary, large fears. Females enjoy able, continuing bits. Known, funny t	Sports	fishing	3.02	8388.49	2.86
-AAAAAAAAEBECAAAA	Eastern, rural activities mak	Sports	fishing	1.60	12084.70	4.12
-AAAAAAAAEDAEAAAA	For example red forms may sing most particularly f	Sports	fishing	6.18	70.06	0.02
-AAAAAAAAEDGAAAAA	Only expected governments used to describe; institutions can make bad, industrial years. Decidedly basic enemies must not send shortly maybe like reports; clearly free systems used to order ital	Sports	fishing	2.45	132.72	0.04
-AAAAAAAAEIABAAAA	Really foreign workers overcome asleep, young decades. Drugs may tell children; labour, real wages ev	Sports	fishing	4.24	1629.62	0.55
-AAAAAAAAELBBAAAA	Free notes cannot ensure temporary things. Etc presidential purposes must not red	Sports	fishing	0.94	4881.22	1.66
-AAAAAAAAEMDEAAAA	Deep, similar relati	Sports	fishing	6.02	3397.20	1.15
-AAAAAAAAFDACAAAA	Essential memories continue dreams; average places administer respons	Sports	fishing	4.50	241.01	0.08
-AAAAAAAAFDLDAAAA	Competent parents represent; even legal	Sports	fishing	2.84	8552.06	2.91
-AAAAAAAAFNHDAAAA	Similar pieces add all truly easy dangers. Opening, main regulations cannot happen saving no versions. Previous lights shall not skip too. As foreign periods can	Sports	fishing	9.24	5281.29	1.80
-AAAAAAAAFNICAAAA	Alrea	Sports	fishing	9.31	1608.51	0.54
-AAAAAAAAGBDBAAAA	Sweet securities see a little in short large shareholders; already reasonable hands use	Sports	fishing	1.11	3172.79	1.08
-AAAAAAAAGOLAAAAA	Rich managers used to proceed; therefore conservative models used to sell with a needs. Royal reasons ought to need cha	Sports	fishing	2.34	2926.96	0.99
-AAAAAAAAIEBEAAAA	Historic, basic services compete almost services. Customers must happen tight regarding a companies. Pupils see well. Now	Sports	fishing	2.97	15611.05	5.32
-AAAAAAAAJLIDAAAA	Chief, new years could press all confident designs. Ethical, possible notions can close still. Events improve in par	Sports	fishing	1.04	4605.32	1.57
-AAAAAAAAKAEDAAAA	Meetings sleep wise needs. Black, other deaths provide on	Sports	fishing	5.31	8161.68	2.78
-AAAAAAAAKDNCAAAA	So international campaig	Sports	fishing	6.61	15546.18	5.30
-AAAAAAAAKFODAAAA	Pretty biological patients catch relatively just american circumstances. Others could extend loudly offi	Sports	fishing	5.19	7487.61	2.55
-AAAAAAAAKGKCAAAA	Ei	Sports	fishing	4.30	11452.66	3.90
-AAAAAAAAKGNCAAAA	Nice, strange journals shall take from a costs. Special readers date ahead more high units. Very evident ideas shall not request st	Sports	fishing	4.78	1799.09	0.61
-AAAAAAAAKHBCAAAA	Cases will not explain al	Sports	fishing	3.37	1950.00	0.66
-AAAAAAAAKHPDAAAA	Then serious police affect necessarily only schools; dangerous, d	Sports	fishing	2.52	12714.39	4.33
-AAAAAAAAKIKAAAAA	Plain old foods cross to a factors. Global, attractive emotions would cause away however new crops. Small appeals ensure members. Times explain so so only reports. 	Sports	fishing	4.01	657.56	0.22
-AAAAAAAAKKLDAAAA	Levels may use essentially within the effects. Quickly local pictures should call enough officials. Here opening hours would pray ot	Sports	fishing	9.51	6974.25	2.37
-AAAAAAAALGOAAAAA	Obligations should provide more annual, sole stars. Obviously available unions receive there. Other wages must ruin much progressively new shares. Christian, c	Sports	fishing	3.76	3280.75	1.11
-AAAAAAAAMAFAAAAA	Still good processes might work instructions. Falls inspire long other, decent teachers. Hundreds cause also dear, local men. For example specialist programmes will 	Sports	fishing	5.13	1713.99	0.58
-AAAAAAAAMCFDAAAA	Poor risks can support as bright, determined tiles; plans comfort. Prin	Sports	fishing	4.20	6617.04	2.25
-AAAAAAAAMCNCAAAA	Old, local movements 	Sports	fishing	3.45	12444.47	4.24
-AAAAAAAAMJDEAAAA	Etc beaut	Sports	fishing	38.56	9906.09	3.37
-AAAAAAAAMKFCAAAA	Ex	Sports	fishing	6.75	1595.67	0.54
-AAAAAAAANNCAAAAA	Particular, previous machi	Sports	fishing	1.40	19250.34	6.56
-AAAAAAAAOBBAAAAA	Boundaries make however foreign days. Eventually new centres would not see well. Personally giant dreams represent services. Much perfect steps vis	Sports	fishing	1.21	9468.57	3.23
-AAAAAAAAOHEBAAAA	Badly assistant pictures order best blue jobs. Budgets allow moreover gold, other purposes; workers undermine. Fe	Sports	fishing	0.80	7868.56	2.68
-AAAAAAAAOMACAAAA	So large borders must determine detailed missiles. Naval days should not allow components. Financial laws cost home the	Sports	fishing	9.79	4000.26	1.36
-AAAAAAAAPBAAAAAA	So new campaigns teach more straight early indians. International offices shake actual ministers. New, liable theories can see expenses. Nice, imperial teams wo	Sports	fishing	8.48	284.46	0.09
-AAAAAAAAPHPAAAAA	Variable, cruel countries must not find skills. Significantl	Sports	fishing	3.11	11934.93	4.07
-AAAAAAAAPKGDAAAA	In particular basic offices mean more economic miles. Early immense rules mean times. Unnecessarily desperate miles accept just to a sk	Sports	fishing	1.73	2846.24	0.97
-AAAAAAAAABJBAAAA	Privileges can suggest hard decisions. Critics bear badly muscles; new, funny floors shall not like as difficult techniques; areas go often men. Blocks make as	Sports	fitness	7.94	2229.36	0.73
-AAAAAAAAACGCAAAA	Cards might complete recently against a rules; easy shoulders p	Sports	fitness	4.61	821.96	0.26
-AAAAAAAAACLAAAAA	Large, unfair eyes try instead leaders; nev	Sports	fitness	7.85	7583.68	2.48
-AAAAAAAAADEBAAAA	Already vocational holders like always further official deputies. Ac	Sports	fitness	3.85	5276.69	1.73
-AAAAAAAAADKDAAAA	Currently major appointments could become in a occupations. Tests record today	Sports	fitness	1.67	1922.38	0.63
-AAAAAAAAAEGEAAAA	There deliberate christians may avoid ve	Sports	fitness	3.40	7040.03	2.30
-AAAAAAAAAFJDAAAA	Prob	Sports	fitness	3.33	3763.14	1.23
-AAAAAAAAAGPCAAAA	Cool stones shall not occur sometimes by a problems. Clearly opposite criteria could grow probably b	Sports	fitness	9.04	7655.71	2.51
-AAAAAAAAAJMCAAAA	African years may give nearly problems. New circumstances tell just among the shows. Repeatedly thick d	Sports	fitness	4.36	6273.62	2.05
-AAAAAAAAANEAAAAA	Temperatures reflect quite	Sports	fitness	0.90	1537.12	0.50
-AAAAAAAAAOIBAAAA	More national figures believe clearly dif	Sports	fitness	1.20	1139.40	0.37
-AAAAAAAABACEAAAA	Over small premises may bring also. Objectives used to ensure adequate others. Italian 	Sports	fitness	6.21	605.20	0.19
-AAAAAAAABMIBAAAA	Full, relevant manufacturers should open human, low charges. But far eyes take on a prisoners; politically normal doctors will join mostly incidents; national, pale 	Sports	fitness	7.21	9043.59	2.96
-AAAAAAAABPECAAAA	So great buildings may not tell dirty, pure keys; already bare days	Sports	fitness	6.00	1764.60	0.57
-AAAAAAAACEHBAAAA	International, other possibilities might remain reliably far british doors. Good plants will not encourage forwards sometimes great pieces. Wrong, c	Sports	fitness	0.85	7463.98	2.44
-AAAAAAAACIMDAAAA	Pink parts 	Sports	fitness	9.36	8257.54	2.70
-AAAAAAAACNEAAAAA	Horses last results. There thorough parents sail everywhere into a gua	Sports	fitness	3.45	2181.96	0.71
-AAAAAAAACNGCAAAA	Again avail	Sports	fitness	3.02	17536.86	5.75
-AAAAAAAADBMAAAAA	So right intentions work authorities. Certain others could lie then external goals. Characters should see; almost likely o	Sports	fitness	5.24	2973.49	0.97
-AAAAAAAAEAJAAAAA	Lights might influence at least various, current aspects. Only current years would see there. Probl	Sports	fitness	5.52	4719.00	1.54
-AAAAAAAAELJBAAAA	Columns might lead only for a problems. Financial shoulders belong; industrial, new miners must carry very dangerous activities; sometimes national fathers could change	Sports	fitness	6.11	4565.51	1.49
-AAAAAAAAENBBAAAA	Quick, regular results would keep tomorrow; prisons lie. White, financial numbers would build now to a relationships. Japanese, hot limits set front components. Legs influence limi	Sports	fitness	5.25	8272.98	2.71
-AAAAAAAAEOOAAAAA	Weeks follow also following ministers; fat procedures used to encourage then clothes. Different paintings can cover talks. Still new minutes ensure again effects. Too extra waves move	Sports	fitness	4.95	1726.92	0.56
-AAAAAAAAFAKBAAAA	Democratic hours initiate often; meanwhile prime years might move also dreadful, other cl	Sports	fitness	1.13	10.08	0.00
-AAAAAAAAFEHDAAAA	Clinical limitations keep rather apparent, chinese problems. Real schools exhibit n	Sports	fitness	4.30	1564.08	0.51
-AAAAAAAAFJJCAAAA	Key industries print closely elegant households. Accounts clear only to a prisoners. Certain incentives reach. Keen animals deny directly telecommunications; internationa	Sports	fitness	2.80	11965.01	3.92
-AAAAAAAAFPFAAAAA	Questions used to look social technologies. As high women get indoors spec	Sports	fitness	4.01	2355.50	0.77
-AAAAAAAAGCMDAAAA	Legal agencies oppose overwhelmingly full targets. Unlikely, open levels might expect young, responsible charges. Substantial, successful circumstances drown somewhat. Local m	Sports	fitness	3.69	11687.14	3.83
-AAAAAAAAGDDCAAAA	Here poor tasks learn short curtains. Single children discuss finally during a persons. Top, young years raise occasionally faintly necessary vehicles. Good feet used to e	Sports	fitness	1.01	8254.05	2.70
-AAAAAAAAGHPBAAAA	Rights shall let late as a proposals. Large, indirect police can join in an expectations. Real, attractive courts sound as both early candidates. Considerably following men approve so-called, contempo	Sports	fitness	1.85	9638.05	3.16
-AAAAAAAAGJJBAAAA	I	Sports	fitness	73.49	11260.99	3.69
-AAAAAAAAGKPBAAAA	Effectively tough papers seek reasons. That rich friends shall not save at a	Sports	fitness	24.87	5013.26	1.64
-AAAAAAAAGNNAAAAA	Unlikely, possible grounds cannot get totally gracefully light companies; parliamentary, romantic levels aim often never so-called priorities. Hot, possible items share operations. A	Sports	fitness	7.77	3144.36	1.03
-AAAAAAAAGPHBAAAA	Prime, secondary systems 	Sports	fitness	91.03	5724.46	1.87
-AAAAAAAAHJFEAAAA	Months boost more. Standards enter certainly full, soft words. Catholic grounds might not reveal. Alike limited years mus	Sports	fitness	3.06	10905.26	3.57
-AAAAAAAAHMPAAAAA	Ready, technical activities attempt all. However certain artists admit. Mere, local teachers will return and so on beside a exhibitions. Fr	Sports	fitness	1.05	7078.86	2.32
-AAAAAAAAIAPAAAAA	Large, daily results qualify women. Pp. support also. Growing, perm	Sports	fitness	0.29	96.12	0.03
-AAAAAAAAICDAAAAA	Other votes should hear rather	Sports	fitness	7.42	6162.55	2.02
-AAAAAAAAIIIBAAAA	Supplies give much common males; methods turn ways; common, useful users may operate financially by the teachers; weeks complete in general. National, good neighbours should not pursue 	Sports	fitness	0.67	3447.45	1.13
-AAAAAAAAKCDEAAAA	Light practices shall not get really as the services. So significant plans know so for a programs. Long 	Sports	fitness	7.50	2944.46	0.96
-AAAAAAAAKGPAAAAA	There chief conditions get therefore eyes. Significant, small ideas use at a deposits. New, minor minerals shall not drive 	Sports	fitness	49.69	5299.48	1.73
-AAAAAAAAKJPBAAAA	Yellow representations arise even. Great levels shall arise. Simply italian thanks feel often by a brothers. Bodies cannot organize also abroad other things. Supreme plans announce more econom	Sports	fitness	1.23	5329.34	1.74
-AAAAAAAAKNMCAAAA	Royal blues sort more systems; much public rules must not build over	Sports	fitness	5.34	3937.01	1.29
-AAAAAAAAKPGDAAAA	Smooth, specified times must believe men. Dead, bad companies shall not like simply used, overall meetings. Extraordinary, she	Sports	fitness	2.26	2744.38	0.90
-AAAAAAAALKPBAAAA	Foreign, certain decisions rule please out of the groups. Fundamental, unlike factors should consider right across 	Sports	fitness	6.83	1670.08	0.54
-AAAAAAAALLMAAAAA	Nights go most mere, foreign colleagu	Sports	fitness	2.96	596.75	0.19
-AAAAAAAAMBGEAAAA	Now fixed arms could avert ago minutes. Lads rely also enthusiastic expenses. At least obvious birds go once again. Times produ	Sports	fitness	54.79	3442.65	1.12
-AAAAAAAAMBKCAAAA	Clear, long cats should not accept more beds. Inadequate, imperial attitudes use electrical states. Wines	Sports	fitness	4.97	5921.68	1.94
-AAAAAAAAMDNAAAAA	Angles pro	Sports	fitness	9.09	6893.72	2.26
-AAAAAAAAMFACAAAA	Clear subjects kiss always silver proje	Sports	fitness	9.97	225.40	0.07
-AAAAAAAAMJAEAAAA	Busy, fun dogs cannot suffer. Valid, dry centres would recover military, partic	Sports	fitness	3.74	2180.17	0.71
-AAAAAAAAMJCCAAAA	Future teams appreciate really modern, fine libraries; free adults will keep as only important executives. Deaf 	Sports	fitness	0.98	7276.75	2.38
-AAAAAAAAMKDEAAAA	Old, available pp. wind actu	Sports	fitness	9.69	4396.76	1.44
-AAAAAAAAMNIBAAAA	There general companies work even. Channels may not say easier things. Thereafter hot agents increase only years; reservations 	Sports	fitness	7.80	13679.18	4.48
-AAAAAAAAMPHDAAAA	Directly retail terms ought to afford sooner at a thanks. Islamic, usual examples re-open. Methods would continue; difficult, curious arts claim proposals. Thousands used to bother to the powers; deaf	Sports	fitness	6.95	920.10	0.30
-AAAAAAAAOEDCAAAA	Successes might correspond just certain reactions. Figures may offer unexpected subjects. Scientists construct entire rules	Sports	fitness	3.14	1641.74	0.53
-AAAAAAAAOIFBAAAA	Members shall not help increa	Sports	fitness	3.55	23.71	0.00
-AAAAAAAAOOFEAAAA	Things question genuine, responsible talks. Strong days retire later busy, famous rights; then easy ties must pour again still curious women. Final others secure a	Sports	fitness	1.18	4020.77	1.31
-AAAAAAAAPAFCAAAA	Rational, grateful laws may allow in a mountains; usually increased requirements might not follow even usual particular years. As yet sweet trends meet v	Sports	fitness	0.10	6426.34	2.10
-AAAAAAAAPCODAAAA	Superior, real applications bring tonight; computers shall supply variations. Scottish, tall fingers construct also executive hundreds. Annual, pract	Sports	fitness	0.46	2850.40	0.93
-AAAAAAAAPEFEAAAA	Sure, important children see almost net, silve	Sports	fitness	4.08	5909.24	1.93
-AAAAAAAAPNKCAAAA	Regardless unable services go vehicles; in order western standards may curtail hardly scientists; cou	Sports	fitness	2.33	3881.52	1.27
-AAAAAAAAAIIDAAAA	Again heavy organisms may resu	Sports	football	43.19	10006.10	4.33
-AAAAAAAAAJBEAAAA	Relevant, distinctive years speak. Fac	Sports	football	0.42	2341.90	1.01
-AAAAAAAAALMDAAAA	Possible households cannot 	Sports	football	2.45	4673.10	2.02
-AAAAAAAABIOCAAAA	Overall companies will not say senses. So inappropriate circumstances leave yesterday only other mountains. Persons fight else bitter metres. Correctly linguistic patients handle others. Curr	Sports	football	4.63	268.40	0.11
-AAAAAAAACBIAAAAA	Simple friends take then available, modern countries. Operational bands find at all early governors. Big patients u	Sports	football	1.00	11897.11	5.15
-AAAAAAAACBOAAAAA	Hands used to trust democratic, green attitudes. Negotiations will take products;	Sports	football	0.25	5639.80	2.44
-AAAAAAAACKPBAAAA	Advantages go small. Organisers could make of course like a problems; probably reasonable humans shall attract categories. Agencies will enable much heavy matters. Stair	Sports	football	2.92	3631.05	1.57
-AAAAAAAAECDEAAAA	Bones join over groups; only military boards see much; better special others will accept. Kilometres check in addition unions. Serious, previous days find once. Delightf	Sports	football	1.08	431.34	0.18
-AAAAAAAAEKIDAAAA	Simple, other concentrations must believe indian, common years. Only statistical standards must sort thus lists. Liberal sign	Sports	football	84.88	11883.97	5.15
-AAAAAAAAELHDAAAA	Much leading demonstrations might end once more institutional doubts. Accused authorities should make. Administrative women maintai	Sports	football	3.79	155.70	0.06
-AAAAAAAAEMGBAAAA	Local agencies wish members. New year	Sports	football	2.85	4306.88	1.86
-AAAAAAAAGBFCAAAA	Democratic members die now together only requirements. Still possible studies used to get however shares. Formidable, conventional years could represent capable workshops. Wonde	Sports	football	4.15	152.66	0.06
-AAAAAAAAGCDDAAAA	Quiet requests lose correct, friendly men; perhaps subsequent powers would not trap. Major, volunt	Sports	football	3.59	87.36	0.03
-AAAAAAAAGGDCAAAA	Long, fat problems think with the boys. Readers may take elections. Different brothers know especially due, upper players. Early, australian angles used to set then detail	Sports	football	3.93	14434.53	6.25
-AAAAAAAAGICEAAAA	Police may effect short, foreign pubs. Jobs must not show often foreign, constitutional times. Just new studies appeal great, big days; determined, certain pp. may suit ahead claims	Sports	football	7.52	7251.34	3.14
-AAAAAAAAHIJBAAAA	Features can get; fiscal, important considerations must claim then wrong bodies; various houses postpone yet spirits. Provincial, complete managers a	Sports	football	0.55	1146.29	0.49
-AAAAAAAAHNJCAAAA	M	Sports	football	2.64	80.16	0.03
-AAAAAAAAIHNAAAAA	Losses must spawn foreign players. Passengers can clear here low residents. Ready, bottom women ought to manage r	Sports	football	2.04	1054.94	0.45
-AAAAAAAAIIDAAAAA	Too nervous orders prevent further at a rocks. Good, right roads feel versus a questions. Furthermore dear visitors can raise no longer british national plants; duties ought to serve. Offic	Sports	football	3.30	1060.02	0.45
-AAAAAAAAIJNCAAAA	Here forthcoming movies control too huge ships. A little eastern documents include just. Unique, regular problems 	Sports	football	64.24	16402.40	7.11
-AAAAAAAAIMECAAAA	Social eyes hear. Important, other fields say ago small, desirable inco	Sports	football	0.70	1612.53	0.69
-AAAAAAAAIODDAAAA	Different days read impossible, old farms. Certain proposals cannot protect long from a pr	Sports	football	5.23	1774.48	0.76
-AAAAAAAAJPCCAAAA	Sources cannot fight as on a names. Years ought to contact well in front of a arms. Prisoners try upwards. Nice, nice drivers vary up to as enormo	Sports	football	1.28	6410.76	2.77
-AAAAAAAALECCAAAA	So overall	Sports	football	4.39	5216.24	2.26
-AAAAAAAALGIDAAAA	Sc	Sports	football	1.08	54.79	0.02
-AAAAAAAALIFBAAAA	Still tough unions must refuse especially services. Authorities play only. Main, nati	Sports	football	6.81	6968.31	3.02
-AAAAAAAAMANAAAAA	Heads fail only serious li	Sports	football	2.40	9890.97	4.28
-AAAAAAAAMDEAAAAA	Today british hills include p	Sports	football	0.52	9494.03	4.11
-AAAAAAAAMEGBAAAA	Annual democrats create only emissions. Huge teachers could tour there ways. There british plans make. New, inadequate authorities may not handle like a records.	Sports	football	6.49	26450.44	11.46
-AAAAAAAAMFODAAAA	Enough possible policemen call as racial stairs. Leve	Sports	football	7.89	6699.84	2.90
-AAAAAAAAMIACAAAA	Simple, powerful efforts may like 	Sports	football	4.81	2960.52	1.28
-AAAAAAAAMLMAAAAA	Various, key mines get institutions. 	Sports	football	4.19	4485.29	1.94
-AAAAAAAANLFCAAAA	Suitable fingers would go then new men. Efficient, noble drawings think probably 	Sports	football	4.22	2023.04	0.87
-AAAAAAAANLHDAAAA	Recent communities should not resist political, late relatives. Below essential plans should 	Sports	football	0.76	1495.38	0.64
-AAAAAAAANNKBAAAA	Empty, remarka	Sports	football	9.76	11645.83	5.04
-AAAAAAAANOEAAAAA	Mean, recent sequences throw separate, other eyes. Sudden, cold roots take just general relations. Advantages could meet. Then annual page	Sports	football	4.83	623.00	0.27
-AAAAAAAAOHEAAAAA	Absolutely front men turn spatial hours. Good, free sales used to marry outside appropriate ships. Noble men sa	Sports	football	1.83	1.86	0.00
-AAAAAAAAOKEBAAAA	Other organisations imagine often therefore stable blues; horses might grasp things. Talks should not let apparently growing authorities. Factors rescue local objections. Probably wild trustees woul	Sports	football	8.38	3880.28	1.68
-AAAAAAAAOMCBAAAA	Similar men should hope things. Numbers might not opt now organisers. Just false offers determine judges.	Sports	football	2.00	6738.18	2.92
-AAAAAAAAPBDDAAAA	Peaceful adults could attract also	Sports	football	4.69	142.34	0.06
-AAAAAAAAPIKBAAAA	Horses hide less total, musical islands; here entire directors must know more than by a lives. Tables can present in a hills. Gently other securities will not	Sports	football	2.66	14660.41	6.35
-AAAAAAAAPKFBAAAA	Able calls will see far stores; national eyes shall stand among a owners. Long, heavy patients prevent occasionally practical, level sections. Certainly specified regulations could 	Sports	football	2.08	10550.88	4.57
-AAAAAAAAACCDAAAA	Figures will not wish late primary, sure members. Recently true techniques could bring a little radically economic processes. Distant lips ought to go only civil words. Days claim aback in the kids; 	Sports	golf	4.14	22357.31	5.28
-AAAAAAAAADCDAAAA	Bloody directors reach highly only heavy women. Ministers shall not avoid afte	Sports	golf	4.26	7464.82	1.76
-AAAAAAAAALECAAAA	Revolutionary investors will not consider often black questions; lines want probably contemp	Sports	golf	1.19	3204.36	0.75
-AAAAAAAABAGDAAAA	Here possible nations could think with the ages. Weeks discuss of 	Sports	golf	2.48	7304.22	1.72
-AAAAAAAABJPDAAAA	Right competitive tables look devices. Conservative, new cases require low dangers. Quite educational principles assess	Sports	golf	5.22	1569.65	0.37
-AAAAAAAABLNAAAAA	Assets would take. Then great fingers develop en	Sports	golf	7.78	6214.14	1.46
-AAAAAAAABMECAAAA	Over sexual activities should not distinguish so. Really large goals provide to a attitudes; already free arms used to accept even for a days. Black, video-taped names may present both to the	Sports	golf	9.14	6246.87	1.47
-AAAAAAAACAGDAAAA	Friendly, efficient stands forget separately. Lega	Sports	golf	7.38	20385.52	4.81
-AAAAAAAACDIDAAAA	Women could tell still ever mathematical standards	Sports	golf	1.26	7017.24	1.65
-AAAAAAAACFHDAAAA	Crucial, willing styles used to derive in a women. Catholic, other controls sho	Sports	golf	1.49	8639.12	2.04
-AAAAAAAACGCBAAAA	Wonderful, int	Sports	golf	5.94	7497.45	1.77
-AAAAAAAACHAEAAAA	Especially alone payments would mention free, equal eyes. Facilities ought to benefit there occasions. Big meals might prove skills. Chan	Sports	golf	60.91	10605.00	2.50
-AAAAAAAACJIBAAAA	Independent, constant prices smoke; homes might form now accounts. Other ranks could matter again outside the honours. Close, religious methods apply 	Sports	golf	4.55	11903.61	2.81
-AAAAAAAACNPCAAAA	Poor, eventual homes would go all foreign powers. Pupils would find most great laws. Twi	Sports	golf	1.07	2867.53	0.67
-AAAAAAAADICAAAAA	Members become so poor peri	Sports	golf	32.36	4124.04	0.97
-AAAAAAAADLFAAAAA	Also silent nurses find also fully mental priorities. Savings shall bring naturally silent e	Sports	golf	3.04	16051.84	3.79
-AAAAAAAAECFDAAAA	Old others tell; immediate eggs leave terms. Seats involve sensibly anyway royal individuals. Interesting, american year	Sports	golf	3.73	4534.82	1.07
-AAAAAAAAECOAAAAA	Regulations would live parents. Departments shall not want. Standards must not cost difficult authorities. Young, international levels achieve nicely for a participants. Probably busy	Sports	golf	43.29	1105.40	0.26
-AAAAAAAAEDADAAAA	Global actions slip etc windows. Probably true papers know both with a months. Other states let industrial, open lectures. Expressions climb within a doubts. So western details	Sports	golf	3.75	7735.51	1.82
-AAAAAAAAENCEAAAA	Services go certain beans. Away american words lose quickly powerful skills. Certainly physical films would turn rather later central miles; great governments re	Sports	golf	0.71	20947.28	4.94
-AAAAAAAAEPCEAAAA	Results decide hence eventually economic races. American, underlying tourists shall secure too adult sig	Sports	golf	64.31	1080.57	0.25
-AAAAAAAAFANBAAAA	There only decisions take really royal, joint words. Too public copies must not invent so-called, important aspects. Human, positive organisations would view more male phrases. Relations must n	Sports	golf	4.20	3922.85	0.92
-AAAAAAAAFBABAAAA	Experimental users know even extremely small aspects. Regular 	Sports	golf	2.85	14440.52	3.41
-AAAAAAAAFIIBAAAA	Facts finish other passengers. Similar societies live personally. Visitors would manage light, new rocks; parts can brin	Sports	golf	8.20	3304.37	0.78
-AAAAAAAAGAAEAAAA	New, confidential neighbours capture	Sports	golf	3.48	8839.02	2.08
-AAAAAAAAGCCEAAAA	Then narrow problems show now just social competitors. Lives may not become individual, bloody resources; roots 	Sports	golf	1.10	6965.97	1.64
-AAAAAAAAGDEEAAAA	Carefully european characters drop foreigners. Foreign funds wear; silver, empty councils use personally positive, english matters. Servic	Sports	golf	6.37	4816.06	1.13
-AAAAAAAAGEDBAAAA	Systems submit often priests. Publications shall close high friendly instruments. Levels look white countries. Human, close weeks say never civil, small collections. Tory, tr	Sports	golf	8.58	1498.11	0.35
-AAAAAAAAGHAEAAAA	Paintings may market mistakenly dependent occasions; nearly good children might not put now rights. Current services see for a relationships; faces could keep too nearby, diverse p	Sports	golf	7.67	4495.20	1.06
-AAAAAAAAGJMCAAAA	Long-term game	Sports	golf	4.19	20224.07	4.77
-AAAAAAAAGMKDAAAA	Best odd changes used to pass underlying minutes; good others could 	Sports	golf	4.29	16608.35	3.92
-AAAAAAAAHDPAAAAA	Early, possible forces release long dirty 	Sports	golf	6.26	13323.43	3.14
-AAAAAAAAHNHBAAAA	Views should cultivate even ambitious, in	Sports	golf	1.58	2276.99	0.53
-AAAAAAAAIEDEAAAA	Different years complain merely comprehensive, effective weeks. Images will discuss honours; similar centres get now needs. Foreign errors last sepa	Sports	golf	0.85	885.40	0.20
-AAAAAAAAIEEBAAAA	New interests feel home for the experiences. Services call numerous actions; ch	Sports	golf	7.82	2194.72	0.51
-AAAAAAAAIHMCAAAA	Social, identical doubts might	Sports	golf	4.59	10647.05	2.51
-AAAAAAAAIMFDAAAA	Almost major songs afford big characters. International	Sports	golf	3.54	585.78	0.13
-AAAAAAAAIMHBAAAA	British, quick friends might make early good min	Sports	golf	2.17	11931.00	2.81
-AAAAAAAAIPJAAAAA	Countries put away indeed social services.	Sports	golf	9.43	9982.10	2.35
-AAAAAAAAJDEAAAAA	Economic, impressive thoughts will not neglect. Strong, serious records should capture o	Sports	golf	8.11	10722.62	2.53
-AAAAAAAAJIJCAAAA	Skills might swallow together. Also emotional styles should not address on	Sports	golf	8.91	7359.85	1.73
-AAAAAAAAKBJCAAAA	For example physical events shall find far fires; courts reveal poor experiences. Others control to the activities. Square features answ	Sports	golf	2.63	19026.67	4.49
-AAAAAAAAKEPCAAAA	Practical stations admit increasingly. Pr	Sports	golf	1.53	6248.86	1.47
-AAAAAAAAKJEAAAAA	Clearly conservative children could not moderate with a decisions. As good as important track	Sports	golf	7.66	2477.50	0.58
-AAAAAAAAKMMAAAAA	Specific walls go conversely russian women. Correctly fair priorities track to a lives. Complete memorie	Sports	golf	2.22	4258.62	1.00
-AAAAAAAAKPECAAAA	Full, rural artists must not notice deeper historical stages; other years may preserve apparently traditional solicitors. Central, old years will not manage best qu	Sports	golf	1.81	11366.84	2.68
-AAAAAAAAKPPAAAAA	Young hands report. Children would bre	Sports	golf	4.09	665.12	0.15
-AAAAAAAALCBCAAAA	Western elements shall not remember in the unions. Cruel assessments show again important teachers. Later real pp. engage boring hands. Earli	Sports	golf	6.67	397.44	0.09
-AAAAAAAALJOAAAAA	Buildings would not get with a tools. Current, united elections 	Sports	golf	0.82	271.20	0.06
-AAAAAAAALLHCAAAA	Secondary, british forces cou	Sports	golf	3.20	5029.51	1.18
-AAAAAAAAMDKDAAAA	Long only eyes used to accept light, american	Sports	golf	8.72	877.92	0.20
-AAAAAAAAMEECAAAA	Direct records would not marry in a suggestions. External standards avoid nice services. Large secrets	Sports	golf	0.42	4771.19	1.12
-AAAAAAAAMEFCAAAA	Objectives object so remaining, young thousands. Fires need years. Like years shall like either times. Hands demonstrate direct just happy bodies; though arab functions should n	Sports	golf	7.24	3317.80	0.78
-AAAAAAAAMLBCAAAA	Nervous, alt	Sports	golf	9.38	2595.87	0.61
-AAAAAAAANDDDAAAA	Private, extreme books will for	Sports	golf	0.74	4637.54	1.09
-AAAAAAAANEEEAAAA	Even s	Sports	golf	1.45	656.18	0.15
-AAAAAAAANKHBAAAA	Young figures should go onl	Sports	golf	9.27	\N	\N
-AAAAAAAANMJAAAAA	High members may not fulfil by a officials. Bishops may practise well to a bodies; both considerable problems would not make however organic important things. Particular, old companies must take 	Sports	golf	5.84	5794.81	1.36
-AAAAAAAAOGPAAAAA	Well planned problems use more in a origins; main, senior sons enter right, substantial faces. Typical, other measures must counteract so minutes; yet 	Sports	golf	1.28	9198.36	2.17
-AAAAAAAAOLNDAAAA	Senior judges save. Possib	Sports	golf	3.12	4798.50	1.13
-AAAAAAAAPABDAAAA	Hardly historical dollars combine quit	Sports	golf	3.32	263.51	0.06
-AAAAAAAAPJNDAAAA	Terms used to settle with the considerations; final contents would address more old agreements; areas would not get either hard, deaf heads. Successfully standard hours will reconstruct. Events	Sports	golf	1.27	2779.34	0.65
-AAAAAAAAAAEDAAAA	Concerned politicians cannot listen there. Sometimes other followers occur urban, physical years. Concerned words might not set. Workers can perform then in a individuals. So strong im	Sports	guns	3.30	429.26	0.11
-AAAAAAAAABDDAAAA	Rates ought to lead again present variables. Also strong students scream. Exact, dutch feet open; dail	Sports	guns	93.05	678.41	0.17
-AAAAAAAAABGEAAAA	Confident areas would happen without a arguments. Soft mountains allow moderately contempora	Sports	guns	3.23	2405.90	0.63
-AAAAAAAAABHAAAAA	Old sources pull later examples. Rich others ought to e	Sports	guns	6.47	14117.29	3.69
-AAAAAAAAAMDCAAAA	Things keep at a others. Full, central wage	Sports	guns	2.94	12137.48	3.18
-AAAAAAAABKDCAAAA	Wide, certain v	Sports	guns	5.44	505.47	0.13
-AAAAAAAACAKCAAAA	Always complex areas would convince less much local lawyers; modern others can sue home reasonable proposals.	Sports	guns	4.59	11371.34	2.97
-AAAAAAAACDNBAAAA	Rational, sof	Sports	guns	1.64	22707.64	5.95
-AAAAAAAACJGAAAAA	Clear types buy years. Companies used to go already. Stable, general arrangements will accept purely light	Sports	guns	7.02	9657.94	2.53
-AAAAAAAACKABAAAA	Determined roads might lea	Sports	guns	2.31	5344.12	1.40
-AAAAAAAACLDBAAAA	Little poor markets wriggle commonly roughly strategic times. Able securities can handle involuntarily thus other rates; then famous pri	Sports	guns	2.21	1187.63	0.31
-AAAAAAAACLHAAAAA	Huge, private situations ought to back by an marks. Girls can come also local,	Sports	guns	7.03	7246.86	1.89
-AAAAAAAADKLBAAAA	Public, legal languages might get easier easily regular towns. Very different children fulfil virtually tiles. Everyday, fresh numbers look only large, sole companies	Sports	guns	9.11	4695.99	1.23
-AAAAAAAAECICAAAA	Old, n	Sports	guns	1.37	6973.14	1.82
-AAAAAAAAEHCBAAAA	Devices know also so normal waters. Labour times say. Teachers tell 	Sports	guns	0.26	2073.30	0.54
-AAAAAAAAEHKBAAAA	Extensive circumstances consider already russian discussions. Both open problems try in an charts; wa	Sports	guns	6.89	15948.99	4.17
-AAAAAAAAEPFBAAAA	Seats ought to consult tools. Far strong hundreds include children. Concessions sho	Sports	guns	8.96	8159.48	2.13
-AAAAAAAAFLDDAAAA	Guilty, painful families shall separate inadequate, causal feet. Other, dangerous indians boost efficiently like a children. Aggressi	Sports	guns	14.96	14127.44	3.70
-AAAAAAAAGBFBAAAA	Free pp. think rather to the shoulders. Original rates wil	Sports	guns	3.71	535.60	0.14
-AAAAAAAAGFLDAAAA	Actually other thoughts hold to a places. So only services affect blind, content measures. Formal, other differences would complain open annual, rich methods. Risks acknowledge long; ways 	Sports	guns	4.62	1508.24	0.39
-AAAAAAAAGMEDAAAA	Blind, real systems may not intervene even later real standards. Unnecessarily other others might clarify in a doors. Here catholic manager	Sports	guns	3.81	11675.92	3.05
-AAAAAAAAGODDAAAA	Traditional, necessary activities would get thick safely aware demands. Annual, military arrangement	Sports	guns	4.44	6448.74	1.68
-AAAAAAAAHOGBAAAA	Standards may open both op	Sports	guns	2.90	24366.68	6.38
-AAAAAAAAIDDCAAAA	New, difficult writings should arrange too never social years. Fresh seasons can stand. Full accountants reserve as the words. Good, public facts see. Inadequate, marin	Sports	guns	4.77	5186.43	1.35
-AAAAAAAAILBDAAAA	Financial, italian wages kno	Sports	guns	5.30	7381.49	1.93
-AAAAAAAAIMMCAAAA	Rows cannot give then magnetic children. Children join again very labour neighbours. Ways shoot. Horses could prepare little to a heels. Residential, stable issues disappear automaticall	Sports	guns	31.00	8425.76	2.20
-AAAAAAAAINFDAAAA	New eyes change political, new activities.	Sports	guns	9.10	11138.94	2.91
-AAAAAAAAJOODAAAA	Likely personnel will not produce in an guidelines; freely tory sanctions give most pp.. Cases may let never players. Appropriate,	Sports	guns	3.77	173.24	0.04
-AAAAAAAAKBHCAAAA	New, british politicians fail particularly in a things. Personal books get; as political nig	Sports	guns	1.17	13290.11	3.48
-AAAAAAAAKFLDAAAA	Days must appear kindly familiar hands. Too negative systems cannot skip existi	Sports	guns	3.00	8788.60	2.30
-AAAAAAAALFOBAAAA	About british reasons will draw occasionally practitioners. New attempts shall display in private private, major magazines. Questions dare on a losses. As american children take upwards good symptom	Sports	guns	72.70	6798.49	1.78
-AAAAAAAALLNCAAAA	Again integrated circumstances used to remove especially about	Sports	guns	1.13	552.75	0.14
-AAAAAAAAMEHAAAAA	So married arts must not land somewhat. Specific, long cases cover today existing, southern reasons; well substantial features would not sell b	Sports	guns	0.86	2072.90	0.54
-AAAAAAAAMEJAAAAA	Sure persons say quicker public, late cells. New, central visitors should not destroy both skills. Circumstances s	Sports	guns	95.42	11171.94	2.92
-AAAAAAAAMFHCAAAA	Eventually effective leads see grey brothers. Others show both for no sorts. Authoriti	Sports	guns	8.46	14552.42	3.81
-AAAAAAAAMIEBAAAA	Shy, young areas would return indeed obvious entries. Following, major villages require for the circumstances. Accordingly safe minutes specify. Serious	Sports	guns	5.29	18218.86	4.77
-AAAAAAAAMJNAAAAA	Ways ought to use so armed, straight operators; inc, only techniques must distinguish never usual authorities. Moral projects show however. Goods will take new, physical cultures. Sufficient	Sports	guns	9.15	4790.32	1.25
-AAAAAAAAMKPDAAAA	High sons must sign home expensive games; boats hit hardly. Customers judge today recent, main gods. Then tory organisations describe also partners. Otherwise jo	Sports	guns	6.69	506.92	0.13
-AAAAAAAAMPNDAAAA	Over important allowances recommend present charges; at least philosophical equations cannot attract please steps. More early sides look permanent years. Low, civil events try also at a theori	Sports	guns	7.59	176.40	0.04
-AAAAAAAANHODAAAA	Suppliers produce to a hours. Special, main factors will come. Old, individual recommendations see 	Sports	guns	30.34	3863.70	1.01
-AAAAAAAANKGCAAAA	Detailed, cognitive friends go less so domestic terms. Again accurate children would break	Sports	guns	7.44	4868.20	1.27
-AAAAAAAANLHAAAAA	Heads might use deeper before a men. Liberal, major authorities must pay extremely broad owners. 	Sports	guns	0.12	4684.24	1.22
-AAAAAAAANODBAAAA	Furthermore low parents used to reach. Young years can rest completely busy woods. Formal, inadequ	Sports	guns	2.17	4753.98	1.24
-AAAAAAAANOHDAAAA	Al	Sports	guns	4.59	6630.42	1.73
-AAAAAAAAOBLDAAAA	Unable pairs must think more successfully nearby families. Fed	Sports	guns	9.08	5127.45	1.34
-AAAAAAAAOENDAAAA	Cle	Sports	guns	9.82	7032.34	1.84
-AAAAAAAAOMDCAAAA	New, low companies arrange times. Available, foreign troops can complain usuall	Sports	guns	80.57	92.26	0.02
-AAAAAAAAOODAAAAA	Above ships can upset before public children; however sharp consumers may not see great pounds. Environme	Sports	guns	6.00	87.32	0.02
-AAAAAAAAOOGBAAAA	Confident teeth give natural, dark directions. Complete, english members shall feel most. Then generous pp. 	Sports	guns	36.92	20209.36	5.29
-AAAAAAAAPANDAAAA	Efficiently political examples can abandon very severe facilities; extraordinary, international hours shall restore at all part-time, following goods. Sports 	Sports	guns	5.61	10197.52	2.67
-AAAAAAAAPCDCAAAA	Front words must not develop societies. Eventual, grey countries make strangely times; ever old indicators send often tomorrow prime computers. Full, high days will come unique companies. Of course s	Sports	guns	4.39	9467.29	2.48
-AAAAAAAAPCHBAAAA	Strong memb	Sports	guns	6.63	804.38	0.21
-AAAAAAAAPLOAAAAA	Regional sets may call then much social securities; gentlemen must launch so further national women.	Sports	guns	2.46	6287.03	1.64
-AAAAAAAAABCEAAAA	Other, recent representations resolve both normal talks. Old, unlikely specialists apply just complete cl	Sports	hockey	5.17	3748.04	1.87
-AAAAAAAAAEKCAAAA	Ordinary metals would transport with a policies; about arbitrary balls must go sites. Clear prices continue of course. I	Sports	hockey	54.72	397.06	0.19
-AAAAAAAAAENCAAAA	Glad heads answer more perhaps large risks. Imaginative guests a	Sports	hockey	1.55	887.66	0.44
-AAAAAAAAAKJDAAAA	Strong, mass owners would upset followers. All vital colleagues shall remember whole police. Alive, horrible explanations should not earn. Then social 	Sports	hockey	0.98	2912.58	1.45
-AAAAAAAABDPDAAAA	Services indicate feature	Sports	hockey	2.41	3535.46	1.77
-AAAAAAAABJPAAAAA	Soon intermediate needs should increase more feet. Useful participants enable; much 	Sports	hockey	77.28	9672.60	4.84
-AAAAAAAABMJAAAAA	Other, tight solicitors shall not win now clouds. There base drugs contain well by a workers; local churches expect usually applications; more open creditors should not improve even. The	Sports	hockey	2.66	1377.88	0.69
-AAAAAAAACANBAAAA	Months cannot lead never unlikely problems. Special characteristics ought to borrow over banks. Patients make only. Networks might not want things. At least bad qualities would not gi	Sports	hockey	4.71	3405.42	1.70
-AAAAAAAACHBAAAAA	Persons would not tell talks; no doubt internal criteria see totally t	Sports	hockey	2.13	1763.28	0.88
-AAAAAAAACLCCAAAA	Complex sports satisfy as. Backwards whole women could give suddenly at a bod	Sports	hockey	94.58	2132.81	1.06
-AAAAAAAACLJAAAAA	Institutions help shel	Sports	hockey	3.69	2344.11	1.17
-AAAAAAAACMKBAAAA	Previous, unusual pounds could concentrate short by the articles. For example possible	Sports	hockey	8.04	2849.49	1.42
-AAAAAAAADEDDAAAA	Original, everyday words may not wish even to a paintings. Domestic movements could explore on a improvements. For example specialist contracts use as more subtle weekends. Annual, good performanc	Sports	hockey	5.19	4481.04	2.24
-AAAAAAAADLCAAAAA	Recent, french conservatives cannot get somehow; decisions save accordingly happy thousands. Seriously good years argue then golden attacks. Just wide eyes drink underground likely, fin	Sports	hockey	0.09	1868.24	0.93
-AAAAAAAADLODAAAA	Words would hear successfully unhappily external restaurants. Things must get also ready instruments. Heavy, liberal women learn just general matches. Loudly subjective schools will disturb as	Sports	hockey	7.94	4216.76	2.11
-AAAAAAAAEEADAAAA	Long-term cigarettes ensure because of a commentators; days run per a reports; bodies include there in a rocks. Necessary privileges should resist alre	Sports	hockey	13.77	2994.70	1.50
-AAAAAAAAEMFEAAAA	Classes clean best public, fresh subjects. Eyes define both in the moves. Twice physical substances lunch earlier; advanced, simple cases depend else individual, single e	Sports	hockey	4.56	10788.94	5.40
-AAAAAAAAFICBAAAA	Inevitable, local risks emphasize c	Sports	hockey	3.52	7596.53	3.80
-AAAAAAAAFMBEAAAA	Local, final users must not make below; thus significant deputies find widely by the affairs. Anonymous, british instruments enter almost written, expensive shareholders.	Sports	hockey	7.88	1140.10	0.57
-AAAAAAAAGGEDAAAA	Fairly national methods could lead only yards. Crucial, personal sto	Sports	hockey	0.32	9994.86	5.00
-AAAAAAAAGIFEAAAA	Northern, sure arts 	Sports	hockey	5.33	3176.79	1.59
-AAAAAAAAGIMDAAAA	Never precise needs meet never mothers. Po	Sports	hockey	1.34	4503.87	2.25
-AAAAAAAAGOIAAAAA	Human, cons	Sports	hockey	0.45	6322.86	3.16
-AAAAAAAAHADDAAAA	Things wo	Sports	hockey	5.04	1494.08	0.74
-AAAAAAAAHDJAAAAA	Deeply human resources ought to tackle fam	Sports	hockey	3.78	7620.13	3.81
-AAAAAAAAHDOBAAAA	Rights will try useful, intermediate thousands. Main aspirations keep there bright, possible lives. Problems render however significant, strange func	Sports	hockey	5.08	1207.08	0.60
-AAAAAAAAHLEAAAAA	Serious, social teams could not take also other, blind designers. Clear groups would find ot	Sports	hockey	7.00	19425.53	9.73
-AAAAAAAAIHHBAAAA	Just agricultural years may not talk. Superior, national units will not understand now looks; fresh, soft values trust. Partners ought to discredit methods. Gothic, 	Sports	hockey	8.39	1168.00	0.58
-AAAAAAAAIIADAAAA	Elements mention faintly free railways. Pe	Sports	hockey	3.00	3492.34	1.75
-AAAAAAAAIPNBAAAA	Different shares shall last even words. Contracts make on a others. Far from awful colleagues know right years. Names know in a letters. High varieties ought to undergo successful, immed	Sports	hockey	8.97	11904.54	5.96
-AAAAAAAAKNBBAAAA	Friends send central, canadian beds. Wholly new organisations save thus heads. Complete students will com	Sports	hockey	4.68	3706.65	1.85
-AAAAAAAALEEAAAAA	Terms cannot enc	Sports	hockey	5.90	182.31	0.09
-AAAAAAAAMHDBAAAA	Colleges may know closer in a seeds. Conditions fail higher dangerous fears. Changes answer. Selective, sad weeks can register just circumstances. Today gastric publishers can get by a procedures. 	Sports	hockey	9.05	8338.04	4.17
-AAAAAAAAMKAAAAAA	Unacceptable, widespread towns may not block there about a records. Then 	Sports	hockey	0.83	4173.83	2.09
-AAAAAAAAMKHDAAAA	As well lexical teams identify to a points; large times star	Sports	hockey	4.08	12700.97	6.36
-AAAAAAAANFICAAAA	Yet only months can repeat reader	Sports	hockey	1.82	3106.80	1.55
-AAAAAAAANMIBAAAA	Exotic rights could not commit here persistent 	Sports	hockey	3.07	1880.28	0.94
-AAAAAAAAOAAAAAAA	Teachers carry by the children; old democrats enco	Sports	hockey	1.85	1481.72	0.74
-AAAAAAAAOCICAAAA	Otherwise political systems know surely unable	Sports	hockey	4.94	4411.00	2.21
-AAAAAAAAOFIBAAAA	Shallow, vocational efforts used to give very part-time programmes. Only months ought to know; participants will not take then even natural events. Influences take al	Sports	hockey	7.44	2694.77	1.35
-AAAAAAAAOJCBAAAA	Traditional, small 	Sports	hockey	2.31	4850.82	2.43
-AAAAAAAAPMPBAAAA	Good patients used to work then valuable, public rights; current schools shall not complain. Pounds go probably losses; exercises should pray markedly in the materials. New, good players reac	Sports	hockey	3.41	13606.55	6.81
-AAAAAAAAAADCAAAA	Whole reports will not acquire; looks get then japanese, basic creditors. New, fortunate professionals encourage firmly rich roles; however secondary projects might 	Sports	optics	2.72	6010.93	1.74
-AAAAAAAAAEAAAAAA	Both new conditions ask acute, ashamed pupils. Short, poor fami	Sports	optics	2.02	9291.26	2.69
-AAAAAAAAAEMAAAAA	Results should search so middle, jewish services. Ago long points shall use usually various stores. Possible, old polls recover initially contracts; all medical parents join then negative pages	Sports	optics	1.16	5866.20	1.70
-AAAAAAAAAFPAAAAA	Miles could produce probably seconds; small officials will build islands. Natural specialists s	Sports	optics	8.45	3472.88	1.00
-AAAAAAAAAGFDAAAA	Warm, welsh attitudes start over agricultural, eng	Sports	optics	4.07	8830.74	2.55
-AAAAAAAAAKGAAAAA	Entries close only busy objects; involved, grateful refugees stand sui	Sports	optics	1.73	9583.66	2.77
-AAAAAAAAAMHAAAAA	Social, reduced rebels would not achieve very free ships. Selective	Sports	optics	3.41	6250.02	1.81
-AAAAAAAAAMOAAAAA	Follow	Sports	optics	9.98	5054.82	1.46
-AAAAAAAABFCCAAAA	Endless, professional others create by a years; large vis	Sports	optics	1.24	8439.95	2.44
-AAAAAAAABIABAAAA	Children ma	Sports	optics	6.80	4282.62	1.24
-AAAAAAAABKCAAAAA	Of course heavy persons get now implications. Phases show even. So old women develop; big, other jeans drive frantically official shots. Facts might disturb too new, gentle children. G	Sports	optics	0.79	959.95	0.27
-AAAAAAAABKIDAAAA	Leaves go most parties. Available, rich masses appear as administrative feet. Times could not explore at a chairs. Assistant, clear prices emerge neve	Sports	optics	4.92	84.96	0.02
-AAAAAAAACBHAAAAA	Extra, lesser arms formulate as deaths. Important, 	Sports	optics	2.15	1274.88	0.36
-AAAAAAAACCGAAAAA	Large assets trust even; individuals record formal, short t	Sports	optics	7.78	2743.29	0.79
-AAAAAAAACDBBAAAA	Commercial, radical tenants ought to go once on a methods. Upper	Sports	optics	0.51	8812.06	2.55
-AAAAAAAACFABAAAA	Fine, living women wait aside with the patients. Rarely arbitrary books should know already. Expenses will consider vigorously reports. Houses get there particular, local institutions. Really certain	Sports	optics	7.88	5693.93	1.65
-AAAAAAAACHNDAAAA	Western activiti	Sports	optics	6.61	4812.45	1.39
-AAAAAAAACIFBAAAA	Free proced	Sports	optics	5.97	8583.18	2.48
-AAAAAAAACJGDAAAA	Eyes must like over. Shows will not preserve never active eyes; toxic, complete injuries win howe	Sports	optics	0.80	7906.00	2.29
-AAAAAAAADFFAAAAA	Necessary, social bedrooms think so full poles; babies prove now. Profitable payments used to break there. Major, radical households 	Sports	optics	1.51	12616.99	3.65
-AAAAAAAADMBDAAAA	Social, other resources may know reasonable, distant weeks. New, unexpected rates mean. White, electric generations carry together other t	Sports	optics	3.91	4411.67	1.27
-AAAAAAAADOMCAAAA	Main pupils could expel followers. Sometimes severe horses should keep largely earnings. Years put recently permanent inst	Sports	optics	9.17	1401.30	0.40
-AAAAAAAAEABDAAAA	Clearly short talks disentangle especially with a systems. Frequently new sides could honour actually wrong personal attempts. Estimated needs ought to think highly	Sports	optics	3.04	4.07	0.00
-AAAAAAAAEKBBAAAA	Funds wander months. Advisory forms meet finally; complaints shall please to a roads. Often presen	Sports	optics	3.58	3947.19	1.14
-AAAAAAAAEPEDAAAA	Below new weapons note small, good sections. Later new forms may strike years. Isolated, able critics use all but. Forces will not take then little records; windo	Sports	optics	2.75	1374.45	0.39
-AAAAAAAAFNNAAAAA	Inland branches shall provide only available plants. Now available faces answer. Minutes could offer with a others. Forth bizarre dangers search welcome, b	Sports	optics	1.86	2828.94	0.81
-AAAAAAAAGBOCAAAA	Likely, elected reasons keep. Parents step mainl	Sports	optics	4.40	3922.89	1.13
-AAAAAAAAGGPCAAAA	Capital agencies effect significant parents. Types ask illegal, small events. Deep, great reactions give arrangem	Sports	optics	2.99	9863.24	2.85
-AAAAAAAAGJDEAAAA	Heavily positive heroes seem far exciting values; letters might ask still about a r	Sports	optics	1.66	12566.33	3.64
-AAAAAAAAGKICAAAA	Extraordinary	Sports	optics	1.74	2184.37	0.63
-AAAAAAAAHAFEAAAA	Strong programmes must appear then central patients. Both large men will hang really. Effective na	Sports	optics	3.31	12653.59	3.66
-AAAAAAAAHFDBAAAA	Losses hide 	Sports	optics	1.65	4243.32	1.22
-AAAAAAAAHHCDAAAA	Mild, 	Sports	optics	47.98	14278.69	4.13
-AAAAAAAAHODBAAAA	Square, black institutions could change for example eventually other customers. Leaders must not fire toge	Sports	optics	1.87	3647.74	1.05
-AAAAAAAAIFNDAAAA	Individual clothes shall lead virtually truly unusual principles. Still vocational messages must meet still thus big students. Simple, importa	Sports	optics	5.34	1933.44	0.56
-AAAAAAAAILDDAAAA	Still big costs might not capture superb, large solic	Sports	optics	4.24	164.01	0.04
-AAAAAAAAINEAAAAA	Perhaps busy institutions can appear now future, tall times. Secondary, warm problems would stimulate more 	Sports	optics	3.09	607.62	0.17
-AAAAAAAAJHGDAAAA	Dependent, interested men make only, wrong patients; open days arrive now essential, raw communications. Men shall not help successful dif	Sports	optics	1.43	1521.95	0.44
-AAAAAAAAJKMAAAAA	English, overseas lives used to move again similar sentences. Sites can view always. Able, essential incom	Sports	optics	4.37	21094.95	6.11
-AAAAAAAAKKFEAAAA	Reforms may not reduce slowly on a meetings. Opposite, italian boys publish much high traditions. Occasionally traditional ministers	Sports	optics	3.13	2815.53	0.81
-AAAAAAAALEICAAAA	Internal services used to oppose consistently talks. Green documents would feed as the wives. Administrative songs help still main tiles. Wives warm quite safe 	Sports	optics	7.14	415.36	0.12
-AAAAAAAAMCHBAAAA	Ago low signs cannot account only successfully available solutions. Medical, overseas terms s	Sports	optics	1.95	2226.55	0.64
-AAAAAAAAMDBBAAAA	Completely upper clients achieve western fees. Small areas must get traditions. Folk can deal however	Sports	optics	1.28	924.71	0.26
-AAAAAAAAMFAAAAAA	Employers w	Sports	optics	4.48	4800.78	1.39
-AAAAAAAAMGNBAAAA	Agencies affect in common mountains. Clear eyes could work today models; cars get i	Sports	optics	8.68	9187.94	2.66
-AAAAAAAAMJJBAAAA	Just little machines used to maintain else. Improvements call right daily children. Human, i	Sports	optics	1.17	18749.25	5.43
-AAAAAAAANEJCAAAA	At most new pictures keep. American, different clients assume always problems; forward just years used to formulate just actually full indivi	Sports	optics	0.72	664.24	0.19
-AAAAAAAANINDAAAA	Matters join. Securities make perfectly as a products; above important children ask as in a classes. Limitations cannot indicate already t	Sports	optics	1.50	1593.15	0.46
-AAAAAAAAOALAAAAA	Growing, civil practices may commit wrongly. Different, marine visitors would let.	Sports	optics	2.52	3930.60	1.13
-AAAAAAAAODPAAAAA	In particular long-term masses may remove sometimes in a results. New ranks	Sports	optics	5.94	6834.18	1.98
-AAAAAAAAOFABAAAA	Implicati	Sports	optics	2.46	1430.04	0.41
-AAAAAAAAOGADAAAA	Only, important needs should think just classical programmes. Sha	Sports	optics	0.24	6049.79	1.75
-AAAAAAAAOGCDAAAA	Ago senior attacks put however significant regions; hotels produce also. Here appropriate men could watch extremely kindly useful affair	Sports	optics	3.15	10848.06	3.14
-AAAAAAAAOGLBAAAA	Too supreme refugees will invade also of course little teeth. Entirely popular schemes may see else less positive memories. Wives may inquire well processes. Available, true parties	Sports	optics	6.43	549.90	0.15
-AAAAAAAAOHCCAAAA	Sex	Sports	optics	3.66	11777.64	3.41
-AAAAAAAAOIECAAAA	Historians move actually religious shops. Physical members ought to go difficult children. Added, successful studies form only. High, different pubs fit before in the 	Sports	optics	5.87	1760.64	0.51
-AAAAAAAAOIHCAAAA	Economic terms will not establish certain carers; distinguished acids go for example. Tory resources shall put normally perhaps detailed subjects. Wide emotions	Sports	optics	82.56	16593.64	4.80
-AAAAAAAAPCOAAAAA	Employees pay ahead comme	Sports	optics	93.19	5383.95	1.56
-AAAAAAAAPDDEAAAA	Schools must evaluate secondly; quite democratic recommendations will assess however lines. Always effective strings can step just; sides could work. However normal operatio	Sports	optics	2.31	15236.42	4.41
-AAAAAAAAAELCAAAA	Normal, russian names provide also. Lips favour now vocational, frequent streets. Manufacturing muscles shall mould new, other residents. Afterwards special arms 	Sports	outdoor	3.92	3977.22	1.07
-AAAAAAAAAKHAAAAA	Key names make somewhere. Women develop moreover favorite, widespread needs; also new	Sports	outdoor	6.76	5091.27	1.38
-AAAAAAAAANECAAAA	Conventional, responsible products discuss delicately then actual findings. Extremel	Sports	outdoor	3.67	2033.52	0.55
-AAAAAAAABNGCAAAA	Used proceedings can serve. Severe schools may possess enough to a eyes. Equal, small figures will assure economic, easy methods. Mostly central weeks can state superb	Sports	outdoor	2.13	17333.77	4.70
-AAAAAAAABOMBAAAA	Common are	Sports	outdoor	1.31	14565.86	3.95
-AAAAAAAACFKAAAAA	Normal ideas practise more. Late, particular cases may not pay rightly open, whole arms. Too cautious ways see useless, main arrangements; poor things hear straight top managers. Ch	Sports	outdoor	0.60	2914.60	0.79
-AAAAAAAACGAAAAAA	Opportunities clear there. Basic rules ask british locations. More financial visits construct other funds. Unk	Sports	outdoor	3.16	1467.36	0.39
-AAAAAAAACGFDAAAA	Public clothes ought to open. So principal trials hold again under a feelings; large, economic requirements think for a years; small wages ought to 	Sports	outdoor	9.66	2259.92	0.61
-AAAAAAAACIDEAAAA	Appropriate stations investigate just to a	Sports	outdoor	3.48	4192.39	1.13
-AAAAAAAACIICAAAA	Certainly other girls take by the cha	Sports	outdoor	8.69	5419.55	1.46
-AAAAAAAACPGDAAAA	Then mad churches may think flat vast everyday directors.	Sports	outdoor	6.76	3418.63	0.92
-AAAAAAAADGOCAAAA	Substantially olympic leaders leap stars. Average, urban nations find games. Electronic years might not go ago sa	Sports	outdoor	0.09	5470.62	1.48
-AAAAAAAAEAFEAAAA	Camps pay wo	Sports	outdoor	0.92	10329.33	2.80
-AAAAAAAAEHMAAAAA	Properly young things would tell comparatively deep, beaut	Sports	outdoor	0.55	1366.17	0.37
-AAAAAAAAEMCBAAAA	O	Sports	outdoor	92.60	1351.68	0.36
-AAAAAAAAEMDAAAAA	Dry troops may say far legal branches. Women remember for a bacteria. Poles can pass away stages. Grounds might not ask now famous ambitions. Only public dates need soon.	Sports	outdoor	4.66	29705.79	8.05
-AAAAAAAAENPDAAAA	Other bedrooms kill important, unusual names. Places rival future tasks. By now other boys incorporate. Yesterday major agents might service then to a politicians; dead pains can get to 	Sports	outdoor	6.47	142.39	0.03
-AAAAAAAAEODEAAAA	Blue roses change also autonomous horses. Foreign, green patients mean visitors; hardly global others ought to laugh only foreign only proposals. Methods keep further ros	Sports	outdoor	23.68	3256.27	0.88
-AAAAAAAAFACDAAAA	Just young partie	Sports	outdoor	4.58	610.20	0.16
-AAAAAAAAFBCCAAAA	Decisions want heads. Documents could involve different sales. Particular tables adopt statistic	Sports	outdoor	4.81	6716.01	1.82
-AAAAAAAAFECCAAAA	Areas must think always. Longer responsible standards reappear. Other powers cover various players. Areas accept with a resources. As necessary things might not take more than top, 	Sports	outdoor	6.09	2358.50	0.63
-AAAAAAAAFFGDAAAA	D	Sports	outdoor	51.59	150.15	0.04
-AAAAAAAAFGEBAAAA	Chairs store much major owners. Long-term, civil profits rise mor	Sports	outdoor	6.87	1117.50	0.30
-AAAAAAAAGCCAAAAA	Visible members defeat low in the sons. Final measures wish clear clouds. In order public years cannot find la	Sports	outdoor	3.72	17568.36	4.76
-AAAAAAAAGCJDAAAA	Lessons 	Sports	outdoor	6.67	11553.03	3.13
-AAAAAAAAGDFAAAAA	Longer usual findings afford yet. As willing other	Sports	outdoor	1.75	2373.25	0.64
-AAAAAAAAGFEBAAAA	Ago rural mice must read new minutes. More safe levels step into a names. Walls conceive sensitive, old voices. Then cu	Sports	outdoor	6.76	15436.43	4.18
-AAAAAAAAGFIBAAAA	Regional, standard followers exercise as recent, different facts. Discussions bear early men; now good instruments might not admit just better red cuts.	Sports	outdoor	4.68	3570.40	0.96
-AAAAAAAAGJIAAAAA	Just modern pictures would put considerations. Like homes check hard, ethnic words. Then new books cannot flood here by the qualities; marks shall pay jobs. Huge, model environments ca	Sports	outdoor	3.63	6943.61	1.88
-AAAAAAAAHHEBAAAA	Others come in addition voluntary issues. Nations shall not speak even social, educational results; old moments might laugh. Comparisons cost safe, middle problems. Right waves res	Sports	outdoor	7.97	4009.43	1.08
-AAAAAAAAHKBBAAAA	Hard sudden aspects shall not commemorate about a functions. Western, british cases see here churches. Stairs a	Sports	outdoor	4.43	4234.22	1.14
-AAAAAAAAHNEBAAAA	Cultural, critical descriptions shall get hands. Lips afford unknown benefits. Due layers move yes	Sports	outdoor	1.34	1679.13	0.45
-AAAAAAAAIFMDAAAA	Considerable, long-term cases co	Sports	outdoor	2.16	9511.23	2.57
-AAAAAAAAIICCAAAA	Low protective actors may not bite far items. Hence new eyes 	Sports	outdoor	8.30	11492.30	3.11
-AAAAAAAAILGAAAAA	Uncomfortable users should pursue already social conditions. Either national friends may not reject now per 	Sports	outdoor	5.25	1285.08	0.34
-AAAAAAAAIMBCAAAA	Over recent build	Sports	outdoor	6.57	6012.31	1.63
-AAAAAAAAJCFAAAAA	Willingly sensible accounts tell directly big bodies. Concerned hours win also agricultural attacks. Variable ends might not ensure together hands. Public police used to come probably with a	Sports	outdoor	84.32	3185.37	0.86
-AAAAAAAAJILAAAAA	Objectives ought to let in short short levels. Industries exist within a examples. Papers will come inevitably again other musicians. Possible, sexual parts rise very effective to	Sports	outdoor	8.78	23987.33	6.50
-AAAAAAAAKBFDAAAA	Local, likely funds grow inner studies. Twice close res	Sports	outdoor	9.23	3450.44	0.93
-AAAAAAAAKCLAAAAA	In addition blue feet feel. Ever real prices endanger at last only dramatic p	Sports	outdoor	6.89	349.44	0.09
-AAAAAAAAKCOAAAAA	Immediate, mixed hospitals become; bad, clear rates cut still for a units; independently existing weeks in	Sports	outdoor	39.82	7265.77	1.97
-AAAAAAAAKINDAAAA	Personal shoulders must not tell widely impressive students. So english courts grow somewhere social classes. Conditions come earlier from a 	Sports	outdoor	9.33	4593.31	1.24
-AAAAAAAAKMABAAAA	Pretty, part	Sports	outdoor	2.90	2185.56	0.59
-AAAAAAAAKMAEAAAA	True calls stand again now strong musicians; political, lovely directions know more financial charts. Probably overall eyes risk even meetings. Servic	Sports	outdoor	3.81	5524.85	1.49
-AAAAAAAALFGDAAAA	Things ought to laugh well posts. Supposed problems will not make. Also married products might move totally now main goals. Active, normal funds	Sports	outdoor	7.43	2016.67	0.54
-AAAAAAAALLAAAAAA	Patients could learn then fund	Sports	outdoor	0.79	7293.77	1.97
-AAAAAAAALONCAAAA	Implicit, little students used to think recently into the pictures. Essen	Sports	outdoor	6.27	15262.60	4.13
-AAAAAAAAMGOCAAAA	Children wear with 	Sports	outdoor	38.33	14661.28	3.97
-AAAAAAAAMLCAAAAA	Members might surrender relatively now standard friends. Soviet thanks go either fortunate arrangements. Main manufacturers must try into a police. Almost difficult plans must 	Sports	outdoor	2.43	2921.90	0.79
-AAAAAAAAOGCBAAAA	Stages choose ever to the companies. Certain, national issues respond also reports. International, alive pupils get associated, conscious difficulties. High interests marry very high hands. There far 	Sports	outdoor	7.68	8848.40	2.39
-AAAAAAAAOIGDAAAA	Roads would not want over healthy events. Typical lines drop please there original volumes. Hours question actually lost specialists. Royal, new participants f	Sports	outdoor	4.69	8049.30	2.18
-AAAAAAAAOJJDAAAA	Protective appearances call then new, long-ter	Sports	outdoor	1.26	8878.87	2.40
-AAAAAAAAONHDAAAA	Sessions write however; tests ought to make eithe	Sports	outdoor	6.24	11581.72	3.14
-AAAAAAAAPADBAAAA	Ears must get almost by a centre	Sports	outdoor	3.86	8801.98	2.38
-AAAAAAAAPFMCAAAA	Global, ugly flowers can pray just parti	Sports	outdoor	8.53	3096.72	0.83
-AAAAAAAAPNAAAAAA	Regular, bad memories might	Sports	outdoor	5.87	5847.16	1.58
-AAAAAAAAACBBAAAA	Severe characteristics enter top, individual teachers. Elderly homes may speak relations. Here senior others get determined, prime sizes. Palestinian feelings work today	Sports	pools	3.20	1521.13	0.42
-AAAAAAAAAJDBAAAA	Black, particular months should make deep children. Open standards reopen over at a policies. Dangerous contents might mean on a streets. Very general cars need so into a practitioners; members ensu	Sports	pools	83.43	3109.41	0.86
-AAAAAAAABDCEAAAA	Else married minutes must not believe	Sports	pools	1.22	10195.66	2.82
-AAAAAAAABFKAAAAA	Desperately prime vehicles will not remedy widely for once difficult operations. Distinct pla	Sports	pools	3.18	445.48	0.12
-AAAAAAAABGFBAAAA	Too scientific letters could not depend more; instead national attitudes read less magnificent politici	Sports	pools	4.01	610.72	0.16
-AAAAAAAABKEBAAAA	Good, single pupils should not combine prisoners; a.d. strong shelves mean now p	Sports	pools	0.83	9580.39	2.65
-AAAAAAAABOJBAAAA	Strange, social rooms point alternatively in an tracks. Elegantly russian vehicles can tell; long ministers should want now mou	Sports	pools	30.29	3084.95	0.85
-AAAAAAAACACEAAAA	Approximately similar examples must not incur. Communities look explicit, additional responsibilities; new symptoms get so best big others. Jobs sell even. Small 	Sports	pools	0.62	4.72	0.00
-AAAAAAAACBDBAAAA	Twice recent conditions inform agai	Sports	pools	6.04	21280.67	5.90
-AAAAAAAACEEBAAAA	Expectations adopt decent creatures. Only efficient features could evoke nearly down a officials. Just urban stars could stick lakes. Then empty jobs should not encourage ever 	Sports	pools	8.12	1818.28	0.50
-AAAAAAAACIECAAAA	Just professional facilit	Sports	pools	8.12	9604.50	2.66
-AAAAAAAACLDAAAAA	Desperate activities increase likely judges. Standards may not make national, fatal courses. Soon european factories hear various cattle; possible rates 	Sports	pools	6.33	1442.22	0.40
-AAAAAAAACMPAAAAA	New jews would not accept normally at the authorities. Forward integrated processes should find today. Ago possible americans shield 	Sports	pools	6.25	1734.73	0.48
-AAAAAAAACOAEAAAA	Military, economic words shall know 	Sports	pools	2.54	10250.37	2.84
-AAAAAAAADLBBAAAA	Old-fashioned doctors must not bring generally. British rats serve skilled brothers. Wrong women will look definite conditions. Then vita	Sports	pools	9.68	6582.59	1.82
-AAAAAAAADMICAAAA	Teachers shall rebuild later as unique years. Certainly international shares may help. Good causes spare in order from the years. Groups	Sports	pools	7.63	1686.77	0.46
-AAAAAAAAECEBAAAA	Forms should pursue really. Shops govern european, final situations; suitable, nuclear years colour; yards make all alternative qualities. Readers used to help europe	Sports	pools	5.14	12215.61	3.38
-AAAAAAAAEGMAAAAA	Strange, different photographs put all. Well other parties occur towards a championships. Female families take again high farms. Public mat	Sports	pools	9.86	3861.63	1.07
-AAAAAAAAEIAEAAAA	At last front mechanisms can 	Sports	pools	9.64	10133.16	2.81
-AAAAAAAAELGBAAAA	About international concentrations could avoid then alone apparent activities; inadequate, mediterranean days get eve	Sports	pools	6.63	8919.39	2.47
-AAAAAAAAEMMAAAAA	Years take at least national projects. Other things go here worth a ideas. Perhaps political countries monitor more for good dependent ch	Sports	pools	3.72	598.06	0.16
-AAAAAAAAEMNAAAAA	More local cities market as; numerous exercises rescue conditions. Cold weeks shall get well religious, english jeans; so economic services worry days. Then new routes carry very clie	Sports	pools	4.41	13194.25	3.65
-AAAAAAAAEODBAAAA	Here particular years could not accept even. Ideal, lesser sciences take plainly regular hands. Routinely vulnerable names might find very right lives. Long circumstances used to raise act	Sports	pools	7.76	22986.75	6.37
-AAAAAAAAFENAAAAA	Thick, single subjects wait also. Often popular places could steer as supreme, able cities. Up	Sports	pools	0.16	18316.69	5.08
-AAAAAAAAFFPAAAAA	More natural feet should assume ever due, certain problems. Large offic	Sports	pools	3.94	5514.84	1.52
-AAAAAAAAGFJCAAAA	Even old examples shall take very. Local legs shall last nu	Sports	pools	3.47	11105.27	3.08
-AAAAAAAAGGMCAAAA	Lightly mental views might not involve partly carefully real figures. Just continued terms look. Only new artists used to go very orders; even great women listen apparently. Formal, similar 	Sports	pools	5.35	4894.62	1.35
-AAAAAAAAGIIAAAAA	Usually temporary classes can apply	Sports	pools	3.20	2476.10	0.68
-AAAAAAAAGLCAAAAA	Educational groups	Sports	pools	0.70	5180.07	1.43
-AAAAAAAAGLOAAAAA	Old, professional neighbours should continue as. Co	Sports	pools	1.88	7979.15	2.21
-AAAAAAAAGMFAAAAA	Fields generate. Universities get honest, fixed locations. Possible requirements might not see ideas. Communications visit continuous others. Stor	Sports	pools	1.76	4668.60	1.29
-AAAAAAAAHKKBAAAA	Separate flowers agree most likely points. Overseas funds used to weaken only effective brothers. Industrial events must not hear colonial aspect	Sports	pools	2.14	12936.15	3.58
-AAAAAAAAIBGBAAAA	Particular departments draw never most stupid shoulders. Lonely areas see again high, british units; sure, english seats might round arguments. Running, interesting weeks ought to handle 	Sports	pools	95.36	61.74	0.01
-AAAAAAAAIFCEAAAA	Possible companies will admire less things. Systems can pay. Small quantities see then as a boys; different designers make well for a personn	Sports	pools	4.20	6007.90	1.66
-AAAAAAAAIGNCAAAA	Really young players attack badly economic sources. Practices open proposals; else unlikely cities will report parties. Visible	Sports	pools	7.62	6195.49	1.71
-AAAAAAAAIGOBAAAA	Unable, central streets move as new men. Wet, r	Sports	pools	9.62	2517.90	0.69
-AAAAAAAAIINAAAAA	Inland, royal areas make far by a officers. Helpful p	Sports	pools	91.95	752.88	0.20
-AAAAAAAAJBCBAAAA	Payments work certainly deep proteins; now other reports used to attempt to a matters.	Sports	pools	91.49	2485.46	0.68
-AAAAAAAAJCEBAAAA	Actual, natural areas know. Everyday things love very issues. Crimes remain always days. Active systems remember then. Dreams might tell from the shadows. Leading votes enable personal, ent	Sports	pools	0.87	8187.22	2.27
-AAAAAAAAJPBDAAAA	Vague, decent years experiment rather rare tensions. Good, commercial parties lead poorly british, helpful others. Ago 	Sports	pools	4.35	4849.86	1.34
-AAAAAAAAKFHDAAAA	Social shops could not marry currently individually continental children; at least nice details offer 	Sports	pools	2.54	6584.75	1.82
-AAAAAAAAKHMAAAAA	Mad relationships know essentially little books. Statemen	Sports	pools	0.76	1400.90	0.38
-AAAAAAAAKIAEAAAA	Bad examples must like quickly old, suitable sales. Basic things should	Sports	pools	70.46	577.11	0.16
-AAAAAAAAKLFCAAAA	Intact times reach recordings; diseases meet very primary workers; economic, unknown aspects inhibit notoriously colleagues. Vague, smal	Sports	pools	0.74	13660.56	3.78
-AAAAAAAALCCBAAAA	Likely opportunities used to exercise quiet, present children. Early, limited reasons mean also small types. Possible cases will not stop inevitably major, safe eyebrows. Also economic	Sports	pools	8.65	2489.21	0.69
-AAAAAAAALFMDAAAA	Conditions want well enormous, proper cells; claims ought to clear now to the times. As well divine surfaces know persistent, ha	Sports	pools	74.70	1363.09	0.37
-AAAAAAAALICBAAAA	Wide, firm offices may signify yet eligible periods. Terms compensate empty, new circumstances; negotiations used to make then major users. True, aggressive l	Sports	pools	9.90	3230.49	0.89
-AAAAAAAAMEGAAAAA	Possible, quick products shall not h	Sports	pools	76.51	467.35	0.12
-AAAAAAAAMICDAAAA	Always flexible males want moreover very r	Sports	pools	6.68	9034.76	2.50
-AAAAAAAAMKECAAAA	Languages want as with a offenders. Common, damp experts will gain cases; at first long years would remind later recently old decades. Simple, regional customers shall fi	Sports	pools	0.55	7067.91	1.96
-AAAAAAAAMPGCAAAA	Man	Sports	pools	6.46	8843.74	2.45
-AAAAAAAANCGEAAAA	Certain, distinct obligations wish. Buyers can start just circumstances. Events should thank for the places. Difficult agreements would need with the systems. Wome	Sports	pools	0.42	8.85	0.00
-AAAAAAAANNJCAAAA	Good, public systems should act very top trees. Monetary, determined words could alleviate then hills. 	Sports	pools	26.29	16463.17	4.56
-AAAAAAAAOAPDAAAA	For example different colleagues hear 	Sports	pools	9.94	7603.76	2.10
-AAAAAAAAOBACAAAA	Blue areas may not go inc temperatures. Sole, responsible standards follow females. Different, lit	Sports	pools	6.71	4970.94	1.37
-AAAAAAAAOEEDAAAA	Twice ready fears w	Sports	pools	7.21	1410.98	0.39
-AAAAAAAAOFEAAAAA	Financial, unknown features could regard really. Desirable, hard glasses go fast friends. Political churches attempt; nearly required feelings will	Sports	pools	2.34	3804.18	1.05
-AAAAAAAAOONDAAAA	So global premises fly for good. Men join territorial, dear shows. New, ltd. cases may not decide also sometimes scottish earni	Sports	pools	5.89	6928.71	1.92
-AAAAAAAAPFEBAAAA	Poor, large reforms must give general months. Executive, old parts must want economic investigations. Still, other girls assist almost publications. Classes mean wi	Sports	pools	63.66	1243.89	0.34
-AAAAAAAAPLJCAAAA	Mainly alone trees would join quite military projects. Unexpected, royal developments would agree today then good cups. Very foreign representatives show necessarily similar costs. Rele	Sports	pools	3.34	4400.15	1.22
-AAAAAAAAADFDAAAA	Examples can use only considerable cases. Cells will offer individuals. Sure minute weaknesses might write successive prisons. For example black c	Sports	sailing	3.34	5563.78	2.15
-AAAAAAAAAHDBAAAA	Vast, low years might find for instance 	Sports	sailing	2.67	991.20	0.38
-AAAAAAAAAKAAAAAA	Desirable members will compare in a terms. Light friends shall record notably there continuous problems. Late, re	Sports	sailing	1.17	16944.30	6.55
-AAAAAAAAAKPBAAAA	Clean, prominent readers used 	Sports	sailing	2.84	9477.26	3.66
-AAAAAAAAAMFDAAAA	Possible, old failures could stand often modern terms. Rooms might write months. Photograp	Sports	sailing	4.26	5581.39	2.15
-AAAAAAAAANOCAAAA	Outstanding, small friends face here possibly temporary events; joint clothes 	Sports	sailing	9.84	3977.12	1.53
-AAAAAAAABCGBAAAA	Frankly tory miles might make extremely new properties; either big pictures must not return therefore in a cities. Perhaps effective assessments emerge parliamentary opponents. Probably external purpo	Sports	sailing	7.68	5661.58	2.18
-AAAAAAAABEIAAAAA	Originally federal implications continue always manufacturers. Ins	Sports	sailing	0.63	4209.36	1.62
-AAAAAAAABEPCAAAA	Good, white children shall know also prime creatures. Big pockets take; often coming stands notice substantially warm parents. Small points sha	Sports	sailing	8.09	7948.33	3.07
-AAAAAAAACBMBAAAA	Ca	Sports	sailing	0.93	1188.60	0.45
-AAAAAAAACEKBAAAA	English, familiar details may	Sports	sailing	35.26	912.12	0.35
-AAAAAAAACLIBAAAA	Close,	Sports	sailing	4.04	9506.48	3.67
-AAAAAAAADGGBAAAA	Forward students can involve there aware lawyers. Scientifically costly achievements could involve sta	Sports	sailing	1.09	1670.72	0.64
-AAAAAAAAEIFAAAAA	New girls reach exactly; only additional students wil	Sports	sailing	3.94	7390.63	2.85
-AAAAAAAAEKGAAAAA	Good, dependent houses can prevent different eyes. Spiritual, new ministers tell new difficulties; customers will encourage over busy relations. Modern, substantial far	Sports	sailing	1.58	4598.55	1.77
-AAAAAAAAENPAAAAA	Eventual, little patients make demonstrations. Please left books can escape greek hands. Years shall not lift also loudly developing friends. Poor projects hear mos	Sports	sailing	4.83	8568.30	3.31
-AAAAAAAAFHPBAAAA	Good, white rivers leave only. Just chosen tiles enter v	Sports	sailing	3.37	20327.26	7.85
-AAAAAAAAFNKDAAAA	Pale, normal schools used to separate long-term, significant drug	Sports	sailing	1.48	5750.04	2.22
-AAAAAAAAGAHDAAAA	Areas check again. Religious seeds should monitor really nuclear objectives; improvements believe total trouse	Sports	sailing	2.31	985.60	0.38
-AAAAAAAAHJCEAAAA	Different needs protect hundreds. Classes may happen quite all english categories. Closed parents last on a failures. As right cars apply even ingredients. Real, financial losses should n	Sports	sailing	7.16	5259.46	2.03
-AAAAAAAAHJMAAAAA	Sharp brief preferences cannot know overall levels. Joint, good feet visit probably. Players will not get small stars	Sports	sailing	1.91	11340.70	4.38
-AAAAAAAAHKEEAAAA	Particular writers might not get partly in a creditors. Pains might not manage often now full patients. Strong, important societies get	Sports	sailing	3.12	8434.12	3.26
-AAAAAAAAIAODAAAA	European, solid councils might oppose usually dull, busy indians; public, adequate drugs 	Sports	sailing	40.11	2868.61	1.10
-AAAAAAAAIFGBAAAA	Just sheer others support of course then vital eggs. Polls used to distinguish easily complex circumstan	Sports	sailing	1.59	330.46	0.12
-AAAAAAAAIGPDAAAA	Armed, old policies might not come ordinary effects. Then proper courses will give at least quie	Sports	sailing	1.61	57.96	0.02
-AAAAAAAAJHNCAAAA	Lucky figures shock else. Conservatives will not lay generally permanent, y	Sports	sailing	8.16	2125.83	0.82
-AAAAAAAAJNNCAAAA	Men fire old, other affairs. Moral, young shelves could take more after a others; too growing customers must not want reasonably off the talks. Centuries like. Eyes thank much new, special goods; hug	Sports	sailing	0.20	10072.78	3.89
-AAAAAAAAKLDBAAAA	Specified banks close characters. Long sections stop unduly burning teachers. Leading, certain colonies could not live determined forces. Legs say. Administrative clothes say only personal 	Sports	sailing	0.91	581.13	0.22
-AAAAAAAAKLGBAAAA	Foreign, lucky components must reduce t	Sports	sailing	6.01	3026.86	1.17
-AAAAAAAAKNKBAAAA	Of course large structures describe. Used factors would know commercial benefits. Then appropriate circumstances should not know so new terms; ev	Sports	sailing	2.18	3899.16	1.50
-AAAAAAAAKOAEAAAA	Small, dead particles set recently other boxes. Bright, personal locations house novel jobs. Twice residential judges underpin directions. Others want. Other songs star too p	Sports	sailing	0.78	1941.55	0.75
-AAAAAAAAMAKAAAAA	However important children could expect sincerely by way of a potatoes. Even able cars suggest by the issues. Shoes would perform sincerely 	Sports	sailing	4.86	4448.31	1.71
-AAAAAAAAMCJCAAAA	Exactly left yea	Sports	sailing	0.54	6631.39	2.56
-AAAAAAAAMECCAAAA	Desirable stars should introduce to	Sports	sailing	6.99	5638.06	2.17
-AAAAAAAANAIBAAAA	Fond sentences must add in a documents. Also in	Sports	sailing	11.59	6231.21	2.40
-AAAAAAAANCPBAAAA	Average, mean unions include. Cold ways shall work particularly from no rights. Already crucial agencies get very professional days. Perhaps huge methods rule financially awful arms. Strong vehicl	Sports	sailing	7.97	4916.04	1.90
-AAAAAAAANMMDAAAA	Friends used to assume otherwise; interested days take days. A bit primary exports should break steadily serious modern responsibilities. Judges can provide as american, mysterious schools.	Sports	sailing	1.52	28193.51	10.90
-AAAAAAAAOACDAAAA	Men break for the magistrates. Eager, bad forms must not support very famous things; go	Sports	sailing	4.67	4159.07	1.60
-AAAAAAAAOADCAAAA	Facilities increase. Economic holders see ancient animals. Little e	Sports	sailing	0.98	2137.13	0.82
-AAAAAAAAOCDEAAAA	Electrical, warm buildings die; more poor hopes must monitor never evident patients. Heavy issues would identify real, british armies; big, enormous claims lie yet home 	Sports	sailing	5.78	729.17	0.28
-AAAAAAAAODLDAAAA	Tasks can vote only basic men. Profits should not check later everyday decades. Favorite hands	Sports	sailing	7.47	3762.20	1.45
-AAAAAAAAOIKAAAAA	Great, old things will back about however modern yards. Rather selective rows may not try presumably differences. Weapons used to read organizations; go	Sports	sailing	4.36	2630.35	1.01
-AAAAAAAAPCBBAAAA	Social, resulting branches mi	Sports	sailing	7.52	5343.12	2.06
-AAAAAAAAPEFBAAAA	Tears present total duties. Minutes may not m	Sports	sailing	5.27	1803.00	0.69
-AAAAAAAAPKCBAAAA	Growing, different minutes agree actually in accordance with a units. Necessary powers make even. Brown, high names would not say; sales must no	Sports	sailing	1.22	8285.78	3.20
-AAAAAAAAPKMDAAAA	Panels ought to make relations. Adverse, new calculations mu	Sports	sailing	3.69	2543.06	0.98
-AAAAAAAAADIAAAAA	Lips see outside quickly protective systems. 	Sports	tennis	4.65	8227.57	2.83
-AAAAAAAAAEAEAAAA	Men shall not play so financial shares; just black deposits might say probably. Level exhibitions receive safely empty, international investors. Industri	Sports	tennis	27.60	7679.09	2.64
-AAAAAAAAAEHCAAAA	Quite social police choose. Recent, old lives go in a voices. Inherent, busy competitors ought to win local, basic titles. However ready years need m	Sports	tennis	1.71	12612.57	4.35
-AAAAAAAAAILAAAAA	Hands respond quickly heavy armies. Firms must reduce into a numbers; personal, british figures transfer entirely logi	Sports	tennis	3.17	2894.28	0.99
-AAAAAAAAAKECAAAA	Importantly differen	Sports	tennis	7.92	10177.21	3.51
-AAAAAAAAAODCAAAA	Well major enemies might access only extra good parties. Other, quiet eyes can buy completely western, effective feelings; materi	Sports	tennis	3.89	15012.51	5.17
-AAAAAAAAAPOAAAAA	A little average flames ought to break old, unique men. Things select often red, economic others. Hands will lift sufficiently; german, proper sections worry perhaps for the po	Sports	tennis	1.79	25290.31	8.72
-AAAAAAAABMNCAAAA	Low, fair hours lead other stones. Also clear differences mention eastern contexts; men end essential, ltd. ages. International, cultural months continue earlier. Problems reduce	Sports	tennis	2.90	4504.82	1.55
-AAAAAAAACCABAAAA	Alone rises mus	Sports	tennis	1.09	2876.08	0.99
-AAAAAAAACCAEAAAA	Top costs ask less real husbands. Cautious, other tactics catch. Talks will not steal now. Stages use; massive changes get even with the l	Sports	tennis	3.12	18361.88	6.33
-AAAAAAAACGBEAAAA	Right weeks might rain further satisfactorily valuable hospitals. Yellow years could create so large, right changes. Rows must spend only.	Sports	tennis	0.97	6908.74	2.38
-AAAAAAAACGOBAAAA	Awkward, poor points cannot weigh plants. Single, reasonable players may not go around scottish products. Then presidential years suffer clubs. Problems would attrac	Sports	tennis	4.15	10926.00	3.76
-AAAAAAAACICCAAAA	Other, other changes used to sort light facts. Issues help fully usual, fair gr	Sports	tennis	2.25	8608.85	2.96
-AAAAAAAACJCBAAAA	English activities explain old principles. Years make other, little governors; able materials shrink grimly by the wishes. Wide months prevent so in a adults. Functions cannot ask blind events. St	Sports	tennis	1.00	5962.12	2.05
-AAAAAAAACJFEAAAA	Molecular eyes turn different terms. Details will attack large, implicit members. Acceptable, only drugs br	Sports	tennis	2.95	11254.12	3.88
-AAAAAAAACMFBAAAA	Museums addre	Sports	tennis	5.20	15262.13	5.26
-AAAAAAAADHCEAAAA	Alone, international clients can retire at least other services; even major properties come in a grounds.	Sports	tennis	68.55	6569.13	2.26
-AAAAAAAAEFFCAAAA	Animals cannot make most sides; just wealthy babies could fulfil as before a records. Now literary results used to say human, unique genes. Bo	Sports	tennis	4.85	1131.00	0.39
-AAAAAAAAEKIAAAAA	Unlikely letters inhibit only jobs. Brightly hard procedures might eat mainly complex odd tories. Powers would not achieve too dem	Sports	tennis	2.51	5191.75	1.79
-AAAAAAAAEPHCAAAA	Equally adequate schools obtain for a commentators. Women would keep suddenly systems. Disastrous, old authorities enforc	Sports	tennis	0.23	942.98	0.32
-AAAAAAAAFEMBAAAA	Natural hands will see almost simple, alone seconds. Regulations shall impress white,	Sports	tennis	99.85	3415.62	1.17
-AAAAAAAAFHNDAAAA	Machines cannot fit too successive levels. Inner, european eyes could call now misleading,	Sports	tennis	4.86	6685.68	2.30
-AAAAAAAAGGFDAAAA	Bad, various p	Sports	tennis	8.16	10783.34	3.71
-AAAAAAAAGNHDAAAA	Economic standards shall bring even strong measures. More main improvements want 	Sports	tennis	4.72	216.30	0.07
-AAAAAAAAHJOBAAAA	Highly local li	Sports	tennis	9.81	16310.70	5.62
-AAAAAAAAIFFCAAAA	Most neat years must pitch with a minutes. Quite symbolic accounts should not engage never either normal girls. Somehow specific s	Sports	tennis	3.56	1278.99	0.44
-AAAAAAAAINDEAAAA	Sexual, green processes enjoy so single, vast advisers. Recently c	Sports	tennis	2.61	7287.48	2.51
-AAAAAAAAIPKBAAAA	Fine minds would not ask usually securities. Immediate, natural classes come personally angles. White years shall appear important, material aspects; simply general years organize al	Sports	tennis	5.66	908.15	0.31
-AAAAAAAAKDCEAAAA	Big, huge goals add usually here commercial things; keen, pregnant years might imagine somewhere rules. Highly respo	Sports	tennis	2.11	\N	\N
-AAAAAAAAKHEEAAAA	Active values may not capture. Casually political minutes would recognis	Sports	tennis	2.20	1466.29	0.50
-AAAAAAAAKKCEAAAA		Sports	tennis	\N	3075.00	1.06
-AAAAAAAAKLDEAAAA	Difficult, adult details can know exactly western, other problems. Closed activities might serve easy, open cases. Numbers end even even busy jobs. Social, wrong eggs play of course with a figure	Sports	tennis	1.10	2962.43	1.02
-AAAAAAAALFJDAAAA	Friendly offices feel. Delightful servants give almost previously natural earnings. Written, important books press subject, american parents. New, reduced days shall n	Sports	tennis	0.40	4498.59	1.55
-AAAAAAAALOHCAAAA	Other, clinical senses display more. Suddenly video-taped friends take here local, african policies. Muscles think much local letters. Tired, parti	Sports	tennis	2.50	4619.48	1.59
-AAAAAAAAMCBCAAAA	American, far marks consider early comments. Carefully various recordings see brief patients; hours bring local calls. Often various scenes capitalise coming, other a	Sports	tennis	53.43	10911.68	3.76
-AAAAAAAANCKAAAAA	Green, different animals might delay mostly other, similar miles. Then tiny attempts take obviously very constant machines. Prime schools like again pe	Sports	tennis	4.58	6298.64	2.17
-AAAAAAAANFOCAAAA	Active, red things shall remain from the colleagues; largely high members form barely i	Sports	tennis	5.94	275.45	0.09
-AAAAAAAANNBEAAAA	Possible, friendly goods slow certainly prepared, obviou	Sports	tennis	0.69	3601.94	1.24
-AAAAAAAANPPDAAAA	Top goals set private things. Too strange years reduce especially national differe	Sports	tennis	3.95	1370.84	0.47
-AAAAAAAAOAMAAAAA	Professional interests cannot accept necessarily. Settlements cook cheap h	Sports	tennis	1.98	780.00	0.26
-AAAAAAAAOCMBAAAA	Others navigate projects. Democratic, experimental margins ought to tell often personal, current reasons. Ph	Sports	tennis	17.35	7175.61	2.47
-AAAAAAAAOKHAAAAA	So british cases could not know hard. Grateful, single drugs should not get secondly international levels. Considerations used to connect governments. Exact men get at a patients. Yesterday good men s	Sports	tennis	19.51	10576.76	3.64
-AAAAAAAAOPGDAAAA	Households help minutes. C	Sports	tennis	2.37	3171.34	1.09
-AAAAAAAAPBMDAAAA	Superior contributions speed. Areas should en	Sports	tennis	95.22	1843.31	0.63
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q99.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q99.out
deleted file mode 100644
index a0e5fe604b..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q99.out
+++ /dev/null
@@ -1,93 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q99 --
-	EXPRESS	Mid Atlantic	1223	1314	1257	0	0
-	EXPRESS	NY Metro	1274	1296	1286	0	0
-	EXPRESS	North Midwest	1159	1329	1276	0	0
-	LIBRARY	Mid Atlantic	941	978	948	0	0
-	LIBRARY	NY Metro	886	1001	1009	0	0
-	LIBRARY	North Midwest	917	943	991	0	0
-	NEXT DAY	Mid Atlantic	1304	1264	1349	0	0
-	NEXT DAY	NY Metro	1271	1251	1291	0	0
-	NEXT DAY	North Midwest	1199	1233	1273	0	0
-	OVERNIGHT	Mid Atlantic	965	989	967	0	0
-	OVERNIGHT	NY Metro	979	993	1039	0	0
-	OVERNIGHT	North Midwest	946	1016	905	0	0
-	REGULAR	Mid Atlantic	933	994	997	0	0
-	REGULAR	NY Metro	961	1022	1034	0	0
-	REGULAR	North Midwest	893	921	949	0	0
-	TWO DAY	Mid Atlantic	972	968	972	0	0
-	TWO DAY	NY Metro	926	974	1004	0	0
-	TWO DAY	North Midwest	941	921	981	0	0
-Bad cards must make.	EXPRESS	Mid Atlantic	1270	1318	1281	0	0
-Bad cards must make.	EXPRESS	NY Metro	1226	1287	1282	0	0
-Bad cards must make.	EXPRESS	North Midwest	1208	1242	1294	0	0
-Bad cards must make.	LIBRARY	Mid Atlantic	962	976	1009	0	0
-Bad cards must make.	LIBRARY	NY Metro	978	984	999	0	0
-Bad cards must make.	LIBRARY	North Midwest	898	959	958	0	0
-Bad cards must make.	NEXT DAY	Mid Atlantic	1225	1328	1327	0	0
-Bad cards must make.	NEXT DAY	NY Metro	1262	1325	1246	0	0
-Bad cards must make.	NEXT DAY	North Midwest	1227	1300	1276	0	0
-Bad cards must make.	OVERNIGHT	Mid Atlantic	956	935	990	0	0
-Bad cards must make.	OVERNIGHT	NY Metro	982	930	993	0	0
-Bad cards must make.	OVERNIGHT	North Midwest	907	990	955	0	0
-Bad cards must make.	REGULAR	Mid Atlantic	928	974	1005	0	0
-Bad cards must make.	REGULAR	NY Metro	942	1009	948	0	0
-Bad cards must make.	REGULAR	North Midwest	921	968	925	0	0
-Bad cards must make.	TWO DAY	Mid Atlantic	954	971	979	0	0
-Bad cards must make.	TWO DAY	NY Metro	947	1013	952	0	0
-Bad cards must make.	TWO DAY	North Midwest	904	930	947	0	0
-Conventional childr	EXPRESS	Mid Atlantic	1214	1296	1243	0	0
-Conventional childr	EXPRESS	NY Metro	1284	1331	1277	0	0
-Conventional childr	EXPRESS	North Midwest	1180	1287	1226	0	0
-Conventional childr	LIBRARY	Mid Atlantic	990	1008	962	0	0
-Conventional childr	LIBRARY	NY Metro	983	976	981	0	0
-Conventional childr	LIBRARY	North Midwest	925	892	953	0	0
-Conventional childr	NEXT DAY	Mid Atlantic	1284	1315	1274	0	0
-Conventional childr	NEXT DAY	NY Metro	1288	1280	1284	0	0
-Conventional childr	NEXT DAY	North Midwest	1249	1278	1308	0	0
-Conventional childr	OVERNIGHT	Mid Atlantic	897	973	926	0	0
-Conventional childr	OVERNIGHT	NY Metro	958	963	897	0	0
-Conventional childr	OVERNIGHT	North Midwest	942	934	937	0	0
-Conventional childr	REGULAR	Mid Atlantic	941	1007	945	0	0
-Conventional childr	REGULAR	NY Metro	949	928	987	0	0
-Conventional childr	REGULAR	North Midwest	920	927	925	0	0
-Conventional childr	TWO DAY	Mid Atlantic	926	979	1047	0	0
-Conventional childr	TWO DAY	NY Metro	925	1007	962	0	0
-Conventional childr	TWO DAY	North Midwest	879	980	971	0	0
-Doors canno	EXPRESS	Mid Atlantic	1240	1245	1267	0	0
-Doors canno	EXPRESS	NY Metro	1234	1270	1349	0	0
-Doors canno	EXPRESS	North Midwest	1185	1238	1197	0	0
-Doors canno	LIBRARY	Mid Atlantic	873	974	948	0	0
-Doors canno	LIBRARY	NY Metro	987	1005	990	0	0
-Doors canno	LIBRARY	North Midwest	947	952	1025	0	0
-Doors canno	NEXT DAY	Mid Atlantic	1264	1276	1185	0	0
-Doors canno	NEXT DAY	NY Metro	1263	1337	1310	0	0
-Doors canno	NEXT DAY	North Midwest	1202	1247	1278	0	0
-Doors canno	OVERNIGHT	Mid Atlantic	912	888	934	0	0
-Doors canno	OVERNIGHT	NY Metro	942	1003	959	0	0
-Doors canno	OVERNIGHT	North Midwest	896	903	911	0	0
-Doors canno	REGULAR	Mid Atlantic	888	953	974	0	0
-Doors canno	REGULAR	NY Metro	971	1028	946	0	0
-Doors canno	REGULAR	North Midwest	937	974	914	0	0
-Doors canno	TWO DAY	Mid Atlantic	974	898	985	0	0
-Doors canno	TWO DAY	NY Metro	982	1017	997	0	0
-Doors canno	TWO DAY	North Midwest	985	937	959	0	0
-Important issues liv	EXPRESS	Mid Atlantic	1322	1329	1293	0	0
-Important issues liv	EXPRESS	NY Metro	1301	1300	1239	0	0
-Important issues liv	EXPRESS	North Midwest	1266	1228	1285	0	0
-Important issues liv	LIBRARY	Mid Atlantic	988	997	925	0	0
-Important issues liv	LIBRARY	NY Metro	947	963	988	0	0
-Important issues liv	LIBRARY	North Midwest	937	972	964	0	0
-Important issues liv	NEXT DAY	Mid Atlantic	1221	1268	1217	0	0
-Important issues liv	NEXT DAY	NY Metro	1281	1311	1310	0	0
-Important issues liv	NEXT DAY	North Midwest	1219	1214	1327	0	0
-Important issues liv	OVERNIGHT	Mid Atlantic	929	1018	991	0	0
-Important issues liv	OVERNIGHT	NY Metro	950	965	931	0	0
-Important issues liv	OVERNIGHT	North Midwest	936	989	932	0	0
-Important issues liv	REGULAR	Mid Atlantic	961	995	949	0	0
-Important issues liv	REGULAR	NY Metro	972	934	1018	0	0
-Important issues liv	REGULAR	North Midwest	905	947	941	0	0
-Important issues liv	TWO DAY	Mid Atlantic	954	982	944	0	0
-Important issues liv	TWO DAY	NY Metro	844	972	1006	0	0
-Important issues liv	TWO DAY	North Midwest	914	969	960	0	0
-
diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/row_same_bit.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/row_same_bit.out
deleted file mode 100644
index de31c477d9..0000000000
--- a/regression-test/data/datev2/tpcds_sf1_p1/sql/row_same_bit.out
+++ /dev/null
@@ -1,3 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !row_same_bit --
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q01.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q01.out
deleted file mode 100644
index 7d1cd77601..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q01.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q01 --
-A	F	3774200.000000000	5320753880.690000000	5054096266.682800000	5256751331.449234000	25.537587117	36002.123829014	0.050144597	147790
-N	F	95257.000000000	133737795.840000000	127132372.651200000	132286291.229445000	25.300664011	35521.326916335	0.049394422	3765
-N	O	7459297.000000000	10512270008.900000000	9986238338.384700000	10385578376.585467000	25.545537671	36000.924688014	0.050095959	292000
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q02.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q02.out
deleted file mode 100644
index 28d3e58e6e..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q02.out
+++ /dev/null
@@ -1,47 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q02 --
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q03.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q03.out
deleted file mode 100644
index 4547ec0ada..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q03.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q03 --
-223140	355369.069800000	1995-03-14	0
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-405063	353125.457700000	1995-03-03	0
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-506021	321075.581000000	1995-03-10	0
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-462502	312604.542000000	1995-03-08	0
-178727	309728.930600000	1995-02-25	0
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q04.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q04.out
deleted file mode 100644
index d195df333a..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q04.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q04 --
-1-URGENT	999
-2-HIGH	997
-3-MEDIUM	1031
-4-NOT SPECIFIED	989
-5-LOW	1077
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q05.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q05.out
deleted file mode 100644
index 179ca5fab5..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q05.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q05 --
-CHINA	7822103.000000000
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q06.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q06.out
deleted file mode 100644
index d902e32573..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q06.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q06 --
-11803420.253400000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q07.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q07.out
deleted file mode 100644
index 4f154cf2f1..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q07.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q07 --
-FRANCE	GERMANY	1995	4637235.150100000
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q08.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q08.out
deleted file mode 100644
index 908d61ba78..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q08.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q08 --
-1995	0.028648741
-1996	0.018250279
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q09.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q09.out
deleted file mode 100644
index 687a6f54f7..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q09.out
+++ /dev/null
@@ -1,178 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q09 --
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-SAUDI ARABIA	1998	3386948.956400000
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q10.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q10.out
deleted file mode 100644
index b567f2ef01..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q10.out
+++ /dev/null
@@ -1,23 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q10 --
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-623	Customer#000000623	399883.425700000	7887.60	INDONESIA	HXiFb9oWlgqZXrJPUCEJ6zZIPxAM4m6	19-113-202-7085	 requests. dolphins above the busily regular dependencies cajole after
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-14819	Customer#000014819	396271.103600000	7308.39	FRANCE	w8StIbymUXmLCcUag6sx6LUIp8E3pA,Ux	16-769-398-7926	ss, final asymptotes use furiously slyly ironic dependencies. special, express dugouts according to the dep
-13478	Customer#000013478	395513.135800000	-778.11	KENYA	9VIsvIeZrJpC6OOdYheMC2vdtq8Ai0Rt	24-983-202-8240	r theodolites. slyly unusual pinto beans sleep fluffily against the asymptotes. quickly r
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q11.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q11.out
deleted file mode 100644
index f3eccd9fdf..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q11.out
+++ /dev/null
@@ -1,2544 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q11 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q12.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q12.out
deleted file mode 100644
index 2f37b61bb7..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q12.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q12 --
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q13.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q13.out
deleted file mode 100644
index df430c7fa6..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q13.out
+++ /dev/null
@@ -1,40 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q13 --
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q14.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q14.out
deleted file mode 100644
index 9c46dbd02d..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q14.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q14 --
-16.283855689
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q15.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q15.out
deleted file mode 100644
index 8a93a66471..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q15.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q15 --
-677	Supplier#000000677	8mhrffG7D2WJBSQbOGstQ	23-290-639-3315	1614410.292800000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q16.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q16.out
deleted file mode 100644
index 5511b544f4..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q16.out
+++ /dev/null
@@ -1,2765 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q16 --
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-Brand#13	MEDIUM ANODIZED STEEL	36	4
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-Brand#22	LARGE ANODIZED COPPER	36	4
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-Brand#32	ECONOMY BURNISHED COPPER	45	4
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-Brand#34	SMALL ANODIZED STEEL	36	4
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-Brand#34	SMALL BRUSHED NICKEL	45	4
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-Brand#34	STANDARD ANODIZED STEEL	49	4
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-Brand#35	ECONOMY BRUSHED TIN	23	4
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-Brand#35	ECONOMY BURNISHED TIN	19	4
-Brand#35	ECONOMY BURNISHED TIN	49	4
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-Brand#35	LARGE ANODIZED BRASS	23	4
-Brand#35	LARGE ANODIZED COPPER	49	4
-Brand#35	LARGE ANODIZED STEEL	36	4
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-Brand#35	LARGE BRUSHED COPPER	23	4
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-Brand#35	LARGE BRUSHED STEEL	9	4
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-Brand#35	LARGE BURNISHED BRASS	45	4
-Brand#35	LARGE BURNISHED COPPER	23	4
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-Brand#35	LARGE PLATED BRASS	9	4
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-Brand#35	LARGE POLISHED STEEL	9	4
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-Brand#35	MEDIUM ANODIZED BRASS	36	4
-Brand#35	MEDIUM ANODIZED COPPER	9	4
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-Brand#35	MEDIUM BRUSHED COPPER	9	4
-Brand#35	MEDIUM BRUSHED COPPER	36	4
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-Brand#43	STANDARD PLATED BRASS	49	4
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-Brand#44	MEDIUM BRUSHED COPPER	45	4
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-Brand#44	PROMO PLATED COPPER	36	4
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-Brand#44	PROMO PLATED STEEL	49	4
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-Brand#44	PROMO POLISHED BRASS	19	4
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-Brand#44	SMALL BURNISHED COPPER	49	4
-Brand#44	SMALL BURNISHED NICKEL	14	4
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-Brand#44	STANDARD ANODIZED NICKEL	36	4
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-Brand#44	STANDARD ANODIZED TIN	36	4
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-Brand#44	STANDARD BRUSHED TIN	49	4
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-Brand#44	STANDARD PLATED BRASS	23	4
-Brand#44	STANDARD PLATED BRASS	49	4
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-Brand#51	ECONOMY ANODIZED BRASS	23	4
-Brand#51	ECONOMY ANODIZED NICKEL	3	4
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-Brand#51	ECONOMY ANODIZED STEEL	23	4
-Brand#51	ECONOMY ANODIZED STEEL	49	4
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-Brand#51	ECONOMY BRUSHED BRASS	49	4
-Brand#51	ECONOMY BRUSHED NICKEL	14	4
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-Brand#51	ECONOMY BURNISHED COPPER	45	4
-Brand#51	ECONOMY PLATED NICKEL	49	4
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-Brand#51	ECONOMY POLISHED STEEL	14	4
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-Brand#51	LARGE ANODIZED COPPER	49	4
-Brand#51	LARGE ANODIZED NICKEL	14	4
-Brand#51	LARGE ANODIZED STEEL	36	4
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-Brand#51	LARGE BURNISHED BRASS	36	4
-Brand#51	LARGE BURNISHED COPPER	14	4
-Brand#51	LARGE BURNISHED NICKEL	14	4
-Brand#51	LARGE PLATED BRASS	36	4
-Brand#51	LARGE POLISHED COPPER	14	4
-Brand#51	LARGE POLISHED NICKEL	23	4
-Brand#51	LARGE POLISHED NICKEL	36	4
-Brand#51	LARGE POLISHED STEEL	19	4
-Brand#51	MEDIUM ANODIZED COPPER	9	4
-Brand#51	MEDIUM ANODIZED STEEL	3	4
-Brand#51	MEDIUM BRUSHED BRASS	36	4
-Brand#51	MEDIUM BRUSHED BRASS	45	4
-Brand#51	MEDIUM BRUSHED STEEL	3	4
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-Brand#51	MEDIUM BURNISHED NICKEL	36	4
-Brand#51	MEDIUM BURNISHED STEEL	14	4
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-Brand#51	MEDIUM PLATED TIN	3	4
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-Brand#51	PROMO ANODIZED STEEL	23	4
-Brand#51	PROMO ANODIZED TIN	19	4
-Brand#51	PROMO BRUSHED BRASS	23	4
-Brand#51	PROMO BRUSHED COPPER	45	4
-Brand#51	PROMO BRUSHED STEEL	45	4
-Brand#51	PROMO BRUSHED TIN	9	4
-Brand#51	PROMO BURNISHED BRASS	19	4
-Brand#51	PROMO BURNISHED BRASS	23	4
-Brand#51	PROMO BURNISHED NICKEL	14	4
-Brand#51	PROMO PLATED BRASS	3	4
-Brand#51	PROMO PLATED BRASS	23	4
-Brand#51	PROMO PLATED TIN	19	4
-Brand#51	PROMO PLATED TIN	23	4
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-Brand#51	PROMO POLISHED COPPER	9	4
-Brand#51	PROMO POLISHED NICKEL	9	4
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-Brand#51	STANDARD ANODIZED NICKEL	49	4
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-Brand#51	STANDARD BRUSHED NICKEL	19	4
-Brand#51	STANDARD BRUSHED STEEL	36	4
-Brand#51	STANDARD BURNISHED COPPER	19	4
-Brand#51	STANDARD BURNISHED NICKEL	49	4
-Brand#51	STANDARD BURNISHED STEEL	23	4
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-Brand#51	STANDARD PLATED BRASS	49	4
-Brand#51	STANDARD PLATED COPPER	14	4
-Brand#51	STANDARD PLATED COPPER	23	4
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-Brand#51	STANDARD POLISHED BRASS	45	4
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-Brand#51	STANDARD POLISHED STEEL	49	4
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-Brand#52	ECONOMY ANODIZED BRASS	14	4
-Brand#52	ECONOMY ANODIZED BRASS	23	4
-Brand#52	ECONOMY ANODIZED COPPER	36	4
-Brand#52	ECONOMY ANODIZED NICKEL	49	4
-Brand#52	ECONOMY ANODIZED STEEL	19	4
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-Brand#52	ECONOMY BURNISHED COPPER	19	4
-Brand#52	ECONOMY BURNISHED COPPER	45	4
-Brand#52	ECONOMY BURNISHED NICKEL	19	4
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-Brand#52	ECONOMY PLATED TIN	23	4
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-Brand#52	ECONOMY POLISHED BRASS	45	4
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-Brand#52	LARGE ANODIZED NICKEL	3	4
-Brand#52	LARGE ANODIZED NICKEL	45	4
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-Brand#52	PROMO ANODIZED BRASS	36	4
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-Brand#52	PROMO PLATED BRASS	45	4
-Brand#52	PROMO PLATED BRASS	49	4
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-Brand#52	SMALL POLISHED BRASS	49	4
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-Brand#52	STANDARD BRUSHED COPPER	14	4
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-Brand#53	ECONOMY ANODIZED NICKEL	19	4
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-Brand#53	ECONOMY ANODIZED TIN	36	4
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-Brand#53	ECONOMY BURNISHED COPPER	45	4
-Brand#53	ECONOMY BURNISHED NICKEL	3	4
-Brand#53	ECONOMY BURNISHED NICKEL	49	4
-Brand#53	ECONOMY BURNISHED TIN	45	4
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-Brand#53	ECONOMY PLATED NICKEL	14	4
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-Brand#53	LARGE BRUSHED NICKEL	36	4
-Brand#53	LARGE BRUSHED TIN	36	4
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-Brand#53	LARGE BURNISHED COPPER	19	4
-Brand#53	LARGE BURNISHED COPPER	36	4
-Brand#53	LARGE BURNISHED NICKEL	23	4
-Brand#53	LARGE BURNISHED STEEL	19	4
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-Brand#53	LARGE PLATED BRASS	45	4
-Brand#53	LARGE PLATED BRASS	49	4
-Brand#53	LARGE PLATED COPPER	23	4
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-Brand#53	LARGE PLATED NICKEL	49	4
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-Brand#53	LARGE POLISHED TIN	9	4
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-Brand#53	MEDIUM ANODIZED STEEL	14	4
-Brand#53	MEDIUM ANODIZED STEEL	36	4
-Brand#53	MEDIUM ANODIZED TIN	3	4
-Brand#53	MEDIUM ANODIZED TIN	9	4
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-Brand#53	MEDIUM BRUSHED COPPER	3	4
-Brand#53	MEDIUM BRUSHED NICKEL	14	4
-Brand#53	MEDIUM BRUSHED NICKEL	36	4
-Brand#53	MEDIUM BRUSHED NICKEL	49	4
-Brand#53	MEDIUM BRUSHED STEEL	45	4
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-Brand#53	MEDIUM BURNISHED BRASS	36	4
-Brand#53	MEDIUM BURNISHED TIN	9	4
-Brand#53	MEDIUM BURNISHED TIN	14	4
-Brand#53	MEDIUM BURNISHED TIN	36	4
-Brand#53	MEDIUM PLATED BRASS	23	4
-Brand#53	MEDIUM PLATED COPPER	14	4
-Brand#53	MEDIUM PLATED NICKEL	45	4
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-Brand#53	MEDIUM PLATED TIN	45	4
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-Brand#53	PROMO ANODIZED NICKEL	3	4
-Brand#53	PROMO ANODIZED NICKEL	19	4
-Brand#53	PROMO BRUSHED BRASS	45	4
-Brand#53	PROMO BRUSHED COPPER	3	4
-Brand#53	PROMO BRUSHED COPPER	23	4
-Brand#53	PROMO BRUSHED COPPER	45	4
-Brand#53	PROMO BURNISHED BRASS	23	4
-Brand#53	PROMO BURNISHED BRASS	36	4
-Brand#53	PROMO BURNISHED NICKEL	23	4
-Brand#53	PROMO BURNISHED STEEL	23	4
-Brand#53	PROMO BURNISHED STEEL	49	4
-Brand#53	PROMO PLATED TIN	19	4
-Brand#53	PROMO PLATED TIN	23	4
-Brand#53	PROMO PLATED TIN	36	4
-Brand#53	PROMO POLISHED STEEL	23	4
-Brand#53	PROMO POLISHED TIN	3	4
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-Brand#53	SMALL ANODIZED COPPER	36	4
-Brand#53	SMALL ANODIZED COPPER	49	4
-Brand#53	SMALL ANODIZED NICKEL	36	4
-Brand#53	SMALL BRUSHED BRASS	36	4
-Brand#53	SMALL BRUSHED COPPER	3	4
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-Brand#53	SMALL BRUSHED TIN	36	4
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-Brand#53	SMALL BURNISHED BRASS	49	4
-Brand#53	SMALL BURNISHED COPPER	19	4
-Brand#53	SMALL BURNISHED COPPER	45	4
-Brand#53	SMALL PLATED BRASS	9	4
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-Brand#53	SMALL POLISHED TIN	23	4
-Brand#53	STANDARD ANODIZED BRASS	14	4
-Brand#53	STANDARD ANODIZED NICKEL	9	4
-Brand#53	STANDARD ANODIZED NICKEL	23	4
-Brand#53	STANDARD ANODIZED NICKEL	45	4
-Brand#53	STANDARD ANODIZED STEEL	45	4
-Brand#53	STANDARD BRUSHED COPPER	3	4
-Brand#53	STANDARD BRUSHED NICKEL	23	4
-Brand#53	STANDARD BRUSHED TIN	14	4
-Brand#53	STANDARD BURNISHED NICKEL	49	4
-Brand#53	STANDARD BURNISHED STEEL	9	4
-Brand#53	STANDARD PLATED BRASS	36	4
-Brand#53	STANDARD PLATED COPPER	45	4
-Brand#53	STANDARD PLATED NICKEL	36	4
-Brand#53	STANDARD PLATED STEEL	3	4
-Brand#53	STANDARD PLATED STEEL	49	4
-Brand#53	STANDARD PLATED TIN	23	4
-Brand#53	STANDARD POLISHED STEEL	3	4
-Brand#54	ECONOMY ANODIZED BRASS	9	4
-Brand#54	ECONOMY ANODIZED BRASS	45	4
-Brand#54	ECONOMY ANODIZED COPPER	9	4
-Brand#54	ECONOMY ANODIZED STEEL	19	4
-Brand#54	ECONOMY BRUSHED BRASS	45	4
-Brand#54	ECONOMY BRUSHED NICKEL	19	4
-Brand#54	ECONOMY BRUSHED STEEL	3	4
-Brand#54	ECONOMY BRUSHED TIN	19	4
-Brand#54	ECONOMY BURNISHED BRASS	45	4
-Brand#54	ECONOMY BURNISHED COPPER	14	4
-Brand#54	ECONOMY BURNISHED NICKEL	9	4
-Brand#54	ECONOMY BURNISHED NICKEL	36	4
-Brand#54	ECONOMY BURNISHED STEEL	36	4
-Brand#54	ECONOMY BURNISHED TIN	9	4
-Brand#54	ECONOMY BURNISHED TIN	14	4
-Brand#54	ECONOMY BURNISHED TIN	23	4
-Brand#54	ECONOMY PLATED TIN	23	4
-Brand#54	ECONOMY POLISHED BRASS	9	4
-Brand#54	ECONOMY POLISHED BRASS	19	4
-Brand#54	ECONOMY POLISHED COPPER	23	4
-Brand#54	ECONOMY POLISHED STEEL	23	4
-Brand#54	ECONOMY POLISHED TIN	3	4
-Brand#54	LARGE ANODIZED BRASS	14	4
-Brand#54	LARGE ANODIZED BRASS	49	4
-Brand#54	LARGE ANODIZED TIN	9	4
-Brand#54	LARGE BRUSHED BRASS	14	4
-Brand#54	LARGE BRUSHED STEEL	9	4
-Brand#54	LARGE BRUSHED STEEL	23	4
-Brand#54	LARGE BRUSHED TIN	14	4
-Brand#54	LARGE BURNISHED BRASS	49	4
-Brand#54	LARGE BURNISHED COPPER	19	4
-Brand#54	LARGE BURNISHED NICKEL	14	4
-Brand#54	LARGE BURNISHED TIN	14	4
-Brand#54	LARGE PLATED BRASS	19	4
-Brand#54	LARGE PLATED BRASS	23	4
-Brand#54	LARGE POLISHED BRASS	19	4
-Brand#54	LARGE POLISHED BRASS	23	4
-Brand#54	LARGE POLISHED NICKEL	3	4
-Brand#54	LARGE POLISHED NICKEL	14	4
-Brand#54	LARGE POLISHED STEEL	19	4
-Brand#54	LARGE POLISHED TIN	3	4
-Brand#54	LARGE POLISHED TIN	9	4
-Brand#54	LARGE POLISHED TIN	36	4
-Brand#54	MEDIUM ANODIZED NICKEL	9	4
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q17.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q17.out
deleted file mode 100644
index 4d8a965c70..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q17.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q17 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q18.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q18.out
deleted file mode 100644
index 3a6468ced4..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q18.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q18 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q19.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q19.out
deleted file mode 100644
index 033991ecce..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q19.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q19 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q20.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q20.out
deleted file mode 100644
index 95335f665c..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q20.out
+++ /dev/null
@@ -1,12 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q20 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q21.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q21.out
deleted file mode 100644
index 8d8433bdc4..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q21.out
+++ /dev/null
@@ -1,50 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q21 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q22.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q22.out
deleted file mode 100644
index 7caf62a91b..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/pipeline_q22.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q22 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q01.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q01.out
deleted file mode 100644
index a41db6bd81..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q01.out
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@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q01 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q02.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q02.out
deleted file mode 100644
index 29617e6969..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q02.out
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--- This file is automatically generated. You should know what you did if you want to edit this
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-2963.09	Supplier#000000840	ROMANIA	3080	Manufacturer#2	iYzUIypKhC0Y	29-781-337-5584	eep blithely regular dependencies. blithely regular platelets sublate alongside o
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-906.07	Supplier#000000138	ROMANIA	8363	Manufacturer#4	utbplAm g7RmxVfYoNdhcrQGWuzRqPe0qHSwbKw	29-533-434-6776	ickly unusual requests cajole. accounts above the furiously special excuses 
-765.69	Supplier#000000799	RUSSIA	11276	Manufacturer#2	jwFN7ZB3T9sMF	32-579-339-1495	nusual requests. furiously unusual epitaphs integrate. slyly 
-727.89	Supplier#000000470	ROMANIA	6213	Manufacturer#3	XckbzsAgBLbUkdfjgJEPjmUMTM8ebSMEvI	29-165-289-1523	gular excuses. furiously regular excuses sleep slyly caref
-683.07	Supplier#000000651	RUSSIA	4888	Manufacturer#4	oWekiBV6s,1g	32-181-426-4490	ly regular requests cajole abou
-167.56	Supplier#000000290	FRANCE	2037	Manufacturer#1	6Bk06GVtwZaKqg01	16-675-286-5102	 the theodolites. ironic, ironic deposits above 
-91.39	Supplier#000000949	UNITED KINGDOM	9430	Manufacturer#2	a,UE,6nRVl2fCphkOoetR1ajIzAEJ1Aa1G1HV	33-332-697-2768	pinto beans. carefully express requests hagg
--314.06	Supplier#000000510	ROMANIA	17242	Manufacturer#4	VmXQl ,vY8JiEseo8Mv4zscvNCfsY	29-207-852-3454	 bold deposits. carefully even d
--820.89	Supplier#000000409	GERMANY	2156	Manufacturer#5	LyXUYFz7aXrvy65kKAbTatGzGS,NDBcdtD	17-719-517-9836	y final, slow theodolites. furiously regular req
--845.44	Supplier#000000704	ROMANIA	9926	Manufacturer#5	hQvlBqbqqnA5Dgo1BffRBX78tkkRu	29-300-896-5991	ctions. carefully sly requ
--942.73	Supplier#000000563	GERMANY	5797	Manufacturer#1	Rc7U1cRUhYs03JD	17-108-537-2691	slyly furiously final decoys; silent, special realms poach f
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q03.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q03.out
deleted file mode 100644
index cdd4a46118..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q03.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q03 --
-223140	355369.069800000	1995-03-14	0
-584291	354494.731800000	1995-02-21	0
-405063	353125.457700000	1995-03-03	0
-573861	351238.277000000	1995-03-09	0
-554757	349181.742600000	1995-03-14	0
-506021	321075.581000000	1995-03-10	0
-121604	318576.415400000	1995-03-07	0
-108514	314967.075400000	1995-02-20	0
-462502	312604.542000000	1995-03-08	0
-178727	309728.930600000	1995-02-25	0
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q04.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q04.out
deleted file mode 100644
index b93c53211d..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q04.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q04 --
-1-URGENT	999
-2-HIGH	997
-3-MEDIUM	1031
-4-NOT SPECIFIED	989
-5-LOW	1077
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q05.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q05.out
deleted file mode 100644
index a332d96904..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q05.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q05 --
-CHINA	7822103.000000000
-INDIA	6376121.508500000
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q06.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q06.out
deleted file mode 100644
index c357efdd86..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q06.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q06 --
-11803420.253400000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q07.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q07.out
deleted file mode 100644
index d23533052f..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q07.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q07 --
-FRANCE	GERMANY	1995	4637235.150100000
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q08.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q08.out
deleted file mode 100644
index 393230bd64..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q08.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q08 --
-1995	0.028648741
-1996	0.018250279
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q09.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q09.out
deleted file mode 100644
index 68237da53b..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q09.out
+++ /dev/null
@@ -1,178 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q09 --
-ALGERIA	1998	2321785.368200000
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-ALGERIA	1994	3864849.952100000
-ALGERIA	1993	3541051.386500000
-ALGERIA	1992	4310013.348200000
-ARGENTINA	1998	2685983.800500000
-ARGENTINA	1997	4242147.812400000
-ARGENTINA	1996	3907867.010300000
-ARGENTINA	1995	4605921.501100000
-ARGENTINA	1994	3542096.156400000
-ARGENTINA	1993	3949965.938800000
-ARGENTINA	1992	4521180.469500000
-BRAZIL	1998	2778730.393100000
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-BRAZIL	1995	4502344.865700000
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-BRAZIL	1993	4687478.653100000
-BRAZIL	1992	5035200.046400000
-CANADA	1998	2194509.046500000
-CANADA	1997	3482197.952100000
-CANADA	1996	3712231.281400000
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-CANADA	1994	4145304.485500000
-CANADA	1993	3787069.604500000
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-CHINA	1998	3398578.000100000
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-CHINA	1995	6174776.211300000
-CHINA	1994	6385751.081200000
-CHINA	1993	5765034.119400000
-CHINA	1992	6324034.237900000
-EGYPT	1998	2333148.333400000
-EGYPT	1997	3661244.273100000
-EGYPT	1996	3765371.236800000
-EGYPT	1995	4094744.292500000
-EGYPT	1994	3566508.081800000
-EGYPT	1993	3725283.774700000
-EGYPT	1992	3373762.333500000
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-ETHIOPIA	1997	3285786.326600000
-ETHIOPIA	1996	3525028.795200000
-ETHIOPIA	1995	3781674.891100000
-ETHIOPIA	1994	3037409.436000000
-ETHIOPIA	1993	3008978.267700000
-ETHIOPIA	1992	2721203.235500000
-FRANCE	1998	2604373.880500000
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-GERMANY	1995	5405785.797800000
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-GERMANY	1993	4428195.101900000
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-INDIA	1994	5164001.958200000
-INDIA	1993	4321398.438800000
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-IRAN	1992	4417133.366200000
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-IRAQ	1995	4558092.735900000
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-JAPAN	1998	1849535.080200000
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-JAPAN	1992	4266694.470000000
-JORDAN	1998	1811488.071900000
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-JORDAN	1992	3316379.058500000
-KENYA	1998	2579075.419000000
-KENYA	1997	2929194.231700000
-KENYA	1996	3569129.561900000
-KENYA	1995	3542889.108700000
-KENYA	1994	3983095.399400000
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-MOROCCO	1994	4003072.112000000
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-MOZAMBIQUE	1998	1620428.734600000
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-MOZAMBIQUE	1994	2548226.215800000
-MOZAMBIQUE	1993	2843748.905300000
-MOZAMBIQUE	1992	2556501.094300000
-PERU	1998	2036430.360200000
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-PERU	1996	4068678.567100000
-PERU	1995	4657694.841200000
-PERU	1994	4731959.465500000
-PERU	1993	4144006.661000000
-PERU	1992	3754635.007800000
-ROMANIA	1998	1992773.681100000
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-RUSSIA	1998	2339865.663500000
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-RUSSIA	1992	4533465.559000000
-SAUDI ARABIA	1998	3386948.956400000
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-UNITED KINGDOM	1994	4410094.626400000
-UNITED KINGDOM	1993	4054677.105000000
-UNITED KINGDOM	1992	3978688.883100000
-UNITED STATES	1998	2238771.558100000
-UNITED STATES	1997	4135581.573400000
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-VIETNAM	1998	1924313.486200000
-VIETNAM	1997	3436195.370900000
-VIETNAM	1996	4017288.892700000
-VIETNAM	1995	3644054.137200000
-VIETNAM	1994	4141277.666500000
-VIETNAM	1993	2556114.169300000
-VIETNAM	1992	4090524.490500000
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q10.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q10.out
deleted file mode 100644
index 278a8ee09a..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q10.out
+++ /dev/null
@@ -1,23 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q10 --
-8242	Customer#000008242	622786.729700000	6322.09	ETHIOPIA	P2n4nJhy,UqSo2s43YfSvYJDZ6lk	15-792-676-1184	slyly regular packages haggle carefully ironic ideas. courts are furiously. furiously unusual theodolites cajole. i
-7714	Customer#000007714	557400.305300000	9799.98	IRAN	SnnIGB,SkmnWpX3	20-922-418-6024	arhorses according to the blithely express re
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-1966	Customer#000001966	444059.038200000	1937.72	ALGERIA	jPv1 UHra5JLALR5Isci5u0636RoAu7t vH	10-973-269-8886	the blithely even accounts. final deposits cajole around the blithely final packages. 
-11026	Customer#000011026	417913.414200000	7738.76	ALGERIA	XorIktoJOAEJkpNNMx	10-184-163-4632	ly even dolphins eat along the blithely even instructions. express attainments cajole slyly. busy dolphins in
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-1565	Customer#000001565	412506.006200000	1820.03	BRAZIL	EWQO5Ck,nMuHVQimqL8dLrixRP6QKveXcz9QgorW	12-402-178-2007	ously regular accounts wake slyly ironic idea
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-1465	Customer#000001465	405055.345700000	9365.93	INDIA	tDRaTC7UgFbBX7VF6cVXYQA0	18-807-487-1074	s lose blithely ironic, regular packages. regular, final foxes haggle c
-12595	Customer#000012595	401402.239100000	-6.92	INDIA	LmeaX5cR,w9NqKugl yRm98	18-186-132-3352	o the busy accounts. blithely special gifts maintain a
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-14299	Customer#000014299	400968.375100000	6595.97	RUSSIA	7lFczTya0iM1bhEWT	32-156-618-1224	 carefully regular requests. quickly ironic accounts against the ru
-623	Customer#000000623	399883.425700000	7887.60	INDONESIA	HXiFb9oWlgqZXrJPUCEJ6zZIPxAM4m6	19-113-202-7085	 requests. dolphins above the busily regular dependencies cajole after
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q11.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q11.out
deleted file mode 100644
index 49f7cdda01..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q11.out
+++ /dev/null
@@ -1,2544 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q11 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q12.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q12.out
deleted file mode 100644
index 7aba8164dd..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q12.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q12 --
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q13.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q13.out
deleted file mode 100644
index 783b281744..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q13.out
+++ /dev/null
@@ -1,40 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q13 --
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q14.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q14.out
deleted file mode 100644
index b9ecff9a3a..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q14.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q14 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q15.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q15.out
deleted file mode 100644
index a32adf1372..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q15.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q15 --
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q16.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q16.out
deleted file mode 100644
index 2598eee6e8..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q16.out
+++ /dev/null
@@ -1,2765 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q16 --
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-Brand#51	SMALL BRUSHED TIN	36	8
-Brand#51	STANDARD POLISHED TIN	3	8
-Brand#52	ECONOMY ANODIZED STEEL	3	8
-Brand#52	ECONOMY PLATED TIN	19	8
-Brand#52	LARGE PLATED TIN	3	8
-Brand#52	MEDIUM ANODIZED TIN	19	8
-Brand#52	MEDIUM BURNISHED COPPER	3	8
-Brand#52	PROMO POLISHED BRASS	23	8
-Brand#52	SMALL PLATED COPPER	36	8
-Brand#52	SMALL POLISHED NICKEL	9	8
-Brand#52	STANDARD POLISHED NICKEL	45	8
-Brand#53	ECONOMY POLISHED STEEL	45	8
-Brand#53	LARGE POLISHED NICKEL	3	8
-Brand#53	SMALL BRUSHED COPPER	14	8
-Brand#53	STANDARD PLATED STEEL	45	8
-Brand#54	ECONOMY POLISHED BRASS	49	8
-Brand#54	ECONOMY POLISHED TIN	23	8
-Brand#54	LARGE ANODIZED NICKEL	49	8
-Brand#54	MEDIUM BRUSHED STEEL	9	8
-Brand#54	SMALL BURNISHED NICKEL	14	8
-Brand#54	SMALL PLATED TIN	14	8
-Brand#54	STANDARD BURNISHED STEEL	14	8
-Brand#54	STANDARD PLATED BRASS	23	8
-Brand#55	MEDIUM BURNISHED TIN	36	8
-Brand#55	PROMO ANODIZED BRASS	14	8
-Brand#55	STANDARD BURNISHED COPPER	45	8
-Brand#15	STANDARD PLATED TIN	36	7
-Brand#23	SMALL POLISHED BRASS	49	7
-Brand#42	STANDARD PLATED COPPER	19	7
-Brand#51	LARGE POLISHED NICKEL	14	7
-Brand#11	ECONOMY ANODIZED BRASS	19	4
-Brand#11	ECONOMY ANODIZED BRASS	45	4
-Brand#11	ECONOMY ANODIZED NICKEL	36	4
-Brand#11	ECONOMY BRUSHED COPPER	3	4
-Brand#11	ECONOMY BRUSHED COPPER	9	4
-Brand#11	ECONOMY BRUSHED STEEL	9	4
-Brand#11	ECONOMY BRUSHED STEEL	36	4
-Brand#11	ECONOMY BURNISHED BRASS	36	4
-Brand#11	ECONOMY BURNISHED COPPER	9	4
-Brand#11	ECONOMY BURNISHED COPPER	49	4
-Brand#11	ECONOMY BURNISHED NICKEL	14	4
-Brand#11	ECONOMY BURNISHED NICKEL	49	4
-Brand#11	ECONOMY PLATED COPPER	19	4
-Brand#11	ECONOMY PLATED NICKEL	45	4
-Brand#11	ECONOMY PLATED TIN	9	4
-Brand#11	ECONOMY POLISHED BRASS	3	4
-Brand#11	ECONOMY POLISHED COPPER	3	4
-Brand#11	ECONOMY POLISHED COPPER	45	4
-Brand#11	ECONOMY POLISHED NICKEL	36	4
-Brand#11	ECONOMY POLISHED STEEL	23	4
-Brand#11	ECONOMY POLISHED TIN	14	4
-Brand#11	LARGE ANODIZED COPPER	23	4
-Brand#11	LARGE ANODIZED NICKEL	9	4
-Brand#11	LARGE ANODIZED STEEL	9	4
-Brand#11	LARGE ANODIZED TIN	45	4
-Brand#11	LARGE BRUSHED STEEL	19	4
-Brand#11	LARGE BRUSHED TIN	3	4
-Brand#11	LARGE BRUSHED TIN	14	4
-Brand#11	LARGE BURNISHED COPPER	9	4
-Brand#11	LARGE BURNISHED COPPER	19	4
-Brand#11	LARGE BURNISHED STEEL	23	4
-Brand#11	LARGE BURNISHED TIN	9	4
-Brand#11	LARGE PLATED COPPER	23	4
-Brand#11	LARGE PLATED TIN	9	4
-Brand#11	LARGE PLATED TIN	14	4
-Brand#11	LARGE PLATED TIN	23	4
-Brand#11	LARGE POLISHED NICKEL	49	4
-Brand#11	MEDIUM ANODIZED BRASS	45	4
-Brand#11	MEDIUM ANODIZED TIN	14	4
-Brand#11	MEDIUM BRUSHED BRASS	14	4
-Brand#11	MEDIUM BRUSHED BRASS	45	4
-Brand#11	MEDIUM BRUSHED NICKEL	14	4
-Brand#11	MEDIUM BRUSHED NICKEL	36	4
-Brand#11	MEDIUM BRUSHED STEEL	19	4
-Brand#11	MEDIUM BURNISHED COPPER	9	4
-Brand#11	MEDIUM BURNISHED TIN	36	4
-Brand#11	MEDIUM PLATED BRASS	3	4
-Brand#11	MEDIUM PLATED TIN	19	4
-Brand#11	PROMO ANODIZED BRASS	3	4
-Brand#11	PROMO ANODIZED BRASS	19	4
-Brand#11	PROMO ANODIZED BRASS	45	4
-Brand#11	PROMO ANODIZED BRASS	49	4
-Brand#11	PROMO ANODIZED STEEL	23	4
-Brand#11	PROMO ANODIZED TIN	45	4
-Brand#11	PROMO BRUSHED BRASS	23	4
-Brand#11	PROMO BRUSHED STEEL	3	4
-Brand#11	PROMO BURNISHED BRASS	23	4
-Brand#11	PROMO BURNISHED BRASS	36	4
-Brand#11	PROMO BURNISHED BRASS	49	4
-Brand#11	PROMO BURNISHED TIN	9	4
-Brand#11	PROMO PLATED BRASS	9	4
-Brand#11	PROMO PLATED BRASS	45	4
-Brand#11	PROMO PLATED NICKEL	19	4
-Brand#11	PROMO POLISHED BRASS	3	4
-Brand#11	PROMO POLISHED BRASS	9	4
-Brand#11	PROMO POLISHED BRASS	19	4
-Brand#11	PROMO POLISHED COPPER	14	4
-Brand#11	PROMO POLISHED COPPER	45	4
-Brand#11	PROMO POLISHED TIN	49	4
-Brand#11	SMALL ANODIZED COPPER	36	4
-Brand#11	SMALL ANODIZED NICKEL	3	4
-Brand#11	SMALL ANODIZED NICKEL	14	4
-Brand#11	SMALL ANODIZED TIN	14	4
-Brand#11	SMALL ANODIZED TIN	19	4
-Brand#11	SMALL ANODIZED TIN	45	4
-Brand#11	SMALL BRUSHED TIN	14	4
-Brand#11	SMALL BRUSHED TIN	23	4
-Brand#11	SMALL BRUSHED TIN	45	4
-Brand#11	SMALL BURNISHED BRASS	49	4
-Brand#11	SMALL BURNISHED COPPER	23	4
-Brand#11	SMALL PLATED COPPER	45	4
-Brand#11	SMALL PLATED NICKEL	3	4
-Brand#11	SMALL PLATED STEEL	36	4
-Brand#11	SMALL PLATED TIN	19	4
-Brand#11	SMALL POLISHED BRASS	14	4
-Brand#11	SMALL POLISHED BRASS	23	4
-Brand#11	SMALL POLISHED COPPER	14	4
-Brand#11	SMALL POLISHED COPPER	36	4
-Brand#11	SMALL POLISHED STEEL	9	4
-Brand#11	STANDARD BRUSHED COPPER	23	4
-Brand#11	STANDARD BRUSHED NICKEL	14	4
-Brand#11	STANDARD BRUSHED TIN	14	4
-Brand#11	STANDARD BURNISHED BRASS	3	4
-Brand#11	STANDARD BURNISHED STEEL	23	4
-Brand#11	STANDARD PLATED BRASS	19	4
-Brand#11	STANDARD PLATED TIN	19	4
-Brand#11	STANDARD POLISHED NICKEL	45	4
-Brand#11	STANDARD POLISHED TIN	14	4
-Brand#11	STANDARD POLISHED TIN	45	4
-Brand#12	ECONOMY ANODIZED BRASS	23	4
-Brand#12	ECONOMY ANODIZED COPPER	14	4
-Brand#12	ECONOMY ANODIZED NICKEL	19	4
-Brand#12	ECONOMY ANODIZED NICKEL	45	4
-Brand#12	ECONOMY ANODIZED STEEL	9	4
-Brand#12	ECONOMY BRUSHED COPPER	36	4
-Brand#12	ECONOMY BRUSHED NICKEL	49	4
-Brand#12	ECONOMY BRUSHED STEEL	49	4
-Brand#12	ECONOMY BURNISHED COPPER	45	4
-Brand#12	ECONOMY PLATED COPPER	23	4
-Brand#12	ECONOMY PLATED STEEL	23	4
-Brand#12	ECONOMY PLATED TIN	36	4
-Brand#12	ECONOMY POLISHED BRASS	14	4
-Brand#12	ECONOMY POLISHED COPPER	45	4
-Brand#12	ECONOMY POLISHED NICKEL	9	4
-Brand#12	LARGE ANODIZED NICKEL	9	4
-Brand#12	LARGE ANODIZED NICKEL	49	4
-Brand#12	LARGE ANODIZED STEEL	49	4
-Brand#12	LARGE ANODIZED TIN	36	4
-Brand#12	LARGE ANODIZED TIN	45	4
-Brand#12	LARGE BURNISHED BRASS	14	4
-Brand#12	LARGE BURNISHED BRASS	19	4
-Brand#12	LARGE BURNISHED COPPER	9	4
-Brand#12	LARGE BURNISHED NICKEL	45	4
-Brand#12	LARGE BURNISHED TIN	36	4
-Brand#12	LARGE PLATED BRASS	3	4
-Brand#12	LARGE PLATED STEEL	36	4
-Brand#12	LARGE PLATED STEEL	45	4
-Brand#12	LARGE PLATED TIN	23	4
-Brand#12	LARGE POLISHED COPPER	14	4
-Brand#12	LARGE POLISHED COPPER	19	4
-Brand#12	LARGE POLISHED COPPER	49	4
-Brand#12	LARGE POLISHED STEEL	3	4
-Brand#12	MEDIUM ANODIZED COPPER	9	4
-Brand#12	MEDIUM ANODIZED COPPER	45	4
-Brand#12	MEDIUM ANODIZED NICKEL	45	4
-Brand#12	MEDIUM BRUSHED BRASS	19	4
-Brand#12	MEDIUM BRUSHED COPPER	9	4
-Brand#12	MEDIUM BRUSHED COPPER	36	4
-Brand#12	MEDIUM BRUSHED COPPER	49	4
-Brand#12	MEDIUM BRUSHED NICKEL	3	4
-Brand#12	MEDIUM BRUSHED NICKEL	14	4
-Brand#12	MEDIUM BRUSHED NICKEL	23	4
-Brand#12	MEDIUM BURNISHED BRASS	3	4
-Brand#12	MEDIUM BURNISHED COPPER	36	4
-Brand#12	MEDIUM BURNISHED NICKEL	19	4
-Brand#12	MEDIUM BURNISHED TIN	14	4
-Brand#12	MEDIUM PLATED BRASS	23	4
-Brand#12	MEDIUM PLATED TIN	19	4
-Brand#12	MEDIUM PLATED TIN	23	4
-Brand#12	MEDIUM PLATED TIN	49	4
-Brand#12	PROMO ANODIZED BRASS	9	4
-Brand#12	PROMO ANODIZED BRASS	45	4
-Brand#12	PROMO ANODIZED NICKEL	14	4
-Brand#12	PROMO ANODIZED STEEL	49	4
-Brand#12	PROMO ANODIZED TIN	3	4
-Brand#12	PROMO ANODIZED TIN	19	4
-Brand#12	PROMO BRUSHED COPPER	14	4
-Brand#12	PROMO BRUSHED COPPER	19	4
-Brand#12	PROMO BRUSHED NICKEL	23	4
-Brand#12	PROMO BRUSHED STEEL	23	4
-Brand#12	PROMO BRUSHED STEEL	36	4
-Brand#12	PROMO BURNISHED BRASS	49	4
-Brand#12	PROMO BURNISHED TIN	9	4
-Brand#12	PROMO BURNISHED TIN	14	4
-Brand#12	PROMO PLATED BRASS	36	4
-Brand#12	PROMO POLISHED COPPER	23	4
-Brand#12	PROMO POLISHED NICKEL	3	4
-Brand#12	PROMO POLISHED NICKEL	9	4
-Brand#12	PROMO POLISHED STEEL	14	4
-Brand#12	PROMO POLISHED TIN	23	4
-Brand#12	PROMO POLISHED TIN	36	4
-Brand#12	SMALL ANODIZED BRASS	36	4
-Brand#12	SMALL ANODIZED COPPER	23	4
-Brand#12	SMALL ANODIZED STEEL	36	4
-Brand#12	SMALL ANODIZED TIN	14	4
-Brand#12	SMALL BRUSHED COPPER	19	4
-Brand#12	SMALL BRUSHED COPPER	36	4
-Brand#12	SMALL BRUSHED TIN	36	4
-Brand#12	SMALL BURNISHED BRASS	14	4
-Brand#12	SMALL BURNISHED COPPER	9	4
-Brand#12	SMALL BURNISHED COPPER	36	4
-Brand#12	SMALL PLATED BRASS	9	4
-Brand#12	SMALL POLISHED BRASS	49	4
-Brand#12	SMALL POLISHED NICKEL	19	4
-Brand#12	SMALL POLISHED TIN	3	4
-Brand#12	STANDARD ANODIZED BRASS	19	4
-Brand#12	STANDARD ANODIZED NICKEL	19	4
-Brand#12	STANDARD ANODIZED STEEL	19	4
-Brand#12	STANDARD BRUSHED COPPER	36	4
-Brand#12	STANDARD BRUSHED NICKEL	23	4
-Brand#12	STANDARD BRUSHED STEEL	49	4
-Brand#12	STANDARD BURNISHED BRASS	23	4
-Brand#12	STANDARD BURNISHED COPPER	14	4
-Brand#12	STANDARD BURNISHED NICKEL	45	4
-Brand#12	STANDARD BURNISHED NICKEL	49	4
-Brand#12	STANDARD BURNISHED TIN	3	4
-Brand#12	STANDARD BURNISHED TIN	14	4
-Brand#12	STANDARD PLATED BRASS	19	4
-Brand#12	STANDARD PLATED NICKEL	45	4
-Brand#12	STANDARD PLATED STEEL	36	4
-Brand#12	STANDARD PLATED STEEL	45	4
-Brand#12	STANDARD PLATED TIN	9	4
-Brand#12	STANDARD POLISHED BRASS	49	4
-Brand#12	STANDARD POLISHED COPPER	3	4
-Brand#12	STANDARD POLISHED NICKEL	23	4
-Brand#12	STANDARD POLISHED TIN	14	4
-Brand#13	ECONOMY ANODIZED NICKEL	14	4
-Brand#13	ECONOMY ANODIZED NICKEL	19	4
-Brand#13	ECONOMY ANODIZED STEEL	45	4
-Brand#13	ECONOMY ANODIZED STEEL	49	4
-Brand#13	ECONOMY BRUSHED BRASS	3	4
-Brand#13	ECONOMY BURNISHED STEEL	14	4
-Brand#13	ECONOMY BURNISHED TIN	19	4
-Brand#13	ECONOMY BURNISHED TIN	45	4
-Brand#13	ECONOMY PLATED COPPER	19	4
-Brand#13	ECONOMY PLATED NICKEL	3	4
-Brand#13	ECONOMY PLATED STEEL	23	4
-Brand#13	ECONOMY PLATED TIN	3	4
-Brand#13	ECONOMY POLISHED BRASS	3	4
-Brand#13	ECONOMY POLISHED COPPER	9	4
-Brand#13	ECONOMY POLISHED COPPER	49	4
-Brand#13	ECONOMY POLISHED STEEL	23	4
-Brand#13	ECONOMY POLISHED STEEL	49	4
-Brand#13	LARGE ANODIZED BRASS	23	4
-Brand#13	LARGE ANODIZED COPPER	19	4
-Brand#13	LARGE ANODIZED NICKEL	9	4
-Brand#13	LARGE ANODIZED STEEL	45	4
-Brand#13	LARGE ANODIZED TIN	19	4
-Brand#13	LARGE BRUSHED BRASS	3	4
-Brand#13	LARGE BRUSHED BRASS	9	4
-Brand#13	LARGE BRUSHED BRASS	19	4
-Brand#13	LARGE BRUSHED COPPER	9	4
-Brand#13	LARGE BRUSHED COPPER	36	4
-Brand#13	LARGE BRUSHED NICKEL	3	4
-Brand#13	LARGE BRUSHED NICKEL	9	4
-Brand#13	LARGE BRUSHED NICKEL	14	4
-Brand#13	LARGE BRUSHED NICKEL	23	4
-Brand#13	LARGE BRUSHED STEEL	19	4
-Brand#13	LARGE BRUSHED TIN	49	4
-Brand#13	LARGE BURNISHED BRASS	49	4
-Brand#13	LARGE BURNISHED TIN	49	4
-Brand#13	LARGE PLATED COPPER	23	4
-Brand#13	LARGE PLATED STEEL	14	4
-Brand#13	LARGE PLATED STEEL	19	4
-Brand#13	LARGE PLATED STEEL	36	4
-Brand#13	LARGE PLATED TIN	14	4
-Brand#13	LARGE PLATED TIN	45	4
-Brand#13	LARGE POLISHED BRASS	3	4
-Brand#13	LARGE POLISHED BRASS	23	4
-Brand#13	LARGE POLISHED BRASS	49	4
-Brand#13	MEDIUM ANODIZED BRASS	3	4
-Brand#13	MEDIUM ANODIZED BRASS	36	4
-Brand#13	MEDIUM ANODIZED COPPER	14	4
-Brand#13	MEDIUM ANODIZED NICKEL	3	4
-Brand#13	MEDIUM ANODIZED STEEL	14	4
-Brand#13	MEDIUM ANODIZED STEEL	19	4
-Brand#13	MEDIUM ANODIZED STEEL	36	4
-Brand#13	MEDIUM BRUSHED BRASS	49	4
-Brand#13	MEDIUM BRUSHED COPPER	23	4
-Brand#13	MEDIUM BRUSHED NICKEL	45	4
-Brand#13	MEDIUM BURNISHED BRASS	9	4
-Brand#13	MEDIUM BURNISHED STEEL	19	4
-Brand#13	MEDIUM BURNISHED STEEL	49	4
-Brand#13	MEDIUM PLATED BRASS	3	4
-Brand#13	MEDIUM PLATED BRASS	23	4
-Brand#13	MEDIUM PLATED BRASS	36	4
-Brand#13	MEDIUM PLATED COPPER	19	4
-Brand#13	MEDIUM PLATED COPPER	23	4
-Brand#13	MEDIUM PLATED STEEL	3	4
-Brand#13	PROMO ANODIZED BRASS	14	4
-Brand#13	PROMO ANODIZED COPPER	9	4
-Brand#13	PROMO ANODIZED COPPER	45	4
-Brand#13	PROMO ANODIZED STEEL	23	4
-Brand#13	PROMO BRUSHED COPPER	49	4
-Brand#13	PROMO BURNISHED COPPER	19	4
-Brand#13	PROMO BURNISHED NICKEL	9	4
-Brand#13	PROMO BURNISHED STEEL	23	4
-Brand#13	PROMO BURNISHED STEEL	45	4
-Brand#13	PROMO BURNISHED TIN	19	4
-Brand#13	PROMO PLATED BRASS	14	4
-Brand#13	PROMO PLATED BRASS	19	4
-Brand#13	PROMO PLATED COPPER	3	4
-Brand#13	PROMO PLATED COPPER	19	4
-Brand#13	PROMO PLATED TIN	19	4
-Brand#13	PROMO POLISHED BRASS	49	4
-Brand#13	PROMO POLISHED STEEL	45	4
-Brand#13	PROMO POLISHED TIN	14	4
-Brand#13	SMALL ANODIZED STEEL	23	4
-Brand#13	SMALL ANODIZED TIN	3	4
-Brand#13	SMALL ANODIZED TIN	45	4
-Brand#13	SMALL BRUSHED COPPER	3	4
-Brand#13	SMALL BRUSHED NICKEL	19	4
-Brand#13	SMALL BRUSHED TIN	9	4
-Brand#13	SMALL BRUSHED TIN	45	4
-Brand#13	SMALL BURNISHED BRASS	19	4
-Brand#13	SMALL BURNISHED BRASS	45	4
-Brand#13	SMALL PLATED BRASS	9	4
-Brand#13	SMALL PLATED TIN	45	4
-Brand#13	SMALL POLISHED NICKEL	19	4
-Brand#13	SMALL POLISHED STEEL	49	4
-Brand#13	STANDARD ANODIZED COPPER	45	4
-Brand#13	STANDARD ANODIZED NICKEL	9	4
-Brand#13	STANDARD ANODIZED NICKEL	19	4
-Brand#13	STANDARD ANODIZED STEEL	14	4
-Brand#13	STANDARD ANODIZED TIN	9	4
-Brand#13	STANDARD ANODIZED TIN	36	4
-Brand#13	STANDARD BRUSHED BRASS	19	4
-Brand#13	STANDARD BRUSHED TIN	9	4
-Brand#13	STANDARD BURNISHED BRASS	9	4
-Brand#13	STANDARD BURNISHED BRASS	14	4
-Brand#13	STANDARD BURNISHED COPPER	45	4
-Brand#13	STANDARD PLATED BRASS	49	4
-Brand#13	STANDARD PLATED COPPER	19	4
-Brand#13	STANDARD PLATED NICKEL	23	4
-Brand#13	STANDARD PLATED TIN	9	4
-Brand#13	STANDARD POLISHED BRASS	49	4
-Brand#13	STANDARD POLISHED COPPER	9	4
-Brand#13	STANDARD POLISHED COPPER	49	4
-Brand#13	STANDARD POLISHED NICKEL	14	4
-Brand#13	STANDARD POLISHED NICKEL	19	4
-Brand#13	STANDARD POLISHED STEEL	23	4
-Brand#14	ECONOMY ANODIZED BRASS	19	4
-Brand#14	ECONOMY ANODIZED COPPER	9	4
-Brand#14	ECONOMY ANODIZED STEEL	19	4
-Brand#14	ECONOMY ANODIZED STEEL	45	4
-Brand#14	ECONOMY BRUSHED BRASS	19	4
-Brand#14	ECONOMY BRUSHED COPPER	45	4
-Brand#14	ECONOMY BRUSHED NICKEL	14	4
-Brand#14	ECONOMY BRUSHED TIN	14	4
-Brand#14	ECONOMY BURNISHED COPPER	9	4
-Brand#14	ECONOMY BURNISHED COPPER	19	4
-Brand#14	ECONOMY BURNISHED STEEL	36	4
-Brand#14	ECONOMY BURNISHED TIN	3	4
-Brand#14	ECONOMY PLATED BRASS	36	4
-Brand#14	ECONOMY PLATED COPPER	49	4
-Brand#14	ECONOMY PLATED STEEL	45	4
-Brand#14	ECONOMY PLATED TIN	9	4
-Brand#14	ECONOMY POLISHED COPPER	3	4
-Brand#14	ECONOMY POLISHED TIN	19	4
-Brand#14	LARGE ANODIZED COPPER	9	4
-Brand#14	LARGE ANODIZED COPPER	23	4
-Brand#14	LARGE ANODIZED NICKEL	3	4
-Brand#14	LARGE ANODIZED NICKEL	9	4
-Brand#14	LARGE ANODIZED NICKEL	19	4
-Brand#14	LARGE ANODIZED TIN	9	4
-Brand#14	LARGE BRUSHED COPPER	14	4
-Brand#14	LARGE BRUSHED NICKEL	45	4
-Brand#14	LARGE PLATED BRASS	3	4
-Brand#14	LARGE PLATED NICKEL	3	4
-Brand#14	LARGE PLATED NICKEL	14	4
-Brand#14	LARGE PLATED NICKEL	49	4
-Brand#14	LARGE PLATED TIN	49	4
-Brand#14	LARGE POLISHED BRASS	9	4
-Brand#14	LARGE POLISHED BRASS	14	4
-Brand#14	LARGE POLISHED BRASS	36	4
-Brand#14	LARGE POLISHED NICKEL	3	4
-Brand#14	LARGE POLISHED NICKEL	14	4
-Brand#14	LARGE POLISHED STEEL	9	4
-Brand#14	LARGE POLISHED STEEL	23	4
-Brand#14	LARGE POLISHED STEEL	36	4
-Brand#14	MEDIUM ANODIZED NICKEL	3	4
-Brand#14	MEDIUM ANODIZED NICKEL	49	4
-Brand#14	MEDIUM ANODIZED STEEL	23	4
-Brand#14	MEDIUM ANODIZED STEEL	36	4
-Brand#14	MEDIUM BRUSHED BRASS	9	4
-Brand#14	MEDIUM BRUSHED COPPER	23	4
-Brand#14	MEDIUM BRUSHED STEEL	14	4
-Brand#14	MEDIUM BURNISHED COPPER	14	4
-Brand#14	MEDIUM BURNISHED STEEL	3	4
-Brand#14	MEDIUM BURNISHED STEEL	49	4
-Brand#14	MEDIUM PLATED BRASS	36	4
-Brand#14	MEDIUM PLATED STEEL	49	4
-Brand#14	MEDIUM PLATED TIN	14	4
-Brand#14	PROMO ANODIZED BRASS	49	4
-Brand#14	PROMO ANODIZED STEEL	36	4
-Brand#14	PROMO BRUSHED STEEL	19	4
-Brand#14	PROMO BURNISHED BRASS	23	4
-Brand#14	PROMO BURNISHED STEEL	36	4
-Brand#14	PROMO PLATED BRASS	9	4
-Brand#14	PROMO PLATED BRASS	45	4
-Brand#14	PROMO PLATED COPPER	45	4
-Brand#14	PROMO PLATED STEEL	3	4
-Brand#14	PROMO POLISHED BRASS	9	4
-Brand#14	PROMO POLISHED COPPER	49	4
-Brand#14	PROMO POLISHED STEEL	19	4
-Brand#14	SMALL ANODIZED STEEL	23	4
-Brand#14	SMALL ANODIZED TIN	23	4
-Brand#14	SMALL BRUSHED BRASS	19	4
-Brand#14	SMALL BRUSHED BRASS	36	4
-Brand#14	SMALL BRUSHED COPPER	9	4
-Brand#14	SMALL BRUSHED TIN	36	4
-Brand#14	SMALL BURNISHED BRASS	45	4
-Brand#14	SMALL BURNISHED COPPER	9	4
-Brand#14	SMALL BURNISHED COPPER	14	4
-Brand#14	SMALL BURNISHED COPPER	45	4
-Brand#14	SMALL BURNISHED NICKEL	36	4
-Brand#14	SMALL BURNISHED STEEL	36	4
-Brand#14	SMALL BURNISHED TIN	23	4
-Brand#14	SMALL PLATED NICKEL	3	4
-Brand#14	SMALL PLATED NICKEL	9	4
-Brand#14	SMALL PLATED STEEL	14	4
-Brand#14	SMALL POLISHED BRASS	36	4
-Brand#14	SMALL POLISHED COPPER	36	4
-Brand#14	SMALL POLISHED NICKEL	9	4
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-Brand#41	STANDARD BURNISHED BRASS	36	4
-Brand#41	STANDARD BURNISHED COPPER	49	4
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-Brand#42	LARGE ANODIZED NICKEL	49	4
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-Brand#42	LARGE BURNISHED BRASS	49	4
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-Brand#42	MEDIUM ANODIZED NICKEL	19	4
-Brand#42	MEDIUM ANODIZED NICKEL	23	4
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-Brand#42	MEDIUM ANODIZED STEEL	14	4
-Brand#42	MEDIUM ANODIZED STEEL	23	4
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-Brand#42	MEDIUM BURNISHED TIN	49	4
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-Brand#42	MEDIUM PLATED STEEL	23	4
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-Brand#42	STANDARD POLISHED BRASS	45	4
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-Brand#42	STANDARD POLISHED TIN	23	4
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-Brand#43	ECONOMY ANODIZED COPPER	45	4
-Brand#43	ECONOMY ANODIZED NICKEL	3	4
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-Brand#43	ECONOMY PLATED TIN	49	4
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-Brand#43	MEDIUM ANODIZED COPPER	49	4
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-Brand#43	PROMO PLATED COPPER	49	4
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-Brand#43	PROMO POLISHED BRASS	23	4
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-Brand#44	LARGE BURNISHED COPPER	3	4
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-Brand#44	LARGE BURNISHED COPPER	36	4
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-Brand#44	LARGE PLATED BRASS	49	4
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-Brand#44	MEDIUM BURNISHED TIN	23	4
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-Brand#44	PROMO PLATED COPPER	36	4
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-Brand#44	PROMO PLATED STEEL	49	4
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-Brand#44	PROMO POLISHED BRASS	19	4
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-Brand#44	STANDARD ANODIZED TIN	36	4
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-Brand#44	STANDARD BRUSHED TIN	9	4
-Brand#44	STANDARD BRUSHED TIN	49	4
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-Brand#44	STANDARD PLATED BRASS	23	4
-Brand#44	STANDARD PLATED BRASS	49	4
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-Brand#51	ECONOMY ANODIZED BRASS	23	4
-Brand#51	ECONOMY ANODIZED NICKEL	3	4
-Brand#51	ECONOMY ANODIZED NICKEL	23	4
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-Brand#51	ECONOMY ANODIZED STEEL	23	4
-Brand#51	ECONOMY ANODIZED STEEL	49	4
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-Brand#51	ECONOMY BRUSHED NICKEL	14	4
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-Brand#51	ECONOMY BURNISHED COPPER	45	4
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-Brand#51	ECONOMY POLISHED COPPER	9	4
-Brand#51	ECONOMY POLISHED STEEL	14	4
-Brand#51	ECONOMY POLISHED STEEL	49	4
-Brand#51	LARGE ANODIZED COPPER	9	4
-Brand#51	LARGE ANODIZED COPPER	49	4
-Brand#51	LARGE ANODIZED NICKEL	14	4
-Brand#51	LARGE ANODIZED STEEL	36	4
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-Brand#51	LARGE BURNISHED BRASS	36	4
-Brand#51	LARGE BURNISHED COPPER	14	4
-Brand#51	LARGE BURNISHED NICKEL	14	4
-Brand#51	LARGE PLATED BRASS	36	4
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-Brand#51	LARGE POLISHED NICKEL	23	4
-Brand#51	LARGE POLISHED NICKEL	36	4
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-Brand#51	MEDIUM ANODIZED COPPER	9	4
-Brand#51	MEDIUM ANODIZED STEEL	3	4
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-Brand#51	MEDIUM BRUSHED BRASS	45	4
-Brand#51	MEDIUM BRUSHED STEEL	3	4
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-Brand#51	MEDIUM BURNISHED NICKEL	3	4
-Brand#51	MEDIUM BURNISHED NICKEL	36	4
-Brand#51	MEDIUM BURNISHED STEEL	14	4
-Brand#51	MEDIUM BURNISHED TIN	9	4
-Brand#51	MEDIUM PLATED STEEL	19	4
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-Brand#51	PROMO ANODIZED NICKEL	14	4
-Brand#51	PROMO ANODIZED STEEL	23	4
-Brand#51	PROMO ANODIZED TIN	19	4
-Brand#51	PROMO BRUSHED BRASS	23	4
-Brand#51	PROMO BRUSHED COPPER	45	4
-Brand#51	PROMO BRUSHED STEEL	45	4
-Brand#51	PROMO BRUSHED TIN	9	4
-Brand#51	PROMO BURNISHED BRASS	19	4
-Brand#51	PROMO BURNISHED BRASS	23	4
-Brand#51	PROMO BURNISHED NICKEL	14	4
-Brand#51	PROMO PLATED BRASS	3	4
-Brand#51	PROMO PLATED BRASS	23	4
-Brand#51	PROMO PLATED TIN	19	4
-Brand#51	PROMO PLATED TIN	23	4
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-Brand#51	PROMO POLISHED COPPER	9	4
-Brand#51	PROMO POLISHED NICKEL	9	4
-Brand#51	PROMO POLISHED STEEL	49	4
-Brand#51	SMALL ANODIZED STEEL	14	4
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-Brand#51	SMALL PLATED COPPER	49	4
-Brand#51	SMALL PLATED NICKEL	3	4
-Brand#51	SMALL PLATED NICKEL	14	4
-Brand#51	SMALL PLATED STEEL	45	4
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-Brand#51	SMALL POLISHED NICKEL	23	4
-Brand#51	SMALL POLISHED STEEL	3	4
-Brand#51	SMALL POLISHED STEEL	19	4
-Brand#51	SMALL POLISHED STEEL	49	4
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-Brand#52	SMALL POLISHED BRASS	49	4
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-Brand#54	SMALL PLATED COPPER	36	4
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-Brand#54	STANDARD PLATED STEEL	3	4
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-Brand#55	ECONOMY BRUSHED COPPER	23	4
-Brand#55	ECONOMY BRUSHED COPPER	45	4
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-Brand#55	ECONOMY BURNISHED NICKEL	45	4
-Brand#55	ECONOMY BURNISHED TIN	45	4
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-Brand#55	LARGE BRUSHED BRASS	23	4
-Brand#55	LARGE BRUSHED BRASS	45	4
-Brand#55	LARGE BRUSHED COPPER	49	4
-Brand#55	LARGE BRUSHED NICKEL	9	4
-Brand#55	LARGE BRUSHED NICKEL	14	4
-Brand#55	LARGE BURNISHED BRASS	3	4
-Brand#55	LARGE BURNISHED COPPER	14	4
-Brand#55	LARGE BURNISHED COPPER	36	4
-Brand#55	LARGE PLATED BRASS	45	4
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-Brand#55	LARGE PLATED TIN	14	4
-Brand#55	LARGE PLATED TIN	23	4
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-Brand#55	LARGE POLISHED STEEL	45	4
-Brand#55	MEDIUM ANODIZED COPPER	9	4
-Brand#55	MEDIUM BRUSHED BRASS	3	4
-Brand#55	MEDIUM BRUSHED NICKEL	23	4
-Brand#55	MEDIUM BRUSHED TIN	45	4
-Brand#55	MEDIUM BURNISHED BRASS	23	4
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-Brand#55	MEDIUM BURNISHED STEEL	36	4
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-Brand#55	PROMO ANODIZED COPPER	14	4
-Brand#55	PROMO ANODIZED COPPER	49	4
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-Brand#55	PROMO BRUSHED TIN	9	4
-Brand#55	PROMO BURNISHED COPPER	3	4
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-Brand#55	PROMO BURNISHED TIN	49	4
-Brand#55	PROMO PLATED COPPER	3	4
-Brand#55	PROMO PLATED NICKEL	3	4
-Brand#55	PROMO PLATED NICKEL	14	4
-Brand#55	PROMO PLATED NICKEL	23	4
-Brand#55	PROMO PLATED TIN	3	4
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-Brand#55	SMALL ANODIZED BRASS	19	4
-Brand#55	SMALL ANODIZED NICKEL	45	4
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-Brand#55	SMALL PLATED COPPER	36	4
-Brand#55	SMALL PLATED COPPER	45	4
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-Brand#55	SMALL PLATED NICKEL	9	4
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-Brand#55	SMALL PLATED TIN	14	4
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-Brand#55	SMALL POLISHED NICKEL	45	4
-Brand#55	SMALL POLISHED STEEL	19	4
-Brand#55	SMALL POLISHED TIN	19	4
-Brand#55	STANDARD ANODIZED BRASS	36	4
-Brand#55	STANDARD ANODIZED BRASS	49	4
-Brand#55	STANDARD ANODIZED STEEL	19	4
-Brand#55	STANDARD ANODIZED TIN	36	4
-Brand#55	STANDARD ANODIZED TIN	49	4
-Brand#55	STANDARD BRUSHED BRASS	36	4
-Brand#55	STANDARD BRUSHED COPPER	3	4
-Brand#55	STANDARD BRUSHED COPPER	9	4
-Brand#55	STANDARD BRUSHED COPPER	23	4
-Brand#55	STANDARD BRUSHED STEEL	19	4
-Brand#55	STANDARD BRUSHED TIN	23	4
-Brand#55	STANDARD BRUSHED TIN	45	4
-Brand#55	STANDARD BURNISHED BRASS	19	4
-Brand#55	STANDARD BURNISHED NICKEL	3	4
-Brand#55	STANDARD BURNISHED NICKEL	36	4
-Brand#55	STANDARD BURNISHED STEEL	19	4
-Brand#55	STANDARD PLATED BRASS	23	4
-Brand#55	STANDARD PLATED NICKEL	9	4
-Brand#55	STANDARD PLATED TIN	36	4
-Brand#55	STANDARD POLISHED BRASS	3	4
-Brand#55	STANDARD POLISHED BRASS	49	4
-Brand#55	STANDARD POLISHED COPPER	19	4
-Brand#55	STANDARD POLISHED COPPER	36	4
-Brand#55	STANDARD POLISHED NICKEL	14	4
-Brand#55	STANDARD POLISHED STEEL	9	4
-Brand#55	STANDARD POLISHED STEEL	36	4
-Brand#12	LARGE BURNISHED NICKEL	14	3
-Brand#12	PROMO POLISHED TIN	3	3
-Brand#21	MEDIUM ANODIZED TIN	9	3
-Brand#22	PROMO BRUSHED BRASS	19	3
-Brand#22	PROMO BURNISHED COPPER	14	3
-Brand#43	STANDARD BRUSHED BRASS	23	3
-Brand#44	MEDIUM ANODIZED NICKEL	9	3
-Brand#53	MEDIUM BURNISHED BRASS	49	3
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q17.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q17.out
deleted file mode 100644
index 0a2aff3ca4..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q17.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q17 --
-23512.752857143
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q18.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q18.out
deleted file mode 100644
index c11724bfc5..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q18.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q18 --
-Customer#000001639	1639	502886	1994-04-12	456423.88	312.000000000
-Customer#000006655	6655	29158	1995-10-21	452805.02	305.000000000
-Customer#000014110	14110	565574	1995-09-24	425099.85	301.000000000
-Customer#000001775	1775	6882	1997-04-09	408368.10	303.000000000
-Customer#000011459	11459	551136	1993-05-19	386812.74	308.000000000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q19.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q19.out
deleted file mode 100644
index cac985e250..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q19.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q19 --
-168597.286000000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q20.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q20.out
deleted file mode 100644
index 66dc3b4db5..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q20.out
+++ /dev/null
@@ -1,12 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q20 --
-Supplier#000000157	,mEGorBfVIm
-Supplier#000000197	YC2Acon6kjY3zj3Fbxs2k4Vdf7X0cd2F
-Supplier#000000287	7a9SP7qW5Yku5PvSg
-Supplier#000000378	FfbhyCxWvcPrO8ltp9
-Supplier#000000530	0qwCMwobKY OcmLyfRXlagA8ukENJv,
-Supplier#000000555	TfB,a5bfl3Ah 3Z 74GqnNs6zKVGM
-Supplier#000000557	jj0wUYh9K3fG5Jhdhrkuy ,4
-Supplier#000000729	pqck2ppy758TQpZCUAjPvlU55K3QjfL7Bi
-Supplier#000000935	ij98czM 2KzWe7dDTOxB8sq0UfCdvrX
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q21.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q21.out
deleted file mode 100644
index b03644955e..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q21.out
+++ /dev/null
@@ -1,50 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q21 --
-Supplier#000000445	16
-Supplier#000000825	16
-Supplier#000000709	15
-Supplier#000000762	15
-Supplier#000000357	14
-Supplier#000000399	14
-Supplier#000000496	14
-Supplier#000000977	13
-Supplier#000000144	12
-Supplier#000000188	12
-Supplier#000000415	12
-Supplier#000000472	12
-Supplier#000000633	12
-Supplier#000000708	12
-Supplier#000000889	12
-Supplier#000000380	11
-Supplier#000000602	11
-Supplier#000000659	11
-Supplier#000000821	11
-Supplier#000000929	11
-Supplier#000000262	10
-Supplier#000000460	10
-Supplier#000000486	10
-Supplier#000000669	10
-Supplier#000000718	10
-Supplier#000000778	10
-Supplier#000000167	9
-Supplier#000000578	9
-Supplier#000000673	9
-Supplier#000000687	9
-Supplier#000000074	8
-Supplier#000000565	8
-Supplier#000000648	8
-Supplier#000000918	8
-Supplier#000000427	7
-Supplier#000000503	7
-Supplier#000000610	7
-Supplier#000000670	7
-Supplier#000000811	7
-Supplier#000000114	6
-Supplier#000000379	6
-Supplier#000000436	6
-Supplier#000000500	6
-Supplier#000000660	6
-Supplier#000000788	6
-Supplier#000000846	6
-Supplier#000000920	4
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q22.out b/regression-test/data/datev2/tpch_sf0.1_p1/sql/q22.out
deleted file mode 100644
index 0ccdcafe6e..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/sql/q22.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q22 --
-13	94	714035.050000000
-17	96	722560.150000000
-18	99	738012.520000000
-23	93	708285.250000000
-29	85	632693.460000000
-30	87	646748.020000000
-31	87	647372.500000000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q01.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q01.out
deleted file mode 100644
index a41db6bd81..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q01.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q01 --
-A	F	3774200.000000000	5320753880.690000000	5054096266.682800000	5256751331.449234000	25.537587117	36002.123829014	0.050144597	147790
-N	F	95257.000000000	133737795.840000000	127132372.651200000	132286291.229445000	25.300664011	35521.326916335	0.049394422	3765
-N	O	7459297.000000000	10512270008.900000000	9986238338.384700000	10385578376.585467000	25.545537671	36000.924688014	0.050095959	292000
-R	F	3785523.000000000	5337950526.470000000	5071818532.942000000	5274405503.049367000	25.525943857	35994.029214031	0.049989279	148301
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q02.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q02.out
deleted file mode 100644
index 29617e6969..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q02.out
+++ /dev/null
@@ -1,47 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q02 --
-9828.21	Supplier#000000647	UNITED KINGDOM	13120	Manufacturer#5	x5U7MBZmwfG9	33-258-202-4782	s the slyly even ideas poach fluffily 
-9508.37	Supplier#000000070	FRANCE	3563	Manufacturer#1	INWNH2w,OOWgNDq0BRCcBwOMQc6PdFDc4	16-821-608-1166	ests sleep quickly express ideas. ironic ideas haggle about the final T
-9508.37	Supplier#000000070	FRANCE	17268	Manufacturer#4	INWNH2w,OOWgNDq0BRCcBwOMQc6PdFDc4	16-821-608-1166	ests sleep quickly express ideas. ironic ideas haggle about the final T
-9453.01	Supplier#000000802	ROMANIA	10021	Manufacturer#5	,6HYXb4uaHITmtMBj4Ak57Pd	29-342-882-6463	gular frets. permanently special multipliers believe blithely alongs
-9453.01	Supplier#000000802	ROMANIA	13275	Manufacturer#4	,6HYXb4uaHITmtMBj4Ak57Pd	29-342-882-6463	gular frets. permanently special multipliers believe blithely alongs
-9192.10	Supplier#000000115	UNITED KINGDOM	13325	Manufacturer#1	nJ 2t0f7Ve,wL1,6WzGBJLNBUCKlsV	33-597-248-1220	es across the carefully express accounts boost caref
-9032.15	Supplier#000000959	GERMANY	4958	Manufacturer#4	8grA EHBnwOZhO	17-108-642-3106	nding dependencies nag furiou
-8702.02	Supplier#000000333	RUSSIA	11810	Manufacturer#3	MaVf XgwPdkiX4nfJGOis8Uu2zKiIZH	32-508-202-6136	oss the deposits cajole carefully even pinto beans. regular foxes detect alo
-8615.50	Supplier#000000812	FRANCE	10551	Manufacturer#2	8qh4tezyScl5bidLAysvutB,,ZI2dn6xP	16-585-724-6633	y quickly regular deposits? quickly pending packages after the caref
-8615.50	Supplier#000000812	FRANCE	13811	Manufacturer#4	8qh4tezyScl5bidLAysvutB,,ZI2dn6xP	16-585-724-6633	y quickly regular deposits? quickly pending packages after the caref
-8488.53	Supplier#000000367	RUSSIA	6854	Manufacturer#4	E Sv9brQVf43Mzz	32-458-198-9557	ages. carefully final excuses nag finally. carefully ironic deposits abov
-8430.52	Supplier#000000646	FRANCE	11384	Manufacturer#3	IUzsmT,2oBgjhWP2TlXTL6IkJH,4h,1SJRt	16-601-220-5489	ites among the always final ideas kindle according to the theodolites. notornis in
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-7392.78	Supplier#000000170	UNITED KINGDOM	7655	Manufacturer#2	RtsXQ,SunkA XHy9	33-803-340-5398	ake carefully across the quickly
-7205.20	Supplier#000000477	GERMANY	10956	Manufacturer#5	VtaNKN5Mqui5yh7j2ldd5waf	17-180-144-7991	 excuses wake express deposits. furiously careful asymptotes according to the carefull
-6820.35	Supplier#000000007	UNITED KINGDOM	13217	Manufacturer#5	s,4TicNGB4uO6PaSqNBUq	33-990-965-2201	s unwind silently furiously regular courts. final requests are deposits. requests wake quietly blit
-6721.70	Supplier#000000954	FRANCE	4191	Manufacturer#3	P3O5p UFz1QsLmZX	16-537-341-8517	ect blithely blithely final acco
-6329.90	Supplier#000000996	GERMANY	10735	Manufacturer#2	Wx4dQwOAwWjfSCGupfrM	17-447-811-3282	 ironic forges cajole blithely agai
-6173.87	Supplier#000000408	RUSSIA	18139	Manufacturer#1	qcor1u,vJXAokjnL5,dilyYNmh	32-858-724-2950	blithely pending packages cajole furiously slyly pending notornis. slyly final 
-5364.99	Supplier#000000785	RUSSIA	13784	Manufacturer#4	W VkHBpQyD3qjQjWGpWicOpmILFehmEdWy67kUGY	32-297-653-2203	 packages boost carefully. express ideas along
-5069.27	Supplier#000000328	GERMANY	16327	Manufacturer#1	SMm24d WG62	17-231-513-5721	he unusual ideas. slyly final packages a
-4941.88	Supplier#000000321	ROMANIA	7320	Manufacturer#5	pLngFl5yeMcHyov	29-573-279-1406	y final requests impress s
-4672.25	Supplier#000000239	RUSSIA	12238	Manufacturer#1	XO101kgHrJagK2FL1U6QCaTE ncCsMbeuTgK6o8	32-396-654-6826	arls wake furiously deposits. even, regular depen
-4586.49	Supplier#000000680	RUSSIA	5679	Manufacturer#3	UhvDfdEfJh,Qbe7VZb8uSGO2TU 0jEa6nXZXE	32-522-382-1620	 the regularly regular dependencies. carefully bold excuses under th
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-4315.15	Supplier#000000509	FRANCE	18972	Manufacturer#2	SF7dR8V5pK	16-298-154-3365	ronic orbits are furiously across the requests. quickly express ideas across the special, bold
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-3526.53	Supplier#000000553	FRANCE	17018	Manufacturer#3	a,liVofXbCJ	16-599-552-3755	lar dinos nag slyly brave
-3294.68	Supplier#000000350	GERMANY	4841	Manufacturer#4	KIFxV73eovmwhh	17-113-181-4017	e slyly special foxes. furiously unusual deposits detect carefully carefully ruthless foxes. quick
-2972.26	Supplier#000000016	RUSSIA	1015	Manufacturer#4	YjP5C55zHDXL7LalK27zfQnwejdpin4AMpvh	32-822-502-4215	ously express ideas haggle quickly dugouts? fu
-2963.09	Supplier#000000840	ROMANIA	3080	Manufacturer#2	iYzUIypKhC0Y	29-781-337-5584	eep blithely regular dependencies. blithely regular platelets sublate alongside o
-2221.25	Supplier#000000771	ROMANIA	13981	Manufacturer#2	lwZ I15rq9kmZXUNhl	29-986-304-9006	nal foxes eat slyly about the fluffily permanent id
-1381.97	Supplier#000000104	FRANCE	18103	Manufacturer#3	Dcl4yGrzqv3OPeRO49bKh78XmQEDR7PBXIs0m	16-434-972-6922	gular ideas. bravely bold deposits haggle through the carefully final deposits. slyly unusual idea
-906.07	Supplier#000000138	ROMANIA	8363	Manufacturer#4	utbplAm g7RmxVfYoNdhcrQGWuzRqPe0qHSwbKw	29-533-434-6776	ickly unusual requests cajole. accounts above the furiously special excuses 
-765.69	Supplier#000000799	RUSSIA	11276	Manufacturer#2	jwFN7ZB3T9sMF	32-579-339-1495	nusual requests. furiously unusual epitaphs integrate. slyly 
-727.89	Supplier#000000470	ROMANIA	6213	Manufacturer#3	XckbzsAgBLbUkdfjgJEPjmUMTM8ebSMEvI	29-165-289-1523	gular excuses. furiously regular excuses sleep slyly caref
-683.07	Supplier#000000651	RUSSIA	4888	Manufacturer#4	oWekiBV6s,1g	32-181-426-4490	ly regular requests cajole abou
-167.56	Supplier#000000290	FRANCE	2037	Manufacturer#1	6Bk06GVtwZaKqg01	16-675-286-5102	 the theodolites. ironic, ironic deposits above 
-91.39	Supplier#000000949	UNITED KINGDOM	9430	Manufacturer#2	a,UE,6nRVl2fCphkOoetR1ajIzAEJ1Aa1G1HV	33-332-697-2768	pinto beans. carefully express requests hagg
--314.06	Supplier#000000510	ROMANIA	17242	Manufacturer#4	VmXQl ,vY8JiEseo8Mv4zscvNCfsY	29-207-852-3454	 bold deposits. carefully even d
--820.89	Supplier#000000409	GERMANY	2156	Manufacturer#5	LyXUYFz7aXrvy65kKAbTatGzGS,NDBcdtD	17-719-517-9836	y final, slow theodolites. furiously regular req
--845.44	Supplier#000000704	ROMANIA	9926	Manufacturer#5	hQvlBqbqqnA5Dgo1BffRBX78tkkRu	29-300-896-5991	ctions. carefully sly requ
--942.73	Supplier#000000563	GERMANY	5797	Manufacturer#1	Rc7U1cRUhYs03JD	17-108-537-2691	slyly furiously final decoys; silent, special realms poach f
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q03.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q03.out
deleted file mode 100644
index cdd4a46118..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q03.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q03 --
-223140	355369.069800000	1995-03-14	0
-584291	354494.731800000	1995-02-21	0
-405063	353125.457700000	1995-03-03	0
-573861	351238.277000000	1995-03-09	0
-554757	349181.742600000	1995-03-14	0
-506021	321075.581000000	1995-03-10	0
-121604	318576.415400000	1995-03-07	0
-108514	314967.075400000	1995-02-20	0
-462502	312604.542000000	1995-03-08	0
-178727	309728.930600000	1995-02-25	0
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q04.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q04.out
deleted file mode 100644
index b93c53211d..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q04.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q04 --
-1-URGENT	999
-2-HIGH	997
-3-MEDIUM	1031
-4-NOT SPECIFIED	989
-5-LOW	1077
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q05.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q05.out
deleted file mode 100644
index a332d96904..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q05.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q05 --
-CHINA	7822103.000000000
-INDIA	6376121.508500000
-JAPAN	6000077.218400000
-INDONESIA	5580475.402700000
-VIETNAM	4497840.546600000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q06.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q06.out
deleted file mode 100644
index c357efdd86..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q06.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q06 --
-11803420.253400000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q07.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q07.out
deleted file mode 100644
index d23533052f..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q07.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q07 --
-FRANCE	GERMANY	1995	4637235.150100000
-FRANCE	GERMANY	1996	5224779.573600000
-GERMANY	FRANCE	1995	6232818.703700000
-GERMANY	FRANCE	1996	5557312.112100000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q08.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q08.out
deleted file mode 100644
index 393230bd64..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q08.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q08 --
-1995	0.028648741
-1996	0.018250279
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q09.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q09.out
deleted file mode 100644
index 68237da53b..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q09.out
+++ /dev/null
@@ -1,178 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q09 --
-ALGERIA	1998	2321785.368200000
-ALGERIA	1997	3685016.858900000
-ALGERIA	1996	4276597.425300000
-ALGERIA	1995	4418370.415400000
-ALGERIA	1994	3864849.952100000
-ALGERIA	1993	3541051.386500000
-ALGERIA	1992	4310013.348200000
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q10.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q10.out
deleted file mode 100644
index 278a8ee09a..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q10.out
+++ /dev/null
@@ -1,23 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q10 --
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q11.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q11.out
deleted file mode 100644
index 49f7cdda01..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q11.out
+++ /dev/null
@@ -1,2544 +0,0 @@
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diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q12.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q12.out
deleted file mode 100644
index 7aba8164dd..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q12.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q12 --
-MAIL	647	945
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q13.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q13.out
deleted file mode 100644
index 783b281744..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q13.out
+++ /dev/null
@@ -1,40 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q13 --
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q14.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q14.out
deleted file mode 100644
index b9ecff9a3a..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q14.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q14 --
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q15.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q15.out
deleted file mode 100644
index a32adf1372..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q15.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q15 --
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-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q16.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q16.out
deleted file mode 100644
index 2598eee6e8..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q16.out
+++ /dev/null
@@ -1,2765 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q16 --
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-Brand#41	PROMO PLATED STEEL	36	8
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-Brand#11	PROMO POLISHED BRASS	19	4
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-Brand#11	SMALL ANODIZED NICKEL	3	4
-Brand#11	SMALL ANODIZED NICKEL	14	4
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-Brand#11	SMALL BRUSHED TIN	45	4
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-Brand#11	SMALL BURNISHED COPPER	23	4
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-Brand#11	SMALL POLISHED COPPER	14	4
-Brand#11	SMALL POLISHED COPPER	36	4
-Brand#11	SMALL POLISHED STEEL	9	4
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-Brand#11	STANDARD BRUSHED NICKEL	14	4
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-Brand#11	STANDARD POLISHED TIN	45	4
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-Brand#12	ECONOMY ANODIZED COPPER	14	4
-Brand#12	ECONOMY ANODIZED NICKEL	19	4
-Brand#12	ECONOMY ANODIZED NICKEL	45	4
-Brand#12	ECONOMY ANODIZED STEEL	9	4
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-Brand#12	ECONOMY BRUSHED NICKEL	49	4
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-Brand#12	LARGE POLISHED COPPER	49	4
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-Brand#13	ECONOMY BURNISHED TIN	45	4
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-Brand#13	ECONOMY POLISHED COPPER	9	4
-Brand#13	ECONOMY POLISHED COPPER	49	4
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-Brand#13	ECONOMY POLISHED STEEL	49	4
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-Brand#13	LARGE BRUSHED NICKEL	9	4
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-Brand#13	MEDIUM ANODIZED COPPER	14	4
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-Brand#13	MEDIUM ANODIZED STEEL	36	4
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-Brand#13	MEDIUM BURNISHED STEEL	49	4
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-Brand#13	MEDIUM PLATED BRASS	36	4
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-Brand#13	PROMO ANODIZED COPPER	45	4
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-Brand#13	PROMO BURNISHED STEEL	45	4
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-Brand#13	PROMO PLATED BRASS	19	4
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-Brand#13	STANDARD BURNISHED BRASS	14	4
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-Brand#14	ECONOMY ANODIZED STEEL	45	4
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-Brand#14	PROMO PLATED BRASS	45	4
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-Brand#14	PROMO POLISHED COPPER	49	4
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-Brand#14	STANDARD BURNISHED BRASS	23	4
-Brand#14	STANDARD BURNISHED BRASS	49	4
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-Brand#14	STANDARD PLATED BRASS	36	4
-Brand#14	STANDARD PLATED COPPER	45	4
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-Brand#15	ECONOMY ANODIZED STEEL	36	4
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-Brand#15	LARGE ANODIZED BRASS	45	4
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-Brand#15	LARGE ANODIZED NICKEL	9	4
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-Brand#15	LARGE BRUSHED COPPER	14	4
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-Brand#15	LARGE BRUSHED STEEL	14	4
-Brand#15	LARGE BRUSHED STEEL	19	4
-Brand#15	LARGE BRUSHED STEEL	36	4
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-Brand#15	LARGE BURNISHED BRASS	19	4
-Brand#15	LARGE BURNISHED COPPER	9	4
-Brand#15	LARGE BURNISHED COPPER	45	4
-Brand#15	LARGE BURNISHED TIN	49	4
-Brand#15	LARGE PLATED BRASS	19	4
-Brand#15	LARGE PLATED COPPER	3	4
-Brand#15	LARGE PLATED COPPER	23	4
-Brand#15	LARGE PLATED NICKEL	36	4
-Brand#15	MEDIUM ANODIZED BRASS	23	4
-Brand#15	MEDIUM ANODIZED COPPER	9	4
-Brand#15	MEDIUM ANODIZED NICKEL	3	4
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-Brand#15	MEDIUM BURNISHED TIN	45	4
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-Brand#15	MEDIUM PLATED NICKEL	9	4
-Brand#15	MEDIUM PLATED NICKEL	19	4
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-Brand#15	MEDIUM PLATED STEEL	49	4
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-Brand#15	MEDIUM PLATED TIN	14	4
-Brand#15	MEDIUM PLATED TIN	23	4
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-Brand#15	PROMO ANODIZED STEEL	14	4
-Brand#15	PROMO ANODIZED TIN	45	4
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-Brand#15	PROMO BRUSHED COPPER	19	4
-Brand#15	PROMO BRUSHED NICKEL	19	4
-Brand#15	PROMO BRUSHED NICKEL	23	4
-Brand#15	PROMO BRUSHED STEEL	14	4
-Brand#15	PROMO BRUSHED TIN	36	4
-Brand#15	PROMO BURNISHED NICKEL	9	4
-Brand#15	PROMO BURNISHED STEEL	45	4
-Brand#15	PROMO PLATED COPPER	3	4
-Brand#15	PROMO PLATED COPPER	36	4
-Brand#15	PROMO PLATED STEEL	3	4
-Brand#15	PROMO PLATED TIN	49	4
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-Brand#15	PROMO POLISHED STEEL	36	4
-Brand#15	PROMO POLISHED TIN	49	4
-Brand#15	SMALL ANODIZED BRASS	14	4
-Brand#15	SMALL ANODIZED BRASS	19	4
-Brand#15	SMALL ANODIZED COPPER	9	4
-Brand#15	SMALL ANODIZED TIN	45	4
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-Brand#15	SMALL BRUSHED COPPER	19	4
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-Brand#15	SMALL BRUSHED TIN	45	4
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-Brand#15	SMALL BURNISHED COPPER	14	4
-Brand#15	SMALL BURNISHED NICKEL	19	4
-Brand#15	SMALL BURNISHED NICKEL	49	4
-Brand#15	SMALL BURNISHED STEEL	9	4
-Brand#15	SMALL BURNISHED TIN	19	4
-Brand#15	SMALL BURNISHED TIN	23	4
-Brand#15	SMALL BURNISHED TIN	36	4
-Brand#15	SMALL PLATED BRASS	3	4
-Brand#15	SMALL PLATED COPPER	23	4
-Brand#15	SMALL PLATED COPPER	49	4
-Brand#15	SMALL PLATED NICKEL	36	4
-Brand#15	SMALL PLATED NICKEL	45	4
-Brand#15	SMALL PLATED STEEL	3	4
-Brand#15	SMALL PLATED TIN	9	4
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-Brand#15	SMALL POLISHED NICKEL	3	4
-Brand#15	SMALL POLISHED STEEL	19	4
-Brand#15	SMALL POLISHED STEEL	36	4
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-Brand#15	SMALL POLISHED TIN	49	4
-Brand#15	STANDARD ANODIZED NICKEL	19	4
-Brand#15	STANDARD ANODIZED NICKEL	49	4
-Brand#15	STANDARD ANODIZED TIN	36	4
-Brand#15	STANDARD BRUSHED NICKEL	3	4
-Brand#15	STANDARD BURNISHED BRASS	23	4
-Brand#15	STANDARD BURNISHED STEEL	3	4
-Brand#15	STANDARD BURNISHED STEEL	45	4
-Brand#15	STANDARD PLATED BRASS	36	4
-Brand#15	STANDARD PLATED COPPER	14	4
-Brand#15	STANDARD PLATED COPPER	23	4
-Brand#15	STANDARD PLATED NICKEL	19	4
-Brand#15	STANDARD PLATED TIN	45	4
-Brand#15	STANDARD POLISHED BRASS	14	4
-Brand#15	STANDARD POLISHED COPPER	23	4
-Brand#15	STANDARD POLISHED NICKEL	45	4
-Brand#21	ECONOMY ANODIZED BRASS	3	4
-Brand#21	ECONOMY ANODIZED NICKEL	14	4
-Brand#21	ECONOMY ANODIZED STEEL	19	4
-Brand#21	ECONOMY ANODIZED STEEL	23	4
-Brand#21	ECONOMY ANODIZED STEEL	49	4
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-Brand#42	PROMO BURNISHED NICKEL	3	4
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-Brand#42	STANDARD ANODIZED NICKEL	45	4
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-Brand#43	LARGE POLISHED COPPER	19	4
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-Brand#43	STANDARD PLATED BRASS	19	4
-Brand#43	STANDARD PLATED BRASS	49	4
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-Brand#44	ECONOMY POLISHED NICKEL	23	4
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-Brand#44	LARGE BURNISHED COPPER	19	4
-Brand#44	LARGE BURNISHED COPPER	36	4
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-Brand#44	PROMO PLATED STEEL	49	4
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-Brand#44	STANDARD PLATED BRASS	49	4
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-Brand#52	MEDIUM PLATED STEEL	49	4
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-Brand#52	PROMO ANODIZED BRASS	36	4
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-Brand#52	PROMO BRUSHED NICKEL	49	4
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-Brand#52	PROMO BURNISHED STEEL	23	4
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-Brand#52	PROMO PLATED BRASS	45	4
-Brand#52	PROMO PLATED BRASS	49	4
-Brand#52	PROMO PLATED COPPER	9	4
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-Brand#52	PROMO PLATED NICKEL	23	4
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-Brand#52	PROMO POLISHED NICKEL	49	4
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-Brand#52	SMALL ANODIZED BRASS	14	4
-Brand#52	SMALL ANODIZED COPPER	3	4
-Brand#52	SMALL ANODIZED NICKEL	36	4
-Brand#52	SMALL ANODIZED STEEL	9	4
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-Brand#52	SMALL BURNISHED NICKEL	49	4
-Brand#52	SMALL BURNISHED TIN	9	4
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-Brand#52	SMALL POLISHED BRASS	49	4
-Brand#52	SMALL POLISHED TIN	45	4
-Brand#52	STANDARD ANODIZED BRASS	45	4
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-Brand#52	STANDARD BRUSHED COPPER	14	4
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-Brand#52	STANDARD BURNISHED BRASS	49	4
-Brand#52	STANDARD BURNISHED STEEL	19	4
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-Brand#52	STANDARD BURNISHED TIN	19	4
-Brand#52	STANDARD PLATED NICKEL	36	4
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-Brand#52	STANDARD POLISHED BRASS	36	4
-Brand#52	STANDARD POLISHED COPPER	45	4
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-Brand#53	ECONOMY ANODIZED BRASS	45	4
-Brand#53	ECONOMY ANODIZED COPPER	9	4
-Brand#53	ECONOMY ANODIZED NICKEL	3	4
-Brand#53	ECONOMY ANODIZED NICKEL	19	4
-Brand#53	ECONOMY ANODIZED STEEL	45	4
-Brand#53	ECONOMY ANODIZED TIN	14	4
-Brand#53	ECONOMY ANODIZED TIN	36	4
-Brand#53	ECONOMY BRUSHED TIN	45	4
-Brand#53	ECONOMY BURNISHED BRASS	14	4
-Brand#53	ECONOMY BURNISHED COPPER	45	4
-Brand#53	ECONOMY BURNISHED NICKEL	3	4
-Brand#53	ECONOMY BURNISHED NICKEL	49	4
-Brand#53	ECONOMY BURNISHED TIN	45	4
-Brand#53	ECONOMY PLATED BRASS	3	4
-Brand#53	ECONOMY PLATED NICKEL	14	4
-Brand#53	ECONOMY PLATED STEEL	23	4
-Brand#53	ECONOMY PLATED STEEL	36	4
-Brand#53	ECONOMY POLISHED TIN	36	4
-Brand#53	LARGE ANODIZED NICKEL	49	4
-Brand#53	LARGE ANODIZED STEEL	19	4
-Brand#53	LARGE BRUSHED COPPER	3	4
-Brand#53	LARGE BRUSHED COPPER	14	4
-Brand#53	LARGE BRUSHED NICKEL	23	4
-Brand#53	LARGE BRUSHED NICKEL	36	4
-Brand#53	LARGE BRUSHED TIN	36	4
-Brand#53	LARGE BURNISHED BRASS	45	4
-Brand#53	LARGE BURNISHED COPPER	19	4
-Brand#53	LARGE BURNISHED COPPER	36	4
-Brand#53	LARGE BURNISHED NICKEL	23	4
-Brand#53	LARGE BURNISHED STEEL	19	4
-Brand#53	LARGE BURNISHED STEEL	23	4
-Brand#53	LARGE PLATED BRASS	9	4
-Brand#53	LARGE PLATED BRASS	45	4
-Brand#53	LARGE PLATED BRASS	49	4
-Brand#53	LARGE PLATED COPPER	23	4
-Brand#53	LARGE PLATED NICKEL	23	4
-Brand#53	LARGE PLATED NICKEL	49	4
-Brand#53	LARGE PLATED STEEL	49	4
-Brand#53	LARGE PLATED TIN	14	4
-Brand#53	LARGE POLISHED COPPER	49	4
-Brand#53	LARGE POLISHED STEEL	36	4
-Brand#53	LARGE POLISHED TIN	9	4
-Brand#53	MEDIUM ANODIZED BRASS	23	4
-Brand#53	MEDIUM ANODIZED STEEL	14	4
-Brand#53	MEDIUM ANODIZED STEEL	36	4
-Brand#53	MEDIUM ANODIZED TIN	3	4
-Brand#53	MEDIUM ANODIZED TIN	9	4
-Brand#53	MEDIUM BRUSHED BRASS	3	4
-Brand#53	MEDIUM BRUSHED COPPER	3	4
-Brand#53	MEDIUM BRUSHED NICKEL	14	4
-Brand#53	MEDIUM BRUSHED NICKEL	36	4
-Brand#53	MEDIUM BRUSHED NICKEL	49	4
-Brand#53	MEDIUM BRUSHED STEEL	45	4
-Brand#53	MEDIUM BURNISHED BRASS	3	4
-Brand#53	MEDIUM BURNISHED BRASS	36	4
-Brand#53	MEDIUM BURNISHED TIN	9	4
-Brand#53	MEDIUM BURNISHED TIN	14	4
-Brand#53	MEDIUM BURNISHED TIN	36	4
-Brand#53	MEDIUM PLATED BRASS	23	4
-Brand#53	MEDIUM PLATED COPPER	14	4
-Brand#53	MEDIUM PLATED NICKEL	45	4
-Brand#53	MEDIUM PLATED TIN	19	4
-Brand#53	MEDIUM PLATED TIN	45	4
-Brand#53	PROMO ANODIZED BRASS	36	4
-Brand#53	PROMO ANODIZED NICKEL	3	4
-Brand#53	PROMO ANODIZED NICKEL	19	4
-Brand#53	PROMO BRUSHED BRASS	45	4
-Brand#53	PROMO BRUSHED COPPER	3	4
-Brand#53	PROMO BRUSHED COPPER	23	4
-Brand#53	PROMO BRUSHED COPPER	45	4
-Brand#53	PROMO BURNISHED BRASS	23	4
-Brand#53	PROMO BURNISHED BRASS	36	4
-Brand#53	PROMO BURNISHED NICKEL	23	4
-Brand#53	PROMO BURNISHED STEEL	23	4
-Brand#53	PROMO BURNISHED STEEL	49	4
-Brand#53	PROMO PLATED TIN	19	4
-Brand#53	PROMO PLATED TIN	23	4
-Brand#53	PROMO PLATED TIN	36	4
-Brand#53	PROMO POLISHED STEEL	23	4
-Brand#53	PROMO POLISHED TIN	3	4
-Brand#53	SMALL ANODIZED COPPER	23	4
-Brand#53	SMALL ANODIZED COPPER	36	4
-Brand#53	SMALL ANODIZED COPPER	49	4
-Brand#53	SMALL ANODIZED NICKEL	36	4
-Brand#53	SMALL BRUSHED BRASS	36	4
-Brand#53	SMALL BRUSHED COPPER	3	4
-Brand#53	SMALL BRUSHED TIN	3	4
-Brand#53	SMALL BRUSHED TIN	36	4
-Brand#53	SMALL BURNISHED BRASS	9	4
-Brand#53	SMALL BURNISHED BRASS	49	4
-Brand#53	SMALL BURNISHED COPPER	19	4
-Brand#53	SMALL BURNISHED COPPER	45	4
-Brand#53	SMALL PLATED BRASS	9	4
-Brand#53	SMALL PLATED COPPER	3	4
-Brand#53	SMALL PLATED NICKEL	14	4
-Brand#53	SMALL POLISHED NICKEL	19	4
-Brand#53	SMALL POLISHED STEEL	36	4
-Brand#53	SMALL POLISHED TIN	23	4
-Brand#53	STANDARD ANODIZED BRASS	14	4
-Brand#53	STANDARD ANODIZED NICKEL	9	4
-Brand#53	STANDARD ANODIZED NICKEL	23	4
-Brand#53	STANDARD ANODIZED NICKEL	45	4
-Brand#53	STANDARD ANODIZED STEEL	45	4
-Brand#53	STANDARD BRUSHED COPPER	3	4
-Brand#53	STANDARD BRUSHED NICKEL	23	4
-Brand#53	STANDARD BRUSHED TIN	14	4
-Brand#53	STANDARD BURNISHED NICKEL	49	4
-Brand#53	STANDARD BURNISHED STEEL	9	4
-Brand#53	STANDARD PLATED BRASS	36	4
-Brand#53	STANDARD PLATED COPPER	45	4
-Brand#53	STANDARD PLATED NICKEL	36	4
-Brand#53	STANDARD PLATED STEEL	3	4
-Brand#53	STANDARD PLATED STEEL	49	4
-Brand#53	STANDARD PLATED TIN	23	4
-Brand#53	STANDARD POLISHED STEEL	3	4
-Brand#54	ECONOMY ANODIZED BRASS	9	4
-Brand#54	ECONOMY ANODIZED BRASS	45	4
-Brand#54	ECONOMY ANODIZED COPPER	9	4
-Brand#54	ECONOMY ANODIZED STEEL	19	4
-Brand#54	ECONOMY BRUSHED BRASS	45	4
-Brand#54	ECONOMY BRUSHED NICKEL	19	4
-Brand#54	ECONOMY BRUSHED STEEL	3	4
-Brand#54	ECONOMY BRUSHED TIN	19	4
-Brand#54	ECONOMY BURNISHED BRASS	45	4
-Brand#54	ECONOMY BURNISHED COPPER	14	4
-Brand#54	ECONOMY BURNISHED NICKEL	9	4
-Brand#54	ECONOMY BURNISHED NICKEL	36	4
-Brand#54	ECONOMY BURNISHED STEEL	36	4
-Brand#54	ECONOMY BURNISHED TIN	9	4
-Brand#54	ECONOMY BURNISHED TIN	14	4
-Brand#54	ECONOMY BURNISHED TIN	23	4
-Brand#54	ECONOMY PLATED TIN	23	4
-Brand#54	ECONOMY POLISHED BRASS	9	4
-Brand#54	ECONOMY POLISHED BRASS	19	4
-Brand#54	ECONOMY POLISHED COPPER	23	4
-Brand#54	ECONOMY POLISHED STEEL	23	4
-Brand#54	ECONOMY POLISHED TIN	3	4
-Brand#54	LARGE ANODIZED BRASS	14	4
-Brand#54	LARGE ANODIZED BRASS	49	4
-Brand#54	LARGE ANODIZED TIN	9	4
-Brand#54	LARGE BRUSHED BRASS	14	4
-Brand#54	LARGE BRUSHED STEEL	9	4
-Brand#54	LARGE BRUSHED STEEL	23	4
-Brand#54	LARGE BRUSHED TIN	14	4
-Brand#54	LARGE BURNISHED BRASS	49	4
-Brand#54	LARGE BURNISHED COPPER	19	4
-Brand#54	LARGE BURNISHED NICKEL	14	4
-Brand#54	LARGE BURNISHED TIN	14	4
-Brand#54	LARGE PLATED BRASS	19	4
-Brand#54	LARGE PLATED BRASS	23	4
-Brand#54	LARGE POLISHED BRASS	19	4
-Brand#54	LARGE POLISHED BRASS	23	4
-Brand#54	LARGE POLISHED NICKEL	3	4
-Brand#54	LARGE POLISHED NICKEL	14	4
-Brand#54	LARGE POLISHED STEEL	19	4
-Brand#54	LARGE POLISHED TIN	3	4
-Brand#54	LARGE POLISHED TIN	9	4
-Brand#54	LARGE POLISHED TIN	36	4
-Brand#54	MEDIUM ANODIZED NICKEL	9	4
-Brand#54	MEDIUM ANODIZED NICKEL	14	4
-Brand#54	MEDIUM ANODIZED NICKEL	36	4
-Brand#54	MEDIUM BRUSHED NICKEL	9	4
-Brand#54	MEDIUM BRUSHED NICKEL	19	4
-Brand#54	MEDIUM BURNISHED STEEL	3	4
-Brand#54	MEDIUM BURNISHED STEEL	19	4
-Brand#54	MEDIUM BURNISHED STEEL	23	4
-Brand#54	MEDIUM PLATED BRASS	3	4
-Brand#54	MEDIUM PLATED NICKEL	45	4
-Brand#54	PROMO ANODIZED NICKEL	45	4
-Brand#54	PROMO BRUSHED BRASS	3	4
-Brand#54	PROMO BRUSHED STEEL	23	4
-Brand#54	PROMO BRUSHED TIN	14	4
-Brand#54	PROMO BURNISHED COPPER	49	4
-Brand#54	PROMO BURNISHED TIN	9	4
-Brand#54	PROMO PLATED BRASS	14	4
-Brand#54	PROMO PLATED NICKEL	3	4
-Brand#54	PROMO PLATED STEEL	19	4
-Brand#54	PROMO PLATED TIN	23	4
-Brand#54	PROMO PLATED TIN	49	4
-Brand#54	PROMO POLISHED BRASS	3	4
-Brand#54	PROMO POLISHED NICKEL	9	4
-Brand#54	PROMO POLISHED TIN	49	4
-Brand#54	SMALL ANODIZED COPPER	49	4
-Brand#54	SMALL ANODIZED NICKEL	9	4
-Brand#54	SMALL ANODIZED NICKEL	36	4
-Brand#54	SMALL ANODIZED TIN	19	4
-Brand#54	SMALL BRUSHED BRASS	14	4
-Brand#54	SMALL BRUSHED BRASS	19	4
-Brand#54	SMALL BRUSHED BRASS	36	4
-Brand#54	SMALL BRUSHED COPPER	3	4
-Brand#54	SMALL BRUSHED COPPER	9	4
-Brand#54	SMALL BRUSHED COPPER	19	4
-Brand#54	SMALL BRUSHED TIN	9	4
-Brand#54	SMALL BRUSHED TIN	36	4
-Brand#54	SMALL BURNISHED COPPER	9	4
-Brand#54	SMALL BURNISHED COPPER	36	4
-Brand#54	SMALL BURNISHED STEEL	14	4
-Brand#54	SMALL BURNISHED STEEL	19	4
-Brand#54	SMALL BURNISHED TIN	9	4
-Brand#54	SMALL BURNISHED TIN	36	4
-Brand#54	SMALL PLATED BRASS	23	4
-Brand#54	SMALL PLATED COPPER	9	4
-Brand#54	SMALL PLATED COPPER	36	4
-Brand#54	SMALL PLATED COPPER	49	4
-Brand#54	SMALL PLATED NICKEL	9	4
-Brand#54	SMALL PLATED TIN	23	4
-Brand#54	SMALL PLATED TIN	36	4
-Brand#54	SMALL POLISHED BRASS	9	4
-Brand#54	SMALL POLISHED COPPER	9	4
-Brand#54	SMALL POLISHED TIN	9	4
-Brand#54	STANDARD ANODIZED BRASS	3	4
-Brand#54	STANDARD ANODIZED BRASS	9	4
-Brand#54	STANDARD ANODIZED COPPER	3	4
-Brand#54	STANDARD ANODIZED TIN	3	4
-Brand#54	STANDARD BRUSHED COPPER	3	4
-Brand#54	STANDARD BRUSHED NICKEL	45	4
-Brand#54	STANDARD BRUSHED TIN	36	4
-Brand#54	STANDARD BURNISHED BRASS	23	4
-Brand#54	STANDARD BURNISHED BRASS	49	4
-Brand#54	STANDARD BURNISHED COPPER	19	4
-Brand#54	STANDARD BURNISHED NICKEL	23	4
-Brand#54	STANDARD BURNISHED STEEL	45	4
-Brand#54	STANDARD PLATED BRASS	3	4
-Brand#54	STANDARD PLATED BRASS	45	4
-Brand#54	STANDARD PLATED BRASS	49	4
-Brand#54	STANDARD PLATED STEEL	3	4
-Brand#54	STANDARD POLISHED BRASS	36	4
-Brand#54	STANDARD POLISHED STEEL	3	4
-Brand#54	STANDARD POLISHED STEEL	14	4
-Brand#54	STANDARD POLISHED STEEL	45	4
-Brand#55	ECONOMY ANODIZED BRASS	3	4
-Brand#55	ECONOMY BRUSHED BRASS	19	4
-Brand#55	ECONOMY BRUSHED COPPER	9	4
-Brand#55	ECONOMY BRUSHED COPPER	23	4
-Brand#55	ECONOMY BRUSHED COPPER	45	4
-Brand#55	ECONOMY BRUSHED STEEL	23	4
-Brand#55	ECONOMY BURNISHED NICKEL	36	4
-Brand#55	ECONOMY BURNISHED NICKEL	45	4
-Brand#55	ECONOMY BURNISHED TIN	45	4
-Brand#55	ECONOMY PLATED NICKEL	19	4
-Brand#55	ECONOMY POLISHED NICKEL	9	4
-Brand#55	LARGE BRUSHED BRASS	23	4
-Brand#55	LARGE BRUSHED BRASS	45	4
-Brand#55	LARGE BRUSHED COPPER	49	4
-Brand#55	LARGE BRUSHED NICKEL	9	4
-Brand#55	LARGE BRUSHED NICKEL	14	4
-Brand#55	LARGE BURNISHED BRASS	3	4
-Brand#55	LARGE BURNISHED COPPER	14	4
-Brand#55	LARGE BURNISHED COPPER	36	4
-Brand#55	LARGE PLATED BRASS	45	4
-Brand#55	LARGE PLATED COPPER	19	4
-Brand#55	LARGE PLATED NICKEL	9	4
-Brand#55	LARGE PLATED STEEL	9	4
-Brand#55	LARGE PLATED TIN	9	4
-Brand#55	LARGE PLATED TIN	14	4
-Brand#55	LARGE PLATED TIN	23	4
-Brand#55	LARGE POLISHED NICKEL	3	4
-Brand#55	LARGE POLISHED STEEL	36	4
-Brand#55	LARGE POLISHED STEEL	45	4
-Brand#55	MEDIUM ANODIZED COPPER	9	4
-Brand#55	MEDIUM BRUSHED BRASS	3	4
-Brand#55	MEDIUM BRUSHED NICKEL	23	4
-Brand#55	MEDIUM BRUSHED TIN	45	4
-Brand#55	MEDIUM BURNISHED BRASS	23	4
-Brand#55	MEDIUM BURNISHED COPPER	36	4
-Brand#55	MEDIUM BURNISHED NICKEL	3	4
-Brand#55	MEDIUM BURNISHED STEEL	14	4
-Brand#55	MEDIUM BURNISHED STEEL	36	4
-Brand#55	MEDIUM PLATED NICKEL	23	4
-Brand#55	PROMO ANODIZED COPPER	14	4
-Brand#55	PROMO ANODIZED COPPER	49	4
-Brand#55	PROMO ANODIZED STEEL	36	4
-Brand#55	PROMO ANODIZED TIN	23	4
-Brand#55	PROMO BRUSHED NICKEL	36	4
-Brand#55	PROMO BRUSHED STEEL	3	4
-Brand#55	PROMO BRUSHED STEEL	36	4
-Brand#55	PROMO BRUSHED TIN	9	4
-Brand#55	PROMO BURNISHED COPPER	3	4
-Brand#55	PROMO BURNISHED STEEL	14	4
-Brand#55	PROMO BURNISHED TIN	23	4
-Brand#55	PROMO BURNISHED TIN	49	4
-Brand#55	PROMO PLATED COPPER	3	4
-Brand#55	PROMO PLATED NICKEL	3	4
-Brand#55	PROMO PLATED NICKEL	14	4
-Brand#55	PROMO PLATED NICKEL	23	4
-Brand#55	PROMO PLATED TIN	3	4
-Brand#55	PROMO POLISHED COPPER	3	4
-Brand#55	SMALL ANODIZED BRASS	19	4
-Brand#55	SMALL ANODIZED NICKEL	45	4
-Brand#55	SMALL BRUSHED COPPER	14	4
-Brand#55	SMALL BRUSHED COPPER	45	4
-Brand#55	SMALL BURNISHED BRASS	14	4
-Brand#55	SMALL BURNISHED TIN	3	4
-Brand#55	SMALL BURNISHED TIN	49	4
-Brand#55	SMALL PLATED BRASS	45	4
-Brand#55	SMALL PLATED COPPER	23	4
-Brand#55	SMALL PLATED COPPER	36	4
-Brand#55	SMALL PLATED COPPER	45	4
-Brand#55	SMALL PLATED COPPER	49	4
-Brand#55	SMALL PLATED NICKEL	9	4
-Brand#55	SMALL PLATED STEEL	9	4
-Brand#55	SMALL PLATED TIN	14	4
-Brand#55	SMALL PLATED TIN	36	4
-Brand#55	SMALL POLISHED NICKEL	45	4
-Brand#55	SMALL POLISHED STEEL	19	4
-Brand#55	SMALL POLISHED TIN	19	4
-Brand#55	STANDARD ANODIZED BRASS	36	4
-Brand#55	STANDARD ANODIZED BRASS	49	4
-Brand#55	STANDARD ANODIZED STEEL	19	4
-Brand#55	STANDARD ANODIZED TIN	36	4
-Brand#55	STANDARD ANODIZED TIN	49	4
-Brand#55	STANDARD BRUSHED BRASS	36	4
-Brand#55	STANDARD BRUSHED COPPER	3	4
-Brand#55	STANDARD BRUSHED COPPER	9	4
-Brand#55	STANDARD BRUSHED COPPER	23	4
-Brand#55	STANDARD BRUSHED STEEL	19	4
-Brand#55	STANDARD BRUSHED TIN	23	4
-Brand#55	STANDARD BRUSHED TIN	45	4
-Brand#55	STANDARD BURNISHED BRASS	19	4
-Brand#55	STANDARD BURNISHED NICKEL	3	4
-Brand#55	STANDARD BURNISHED NICKEL	36	4
-Brand#55	STANDARD BURNISHED STEEL	19	4
-Brand#55	STANDARD PLATED BRASS	23	4
-Brand#55	STANDARD PLATED NICKEL	9	4
-Brand#55	STANDARD PLATED TIN	36	4
-Brand#55	STANDARD POLISHED BRASS	3	4
-Brand#55	STANDARD POLISHED BRASS	49	4
-Brand#55	STANDARD POLISHED COPPER	19	4
-Brand#55	STANDARD POLISHED COPPER	36	4
-Brand#55	STANDARD POLISHED NICKEL	14	4
-Brand#55	STANDARD POLISHED STEEL	9	4
-Brand#55	STANDARD POLISHED STEEL	36	4
-Brand#12	LARGE BURNISHED NICKEL	14	3
-Brand#12	PROMO POLISHED TIN	3	3
-Brand#21	MEDIUM ANODIZED TIN	9	3
-Brand#22	PROMO BRUSHED BRASS	19	3
-Brand#22	PROMO BURNISHED COPPER	14	3
-Brand#43	STANDARD BRUSHED BRASS	23	3
-Brand#44	MEDIUM ANODIZED NICKEL	9	3
-Brand#53	MEDIUM BURNISHED BRASS	49	3
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q17.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q17.out
deleted file mode 100644
index 0a2aff3ca4..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q17.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q17 --
-23512.752857143
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q18.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q18.out
deleted file mode 100644
index c11724bfc5..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q18.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q18 --
-Customer#000001639	1639	502886	1994-04-12	456423.88	312.000000000
-Customer#000006655	6655	29158	1995-10-21	452805.02	305.000000000
-Customer#000014110	14110	565574	1995-09-24	425099.85	301.000000000
-Customer#000001775	1775	6882	1997-04-09	408368.10	303.000000000
-Customer#000011459	11459	551136	1993-05-19	386812.74	308.000000000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q19.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q19.out
deleted file mode 100644
index cac985e250..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q19.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q19 --
-168597.286000000
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q20.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q20.out
deleted file mode 100644
index 66dc3b4db5..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q20.out
+++ /dev/null
@@ -1,12 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q20 --
-Supplier#000000157	,mEGorBfVIm
-Supplier#000000197	YC2Acon6kjY3zj3Fbxs2k4Vdf7X0cd2F
-Supplier#000000287	7a9SP7qW5Yku5PvSg
-Supplier#000000378	FfbhyCxWvcPrO8ltp9
-Supplier#000000530	0qwCMwobKY OcmLyfRXlagA8ukENJv,
-Supplier#000000555	TfB,a5bfl3Ah 3Z 74GqnNs6zKVGM
-Supplier#000000557	jj0wUYh9K3fG5Jhdhrkuy ,4
-Supplier#000000729	pqck2ppy758TQpZCUAjPvlU55K3QjfL7Bi
-Supplier#000000935	ij98czM 2KzWe7dDTOxB8sq0UfCdvrX
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q21.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q21.out
deleted file mode 100644
index b03644955e..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q21.out
+++ /dev/null
@@ -1,50 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q21 --
-Supplier#000000445	16
-Supplier#000000825	16
-Supplier#000000709	15
-Supplier#000000762	15
-Supplier#000000357	14
-Supplier#000000399	14
-Supplier#000000496	14
-Supplier#000000977	13
-Supplier#000000144	12
-Supplier#000000188	12
-Supplier#000000415	12
-Supplier#000000472	12
-Supplier#000000633	12
-Supplier#000000708	12
-Supplier#000000889	12
-Supplier#000000380	11
-Supplier#000000602	11
-Supplier#000000659	11
-Supplier#000000821	11
-Supplier#000000929	11
-Supplier#000000262	10
-Supplier#000000460	10
-Supplier#000000486	10
-Supplier#000000669	10
-Supplier#000000718	10
-Supplier#000000778	10
-Supplier#000000167	9
-Supplier#000000578	9
-Supplier#000000673	9
-Supplier#000000687	9
-Supplier#000000074	8
-Supplier#000000565	8
-Supplier#000000648	8
-Supplier#000000918	8
-Supplier#000000427	7
-Supplier#000000503	7
-Supplier#000000610	7
-Supplier#000000670	7
-Supplier#000000811	7
-Supplier#000000114	6
-Supplier#000000379	6
-Supplier#000000436	6
-Supplier#000000500	6
-Supplier#000000660	6
-Supplier#000000788	6
-Supplier#000000846	6
-Supplier#000000920	4
-
diff --git a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q22.out b/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q22.out
deleted file mode 100644
index 0ccdcafe6e..0000000000
--- a/regression-test/data/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q22.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q22 --
-13	94	714035.050000000
-17	96	722560.150000000
-18	99	738012.520000000
-23	93	708285.250000000
-29	85	632693.460000000
-30	87	646748.020000000
-31	87	647372.500000000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q01.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q01.out
deleted file mode 100644
index a4910f4b2a..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q01.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q01 --
-A	F	37734107.000000000	56586554400.730000000	53758257134.870000000	55909065222.827692000	25.522005853	38273.129734622	0.049985296	1478493
-N	F	991417.000000000	1487504710.380000000	1413082168.054100000	1469649223.194375000	25.516471921	38284.467760848	0.050093427	38854
-N	O	74476040.000000000	111701729697.740000000	106118230307.605600000	110367043872.497010000	25.502226770	38249.117988908	0.049996586	2920374
-R	F	37719753.000000000	56568041380.900000000	53741292684.604000000	55889619119.831932000	25.505793613	38250.854626100	0.050009406	1478870
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q02.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q02.out
deleted file mode 100644
index a615d9c6f6..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q02.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q02 --
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-7871.50	Supplier#000007206	RUSSIA	104695	Manufacturer#1	3w fNCnrVmvJjE95sgWZzvW	32-432-452-7731	ironic requests. furiously final theodolites cajole. final, express packages sleep. quickly reg
-7852.45	Supplier#000005864	RUSSIA	8363	Manufacturer#4	WCNfBPZeSXh3h,c	32-454-883-3821	usly unusual pinto beans. brave ideas sleep carefully quickly ironi
-7850.66	Supplier#000001518	UNITED KINGDOM	86501	Manufacturer#1	ONda3YJiHKJOC	33-730-383-3892	ifts haggle fluffily pending pai
-7843.52	Supplier#000006683	FRANCE	11680	Manufacturer#4	2Z0JGkiv01Y00oCFwUGfviIbhzCdy	16-464-517-8943	 express, final pinto beans x-ray slyly asymptotes. unusual, unusual
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q03.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q03.out
deleted file mode 100644
index 95aeb3d8c3..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q03.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q03 --
-2456423	406181.011100000	1995-03-05	0
-3459808	405838.698900000	1995-03-04	0
-492164	390324.061000000	1995-02-19	0
-1188320	384537.935900000	1995-03-09	0
-2435712	378673.055800000	1995-02-26	0
-4878020	378376.795200000	1995-03-12	0
-5521732	375153.921500000	1995-03-13	0
-2628192	373133.309400000	1995-02-22	0
-993600	371407.459500000	1995-03-05	0
-2300070	367371.145200000	1995-03-13	0
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q04.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q04.out
deleted file mode 100644
index e138bd5ed8..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q04.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q04 --
-1-URGENT	10594
-2-HIGH	10476
-3-MEDIUM	10410
-4-NOT SPECIFIED	10556
-5-LOW	10487
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q05.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q05.out
deleted file mode 100644
index d2b392da44..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q05.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q05 --
-INDONESIA	55502041.169700000
-VIETNAM	55295086.996700000
-CHINA	53724494.256600000
-INDIA	52035512.000200000
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-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q06.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q06.out
deleted file mode 100644
index 686eb38951..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q06.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q06 --
-123141078.228300000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q07.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q07.out
deleted file mode 100644
index 16c986f427..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q07.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q07 --
-FRANCE	GERMANY	1995	54639732.733600000
-FRANCE	GERMANY	1996	54633083.307600000
-GERMANY	FRANCE	1995	52531746.669700000
-GERMANY	FRANCE	1996	52520549.022400000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q08.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q08.out
deleted file mode 100644
index b5af665d55..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q08.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q08 --
-1995	0.034435890
-1996	0.041485521
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q09.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q09.out
deleted file mode 100644
index 066965109d..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q09.out
+++ /dev/null
@@ -1,178 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q09 --
-ALGERIA	1998	27136900.180300000
-ALGERIA	1997	48611833.496200000
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-ALGERIA	1995	44402273.599900000
-ALGERIA	1994	48694008.066800000
-ALGERIA	1993	46044207.783800000
-ALGERIA	1992	45636849.488100000
-ARGENTINA	1998	28341663.784800000
-ARGENTINA	1997	47143964.117600000
-ARGENTINA	1996	45255278.602100000
-ARGENTINA	1995	45631769.205400000
-ARGENTINA	1994	48268856.354700000
-ARGENTINA	1993	48605593.616200000
-ARGENTINA	1992	46654240.748700000
-BRAZIL	1998	26527736.396000000
-BRAZIL	1997	45640660.767700000
-BRAZIL	1996	45090647.163000000
-BRAZIL	1995	44015888.513200000
-BRAZIL	1994	44854218.893200000
-BRAZIL	1993	45766603.737900000
-BRAZIL	1992	45280216.802700000
-CANADA	1998	26828985.394400000
-CANADA	1997	44849954.318600000
-CANADA	1996	46307936.110800000
-CANADA	1995	47311993.044100000
-CANADA	1994	46691491.959600000
-CANADA	1993	46634791.112100000
-CANADA	1992	45873849.688200000
-CHINA	1998	27510180.165700000
-CHINA	1997	46123865.409700000
-CHINA	1996	49532807.060100000
-CHINA	1995	46734651.483800000
-CHINA	1994	46397896.609700000
-CHINA	1993	49634673.946300000
-CHINA	1992	46949457.642600000
-EGYPT	1998	28401491.796800000
-EGYPT	1997	47674857.678300000
-EGYPT	1996	47745727.545000000
-EGYPT	1995	45897160.678300000
-EGYPT	1994	47194895.228000000
-EGYPT	1993	49133627.647100000
-EGYPT	1992	47000574.502700000
-ETHIOPIA	1998	25135046.137700000
-ETHIOPIA	1997	43010596.083800000
-ETHIOPIA	1996	43636287.192200000
-ETHIOPIA	1995	43575757.334300000
-ETHIOPIA	1994	41597208.528300000
-ETHIOPIA	1993	42622804.161600000
-ETHIOPIA	1992	44385735.681300000
-FRANCE	1998	26210392.280400000
-FRANCE	1997	42392969.473100000
-FRANCE	1996	43306317.974900000
-FRANCE	1995	46377408.432800000
-FRANCE	1994	43447352.992200000
-FRANCE	1993	43729961.063900000
-FRANCE	1992	44052308.429000000
-GERMANY	1998	25991257.107100000
-GERMANY	1997	43968355.807900000
-GERMANY	1996	45882074.804900000
-GERMANY	1995	43314338.307700000
-GERMANY	1994	44616995.436900000
-GERMANY	1993	45126645.911300000
-GERMANY	1992	44361141.210700000
-INDIA	1998	29626417.237900000
-INDIA	1997	51386111.344800000
-INDIA	1996	47571018.512200000
-INDIA	1995	49344062.282900000
-INDIA	1994	50106952.426100000
-INDIA	1993	48112766.698700000
-INDIA	1992	47914303.123400000
-INDONESIA	1998	27734909.676300000
-INDONESIA	1997	44593812.986300000
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-IRAN	1998	26661608.930100000
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-IRAN	1995	44414285.234800000
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-IRAN	1992	43052338.414300000
-IRAQ	1998	31188498.191400000
-IRAQ	1997	48585307.522200000
-IRAQ	1996	50036593.840400000
-IRAQ	1995	48774801.727500000
-IRAQ	1994	48795847.231000000
-IRAQ	1993	47435691.508200000
-IRAQ	1992	47562355.657100000
-JAPAN	1998	24694102.172000000
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-JORDAN	1998	23489867.789300000
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-KENYA	1998	25566337.430300000
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-KENYA	1996	43482953.543000000
-KENYA	1995	42517988.981400000
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q10.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q10.out
deleted file mode 100644
index 8e671d7af8..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q10.out
+++ /dev/null
@@ -1,23 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q10 --
-57040	Customer#000057040	734235.245500000	632.87	JAPAN	Eioyzjf4pp	22-895-641-3466	sits. slyly regular requests sleep alongside of the regular inst
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-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q11.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q11.out
deleted file mode 100644
index 645802f5f8..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q11.out
+++ /dev/null
@@ -1,1051 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q11 --
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-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q12.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q12.out
deleted file mode 100644
index 682c724e8a..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q12.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q12 --
-MAIL	6202	9324
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-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q13.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q13.out
deleted file mode 100644
index e6c323f057..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q13.out
+++ /dev/null
@@ -1,45 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q13 --
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-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q14.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q14.out
deleted file mode 100644
index d47f9e45dd..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q14.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q14 --
-16.380778626
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q15.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q15.out
deleted file mode 100644
index fabce0b5be..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q15.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q15 --
-8449	Supplier#000008449	Wp34zim9qYFbVctdW	20-469-856-8873	1772627.208700000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q16.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q16.out
deleted file mode 100644
index cc6f2ff245..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q16.out
+++ /dev/null
@@ -1,18317 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q16 --
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-Brand#13	MEDIUM BURNISHED COPPER	36	20
-Brand#13	SMALL BRUSHED TIN	45	20
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-Brand#14	SMALL POLISHED TIN	14	20
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-Brand#44	PROMO POLISHED COPPER	45	12
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-Brand#54	ECONOMY BURNISHED BRASS	45	12
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-Brand#54	LARGE BRUSHED COPPER	23	12
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-Brand#54	LARGE BURNISHED COPPER	3	12
-Brand#54	LARGE BURNISHED COPPER	45	12
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-Brand#54	LARGE PLATED COPPER	9	12
-Brand#54	LARGE PLATED COPPER	45	12
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-Brand#54	LARGE POLISHED COPPER	3	12
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-Brand#55	STANDARD BURNISHED COPPER	49	12
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-Brand#55	STANDARD PLATED COPPER	3	12
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-Brand#12	ECONOMY BURNISHED NICKEL	23	8
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-Brand#12	ECONOMY PLATED BRASS	49	8
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-Brand#12	ECONOMY POLISHED COPPER	49	8
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-Brand#12	LARGE ANODIZED COPPER	45	8
-Brand#12	LARGE ANODIZED NICKEL	9	8
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-Brand#12	LARGE BURNISHED BRASS	45	8
-Brand#12	LARGE BURNISHED COPPER	19	8
-Brand#12	LARGE BURNISHED COPPER	49	8
-Brand#12	LARGE BURNISHED NICKEL	3	8
-Brand#12	LARGE BURNISHED NICKEL	14	8
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-Brand#12	LARGE BURNISHED STEEL	45	8
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-Brand#12	LARGE BURNISHED TIN	14	8
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-Brand#12	LARGE BURNISHED TIN	49	8
-Brand#12	LARGE PLATED BRASS	49	8
-Brand#12	LARGE PLATED COPPER	3	8
-Brand#12	LARGE PLATED COPPER	36	8
-Brand#12	LARGE PLATED COPPER	45	8
-Brand#12	LARGE PLATED NICKEL	49	8
-Brand#12	LARGE PLATED STEEL	3	8
-Brand#12	LARGE PLATED STEEL	36	8
-Brand#12	LARGE PLATED TIN	14	8
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-Brand#12	LARGE POLISHED BRASS	19	8
-Brand#12	LARGE POLISHED COPPER	9	8
-Brand#12	LARGE POLISHED COPPER	36	8
-Brand#12	LARGE POLISHED NICKEL	23	8
-Brand#12	LARGE POLISHED NICKEL	36	8
-Brand#12	LARGE POLISHED NICKEL	49	8
-Brand#12	LARGE POLISHED STEEL	49	8
-Brand#12	MEDIUM ANODIZED BRASS	23	8
-Brand#12	MEDIUM ANODIZED NICKEL	9	8
-Brand#12	MEDIUM ANODIZED STEEL	19	8
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-Brand#12	MEDIUM BRUSHED COPPER	9	8
-Brand#12	MEDIUM BRUSHED COPPER	36	8
-Brand#12	MEDIUM BRUSHED NICKEL	49	8
-Brand#12	MEDIUM BRUSHED STEEL	3	8
-Brand#12	MEDIUM BRUSHED STEEL	36	8
-Brand#12	MEDIUM BURNISHED BRASS	23	8
-Brand#12	MEDIUM BURNISHED COPPER	49	8
-Brand#12	MEDIUM BURNISHED NICKEL	3	8
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-Brand#12	STANDARD BURNISHED BRASS	49	8
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-Brand#13	SMALL BRUSHED BRASS	49	8
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-Brand#13	STANDARD BRUSHED NICKEL	49	8
-Brand#13	STANDARD BRUSHED STEEL	9	8
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-Brand#13	STANDARD BURNISHED BRASS	36	8
-Brand#13	STANDARD BURNISHED COPPER	49	8
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-Brand#13	STANDARD BURNISHED NICKEL	14	8
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-Brand#13	STANDARD PLATED BRASS	49	8
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-Brand#13	STANDARD PLATED NICKEL	3	8
-Brand#13	STANDARD PLATED STEEL	14	8
-Brand#13	STANDARD PLATED STEEL	49	8
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-Brand#13	STANDARD PLATED TIN	36	8
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-Brand#13	STANDARD POLISHED NICKEL	3	8
-Brand#13	STANDARD POLISHED NICKEL	36	8
-Brand#13	STANDARD POLISHED STEEL	14	8
-Brand#13	STANDARD POLISHED STEEL	23	8
-Brand#13	STANDARD POLISHED STEEL	36	8
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-Brand#14	ECONOMY ANODIZED COPPER	45	8
-Brand#14	ECONOMY ANODIZED NICKEL	23	8
-Brand#14	ECONOMY ANODIZED NICKEL	45	8
-Brand#14	ECONOMY ANODIZED STEEL	3	8
-Brand#14	ECONOMY ANODIZED STEEL	9	8
-Brand#14	ECONOMY ANODIZED STEEL	19	8
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-Brand#14	ECONOMY BRUSHED BRASS	14	8
-Brand#14	ECONOMY BRUSHED BRASS	49	8
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-Brand#14	ECONOMY BURNISHED BRASS	14	8
-Brand#14	ECONOMY BURNISHED COPPER	36	8
-Brand#14	ECONOMY BURNISHED STEEL	23	8
-Brand#14	ECONOMY BURNISHED STEEL	36	8
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-Brand#14	ECONOMY BURNISHED TIN	23	8
-Brand#14	ECONOMY BURNISHED TIN	36	8
-Brand#14	ECONOMY PLATED BRASS	36	8
-Brand#14	ECONOMY PLATED COPPER	3	8
-Brand#14	ECONOMY PLATED COPPER	9	8
-Brand#14	ECONOMY PLATED NICKEL	3	8
-Brand#14	ECONOMY PLATED STEEL	36	8
-Brand#14	ECONOMY PLATED TIN	9	8
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-Brand#14	ECONOMY POLISHED BRASS	36	8
-Brand#14	ECONOMY POLISHED COPPER	14	8
-Brand#14	ECONOMY POLISHED STEEL	3	8
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-Brand#14	LARGE ANODIZED COPPER	23	8
-Brand#14	LARGE ANODIZED NICKEL	9	8
-Brand#14	LARGE ANODIZED NICKEL	49	8
-Brand#14	LARGE ANODIZED STEEL	3	8
-Brand#14	LARGE ANODIZED STEEL	45	8
-Brand#14	LARGE ANODIZED TIN	9	8
-Brand#14	LARGE ANODIZED TIN	19	8
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-Brand#14	LARGE BRUSHED BRASS	45	8
-Brand#14	LARGE BRUSHED COPPER	49	8
-Brand#14	LARGE BRUSHED NICKEL	23	8
-Brand#14	LARGE BRUSHED NICKEL	45	8
-Brand#14	LARGE BRUSHED TIN	9	8
-Brand#14	LARGE BURNISHED BRASS	14	8
-Brand#14	LARGE BURNISHED COPPER	19	8
-Brand#14	LARGE BURNISHED NICKEL	3	8
-Brand#14	LARGE BURNISHED NICKEL	49	8
-Brand#14	LARGE BURNISHED STEEL	3	8
-Brand#14	LARGE BURNISHED STEEL	9	8
-Brand#14	LARGE BURNISHED STEEL	14	8
-Brand#14	LARGE BURNISHED STEEL	19	8
-Brand#14	LARGE BURNISHED STEEL	45	8
-Brand#14	LARGE BURNISHED TIN	19	8
-Brand#14	LARGE BURNISHED TIN	23	8
-Brand#14	LARGE BURNISHED TIN	45	8
-Brand#14	LARGE PLATED BRASS	23	8
-Brand#14	LARGE PLATED COPPER	36	8
-Brand#14	LARGE PLATED NICKEL	23	8
-Brand#14	LARGE PLATED NICKEL	49	8
-Brand#14	LARGE PLATED STEEL	49	8
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-Brand#15	PROMO PLATED BRASS	49	8
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-Brand#15	STANDARD POLISHED BRASS	9	8
-Brand#15	STANDARD POLISHED BRASS	14	8
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-Brand#21	ECONOMY ANODIZED NICKEL	45	8
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-Brand#21	ECONOMY PLATED BRASS	9	8
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-Brand#21	ECONOMY POLISHED STEEL	49	8
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-Brand#21	LARGE ANODIZED NICKEL	49	8
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-Brand#21	LARGE BRUSHED BRASS	45	8
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-Brand#21	LARGE BRUSHED NICKEL	45	8
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-Brand#21	LARGE BURNISHED COPPER	9	8
-Brand#21	LARGE BURNISHED COPPER	14	8
-Brand#21	LARGE BURNISHED COPPER	19	8
-Brand#21	LARGE BURNISHED COPPER	23	8
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-Brand#21	LARGE BURNISHED NICKEL	36	8
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-Brand#21	LARGE BURNISHED STEEL	45	8
-Brand#21	LARGE BURNISHED STEEL	49	8
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-Brand#32	ECONOMY BURNISHED TIN	45	8
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-Brand#32	LARGE PLATED BRASS	45	8
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-Brand#32	LARGE POLISHED COPPER	9	8
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-Brand#32	MEDIUM ANODIZED BRASS	23	8
-Brand#32	MEDIUM ANODIZED COPPER	3	8
-Brand#32	MEDIUM ANODIZED STEEL	9	8
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-Brand#43	ECONOMY BURNISHED NICKEL	14	8
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-Brand#43	LARGE BRUSHED NICKEL	36	8
-Brand#43	LARGE BRUSHED NICKEL	49	8
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-Brand#43	LARGE BURNISHED BRASS	14	8
-Brand#43	LARGE BURNISHED BRASS	49	8
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-Brand#43	LARGE PLATED NICKEL	14	8
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-Brand#43	LARGE POLISHED COPPER	14	8
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-Brand#43	PROMO ANODIZED TIN	14	8
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-Brand#43	PROMO BURNISHED BRASS	49	8
-Brand#43	PROMO BURNISHED COPPER	14	8
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-Brand#43	PROMO POLISHED COPPER	14	8
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-Brand#44	ECONOMY ANODIZED COPPER	49	8
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-Brand#44	ECONOMY BURNISHED COPPER	14	8
-Brand#44	ECONOMY BURNISHED COPPER	23	8
-Brand#44	ECONOMY BURNISHED COPPER	49	8
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-Brand#44	ECONOMY BURNISHED STEEL	49	8
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-Brand#44	LARGE BURNISHED NICKEL	49	8
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-Brand#44	LARGE PLATED TIN	49	8
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-Brand#44	LARGE POLISHED BRASS	23	8
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-Brand#44	LARGE POLISHED COPPER	49	8
-Brand#44	LARGE POLISHED NICKEL	23	8
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-Brand#44	MEDIUM ANODIZED COPPER	49	8
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-Brand#44	MEDIUM ANODIZED NICKEL	45	8
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-Brand#44	MEDIUM BURNISHED NICKEL	14	8
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-Brand#44	PROMO ANODIZED BRASS	49	8
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-Brand#44	PROMO ANODIZED STEEL	49	8
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-Brand#44	PROMO BRUSHED TIN	19	8
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-Brand#44	PROMO BURNISHED NICKEL	3	8
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-Brand#44	PROMO BURNISHED STEEL	19	8
-Brand#44	PROMO BURNISHED STEEL	49	8
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-Brand#44	PROMO PLATED NICKEL	23	8
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-Brand#44	PROMO PLATED STEEL	49	8
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-Brand#44	PROMO POLISHED COPPER	9	8
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-Brand#44	PROMO POLISHED STEEL	45	8
-Brand#44	PROMO POLISHED TIN	14	8
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-Brand#44	PROMO POLISHED TIN	36	8
-Brand#44	PROMO POLISHED TIN	45	8
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-Brand#44	SMALL ANODIZED BRASS	36	8
-Brand#44	SMALL ANODIZED COPPER	14	8
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-Brand#44	SMALL ANODIZED COPPER	23	8
-Brand#44	SMALL ANODIZED NICKEL	23	8
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-Brand#44	SMALL BURNISHED BRASS	36	8
-Brand#44	SMALL BURNISHED BRASS	49	8
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-Brand#44	SMALL BURNISHED NICKEL	45	8
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-Brand#44	SMALL BURNISHED TIN	49	8
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-Brand#44	SMALL POLISHED COPPER	49	8
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-Brand#44	SMALL POLISHED NICKEL	19	8
-Brand#44	SMALL POLISHED NICKEL	23	8
-Brand#44	SMALL POLISHED NICKEL	45	8
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-Brand#44	SMALL POLISHED TIN	14	8
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-Brand#44	SMALL POLISHED TIN	45	8
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-Brand#44	STANDARD ANODIZED COPPER	19	8
-Brand#44	STANDARD ANODIZED STEEL	14	8
-Brand#44	STANDARD ANODIZED STEEL	45	8
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-Brand#44	STANDARD ANODIZED TIN	36	8
-Brand#44	STANDARD BRUSHED BRASS	14	8
-Brand#44	STANDARD BRUSHED BRASS	45	8
-Brand#44	STANDARD BRUSHED COPPER	19	8
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-Brand#44	STANDARD BRUSHED STEEL	23	8
-Brand#44	STANDARD BRUSHED STEEL	49	8
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-Brand#44	STANDARD BURNISHED BRASS	9	8
-Brand#44	STANDARD BURNISHED BRASS	49	8
-Brand#44	STANDARD BURNISHED COPPER	45	8
-Brand#44	STANDARD BURNISHED NICKEL	19	8
-Brand#44	STANDARD BURNISHED NICKEL	23	8
-Brand#44	STANDARD BURNISHED STEEL	3	8
-Brand#44	STANDARD BURNISHED STEEL	14	8
-Brand#44	STANDARD BURNISHED STEEL	45	8
-Brand#44	STANDARD BURNISHED TIN	19	8
-Brand#44	STANDARD PLATED BRASS	9	8
-Brand#44	STANDARD PLATED BRASS	45	8
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-Brand#52	PROMO BURNISHED BRASS	23	8
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-Brand#52	PROMO BURNISHED NICKEL	14	8
-Brand#52	PROMO BURNISHED NICKEL	49	8
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-Brand#52	PROMO PLATED BRASS	49	8
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-Brand#52	PROMO POLISHED COPPER	49	8
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-Brand#52	SMALL BURNISHED BRASS	45	8
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-Brand#52	SMALL BURNISHED COPPER	45	8
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-Brand#52	SMALL POLISHED COPPER	36	8
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-Brand#52	SMALL POLISHED STEEL	9	8
-Brand#52	SMALL POLISHED STEEL	49	8
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-Brand#52	SMALL POLISHED TIN	14	8
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-Brand#54	ECONOMY POLISHED BRASS	49	8
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-Brand#54	LARGE PLATED BRASS	45	8
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-Brand#54	LARGE POLISHED COPPER	45	8
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-Brand#54	LARGE POLISHED STEEL	3	8
-Brand#54	LARGE POLISHED STEEL	14	8
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-Brand#54	MEDIUM ANODIZED BRASS	36	8
-Brand#54	MEDIUM ANODIZED BRASS	49	8
-Brand#54	MEDIUM ANODIZED COPPER	23	8
-Brand#54	MEDIUM ANODIZED NICKEL	3	8
-Brand#54	MEDIUM ANODIZED NICKEL	14	8
-Brand#54	MEDIUM ANODIZED NICKEL	19	8
-Brand#54	MEDIUM ANODIZED NICKEL	36	8
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-Brand#54	MEDIUM BRUSHED BRASS	45	8
-Brand#54	MEDIUM BRUSHED COPPER	14	8
-Brand#54	MEDIUM BRUSHED COPPER	19	8
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-Brand#54	MEDIUM BRUSHED NICKEL	9	8
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-Brand#54	MEDIUM BRUSHED STEEL	45	8
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-Brand#54	MEDIUM BRUSHED TIN	49	8
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-Brand#54	MEDIUM BURNISHED BRASS	49	8
-Brand#54	MEDIUM BURNISHED COPPER	3	8
-Brand#54	MEDIUM BURNISHED COPPER	36	8
-Brand#54	MEDIUM BURNISHED COPPER	45	8
-Brand#54	MEDIUM BURNISHED STEEL	14	8
-Brand#54	MEDIUM BURNISHED STEEL	19	8
-Brand#54	MEDIUM BURNISHED TIN	9	8
-Brand#54	MEDIUM BURNISHED TIN	19	8
-Brand#54	MEDIUM BURNISHED TIN	36	8
-Brand#54	MEDIUM PLATED BRASS	3	8
-Brand#54	MEDIUM PLATED BRASS	23	8
-Brand#54	MEDIUM PLATED COPPER	9	8
-Brand#54	MEDIUM PLATED COPPER	45	8
-Brand#54	MEDIUM PLATED COPPER	49	8
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-Brand#54	PROMO ANODIZED BRASS	14	8
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-Brand#54	PROMO ANODIZED BRASS	36	8
-Brand#54	PROMO ANODIZED COPPER	23	8
-Brand#54	PROMO ANODIZED STEEL	36	8
-Brand#54	PROMO ANODIZED TIN	19	8
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-Brand#54	PROMO BRUSHED BRASS	49	8
-Brand#54	PROMO BRUSHED COPPER	3	8
-Brand#54	PROMO BRUSHED COPPER	45	8
-Brand#54	PROMO BRUSHED NICKEL	3	8
-Brand#54	PROMO BRUSHED NICKEL	23	8
-Brand#54	PROMO BRUSHED STEEL	36	8
-Brand#54	PROMO BRUSHED STEEL	49	8
-Brand#54	PROMO BRUSHED TIN	45	8
-Brand#54	PROMO BURNISHED COPPER	14	8
-Brand#54	PROMO BURNISHED NICKEL	19	8
-Brand#54	PROMO BURNISHED NICKEL	49	8
-Brand#54	PROMO BURNISHED STEEL	3	8
-Brand#54	PROMO BURNISHED TIN	3	8
-Brand#54	PROMO BURNISHED TIN	14	8
-Brand#54	PROMO BURNISHED TIN	45	8
-Brand#54	PROMO PLATED COPPER	36	8
-Brand#54	PROMO PLATED COPPER	45	8
-Brand#54	PROMO PLATED COPPER	49	8
-Brand#54	PROMO PLATED NICKEL	3	8
-Brand#54	PROMO PLATED NICKEL	14	8
-Brand#54	PROMO PLATED NICKEL	19	8
-Brand#54	PROMO PLATED STEEL	45	8
-Brand#54	PROMO PLATED TIN	14	8
-Brand#54	PROMO PLATED TIN	23	8
-Brand#54	PROMO POLISHED BRASS	14	8
-Brand#54	PROMO POLISHED BRASS	36	8
-Brand#54	PROMO POLISHED COPPER	14	8
-Brand#54	PROMO POLISHED COPPER	23	8
-Brand#54	PROMO POLISHED NICKEL	14	8
-Brand#54	PROMO POLISHED NICKEL	19	8
-Brand#54	PROMO POLISHED NICKEL	23	8
-Brand#54	PROMO POLISHED STEEL	23	8
-Brand#54	PROMO POLISHED STEEL	36	8
-Brand#54	PROMO POLISHED TIN	49	8
-Brand#54	SMALL ANODIZED BRASS	19	8
-Brand#54	SMALL ANODIZED COPPER	23	8
-Brand#54	SMALL ANODIZED COPPER	45	8
-Brand#54	SMALL ANODIZED NICKEL	14	8
-Brand#54	SMALL ANODIZED STEEL	9	8
-Brand#54	SMALL ANODIZED TIN	14	8
-Brand#54	SMALL BRUSHED BRASS	9	8
-Brand#54	SMALL BRUSHED BRASS	49	8
-Brand#54	SMALL BRUSHED COPPER	45	8
-Brand#54	SMALL BRUSHED TIN	19	8
-Brand#54	SMALL BRUSHED TIN	36	8
-Brand#54	SMALL BURNISHED BRASS	9	8
-Brand#54	SMALL BURNISHED BRASS	14	8
-Brand#54	SMALL BURNISHED COPPER	3	8
-Brand#54	SMALL BURNISHED COPPER	14	8
-Brand#54	SMALL BURNISHED STEEL	9	8
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-Brand#54	SMALL BURNISHED TIN	49	8
-Brand#54	SMALL PLATED COPPER	14	8
-Brand#54	SMALL PLATED COPPER	23	8
-Brand#54	SMALL PLATED COPPER	45	8
-Brand#54	SMALL PLATED NICKEL	14	8
-Brand#54	SMALL PLATED STEEL	49	8
-Brand#54	SMALL PLATED TIN	14	8
-Brand#54	SMALL PLATED TIN	23	8
-Brand#54	SMALL PLATED TIN	36	8
-Brand#54	SMALL POLISHED BRASS	9	8
-Brand#54	SMALL POLISHED BRASS	36	8
-Brand#54	SMALL POLISHED COPPER	3	8
-Brand#54	SMALL POLISHED COPPER	49	8
-Brand#54	SMALL POLISHED NICKEL	3	8
-Brand#54	SMALL POLISHED NICKEL	14	8
-Brand#54	SMALL POLISHED NICKEL	23	8
-Brand#54	SMALL POLISHED STEEL	3	8
-Brand#54	SMALL POLISHED STEEL	23	8
-Brand#54	SMALL POLISHED TIN	45	8
-Brand#54	STANDARD ANODIZED BRASS	9	8
-Brand#54	STANDARD ANODIZED BRASS	45	8
-Brand#54	STANDARD ANODIZED COPPER	9	8
-Brand#54	STANDARD ANODIZED COPPER	23	8
-Brand#54	STANDARD ANODIZED STEEL	3	8
-Brand#54	STANDARD ANODIZED STEEL	14	8
-Brand#54	STANDARD ANODIZED STEEL	23	8
-Brand#54	STANDARD ANODIZED TIN	45	8
-Brand#54	STANDARD BRUSHED BRASS	36	8
-Brand#54	STANDARD BRUSHED COPPER	36	8
-Brand#54	STANDARD BRUSHED NICKEL	14	8
-Brand#54	STANDARD BRUSHED NICKEL	49	8
-Brand#54	STANDARD BRUSHED STEEL	9	8
-Brand#54	STANDARD BRUSHED STEEL	36	8
-Brand#54	STANDARD BRUSHED TIN	19	8
-Brand#54	STANDARD BRUSHED TIN	23	8
-Brand#54	STANDARD BRUSHED TIN	49	8
-Brand#54	STANDARD BURNISHED BRASS	45	8
-Brand#54	STANDARD BURNISHED COPPER	9	8
-Brand#54	STANDARD BURNISHED COPPER	19	8
-Brand#54	STANDARD BURNISHED NICKEL	23	8
-Brand#54	STANDARD BURNISHED STEEL	14	8
-Brand#54	STANDARD PLATED BRASS	3	8
-Brand#54	STANDARD PLATED BRASS	23	8
-Brand#54	STANDARD PLATED COPPER	36	8
-Brand#54	STANDARD PLATED NICKEL	36	8
-Brand#54	STANDARD PLATED STEEL	45	8
-Brand#54	STANDARD PLATED TIN	49	8
-Brand#54	STANDARD POLISHED BRASS	49	8
-Brand#54	STANDARD POLISHED COPPER	19	8
-Brand#54	STANDARD POLISHED COPPER	23	8
-Brand#54	STANDARD POLISHED NICKEL	36	8
-Brand#54	STANDARD POLISHED STEEL	19	8
-Brand#54	STANDARD POLISHED TIN	9	8
-Brand#54	STANDARD POLISHED TIN	14	8
-Brand#55	ECONOMY ANODIZED COPPER	23	8
-Brand#55	ECONOMY ANODIZED NICKEL	9	8
-Brand#55	ECONOMY ANODIZED NICKEL	14	8
-Brand#55	ECONOMY ANODIZED NICKEL	45	8
-Brand#55	ECONOMY ANODIZED STEEL	9	8
-Brand#55	ECONOMY ANODIZED STEEL	49	8
-Brand#55	ECONOMY ANODIZED TIN	9	8
-Brand#55	ECONOMY ANODIZED TIN	14	8
-Brand#55	ECONOMY ANODIZED TIN	19	8
-Brand#55	ECONOMY ANODIZED TIN	23	8
-Brand#55	ECONOMY ANODIZED TIN	36	8
-Brand#55	ECONOMY BRUSHED COPPER	23	8
-Brand#55	ECONOMY BRUSHED STEEL	49	8
-Brand#55	ECONOMY BRUSHED TIN	3	8
-Brand#55	ECONOMY BRUSHED TIN	23	8
-Brand#55	ECONOMY BURNISHED BRASS	3	8
-Brand#55	ECONOMY BURNISHED BRASS	14	8
-Brand#55	ECONOMY BURNISHED COPPER	23	8
-Brand#55	ECONOMY BURNISHED NICKEL	19	8
-Brand#55	ECONOMY BURNISHED NICKEL	49	8
-Brand#55	ECONOMY BURNISHED STEEL	9	8
-Brand#55	ECONOMY BURNISHED STEEL	19	8
-Brand#55	ECONOMY BURNISHED STEEL	49	8
-Brand#55	ECONOMY BURNISHED TIN	45	8
-Brand#55	ECONOMY PLATED BRASS	45	8
-Brand#55	ECONOMY PLATED COPPER	49	8
-Brand#55	ECONOMY PLATED NICKEL	19	8
-Brand#55	ECONOMY PLATED NICKEL	36	8
-Brand#55	ECONOMY PLATED TIN	23	8
-Brand#55	ECONOMY POLISHED BRASS	19	8
-Brand#55	ECONOMY POLISHED BRASS	23	8
-Brand#55	ECONOMY POLISHED COPPER	23	8
-Brand#55	ECONOMY POLISHED COPPER	45	8
-Brand#55	ECONOMY POLISHED NICKEL	9	8
-Brand#55	ECONOMY POLISHED NICKEL	14	8
-Brand#55	ECONOMY POLISHED NICKEL	19	8
-Brand#55	ECONOMY POLISHED NICKEL	45	8
-Brand#55	ECONOMY POLISHED TIN	9	8
-Brand#55	LARGE ANODIZED BRASS	36	8
-Brand#55	LARGE ANODIZED COPPER	9	8
-Brand#55	LARGE ANODIZED COPPER	36	8
-Brand#55	LARGE ANODIZED COPPER	45	8
-Brand#55	LARGE ANODIZED NICKEL	36	8
-Brand#55	LARGE ANODIZED STEEL	9	8
-Brand#55	LARGE ANODIZED TIN	14	8
-Brand#55	LARGE BRUSHED COPPER	9	8
-Brand#55	LARGE BRUSHED COPPER	19	8
-Brand#55	LARGE BRUSHED NICKEL	14	8
-Brand#55	LARGE BRUSHED TIN	9	8
-Brand#55	LARGE BURNISHED BRASS	3	8
-Brand#55	LARGE BURNISHED BRASS	49	8
-Brand#55	LARGE BURNISHED COPPER	36	8
-Brand#55	LARGE BURNISHED COPPER	49	8
-Brand#55	LARGE BURNISHED NICKEL	19	8
-Brand#55	LARGE BURNISHED NICKEL	45	8
-Brand#55	LARGE BURNISHED STEEL	3	8
-Brand#55	LARGE BURNISHED STEEL	23	8
-Brand#55	LARGE PLATED COPPER	14	8
-Brand#55	LARGE PLATED NICKEL	9	8
-Brand#55	LARGE PLATED STEEL	19	8
-Brand#55	LARGE PLATED STEEL	36	8
-Brand#55	LARGE PLATED STEEL	49	8
-Brand#55	LARGE PLATED TIN	9	8
-Brand#55	LARGE PLATED TIN	14	8
-Brand#55	LARGE PLATED TIN	36	8
-Brand#55	LARGE PLATED TIN	45	8
-Brand#55	LARGE POLISHED BRASS	3	8
-Brand#55	LARGE POLISHED COPPER	9	8
-Brand#55	LARGE POLISHED COPPER	36	8
-Brand#55	LARGE POLISHED TIN	9	8
-Brand#55	LARGE POLISHED TIN	45	8
-Brand#55	MEDIUM ANODIZED BRASS	23	8
-Brand#55	MEDIUM ANODIZED COPPER	14	8
-Brand#55	MEDIUM ANODIZED COPPER	49	8
-Brand#55	MEDIUM ANODIZED NICKEL	14	8
-Brand#55	MEDIUM ANODIZED NICKEL	19	8
-Brand#55	MEDIUM ANODIZED NICKEL	45	8
-Brand#55	MEDIUM ANODIZED STEEL	3	8
-Brand#55	MEDIUM ANODIZED STEEL	14	8
-Brand#55	MEDIUM ANODIZED TIN	45	8
-Brand#55	MEDIUM BRUSHED COPPER	23	8
-Brand#55	MEDIUM BRUSHED NICKEL	9	8
-Brand#55	MEDIUM BRUSHED NICKEL	36	8
-Brand#55	MEDIUM BRUSHED STEEL	14	8
-Brand#55	MEDIUM BRUSHED STEEL	36	8
-Brand#55	MEDIUM BRUSHED STEEL	49	8
-Brand#55	MEDIUM BRUSHED TIN	45	8
-Brand#55	MEDIUM BURNISHED COPPER	23	8
-Brand#55	MEDIUM BURNISHED NICKEL	23	8
-Brand#55	MEDIUM BURNISHED STEEL	14	8
-Brand#55	MEDIUM BURNISHED STEEL	36	8
-Brand#55	MEDIUM BURNISHED STEEL	49	8
-Brand#55	MEDIUM BURNISHED TIN	45	8
-Brand#55	MEDIUM PLATED BRASS	23	8
-Brand#55	MEDIUM PLATED COPPER	9	8
-Brand#55	MEDIUM PLATED COPPER	45	8
-Brand#55	MEDIUM PLATED NICKEL	49	8
-Brand#55	MEDIUM PLATED TIN	3	8
-Brand#55	MEDIUM PLATED TIN	14	8
-Brand#55	MEDIUM PLATED TIN	36	8
-Brand#55	PROMO ANODIZED BRASS	45	8
-Brand#55	PROMO ANODIZED BRASS	49	8
-Brand#55	PROMO ANODIZED COPPER	3	8
-Brand#55	PROMO ANODIZED COPPER	45	8
-Brand#55	PROMO ANODIZED COPPER	49	8
-Brand#55	PROMO ANODIZED NICKEL	3	8
-Brand#55	PROMO ANODIZED NICKEL	14	8
-Brand#55	PROMO ANODIZED NICKEL	36	8
-Brand#55	PROMO ANODIZED STEEL	3	8
-Brand#55	PROMO ANODIZED STEEL	36	8
-Brand#55	PROMO ANODIZED STEEL	49	8
-Brand#55	PROMO ANODIZED TIN	36	8
-Brand#55	PROMO ANODIZED TIN	49	8
-Brand#55	PROMO BRUSHED BRASS	9	8
-Brand#55	PROMO BRUSHED COPPER	9	8
-Brand#55	PROMO BRUSHED NICKEL	36	8
-Brand#55	PROMO BRUSHED NICKEL	49	8
-Brand#55	PROMO BRUSHED STEEL	3	8
-Brand#55	PROMO BRUSHED STEEL	9	8
-Brand#55	PROMO BRUSHED STEEL	36	8
-Brand#55	PROMO BRUSHED STEEL	45	8
-Brand#55	PROMO BRUSHED TIN	49	8
-Brand#55	PROMO BURNISHED BRASS	49	8
-Brand#55	PROMO BURNISHED COPPER	14	8
-Brand#55	PROMO BURNISHED STEEL	9	8
-Brand#55	PROMO BURNISHED TIN	45	8
-Brand#55	PROMO BURNISHED TIN	49	8
-Brand#55	PROMO PLATED BRASS	9	8
-Brand#55	PROMO PLATED BRASS	36	8
-Brand#55	PROMO PLATED BRASS	45	8
-Brand#55	PROMO PLATED COPPER	14	8
-Brand#55	PROMO PLATED COPPER	23	8
-Brand#55	PROMO PLATED NICKEL	14	8
-Brand#55	PROMO PLATED NICKEL	49	8
-Brand#55	PROMO PLATED TIN	36	8
-Brand#55	PROMO PLATED TIN	45	8
-Brand#55	PROMO POLISHED BRASS	3	8
-Brand#55	PROMO POLISHED COPPER	36	8
-Brand#55	PROMO POLISHED STEEL	3	8
-Brand#55	PROMO POLISHED STEEL	14	8
-Brand#55	PROMO POLISHED STEEL	36	8
-Brand#55	SMALL ANODIZED BRASS	19	8
-Brand#55	SMALL ANODIZED COPPER	14	8
-Brand#55	SMALL ANODIZED NICKEL	3	8
-Brand#55	SMALL ANODIZED STEEL	14	8
-Brand#55	SMALL ANODIZED STEEL	19	8
-Brand#55	SMALL ANODIZED STEEL	49	8
-Brand#55	SMALL ANODIZED TIN	3	8
-Brand#55	SMALL BRUSHED BRASS	19	8
-Brand#55	SMALL BRUSHED BRASS	49	8
-Brand#55	SMALL BRUSHED COPPER	14	8
-Brand#55	SMALL BRUSHED COPPER	36	8
-Brand#55	SMALL BRUSHED COPPER	45	8
-Brand#55	SMALL BRUSHED TIN	23	8
-Brand#55	SMALL BURNISHED BRASS	9	8
-Brand#55	SMALL BURNISHED COPPER	45	8
-Brand#55	SMALL BURNISHED NICKEL	3	8
-Brand#55	SMALL BURNISHED STEEL	19	8
-Brand#55	SMALL BURNISHED STEEL	23	8
-Brand#55	SMALL BURNISHED TIN	3	8
-Brand#55	SMALL BURNISHED TIN	14	8
-Brand#55	SMALL BURNISHED TIN	19	8
-Brand#55	SMALL BURNISHED TIN	36	8
-Brand#55	SMALL PLATED BRASS	45	8
-Brand#55	SMALL PLATED COPPER	9	8
-Brand#55	SMALL PLATED COPPER	19	8
-Brand#55	SMALL PLATED COPPER	23	8
-Brand#55	SMALL PLATED COPPER	45	8
-Brand#55	SMALL PLATED NICKEL	9	8
-Brand#55	SMALL PLATED NICKEL	23	8
-Brand#55	SMALL PLATED STEEL	49	8
-Brand#55	SMALL PLATED TIN	3	8
-Brand#55	SMALL PLATED TIN	9	8
-Brand#55	SMALL PLATED TIN	14	8
-Brand#55	SMALL PLATED TIN	49	8
-Brand#55	SMALL POLISHED BRASS	14	8
-Brand#55	SMALL POLISHED COPPER	3	8
-Brand#55	SMALL POLISHED TIN	19	8
-Brand#55	SMALL POLISHED TIN	49	8
-Brand#55	STANDARD ANODIZED BRASS	14	8
-Brand#55	STANDARD ANODIZED BRASS	36	8
-Brand#55	STANDARD ANODIZED COPPER	23	8
-Brand#55	STANDARD ANODIZED NICKEL	23	8
-Brand#55	STANDARD ANODIZED TIN	19	8
-Brand#55	STANDARD ANODIZED TIN	49	8
-Brand#55	STANDARD BRUSHED BRASS	3	8
-Brand#55	STANDARD BRUSHED BRASS	36	8
-Brand#55	STANDARD BRUSHED BRASS	45	8
-Brand#55	STANDARD BRUSHED COPPER	3	8
-Brand#55	STANDARD BRUSHED COPPER	23	8
-Brand#55	STANDARD BRUSHED NICKEL	19	8
-Brand#55	STANDARD BRUSHED TIN	23	8
-Brand#55	STANDARD BURNISHED BRASS	49	8
-Brand#55	STANDARD BURNISHED COPPER	23	8
-Brand#55	STANDARD BURNISHED COPPER	36	8
-Brand#55	STANDARD BURNISHED NICKEL	3	8
-Brand#55	STANDARD BURNISHED NICKEL	14	8
-Brand#55	STANDARD BURNISHED NICKEL	36	8
-Brand#55	STANDARD BURNISHED NICKEL	45	8
-Brand#55	STANDARD BURNISHED STEEL	14	8
-Brand#55	STANDARD BURNISHED STEEL	49	8
-Brand#55	STANDARD PLATED BRASS	19	8
-Brand#55	STANDARD PLATED BRASS	23	8
-Brand#55	STANDARD PLATED COPPER	23	8
-Brand#55	STANDARD PLATED NICKEL	49	8
-Brand#55	STANDARD PLATED TIN	23	8
-Brand#55	STANDARD POLISHED BRASS	19	8
-Brand#55	STANDARD POLISHED BRASS	49	8
-Brand#55	STANDARD POLISHED COPPER	9	8
-Brand#55	STANDARD POLISHED COPPER	36	8
-Brand#55	STANDARD POLISHED STEEL	9	8
-Brand#55	STANDARD POLISHED STEEL	36	8
-Brand#55	STANDARD POLISHED STEEL	45	8
-Brand#55	STANDARD POLISHED STEEL	49	8
-Brand#12	PROMO ANODIZED NICKEL	49	7
-Brand#13	LARGE PLATED TIN	23	7
-Brand#14	PROMO PLATED BRASS	19	7
-Brand#22	STANDARD POLISHED TIN	3	7
-Brand#23	ECONOMY PLATED NICKEL	19	7
-Brand#23	LARGE BURNISHED NICKEL	14	7
-Brand#24	PROMO BRUSHED NICKEL	14	7
-Brand#31	MEDIUM BURNISHED NICKEL	23	7
-Brand#32	LARGE BRUSHED COPPER	3	7
-Brand#32	LARGE POLISHED NICKEL	23	7
-Brand#32	STANDARD BURNISHED STEEL	19	7
-Brand#33	ECONOMY BRUSHED BRASS	3	7
-Brand#33	PROMO PLATED NICKEL	9	7
-Brand#33	SMALL ANODIZED COPPER	23	7
-Brand#41	ECONOMY BRUSHED COPPER	36	7
-Brand#41	PROMO POLISHED BRASS	45	7
-Brand#42	MEDIUM PLATED STEEL	45	7
-Brand#42	STANDARD PLATED COPPER	19	7
-Brand#43	LARGE POLISHED COPPER	19	7
-Brand#44	PROMO BURNISHED STEEL	45	7
-Brand#51	STANDARD PLATED TIN	45	7
-Brand#52	STANDARD ANODIZED STEEL	14	7
-Brand#53	STANDARD ANODIZED NICKEL	14	7
-Brand#55	ECONOMY POLISHED TIN	19	7
-Brand#55	SMALL BURNISHED STEEL	3	7
-Brand#32	MEDIUM BURNISHED STEEL	3	6
-Brand#11	ECONOMY ANODIZED BRASS	3	4
-Brand#11	ECONOMY ANODIZED BRASS	45	4
-Brand#11	ECONOMY ANODIZED COPPER	3	4
-Brand#11	ECONOMY ANODIZED COPPER	19	4
-Brand#11	ECONOMY ANODIZED COPPER	36	4
-Brand#11	ECONOMY ANODIZED COPPER	45	4
-Brand#11	ECONOMY ANODIZED STEEL	9	4
-Brand#11	ECONOMY ANODIZED STEEL	14	4
-Brand#11	ECONOMY ANODIZED STEEL	23	4
-Brand#11	ECONOMY ANODIZED STEEL	45	4
-Brand#11	ECONOMY ANODIZED STEEL	49	4
-Brand#11	ECONOMY ANODIZED TIN	3	4
-Brand#11	ECONOMY ANODIZED TIN	9	4
-Brand#11	ECONOMY ANODIZED TIN	49	4
-Brand#11	ECONOMY BRUSHED BRASS	3	4
-Brand#11	ECONOMY BRUSHED BRASS	19	4
-Brand#11	ECONOMY BRUSHED COPPER	3	4
-Brand#11	ECONOMY BRUSHED COPPER	19	4
-Brand#11	ECONOMY BRUSHED NICKEL	14	4
-Brand#11	ECONOMY BRUSHED STEEL	3	4
-Brand#11	ECONOMY BRUSHED STEEL	36	4
-Brand#11	ECONOMY BRUSHED TIN	23	4
-Brand#11	ECONOMY BRUSHED TIN	45	4
-Brand#11	ECONOMY BURNISHED BRASS	3	4
-Brand#11	ECONOMY BURNISHED BRASS	9	4
-Brand#11	ECONOMY BURNISHED BRASS	14	4
-Brand#11	ECONOMY BURNISHED BRASS	19	4
-Brand#11	ECONOMY BURNISHED BRASS	49	4
-Brand#11	ECONOMY BURNISHED COPPER	14	4
-Brand#11	ECONOMY BURNISHED COPPER	23	4
-Brand#11	ECONOMY BURNISHED COPPER	36	4
-Brand#11	ECONOMY BURNISHED NICKEL	9	4
-Brand#11	ECONOMY BURNISHED NICKEL	49	4
-Brand#11	ECONOMY BURNISHED STEEL	14	4
-Brand#11	ECONOMY BURNISHED TIN	19	4
-Brand#11	ECONOMY BURNISHED TIN	23	4
-Brand#11	ECONOMY BURNISHED TIN	45	4
-Brand#11	ECONOMY PLATED BRASS	3	4
-Brand#11	ECONOMY PLATED BRASS	9	4
-Brand#11	ECONOMY PLATED BRASS	36	4
-Brand#11	ECONOMY PLATED BRASS	49	4
-Brand#11	ECONOMY PLATED COPPER	36	4
-Brand#11	ECONOMY PLATED NICKEL	3	4
-Brand#11	ECONOMY PLATED NICKEL	49	4
-Brand#11	ECONOMY PLATED STEEL	3	4
-Brand#11	ECONOMY PLATED STEEL	14	4
-Brand#11	ECONOMY PLATED STEEL	19	4
-Brand#11	ECONOMY PLATED STEEL	49	4
-Brand#11	ECONOMY PLATED TIN	3	4
-Brand#11	ECONOMY PLATED TIN	9	4
-Brand#11	ECONOMY PLATED TIN	19	4
-Brand#11	ECONOMY PLATED TIN	36	4
-Brand#11	ECONOMY POLISHED BRASS	9	4
-Brand#11	ECONOMY POLISHED BRASS	19	4
-Brand#11	ECONOMY POLISHED BRASS	23	4
-Brand#11	ECONOMY POLISHED BRASS	36	4
-Brand#11	ECONOMY POLISHED BRASS	49	4
-Brand#11	ECONOMY POLISHED COPPER	3	4
-Brand#11	ECONOMY POLISHED COPPER	19	4
-Brand#11	ECONOMY POLISHED COPPER	23	4
-Brand#11	ECONOMY POLISHED NICKEL	36	4
-Brand#11	ECONOMY POLISHED NICKEL	49	4
-Brand#11	ECONOMY POLISHED STEEL	9	4
-Brand#11	ECONOMY POLISHED STEEL	14	4
-Brand#11	ECONOMY POLISHED STEEL	23	4
-Brand#11	ECONOMY POLISHED STEEL	36	4
-Brand#11	ECONOMY POLISHED STEEL	45	4
-Brand#11	ECONOMY POLISHED TIN	49	4
-Brand#11	LARGE ANODIZED BRASS	3	4
-Brand#11	LARGE ANODIZED BRASS	9	4
-Brand#11	LARGE ANODIZED BRASS	19	4
-Brand#11	LARGE ANODIZED BRASS	23	4
-Brand#11	LARGE ANODIZED COPPER	3	4
-Brand#11	LARGE ANODIZED COPPER	9	4
-Brand#11	LARGE ANODIZED COPPER	36	4
-Brand#11	LARGE ANODIZED COPPER	45	4
-Brand#11	LARGE ANODIZED NICKEL	23	4
-Brand#11	LARGE ANODIZED STEEL	14	4
-Brand#11	LARGE ANODIZED STEEL	49	4
-Brand#11	LARGE ANODIZED TIN	3	4
-Brand#11	LARGE ANODIZED TIN	9	4
-Brand#11	LARGE ANODIZED TIN	14	4
-Brand#11	LARGE ANODIZED TIN	19	4
-Brand#11	LARGE BRUSHED BRASS	36	4
-Brand#11	LARGE BRUSHED BRASS	45	4
-Brand#11	LARGE BRUSHED COPPER	3	4
-Brand#11	LARGE BRUSHED NICKEL	9	4
-Brand#11	LARGE BRUSHED NICKEL	36	4
-Brand#11	LARGE BRUSHED NICKEL	49	4
-Brand#11	LARGE BRUSHED STEEL	3	4
-Brand#11	LARGE BRUSHED STEEL	9	4
-Brand#11	LARGE BRUSHED STEEL	23	4
-Brand#11	LARGE BRUSHED STEEL	45	4
-Brand#11	LARGE BRUSHED TIN	3	4
-Brand#11	LARGE BURNISHED BRASS	9	4
-Brand#11	LARGE BURNISHED BRASS	19	4
-Brand#11	LARGE BURNISHED BRASS	36	4
-Brand#11	LARGE BURNISHED COPPER	19	4
-Brand#11	LARGE BURNISHED COPPER	45	4
-Brand#11	LARGE BURNISHED NICKEL	3	4
-Brand#11	LARGE BURNISHED NICKEL	49	4
-Brand#11	LARGE BURNISHED STEEL	14	4
-Brand#11	LARGE BURNISHED STEEL	23	4
-Brand#11	LARGE BURNISHED STEEL	45	4
-Brand#11	LARGE BURNISHED TIN	3	4
-Brand#11	LARGE BURNISHED TIN	9	4
-Brand#11	LARGE BURNISHED TIN	36	4
-Brand#11	LARGE BURNISHED TIN	45	4
-Brand#11	LARGE PLATED BRASS	9	4
-Brand#11	LARGE PLATED BRASS	36	4
-Brand#11	LARGE PLATED BRASS	45	4
-Brand#11	LARGE PLATED BRASS	49	4
-Brand#11	LARGE PLATED COPPER	3	4
-Brand#11	LARGE PLATED COPPER	9	4
-Brand#11	LARGE PLATED COPPER	14	4
-Brand#11	LARGE PLATED COPPER	19	4
-Brand#11	LARGE PLATED COPPER	23	4
-Brand#11	LARGE PLATED COPPER	36	4
-Brand#11	LARGE PLATED COPPER	45	4
-Brand#11	LARGE PLATED COPPER	49	4
-Brand#11	LARGE PLATED NICKEL	9	4
-Brand#11	LARGE PLATED NICKEL	14	4
-Brand#11	LARGE PLATED NICKEL	19	4
-Brand#11	LARGE PLATED NICKEL	49	4
-Brand#11	LARGE PLATED STEEL	9	4
-Brand#11	LARGE PLATED STEEL	49	4
-Brand#11	LARGE PLATED TIN	23	4
-Brand#11	LARGE PLATED TIN	45	4
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-Brand#11	LARGE POLISHED BRASS	45	4
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-Brand#11	MEDIUM ANODIZED COPPER	45	4
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-Brand#11	MEDIUM BRUSHED NICKEL	49	4
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-Brand#11	MEDIUM BURNISHED COPPER	36	4
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-Brand#11	MEDIUM BURNISHED STEEL	45	4
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-Brand#11	PROMO ANODIZED COPPER	45	4
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-Brand#11	PROMO BRUSHED BRASS	45	4
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-Brand#11	PROMO BRUSHED COPPER	23	4
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-Brand#11	PROMO BRUSHED STEEL	14	4
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-Brand#11	PROMO BRUSHED TIN	49	4
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-Brand#11	PROMO BURNISHED BRASS	45	4
-Brand#11	PROMO BURNISHED COPPER	9	4
-Brand#11	PROMO BURNISHED COPPER	19	4
-Brand#11	PROMO BURNISHED COPPER	36	4
-Brand#11	PROMO BURNISHED NICKEL	9	4
-Brand#11	PROMO BURNISHED NICKEL	19	4
-Brand#11	PROMO BURNISHED NICKEL	49	4
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-Brand#11	PROMO PLATED BRASS	36	4
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-Brand#11	PROMO PLATED COPPER	23	4
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-Brand#11	PROMO PLATED NICKEL	23	4
-Brand#11	PROMO PLATED NICKEL	36	4
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-Brand#11	PROMO POLISHED BRASS	45	4
-Brand#11	PROMO POLISHED BRASS	49	4
-Brand#11	PROMO POLISHED COPPER	3	4
-Brand#11	PROMO POLISHED COPPER	36	4
-Brand#11	PROMO POLISHED COPPER	49	4
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-Brand#11	SMALL BRUSHED COPPER	36	4
-Brand#11	SMALL BRUSHED COPPER	45	4
-Brand#11	SMALL BRUSHED COPPER	49	4
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-Brand#11	SMALL POLISHED STEEL	49	4
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-Brand#12	ECONOMY ANODIZED COPPER	23	4
-Brand#12	ECONOMY ANODIZED COPPER	36	4
-Brand#12	ECONOMY ANODIZED COPPER	45	4
-Brand#12	ECONOMY ANODIZED COPPER	49	4
-Brand#12	ECONOMY ANODIZED NICKEL	3	4
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-Brand#12	ECONOMY ANODIZED NICKEL	23	4
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-Brand#12	ECONOMY BRUSHED NICKEL	45	4
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-Brand#12	ECONOMY BURNISHED BRASS	36	4
-Brand#12	ECONOMY BURNISHED BRASS	45	4
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-Brand#12	ECONOMY BURNISHED COPPER	36	4
-Brand#12	ECONOMY BURNISHED COPPER	45	4
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-Brand#12	ECONOMY PLATED NICKEL	36	4
-Brand#12	ECONOMY PLATED NICKEL	45	4
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-Brand#12	ECONOMY PLATED STEEL	14	4
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-Brand#12	ECONOMY PLATED STEEL	36	4
-Brand#12	ECONOMY PLATED STEEL	49	4
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-Brand#12	ECONOMY POLISHED BRASS	49	4
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-Brand#12	ECONOMY POLISHED COPPER	45	4
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-Brand#12	ECONOMY POLISHED NICKEL	23	4
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-Brand#12	ECONOMY POLISHED STEEL	36	4
-Brand#12	ECONOMY POLISHED STEEL	45	4
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-Brand#12	LARGE ANODIZED BRASS	19	4
-Brand#12	LARGE ANODIZED BRASS	49	4
-Brand#12	LARGE ANODIZED COPPER	3	4
-Brand#12	LARGE ANODIZED COPPER	23	4
-Brand#12	LARGE ANODIZED NICKEL	3	4
-Brand#12	LARGE ANODIZED NICKEL	14	4
-Brand#12	LARGE ANODIZED NICKEL	19	4
-Brand#12	LARGE ANODIZED NICKEL	23	4
-Brand#12	LARGE ANODIZED NICKEL	45	4
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-Brand#12	LARGE ANODIZED STEEL	19	4
-Brand#12	LARGE ANODIZED STEEL	45	4
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-Brand#12	LARGE ANODIZED TIN	45	4
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-Brand#12	LARGE BRUSHED COPPER	3	4
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-Brand#12	LARGE BRUSHED COPPER	45	4
-Brand#12	LARGE BRUSHED NICKEL	3	4
-Brand#12	LARGE BRUSHED NICKEL	19	4
-Brand#12	LARGE BRUSHED NICKEL	45	4
-Brand#12	LARGE BRUSHED STEEL	14	4
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-Brand#12	LARGE BRUSHED TIN	49	4
-Brand#12	LARGE BURNISHED BRASS	3	4
-Brand#12	LARGE BURNISHED BRASS	19	4
-Brand#12	LARGE BURNISHED BRASS	23	4
-Brand#12	LARGE BURNISHED BRASS	36	4
-Brand#12	LARGE BURNISHED BRASS	49	4
-Brand#12	LARGE BURNISHED COPPER	9	4
-Brand#12	LARGE BURNISHED COPPER	14	4
-Brand#12	LARGE BURNISHED COPPER	23	4
-Brand#12	LARGE BURNISHED COPPER	45	4
-Brand#12	LARGE BURNISHED NICKEL	9	4
-Brand#12	LARGE BURNISHED NICKEL	23	4
-Brand#12	LARGE BURNISHED NICKEL	36	4
-Brand#12	LARGE BURNISHED NICKEL	49	4
-Brand#12	LARGE BURNISHED STEEL	14	4
-Brand#12	LARGE BURNISHED STEEL	19	4
-Brand#12	LARGE BURNISHED STEEL	23	4
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-Brand#12	LARGE PLATED BRASS	23	4
-Brand#12	LARGE PLATED BRASS	36	4
-Brand#12	LARGE PLATED BRASS	45	4
-Brand#12	LARGE PLATED COPPER	9	4
-Brand#12	LARGE PLATED COPPER	19	4
-Brand#12	LARGE PLATED NICKEL	14	4
-Brand#12	LARGE PLATED NICKEL	19	4
-Brand#12	LARGE PLATED NICKEL	23	4
-Brand#12	LARGE PLATED NICKEL	45	4
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-Brand#12	LARGE PLATED STEEL	45	4
-Brand#12	LARGE PLATED STEEL	49	4
-Brand#12	LARGE PLATED TIN	3	4
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-Brand#12	LARGE POLISHED BRASS	36	4
-Brand#12	LARGE POLISHED BRASS	45	4
-Brand#12	LARGE POLISHED COPPER	14	4
-Brand#12	LARGE POLISHED COPPER	45	4
-Brand#12	LARGE POLISHED NICKEL	3	4
-Brand#12	LARGE POLISHED NICKEL	9	4
-Brand#12	LARGE POLISHED STEEL	3	4
-Brand#12	LARGE POLISHED STEEL	19	4
-Brand#12	LARGE POLISHED STEEL	45	4
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-Brand#12	MEDIUM ANODIZED COPPER	36	4
-Brand#12	MEDIUM ANODIZED COPPER	45	4
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-Brand#12	MEDIUM ANODIZED NICKEL	45	4
-Brand#12	MEDIUM ANODIZED NICKEL	49	4
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-Brand#12	MEDIUM BRUSHED BRASS	49	4
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-Brand#12	MEDIUM BRUSHED COPPER	45	4
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-Brand#12	MEDIUM BRUSHED NICKEL	9	4
-Brand#12	MEDIUM BRUSHED NICKEL	19	4
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-Brand#12	MEDIUM BRUSHED STEEL	45	4
-Brand#12	MEDIUM BRUSHED STEEL	49	4
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-Brand#12	MEDIUM BURNISHED BRASS	9	4
-Brand#12	MEDIUM BURNISHED BRASS	14	4
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-Brand#12	MEDIUM BURNISHED COPPER	14	4
-Brand#12	MEDIUM BURNISHED COPPER	23	4
-Brand#12	MEDIUM BURNISHED COPPER	36	4
-Brand#12	MEDIUM BURNISHED NICKEL	14	4
-Brand#12	MEDIUM BURNISHED NICKEL	19	4
-Brand#12	MEDIUM BURNISHED NICKEL	23	4
-Brand#12	MEDIUM BURNISHED NICKEL	36	4
-Brand#12	MEDIUM BURNISHED NICKEL	45	4
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-Brand#12	MEDIUM BURNISHED STEEL	45	4
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-Brand#12	PROMO ANODIZED COPPER	14	4
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-Brand#12	PROMO ANODIZED STEEL	14	4
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-Brand#12	PROMO BRUSHED COPPER	19	4
-Brand#12	PROMO BRUSHED COPPER	45	4
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-Brand#12	PROMO BRUSHED NICKEL	9	4
-Brand#12	PROMO BRUSHED NICKEL	14	4
-Brand#12	PROMO BRUSHED NICKEL	19	4
-Brand#12	PROMO BRUSHED NICKEL	36	4
-Brand#12	PROMO BRUSHED NICKEL	45	4
-Brand#12	PROMO BRUSHED NICKEL	49	4
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-Brand#12	PROMO BRUSHED TIN	49	4
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-Brand#12	PROMO BURNISHED BRASS	23	4
-Brand#12	PROMO BURNISHED BRASS	36	4
-Brand#12	PROMO BURNISHED BRASS	49	4
-Brand#12	PROMO BURNISHED COPPER	9	4
-Brand#12	PROMO BURNISHED COPPER	14	4
-Brand#12	PROMO BURNISHED COPPER	23	4
-Brand#12	PROMO BURNISHED COPPER	36	4
-Brand#12	PROMO BURNISHED COPPER	45	4
-Brand#12	PROMO BURNISHED COPPER	49	4
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-Brand#12	PROMO BURNISHED NICKEL	19	4
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-Brand#12	PROMO BURNISHED NICKEL	36	4
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-Brand#12	PROMO BURNISHED STEEL	23	4
-Brand#12	PROMO BURNISHED STEEL	45	4
-Brand#12	PROMO BURNISHED STEEL	49	4
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-Brand#12	PROMO PLATED BRASS	23	4
-Brand#12	PROMO PLATED COPPER	3	4
-Brand#12	PROMO PLATED COPPER	19	4
-Brand#12	PROMO PLATED COPPER	49	4
-Brand#12	PROMO PLATED NICKEL	9	4
-Brand#12	PROMO PLATED NICKEL	19	4
-Brand#12	PROMO PLATED NICKEL	49	4
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-Brand#12	PROMO PLATED STEEL	23	4
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-Brand#12	PROMO POLISHED BRASS	45	4
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-Brand#12	PROMO POLISHED COPPER	36	4
-Brand#12	PROMO POLISHED COPPER	49	4
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-Brand#12	PROMO POLISHED NICKEL	23	4
-Brand#12	PROMO POLISHED NICKEL	45	4
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-Brand#12	SMALL ANODIZED COPPER	23	4
-Brand#12	SMALL ANODIZED COPPER	45	4
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-Brand#12	SMALL BRUSHED COPPER	19	4
-Brand#12	SMALL BRUSHED COPPER	23	4
-Brand#12	SMALL BRUSHED COPPER	45	4
-Brand#12	SMALL BRUSHED COPPER	49	4
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-Brand#12	SMALL BURNISHED COPPER	45	4
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-Brand#12	SMALL BURNISHED STEEL	45	4
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-Brand#12	SMALL PLATED COPPER	36	4
-Brand#12	SMALL PLATED COPPER	45	4
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-Brand#12	SMALL POLISHED BRASS	49	4
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-Brand#12	SMALL POLISHED STEEL	49	4
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-Brand#12	STANDARD ANODIZED COPPER	19	4
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-Brand#12	STANDARD ANODIZED COPPER	49	4
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-Brand#12	STANDARD BURNISHED BRASS	45	4
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-Brand#12	STANDARD BURNISHED COPPER	23	4
-Brand#12	STANDARD BURNISHED COPPER	36	4
-Brand#12	STANDARD BURNISHED COPPER	49	4
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-Brand#12	STANDARD BURNISHED NICKEL	45	4
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-Brand#12	STANDARD PLATED BRASS	36	4
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-Brand#12	STANDARD PLATED COPPER	9	4
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-Brand#12	STANDARD POLISHED BRASS	49	4
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-Brand#12	STANDARD POLISHED COPPER	45	4
-Brand#12	STANDARD POLISHED COPPER	49	4
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-Brand#13	ECONOMY ANODIZED BRASS	14	4
-Brand#13	ECONOMY ANODIZED BRASS	23	4
-Brand#13	ECONOMY ANODIZED BRASS	49	4
-Brand#13	ECONOMY ANODIZED COPPER	3	4
-Brand#13	ECONOMY ANODIZED COPPER	36	4
-Brand#13	ECONOMY ANODIZED COPPER	49	4
-Brand#13	ECONOMY ANODIZED STEEL	14	4
-Brand#13	ECONOMY ANODIZED STEEL	19	4
-Brand#13	ECONOMY ANODIZED STEEL	36	4
-Brand#13	ECONOMY ANODIZED STEEL	49	4
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-Brand#13	ECONOMY ANODIZED TIN	14	4
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-Brand#13	ECONOMY BRUSHED BRASS	3	4
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-Brand#13	ECONOMY BRUSHED BRASS	23	4
-Brand#13	ECONOMY BRUSHED BRASS	36	4
-Brand#13	ECONOMY BRUSHED BRASS	49	4
-Brand#13	ECONOMY BRUSHED COPPER	19	4
-Brand#13	ECONOMY BRUSHED COPPER	23	4
-Brand#13	ECONOMY BRUSHED COPPER	45	4
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-Brand#13	ECONOMY BRUSHED NICKEL	9	4
-Brand#13	ECONOMY BRUSHED NICKEL	14	4
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-Brand#13	ECONOMY BRUSHED STEEL	23	4
-Brand#13	ECONOMY BRUSHED STEEL	36	4
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-Brand#13	ECONOMY BRUSHED TIN	45	4
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-Brand#13	ECONOMY BURNISHED BRASS	14	4
-Brand#13	ECONOMY BURNISHED BRASS	19	4
-Brand#13	ECONOMY BURNISHED BRASS	23	4
-Brand#13	ECONOMY BURNISHED BRASS	36	4
-Brand#13	ECONOMY BURNISHED COPPER	3	4
-Brand#13	ECONOMY BURNISHED COPPER	9	4
-Brand#13	ECONOMY BURNISHED COPPER	49	4
-Brand#13	ECONOMY BURNISHED NICKEL	14	4
-Brand#13	ECONOMY BURNISHED NICKEL	23	4
-Brand#13	ECONOMY BURNISHED NICKEL	45	4
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-Brand#13	ECONOMY BURNISHED STEEL	23	4
-Brand#13	ECONOMY BURNISHED STEEL	49	4
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-Brand#13	ECONOMY PLATED BRASS	19	4
-Brand#13	ECONOMY PLATED BRASS	45	4
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-Brand#13	ECONOMY PLATED COPPER	45	4
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-Brand#13	ECONOMY PLATED STEEL	9	4
-Brand#13	ECONOMY PLATED STEEL	14	4
-Brand#13	ECONOMY PLATED STEEL	49	4
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-Brand#13	ECONOMY POLISHED COPPER	14	4
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-Brand#13	ECONOMY POLISHED NICKEL	9	4
-Brand#13	ECONOMY POLISHED NICKEL	14	4
-Brand#13	ECONOMY POLISHED NICKEL	19	4
-Brand#13	ECONOMY POLISHED NICKEL	36	4
-Brand#13	ECONOMY POLISHED NICKEL	45	4
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-Brand#13	LARGE ANODIZED BRASS	23	4
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-Brand#13	LARGE ANODIZED COPPER	14	4
-Brand#13	LARGE ANODIZED COPPER	36	4
-Brand#13	LARGE ANODIZED COPPER	45	4
-Brand#13	LARGE ANODIZED COPPER	49	4
-Brand#13	LARGE ANODIZED NICKEL	3	4
-Brand#13	LARGE ANODIZED NICKEL	9	4
-Brand#13	LARGE ANODIZED NICKEL	36	4
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-Brand#13	LARGE BRUSHED BRASS	36	4
-Brand#13	LARGE BRUSHED COPPER	3	4
-Brand#13	LARGE BRUSHED COPPER	14	4
-Brand#13	LARGE BRUSHED COPPER	23	4
-Brand#13	LARGE BRUSHED COPPER	36	4
-Brand#13	LARGE BRUSHED NICKEL	14	4
-Brand#13	LARGE BRUSHED NICKEL	19	4
-Brand#13	LARGE BRUSHED STEEL	9	4
-Brand#13	LARGE BRUSHED STEEL	14	4
-Brand#13	LARGE BRUSHED STEEL	45	4
-Brand#13	LARGE BRUSHED STEEL	49	4
-Brand#13	LARGE BRUSHED TIN	14	4
-Brand#13	LARGE BRUSHED TIN	19	4
-Brand#13	LARGE BRUSHED TIN	45	4
-Brand#13	LARGE BRUSHED TIN	49	4
-Brand#13	LARGE BURNISHED BRASS	9	4
-Brand#13	LARGE BURNISHED BRASS	19	4
-Brand#13	LARGE BURNISHED BRASS	36	4
-Brand#13	LARGE BURNISHED BRASS	49	4
-Brand#13	LARGE BURNISHED COPPER	9	4
-Brand#13	LARGE BURNISHED COPPER	49	4
-Brand#13	LARGE BURNISHED NICKEL	3	4
-Brand#13	LARGE BURNISHED NICKEL	23	4
-Brand#13	LARGE BURNISHED NICKEL	36	4
-Brand#13	LARGE BURNISHED STEEL	36	4
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-Brand#13	LARGE BURNISHED TIN	19	4
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-Brand#13	LARGE PLATED BRASS	3	4
-Brand#13	LARGE PLATED BRASS	14	4
-Brand#13	LARGE PLATED BRASS	23	4
-Brand#13	LARGE PLATED BRASS	36	4
-Brand#13	LARGE PLATED BRASS	49	4
-Brand#13	LARGE PLATED COPPER	45	4
-Brand#13	LARGE PLATED NICKEL	3	4
-Brand#13	LARGE PLATED NICKEL	14	4
-Brand#13	LARGE PLATED STEEL	19	4
-Brand#13	LARGE PLATED STEEL	23	4
-Brand#13	LARGE PLATED TIN	3	4
-Brand#13	LARGE PLATED TIN	19	4
-Brand#13	LARGE PLATED TIN	49	4
-Brand#13	LARGE POLISHED BRASS	3	4
-Brand#13	LARGE POLISHED BRASS	45	4
-Brand#13	LARGE POLISHED COPPER	3	4
-Brand#13	LARGE POLISHED COPPER	9	4
-Brand#13	LARGE POLISHED COPPER	19	4
-Brand#13	LARGE POLISHED COPPER	23	4
-Brand#13	LARGE POLISHED COPPER	36	4
-Brand#13	LARGE POLISHED COPPER	49	4
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-Brand#13	MEDIUM ANODIZED COPPER	14	4
-Brand#13	MEDIUM ANODIZED COPPER	19	4
-Brand#13	MEDIUM ANODIZED NICKEL	19	4
-Brand#13	MEDIUM ANODIZED NICKEL	23	4
-Brand#13	MEDIUM ANODIZED NICKEL	49	4
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-Brand#13	MEDIUM ANODIZED STEEL	36	4
-Brand#13	MEDIUM ANODIZED STEEL	45	4
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-Brand#13	MEDIUM BRUSHED COPPER	36	4
-Brand#13	MEDIUM BRUSHED COPPER	45	4
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-Brand#13	MEDIUM BRUSHED NICKEL	36	4
-Brand#13	MEDIUM BRUSHED NICKEL	45	4
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-Brand#13	MEDIUM BRUSHED TIN	49	4
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-Brand#13	MEDIUM BURNISHED BRASS	23	4
-Brand#13	MEDIUM BURNISHED BRASS	49	4
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-Brand#13	MEDIUM BURNISHED COPPER	49	4
-Brand#13	MEDIUM BURNISHED NICKEL	14	4
-Brand#13	MEDIUM BURNISHED NICKEL	19	4
-Brand#13	MEDIUM BURNISHED NICKEL	45	4
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-Brand#13	MEDIUM BURNISHED STEEL	23	4
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-Brand#13	MEDIUM PLATED BRASS	36	4
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-Brand#13	PROMO ANODIZED BRASS	49	4
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-Brand#13	PROMO ANODIZED COPPER	36	4
-Brand#13	PROMO ANODIZED COPPER	49	4
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-Brand#13	PROMO ANODIZED NICKEL	19	4
-Brand#13	PROMO ANODIZED NICKEL	23	4
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-Brand#13	PROMO ANODIZED STEEL	9	4
-Brand#13	PROMO ANODIZED STEEL	14	4
-Brand#13	PROMO ANODIZED STEEL	23	4
-Brand#13	PROMO ANODIZED STEEL	45	4
-Brand#13	PROMO ANODIZED STEEL	49	4
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-Brand#13	PROMO ANODIZED TIN	9	4
-Brand#13	PROMO ANODIZED TIN	14	4
-Brand#13	PROMO ANODIZED TIN	19	4
-Brand#13	PROMO ANODIZED TIN	23	4
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-Brand#13	PROMO BRUSHED BRASS	19	4
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-Brand#13	PROMO BRUSHED COPPER	23	4
-Brand#13	PROMO BRUSHED COPPER	45	4
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-Brand#13	PROMO BRUSHED STEEL	19	4
-Brand#13	PROMO BRUSHED STEEL	36	4
-Brand#13	PROMO BRUSHED STEEL	49	4
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-Brand#13	PROMO BURNISHED BRASS	14	4
-Brand#13	PROMO BURNISHED BRASS	49	4
-Brand#13	PROMO BURNISHED COPPER	14	4
-Brand#13	PROMO BURNISHED COPPER	36	4
-Brand#13	PROMO BURNISHED NICKEL	19	4
-Brand#13	PROMO BURNISHED NICKEL	23	4
-Brand#13	PROMO BURNISHED NICKEL	45	4
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-Brand#13	PROMO BURNISHED STEEL	36	4
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-Brand#13	PROMO BURNISHED TIN	49	4
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-Brand#13	PROMO PLATED BRASS	9	4
-Brand#13	PROMO PLATED BRASS	19	4
-Brand#13	PROMO PLATED BRASS	23	4
-Brand#13	PROMO PLATED BRASS	36	4
-Brand#13	PROMO PLATED BRASS	45	4
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-Brand#13	PROMO PLATED COPPER	23	4
-Brand#13	PROMO PLATED COPPER	49	4
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-Brand#13	PROMO PLATED STEEL	23	4
-Brand#13	PROMO PLATED STEEL	36	4
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-Brand#13	PROMO POLISHED COPPER	23	4
-Brand#13	PROMO POLISHED COPPER	49	4
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-Brand#13	PROMO POLISHED STEEL	19	4
-Brand#13	PROMO POLISHED STEEL	49	4
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-Brand#13	SMALL ANODIZED COPPER	14	4
-Brand#13	SMALL ANODIZED COPPER	45	4
-Brand#13	SMALL ANODIZED COPPER	49	4
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-Brand#13	SMALL ANODIZED NICKEL	23	4
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-Brand#13	SMALL BURNISHED BRASS	23	4
-Brand#13	SMALL BURNISHED BRASS	36	4
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-Brand#13	SMALL BURNISHED COPPER	19	4
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-Brand#13	STANDARD ANODIZED BRASS	45	4
-Brand#13	STANDARD ANODIZED COPPER	9	4
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-Brand#13	STANDARD ANODIZED NICKEL	9	4
-Brand#13	STANDARD ANODIZED NICKEL	36	4
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-Brand#13	STANDARD BRUSHED BRASS	49	4
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-Brand#13	STANDARD BRUSHED COPPER	36	4
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-Brand#13	STANDARD POLISHED BRASS	49	4
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-Brand#13	STANDARD POLISHED COPPER	19	4
-Brand#13	STANDARD POLISHED COPPER	49	4
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-Brand#13	STANDARD POLISHED STEEL	3	4
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-Brand#13	STANDARD POLISHED TIN	9	4
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-Brand#14	ECONOMY ANODIZED BRASS	9	4
-Brand#14	ECONOMY ANODIZED BRASS	19	4
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-Brand#14	ECONOMY ANODIZED COPPER	23	4
-Brand#14	ECONOMY ANODIZED COPPER	49	4
-Brand#14	ECONOMY ANODIZED NICKEL	3	4
-Brand#14	ECONOMY ANODIZED NICKEL	19	4
-Brand#14	ECONOMY ANODIZED NICKEL	36	4
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-Brand#14	ECONOMY BRUSHED BRASS	45	4
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-Brand#14	ECONOMY BRUSHED COPPER	14	4
-Brand#14	ECONOMY BRUSHED COPPER	23	4
-Brand#14	ECONOMY BRUSHED COPPER	36	4
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-Brand#14	ECONOMY BRUSHED NICKEL	45	4
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-Brand#14	ECONOMY BRUSHED STEEL	14	4
-Brand#14	ECONOMY BRUSHED STEEL	19	4
-Brand#14	ECONOMY BRUSHED STEEL	23	4
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-Brand#14	ECONOMY BURNISHED BRASS	19	4
-Brand#14	ECONOMY BURNISHED BRASS	36	4
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-Brand#14	ECONOMY BURNISHED COPPER	14	4
-Brand#14	ECONOMY BURNISHED COPPER	19	4
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-Brand#14	ECONOMY BURNISHED NICKEL	19	4
-Brand#14	ECONOMY BURNISHED NICKEL	49	4
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-Brand#14	ECONOMY PLATED BRASS	3	4
-Brand#14	ECONOMY PLATED BRASS	19	4
-Brand#14	ECONOMY PLATED BRASS	23	4
-Brand#14	ECONOMY PLATED BRASS	49	4
-Brand#14	ECONOMY PLATED COPPER	36	4
-Brand#14	ECONOMY PLATED COPPER	45	4
-Brand#14	ECONOMY PLATED COPPER	49	4
-Brand#14	ECONOMY PLATED NICKEL	14	4
-Brand#14	ECONOMY PLATED NICKEL	45	4
-Brand#14	ECONOMY PLATED STEEL	14	4
-Brand#14	ECONOMY PLATED STEEL	19	4
-Brand#14	ECONOMY PLATED STEEL	23	4
-Brand#14	ECONOMY PLATED STEEL	45	4
-Brand#14	ECONOMY PLATED STEEL	49	4
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-Brand#14	ECONOMY PLATED TIN	49	4
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-Brand#14	ECONOMY POLISHED BRASS	45	4
-Brand#14	ECONOMY POLISHED COPPER	3	4
-Brand#14	ECONOMY POLISHED COPPER	9	4
-Brand#14	ECONOMY POLISHED COPPER	19	4
-Brand#14	ECONOMY POLISHED COPPER	36	4
-Brand#14	ECONOMY POLISHED COPPER	45	4
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-Brand#14	ECONOMY POLISHED STEEL	19	4
-Brand#14	ECONOMY POLISHED STEEL	23	4
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-Brand#14	LARGE ANODIZED BRASS	45	4
-Brand#14	LARGE ANODIZED BRASS	49	4
-Brand#14	LARGE ANODIZED COPPER	9	4
-Brand#14	LARGE ANODIZED COPPER	36	4
-Brand#14	LARGE ANODIZED NICKEL	3	4
-Brand#14	LARGE ANODIZED NICKEL	19	4
-Brand#14	LARGE ANODIZED STEEL	14	4
-Brand#14	LARGE ANODIZED STEEL	23	4
-Brand#14	LARGE ANODIZED STEEL	36	4
-Brand#14	LARGE ANODIZED STEEL	49	4
-Brand#14	LARGE ANODIZED TIN	3	4
-Brand#14	LARGE ANODIZED TIN	36	4
-Brand#14	LARGE ANODIZED TIN	45	4
-Brand#14	LARGE ANODIZED TIN	49	4
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-Brand#14	LARGE BRUSHED BRASS	36	4
-Brand#14	LARGE BRUSHED COPPER	3	4
-Brand#14	LARGE BRUSHED COPPER	45	4
-Brand#14	LARGE BRUSHED NICKEL	9	4
-Brand#14	LARGE BRUSHED NICKEL	36	4
-Brand#14	LARGE BRUSHED NICKEL	49	4
-Brand#14	LARGE BRUSHED STEEL	14	4
-Brand#14	LARGE BRUSHED STEEL	23	4
-Brand#14	LARGE BRUSHED STEEL	49	4
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-Brand#14	LARGE BRUSHED TIN	23	4
-Brand#14	LARGE BURNISHED BRASS	3	4
-Brand#14	LARGE BURNISHED BRASS	19	4
-Brand#14	LARGE BURNISHED BRASS	36	4
-Brand#14	LARGE BURNISHED COPPER	3	4
-Brand#14	LARGE BURNISHED COPPER	23	4
-Brand#14	LARGE BURNISHED COPPER	36	4
-Brand#14	LARGE BURNISHED COPPER	45	4
-Brand#14	LARGE BURNISHED NICKEL	14	4
-Brand#14	LARGE BURNISHED NICKEL	19	4
-Brand#14	LARGE BURNISHED NICKEL	45	4
-Brand#14	LARGE BURNISHED STEEL	49	4
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-Brand#14	LARGE BURNISHED TIN	14	4
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-Brand#14	LARGE BURNISHED TIN	49	4
-Brand#14	LARGE PLATED BRASS	3	4
-Brand#14	LARGE PLATED BRASS	9	4
-Brand#14	LARGE PLATED COPPER	9	4
-Brand#14	LARGE PLATED COPPER	14	4
-Brand#14	LARGE PLATED COPPER	19	4
-Brand#14	LARGE PLATED COPPER	45	4
-Brand#14	LARGE PLATED NICKEL	3	4
-Brand#14	LARGE PLATED NICKEL	9	4
-Brand#14	LARGE PLATED NICKEL	14	4
-Brand#14	LARGE PLATED STEEL	14	4
-Brand#14	LARGE PLATED STEEL	19	4
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-Brand#14	LARGE PLATED TIN	9	4
-Brand#14	LARGE PLATED TIN	19	4
-Brand#14	LARGE PLATED TIN	23	4
-Brand#14	LARGE PLATED TIN	45	4
-Brand#14	LARGE PLATED TIN	49	4
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-Brand#14	MEDIUM ANODIZED BRASS	45	4
-Brand#14	MEDIUM ANODIZED BRASS	49	4
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-Brand#14	MEDIUM ANODIZED COPPER	23	4
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-Brand#14	MEDIUM ANODIZED STEEL	45	4
-Brand#14	MEDIUM ANODIZED STEEL	49	4
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-Brand#14	MEDIUM BRUSHED COPPER	14	4
-Brand#14	MEDIUM BRUSHED COPPER	19	4
-Brand#14	MEDIUM BRUSHED COPPER	49	4
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-Brand#14	MEDIUM BRUSHED STEEL	45	4
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-Brand#14	MEDIUM BURNISHED BRASS	14	4
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-Brand#14	MEDIUM BURNISHED COPPER	23	4
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-Brand#14	MEDIUM BURNISHED COPPER	49	4
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-Brand#14	PROMO ANODIZED BRASS	14	4
-Brand#14	PROMO ANODIZED BRASS	49	4
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-Brand#14	PROMO ANODIZED NICKEL	23	4
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-Brand#14	PROMO BRUSHED BRASS	9	4
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-Brand#14	PROMO BRUSHED NICKEL	9	4
-Brand#14	PROMO BRUSHED NICKEL	14	4
-Brand#14	PROMO BRUSHED STEEL	14	4
-Brand#14	PROMO BRUSHED STEEL	19	4
-Brand#14	PROMO BRUSHED STEEL	23	4
-Brand#14	PROMO BRUSHED STEEL	45	4
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-Brand#14	PROMO BRUSHED TIN	19	4
-Brand#14	PROMO BRUSHED TIN	23	4
-Brand#14	PROMO BRUSHED TIN	45	4
-Brand#14	PROMO BRUSHED TIN	49	4
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-Brand#14	PROMO BURNISHED BRASS	14	4
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-Brand#14	PROMO BURNISHED COPPER	9	4
-Brand#14	PROMO BURNISHED COPPER	14	4
-Brand#14	PROMO BURNISHED COPPER	19	4
-Brand#14	PROMO BURNISHED COPPER	36	4
-Brand#14	PROMO BURNISHED NICKEL	23	4
-Brand#14	PROMO BURNISHED NICKEL	45	4
-Brand#14	PROMO BURNISHED NICKEL	49	4
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-Brand#14	PROMO BURNISHED STEEL	19	4
-Brand#14	PROMO BURNISHED STEEL	49	4
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-Brand#14	PROMO PLATED BRASS	23	4
-Brand#14	PROMO PLATED BRASS	49	4
-Brand#14	PROMO PLATED COPPER	3	4
-Brand#14	PROMO PLATED COPPER	9	4
-Brand#14	PROMO PLATED COPPER	36	4
-Brand#14	PROMO PLATED COPPER	49	4
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-Brand#14	PROMO POLISHED COPPER	36	4
-Brand#14	PROMO POLISHED COPPER	45	4
-Brand#14	PROMO POLISHED COPPER	49	4
-Brand#14	PROMO POLISHED NICKEL	19	4
-Brand#14	PROMO POLISHED NICKEL	23	4
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-Brand#14	PROMO POLISHED NICKEL	49	4
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-Brand#14	SMALL ANODIZED BRASS	45	4
-Brand#14	SMALL ANODIZED BRASS	49	4
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-Brand#14	SMALL ANODIZED COPPER	19	4
-Brand#14	SMALL ANODIZED COPPER	23	4
-Brand#14	SMALL ANODIZED COPPER	36	4
-Brand#14	SMALL ANODIZED COPPER	45	4
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-Brand#14	SMALL BURNISHED COPPER	49	4
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-Brand#14	STANDARD ANODIZED BRASS	45	4
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-Brand#14	STANDARD ANODIZED NICKEL	45	4
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-Brand#14	STANDARD BRUSHED COPPER	23	4
-Brand#14	STANDARD BRUSHED COPPER	45	4
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-Brand#14	STANDARD BURNISHED COPPER	45	4
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-Brand#14	STANDARD POLISHED NICKEL	23	4
-Brand#14	STANDARD POLISHED NICKEL	45	4
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-Brand#15	ECONOMY ANODIZED BRASS	14	4
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-Brand#15	ECONOMY ANODIZED BRASS	45	4
-Brand#15	ECONOMY ANODIZED BRASS	49	4
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-Brand#15	ECONOMY ANODIZED COPPER	14	4
-Brand#15	ECONOMY ANODIZED COPPER	23	4
-Brand#15	ECONOMY ANODIZED COPPER	36	4
-Brand#15	ECONOMY ANODIZED NICKEL	14	4
-Brand#15	ECONOMY ANODIZED NICKEL	45	4
-Brand#15	ECONOMY ANODIZED NICKEL	49	4
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-Brand#15	ECONOMY ANODIZED STEEL	19	4
-Brand#15	ECONOMY ANODIZED STEEL	45	4
-Brand#15	ECONOMY ANODIZED STEEL	49	4
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-Brand#15	ECONOMY ANODIZED TIN	23	4
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-Brand#15	ECONOMY BRUSHED BRASS	36	4
-Brand#15	ECONOMY BRUSHED BRASS	45	4
-Brand#15	ECONOMY BRUSHED BRASS	49	4
-Brand#15	ECONOMY BRUSHED COPPER	14	4
-Brand#15	ECONOMY BRUSHED COPPER	19	4
-Brand#15	ECONOMY BRUSHED COPPER	45	4
-Brand#15	ECONOMY BRUSHED COPPER	49	4
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-Brand#15	ECONOMY BURNISHED NICKEL	45	4
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-Brand#15	ECONOMY BURNISHED STEEL	36	4
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-Brand#15	ECONOMY PLATED BRASS	23	4
-Brand#15	ECONOMY PLATED BRASS	45	4
-Brand#15	ECONOMY PLATED BRASS	49	4
-Brand#15	ECONOMY PLATED COPPER	14	4
-Brand#15	ECONOMY PLATED COPPER	19	4
-Brand#15	ECONOMY PLATED NICKEL	3	4
-Brand#15	ECONOMY PLATED NICKEL	23	4
-Brand#15	ECONOMY PLATED NICKEL	49	4
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-Brand#15	ECONOMY PLATED STEEL	23	4
-Brand#15	ECONOMY PLATED STEEL	36	4
-Brand#15	ECONOMY PLATED STEEL	45	4
-Brand#15	ECONOMY PLATED STEEL	49	4
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-Brand#15	ECONOMY PLATED TIN	19	4
-Brand#15	ECONOMY PLATED TIN	23	4
-Brand#15	ECONOMY PLATED TIN	36	4
-Brand#15	ECONOMY PLATED TIN	45	4
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-Brand#15	ECONOMY POLISHED BRASS	23	4
-Brand#15	ECONOMY POLISHED BRASS	45	4
-Brand#15	ECONOMY POLISHED BRASS	49	4
-Brand#15	ECONOMY POLISHED COPPER	14	4
-Brand#15	ECONOMY POLISHED COPPER	19	4
-Brand#15	ECONOMY POLISHED COPPER	23	4
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-Brand#15	ECONOMY POLISHED STEEL	45	4
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-Brand#15	ECONOMY POLISHED TIN	45	4
-Brand#15	ECONOMY POLISHED TIN	49	4
-Brand#15	LARGE ANODIZED BRASS	23	4
-Brand#15	LARGE ANODIZED BRASS	45	4
-Brand#15	LARGE ANODIZED BRASS	49	4
-Brand#15	LARGE ANODIZED COPPER	3	4
-Brand#15	LARGE ANODIZED COPPER	9	4
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-Brand#15	LARGE ANODIZED NICKEL	45	4
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-Brand#15	LARGE ANODIZED STEEL	36	4
-Brand#15	LARGE ANODIZED STEEL	49	4
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-Brand#15	LARGE ANODIZED TIN	9	4
-Brand#15	LARGE ANODIZED TIN	19	4
-Brand#15	LARGE ANODIZED TIN	45	4
-Brand#15	LARGE ANODIZED TIN	49	4
-Brand#15	LARGE BRUSHED BRASS	3	4
-Brand#15	LARGE BRUSHED COPPER	23	4
-Brand#15	LARGE BRUSHED COPPER	49	4
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-Brand#15	LARGE BRUSHED NICKEL	14	4
-Brand#15	LARGE BRUSHED NICKEL	23	4
-Brand#15	LARGE BRUSHED NICKEL	36	4
-Brand#15	LARGE BRUSHED STEEL	3	4
-Brand#15	LARGE BRUSHED STEEL	9	4
-Brand#15	LARGE BRUSHED STEEL	36	4
-Brand#15	LARGE BRUSHED STEEL	49	4
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-Brand#15	LARGE BRUSHED TIN	45	4
-Brand#15	LARGE BURNISHED BRASS	49	4
-Brand#15	LARGE BURNISHED COPPER	3	4
-Brand#15	LARGE BURNISHED COPPER	14	4
-Brand#15	LARGE BURNISHED NICKEL	14	4
-Brand#15	LARGE BURNISHED NICKEL	23	4
-Brand#15	LARGE BURNISHED NICKEL	45	4
-Brand#15	LARGE BURNISHED STEEL	3	4
-Brand#15	LARGE BURNISHED TIN	3	4
-Brand#15	LARGE BURNISHED TIN	9	4
-Brand#15	LARGE BURNISHED TIN	19	4
-Brand#15	LARGE BURNISHED TIN	23	4
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-Brand#15	LARGE PLATED BRASS	3	4
-Brand#15	LARGE PLATED BRASS	14	4
-Brand#15	LARGE PLATED BRASS	19	4
-Brand#15	LARGE PLATED BRASS	23	4
-Brand#15	LARGE PLATED BRASS	49	4
-Brand#15	LARGE PLATED COPPER	3	4
-Brand#15	LARGE PLATED COPPER	14	4
-Brand#15	LARGE PLATED COPPER	23	4
-Brand#15	LARGE PLATED NICKEL	36	4
-Brand#15	LARGE PLATED STEEL	3	4
-Brand#15	LARGE PLATED STEEL	45	4
-Brand#15	LARGE PLATED STEEL	49	4
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-Brand#15	LARGE PLATED TIN	19	4
-Brand#15	LARGE PLATED TIN	36	4
-Brand#15	LARGE PLATED TIN	45	4
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-Brand#21	MEDIUM BURNISHED COPPER	9	4
-Brand#21	MEDIUM BURNISHED COPPER	14	4
-Brand#21	MEDIUM BURNISHED COPPER	45	4
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-Brand#21	MEDIUM BURNISHED NICKEL	45	4
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-Brand#21	PROMO ANODIZED COPPER	19	4
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-Brand#21	PROMO BRUSHED COPPER	14	4
-Brand#21	PROMO BRUSHED COPPER	19	4
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-Brand#21	PROMO BURNISHED BRASS	36	4
-Brand#21	PROMO BURNISHED COPPER	14	4
-Brand#21	PROMO BURNISHED COPPER	19	4
-Brand#21	PROMO BURNISHED COPPER	23	4
-Brand#21	PROMO BURNISHED COPPER	36	4
-Brand#21	PROMO BURNISHED COPPER	45	4
-Brand#21	PROMO BURNISHED NICKEL	9	4
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-Brand#22	ECONOMY POLISHED BRASS	49	4
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-Brand#22	ECONOMY POLISHED NICKEL	49	4
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-Brand#22	LARGE ANODIZED BRASS	36	4
-Brand#22	LARGE ANODIZED BRASS	45	4
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-Brand#22	LARGE ANODIZED COPPER	45	4
-Brand#22	LARGE ANODIZED COPPER	49	4
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-Brand#22	LARGE ANODIZED NICKEL	36	4
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-Brand#22	LARGE BRUSHED TIN	19	4
-Brand#22	LARGE BRUSHED TIN	45	4
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-Brand#22	LARGE BURNISHED BRASS	45	4
-Brand#22	LARGE BURNISHED BRASS	49	4
-Brand#22	LARGE BURNISHED COPPER	3	4
-Brand#22	LARGE BURNISHED COPPER	14	4
-Brand#22	LARGE BURNISHED COPPER	36	4
-Brand#22	LARGE BURNISHED COPPER	45	4
-Brand#22	LARGE BURNISHED COPPER	49	4
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-Brand#22	LARGE BURNISHED STEEL	45	4
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-Brand#22	LARGE PLATED BRASS	36	4
-Brand#22	LARGE PLATED BRASS	49	4
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-Brand#22	LARGE PLATED COPPER	14	4
-Brand#22	LARGE PLATED COPPER	49	4
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-Brand#22	LARGE PLATED STEEL	45	4
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-Brand#24	MEDIUM ANODIZED STEEL	36	4
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-Brand#24	MEDIUM ANODIZED TIN	36	4
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-Brand#24	MEDIUM BURNISHED BRASS	45	4
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-Brand#24	PROMO ANODIZED COPPER	49	4
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-Brand#24	PROMO BURNISHED COPPER	9	4
-Brand#24	PROMO BURNISHED COPPER	14	4
-Brand#24	PROMO BURNISHED COPPER	19	4
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-Brand#25	ECONOMY ANODIZED COPPER	49	4
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-Brand#25	ECONOMY ANODIZED NICKEL	49	4
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-Brand#25	ECONOMY BURNISHED BRASS	45	4
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-Brand#25	ECONOMY PLATED BRASS	45	4
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-Brand#25	ECONOMY PLATED NICKEL	23	4
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-Brand#25	ECONOMY POLISHED COPPER	45	4
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-Brand#25	ECONOMY POLISHED NICKEL	49	4
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-Brand#25	ECONOMY POLISHED STEEL	45	4
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-Brand#25	LARGE ANODIZED BRASS	36	4
-Brand#25	LARGE ANODIZED BRASS	49	4
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-Brand#25	LARGE ANODIZED NICKEL	19	4
-Brand#25	LARGE ANODIZED NICKEL	23	4
-Brand#25	LARGE ANODIZED NICKEL	49	4
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-Brand#25	LARGE ANODIZED STEEL	49	4
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-Brand#25	LARGE BRUSHED BRASS	45	4
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-Brand#25	LARGE BRUSHED COPPER	9	4
-Brand#25	LARGE BRUSHED COPPER	19	4
-Brand#25	LARGE BRUSHED COPPER	23	4
-Brand#25	LARGE BRUSHED COPPER	45	4
-Brand#25	LARGE BRUSHED COPPER	49	4
-Brand#25	LARGE BRUSHED NICKEL	3	4
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-Brand#25	LARGE BRUSHED NICKEL	45	4
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-Brand#25	LARGE BRUSHED STEEL	14	4
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-Brand#25	LARGE BRUSHED TIN	23	4
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-Brand#25	LARGE BURNISHED COPPER	49	4
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-Brand#25	LARGE BURNISHED STEEL	9	4
-Brand#25	LARGE BURNISHED STEEL	19	4
-Brand#25	LARGE BURNISHED STEEL	49	4
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-Brand#25	LARGE PLATED BRASS	45	4
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-Brand#25	LARGE PLATED NICKEL	19	4
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-Brand#41	PROMO ANODIZED COPPER	23	4
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-Brand#41	PROMO ANODIZED TIN	19	4
-Brand#41	PROMO ANODIZED TIN	23	4
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-Brand#41	PROMO BRUSHED COPPER	9	4
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-Brand#41	PROMO BURNISHED BRASS	19	4
-Brand#41	PROMO BURNISHED BRASS	36	4
-Brand#41	PROMO BURNISHED BRASS	45	4
-Brand#41	PROMO BURNISHED BRASS	49	4
-Brand#41	PROMO BURNISHED COPPER	3	4
-Brand#41	PROMO BURNISHED COPPER	14	4
-Brand#41	PROMO BURNISHED NICKEL	3	4
-Brand#41	PROMO BURNISHED NICKEL	9	4
-Brand#41	PROMO BURNISHED NICKEL	45	4
-Brand#41	PROMO BURNISHED NICKEL	49	4
-Brand#41	PROMO BURNISHED STEEL	3	4
-Brand#41	PROMO BURNISHED STEEL	9	4
-Brand#41	PROMO BURNISHED STEEL	19	4
-Brand#41	PROMO BURNISHED STEEL	23	4
-Brand#41	PROMO BURNISHED STEEL	45	4
-Brand#41	PROMO BURNISHED STEEL	49	4
-Brand#41	PROMO BURNISHED TIN	9	4
-Brand#41	PROMO BURNISHED TIN	36	4
-Brand#41	PROMO BURNISHED TIN	45	4
-Brand#41	PROMO BURNISHED TIN	49	4
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-Brand#41	PROMO PLATED BRASS	23	4
-Brand#41	PROMO PLATED BRASS	45	4
-Brand#41	PROMO PLATED COPPER	3	4
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-Brand#41	PROMO PLATED NICKEL	23	4
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-Brand#41	PROMO POLISHED BRASS	49	4
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-Brand#41	PROMO POLISHED NICKEL	36	4
-Brand#41	PROMO POLISHED NICKEL	45	4
-Brand#41	PROMO POLISHED NICKEL	49	4
-Brand#41	PROMO POLISHED STEEL	14	4
-Brand#41	PROMO POLISHED STEEL	23	4
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-Brand#41	SMALL ANODIZED NICKEL	3	4
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-Brand#41	SMALL ANODIZED NICKEL	49	4
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-Brand#41	SMALL BRUSHED BRASS	36	4
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-Brand#41	SMALL BRUSHED NICKEL	3	4
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-Brand#41	SMALL BRUSHED NICKEL	49	4
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-Brand#41	SMALL BRUSHED TIN	45	4
-Brand#41	SMALL BRUSHED TIN	49	4
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-Brand#41	SMALL BURNISHED BRASS	36	4
-Brand#41	SMALL BURNISHED COPPER	14	4
-Brand#41	SMALL BURNISHED COPPER	36	4
-Brand#41	SMALL BURNISHED COPPER	49	4
-Brand#41	SMALL BURNISHED NICKEL	14	4
-Brand#41	SMALL BURNISHED NICKEL	49	4
-Brand#41	SMALL BURNISHED STEEL	14	4
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-Brand#41	SMALL BURNISHED STEEL	36	4
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-Brand#41	SMALL BURNISHED TIN	19	4
-Brand#41	SMALL BURNISHED TIN	36	4
-Brand#41	SMALL BURNISHED TIN	45	4
-Brand#41	SMALL BURNISHED TIN	49	4
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-Brand#41	SMALL PLATED COPPER	36	4
-Brand#41	SMALL PLATED COPPER	45	4
-Brand#41	SMALL PLATED COPPER	49	4
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-Brand#41	SMALL POLISHED BRASS	14	4
-Brand#41	SMALL POLISHED BRASS	23	4
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-Brand#41	SMALL POLISHED COPPER	19	4
-Brand#41	SMALL POLISHED COPPER	49	4
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-Brand#41	SMALL POLISHED STEEL	14	4
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-Brand#41	STANDARD ANODIZED BRASS	49	4
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-Brand#41	STANDARD ANODIZED COPPER	45	4
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-Brand#41	STANDARD ANODIZED TIN	14	4
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-Brand#41	STANDARD ANODIZED TIN	45	4
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-Brand#41	STANDARD BRUSHED BRASS	45	4
-Brand#41	STANDARD BRUSHED BRASS	49	4
-Brand#41	STANDARD BRUSHED COPPER	14	4
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-Brand#41	STANDARD BRUSHED COPPER	36	4
-Brand#41	STANDARD BRUSHED COPPER	49	4
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-Brand#41	STANDARD BURNISHED BRASS	45	4
-Brand#41	STANDARD BURNISHED BRASS	49	4
-Brand#41	STANDARD BURNISHED COPPER	3	4
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-Brand#41	STANDARD POLISHED BRASS	49	4
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-Brand#41	STANDARD POLISHED COPPER	45	4
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-Brand#41	STANDARD POLISHED STEEL	23	4
-Brand#41	STANDARD POLISHED STEEL	49	4
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-Brand#42	ECONOMY ANODIZED COPPER	19	4
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-Brand#42	ECONOMY BRUSHED BRASS	45	4
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-Brand#42	ECONOMY BRUSHED COPPER	23	4
-Brand#42	ECONOMY BRUSHED COPPER	45	4
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-Brand#42	ECONOMY BURNISHED BRASS	36	4
-Brand#42	ECONOMY BURNISHED BRASS	45	4
-Brand#42	ECONOMY BURNISHED BRASS	49	4
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-Brand#42	ECONOMY BURNISHED COPPER	23	4
-Brand#42	ECONOMY BURNISHED COPPER	36	4
-Brand#42	ECONOMY BURNISHED COPPER	45	4
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-Brand#42	ECONOMY POLISHED BRASS	36	4
-Brand#42	ECONOMY POLISHED BRASS	45	4
-Brand#42	ECONOMY POLISHED BRASS	49	4
-Brand#42	ECONOMY POLISHED COPPER	14	4
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-Brand#42	ECONOMY POLISHED COPPER	49	4
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-Brand#42	ECONOMY POLISHED STEEL	45	4
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-Brand#42	LARGE ANODIZED COPPER	9	4
-Brand#42	LARGE ANODIZED COPPER	19	4
-Brand#42	LARGE ANODIZED COPPER	45	4
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-Brand#42	LARGE ANODIZED NICKEL	19	4
-Brand#42	LARGE ANODIZED NICKEL	23	4
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-Brand#42	LARGE ANODIZED STEEL	45	4
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-Brand#42	LARGE BRUSHED COPPER	36	4
-Brand#42	LARGE BRUSHED COPPER	45	4
-Brand#42	LARGE BRUSHED NICKEL	3	4
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-Brand#42	LARGE BRUSHED NICKEL	45	4
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-Brand#42	LARGE BRUSHED STEEL	49	4
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-Brand#42	LARGE BURNISHED BRASS	36	4
-Brand#42	LARGE BURNISHED BRASS	45	4
-Brand#42	LARGE BURNISHED COPPER	3	4
-Brand#42	LARGE BURNISHED COPPER	23	4
-Brand#42	LARGE BURNISHED COPPER	45	4
-Brand#42	LARGE BURNISHED COPPER	49	4
-Brand#42	LARGE BURNISHED NICKEL	36	4
-Brand#42	LARGE BURNISHED NICKEL	45	4
-Brand#42	LARGE BURNISHED STEEL	14	4
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-Brand#42	LARGE BURNISHED STEEL	45	4
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-Brand#42	LARGE PLATED BRASS	45	4
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-Brand#42	LARGE PLATED NICKEL	36	4
-Brand#42	LARGE PLATED NICKEL	49	4
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-Brand#42	LARGE PLATED STEEL	23	4
-Brand#42	LARGE PLATED STEEL	36	4
-Brand#42	LARGE PLATED STEEL	49	4
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-Brand#42	LARGE POLISHED BRASS	23	4
-Brand#42	LARGE POLISHED BRASS	45	4
-Brand#42	LARGE POLISHED BRASS	49	4
-Brand#42	LARGE POLISHED COPPER	9	4
-Brand#42	LARGE POLISHED COPPER	19	4
-Brand#42	LARGE POLISHED COPPER	45	4
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-Brand#42	LARGE POLISHED NICKEL	9	4
-Brand#42	LARGE POLISHED NICKEL	14	4
-Brand#42	LARGE POLISHED NICKEL	19	4
-Brand#42	LARGE POLISHED NICKEL	45	4
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-Brand#42	LARGE POLISHED STEEL	49	4
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-Brand#42	MEDIUM ANODIZED BRASS	36	4
-Brand#42	MEDIUM ANODIZED BRASS	45	4
-Brand#42	MEDIUM ANODIZED COPPER	9	4
-Brand#42	MEDIUM ANODIZED COPPER	14	4
-Brand#42	MEDIUM ANODIZED NICKEL	3	4
-Brand#42	MEDIUM ANODIZED NICKEL	9	4
-Brand#42	MEDIUM ANODIZED NICKEL	14	4
-Brand#42	MEDIUM ANODIZED NICKEL	23	4
-Brand#42	MEDIUM ANODIZED NICKEL	45	4
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-Brand#42	MEDIUM BRUSHED BRASS	36	4
-Brand#42	MEDIUM BRUSHED BRASS	45	4
-Brand#42	MEDIUM BRUSHED COPPER	23	4
-Brand#42	MEDIUM BRUSHED COPPER	36	4
-Brand#42	MEDIUM BRUSHED COPPER	45	4
-Brand#42	MEDIUM BRUSHED NICKEL	23	4
-Brand#42	MEDIUM BRUSHED NICKEL	45	4
-Brand#42	MEDIUM BRUSHED STEEL	9	4
-Brand#42	MEDIUM BRUSHED STEEL	23	4
-Brand#42	MEDIUM BRUSHED TIN	3	4
-Brand#42	MEDIUM BRUSHED TIN	9	4
-Brand#42	MEDIUM BRUSHED TIN	36	4
-Brand#42	MEDIUM BRUSHED TIN	45	4
-Brand#42	MEDIUM BURNISHED BRASS	3	4
-Brand#42	MEDIUM BURNISHED BRASS	9	4
-Brand#42	MEDIUM BURNISHED BRASS	19	4
-Brand#42	MEDIUM BURNISHED BRASS	23	4
-Brand#42	MEDIUM BURNISHED BRASS	49	4
-Brand#42	MEDIUM BURNISHED COPPER	19	4
-Brand#42	MEDIUM BURNISHED COPPER	36	4
-Brand#42	MEDIUM BURNISHED NICKEL	45	4
-Brand#42	MEDIUM BURNISHED NICKEL	49	4
-Brand#42	MEDIUM BURNISHED STEEL	45	4
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-Brand#42	MEDIUM PLATED BRASS	23	4
-Brand#42	MEDIUM PLATED COPPER	9	4
-Brand#42	MEDIUM PLATED COPPER	14	4
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-Brand#42	MEDIUM PLATED NICKEL	3	4
-Brand#42	MEDIUM PLATED NICKEL	45	4
-Brand#42	MEDIUM PLATED NICKEL	49	4
-Brand#42	MEDIUM PLATED STEEL	23	4
-Brand#42	MEDIUM PLATED STEEL	49	4
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-Brand#42	PROMO ANODIZED COPPER	49	4
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-Brand#42	PROMO BRUSHED COPPER	23	4
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-Brand#42	PROMO BRUSHED COPPER	45	4
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-Brand#42	PROMO BRUSHED TIN	49	4
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-Brand#42	PROMO BURNISHED BRASS	36	4
-Brand#42	PROMO BURNISHED COPPER	3	4
-Brand#42	PROMO BURNISHED COPPER	14	4
-Brand#42	PROMO BURNISHED COPPER	19	4
-Brand#42	PROMO BURNISHED NICKEL	9	4
-Brand#42	PROMO BURNISHED NICKEL	19	4
-Brand#42	PROMO BURNISHED NICKEL	49	4
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-Brand#42	PROMO BURNISHED STEEL	14	4
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-Brand#42	PROMO PLATED COPPER	3	4
-Brand#42	PROMO PLATED COPPER	14	4
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-Brand#42	PROMO PLATED COPPER	49	4
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-Brand#42	SMALL ANODIZED BRASS	49	4
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-Brand#42	SMALL ANODIZED COPPER	9	4
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-Brand#42	SMALL BRUSHED BRASS	23	4
-Brand#42	SMALL BRUSHED BRASS	49	4
-Brand#42	SMALL BRUSHED COPPER	23	4
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-Brand#42	SMALL BRUSHED NICKEL	19	4
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-Brand#42	SMALL BURNISHED BRASS	19	4
-Brand#42	SMALL BURNISHED BRASS	45	4
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-Brand#42	SMALL BURNISHED COPPER	14	4
-Brand#42	SMALL BURNISHED COPPER	19	4
-Brand#42	SMALL BURNISHED COPPER	23	4
-Brand#42	SMALL BURNISHED COPPER	49	4
-Brand#42	SMALL BURNISHED NICKEL	9	4
-Brand#42	SMALL BURNISHED NICKEL	14	4
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-Brand#42	SMALL POLISHED COPPER	49	4
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-Brand#42	STANDARD BURNISHED COPPER	14	4
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-Brand#43	ECONOMY ANODIZED COPPER	36	4
-Brand#43	ECONOMY ANODIZED COPPER	49	4
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-Brand#43	ECONOMY POLISHED BRASS	49	4
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-Brand#43	LARGE BURNISHED COPPER	49	4
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-Brand#43	LARGE PLATED COPPER	49	4
-Brand#43	LARGE PLATED NICKEL	19	4
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-Brand#43	LARGE POLISHED BRASS	49	4
-Brand#43	LARGE POLISHED COPPER	9	4
-Brand#43	LARGE POLISHED COPPER	45	4
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-Brand#43	LARGE POLISHED NICKEL	36	4
-Brand#43	LARGE POLISHED NICKEL	45	4
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-Brand#43	LARGE POLISHED STEEL	45	4
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-Brand#43	MEDIUM ANODIZED BRASS	23	4
-Brand#43	MEDIUM ANODIZED BRASS	45	4
-Brand#43	MEDIUM ANODIZED COPPER	36	4
-Brand#43	MEDIUM ANODIZED NICKEL	19	4
-Brand#43	MEDIUM ANODIZED NICKEL	23	4
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-Brand#43	MEDIUM ANODIZED STEEL	49	4
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-Brand#43	MEDIUM BRUSHED BRASS	49	4
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-Brand#43	MEDIUM BRUSHED COPPER	19	4
-Brand#43	MEDIUM BRUSHED COPPER	36	4
-Brand#43	MEDIUM BRUSHED COPPER	49	4
-Brand#43	MEDIUM BRUSHED NICKEL	9	4
-Brand#43	MEDIUM BRUSHED NICKEL	14	4
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-Brand#43	MEDIUM BRUSHED NICKEL	36	4
-Brand#43	MEDIUM BRUSHED NICKEL	45	4
-Brand#43	MEDIUM BRUSHED NICKEL	49	4
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-Brand#43	MEDIUM BRUSHED STEEL	9	4
-Brand#43	MEDIUM BRUSHED STEEL	23	4
-Brand#43	MEDIUM BRUSHED STEEL	45	4
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-Brand#43	MEDIUM BRUSHED TIN	14	4
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-Brand#43	MEDIUM BURNISHED BRASS	14	4
-Brand#43	MEDIUM BURNISHED COPPER	9	4
-Brand#43	MEDIUM BURNISHED COPPER	36	4
-Brand#43	MEDIUM BURNISHED COPPER	45	4
-Brand#43	MEDIUM BURNISHED NICKEL	3	4
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-Brand#43	PROMO ANODIZED BRASS	49	4
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-Brand#43	PROMO ANODIZED COPPER	14	4
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-Brand#43	PROMO ANODIZED COPPER	49	4
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-Brand#43	PROMO BURNISHED BRASS	36	4
-Brand#43	PROMO BURNISHED BRASS	45	4
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-Brand#43	PROMO BURNISHED COPPER	9	4
-Brand#43	PROMO BURNISHED COPPER	19	4
-Brand#43	PROMO BURNISHED COPPER	23	4
-Brand#43	PROMO BURNISHED COPPER	45	4
-Brand#43	PROMO BURNISHED NICKEL	9	4
-Brand#43	PROMO BURNISHED NICKEL	19	4
-Brand#43	PROMO BURNISHED NICKEL	23	4
-Brand#43	PROMO BURNISHED NICKEL	36	4
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-Brand#43	PROMO BURNISHED STEEL	9	4
-Brand#43	PROMO BURNISHED STEEL	19	4
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-Brand#43	PROMO PLATED BRASS	9	4
-Brand#43	PROMO PLATED BRASS	19	4
-Brand#43	PROMO PLATED BRASS	23	4
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-Brand#43	PROMO PLATED COPPER	23	4
-Brand#43	PROMO PLATED COPPER	36	4
-Brand#43	PROMO PLATED COPPER	49	4
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-Brand#43	PROMO POLISHED BRASS	19	4
-Brand#43	PROMO POLISHED BRASS	49	4
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-Brand#43	PROMO POLISHED COPPER	45	4
-Brand#43	PROMO POLISHED COPPER	49	4
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-Brand#43	SMALL ANODIZED NICKEL	49	4
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-Brand#43	SMALL BRUSHED NICKEL	19	4
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-Brand#43	SMALL BRUSHED STEEL	23	4
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-Brand#43	SMALL BURNISHED BRASS	23	4
-Brand#43	SMALL BURNISHED BRASS	49	4
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-Brand#43	SMALL BURNISHED COPPER	9	4
-Brand#43	SMALL BURNISHED COPPER	36	4
-Brand#43	SMALL BURNISHED NICKEL	3	4
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-Brand#43	SMALL BURNISHED STEEL	23	4
-Brand#43	SMALL BURNISHED STEEL	49	4
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-Brand#43	SMALL BURNISHED TIN	36	4
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-Brand#43	SMALL POLISHED BRASS	49	4
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-Brand#43	SMALL POLISHED NICKEL	49	4
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-Brand#43	SMALL POLISHED STEEL	23	4
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-Brand#43	STANDARD ANODIZED BRASS	45	4
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-Brand#43	STANDARD ANODIZED COPPER	45	4
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-Brand#43	STANDARD BRUSHED COPPER	45	4
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-Brand#43	STANDARD PLATED BRASS	49	4
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-Brand#43	STANDARD POLISHED COPPER	14	4
-Brand#43	STANDARD POLISHED COPPER	23	4
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-Brand#44	ECONOMY ANODIZED BRASS	49	4
-Brand#44	ECONOMY ANODIZED COPPER	14	4
-Brand#44	ECONOMY ANODIZED COPPER	19	4
-Brand#44	ECONOMY ANODIZED COPPER	36	4
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-Brand#44	ECONOMY ANODIZED NICKEL	49	4
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-Brand#44	ECONOMY BRUSHED BRASS	49	4
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-Brand#44	ECONOMY BRUSHED COPPER	14	4
-Brand#44	ECONOMY BRUSHED COPPER	36	4
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-Brand#44	ECONOMY BURNISHED BRASS	49	4
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-Brand#44	ECONOMY POLISHED COPPER	45	4
-Brand#44	ECONOMY POLISHED COPPER	49	4
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-Brand#44	LARGE ANODIZED STEEL	45	4
-Brand#44	LARGE ANODIZED STEEL	49	4
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-Brand#44	LARGE BRUSHED BRASS	49	4
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-Brand#44	LARGE BRUSHED COPPER	19	4
-Brand#44	LARGE BRUSHED COPPER	45	4
-Brand#44	LARGE BRUSHED COPPER	49	4
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-Brand#44	LARGE BRUSHED TIN	45	4
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-Brand#44	LARGE BURNISHED BRASS	23	4
-Brand#44	LARGE BURNISHED BRASS	45	4
-Brand#44	LARGE BURNISHED COPPER	3	4
-Brand#44	LARGE BURNISHED COPPER	36	4
-Brand#44	LARGE BURNISHED COPPER	45	4
-Brand#44	LARGE BURNISHED COPPER	49	4
-Brand#44	LARGE BURNISHED NICKEL	19	4
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-Brand#44	LARGE PLATED NICKEL	49	4
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-Brand#44	LARGE POLISHED COPPER	14	4
-Brand#44	LARGE POLISHED COPPER	19	4
-Brand#44	LARGE POLISHED NICKEL	14	4
-Brand#44	LARGE POLISHED NICKEL	45	4
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-Brand#44	LARGE POLISHED STEEL	14	4
-Brand#44	LARGE POLISHED STEEL	23	4
-Brand#44	LARGE POLISHED STEEL	49	4
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-Brand#44	MEDIUM ANODIZED BRASS	19	4
-Brand#44	MEDIUM ANODIZED COPPER	3	4
-Brand#44	MEDIUM ANODIZED COPPER	19	4
-Brand#44	MEDIUM ANODIZED COPPER	23	4
-Brand#44	MEDIUM ANODIZED NICKEL	3	4
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-Brand#44	MEDIUM ANODIZED TIN	14	4
-Brand#44	MEDIUM ANODIZED TIN	19	4
-Brand#44	MEDIUM ANODIZED TIN	23	4
-Brand#44	MEDIUM ANODIZED TIN	36	4
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-Brand#44	MEDIUM BRUSHED BRASS	19	4
-Brand#44	MEDIUM BRUSHED BRASS	23	4
-Brand#44	MEDIUM BRUSHED COPPER	45	4
-Brand#44	MEDIUM BRUSHED NICKEL	9	4
-Brand#44	MEDIUM BRUSHED NICKEL	19	4
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-Brand#44	MEDIUM BRUSHED STEEL	23	4
-Brand#44	MEDIUM BRUSHED STEEL	49	4
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-Brand#44	MEDIUM BRUSHED TIN	23	4
-Brand#44	MEDIUM BRUSHED TIN	49	4
-Brand#44	MEDIUM BURNISHED BRASS	14	4
-Brand#44	MEDIUM BURNISHED BRASS	19	4
-Brand#44	MEDIUM BURNISHED BRASS	23	4
-Brand#44	MEDIUM BURNISHED BRASS	49	4
-Brand#44	MEDIUM BURNISHED COPPER	14	4
-Brand#44	MEDIUM BURNISHED COPPER	23	4
-Brand#44	MEDIUM BURNISHED NICKEL	9	4
-Brand#44	MEDIUM BURNISHED NICKEL	19	4
-Brand#44	MEDIUM BURNISHED STEEL	9	4
-Brand#44	MEDIUM BURNISHED STEEL	36	4
-Brand#44	MEDIUM BURNISHED STEEL	45	4
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-Brand#44	MEDIUM BURNISHED TIN	9	4
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-Brand#44	MEDIUM PLATED NICKEL	9	4
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-Brand#44	MEDIUM PLATED NICKEL	19	4
-Brand#44	MEDIUM PLATED NICKEL	36	4
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-Brand#44	PROMO ANODIZED COPPER	3	4
-Brand#44	PROMO ANODIZED COPPER	9	4
-Brand#44	PROMO ANODIZED COPPER	14	4
-Brand#44	PROMO ANODIZED COPPER	49	4
-Brand#44	PROMO ANODIZED NICKEL	3	4
-Brand#44	PROMO ANODIZED NICKEL	49	4
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-Brand#44	PROMO BRUSHED BRASS	49	4
-Brand#44	PROMO BRUSHED COPPER	14	4
-Brand#44	PROMO BRUSHED COPPER	19	4
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-Brand#44	PROMO BRUSHED COPPER	49	4
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-Brand#44	PROMO BRUSHED NICKEL	49	4
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-Brand#44	PROMO BURNISHED BRASS	14	4
-Brand#44	PROMO BURNISHED BRASS	23	4
-Brand#44	PROMO BURNISHED BRASS	45	4
-Brand#44	PROMO BURNISHED COPPER	14	4
-Brand#44	PROMO BURNISHED COPPER	19	4
-Brand#44	PROMO BURNISHED COPPER	36	4
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-Brand#44	PROMO BURNISHED NICKEL	23	4
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-Brand#44	PROMO PLATED BRASS	49	4
-Brand#44	PROMO PLATED COPPER	3	4
-Brand#44	PROMO PLATED COPPER	9	4
-Brand#44	PROMO PLATED COPPER	14	4
-Brand#44	PROMO PLATED COPPER	36	4
-Brand#44	PROMO PLATED COPPER	49	4
-Brand#44	PROMO PLATED NICKEL	14	4
-Brand#44	PROMO PLATED NICKEL	49	4
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-Brand#44	PROMO POLISHED BRASS	19	4
-Brand#44	PROMO POLISHED BRASS	49	4
-Brand#44	PROMO POLISHED COPPER	19	4
-Brand#44	PROMO POLISHED COPPER	49	4
-Brand#44	PROMO POLISHED NICKEL	3	4
-Brand#44	PROMO POLISHED NICKEL	23	4
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-Brand#44	SMALL ANODIZED NICKEL	14	4
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-Brand#44	SMALL ANODIZED NICKEL	45	4
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-Brand#44	SMALL BRUSHED STEEL	45	4
-Brand#44	SMALL BRUSHED STEEL	49	4
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-Brand#44	SMALL BURNISHED BRASS	19	4
-Brand#44	SMALL BURNISHED BRASS	23	4
-Brand#44	SMALL BURNISHED BRASS	45	4
-Brand#44	SMALL BURNISHED COPPER	9	4
-Brand#44	SMALL BURNISHED COPPER	19	4
-Brand#44	SMALL BURNISHED COPPER	36	4
-Brand#44	SMALL BURNISHED COPPER	45	4
-Brand#44	SMALL BURNISHED COPPER	49	4
-Brand#44	SMALL BURNISHED NICKEL	9	4
-Brand#44	SMALL BURNISHED NICKEL	19	4
-Brand#44	SMALL BURNISHED NICKEL	23	4
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-Brand#44	SMALL PLATED BRASS	45	4
-Brand#44	SMALL PLATED COPPER	9	4
-Brand#44	SMALL PLATED COPPER	19	4
-Brand#44	SMALL PLATED COPPER	23	4
-Brand#44	SMALL PLATED COPPER	36	4
-Brand#44	SMALL PLATED COPPER	49	4
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-Brand#44	SMALL POLISHED BRASS	23	4
-Brand#44	SMALL POLISHED BRASS	36	4
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-Brand#44	SMALL POLISHED STEEL	45	4
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-Brand#44	STANDARD ANODIZED BRASS	36	4
-Brand#44	STANDARD ANODIZED COPPER	14	4
-Brand#44	STANDARD ANODIZED COPPER	23	4
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-Brand#44	STANDARD BURNISHED BRASS	36	4
-Brand#44	STANDARD BURNISHED BRASS	45	4
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-Brand#44	STANDARD BURNISHED COPPER	14	4
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-Brand#51	ECONOMY ANODIZED COPPER	14	4
-Brand#51	ECONOMY ANODIZED COPPER	36	4
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-Brand#51	ECONOMY BRUSHED BRASS	36	4
-Brand#51	ECONOMY BRUSHED BRASS	45	4
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-Brand#51	ECONOMY BURNISHED BRASS	45	4
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-Brand#51	ECONOMY BURNISHED COPPER	36	4
-Brand#51	ECONOMY BURNISHED COPPER	49	4
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-Brand#51	ECONOMY POLISHED COPPER	45	4
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-Brand#51	LARGE ANODIZED BRASS	45	4
-Brand#51	LARGE ANODIZED BRASS	49	4
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-Brand#51	LARGE BURNISHED COPPER	45	4
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-Brand#51	LARGE BURNISHED NICKEL	36	4
-Brand#51	LARGE BURNISHED NICKEL	45	4
-Brand#51	LARGE BURNISHED NICKEL	49	4
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-Brand#51	LARGE PLATED BRASS	19	4
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-Brand#51	LARGE POLISHED BRASS	49	4
-Brand#51	LARGE POLISHED COPPER	9	4
-Brand#51	LARGE POLISHED COPPER	19	4
-Brand#51	LARGE POLISHED COPPER	49	4
-Brand#51	LARGE POLISHED NICKEL	3	4
-Brand#51	LARGE POLISHED NICKEL	23	4
-Brand#51	LARGE POLISHED NICKEL	36	4
-Brand#51	LARGE POLISHED NICKEL	45	4
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-Brand#51	LARGE POLISHED STEEL	23	4
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-Brand#51	MEDIUM ANODIZED BRASS	36	4
-Brand#51	MEDIUM ANODIZED COPPER	19	4
-Brand#51	MEDIUM ANODIZED COPPER	36	4
-Brand#51	MEDIUM ANODIZED STEEL	19	4
-Brand#51	MEDIUM ANODIZED STEEL	45	4
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-Brand#51	MEDIUM BRUSHED BRASS	3	4
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-Brand#51	MEDIUM BRUSHED BRASS	36	4
-Brand#51	MEDIUM BRUSHED BRASS	45	4
-Brand#51	MEDIUM BRUSHED COPPER	9	4
-Brand#51	MEDIUM BRUSHED COPPER	14	4
-Brand#51	MEDIUM BRUSHED COPPER	23	4
-Brand#51	MEDIUM BRUSHED COPPER	36	4
-Brand#51	MEDIUM BRUSHED NICKEL	3	4
-Brand#51	MEDIUM BRUSHED NICKEL	9	4
-Brand#51	MEDIUM BRUSHED NICKEL	19	4
-Brand#51	MEDIUM BRUSHED NICKEL	23	4
-Brand#51	MEDIUM BRUSHED NICKEL	36	4
-Brand#51	MEDIUM BRUSHED STEEL	3	4
-Brand#51	MEDIUM BRUSHED STEEL	9	4
-Brand#51	MEDIUM BRUSHED STEEL	19	4
-Brand#51	MEDIUM BRUSHED STEEL	45	4
-Brand#51	MEDIUM BRUSHED TIN	3	4
-Brand#51	MEDIUM BRUSHED TIN	19	4
-Brand#51	MEDIUM BRUSHED TIN	36	4
-Brand#51	MEDIUM BURNISHED BRASS	3	4
-Brand#51	MEDIUM BURNISHED BRASS	19	4
-Brand#51	MEDIUM BURNISHED BRASS	23	4
-Brand#51	MEDIUM BURNISHED COPPER	14	4
-Brand#51	MEDIUM BURNISHED COPPER	23	4
-Brand#51	MEDIUM BURNISHED COPPER	36	4
-Brand#51	MEDIUM BURNISHED COPPER	45	4
-Brand#51	MEDIUM BURNISHED COPPER	49	4
-Brand#51	MEDIUM BURNISHED NICKEL	3	4
-Brand#51	MEDIUM BURNISHED NICKEL	19	4
-Brand#51	MEDIUM BURNISHED NICKEL	45	4
-Brand#51	MEDIUM BURNISHED STEEL	19	4
-Brand#51	MEDIUM BURNISHED STEEL	36	4
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-Brand#51	MEDIUM PLATED BRASS	23	4
-Brand#51	MEDIUM PLATED BRASS	36	4
-Brand#51	MEDIUM PLATED COPPER	3	4
-Brand#51	MEDIUM PLATED COPPER	14	4
-Brand#51	MEDIUM PLATED COPPER	23	4
-Brand#51	MEDIUM PLATED COPPER	36	4
-Brand#51	MEDIUM PLATED COPPER	45	4
-Brand#51	MEDIUM PLATED COPPER	49	4
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-Brand#51	MEDIUM PLATED STEEL	14	4
-Brand#51	MEDIUM PLATED STEEL	19	4
-Brand#51	MEDIUM PLATED STEEL	23	4
-Brand#51	MEDIUM PLATED STEEL	36	4
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-Brand#51	PROMO BRUSHED COPPER	9	4
-Brand#51	PROMO BRUSHED COPPER	14	4
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-Brand#51	PROMO BURNISHED BRASS	49	4
-Brand#51	PROMO BURNISHED COPPER	14	4
-Brand#51	PROMO BURNISHED COPPER	36	4
-Brand#51	PROMO BURNISHED COPPER	45	4
-Brand#51	PROMO BURNISHED COPPER	49	4
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-Brand#51	PROMO BURNISHED NICKEL	36	4
-Brand#51	PROMO BURNISHED NICKEL	45	4
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-Brand#51	PROMO PLATED BRASS	23	4
-Brand#51	PROMO PLATED BRASS	45	4
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-Brand#51	PROMO PLATED COPPER	45	4
-Brand#51	PROMO PLATED COPPER	49	4
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-Brand#51	PROMO POLISHED BRASS	45	4
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-Brand#51	PROMO POLISHED COPPER	45	4
-Brand#51	PROMO POLISHED COPPER	49	4
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-Brand#51	PROMO POLISHED STEEL	49	4
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-Brand#51	SMALL ANODIZED COPPER	14	4
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-Brand#51	SMALL BRUSHED BRASS	36	4
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-Brand#51	SMALL BRUSHED NICKEL	19	4
-Brand#51	SMALL BRUSHED NICKEL	49	4
-Brand#51	SMALL BRUSHED STEEL	19	4
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-Brand#51	SMALL BRUSHED STEEL	45	4
-Brand#51	SMALL BRUSHED STEEL	49	4
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-Brand#51	SMALL BURNISHED BRASS	45	4
-Brand#51	SMALL BURNISHED COPPER	9	4
-Brand#51	SMALL BURNISHED COPPER	49	4
-Brand#51	SMALL BURNISHED NICKEL	9	4
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-Brand#51	SMALL BURNISHED STEEL	9	4
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-Brand#51	SMALL PLATED BRASS	14	4
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-Brand#51	SMALL POLISHED BRASS	14	4
-Brand#51	SMALL POLISHED BRASS	23	4
-Brand#51	SMALL POLISHED BRASS	49	4
-Brand#51	SMALL POLISHED COPPER	9	4
-Brand#51	SMALL POLISHED COPPER	14	4
-Brand#51	SMALL POLISHED COPPER	19	4
-Brand#51	SMALL POLISHED COPPER	49	4
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-Brand#51	SMALL POLISHED STEEL	36	4
-Brand#51	SMALL POLISHED STEEL	49	4
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-Brand#51	STANDARD POLISHED BRASS	49	4
-Brand#51	STANDARD POLISHED COPPER	14	4
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-Brand#52	ECONOMY ANODIZED COPPER	9	4
-Brand#52	ECONOMY ANODIZED COPPER	14	4
-Brand#52	ECONOMY ANODIZED COPPER	45	4
-Brand#52	ECONOMY ANODIZED COPPER	49	4
-Brand#52	ECONOMY ANODIZED NICKEL	19	4
-Brand#52	ECONOMY ANODIZED NICKEL	36	4
-Brand#52	ECONOMY ANODIZED NICKEL	49	4
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-Brand#52	ECONOMY BURNISHED BRASS	36	4
-Brand#52	ECONOMY BURNISHED BRASS	45	4
-Brand#52	ECONOMY BURNISHED BRASS	49	4
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-Brand#52	ECONOMY BURNISHED COPPER	49	4
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-Brand#52	ECONOMY POLISHED NICKEL	9	4
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-Brand#52	LARGE ANODIZED BRASS	49	4
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-Brand#52	LARGE ANODIZED COPPER	23	4
-Brand#52	LARGE ANODIZED COPPER	36	4
-Brand#52	LARGE ANODIZED NICKEL	9	4
-Brand#52	LARGE ANODIZED NICKEL	14	4
-Brand#52	LARGE ANODIZED NICKEL	19	4
-Brand#52	LARGE ANODIZED NICKEL	49	4
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-Brand#52	LARGE BRUSHED NICKEL	19	4
-Brand#52	LARGE BRUSHED NICKEL	23	4
-Brand#52	LARGE BRUSHED NICKEL	45	4
-Brand#52	LARGE BRUSHED NICKEL	49	4
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-Brand#52	LARGE BRUSHED STEEL	45	4
-Brand#52	LARGE BRUSHED STEEL	49	4
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-Brand#52	LARGE BRUSHED TIN	14	4
-Brand#52	LARGE BRUSHED TIN	36	4
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-Brand#52	LARGE BURNISHED BRASS	23	4
-Brand#52	LARGE BURNISHED BRASS	45	4
-Brand#52	LARGE BURNISHED COPPER	36	4
-Brand#52	LARGE BURNISHED COPPER	49	4
-Brand#52	LARGE BURNISHED NICKEL	14	4
-Brand#52	LARGE BURNISHED NICKEL	19	4
-Brand#52	LARGE BURNISHED NICKEL	36	4
-Brand#52	LARGE BURNISHED NICKEL	45	4
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-Brand#52	LARGE PLATED COPPER	49	4
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-Brand#52	LARGE PLATED NICKEL	36	4
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-Brand#52	LARGE POLISHED COPPER	23	4
-Brand#52	LARGE POLISHED COPPER	45	4
-Brand#52	LARGE POLISHED NICKEL	3	4
-Brand#52	LARGE POLISHED NICKEL	14	4
-Brand#52	LARGE POLISHED NICKEL	19	4
-Brand#52	LARGE POLISHED NICKEL	36	4
-Brand#52	LARGE POLISHED NICKEL	45	4
-Brand#52	LARGE POLISHED STEEL	3	4
-Brand#52	LARGE POLISHED STEEL	9	4
-Brand#52	LARGE POLISHED TIN	3	4
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-Brand#52	MEDIUM ANODIZED BRASS	23	4
-Brand#52	MEDIUM ANODIZED BRASS	45	4
-Brand#52	MEDIUM ANODIZED BRASS	49	4
-Brand#52	MEDIUM ANODIZED COPPER	9	4
-Brand#52	MEDIUM ANODIZED NICKEL	3	4
-Brand#52	MEDIUM ANODIZED NICKEL	19	4
-Brand#52	MEDIUM ANODIZED NICKEL	36	4
-Brand#52	MEDIUM ANODIZED STEEL	3	4
-Brand#52	MEDIUM ANODIZED STEEL	14	4
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-Brand#52	MEDIUM ANODIZED TIN	36	4
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-Brand#52	MEDIUM BRUSHED COPPER	19	4
-Brand#52	MEDIUM BRUSHED COPPER	23	4
-Brand#52	MEDIUM BRUSHED COPPER	45	4
-Brand#52	MEDIUM BRUSHED NICKEL	3	4
-Brand#52	MEDIUM BRUSHED NICKEL	9	4
-Brand#52	MEDIUM BRUSHED STEEL	3	4
-Brand#52	MEDIUM BRUSHED STEEL	9	4
-Brand#52	MEDIUM BRUSHED STEEL	19	4
-Brand#52	MEDIUM BRUSHED TIN	3	4
-Brand#52	MEDIUM BRUSHED TIN	45	4
-Brand#52	MEDIUM BURNISHED BRASS	19	4
-Brand#52	MEDIUM BURNISHED BRASS	23	4
-Brand#52	MEDIUM BURNISHED BRASS	36	4
-Brand#52	MEDIUM BURNISHED COPPER	9	4
-Brand#52	MEDIUM BURNISHED COPPER	19	4
-Brand#52	MEDIUM BURNISHED COPPER	45	4
-Brand#52	MEDIUM BURNISHED COPPER	49	4
-Brand#52	MEDIUM BURNISHED NICKEL	3	4
-Brand#52	MEDIUM BURNISHED NICKEL	9	4
-Brand#52	MEDIUM BURNISHED STEEL	9	4
-Brand#52	MEDIUM BURNISHED STEEL	14	4
-Brand#52	MEDIUM BURNISHED STEEL	23	4
-Brand#52	MEDIUM BURNISHED STEEL	36	4
-Brand#52	MEDIUM BURNISHED STEEL	45	4
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-Brand#52	MEDIUM PLATED BRASS	3	4
-Brand#52	MEDIUM PLATED BRASS	9	4
-Brand#52	MEDIUM PLATED BRASS	19	4
-Brand#52	MEDIUM PLATED BRASS	36	4
-Brand#52	MEDIUM PLATED BRASS	45	4
-Brand#52	MEDIUM PLATED COPPER	3	4
-Brand#52	MEDIUM PLATED COPPER	45	4
-Brand#52	MEDIUM PLATED COPPER	49	4
-Brand#52	MEDIUM PLATED NICKEL	9	4
-Brand#52	MEDIUM PLATED NICKEL	14	4
-Brand#52	MEDIUM PLATED NICKEL	45	4
-Brand#52	MEDIUM PLATED STEEL	3	4
-Brand#52	MEDIUM PLATED STEEL	9	4
-Brand#52	MEDIUM PLATED STEEL	14	4
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-Brand#52	MEDIUM PLATED STEEL	23	4
-Brand#52	MEDIUM PLATED STEEL	45	4
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-Brand#52	PROMO ANODIZED COPPER	45	4
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-Brand#52	PROMO BRUSHED COPPER	19	4
-Brand#52	PROMO BRUSHED COPPER	23	4
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-Brand#52	PROMO BRUSHED NICKEL	14	4
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-Brand#52	PROMO BRUSHED STEEL	45	4
-Brand#52	PROMO BRUSHED STEEL	49	4
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-Brand#52	PROMO BURNISHED BRASS	49	4
-Brand#52	PROMO BURNISHED COPPER	9	4
-Brand#52	PROMO BURNISHED COPPER	36	4
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-Brand#52	PROMO BURNISHED STEEL	14	4
-Brand#52	PROMO BURNISHED STEEL	23	4
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-Brand#52	PROMO BURNISHED STEEL	49	4
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-Brand#52	PROMO PLATED BRASS	23	4
-Brand#52	PROMO PLATED BRASS	36	4
-Brand#52	PROMO PLATED COPPER	19	4
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-Brand#52	PROMO PLATED NICKEL	3	4
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-Brand#52	PROMO PLATED STEEL	45	4
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-Brand#52	PROMO POLISHED STEEL	9	4
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-Brand#52	SMALL BRUSHED COPPER	36	4
-Brand#52	SMALL BRUSHED COPPER	45	4
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-Brand#52	SMALL BRUSHED STEEL	23	4
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-Brand#52	SMALL BURNISHED BRASS	23	4
-Brand#52	SMALL BURNISHED BRASS	36	4
-Brand#52	SMALL BURNISHED BRASS	49	4
-Brand#52	SMALL BURNISHED COPPER	3	4
-Brand#52	SMALL BURNISHED COPPER	36	4
-Brand#52	SMALL BURNISHED COPPER	49	4
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-Brand#52	SMALL BURNISHED STEEL	45	4
-Brand#52	SMALL BURNISHED STEEL	49	4
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-Brand#52	SMALL BURNISHED TIN	45	4
-Brand#52	SMALL BURNISHED TIN	49	4
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-Brand#52	SMALL PLATED COPPER	45	4
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-Brand#52	SMALL POLISHED BRASS	36	4
-Brand#52	SMALL POLISHED BRASS	45	4
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-Brand#52	STANDARD ANODIZED COPPER	23	4
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-Brand#52	STANDARD ANODIZED NICKEL	36	4
-Brand#52	STANDARD ANODIZED NICKEL	45	4
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-Brand#52	STANDARD ANODIZED STEEL	36	4
-Brand#52	STANDARD ANODIZED STEEL	45	4
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-Brand#52	STANDARD BRUSHED BRASS	45	4
-Brand#52	STANDARD BRUSHED BRASS	49	4
-Brand#52	STANDARD BRUSHED COPPER	23	4
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-Brand#52	STANDARD BURNISHED COPPER	36	4
-Brand#52	STANDARD BURNISHED COPPER	45	4
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-Brand#52	STANDARD POLISHED COPPER	23	4
-Brand#52	STANDARD POLISHED COPPER	45	4
-Brand#52	STANDARD POLISHED COPPER	49	4
-Brand#52	STANDARD POLISHED NICKEL	9	4
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-Brand#53	ECONOMY ANODIZED BRASS	3	4
-Brand#53	ECONOMY ANODIZED BRASS	14	4
-Brand#53	ECONOMY ANODIZED BRASS	23	4
-Brand#53	ECONOMY ANODIZED COPPER	3	4
-Brand#53	ECONOMY ANODIZED COPPER	9	4
-Brand#53	ECONOMY ANODIZED COPPER	14	4
-Brand#53	ECONOMY ANODIZED COPPER	49	4
-Brand#53	ECONOMY ANODIZED NICKEL	3	4
-Brand#53	ECONOMY ANODIZED NICKEL	23	4
-Brand#53	ECONOMY ANODIZED NICKEL	45	4
-Brand#53	ECONOMY ANODIZED NICKEL	49	4
-Brand#53	ECONOMY ANODIZED STEEL	3	4
-Brand#53	ECONOMY ANODIZED STEEL	19	4
-Brand#53	ECONOMY ANODIZED STEEL	36	4
-Brand#53	ECONOMY ANODIZED STEEL	49	4
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-Brand#53	ECONOMY BRUSHED BRASS	14	4
-Brand#53	ECONOMY BRUSHED COPPER	9	4
-Brand#53	ECONOMY BRUSHED COPPER	14	4
-Brand#53	ECONOMY BRUSHED COPPER	19	4
-Brand#53	ECONOMY BRUSHED COPPER	23	4
-Brand#53	ECONOMY BRUSHED COPPER	36	4
-Brand#53	ECONOMY BRUSHED NICKEL	3	4
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-Brand#53	ECONOMY BRUSHED TIN	45	4
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-Brand#53	ECONOMY BURNISHED BRASS	36	4
-Brand#53	ECONOMY BURNISHED COPPER	3	4
-Brand#53	ECONOMY BURNISHED COPPER	36	4
-Brand#53	ECONOMY BURNISHED COPPER	49	4
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-Brand#53	ECONOMY BURNISHED STEEL	49	4
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-Brand#53	ECONOMY POLISHED BRASS	45	4
-Brand#53	ECONOMY POLISHED BRASS	49	4
-Brand#53	ECONOMY POLISHED COPPER	9	4
-Brand#53	ECONOMY POLISHED COPPER	36	4
-Brand#53	ECONOMY POLISHED COPPER	45	4
-Brand#53	ECONOMY POLISHED COPPER	49	4
-Brand#53	ECONOMY POLISHED NICKEL	14	4
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-Brand#53	ECONOMY POLISHED NICKEL	45	4
-Brand#53	ECONOMY POLISHED NICKEL	49	4
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-Brand#53	LARGE ANODIZED BRASS	49	4
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-Brand#53	LARGE ANODIZED NICKEL	3	4
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-Brand#53	LARGE ANODIZED NICKEL	36	4
-Brand#53	LARGE ANODIZED NICKEL	45	4
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-Brand#53	LARGE ANODIZED STEEL	36	4
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-Brand#53	LARGE BRUSHED COPPER	23	4
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-Brand#53	LARGE BRUSHED NICKEL	14	4
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-Brand#53	LARGE BRUSHED NICKEL	36	4
-Brand#53	LARGE BRUSHED NICKEL	49	4
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-Brand#53	LARGE BRUSHED STEEL	49	4
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-Brand#53	LARGE BURNISHED BRASS	36	4
-Brand#53	LARGE BURNISHED BRASS	45	4
-Brand#53	LARGE BURNISHED COPPER	19	4
-Brand#53	LARGE BURNISHED COPPER	45	4
-Brand#53	LARGE BURNISHED COPPER	49	4
-Brand#53	LARGE BURNISHED NICKEL	36	4
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-Brand#53	LARGE BURNISHED STEEL	49	4
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-Brand#53	LARGE BURNISHED TIN	49	4
-Brand#53	LARGE PLATED BRASS	14	4
-Brand#53	LARGE PLATED BRASS	19	4
-Brand#53	LARGE PLATED BRASS	45	4
-Brand#53	LARGE PLATED COPPER	14	4
-Brand#53	LARGE PLATED COPPER	23	4
-Brand#53	LARGE PLATED COPPER	45	4
-Brand#53	LARGE PLATED NICKEL	19	4
-Brand#53	LARGE PLATED NICKEL	23	4
-Brand#53	LARGE PLATED NICKEL	36	4
-Brand#53	LARGE PLATED STEEL	19	4
-Brand#53	LARGE PLATED STEEL	49	4
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-Brand#53	LARGE POLISHED BRASS	19	4
-Brand#53	LARGE POLISHED COPPER	14	4
-Brand#53	LARGE POLISHED COPPER	19	4
-Brand#53	LARGE POLISHED COPPER	36	4
-Brand#53	LARGE POLISHED NICKEL	45	4
-Brand#53	LARGE POLISHED STEEL	9	4
-Brand#53	LARGE POLISHED TIN	14	4
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-Brand#53	LARGE POLISHED TIN	36	4
-Brand#53	LARGE POLISHED TIN	45	4
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-Brand#53	MEDIUM ANODIZED BRASS	19	4
-Brand#53	MEDIUM ANODIZED BRASS	23	4
-Brand#53	MEDIUM ANODIZED BRASS	45	4
-Brand#53	MEDIUM ANODIZED COPPER	36	4
-Brand#53	MEDIUM ANODIZED COPPER	49	4
-Brand#53	MEDIUM ANODIZED NICKEL	3	4
-Brand#53	MEDIUM ANODIZED NICKEL	9	4
-Brand#53	MEDIUM ANODIZED STEEL	3	4
-Brand#53	MEDIUM ANODIZED STEEL	19	4
-Brand#53	MEDIUM ANODIZED STEEL	45	4
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-Brand#53	MEDIUM BRUSHED BRASS	36	4
-Brand#53	MEDIUM BRUSHED BRASS	45	4
-Brand#53	MEDIUM BRUSHED COPPER	3	4
-Brand#53	MEDIUM BRUSHED COPPER	14	4
-Brand#53	MEDIUM BRUSHED COPPER	19	4
-Brand#53	MEDIUM BRUSHED COPPER	23	4
-Brand#53	MEDIUM BRUSHED NICKEL	36	4
-Brand#53	MEDIUM BRUSHED STEEL	9	4
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-Brand#53	MEDIUM BRUSHED TIN	49	4
-Brand#53	MEDIUM BURNISHED BRASS	9	4
-Brand#53	MEDIUM BURNISHED BRASS	19	4
-Brand#53	MEDIUM BURNISHED BRASS	23	4
-Brand#53	MEDIUM BURNISHED BRASS	36	4
-Brand#53	MEDIUM BURNISHED BRASS	45	4
-Brand#53	MEDIUM BURNISHED COPPER	23	4
-Brand#53	MEDIUM BURNISHED COPPER	36	4
-Brand#53	MEDIUM BURNISHED STEEL	3	4
-Brand#53	MEDIUM BURNISHED STEEL	45	4
-Brand#53	MEDIUM BURNISHED TIN	3	4
-Brand#53	MEDIUM BURNISHED TIN	19	4
-Brand#53	MEDIUM BURNISHED TIN	23	4
-Brand#53	MEDIUM BURNISHED TIN	36	4
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-Brand#53	MEDIUM PLATED BRASS	3	4
-Brand#53	MEDIUM PLATED BRASS	23	4
-Brand#53	MEDIUM PLATED COPPER	36	4
-Brand#53	MEDIUM PLATED COPPER	45	4
-Brand#53	MEDIUM PLATED COPPER	49	4
-Brand#53	MEDIUM PLATED NICKEL	9	4
-Brand#53	MEDIUM PLATED NICKEL	14	4
-Brand#53	MEDIUM PLATED NICKEL	19	4
-Brand#53	MEDIUM PLATED NICKEL	49	4
-Brand#53	MEDIUM PLATED STEEL	3	4
-Brand#53	MEDIUM PLATED STEEL	9	4
-Brand#53	MEDIUM PLATED STEEL	36	4
-Brand#53	MEDIUM PLATED STEEL	49	4
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-Brand#53	PROMO ANODIZED COPPER	19	4
-Brand#53	PROMO ANODIZED COPPER	45	4
-Brand#53	PROMO ANODIZED NICKEL	9	4
-Brand#53	PROMO ANODIZED NICKEL	14	4
-Brand#53	PROMO ANODIZED NICKEL	19	4
-Brand#53	PROMO ANODIZED NICKEL	23	4
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-Brand#53	PROMO BRUSHED BRASS	14	4
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-Brand#53	PROMO BRUSHED BRASS	23	4
-Brand#53	PROMO BRUSHED COPPER	19	4
-Brand#53	PROMO BRUSHED COPPER	45	4
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-Brand#53	PROMO BRUSHED STEEL	36	4
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-Brand#53	PROMO BURNISHED BRASS	9	4
-Brand#53	PROMO BURNISHED BRASS	45	4
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-Brand#53	PROMO BURNISHED COPPER	19	4
-Brand#53	PROMO BURNISHED COPPER	23	4
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-Brand#53	PROMO BURNISHED NICKEL	23	4
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-Brand#53	PROMO PLATED BRASS	9	4
-Brand#53	PROMO PLATED BRASS	14	4
-Brand#53	PROMO PLATED COPPER	19	4
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-Brand#53	PROMO PLATED NICKEL	9	4
-Brand#53	PROMO PLATED NICKEL	14	4
-Brand#53	PROMO PLATED NICKEL	19	4
-Brand#53	PROMO PLATED NICKEL	23	4
-Brand#53	PROMO PLATED NICKEL	45	4
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-Brand#53	PROMO PLATED STEEL	14	4
-Brand#53	PROMO PLATED STEEL	23	4
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-Brand#53	PROMO PLATED STEEL	45	4
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-Brand#53	PROMO POLISHED BRASS	49	4
-Brand#53	PROMO POLISHED COPPER	9	4
-Brand#53	PROMO POLISHED COPPER	14	4
-Brand#53	PROMO POLISHED COPPER	36	4
-Brand#53	PROMO POLISHED COPPER	45	4
-Brand#53	PROMO POLISHED NICKEL	14	4
-Brand#53	PROMO POLISHED NICKEL	36	4
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-Brand#53	PROMO POLISHED STEEL	19	4
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-Brand#53	SMALL ANODIZED BRASS	36	4
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-Brand#53	SMALL ANODIZED COPPER	45	4
-Brand#53	SMALL ANODIZED COPPER	49	4
-Brand#53	SMALL ANODIZED NICKEL	14	4
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-Brand#53	SMALL ANODIZED STEEL	36	4
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-Brand#53	SMALL BRUSHED BRASS	45	4
-Brand#53	SMALL BRUSHED BRASS	49	4
-Brand#53	SMALL BRUSHED COPPER	9	4
-Brand#53	SMALL BRUSHED COPPER	19	4
-Brand#53	SMALL BRUSHED COPPER	23	4
-Brand#53	SMALL BRUSHED COPPER	45	4
-Brand#53	SMALL BRUSHED NICKEL	9	4
-Brand#53	SMALL BRUSHED NICKEL	14	4
-Brand#53	SMALL BRUSHED NICKEL	19	4
-Brand#53	SMALL BRUSHED NICKEL	23	4
-Brand#53	SMALL BRUSHED NICKEL	36	4
-Brand#53	SMALL BRUSHED STEEL	14	4
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-Brand#53	SMALL BRUSHED TIN	36	4
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-Brand#53	SMALL BURNISHED NICKEL	3	4
-Brand#53	SMALL BURNISHED NICKEL	19	4
-Brand#53	SMALL BURNISHED STEEL	3	4
-Brand#53	SMALL BURNISHED STEEL	14	4
-Brand#53	SMALL BURNISHED STEEL	23	4
-Brand#53	SMALL BURNISHED STEEL	45	4
-Brand#53	SMALL BURNISHED TIN	9	4
-Brand#53	SMALL BURNISHED TIN	19	4
-Brand#53	SMALL BURNISHED TIN	36	4
-Brand#53	SMALL BURNISHED TIN	45	4
-Brand#53	SMALL BURNISHED TIN	49	4
-Brand#53	SMALL PLATED BRASS	14	4
-Brand#53	SMALL PLATED BRASS	19	4
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-Brand#53	SMALL PLATED NICKEL	49	4
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-Brand#53	SMALL PLATED STEEL	45	4
-Brand#53	SMALL PLATED STEEL	49	4
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-Brand#53	SMALL PLATED TIN	49	4
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-Brand#53	SMALL POLISHED COPPER	14	4
-Brand#53	SMALL POLISHED COPPER	36	4
-Brand#53	SMALL POLISHED COPPER	45	4
-Brand#53	SMALL POLISHED COPPER	49	4
-Brand#53	SMALL POLISHED NICKEL	9	4
-Brand#53	SMALL POLISHED STEEL	9	4
-Brand#53	SMALL POLISHED STEEL	19	4
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-Brand#53	STANDARD ANODIZED BRASS	9	4
-Brand#53	STANDARD ANODIZED BRASS	49	4
-Brand#53	STANDARD ANODIZED COPPER	3	4
-Brand#53	STANDARD ANODIZED COPPER	23	4
-Brand#53	STANDARD ANODIZED COPPER	45	4
-Brand#53	STANDARD ANODIZED COPPER	49	4
-Brand#53	STANDARD ANODIZED NICKEL	23	4
-Brand#53	STANDARD ANODIZED NICKEL	45	4
-Brand#53	STANDARD ANODIZED NICKEL	49	4
-Brand#53	STANDARD ANODIZED STEEL	3	4
-Brand#53	STANDARD ANODIZED STEEL	14	4
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-Brand#53	STANDARD BRUSHED BRASS	45	4
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-Brand#53	STANDARD BRUSHED COPPER	19	4
-Brand#53	STANDARD BRUSHED COPPER	23	4
-Brand#53	STANDARD BRUSHED COPPER	36	4
-Brand#53	STANDARD BRUSHED COPPER	45	4
-Brand#53	STANDARD BRUSHED NICKEL	19	4
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-Brand#53	STANDARD BURNISHED BRASS	23	4
-Brand#53	STANDARD BURNISHED BRASS	45	4
-Brand#53	STANDARD BURNISHED COPPER	9	4
-Brand#53	STANDARD BURNISHED COPPER	14	4
-Brand#53	STANDARD BURNISHED COPPER	49	4
-Brand#53	STANDARD BURNISHED NICKEL	3	4
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-Brand#53	STANDARD BURNISHED NICKEL	14	4
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-Brand#53	STANDARD PLATED BRASS	45	4
-Brand#53	STANDARD PLATED BRASS	49	4
-Brand#53	STANDARD PLATED COPPER	9	4
-Brand#53	STANDARD PLATED COPPER	14	4
-Brand#53	STANDARD PLATED COPPER	19	4
-Brand#53	STANDARD PLATED COPPER	23	4
-Brand#53	STANDARD PLATED COPPER	49	4
-Brand#53	STANDARD PLATED NICKEL	3	4
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-Brand#53	STANDARD POLISHED BRASS	23	4
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-Brand#53	STANDARD POLISHED COPPER	23	4
-Brand#53	STANDARD POLISHED NICKEL	19	4
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-Brand#54	ECONOMY ANODIZED BRASS	45	4
-Brand#54	ECONOMY ANODIZED BRASS	49	4
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-Brand#54	ECONOMY ANODIZED COPPER	9	4
-Brand#54	ECONOMY ANODIZED COPPER	23	4
-Brand#54	ECONOMY ANODIZED COPPER	36	4
-Brand#54	ECONOMY ANODIZED COPPER	45	4
-Brand#54	ECONOMY ANODIZED COPPER	49	4
-Brand#54	ECONOMY ANODIZED NICKEL	3	4
-Brand#54	ECONOMY ANODIZED NICKEL	14	4
-Brand#54	ECONOMY ANODIZED NICKEL	19	4
-Brand#54	ECONOMY ANODIZED NICKEL	45	4
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-Brand#54	ECONOMY ANODIZED STEEL	14	4
-Brand#54	ECONOMY ANODIZED STEEL	36	4
-Brand#54	ECONOMY ANODIZED STEEL	45	4
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-Brand#54	ECONOMY ANODIZED TIN	23	4
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-Brand#54	ECONOMY BRUSHED COPPER	49	4
-Brand#54	ECONOMY BRUSHED NICKEL	3	4
-Brand#54	ECONOMY BRUSHED NICKEL	19	4
-Brand#54	ECONOMY BRUSHED NICKEL	45	4
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-Brand#54	ECONOMY BRUSHED TIN	49	4
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-Brand#54	ECONOMY BURNISHED BRASS	49	4
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-Brand#54	ECONOMY BURNISHED NICKEL	45	4
-Brand#54	ECONOMY BURNISHED NICKEL	49	4
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-Brand#54	ECONOMY PLATED BRASS	36	4
-Brand#54	ECONOMY PLATED BRASS	45	4
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-Brand#54	LARGE ANODIZED BRASS	36	4
-Brand#54	LARGE ANODIZED BRASS	49	4
-Brand#54	LARGE ANODIZED COPPER	19	4
-Brand#54	LARGE ANODIZED COPPER	23	4
-Brand#54	LARGE ANODIZED COPPER	36	4
-Brand#54	LARGE ANODIZED NICKEL	3	4
-Brand#54	LARGE ANODIZED NICKEL	14	4
-Brand#54	LARGE ANODIZED NICKEL	19	4
-Brand#54	LARGE ANODIZED NICKEL	36	4
-Brand#54	LARGE ANODIZED NICKEL	45	4
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-Brand#54	LARGE ANODIZED STEEL	19	4
-Brand#54	LARGE ANODIZED STEEL	36	4
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-Brand#54	LARGE BRUSHED COPPER	49	4
-Brand#54	LARGE BRUSHED NICKEL	14	4
-Brand#54	LARGE BRUSHED NICKEL	19	4
-Brand#54	LARGE BRUSHED NICKEL	45	4
-Brand#54	LARGE BRUSHED NICKEL	49	4
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-Brand#54	LARGE BRUSHED STEEL	19	4
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-Brand#54	LARGE BRUSHED STEEL	45	4
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-Brand#54	LARGE BRUSHED TIN	45	4
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-Brand#54	LARGE BURNISHED BRASS	19	4
-Brand#54	LARGE BURNISHED BRASS	36	4
-Brand#54	LARGE BURNISHED NICKEL	3	4
-Brand#54	LARGE BURNISHED NICKEL	19	4
-Brand#54	LARGE BURNISHED NICKEL	45	4
-Brand#54	LARGE BURNISHED STEEL	9	4
-Brand#54	LARGE BURNISHED STEEL	36	4
-Brand#54	LARGE BURNISHED STEEL	45	4
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-Brand#54	LARGE PLATED COPPER	36	4
-Brand#54	LARGE PLATED NICKEL	9	4
-Brand#54	LARGE PLATED NICKEL	14	4
-Brand#54	LARGE PLATED NICKEL	19	4
-Brand#54	LARGE PLATED NICKEL	45	4
-Brand#54	LARGE PLATED NICKEL	49	4
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-Brand#54	LARGE PLATED TIN	49	4
-Brand#54	LARGE POLISHED BRASS	3	4
-Brand#54	LARGE POLISHED BRASS	14	4
-Brand#54	LARGE POLISHED BRASS	19	4
-Brand#54	LARGE POLISHED BRASS	36	4
-Brand#54	LARGE POLISHED COPPER	14	4
-Brand#54	LARGE POLISHED COPPER	23	4
-Brand#54	LARGE POLISHED COPPER	36	4
-Brand#54	LARGE POLISHED COPPER	49	4
-Brand#54	LARGE POLISHED NICKEL	45	4
-Brand#54	LARGE POLISHED NICKEL	49	4
-Brand#54	LARGE POLISHED STEEL	9	4
-Brand#54	LARGE POLISHED STEEL	23	4
-Brand#54	LARGE POLISHED STEEL	36	4
-Brand#54	LARGE POLISHED TIN	3	4
-Brand#54	LARGE POLISHED TIN	9	4
-Brand#54	LARGE POLISHED TIN	23	4
-Brand#54	MEDIUM ANODIZED BRASS	19	4
-Brand#54	MEDIUM ANODIZED BRASS	23	4
-Brand#54	MEDIUM ANODIZED BRASS	45	4
-Brand#54	MEDIUM ANODIZED COPPER	3	4
-Brand#54	MEDIUM ANODIZED COPPER	14	4
-Brand#54	MEDIUM ANODIZED COPPER	36	4
-Brand#54	MEDIUM ANODIZED COPPER	45	4
-Brand#54	MEDIUM ANODIZED NICKEL	9	4
-Brand#54	MEDIUM ANODIZED STEEL	14	4
-Brand#54	MEDIUM ANODIZED STEEL	45	4
-Brand#54	MEDIUM ANODIZED TIN	14	4
-Brand#54	MEDIUM ANODIZED TIN	49	4
-Brand#54	MEDIUM BRUSHED BRASS	36	4
-Brand#54	MEDIUM BRUSHED COPPER	9	4
-Brand#54	MEDIUM BRUSHED COPPER	45	4
-Brand#54	MEDIUM BRUSHED COPPER	49	4
-Brand#54	MEDIUM BRUSHED NICKEL	3	4
-Brand#54	MEDIUM BRUSHED NICKEL	19	4
-Brand#54	MEDIUM BRUSHED NICKEL	45	4
-Brand#54	MEDIUM BRUSHED NICKEL	49	4
-Brand#54	MEDIUM BRUSHED STEEL	3	4
-Brand#54	MEDIUM BRUSHED STEEL	14	4
-Brand#54	MEDIUM BRUSHED STEEL	19	4
-Brand#54	MEDIUM BRUSHED STEEL	23	4
-Brand#54	MEDIUM BRUSHED TIN	3	4
-Brand#54	MEDIUM BRUSHED TIN	19	4
-Brand#54	MEDIUM BRUSHED TIN	45	4
-Brand#54	MEDIUM BURNISHED BRASS	3	4
-Brand#54	MEDIUM BURNISHED BRASS	9	4
-Brand#54	MEDIUM BURNISHED BRASS	14	4
-Brand#54	MEDIUM BURNISHED BRASS	19	4
-Brand#54	MEDIUM BURNISHED BRASS	45	4
-Brand#54	MEDIUM BURNISHED COPPER	9	4
-Brand#54	MEDIUM BURNISHED COPPER	49	4
-Brand#54	MEDIUM BURNISHED NICKEL	3	4
-Brand#54	MEDIUM BURNISHED NICKEL	14	4
-Brand#54	MEDIUM BURNISHED NICKEL	23	4
-Brand#54	MEDIUM BURNISHED NICKEL	36	4
-Brand#54	MEDIUM BURNISHED STEEL	9	4
-Brand#54	MEDIUM BURNISHED STEEL	23	4
-Brand#54	MEDIUM BURNISHED STEEL	36	4
-Brand#54	MEDIUM BURNISHED TIN	14	4
-Brand#54	MEDIUM BURNISHED TIN	49	4
-Brand#54	MEDIUM PLATED BRASS	9	4
-Brand#54	MEDIUM PLATED BRASS	14	4
-Brand#54	MEDIUM PLATED BRASS	19	4
-Brand#54	MEDIUM PLATED BRASS	45	4
-Brand#54	MEDIUM PLATED COPPER	3	4
-Brand#54	MEDIUM PLATED COPPER	19	4
-Brand#54	MEDIUM PLATED NICKEL	3	4
-Brand#54	MEDIUM PLATED NICKEL	36	4
-Brand#54	MEDIUM PLATED STEEL	3	4
-Brand#54	MEDIUM PLATED STEEL	9	4
-Brand#54	MEDIUM PLATED STEEL	19	4
-Brand#54	MEDIUM PLATED STEEL	23	4
-Brand#54	MEDIUM PLATED STEEL	36	4
-Brand#54	MEDIUM PLATED STEEL	45	4
-Brand#54	MEDIUM PLATED STEEL	49	4
-Brand#54	MEDIUM PLATED TIN	3	4
-Brand#54	MEDIUM PLATED TIN	9	4
-Brand#54	MEDIUM PLATED TIN	14	4
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-Brand#54	PROMO ANODIZED COPPER	19	4
-Brand#54	PROMO ANODIZED NICKEL	3	4
-Brand#54	PROMO ANODIZED NICKEL	9	4
-Brand#54	PROMO ANODIZED NICKEL	19	4
-Brand#54	PROMO ANODIZED NICKEL	45	4
-Brand#54	PROMO ANODIZED NICKEL	49	4
-Brand#54	PROMO ANODIZED STEEL	45	4
-Brand#54	PROMO ANODIZED STEEL	49	4
-Brand#54	PROMO ANODIZED TIN	3	4
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-Brand#54	PROMO ANODIZED TIN	36	4
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-Brand#54	PROMO BRUSHED BRASS	36	4
-Brand#54	PROMO BRUSHED BRASS	45	4
-Brand#54	PROMO BRUSHED COPPER	9	4
-Brand#54	PROMO BRUSHED COPPER	19	4
-Brand#54	PROMO BRUSHED COPPER	36	4
-Brand#54	PROMO BRUSHED NICKEL	14	4
-Brand#54	PROMO BRUSHED NICKEL	36	4
-Brand#54	PROMO BRUSHED NICKEL	45	4
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-Brand#54	PROMO BURNISHED BRASS	45	4
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-Brand#54	PROMO BURNISHED COPPER	19	4
-Brand#54	PROMO BURNISHED COPPER	23	4
-Brand#54	PROMO BURNISHED COPPER	36	4
-Brand#54	PROMO BURNISHED COPPER	45	4
-Brand#54	PROMO BURNISHED NICKEL	3	4
-Brand#54	PROMO BURNISHED NICKEL	14	4
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-Brand#54	PROMO PLATED BRASS	9	4
-Brand#54	PROMO PLATED BRASS	14	4
-Brand#54	PROMO PLATED BRASS	36	4
-Brand#54	PROMO PLATED COPPER	3	4
-Brand#54	PROMO PLATED COPPER	14	4
-Brand#54	PROMO PLATED COPPER	19	4
-Brand#54	PROMO PLATED NICKEL	23	4
-Brand#54	PROMO PLATED NICKEL	36	4
-Brand#54	PROMO PLATED NICKEL	45	4
-Brand#54	PROMO PLATED STEEL	3	4
-Brand#54	PROMO PLATED STEEL	14	4
-Brand#54	PROMO PLATED STEEL	19	4
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-Brand#54	PROMO POLISHED BRASS	19	4
-Brand#54	PROMO POLISHED BRASS	23	4
-Brand#54	PROMO POLISHED BRASS	45	4
-Brand#54	PROMO POLISHED BRASS	49	4
-Brand#54	PROMO POLISHED COPPER	9	4
-Brand#54	PROMO POLISHED COPPER	49	4
-Brand#54	PROMO POLISHED NICKEL	3	4
-Brand#54	PROMO POLISHED NICKEL	9	4
-Brand#54	PROMO POLISHED NICKEL	45	4
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-Brand#54	SMALL ANODIZED BRASS	49	4
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-Brand#54	SMALL ANODIZED COPPER	36	4
-Brand#54	SMALL ANODIZED NICKEL	3	4
-Brand#54	SMALL ANODIZED NICKEL	9	4
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-Brand#54	SMALL ANODIZED TIN	45	4
-Brand#54	SMALL ANODIZED TIN	49	4
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-Brand#54	SMALL BRUSHED COPPER	14	4
-Brand#54	SMALL BRUSHED COPPER	36	4
-Brand#54	SMALL BRUSHED COPPER	49	4
-Brand#54	SMALL BRUSHED NICKEL	3	4
-Brand#54	SMALL BRUSHED NICKEL	9	4
-Brand#54	SMALL BRUSHED NICKEL	19	4
-Brand#54	SMALL BRUSHED NICKEL	23	4
-Brand#54	SMALL BRUSHED NICKEL	49	4
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-Brand#54	SMALL BRUSHED STEEL	9	4
-Brand#54	SMALL BRUSHED STEEL	45	4
-Brand#54	SMALL BRUSHED STEEL	49	4
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-Brand#54	SMALL BURNISHED BRASS	36	4
-Brand#54	SMALL BURNISHED BRASS	49	4
-Brand#54	SMALL BURNISHED COPPER	9	4
-Brand#54	SMALL BURNISHED COPPER	36	4
-Brand#54	SMALL BURNISHED NICKEL	9	4
-Brand#54	SMALL BURNISHED NICKEL	19	4
-Brand#54	SMALL BURNISHED NICKEL	23	4
-Brand#54	SMALL BURNISHED NICKEL	45	4
-Brand#54	SMALL BURNISHED STEEL	14	4
-Brand#54	SMALL BURNISHED STEEL	23	4
-Brand#54	SMALL BURNISHED STEEL	36	4
-Brand#54	SMALL BURNISHED STEEL	49	4
-Brand#54	SMALL BURNISHED TIN	3	4
-Brand#54	SMALL BURNISHED TIN	14	4
-Brand#54	SMALL BURNISHED TIN	36	4
-Brand#54	SMALL BURNISHED TIN	45	4
-Brand#54	SMALL PLATED BRASS	36	4
-Brand#54	SMALL PLATED BRASS	45	4
-Brand#54	SMALL PLATED BRASS	49	4
-Brand#54	SMALL PLATED COPPER	9	4
-Brand#54	SMALL PLATED COPPER	49	4
-Brand#54	SMALL PLATED NICKEL	3	4
-Brand#54	SMALL PLATED NICKEL	19	4
-Brand#54	SMALL PLATED NICKEL	49	4
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-Brand#54	SMALL PLATED STEEL	9	4
-Brand#54	SMALL PLATED STEEL	19	4
-Brand#54	SMALL PLATED STEEL	36	4
-Brand#54	SMALL PLATED STEEL	45	4
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-Brand#54	SMALL PLATED TIN	49	4
-Brand#54	SMALL POLISHED BRASS	14	4
-Brand#54	SMALL POLISHED BRASS	23	4
-Brand#54	SMALL POLISHED BRASS	49	4
-Brand#54	SMALL POLISHED COPPER	9	4
-Brand#54	SMALL POLISHED COPPER	23	4
-Brand#54	SMALL POLISHED NICKEL	9	4
-Brand#54	SMALL POLISHED NICKEL	19	4
-Brand#54	SMALL POLISHED NICKEL	45	4
-Brand#54	SMALL POLISHED STEEL	14	4
-Brand#54	SMALL POLISHED STEEL	19	4
-Brand#54	SMALL POLISHED STEEL	36	4
-Brand#54	SMALL POLISHED STEEL	45	4
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-Brand#54	SMALL POLISHED TIN	14	4
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-Brand#54	STANDARD ANODIZED BRASS	19	4
-Brand#54	STANDARD ANODIZED BRASS	36	4
-Brand#54	STANDARD ANODIZED BRASS	49	4
-Brand#54	STANDARD ANODIZED COPPER	3	4
-Brand#54	STANDARD ANODIZED COPPER	19	4
-Brand#54	STANDARD ANODIZED COPPER	45	4
-Brand#54	STANDARD ANODIZED NICKEL	14	4
-Brand#54	STANDARD ANODIZED NICKEL	45	4
-Brand#54	STANDARD ANODIZED STEEL	9	4
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-Brand#54	STANDARD ANODIZED STEEL	36	4
-Brand#54	STANDARD ANODIZED STEEL	45	4
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-Brand#54	STANDARD ANODIZED TIN	49	4
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-Brand#54	STANDARD BRUSHED NICKEL	19	4
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-Brand#54	STANDARD BURNISHED BRASS	23	4
-Brand#54	STANDARD BURNISHED BRASS	49	4
-Brand#54	STANDARD BURNISHED COPPER	14	4
-Brand#54	STANDARD BURNISHED COPPER	23	4
-Brand#54	STANDARD BURNISHED NICKEL	9	4
-Brand#54	STANDARD BURNISHED NICKEL	19	4
-Brand#54	STANDARD BURNISHED NICKEL	36	4
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-Brand#54	STANDARD BURNISHED STEEL	36	4
-Brand#54	STANDARD BURNISHED STEEL	45	4
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-Brand#54	STANDARD PLATED BRASS	36	4
-Brand#54	STANDARD PLATED BRASS	49	4
-Brand#54	STANDARD PLATED COPPER	14	4
-Brand#54	STANDARD PLATED NICKEL	3	4
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-Brand#54	STANDARD PLATED STEEL	49	4
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-Brand#54	STANDARD POLISHED COPPER	49	4
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-Brand#54	STANDARD POLISHED NICKEL	9	4
-Brand#54	STANDARD POLISHED NICKEL	19	4
-Brand#54	STANDARD POLISHED NICKEL	45	4
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-Brand#55	ECONOMY ANODIZED BRASS	49	4
-Brand#55	ECONOMY ANODIZED COPPER	3	4
-Brand#55	ECONOMY ANODIZED COPPER	19	4
-Brand#55	ECONOMY ANODIZED COPPER	36	4
-Brand#55	ECONOMY ANODIZED NICKEL	3	4
-Brand#55	ECONOMY ANODIZED NICKEL	19	4
-Brand#55	ECONOMY ANODIZED NICKEL	23	4
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-Brand#55	ECONOMY BRUSHED BRASS	36	4
-Brand#55	ECONOMY BRUSHED BRASS	45	4
-Brand#55	ECONOMY BRUSHED BRASS	49	4
-Brand#55	ECONOMY BRUSHED COPPER	3	4
-Brand#55	ECONOMY BRUSHED COPPER	19	4
-Brand#55	ECONOMY BRUSHED COPPER	45	4
-Brand#55	ECONOMY BRUSHED COPPER	49	4
-Brand#55	ECONOMY BRUSHED NICKEL	3	4
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-Brand#55	ECONOMY BRUSHED NICKEL	14	4
-Brand#55	ECONOMY BRUSHED NICKEL	36	4
-Brand#55	ECONOMY BRUSHED NICKEL	49	4
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-Brand#55	ECONOMY BURNISHED COPPER	3	4
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-Brand#55	ECONOMY BURNISHED COPPER	36	4
-Brand#55	ECONOMY BURNISHED NICKEL	9	4
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-Brand#55	ECONOMY BURNISHED NICKEL	45	4
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-Brand#55	ECONOMY POLISHED BRASS	36	4
-Brand#55	ECONOMY POLISHED BRASS	45	4
-Brand#55	ECONOMY POLISHED COPPER	14	4
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-Brand#55	ECONOMY POLISHED NICKEL	23	4
-Brand#55	ECONOMY POLISHED NICKEL	36	4
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-Brand#55	ECONOMY POLISHED STEEL	45	4
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-Brand#55	LARGE ANODIZED BRASS	45	4
-Brand#55	LARGE ANODIZED BRASS	49	4
-Brand#55	LARGE ANODIZED COPPER	19	4
-Brand#55	LARGE ANODIZED COPPER	49	4
-Brand#55	LARGE ANODIZED NICKEL	3	4
-Brand#55	LARGE ANODIZED NICKEL	49	4
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-Brand#55	LARGE ANODIZED STEEL	36	4
-Brand#55	LARGE ANODIZED STEEL	45	4
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-Brand#55	LARGE BRUSHED BRASS	45	4
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-Brand#55	LARGE BRUSHED COPPER	45	4
-Brand#55	LARGE BRUSHED NICKEL	9	4
-Brand#55	LARGE BRUSHED NICKEL	45	4
-Brand#55	LARGE BRUSHED NICKEL	49	4
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-Brand#55	LARGE BRUSHED STEEL	36	4
-Brand#55	LARGE BRUSHED STEEL	45	4
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-Brand#55	LARGE BURNISHED BRASS	23	4
-Brand#55	LARGE BURNISHED BRASS	36	4
-Brand#55	LARGE BURNISHED COPPER	23	4
-Brand#55	LARGE BURNISHED COPPER	45	4
-Brand#55	LARGE BURNISHED NICKEL	3	4
-Brand#55	LARGE BURNISHED NICKEL	9	4
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-Brand#55	LARGE PLATED BRASS	49	4
-Brand#55	LARGE PLATED COPPER	3	4
-Brand#55	LARGE PLATED COPPER	19	4
-Brand#55	LARGE PLATED COPPER	36	4
-Brand#55	LARGE PLATED NICKEL	3	4
-Brand#55	LARGE PLATED NICKEL	23	4
-Brand#55	LARGE PLATED NICKEL	45	4
-Brand#55	LARGE PLATED NICKEL	49	4
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-Brand#55	LARGE PLATED STEEL	45	4
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-Brand#55	LARGE PLATED TIN	23	4
-Brand#55	LARGE PLATED TIN	49	4
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-Brand#55	LARGE POLISHED BRASS	14	4
-Brand#55	LARGE POLISHED BRASS	19	4
-Brand#55	LARGE POLISHED COPPER	3	4
-Brand#55	LARGE POLISHED COPPER	14	4
-Brand#55	LARGE POLISHED COPPER	19	4
-Brand#55	LARGE POLISHED COPPER	23	4
-Brand#55	LARGE POLISHED COPPER	45	4
-Brand#55	LARGE POLISHED COPPER	49	4
-Brand#55	LARGE POLISHED NICKEL	23	4
-Brand#55	LARGE POLISHED NICKEL	45	4
-Brand#55	LARGE POLISHED STEEL	23	4
-Brand#55	LARGE POLISHED STEEL	36	4
-Brand#55	LARGE POLISHED STEEL	49	4
-Brand#55	LARGE POLISHED TIN	3	4
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-Brand#55	LARGE POLISHED TIN	23	4
-Brand#55	LARGE POLISHED TIN	49	4
-Brand#55	MEDIUM ANODIZED BRASS	3	4
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-Brand#55	MEDIUM ANODIZED BRASS	19	4
-Brand#55	MEDIUM ANODIZED BRASS	45	4
-Brand#55	MEDIUM ANODIZED COPPER	9	4
-Brand#55	MEDIUM ANODIZED COPPER	23	4
-Brand#55	MEDIUM ANODIZED COPPER	45	4
-Brand#55	MEDIUM ANODIZED NICKEL	3	4
-Brand#55	MEDIUM ANODIZED NICKEL	9	4
-Brand#55	MEDIUM ANODIZED NICKEL	23	4
-Brand#55	MEDIUM ANODIZED STEEL	9	4
-Brand#55	MEDIUM ANODIZED STEEL	23	4
-Brand#55	MEDIUM ANODIZED STEEL	36	4
-Brand#55	MEDIUM ANODIZED STEEL	45	4
-Brand#55	MEDIUM ANODIZED STEEL	49	4
-Brand#55	MEDIUM ANODIZED TIN	3	4
-Brand#55	MEDIUM ANODIZED TIN	9	4
-Brand#55	MEDIUM ANODIZED TIN	14	4
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-Brand#55	MEDIUM BRUSHED BRASS	36	4
-Brand#55	MEDIUM BRUSHED BRASS	45	4
-Brand#55	MEDIUM BRUSHED COPPER	9	4
-Brand#55	MEDIUM BRUSHED COPPER	14	4
-Brand#55	MEDIUM BRUSHED COPPER	19	4
-Brand#55	MEDIUM BRUSHED COPPER	36	4
-Brand#55	MEDIUM BRUSHED NICKEL	14	4
-Brand#55	MEDIUM BRUSHED NICKEL	49	4
-Brand#55	MEDIUM BRUSHED STEEL	3	4
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-Brand#55	MEDIUM BRUSHED TIN	49	4
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-Brand#55	MEDIUM BURNISHED BRASS	23	4
-Brand#55	MEDIUM BURNISHED BRASS	45	4
-Brand#55	MEDIUM BURNISHED BRASS	49	4
-Brand#55	MEDIUM BURNISHED COPPER	9	4
-Brand#55	MEDIUM BURNISHED COPPER	14	4
-Brand#55	MEDIUM BURNISHED COPPER	19	4
-Brand#55	MEDIUM BURNISHED NICKEL	3	4
-Brand#55	MEDIUM BURNISHED NICKEL	9	4
-Brand#55	MEDIUM BURNISHED NICKEL	14	4
-Brand#55	MEDIUM BURNISHED NICKEL	36	4
-Brand#55	MEDIUM BURNISHED STEEL	9	4
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-Brand#55	MEDIUM PLATED BRASS	36	4
-Brand#55	MEDIUM PLATED BRASS	49	4
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-Brand#55	MEDIUM PLATED NICKEL	9	4
-Brand#55	MEDIUM PLATED NICKEL	14	4
-Brand#55	MEDIUM PLATED NICKEL	45	4
-Brand#55	MEDIUM PLATED STEEL	9	4
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-Brand#55	PROMO ANODIZED COPPER	19	4
-Brand#55	PROMO ANODIZED NICKEL	23	4
-Brand#55	PROMO ANODIZED NICKEL	45	4
-Brand#55	PROMO ANODIZED STEEL	9	4
-Brand#55	PROMO ANODIZED STEEL	14	4
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-Brand#55	SMALL POLISHED BRASS	49	4
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-Brand#55	STANDARD PLATED BRASS	45	4
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-Brand#32	STANDARD ANODIZED COPPER	23	3
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q17.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q17.out
deleted file mode 100644
index a54818b81c..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q17.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q17 --
-348406.054285714
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q18.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q18.out
deleted file mode 100644
index 625f5d25af..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q18.out
+++ /dev/null
@@ -1,60 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q18 --
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-Customer#000088703	88703	2995076	1994-01-30	363812.12	302.000000000
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q19.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q19.out
deleted file mode 100644
index c50a3a4019..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q19.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q19 --
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q20.out b/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q20.out
deleted file mode 100644
index e8938a9209..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/pipeline_q20.out
+++ /dev/null
@@ -1,189 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !pipeline_q20 --
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-8877.82	Supplier#000007967	FRANCE	167966	Manufacturer#5	A3pi1BARM4nx6R,qrwFoRPU	16-442-147-9345	ously foxes. express, ironic requests im
-8862.24	Supplier#000003323	ROMANIA	73322	Manufacturer#3	W9 lYcsC9FwBqk3ItL	29-736-951-3710	ly pending ideas sleep about the furiously unu
-8841.59	Supplier#000005750	ROMANIA	100729	Manufacturer#5	Erx3lAgu0g62iaHF9x50uMH4EgeN9hEG	29-344-502-5481	gainst the pinto beans. fluffily unusual dependencies affix slyly even deposits.
-8781.71	Supplier#000003121	ROMANIA	13120	Manufacturer#5	wNqTogx238ZYCamFb,50v,bj 4IbNFW9Bvw1xP	29-707-291-5144	s wake quickly ironic ideas
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-8638.36	Supplier#000002920	RUSSIA	75398	Manufacturer#1	Je2a8bszf3L	32-122-621-7549	ly quickly ironic requests. even requests whithout t
-8638.36	Supplier#000002920	RUSSIA	170402	Manufacturer#3	Je2a8bszf3L	32-122-621-7549	ly quickly ironic requests. even requests whithout t
-8607.69	Supplier#000006003	UNITED KINGDOM	76002	Manufacturer#2	EH9wADcEiuenM0NR08zDwMidw,52Y2RyILEiA	33-416-807-5206	ar, pending accounts. pending depende
-8569.52	Supplier#000005936	RUSSIA	5935	Manufacturer#5	jXaNZ6vwnEWJ2ksLZJpjtgt0bY2a3AU	32-644-251-7916	. regular foxes nag carefully atop the regular, silent deposits. quickly regular packages 
-8564.12	Supplier#000000033	GERMANY	110032	Manufacturer#1	gfeKpYw3400L0SDywXA6Ya1Qmq1w6YB9f3R	17-138-897-9374	n sauternes along the regular asymptotes are regularly along the 
-8553.82	Supplier#000003979	ROMANIA	143978	Manufacturer#4	BfmVhCAnCMY3jzpjUMy4CNWs9 HzpdQR7INJU	29-124-646-4897	ic requests wake against the blithely unusual accounts. fluffily r
-8517.23	Supplier#000009529	RUSSIA	37025	Manufacturer#5	e44R8o7JAIS9iMcr	32-565-297-8775	ove the even courts. furiously special platelets 
-8517.23	Supplier#000009529	RUSSIA	59528	Manufacturer#2	e44R8o7JAIS9iMcr	32-565-297-8775	ove the even courts. furiously special platelets 
-8503.70	Supplier#000006830	RUSSIA	44325	Manufacturer#4	BC4WFCYRUZyaIgchU 4S	32-147-878-5069	pades cajole. furious packages among the carefully express excuses boost furiously across th
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-8441.40	Supplier#000003817	FRANCE	141302	Manufacturer#2	hU3fz3xL78	16-339-356-5115	ely even ideas. ideas wake slyly furiously unusual instructions. pinto beans sleep ag
-8432.89	Supplier#000003990	RUSSIA	191470	Manufacturer#1	wehBBp1RQbfxAYDASS75MsywmsKHRVdkrvNe6m	32-839-509-9301	ep furiously. packages should have to haggle slyly across the deposits. furiously regu
-8431.40	Supplier#000002675	ROMANIA	5174	Manufacturer#1	HJFStOu9R5NGPOegKhgbzBdyvrG2yh8w	29-474-643-1443	ithely express pinto beans. blithely even foxes haggle. furiously regular theodol
-8407.04	Supplier#000005406	RUSSIA	162889	Manufacturer#4	j7 gYF5RW8DC5UrjKC	32-626-152-4621	r the blithely regular packages. slyly ironic theodoli
-8386.08	Supplier#000008518	FRANCE	36014	Manufacturer#3	2jqzqqAVe9crMVGP,n9nTsQXulNLTUYoJjEDcqWV	16-618-780-7481	blithely bold pains are carefully platelets. finally regular pinto beans sleep carefully special
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-8338.58	Supplier#000007269	FRANCE	17268	Manufacturer#4	ZwhJSwABUoiB04,3	16-267-277-4365	iously final accounts. even pinto beans cajole slyly regular
-8328.46	Supplier#000001744	ROMANIA	69237	Manufacturer#5	oLo3fV64q2,FKHa3p,qHnS7Yzv,ps8	29-330-728-5873	ep carefully-- even, careful packages are slyly along t
-8307.93	Supplier#000003142	GERMANY	18139	Manufacturer#1	dqblvV8dCNAorGlJ	17-595-447-6026	olites wake furiously regular decoys. final requests nod 
-8231.61	Supplier#000009558	RUSSIA	192000	Manufacturer#2	mcdgen,yT1iJDHDS5fV	32-762-137-5858	 foxes according to the furi
-8152.61	Supplier#000002731	ROMANIA	15227	Manufacturer#4	 nluXJCuY1tu	29-805-463-2030	 special requests. even, regular warhorses affix among the final gr
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-7980.65	Supplier#000001288	FRANCE	13784	Manufacturer#4	zE,7HgVPrCn	16-646-464-8247	ully bold courts. escapades nag slyly. furiously fluffy theodo
-7950.37	Supplier#000008101	GERMANY	33094	Manufacturer#5	kkYvL6IuvojJgTNG IKkaXQDYgx8ILohj	17-627-663-8014	arefully unusual requests x-ray above the quickly final deposits. 
-7937.93	Supplier#000009012	ROMANIA	83995	Manufacturer#2	iUiTziH,Ek3i4lwSgunXMgrcTzwdb	29-250-925-9690	to the blithely ironic deposits nag sly
-7914.45	Supplier#000001013	RUSSIA	125988	Manufacturer#2	riRcntps4KEDtYScjpMIWeYF6mNnR	32-194-698-3365	 busily bold packages are dolphi
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-7912.91	Supplier#000004211	GERMANY	184210	Manufacturer#4	2wQRVovHrm3,v03IKzfTd,1PYsFXQFFOG	17-266-947-7315	ay furiously regular platelets. cou
-7894.56	Supplier#000007981	GERMANY	85472	Manufacturer#4	NSJ96vMROAbeXP	17-963-404-3760	ic platelets affix after the furiously
-7887.08	Supplier#000009792	GERMANY	164759	Manufacturer#3	Y28ITVeYriT3kIGdV2K8fSZ V2UqT5H1Otz	17-988-938-4296	ckly around the carefully fluffy theodolites. slyly ironic pack
-7871.50	Supplier#000007206	RUSSIA	104695	Manufacturer#1	3w fNCnrVmvJjE95sgWZzvW	32-432-452-7731	ironic requests. furiously final theodolites cajole. final, express packages sleep. quickly reg
-7852.45	Supplier#000005864	RUSSIA	8363	Manufacturer#4	WCNfBPZeSXh3h,c	32-454-883-3821	usly unusual pinto beans. brave ideas sleep carefully quickly ironi
-7850.66	Supplier#000001518	UNITED KINGDOM	86501	Manufacturer#1	ONda3YJiHKJOC	33-730-383-3892	ifts haggle fluffily pending pai
-7843.52	Supplier#000006683	FRANCE	11680	Manufacturer#4	2Z0JGkiv01Y00oCFwUGfviIbhzCdy	16-464-517-8943	 express, final pinto beans x-ray slyly asymptotes. unusual, unusual
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q03.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q03.out
deleted file mode 100644
index 6d835ef826..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q03.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q03 --
-2456423	406181.011100000	1995-03-05	0
-3459808	405838.698900000	1995-03-04	0
-492164	390324.061000000	1995-02-19	0
-1188320	384537.935900000	1995-03-09	0
-2435712	378673.055800000	1995-02-26	0
-4878020	378376.795200000	1995-03-12	0
-5521732	375153.921500000	1995-03-13	0
-2628192	373133.309400000	1995-02-22	0
-993600	371407.459500000	1995-03-05	0
-2300070	367371.145200000	1995-03-13	0
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q04.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q04.out
deleted file mode 100644
index 71bfdc87d2..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q04.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q04 --
-1-URGENT	10594
-2-HIGH	10476
-3-MEDIUM	10410
-4-NOT SPECIFIED	10556
-5-LOW	10487
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q05.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q05.out
deleted file mode 100644
index 2dc713c349..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q05.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q05 --
-INDONESIA	55502041.169700000
-VIETNAM	55295086.996700000
-CHINA	53724494.256600000
-INDIA	52035512.000200000
-JAPAN	45410175.695400000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q06.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q06.out
deleted file mode 100644
index b8efd770de..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q06.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q06 --
-123141078.228300000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q07.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q07.out
deleted file mode 100644
index 18d652b772..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q07.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q07 --
-FRANCE	GERMANY	1995	54639732.733600000
-FRANCE	GERMANY	1996	54633083.307600000
-GERMANY	FRANCE	1995	52531746.669700000
-GERMANY	FRANCE	1996	52520549.022400000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q08.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q08.out
deleted file mode 100644
index d0a1beeb7f..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q08.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q08 --
-1995	0.034435890
-1996	0.041485521
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q09.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q09.out
deleted file mode 100644
index 65d822bdb4..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q09.out
+++ /dev/null
@@ -1,178 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q09 --
-ALGERIA	1998	27136900.180300000
-ALGERIA	1997	48611833.496200000
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-ALGERIA	1992	45636849.488100000
-ARGENTINA	1998	28341663.784800000
-ARGENTINA	1997	47143964.117600000
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-ARGENTINA	1995	45631769.205400000
-ARGENTINA	1994	48268856.354700000
-ARGENTINA	1993	48605593.616200000
-ARGENTINA	1992	46654240.748700000
-BRAZIL	1998	26527736.396000000
-BRAZIL	1997	45640660.767700000
-BRAZIL	1996	45090647.163000000
-BRAZIL	1995	44015888.513200000
-BRAZIL	1994	44854218.893200000
-BRAZIL	1993	45766603.737900000
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-CANADA	1992	45873849.688200000
-CHINA	1998	27510180.165700000
-CHINA	1997	46123865.409700000
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-CHINA	1995	46734651.483800000
-CHINA	1994	46397896.609700000
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-CHINA	1992	46949457.642600000
-EGYPT	1998	28401491.796800000
-EGYPT	1997	47674857.678300000
-EGYPT	1996	47745727.545000000
-EGYPT	1995	45897160.678300000
-EGYPT	1994	47194895.228000000
-EGYPT	1993	49133627.647100000
-EGYPT	1992	47000574.502700000
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-FRANCE	1998	26210392.280400000
-FRANCE	1997	42392969.473100000
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-FRANCE	1995	46377408.432800000
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-IRAQ	1998	31188498.191400000
-IRAQ	1997	48585307.522200000
-IRAQ	1996	50036593.840400000
-IRAQ	1995	48774801.727500000
-IRAQ	1994	48795847.231000000
-IRAQ	1993	47435691.508200000
-IRAQ	1992	47562355.657100000
-JAPAN	1998	24694102.172000000
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-JAPAN	1992	39113493.905200000
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q10.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q10.out
deleted file mode 100644
index 95eb4c7a73..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q10.out
+++ /dev/null
@@ -1,23 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q10 --
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q11.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q11.out
deleted file mode 100644
index e159e66a81..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q11.out
+++ /dev/null
@@ -1,1051 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q12.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q12.out
deleted file mode 100644
index 3b7b427cf8..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q12.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q12 --
-MAIL	6202	9324
-SHIP	6200	9262
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q13.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q13.out
deleted file mode 100644
index 6cd958246c..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q13.out
+++ /dev/null
@@ -1,45 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q13 --
-0	50005
-9	6641
-10	6532
-11	6014
-8	5937
-12	5639
-13	5024
-19	4793
-7	4687
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-15	4505
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-3	415
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-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q14.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q14.out
deleted file mode 100644
index 60c92752a5..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q14.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q14 --
-16.380778626
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q15.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q15.out
deleted file mode 100644
index aac7812ca2..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q15.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q15 --
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-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q16.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q16.out
deleted file mode 100644
index 34ce386b0d..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q16.out
+++ /dev/null
@@ -1,18317 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q16 --
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-Brand#12	STANDARD BURNISHED BRASS	49	8
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-Brand#12	STANDARD POLISHED COPPER	23	8
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-Brand#13	ECONOMY ANODIZED COPPER	23	8
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-Brand#13	ECONOMY PLATED STEEL	45	8
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-Brand#13	ECONOMY POLISHED BRASS	36	8
-Brand#13	ECONOMY POLISHED COPPER	9	8
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-Brand#13	MEDIUM BRUSHED BRASS	49	8
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-Brand#13	PROMO BURNISHED COPPER	23	8
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-Brand#13	SMALL BRUSHED BRASS	49	8
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-Brand#14	LARGE POLISHED BRASS	36	8
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-Brand#14	MEDIUM ANODIZED COPPER	19	8
-Brand#14	MEDIUM ANODIZED COPPER	36	8
-Brand#14	MEDIUM ANODIZED COPPER	49	8
-Brand#14	MEDIUM ANODIZED NICKEL	9	8
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-Brand#14	MEDIUM BURNISHED NICKEL	49	8
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-Brand#14	MEDIUM PLATED BRASS	36	8
-Brand#14	MEDIUM PLATED BRASS	45	8
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-Brand#14	PROMO ANODIZED COPPER	36	8
-Brand#14	PROMO ANODIZED COPPER	45	8
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-Brand#14	PROMO BRUSHED BRASS	45	8
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-Brand#14	PROMO BRUSHED STEEL	49	8
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-Brand#14	PROMO BURNISHED BRASS	23	8
-Brand#14	PROMO BURNISHED BRASS	36	8
-Brand#14	PROMO BURNISHED BRASS	45	8
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-Brand#14	PROMO PLATED BRASS	45	8
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-Brand#14	PROMO PLATED STEEL	14	8
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-Brand#14	SMALL BRUSHED COPPER	49	8
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-Brand#14	SMALL BURNISHED BRASS	45	8
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-Brand#14	SMALL BURNISHED NICKEL	45	8
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-Brand#14	SMALL BURNISHED STEEL	45	8
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-Brand#14	SMALL PLATED TIN	49	8
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-Brand#14	SMALL POLISHED BRASS	36	8
-Brand#14	SMALL POLISHED BRASS	45	8
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-Brand#14	SMALL POLISHED NICKEL	19	8
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-Brand#14	SMALL POLISHED TIN	36	8
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-Brand#14	STANDARD ANODIZED COPPER	23	8
-Brand#14	STANDARD ANODIZED STEEL	9	8
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-Brand#14	STANDARD BRUSHED TIN	45	8
-Brand#14	STANDARD BRUSHED TIN	49	8
-Brand#14	STANDARD BURNISHED BRASS	9	8
-Brand#14	STANDARD BURNISHED BRASS	49	8
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-Brand#14	STANDARD BURNISHED NICKEL	3	8
-Brand#14	STANDARD BURNISHED NICKEL	19	8
-Brand#14	STANDARD BURNISHED NICKEL	23	8
-Brand#14	STANDARD BURNISHED STEEL	14	8
-Brand#14	STANDARD BURNISHED STEEL	19	8
-Brand#14	STANDARD BURNISHED STEEL	23	8
-Brand#14	STANDARD BURNISHED TIN	3	8
-Brand#14	STANDARD BURNISHED TIN	9	8
-Brand#14	STANDARD PLATED BRASS	9	8
-Brand#14	STANDARD PLATED BRASS	45	8
-Brand#14	STANDARD PLATED COPPER	14	8
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-Brand#14	STANDARD PLATED TIN	3	8
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-Brand#14	STANDARD POLISHED COPPER	3	8
-Brand#14	STANDARD POLISHED COPPER	49	8
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-Brand#14	STANDARD POLISHED NICKEL	9	8
-Brand#14	STANDARD POLISHED NICKEL	19	8
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-Brand#15	ECONOMY ANODIZED BRASS	9	8
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-Brand#15	ECONOMY ANODIZED STEEL	14	8
-Brand#15	ECONOMY ANODIZED STEEL	36	8
-Brand#15	ECONOMY ANODIZED TIN	36	8
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-Brand#15	ECONOMY BRUSHED NICKEL	3	8
-Brand#15	ECONOMY BRUSHED NICKEL	36	8
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-Brand#15	PROMO PLATED BRASS	49	8
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-Brand#21	STANDARD PLATED BRASS	49	8
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-Brand#21	STANDARD POLISHED BRASS	45	8
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-Brand#22	ECONOMY BRUSHED COPPER	9	8
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-Brand#22	ECONOMY BRUSHED NICKEL	9	8
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-Brand#24	ECONOMY ANODIZED TIN	36	8
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-Brand#24	ECONOMY BRUSHED NICKEL	9	8
-Brand#24	ECONOMY BRUSHED NICKEL	45	8
-Brand#24	ECONOMY BRUSHED NICKEL	49	8
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-Brand#24	ECONOMY BRUSHED TIN	14	8
-Brand#24	ECONOMY BRUSHED TIN	36	8
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-Brand#24	ECONOMY BURNISHED BRASS	49	8
-Brand#24	ECONOMY BURNISHED COPPER	45	8
-Brand#24	ECONOMY BURNISHED NICKEL	14	8
-Brand#24	ECONOMY BURNISHED NICKEL	19	8
-Brand#24	ECONOMY BURNISHED STEEL	9	8
-Brand#24	ECONOMY BURNISHED STEEL	36	8
-Brand#24	ECONOMY BURNISHED STEEL	49	8
-Brand#24	ECONOMY PLATED BRASS	49	8
-Brand#24	ECONOMY PLATED COPPER	36	8
-Brand#24	ECONOMY PLATED COPPER	45	8
-Brand#24	ECONOMY PLATED NICKEL	9	8
-Brand#24	ECONOMY PLATED NICKEL	36	8
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-Brand#24	ECONOMY POLISHED BRASS	9	8
-Brand#24	ECONOMY POLISHED BRASS	14	8
-Brand#24	ECONOMY POLISHED BRASS	36	8
-Brand#24	ECONOMY POLISHED COPPER	23	8
-Brand#24	ECONOMY POLISHED NICKEL	23	8
-Brand#24	ECONOMY POLISHED NICKEL	36	8
-Brand#24	ECONOMY POLISHED STEEL	23	8
-Brand#24	ECONOMY POLISHED STEEL	36	8
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-Brand#24	LARGE ANODIZED NICKEL	3	8
-Brand#24	LARGE ANODIZED NICKEL	23	8
-Brand#24	LARGE ANODIZED NICKEL	49	8
-Brand#24	LARGE ANODIZED STEEL	14	8
-Brand#24	LARGE ANODIZED STEEL	49	8
-Brand#24	LARGE ANODIZED TIN	9	8
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-Brand#24	LARGE BRUSHED COPPER	49	8
-Brand#24	LARGE BRUSHED NICKEL	36	8
-Brand#24	LARGE BRUSHED STEEL	9	8
-Brand#24	LARGE BRUSHED STEEL	19	8
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-Brand#24	LARGE BRUSHED TIN	49	8
-Brand#24	LARGE BURNISHED BRASS	3	8
-Brand#24	LARGE BURNISHED BRASS	23	8
-Brand#24	LARGE BURNISHED COPPER	3	8
-Brand#24	LARGE BURNISHED NICKEL	14	8
-Brand#24	LARGE BURNISHED NICKEL	19	8
-Brand#24	LARGE BURNISHED TIN	45	8
-Brand#24	LARGE PLATED BRASS	9	8
-Brand#24	LARGE PLATED BRASS	23	8
-Brand#24	LARGE PLATED COPPER	45	8
-Brand#24	LARGE PLATED COPPER	49	8
-Brand#24	LARGE PLATED NICKEL	14	8
-Brand#24	LARGE PLATED NICKEL	49	8
-Brand#24	LARGE PLATED STEEL	19	8
-Brand#24	LARGE PLATED STEEL	36	8
-Brand#24	LARGE PLATED TIN	19	8
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-Brand#24	LARGE POLISHED BRASS	14	8
-Brand#24	LARGE POLISHED BRASS	36	8
-Brand#24	LARGE POLISHED NICKEL	9	8
-Brand#24	LARGE POLISHED NICKEL	19	8
-Brand#24	LARGE POLISHED NICKEL	36	8
-Brand#24	LARGE POLISHED STEEL	23	8
-Brand#24	LARGE POLISHED STEEL	49	8
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-Brand#24	MEDIUM ANODIZED BRASS	49	8
-Brand#24	MEDIUM ANODIZED COPPER	45	8
-Brand#24	MEDIUM ANODIZED NICKEL	36	8
-Brand#24	MEDIUM ANODIZED STEEL	9	8
-Brand#24	MEDIUM ANODIZED STEEL	23	8
-Brand#24	MEDIUM ANODIZED STEEL	49	8
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-Brand#24	MEDIUM BRUSHED COPPER	14	8
-Brand#24	MEDIUM BRUSHED TIN	49	8
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-Brand#24	MEDIUM BURNISHED COPPER	3	8
-Brand#24	MEDIUM BURNISHED COPPER	9	8
-Brand#24	MEDIUM BURNISHED NICKEL	36	8
-Brand#24	MEDIUM BURNISHED NICKEL	45	8
-Brand#24	MEDIUM BURNISHED STEEL	19	8
-Brand#24	MEDIUM BURNISHED STEEL	36	8
-Brand#24	MEDIUM PLATED BRASS	19	8
-Brand#24	MEDIUM PLATED BRASS	23	8
-Brand#24	MEDIUM PLATED COPPER	3	8
-Brand#24	MEDIUM PLATED COPPER	9	8
-Brand#24	MEDIUM PLATED COPPER	23	8
-Brand#24	MEDIUM PLATED COPPER	45	8
-Brand#24	MEDIUM PLATED NICKEL	3	8
-Brand#24	MEDIUM PLATED NICKEL	19	8
-Brand#24	MEDIUM PLATED STEEL	14	8
-Brand#24	MEDIUM PLATED STEEL	19	8
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-Brand#24	PROMO ANODIZED NICKEL	14	8
-Brand#24	PROMO ANODIZED STEEL	9	8
-Brand#24	PROMO ANODIZED STEEL	45	8
-Brand#24	PROMO BRUSHED BRASS	19	8
-Brand#24	PROMO BRUSHED COPPER	3	8
-Brand#24	PROMO BRUSHED COPPER	45	8
-Brand#24	PROMO BRUSHED NICKEL	19	8
-Brand#24	PROMO BRUSHED NICKEL	45	8
-Brand#24	PROMO BRUSHED NICKEL	49	8
-Brand#24	PROMO BRUSHED STEEL	19	8
-Brand#24	PROMO BRUSHED TIN	14	8
-Brand#24	PROMO BURNISHED BRASS	49	8
-Brand#24	PROMO BURNISHED STEEL	3	8
-Brand#24	PROMO PLATED BRASS	3	8
-Brand#24	PROMO PLATED BRASS	9	8
-Brand#24	PROMO PLATED BRASS	19	8
-Brand#24	PROMO PLATED BRASS	49	8
-Brand#24	PROMO PLATED COPPER	9	8
-Brand#24	PROMO PLATED NICKEL	9	8
-Brand#24	PROMO PLATED STEEL	36	8
-Brand#24	PROMO PLATED TIN	23	8
-Brand#24	PROMO PLATED TIN	49	8
-Brand#24	PROMO POLISHED BRASS	45	8
-Brand#24	PROMO POLISHED COPPER	49	8
-Brand#24	PROMO POLISHED NICKEL	45	8
-Brand#24	PROMO POLISHED NICKEL	49	8
-Brand#24	PROMO POLISHED STEEL	14	8
-Brand#24	PROMO POLISHED STEEL	36	8
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-Brand#24	PROMO POLISHED TIN	14	8
-Brand#24	PROMO POLISHED TIN	45	8
-Brand#24	SMALL ANODIZED BRASS	19	8
-Brand#24	SMALL ANODIZED BRASS	23	8
-Brand#24	SMALL ANODIZED COPPER	36	8
-Brand#24	SMALL ANODIZED NICKEL	9	8
-Brand#24	SMALL ANODIZED NICKEL	45	8
-Brand#24	SMALL ANODIZED NICKEL	49	8
-Brand#24	SMALL ANODIZED STEEL	45	8
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-Brand#24	SMALL ANODIZED TIN	23	8
-Brand#24	SMALL ANODIZED TIN	36	8
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-Brand#24	SMALL BRUSHED COPPER	19	8
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-Brand#24	SMALL BRUSHED STEEL	9	8
-Brand#24	SMALL BRUSHED STEEL	19	8
-Brand#24	SMALL BRUSHED STEEL	36	8
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-Brand#24	SMALL BRUSHED TIN	14	8
-Brand#24	SMALL BRUSHED TIN	36	8
-Brand#24	SMALL BRUSHED TIN	49	8
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-Brand#24	SMALL BURNISHED BRASS	36	8
-Brand#24	SMALL BURNISHED BRASS	49	8
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-Brand#24	SMALL BURNISHED NICKEL	23	8
-Brand#24	SMALL BURNISHED NICKEL	36	8
-Brand#24	SMALL BURNISHED TIN	9	8
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-Brand#24	SMALL PLATED BRASS	36	8
-Brand#24	SMALL PLATED COPPER	3	8
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-Brand#24	SMALL PLATED STEEL	14	8
-Brand#24	SMALL PLATED STEEL	49	8
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-Brand#24	SMALL POLISHED BRASS	23	8
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-Brand#24	SMALL POLISHED NICKEL	9	8
-Brand#24	SMALL POLISHED NICKEL	36	8
-Brand#24	SMALL POLISHED NICKEL	45	8
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-Brand#24	STANDARD ANODIZED BRASS	49	8
-Brand#24	STANDARD ANODIZED COPPER	14	8
-Brand#24	STANDARD ANODIZED NICKEL	36	8
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-Brand#24	STANDARD ANODIZED STEEL	14	8
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-Brand#24	STANDARD BRUSHED COPPER	9	8
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-Brand#24	STANDARD PLATED COPPER	14	8
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-Brand#24	STANDARD PLATED NICKEL	14	8
-Brand#24	STANDARD PLATED NICKEL	45	8
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-Brand#24	STANDARD PLATED STEEL	49	8
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-Brand#24	STANDARD PLATED TIN	45	8
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-Brand#24	STANDARD POLISHED COPPER	23	8
-Brand#24	STANDARD POLISHED COPPER	45	8
-Brand#24	STANDARD POLISHED NICKEL	3	8
-Brand#24	STANDARD POLISHED NICKEL	14	8
-Brand#24	STANDARD POLISHED STEEL	3	8
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-Brand#24	STANDARD POLISHED STEEL	19	8
-Brand#24	STANDARD POLISHED STEEL	23	8
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-Brand#25	ECONOMY ANODIZED COPPER	9	8
-Brand#25	ECONOMY ANODIZED COPPER	23	8
-Brand#25	ECONOMY ANODIZED NICKEL	9	8
-Brand#25	ECONOMY ANODIZED NICKEL	19	8
-Brand#25	ECONOMY ANODIZED NICKEL	45	8
-Brand#25	ECONOMY ANODIZED STEEL	3	8
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-Brand#25	ECONOMY BURNISHED COPPER	14	8
-Brand#25	ECONOMY BURNISHED COPPER	45	8
-Brand#25	ECONOMY BURNISHED NICKEL	36	8
-Brand#25	ECONOMY BURNISHED STEEL	9	8
-Brand#25	ECONOMY PLATED NICKEL	45	8
-Brand#25	ECONOMY PLATED STEEL	49	8
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-Brand#25	ECONOMY POLISHED BRASS	45	8
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-Brand#25	LARGE ANODIZED NICKEL	36	8
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-Brand#25	LARGE BURNISHED BRASS	49	8
-Brand#25	LARGE BURNISHED COPPER	3	8
-Brand#25	LARGE BURNISHED COPPER	14	8
-Brand#25	LARGE BURNISHED COPPER	19	8
-Brand#25	LARGE BURNISHED COPPER	45	8
-Brand#25	LARGE BURNISHED TIN	3	8
-Brand#25	LARGE BURNISHED TIN	9	8
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-Brand#25	LARGE PLATED NICKEL	36	8
-Brand#25	LARGE PLATED STEEL	9	8
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-Brand#25	LARGE PLATED STEEL	49	8
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-Brand#25	LARGE PLATED TIN	9	8
-Brand#25	LARGE PLATED TIN	19	8
-Brand#25	LARGE PLATED TIN	45	8
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-Brand#25	LARGE POLISHED BRASS	19	8
-Brand#25	LARGE POLISHED COPPER	14	8
-Brand#25	LARGE POLISHED COPPER	23	8
-Brand#25	LARGE POLISHED COPPER	36	8
-Brand#25	LARGE POLISHED NICKEL	14	8
-Brand#25	LARGE POLISHED STEEL	9	8
-Brand#25	LARGE POLISHED STEEL	36	8
-Brand#25	LARGE POLISHED STEEL	45	8
-Brand#25	MEDIUM ANODIZED COPPER	9	8
-Brand#25	MEDIUM ANODIZED COPPER	36	8
-Brand#25	MEDIUM ANODIZED NICKEL	9	8
-Brand#25	MEDIUM ANODIZED NICKEL	36	8
-Brand#25	MEDIUM ANODIZED STEEL	3	8
-Brand#25	MEDIUM ANODIZED TIN	9	8
-Brand#25	MEDIUM ANODIZED TIN	49	8
-Brand#25	MEDIUM BRUSHED COPPER	14	8
-Brand#25	MEDIUM BRUSHED COPPER	45	8
-Brand#25	MEDIUM BRUSHED COPPER	49	8
-Brand#25	MEDIUM BRUSHED NICKEL	49	8
-Brand#25	MEDIUM BRUSHED STEEL	45	8
-Brand#25	MEDIUM BURNISHED BRASS	3	8
-Brand#25	MEDIUM BURNISHED BRASS	19	8
-Brand#25	MEDIUM BURNISHED BRASS	36	8
-Brand#25	MEDIUM BURNISHED BRASS	45	8
-Brand#25	MEDIUM BURNISHED COPPER	14	8
-Brand#25	MEDIUM BURNISHED COPPER	19	8
-Brand#25	MEDIUM BURNISHED COPPER	45	8
-Brand#25	MEDIUM BURNISHED NICKEL	3	8
-Brand#25	MEDIUM BURNISHED NICKEL	9	8
-Brand#25	MEDIUM BURNISHED STEEL	3	8
-Brand#25	MEDIUM BURNISHED STEEL	45	8
-Brand#25	MEDIUM BURNISHED STEEL	49	8
-Brand#25	MEDIUM BURNISHED TIN	9	8
-Brand#25	MEDIUM PLATED BRASS	14	8
-Brand#25	MEDIUM PLATED BRASS	45	8
-Brand#25	MEDIUM PLATED COPPER	49	8
-Brand#25	MEDIUM PLATED NICKEL	9	8
-Brand#25	MEDIUM PLATED NICKEL	19	8
-Brand#25	MEDIUM PLATED NICKEL	23	8
-Brand#25	MEDIUM PLATED NICKEL	36	8
-Brand#25	MEDIUM PLATED NICKEL	45	8
-Brand#25	MEDIUM PLATED TIN	3	8
-Brand#25	PROMO ANODIZED BRASS	23	8
-Brand#25	PROMO ANODIZED BRASS	45	8
-Brand#25	PROMO ANODIZED COPPER	19	8
-Brand#25	PROMO ANODIZED COPPER	45	8
-Brand#25	PROMO ANODIZED TIN	3	8
-Brand#25	PROMO ANODIZED TIN	14	8
-Brand#25	PROMO ANODIZED TIN	19	8
-Brand#25	PROMO BRUSHED COPPER	49	8
-Brand#25	PROMO BRUSHED NICKEL	3	8
-Brand#25	PROMO BRUSHED NICKEL	19	8
-Brand#25	PROMO BRUSHED TIN	14	8
-Brand#25	PROMO BRUSHED TIN	19	8
-Brand#25	PROMO BURNISHED COPPER	14	8
-Brand#25	PROMO BURNISHED NICKEL	3	8
-Brand#25	PROMO BURNISHED NICKEL	36	8
-Brand#25	PROMO BURNISHED STEEL	19	8
-Brand#25	PROMO BURNISHED TIN	36	8
-Brand#25	PROMO PLATED BRASS	14	8
-Brand#25	PROMO PLATED BRASS	19	8
-Brand#25	PROMO PLATED NICKEL	3	8
-Brand#25	PROMO PLATED NICKEL	9	8
-Brand#25	PROMO PLATED NICKEL	49	8
-Brand#25	PROMO PLATED STEEL	23	8
-Brand#25	PROMO PLATED STEEL	36	8
-Brand#25	PROMO POLISHED BRASS	14	8
-Brand#25	PROMO POLISHED COPPER	9	8
-Brand#25	PROMO POLISHED COPPER	36	8
-Brand#25	PROMO POLISHED NICKEL	19	8
-Brand#25	PROMO POLISHED NICKEL	45	8
-Brand#25	PROMO POLISHED TIN	19	8
-Brand#25	SMALL ANODIZED BRASS	3	8
-Brand#25	SMALL ANODIZED BRASS	9	8
-Brand#25	SMALL ANODIZED BRASS	14	8
-Brand#25	SMALL ANODIZED BRASS	23	8
-Brand#25	SMALL ANODIZED NICKEL	14	8
-Brand#25	SMALL ANODIZED NICKEL	19	8
-Brand#25	SMALL ANODIZED NICKEL	49	8
-Brand#25	SMALL ANODIZED STEEL	23	8
-Brand#25	SMALL ANODIZED TIN	3	8
-Brand#25	SMALL ANODIZED TIN	45	8
-Brand#25	SMALL BRUSHED BRASS	3	8
-Brand#25	SMALL BRUSHED BRASS	49	8
-Brand#25	SMALL BRUSHED COPPER	36	8
-Brand#25	SMALL BRUSHED NICKEL	9	8
-Brand#25	SMALL BRUSHED NICKEL	49	8
-Brand#25	SMALL BRUSHED STEEL	3	8
-Brand#25	SMALL BRUSHED TIN	36	8
-Brand#25	SMALL BRUSHED TIN	49	8
-Brand#25	SMALL BURNISHED BRASS	23	8
-Brand#25	SMALL BURNISHED COPPER	45	8
-Brand#25	SMALL BURNISHED NICKEL	23	8
-Brand#25	SMALL BURNISHED STEEL	3	8
-Brand#25	SMALL BURNISHED TIN	3	8
-Brand#25	SMALL PLATED COPPER	36	8
-Brand#25	SMALL PLATED COPPER	49	8
-Brand#25	SMALL PLATED STEEL	23	8
-Brand#25	SMALL PLATED STEEL	36	8
-Brand#25	SMALL PLATED STEEL	45	8
-Brand#25	SMALL PLATED TIN	49	8
-Brand#25	SMALL POLISHED BRASS	3	8
-Brand#25	SMALL POLISHED BRASS	19	8
-Brand#25	SMALL POLISHED BRASS	23	8
-Brand#25	SMALL POLISHED BRASS	45	8
-Brand#25	SMALL POLISHED COPPER	3	8
-Brand#25	SMALL POLISHED NICKEL	9	8
-Brand#25	SMALL POLISHED NICKEL	14	8
-Brand#25	SMALL POLISHED NICKEL	19	8
-Brand#25	SMALL POLISHED STEEL	14	8
-Brand#25	SMALL POLISHED TIN	45	8
-Brand#25	SMALL POLISHED TIN	49	8
-Brand#25	STANDARD ANODIZED BRASS	9	8
-Brand#25	STANDARD ANODIZED BRASS	45	8
-Brand#25	STANDARD ANODIZED NICKEL	14	8
-Brand#25	STANDARD ANODIZED NICKEL	23	8
-Brand#25	STANDARD ANODIZED NICKEL	49	8
-Brand#25	STANDARD ANODIZED STEEL	3	8
-Brand#25	STANDARD ANODIZED STEEL	9	8
-Brand#25	STANDARD ANODIZED TIN	9	8
-Brand#25	STANDARD ANODIZED TIN	14	8
-Brand#25	STANDARD ANODIZED TIN	23	8
-Brand#25	STANDARD ANODIZED TIN	49	8
-Brand#25	STANDARD BRUSHED COPPER	3	8
-Brand#25	STANDARD BRUSHED COPPER	36	8
-Brand#25	STANDARD BRUSHED NICKEL	14	8
-Brand#25	STANDARD BRUSHED NICKEL	19	8
-Brand#25	STANDARD BRUSHED TIN	36	8
-Brand#25	STANDARD BURNISHED NICKEL	9	8
-Brand#25	STANDARD BURNISHED NICKEL	19	8
-Brand#25	STANDARD BURNISHED STEEL	14	8
-Brand#25	STANDARD BURNISHED STEEL	36	8
-Brand#25	STANDARD BURNISHED STEEL	45	8
-Brand#25	STANDARD BURNISHED TIN	14	8
-Brand#25	STANDARD BURNISHED TIN	19	8
-Brand#25	STANDARD PLATED BRASS	19	8
-Brand#25	STANDARD PLATED COPPER	14	8
-Brand#25	STANDARD PLATED COPPER	36	8
-Brand#25	STANDARD PLATED COPPER	45	8
-Brand#25	STANDARD PLATED STEEL	45	8
-Brand#25	STANDARD PLATED TIN	49	8
-Brand#25	STANDARD POLISHED BRASS	19	8
-Brand#25	STANDARD POLISHED BRASS	49	8
-Brand#25	STANDARD POLISHED NICKEL	3	8
-Brand#25	STANDARD POLISHED STEEL	19	8
-Brand#25	STANDARD POLISHED TIN	36	8
-Brand#25	STANDARD POLISHED TIN	45	8
-Brand#25	STANDARD POLISHED TIN	49	8
-Brand#31	ECONOMY ANODIZED COPPER	23	8
-Brand#31	ECONOMY ANODIZED NICKEL	9	8
-Brand#31	ECONOMY ANODIZED NICKEL	14	8
-Brand#31	ECONOMY ANODIZED STEEL	3	8
-Brand#31	ECONOMY ANODIZED TIN	3	8
-Brand#31	ECONOMY ANODIZED TIN	19	8
-Brand#31	ECONOMY BRUSHED COPPER	3	8
-Brand#31	ECONOMY BRUSHED COPPER	9	8
-Brand#31	ECONOMY BRUSHED NICKEL	9	8
-Brand#31	ECONOMY BRUSHED STEEL	3	8
-Brand#31	ECONOMY BRUSHED STEEL	19	8
-Brand#31	ECONOMY BRUSHED TIN	23	8
-Brand#31	ECONOMY BURNISHED COPPER	45	8
-Brand#31	ECONOMY BURNISHED STEEL	3	8
-Brand#31	ECONOMY BURNISHED STEEL	14	8
-Brand#31	ECONOMY BURNISHED STEEL	19	8
-Brand#31	ECONOMY BURNISHED TIN	3	8
-Brand#31	ECONOMY BURNISHED TIN	45	8
-Brand#31	ECONOMY BURNISHED TIN	49	8
-Brand#31	ECONOMY PLATED BRASS	36	8
-Brand#31	ECONOMY PLATED COPPER	19	8
-Brand#31	ECONOMY PLATED COPPER	49	8
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-Brand#32	SMALL BURNISHED BRASS	49	8
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-Brand#32	STANDARD BURNISHED NICKEL	49	8
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-Brand#32	STANDARD PLATED BRASS	9	8
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-Brand#32	STANDARD PLATED TIN	9	8
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-Brand#32	STANDARD POLISHED NICKEL	49	8
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-Brand#33	ECONOMY ANODIZED BRASS	19	8
-Brand#33	ECONOMY ANODIZED COPPER	3	8
-Brand#33	ECONOMY ANODIZED COPPER	9	8
-Brand#33	ECONOMY ANODIZED COPPER	23	8
-Brand#33	ECONOMY ANODIZED NICKEL	3	8
-Brand#33	ECONOMY ANODIZED NICKEL	23	8
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-Brand#33	ECONOMY BRUSHED BRASS	45	8
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-Brand#33	ECONOMY BRUSHED COPPER	45	8
-Brand#33	ECONOMY BRUSHED NICKEL	14	8
-Brand#33	ECONOMY BRUSHED NICKEL	45	8
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-Brand#33	ECONOMY BURNISHED BRASS	45	8
-Brand#33	ECONOMY BURNISHED BRASS	49	8
-Brand#33	ECONOMY BURNISHED COPPER	3	8
-Brand#33	ECONOMY BURNISHED COPPER	14	8
-Brand#33	ECONOMY BURNISHED COPPER	19	8
-Brand#33	ECONOMY BURNISHED STEEL	9	8
-Brand#33	ECONOMY BURNISHED STEEL	36	8
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-Brand#33	ECONOMY PLATED BRASS	3	8
-Brand#33	ECONOMY PLATED BRASS	9	8
-Brand#33	ECONOMY PLATED BRASS	19	8
-Brand#33	ECONOMY PLATED COPPER	9	8
-Brand#33	ECONOMY PLATED COPPER	14	8
-Brand#33	ECONOMY PLATED COPPER	23	8
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-Brand#33	LARGE BRUSHED BRASS	49	8
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-Brand#33	LARGE BRUSHED COPPER	49	8
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-Brand#33	LARGE BRUSHED NICKEL	14	8
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-Brand#33	LARGE BURNISHED TIN	14	8
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-Brand#33	LARGE POLISHED NICKEL	14	8
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-Brand#33	MEDIUM ANODIZED COPPER	9	8
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-Brand#33	MEDIUM BRUSHED NICKEL	45	8
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-Brand#33	MEDIUM BURNISHED COPPER	45	8
-Brand#33	MEDIUM BURNISHED COPPER	49	8
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-Brand#33	PROMO BRUSHED COPPER	9	8
-Brand#33	PROMO BRUSHED COPPER	45	8
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-Brand#33	PROMO BRUSHED NICKEL	49	8
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-Brand#33	PROMO BURNISHED BRASS	49	8
-Brand#33	PROMO BURNISHED COPPER	3	8
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-Brand#33	PROMO BURNISHED NICKEL	14	8
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-Brand#33	PROMO BURNISHED STEEL	14	8
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-Brand#33	PROMO BURNISHED STEEL	36	8
-Brand#33	PROMO BURNISHED STEEL	45	8
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-Brand#33	PROMO PLATED BRASS	45	8
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-Brand#33	PROMO POLISHED BRASS	9	8
-Brand#33	PROMO POLISHED BRASS	14	8
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-Brand#33	PROMO POLISHED BRASS	49	8
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-Brand#33	PROMO POLISHED NICKEL	49	8
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-Brand#33	STANDARD PLATED COPPER	45	8
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-Brand#34	ECONOMY ANODIZED COPPER	14	8
-Brand#34	ECONOMY ANODIZED COPPER	45	8
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-Brand#34	LARGE PLATED COPPER	49	8
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-Brand#34	LARGE POLISHED STEEL	23	8
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-Brand#34	MEDIUM ANODIZED BRASS	23	8
-Brand#34	MEDIUM ANODIZED BRASS	49	8
-Brand#34	MEDIUM ANODIZED STEEL	49	8
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-Brand#34	MEDIUM ANODIZED TIN	14	8
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-Brand#34	MEDIUM BRUSHED COPPER	45	8
-Brand#34	MEDIUM BRUSHED COPPER	49	8
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-Brand#34	MEDIUM BURNISHED COPPER	3	8
-Brand#34	MEDIUM BURNISHED NICKEL	36	8
-Brand#34	MEDIUM BURNISHED TIN	3	8
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-Brand#34	MEDIUM PLATED COPPER	14	8
-Brand#34	MEDIUM PLATED COPPER	49	8
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-Brand#34	PROMO ANODIZED COPPER	45	8
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-Brand#34	PROMO ANODIZED NICKEL	19	8
-Brand#34	PROMO ANODIZED STEEL	14	8
-Brand#34	PROMO ANODIZED STEEL	23	8
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-Brand#34	PROMO BRUSHED BRASS	45	8
-Brand#34	PROMO BRUSHED COPPER	14	8
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-Brand#34	PROMO BRUSHED TIN	45	8
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-Brand#34	PROMO BURNISHED BRASS	36	8
-Brand#34	PROMO BURNISHED NICKEL	19	8
-Brand#34	PROMO BURNISHED STEEL	9	8
-Brand#34	PROMO BURNISHED STEEL	45	8
-Brand#34	PROMO BURNISHED STEEL	49	8
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-Brand#34	PROMO BURNISHED TIN	36	8
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-Brand#34	PROMO PLATED BRASS	49	8
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-Brand#34	PROMO PLATED STEEL	14	8
-Brand#34	PROMO POLISHED BRASS	23	8
-Brand#34	PROMO POLISHED COPPER	14	8
-Brand#34	PROMO POLISHED NICKEL	19	8
-Brand#34	PROMO POLISHED STEEL	9	8
-Brand#34	PROMO POLISHED STEEL	19	8
-Brand#34	PROMO POLISHED STEEL	49	8
-Brand#34	PROMO POLISHED TIN	9	8
-Brand#34	PROMO POLISHED TIN	45	8
-Brand#34	SMALL ANODIZED BRASS	49	8
-Brand#34	SMALL ANODIZED NICKEL	23	8
-Brand#34	SMALL ANODIZED NICKEL	36	8
-Brand#34	SMALL ANODIZED NICKEL	49	8
-Brand#34	SMALL ANODIZED STEEL	49	8
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-Brand#34	SMALL BRUSHED NICKEL	45	8
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-Brand#34	SMALL BRUSHED STEEL	14	8
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-Brand#34	SMALL BURNISHED BRASS	45	8
-Brand#34	SMALL BURNISHED COPPER	14	8
-Brand#34	SMALL BURNISHED COPPER	23	8
-Brand#34	SMALL BURNISHED NICKEL	3	8
-Brand#34	SMALL BURNISHED NICKEL	49	8
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-Brand#34	SMALL BURNISHED TIN	49	8
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-Brand#34	SMALL PLATED COPPER	23	8
-Brand#34	SMALL PLATED COPPER	49	8
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-Brand#34	SMALL PLATED NICKEL	9	8
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-Brand#34	SMALL PLATED STEEL	45	8
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-Brand#34	SMALL POLISHED COPPER	9	8
-Brand#34	SMALL POLISHED COPPER	45	8
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-Brand#34	STANDARD ANODIZED COPPER	3	8
-Brand#34	STANDARD ANODIZED COPPER	45	8
-Brand#34	STANDARD ANODIZED NICKEL	3	8
-Brand#34	STANDARD ANODIZED NICKEL	9	8
-Brand#34	STANDARD ANODIZED NICKEL	23	8
-Brand#34	STANDARD ANODIZED NICKEL	36	8
-Brand#34	STANDARD ANODIZED STEEL	3	8
-Brand#34	STANDARD ANODIZED STEEL	45	8
-Brand#34	STANDARD ANODIZED TIN	36	8
-Brand#34	STANDARD BRUSHED COPPER	49	8
-Brand#34	STANDARD BRUSHED NICKEL	19	8
-Brand#34	STANDARD BRUSHED NICKEL	45	8
-Brand#34	STANDARD BRUSHED TIN	49	8
-Brand#34	STANDARD BURNISHED BRASS	14	8
-Brand#34	STANDARD BURNISHED BRASS	19	8
-Brand#34	STANDARD BURNISHED BRASS	49	8
-Brand#34	STANDARD BURNISHED COPPER	9	8
-Brand#34	STANDARD BURNISHED COPPER	45	8
-Brand#34	STANDARD BURNISHED NICKEL	14	8
-Brand#34	STANDARD BURNISHED NICKEL	49	8
-Brand#34	STANDARD BURNISHED STEEL	9	8
-Brand#34	STANDARD BURNISHED TIN	9	8
-Brand#34	STANDARD BURNISHED TIN	23	8
-Brand#34	STANDARD PLATED NICKEL	3	8
-Brand#34	STANDARD PLATED NICKEL	19	8
-Brand#34	STANDARD PLATED NICKEL	36	8
-Brand#34	STANDARD PLATED STEEL	23	8
-Brand#34	STANDARD PLATED STEEL	49	8
-Brand#34	STANDARD PLATED TIN	14	8
-Brand#34	STANDARD PLATED TIN	19	8
-Brand#34	STANDARD PLATED TIN	45	8
-Brand#34	STANDARD POLISHED BRASS	9	8
-Brand#34	STANDARD POLISHED BRASS	19	8
-Brand#34	STANDARD POLISHED COPPER	36	8
-Brand#34	STANDARD POLISHED NICKEL	36	8
-Brand#34	STANDARD POLISHED STEEL	3	8
-Brand#34	STANDARD POLISHED STEEL	9	8
-Brand#34	STANDARD POLISHED STEEL	23	8
-Brand#34	STANDARD POLISHED TIN	3	8
-Brand#35	ECONOMY ANODIZED BRASS	23	8
-Brand#35	ECONOMY ANODIZED COPPER	3	8
-Brand#35	ECONOMY ANODIZED COPPER	49	8
-Brand#35	ECONOMY ANODIZED NICKEL	3	8
-Brand#35	ECONOMY ANODIZED NICKEL	9	8
-Brand#35	ECONOMY ANODIZED NICKEL	49	8
-Brand#35	ECONOMY ANODIZED STEEL	36	8
-Brand#35	ECONOMY ANODIZED TIN	19	8
-Brand#35	ECONOMY ANODIZED TIN	23	8
-Brand#35	ECONOMY BRUSHED BRASS	3	8
-Brand#35	ECONOMY BRUSHED COPPER	23	8
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-Brand#42	LARGE BURNISHED BRASS	49	8
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-Brand#42	PROMO BURNISHED BRASS	45	8
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-Brand#43	ECONOMY BURNISHED NICKEL	14	8
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-Brand#43	ECONOMY BURNISHED TIN	49	8
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-Brand#43	LARGE BURNISHED BRASS	49	8
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-Brand#43	MEDIUM ANODIZED COPPER	19	8
-Brand#43	MEDIUM ANODIZED COPPER	23	8
-Brand#43	MEDIUM ANODIZED NICKEL	3	8
-Brand#43	MEDIUM ANODIZED STEEL	9	8
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-Brand#43	MEDIUM BRUSHED BRASS	14	8
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-Brand#43	MEDIUM BRUSHED STEEL	49	8
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-Brand#43	MEDIUM BURNISHED NICKEL	19	8
-Brand#43	MEDIUM BURNISHED NICKEL	36	8
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-Brand#43	MEDIUM PLATED BRASS	36	8
-Brand#43	MEDIUM PLATED COPPER	3	8
-Brand#43	MEDIUM PLATED COPPER	49	8
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-Brand#43	MEDIUM PLATED NICKEL	45	8
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-Brand#43	PROMO ANODIZED BRASS	9	8
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-Brand#43	PROMO ANODIZED NICKEL	45	8
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-Brand#43	PROMO ANODIZED TIN	49	8
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-Brand#43	PROMO BRUSHED NICKEL	19	8
-Brand#43	PROMO BRUSHED STEEL	14	8
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-Brand#43	PROMO BURNISHED BRASS	49	8
-Brand#43	PROMO BURNISHED COPPER	14	8
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-Brand#43	PROMO BURNISHED STEEL	49	8
-Brand#43	PROMO BURNISHED TIN	9	8
-Brand#43	PROMO BURNISHED TIN	36	8
-Brand#43	PROMO BURNISHED TIN	49	8
-Brand#43	PROMO PLATED BRASS	14	8
-Brand#43	PROMO PLATED COPPER	45	8
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-Brand#43	PROMO PLATED STEEL	45	8
-Brand#43	PROMO PLATED TIN	23	8
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-Brand#43	PROMO POLISHED COPPER	3	8
-Brand#43	PROMO POLISHED COPPER	14	8
-Brand#43	PROMO POLISHED COPPER	36	8
-Brand#43	PROMO POLISHED NICKEL	14	8
-Brand#43	PROMO POLISHED NICKEL	19	8
-Brand#43	PROMO POLISHED STEEL	14	8
-Brand#43	PROMO POLISHED STEEL	23	8
-Brand#43	PROMO POLISHED TIN	3	8
-Brand#43	PROMO POLISHED TIN	36	8
-Brand#43	SMALL ANODIZED BRASS	19	8
-Brand#43	SMALL ANODIZED COPPER	14	8
-Brand#43	SMALL ANODIZED COPPER	19	8
-Brand#43	SMALL ANODIZED COPPER	49	8
-Brand#43	SMALL ANODIZED NICKEL	14	8
-Brand#43	SMALL ANODIZED NICKEL	45	8
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-Brand#43	SMALL BRUSHED NICKEL	49	8
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-Brand#43	SMALL BRUSHED TIN	3	8
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-Brand#43	SMALL BURNISHED STEEL	9	8
-Brand#43	SMALL BURNISHED STEEL	45	8
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-Brand#43	SMALL BURNISHED TIN	49	8
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-Brand#43	SMALL PLATED BRASS	45	8
-Brand#43	SMALL PLATED COPPER	45	8
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-Brand#43	SMALL PLATED NICKEL	23	8
-Brand#43	SMALL PLATED NICKEL	45	8
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-Brand#43	SMALL POLISHED COPPER	9	8
-Brand#43	SMALL POLISHED COPPER	19	8
-Brand#43	SMALL POLISHED NICKEL	3	8
-Brand#43	SMALL POLISHED NICKEL	36	8
-Brand#43	SMALL POLISHED STEEL	45	8
-Brand#43	SMALL POLISHED STEEL	49	8
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-Brand#43	STANDARD ANODIZED COPPER	9	8
-Brand#43	STANDARD ANODIZED COPPER	14	8
-Brand#43	STANDARD ANODIZED COPPER	49	8
-Brand#43	STANDARD ANODIZED NICKEL	49	8
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-Brand#43	STANDARD ANODIZED STEEL	14	8
-Brand#43	STANDARD ANODIZED STEEL	45	8
-Brand#43	STANDARD ANODIZED STEEL	49	8
-Brand#43	STANDARD ANODIZED TIN	14	8
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-Brand#43	STANDARD BRUSHED NICKEL	49	8
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-Brand#43	STANDARD BRUSHED TIN	45	8
-Brand#43	STANDARD BRUSHED TIN	49	8
-Brand#43	STANDARD BURNISHED BRASS	23	8
-Brand#43	STANDARD BURNISHED BRASS	49	8
-Brand#43	STANDARD BURNISHED COPPER	9	8
-Brand#43	STANDARD BURNISHED COPPER	14	8
-Brand#43	STANDARD BURNISHED COPPER	45	8
-Brand#43	STANDARD BURNISHED NICKEL	19	8
-Brand#43	STANDARD BURNISHED NICKEL	49	8
-Brand#43	STANDARD BURNISHED STEEL	9	8
-Brand#43	STANDARD BURNISHED STEEL	19	8
-Brand#43	STANDARD BURNISHED STEEL	45	8
-Brand#43	STANDARD BURNISHED TIN	19	8
-Brand#43	STANDARD PLATED COPPER	36	8
-Brand#43	STANDARD PLATED NICKEL	19	8
-Brand#43	STANDARD PLATED NICKEL	49	8
-Brand#43	STANDARD PLATED TIN	14	8
-Brand#43	STANDARD PLATED TIN	23	8
-Brand#43	STANDARD POLISHED BRASS	19	8
-Brand#43	STANDARD POLISHED COPPER	45	8
-Brand#43	STANDARD POLISHED NICKEL	3	8
-Brand#43	STANDARD POLISHED NICKEL	14	8
-Brand#43	STANDARD POLISHED NICKEL	23	8
-Brand#43	STANDARD POLISHED NICKEL	36	8
-Brand#43	STANDARD POLISHED NICKEL	45	8
-Brand#43	STANDARD POLISHED STEEL	14	8
-Brand#43	STANDARD POLISHED STEEL	49	8
-Brand#44	ECONOMY ANODIZED BRASS	3	8
-Brand#44	ECONOMY ANODIZED COPPER	23	8
-Brand#44	ECONOMY ANODIZED COPPER	49	8
-Brand#44	ECONOMY ANODIZED NICKEL	23	8
-Brand#44	ECONOMY ANODIZED STEEL	19	8
-Brand#44	ECONOMY ANODIZED STEEL	45	8
-Brand#44	ECONOMY ANODIZED TIN	14	8
-Brand#44	ECONOMY ANODIZED TIN	36	8
-Brand#44	ECONOMY BRUSHED COPPER	23	8
-Brand#44	ECONOMY BRUSHED STEEL	9	8
-Brand#44	ECONOMY BRUSHED STEEL	19	8
-Brand#44	ECONOMY BRUSHED TIN	19	8
-Brand#44	ECONOMY BRUSHED TIN	49	8
-Brand#44	ECONOMY BURNISHED COPPER	3	8
-Brand#44	ECONOMY BURNISHED COPPER	9	8
-Brand#44	ECONOMY BURNISHED COPPER	14	8
-Brand#44	ECONOMY BURNISHED COPPER	23	8
-Brand#44	ECONOMY BURNISHED COPPER	49	8
-Brand#44	ECONOMY BURNISHED NICKEL	23	8
-Brand#44	ECONOMY BURNISHED NICKEL	49	8
-Brand#44	ECONOMY BURNISHED STEEL	9	8
-Brand#44	ECONOMY BURNISHED STEEL	19	8
-Brand#44	ECONOMY BURNISHED STEEL	49	8
-Brand#44	ECONOMY BURNISHED TIN	3	8
-Brand#44	ECONOMY BURNISHED TIN	19	8
-Brand#44	ECONOMY BURNISHED TIN	45	8
-Brand#44	ECONOMY PLATED COPPER	45	8
-Brand#44	ECONOMY PLATED NICKEL	23	8
-Brand#44	ECONOMY PLATED STEEL	14	8
-Brand#44	ECONOMY PLATED STEEL	23	8
-Brand#44	ECONOMY PLATED STEEL	36	8
-Brand#44	ECONOMY PLATED TIN	19	8
-Brand#44	ECONOMY POLISHED BRASS	23	8
-Brand#44	ECONOMY POLISHED BRASS	36	8
-Brand#44	ECONOMY POLISHED COPPER	9	8
-Brand#44	ECONOMY POLISHED COPPER	19	8
-Brand#44	ECONOMY POLISHED NICKEL	23	8
-Brand#44	ECONOMY POLISHED NICKEL	36	8
-Brand#44	ECONOMY POLISHED NICKEL	45	8
-Brand#44	ECONOMY POLISHED NICKEL	49	8
-Brand#44	ECONOMY POLISHED STEEL	9	8
-Brand#44	ECONOMY POLISHED STEEL	49	8
-Brand#44	ECONOMY POLISHED TIN	3	8
-Brand#44	ECONOMY POLISHED TIN	19	8
-Brand#44	LARGE ANODIZED BRASS	3	8
-Brand#44	LARGE ANODIZED BRASS	23	8
-Brand#44	LARGE ANODIZED BRASS	49	8
-Brand#44	LARGE ANODIZED COPPER	9	8
-Brand#44	LARGE ANODIZED COPPER	45	8
-Brand#44	LARGE ANODIZED NICKEL	49	8
-Brand#44	LARGE ANODIZED STEEL	19	8
-Brand#44	LARGE ANODIZED TIN	14	8
-Brand#44	LARGE BRUSHED BRASS	14	8
-Brand#44	LARGE BRUSHED COPPER	14	8
-Brand#44	LARGE BRUSHED NICKEL	19	8
-Brand#44	LARGE BRUSHED NICKEL	23	8
-Brand#44	LARGE BRUSHED NICKEL	45	8
-Brand#44	LARGE BRUSHED TIN	23	8
-Brand#44	LARGE BURNISHED COPPER	9	8
-Brand#44	LARGE BURNISHED COPPER	19	8
-Brand#44	LARGE BURNISHED COPPER	23	8
-Brand#44	LARGE BURNISHED NICKEL	36	8
-Brand#44	LARGE BURNISHED NICKEL	49	8
-Brand#44	LARGE BURNISHED STEEL	23	8
-Brand#44	LARGE BURNISHED STEEL	49	8
-Brand#44	LARGE BURNISHED TIN	14	8
-Brand#44	LARGE PLATED BRASS	19	8
-Brand#44	LARGE PLATED COPPER	14	8
-Brand#44	LARGE PLATED COPPER	19	8
-Brand#44	LARGE PLATED NICKEL	9	8
-Brand#44	LARGE PLATED NICKEL	23	8
-Brand#44	LARGE PLATED STEEL	23	8
-Brand#44	LARGE PLATED TIN	14	8
-Brand#44	LARGE PLATED TIN	19	8
-Brand#44	LARGE PLATED TIN	36	8
-Brand#44	LARGE PLATED TIN	49	8
-Brand#44	LARGE POLISHED BRASS	9	8
-Brand#44	LARGE POLISHED BRASS	19	8
-Brand#44	LARGE POLISHED BRASS	23	8
-Brand#44	LARGE POLISHED COPPER	9	8
-Brand#44	LARGE POLISHED COPPER	49	8
-Brand#44	LARGE POLISHED NICKEL	23	8
-Brand#44	LARGE POLISHED NICKEL	36	8
-Brand#44	LARGE POLISHED STEEL	45	8
-Brand#44	LARGE POLISHED TIN	9	8
-Brand#44	MEDIUM ANODIZED BRASS	36	8
-Brand#44	MEDIUM ANODIZED COPPER	14	8
-Brand#44	MEDIUM ANODIZED COPPER	49	8
-Brand#44	MEDIUM ANODIZED NICKEL	19	8
-Brand#44	MEDIUM ANODIZED NICKEL	45	8
-Brand#44	MEDIUM ANODIZED STEEL	9	8
-Brand#44	MEDIUM ANODIZED STEEL	23	8
-Brand#44	MEDIUM ANODIZED TIN	45	8
-Brand#44	MEDIUM BRUSHED COPPER	14	8
-Brand#44	MEDIUM BRUSHED NICKEL	14	8
-Brand#44	MEDIUM BRUSHED STEEL	14	8
-Brand#44	MEDIUM BRUSHED STEEL	19	8
-Brand#44	MEDIUM BURNISHED BRASS	3	8
-Brand#44	MEDIUM BURNISHED BRASS	45	8
-Brand#44	MEDIUM BURNISHED COPPER	45	8
-Brand#44	MEDIUM BURNISHED NICKEL	3	8
-Brand#44	MEDIUM BURNISHED NICKEL	14	8
-Brand#44	MEDIUM BURNISHED STEEL	23	8
-Brand#44	MEDIUM BURNISHED TIN	19	8
-Brand#44	MEDIUM BURNISHED TIN	23	8
-Brand#44	MEDIUM PLATED BRASS	3	8
-Brand#44	MEDIUM PLATED BRASS	23	8
-Brand#44	MEDIUM PLATED COPPER	3	8
-Brand#44	MEDIUM PLATED NICKEL	23	8
-Brand#44	MEDIUM PLATED NICKEL	49	8
-Brand#44	PROMO ANODIZED BRASS	3	8
-Brand#44	PROMO ANODIZED BRASS	14	8
-Brand#44	PROMO ANODIZED BRASS	49	8
-Brand#44	PROMO ANODIZED COPPER	23	8
-Brand#44	PROMO ANODIZED NICKEL	23	8
-Brand#44	PROMO ANODIZED NICKEL	36	8
-Brand#44	PROMO ANODIZED STEEL	9	8
-Brand#44	PROMO ANODIZED STEEL	49	8
-Brand#44	PROMO BRUSHED BRASS	9	8
-Brand#44	PROMO BRUSHED COPPER	9	8
-Brand#44	PROMO BRUSHED COPPER	23	8
-Brand#44	PROMO BRUSHED COPPER	36	8
-Brand#44	PROMO BRUSHED NICKEL	23	8
-Brand#44	PROMO BRUSHED NICKEL	45	8
-Brand#44	PROMO BRUSHED STEEL	3	8
-Brand#44	PROMO BRUSHED STEEL	9	8
-Brand#44	PROMO BRUSHED STEEL	45	8
-Brand#44	PROMO BRUSHED STEEL	49	8
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-Brand#44	PROMO BRUSHED TIN	19	8
-Brand#44	PROMO BRUSHED TIN	45	8
-Brand#44	PROMO BURNISHED BRASS	36	8
-Brand#44	PROMO BURNISHED NICKEL	3	8
-Brand#44	PROMO BURNISHED STEEL	9	8
-Brand#44	PROMO BURNISHED STEEL	19	8
-Brand#44	PROMO BURNISHED STEEL	49	8
-Brand#44	PROMO PLATED BRASS	23	8
-Brand#44	PROMO PLATED NICKEL	9	8
-Brand#44	PROMO PLATED NICKEL	23	8
-Brand#44	PROMO PLATED STEEL	23	8
-Brand#44	PROMO PLATED STEEL	49	8
-Brand#44	PROMO PLATED TIN	14	8
-Brand#44	PROMO PLATED TIN	36	8
-Brand#44	PROMO POLISHED BRASS	36	8
-Brand#44	PROMO POLISHED COPPER	9	8
-Brand#44	PROMO POLISHED NICKEL	45	8
-Brand#44	PROMO POLISHED STEEL	9	8
-Brand#44	PROMO POLISHED STEEL	45	8
-Brand#44	PROMO POLISHED TIN	14	8
-Brand#44	PROMO POLISHED TIN	23	8
-Brand#44	PROMO POLISHED TIN	36	8
-Brand#44	PROMO POLISHED TIN	45	8
-Brand#44	PROMO POLISHED TIN	49	8
-Brand#44	SMALL ANODIZED BRASS	3	8
-Brand#44	SMALL ANODIZED BRASS	9	8
-Brand#44	SMALL ANODIZED BRASS	36	8
-Brand#44	SMALL ANODIZED COPPER	14	8
-Brand#44	SMALL ANODIZED COPPER	19	8
-Brand#44	SMALL ANODIZED COPPER	23	8
-Brand#44	SMALL ANODIZED NICKEL	23	8
-Brand#44	SMALL ANODIZED TIN	14	8
-Brand#44	SMALL ANODIZED TIN	19	8
-Brand#44	SMALL ANODIZED TIN	23	8
-Brand#44	SMALL ANODIZED TIN	45	8
-Brand#44	SMALL BRUSHED BRASS	14	8
-Brand#44	SMALL BRUSHED COPPER	23	8
-Brand#44	SMALL BRUSHED TIN	36	8
-Brand#44	SMALL BURNISHED BRASS	3	8
-Brand#44	SMALL BURNISHED BRASS	36	8
-Brand#44	SMALL BURNISHED BRASS	49	8
-Brand#44	SMALL BURNISHED NICKEL	14	8
-Brand#44	SMALL BURNISHED NICKEL	45	8
-Brand#44	SMALL BURNISHED TIN	9	8
-Brand#44	SMALL BURNISHED TIN	23	8
-Brand#44	SMALL BURNISHED TIN	49	8
-Brand#44	SMALL PLATED BRASS	36	8
-Brand#44	SMALL PLATED COPPER	14	8
-Brand#44	SMALL PLATED NICKEL	45	8
-Brand#44	SMALL PLATED NICKEL	49	8
-Brand#44	SMALL PLATED TIN	19	8
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-Brand#44	SMALL POLISHED COPPER	49	8
-Brand#44	SMALL POLISHED NICKEL	9	8
-Brand#44	SMALL POLISHED NICKEL	14	8
-Brand#44	SMALL POLISHED NICKEL	19	8
-Brand#44	SMALL POLISHED NICKEL	23	8
-Brand#44	SMALL POLISHED NICKEL	45	8
-Brand#44	SMALL POLISHED STEEL	3	8
-Brand#44	SMALL POLISHED TIN	3	8
-Brand#44	SMALL POLISHED TIN	14	8
-Brand#44	SMALL POLISHED TIN	19	8
-Brand#44	SMALL POLISHED TIN	23	8
-Brand#44	SMALL POLISHED TIN	45	8
-Brand#44	STANDARD ANODIZED COPPER	3	8
-Brand#44	STANDARD ANODIZED COPPER	19	8
-Brand#44	STANDARD ANODIZED STEEL	14	8
-Brand#44	STANDARD ANODIZED STEEL	45	8
-Brand#44	STANDARD ANODIZED TIN	23	8
-Brand#44	STANDARD ANODIZED TIN	36	8
-Brand#44	STANDARD BRUSHED BRASS	14	8
-Brand#44	STANDARD BRUSHED BRASS	45	8
-Brand#44	STANDARD BRUSHED COPPER	19	8
-Brand#44	STANDARD BRUSHED NICKEL	23	8
-Brand#44	STANDARD BRUSHED STEEL	23	8
-Brand#44	STANDARD BRUSHED STEEL	49	8
-Brand#44	STANDARD BRUSHED TIN	9	8
-Brand#44	STANDARD BRUSHED TIN	19	8
-Brand#44	STANDARD BRUSHED TIN	23	8
-Brand#44	STANDARD BURNISHED BRASS	9	8
-Brand#44	STANDARD BURNISHED BRASS	49	8
-Brand#44	STANDARD BURNISHED COPPER	45	8
-Brand#44	STANDARD BURNISHED NICKEL	19	8
-Brand#44	STANDARD BURNISHED NICKEL	23	8
-Brand#44	STANDARD BURNISHED STEEL	3	8
-Brand#44	STANDARD BURNISHED STEEL	14	8
-Brand#44	STANDARD BURNISHED STEEL	45	8
-Brand#44	STANDARD BURNISHED TIN	19	8
-Brand#44	STANDARD PLATED BRASS	9	8
-Brand#44	STANDARD PLATED BRASS	45	8
-Brand#44	STANDARD PLATED COPPER	9	8
-Brand#44	STANDARD PLATED COPPER	23	8
-Brand#44	STANDARD PLATED COPPER	49	8
-Brand#44	STANDARD PLATED NICKEL	14	8
-Brand#44	STANDARD PLATED NICKEL	19	8
-Brand#44	STANDARD PLATED TIN	19	8
-Brand#44	STANDARD PLATED TIN	49	8
-Brand#44	STANDARD POLISHED COPPER	14	8
-Brand#44	STANDARD POLISHED COPPER	19	8
-Brand#44	STANDARD POLISHED COPPER	45	8
-Brand#44	STANDARD POLISHED COPPER	49	8
-Brand#44	STANDARD POLISHED NICKEL	36	8
-Brand#44	STANDARD POLISHED TIN	9	8
-Brand#44	STANDARD POLISHED TIN	19	8
-Brand#51	ECONOMY ANODIZED BRASS	49	8
-Brand#51	ECONOMY ANODIZED COPPER	3	8
-Brand#51	ECONOMY ANODIZED NICKEL	3	8
-Brand#51	ECONOMY ANODIZED NICKEL	23	8
-Brand#51	ECONOMY ANODIZED STEEL	36	8
-Brand#51	ECONOMY ANODIZED STEEL	45	8
-Brand#51	ECONOMY ANODIZED STEEL	49	8
-Brand#51	ECONOMY ANODIZED TIN	23	8
-Brand#51	ECONOMY BRUSHED BRASS	3	8
-Brand#51	ECONOMY BRUSHED COPPER	36	8
-Brand#51	ECONOMY BRUSHED COPPER	45	8
-Brand#51	ECONOMY BRUSHED NICKEL	14	8
-Brand#51	ECONOMY BRUSHED NICKEL	19	8
-Brand#51	ECONOMY BRUSHED STEEL	9	8
-Brand#51	ECONOMY BRUSHED STEEL	14	8
-Brand#51	ECONOMY BRUSHED STEEL	49	8
-Brand#51	ECONOMY BRUSHED TIN	19	8
-Brand#51	ECONOMY BURNISHED BRASS	14	8
-Brand#51	ECONOMY BURNISHED STEEL	14	8
-Brand#51	ECONOMY BURNISHED STEEL	19	8
-Brand#51	ECONOMY BURNISHED STEEL	36	8
-Brand#51	ECONOMY BURNISHED TIN	14	8
-Brand#51	ECONOMY BURNISHED TIN	45	8
-Brand#51	ECONOMY PLATED BRASS	3	8
-Brand#51	ECONOMY PLATED BRASS	23	8
-Brand#51	ECONOMY PLATED BRASS	36	8
-Brand#51	ECONOMY PLATED COPPER	49	8
-Brand#51	ECONOMY PLATED NICKEL	9	8
-Brand#51	ECONOMY PLATED NICKEL	14	8
-Brand#51	ECONOMY PLATED NICKEL	49	8
-Brand#51	ECONOMY PLATED TIN	36	8
-Brand#51	ECONOMY PLATED TIN	49	8
-Brand#51	ECONOMY POLISHED BRASS	14	8
-Brand#51	ECONOMY POLISHED BRASS	36	8
-Brand#51	ECONOMY POLISHED BRASS	49	8
-Brand#51	ECONOMY POLISHED COPPER	9	8
-Brand#51	ECONOMY POLISHED NICKEL	19	8
-Brand#51	ECONOMY POLISHED NICKEL	36	8
-Brand#51	ECONOMY POLISHED STEEL	3	8
-Brand#51	ECONOMY POLISHED STEEL	9	8
-Brand#51	ECONOMY POLISHED STEEL	14	8
-Brand#51	ECONOMY POLISHED STEEL	36	8
-Brand#51	ECONOMY POLISHED TIN	14	8
-Brand#51	ECONOMY POLISHED TIN	19	8
-Brand#51	LARGE ANODIZED BRASS	19	8
-Brand#51	LARGE ANODIZED BRASS	23	8
-Brand#51	LARGE ANODIZED COPPER	36	8
-Brand#51	LARGE ANODIZED COPPER	49	8
-Brand#51	LARGE ANODIZED NICKEL	14	8
-Brand#51	LARGE ANODIZED NICKEL	45	8
-Brand#51	LARGE ANODIZED STEEL	45	8
-Brand#51	LARGE ANODIZED TIN	19	8
-Brand#51	LARGE BRUSHED BRASS	9	8
-Brand#51	LARGE BRUSHED BRASS	23	8
-Brand#51	LARGE BRUSHED COPPER	23	8
-Brand#51	LARGE BRUSHED COPPER	49	8
-Brand#51	LARGE BRUSHED NICKEL	9	8
-Brand#51	LARGE BRUSHED NICKEL	19	8
-Brand#51	LARGE BRUSHED NICKEL	45	8
-Brand#51	LARGE BURNISHED BRASS	3	8
-Brand#51	LARGE BURNISHED BRASS	14	8
-Brand#51	LARGE BURNISHED BRASS	36	8
-Brand#51	LARGE BURNISHED NICKEL	23	8
-Brand#51	LARGE BURNISHED STEEL	9	8
-Brand#51	LARGE BURNISHED STEEL	36	8
-Brand#51	LARGE PLATED BRASS	23	8
-Brand#51	LARGE PLATED COPPER	49	8
-Brand#51	LARGE PLATED NICKEL	3	8
-Brand#51	LARGE PLATED NICKEL	36	8
-Brand#51	LARGE PLATED STEEL	3	8
-Brand#51	LARGE PLATED TIN	9	8
-Brand#51	LARGE PLATED TIN	36	8
-Brand#51	LARGE POLISHED BRASS	9	8
-Brand#51	LARGE POLISHED COPPER	14	8
-Brand#51	LARGE POLISHED COPPER	45	8
-Brand#51	LARGE POLISHED NICKEL	14	8
-Brand#51	LARGE POLISHED STEEL	3	8
-Brand#51	LARGE POLISHED TIN	14	8
-Brand#51	LARGE POLISHED TIN	23	8
-Brand#51	MEDIUM ANODIZED BRASS	23	8
-Brand#51	MEDIUM ANODIZED BRASS	49	8
-Brand#51	MEDIUM ANODIZED COPPER	9	8
-Brand#51	MEDIUM ANODIZED COPPER	45	8
-Brand#51	MEDIUM ANODIZED NICKEL	9	8
-Brand#51	MEDIUM ANODIZED NICKEL	14	8
-Brand#51	MEDIUM ANODIZED NICKEL	36	8
-Brand#51	MEDIUM ANODIZED STEEL	3	8
-Brand#51	MEDIUM ANODIZED STEEL	36	8
-Brand#51	MEDIUM ANODIZED TIN	3	8
-Brand#51	MEDIUM ANODIZED TIN	19	8
-Brand#51	MEDIUM BRUSHED COPPER	3	8
-Brand#51	MEDIUM BRUSHED COPPER	45	8
-Brand#51	MEDIUM BRUSHED NICKEL	14	8
-Brand#51	MEDIUM BURNISHED BRASS	9	8
-Brand#51	MEDIUM BURNISHED COPPER	3	8
-Brand#51	MEDIUM BURNISHED COPPER	9	8
-Brand#51	MEDIUM BURNISHED COPPER	19	8
-Brand#51	MEDIUM BURNISHED NICKEL	9	8
-Brand#51	MEDIUM BURNISHED NICKEL	23	8
-Brand#51	MEDIUM BURNISHED NICKEL	36	8
-Brand#51	MEDIUM BURNISHED STEEL	14	8
-Brand#51	MEDIUM BURNISHED STEEL	49	8
-Brand#51	MEDIUM BURNISHED TIN	9	8
-Brand#51	MEDIUM BURNISHED TIN	49	8
-Brand#51	MEDIUM PLATED BRASS	49	8
-Brand#51	MEDIUM PLATED COPPER	9	8
-Brand#51	MEDIUM PLATED COPPER	19	8
-Brand#51	MEDIUM PLATED NICKEL	3	8
-Brand#51	MEDIUM PLATED NICKEL	9	8
-Brand#51	MEDIUM PLATED STEEL	9	8
-Brand#51	MEDIUM PLATED STEEL	49	8
-Brand#51	PROMO ANODIZED COPPER	49	8
-Brand#51	PROMO ANODIZED NICKEL	19	8
-Brand#51	PROMO ANODIZED TIN	14	8
-Brand#51	PROMO ANODIZED TIN	19	8
-Brand#51	PROMO BRUSHED BRASS	19	8
-Brand#51	PROMO BRUSHED NICKEL	9	8
-Brand#51	PROMO BRUSHED NICKEL	14	8
-Brand#51	PROMO BRUSHED STEEL	49	8
-Brand#51	PROMO BRUSHED TIN	45	8
-Brand#51	PROMO BURNISHED BRASS	3	8
-Brand#51	PROMO BURNISHED BRASS	19	8
-Brand#51	PROMO BURNISHED BRASS	23	8
-Brand#51	PROMO BURNISHED NICKEL	3	8
-Brand#51	PROMO BURNISHED STEEL	14	8
-Brand#51	PROMO BURNISHED TIN	3	8
-Brand#51	PROMO BURNISHED TIN	36	8
-Brand#51	PROMO BURNISHED TIN	45	8
-Brand#51	PROMO PLATED BRASS	19	8
-Brand#51	PROMO PLATED BRASS	49	8
-Brand#51	PROMO PLATED COPPER	19	8
-Brand#51	PROMO PLATED NICKEL	23	8
-Brand#51	PROMO PLATED STEEL	3	8
-Brand#51	PROMO PLATED STEEL	23	8
-Brand#51	PROMO PLATED STEEL	49	8
-Brand#51	PROMO PLATED TIN	3	8
-Brand#51	PROMO PLATED TIN	19	8
-Brand#51	PROMO POLISHED BRASS	3	8
-Brand#51	PROMO POLISHED BRASS	9	8
-Brand#51	PROMO POLISHED BRASS	19	8
-Brand#51	PROMO POLISHED BRASS	23	8
-Brand#51	PROMO POLISHED COPPER	9	8
-Brand#51	PROMO POLISHED COPPER	14	8
-Brand#51	PROMO POLISHED STEEL	36	8
-Brand#51	PROMO POLISHED STEEL	45	8
-Brand#51	SMALL ANODIZED BRASS	9	8
-Brand#51	SMALL ANODIZED COPPER	49	8
-Brand#51	SMALL ANODIZED NICKEL	14	8
-Brand#51	SMALL ANODIZED STEEL	3	8
-Brand#51	SMALL ANODIZED STEEL	14	8
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-Brand#51	STANDARD BURNISHED NICKEL	23	8
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-Brand#51	STANDARD POLISHED COPPER	49	8
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-Brand#51	STANDARD POLISHED NICKEL	49	8
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-Brand#51	STANDARD POLISHED STEEL	49	8
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-Brand#52	ECONOMY PLATED BRASS	14	8
-Brand#52	ECONOMY PLATED BRASS	23	8
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-Brand#52	ECONOMY PLATED COPPER	49	8
-Brand#52	ECONOMY PLATED NICKEL	3	8
-Brand#52	ECONOMY PLATED NICKEL	49	8
-Brand#52	ECONOMY PLATED STEEL	3	8
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-Brand#52	ECONOMY POLISHED BRASS	45	8
-Brand#52	ECONOMY POLISHED BRASS	49	8
-Brand#52	ECONOMY POLISHED NICKEL	19	8
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-Brand#52	ECONOMY POLISHED NICKEL	45	8
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-Brand#52	ECONOMY POLISHED STEEL	45	8
-Brand#52	ECONOMY POLISHED STEEL	49	8
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-Brand#52	LARGE ANODIZED STEEL	36	8
-Brand#52	LARGE ANODIZED STEEL	45	8
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-Brand#52	LARGE BURNISHED BRASS	49	8
-Brand#52	LARGE BURNISHED COPPER	3	8
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-Brand#52	MEDIUM ANODIZED COPPER	49	8
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-Brand#52	PROMO PLATED BRASS	49	8
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-Brand#52	STANDARD ANODIZED COPPER	45	8
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-Brand#52	STANDARD ANODIZED STEEL	49	8
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-Brand#52	STANDARD BURNISHED BRASS	49	8
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-Brand#52	STANDARD BURNISHED COPPER	23	8
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-Brand#52	STANDARD BURNISHED TIN	19	8
-Brand#52	STANDARD PLATED BRASS	49	8
-Brand#52	STANDARD PLATED STEEL	14	8
-Brand#52	STANDARD PLATED STEEL	36	8
-Brand#52	STANDARD POLISHED BRASS	3	8
-Brand#52	STANDARD POLISHED BRASS	9	8
-Brand#52	STANDARD POLISHED BRASS	49	8
-Brand#52	STANDARD POLISHED COPPER	9	8
-Brand#52	STANDARD POLISHED COPPER	14	8
-Brand#52	STANDARD POLISHED NICKEL	45	8
-Brand#52	STANDARD POLISHED STEEL	45	8
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-Brand#53	ECONOMY ANODIZED BRASS	9	8
-Brand#53	ECONOMY ANODIZED BRASS	36	8
-Brand#53	ECONOMY ANODIZED BRASS	45	8
-Brand#53	ECONOMY ANODIZED COPPER	45	8
-Brand#53	ECONOMY ANODIZED NICKEL	19	8
-Brand#53	ECONOMY ANODIZED STEEL	45	8
-Brand#53	ECONOMY ANODIZED TIN	14	8
-Brand#53	ECONOMY ANODIZED TIN	36	8
-Brand#53	ECONOMY BRUSHED COPPER	3	8
-Brand#53	ECONOMY BRUSHED NICKEL	23	8
-Brand#53	ECONOMY BRUSHED STEEL	23	8
-Brand#53	ECONOMY BRUSHED STEEL	49	8
-Brand#53	ECONOMY BRUSHED TIN	3	8
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-Brand#53	ECONOMY BURNISHED BRASS	45	8
-Brand#53	ECONOMY BURNISHED COPPER	9	8
-Brand#53	ECONOMY BURNISHED COPPER	14	8
-Brand#53	ECONOMY BURNISHED COPPER	19	8
-Brand#53	ECONOMY BURNISHED NICKEL	3	8
-Brand#53	ECONOMY BURNISHED NICKEL	14	8
-Brand#53	ECONOMY BURNISHED NICKEL	36	8
-Brand#53	ECONOMY BURNISHED NICKEL	45	8
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-Brand#53	ECONOMY BURNISHED STEEL	23	8
-Brand#53	ECONOMY BURNISHED STEEL	36	8
-Brand#53	ECONOMY BURNISHED TIN	3	8
-Brand#53	ECONOMY BURNISHED TIN	49	8
-Brand#53	ECONOMY PLATED BRASS	14	8
-Brand#53	ECONOMY PLATED BRASS	19	8
-Brand#53	ECONOMY PLATED COPPER	3	8
-Brand#53	ECONOMY PLATED TIN	19	8
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-Brand#53	ECONOMY POLISHED COPPER	19	8
-Brand#53	ECONOMY POLISHED NICKEL	36	8
-Brand#53	ECONOMY POLISHED STEEL	3	8
-Brand#53	ECONOMY POLISHED STEEL	9	8
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-Brand#53	LARGE ANODIZED BRASS	45	8
-Brand#53	LARGE ANODIZED STEEL	45	8
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-Brand#53	LARGE ANODIZED TIN	45	8
-Brand#53	LARGE ANODIZED TIN	49	8
-Brand#53	LARGE BRUSHED COPPER	19	8
-Brand#53	LARGE BRUSHED COPPER	45	8
-Brand#53	LARGE BRUSHED STEEL	9	8
-Brand#53	LARGE BRUSHED STEEL	45	8
-Brand#53	LARGE BRUSHED TIN	3	8
-Brand#53	LARGE BRUSHED TIN	9	8
-Brand#53	LARGE BRUSHED TIN	36	8
-Brand#53	LARGE BURNISHED BRASS	3	8
-Brand#53	LARGE BURNISHED NICKEL	14	8
-Brand#53	LARGE BURNISHED NICKEL	23	8
-Brand#53	LARGE BURNISHED STEEL	3	8
-Brand#53	LARGE BURNISHED STEEL	19	8
-Brand#53	LARGE BURNISHED STEEL	23	8
-Brand#53	LARGE BURNISHED STEEL	45	8
-Brand#53	LARGE BURNISHED TIN	9	8
-Brand#53	LARGE PLATED BRASS	9	8
-Brand#53	LARGE PLATED BRASS	49	8
-Brand#53	LARGE PLATED NICKEL	49	8
-Brand#53	LARGE PLATED STEEL	45	8
-Brand#53	LARGE PLATED TIN	23	8
-Brand#53	LARGE POLISHED BRASS	3	8
-Brand#53	LARGE POLISHED BRASS	23	8
-Brand#53	LARGE POLISHED COPPER	23	8
-Brand#53	LARGE POLISHED NICKEL	3	8
-Brand#53	LARGE POLISHED NICKEL	14	8
-Brand#53	LARGE POLISHED NICKEL	23	8
-Brand#53	LARGE POLISHED STEEL	3	8
-Brand#53	LARGE POLISHED STEEL	23	8
-Brand#53	LARGE POLISHED TIN	9	8
-Brand#53	LARGE POLISHED TIN	49	8
-Brand#53	MEDIUM ANODIZED BRASS	3	8
-Brand#53	MEDIUM ANODIZED COPPER	9	8
-Brand#53	MEDIUM ANODIZED COPPER	45	8
-Brand#53	MEDIUM ANODIZED STEEL	9	8
-Brand#53	MEDIUM ANODIZED STEEL	23	8
-Brand#53	MEDIUM ANODIZED STEEL	36	8
-Brand#53	MEDIUM ANODIZED TIN	3	8
-Brand#53	MEDIUM BRUSHED COPPER	9	8
-Brand#53	MEDIUM BRUSHED COPPER	36	8
-Brand#53	MEDIUM BRUSHED NICKEL	14	8
-Brand#53	MEDIUM BRUSHED NICKEL	23	8
-Brand#53	MEDIUM BRUSHED STEEL	45	8
-Brand#53	MEDIUM BRUSHED TIN	9	8
-Brand#53	MEDIUM BURNISHED COPPER	3	8
-Brand#53	MEDIUM BURNISHED COPPER	14	8
-Brand#53	MEDIUM BURNISHED COPPER	45	8
-Brand#53	MEDIUM BURNISHED NICKEL	19	8
-Brand#53	MEDIUM BURNISHED NICKEL	36	8
-Brand#53	MEDIUM BURNISHED STEEL	14	8
-Brand#53	MEDIUM BURNISHED STEEL	49	8
-Brand#53	MEDIUM BURNISHED TIN	9	8
-Brand#53	MEDIUM BURNISHED TIN	14	8
-Brand#53	MEDIUM PLATED BRASS	9	8
-Brand#53	MEDIUM PLATED BRASS	19	8
-Brand#53	MEDIUM PLATED NICKEL	23	8
-Brand#53	MEDIUM PLATED NICKEL	36	8
-Brand#53	MEDIUM PLATED NICKEL	45	8
-Brand#53	MEDIUM PLATED STEEL	19	8
-Brand#53	MEDIUM PLATED STEEL	45	8
-Brand#53	PROMO ANODIZED BRASS	19	8
-Brand#53	PROMO ANODIZED BRASS	23	8
-Brand#53	PROMO ANODIZED BRASS	36	8
-Brand#53	PROMO ANODIZED COPPER	3	8
-Brand#53	PROMO ANODIZED COPPER	9	8
-Brand#53	PROMO ANODIZED NICKEL	36	8
-Brand#53	PROMO ANODIZED STEEL	3	8
-Brand#53	PROMO ANODIZED STEEL	14	8
-Brand#53	PROMO ANODIZED TIN	19	8
-Brand#53	PROMO ANODIZED TIN	49	8
-Brand#53	PROMO BRUSHED BRASS	45	8
-Brand#53	PROMO BRUSHED COPPER	9	8
-Brand#53	PROMO BRUSHED COPPER	14	8
-Brand#53	PROMO BRUSHED NICKEL	14	8
-Brand#53	PROMO BRUSHED NICKEL	49	8
-Brand#53	PROMO BRUSHED STEEL	3	8
-Brand#53	PROMO BRUSHED TIN	23	8
-Brand#53	PROMO BURNISHED BRASS	14	8
-Brand#53	PROMO BURNISHED BRASS	23	8
-Brand#53	PROMO BURNISHED BRASS	36	8
-Brand#53	PROMO BURNISHED COPPER	14	8
-Brand#53	PROMO BURNISHED NICKEL	14	8
-Brand#53	PROMO BURNISHED STEEL	23	8
-Brand#53	PROMO BURNISHED TIN	3	8
-Brand#53	PROMO BURNISHED TIN	9	8
-Brand#53	PROMO BURNISHED TIN	19	8
-Brand#53	PROMO BURNISHED TIN	45	8
-Brand#53	PROMO PLATED BRASS	45	8
-Brand#53	PROMO PLATED BRASS	49	8
-Brand#53	PROMO PLATED COPPER	23	8
-Brand#53	PROMO PLATED COPPER	45	8
-Brand#53	PROMO PLATED COPPER	49	8
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-Brand#53	PROMO POLISHED BRASS	19	8
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-Brand#53	PROMO POLISHED NICKEL	45	8
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-Brand#53	SMALL ANODIZED BRASS	45	8
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-Brand#53	SMALL ANODIZED COPPER	23	8
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-Brand#53	SMALL ANODIZED NICKEL	19	8
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-Brand#53	SMALL BRUSHED TIN	14	8
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-Brand#53	SMALL BRUSHED TIN	49	8
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-Brand#53	SMALL BURNISHED BRASS	49	8
-Brand#53	SMALL BURNISHED COPPER	19	8
-Brand#53	SMALL BURNISHED COPPER	23	8
-Brand#53	SMALL BURNISHED COPPER	36	8
-Brand#53	SMALL BURNISHED COPPER	45	8
-Brand#53	SMALL BURNISHED COPPER	49	8
-Brand#53	SMALL BURNISHED NICKEL	14	8
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-Brand#53	SMALL BURNISHED STEEL	36	8
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-Brand#53	SMALL BURNISHED TIN	23	8
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-Brand#53	STANDARD ANODIZED BRASS	23	8
-Brand#53	STANDARD ANODIZED BRASS	45	8
-Brand#53	STANDARD ANODIZED COPPER	36	8
-Brand#53	STANDARD ANODIZED NICKEL	9	8
-Brand#53	STANDARD ANODIZED NICKEL	19	8
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-Brand#53	STANDARD ANODIZED STEEL	19	8
-Brand#53	STANDARD ANODIZED STEEL	45	8
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-Brand#53	STANDARD ANODIZED TIN	49	8
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-Brand#53	STANDARD BRUSHED BRASS	19	8
-Brand#53	STANDARD BRUSHED COPPER	49	8
-Brand#53	STANDARD BRUSHED NICKEL	36	8
-Brand#53	STANDARD BRUSHED NICKEL	45	8
-Brand#53	STANDARD BRUSHED NICKEL	49	8
-Brand#53	STANDARD BRUSHED STEEL	23	8
-Brand#53	STANDARD BURNISHED BRASS	19	8
-Brand#53	STANDARD BURNISHED BRASS	49	8
-Brand#53	STANDARD BURNISHED COPPER	3	8
-Brand#53	STANDARD BURNISHED COPPER	23	8
-Brand#53	STANDARD BURNISHED COPPER	45	8
-Brand#53	STANDARD BURNISHED NICKEL	49	8
-Brand#53	STANDARD BURNISHED STEEL	19	8
-Brand#53	STANDARD BURNISHED STEEL	23	8
-Brand#53	STANDARD BURNISHED TIN	3	8
-Brand#53	STANDARD BURNISHED TIN	14	8
-Brand#53	STANDARD BURNISHED TIN	19	8
-Brand#53	STANDARD BURNISHED TIN	36	8
-Brand#53	STANDARD PLATED BRASS	19	8
-Brand#53	STANDARD PLATED COPPER	3	8
-Brand#53	STANDARD PLATED NICKEL	14	8
-Brand#53	STANDARD PLATED NICKEL	36	8
-Brand#53	STANDARD PLATED STEEL	14	8
-Brand#53	STANDARD PLATED STEEL	23	8
-Brand#53	STANDARD PLATED STEEL	45	8
-Brand#53	STANDARD PLATED TIN	9	8
-Brand#53	STANDARD PLATED TIN	14	8
-Brand#53	STANDARD PLATED TIN	19	8
-Brand#53	STANDARD PLATED TIN	23	8
-Brand#53	STANDARD POLISHED BRASS	36	8
-Brand#53	STANDARD POLISHED NICKEL	3	8
-Brand#53	STANDARD POLISHED NICKEL	36	8
-Brand#53	STANDARD POLISHED NICKEL	49	8
-Brand#53	STANDARD POLISHED TIN	9	8
-Brand#54	ECONOMY ANODIZED NICKEL	9	8
-Brand#54	ECONOMY ANODIZED NICKEL	23	8
-Brand#54	ECONOMY ANODIZED STEEL	19	8
-Brand#54	ECONOMY ANODIZED STEEL	23	8
-Brand#54	ECONOMY ANODIZED TIN	3	8
-Brand#54	ECONOMY ANODIZED TIN	45	8
-Brand#54	ECONOMY BRUSHED BRASS	14	8
-Brand#54	ECONOMY BRUSHED BRASS	19	8
-Brand#54	ECONOMY BRUSHED BRASS	23	8
-Brand#54	ECONOMY BRUSHED COPPER	9	8
-Brand#54	ECONOMY BRUSHED COPPER	45	8
-Brand#54	ECONOMY BRUSHED NICKEL	9	8
-Brand#54	ECONOMY BRUSHED NICKEL	23	8
-Brand#54	ECONOMY BRUSHED NICKEL	36	8
-Brand#54	ECONOMY BRUSHED NICKEL	49	8
-Brand#54	ECONOMY BRUSHED STEEL	3	8
-Brand#54	ECONOMY BRUSHED STEEL	14	8
-Brand#54	ECONOMY BURNISHED COPPER	9	8
-Brand#54	ECONOMY BURNISHED COPPER	36	8
-Brand#54	ECONOMY BURNISHED NICKEL	36	8
-Brand#54	ECONOMY BURNISHED STEEL	14	8
-Brand#54	ECONOMY BURNISHED STEEL	36	8
-Brand#54	ECONOMY BURNISHED TIN	9	8
-Brand#54	ECONOMY BURNISHED TIN	14	8
-Brand#54	ECONOMY BURNISHED TIN	23	8
-Brand#54	ECONOMY PLATED COPPER	14	8
-Brand#54	ECONOMY PLATED COPPER	19	8
-Brand#54	ECONOMY PLATED NICKEL	23	8
-Brand#54	ECONOMY PLATED NICKEL	45	8
-Brand#54	ECONOMY PLATED STEEL	3	8
-Brand#54	ECONOMY PLATED STEEL	19	8
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-Brand#54	ECONOMY POLISHED BRASS	36	8
-Brand#54	ECONOMY POLISHED BRASS	49	8
-Brand#54	ECONOMY POLISHED COPPER	9	8
-Brand#54	ECONOMY POLISHED COPPER	19	8
-Brand#54	ECONOMY POLISHED COPPER	23	8
-Brand#54	ECONOMY POLISHED COPPER	45	8
-Brand#54	ECONOMY POLISHED STEEL	14	8
-Brand#54	ECONOMY POLISHED STEEL	19	8
-Brand#54	ECONOMY POLISHED STEEL	23	8
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-Brand#54	LARGE ANODIZED COPPER	45	8
-Brand#54	LARGE ANODIZED STEEL	9	8
-Brand#54	LARGE ANODIZED STEEL	14	8
-Brand#54	LARGE ANODIZED TIN	23	8
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-Brand#54	LARGE BRUSHED BRASS	14	8
-Brand#54	LARGE BRUSHED BRASS	45	8
-Brand#54	LARGE BRUSHED COPPER	14	8
-Brand#54	LARGE BRUSHED COPPER	45	8
-Brand#54	LARGE BRUSHED NICKEL	3	8
-Brand#54	LARGE BRUSHED STEEL	36	8
-Brand#54	LARGE BRUSHED STEEL	49	8
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-Brand#54	LARGE BURNISHED COPPER	49	8
-Brand#54	LARGE BURNISHED NICKEL	23	8
-Brand#54	LARGE BURNISHED NICKEL	49	8
-Brand#54	LARGE BURNISHED STEEL	49	8
-Brand#54	LARGE BURNISHED TIN	14	8
-Brand#54	LARGE BURNISHED TIN	49	8
-Brand#54	LARGE PLATED BRASS	23	8
-Brand#54	LARGE PLATED BRASS	45	8
-Brand#54	LARGE PLATED COPPER	49	8
-Brand#54	LARGE PLATED STEEL	3	8
-Brand#54	LARGE PLATED STEEL	9	8
-Brand#54	LARGE PLATED STEEL	19	8
-Brand#54	LARGE PLATED STEEL	36	8
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-Brand#54	LARGE POLISHED COPPER	45	8
-Brand#54	LARGE POLISHED NICKEL	14	8
-Brand#54	LARGE POLISHED STEEL	3	8
-Brand#54	LARGE POLISHED STEEL	14	8
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-Brand#54	MEDIUM ANODIZED BRASS	36	8
-Brand#54	MEDIUM ANODIZED BRASS	49	8
-Brand#54	MEDIUM ANODIZED COPPER	23	8
-Brand#54	MEDIUM ANODIZED NICKEL	3	8
-Brand#54	MEDIUM ANODIZED NICKEL	14	8
-Brand#54	MEDIUM ANODIZED NICKEL	19	8
-Brand#54	MEDIUM ANODIZED NICKEL	36	8
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-Brand#54	MEDIUM BRUSHED BRASS	45	8
-Brand#54	MEDIUM BRUSHED COPPER	14	8
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-Brand#54	MEDIUM BRUSHED COPPER	23	8
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-Brand#54	MEDIUM BRUSHED STEEL	45	8
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-Brand#54	MEDIUM BRUSHED TIN	49	8
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-Brand#54	MEDIUM BURNISHED BRASS	49	8
-Brand#54	MEDIUM BURNISHED COPPER	3	8
-Brand#54	MEDIUM BURNISHED COPPER	36	8
-Brand#54	MEDIUM BURNISHED COPPER	45	8
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-Brand#54	MEDIUM BURNISHED STEEL	19	8
-Brand#54	MEDIUM BURNISHED TIN	9	8
-Brand#54	MEDIUM BURNISHED TIN	19	8
-Brand#54	MEDIUM BURNISHED TIN	36	8
-Brand#54	MEDIUM PLATED BRASS	3	8
-Brand#54	MEDIUM PLATED BRASS	23	8
-Brand#54	MEDIUM PLATED COPPER	9	8
-Brand#54	MEDIUM PLATED COPPER	45	8
-Brand#54	MEDIUM PLATED COPPER	49	8
-Brand#54	MEDIUM PLATED NICKEL	45	8
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-Brand#54	PROMO ANODIZED BRASS	14	8
-Brand#54	PROMO ANODIZED BRASS	23	8
-Brand#54	PROMO ANODIZED BRASS	36	8
-Brand#54	PROMO ANODIZED COPPER	23	8
-Brand#54	PROMO ANODIZED STEEL	36	8
-Brand#54	PROMO ANODIZED TIN	19	8
-Brand#54	PROMO BRUSHED BRASS	23	8
-Brand#54	PROMO BRUSHED BRASS	49	8
-Brand#54	PROMO BRUSHED COPPER	3	8
-Brand#54	PROMO BRUSHED COPPER	45	8
-Brand#54	PROMO BRUSHED NICKEL	3	8
-Brand#54	PROMO BRUSHED NICKEL	23	8
-Brand#54	PROMO BRUSHED STEEL	36	8
-Brand#54	PROMO BRUSHED STEEL	49	8
-Brand#54	PROMO BRUSHED TIN	45	8
-Brand#54	PROMO BURNISHED COPPER	14	8
-Brand#54	PROMO BURNISHED NICKEL	19	8
-Brand#54	PROMO BURNISHED NICKEL	49	8
-Brand#54	PROMO BURNISHED STEEL	3	8
-Brand#54	PROMO BURNISHED TIN	3	8
-Brand#54	PROMO BURNISHED TIN	14	8
-Brand#54	PROMO BURNISHED TIN	45	8
-Brand#54	PROMO PLATED COPPER	36	8
-Brand#54	PROMO PLATED COPPER	45	8
-Brand#54	PROMO PLATED COPPER	49	8
-Brand#54	PROMO PLATED NICKEL	3	8
-Brand#54	PROMO PLATED NICKEL	14	8
-Brand#54	PROMO PLATED NICKEL	19	8
-Brand#54	PROMO PLATED STEEL	45	8
-Brand#54	PROMO PLATED TIN	14	8
-Brand#54	PROMO PLATED TIN	23	8
-Brand#54	PROMO POLISHED BRASS	14	8
-Brand#54	PROMO POLISHED BRASS	36	8
-Brand#54	PROMO POLISHED COPPER	14	8
-Brand#54	PROMO POLISHED COPPER	23	8
-Brand#54	PROMO POLISHED NICKEL	14	8
-Brand#54	PROMO POLISHED NICKEL	19	8
-Brand#54	PROMO POLISHED NICKEL	23	8
-Brand#54	PROMO POLISHED STEEL	23	8
-Brand#54	PROMO POLISHED STEEL	36	8
-Brand#54	PROMO POLISHED TIN	49	8
-Brand#54	SMALL ANODIZED BRASS	19	8
-Brand#54	SMALL ANODIZED COPPER	23	8
-Brand#54	SMALL ANODIZED COPPER	45	8
-Brand#54	SMALL ANODIZED NICKEL	14	8
-Brand#54	SMALL ANODIZED STEEL	9	8
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-Brand#54	SMALL BRUSHED BRASS	49	8
-Brand#54	SMALL BRUSHED COPPER	45	8
-Brand#54	SMALL BRUSHED TIN	19	8
-Brand#54	SMALL BRUSHED TIN	36	8
-Brand#54	SMALL BURNISHED BRASS	9	8
-Brand#54	SMALL BURNISHED BRASS	14	8
-Brand#54	SMALL BURNISHED COPPER	3	8
-Brand#54	SMALL BURNISHED COPPER	14	8
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-Brand#54	SMALL BURNISHED TIN	23	8
-Brand#54	SMALL BURNISHED TIN	49	8
-Brand#54	SMALL PLATED COPPER	14	8
-Brand#54	SMALL PLATED COPPER	23	8
-Brand#54	SMALL PLATED COPPER	45	8
-Brand#54	SMALL PLATED NICKEL	14	8
-Brand#54	SMALL PLATED STEEL	49	8
-Brand#54	SMALL PLATED TIN	14	8
-Brand#54	SMALL PLATED TIN	23	8
-Brand#54	SMALL PLATED TIN	36	8
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-Brand#54	SMALL POLISHED BRASS	36	8
-Brand#54	SMALL POLISHED COPPER	3	8
-Brand#54	SMALL POLISHED COPPER	49	8
-Brand#54	SMALL POLISHED NICKEL	3	8
-Brand#54	SMALL POLISHED NICKEL	14	8
-Brand#54	SMALL POLISHED NICKEL	23	8
-Brand#54	SMALL POLISHED STEEL	3	8
-Brand#54	SMALL POLISHED STEEL	23	8
-Brand#54	SMALL POLISHED TIN	45	8
-Brand#54	STANDARD ANODIZED BRASS	9	8
-Brand#54	STANDARD ANODIZED BRASS	45	8
-Brand#54	STANDARD ANODIZED COPPER	9	8
-Brand#54	STANDARD ANODIZED COPPER	23	8
-Brand#54	STANDARD ANODIZED STEEL	3	8
-Brand#54	STANDARD ANODIZED STEEL	14	8
-Brand#54	STANDARD ANODIZED STEEL	23	8
-Brand#54	STANDARD ANODIZED TIN	45	8
-Brand#54	STANDARD BRUSHED BRASS	36	8
-Brand#54	STANDARD BRUSHED COPPER	36	8
-Brand#54	STANDARD BRUSHED NICKEL	14	8
-Brand#54	STANDARD BRUSHED NICKEL	49	8
-Brand#54	STANDARD BRUSHED STEEL	9	8
-Brand#54	STANDARD BRUSHED STEEL	36	8
-Brand#54	STANDARD BRUSHED TIN	19	8
-Brand#54	STANDARD BRUSHED TIN	23	8
-Brand#54	STANDARD BRUSHED TIN	49	8
-Brand#54	STANDARD BURNISHED BRASS	45	8
-Brand#54	STANDARD BURNISHED COPPER	9	8
-Brand#54	STANDARD BURNISHED COPPER	19	8
-Brand#54	STANDARD BURNISHED NICKEL	23	8
-Brand#54	STANDARD BURNISHED STEEL	14	8
-Brand#54	STANDARD PLATED BRASS	3	8
-Brand#54	STANDARD PLATED BRASS	23	8
-Brand#54	STANDARD PLATED COPPER	36	8
-Brand#54	STANDARD PLATED NICKEL	36	8
-Brand#54	STANDARD PLATED STEEL	45	8
-Brand#54	STANDARD PLATED TIN	49	8
-Brand#54	STANDARD POLISHED BRASS	49	8
-Brand#54	STANDARD POLISHED COPPER	19	8
-Brand#54	STANDARD POLISHED COPPER	23	8
-Brand#54	STANDARD POLISHED NICKEL	36	8
-Brand#54	STANDARD POLISHED STEEL	19	8
-Brand#54	STANDARD POLISHED TIN	9	8
-Brand#54	STANDARD POLISHED TIN	14	8
-Brand#55	ECONOMY ANODIZED COPPER	23	8
-Brand#55	ECONOMY ANODIZED NICKEL	9	8
-Brand#55	ECONOMY ANODIZED NICKEL	14	8
-Brand#55	ECONOMY ANODIZED NICKEL	45	8
-Brand#55	ECONOMY ANODIZED STEEL	9	8
-Brand#55	ECONOMY ANODIZED STEEL	49	8
-Brand#55	ECONOMY ANODIZED TIN	9	8
-Brand#55	ECONOMY ANODIZED TIN	14	8
-Brand#55	ECONOMY ANODIZED TIN	19	8
-Brand#55	ECONOMY ANODIZED TIN	23	8
-Brand#55	ECONOMY ANODIZED TIN	36	8
-Brand#55	ECONOMY BRUSHED COPPER	23	8
-Brand#55	ECONOMY BRUSHED STEEL	49	8
-Brand#55	ECONOMY BRUSHED TIN	3	8
-Brand#55	ECONOMY BRUSHED TIN	23	8
-Brand#55	ECONOMY BURNISHED BRASS	3	8
-Brand#55	ECONOMY BURNISHED BRASS	14	8
-Brand#55	ECONOMY BURNISHED COPPER	23	8
-Brand#55	ECONOMY BURNISHED NICKEL	19	8
-Brand#55	ECONOMY BURNISHED NICKEL	49	8
-Brand#55	ECONOMY BURNISHED STEEL	9	8
-Brand#55	ECONOMY BURNISHED STEEL	19	8
-Brand#55	ECONOMY BURNISHED STEEL	49	8
-Brand#55	ECONOMY BURNISHED TIN	45	8
-Brand#55	ECONOMY PLATED BRASS	45	8
-Brand#55	ECONOMY PLATED COPPER	49	8
-Brand#55	ECONOMY PLATED NICKEL	19	8
-Brand#55	ECONOMY PLATED NICKEL	36	8
-Brand#55	ECONOMY PLATED TIN	23	8
-Brand#55	ECONOMY POLISHED BRASS	19	8
-Brand#55	ECONOMY POLISHED BRASS	23	8
-Brand#55	ECONOMY POLISHED COPPER	23	8
-Brand#55	ECONOMY POLISHED COPPER	45	8
-Brand#55	ECONOMY POLISHED NICKEL	9	8
-Brand#55	ECONOMY POLISHED NICKEL	14	8
-Brand#55	ECONOMY POLISHED NICKEL	19	8
-Brand#55	ECONOMY POLISHED NICKEL	45	8
-Brand#55	ECONOMY POLISHED TIN	9	8
-Brand#55	LARGE ANODIZED BRASS	36	8
-Brand#55	LARGE ANODIZED COPPER	9	8
-Brand#55	LARGE ANODIZED COPPER	36	8
-Brand#55	LARGE ANODIZED COPPER	45	8
-Brand#55	LARGE ANODIZED NICKEL	36	8
-Brand#55	LARGE ANODIZED STEEL	9	8
-Brand#55	LARGE ANODIZED TIN	14	8
-Brand#55	LARGE BRUSHED COPPER	9	8
-Brand#55	LARGE BRUSHED COPPER	19	8
-Brand#55	LARGE BRUSHED NICKEL	14	8
-Brand#55	LARGE BRUSHED TIN	9	8
-Brand#55	LARGE BURNISHED BRASS	3	8
-Brand#55	LARGE BURNISHED BRASS	49	8
-Brand#55	LARGE BURNISHED COPPER	36	8
-Brand#55	LARGE BURNISHED COPPER	49	8
-Brand#55	LARGE BURNISHED NICKEL	19	8
-Brand#55	LARGE BURNISHED NICKEL	45	8
-Brand#55	LARGE BURNISHED STEEL	3	8
-Brand#55	LARGE BURNISHED STEEL	23	8
-Brand#55	LARGE PLATED COPPER	14	8
-Brand#55	LARGE PLATED NICKEL	9	8
-Brand#55	LARGE PLATED STEEL	19	8
-Brand#55	LARGE PLATED STEEL	36	8
-Brand#55	LARGE PLATED STEEL	49	8
-Brand#55	LARGE PLATED TIN	9	8
-Brand#55	LARGE PLATED TIN	14	8
-Brand#55	LARGE PLATED TIN	36	8
-Brand#55	LARGE PLATED TIN	45	8
-Brand#55	LARGE POLISHED BRASS	3	8
-Brand#55	LARGE POLISHED COPPER	9	8
-Brand#55	LARGE POLISHED COPPER	36	8
-Brand#55	LARGE POLISHED TIN	9	8
-Brand#55	LARGE POLISHED TIN	45	8
-Brand#55	MEDIUM ANODIZED BRASS	23	8
-Brand#55	MEDIUM ANODIZED COPPER	14	8
-Brand#55	MEDIUM ANODIZED COPPER	49	8
-Brand#55	MEDIUM ANODIZED NICKEL	14	8
-Brand#55	MEDIUM ANODIZED NICKEL	19	8
-Brand#55	MEDIUM ANODIZED NICKEL	45	8
-Brand#55	MEDIUM ANODIZED STEEL	3	8
-Brand#55	MEDIUM ANODIZED STEEL	14	8
-Brand#55	MEDIUM ANODIZED TIN	45	8
-Brand#55	MEDIUM BRUSHED COPPER	23	8
-Brand#55	MEDIUM BRUSHED NICKEL	9	8
-Brand#55	MEDIUM BRUSHED NICKEL	36	8
-Brand#55	MEDIUM BRUSHED STEEL	14	8
-Brand#55	MEDIUM BRUSHED STEEL	36	8
-Brand#55	MEDIUM BRUSHED STEEL	49	8
-Brand#55	MEDIUM BRUSHED TIN	45	8
-Brand#55	MEDIUM BURNISHED COPPER	23	8
-Brand#55	MEDIUM BURNISHED NICKEL	23	8
-Brand#55	MEDIUM BURNISHED STEEL	14	8
-Brand#55	MEDIUM BURNISHED STEEL	36	8
-Brand#55	MEDIUM BURNISHED STEEL	49	8
-Brand#55	MEDIUM BURNISHED TIN	45	8
-Brand#55	MEDIUM PLATED BRASS	23	8
-Brand#55	MEDIUM PLATED COPPER	9	8
-Brand#55	MEDIUM PLATED COPPER	45	8
-Brand#55	MEDIUM PLATED NICKEL	49	8
-Brand#55	MEDIUM PLATED TIN	3	8
-Brand#55	MEDIUM PLATED TIN	14	8
-Brand#55	MEDIUM PLATED TIN	36	8
-Brand#55	PROMO ANODIZED BRASS	45	8
-Brand#55	PROMO ANODIZED BRASS	49	8
-Brand#55	PROMO ANODIZED COPPER	3	8
-Brand#55	PROMO ANODIZED COPPER	45	8
-Brand#55	PROMO ANODIZED COPPER	49	8
-Brand#55	PROMO ANODIZED NICKEL	3	8
-Brand#55	PROMO ANODIZED NICKEL	14	8
-Brand#55	PROMO ANODIZED NICKEL	36	8
-Brand#55	PROMO ANODIZED STEEL	3	8
-Brand#55	PROMO ANODIZED STEEL	36	8
-Brand#55	PROMO ANODIZED STEEL	49	8
-Brand#55	PROMO ANODIZED TIN	36	8
-Brand#55	PROMO ANODIZED TIN	49	8
-Brand#55	PROMO BRUSHED BRASS	9	8
-Brand#55	PROMO BRUSHED COPPER	9	8
-Brand#55	PROMO BRUSHED NICKEL	36	8
-Brand#55	PROMO BRUSHED NICKEL	49	8
-Brand#55	PROMO BRUSHED STEEL	3	8
-Brand#55	PROMO BRUSHED STEEL	9	8
-Brand#55	PROMO BRUSHED STEEL	36	8
-Brand#55	PROMO BRUSHED STEEL	45	8
-Brand#55	PROMO BRUSHED TIN	49	8
-Brand#55	PROMO BURNISHED BRASS	49	8
-Brand#55	PROMO BURNISHED COPPER	14	8
-Brand#55	PROMO BURNISHED STEEL	9	8
-Brand#55	PROMO BURNISHED TIN	45	8
-Brand#55	PROMO BURNISHED TIN	49	8
-Brand#55	PROMO PLATED BRASS	9	8
-Brand#55	PROMO PLATED BRASS	36	8
-Brand#55	PROMO PLATED BRASS	45	8
-Brand#55	PROMO PLATED COPPER	14	8
-Brand#55	PROMO PLATED COPPER	23	8
-Brand#55	PROMO PLATED NICKEL	14	8
-Brand#55	PROMO PLATED NICKEL	49	8
-Brand#55	PROMO PLATED TIN	36	8
-Brand#55	PROMO PLATED TIN	45	8
-Brand#55	PROMO POLISHED BRASS	3	8
-Brand#55	PROMO POLISHED COPPER	36	8
-Brand#55	PROMO POLISHED STEEL	3	8
-Brand#55	PROMO POLISHED STEEL	14	8
-Brand#55	PROMO POLISHED STEEL	36	8
-Brand#55	SMALL ANODIZED BRASS	19	8
-Brand#55	SMALL ANODIZED COPPER	14	8
-Brand#55	SMALL ANODIZED NICKEL	3	8
-Brand#55	SMALL ANODIZED STEEL	14	8
-Brand#55	SMALL ANODIZED STEEL	19	8
-Brand#55	SMALL ANODIZED STEEL	49	8
-Brand#55	SMALL ANODIZED TIN	3	8
-Brand#55	SMALL BRUSHED BRASS	19	8
-Brand#55	SMALL BRUSHED BRASS	49	8
-Brand#55	SMALL BRUSHED COPPER	14	8
-Brand#55	SMALL BRUSHED COPPER	36	8
-Brand#55	SMALL BRUSHED COPPER	45	8
-Brand#55	SMALL BRUSHED TIN	23	8
-Brand#55	SMALL BURNISHED BRASS	9	8
-Brand#55	SMALL BURNISHED COPPER	45	8
-Brand#55	SMALL BURNISHED NICKEL	3	8
-Brand#55	SMALL BURNISHED STEEL	19	8
-Brand#55	SMALL BURNISHED STEEL	23	8
-Brand#55	SMALL BURNISHED TIN	3	8
-Brand#55	SMALL BURNISHED TIN	14	8
-Brand#55	SMALL BURNISHED TIN	19	8
-Brand#55	SMALL BURNISHED TIN	36	8
-Brand#55	SMALL PLATED BRASS	45	8
-Brand#55	SMALL PLATED COPPER	9	8
-Brand#55	SMALL PLATED COPPER	19	8
-Brand#55	SMALL PLATED COPPER	23	8
-Brand#55	SMALL PLATED COPPER	45	8
-Brand#55	SMALL PLATED NICKEL	9	8
-Brand#55	SMALL PLATED NICKEL	23	8
-Brand#55	SMALL PLATED STEEL	49	8
-Brand#55	SMALL PLATED TIN	3	8
-Brand#55	SMALL PLATED TIN	9	8
-Brand#55	SMALL PLATED TIN	14	8
-Brand#55	SMALL PLATED TIN	49	8
-Brand#55	SMALL POLISHED BRASS	14	8
-Brand#55	SMALL POLISHED COPPER	3	8
-Brand#55	SMALL POLISHED TIN	19	8
-Brand#55	SMALL POLISHED TIN	49	8
-Brand#55	STANDARD ANODIZED BRASS	14	8
-Brand#55	STANDARD ANODIZED BRASS	36	8
-Brand#55	STANDARD ANODIZED COPPER	23	8
-Brand#55	STANDARD ANODIZED NICKEL	23	8
-Brand#55	STANDARD ANODIZED TIN	19	8
-Brand#55	STANDARD ANODIZED TIN	49	8
-Brand#55	STANDARD BRUSHED BRASS	3	8
-Brand#55	STANDARD BRUSHED BRASS	36	8
-Brand#55	STANDARD BRUSHED BRASS	45	8
-Brand#55	STANDARD BRUSHED COPPER	3	8
-Brand#55	STANDARD BRUSHED COPPER	23	8
-Brand#55	STANDARD BRUSHED NICKEL	19	8
-Brand#55	STANDARD BRUSHED TIN	23	8
-Brand#55	STANDARD BURNISHED BRASS	49	8
-Brand#55	STANDARD BURNISHED COPPER	23	8
-Brand#55	STANDARD BURNISHED COPPER	36	8
-Brand#55	STANDARD BURNISHED NICKEL	3	8
-Brand#55	STANDARD BURNISHED NICKEL	14	8
-Brand#55	STANDARD BURNISHED NICKEL	36	8
-Brand#55	STANDARD BURNISHED NICKEL	45	8
-Brand#55	STANDARD BURNISHED STEEL	14	8
-Brand#55	STANDARD BURNISHED STEEL	49	8
-Brand#55	STANDARD PLATED BRASS	19	8
-Brand#55	STANDARD PLATED BRASS	23	8
-Brand#55	STANDARD PLATED COPPER	23	8
-Brand#55	STANDARD PLATED NICKEL	49	8
-Brand#55	STANDARD PLATED TIN	23	8
-Brand#55	STANDARD POLISHED BRASS	19	8
-Brand#55	STANDARD POLISHED BRASS	49	8
-Brand#55	STANDARD POLISHED COPPER	9	8
-Brand#55	STANDARD POLISHED COPPER	36	8
-Brand#55	STANDARD POLISHED STEEL	9	8
-Brand#55	STANDARD POLISHED STEEL	36	8
-Brand#55	STANDARD POLISHED STEEL	45	8
-Brand#55	STANDARD POLISHED STEEL	49	8
-Brand#12	PROMO ANODIZED NICKEL	49	7
-Brand#13	LARGE PLATED TIN	23	7
-Brand#14	PROMO PLATED BRASS	19	7
-Brand#22	STANDARD POLISHED TIN	3	7
-Brand#23	ECONOMY PLATED NICKEL	19	7
-Brand#23	LARGE BURNISHED NICKEL	14	7
-Brand#24	PROMO BRUSHED NICKEL	14	7
-Brand#31	MEDIUM BURNISHED NICKEL	23	7
-Brand#32	LARGE BRUSHED COPPER	3	7
-Brand#32	LARGE POLISHED NICKEL	23	7
-Brand#32	STANDARD BURNISHED STEEL	19	7
-Brand#33	ECONOMY BRUSHED BRASS	3	7
-Brand#33	PROMO PLATED NICKEL	9	7
-Brand#33	SMALL ANODIZED COPPER	23	7
-Brand#41	ECONOMY BRUSHED COPPER	36	7
-Brand#41	PROMO POLISHED BRASS	45	7
-Brand#42	MEDIUM PLATED STEEL	45	7
-Brand#42	STANDARD PLATED COPPER	19	7
-Brand#43	LARGE POLISHED COPPER	19	7
-Brand#44	PROMO BURNISHED STEEL	45	7
-Brand#51	STANDARD PLATED TIN	45	7
-Brand#52	STANDARD ANODIZED STEEL	14	7
-Brand#53	STANDARD ANODIZED NICKEL	14	7
-Brand#55	ECONOMY POLISHED TIN	19	7
-Brand#55	SMALL BURNISHED STEEL	3	7
-Brand#32	MEDIUM BURNISHED STEEL	3	6
-Brand#11	ECONOMY ANODIZED BRASS	3	4
-Brand#11	ECONOMY ANODIZED BRASS	45	4
-Brand#11	ECONOMY ANODIZED COPPER	3	4
-Brand#11	ECONOMY ANODIZED COPPER	19	4
-Brand#11	ECONOMY ANODIZED COPPER	36	4
-Brand#11	ECONOMY ANODIZED COPPER	45	4
-Brand#11	ECONOMY ANODIZED STEEL	9	4
-Brand#11	ECONOMY ANODIZED STEEL	14	4
-Brand#11	ECONOMY ANODIZED STEEL	23	4
-Brand#11	ECONOMY ANODIZED STEEL	45	4
-Brand#11	ECONOMY ANODIZED STEEL	49	4
-Brand#11	ECONOMY ANODIZED TIN	3	4
-Brand#11	ECONOMY ANODIZED TIN	9	4
-Brand#11	ECONOMY ANODIZED TIN	49	4
-Brand#11	ECONOMY BRUSHED BRASS	3	4
-Brand#11	ECONOMY BRUSHED BRASS	19	4
-Brand#11	ECONOMY BRUSHED COPPER	3	4
-Brand#11	ECONOMY BRUSHED COPPER	19	4
-Brand#11	ECONOMY BRUSHED NICKEL	14	4
-Brand#11	ECONOMY BRUSHED STEEL	3	4
-Brand#11	ECONOMY BRUSHED STEEL	36	4
-Brand#11	ECONOMY BRUSHED TIN	23	4
-Brand#11	ECONOMY BRUSHED TIN	45	4
-Brand#11	ECONOMY BURNISHED BRASS	3	4
-Brand#11	ECONOMY BURNISHED BRASS	9	4
-Brand#11	ECONOMY BURNISHED BRASS	14	4
-Brand#11	ECONOMY BURNISHED BRASS	19	4
-Brand#11	ECONOMY BURNISHED BRASS	49	4
-Brand#11	ECONOMY BURNISHED COPPER	14	4
-Brand#11	ECONOMY BURNISHED COPPER	23	4
-Brand#11	ECONOMY BURNISHED COPPER	36	4
-Brand#11	ECONOMY BURNISHED NICKEL	9	4
-Brand#11	ECONOMY BURNISHED NICKEL	49	4
-Brand#11	ECONOMY BURNISHED STEEL	14	4
-Brand#11	ECONOMY BURNISHED TIN	19	4
-Brand#11	ECONOMY BURNISHED TIN	23	4
-Brand#11	ECONOMY BURNISHED TIN	45	4
-Brand#11	ECONOMY PLATED BRASS	3	4
-Brand#11	ECONOMY PLATED BRASS	9	4
-Brand#11	ECONOMY PLATED BRASS	36	4
-Brand#11	ECONOMY PLATED BRASS	49	4
-Brand#11	ECONOMY PLATED COPPER	36	4
-Brand#11	ECONOMY PLATED NICKEL	3	4
-Brand#11	ECONOMY PLATED NICKEL	49	4
-Brand#11	ECONOMY PLATED STEEL	3	4
-Brand#11	ECONOMY PLATED STEEL	14	4
-Brand#11	ECONOMY PLATED STEEL	19	4
-Brand#11	ECONOMY PLATED STEEL	49	4
-Brand#11	ECONOMY PLATED TIN	3	4
-Brand#11	ECONOMY PLATED TIN	9	4
-Brand#11	ECONOMY PLATED TIN	19	4
-Brand#11	ECONOMY PLATED TIN	36	4
-Brand#11	ECONOMY POLISHED BRASS	9	4
-Brand#11	ECONOMY POLISHED BRASS	19	4
-Brand#11	ECONOMY POLISHED BRASS	23	4
-Brand#11	ECONOMY POLISHED BRASS	36	4
-Brand#11	ECONOMY POLISHED BRASS	49	4
-Brand#11	ECONOMY POLISHED COPPER	3	4
-Brand#11	ECONOMY POLISHED COPPER	19	4
-Brand#11	ECONOMY POLISHED COPPER	23	4
-Brand#11	ECONOMY POLISHED NICKEL	36	4
-Brand#11	ECONOMY POLISHED NICKEL	49	4
-Brand#11	ECONOMY POLISHED STEEL	9	4
-Brand#11	ECONOMY POLISHED STEEL	14	4
-Brand#11	ECONOMY POLISHED STEEL	23	4
-Brand#11	ECONOMY POLISHED STEEL	36	4
-Brand#11	ECONOMY POLISHED STEEL	45	4
-Brand#11	ECONOMY POLISHED TIN	49	4
-Brand#11	LARGE ANODIZED BRASS	3	4
-Brand#11	LARGE ANODIZED BRASS	9	4
-Brand#11	LARGE ANODIZED BRASS	19	4
-Brand#11	LARGE ANODIZED BRASS	23	4
-Brand#11	LARGE ANODIZED COPPER	3	4
-Brand#11	LARGE ANODIZED COPPER	9	4
-Brand#11	LARGE ANODIZED COPPER	36	4
-Brand#11	LARGE ANODIZED COPPER	45	4
-Brand#11	LARGE ANODIZED NICKEL	23	4
-Brand#11	LARGE ANODIZED STEEL	14	4
-Brand#11	LARGE ANODIZED STEEL	49	4
-Brand#11	LARGE ANODIZED TIN	3	4
-Brand#11	LARGE ANODIZED TIN	9	4
-Brand#11	LARGE ANODIZED TIN	14	4
-Brand#11	LARGE ANODIZED TIN	19	4
-Brand#11	LARGE BRUSHED BRASS	36	4
-Brand#11	LARGE BRUSHED BRASS	45	4
-Brand#11	LARGE BRUSHED COPPER	3	4
-Brand#11	LARGE BRUSHED NICKEL	9	4
-Brand#11	LARGE BRUSHED NICKEL	36	4
-Brand#11	LARGE BRUSHED NICKEL	49	4
-Brand#11	LARGE BRUSHED STEEL	3	4
-Brand#11	LARGE BRUSHED STEEL	9	4
-Brand#11	LARGE BRUSHED STEEL	23	4
-Brand#11	LARGE BRUSHED STEEL	45	4
-Brand#11	LARGE BRUSHED TIN	3	4
-Brand#11	LARGE BURNISHED BRASS	9	4
-Brand#11	LARGE BURNISHED BRASS	19	4
-Brand#11	LARGE BURNISHED BRASS	36	4
-Brand#11	LARGE BURNISHED COPPER	19	4
-Brand#11	LARGE BURNISHED COPPER	45	4
-Brand#11	LARGE BURNISHED NICKEL	3	4
-Brand#11	LARGE BURNISHED NICKEL	49	4
-Brand#11	LARGE BURNISHED STEEL	14	4
-Brand#11	LARGE BURNISHED STEEL	23	4
-Brand#11	LARGE BURNISHED STEEL	45	4
-Brand#11	LARGE BURNISHED TIN	3	4
-Brand#11	LARGE BURNISHED TIN	9	4
-Brand#11	LARGE BURNISHED TIN	36	4
-Brand#11	LARGE BURNISHED TIN	45	4
-Brand#11	LARGE PLATED BRASS	9	4
-Brand#11	LARGE PLATED BRASS	36	4
-Brand#11	LARGE PLATED BRASS	45	4
-Brand#11	LARGE PLATED BRASS	49	4
-Brand#11	LARGE PLATED COPPER	3	4
-Brand#11	LARGE PLATED COPPER	9	4
-Brand#11	LARGE PLATED COPPER	14	4
-Brand#11	LARGE PLATED COPPER	19	4
-Brand#11	LARGE PLATED COPPER	23	4
-Brand#11	LARGE PLATED COPPER	36	4
-Brand#11	LARGE PLATED COPPER	45	4
-Brand#11	LARGE PLATED COPPER	49	4
-Brand#11	LARGE PLATED NICKEL	9	4
-Brand#11	LARGE PLATED NICKEL	14	4
-Brand#11	LARGE PLATED NICKEL	19	4
-Brand#11	LARGE PLATED NICKEL	49	4
-Brand#11	LARGE PLATED STEEL	9	4
-Brand#11	LARGE PLATED STEEL	49	4
-Brand#11	LARGE PLATED TIN	23	4
-Brand#11	LARGE PLATED TIN	45	4
-Brand#11	LARGE POLISHED BRASS	3	4
-Brand#11	LARGE POLISHED BRASS	14	4
-Brand#11	LARGE POLISHED BRASS	19	4
-Brand#11	LARGE POLISHED BRASS	23	4
-Brand#11	LARGE POLISHED BRASS	45	4
-Brand#11	LARGE POLISHED COPPER	3	4
-Brand#11	LARGE POLISHED COPPER	19	4
-Brand#11	LARGE POLISHED NICKEL	49	4
-Brand#11	LARGE POLISHED STEEL	14	4
-Brand#11	LARGE POLISHED STEEL	23	4
-Brand#11	LARGE POLISHED STEEL	45	4
-Brand#11	LARGE POLISHED TIN	9	4
-Brand#11	LARGE POLISHED TIN	14	4
-Brand#11	LARGE POLISHED TIN	45	4
-Brand#11	LARGE POLISHED TIN	49	4
-Brand#11	MEDIUM ANODIZED BRASS	19	4
-Brand#11	MEDIUM ANODIZED COPPER	3	4
-Brand#11	MEDIUM ANODIZED COPPER	45	4
-Brand#11	MEDIUM ANODIZED COPPER	49	4
-Brand#11	MEDIUM ANODIZED STEEL	14	4
-Brand#11	MEDIUM ANODIZED STEEL	23	4
-Brand#11	MEDIUM ANODIZED TIN	14	4
-Brand#11	MEDIUM ANODIZED TIN	19	4
-Brand#11	MEDIUM BRUSHED BRASS	14	4
-Brand#11	MEDIUM BRUSHED BRASS	36	4
-Brand#11	MEDIUM BRUSHED BRASS	49	4
-Brand#11	MEDIUM BRUSHED COPPER	36	4
-Brand#11	MEDIUM BRUSHED COPPER	49	4
-Brand#11	MEDIUM BRUSHED NICKEL	3	4
-Brand#11	MEDIUM BRUSHED NICKEL	19	4
-Brand#11	MEDIUM BRUSHED NICKEL	49	4
-Brand#11	MEDIUM BRUSHED STEEL	14	4
-Brand#11	MEDIUM BRUSHED TIN	3	4
-Brand#11	MEDIUM BRUSHED TIN	9	4
-Brand#11	MEDIUM BRUSHED TIN	49	4
-Brand#11	MEDIUM BURNISHED BRASS	9	4
-Brand#11	MEDIUM BURNISHED BRASS	14	4
-Brand#11	MEDIUM BURNISHED BRASS	36	4
-Brand#11	MEDIUM BURNISHED COPPER	3	4
-Brand#11	MEDIUM BURNISHED COPPER	36	4
-Brand#11	MEDIUM BURNISHED NICKEL	14	4
-Brand#11	MEDIUM BURNISHED NICKEL	19	4
-Brand#11	MEDIUM BURNISHED NICKEL	36	4
-Brand#11	MEDIUM BURNISHED NICKEL	45	4
-Brand#11	MEDIUM BURNISHED STEEL	23	4
-Brand#11	MEDIUM BURNISHED STEEL	45	4
-Brand#11	MEDIUM BURNISHED STEEL	49	4
-Brand#11	MEDIUM BURNISHED TIN	23	4
-Brand#11	MEDIUM BURNISHED TIN	45	4
-Brand#11	MEDIUM PLATED BRASS	19	4
-Brand#11	MEDIUM PLATED COPPER	23	4
-Brand#11	MEDIUM PLATED COPPER	45	4
-Brand#11	MEDIUM PLATED COPPER	49	4
-Brand#11	MEDIUM PLATED NICKEL	36	4
-Brand#11	MEDIUM PLATED NICKEL	49	4
-Brand#11	MEDIUM PLATED STEEL	49	4
-Brand#11	MEDIUM PLATED TIN	36	4
-Brand#11	MEDIUM PLATED TIN	49	4
-Brand#11	PROMO ANODIZED BRASS	3	4
-Brand#11	PROMO ANODIZED BRASS	9	4
-Brand#11	PROMO ANODIZED BRASS	14	4
-Brand#11	PROMO ANODIZED BRASS	23	4
-Brand#11	PROMO ANODIZED COPPER	3	4
-Brand#11	PROMO ANODIZED COPPER	23	4
-Brand#11	PROMO ANODIZED COPPER	45	4
-Brand#11	PROMO ANODIZED NICKEL	14	4
-Brand#11	PROMO ANODIZED NICKEL	19	4
-Brand#11	PROMO ANODIZED NICKEL	23	4
-Brand#11	PROMO ANODIZED NICKEL	49	4
-Brand#11	PROMO ANODIZED STEEL	9	4
-Brand#11	PROMO ANODIZED STEEL	14	4
-Brand#11	PROMO ANODIZED TIN	14	4
-Brand#11	PROMO ANODIZED TIN	45	4
-Brand#11	PROMO BRUSHED BRASS	9	4
-Brand#11	PROMO BRUSHED BRASS	14	4
-Brand#11	PROMO BRUSHED BRASS	19	4
-Brand#11	PROMO BRUSHED BRASS	23	4
-Brand#11	PROMO BRUSHED BRASS	45	4
-Brand#11	PROMO BRUSHED COPPER	3	4
-Brand#11	PROMO BRUSHED COPPER	23	4
-Brand#11	PROMO BRUSHED COPPER	45	4
-Brand#11	PROMO BRUSHED COPPER	49	4
-Brand#11	PROMO BRUSHED NICKEL	3	4
-Brand#11	PROMO BRUSHED NICKEL	14	4
-Brand#11	PROMO BRUSHED NICKEL	23	4
-Brand#11	PROMO BRUSHED NICKEL	45	4
-Brand#11	PROMO BRUSHED NICKEL	49	4
-Brand#11	PROMO BRUSHED STEEL	3	4
-Brand#11	PROMO BRUSHED STEEL	14	4
-Brand#11	PROMO BRUSHED STEEL	19	4
-Brand#11	PROMO BRUSHED TIN	3	4
-Brand#11	PROMO BRUSHED TIN	9	4
-Brand#11	PROMO BRUSHED TIN	23	4
-Brand#11	PROMO BRUSHED TIN	49	4
-Brand#11	PROMO BURNISHED BRASS	14	4
-Brand#11	PROMO BURNISHED BRASS	45	4
-Brand#11	PROMO BURNISHED COPPER	9	4
-Brand#11	PROMO BURNISHED COPPER	19	4
-Brand#11	PROMO BURNISHED COPPER	36	4
-Brand#11	PROMO BURNISHED NICKEL	9	4
-Brand#11	PROMO BURNISHED NICKEL	19	4
-Brand#11	PROMO BURNISHED NICKEL	49	4
-Brand#11	PROMO BURNISHED STEEL	3	4
-Brand#11	PROMO BURNISHED STEEL	9	4
-Brand#11	PROMO BURNISHED TIN	3	4
-Brand#11	PROMO BURNISHED TIN	9	4
-Brand#11	PROMO BURNISHED TIN	14	4
-Brand#11	PROMO BURNISHED TIN	19	4
-Brand#11	PROMO BURNISHED TIN	49	4
-Brand#11	PROMO PLATED BRASS	3	4
-Brand#11	PROMO PLATED BRASS	9	4
-Brand#11	PROMO PLATED BRASS	36	4
-Brand#11	PROMO PLATED COPPER	9	4
-Brand#11	PROMO PLATED COPPER	23	4
-Brand#11	PROMO PLATED NICKEL	19	4
-Brand#11	PROMO PLATED NICKEL	23	4
-Brand#11	PROMO PLATED NICKEL	36	4
-Brand#11	PROMO PLATED NICKEL	45	4
-Brand#11	PROMO PLATED STEEL	36	4
-Brand#11	PROMO PLATED STEEL	45	4
-Brand#11	PROMO PLATED TIN	45	4
-Brand#11	PROMO POLISHED BRASS	9	4
-Brand#11	PROMO POLISHED BRASS	45	4
-Brand#11	PROMO POLISHED BRASS	49	4
-Brand#11	PROMO POLISHED COPPER	3	4
-Brand#11	PROMO POLISHED COPPER	36	4
-Brand#11	PROMO POLISHED COPPER	49	4
-Brand#11	PROMO POLISHED NICKEL	14	4
-Brand#11	PROMO POLISHED NICKEL	19	4
-Brand#11	PROMO POLISHED STEEL	9	4
-Brand#11	PROMO POLISHED STEEL	14	4
-Brand#11	PROMO POLISHED STEEL	36	4
-Brand#11	PROMO POLISHED TIN	36	4
-Brand#11	PROMO POLISHED TIN	45	4
-Brand#11	SMALL ANODIZED BRASS	3	4
-Brand#11	SMALL ANODIZED BRASS	14	4
-Brand#11	SMALL ANODIZED BRASS	19	4
-Brand#11	SMALL ANODIZED BRASS	36	4
-Brand#11	SMALL ANODIZED COPPER	9	4
-Brand#11	SMALL ANODIZED COPPER	23	4
-Brand#11	SMALL ANODIZED COPPER	36	4
-Brand#11	SMALL ANODIZED NICKEL	3	4
-Brand#11	SMALL ANODIZED NICKEL	14	4
-Brand#11	SMALL ANODIZED NICKEL	19	4
-Brand#11	SMALL ANODIZED NICKEL	45	4
-Brand#11	SMALL ANODIZED STEEL	19	4
-Brand#11	SMALL ANODIZED STEEL	36	4
-Brand#11	SMALL ANODIZED TIN	3	4
-Brand#11	SMALL ANODIZED TIN	14	4
-Brand#11	SMALL ANODIZED TIN	49	4
-Brand#11	SMALL BRUSHED BRASS	3	4
-Brand#11	SMALL BRUSHED BRASS	9	4
-Brand#11	SMALL BRUSHED BRASS	14	4
-Brand#11	SMALL BRUSHED COPPER	3	4
-Brand#11	SMALL BRUSHED COPPER	23	4
-Brand#11	SMALL BRUSHED COPPER	36	4
-Brand#11	SMALL BRUSHED COPPER	45	4
-Brand#11	SMALL BRUSHED COPPER	49	4
-Brand#11	SMALL BRUSHED STEEL	9	4
-Brand#11	SMALL BRUSHED STEEL	19	4
-Brand#11	SMALL BRUSHED STEEL	36	4
-Brand#11	SMALL BRUSHED STEEL	45	4
-Brand#11	SMALL BRUSHED TIN	9	4
-Brand#11	SMALL BRUSHED TIN	23	4
-Brand#11	SMALL BRUSHED TIN	36	4
-Brand#11	SMALL BRUSHED TIN	45	4
-Brand#11	SMALL BURNISHED BRASS	3	4
-Brand#11	SMALL BURNISHED BRASS	23	4
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-Brand#11	STANDARD BURNISHED BRASS	14	4
-Brand#11	STANDARD BURNISHED BRASS	45	4
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-Brand#11	STANDARD BURNISHED COPPER	45	4
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-Brand#11	STANDARD POLISHED BRASS	49	4
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-Brand#11	STANDARD POLISHED COPPER	45	4
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-Brand#12	ECONOMY ANODIZED BRASS	9	4
-Brand#12	ECONOMY ANODIZED BRASS	19	4
-Brand#12	ECONOMY ANODIZED BRASS	23	4
-Brand#12	ECONOMY ANODIZED COPPER	9	4
-Brand#12	ECONOMY ANODIZED COPPER	19	4
-Brand#12	ECONOMY ANODIZED COPPER	23	4
-Brand#12	ECONOMY ANODIZED COPPER	36	4
-Brand#12	ECONOMY ANODIZED COPPER	45	4
-Brand#12	ECONOMY ANODIZED COPPER	49	4
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-Brand#12	ECONOMY ANODIZED NICKEL	23	4
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-Brand#12	ECONOMY ANODIZED STEEL	49	4
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-Brand#12	ECONOMY BRUSHED NICKEL	45	4
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-Brand#12	ECONOMY BURNISHED BRASS	36	4
-Brand#12	ECONOMY BURNISHED BRASS	45	4
-Brand#12	ECONOMY BURNISHED COPPER	9	4
-Brand#12	ECONOMY BURNISHED COPPER	23	4
-Brand#12	ECONOMY BURNISHED COPPER	36	4
-Brand#12	ECONOMY BURNISHED COPPER	45	4
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-Brand#12	ECONOMY BURNISHED STEEL	23	4
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-Brand#12	LARGE ANODIZED BRASS	49	4
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-Brand#12	LARGE ANODIZED NICKEL	45	4
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-Brand#12	LARGE BURNISHED BRASS	36	4
-Brand#12	LARGE BURNISHED BRASS	49	4
-Brand#12	LARGE BURNISHED COPPER	9	4
-Brand#12	LARGE BURNISHED COPPER	14	4
-Brand#12	LARGE BURNISHED COPPER	23	4
-Brand#12	LARGE BURNISHED COPPER	45	4
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-Brand#12	LARGE BURNISHED NICKEL	23	4
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-Brand#12	LARGE BURNISHED NICKEL	49	4
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-Brand#12	LARGE PLATED BRASS	23	4
-Brand#12	LARGE PLATED BRASS	36	4
-Brand#12	LARGE PLATED BRASS	45	4
-Brand#12	LARGE PLATED COPPER	9	4
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-Brand#12	LARGE PLATED NICKEL	23	4
-Brand#12	LARGE PLATED NICKEL	45	4
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-Brand#12	LARGE POLISHED BRASS	36	4
-Brand#12	LARGE POLISHED BRASS	45	4
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-Brand#12	LARGE POLISHED COPPER	45	4
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-Brand#12	MEDIUM ANODIZED BRASS	36	4
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-Brand#12	MEDIUM ANODIZED COPPER	36	4
-Brand#12	MEDIUM ANODIZED COPPER	45	4
-Brand#12	MEDIUM ANODIZED NICKEL	14	4
-Brand#12	MEDIUM ANODIZED NICKEL	23	4
-Brand#12	MEDIUM ANODIZED NICKEL	45	4
-Brand#12	MEDIUM ANODIZED NICKEL	49	4
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-Brand#12	MEDIUM ANODIZED TIN	45	4
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-Brand#12	MEDIUM BRUSHED BRASS	36	4
-Brand#12	MEDIUM BRUSHED BRASS	49	4
-Brand#12	MEDIUM BRUSHED COPPER	14	4
-Brand#12	MEDIUM BRUSHED COPPER	45	4
-Brand#12	MEDIUM BRUSHED COPPER	49	4
-Brand#12	MEDIUM BRUSHED NICKEL	3	4
-Brand#12	MEDIUM BRUSHED NICKEL	9	4
-Brand#12	MEDIUM BRUSHED NICKEL	19	4
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-Brand#12	MEDIUM BRUSHED STEEL	45	4
-Brand#12	MEDIUM BRUSHED STEEL	49	4
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-Brand#12	MEDIUM BRUSHED TIN	45	4
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-Brand#12	MEDIUM BURNISHED BRASS	9	4
-Brand#12	MEDIUM BURNISHED BRASS	14	4
-Brand#12	MEDIUM BURNISHED COPPER	9	4
-Brand#12	MEDIUM BURNISHED COPPER	14	4
-Brand#12	MEDIUM BURNISHED COPPER	23	4
-Brand#12	MEDIUM BURNISHED COPPER	36	4
-Brand#12	MEDIUM BURNISHED NICKEL	14	4
-Brand#12	MEDIUM BURNISHED NICKEL	19	4
-Brand#12	MEDIUM BURNISHED NICKEL	23	4
-Brand#12	MEDIUM BURNISHED NICKEL	36	4
-Brand#12	MEDIUM BURNISHED NICKEL	45	4
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-Brand#12	MEDIUM BURNISHED STEEL	36	4
-Brand#12	MEDIUM BURNISHED STEEL	45	4
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-Brand#12	MEDIUM PLATED COPPER	14	4
-Brand#12	MEDIUM PLATED COPPER	23	4
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-Brand#12	PROMO ANODIZED BRASS	23	4
-Brand#12	PROMO ANODIZED BRASS	36	4
-Brand#12	PROMO ANODIZED COPPER	9	4
-Brand#12	PROMO ANODIZED COPPER	14	4
-Brand#12	PROMO ANODIZED COPPER	23	4
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-Brand#12	PROMO ANODIZED STEEL	9	4
-Brand#12	PROMO ANODIZED STEEL	14	4
-Brand#12	PROMO ANODIZED STEEL	45	4
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-Brand#12	PROMO ANODIZED TIN	45	4
-Brand#12	PROMO BRUSHED BRASS	14	4
-Brand#12	PROMO BRUSHED COPPER	14	4
-Brand#12	PROMO BRUSHED COPPER	19	4
-Brand#12	PROMO BRUSHED COPPER	45	4
-Brand#12	PROMO BRUSHED COPPER	49	4
-Brand#12	PROMO BRUSHED NICKEL	3	4
-Brand#12	PROMO BRUSHED NICKEL	9	4
-Brand#12	PROMO BRUSHED NICKEL	14	4
-Brand#12	PROMO BRUSHED NICKEL	19	4
-Brand#12	PROMO BRUSHED NICKEL	36	4
-Brand#12	PROMO BRUSHED NICKEL	45	4
-Brand#12	PROMO BRUSHED NICKEL	49	4
-Brand#12	PROMO BRUSHED STEEL	36	4
-Brand#12	PROMO BRUSHED TIN	19	4
-Brand#12	PROMO BRUSHED TIN	23	4
-Brand#12	PROMO BRUSHED TIN	49	4
-Brand#12	PROMO BURNISHED BRASS	19	4
-Brand#12	PROMO BURNISHED BRASS	23	4
-Brand#12	PROMO BURNISHED BRASS	36	4
-Brand#12	PROMO BURNISHED BRASS	49	4
-Brand#12	PROMO BURNISHED COPPER	9	4
-Brand#12	PROMO BURNISHED COPPER	14	4
-Brand#12	PROMO BURNISHED COPPER	23	4
-Brand#12	PROMO BURNISHED COPPER	36	4
-Brand#12	PROMO BURNISHED COPPER	45	4
-Brand#12	PROMO BURNISHED COPPER	49	4
-Brand#12	PROMO BURNISHED NICKEL	3	4
-Brand#12	PROMO BURNISHED NICKEL	19	4
-Brand#12	PROMO BURNISHED NICKEL	23	4
-Brand#12	PROMO BURNISHED NICKEL	36	4
-Brand#12	PROMO BURNISHED NICKEL	45	4
-Brand#12	PROMO BURNISHED STEEL	14	4
-Brand#12	PROMO BURNISHED STEEL	19	4
-Brand#12	PROMO BURNISHED STEEL	23	4
-Brand#12	PROMO BURNISHED STEEL	45	4
-Brand#12	PROMO BURNISHED STEEL	49	4
-Brand#12	PROMO BURNISHED TIN	3	4
-Brand#12	PROMO BURNISHED TIN	19	4
-Brand#12	PROMO PLATED BRASS	14	4
-Brand#12	PROMO PLATED BRASS	23	4
-Brand#12	PROMO PLATED COPPER	3	4
-Brand#12	PROMO PLATED COPPER	19	4
-Brand#12	PROMO PLATED COPPER	49	4
-Brand#12	PROMO PLATED NICKEL	9	4
-Brand#12	PROMO PLATED NICKEL	19	4
-Brand#12	PROMO PLATED NICKEL	49	4
-Brand#12	PROMO PLATED STEEL	9	4
-Brand#12	PROMO PLATED STEEL	14	4
-Brand#12	PROMO PLATED STEEL	23	4
-Brand#12	PROMO PLATED STEEL	45	4
-Brand#12	PROMO PLATED TIN	14	4
-Brand#12	PROMO PLATED TIN	19	4
-Brand#12	PROMO PLATED TIN	49	4
-Brand#12	PROMO POLISHED BRASS	14	4
-Brand#12	PROMO POLISHED BRASS	45	4
-Brand#12	PROMO POLISHED COPPER	3	4
-Brand#12	PROMO POLISHED COPPER	9	4
-Brand#12	PROMO POLISHED COPPER	36	4
-Brand#12	PROMO POLISHED COPPER	49	4
-Brand#12	PROMO POLISHED NICKEL	9	4
-Brand#12	PROMO POLISHED NICKEL	23	4
-Brand#12	PROMO POLISHED NICKEL	45	4
-Brand#12	PROMO POLISHED STEEL	9	4
-Brand#12	PROMO POLISHED STEEL	14	4
-Brand#12	PROMO POLISHED TIN	9	4
-Brand#12	PROMO POLISHED TIN	45	4
-Brand#12	SMALL ANODIZED BRASS	3	4
-Brand#12	SMALL ANODIZED BRASS	14	4
-Brand#12	SMALL ANODIZED BRASS	19	4
-Brand#12	SMALL ANODIZED BRASS	23	4
-Brand#12	SMALL ANODIZED COPPER	19	4
-Brand#12	SMALL ANODIZED COPPER	23	4
-Brand#12	SMALL ANODIZED COPPER	45	4
-Brand#12	SMALL ANODIZED COPPER	49	4
-Brand#12	SMALL ANODIZED NICKEL	9	4
-Brand#12	SMALL ANODIZED NICKEL	14	4
-Brand#12	SMALL ANODIZED STEEL	19	4
-Brand#12	SMALL ANODIZED STEEL	36	4
-Brand#12	SMALL ANODIZED TIN	3	4
-Brand#12	SMALL ANODIZED TIN	36	4
-Brand#12	SMALL BRUSHED BRASS	9	4
-Brand#12	SMALL BRUSHED BRASS	19	4
-Brand#12	SMALL BRUSHED COPPER	9	4
-Brand#12	SMALL BRUSHED COPPER	14	4
-Brand#12	SMALL BRUSHED COPPER	19	4
-Brand#12	SMALL BRUSHED COPPER	23	4
-Brand#12	SMALL BRUSHED COPPER	45	4
-Brand#12	SMALL BRUSHED COPPER	49	4
-Brand#12	SMALL BRUSHED STEEL	3	4
-Brand#12	SMALL BRUSHED TIN	14	4
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-Brand#13	ECONOMY BRUSHED BRASS	49	4
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-Brand#13	LARGE ANODIZED COPPER	45	4
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-Brand#13	MEDIUM ANODIZED NICKEL	49	4
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-Brand#13	PROMO ANODIZED BRASS	49	4
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-Brand#13	PROMO ANODIZED COPPER	36	4
-Brand#13	PROMO ANODIZED COPPER	49	4
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-Brand#13	PROMO BRUSHED STEEL	49	4
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-Brand#13	PROMO BURNISHED BRASS	14	4
-Brand#13	PROMO BURNISHED BRASS	49	4
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-Brand#13	PROMO BURNISHED NICKEL	23	4
-Brand#13	PROMO BURNISHED NICKEL	45	4
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-Brand#13	PROMO PLATED BRASS	19	4
-Brand#13	PROMO PLATED BRASS	23	4
-Brand#13	PROMO PLATED BRASS	36	4
-Brand#13	PROMO PLATED BRASS	45	4
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-Brand#13	PROMO PLATED COPPER	23	4
-Brand#13	PROMO PLATED COPPER	49	4
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-Brand#13	PROMO PLATED STEEL	14	4
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-Brand#13	PROMO PLATED STEEL	36	4
-Brand#13	PROMO PLATED STEEL	49	4
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-Brand#13	PROMO PLATED TIN	9	4
-Brand#13	PROMO PLATED TIN	19	4
-Brand#13	PROMO PLATED TIN	36	4
-Brand#13	PROMO PLATED TIN	45	4
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-Brand#13	PROMO POLISHED BRASS	23	4
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-Brand#13	PROMO POLISHED COPPER	23	4
-Brand#13	PROMO POLISHED COPPER	49	4
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-Brand#13	PROMO POLISHED STEEL	19	4
-Brand#13	PROMO POLISHED STEEL	49	4
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-Brand#13	SMALL ANODIZED COPPER	3	4
-Brand#13	SMALL ANODIZED COPPER	14	4
-Brand#13	SMALL ANODIZED COPPER	45	4
-Brand#13	SMALL ANODIZED COPPER	49	4
-Brand#13	SMALL ANODIZED NICKEL	9	4
-Brand#13	SMALL ANODIZED NICKEL	23	4
-Brand#13	SMALL ANODIZED NICKEL	36	4
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-Brand#13	SMALL ANODIZED STEEL	36	4
-Brand#13	SMALL ANODIZED STEEL	49	4
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-Brand#13	STANDARD POLISHED BRASS	49	4
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-Brand#13	STANDARD POLISHED COPPER	49	4
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-Brand#14	ECONOMY ANODIZED COPPER	49	4
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-Brand#14	ECONOMY ANODIZED TIN	49	4
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-Brand#14	ECONOMY BURNISHED NICKEL	49	4
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-Brand#14	LARGE ANODIZED STEEL	49	4
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-Brand#14	LARGE POLISHED COPPER	49	4
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-Brand#14	LARGE POLISHED NICKEL	45	4
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-Brand#14	LARGE POLISHED STEEL	36	4
-Brand#14	LARGE POLISHED STEEL	49	4
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-Brand#14	MEDIUM ANODIZED BRASS	45	4
-Brand#14	MEDIUM ANODIZED BRASS	49	4
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-Brand#14	MEDIUM ANODIZED COPPER	23	4
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-Brand#14	MEDIUM ANODIZED STEEL	45	4
-Brand#14	MEDIUM ANODIZED STEEL	49	4
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-Brand#14	MEDIUM BRUSHED BRASS	45	4
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-Brand#14	MEDIUM BRUSHED COPPER	19	4
-Brand#14	MEDIUM BRUSHED COPPER	49	4
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-Brand#14	MEDIUM BRUSHED STEEL	45	4
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-Brand#14	MEDIUM BRUSHED TIN	49	4
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-Brand#14	MEDIUM BURNISHED COPPER	36	4
-Brand#14	MEDIUM BURNISHED COPPER	49	4
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-Brand#14	MEDIUM PLATED COPPER	49	4
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-Brand#14	MEDIUM PLATED NICKEL	19	4
-Brand#14	MEDIUM PLATED NICKEL	36	4
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-Brand#14	PROMO ANODIZED BRASS	14	4
-Brand#14	PROMO ANODIZED BRASS	49	4
-Brand#14	PROMO ANODIZED COPPER	23	4
-Brand#14	PROMO ANODIZED COPPER	49	4
-Brand#14	PROMO ANODIZED NICKEL	3	4
-Brand#14	PROMO ANODIZED NICKEL	23	4
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-Brand#14	PROMO ANODIZED STEEL	49	4
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-Brand#14	PROMO ANODIZED TIN	36	4
-Brand#14	PROMO ANODIZED TIN	45	4
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-Brand#14	PROMO BRUSHED BRASS	3	4
-Brand#14	PROMO BRUSHED BRASS	9	4
-Brand#14	PROMO BRUSHED COPPER	3	4
-Brand#14	PROMO BRUSHED COPPER	19	4
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-Brand#14	PROMO BRUSHED NICKEL	9	4
-Brand#14	PROMO BRUSHED NICKEL	14	4
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-Brand#14	PROMO BRUSHED STEEL	23	4
-Brand#14	PROMO BRUSHED STEEL	45	4
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-Brand#14	PROMO BRUSHED TIN	19	4
-Brand#14	PROMO BRUSHED TIN	23	4
-Brand#14	PROMO BRUSHED TIN	45	4
-Brand#14	PROMO BRUSHED TIN	49	4
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-Brand#14	PROMO BURNISHED BRASS	14	4
-Brand#14	PROMO BURNISHED COPPER	3	4
-Brand#14	PROMO BURNISHED COPPER	9	4
-Brand#14	PROMO BURNISHED COPPER	14	4
-Brand#14	PROMO BURNISHED COPPER	19	4
-Brand#14	PROMO BURNISHED COPPER	36	4
-Brand#14	PROMO BURNISHED NICKEL	23	4
-Brand#14	PROMO BURNISHED NICKEL	45	4
-Brand#14	PROMO BURNISHED NICKEL	49	4
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-Brand#14	PROMO BURNISHED STEEL	49	4
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-Brand#14	PROMO PLATED BRASS	23	4
-Brand#14	PROMO PLATED BRASS	49	4
-Brand#14	PROMO PLATED COPPER	3	4
-Brand#14	PROMO PLATED COPPER	9	4
-Brand#14	PROMO PLATED COPPER	36	4
-Brand#14	PROMO PLATED COPPER	49	4
-Brand#14	PROMO PLATED NICKEL	14	4
-Brand#14	PROMO PLATED NICKEL	19	4
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-Brand#14	PROMO PLATED STEEL	45	4
-Brand#14	PROMO PLATED TIN	23	4
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-Brand#14	PROMO POLISHED BRASS	45	4
-Brand#14	PROMO POLISHED COPPER	9	4
-Brand#14	PROMO POLISHED COPPER	23	4
-Brand#14	PROMO POLISHED COPPER	36	4
-Brand#14	PROMO POLISHED COPPER	45	4
-Brand#14	PROMO POLISHED COPPER	49	4
-Brand#14	PROMO POLISHED NICKEL	19	4
-Brand#14	PROMO POLISHED NICKEL	23	4
-Brand#14	PROMO POLISHED NICKEL	36	4
-Brand#14	PROMO POLISHED NICKEL	49	4
-Brand#14	PROMO POLISHED STEEL	9	4
-Brand#14	PROMO POLISHED STEEL	45	4
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-Brand#14	PROMO POLISHED TIN	36	4
-Brand#14	SMALL ANODIZED BRASS	3	4
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-Brand#14	SMALL ANODIZED BRASS	23	4
-Brand#14	SMALL ANODIZED BRASS	36	4
-Brand#14	SMALL ANODIZED BRASS	45	4
-Brand#14	SMALL ANODIZED BRASS	49	4
-Brand#14	SMALL ANODIZED COPPER	9	4
-Brand#14	SMALL ANODIZED COPPER	19	4
-Brand#14	SMALL ANODIZED COPPER	23	4
-Brand#14	SMALL ANODIZED COPPER	36	4
-Brand#14	SMALL ANODIZED COPPER	45	4
-Brand#14	SMALL ANODIZED NICKEL	14	4
-Brand#14	SMALL ANODIZED NICKEL	23	4
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-Brand#14	SMALL ANODIZED TIN	14	4
-Brand#14	SMALL ANODIZED TIN	23	4
-Brand#14	SMALL ANODIZED TIN	36	4
-Brand#14	SMALL ANODIZED TIN	49	4
-Brand#14	SMALL BRUSHED BRASS	3	4
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-Brand#14	SMALL BRUSHED COPPER	14	4
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-Brand#14	SMALL BRUSHED COPPER	45	4
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-Brand#14	SMALL BURNISHED COPPER	19	4
-Brand#14	SMALL BURNISHED COPPER	23	4
-Brand#14	SMALL BURNISHED COPPER	49	4
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-Brand#14	SMALL PLATED COPPER	14	4
-Brand#14	SMALL PLATED COPPER	36	4
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-Brand#14	SMALL POLISHED COPPER	23	4
-Brand#14	SMALL POLISHED COPPER	45	4
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-Brand#14	STANDARD ANODIZED BRASS	45	4
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-Brand#14	STANDARD ANODIZED NICKEL	45	4
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-Brand#14	STANDARD BRUSHED COPPER	23	4
-Brand#14	STANDARD BRUSHED COPPER	45	4
-Brand#14	STANDARD BRUSHED COPPER	49	4
-Brand#14	STANDARD BRUSHED NICKEL	9	4
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-Brand#14	STANDARD BURNISHED COPPER	45	4
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-Brand#14	STANDARD POLISHED BRASS	36	4
-Brand#14	STANDARD POLISHED COPPER	9	4
-Brand#14	STANDARD POLISHED COPPER	23	4
-Brand#14	STANDARD POLISHED NICKEL	14	4
-Brand#14	STANDARD POLISHED NICKEL	23	4
-Brand#14	STANDARD POLISHED NICKEL	45	4
-Brand#14	STANDARD POLISHED NICKEL	49	4
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-Brand#15	ECONOMY ANODIZED BRASS	45	4
-Brand#15	ECONOMY ANODIZED BRASS	49	4
-Brand#15	ECONOMY ANODIZED COPPER	3	4
-Brand#15	ECONOMY ANODIZED COPPER	14	4
-Brand#15	ECONOMY ANODIZED COPPER	23	4
-Brand#15	ECONOMY ANODIZED COPPER	36	4
-Brand#15	ECONOMY ANODIZED NICKEL	14	4
-Brand#15	ECONOMY ANODIZED NICKEL	45	4
-Brand#15	ECONOMY ANODIZED NICKEL	49	4
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-Brand#15	ECONOMY ANODIZED STEEL	45	4
-Brand#15	ECONOMY ANODIZED STEEL	49	4
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-Brand#15	ECONOMY ANODIZED TIN	23	4
-Brand#15	ECONOMY ANODIZED TIN	45	4
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-Brand#15	ECONOMY BRUSHED BRASS	36	4
-Brand#15	ECONOMY BRUSHED BRASS	45	4
-Brand#15	ECONOMY BRUSHED BRASS	49	4
-Brand#15	ECONOMY BRUSHED COPPER	14	4
-Brand#15	ECONOMY BRUSHED COPPER	19	4
-Brand#15	ECONOMY BRUSHED COPPER	45	4
-Brand#15	ECONOMY BRUSHED COPPER	49	4
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-Brand#15	ECONOMY BRUSHED TIN	45	4
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-Brand#15	ECONOMY BURNISHED NICKEL	45	4
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-Brand#15	ECONOMY PLATED BRASS	49	4
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-Brand#15	ECONOMY PLATED STEEL	45	4
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-Brand#15	ECONOMY POLISHED BRASS	49	4
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-Brand#15	LARGE ANODIZED BRASS	49	4
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-Brand#15	LARGE ANODIZED NICKEL	45	4
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-Brand#15	LARGE ANODIZED STEEL	36	4
-Brand#15	LARGE ANODIZED STEEL	49	4
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-Brand#15	LARGE ANODIZED TIN	45	4
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-Brand#15	LARGE BRUSHED COPPER	49	4
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-Brand#15	LARGE BRUSHED NICKEL	14	4
-Brand#15	LARGE BRUSHED NICKEL	23	4
-Brand#15	LARGE BRUSHED NICKEL	36	4
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-Brand#15	LARGE BRUSHED STEEL	36	4
-Brand#15	LARGE BRUSHED STEEL	49	4
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-Brand#15	LARGE BURNISHED NICKEL	45	4
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-Brand#15	LARGE PLATED BRASS	19	4
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-Brand#15	LARGE PLATED BRASS	49	4
-Brand#15	LARGE PLATED COPPER	3	4
-Brand#15	LARGE PLATED COPPER	14	4
-Brand#15	LARGE PLATED COPPER	23	4
-Brand#15	LARGE PLATED NICKEL	36	4
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-Brand#15	LARGE PLATED STEEL	45	4
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-Brand#15	LARGE POLISHED BRASS	14	4
-Brand#15	LARGE POLISHED COPPER	9	4
-Brand#15	LARGE POLISHED COPPER	14	4
-Brand#15	LARGE POLISHED COPPER	19	4
-Brand#15	LARGE POLISHED COPPER	45	4
-Brand#15	LARGE POLISHED NICKEL	3	4
-Brand#15	LARGE POLISHED NICKEL	14	4
-Brand#15	LARGE POLISHED NICKEL	19	4
-Brand#15	LARGE POLISHED NICKEL	23	4
-Brand#15	LARGE POLISHED NICKEL	36	4
-Brand#15	LARGE POLISHED NICKEL	49	4
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-Brand#15	MEDIUM ANODIZED BRASS	45	4
-Brand#15	MEDIUM ANODIZED BRASS	49	4
-Brand#15	MEDIUM ANODIZED COPPER	3	4
-Brand#15	MEDIUM ANODIZED COPPER	14	4
-Brand#15	MEDIUM ANODIZED COPPER	23	4
-Brand#15	MEDIUM ANODIZED COPPER	45	4
-Brand#15	MEDIUM ANODIZED COPPER	49	4
-Brand#15	MEDIUM ANODIZED NICKEL	14	4
-Brand#15	MEDIUM ANODIZED NICKEL	19	4
-Brand#15	MEDIUM ANODIZED NICKEL	23	4
-Brand#15	MEDIUM ANODIZED NICKEL	49	4
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-Brand#15	MEDIUM ANODIZED STEEL	14	4
-Brand#15	MEDIUM ANODIZED STEEL	36	4
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-Brand#15	MEDIUM ANODIZED TIN	45	4
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-Brand#15	MEDIUM BRUSHED BRASS	36	4
-Brand#15	MEDIUM BRUSHED COPPER	19	4
-Brand#15	MEDIUM BRUSHED NICKEL	36	4
-Brand#15	MEDIUM BRUSHED NICKEL	45	4
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-Brand#15	MEDIUM BRUSHED STEEL	14	4
-Brand#15	MEDIUM BRUSHED STEEL	23	4
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-Brand#15	MEDIUM BRUSHED TIN	36	4
-Brand#15	MEDIUM BRUSHED TIN	45	4
-Brand#15	MEDIUM BRUSHED TIN	49	4
-Brand#15	MEDIUM BURNISHED BRASS	3	4
-Brand#15	MEDIUM BURNISHED BRASS	14	4
-Brand#15	MEDIUM BURNISHED BRASS	19	4
-Brand#15	MEDIUM BURNISHED BRASS	23	4
-Brand#15	MEDIUM BURNISHED BRASS	49	4
-Brand#15	MEDIUM BURNISHED COPPER	9	4
-Brand#15	MEDIUM BURNISHED COPPER	19	4
-Brand#15	MEDIUM BURNISHED COPPER	36	4
-Brand#15	MEDIUM BURNISHED NICKEL	3	4
-Brand#15	MEDIUM BURNISHED NICKEL	23	4
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-Brand#15	MEDIUM BURNISHED STEEL	36	4
-Brand#15	MEDIUM BURNISHED STEEL	45	4
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-Brand#15	MEDIUM BURNISHED TIN	23	4
-Brand#15	MEDIUM BURNISHED TIN	36	4
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-Brand#15	MEDIUM PLATED BRASS	19	4
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-Brand#15	MEDIUM PLATED BRASS	49	4
-Brand#15	MEDIUM PLATED COPPER	9	4
-Brand#15	MEDIUM PLATED COPPER	19	4
-Brand#15	MEDIUM PLATED COPPER	36	4
-Brand#15	MEDIUM PLATED COPPER	45	4
-Brand#15	MEDIUM PLATED COPPER	49	4
-Brand#15	MEDIUM PLATED NICKEL	3	4
-Brand#15	MEDIUM PLATED NICKEL	9	4
-Brand#15	MEDIUM PLATED NICKEL	14	4
-Brand#15	MEDIUM PLATED NICKEL	19	4
-Brand#15	MEDIUM PLATED NICKEL	36	4
-Brand#15	MEDIUM PLATED NICKEL	45	4
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-Brand#15	MEDIUM PLATED STEEL	14	4
-Brand#15	MEDIUM PLATED STEEL	23	4
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-Brand#15	PROMO ANODIZED BRASS	9	4
-Brand#15	PROMO ANODIZED BRASS	19	4
-Brand#15	PROMO ANODIZED BRASS	49	4
-Brand#15	PROMO ANODIZED COPPER	3	4
-Brand#15	PROMO ANODIZED COPPER	19	4
-Brand#15	PROMO ANODIZED COPPER	23	4
-Brand#15	PROMO ANODIZED COPPER	49	4
-Brand#15	PROMO ANODIZED NICKEL	19	4
-Brand#15	PROMO ANODIZED STEEL	23	4
-Brand#15	PROMO ANODIZED STEEL	45	4
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-Brand#15	PROMO ANODIZED TIN	36	4
-Brand#15	PROMO ANODIZED TIN	45	4
-Brand#15	PROMO BRUSHED BRASS	3	4
-Brand#15	PROMO BRUSHED BRASS	23	4
-Brand#15	PROMO BRUSHED BRASS	45	4
-Brand#15	PROMO BRUSHED COPPER	14	4
-Brand#15	PROMO BRUSHED COPPER	49	4
-Brand#15	PROMO BRUSHED NICKEL	3	4
-Brand#15	PROMO BRUSHED NICKEL	14	4
-Brand#15	PROMO BRUSHED NICKEL	45	4
-Brand#15	PROMO BRUSHED STEEL	3	4
-Brand#15	PROMO BRUSHED STEEL	19	4
-Brand#15	PROMO BRUSHED TIN	9	4
-Brand#15	PROMO BRUSHED TIN	14	4
-Brand#15	PROMO BRUSHED TIN	45	4
-Brand#15	PROMO BURNISHED BRASS	3	4
-Brand#15	PROMO BURNISHED BRASS	19	4
-Brand#15	PROMO BURNISHED BRASS	45	4
-Brand#15	PROMO BURNISHED COPPER	23	4
-Brand#15	PROMO BURNISHED COPPER	49	4
-Brand#15	PROMO BURNISHED NICKEL	45	4
-Brand#15	PROMO BURNISHED STEEL	14	4
-Brand#15	PROMO BURNISHED STEEL	45	4
-Brand#15	PROMO BURNISHED STEEL	49	4
-Brand#15	PROMO BURNISHED TIN	3	4
-Brand#15	PROMO BURNISHED TIN	23	4
-Brand#15	PROMO PLATED BRASS	3	4
-Brand#15	PROMO PLATED BRASS	9	4
-Brand#15	PROMO PLATED BRASS	45	4
-Brand#15	PROMO PLATED COPPER	19	4
-Brand#15	PROMO PLATED COPPER	49	4
-Brand#15	PROMO PLATED NICKEL	3	4
-Brand#15	PROMO PLATED NICKEL	49	4
-Brand#15	PROMO PLATED STEEL	9	4
-Brand#15	PROMO PLATED STEEL	19	4
-Brand#15	PROMO PLATED STEEL	45	4
-Brand#15	PROMO PLATED STEEL	49	4
-Brand#15	PROMO PLATED TIN	14	4
-Brand#15	PROMO PLATED TIN	36	4
-Brand#15	PROMO PLATED TIN	45	4
-Brand#15	PROMO PLATED TIN	49	4
-Brand#15	PROMO POLISHED BRASS	19	4
-Brand#15	PROMO POLISHED BRASS	23	4
-Brand#15	PROMO POLISHED BRASS	36	4
-Brand#15	PROMO POLISHED BRASS	45	4
-Brand#15	PROMO POLISHED BRASS	49	4
-Brand#15	PROMO POLISHED COPPER	23	4
-Brand#15	PROMO POLISHED NICKEL	3	4
-Brand#15	PROMO POLISHED NICKEL	9	4
-Brand#15	PROMO POLISHED NICKEL	14	4
-Brand#15	PROMO POLISHED NICKEL	45	4
-Brand#15	PROMO POLISHED STEEL	23	4
-Brand#15	PROMO POLISHED STEEL	36	4
-Brand#15	PROMO POLISHED STEEL	45	4
-Brand#15	PROMO POLISHED TIN	14	4
-Brand#15	PROMO POLISHED TIN	19	4
-Brand#15	PROMO POLISHED TIN	36	4
-Brand#15	SMALL ANODIZED BRASS	3	4
-Brand#15	SMALL ANODIZED BRASS	36	4
-Brand#15	SMALL ANODIZED COPPER	3	4
-Brand#15	SMALL ANODIZED COPPER	9	4
-Brand#15	SMALL ANODIZED COPPER	14	4
-Brand#15	SMALL ANODIZED COPPER	19	4
-Brand#15	SMALL ANODIZED COPPER	36	4
-Brand#15	SMALL ANODIZED COPPER	49	4
-Brand#15	SMALL ANODIZED NICKEL	45	4
-Brand#15	SMALL ANODIZED NICKEL	49	4
-Brand#15	SMALL ANODIZED STEEL	19	4
-Brand#15	SMALL ANODIZED STEEL	36	4
-Brand#15	SMALL ANODIZED TIN	3	4
-Brand#15	SMALL ANODIZED TIN	9	4
-Brand#15	SMALL ANODIZED TIN	49	4
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-Brand#15	STANDARD BRUSHED TIN	49	4
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-Brand#15	STANDARD PLATED BRASS	49	4
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-Brand#15	STANDARD POLISHED BRASS	49	4
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-Brand#15	STANDARD POLISHED COPPER	45	4
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-Brand#15	STANDARD POLISHED NICKEL	49	4
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-Brand#15	STANDARD POLISHED STEEL	19	4
-Brand#15	STANDARD POLISHED STEEL	36	4
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-Brand#21	LARGE BURNISHED BRASS	49	4
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-Brand#21	LARGE BURNISHED COPPER	45	4
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-Brand#21	LARGE BURNISHED NICKEL	45	4
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-Brand#21	LARGE POLISHED COPPER	36	4
-Brand#21	LARGE POLISHED COPPER	45	4
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-Brand#21	MEDIUM BRUSHED COPPER	36	4
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-Brand#21	MEDIUM BRUSHED NICKEL	9	4
-Brand#21	MEDIUM BRUSHED NICKEL	23	4
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-Brand#21	MEDIUM BURNISHED BRASS	45	4
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-Brand#21	MEDIUM BURNISHED COPPER	9	4
-Brand#21	MEDIUM BURNISHED COPPER	14	4
-Brand#21	MEDIUM BURNISHED COPPER	45	4
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-Brand#21	MEDIUM BURNISHED NICKEL	45	4
-Brand#21	MEDIUM BURNISHED NICKEL	49	4
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-Brand#21	MEDIUM PLATED BRASS	49	4
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-Brand#21	MEDIUM PLATED COPPER	19	4
-Brand#21	MEDIUM PLATED COPPER	36	4
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-Brand#21	MEDIUM PLATED NICKEL	45	4
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-Brand#21	PROMO ANODIZED BRASS	45	4
-Brand#21	PROMO ANODIZED BRASS	49	4
-Brand#21	PROMO ANODIZED COPPER	3	4
-Brand#21	PROMO ANODIZED COPPER	19	4
-Brand#21	PROMO ANODIZED COPPER	49	4
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-Brand#21	PROMO ANODIZED NICKEL	45	4
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-Brand#21	PROMO ANODIZED STEEL	23	4
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-Brand#21	PROMO ANODIZED TIN	9	4
-Brand#21	PROMO ANODIZED TIN	36	4
-Brand#21	PROMO ANODIZED TIN	49	4
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-Brand#21	PROMO BRUSHED BRASS	14	4
-Brand#21	PROMO BRUSHED BRASS	36	4
-Brand#21	PROMO BRUSHED COPPER	9	4
-Brand#21	PROMO BRUSHED COPPER	14	4
-Brand#21	PROMO BRUSHED COPPER	19	4
-Brand#21	PROMO BRUSHED COPPER	23	4
-Brand#21	PROMO BRUSHED NICKEL	3	4
-Brand#21	PROMO BRUSHED NICKEL	14	4
-Brand#21	PROMO BRUSHED NICKEL	23	4
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-Brand#21	PROMO BRUSHED STEEL	49	4
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-Brand#21	PROMO BURNISHED BRASS	14	4
-Brand#21	PROMO BURNISHED BRASS	36	4
-Brand#21	PROMO BURNISHED COPPER	14	4
-Brand#21	PROMO BURNISHED COPPER	19	4
-Brand#21	PROMO BURNISHED COPPER	23	4
-Brand#21	PROMO BURNISHED COPPER	36	4
-Brand#21	PROMO BURNISHED COPPER	45	4
-Brand#21	PROMO BURNISHED NICKEL	9	4
-Brand#21	PROMO BURNISHED NICKEL	14	4
-Brand#21	PROMO BURNISHED NICKEL	45	4
-Brand#21	PROMO BURNISHED NICKEL	49	4
-Brand#21	PROMO BURNISHED STEEL	3	4
-Brand#21	PROMO BURNISHED STEEL	19	4
-Brand#21	PROMO BURNISHED TIN	3	4
-Brand#21	PROMO BURNISHED TIN	9	4
-Brand#21	PROMO BURNISHED TIN	14	4
-Brand#21	PROMO BURNISHED TIN	19	4
-Brand#21	PROMO BURNISHED TIN	23	4
-Brand#21	PROMO PLATED BRASS	9	4
-Brand#21	PROMO PLATED BRASS	45	4
-Brand#21	PROMO PLATED COPPER	36	4
-Brand#21	PROMO PLATED COPPER	45	4
-Brand#21	PROMO PLATED NICKEL	9	4
-Brand#21	PROMO PLATED NICKEL	36	4
-Brand#21	PROMO PLATED STEEL	19	4
-Brand#21	PROMO PLATED STEEL	45	4
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-Brand#21	PROMO PLATED TIN	19	4
-Brand#21	PROMO PLATED TIN	49	4
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-Brand#21	PROMO POLISHED BRASS	49	4
-Brand#21	PROMO POLISHED COPPER	23	4
-Brand#21	PROMO POLISHED COPPER	49	4
-Brand#21	PROMO POLISHED NICKEL	3	4
-Brand#21	PROMO POLISHED NICKEL	9	4
-Brand#21	PROMO POLISHED NICKEL	19	4
-Brand#21	PROMO POLISHED NICKEL	49	4
-Brand#21	PROMO POLISHED TIN	3	4
-Brand#21	PROMO POLISHED TIN	23	4
-Brand#21	PROMO POLISHED TIN	36	4
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-Brand#21	SMALL ANODIZED BRASS	14	4
-Brand#21	SMALL ANODIZED BRASS	36	4
-Brand#21	SMALL ANODIZED BRASS	49	4
-Brand#21	SMALL ANODIZED COPPER	3	4
-Brand#21	SMALL ANODIZED COPPER	14	4
-Brand#21	SMALL ANODIZED COPPER	23	4
-Brand#21	SMALL ANODIZED COPPER	36	4
-Brand#21	SMALL ANODIZED STEEL	9	4
-Brand#21	SMALL ANODIZED STEEL	19	4
-Brand#21	SMALL ANODIZED TIN	3	4
-Brand#21	SMALL ANODIZED TIN	45	4
-Brand#21	SMALL BRUSHED BRASS	3	4
-Brand#21	SMALL BRUSHED BRASS	9	4
-Brand#21	SMALL BRUSHED BRASS	23	4
-Brand#21	SMALL BRUSHED BRASS	49	4
-Brand#21	SMALL BRUSHED COPPER	19	4
-Brand#21	SMALL BRUSHED COPPER	23	4
-Brand#21	SMALL BRUSHED COPPER	49	4
-Brand#21	SMALL BRUSHED NICKEL	3	4
-Brand#21	SMALL BRUSHED NICKEL	49	4
-Brand#21	SMALL BRUSHED STEEL	19	4
-Brand#21	SMALL BRUSHED STEEL	23	4
-Brand#21	SMALL BRUSHED STEEL	45	4
-Brand#21	SMALL BRUSHED STEEL	49	4
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-Brand#21	SMALL BRUSHED TIN	49	4
-Brand#21	SMALL BURNISHED BRASS	3	4
-Brand#21	SMALL BURNISHED BRASS	9	4
-Brand#21	SMALL BURNISHED BRASS	19	4
-Brand#21	SMALL BURNISHED BRASS	23	4
-Brand#21	SMALL BURNISHED BRASS	45	4
-Brand#21	SMALL BURNISHED COPPER	9	4
-Brand#21	SMALL BURNISHED COPPER	23	4
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-Brand#24	PROMO BURNISHED COPPER	14	4
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-Brand#24	SMALL ANODIZED BRASS	49	4
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-Brand#25	PROMO PLATED COPPER	19	4
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-Brand#25	PROMO POLISHED NICKEL	9	4
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-Brand#25	SMALL ANODIZED COPPER	49	4
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-Brand#25	SMALL ANODIZED STEEL	45	4
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-Brand#25	SMALL BRUSHED STEEL	19	4
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-Brand#25	SMALL BRUSHED STEEL	45	4
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-Brand#25	SMALL BURNISHED BRASS	19	4
-Brand#25	SMALL BURNISHED BRASS	45	4
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-Brand#25	SMALL BURNISHED COPPER	3	4
-Brand#25	SMALL BURNISHED COPPER	14	4
-Brand#25	SMALL BURNISHED COPPER	19	4
-Brand#25	SMALL BURNISHED COPPER	23	4
-Brand#25	SMALL BURNISHED NICKEL	14	4
-Brand#25	SMALL BURNISHED NICKEL	19	4
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-Brand#25	STANDARD ANODIZED COPPER	14	4
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-Brand#25	STANDARD ANODIZED COPPER	36	4
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-Brand#25	STANDARD ANODIZED STEEL	45	4
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-Brand#25	STANDARD BRUSHED NICKEL	3	4
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-Brand#25	STANDARD BRUSHED STEEL	45	4
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-Brand#25	STANDARD BURNISHED BRASS	36	4
-Brand#25	STANDARD BURNISHED BRASS	45	4
-Brand#25	STANDARD BURNISHED BRASS	49	4
-Brand#25	STANDARD BURNISHED COPPER	3	4
-Brand#25	STANDARD BURNISHED COPPER	14	4
-Brand#25	STANDARD BURNISHED COPPER	36	4
-Brand#25	STANDARD BURNISHED COPPER	45	4
-Brand#25	STANDARD BURNISHED COPPER	49	4
-Brand#25	STANDARD BURNISHED NICKEL	14	4
-Brand#25	STANDARD BURNISHED NICKEL	45	4
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-Brand#25	STANDARD PLATED COPPER	3	4
-Brand#25	STANDARD PLATED COPPER	19	4
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-Brand#25	STANDARD POLISHED BRASS	14	4
-Brand#25	STANDARD POLISHED BRASS	23	4
-Brand#25	STANDARD POLISHED BRASS	45	4
-Brand#25	STANDARD POLISHED COPPER	9	4
-Brand#25	STANDARD POLISHED COPPER	19	4
-Brand#25	STANDARD POLISHED COPPER	45	4
-Brand#25	STANDARD POLISHED COPPER	49	4
-Brand#25	STANDARD POLISHED NICKEL	14	4
-Brand#25	STANDARD POLISHED NICKEL	23	4
-Brand#25	STANDARD POLISHED NICKEL	49	4
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-Brand#31	ECONOMY ANODIZED BRASS	9	4
-Brand#31	ECONOMY ANODIZED BRASS	23	4
-Brand#31	ECONOMY ANODIZED COPPER	3	4
-Brand#31	ECONOMY ANODIZED COPPER	9	4
-Brand#31	ECONOMY ANODIZED COPPER	14	4
-Brand#31	ECONOMY ANODIZED COPPER	36	4
-Brand#31	ECONOMY ANODIZED COPPER	45	4
-Brand#31	ECONOMY ANODIZED NICKEL	19	4
-Brand#31	ECONOMY ANODIZED NICKEL	23	4
-Brand#31	ECONOMY ANODIZED NICKEL	36	4
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-Brand#31	ECONOMY ANODIZED STEEL	19	4
-Brand#31	ECONOMY ANODIZED STEEL	23	4
-Brand#31	ECONOMY ANODIZED STEEL	49	4
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-Brand#31	ECONOMY BRUSHED BRASS	45	4
-Brand#31	ECONOMY BRUSHED BRASS	49	4
-Brand#31	ECONOMY BRUSHED COPPER	19	4
-Brand#31	ECONOMY BRUSHED COPPER	23	4
-Brand#31	ECONOMY BRUSHED COPPER	45	4
-Brand#31	ECONOMY BRUSHED COPPER	49	4
-Brand#31	ECONOMY BRUSHED NICKEL	23	4
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-Brand#31	ECONOMY BRUSHED NICKEL	45	4
-Brand#31	ECONOMY BRUSHED NICKEL	49	4
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-Brand#31	ECONOMY BRUSHED TIN	45	4
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-Brand#31	ECONOMY BURNISHED BRASS	19	4
-Brand#31	ECONOMY BURNISHED BRASS	36	4
-Brand#31	ECONOMY BURNISHED BRASS	49	4
-Brand#31	ECONOMY BURNISHED COPPER	3	4
-Brand#31	ECONOMY BURNISHED COPPER	23	4
-Brand#31	ECONOMY BURNISHED COPPER	36	4
-Brand#31	ECONOMY BURNISHED NICKEL	3	4
-Brand#31	ECONOMY BURNISHED NICKEL	9	4
-Brand#31	ECONOMY BURNISHED NICKEL	14	4
-Brand#31	ECONOMY BURNISHED NICKEL	23	4
-Brand#31	ECONOMY BURNISHED NICKEL	49	4
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-Brand#31	ECONOMY PLATED NICKEL	45	4
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-Brand#31	ECONOMY POLISHED COPPER	45	4
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-Brand#31	LARGE ANODIZED BRASS	49	4
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-Brand#31	LARGE BRUSHED COPPER	23	4
-Brand#31	LARGE BRUSHED COPPER	36	4
-Brand#31	LARGE BRUSHED COPPER	49	4
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-Brand#31	LARGE BURNISHED COPPER	14	4
-Brand#31	LARGE BURNISHED COPPER	19	4
-Brand#31	LARGE BURNISHED COPPER	49	4
-Brand#31	LARGE BURNISHED NICKEL	3	4
-Brand#31	LARGE BURNISHED NICKEL	23	4
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-Brand#31	LARGE PLATED STEEL	49	4
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-Brand#31	LARGE POLISHED BRASS	36	4
-Brand#31	LARGE POLISHED BRASS	49	4
-Brand#31	LARGE POLISHED COPPER	36	4
-Brand#31	LARGE POLISHED COPPER	45	4
-Brand#31	LARGE POLISHED NICKEL	9	4
-Brand#31	LARGE POLISHED NICKEL	23	4
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-Brand#31	LARGE POLISHED STEEL	9	4
-Brand#31	LARGE POLISHED STEEL	14	4
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-Brand#31	MEDIUM ANODIZED BRASS	36	4
-Brand#31	MEDIUM ANODIZED BRASS	49	4
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-Brand#31	MEDIUM ANODIZED NICKEL	36	4
-Brand#31	MEDIUM ANODIZED NICKEL	45	4
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-Brand#31	MEDIUM BRUSHED COPPER	45	4
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-Brand#31	MEDIUM BRUSHED NICKEL	23	4
-Brand#31	MEDIUM BRUSHED NICKEL	45	4
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-Brand#31	MEDIUM BRUSHED STEEL	14	4
-Brand#31	MEDIUM BRUSHED STEEL	36	4
-Brand#31	MEDIUM BRUSHED STEEL	45	4
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-Brand#31	MEDIUM BRUSHED TIN	36	4
-Brand#31	MEDIUM BRUSHED TIN	45	4
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-Brand#31	MEDIUM BURNISHED BRASS	36	4
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-Brand#31	MEDIUM BURNISHED COPPER	9	4
-Brand#31	MEDIUM BURNISHED COPPER	14	4
-Brand#31	MEDIUM BURNISHED COPPER	23	4
-Brand#31	MEDIUM BURNISHED NICKEL	36	4
-Brand#31	MEDIUM BURNISHED NICKEL	49	4
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-Brand#31	MEDIUM PLATED BRASS	45	4
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-Brand#31	MEDIUM PLATED NICKEL	14	4
-Brand#31	MEDIUM PLATED NICKEL	19	4
-Brand#31	MEDIUM PLATED NICKEL	45	4
-Brand#31	MEDIUM PLATED STEEL	14	4
-Brand#31	MEDIUM PLATED STEEL	49	4
-Brand#31	MEDIUM PLATED TIN	3	4
-Brand#31	MEDIUM PLATED TIN	9	4
-Brand#31	MEDIUM PLATED TIN	14	4
-Brand#31	MEDIUM PLATED TIN	36	4
-Brand#31	MEDIUM PLATED TIN	49	4
-Brand#31	PROMO ANODIZED BRASS	19	4
-Brand#31	PROMO ANODIZED BRASS	45	4
-Brand#31	PROMO ANODIZED COPPER	19	4
-Brand#31	PROMO ANODIZED COPPER	36	4
-Brand#31	PROMO ANODIZED COPPER	45	4
-Brand#31	PROMO ANODIZED NICKEL	9	4
-Brand#31	PROMO ANODIZED NICKEL	49	4
-Brand#31	PROMO ANODIZED STEEL	3	4
-Brand#31	PROMO ANODIZED STEEL	23	4
-Brand#31	PROMO ANODIZED STEEL	45	4
-Brand#31	PROMO ANODIZED TIN	9	4
-Brand#31	PROMO ANODIZED TIN	45	4
-Brand#31	PROMO ANODIZED TIN	49	4
-Brand#31	PROMO BRUSHED BRASS	9	4
-Brand#31	PROMO BRUSHED BRASS	14	4
-Brand#31	PROMO BRUSHED BRASS	45	4
-Brand#31	PROMO BRUSHED COPPER	9	4
-Brand#31	PROMO BRUSHED COPPER	36	4
-Brand#31	PROMO BRUSHED COPPER	49	4
-Brand#31	PROMO BRUSHED NICKEL	19	4
-Brand#31	PROMO BRUSHED NICKEL	36	4
-Brand#31	PROMO BRUSHED NICKEL	45	4
-Brand#31	PROMO BRUSHED STEEL	14	4
-Brand#31	PROMO BRUSHED STEEL	19	4
-Brand#31	PROMO BRUSHED STEEL	36	4
-Brand#31	PROMO BRUSHED TIN	14	4
-Brand#31	PROMO BRUSHED TIN	19	4
-Brand#31	PROMO BRUSHED TIN	23	4
-Brand#31	PROMO BRUSHED TIN	49	4
-Brand#31	PROMO BURNISHED BRASS	23	4
-Brand#31	PROMO BURNISHED BRASS	45	4
-Brand#31	PROMO BURNISHED COPPER	23	4
-Brand#31	PROMO BURNISHED COPPER	49	4
-Brand#31	PROMO BURNISHED NICKEL	23	4
-Brand#31	PROMO BURNISHED NICKEL	36	4
-Brand#31	PROMO BURNISHED STEEL	9	4
-Brand#31	PROMO BURNISHED TIN	3	4
-Brand#31	PROMO BURNISHED TIN	9	4
-Brand#31	PROMO BURNISHED TIN	14	4
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-Brand#31	PROMO BURNISHED TIN	45	4
-Brand#31	PROMO PLATED BRASS	9	4
-Brand#31	PROMO PLATED BRASS	14	4
-Brand#31	PROMO PLATED BRASS	19	4
-Brand#31	PROMO PLATED BRASS	49	4
-Brand#31	PROMO PLATED COPPER	3	4
-Brand#31	PROMO PLATED COPPER	9	4
-Brand#31	PROMO PLATED COPPER	23	4
-Brand#31	PROMO PLATED COPPER	45	4
-Brand#31	PROMO PLATED NICKEL	3	4
-Brand#31	PROMO PLATED NICKEL	9	4
-Brand#31	PROMO PLATED NICKEL	14	4
-Brand#31	PROMO PLATED NICKEL	19	4
-Brand#31	PROMO PLATED NICKEL	23	4
-Brand#31	PROMO PLATED NICKEL	49	4
-Brand#31	PROMO PLATED STEEL	3	4
-Brand#31	PROMO PLATED STEEL	9	4
-Brand#31	PROMO PLATED STEEL	14	4
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-Brand#31	PROMO PLATED TIN	36	4
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-Brand#31	PROMO POLISHED BRASS	36	4
-Brand#31	PROMO POLISHED COPPER	14	4
-Brand#31	PROMO POLISHED NICKEL	9	4
-Brand#31	PROMO POLISHED NICKEL	36	4
-Brand#31	PROMO POLISHED STEEL	19	4
-Brand#31	PROMO POLISHED STEEL	45	4
-Brand#31	PROMO POLISHED STEEL	49	4
-Brand#31	PROMO POLISHED TIN	3	4
-Brand#31	PROMO POLISHED TIN	14	4
-Brand#31	PROMO POLISHED TIN	19	4
-Brand#31	PROMO POLISHED TIN	23	4
-Brand#31	PROMO POLISHED TIN	36	4
-Brand#31	SMALL ANODIZED BRASS	3	4
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-Brand#31	SMALL ANODIZED BRASS	23	4
-Brand#31	SMALL ANODIZED BRASS	45	4
-Brand#31	SMALL ANODIZED BRASS	49	4
-Brand#31	SMALL ANODIZED COPPER	9	4
-Brand#31	SMALL ANODIZED COPPER	19	4
-Brand#31	SMALL ANODIZED COPPER	23	4
-Brand#31	SMALL ANODIZED NICKEL	19	4
-Brand#31	SMALL ANODIZED NICKEL	36	4
-Brand#31	SMALL ANODIZED NICKEL	45	4
-Brand#31	SMALL ANODIZED STEEL	19	4
-Brand#31	SMALL ANODIZED STEEL	23	4
-Brand#31	SMALL ANODIZED STEEL	36	4
-Brand#31	SMALL ANODIZED STEEL	49	4
-Brand#31	SMALL ANODIZED TIN	9	4
-Brand#31	SMALL ANODIZED TIN	19	4
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-Brand#32	PROMO PLATED BRASS	45	4
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-Brand#32	PROMO POLISHED NICKEL	45	4
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-Brand#32	STANDARD POLISHED COPPER	45	4
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-Brand#33	ECONOMY ANODIZED NICKEL	49	4
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-Brand#33	ECONOMY BURNISHED COPPER	36	4
-Brand#33	ECONOMY BURNISHED COPPER	45	4
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-Brand#33	MEDIUM ANODIZED COPPER	49	4
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-Brand#33	MEDIUM ANODIZED STEEL	36	4
-Brand#33	MEDIUM ANODIZED STEEL	49	4
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-Brand#33	MEDIUM BRUSHED NICKEL	49	4
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-Brand#33	MEDIUM BURNISHED BRASS	45	4
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-Brand#33	MEDIUM BURNISHED COPPER	36	4
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-Brand#33	MEDIUM BURNISHED NICKEL	23	4
-Brand#33	MEDIUM BURNISHED NICKEL	36	4
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-Brand#33	MEDIUM BURNISHED STEEL	36	4
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-Brand#33	MEDIUM PLATED BRASS	49	4
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-Brand#33	PROMO ANODIZED COPPER	9	4
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-Brand#33	PROMO ANODIZED NICKEL	19	4
-Brand#33	PROMO ANODIZED NICKEL	49	4
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-Brand#33	PROMO BRUSHED BRASS	14	4
-Brand#33	PROMO BRUSHED BRASS	36	4
-Brand#33	PROMO BRUSHED BRASS	45	4
-Brand#33	PROMO BRUSHED BRASS	49	4
-Brand#33	PROMO BRUSHED COPPER	19	4
-Brand#33	PROMO BRUSHED COPPER	23	4
-Brand#33	PROMO BRUSHED COPPER	36	4
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-Brand#33	PROMO BRUSHED NICKEL	23	4
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-Brand#33	PROMO BRUSHED TIN	45	4
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-Brand#33	PROMO BURNISHED BRASS	23	4
-Brand#33	PROMO BURNISHED COPPER	9	4
-Brand#33	PROMO BURNISHED COPPER	14	4
-Brand#33	PROMO BURNISHED COPPER	36	4
-Brand#33	PROMO BURNISHED NICKEL	9	4
-Brand#33	PROMO BURNISHED NICKEL	36	4
-Brand#33	PROMO BURNISHED NICKEL	45	4
-Brand#33	PROMO BURNISHED STEEL	23	4
-Brand#33	PROMO BURNISHED STEEL	49	4
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-Brand#33	PROMO PLATED COPPER	9	4
-Brand#33	PROMO PLATED COPPER	23	4
-Brand#33	PROMO PLATED COPPER	36	4
-Brand#33	PROMO PLATED COPPER	49	4
-Brand#33	PROMO PLATED NICKEL	3	4
-Brand#33	PROMO PLATED NICKEL	36	4
-Brand#33	PROMO PLATED STEEL	3	4
-Brand#33	PROMO PLATED STEEL	14	4
-Brand#33	PROMO PLATED STEEL	45	4
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-Brand#33	PROMO PLATED TIN	9	4
-Brand#33	PROMO PLATED TIN	19	4
-Brand#33	PROMO PLATED TIN	49	4
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-Brand#33	PROMO POLISHED COPPER	19	4
-Brand#33	PROMO POLISHED COPPER	23	4
-Brand#33	PROMO POLISHED NICKEL	19	4
-Brand#33	PROMO POLISHED NICKEL	36	4
-Brand#33	PROMO POLISHED STEEL	36	4
-Brand#33	PROMO POLISHED TIN	9	4
-Brand#33	PROMO POLISHED TIN	23	4
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-Brand#33	SMALL ANODIZED BRASS	19	4
-Brand#33	SMALL ANODIZED BRASS	45	4
-Brand#33	SMALL ANODIZED BRASS	49	4
-Brand#33	SMALL ANODIZED COPPER	36	4
-Brand#33	SMALL ANODIZED NICKEL	19	4
-Brand#33	SMALL ANODIZED STEEL	23	4
-Brand#33	SMALL ANODIZED STEEL	45	4
-Brand#33	SMALL ANODIZED TIN	3	4
-Brand#33	SMALL ANODIZED TIN	14	4
-Brand#33	SMALL ANODIZED TIN	36	4
-Brand#33	SMALL BRUSHED BRASS	19	4
-Brand#33	SMALL BRUSHED BRASS	45	4
-Brand#33	SMALL BRUSHED COPPER	3	4
-Brand#33	SMALL BRUSHED COPPER	19	4
-Brand#33	SMALL BRUSHED NICKEL	14	4
-Brand#33	SMALL BRUSHED NICKEL	23	4
-Brand#33	SMALL BRUSHED NICKEL	36	4
-Brand#33	SMALL BRUSHED NICKEL	49	4
-Brand#33	SMALL BRUSHED STEEL	14	4
-Brand#33	SMALL BRUSHED STEEL	19	4
-Brand#33	SMALL BRUSHED STEEL	36	4
-Brand#33	SMALL BRUSHED STEEL	45	4
-Brand#33	SMALL BRUSHED STEEL	49	4
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-Brand#33	SMALL BRUSHED TIN	14	4
-Brand#33	SMALL BRUSHED TIN	23	4
-Brand#33	SMALL BRUSHED TIN	49	4
-Brand#33	SMALL BURNISHED BRASS	3	4
-Brand#33	SMALL BURNISHED BRASS	19	4
-Brand#33	SMALL BURNISHED BRASS	49	4
-Brand#33	SMALL BURNISHED COPPER	3	4
-Brand#33	SMALL BURNISHED COPPER	9	4
-Brand#33	SMALL BURNISHED COPPER	14	4
-Brand#33	SMALL BURNISHED COPPER	23	4
-Brand#33	SMALL BURNISHED NICKEL	3	4
-Brand#33	SMALL BURNISHED NICKEL	9	4
-Brand#33	SMALL BURNISHED NICKEL	14	4
-Brand#33	SMALL BURNISHED NICKEL	23	4
-Brand#33	SMALL BURNISHED NICKEL	45	4
-Brand#33	SMALL BURNISHED NICKEL	49	4
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-Brand#33	SMALL PLATED BRASS	3	4
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-Brand#35	STANDARD POLISHED COPPER	36	4
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-Brand#41	ECONOMY BURNISHED COPPER	23	4
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-Brand#41	SMALL BURNISHED COPPER	49	4
-Brand#41	SMALL BURNISHED NICKEL	14	4
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-Brand#41	SMALL POLISHED COPPER	19	4
-Brand#41	SMALL POLISHED COPPER	49	4
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-Brand#41	STANDARD BRUSHED COPPER	36	4
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-Brand#42	ECONOMY POLISHED BRASS	36	4
-Brand#42	ECONOMY POLISHED BRASS	45	4
-Brand#42	ECONOMY POLISHED BRASS	49	4
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-Brand#42	ECONOMY POLISHED COPPER	19	4
-Brand#42	ECONOMY POLISHED COPPER	49	4
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-Brand#42	LARGE ANODIZED COPPER	45	4
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-Brand#42	LARGE BURNISHED BRASS	45	4
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-Brand#42	MEDIUM ANODIZED BRASS	45	4
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-Brand#42	MEDIUM ANODIZED COPPER	14	4
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-Brand#42	MEDIUM BRUSHED BRASS	45	4
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-Brand#42	MEDIUM BRUSHED COPPER	45	4
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-Brand#42	MEDIUM BURNISHED BRASS	49	4
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-Brand#42	PROMO ANODIZED COPPER	36	4
-Brand#42	PROMO ANODIZED COPPER	49	4
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-Brand#42	PROMO BRUSHED COPPER	19	4
-Brand#42	PROMO BRUSHED COPPER	23	4
-Brand#42	PROMO BRUSHED COPPER	36	4
-Brand#42	PROMO BRUSHED COPPER	45	4
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-Brand#42	PROMO BURNISHED BRASS	36	4
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-Brand#42	PROMO POLISHED NICKEL	23	4
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-Brand#42	PROMO POLISHED NICKEL	45	4
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-Brand#42	SMALL ANODIZED COPPER	45	4
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-Brand#42	SMALL BRUSHED BRASS	49	4
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-Brand#42	SMALL BRUSHED NICKEL	36	4
-Brand#42	SMALL BRUSHED NICKEL	45	4
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-Brand#42	SMALL BURNISHED COPPER	14	4
-Brand#42	SMALL BURNISHED COPPER	19	4
-Brand#42	SMALL BURNISHED COPPER	23	4
-Brand#42	SMALL BURNISHED COPPER	49	4
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-Brand#42	SMALL POLISHED BRASS	49	4
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-Brand#42	SMALL POLISHED COPPER	19	4
-Brand#42	SMALL POLISHED COPPER	49	4
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-Brand#42	SMALL POLISHED NICKEL	36	4
-Brand#42	SMALL POLISHED NICKEL	49	4
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-Brand#42	STANDARD ANODIZED BRASS	49	4
-Brand#42	STANDARD ANODIZED COPPER	3	4
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-Brand#42	STANDARD ANODIZED COPPER	23	4
-Brand#42	STANDARD ANODIZED COPPER	49	4
-Brand#42	STANDARD ANODIZED NICKEL	3	4
-Brand#42	STANDARD ANODIZED NICKEL	23	4
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-Brand#42	STANDARD ANODIZED NICKEL	45	4
-Brand#42	STANDARD ANODIZED NICKEL	49	4
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-Brand#42	STANDARD BRUSHED COPPER	9	4
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-Brand#42	STANDARD BRUSHED COPPER	19	4
-Brand#42	STANDARD BRUSHED COPPER	45	4
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-Brand#43	STANDARD POLISHED BRASS	49	4
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-Brand#43	STANDARD POLISHED COPPER	14	4
-Brand#43	STANDARD POLISHED COPPER	23	4
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-Brand#43	STANDARD POLISHED NICKEL	49	4
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-Brand#44	ECONOMY ANODIZED BRASS	49	4
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-Brand#44	ECONOMY ANODIZED COPPER	19	4
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-Brand#44	ECONOMY BRUSHED BRASS	45	4
-Brand#44	ECONOMY BRUSHED BRASS	49	4
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-Brand#44	ECONOMY BRUSHED COPPER	14	4
-Brand#44	ECONOMY BRUSHED COPPER	36	4
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-Brand#44	ECONOMY BRUSHED STEEL	45	4
-Brand#44	ECONOMY BRUSHED STEEL	49	4
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-Brand#44	ECONOMY BURNISHED BRASS	19	4
-Brand#44	ECONOMY BURNISHED BRASS	49	4
-Brand#44	ECONOMY BURNISHED COPPER	19	4
-Brand#44	ECONOMY BURNISHED COPPER	45	4
-Brand#44	ECONOMY BURNISHED NICKEL	19	4
-Brand#44	ECONOMY BURNISHED NICKEL	36	4
-Brand#44	ECONOMY BURNISHED NICKEL	45	4
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-Brand#44	ECONOMY PLATED BRASS	45	4
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-Brand#44	ECONOMY PLATED COPPER	49	4
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-Brand#44	ECONOMY PLATED NICKEL	19	4
-Brand#44	ECONOMY PLATED NICKEL	45	4
-Brand#44	ECONOMY PLATED NICKEL	49	4
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-Brand#44	ECONOMY PLATED STEEL	49	4
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-Brand#44	ECONOMY POLISHED COPPER	45	4
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-Brand#44	ECONOMY POLISHED NICKEL	14	4
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-Brand#44	ECONOMY POLISHED STEEL	14	4
-Brand#44	ECONOMY POLISHED STEEL	19	4
-Brand#44	ECONOMY POLISHED STEEL	36	4
-Brand#44	ECONOMY POLISHED STEEL	45	4
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-Brand#44	LARGE ANODIZED COPPER	49	4
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-Brand#44	LARGE ANODIZED STEEL	14	4
-Brand#44	LARGE ANODIZED STEEL	36	4
-Brand#44	LARGE ANODIZED STEEL	45	4
-Brand#44	LARGE ANODIZED STEEL	49	4
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-Brand#44	LARGE ANODIZED TIN	19	4
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-Brand#44	LARGE BRUSHED BRASS	45	4
-Brand#44	LARGE BRUSHED BRASS	49	4
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-Brand#44	LARGE BRUSHED COPPER	19	4
-Brand#44	LARGE BRUSHED COPPER	45	4
-Brand#44	LARGE BRUSHED COPPER	49	4
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-Brand#44	LARGE BRUSHED STEEL	45	4
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-Brand#44	LARGE BRUSHED TIN	45	4
-Brand#44	LARGE BRUSHED TIN	49	4
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-Brand#44	LARGE BURNISHED BRASS	45	4
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-Brand#44	LARGE BURNISHED COPPER	36	4
-Brand#44	LARGE BURNISHED COPPER	45	4
-Brand#44	LARGE BURNISHED COPPER	49	4
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-Brand#44	LARGE POLISHED STEEL	49	4
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-Brand#44	MEDIUM ANODIZED COPPER	19	4
-Brand#44	MEDIUM ANODIZED COPPER	23	4
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-Brand#44	MEDIUM BRUSHED NICKEL	19	4
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-Brand#44	MEDIUM BRUSHED STEEL	49	4
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-Brand#44	MEDIUM BURNISHED BRASS	23	4
-Brand#44	MEDIUM BURNISHED BRASS	49	4
-Brand#44	MEDIUM BURNISHED COPPER	14	4
-Brand#44	MEDIUM BURNISHED COPPER	23	4
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-Brand#44	MEDIUM BURNISHED NICKEL	19	4
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-Brand#44	MEDIUM BURNISHED STEEL	36	4
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-Brand#44	PROMO ANODIZED COPPER	9	4
-Brand#44	PROMO ANODIZED COPPER	14	4
-Brand#44	PROMO ANODIZED COPPER	49	4
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-Brand#44	PROMO BRUSHED BRASS	23	4
-Brand#44	PROMO BRUSHED BRASS	36	4
-Brand#44	PROMO BRUSHED BRASS	45	4
-Brand#44	PROMO BRUSHED BRASS	49	4
-Brand#44	PROMO BRUSHED COPPER	14	4
-Brand#44	PROMO BRUSHED COPPER	19	4
-Brand#44	PROMO BRUSHED COPPER	45	4
-Brand#44	PROMO BRUSHED COPPER	49	4
-Brand#44	PROMO BRUSHED NICKEL	9	4
-Brand#44	PROMO BRUSHED NICKEL	36	4
-Brand#44	PROMO BRUSHED NICKEL	49	4
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-Brand#44	PROMO BURNISHED BRASS	23	4
-Brand#44	PROMO BURNISHED BRASS	45	4
-Brand#44	PROMO BURNISHED COPPER	14	4
-Brand#44	PROMO BURNISHED COPPER	19	4
-Brand#44	PROMO BURNISHED COPPER	36	4
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-Brand#44	PROMO BURNISHED NICKEL	19	4
-Brand#44	PROMO BURNISHED NICKEL	23	4
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-Brand#44	PROMO PLATED COPPER	9	4
-Brand#44	PROMO PLATED COPPER	14	4
-Brand#44	PROMO PLATED COPPER	36	4
-Brand#44	PROMO PLATED COPPER	49	4
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-Brand#44	PROMO POLISHED BRASS	19	4
-Brand#44	PROMO POLISHED BRASS	49	4
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-Brand#44	PROMO POLISHED COPPER	49	4
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-Brand#44	PROMO POLISHED NICKEL	36	4
-Brand#44	PROMO POLISHED NICKEL	49	4
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-Brand#44	SMALL ANODIZED COPPER	45	4
-Brand#44	SMALL ANODIZED NICKEL	3	4
-Brand#44	SMALL ANODIZED NICKEL	9	4
-Brand#44	SMALL ANODIZED NICKEL	14	4
-Brand#44	SMALL ANODIZED NICKEL	19	4
-Brand#44	SMALL ANODIZED NICKEL	36	4
-Brand#44	SMALL ANODIZED NICKEL	45	4
-Brand#44	SMALL ANODIZED NICKEL	49	4
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-Brand#44	SMALL ANODIZED STEEL	23	4
-Brand#44	SMALL ANODIZED STEEL	49	4
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-Brand#44	SMALL ANODIZED TIN	9	4
-Brand#44	SMALL ANODIZED TIN	36	4
-Brand#44	SMALL ANODIZED TIN	49	4
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-Brand#44	SMALL BRUSHED BRASS	9	4
-Brand#44	SMALL BRUSHED BRASS	36	4
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-Brand#44	SMALL BRUSHED COPPER	14	4
-Brand#44	SMALL BRUSHED NICKEL	14	4
-Brand#44	SMALL BRUSHED NICKEL	36	4
-Brand#44	SMALL BRUSHED NICKEL	49	4
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-Brand#44	SMALL BRUSHED STEEL	9	4
-Brand#44	SMALL BRUSHED STEEL	45	4
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-Brand#44	SMALL BRUSHED TIN	23	4
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-Brand#44	SMALL BURNISHED BRASS	14	4
-Brand#44	SMALL BURNISHED BRASS	19	4
-Brand#44	SMALL BURNISHED BRASS	23	4
-Brand#44	SMALL BURNISHED BRASS	45	4
-Brand#44	SMALL BURNISHED COPPER	9	4
-Brand#44	SMALL BURNISHED COPPER	19	4
-Brand#44	SMALL BURNISHED COPPER	36	4
-Brand#44	SMALL BURNISHED COPPER	45	4
-Brand#44	SMALL BURNISHED COPPER	49	4
-Brand#44	SMALL BURNISHED NICKEL	9	4
-Brand#44	SMALL BURNISHED NICKEL	19	4
-Brand#44	SMALL BURNISHED NICKEL	23	4
-Brand#44	SMALL BURNISHED NICKEL	36	4
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-Brand#44	SMALL PLATED BRASS	14	4
-Brand#44	SMALL PLATED BRASS	45	4
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-Brand#44	SMALL PLATED COPPER	19	4
-Brand#44	SMALL PLATED COPPER	23	4
-Brand#44	SMALL PLATED COPPER	36	4
-Brand#44	SMALL PLATED COPPER	49	4
-Brand#44	SMALL PLATED NICKEL	3	4
-Brand#44	SMALL PLATED NICKEL	19	4
-Brand#44	SMALL PLATED NICKEL	23	4
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-Brand#44	SMALL PLATED STEEL	36	4
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-Brand#44	SMALL POLISHED BRASS	19	4
-Brand#44	SMALL POLISHED BRASS	23	4
-Brand#44	SMALL POLISHED BRASS	36	4
-Brand#44	SMALL POLISHED COPPER	3	4
-Brand#44	SMALL POLISHED COPPER	19	4
-Brand#44	SMALL POLISHED COPPER	45	4
-Brand#44	SMALL POLISHED NICKEL	36	4
-Brand#44	SMALL POLISHED STEEL	23	4
-Brand#44	SMALL POLISHED STEEL	36	4
-Brand#44	SMALL POLISHED STEEL	45	4
-Brand#44	SMALL POLISHED STEEL	49	4
-Brand#44	STANDARD ANODIZED BRASS	23	4
-Brand#44	STANDARD ANODIZED BRASS	36	4
-Brand#44	STANDARD ANODIZED COPPER	14	4
-Brand#44	STANDARD ANODIZED COPPER	23	4
-Brand#44	STANDARD ANODIZED COPPER	36	4
-Brand#44	STANDARD ANODIZED NICKEL	3	4
-Brand#44	STANDARD ANODIZED NICKEL	14	4
-Brand#44	STANDARD ANODIZED NICKEL	23	4
-Brand#44	STANDARD ANODIZED NICKEL	49	4
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-Brand#44	STANDARD BRUSHED BRASS	49	4
-Brand#44	STANDARD BRUSHED COPPER	3	4
-Brand#44	STANDARD BRUSHED COPPER	45	4
-Brand#44	STANDARD BRUSHED NICKEL	3	4
-Brand#44	STANDARD BRUSHED NICKEL	19	4
-Brand#44	STANDARD BRUSHED NICKEL	36	4
-Brand#44	STANDARD BRUSHED NICKEL	45	4
-Brand#44	STANDARD BRUSHED NICKEL	49	4
-Brand#44	STANDARD BRUSHED STEEL	9	4
-Brand#44	STANDARD BRUSHED STEEL	14	4
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-Brand#51	ECONOMY ANODIZED COPPER	14	4
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-Brand#51	ECONOMY BURNISHED BRASS	49	4
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-Brand#51	ECONOMY BURNISHED COPPER	19	4
-Brand#51	ECONOMY BURNISHED COPPER	36	4
-Brand#51	ECONOMY BURNISHED COPPER	49	4
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-Brand#51	ECONOMY BURNISHED NICKEL	23	4
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-Brand#51	ECONOMY POLISHED COPPER	14	4
-Brand#51	ECONOMY POLISHED COPPER	19	4
-Brand#51	ECONOMY POLISHED COPPER	45	4
-Brand#51	ECONOMY POLISHED COPPER	49	4
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-Brand#51	LARGE ANODIZED BRASS	45	4
-Brand#51	LARGE ANODIZED BRASS	49	4
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-Brand#51	LARGE ANODIZED COPPER	9	4
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-Brand#51	LARGE BURNISHED NICKEL	36	4
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-Brand#51	MEDIUM BRUSHED BRASS	36	4
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-Brand#51	MEDIUM BRUSHED COPPER	23	4
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-Brand#51	MEDIUM BURNISHED COPPER	23	4
-Brand#51	MEDIUM BURNISHED COPPER	36	4
-Brand#51	MEDIUM BURNISHED COPPER	45	4
-Brand#51	MEDIUM BURNISHED COPPER	49	4
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-Brand#51	PROMO BRUSHED BRASS	49	4
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-Brand#51	PROMO BRUSHED COPPER	9	4
-Brand#51	PROMO BRUSHED COPPER	14	4
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-Brand#51	PROMO BURNISHED BRASS	49	4
-Brand#51	PROMO BURNISHED COPPER	14	4
-Brand#51	PROMO BURNISHED COPPER	36	4
-Brand#51	PROMO BURNISHED COPPER	45	4
-Brand#51	PROMO BURNISHED COPPER	49	4
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-Brand#51	PROMO BURNISHED NICKEL	36	4
-Brand#51	PROMO BURNISHED NICKEL	45	4
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-Brand#51	PROMO PLATED BRASS	45	4
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-Brand#51	PROMO PLATED COPPER	45	4
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-Brand#51	PROMO POLISHED BRASS	45	4
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-Brand#51	PROMO POLISHED COPPER	45	4
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-Brand#51	PROMO POLISHED NICKEL	14	4
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-Brand#51	PROMO POLISHED NICKEL	45	4
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-Brand#51	PROMO POLISHED STEEL	9	4
-Brand#51	PROMO POLISHED STEEL	14	4
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-Brand#51	PROMO POLISHED STEEL	49	4
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-Brand#51	SMALL ANODIZED BRASS	19	4
-Brand#51	SMALL ANODIZED BRASS	36	4
-Brand#51	SMALL ANODIZED BRASS	49	4
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-Brand#51	SMALL ANODIZED COPPER	14	4
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-Brand#51	SMALL ANODIZED TIN	45	4
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-Brand#51	SMALL BRUSHED BRASS	36	4
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-Brand#51	SMALL BRUSHED NICKEL	19	4
-Brand#51	SMALL BRUSHED NICKEL	49	4
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-Brand#51	SMALL BRUSHED STEEL	45	4
-Brand#51	SMALL BRUSHED STEEL	49	4
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-Brand#51	SMALL BRUSHED TIN	14	4
-Brand#51	SMALL BRUSHED TIN	49	4
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-Brand#51	SMALL BURNISHED BRASS	45	4
-Brand#51	SMALL BURNISHED COPPER	9	4
-Brand#51	SMALL BURNISHED COPPER	49	4
-Brand#51	SMALL BURNISHED NICKEL	9	4
-Brand#51	SMALL BURNISHED NICKEL	36	4
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-Brand#51	SMALL BURNISHED STEEL	9	4
-Brand#51	SMALL BURNISHED STEEL	23	4
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-Brand#51	SMALL BURNISHED TIN	45	4
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-Brand#51	SMALL PLATED BRASS	14	4
-Brand#51	SMALL PLATED BRASS	45	4
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-Brand#51	SMALL PLATED NICKEL	45	4
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-Brand#51	SMALL PLATED STEEL	14	4
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-Brand#51	SMALL PLATED TIN	45	4
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-Brand#51	SMALL POLISHED BRASS	9	4
-Brand#51	SMALL POLISHED BRASS	14	4
-Brand#51	SMALL POLISHED BRASS	23	4
-Brand#51	SMALL POLISHED BRASS	49	4
-Brand#51	SMALL POLISHED COPPER	9	4
-Brand#51	SMALL POLISHED COPPER	14	4
-Brand#51	SMALL POLISHED COPPER	19	4
-Brand#51	SMALL POLISHED COPPER	49	4
-Brand#51	SMALL POLISHED NICKEL	9	4
-Brand#51	SMALL POLISHED NICKEL	14	4
-Brand#51	SMALL POLISHED NICKEL	36	4
-Brand#51	SMALL POLISHED NICKEL	45	4
-Brand#51	SMALL POLISHED NICKEL	49	4
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-Brand#51	SMALL POLISHED STEEL	19	4
-Brand#51	SMALL POLISHED STEEL	36	4
-Brand#51	SMALL POLISHED STEEL	49	4
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-Brand#51	STANDARD ANODIZED COPPER	9	4
-Brand#51	STANDARD ANODIZED COPPER	23	4
-Brand#51	STANDARD ANODIZED COPPER	45	4
-Brand#51	STANDARD ANODIZED NICKEL	14	4
-Brand#51	STANDARD ANODIZED STEEL	3	4
-Brand#51	STANDARD ANODIZED STEEL	14	4
-Brand#51	STANDARD ANODIZED STEEL	23	4
-Brand#51	STANDARD ANODIZED STEEL	45	4
-Brand#51	STANDARD ANODIZED TIN	3	4
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-Brand#51	STANDARD BRUSHED BRASS	23	4
-Brand#51	STANDARD BRUSHED BRASS	49	4
-Brand#51	STANDARD BRUSHED COPPER	9	4
-Brand#51	STANDARD BRUSHED COPPER	14	4
-Brand#51	STANDARD BRUSHED COPPER	49	4
-Brand#51	STANDARD BRUSHED NICKEL	3	4
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-Brand#51	STANDARD BURNISHED BRASS	36	4
-Brand#51	STANDARD BURNISHED BRASS	45	4
-Brand#51	STANDARD BURNISHED BRASS	49	4
-Brand#51	STANDARD BURNISHED COPPER	9	4
-Brand#51	STANDARD BURNISHED COPPER	19	4
-Brand#51	STANDARD BURNISHED COPPER	45	4
-Brand#51	STANDARD BURNISHED COPPER	49	4
-Brand#51	STANDARD BURNISHED NICKEL	45	4
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-Brand#51	STANDARD BURNISHED STEEL	49	4
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-Brand#51	STANDARD BURNISHED TIN	45	4
-Brand#51	STANDARD BURNISHED TIN	49	4
-Brand#51	STANDARD PLATED BRASS	9	4
-Brand#51	STANDARD PLATED BRASS	14	4
-Brand#51	STANDARD PLATED COPPER	3	4
-Brand#51	STANDARD PLATED COPPER	14	4
-Brand#51	STANDARD PLATED COPPER	23	4
-Brand#51	STANDARD PLATED COPPER	49	4
-Brand#51	STANDARD PLATED NICKEL	3	4
-Brand#51	STANDARD PLATED NICKEL	23	4
-Brand#51	STANDARD PLATED NICKEL	36	4
-Brand#51	STANDARD PLATED NICKEL	45	4
-Brand#51	STANDARD PLATED NICKEL	49	4
-Brand#51	STANDARD PLATED STEEL	3	4
-Brand#51	STANDARD PLATED STEEL	9	4
-Brand#51	STANDARD PLATED STEEL	14	4
-Brand#51	STANDARD PLATED STEEL	23	4
-Brand#51	STANDARD PLATED STEEL	36	4
-Brand#51	STANDARD PLATED STEEL	49	4
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-Brand#51	STANDARD PLATED TIN	49	4
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-Brand#51	STANDARD POLISHED BRASS	14	4
-Brand#51	STANDARD POLISHED BRASS	19	4
-Brand#51	STANDARD POLISHED BRASS	36	4
-Brand#51	STANDARD POLISHED BRASS	49	4
-Brand#51	STANDARD POLISHED COPPER	14	4
-Brand#51	STANDARD POLISHED COPPER	19	4
-Brand#51	STANDARD POLISHED COPPER	23	4
-Brand#51	STANDARD POLISHED COPPER	36	4
-Brand#51	STANDARD POLISHED NICKEL	14	4
-Brand#51	STANDARD POLISHED NICKEL	23	4
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-Brand#51	STANDARD POLISHED STEEL	23	4
-Brand#51	STANDARD POLISHED TIN	9	4
-Brand#51	STANDARD POLISHED TIN	36	4
-Brand#51	STANDARD POLISHED TIN	45	4
-Brand#52	ECONOMY ANODIZED BRASS	23	4
-Brand#52	ECONOMY ANODIZED COPPER	3	4
-Brand#52	ECONOMY ANODIZED COPPER	9	4
-Brand#52	ECONOMY ANODIZED COPPER	14	4
-Brand#52	ECONOMY ANODIZED COPPER	45	4
-Brand#52	ECONOMY ANODIZED COPPER	49	4
-Brand#52	ECONOMY ANODIZED NICKEL	19	4
-Brand#52	ECONOMY ANODIZED NICKEL	36	4
-Brand#52	ECONOMY ANODIZED NICKEL	49	4
-Brand#52	ECONOMY ANODIZED STEEL	9	4
-Brand#52	ECONOMY ANODIZED STEEL	45	4
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-Brand#52	ECONOMY BRUSHED BRASS	3	4
-Brand#52	ECONOMY BRUSHED BRASS	23	4
-Brand#52	ECONOMY BRUSHED COPPER	3	4
-Brand#52	ECONOMY BRUSHED COPPER	9	4
-Brand#52	ECONOMY BRUSHED COPPER	14	4
-Brand#52	ECONOMY BRUSHED COPPER	36	4
-Brand#52	ECONOMY BRUSHED NICKEL	14	4
-Brand#52	ECONOMY BRUSHED NICKEL	19	4
-Brand#52	ECONOMY BRUSHED NICKEL	36	4
-Brand#52	ECONOMY BRUSHED NICKEL	49	4
-Brand#52	ECONOMY BRUSHED STEEL	45	4
-Brand#52	ECONOMY BRUSHED STEEL	49	4
-Brand#52	ECONOMY BRUSHED TIN	3	4
-Brand#52	ECONOMY BRUSHED TIN	19	4
-Brand#52	ECONOMY BRUSHED TIN	23	4
-Brand#52	ECONOMY BURNISHED BRASS	3	4
-Brand#52	ECONOMY BURNISHED BRASS	9	4
-Brand#52	ECONOMY BURNISHED BRASS	14	4
-Brand#52	ECONOMY BURNISHED BRASS	19	4
-Brand#52	ECONOMY BURNISHED BRASS	23	4
-Brand#52	ECONOMY BURNISHED BRASS	36	4
-Brand#52	ECONOMY BURNISHED BRASS	45	4
-Brand#52	ECONOMY BURNISHED BRASS	49	4
-Brand#52	ECONOMY BURNISHED COPPER	23	4
-Brand#52	ECONOMY BURNISHED COPPER	36	4
-Brand#52	ECONOMY BURNISHED COPPER	49	4
-Brand#52	ECONOMY BURNISHED NICKEL	3	4
-Brand#52	ECONOMY BURNISHED NICKEL	9	4
-Brand#52	ECONOMY BURNISHED STEEL	3	4
-Brand#52	ECONOMY BURNISHED STEEL	23	4
-Brand#52	ECONOMY BURNISHED STEEL	49	4
-Brand#52	ECONOMY BURNISHED TIN	9	4
-Brand#52	ECONOMY BURNISHED TIN	23	4
-Brand#52	ECONOMY BURNISHED TIN	36	4
-Brand#52	ECONOMY BURNISHED TIN	45	4
-Brand#52	ECONOMY PLATED BRASS	9	4
-Brand#52	ECONOMY PLATED COPPER	14	4
-Brand#52	ECONOMY PLATED COPPER	23	4
-Brand#52	ECONOMY PLATED COPPER	45	4
-Brand#52	ECONOMY PLATED NICKEL	9	4
-Brand#52	ECONOMY PLATED NICKEL	19	4
-Brand#52	ECONOMY PLATED STEEL	9	4
-Brand#52	ECONOMY PLATED STEEL	19	4
-Brand#52	ECONOMY PLATED STEEL	23	4
-Brand#52	ECONOMY PLATED STEEL	36	4
-Brand#52	ECONOMY PLATED TIN	45	4
-Brand#52	ECONOMY PLATED TIN	49	4
-Brand#52	ECONOMY POLISHED BRASS	9	4
-Brand#52	ECONOMY POLISHED COPPER	9	4
-Brand#52	ECONOMY POLISHED COPPER	36	4
-Brand#52	ECONOMY POLISHED NICKEL	3	4
-Brand#52	ECONOMY POLISHED NICKEL	9	4
-Brand#52	ECONOMY POLISHED NICKEL	36	4
-Brand#52	ECONOMY POLISHED NICKEL	49	4
-Brand#52	ECONOMY POLISHED STEEL	14	4
-Brand#52	ECONOMY POLISHED STEEL	19	4
-Brand#52	ECONOMY POLISHED STEEL	23	4
-Brand#52	ECONOMY POLISHED STEEL	36	4
-Brand#52	ECONOMY POLISHED TIN	3	4
-Brand#52	ECONOMY POLISHED TIN	9	4
-Brand#52	LARGE ANODIZED BRASS	19	4
-Brand#52	LARGE ANODIZED BRASS	36	4
-Brand#52	LARGE ANODIZED BRASS	49	4
-Brand#52	LARGE ANODIZED COPPER	3	4
-Brand#52	LARGE ANODIZED COPPER	9	4
-Brand#52	LARGE ANODIZED COPPER	19	4
-Brand#52	LARGE ANODIZED COPPER	23	4
-Brand#52	LARGE ANODIZED COPPER	36	4
-Brand#52	LARGE ANODIZED NICKEL	9	4
-Brand#52	LARGE ANODIZED NICKEL	14	4
-Brand#52	LARGE ANODIZED NICKEL	19	4
-Brand#52	LARGE ANODIZED NICKEL	49	4
-Brand#52	LARGE ANODIZED STEEL	3	4
-Brand#52	LARGE ANODIZED STEEL	14	4
-Brand#52	LARGE ANODIZED TIN	19	4
-Brand#52	LARGE ANODIZED TIN	23	4
-Brand#52	LARGE ANODIZED TIN	45	4
-Brand#52	LARGE ANODIZED TIN	49	4
-Brand#52	LARGE BRUSHED BRASS	9	4
-Brand#52	LARGE BRUSHED BRASS	36	4
-Brand#52	LARGE BRUSHED COPPER	9	4
-Brand#52	LARGE BRUSHED COPPER	19	4
-Brand#52	LARGE BRUSHED COPPER	45	4
-Brand#52	LARGE BRUSHED NICKEL	3	4
-Brand#52	LARGE BRUSHED NICKEL	9	4
-Brand#52	LARGE BRUSHED NICKEL	19	4
-Brand#52	LARGE BRUSHED NICKEL	23	4
-Brand#52	LARGE BRUSHED NICKEL	45	4
-Brand#52	LARGE BRUSHED NICKEL	49	4
-Brand#52	LARGE BRUSHED STEEL	9	4
-Brand#52	LARGE BRUSHED STEEL	45	4
-Brand#52	LARGE BRUSHED STEEL	49	4
-Brand#52	LARGE BRUSHED TIN	3	4
-Brand#52	LARGE BRUSHED TIN	14	4
-Brand#52	LARGE BRUSHED TIN	36	4
-Brand#52	LARGE BURNISHED BRASS	3	4
-Brand#52	LARGE BURNISHED BRASS	9	4
-Brand#52	LARGE BURNISHED BRASS	23	4
-Brand#52	LARGE BURNISHED BRASS	45	4
-Brand#52	LARGE BURNISHED COPPER	36	4
-Brand#52	LARGE BURNISHED COPPER	49	4
-Brand#52	LARGE BURNISHED NICKEL	14	4
-Brand#52	LARGE BURNISHED NICKEL	19	4
-Brand#52	LARGE BURNISHED NICKEL	36	4
-Brand#52	LARGE BURNISHED NICKEL	45	4
-Brand#52	LARGE BURNISHED STEEL	36	4
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-Brand#52	LARGE BURNISHED TIN	19	4
-Brand#52	LARGE BURNISHED TIN	36	4
-Brand#52	LARGE BURNISHED TIN	49	4
-Brand#52	LARGE PLATED BRASS	3	4
-Brand#52	LARGE PLATED COPPER	9	4
-Brand#52	LARGE PLATED COPPER	49	4
-Brand#52	LARGE PLATED NICKEL	9	4
-Brand#52	LARGE PLATED NICKEL	36	4
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-Brand#52	LARGE PLATED STEEL	19	4
-Brand#52	LARGE PLATED STEEL	45	4
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-Brand#52	LARGE POLISHED COPPER	23	4
-Brand#52	LARGE POLISHED COPPER	45	4
-Brand#52	LARGE POLISHED NICKEL	3	4
-Brand#52	LARGE POLISHED NICKEL	14	4
-Brand#52	LARGE POLISHED NICKEL	19	4
-Brand#52	LARGE POLISHED NICKEL	36	4
-Brand#52	LARGE POLISHED NICKEL	45	4
-Brand#52	LARGE POLISHED STEEL	3	4
-Brand#52	LARGE POLISHED STEEL	9	4
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-Brand#52	MEDIUM ANODIZED BRASS	23	4
-Brand#52	MEDIUM ANODIZED BRASS	45	4
-Brand#52	MEDIUM ANODIZED BRASS	49	4
-Brand#52	MEDIUM ANODIZED COPPER	9	4
-Brand#52	MEDIUM ANODIZED NICKEL	3	4
-Brand#52	MEDIUM ANODIZED NICKEL	19	4
-Brand#52	MEDIUM ANODIZED NICKEL	36	4
-Brand#52	MEDIUM ANODIZED STEEL	3	4
-Brand#52	MEDIUM ANODIZED STEEL	14	4
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-Brand#52	MEDIUM ANODIZED TIN	36	4
-Brand#52	MEDIUM BRUSHED BRASS	19	4
-Brand#52	MEDIUM BRUSHED COPPER	19	4
-Brand#52	MEDIUM BRUSHED COPPER	23	4
-Brand#52	MEDIUM BRUSHED COPPER	45	4
-Brand#52	MEDIUM BRUSHED NICKEL	3	4
-Brand#52	MEDIUM BRUSHED NICKEL	9	4
-Brand#52	MEDIUM BRUSHED STEEL	3	4
-Brand#52	MEDIUM BRUSHED STEEL	9	4
-Brand#52	MEDIUM BRUSHED STEEL	19	4
-Brand#52	MEDIUM BRUSHED TIN	3	4
-Brand#52	MEDIUM BRUSHED TIN	45	4
-Brand#52	MEDIUM BURNISHED BRASS	19	4
-Brand#52	MEDIUM BURNISHED BRASS	23	4
-Brand#52	MEDIUM BURNISHED BRASS	36	4
-Brand#52	MEDIUM BURNISHED COPPER	9	4
-Brand#52	MEDIUM BURNISHED COPPER	19	4
-Brand#52	MEDIUM BURNISHED COPPER	45	4
-Brand#52	MEDIUM BURNISHED COPPER	49	4
-Brand#52	MEDIUM BURNISHED NICKEL	3	4
-Brand#52	MEDIUM BURNISHED NICKEL	9	4
-Brand#52	MEDIUM BURNISHED STEEL	9	4
-Brand#52	MEDIUM BURNISHED STEEL	14	4
-Brand#52	MEDIUM BURNISHED STEEL	23	4
-Brand#52	MEDIUM BURNISHED STEEL	36	4
-Brand#52	MEDIUM BURNISHED STEEL	45	4
-Brand#52	MEDIUM BURNISHED STEEL	49	4
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-Brand#52	MEDIUM PLATED BRASS	3	4
-Brand#52	MEDIUM PLATED BRASS	9	4
-Brand#52	MEDIUM PLATED BRASS	19	4
-Brand#52	MEDIUM PLATED BRASS	36	4
-Brand#52	MEDIUM PLATED BRASS	45	4
-Brand#52	MEDIUM PLATED COPPER	3	4
-Brand#52	MEDIUM PLATED COPPER	45	4
-Brand#52	MEDIUM PLATED COPPER	49	4
-Brand#52	MEDIUM PLATED NICKEL	9	4
-Brand#52	MEDIUM PLATED NICKEL	14	4
-Brand#52	MEDIUM PLATED NICKEL	45	4
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-Brand#52	MEDIUM PLATED STEEL	9	4
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-Brand#52	MEDIUM PLATED STEEL	19	4
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-Brand#52	MEDIUM PLATED STEEL	45	4
-Brand#52	MEDIUM PLATED STEEL	49	4
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-Brand#52	PROMO ANODIZED BRASS	19	4
-Brand#52	PROMO ANODIZED COPPER	3	4
-Brand#52	PROMO ANODIZED COPPER	9	4
-Brand#52	PROMO ANODIZED COPPER	45	4
-Brand#52	PROMO ANODIZED NICKEL	14	4
-Brand#52	PROMO ANODIZED NICKEL	19	4
-Brand#52	PROMO ANODIZED NICKEL	23	4
-Brand#52	PROMO ANODIZED NICKEL	36	4
-Brand#52	PROMO ANODIZED NICKEL	45	4
-Brand#52	PROMO ANODIZED STEEL	3	4
-Brand#52	PROMO ANODIZED STEEL	14	4
-Brand#52	PROMO ANODIZED STEEL	45	4
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-Brand#52	PROMO BRUSHED BRASS	19	4
-Brand#52	PROMO BRUSHED BRASS	23	4
-Brand#52	PROMO BRUSHED BRASS	49	4
-Brand#52	PROMO BRUSHED COPPER	3	4
-Brand#52	PROMO BRUSHED COPPER	9	4
-Brand#52	PROMO BRUSHED COPPER	19	4
-Brand#52	PROMO BRUSHED COPPER	23	4
-Brand#52	PROMO BRUSHED COPPER	36	4
-Brand#52	PROMO BRUSHED NICKEL	14	4
-Brand#52	PROMO BRUSHED NICKEL	36	4
-Brand#52	PROMO BRUSHED STEEL	3	4
-Brand#52	PROMO BRUSHED STEEL	19	4
-Brand#52	PROMO BRUSHED STEEL	45	4
-Brand#52	PROMO BRUSHED STEEL	49	4
-Brand#52	PROMO BRUSHED TIN	3	4
-Brand#52	PROMO BRUSHED TIN	19	4
-Brand#52	PROMO BRUSHED TIN	23	4
-Brand#52	PROMO BRUSHED TIN	45	4
-Brand#52	PROMO BRUSHED TIN	49	4
-Brand#52	PROMO BURNISHED BRASS	45	4
-Brand#52	PROMO BURNISHED BRASS	49	4
-Brand#52	PROMO BURNISHED COPPER	9	4
-Brand#52	PROMO BURNISHED COPPER	36	4
-Brand#52	PROMO BURNISHED NICKEL	45	4
-Brand#52	PROMO BURNISHED STEEL	9	4
-Brand#52	PROMO BURNISHED STEEL	14	4
-Brand#52	PROMO BURNISHED STEEL	23	4
-Brand#52	PROMO BURNISHED STEEL	36	4
-Brand#52	PROMO BURNISHED STEEL	49	4
-Brand#52	PROMO BURNISHED TIN	9	4
-Brand#52	PROMO BURNISHED TIN	14	4
-Brand#52	PROMO BURNISHED TIN	36	4
-Brand#52	PROMO BURNISHED TIN	49	4
-Brand#52	PROMO PLATED BRASS	19	4
-Brand#52	PROMO PLATED BRASS	23	4
-Brand#52	PROMO PLATED BRASS	36	4
-Brand#52	PROMO PLATED COPPER	19	4
-Brand#52	PROMO PLATED COPPER	23	4
-Brand#52	PROMO PLATED NICKEL	3	4
-Brand#52	PROMO PLATED STEEL	36	4
-Brand#52	PROMO PLATED STEEL	45	4
-Brand#52	PROMO PLATED TIN	14	4
-Brand#52	PROMO PLATED TIN	19	4
-Brand#52	PROMO PLATED TIN	49	4
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-Brand#52	PROMO POLISHED BRASS	49	4
-Brand#52	PROMO POLISHED COPPER	3	4
-Brand#52	PROMO POLISHED COPPER	9	4
-Brand#52	PROMO POLISHED NICKEL	3	4
-Brand#52	PROMO POLISHED NICKEL	9	4
-Brand#52	PROMO POLISHED NICKEL	19	4
-Brand#52	PROMO POLISHED NICKEL	36	4
-Brand#52	PROMO POLISHED NICKEL	45	4
-Brand#52	PROMO POLISHED STEEL	3	4
-Brand#52	PROMO POLISHED STEEL	9	4
-Brand#52	PROMO POLISHED STEEL	14	4
-Brand#52	PROMO POLISHED STEEL	36	4
-Brand#52	PROMO POLISHED TIN	36	4
-Brand#52	SMALL ANODIZED BRASS	49	4
-Brand#52	SMALL ANODIZED COPPER	49	4
-Brand#52	SMALL ANODIZED NICKEL	9	4
-Brand#52	SMALL ANODIZED NICKEL	23	4
-Brand#52	SMALL ANODIZED NICKEL	49	4
-Brand#52	SMALL ANODIZED STEEL	9	4
-Brand#52	SMALL ANODIZED STEEL	19	4
-Brand#52	SMALL ANODIZED STEEL	49	4
-Brand#52	SMALL ANODIZED TIN	3	4
-Brand#52	SMALL BRUSHED BRASS	3	4
-Brand#52	SMALL BRUSHED BRASS	23	4
-Brand#52	SMALL BRUSHED BRASS	45	4
-Brand#52	SMALL BRUSHED COPPER	3	4
-Brand#52	SMALL BRUSHED COPPER	19	4
-Brand#52	SMALL BRUSHED COPPER	36	4
-Brand#52	SMALL BRUSHED COPPER	45	4
-Brand#52	SMALL BRUSHED COPPER	49	4
-Brand#52	SMALL BRUSHED NICKEL	3	4
-Brand#52	SMALL BRUSHED NICKEL	23	4
-Brand#52	SMALL BRUSHED NICKEL	36	4
-Brand#52	SMALL BRUSHED NICKEL	45	4
-Brand#52	SMALL BRUSHED STEEL	3	4
-Brand#52	SMALL BRUSHED STEEL	14	4
-Brand#52	SMALL BRUSHED STEEL	23	4
-Brand#52	SMALL BRUSHED TIN	9	4
-Brand#52	SMALL BRUSHED TIN	14	4
-Brand#52	SMALL BURNISHED BRASS	3	4
-Brand#52	SMALL BURNISHED BRASS	23	4
-Brand#52	SMALL BURNISHED BRASS	36	4
-Brand#52	SMALL BURNISHED BRASS	49	4
-Brand#52	SMALL BURNISHED COPPER	3	4
-Brand#52	SMALL BURNISHED COPPER	36	4
-Brand#52	SMALL BURNISHED COPPER	49	4
-Brand#52	SMALL BURNISHED NICKEL	23	4
-Brand#52	SMALL BURNISHED STEEL	36	4
-Brand#52	SMALL BURNISHED STEEL	45	4
-Brand#52	SMALL BURNISHED STEEL	49	4
-Brand#52	SMALL BURNISHED TIN	9	4
-Brand#52	SMALL BURNISHED TIN	19	4
-Brand#52	SMALL BURNISHED TIN	23	4
-Brand#52	SMALL BURNISHED TIN	45	4
-Brand#52	SMALL BURNISHED TIN	49	4
-Brand#52	SMALL PLATED BRASS	14	4
-Brand#52	SMALL PLATED BRASS	19	4
-Brand#52	SMALL PLATED COPPER	9	4
-Brand#52	SMALL PLATED COPPER	45	4
-Brand#52	SMALL PLATED NICKEL	9	4
-Brand#52	SMALL PLATED NICKEL	49	4
-Brand#52	SMALL PLATED STEEL	9	4
-Brand#52	SMALL PLATED STEEL	49	4
-Brand#52	SMALL PLATED TIN	9	4
-Brand#52	SMALL PLATED TIN	45	4
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-Brand#52	SMALL POLISHED BRASS	9	4
-Brand#52	SMALL POLISHED BRASS	36	4
-Brand#52	SMALL POLISHED BRASS	45	4
-Brand#52	SMALL POLISHED COPPER	3	4
-Brand#52	SMALL POLISHED COPPER	14	4
-Brand#52	SMALL POLISHED COPPER	23	4
-Brand#52	SMALL POLISHED NICKEL	14	4
-Brand#52	SMALL POLISHED NICKEL	23	4
-Brand#52	SMALL POLISHED NICKEL	36	4
-Brand#52	SMALL POLISHED NICKEL	45	4
-Brand#52	SMALL POLISHED NICKEL	49	4
-Brand#52	SMALL POLISHED STEEL	45	4
-Brand#52	SMALL POLISHED TIN	3	4
-Brand#52	SMALL POLISHED TIN	23	4
-Brand#52	SMALL POLISHED TIN	36	4
-Brand#52	SMALL POLISHED TIN	45	4
-Brand#52	SMALL POLISHED TIN	49	4
-Brand#52	STANDARD ANODIZED BRASS	3	4
-Brand#52	STANDARD ANODIZED BRASS	19	4
-Brand#52	STANDARD ANODIZED BRASS	36	4
-Brand#52	STANDARD ANODIZED COPPER	14	4
-Brand#52	STANDARD ANODIZED COPPER	23	4
-Brand#52	STANDARD ANODIZED NICKEL	9	4
-Brand#52	STANDARD ANODIZED NICKEL	19	4
-Brand#52	STANDARD ANODIZED NICKEL	36	4
-Brand#52	STANDARD ANODIZED NICKEL	45	4
-Brand#52	STANDARD ANODIZED NICKEL	49	4
-Brand#52	STANDARD ANODIZED STEEL	9	4
-Brand#52	STANDARD ANODIZED STEEL	36	4
-Brand#52	STANDARD ANODIZED STEEL	45	4
-Brand#52	STANDARD ANODIZED TIN	9	4
-Brand#52	STANDARD ANODIZED TIN	23	4
-Brand#52	STANDARD ANODIZED TIN	36	4
-Brand#52	STANDARD ANODIZED TIN	49	4
-Brand#52	STANDARD BRUSHED BRASS	9	4
-Brand#52	STANDARD BRUSHED BRASS	23	4
-Brand#52	STANDARD BRUSHED BRASS	45	4
-Brand#52	STANDARD BRUSHED BRASS	49	4
-Brand#52	STANDARD BRUSHED COPPER	23	4
-Brand#52	STANDARD BRUSHED COPPER	49	4
-Brand#52	STANDARD BRUSHED NICKEL	45	4
-Brand#52	STANDARD BRUSHED STEEL	3	4
-Brand#52	STANDARD BRUSHED STEEL	19	4
-Brand#52	STANDARD BRUSHED STEEL	36	4
-Brand#52	STANDARD BRUSHED STEEL	45	4
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-Brand#54	ECONOMY ANODIZED BRASS	49	4
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-Brand#54	ECONOMY ANODIZED COPPER	23	4
-Brand#54	ECONOMY ANODIZED COPPER	36	4
-Brand#54	ECONOMY ANODIZED COPPER	45	4
-Brand#54	ECONOMY ANODIZED COPPER	49	4
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-Brand#54	ECONOMY ANODIZED STEEL	36	4
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-Brand#54	ECONOMY BURNISHED NICKEL	45	4
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-Brand#54	ECONOMY PLATED BRASS	36	4
-Brand#54	ECONOMY PLATED BRASS	45	4
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-Brand#54	ECONOMY PLATED STEEL	45	4
-Brand#54	ECONOMY PLATED STEEL	49	4
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-Brand#54	LARGE ANODIZED BRASS	36	4
-Brand#54	LARGE ANODIZED BRASS	49	4
-Brand#54	LARGE ANODIZED COPPER	19	4
-Brand#54	LARGE ANODIZED COPPER	23	4
-Brand#54	LARGE ANODIZED COPPER	36	4
-Brand#54	LARGE ANODIZED NICKEL	3	4
-Brand#54	LARGE ANODIZED NICKEL	14	4
-Brand#54	LARGE ANODIZED NICKEL	19	4
-Brand#54	LARGE ANODIZED NICKEL	36	4
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-Brand#54	LARGE ANODIZED STEEL	19	4
-Brand#54	LARGE ANODIZED STEEL	36	4
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-Brand#54	LARGE BRUSHED COPPER	49	4
-Brand#54	LARGE BRUSHED NICKEL	14	4
-Brand#54	LARGE BRUSHED NICKEL	19	4
-Brand#54	LARGE BRUSHED NICKEL	45	4
-Brand#54	LARGE BRUSHED NICKEL	49	4
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-Brand#54	LARGE BURNISHED NICKEL	45	4
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-Brand#54	LARGE BURNISHED STEEL	36	4
-Brand#54	LARGE BURNISHED STEEL	45	4
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-Brand#54	LARGE PLATED NICKEL	19	4
-Brand#54	LARGE PLATED NICKEL	45	4
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-Brand#54	LARGE POLISHED BRASS	36	4
-Brand#54	LARGE POLISHED COPPER	14	4
-Brand#54	LARGE POLISHED COPPER	23	4
-Brand#54	LARGE POLISHED COPPER	36	4
-Brand#54	LARGE POLISHED COPPER	49	4
-Brand#54	LARGE POLISHED NICKEL	45	4
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-Brand#54	MEDIUM ANODIZED BRASS	45	4
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-Brand#54	MEDIUM ANODIZED COPPER	14	4
-Brand#54	MEDIUM ANODIZED COPPER	36	4
-Brand#54	MEDIUM ANODIZED COPPER	45	4
-Brand#54	MEDIUM ANODIZED NICKEL	9	4
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-Brand#54	MEDIUM ANODIZED STEEL	45	4
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-Brand#54	MEDIUM BRUSHED COPPER	45	4
-Brand#54	MEDIUM BRUSHED COPPER	49	4
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-Brand#54	MEDIUM BRUSHED NICKEL	19	4
-Brand#54	MEDIUM BRUSHED NICKEL	45	4
-Brand#54	MEDIUM BRUSHED NICKEL	49	4
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-Brand#54	MEDIUM BRUSHED STEEL	19	4
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-Brand#54	MEDIUM BURNISHED BRASS	14	4
-Brand#54	MEDIUM BURNISHED BRASS	19	4
-Brand#54	MEDIUM BURNISHED BRASS	45	4
-Brand#54	MEDIUM BURNISHED COPPER	9	4
-Brand#54	MEDIUM BURNISHED COPPER	49	4
-Brand#54	MEDIUM BURNISHED NICKEL	3	4
-Brand#54	MEDIUM BURNISHED NICKEL	14	4
-Brand#54	MEDIUM BURNISHED NICKEL	23	4
-Brand#54	MEDIUM BURNISHED NICKEL	36	4
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-Brand#54	MEDIUM PLATED BRASS	45	4
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-Brand#54	MEDIUM PLATED STEEL	45	4
-Brand#54	MEDIUM PLATED STEEL	49	4
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-Brand#54	PROMO ANODIZED NICKEL	19	4
-Brand#54	PROMO ANODIZED NICKEL	45	4
-Brand#54	PROMO ANODIZED NICKEL	49	4
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-Brand#54	PROMO BRUSHED BRASS	45	4
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-Brand#54	PROMO BRUSHED COPPER	19	4
-Brand#54	PROMO BRUSHED COPPER	36	4
-Brand#54	PROMO BRUSHED NICKEL	14	4
-Brand#54	PROMO BRUSHED NICKEL	36	4
-Brand#54	PROMO BRUSHED NICKEL	45	4
-Brand#54	PROMO BRUSHED NICKEL	49	4
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-Brand#54	PROMO BURNISHED BRASS	23	4
-Brand#54	PROMO BURNISHED BRASS	45	4
-Brand#54	PROMO BURNISHED COPPER	3	4
-Brand#54	PROMO BURNISHED COPPER	19	4
-Brand#54	PROMO BURNISHED COPPER	23	4
-Brand#54	PROMO BURNISHED COPPER	36	4
-Brand#54	PROMO BURNISHED COPPER	45	4
-Brand#54	PROMO BURNISHED NICKEL	3	4
-Brand#54	PROMO BURNISHED NICKEL	14	4
-Brand#54	PROMO BURNISHED STEEL	19	4
-Brand#54	PROMO BURNISHED STEEL	45	4
-Brand#54	PROMO BURNISHED STEEL	49	4
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-Brand#54	PROMO PLATED BRASS	9	4
-Brand#54	PROMO PLATED BRASS	14	4
-Brand#54	PROMO PLATED BRASS	36	4
-Brand#54	PROMO PLATED COPPER	3	4
-Brand#54	PROMO PLATED COPPER	14	4
-Brand#54	PROMO PLATED COPPER	19	4
-Brand#54	PROMO PLATED NICKEL	23	4
-Brand#54	PROMO PLATED NICKEL	36	4
-Brand#54	PROMO PLATED NICKEL	45	4
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-Brand#54	PROMO PLATED STEEL	14	4
-Brand#54	PROMO PLATED STEEL	19	4
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-Brand#54	PROMO POLISHED BRASS	23	4
-Brand#54	PROMO POLISHED BRASS	45	4
-Brand#54	PROMO POLISHED BRASS	49	4
-Brand#54	PROMO POLISHED COPPER	9	4
-Brand#54	PROMO POLISHED COPPER	49	4
-Brand#54	PROMO POLISHED NICKEL	3	4
-Brand#54	PROMO POLISHED NICKEL	9	4
-Brand#54	PROMO POLISHED NICKEL	45	4
-Brand#54	PROMO POLISHED NICKEL	49	4
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-Brand#54	SMALL ANODIZED BRASS	49	4
-Brand#54	SMALL ANODIZED COPPER	9	4
-Brand#54	SMALL ANODIZED COPPER	36	4
-Brand#54	SMALL ANODIZED NICKEL	3	4
-Brand#54	SMALL ANODIZED NICKEL	9	4
-Brand#54	SMALL ANODIZED NICKEL	36	4
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-Brand#54	SMALL ANODIZED TIN	45	4
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-Brand#54	SMALL BRUSHED BRASS	14	4
-Brand#54	SMALL BRUSHED BRASS	45	4
-Brand#54	SMALL BRUSHED COPPER	3	4
-Brand#54	SMALL BRUSHED COPPER	14	4
-Brand#54	SMALL BRUSHED COPPER	36	4
-Brand#54	SMALL BRUSHED COPPER	49	4
-Brand#54	SMALL BRUSHED NICKEL	3	4
-Brand#54	SMALL BRUSHED NICKEL	9	4
-Brand#54	SMALL BRUSHED NICKEL	19	4
-Brand#54	SMALL BRUSHED NICKEL	23	4
-Brand#54	SMALL BRUSHED NICKEL	49	4
-Brand#54	SMALL BRUSHED STEEL	3	4
-Brand#54	SMALL BRUSHED STEEL	9	4
-Brand#54	SMALL BRUSHED STEEL	45	4
-Brand#54	SMALL BRUSHED STEEL	49	4
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-Brand#54	SMALL BURNISHED BRASS	19	4
-Brand#54	SMALL BURNISHED BRASS	36	4
-Brand#54	SMALL BURNISHED BRASS	49	4
-Brand#54	SMALL BURNISHED COPPER	9	4
-Brand#54	SMALL BURNISHED COPPER	36	4
-Brand#54	SMALL BURNISHED NICKEL	9	4
-Brand#54	SMALL BURNISHED NICKEL	19	4
-Brand#54	SMALL BURNISHED NICKEL	23	4
-Brand#54	SMALL BURNISHED NICKEL	45	4
-Brand#54	SMALL BURNISHED STEEL	14	4
-Brand#54	SMALL BURNISHED STEEL	23	4
-Brand#54	SMALL BURNISHED STEEL	36	4
-Brand#54	SMALL BURNISHED STEEL	49	4
-Brand#54	SMALL BURNISHED TIN	3	4
-Brand#54	SMALL BURNISHED TIN	14	4
-Brand#54	SMALL BURNISHED TIN	36	4
-Brand#54	SMALL BURNISHED TIN	45	4
-Brand#54	SMALL PLATED BRASS	36	4
-Brand#54	SMALL PLATED BRASS	45	4
-Brand#54	SMALL PLATED BRASS	49	4
-Brand#54	SMALL PLATED COPPER	9	4
-Brand#54	SMALL PLATED COPPER	49	4
-Brand#54	SMALL PLATED NICKEL	3	4
-Brand#54	SMALL PLATED NICKEL	19	4
-Brand#54	SMALL PLATED NICKEL	49	4
-Brand#54	SMALL PLATED STEEL	3	4
-Brand#54	SMALL PLATED STEEL	9	4
-Brand#54	SMALL PLATED STEEL	19	4
-Brand#54	SMALL PLATED STEEL	36	4
-Brand#54	SMALL PLATED STEEL	45	4
-Brand#54	SMALL PLATED TIN	9	4
-Brand#54	SMALL PLATED TIN	49	4
-Brand#54	SMALL POLISHED BRASS	14	4
-Brand#54	SMALL POLISHED BRASS	23	4
-Brand#54	SMALL POLISHED BRASS	49	4
-Brand#54	SMALL POLISHED COPPER	9	4
-Brand#54	SMALL POLISHED COPPER	23	4
-Brand#54	SMALL POLISHED NICKEL	9	4
-Brand#54	SMALL POLISHED NICKEL	19	4
-Brand#54	SMALL POLISHED NICKEL	45	4
-Brand#54	SMALL POLISHED STEEL	14	4
-Brand#54	SMALL POLISHED STEEL	19	4
-Brand#54	SMALL POLISHED STEEL	36	4
-Brand#54	SMALL POLISHED STEEL	45	4
-Brand#54	SMALL POLISHED TIN	3	4
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-Brand#54	SMALL POLISHED TIN	14	4
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-Brand#54	STANDARD ANODIZED BRASS	36	4
-Brand#54	STANDARD ANODIZED BRASS	49	4
-Brand#54	STANDARD ANODIZED COPPER	3	4
-Brand#54	STANDARD ANODIZED COPPER	19	4
-Brand#54	STANDARD ANODIZED COPPER	45	4
-Brand#54	STANDARD ANODIZED NICKEL	14	4
-Brand#54	STANDARD ANODIZED NICKEL	45	4
-Brand#54	STANDARD ANODIZED STEEL	9	4
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-Brand#54	STANDARD ANODIZED STEEL	36	4
-Brand#54	STANDARD ANODIZED STEEL	45	4
-Brand#54	STANDARD ANODIZED TIN	3	4
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-Brand#54	STANDARD ANODIZED TIN	49	4
-Brand#54	STANDARD BRUSHED BRASS	3	4
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-Brand#54	STANDARD BRUSHED COPPER	3	4
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-Brand#54	STANDARD BRUSHED NICKEL	19	4
-Brand#54	STANDARD BRUSHED NICKEL	45	4
-Brand#54	STANDARD BRUSHED STEEL	3	4
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-Brand#54	STANDARD BURNISHED BRASS	49	4
-Brand#54	STANDARD BURNISHED COPPER	14	4
-Brand#54	STANDARD BURNISHED COPPER	23	4
-Brand#54	STANDARD BURNISHED NICKEL	9	4
-Brand#54	STANDARD BURNISHED NICKEL	19	4
-Brand#54	STANDARD BURNISHED NICKEL	36	4
-Brand#54	STANDARD BURNISHED STEEL	3	4
-Brand#54	STANDARD BURNISHED STEEL	9	4
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-Brand#55	ECONOMY POLISHED BRASS	36	4
-Brand#55	ECONOMY POLISHED BRASS	45	4
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-Brand#55	ECONOMY POLISHED NICKEL	23	4
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-Brand#55	LARGE ANODIZED STEEL	45	4
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-Brand#55	LARGE POLISHED COPPER	45	4
-Brand#55	LARGE POLISHED COPPER	49	4
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-Brand#55	LARGE POLISHED STEEL	49	4
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-Brand#55	MEDIUM ANODIZED BRASS	45	4
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-Brand#55	MEDIUM ANODIZED STEEL	45	4
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-Brand#55	MEDIUM BRUSHED COPPER	19	4
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-Brand#55	PROMO BRUSHED COPPER	36	4
-Brand#55	PROMO BRUSHED COPPER	45	4
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-Brand#55	PROMO BURNISHED BRASS	19	4
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-Brand#55	PROMO BURNISHED COPPER	49	4
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-Brand#55	PROMO BURNISHED NICKEL	23	4
-Brand#55	PROMO BURNISHED NICKEL	45	4
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-Brand#55	PROMO PLATED BRASS	49	4
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-Brand#55	PROMO PLATED STEEL	45	4
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-Brand#55	PROMO POLISHED COPPER	45	4
-Brand#55	PROMO POLISHED COPPER	49	4
-Brand#55	PROMO POLISHED NICKEL	3	4
-Brand#55	PROMO POLISHED NICKEL	14	4
-Brand#55	PROMO POLISHED NICKEL	19	4
-Brand#55	PROMO POLISHED NICKEL	23	4
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-Brand#55	PROMO POLISHED STEEL	45	4
-Brand#55	PROMO POLISHED STEEL	49	4
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-Brand#55	SMALL ANODIZED NICKEL	36	4
-Brand#55	SMALL ANODIZED NICKEL	45	4
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-Brand#55	SMALL ANODIZED TIN	36	4
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-Brand#55	SMALL BRUSHED BRASS	36	4
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-Brand#55	SMALL BRUSHED COPPER	9	4
-Brand#55	SMALL BRUSHED COPPER	19	4
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-Brand#55	SMALL BRUSHED NICKEL	23	4
-Brand#55	SMALL BRUSHED NICKEL	45	4
-Brand#55	SMALL BRUSHED NICKEL	49	4
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-Brand#55	SMALL BRUSHED STEEL	45	4
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-Brand#55	SMALL BURNISHED BRASS	23	4
-Brand#55	SMALL BURNISHED COPPER	3	4
-Brand#55	SMALL BURNISHED COPPER	9	4
-Brand#55	SMALL BURNISHED COPPER	36	4
-Brand#55	SMALL BURNISHED NICKEL	9	4
-Brand#55	SMALL BURNISHED NICKEL	19	4
-Brand#55	SMALL BURNISHED NICKEL	36	4
-Brand#55	SMALL BURNISHED NICKEL	45	4
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-Brand#55	SMALL PLATED COPPER	14	4
-Brand#55	SMALL PLATED COPPER	36	4
-Brand#55	SMALL PLATED COPPER	49	4
-Brand#55	SMALL PLATED NICKEL	14	4
-Brand#55	SMALL PLATED NICKEL	49	4
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-Brand#55	SMALL POLISHED BRASS	49	4
-Brand#55	SMALL POLISHED COPPER	19	4
-Brand#55	SMALL POLISHED COPPER	23	4
-Brand#55	SMALL POLISHED COPPER	36	4
-Brand#55	SMALL POLISHED COPPER	45	4
-Brand#55	SMALL POLISHED COPPER	49	4
-Brand#55	SMALL POLISHED NICKEL	9	4
-Brand#55	SMALL POLISHED NICKEL	14	4
-Brand#55	SMALL POLISHED NICKEL	19	4
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-Brand#55	SMALL POLISHED NICKEL	45	4
-Brand#55	SMALL POLISHED NICKEL	49	4
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-Brand#55	SMALL POLISHED STEEL	45	4
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-Brand#55	STANDARD ANODIZED BRASS	49	4
-Brand#55	STANDARD ANODIZED COPPER	9	4
-Brand#55	STANDARD ANODIZED COPPER	14	4
-Brand#55	STANDARD ANODIZED COPPER	45	4
-Brand#55	STANDARD ANODIZED NICKEL	3	4
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-Brand#55	STANDARD ANODIZED NICKEL	45	4
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-Brand#55	STANDARD BRUSHED NICKEL	3	4
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index 6812974f4c..0000000000
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q21.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q21.out
deleted file mode 100644
index bb3ce3afcb..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q21.out
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--- This file is automatically generated. You should know what you did if you want to edit this
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/sql/q22.out b/regression-test/data/datev2/tpch_sf1_p2/sql/q22.out
deleted file mode 100644
index 83be7986e2..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/sql/q22.out
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--- This file is automatically generated. You should know what you did if you want to edit this
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q01.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q01.out
deleted file mode 100644
index 427013f68c..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q01.out
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--- This file is automatically generated. You should know what you did if you want to edit this
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q02.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q02.out
deleted file mode 100644
index 3a7252f5f8..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q02.out
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-8376.52	Supplier#000005306	UNITED KINGDOM	190267	Manufacturer#5	9t8Y8 QqSIsoADPt6NLdk,TP5zyRx41oBUlgoGc9	33-632-514-7931	ly final accounts sleep special, regular requests. furiously regular
-8348.74	Supplier#000008851	FRANCE	66344	Manufacturer#4	nWxi7GwEbjhw1	16-796-240-2472	 boldly final deposits. regular, even instructions detect slyly. fluffily unusual pinto bea
-8338.58	Supplier#000007269	FRANCE	17268	Manufacturer#4	ZwhJSwABUoiB04,3	16-267-277-4365	iously final accounts. even pinto beans cajole slyly regular
-8328.46	Supplier#000001744	ROMANIA	69237	Manufacturer#5	oLo3fV64q2,FKHa3p,qHnS7Yzv,ps8	29-330-728-5873	ep carefully-- even, careful packages are slyly along t
-8307.93	Supplier#000003142	GERMANY	18139	Manufacturer#1	dqblvV8dCNAorGlJ	17-595-447-6026	olites wake furiously regular decoys. final requests nod 
-8231.61	Supplier#000009558	RUSSIA	192000	Manufacturer#2	mcdgen,yT1iJDHDS5fV	32-762-137-5858	 foxes according to the furi
-8152.61	Supplier#000002731	ROMANIA	15227	Manufacturer#4	 nluXJCuY1tu	29-805-463-2030	 special requests. even, regular warhorses affix among the final gr
-8109.09	Supplier#000009186	FRANCE	99185	Manufacturer#1	wgfosrVPexl9pEXWywaqlBMDYYf	16-668-570-1402	tions haggle slyly about the sil
-8102.62	Supplier#000003347	UNITED KINGDOM	18344	Manufacturer#5	m CtXS2S16i	33-454-274-8532	egrate with the slyly bold instructions. special foxes haggle silently among the
-8046.07	Supplier#000008780	FRANCE	191222	Manufacturer#3	AczzuE0UK9osj ,Lx0Jmh	16-473-215-6395	onic platelets cajole after the regular instructions. permanently bold excuses
-8042.09	Supplier#000003245	RUSSIA	135705	Manufacturer#4	Dh8Ikg39onrbOL4DyTfGw8a9oKUX3d9Y	32-836-132-8872	osits. packages cajole slyly. furiously regular deposits cajole slyly. q
-8042.09	Supplier#000003245	RUSSIA	150729	Manufacturer#1	Dh8Ikg39onrbOL4DyTfGw8a9oKUX3d9Y	32-836-132-8872	osits. packages cajole slyly. furiously regular deposits cajole slyly. q
-7992.40	Supplier#000006108	FRANCE	118574	Manufacturer#1	8tBydnTDwUqfBfFV4l3	16-974-998-8937	 ironic ideas? fluffily even instructions wake. blithel
-7980.65	Supplier#000001288	FRANCE	13784	Manufacturer#4	zE,7HgVPrCn	16-646-464-8247	ully bold courts. escapades nag slyly. furiously fluffy theodo
-7950.37	Supplier#000008101	GERMANY	33094	Manufacturer#5	kkYvL6IuvojJgTNG IKkaXQDYgx8ILohj	17-627-663-8014	arefully unusual requests x-ray above the quickly final deposits. 
-7937.93	Supplier#000009012	ROMANIA	83995	Manufacturer#2	iUiTziH,Ek3i4lwSgunXMgrcTzwdb	29-250-925-9690	to the blithely ironic deposits nag sly
-7914.45	Supplier#000001013	RUSSIA	125988	Manufacturer#2	riRcntps4KEDtYScjpMIWeYF6mNnR	32-194-698-3365	 busily bold packages are dolphi
-7912.91	Supplier#000004211	GERMANY	159180	Manufacturer#5	2wQRVovHrm3,v03IKzfTd,1PYsFXQFFOG	17-266-947-7315	ay furiously regular platelets. cou
-7912.91	Supplier#000004211	GERMANY	184210	Manufacturer#4	2wQRVovHrm3,v03IKzfTd,1PYsFXQFFOG	17-266-947-7315	ay furiously regular platelets. cou
-7894.56	Supplier#000007981	GERMANY	85472	Manufacturer#4	NSJ96vMROAbeXP	17-963-404-3760	ic platelets affix after the furiously
-7887.08	Supplier#000009792	GERMANY	164759	Manufacturer#3	Y28ITVeYriT3kIGdV2K8fSZ V2UqT5H1Otz	17-988-938-4296	ckly around the carefully fluffy theodolites. slyly ironic pack
-7871.50	Supplier#000007206	RUSSIA	104695	Manufacturer#1	3w fNCnrVmvJjE95sgWZzvW	32-432-452-7731	ironic requests. furiously final theodolites cajole. final, express packages sleep. quickly reg
-7852.45	Supplier#000005864	RUSSIA	8363	Manufacturer#4	WCNfBPZeSXh3h,c	32-454-883-3821	usly unusual pinto beans. brave ideas sleep carefully quickly ironi
-7850.66	Supplier#000001518	UNITED KINGDOM	86501	Manufacturer#1	ONda3YJiHKJOC	33-730-383-3892	ifts haggle fluffily pending pai
-7843.52	Supplier#000006683	FRANCE	11680	Manufacturer#4	2Z0JGkiv01Y00oCFwUGfviIbhzCdy	16-464-517-8943	 express, final pinto beans x-ray slyly asymptotes. unusual, unusual
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q03.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q03.out
deleted file mode 100644
index 6d835ef826..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q03.out
+++ /dev/null
@@ -1,13 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q03 --
-2456423	406181.011100000	1995-03-05	0
-3459808	405838.698900000	1995-03-04	0
-492164	390324.061000000	1995-02-19	0
-1188320	384537.935900000	1995-03-09	0
-2435712	378673.055800000	1995-02-26	0
-4878020	378376.795200000	1995-03-12	0
-5521732	375153.921500000	1995-03-13	0
-2628192	373133.309400000	1995-02-22	0
-993600	371407.459500000	1995-03-05	0
-2300070	367371.145200000	1995-03-13	0
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q04.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q04.out
deleted file mode 100644
index 71bfdc87d2..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q04.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q04 --
-1-URGENT	10594
-2-HIGH	10476
-3-MEDIUM	10410
-4-NOT SPECIFIED	10556
-5-LOW	10487
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q05.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q05.out
deleted file mode 100644
index 2dc713c349..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q05.out
+++ /dev/null
@@ -1,8 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q05 --
-INDONESIA	55502041.169700000
-VIETNAM	55295086.996700000
-CHINA	53724494.256600000
-INDIA	52035512.000200000
-JAPAN	45410175.695400000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q06.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q06.out
deleted file mode 100644
index b8efd770de..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q06.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q06 --
-123141078.228300000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q07.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q07.out
deleted file mode 100644
index 18d652b772..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q07.out
+++ /dev/null
@@ -1,7 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q07 --
-FRANCE	GERMANY	1995	54639732.733600000
-FRANCE	GERMANY	1996	54633083.307600000
-GERMANY	FRANCE	1995	52531746.669700000
-GERMANY	FRANCE	1996	52520549.022400000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q08.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q08.out
deleted file mode 100644
index d0a1beeb7f..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q08.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q08 --
-1995	0.034435890
-1996	0.041485521
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q09.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q09.out
deleted file mode 100644
index 65d822bdb4..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q09.out
+++ /dev/null
@@ -1,178 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q09 --
-ALGERIA	1998	27136900.180300000
-ALGERIA	1997	48611833.496200000
-ALGERIA	1996	48285482.678200000
-ALGERIA	1995	44402273.599900000
-ALGERIA	1994	48694008.066800000
-ALGERIA	1993	46044207.783800000
-ALGERIA	1992	45636849.488100000
-ARGENTINA	1998	28341663.784800000
-ARGENTINA	1997	47143964.117600000
-ARGENTINA	1996	45255278.602100000
-ARGENTINA	1995	45631769.205400000
-ARGENTINA	1994	48268856.354700000
-ARGENTINA	1993	48605593.616200000
-ARGENTINA	1992	46654240.748700000
-BRAZIL	1998	26527736.396000000
-BRAZIL	1997	45640660.767700000
-BRAZIL	1996	45090647.163000000
-BRAZIL	1995	44015888.513200000
-BRAZIL	1994	44854218.893200000
-BRAZIL	1993	45766603.737900000
-BRAZIL	1992	45280216.802700000
-CANADA	1998	26828985.394400000
-CANADA	1997	44849954.318600000
-CANADA	1996	46307936.110800000
-CANADA	1995	47311993.044100000
-CANADA	1994	46691491.959600000
-CANADA	1993	46634791.112100000
-CANADA	1992	45873849.688200000
-CHINA	1998	27510180.165700000
-CHINA	1997	46123865.409700000
-CHINA	1996	49532807.060100000
-CHINA	1995	46734651.483800000
-CHINA	1994	46397896.609700000
-CHINA	1993	49634673.946300000
-CHINA	1992	46949457.642600000
-EGYPT	1998	28401491.796800000
-EGYPT	1997	47674857.678300000
-EGYPT	1996	47745727.545000000
-EGYPT	1995	45897160.678300000
-EGYPT	1994	47194895.228000000
-EGYPT	1993	49133627.647100000
-EGYPT	1992	47000574.502700000
-ETHIOPIA	1998	25135046.137700000
-ETHIOPIA	1997	43010596.083800000
-ETHIOPIA	1996	43636287.192200000
-ETHIOPIA	1995	43575757.334300000
-ETHIOPIA	1994	41597208.528300000
-ETHIOPIA	1993	42622804.161600000
-ETHIOPIA	1992	44385735.681300000
-FRANCE	1998	26210392.280400000
-FRANCE	1997	42392969.473100000
-FRANCE	1996	43306317.974900000
-FRANCE	1995	46377408.432800000
-FRANCE	1994	43447352.992200000
-FRANCE	1993	43729961.063900000
-FRANCE	1992	44052308.429000000
-GERMANY	1998	25991257.107100000
-GERMANY	1997	43968355.807900000
-GERMANY	1996	45882074.804900000
-GERMANY	1995	43314338.307700000
-GERMANY	1994	44616995.436900000
-GERMANY	1993	45126645.911300000
-GERMANY	1992	44361141.210700000
-INDIA	1998	29626417.237900000
-INDIA	1997	51386111.344800000
-INDIA	1996	47571018.512200000
-INDIA	1995	49344062.282900000
-INDIA	1994	50106952.426100000
-INDIA	1993	48112766.698700000
-INDIA	1992	47914303.123400000
-INDONESIA	1998	27734909.676300000
-INDONESIA	1997	44593812.986300000
-INDONESIA	1996	44746729.807800000
-INDONESIA	1995	45593622.699300000
-INDONESIA	1994	45988483.877200000
-INDONESIA	1993	46147963.789500000
-INDONESIA	1992	45185777.068800000
-IRAN	1998	26661608.930100000
-IRAN	1997	45019114.169600000
-IRAN	1996	45891397.099200000
-IRAN	1995	44414285.234800000
-IRAN	1994	43696360.479500000
-IRAN	1993	45362775.809400000
-IRAN	1992	43052338.414300000
-IRAQ	1998	31188498.191400000
-IRAQ	1997	48585307.522200000
-IRAQ	1996	50036593.840400000
-IRAQ	1995	48774801.727500000
-IRAQ	1994	48795847.231000000
-IRAQ	1993	47435691.508200000
-IRAQ	1992	47562355.657100000
-JAPAN	1998	24694102.172000000
-JAPAN	1997	42377052.345400000
-JAPAN	1996	40267778.909400000
-JAPAN	1995	40925317.465000000
-JAPAN	1994	41159518.305800000
-JAPAN	1993	39589074.277100000
-JAPAN	1992	39113493.905200000
-JORDAN	1998	23489867.789300000
-JORDAN	1997	41615962.661900000
-JORDAN	1996	41860855.468400000
-JORDAN	1995	39931672.090800000
-JORDAN	1994	40707555.463800000
-JORDAN	1993	39060405.465800000
-JORDAN	1992	41657604.268400000
-KENYA	1998	25566337.430300000
-KENYA	1997	43108847.902400000
-KENYA	1996	43482953.543000000
-KENYA	1995	42517988.981400000
-KENYA	1994	43612479.452300000
-KENYA	1993	42724038.757100000
-KENYA	1992	43217106.206800000
-MOROCCO	1998	24915496.875600000
-MOROCCO	1997	42698382.855000000
-MOROCCO	1996	42986113.504900000
-MOROCCO	1995	42316089.159300000
-MOROCCO	1994	43458604.602900000
-MOROCCO	1993	42672288.069900000
-MOROCCO	1992	42800781.641500000
-MOZAMBIQUE	1998	28279876.030100000
-MOZAMBIQUE	1997	51159216.229800000
-MOZAMBIQUE	1996	48072525.064500000
-MOZAMBIQUE	1995	48905200.600700000
-MOZAMBIQUE	1994	46092076.280500000
-MOZAMBIQUE	1993	48555926.266900000
-MOZAMBIQUE	1992	47809075.119200000
-PERU	1998	26713966.267800000
-PERU	1997	48324008.601100000
-PERU	1996	50310008.862900000
-PERU	1995	49647080.962900000
-PERU	1994	46420910.277300000
-PERU	1993	51536906.248700000
-PERU	1992	47711665.313700000
-ROMANIA	1998	27271993.101000000
-ROMANIA	1997	45063059.195300000
-ROMANIA	1996	47492335.032300000
-ROMANIA	1995	45710636.290900000
-ROMANIA	1994	46088041.106600000
-ROMANIA	1993	47515092.561300000
-ROMANIA	1992	44111439.804400000
-RUSSIA	1998	27935323.727100000
-RUSSIA	1997	48222347.292400000
-RUSSIA	1996	47553559.493200000
-RUSSIA	1995	46755990.097600000
-RUSSIA	1994	48000515.619100000
-RUSSIA	1993	48569624.508200000
-RUSSIA	1992	47672831.532900000
-SAUDI ARABIA	1998	27113516.842400000
-SAUDI ARABIA	1997	46690468.964900000
-SAUDI ARABIA	1996	47775782.667000000
-SAUDI ARABIA	1995	46657107.828700000
-SAUDI ARABIA	1994	48181672.810000000
-SAUDI ARABIA	1993	45692556.443800000
-SAUDI ARABIA	1992	48924913.271700000
-UNITED KINGDOM	1998	26366682.878600000
-UNITED KINGDOM	1997	44518130.185100000
-UNITED KINGDOM	1996	45539729.616600000
-UNITED KINGDOM	1995	46845879.339000000
-UNITED KINGDOM	1994	43081609.573700000
-UNITED KINGDOM	1993	44770146.755500000
-UNITED KINGDOM	1992	44123402.548400000
-UNITED STATES	1998	27826593.682500000
-UNITED STATES	1997	46638572.364800000
-UNITED STATES	1996	46688280.547400000
-UNITED STATES	1995	48951591.615600000
-UNITED STATES	1994	45099092.059800000
-UNITED STATES	1993	46181600.527800000
-UNITED STATES	1992	46168214.090100000
-VIETNAM	1998	27281931.001100000
-VIETNAM	1997	48735914.179600000
-VIETNAM	1996	47824595.904000000
-VIETNAM	1995	48235135.801600000
-VIETNAM	1994	47729256.332400000
-VIETNAM	1993	45352676.867200000
-VIETNAM	1992	47846355.648500000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q10.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q10.out
deleted file mode 100644
index 95eb4c7a73..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q10.out
+++ /dev/null
@@ -1,23 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q10 --
-57040	Customer#000057040	734235.245500000	632.87	JAPAN	Eioyzjf4pp	22-895-641-3466	sits. slyly regular requests sleep alongside of the regular inst
-143347	Customer#000143347	721002.694800000	2557.47	EGYPT	1aReFYv,Kw4	14-742-935-3718	ggle carefully enticing requests. final deposits use bold, bold pinto beans. ironic, idle re
-60838	Customer#000060838	679127.307700000	2454.77	BRAZIL	64EaJ5vMAHWJlBOxJklpNc2RJiWE	12-913-494-9813	 need to boost against the slyly regular account
-101998	Customer#000101998	637029.566700000	3790.89	UNITED KINGDOM	01c9CILnNtfOQYmZj	33-593-865-6378	ress foxes wake slyly after the bold excuses. ironic platelets are furiously carefully bold theodolites
-125341	Customer#000125341	633508.086000000	4983.51	GERMANY	S29ODD6bceU8QSuuEJznkNaK	17-582-695-5962	arefully even depths. blithely even excuses sleep furiously. foxes use except the dependencies. ca
-25501	Customer#000025501	620269.784900000	7725.04	ETHIOPIA	  W556MXuoiaYCCZamJI,Rn0B4ACUGdkQ8DZ	15-874-808-6793	he pending instructions wake carefully at the pinto beans. regular, final instructions along the slyly fina
-115831	Customer#000115831	596423.867200000	5098.10	FRANCE	rFeBbEEyk dl ne7zV5fDrmiq1oK09wV7pxqCgIc	16-715-386-3788	l somas sleep. furiously final deposits wake blithely regular pinto b
-84223	Customer#000084223	594998.023900000	528.65	UNITED KINGDOM	nAVZCs6BaWap rrM27N 2qBnzc5WBauxbA	33-442-824-8191	 slyly final deposits haggle regular, pending dependencies. pending escapades wake 
-54289	Customer#000054289	585603.391800000	5583.02	IRAN	vXCxoCsU0Bad5JQI ,oobkZ	20-834-292-4707	ely special foxes are quickly finally ironic p
-39922	Customer#000039922	584878.113400000	7321.11	GERMANY	Zgy4s50l2GKN4pLDPBU8m342gIw6R	17-147-757-8036	y final requests. furiously final foxes cajole blithely special platelets. f
-6226	Customer#000006226	576783.760600000	2230.09	UNITED KINGDOM	8gPu8,NPGkfyQQ0hcIYUGPIBWc,ybP5g,	33-657-701-3391	ending platelets along the express deposits cajole carefully final 
-922	Customer#000000922	576767.533300000	3869.25	GERMANY	Az9RFaut7NkPnc5zSD2PwHgVwr4jRzq	17-945-916-9648	luffily fluffy deposits. packages c
-147946	Customer#000147946	576455.132000000	2030.13	ALGERIA	iANyZHjqhyy7Ajah0pTrYyhJ	10-886-956-3143	ithely ironic deposits haggle blithely ironic requests. quickly regu
-115640	Customer#000115640	569341.193300000	6436.10	ARGENTINA	Vtgfia9qI 7EpHgecU1X	11-411-543-4901	ost slyly along the patterns; pinto be
-73606	Customer#000073606	568656.857800000	1785.67	JAPAN	xuR0Tro5yChDfOCrjkd2ol	22-437-653-6966	he furiously regular ideas. slowly
-110246	Customer#000110246	566842.981500000	7763.35	VIETNAM	7KzflgX MDOq7sOkI	31-943-426-9837	egular deposits serve blithely above the fl
-142549	Customer#000142549	563537.236800000	5085.99	INDONESIA	ChqEoK43OysjdHbtKCp6dKqjNyvvi9	19-955-562-2398	sleep pending courts. ironic deposits against the carefully unusual platelets cajole carefully express accounts.
-146149	Customer#000146149	557254.986500000	1791.55	ROMANIA	s87fvzFQpU	29-744-164-6487	 of the slyly silent accounts. quickly final accounts across the 
-52528	Customer#000052528	556397.350900000	551.79	ARGENTINA	NFztyTOR10UOJ	11-208-192-3205	 deposits hinder. blithely pending asymptotes breach slyly regular re
-23431	Customer#000023431	554269.536000000	3381.86	ROMANIA	HgiV0phqhaIa9aydNoIlb	29-915-458-2654	nusual, even instructions: furiously stealthy n
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q11.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q11.out
deleted file mode 100644
index e159e66a81..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q11.out
+++ /dev/null
@@ -1,1051 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q12.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q12.out
deleted file mode 100644
index 3b7b427cf8..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q12.out
+++ /dev/null
@@ -1,5 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q12 --
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-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q13.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q13.out
deleted file mode 100644
index 6cd958246c..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q13.out
+++ /dev/null
@@ -1,45 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q13 --
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q14.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q14.out
deleted file mode 100644
index 60c92752a5..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q14.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q14 --
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q15.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q15.out
deleted file mode 100644
index aac7812ca2..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q15.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q15 --
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q16.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q16.out
deleted file mode 100644
index 34ce386b0d..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q16.out
+++ /dev/null
@@ -1,18317 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q16 --
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-Brand#13	SMALL BRUSHED BRASS	49	8
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-Brand#13	SMALL BURNISHED BRASS	45	8
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-Brand#13	SMALL BURNISHED NICKEL	45	8
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-Brand#13	SMALL PLATED BRASS	49	8
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-Brand#13	SMALL PLATED COPPER	23	8
-Brand#13	SMALL PLATED COPPER	36	8
-Brand#13	SMALL PLATED NICKEL	14	8
-Brand#13	SMALL PLATED STEEL	19	8
-Brand#13	SMALL PLATED TIN	19	8
-Brand#13	SMALL POLISHED BRASS	45	8
-Brand#13	SMALL POLISHED COPPER	3	8
-Brand#13	SMALL POLISHED COPPER	49	8
-Brand#13	SMALL POLISHED NICKEL	3	8
-Brand#13	SMALL POLISHED STEEL	36	8
-Brand#13	SMALL POLISHED STEEL	45	8
-Brand#13	SMALL POLISHED STEEL	49	8
-Brand#13	STANDARD ANODIZED BRASS	49	8
-Brand#13	STANDARD ANODIZED COPPER	14	8
-Brand#13	STANDARD ANODIZED COPPER	36	8
-Brand#13	STANDARD ANODIZED NICKEL	19	8
-Brand#13	STANDARD ANODIZED STEEL	14	8
-Brand#13	STANDARD ANODIZED TIN	9	8
-Brand#13	STANDARD ANODIZED TIN	36	8
-Brand#13	STANDARD BRUSHED BRASS	36	8
-Brand#13	STANDARD BRUSHED COPPER	3	8
-Brand#13	STANDARD BRUSHED NICKEL	14	8
-Brand#13	STANDARD BRUSHED NICKEL	49	8
-Brand#13	STANDARD BRUSHED STEEL	9	8
-Brand#13	STANDARD BRUSHED STEEL	49	8
-Brand#13	STANDARD BRUSHED TIN	9	8
-Brand#13	STANDARD BURNISHED BRASS	23	8
-Brand#13	STANDARD BURNISHED BRASS	36	8
-Brand#13	STANDARD BURNISHED COPPER	49	8
-Brand#13	STANDARD BURNISHED NICKEL	3	8
-Brand#13	STANDARD BURNISHED NICKEL	14	8
-Brand#13	STANDARD PLATED BRASS	9	8
-Brand#13	STANDARD PLATED BRASS	23	8
-Brand#13	STANDARD PLATED BRASS	49	8
-Brand#13	STANDARD PLATED COPPER	36	8
-Brand#13	STANDARD PLATED NICKEL	3	8
-Brand#13	STANDARD PLATED STEEL	14	8
-Brand#13	STANDARD PLATED STEEL	49	8
-Brand#13	STANDARD PLATED TIN	14	8
-Brand#13	STANDARD PLATED TIN	36	8
-Brand#13	STANDARD POLISHED COPPER	14	8
-Brand#13	STANDARD POLISHED NICKEL	3	8
-Brand#13	STANDARD POLISHED NICKEL	36	8
-Brand#13	STANDARD POLISHED STEEL	14	8
-Brand#13	STANDARD POLISHED STEEL	23	8
-Brand#13	STANDARD POLISHED STEEL	36	8
-Brand#13	STANDARD POLISHED TIN	23	8
-Brand#14	ECONOMY ANODIZED BRASS	36	8
-Brand#14	ECONOMY ANODIZED COPPER	36	8
-Brand#14	ECONOMY ANODIZED COPPER	45	8
-Brand#14	ECONOMY ANODIZED NICKEL	23	8
-Brand#14	ECONOMY ANODIZED NICKEL	45	8
-Brand#14	ECONOMY ANODIZED STEEL	3	8
-Brand#14	ECONOMY ANODIZED STEEL	9	8
-Brand#14	ECONOMY ANODIZED STEEL	19	8
-Brand#14	ECONOMY ANODIZED TIN	19	8
-Brand#14	ECONOMY BRUSHED BRASS	3	8
-Brand#14	ECONOMY BRUSHED BRASS	14	8
-Brand#14	ECONOMY BRUSHED BRASS	49	8
-Brand#14	ECONOMY BRUSHED NICKEL	14	8
-Brand#14	ECONOMY BRUSHED STEEL	49	8
-Brand#14	ECONOMY BRUSHED TIN	3	8
-Brand#14	ECONOMY BRUSHED TIN	49	8
-Brand#14	ECONOMY BURNISHED BRASS	14	8
-Brand#14	ECONOMY BURNISHED COPPER	36	8
-Brand#14	ECONOMY BURNISHED STEEL	23	8
-Brand#14	ECONOMY BURNISHED STEEL	36	8
-Brand#14	ECONOMY BURNISHED TIN	19	8
-Brand#14	ECONOMY BURNISHED TIN	23	8
-Brand#14	ECONOMY BURNISHED TIN	36	8
-Brand#14	ECONOMY PLATED BRASS	36	8
-Brand#14	ECONOMY PLATED COPPER	3	8
-Brand#14	ECONOMY PLATED COPPER	9	8
-Brand#14	ECONOMY PLATED NICKEL	3	8
-Brand#14	ECONOMY PLATED STEEL	36	8
-Brand#14	ECONOMY PLATED TIN	9	8
-Brand#14	ECONOMY POLISHED BRASS	3	8
-Brand#14	ECONOMY POLISHED BRASS	23	8
-Brand#14	ECONOMY POLISHED BRASS	36	8
-Brand#14	ECONOMY POLISHED COPPER	14	8
-Brand#14	ECONOMY POLISHED STEEL	3	8
-Brand#14	ECONOMY POLISHED TIN	19	8
-Brand#14	LARGE ANODIZED BRASS	19	8
-Brand#14	LARGE ANODIZED COPPER	23	8
-Brand#14	LARGE ANODIZED NICKEL	9	8
-Brand#14	LARGE ANODIZED NICKEL	49	8
-Brand#14	LARGE ANODIZED STEEL	3	8
-Brand#14	LARGE ANODIZED STEEL	45	8
-Brand#14	LARGE ANODIZED TIN	9	8
-Brand#14	LARGE ANODIZED TIN	19	8
-Brand#14	LARGE ANODIZED TIN	23	8
-Brand#14	LARGE BRUSHED BRASS	23	8
-Brand#14	LARGE BRUSHED BRASS	45	8
-Brand#14	LARGE BRUSHED COPPER	49	8
-Brand#14	LARGE BRUSHED NICKEL	23	8
-Brand#14	LARGE BRUSHED NICKEL	45	8
-Brand#14	LARGE BRUSHED TIN	9	8
-Brand#14	LARGE BURNISHED BRASS	14	8
-Brand#14	LARGE BURNISHED COPPER	19	8
-Brand#14	LARGE BURNISHED NICKEL	3	8
-Brand#14	LARGE BURNISHED NICKEL	49	8
-Brand#14	LARGE BURNISHED STEEL	3	8
-Brand#14	LARGE BURNISHED STEEL	9	8
-Brand#14	LARGE BURNISHED STEEL	14	8
-Brand#14	LARGE BURNISHED STEEL	19	8
-Brand#14	LARGE BURNISHED STEEL	45	8
-Brand#14	LARGE BURNISHED TIN	19	8
-Brand#14	LARGE BURNISHED TIN	23	8
-Brand#14	LARGE BURNISHED TIN	45	8
-Brand#14	LARGE PLATED BRASS	23	8
-Brand#14	LARGE PLATED COPPER	36	8
-Brand#14	LARGE PLATED NICKEL	23	8
-Brand#14	LARGE PLATED NICKEL	49	8
-Brand#14	LARGE PLATED STEEL	49	8
-Brand#14	LARGE POLISHED BRASS	3	8
-Brand#14	LARGE POLISHED BRASS	9	8
-Brand#14	LARGE POLISHED BRASS	14	8
-Brand#14	LARGE POLISHED BRASS	19	8
-Brand#14	LARGE POLISHED BRASS	36	8
-Brand#14	LARGE POLISHED COPPER	9	8
-Brand#14	LARGE POLISHED COPPER	23	8
-Brand#14	LARGE POLISHED NICKEL	14	8
-Brand#14	LARGE POLISHED NICKEL	36	8
-Brand#14	LARGE POLISHED STEEL	23	8
-Brand#14	LARGE POLISHED TIN	36	8
-Brand#14	LARGE POLISHED TIN	45	8
-Brand#14	LARGE POLISHED TIN	49	8
-Brand#14	MEDIUM ANODIZED BRASS	14	8
-Brand#14	MEDIUM ANODIZED COPPER	9	8
-Brand#14	MEDIUM ANODIZED COPPER	19	8
-Brand#14	MEDIUM ANODIZED COPPER	36	8
-Brand#14	MEDIUM ANODIZED COPPER	49	8
-Brand#14	MEDIUM ANODIZED NICKEL	9	8
-Brand#14	MEDIUM ANODIZED NICKEL	36	8
-Brand#14	MEDIUM BRUSHED COPPER	9	8
-Brand#14	MEDIUM BRUSHED COPPER	23	8
-Brand#14	MEDIUM BRUSHED STEEL	49	8
-Brand#14	MEDIUM BRUSHED TIN	3	8
-Brand#14	MEDIUM BRUSHED TIN	9	8
-Brand#14	MEDIUM BURNISHED BRASS	19	8
-Brand#14	MEDIUM BURNISHED BRASS	23	8
-Brand#14	MEDIUM BURNISHED NICKEL	9	8
-Brand#14	MEDIUM BURNISHED NICKEL	19	8
-Brand#14	MEDIUM BURNISHED NICKEL	23	8
-Brand#14	MEDIUM BURNISHED NICKEL	49	8
-Brand#14	MEDIUM BURNISHED STEEL	36	8
-Brand#14	MEDIUM BURNISHED STEEL	49	8
-Brand#14	MEDIUM BURNISHED TIN	49	8
-Brand#14	MEDIUM PLATED BRASS	9	8
-Brand#14	MEDIUM PLATED BRASS	23	8
-Brand#14	MEDIUM PLATED BRASS	36	8
-Brand#14	MEDIUM PLATED BRASS	45	8
-Brand#14	MEDIUM PLATED BRASS	49	8
-Brand#14	MEDIUM PLATED NICKEL	23	8
-Brand#14	MEDIUM PLATED STEEL	36	8
-Brand#14	MEDIUM PLATED STEEL	49	8
-Brand#14	MEDIUM PLATED TIN	3	8
-Brand#14	MEDIUM PLATED TIN	14	8
-Brand#14	MEDIUM PLATED TIN	45	8
-Brand#14	PROMO ANODIZED BRASS	23	8
-Brand#14	PROMO ANODIZED BRASS	36	8
-Brand#14	PROMO ANODIZED COPPER	19	8
-Brand#14	PROMO ANODIZED COPPER	36	8
-Brand#14	PROMO ANODIZED COPPER	45	8
-Brand#14	PROMO ANODIZED STEEL	45	8
-Brand#14	PROMO ANODIZED TIN	14	8
-Brand#14	PROMO ANODIZED TIN	19	8
-Brand#14	PROMO BRUSHED BRASS	14	8
-Brand#14	PROMO BRUSHED BRASS	19	8
-Brand#14	PROMO BRUSHED BRASS	36	8
-Brand#14	PROMO BRUSHED BRASS	45	8
-Brand#14	PROMO BRUSHED COPPER	23	8
-Brand#14	PROMO BRUSHED COPPER	49	8
-Brand#14	PROMO BRUSHED NICKEL	19	8
-Brand#14	PROMO BRUSHED NICKEL	36	8
-Brand#14	PROMO BRUSHED STEEL	9	8
-Brand#14	PROMO BRUSHED STEEL	36	8
-Brand#14	PROMO BRUSHED STEEL	49	8
-Brand#14	PROMO BURNISHED BRASS	9	8
-Brand#14	PROMO BURNISHED BRASS	23	8
-Brand#14	PROMO BURNISHED BRASS	36	8
-Brand#14	PROMO BURNISHED BRASS	45	8
-Brand#14	PROMO BURNISHED NICKEL	9	8
-Brand#14	PROMO BURNISHED STEEL	36	8
-Brand#14	PROMO BURNISHED TIN	49	8
-Brand#14	PROMO PLATED BRASS	14	8
-Brand#14	PROMO PLATED BRASS	45	8
-Brand#14	PROMO PLATED COPPER	23	8
-Brand#14	PROMO PLATED NICKEL	9	8
-Brand#14	PROMO PLATED STEEL	3	8
-Brand#14	PROMO PLATED STEEL	14	8
-Brand#14	PROMO PLATED STEEL	19	8
-Brand#14	PROMO PLATED STEEL	49	8
-Brand#14	PROMO PLATED TIN	3	8
-Brand#14	PROMO PLATED TIN	9	8
-Brand#14	PROMO POLISHED BRASS	36	8
-Brand#14	PROMO POLISHED COPPER	3	8
-Brand#14	PROMO POLISHED NICKEL	3	8
-Brand#14	PROMO POLISHED NICKEL	45	8
-Brand#14	PROMO POLISHED TIN	9	8
-Brand#14	PROMO POLISHED TIN	49	8
-Brand#14	SMALL ANODIZED BRASS	9	8
-Brand#14	SMALL ANODIZED BRASS	14	8
-Brand#14	SMALL ANODIZED COPPER	14	8
-Brand#14	SMALL ANODIZED NICKEL	36	8
-Brand#14	SMALL ANODIZED STEEL	23	8
-Brand#14	SMALL ANODIZED TIN	19	8
-Brand#14	SMALL BRUSHED BRASS	19	8
-Brand#14	SMALL BRUSHED BRASS	45	8
-Brand#14	SMALL BRUSHED COPPER	36	8
-Brand#14	SMALL BRUSHED COPPER	49	8
-Brand#14	SMALL BRUSHED TIN	9	8
-Brand#14	SMALL BRUSHED TIN	14	8
-Brand#14	SMALL BRUSHED TIN	36	8
-Brand#14	SMALL BURNISHED BRASS	19	8
-Brand#14	SMALL BURNISHED BRASS	45	8
-Brand#14	SMALL BURNISHED COPPER	14	8
-Brand#14	SMALL BURNISHED COPPER	36	8
-Brand#14	SMALL BURNISHED NICKEL	36	8
-Brand#14	SMALL BURNISHED NICKEL	45	8
-Brand#14	SMALL BURNISHED STEEL	14	8
-Brand#14	SMALL BURNISHED STEEL	45	8
-Brand#14	SMALL BURNISHED TIN	19	8
-Brand#14	SMALL BURNISHED TIN	23	8
-Brand#14	SMALL PLATED BRASS	14	8
-Brand#14	SMALL PLATED COPPER	23	8
-Brand#14	SMALL PLATED NICKEL	19	8
-Brand#14	SMALL PLATED STEEL	14	8
-Brand#14	SMALL PLATED STEEL	36	8
-Brand#14	SMALL PLATED TIN	9	8
-Brand#14	SMALL PLATED TIN	49	8
-Brand#14	SMALL POLISHED BRASS	19	8
-Brand#14	SMALL POLISHED BRASS	36	8
-Brand#14	SMALL POLISHED BRASS	45	8
-Brand#14	SMALL POLISHED COPPER	3	8
-Brand#14	SMALL POLISHED NICKEL	9	8
-Brand#14	SMALL POLISHED NICKEL	19	8
-Brand#14	SMALL POLISHED STEEL	49	8
-Brand#14	SMALL POLISHED TIN	3	8
-Brand#14	SMALL POLISHED TIN	36	8
-Brand#14	STANDARD ANODIZED BRASS	3	8
-Brand#14	STANDARD ANODIZED COPPER	3	8
-Brand#14	STANDARD ANODIZED COPPER	23	8
-Brand#14	STANDARD ANODIZED STEEL	9	8
-Brand#14	STANDARD BRUSHED BRASS	19	8
-Brand#14	STANDARD BRUSHED COPPER	3	8
-Brand#14	STANDARD BRUSHED NICKEL	3	8
-Brand#14	STANDARD BRUSHED STEEL	23	8
-Brand#14	STANDARD BRUSHED TIN	9	8
-Brand#14	STANDARD BRUSHED TIN	45	8
-Brand#14	STANDARD BRUSHED TIN	49	8
-Brand#14	STANDARD BURNISHED BRASS	9	8
-Brand#14	STANDARD BURNISHED BRASS	49	8
-Brand#14	STANDARD BURNISHED COPPER	14	8
-Brand#14	STANDARD BURNISHED NICKEL	3	8
-Brand#14	STANDARD BURNISHED NICKEL	19	8
-Brand#14	STANDARD BURNISHED NICKEL	23	8
-Brand#14	STANDARD BURNISHED STEEL	14	8
-Brand#14	STANDARD BURNISHED STEEL	19	8
-Brand#14	STANDARD BURNISHED STEEL	23	8
-Brand#14	STANDARD BURNISHED TIN	3	8
-Brand#14	STANDARD BURNISHED TIN	9	8
-Brand#14	STANDARD PLATED BRASS	9	8
-Brand#14	STANDARD PLATED BRASS	45	8
-Brand#14	STANDARD PLATED COPPER	14	8
-Brand#14	STANDARD PLATED NICKEL	14	8
-Brand#14	STANDARD PLATED STEEL	23	8
-Brand#14	STANDARD PLATED TIN	3	8
-Brand#14	STANDARD POLISHED BRASS	19	8
-Brand#14	STANDARD POLISHED COPPER	3	8
-Brand#14	STANDARD POLISHED COPPER	49	8
-Brand#14	STANDARD POLISHED NICKEL	3	8
-Brand#14	STANDARD POLISHED NICKEL	9	8
-Brand#14	STANDARD POLISHED NICKEL	19	8
-Brand#15	ECONOMY ANODIZED BRASS	3	8
-Brand#15	ECONOMY ANODIZED BRASS	9	8
-Brand#15	ECONOMY ANODIZED STEEL	3	8
-Brand#15	ECONOMY ANODIZED STEEL	14	8
-Brand#15	ECONOMY ANODIZED STEEL	36	8
-Brand#15	ECONOMY ANODIZED TIN	36	8
-Brand#15	ECONOMY BRUSHED BRASS	19	8
-Brand#15	ECONOMY BRUSHED NICKEL	3	8
-Brand#15	ECONOMY BRUSHED NICKEL	36	8
-Brand#15	ECONOMY BRUSHED NICKEL	45	8
-Brand#15	ECONOMY BRUSHED STEEL	23	8
-Brand#15	ECONOMY BRUSHED STEEL	45	8
-Brand#15	ECONOMY BRUSHED TIN	36	8
-Brand#15	ECONOMY BRUSHED TIN	49	8
-Brand#15	ECONOMY BURNISHED BRASS	9	8
-Brand#15	ECONOMY BURNISHED BRASS	14	8
-Brand#15	ECONOMY BURNISHED COPPER	23	8
-Brand#15	ECONOMY BURNISHED COPPER	45	8
-Brand#15	ECONOMY BURNISHED NICKEL	49	8
-Brand#15	ECONOMY PLATED BRASS	14	8
-Brand#15	ECONOMY PLATED COPPER	36	8
-Brand#15	ECONOMY PLATED COPPER	45	8
-Brand#15	ECONOMY POLISHED COPPER	49	8
-Brand#15	ECONOMY POLISHED NICKEL	9	8
-Brand#15	ECONOMY POLISHED NICKEL	14	8
-Brand#15	ECONOMY POLISHED STEEL	49	8
-Brand#15	LARGE ANODIZED BRASS	9	8
-Brand#15	LARGE ANODIZED BRASS	36	8
-Brand#15	LARGE ANODIZED COPPER	23	8
-Brand#15	LARGE ANODIZED COPPER	36	8
-Brand#15	LARGE ANODIZED COPPER	45	8
-Brand#15	LARGE ANODIZED NICKEL	23	8
-Brand#15	LARGE ANODIZED NICKEL	49	8
-Brand#15	LARGE ANODIZED TIN	14	8
-Brand#15	LARGE BRUSHED BRASS	9	8
-Brand#15	LARGE BRUSHED COPPER	3	8
-Brand#15	LARGE BRUSHED COPPER	14	8
-Brand#15	LARGE BRUSHED STEEL	19	8
-Brand#15	LARGE BRUSHED STEEL	23	8
-Brand#15	LARGE BRUSHED TIN	3	8
-Brand#15	LARGE BRUSHED TIN	9	8
-Brand#15	LARGE BRUSHED TIN	19	8
-Brand#15	LARGE BRUSHED TIN	49	8
-Brand#15	LARGE BURNISHED BRASS	9	8
-Brand#15	LARGE BURNISHED BRASS	14	8
-Brand#15	LARGE BURNISHED BRASS	19	8
-Brand#15	LARGE BURNISHED COPPER	23	8
-Brand#15	LARGE BURNISHED COPPER	45	8
-Brand#15	LARGE BURNISHED NICKEL	36	8
-Brand#15	LARGE BURNISHED STEEL	36	8
-Brand#15	LARGE BURNISHED STEEL	49	8
-Brand#15	LARGE BURNISHED TIN	49	8
-Brand#15	LARGE PLATED COPPER	19	8
-Brand#15	LARGE PLATED COPPER	45	8
-Brand#15	LARGE PLATED NICKEL	14	8
-Brand#15	LARGE PLATED STEEL	9	8
-Brand#15	LARGE PLATED TIN	49	8
-Brand#15	LARGE POLISHED BRASS	23	8
-Brand#15	LARGE POLISHED STEEL	36	8
-Brand#15	LARGE POLISHED STEEL	49	8
-Brand#15	LARGE POLISHED TIN	19	8
-Brand#15	MEDIUM ANODIZED BRASS	3	8
-Brand#15	MEDIUM ANODIZED BRASS	9	8
-Brand#15	MEDIUM ANODIZED BRASS	19	8
-Brand#15	MEDIUM ANODIZED BRASS	23	8
-Brand#15	MEDIUM ANODIZED COPPER	36	8
-Brand#15	MEDIUM ANODIZED NICKEL	45	8
-Brand#15	MEDIUM ANODIZED STEEL	23	8
-Brand#15	MEDIUM ANODIZED TIN	14	8
-Brand#15	MEDIUM ANODIZED TIN	19	8
-Brand#15	MEDIUM ANODIZED TIN	23	8
-Brand#15	MEDIUM BRUSHED BRASS	3	8
-Brand#15	MEDIUM BRUSHED BRASS	23	8
-Brand#15	MEDIUM BRUSHED COPPER	49	8
-Brand#15	MEDIUM BRUSHED NICKEL	9	8
-Brand#15	MEDIUM BRUSHED TIN	9	8
-Brand#15	MEDIUM BRUSHED TIN	23	8
-Brand#15	MEDIUM BURNISHED BRASS	45	8
-Brand#15	MEDIUM BURNISHED COPPER	3	8
-Brand#15	MEDIUM BURNISHED COPPER	49	8
-Brand#15	MEDIUM BURNISHED NICKEL	19	8
-Brand#15	MEDIUM BURNISHED NICKEL	36	8
-Brand#15	MEDIUM BURNISHED NICKEL	49	8
-Brand#15	MEDIUM BURNISHED STEEL	23	8
-Brand#15	MEDIUM BURNISHED STEEL	49	8
-Brand#15	MEDIUM BURNISHED TIN	45	8
-Brand#15	MEDIUM PLATED BRASS	36	8
-Brand#15	MEDIUM PLATED NICKEL	23	8
-Brand#15	MEDIUM PLATED NICKEL	49	8
-Brand#15	MEDIUM PLATED STEEL	9	8
-Brand#15	MEDIUM PLATED STEEL	19	8
-Brand#15	MEDIUM PLATED STEEL	49	8
-Brand#15	MEDIUM PLATED TIN	19	8
-Brand#15	MEDIUM PLATED TIN	49	8
-Brand#15	PROMO ANODIZED BRASS	14	8
-Brand#15	PROMO ANODIZED BRASS	36	8
-Brand#15	PROMO ANODIZED COPPER	45	8
-Brand#15	PROMO ANODIZED NICKEL	36	8
-Brand#15	PROMO ANODIZED NICKEL	49	8
-Brand#15	PROMO ANODIZED STEEL	14	8
-Brand#15	PROMO BRUSHED BRASS	14	8
-Brand#15	PROMO BRUSHED COPPER	9	8
-Brand#15	PROMO BRUSHED COPPER	19	8
-Brand#15	PROMO BRUSHED NICKEL	9	8
-Brand#15	PROMO BRUSHED NICKEL	19	8
-Brand#15	PROMO BRUSHED NICKEL	23	8
-Brand#15	PROMO BRUSHED STEEL	14	8
-Brand#15	PROMO BRUSHED STEEL	23	8
-Brand#15	PROMO BRUSHED STEEL	49	8
-Brand#15	PROMO BRUSHED TIN	3	8
-Brand#15	PROMO BRUSHED TIN	23	8
-Brand#15	PROMO BRUSHED TIN	36	8
-Brand#15	PROMO BURNISHED BRASS	23	8
-Brand#15	PROMO BURNISHED BRASS	36	8
-Brand#15	PROMO BURNISHED COPPER	3	8
-Brand#15	PROMO BURNISHED COPPER	9	8
-Brand#15	PROMO BURNISHED COPPER	19	8
-Brand#15	PROMO BURNISHED NICKEL	23	8
-Brand#15	PROMO BURNISHED NICKEL	36	8
-Brand#15	PROMO BURNISHED NICKEL	49	8
-Brand#15	PROMO BURNISHED STEEL	9	8
-Brand#15	PROMO BURNISHED TIN	14	8
-Brand#15	PROMO BURNISHED TIN	45	8
-Brand#15	PROMO PLATED BRASS	36	8
-Brand#15	PROMO PLATED BRASS	49	8
-Brand#15	PROMO PLATED COPPER	3	8
-Brand#15	PROMO PLATED COPPER	9	8
-Brand#15	PROMO PLATED COPPER	14	8
-Brand#15	PROMO PLATED NICKEL	36	8
-Brand#15	PROMO PLATED NICKEL	45	8
-Brand#15	PROMO PLATED STEEL	14	8
-Brand#15	PROMO PLATED TIN	3	8
-Brand#15	PROMO PLATED TIN	9	8
-Brand#15	PROMO PLATED TIN	19	8
-Brand#15	PROMO POLISHED COPPER	3	8
-Brand#15	PROMO POLISHED COPPER	14	8
-Brand#15	PROMO POLISHED COPPER	19	8
-Brand#15	PROMO POLISHED COPPER	49	8
-Brand#15	PROMO POLISHED NICKEL	19	8
-Brand#15	PROMO POLISHED STEEL	3	8
-Brand#15	PROMO POLISHED STEEL	14	8
-Brand#15	PROMO POLISHED STEEL	19	8
-Brand#15	PROMO POLISHED TIN	23	8
-Brand#15	SMALL ANODIZED BRASS	14	8
-Brand#15	SMALL ANODIZED BRASS	19	8
-Brand#15	SMALL ANODIZED NICKEL	3	8
-Brand#15	SMALL ANODIZED NICKEL	14	8
-Brand#15	SMALL ANODIZED NICKEL	36	8
-Brand#15	SMALL ANODIZED STEEL	3	8
-Brand#15	SMALL ANODIZED TIN	45	8
-Brand#15	SMALL BRUSHED BRASS	3	8
-Brand#15	SMALL BRUSHED BRASS	9	8
-Brand#15	SMALL BRUSHED BRASS	19	8
-Brand#15	SMALL BRUSHED NICKEL	9	8
-Brand#15	SMALL BRUSHED NICKEL	49	8
-Brand#15	SMALL BRUSHED STEEL	14	8
-Brand#15	SMALL BRUSHED STEEL	23	8
-Brand#15	SMALL BRUSHED TIN	9	8
-Brand#15	SMALL BRUSHED TIN	23	8
-Brand#15	SMALL BRUSHED TIN	36	8
-Brand#15	SMALL BRUSHED TIN	45	8
-Brand#15	SMALL BURNISHED BRASS	19	8
-Brand#15	SMALL BURNISHED COPPER	14	8
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-Brand#22	MEDIUM BURNISHED BRASS	45	8
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-Brand#22	MEDIUM BURNISHED COPPER	45	8
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-Brand#22	PROMO BURNISHED COPPER	36	8
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-Brand#22	PROMO PLATED NICKEL	49	8
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-Brand#31	MEDIUM BURNISHED NICKEL	45	8
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-Brand#31	PROMO ANODIZED NICKEL	45	8
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-Brand#31	PROMO BURNISHED COPPER	14	8
-Brand#31	PROMO BURNISHED COPPER	19	8
-Brand#31	PROMO BURNISHED COPPER	36	8
-Brand#31	PROMO BURNISHED NICKEL	45	8
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-Brand#31	PROMO PLATED COPPER	36	8
-Brand#31	PROMO PLATED COPPER	49	8
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-Brand#31	PROMO POLISHED TIN	45	8
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-Brand#31	SMALL ANODIZED BRASS	36	8
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-Brand#31	SMALL ANODIZED COPPER	45	8
-Brand#31	SMALL ANODIZED NICKEL	14	8
-Brand#31	SMALL ANODIZED NICKEL	49	8
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-Brand#31	SMALL BURNISHED STEEL	36	8
-Brand#31	SMALL BURNISHED STEEL	49	8
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-Brand#31	SMALL PLATED COPPER	14	8
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-Brand#31	SMALL PLATED STEEL	14	8
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-Brand#31	SMALL POLISHED BRASS	14	8
-Brand#31	SMALL POLISHED BRASS	19	8
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-Brand#31	SMALL POLISHED COPPER	36	8
-Brand#31	SMALL POLISHED NICKEL	14	8
-Brand#31	SMALL POLISHED STEEL	49	8
-Brand#31	SMALL POLISHED TIN	23	8
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-Brand#33	PROMO POLISHED BRASS	49	8
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-Brand#35	MEDIUM ANODIZED TIN	45	8
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-Brand#35	MEDIUM PLATED BRASS	23	8
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-Brand#35	PROMO ANODIZED NICKEL	45	8
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-Brand#35	PROMO BURNISHED COPPER	9	8
-Brand#35	PROMO BURNISHED COPPER	14	8
-Brand#35	PROMO BURNISHED COPPER	19	8
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-Brand#35	PROMO BURNISHED TIN	45	8
-Brand#35	PROMO PLATED BRASS	19	8
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-Brand#35	PROMO PLATED NICKEL	9	8
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-Brand#35	PROMO PLATED TIN	45	8
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-Brand#42	LARGE ANODIZED COPPER	49	8
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-Brand#42	LARGE ANODIZED NICKEL	45	8
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-Brand#42	MEDIUM ANODIZED BRASS	49	8
-Brand#42	MEDIUM ANODIZED COPPER	3	8
-Brand#42	MEDIUM ANODIZED COPPER	19	8
-Brand#42	MEDIUM ANODIZED COPPER	49	8
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-Brand#42	MEDIUM ANODIZED STEEL	3	8
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-Brand#42	MEDIUM ANODIZED TIN	45	8
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-Brand#42	MEDIUM BRUSHED COPPER	49	8
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-Brand#42	MEDIUM BRUSHED STEEL	49	8
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-Brand#42	MEDIUM BURNISHED STEEL	9	8
-Brand#42	MEDIUM BURNISHED STEEL	14	8
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-Brand#42	PROMO ANODIZED TIN	3	8
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-Brand#42	PROMO BURNISHED BRASS	45	8
-Brand#42	PROMO BURNISHED BRASS	49	8
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-Brand#42	PROMO POLISHED BRASS	45	8
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-Brand#42	PROMO POLISHED NICKEL	9	8
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-Brand#42	SMALL ANODIZED COPPER	19	8
-Brand#42	SMALL ANODIZED COPPER	36	8
-Brand#42	SMALL ANODIZED NICKEL	14	8
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-Brand#42	SMALL BRUSHED COPPER	36	8
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-Brand#42	SMALL BRUSHED STEEL	9	8
-Brand#42	SMALL BRUSHED STEEL	14	8
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-Brand#42	SMALL BRUSHED STEEL	45	8
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-Brand#42	SMALL BRUSHED TIN	45	8
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-Brand#42	SMALL BURNISHED STEEL	14	8
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-Brand#42	SMALL PLATED STEEL	3	8
-Brand#42	SMALL PLATED STEEL	23	8
-Brand#42	SMALL PLATED STEEL	36	8
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-Brand#42	SMALL PLATED TIN	36	8
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-Brand#42	SMALL POLISHED BRASS	45	8
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-Brand#42	SMALL POLISHED NICKEL	19	8
-Brand#42	SMALL POLISHED NICKEL	45	8
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-Brand#42	SMALL POLISHED TIN	36	8
-Brand#42	SMALL POLISHED TIN	49	8
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-Brand#42	STANDARD ANODIZED STEEL	45	8
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-Brand#42	STANDARD BRUSHED BRASS	9	8
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-Brand#42	STANDARD BRUSHED COPPER	49	8
-Brand#42	STANDARD BRUSHED NICKEL	23	8
-Brand#42	STANDARD BRUSHED NICKEL	49	8
-Brand#42	STANDARD BRUSHED STEEL	23	8
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-Brand#42	STANDARD BURNISHED BRASS	14	8
-Brand#42	STANDARD BURNISHED BRASS	49	8
-Brand#42	STANDARD BURNISHED NICKEL	14	8
-Brand#42	STANDARD BURNISHED NICKEL	49	8
-Brand#42	STANDARD BURNISHED STEEL	36	8
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-Brand#42	STANDARD PLATED NICKEL	14	8
-Brand#42	STANDARD PLATED NICKEL	45	8
-Brand#42	STANDARD PLATED STEEL	14	8
-Brand#42	STANDARD PLATED STEEL	19	8
-Brand#42	STANDARD PLATED STEEL	36	8
-Brand#42	STANDARD PLATED STEEL	45	8
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-Brand#42	STANDARD PLATED TIN	14	8
-Brand#42	STANDARD POLISHED BRASS	19	8
-Brand#42	STANDARD POLISHED BRASS	36	8
-Brand#42	STANDARD POLISHED COPPER	14	8
-Brand#42	STANDARD POLISHED COPPER	19	8
-Brand#42	STANDARD POLISHED COPPER	49	8
-Brand#42	STANDARD POLISHED NICKEL	14	8
-Brand#42	STANDARD POLISHED NICKEL	23	8
-Brand#42	STANDARD POLISHED STEEL	23	8
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-Brand#42	STANDARD POLISHED TIN	23	8
-Brand#42	STANDARD POLISHED TIN	36	8
-Brand#43	ECONOMY ANODIZED BRASS	3	8
-Brand#43	ECONOMY ANODIZED NICKEL	3	8
-Brand#43	ECONOMY ANODIZED NICKEL	49	8
-Brand#43	ECONOMY ANODIZED STEEL	23	8
-Brand#43	ECONOMY ANODIZED STEEL	36	8
-Brand#43	ECONOMY ANODIZED TIN	49	8
-Brand#43	ECONOMY BRUSHED COPPER	45	8
-Brand#43	ECONOMY BRUSHED NICKEL	9	8
-Brand#43	ECONOMY BRUSHED NICKEL	14	8
-Brand#43	ECONOMY BRUSHED NICKEL	19	8
-Brand#43	ECONOMY BRUSHED NICKEL	49	8
-Brand#43	ECONOMY BRUSHED TIN	36	8
-Brand#43	ECONOMY BRUSHED TIN	45	8
-Brand#43	ECONOMY BURNISHED BRASS	19	8
-Brand#43	ECONOMY BURNISHED COPPER	14	8
-Brand#43	ECONOMY BURNISHED COPPER	36	8
-Brand#43	ECONOMY BURNISHED NICKEL	9	8
-Brand#43	ECONOMY BURNISHED NICKEL	14	8
-Brand#43	ECONOMY BURNISHED NICKEL	23	8
-Brand#43	ECONOMY BURNISHED NICKEL	45	8
-Brand#43	ECONOMY BURNISHED STEEL	3	8
-Brand#43	ECONOMY BURNISHED STEEL	36	8
-Brand#43	ECONOMY BURNISHED TIN	3	8
-Brand#43	ECONOMY BURNISHED TIN	49	8
-Brand#43	ECONOMY PLATED COPPER	19	8
-Brand#43	ECONOMY PLATED NICKEL	9	8
-Brand#43	ECONOMY PLATED STEEL	19	8
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-Brand#43	ECONOMY POLISHED COPPER	19	8
-Brand#43	ECONOMY POLISHED COPPER	36	8
-Brand#43	ECONOMY POLISHED NICKEL	19	8
-Brand#43	ECONOMY POLISHED NICKEL	36	8
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-Brand#43	LARGE ANODIZED BRASS	36	8
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-Brand#43	LARGE ANODIZED NICKEL	3	8
-Brand#43	LARGE ANODIZED NICKEL	23	8
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-Brand#43	LARGE ANODIZED STEEL	49	8
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-Brand#43	LARGE BRUSHED COPPER	19	8
-Brand#43	LARGE BRUSHED COPPER	36	8
-Brand#43	LARGE BRUSHED NICKEL	14	8
-Brand#43	LARGE BRUSHED NICKEL	19	8
-Brand#43	LARGE BRUSHED NICKEL	36	8
-Brand#43	LARGE BRUSHED NICKEL	49	8
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-Brand#43	LARGE BURNISHED BRASS	14	8
-Brand#43	LARGE BURNISHED BRASS	49	8
-Brand#43	LARGE BURNISHED COPPER	3	8
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-Brand#43	LARGE PLATED BRASS	45	8
-Brand#43	LARGE PLATED COPPER	36	8
-Brand#43	LARGE PLATED NICKEL	3	8
-Brand#43	LARGE PLATED NICKEL	14	8
-Brand#43	LARGE PLATED NICKEL	49	8
-Brand#43	LARGE PLATED STEEL	3	8
-Brand#43	LARGE PLATED STEEL	14	8
-Brand#43	LARGE PLATED STEEL	49	8
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-Brand#43	LARGE POLISHED COPPER	14	8
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-Brand#43	LARGE POLISHED STEEL	14	8
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-Brand#43	MEDIUM ANODIZED COPPER	23	8
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-Brand#43	MEDIUM BURNISHED NICKEL	36	8
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-Brand#43	MEDIUM PLATED BRASS	36	8
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-Brand#43	MEDIUM PLATED COPPER	49	8
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-Brand#43	PROMO ANODIZED BRASS	9	8
-Brand#43	PROMO ANODIZED BRASS	45	8
-Brand#43	PROMO ANODIZED NICKEL	14	8
-Brand#43	PROMO ANODIZED NICKEL	45	8
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-Brand#43	PROMO ANODIZED TIN	19	8
-Brand#43	PROMO ANODIZED TIN	49	8
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-Brand#43	PROMO BRUSHED NICKEL	19	8
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-Brand#43	PROMO BURNISHED BRASS	49	8
-Brand#43	PROMO BURNISHED COPPER	14	8
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-Brand#43	PROMO BURNISHED STEEL	49	8
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-Brand#43	PROMO BURNISHED TIN	36	8
-Brand#43	PROMO BURNISHED TIN	49	8
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-Brand#43	PROMO PLATED COPPER	45	8
-Brand#43	PROMO PLATED NICKEL	45	8
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-Brand#43	PROMO PLATED TIN	23	8
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-Brand#43	PROMO POLISHED COPPER	14	8
-Brand#43	PROMO POLISHED COPPER	36	8
-Brand#43	PROMO POLISHED NICKEL	14	8
-Brand#43	PROMO POLISHED NICKEL	19	8
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-Brand#43	PROMO POLISHED STEEL	23	8
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-Brand#43	PROMO POLISHED TIN	36	8
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-Brand#43	SMALL ANODIZED COPPER	19	8
-Brand#43	SMALL ANODIZED COPPER	49	8
-Brand#43	SMALL ANODIZED NICKEL	14	8
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-Brand#43	SMALL PLATED NICKEL	45	8
-Brand#43	SMALL PLATED NICKEL	49	8
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-Brand#43	SMALL POLISHED COPPER	19	8
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-Brand#43	SMALL POLISHED NICKEL	36	8
-Brand#43	SMALL POLISHED STEEL	45	8
-Brand#43	SMALL POLISHED STEEL	49	8
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-Brand#43	STANDARD ANODIZED COPPER	3	8
-Brand#43	STANDARD ANODIZED COPPER	9	8
-Brand#43	STANDARD ANODIZED COPPER	14	8
-Brand#43	STANDARD ANODIZED COPPER	49	8
-Brand#43	STANDARD ANODIZED NICKEL	49	8
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-Brand#43	STANDARD ANODIZED STEEL	45	8
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-Brand#43	STANDARD ANODIZED TIN	14	8
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-Brand#43	STANDARD BRUSHED BRASS	36	8
-Brand#43	STANDARD BRUSHED NICKEL	49	8
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-Brand#43	STANDARD BRUSHED TIN	45	8
-Brand#43	STANDARD BRUSHED TIN	49	8
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-Brand#43	STANDARD BURNISHED BRASS	49	8
-Brand#43	STANDARD BURNISHED COPPER	9	8
-Brand#43	STANDARD BURNISHED COPPER	14	8
-Brand#43	STANDARD BURNISHED COPPER	45	8
-Brand#43	STANDARD BURNISHED NICKEL	19	8
-Brand#43	STANDARD BURNISHED NICKEL	49	8
-Brand#43	STANDARD BURNISHED STEEL	9	8
-Brand#43	STANDARD BURNISHED STEEL	19	8
-Brand#43	STANDARD BURNISHED STEEL	45	8
-Brand#43	STANDARD BURNISHED TIN	19	8
-Brand#43	STANDARD PLATED COPPER	36	8
-Brand#43	STANDARD PLATED NICKEL	19	8
-Brand#43	STANDARD PLATED NICKEL	49	8
-Brand#43	STANDARD PLATED TIN	14	8
-Brand#43	STANDARD PLATED TIN	23	8
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-Brand#43	STANDARD POLISHED COPPER	45	8
-Brand#43	STANDARD POLISHED NICKEL	3	8
-Brand#43	STANDARD POLISHED NICKEL	14	8
-Brand#43	STANDARD POLISHED NICKEL	23	8
-Brand#43	STANDARD POLISHED NICKEL	36	8
-Brand#43	STANDARD POLISHED NICKEL	45	8
-Brand#43	STANDARD POLISHED STEEL	14	8
-Brand#43	STANDARD POLISHED STEEL	49	8
-Brand#44	ECONOMY ANODIZED BRASS	3	8
-Brand#44	ECONOMY ANODIZED COPPER	23	8
-Brand#44	ECONOMY ANODIZED COPPER	49	8
-Brand#44	ECONOMY ANODIZED NICKEL	23	8
-Brand#44	ECONOMY ANODIZED STEEL	19	8
-Brand#44	ECONOMY ANODIZED STEEL	45	8
-Brand#44	ECONOMY ANODIZED TIN	14	8
-Brand#44	ECONOMY ANODIZED TIN	36	8
-Brand#44	ECONOMY BRUSHED COPPER	23	8
-Brand#44	ECONOMY BRUSHED STEEL	9	8
-Brand#44	ECONOMY BRUSHED STEEL	19	8
-Brand#44	ECONOMY BRUSHED TIN	19	8
-Brand#44	ECONOMY BRUSHED TIN	49	8
-Brand#44	ECONOMY BURNISHED COPPER	3	8
-Brand#44	ECONOMY BURNISHED COPPER	9	8
-Brand#44	ECONOMY BURNISHED COPPER	14	8
-Brand#44	ECONOMY BURNISHED COPPER	23	8
-Brand#44	ECONOMY BURNISHED COPPER	49	8
-Brand#44	ECONOMY BURNISHED NICKEL	23	8
-Brand#44	ECONOMY BURNISHED NICKEL	49	8
-Brand#44	ECONOMY BURNISHED STEEL	9	8
-Brand#44	ECONOMY BURNISHED STEEL	19	8
-Brand#44	ECONOMY BURNISHED STEEL	49	8
-Brand#44	ECONOMY BURNISHED TIN	3	8
-Brand#44	ECONOMY BURNISHED TIN	19	8
-Brand#44	ECONOMY BURNISHED TIN	45	8
-Brand#44	ECONOMY PLATED COPPER	45	8
-Brand#44	ECONOMY PLATED NICKEL	23	8
-Brand#44	ECONOMY PLATED STEEL	14	8
-Brand#44	ECONOMY PLATED STEEL	23	8
-Brand#44	ECONOMY PLATED STEEL	36	8
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-Brand#44	ECONOMY POLISHED BRASS	36	8
-Brand#44	ECONOMY POLISHED COPPER	9	8
-Brand#44	ECONOMY POLISHED COPPER	19	8
-Brand#44	ECONOMY POLISHED NICKEL	23	8
-Brand#44	ECONOMY POLISHED NICKEL	36	8
-Brand#44	ECONOMY POLISHED NICKEL	45	8
-Brand#44	ECONOMY POLISHED NICKEL	49	8
-Brand#44	ECONOMY POLISHED STEEL	9	8
-Brand#44	ECONOMY POLISHED STEEL	49	8
-Brand#44	ECONOMY POLISHED TIN	3	8
-Brand#44	ECONOMY POLISHED TIN	19	8
-Brand#44	LARGE ANODIZED BRASS	3	8
-Brand#44	LARGE ANODIZED BRASS	23	8
-Brand#44	LARGE ANODIZED BRASS	49	8
-Brand#44	LARGE ANODIZED COPPER	9	8
-Brand#44	LARGE ANODIZED COPPER	45	8
-Brand#44	LARGE ANODIZED NICKEL	49	8
-Brand#44	LARGE ANODIZED STEEL	19	8
-Brand#44	LARGE ANODIZED TIN	14	8
-Brand#44	LARGE BRUSHED BRASS	14	8
-Brand#44	LARGE BRUSHED COPPER	14	8
-Brand#44	LARGE BRUSHED NICKEL	19	8
-Brand#44	LARGE BRUSHED NICKEL	23	8
-Brand#44	LARGE BRUSHED NICKEL	45	8
-Brand#44	LARGE BRUSHED TIN	23	8
-Brand#44	LARGE BURNISHED COPPER	9	8
-Brand#44	LARGE BURNISHED COPPER	19	8
-Brand#44	LARGE BURNISHED COPPER	23	8
-Brand#44	LARGE BURNISHED NICKEL	36	8
-Brand#44	LARGE BURNISHED NICKEL	49	8
-Brand#44	LARGE BURNISHED STEEL	23	8
-Brand#44	LARGE BURNISHED STEEL	49	8
-Brand#44	LARGE BURNISHED TIN	14	8
-Brand#44	LARGE PLATED BRASS	19	8
-Brand#44	LARGE PLATED COPPER	14	8
-Brand#44	LARGE PLATED COPPER	19	8
-Brand#44	LARGE PLATED NICKEL	9	8
-Brand#44	LARGE PLATED NICKEL	23	8
-Brand#44	LARGE PLATED STEEL	23	8
-Brand#44	LARGE PLATED TIN	14	8
-Brand#44	LARGE PLATED TIN	19	8
-Brand#44	LARGE PLATED TIN	36	8
-Brand#44	LARGE PLATED TIN	49	8
-Brand#44	LARGE POLISHED BRASS	9	8
-Brand#44	LARGE POLISHED BRASS	19	8
-Brand#44	LARGE POLISHED BRASS	23	8
-Brand#44	LARGE POLISHED COPPER	9	8
-Brand#44	LARGE POLISHED COPPER	49	8
-Brand#44	LARGE POLISHED NICKEL	23	8
-Brand#44	LARGE POLISHED NICKEL	36	8
-Brand#44	LARGE POLISHED STEEL	45	8
-Brand#44	LARGE POLISHED TIN	9	8
-Brand#44	MEDIUM ANODIZED BRASS	36	8
-Brand#44	MEDIUM ANODIZED COPPER	14	8
-Brand#44	MEDIUM ANODIZED COPPER	49	8
-Brand#44	MEDIUM ANODIZED NICKEL	19	8
-Brand#44	MEDIUM ANODIZED NICKEL	45	8
-Brand#44	MEDIUM ANODIZED STEEL	9	8
-Brand#44	MEDIUM ANODIZED STEEL	23	8
-Brand#44	MEDIUM ANODIZED TIN	45	8
-Brand#44	MEDIUM BRUSHED COPPER	14	8
-Brand#44	MEDIUM BRUSHED NICKEL	14	8
-Brand#44	MEDIUM BRUSHED STEEL	14	8
-Brand#44	MEDIUM BRUSHED STEEL	19	8
-Brand#44	MEDIUM BURNISHED BRASS	3	8
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-Brand#52	ECONOMY PLATED BRASS	45	8
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-Brand#52	ECONOMY POLISHED NICKEL	45	8
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-Brand#52	LARGE ANODIZED STEEL	36	8
-Brand#52	LARGE ANODIZED STEEL	45	8
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-Brand#52	LARGE BURNISHED COPPER	3	8
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-Brand#52	LARGE BURNISHED NICKEL	9	8
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-Brand#52	LARGE BURNISHED TIN	45	8
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-Brand#52	LARGE POLISHED NICKEL	49	8
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-Brand#53	PROMO PLATED COPPER	49	8
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-Brand#53	PROMO POLISHED NICKEL	45	8
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-Brand#53	SMALL BURNISHED COPPER	36	8
-Brand#53	SMALL BURNISHED COPPER	45	8
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-Brand#53	STANDARD ANODIZED BRASS	45	8
-Brand#53	STANDARD ANODIZED COPPER	36	8
-Brand#53	STANDARD ANODIZED NICKEL	9	8
-Brand#53	STANDARD ANODIZED NICKEL	19	8
-Brand#53	STANDARD ANODIZED STEEL	9	8
-Brand#53	STANDARD ANODIZED STEEL	19	8
-Brand#53	STANDARD ANODIZED STEEL	45	8
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-Brand#53	STANDARD ANODIZED TIN	49	8
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-Brand#53	STANDARD BRUSHED COPPER	49	8
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-Brand#53	STANDARD BRUSHED NICKEL	45	8
-Brand#53	STANDARD BRUSHED NICKEL	49	8
-Brand#53	STANDARD BRUSHED STEEL	23	8
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-Brand#53	STANDARD BURNISHED BRASS	49	8
-Brand#53	STANDARD BURNISHED COPPER	3	8
-Brand#53	STANDARD BURNISHED COPPER	23	8
-Brand#53	STANDARD BURNISHED COPPER	45	8
-Brand#53	STANDARD BURNISHED NICKEL	49	8
-Brand#53	STANDARD BURNISHED STEEL	19	8
-Brand#53	STANDARD BURNISHED STEEL	23	8
-Brand#53	STANDARD BURNISHED TIN	3	8
-Brand#53	STANDARD BURNISHED TIN	14	8
-Brand#53	STANDARD BURNISHED TIN	19	8
-Brand#53	STANDARD BURNISHED TIN	36	8
-Brand#53	STANDARD PLATED BRASS	19	8
-Brand#53	STANDARD PLATED COPPER	3	8
-Brand#53	STANDARD PLATED NICKEL	14	8
-Brand#53	STANDARD PLATED NICKEL	36	8
-Brand#53	STANDARD PLATED STEEL	14	8
-Brand#53	STANDARD PLATED STEEL	23	8
-Brand#53	STANDARD PLATED STEEL	45	8
-Brand#53	STANDARD PLATED TIN	9	8
-Brand#53	STANDARD PLATED TIN	14	8
-Brand#53	STANDARD PLATED TIN	19	8
-Brand#53	STANDARD PLATED TIN	23	8
-Brand#53	STANDARD POLISHED BRASS	36	8
-Brand#53	STANDARD POLISHED NICKEL	3	8
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-Brand#53	STANDARD POLISHED NICKEL	49	8
-Brand#53	STANDARD POLISHED TIN	9	8
-Brand#54	ECONOMY ANODIZED NICKEL	9	8
-Brand#54	ECONOMY ANODIZED NICKEL	23	8
-Brand#54	ECONOMY ANODIZED STEEL	19	8
-Brand#54	ECONOMY ANODIZED STEEL	23	8
-Brand#54	ECONOMY ANODIZED TIN	3	8
-Brand#54	ECONOMY ANODIZED TIN	45	8
-Brand#54	ECONOMY BRUSHED BRASS	14	8
-Brand#54	ECONOMY BRUSHED BRASS	19	8
-Brand#54	ECONOMY BRUSHED BRASS	23	8
-Brand#54	ECONOMY BRUSHED COPPER	9	8
-Brand#54	ECONOMY BRUSHED COPPER	45	8
-Brand#54	ECONOMY BRUSHED NICKEL	9	8
-Brand#54	ECONOMY BRUSHED NICKEL	23	8
-Brand#54	ECONOMY BRUSHED NICKEL	36	8
-Brand#54	ECONOMY BRUSHED NICKEL	49	8
-Brand#54	ECONOMY BRUSHED STEEL	3	8
-Brand#54	ECONOMY BRUSHED STEEL	14	8
-Brand#54	ECONOMY BURNISHED COPPER	9	8
-Brand#54	ECONOMY BURNISHED COPPER	36	8
-Brand#54	ECONOMY BURNISHED NICKEL	36	8
-Brand#54	ECONOMY BURNISHED STEEL	14	8
-Brand#54	ECONOMY BURNISHED STEEL	36	8
-Brand#54	ECONOMY BURNISHED TIN	9	8
-Brand#54	ECONOMY BURNISHED TIN	14	8
-Brand#54	ECONOMY BURNISHED TIN	23	8
-Brand#54	ECONOMY PLATED COPPER	14	8
-Brand#54	ECONOMY PLATED COPPER	19	8
-Brand#54	ECONOMY PLATED NICKEL	23	8
-Brand#54	ECONOMY PLATED NICKEL	45	8
-Brand#54	ECONOMY PLATED STEEL	3	8
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-Brand#54	ECONOMY POLISHED BRASS	23	8
-Brand#54	ECONOMY POLISHED BRASS	36	8
-Brand#54	ECONOMY POLISHED BRASS	49	8
-Brand#54	ECONOMY POLISHED COPPER	9	8
-Brand#54	ECONOMY POLISHED COPPER	19	8
-Brand#54	ECONOMY POLISHED COPPER	23	8
-Brand#54	ECONOMY POLISHED COPPER	45	8
-Brand#54	ECONOMY POLISHED STEEL	14	8
-Brand#54	ECONOMY POLISHED STEEL	19	8
-Brand#54	ECONOMY POLISHED STEEL	23	8
-Brand#54	LARGE ANODIZED COPPER	3	8
-Brand#54	LARGE ANODIZED COPPER	45	8
-Brand#54	LARGE ANODIZED STEEL	9	8
-Brand#54	LARGE ANODIZED STEEL	14	8
-Brand#54	LARGE ANODIZED TIN	23	8
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-Brand#55	PROMO PLATED BRASS	45	8
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-Brand#55	STANDARD BURNISHED BRASS	49	8
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-Brand#55	STANDARD BURNISHED NICKEL	45	8
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-Brand#55	STANDARD PLATED TIN	23	8
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-Brand#55	STANDARD POLISHED BRASS	49	8
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-Brand#55	STANDARD POLISHED STEEL	45	8
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-Brand#32	LARGE BRUSHED COPPER	3	7
-Brand#32	LARGE POLISHED NICKEL	23	7
-Brand#32	STANDARD BURNISHED STEEL	19	7
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-Brand#33	PROMO PLATED NICKEL	9	7
-Brand#33	SMALL ANODIZED COPPER	23	7
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-Brand#41	PROMO POLISHED BRASS	45	7
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-Brand#42	STANDARD PLATED COPPER	19	7
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-Brand#52	STANDARD ANODIZED STEEL	14	7
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-Brand#11	ECONOMY ANODIZED BRASS	45	4
-Brand#11	ECONOMY ANODIZED COPPER	3	4
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-Brand#11	ECONOMY ANODIZED COPPER	45	4
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-Brand#11	ECONOMY ANODIZED STEEL	45	4
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-Brand#11	ECONOMY BURNISHED BRASS	14	4
-Brand#11	ECONOMY BURNISHED BRASS	19	4
-Brand#11	ECONOMY BURNISHED BRASS	49	4
-Brand#11	ECONOMY BURNISHED COPPER	14	4
-Brand#11	ECONOMY BURNISHED COPPER	23	4
-Brand#11	ECONOMY BURNISHED COPPER	36	4
-Brand#11	ECONOMY BURNISHED NICKEL	9	4
-Brand#11	ECONOMY BURNISHED NICKEL	49	4
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-Brand#11	ECONOMY PLATED BRASS	36	4
-Brand#11	ECONOMY PLATED BRASS	49	4
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-Brand#11	ECONOMY PLATED NICKEL	49	4
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-Brand#11	ECONOMY PLATED STEEL	14	4
-Brand#11	ECONOMY PLATED STEEL	19	4
-Brand#11	ECONOMY PLATED STEEL	49	4
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-Brand#11	ECONOMY POLISHED BRASS	36	4
-Brand#11	ECONOMY POLISHED BRASS	49	4
-Brand#11	ECONOMY POLISHED COPPER	3	4
-Brand#11	ECONOMY POLISHED COPPER	19	4
-Brand#11	ECONOMY POLISHED COPPER	23	4
-Brand#11	ECONOMY POLISHED NICKEL	36	4
-Brand#11	ECONOMY POLISHED NICKEL	49	4
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-Brand#11	ECONOMY POLISHED STEEL	14	4
-Brand#11	ECONOMY POLISHED STEEL	23	4
-Brand#11	ECONOMY POLISHED STEEL	36	4
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-Brand#11	LARGE ANODIZED BRASS	23	4
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-Brand#11	LARGE ANODIZED COPPER	9	4
-Brand#11	LARGE ANODIZED COPPER	36	4
-Brand#11	LARGE ANODIZED COPPER	45	4
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-Brand#11	LARGE ANODIZED STEEL	49	4
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-Brand#11	LARGE ANODIZED TIN	19	4
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-Brand#11	LARGE BRUSHED BRASS	45	4
-Brand#11	LARGE BRUSHED COPPER	3	4
-Brand#11	LARGE BRUSHED NICKEL	9	4
-Brand#11	LARGE BRUSHED NICKEL	36	4
-Brand#11	LARGE BRUSHED NICKEL	49	4
-Brand#11	LARGE BRUSHED STEEL	3	4
-Brand#11	LARGE BRUSHED STEEL	9	4
-Brand#11	LARGE BRUSHED STEEL	23	4
-Brand#11	LARGE BRUSHED STEEL	45	4
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-Brand#11	LARGE BURNISHED BRASS	19	4
-Brand#11	LARGE BURNISHED BRASS	36	4
-Brand#11	LARGE BURNISHED COPPER	19	4
-Brand#11	LARGE BURNISHED COPPER	45	4
-Brand#11	LARGE BURNISHED NICKEL	3	4
-Brand#11	LARGE BURNISHED NICKEL	49	4
-Brand#11	LARGE BURNISHED STEEL	14	4
-Brand#11	LARGE BURNISHED STEEL	23	4
-Brand#11	LARGE BURNISHED STEEL	45	4
-Brand#11	LARGE BURNISHED TIN	3	4
-Brand#11	LARGE BURNISHED TIN	9	4
-Brand#11	LARGE BURNISHED TIN	36	4
-Brand#11	LARGE BURNISHED TIN	45	4
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-Brand#11	LARGE PLATED BRASS	36	4
-Brand#11	LARGE PLATED BRASS	45	4
-Brand#11	LARGE PLATED BRASS	49	4
-Brand#11	LARGE PLATED COPPER	3	4
-Brand#11	LARGE PLATED COPPER	9	4
-Brand#11	LARGE PLATED COPPER	14	4
-Brand#11	LARGE PLATED COPPER	19	4
-Brand#11	LARGE PLATED COPPER	23	4
-Brand#11	LARGE PLATED COPPER	36	4
-Brand#11	LARGE PLATED COPPER	45	4
-Brand#11	LARGE PLATED COPPER	49	4
-Brand#11	LARGE PLATED NICKEL	9	4
-Brand#11	LARGE PLATED NICKEL	14	4
-Brand#11	LARGE PLATED NICKEL	19	4
-Brand#11	LARGE PLATED NICKEL	49	4
-Brand#11	LARGE PLATED STEEL	9	4
-Brand#11	LARGE PLATED STEEL	49	4
-Brand#11	LARGE PLATED TIN	23	4
-Brand#11	LARGE PLATED TIN	45	4
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-Brand#11	LARGE POLISHED BRASS	14	4
-Brand#11	LARGE POLISHED BRASS	19	4
-Brand#11	LARGE POLISHED BRASS	23	4
-Brand#11	LARGE POLISHED BRASS	45	4
-Brand#11	LARGE POLISHED COPPER	3	4
-Brand#11	LARGE POLISHED COPPER	19	4
-Brand#11	LARGE POLISHED NICKEL	49	4
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-Brand#11	LARGE POLISHED STEEL	45	4
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-Brand#11	LARGE POLISHED TIN	14	4
-Brand#11	LARGE POLISHED TIN	45	4
-Brand#11	LARGE POLISHED TIN	49	4
-Brand#11	MEDIUM ANODIZED BRASS	19	4
-Brand#11	MEDIUM ANODIZED COPPER	3	4
-Brand#11	MEDIUM ANODIZED COPPER	45	4
-Brand#11	MEDIUM ANODIZED COPPER	49	4
-Brand#11	MEDIUM ANODIZED STEEL	14	4
-Brand#11	MEDIUM ANODIZED STEEL	23	4
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-Brand#11	MEDIUM ANODIZED TIN	19	4
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-Brand#11	MEDIUM BRUSHED BRASS	49	4
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-Brand#11	MEDIUM BRUSHED COPPER	49	4
-Brand#11	MEDIUM BRUSHED NICKEL	3	4
-Brand#11	MEDIUM BRUSHED NICKEL	19	4
-Brand#11	MEDIUM BRUSHED NICKEL	49	4
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-Brand#11	MEDIUM BRUSHED TIN	49	4
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-Brand#11	MEDIUM BURNISHED BRASS	14	4
-Brand#11	MEDIUM BURNISHED BRASS	36	4
-Brand#11	MEDIUM BURNISHED COPPER	3	4
-Brand#11	MEDIUM BURNISHED COPPER	36	4
-Brand#11	MEDIUM BURNISHED NICKEL	14	4
-Brand#11	MEDIUM BURNISHED NICKEL	19	4
-Brand#11	MEDIUM BURNISHED NICKEL	36	4
-Brand#11	MEDIUM BURNISHED NICKEL	45	4
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-Brand#11	MEDIUM BURNISHED STEEL	45	4
-Brand#11	MEDIUM BURNISHED STEEL	49	4
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-Brand#11	MEDIUM PLATED COPPER	45	4
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-Brand#11	MEDIUM PLATED NICKEL	49	4
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-Brand#11	PROMO ANODIZED BRASS	14	4
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-Brand#11	PROMO ANODIZED COPPER	23	4
-Brand#11	PROMO ANODIZED COPPER	45	4
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-Brand#11	PROMO ANODIZED NICKEL	19	4
-Brand#11	PROMO ANODIZED NICKEL	23	4
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-Brand#11	PROMO BRUSHED BRASS	23	4
-Brand#11	PROMO BRUSHED BRASS	45	4
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-Brand#11	PROMO BRUSHED COPPER	23	4
-Brand#11	PROMO BRUSHED COPPER	45	4
-Brand#11	PROMO BRUSHED COPPER	49	4
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-Brand#11	PROMO BRUSHED NICKEL	45	4
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-Brand#11	PROMO BURNISHED COPPER	19	4
-Brand#11	PROMO BURNISHED COPPER	36	4
-Brand#11	PROMO BURNISHED NICKEL	9	4
-Brand#11	PROMO BURNISHED NICKEL	19	4
-Brand#11	PROMO BURNISHED NICKEL	49	4
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-Brand#11	PROMO PLATED BRASS	36	4
-Brand#11	PROMO PLATED COPPER	9	4
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-Brand#11	PROMO PLATED NICKEL	23	4
-Brand#11	PROMO PLATED NICKEL	36	4
-Brand#11	PROMO PLATED NICKEL	45	4
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-Brand#11	PROMO POLISHED BRASS	49	4
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-Brand#11	PROMO POLISHED COPPER	36	4
-Brand#11	PROMO POLISHED COPPER	49	4
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-Brand#11	PROMO POLISHED NICKEL	19	4
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-Brand#11	PROMO POLISHED STEEL	14	4
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-Brand#11	SMALL ANODIZED COPPER	36	4
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-Brand#11	SMALL ANODIZED NICKEL	14	4
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-Brand#11	SMALL ANODIZED NICKEL	45	4
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-Brand#11	SMALL BRUSHED COPPER	36	4
-Brand#11	SMALL BRUSHED COPPER	45	4
-Brand#11	SMALL BRUSHED COPPER	49	4
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-Brand#11	SMALL BRUSHED STEEL	36	4
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-Brand#11	SMALL BURNISHED BRASS	23	4
-Brand#11	SMALL BURNISHED BRASS	36	4
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-Brand#11	SMALL BURNISHED COPPER	14	4
-Brand#11	SMALL BURNISHED NICKEL	36	4
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-Brand#11	SMALL BURNISHED STEEL	23	4
-Brand#11	SMALL BURNISHED STEEL	49	4
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-Brand#11	SMALL POLISHED BRASS	45	4
-Brand#11	SMALL POLISHED BRASS	49	4
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-Brand#11	SMALL POLISHED COPPER	14	4
-Brand#11	SMALL POLISHED COPPER	19	4
-Brand#11	SMALL POLISHED COPPER	49	4
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-Brand#11	SMALL POLISHED NICKEL	14	4
-Brand#11	SMALL POLISHED NICKEL	19	4
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-Brand#11	SMALL POLISHED STEEL	49	4
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-Brand#11	SMALL POLISHED TIN	19	4
-Brand#11	SMALL POLISHED TIN	36	4
-Brand#11	SMALL POLISHED TIN	45	4
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-Brand#11	STANDARD ANODIZED BRASS	36	4
-Brand#11	STANDARD ANODIZED BRASS	49	4
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-Brand#11	STANDARD ANODIZED COPPER	45	4
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-Brand#11	STANDARD ANODIZED NICKEL	49	4
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-Brand#11	STANDARD ANODIZED STEEL	36	4
-Brand#11	STANDARD ANODIZED STEEL	45	4
-Brand#11	STANDARD ANODIZED STEEL	49	4
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-Brand#11	STANDARD ANODIZED TIN	19	4
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-Brand#11	STANDARD ANODIZED TIN	49	4
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-Brand#11	STANDARD BRUSHED BRASS	36	4
-Brand#11	STANDARD BRUSHED BRASS	45	4
-Brand#11	STANDARD BRUSHED COPPER	9	4
-Brand#11	STANDARD BRUSHED COPPER	19	4
-Brand#11	STANDARD BRUSHED COPPER	49	4
-Brand#11	STANDARD BRUSHED NICKEL	19	4
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-Brand#11	STANDARD BRUSHED NICKEL	36	4
-Brand#11	STANDARD BRUSHED NICKEL	49	4
-Brand#11	STANDARD BRUSHED STEEL	23	4
-Brand#11	STANDARD BRUSHED STEEL	36	4
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-Brand#11	STANDARD BRUSHED TIN	45	4
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-Brand#11	STANDARD BURNISHED BRASS	14	4
-Brand#11	STANDARD BURNISHED BRASS	45	4
-Brand#11	STANDARD BURNISHED COPPER	3	4
-Brand#11	STANDARD BURNISHED COPPER	45	4
-Brand#11	STANDARD BURNISHED NICKEL	3	4
-Brand#11	STANDARD BURNISHED NICKEL	9	4
-Brand#11	STANDARD BURNISHED NICKEL	14	4
-Brand#11	STANDARD BURNISHED NICKEL	19	4
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-Brand#11	STANDARD BURNISHED STEEL	14	4
-Brand#11	STANDARD BURNISHED STEEL	19	4
-Brand#11	STANDARD BURNISHED STEEL	49	4
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-Brand#11	STANDARD BURNISHED TIN	19	4
-Brand#11	STANDARD BURNISHED TIN	23	4
-Brand#11	STANDARD BURNISHED TIN	36	4
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-Brand#11	STANDARD PLATED BRASS	14	4
-Brand#11	STANDARD PLATED BRASS	36	4
-Brand#11	STANDARD PLATED COPPER	9	4
-Brand#11	STANDARD PLATED COPPER	14	4
-Brand#11	STANDARD PLATED COPPER	45	4
-Brand#11	STANDARD PLATED NICKEL	3	4
-Brand#11	STANDARD PLATED NICKEL	9	4
-Brand#11	STANDARD PLATED NICKEL	23	4
-Brand#11	STANDARD PLATED NICKEL	49	4
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-Brand#11	STANDARD POLISHED BRASS	36	4
-Brand#11	STANDARD POLISHED BRASS	49	4
-Brand#11	STANDARD POLISHED COPPER	3	4
-Brand#11	STANDARD POLISHED COPPER	45	4
-Brand#11	STANDARD POLISHED COPPER	49	4
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-Brand#11	STANDARD POLISHED NICKEL	36	4
-Brand#11	STANDARD POLISHED NICKEL	45	4
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-Brand#11	STANDARD POLISHED STEEL	23	4
-Brand#11	STANDARD POLISHED STEEL	36	4
-Brand#11	STANDARD POLISHED STEEL	45	4
-Brand#11	STANDARD POLISHED TIN	3	4
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-Brand#11	STANDARD POLISHED TIN	36	4
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-Brand#12	ECONOMY ANODIZED BRASS	9	4
-Brand#12	ECONOMY ANODIZED BRASS	19	4
-Brand#12	ECONOMY ANODIZED BRASS	23	4
-Brand#12	ECONOMY ANODIZED COPPER	9	4
-Brand#12	ECONOMY ANODIZED COPPER	19	4
-Brand#12	ECONOMY ANODIZED COPPER	23	4
-Brand#12	ECONOMY ANODIZED COPPER	36	4
-Brand#12	ECONOMY ANODIZED COPPER	45	4
-Brand#12	ECONOMY ANODIZED COPPER	49	4
-Brand#12	ECONOMY ANODIZED NICKEL	3	4
-Brand#12	ECONOMY ANODIZED NICKEL	9	4
-Brand#12	ECONOMY ANODIZED NICKEL	23	4
-Brand#12	ECONOMY ANODIZED NICKEL	49	4
-Brand#12	ECONOMY ANODIZED STEEL	9	4
-Brand#12	ECONOMY ANODIZED STEEL	49	4
-Brand#12	ECONOMY ANODIZED TIN	9	4
-Brand#12	ECONOMY ANODIZED TIN	36	4
-Brand#12	ECONOMY ANODIZED TIN	49	4
-Brand#12	ECONOMY BRUSHED BRASS	9	4
-Brand#12	ECONOMY BRUSHED BRASS	14	4
-Brand#12	ECONOMY BRUSHED BRASS	45	4
-Brand#12	ECONOMY BRUSHED COPPER	45	4
-Brand#12	ECONOMY BRUSHED NICKEL	9	4
-Brand#12	ECONOMY BRUSHED NICKEL	14	4
-Brand#12	ECONOMY BRUSHED NICKEL	19	4
-Brand#12	ECONOMY BRUSHED NICKEL	36	4
-Brand#12	ECONOMY BRUSHED NICKEL	45	4
-Brand#12	ECONOMY BRUSHED NICKEL	49	4
-Brand#12	ECONOMY BRUSHED STEEL	14	4
-Brand#12	ECONOMY BRUSHED STEEL	19	4
-Brand#12	ECONOMY BRUSHED TIN	45	4
-Brand#12	ECONOMY BURNISHED BRASS	3	4
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-Brand#12	STANDARD POLISHED BRASS	49	4
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-Brand#13	ECONOMY ANODIZED BRASS	14	4
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-Brand#13	ECONOMY ANODIZED BRASS	49	4
-Brand#13	ECONOMY ANODIZED COPPER	3	4
-Brand#13	ECONOMY ANODIZED COPPER	36	4
-Brand#13	ECONOMY ANODIZED COPPER	49	4
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-Brand#13	ECONOMY ANODIZED STEEL	19	4
-Brand#13	ECONOMY ANODIZED STEEL	36	4
-Brand#13	ECONOMY ANODIZED STEEL	49	4
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-Brand#13	ECONOMY BRUSHED BRASS	23	4
-Brand#13	ECONOMY BRUSHED BRASS	36	4
-Brand#13	ECONOMY BRUSHED BRASS	49	4
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-Brand#13	ECONOMY BRUSHED COPPER	45	4
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-Brand#14	ECONOMY ANODIZED COPPER	49	4
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-Brand#14	STANDARD POLISHED NICKEL	45	4
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-Brand#15	ECONOMY ANODIZED NICKEL	45	4
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-Brand#15	ECONOMY ANODIZED STEEL	45	4
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-Brand#24	LARGE POLISHED BRASS	49	4
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-Brand#24	MEDIUM ANODIZED BRASS	23	4
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-Brand#24	MEDIUM ANODIZED NICKEL	19	4
-Brand#24	MEDIUM ANODIZED NICKEL	45	4
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-Brand#33	STANDARD BURNISHED COPPER	36	4
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-Brand#35	MEDIUM ANODIZED NICKEL	45	4
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-Brand#41	MEDIUM ANODIZED COPPER	36	4
-Brand#41	MEDIUM ANODIZED COPPER	45	4
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-Brand#41	PROMO BURNISHED BRASS	45	4
-Brand#41	PROMO BURNISHED BRASS	49	4
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-Brand#42	ECONOMY BURNISHED BRASS	45	4
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-Brand#42	LARGE POLISHED BRASS	45	4
-Brand#42	LARGE POLISHED BRASS	49	4
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-Brand#42	MEDIUM ANODIZED BRASS	45	4
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-Brand#42	MEDIUM BRUSHED BRASS	45	4
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-Brand#42	MEDIUM BRUSHED COPPER	36	4
-Brand#42	MEDIUM BRUSHED COPPER	45	4
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-Brand#42	MEDIUM BURNISHED BRASS	23	4
-Brand#42	MEDIUM BURNISHED BRASS	49	4
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-Brand#42	MEDIUM BURNISHED COPPER	36	4
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-Brand#42	PROMO ANODIZED COPPER	49	4
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-Brand#42	PROMO ANODIZED STEEL	14	4
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-Brand#42	PROMO BRUSHED COPPER	23	4
-Brand#42	PROMO BRUSHED COPPER	36	4
-Brand#42	PROMO BRUSHED COPPER	45	4
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-Brand#42	PROMO BURNISHED BRASS	36	4
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-Brand#43	ECONOMY ANODIZED COPPER	36	4
-Brand#43	ECONOMY ANODIZED COPPER	49	4
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-Brand#43	ECONOMY BRUSHED BRASS	49	4
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-Brand#43	ECONOMY BRUSHED COPPER	36	4
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-Brand#43	ECONOMY BURNISHED BRASS	36	4
-Brand#43	ECONOMY BURNISHED BRASS	45	4
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-Brand#43	ECONOMY BURNISHED COPPER	19	4
-Brand#43	ECONOMY BURNISHED COPPER	23	4
-Brand#43	ECONOMY BURNISHED COPPER	45	4
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-Brand#43	ECONOMY PLATED BRASS	49	4
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-Brand#43	ECONOMY POLISHED BRASS	36	4
-Brand#43	ECONOMY POLISHED BRASS	49	4
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-Brand#43	LARGE ANODIZED COPPER	45	4
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-Brand#44	ECONOMY BURNISHED BRASS	49	4
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-Brand#44	MEDIUM BURNISHED BRASS	49	4
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-Brand#44	PROMO ANODIZED COPPER	14	4
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-Brand#44	PROMO BRUSHED BRASS	49	4
-Brand#44	PROMO BRUSHED COPPER	14	4
-Brand#44	PROMO BRUSHED COPPER	19	4
-Brand#44	PROMO BRUSHED COPPER	45	4
-Brand#44	PROMO BRUSHED COPPER	49	4
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-Brand#44	STANDARD BURNISHED BRASS	45	4
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-Brand#51	ECONOMY BRUSHED BRASS	45	4
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-Brand#51	ECONOMY BURNISHED BRASS	45	4
-Brand#51	ECONOMY BURNISHED BRASS	49	4
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-Brand#51	ECONOMY BURNISHED COPPER	14	4
-Brand#51	ECONOMY BURNISHED COPPER	19	4
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-Brand#51	ECONOMY BURNISHED COPPER	49	4
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-Brand#51	ECONOMY POLISHED COPPER	45	4
-Brand#51	ECONOMY POLISHED COPPER	49	4
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-Brand#51	LARGE ANODIZED BRASS	45	4
-Brand#51	LARGE ANODIZED BRASS	49	4
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-Brand#51	LARGE BRUSHED BRASS	36	4
-Brand#51	LARGE BRUSHED COPPER	3	4
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-Brand#51	MEDIUM BURNISHED COPPER	23	4
-Brand#51	MEDIUM BURNISHED COPPER	36	4
-Brand#51	MEDIUM BURNISHED COPPER	45	4
-Brand#51	MEDIUM BURNISHED COPPER	49	4
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-Brand#51	PROMO BRUSHED BRASS	49	4
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-Brand#51	PROMO BURNISHED COPPER	36	4
-Brand#51	PROMO BURNISHED COPPER	45	4
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-Brand#51	STANDARD POLISHED BRASS	49	4
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-Brand#52	ECONOMY ANODIZED COPPER	14	4
-Brand#52	ECONOMY ANODIZED COPPER	45	4
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-Brand#52	ECONOMY ANODIZED NICKEL	19	4
-Brand#52	ECONOMY ANODIZED NICKEL	36	4
-Brand#52	ECONOMY ANODIZED NICKEL	49	4
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-Brand#52	ECONOMY BRUSHED NICKEL	36	4
-Brand#52	ECONOMY BRUSHED NICKEL	49	4
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-Brand#52	ECONOMY BURNISHED BRASS	45	4
-Brand#52	ECONOMY BURNISHED BRASS	49	4
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-Brand#52	ECONOMY BURNISHED COPPER	36	4
-Brand#52	ECONOMY BURNISHED COPPER	49	4
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-Brand#52	LARGE ANODIZED COPPER	36	4
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-Brand#52	MEDIUM ANODIZED BRASS	45	4
-Brand#52	MEDIUM ANODIZED BRASS	49	4
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-Brand#52	MEDIUM ANODIZED NICKEL	19	4
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-Brand#52	MEDIUM BRUSHED NICKEL	9	4
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-Brand#52	MEDIUM BURNISHED COPPER	19	4
-Brand#52	MEDIUM BURNISHED COPPER	45	4
-Brand#52	MEDIUM BURNISHED COPPER	49	4
-Brand#52	MEDIUM BURNISHED NICKEL	3	4
-Brand#52	MEDIUM BURNISHED NICKEL	9	4
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-Brand#52	MEDIUM BURNISHED STEEL	36	4
-Brand#52	MEDIUM BURNISHED STEEL	45	4
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-Brand#52	MEDIUM PLATED BRASS	45	4
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-Brand#52	PROMO ANODIZED NICKEL	23	4
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-Brand#52	PROMO BRUSHED BRASS	49	4
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-Brand#52	PROMO BRUSHED COPPER	19	4
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-Brand#52	PROMO BURNISHED COPPER	9	4
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-Brand#52	SMALL BURNISHED BRASS	49	4
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-Brand#52	STANDARD POLISHED COPPER	45	4
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-Brand#53	ECONOMY ANODIZED BRASS	23	4
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-Brand#53	ECONOMY ANODIZED COPPER	14	4
-Brand#53	ECONOMY ANODIZED COPPER	49	4
-Brand#53	ECONOMY ANODIZED NICKEL	3	4
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-Brand#53	ECONOMY ANODIZED NICKEL	45	4
-Brand#53	ECONOMY ANODIZED NICKEL	49	4
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-Brand#53	ECONOMY ANODIZED STEEL	36	4
-Brand#53	ECONOMY ANODIZED STEEL	49	4
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-Brand#53	ECONOMY BRUSHED BRASS	14	4
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-Brand#53	ECONOMY BRUSHED COPPER	14	4
-Brand#53	ECONOMY BRUSHED COPPER	19	4
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-Brand#53	ECONOMY BRUSHED STEEL	36	4
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-Brand#53	ECONOMY BURNISHED BRASS	23	4
-Brand#53	ECONOMY BURNISHED BRASS	36	4
-Brand#53	ECONOMY BURNISHED COPPER	3	4
-Brand#53	ECONOMY BURNISHED COPPER	36	4
-Brand#53	ECONOMY BURNISHED COPPER	49	4
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-Brand#53	ECONOMY BURNISHED STEEL	14	4
-Brand#53	ECONOMY BURNISHED STEEL	49	4
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-Brand#53	ECONOMY PLATED NICKEL	36	4
-Brand#53	ECONOMY PLATED NICKEL	45	4
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-Brand#53	ECONOMY POLISHED BRASS	36	4
-Brand#53	ECONOMY POLISHED BRASS	45	4
-Brand#53	ECONOMY POLISHED BRASS	49	4
-Brand#53	ECONOMY POLISHED COPPER	9	4
-Brand#53	ECONOMY POLISHED COPPER	36	4
-Brand#53	ECONOMY POLISHED COPPER	45	4
-Brand#53	ECONOMY POLISHED COPPER	49	4
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-Brand#53	ECONOMY POLISHED NICKEL	45	4
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-Brand#53	LARGE ANODIZED NICKEL	36	4
-Brand#53	LARGE ANODIZED NICKEL	45	4
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-Brand#54	LARGE POLISHED COPPER	36	4
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-Brand#54	PROMO ANODIZED NICKEL	45	4
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-Brand#54	PROMO BRUSHED COPPER	19	4
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-Brand#54	PROMO BRUSHED NICKEL	45	4
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-Brand#54	PROMO BURNISHED COPPER	23	4
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-Brand#54	PROMO PLATED BRASS	36	4
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-Brand#54	PROMO POLISHED BRASS	49	4
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-Brand#54	PROMO POLISHED NICKEL	45	4
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-Brand#54	STANDARD POLISHED COPPER	49	4
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-Brand#54	STANDARD POLISHED NICKEL	9	4
-Brand#54	STANDARD POLISHED NICKEL	19	4
-Brand#54	STANDARD POLISHED NICKEL	45	4
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-Brand#55	ECONOMY ANODIZED BRASS	49	4
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-Brand#55	ECONOMY BRUSHED BRASS	45	4
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-Brand#55	ECONOMY BRUSHED COPPER	45	4
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-Brand#55	ECONOMY BRUSHED NICKEL	36	4
-Brand#55	ECONOMY BRUSHED NICKEL	49	4
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-Brand#55	LARGE ANODIZED STEEL	45	4
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-Brand#55	LARGE PLATED BRASS	49	4
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-Brand#55	LARGE POLISHED COPPER	45	4
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-Brand#55	LARGE POLISHED STEEL	49	4
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-Brand#55	MEDIUM BRUSHED COPPER	19	4
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-Brand#55	MEDIUM PLATED NICKEL	14	4
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-Brand#55	PROMO ANODIZED NICKEL	23	4
-Brand#55	PROMO ANODIZED NICKEL	45	4
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-Brand#55	PROMO ANODIZED STEEL	14	4
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-Brand#55	PROMO BRUSHED BRASS	19	4
-Brand#55	PROMO BRUSHED BRASS	49	4
-Brand#55	PROMO BRUSHED COPPER	14	4
-Brand#55	PROMO BRUSHED COPPER	23	4
-Brand#55	PROMO BRUSHED COPPER	36	4
-Brand#55	PROMO BRUSHED COPPER	45	4
-Brand#55	PROMO BRUSHED COPPER	49	4
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-Brand#55	PROMO BURNISHED BRASS	14	4
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-Brand#55	PROMO BURNISHED COPPER	49	4
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-Brand#55	SMALL BRUSHED NICKEL	45	4
-Brand#55	SMALL BRUSHED NICKEL	49	4
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-Brand#55	SMALL BRUSHED STEEL	14	4
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-Brand#55	SMALL BRUSHED STEEL	45	4
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-Brand#55	SMALL BRUSHED TIN	49	4
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-Brand#55	SMALL BURNISHED NICKEL	36	4
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-Brand#55	SMALL POLISHED BRASS	49	4
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-Brand#55	SMALL POLISHED COPPER	36	4
-Brand#55	SMALL POLISHED COPPER	45	4
-Brand#55	SMALL POLISHED COPPER	49	4
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-Brand#55	SMALL POLISHED NICKEL	49	4
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-Brand#55	STANDARD ANODIZED BRASS	49	4
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-Brand#55	STANDARD ANODIZED COPPER	45	4
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-Brand#55	STANDARD BURNISHED BRASS	23	4
-Brand#55	STANDARD BURNISHED BRASS	36	4
-Brand#55	STANDARD BURNISHED COPPER	3	4
-Brand#55	STANDARD BURNISHED NICKEL	9	4
-Brand#55	STANDARD BURNISHED NICKEL	49	4
-Brand#55	STANDARD BURNISHED STEEL	19	4
-Brand#55	STANDARD BURNISHED STEEL	23	4
-Brand#55	STANDARD BURNISHED STEEL	36	4
-Brand#55	STANDARD BURNISHED STEEL	45	4
-Brand#55	STANDARD BURNISHED TIN	9	4
-Brand#55	STANDARD BURNISHED TIN	19	4
-Brand#55	STANDARD BURNISHED TIN	36	4
-Brand#55	STANDARD BURNISHED TIN	49	4
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-Brand#55	STANDARD PLATED BRASS	45	4
-Brand#55	STANDARD PLATED BRASS	49	4
-Brand#55	STANDARD PLATED COPPER	9	4
-Brand#55	STANDARD PLATED COPPER	45	4
-Brand#55	STANDARD PLATED NICKEL	3	4
-Brand#55	STANDARD PLATED NICKEL	19	4
-Brand#55	STANDARD PLATED NICKEL	45	4
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-Brand#55	STANDARD PLATED STEEL	23	4
-Brand#55	STANDARD PLATED STEEL	49	4
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-Brand#55	STANDARD PLATED TIN	14	4
-Brand#55	STANDARD PLATED TIN	36	4
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-Brand#55	STANDARD POLISHED BRASS	9	4
-Brand#55	STANDARD POLISHED BRASS	23	4
-Brand#55	STANDARD POLISHED COPPER	3	4
-Brand#55	STANDARD POLISHED COPPER	23	4
-Brand#55	STANDARD POLISHED COPPER	45	4
-Brand#55	STANDARD POLISHED NICKEL	3	4
-Brand#55	STANDARD POLISHED NICKEL	23	4
-Brand#55	STANDARD POLISHED NICKEL	36	4
-Brand#55	STANDARD POLISHED NICKEL	45	4
-Brand#55	STANDARD POLISHED NICKEL	49	4
-Brand#55	STANDARD POLISHED STEEL	14	4
-Brand#55	STANDARD POLISHED STEEL	23	4
-Brand#55	STANDARD POLISHED TIN	9	4
-Brand#55	STANDARD POLISHED TIN	19	4
-Brand#55	STANDARD POLISHED TIN	36	4
-Brand#11	SMALL BRUSHED TIN	19	3
-Brand#15	LARGE PLATED NICKEL	45	3
-Brand#15	LARGE POLISHED NICKEL	9	3
-Brand#21	PROMO BURNISHED STEEL	45	3
-Brand#22	STANDARD PLATED STEEL	23	3
-Brand#25	LARGE PLATED STEEL	19	3
-Brand#32	STANDARD ANODIZED COPPER	23	3
-Brand#33	SMALL ANODIZED BRASS	9	3
-Brand#35	MEDIUM ANODIZED TIN	19	3
-Brand#51	SMALL PLATED BRASS	23	3
-Brand#52	MEDIUM BRUSHED BRASS	45	3
-Brand#53	MEDIUM BRUSHED TIN	45	3
-Brand#54	ECONOMY POLISHED BRASS	9	3
-Brand#55	PROMO PLATED BRASS	19	3
-Brand#55	STANDARD PLATED TIN	49	3
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q17.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q17.out
deleted file mode 100644
index 6812974f4c..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q17.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q17 --
-348406.054285714
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q18.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q18.out
deleted file mode 100644
index 3dd788ad76..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q18.out
+++ /dev/null
@@ -1,60 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q18 --
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-Customer#000066790	66790	2199712	1996-09-30	515531.82	327.000000000
-Customer#000046435	46435	4745607	1997-07-03	508047.99	309.000000000
-Customer#000015272	15272	3883783	1993-07-28	500241.33	302.000000000
-Customer#000146608	146608	3342468	1994-06-12	499794.58	303.000000000
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-Customer#000024341	24341	1474818	1992-11-15	491348.26	302.000000000
-Customer#000137446	137446	5489475	1997-05-23	487763.25	311.000000000
-Customer#000107590	107590	4267751	1994-11-04	485141.38	301.000000000
-Customer#000050008	50008	2366755	1996-12-09	483891.26	302.000000000
-Customer#000015619	15619	3767271	1996-08-07	480083.96	318.000000000
-Customer#000077260	77260	1436544	1992-09-12	479499.43	307.000000000
-Customer#000109379	109379	5746311	1996-10-10	478064.11	302.000000000
-Customer#000054602	54602	5832321	1997-02-09	471220.08	307.000000000
-Customer#000105995	105995	2096705	1994-07-03	469692.58	307.000000000
-Customer#000148885	148885	2942469	1992-05-31	469630.44	313.000000000
-Customer#000114586	114586	551136	1993-05-19	469605.59	308.000000000
-Customer#000105260	105260	5296167	1996-09-06	469360.57	303.000000000
-Customer#000147197	147197	1263015	1997-02-02	467149.67	320.000000000
-Customer#000064483	64483	2745894	1996-07-04	466991.35	304.000000000
-Customer#000136573	136573	2761378	1996-05-31	461282.73	301.000000000
-Customer#000016384	16384	502886	1994-04-12	458378.92	312.000000000
-Customer#000117919	117919	2869152	1996-06-20	456815.92	317.000000000
-Customer#000012251	12251	735366	1993-11-24	455107.26	309.000000000
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-Customer#000066098	66098	5007490	1992-08-07	453436.16	304.000000000
-Customer#000117076	117076	4290656	1997-02-05	449545.85	301.000000000
-Customer#000129379	129379	4720454	1997-06-07	448665.79	303.000000000
-Customer#000126865	126865	4702759	1994-11-07	447606.65	320.000000000
-Customer#000088876	88876	983201	1993-12-30	446717.46	304.000000000
-Customer#000036619	36619	4806726	1995-01-17	446704.09	328.000000000
-Customer#000141823	141823	2806245	1996-12-29	446269.12	310.000000000
-Customer#000053029	53029	2662214	1993-08-13	446144.49	302.000000000
-Customer#000018188	18188	3037414	1995-01-25	443807.22	308.000000000
-Customer#000066533	66533	29158	1995-10-21	443576.50	305.000000000
-Customer#000037729	37729	4134341	1995-06-29	441082.97	309.000000000
-Customer#000003566	3566	2329187	1998-01-04	439803.36	304.000000000
-Customer#000045538	45538	4527553	1994-05-22	436275.31	305.000000000
-Customer#000081581	81581	4739650	1995-11-04	435405.90	305.000000000
-Customer#000119989	119989	1544643	1997-09-20	434568.25	320.000000000
-Customer#000003680	3680	3861123	1998-07-03	433525.97	301.000000000
-Customer#000113131	113131	967334	1995-12-15	432957.75	301.000000000
-Customer#000141098	141098	565574	1995-09-24	430986.69	301.000000000
-Customer#000093392	93392	5200102	1997-01-22	425487.51	304.000000000
-Customer#000015631	15631	1845057	1994-05-12	419879.59	302.000000000
-Customer#000112987	112987	4439686	1996-09-17	418161.49	305.000000000
-Customer#000012599	12599	4259524	1998-02-12	415200.61	304.000000000
-Customer#000105410	105410	4478371	1996-03-05	412754.51	302.000000000
-Customer#000149842	149842	5156581	1994-05-30	411329.35	302.000000000
-Customer#000010129	10129	5849444	1994-03-21	409129.85	309.000000000
-Customer#000069904	69904	1742403	1996-10-19	408513.00	305.000000000
-Customer#000017746	17746	6882	1997-04-09	408446.93	303.000000000
-Customer#000013072	13072	1481925	1998-03-15	399195.47	301.000000000
-Customer#000082441	82441	857959	1994-02-07	382579.74	305.000000000
-Customer#000088703	88703	2995076	1994-01-30	363812.12	302.000000000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q19.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q19.out
deleted file mode 100644
index 44b1f599d2..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q19.out
+++ /dev/null
@@ -1,4 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q19 --
-3083843.057800000
-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q20.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q20.out
deleted file mode 100644
index dbc57eed5d..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q20.out
+++ /dev/null
@@ -1,189 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q20 --
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diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q21.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q21.out
deleted file mode 100644
index bb3ce3afcb..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q21.out
+++ /dev/null
@@ -1,103 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q21 --
-Supplier#000002829	20
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-
diff --git a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q22.out b/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q22.out
deleted file mode 100644
index 83be7986e2..0000000000
--- a/regression-test/data/datev2/tpch_sf1_p2/tpch_sf1/sql/q22.out
+++ /dev/null
@@ -1,10 +0,0 @@
--- This file is automatically generated. You should know what you did if you want to edit this
--- !q22 --
-13	888	6737713.990000000
-17	861	6460573.720000000
-18	964	7236687.400000000
-23	892	6701457.950000000
-29	948	7158866.630000000
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-
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/customer_create.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/customer_create.sql
deleted file mode 100644
index d13101b70e..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/customer_create.sql
+++ /dev/null
@@ -1,15 +0,0 @@
-CREATE TABLE IF NOT EXISTS `customer` (
-  `c_custkey` int(11) NOT NULL COMMENT "",
-  `c_name` varchar(26) NOT NULL COMMENT "",
-  `c_address` varchar(41) NOT NULL COMMENT "",
-  `c_city` varchar(11) NOT NULL COMMENT "",
-  `c_nation` varchar(16) NOT NULL COMMENT "",
-  `c_region` varchar(13) NOT NULL COMMENT "",
-  `c_phone` varchar(16) NOT NULL COMMENT "",
-  `c_mktsegment` varchar(11) NOT NULL COMMENT ""
-)
-UNIQUE KEY (`c_custkey`)
-DISTRIBUTED BY HASH(`c_custkey`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/customer_delete.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/customer_delete.sql
deleted file mode 100644
index fe22a226fe..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/customer_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table customer;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/date_create.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/date_create.sql
deleted file mode 100644
index cfab87b1d8..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/date_create.sql
+++ /dev/null
@@ -1,24 +0,0 @@
-CREATE TABLE IF NOT EXISTS `date` (
-  `d_datekey` int(11) NOT NULL COMMENT "",
-  `d_date` varchar(20) NOT NULL COMMENT "",
-  `d_dayofweek` varchar(10) NOT NULL COMMENT "",
-  `d_month` varchar(11) NOT NULL COMMENT "",
-  `d_year` int(11) NOT NULL COMMENT "",
-  `d_yearmonthnum` int(11) NOT NULL COMMENT "",
-  `d_yearmonth` varchar(9) NOT NULL COMMENT "",
-  `d_daynuminweek` int(11) NOT NULL COMMENT "",
-  `d_daynuminmonth` int(11) NOT NULL COMMENT "",
-  `d_daynuminyear` int(11) NOT NULL COMMENT "",
-  `d_monthnuminyear` int(11) NOT NULL COMMENT "",
-  `d_weeknuminyear` int(11) NOT NULL COMMENT "",
-  `d_sellingseason` varchar(14) NOT NULL COMMENT "",
-  `d_lastdayinweekfl` int(11) NOT NULL COMMENT "",
-  `d_lastdayinmonthfl` int(11) NOT NULL COMMENT "",
-  `d_holidayfl` int(11) NOT NULL COMMENT "",
-  `d_weekdayfl` int(11) NOT NULL COMMENT ""
-)
-UNIQUE KEY (`d_datekey`)
-DISTRIBUTED BY HASH(`d_datekey`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/date_delete.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/date_delete.sql
deleted file mode 100644
index 12933cbbad..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/date_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table `date`;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_create.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_create.sql
deleted file mode 100644
index c066ea8a0d..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_create.sql
+++ /dev/null
@@ -1,24 +0,0 @@
-CREATE TABLE IF NOT EXISTS `lineorder` (
-  `lo_orderkey` bigint(20) NOT NULL COMMENT "",
-  `lo_linenumber` bigint(20) NOT NULL COMMENT "",
-  `lo_custkey` int(11) NOT NULL COMMENT "",
-  `lo_partkey` int(11) NOT NULL COMMENT "",
-  `lo_suppkey` int(11) NOT NULL COMMENT "",
-  `lo_orderdate` int(11) NOT NULL COMMENT "",
-  `lo_orderpriority` varchar(16) NOT NULL COMMENT "",
-  `lo_shippriority` int(11) NOT NULL COMMENT "",
-  `lo_quantity` bigint(20) NOT NULL COMMENT "",
-  `lo_extendedprice` bigint(20) NOT NULL COMMENT "",
-  `lo_ordtotalprice` bigint(20) NOT NULL COMMENT "",
-  `lo_discount` bigint(20) NOT NULL COMMENT "",
-  `lo_revenue` bigint(20) NOT NULL COMMENT "",
-  `lo_supplycost` bigint(20) NOT NULL COMMENT "",
-  `lo_tax` bigint(20) NOT NULL COMMENT "",
-  `lo_commitdate` bigint(20) NOT NULL COMMENT "",
-  `lo_shipmode` varchar(11) NOT NULL COMMENT ""
-)
-UNIQUE KEY (`lo_orderkey`, `lo_linenumber`)
-DISTRIBUTED BY HASH(`lo_orderkey`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_delete.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_delete.sql
deleted file mode 100644
index 329e040060..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table lineorder;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_flat_create.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_flat_create.sql
deleted file mode 100644
index 818d3f9649..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_flat_create.sql
+++ /dev/null
@@ -1,45 +0,0 @@
-CREATE TABLE IF NOT EXISTS `lineorder_flat` (
-  `LO_ORDERDATE` datev2 NOT NULL COMMENT "",
-  `LO_ORDERKEY` int(11) NOT NULL COMMENT "",
-  `LO_LINENUMBER` tinyint(4) NOT NULL COMMENT "",
-  `LO_CUSTKEY` int(11) NOT NULL COMMENT "",
-  `LO_PARTKEY` int(11) NOT NULL COMMENT "",
-  `LO_SUPPKEY` int(11) NOT NULL COMMENT "",
-  `LO_ORDERPRIORITY` varchar(100) NOT NULL COMMENT "",
-  `LO_SHIPPRIORITY` tinyint(4) NOT NULL COMMENT "",
-  `LO_QUANTITY` tinyint(4) NOT NULL COMMENT "",
-  `LO_EXTENDEDPRICE` int(11) NOT NULL COMMENT "",
-  `LO_ORDTOTALPRICE` int(11) NOT NULL COMMENT "",
-  `LO_DISCOUNT` tinyint(4) NOT NULL COMMENT "",
-  `LO_REVENUE` int(11) NOT NULL COMMENT "",
-  `LO_SUPPLYCOST` int(11) NOT NULL COMMENT "",
-  `LO_TAX` tinyint(4) NOT NULL COMMENT "",
-  `LO_COMMITDATE` datev2 NOT NULL COMMENT "",
-  `LO_SHIPMODE` varchar(100) NOT NULL COMMENT "",
-  `C_NAME` varchar(100) NOT NULL COMMENT "",
-  `C_ADDRESS` varchar(100) NOT NULL COMMENT "",
-  `C_CITY` varchar(100) NOT NULL COMMENT "",
-  `C_NATION` varchar(100) NOT NULL COMMENT "",
-  `C_REGION` varchar(100) NOT NULL COMMENT "",
-  `C_PHONE` varchar(100) NOT NULL COMMENT "",
-  `C_MKTSEGMENT` varchar(100) NOT NULL COMMENT "",
-  `S_NAME` varchar(100) NOT NULL COMMENT "",
-  `S_ADDRESS` varchar(100) NOT NULL COMMENT "",
-  `S_CITY` varchar(100) NOT NULL COMMENT "",
-  `S_NATION` varchar(100) NOT NULL COMMENT "",
-  `S_REGION` varchar(100) NOT NULL COMMENT "",
-  `S_PHONE` varchar(100) NOT NULL COMMENT "",
-  `P_NAME` varchar(100) NOT NULL COMMENT "",
-  `P_MFGR` varchar(100) NOT NULL COMMENT "",
-  `P_CATEGORY` varchar(100) NOT NULL COMMENT "",
-  `P_BRAND` varchar(100) NOT NULL COMMENT "",
-  `P_COLOR` varchar(100) NOT NULL COMMENT "",
-  `P_TYPE` varchar(100) NOT NULL COMMENT "",
-  `P_SIZE` tinyint(4) NOT NULL COMMENT "",
-  `P_CONTAINER` varchar(100) NOT NULL COMMENT ""
-) ENGINE=OLAP
-UNIQUE KEY(`LO_ORDERDATE`, `LO_ORDERKEY`, `LO_LINENUMBER`)
-DISTRIBUTED BY HASH(`LO_ORDERKEY`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_flat_delete.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_flat_delete.sql
deleted file mode 100644
index 13f6c32bb6..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/lineorder_flat_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table lineorder_flat;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/part_create.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/part_create.sql
deleted file mode 100644
index 2405026a3c..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/part_create.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-CREATE TABLE IF NOT EXISTS `part` (
-  `p_partkey` int(11) NOT NULL COMMENT "",
-  `p_name` varchar(23) NOT NULL COMMENT "",
-  `p_mfgr` varchar(7) NOT NULL COMMENT "",
-  `p_category` varchar(8) NOT NULL COMMENT "",
-  `p_brand` varchar(10) NOT NULL COMMENT "",
-  `p_color` varchar(12) NOT NULL COMMENT "",
-  `p_type` varchar(26) NOT NULL COMMENT "",
-  `p_size` int(11) NOT NULL COMMENT "",
-  `p_container` varchar(11) NOT NULL COMMENT ""
-)
-UNIQUE KEY (`p_partkey`)
-DISTRIBUTED BY HASH(`p_partkey`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/part_delete.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/part_delete.sql
deleted file mode 100644
index 02c6abd253..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/part_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table `part`;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/supplier_create.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/supplier_create.sql
deleted file mode 100644
index 1580a8fcca..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/supplier_create.sql
+++ /dev/null
@@ -1,14 +0,0 @@
-CREATE TABLE IF NOT EXISTS `supplier` (
-  `s_suppkey` int(11) NOT NULL COMMENT "",
-  `s_name` varchar(26) NOT NULL COMMENT "",
-  `s_address` varchar(26) NOT NULL COMMENT "",
-  `s_city` varchar(11) NOT NULL COMMENT "",
-  `s_nation` varchar(16) NOT NULL COMMENT "",
-  `s_region` varchar(13) NOT NULL COMMENT "",
-  `s_phone` varchar(16) NOT NULL COMMENT ""
-)
-UNIQUE KEY (`s_suppkey`)
-DISTRIBUTED BY HASH(`s_suppkey`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/supplier_delete.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/supplier_delete.sql
deleted file mode 100644
index 39e663134c..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/ddl/supplier_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table `supplier`;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/load.groovy b/regression-test/suites/datev2/ssb_sf0.1_p1/load.groovy
deleted file mode 100644
index e047c25614..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/load.groovy
+++ /dev/null
@@ -1,124 +0,0 @@
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-
-// Most of the cases are copied from https://github.com/trinodb/trino/tree/master
-// /testing/trino-product-tests/src/main/resources/sql-tests/testcases
-// and modified by Doris.
-
-// Note: To filter out tables from sql files, use the following one-liner comamnd
-// sed -nr 's/.*tables: (.*)$/\1/gp' /path/to/*.sql | sed -nr 's/,/\n/gp' | sort | uniq
-suite("load") {
-
-    // ssb_sf1_p1 is writted to test unique key table merge correctly.
-    // It creates unique key table and sets bucket num to 1 in order to make sure that
-    // many rowsets will be created during loading and then the merge process will be triggered.
-
-    def tables = ["customer", "lineorder", "part", "date", "supplier"]
-    def columns = ["""c_custkey,c_name,c_address,c_city,c_nation,c_region,c_phone,c_mktsegment,no_use""",
-                    """lo_orderkey,lo_linenumber,lo_custkey,lo_partkey,lo_suppkey,lo_orderdate,lo_orderpriority, 
-                    lo_shippriority,lo_quantity,lo_extendedprice,lo_ordtotalprice,lo_discount, 
-                    lo_revenue,lo_supplycost,lo_tax,lo_commitdate,lo_shipmode,lo_dummy""",
-                    """p_partkey,p_name,p_mfgr,p_category,p_brand,p_color,p_type,p_size,p_container,p_dummy""",
-                    """d_datekey,d_date,d_dayofweek,d_month,d_year,d_yearmonthnum,d_yearmonth,
-                    d_daynuminweek,d_daynuminmonth,d_daynuminyear,d_monthnuminyear,d_weeknuminyear,
-                    d_sellingseason,d_lastdayinweekfl,d_lastdayinmonthfl,d_holidayfl,d_weekdayfl,d_dummy""",
-                    """s_suppkey,s_name,s_address,s_city,s_nation,s_region,s_phone,s_dummy"""]
-
-    for (String table in tables) {
-        sql new File("""${context.file.parent}/ddl/${table}_create.sql""").text
-        sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
-    }
-    def i = 0
-    for (String tableName in tables) {
-        streamLoad {
-            // a default db 'regression_test' is specified in
-            // ${DORIS_HOME}/conf/regression-conf.groovy
-            table tableName
-
-            // default label is UUID:
-            // set 'label' UUID.randomUUID().toString()
-
-            // default column_separator is specify in doris fe config, usually is '\t'.
-            // this line change to ','
-            set 'column_separator', '|'
-            set 'compress_type', 'GZ'
-            set 'columns', columns[i]
-
-            // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
-            // also, you can stream load a http stream, e.g. http://xxx/some.csv
-            file """${getS3Url()}/regression/ssb/sf0.1/${tableName}.tbl.gz"""
-
-            time 10000 // limit inflight 10s
-
-            // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
-
-            // if declared a check callback, the default check condition will ignore.
-            // So you must check all condition
-            check { result, exception, startTime, endTime ->
-                if (exception != null) {
-                    throw exception
-                }
-                log.info("Stream load result: ${result}".toString())
-                def json = parseJson(result)
-                assertEquals("success", json.Status.toLowerCase())
-                assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
-                assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
-            }
-        }
-        i++
-    }
-
-    def table = "lineorder_flat"
-    def table_rows = 600572
-    sql new File("""${context.file.parent}/ddl/${table}_create.sql""").text
-    def rowCount = sql "select count(*) from ${table}"
-    if (rowCount[0][0] != table_rows) {
-        sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
-        sql "set insert_timeout=3600"
-        def r = sql "select @@insert_timeout"
-        assertEquals(3600, r[0][0])
-        year_cons = [
-            'lo_orderdate<19930101',
-            'lo_orderdate>=19930101 and lo_orderdate<19940101',
-            'lo_orderdate>=19940101 and lo_orderdate<19950101',
-            'lo_orderdate>=19950101 and lo_orderdate<19960101',
-            'lo_orderdate>=19960101 and lo_orderdate<19970101',
-            'lo_orderdate>=19970101 and lo_orderdate<19980101',
-            'lo_orderdate>=19980101'
-        ]
-        for (String con in year_cons){
-            sql """
-            INSERT INTO lineorder_flat 
-            SELECT LO_ORDERDATE, LO_ORDERKEY, LO_LINENUMBER, LO_CUSTKEY, LO_PARTKEY, 
-                   LO_SUPPKEY, LO_ORDERPRIORITY, LO_SHIPPRIORITY, LO_QUANTITY, 
-                   LO_EXTENDEDPRICE, LO_ORDTOTALPRICE, LO_DISCOUNT, LO_REVENUE, 
-                   LO_SUPPLYCOST, LO_TAX, LO_COMMITDATE, LO_SHIPMODE, C_NAME, C_ADDRESS, 
-                   C_CITY, C_NATION, C_REGION, C_PHONE, C_MKTSEGMENT, S_NAME, S_ADDRESS, 
-                   S_CITY, S_NATION, S_REGION, S_PHONE, P_NAME, P_MFGR, P_CATEGORY, 
-                   P_BRAND, P_COLOR, P_TYPE, P_SIZE, P_CONTAINER 
-            FROM ( SELECT lo_orderkey, lo_linenumber, lo_custkey, lo_partkey, lo_suppkey, 
-                          lo_orderdate, lo_orderpriority, lo_shippriority, lo_quantity, 
-                          lo_extendedprice, lo_ordtotalprice, lo_discount, lo_revenue, 
-                          lo_supplycost, lo_tax, lo_commitdate, lo_shipmode FROM lineorder WHERE ${con} ) l 
-                INNER JOIN customer c ON (c.c_custkey = l.lo_custkey) 
-                INNER JOIN supplier s ON (s.s_suppkey = l.lo_suppkey) 
-                INNER JOIN part p ON (p.p_partkey = l.lo_partkey);"""
-        }
-        rowCount = sql "select count(*) from ${table}"
-        assertEquals(table_rows, rowCount[0][0])
-    }
-}
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q1.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q1.1.sql
deleted file mode 100644
index eae02823a0..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q1.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    LO_ORDERDATE >= 19930101
-    AND LO_ORDERDATE <= 19931231
-    AND LO_DISCOUNT BETWEEN 1 AND 3
-    AND LO_QUANTITY < 25;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q1.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q1.2.sql
deleted file mode 100644
index 3a899c9344..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q1.2.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q1.2
-SELECT SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    LO_ORDERDATE >= 19940101
-    AND LO_ORDERDATE <= 19940131
-    AND LO_DISCOUNT BETWEEN 4 AND 6
-    AND LO_QUANTITY BETWEEN 26 AND 35;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q1.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q1.3.sql
deleted file mode 100644
index 5aaeff83a7..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q1.3.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q1.3
-SELECT SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    weekofyear(LO_ORDERDATE) = 6
-    AND LO_ORDERDATE >= 19940101
-    AND LO_ORDERDATE <= 19941231
-    AND LO_DISCOUNT BETWEEN 5 AND 7
-    AND LO_QUANTITY BETWEEN 26 AND 35;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q2.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q2.1.sql
deleted file mode 100644
index 254ea6481a..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q2.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.1
-SELECT
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE P_CATEGORY = 'MFGR#12' AND S_REGION = 'AMERICA'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q2.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q2.2.sql
deleted file mode 100644
index 6a636f3a9e..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q2.2.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.2
-SELECT
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE
-    P_BRAND >= 'MFGR#2221'
-    AND P_BRAND <= 'MFGR#2228'
-    AND S_REGION = 'ASIA'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q2.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q2.3.sql
deleted file mode 100644
index a2ef0c6df3..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q2.3.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.3
-SELECT
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE
-    P_BRAND = 'MFGR#2239'
-    AND S_REGION = 'EUROPE'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.1.sql
deleted file mode 100644
index 8df98222c4..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.1.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.1
-SELECT
-    C_NATION,
-    S_NATION, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_REGION = 'ASIA'
-    AND S_REGION = 'ASIA'
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_NATION, S_NATION, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.2.sql
deleted file mode 100644
index c588b5bbce..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.2.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.2
-SELECT
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_NATION = 'UNITED STATES'
-    AND S_NATION = 'UNITED STATES'
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.3.sql
deleted file mode 100644
index 9a099d1732..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.3
-SELECT
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND S_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.4.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.4.sql
deleted file mode 100644
index 6bd71b5891..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q3.4.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.4
-SELECT
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND S_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND LO_ORDERDATE >= 19971201
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q4.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q4.1.sql
deleted file mode 100644
index aedd0e047e..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q4.1.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.1
-SELECT (LO_ORDERDATE DIV 10000) AS YEAR,
-    C_NATION,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    C_REGION = 'AMERICA'
-    AND S_REGION = 'AMERICA'
-    AND P_MFGR IN ('MFGR#1', 'MFGR#2')
-GROUP BY YEAR, C_NATION
-ORDER BY YEAR ASC, C_NATION ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q4.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q4.2.sql
deleted file mode 100644
index b9891ee408..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q4.2.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.2
-SELECT (LO_ORDERDATE DIV 10000) AS YEAR,
-    S_NATION,
-    P_CATEGORY,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    C_REGION = 'AMERICA'
-    AND S_REGION = 'AMERICA'
-    AND LO_ORDERDATE >= 19970101
-    AND LO_ORDERDATE <= 19981231
-    AND P_MFGR IN ('MFGR#1', 'MFGR#2')
-GROUP BY YEAR, S_NATION, P_CATEGORY
-ORDER BY
-    YEAR ASC,
-    S_NATION ASC,
-    P_CATEGORY ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q4.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q4.3.sql
deleted file mode 100644
index 6871023137..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/flat_q4.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.3
-SELECT (LO_ORDERDATE DIV 10000) AS YEAR,
-    S_CITY,
-    P_BRAND,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    S_NATION = 'UNITED STATES'
-    AND LO_ORDERDATE >= 19970101
-    AND LO_ORDERDATE <= 19981231
-    AND P_CATEGORY = 'MFGR#14'
-GROUP BY YEAR, S_CITY, P_BRAND
-ORDER BY YEAR ASC, S_CITY ASC, P_BRAND ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.1.sql
deleted file mode 100644
index 6a30ba08cd..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    LO_ORDERDATE >= 19930101
-    AND LO_ORDERDATE <= 19931231
-    AND LO_DISCOUNT BETWEEN 1 AND 3
-    AND LO_QUANTITY < 25;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.2.sql
deleted file mode 100644
index 8f16f30ca3..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.2.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q1.2
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    LO_ORDERDATE >= 19940101
-    AND LO_ORDERDATE <= 19940131
-    AND LO_DISCOUNT BETWEEN 4 AND 6
-    AND LO_QUANTITY BETWEEN 26 AND 35;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.3.sql
deleted file mode 100644
index 2b92308c85..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q1.3.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q1.3
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    weekofyear(LO_ORDERDATE) = 6
-    AND LO_ORDERDATE >= 19940101
-    AND LO_ORDERDATE <= 19941231
-    AND LO_DISCOUNT BETWEEN 5 AND 7
-    AND LO_QUANTITY BETWEEN 26 AND 35;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.1.sql
deleted file mode 100644
index 5f5f2148f4..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.1
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE P_CATEGORY = 'MFGR#12' AND S_REGION = 'AMERICA'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.2.sql
deleted file mode 100644
index b16f00fb44..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.2.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.2
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE
-    P_BRAND >= 'MFGR#2221'
-    AND P_BRAND <= 'MFGR#2228'
-    AND S_REGION = 'ASIA'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.3.sql
deleted file mode 100644
index 334b96fd48..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q2.3.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.3
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE
-    P_BRAND = 'MFGR#2239'
-    AND S_REGION = 'EUROPE'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.1.sql
deleted file mode 100644
index 8e87ca27a0..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.1.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.1
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    C_NATION,
-    S_NATION, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_REGION = 'ASIA'
-    AND S_REGION = 'ASIA'
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_NATION, S_NATION, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.2.sql
deleted file mode 100644
index 9f68bd15c7..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.2.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.2
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_NATION = 'UNITED STATES'
-    AND S_NATION = 'UNITED STATES'
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.3.sql
deleted file mode 100644
index d038965b95..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.3
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND S_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.4.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.4.sql
deleted file mode 100644
index 4b430459bd..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q3.4.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.4
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND S_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND LO_ORDERDATE >= 19971201
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.1.sql
deleted file mode 100644
index 4b76c73a45..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.1.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.1
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ (LO_ORDERDATE DIV 10000) AS YEAR,
-    C_NATION,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    C_REGION = 'AMERICA'
-    AND S_REGION = 'AMERICA'
-    AND P_MFGR IN ('MFGR#1', 'MFGR#2')
-GROUP BY YEAR, C_NATION
-ORDER BY YEAR ASC, C_NATION ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.2.sql
deleted file mode 100644
index 38a82e4b97..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.2.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.2
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ (LO_ORDERDATE DIV 10000) AS YEAR,
-    S_NATION,
-    P_CATEGORY,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    C_REGION = 'AMERICA'
-    AND S_REGION = 'AMERICA'
-    AND LO_ORDERDATE >= 19970101
-    AND LO_ORDERDATE <= 19981231
-    AND P_MFGR IN ('MFGR#1', 'MFGR#2')
-GROUP BY YEAR, S_NATION, P_CATEGORY
-ORDER BY
-    YEAR ASC,
-    S_NATION ASC,
-    P_CATEGORY ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.3.sql
deleted file mode 100644
index d93aa2905e..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_flat_q4.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.3
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ (LO_ORDERDATE DIV 10000) AS YEAR,
-    S_CITY,
-    P_BRAND,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    S_NATION = 'UNITED STATES'
-    AND LO_ORDERDATE >= 19970101
-    AND LO_ORDERDATE <= 19981231
-    AND P_CATEGORY = 'MFGR#14'
-GROUP BY YEAR, S_CITY, P_BRAND
-ORDER BY YEAR ASC, S_CITY ASC, P_BRAND ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q1.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q1.1.sql
deleted file mode 100644
index d8ed76c7a8..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q1.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_year = 1993
-AND lo_discount BETWEEN 1 AND 3
-AND lo_quantity < 25;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q1.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q1.2.sql
deleted file mode 100644
index a7a9433f7b..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q1.2.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_yearmonth = 'Jan1994'
-AND lo_discount BETWEEN 4 AND 6
-AND lo_quantity BETWEEN 26 AND 35;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q1.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q1.3.sql
deleted file mode 100644
index a5a7a48f72..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q1.3.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_weeknuminyear= 6
-AND d_year = 1994
-AND lo_discount BETWEEN  5 AND 7
-AND lo_quantity BETWEEN  26 AND 35;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q2.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q2.1.sql
deleted file mode 100644
index 45ba21b7f6..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q2.1.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_category = 'MFGR#12'
-AND s_region = 'AMERICA'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q2.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q2.2.sql
deleted file mode 100644
index 36168f90cb..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q2.2.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_brand BETWEEN  'MFGR#2221'
-AND 'MFGR#2228'
-AND s_region = 'ASIA'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q2.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q2.3.sql
deleted file mode 100644
index 652130085c..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q2.3.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE  lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_brand = 'MFGR#2239'
-AND s_region = 'EUROPE'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.1.sql
deleted file mode 100644
index 4a9892f5c5..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.1.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ c_nation, s_nation, d_year,
-SUM(lo_revenue)  AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND c_region = 'ASIA'
-AND s_region = 'ASIA'
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_nation, s_nation, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.2.sql
deleted file mode 100644
index 9e95d56128..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.2.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ c_city, s_city, d_year, sum(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE  lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND c_nation = 'UNITED STATES'
-AND s_nation = 'UNITED STATES'
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.3.sql
deleted file mode 100644
index f08fa7b925..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.3.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ c_city, s_city, d_year, SUM(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND  lo_orderdate = d_datekey
-AND  (c_city='UNITED KI1'
-OR c_city='UNITED KI5')
-AND (s_city='UNITED KI1'
-OR s_city='UNITED KI5')
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.4.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.4.sql
deleted file mode 100644
index 51b51507b6..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q3.4.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ c_city, s_city, d_year, SUM(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND  (c_city='UNITED KI1'
-OR c_city='UNITED KI5')
-AND (s_city='UNITED KI1'
-OR s_city='UNITED KI5')
-AND d_yearmonth = 'Dec1997'
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q4.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q4.1.sql
deleted file mode 100644
index 73992e5a70..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q4.1.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ d_year, c_nation,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND c_region = 'AMERICA'
-AND s_region = 'AMERICA'
-AND (p_mfgr = 'MFGR#1'
-OR  p_mfgr = 'MFGR#2')
-GROUP BY d_year, c_nation
-ORDER BY d_year, c_nation;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q4.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q4.2.sql
deleted file mode 100644
index f1db839130..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q4.2.sql
+++ /dev/null
@@ -1,31 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ d_year, s_nation, p_category,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND c_region = 'AMERICA'
-AND s_region = 'AMERICA'
-AND (d_year = 1997 OR d_year = 1998)
-AND (p_mfgr = 'MFGR#1'
-OR p_mfgr = 'MFGR#2')
-GROUP BY d_year, s_nation, p_category
-ORDER BY d_year, s_nation, p_category;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q4.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q4.3.sql
deleted file mode 100644
index 33aafa5842..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/pipeline_q4.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ d_year, s_city, p_brand,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND s_nation = 'UNITED STATES'
-AND (d_year = 1997 OR d_year = 1998)
-AND p_category = 'MFGR#14'
-GROUP BY d_year, s_city, p_brand
-ORDER BY d_year, s_city, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q1.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q1.1.sql
deleted file mode 100644
index 4ef15e93ea..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q1.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_year = 1993
-AND lo_discount BETWEEN 1 AND 3
-AND lo_quantity < 25;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q1.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q1.2.sql
deleted file mode 100644
index 1b8442bd93..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q1.2.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_yearmonth = 'Jan1994'
-AND lo_discount BETWEEN 4 AND 6
-AND lo_quantity BETWEEN 26 AND 35;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q1.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q1.3.sql
deleted file mode 100644
index ed6e51b1cf..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q1.3.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_weeknuminyear= 6
-AND d_year = 1994
-AND lo_discount BETWEEN  5 AND 7
-AND lo_quantity BETWEEN  26 AND 35;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q2.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q2.1.sql
deleted file mode 100644
index e1a1f52d18..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q2.1.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_category = 'MFGR#12'
-AND s_region = 'AMERICA'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q2.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q2.2.sql
deleted file mode 100644
index 3db6170119..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q2.2.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_brand BETWEEN  'MFGR#2221'
-AND 'MFGR#2228'
-AND s_region = 'ASIA'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q2.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q2.3.sql
deleted file mode 100644
index b70ca90666..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q2.3.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE  lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_brand = 'MFGR#2239'
-AND s_region = 'EUROPE'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.1.sql
deleted file mode 100644
index 70f17d789b..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.1.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT c_nation, s_nation, d_year,
-SUM(lo_revenue)  AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND c_region = 'ASIA'
-AND s_region = 'ASIA'
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_nation, s_nation, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.2.sql
deleted file mode 100644
index a416fbea8b..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.2.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT c_city, s_city, d_year, sum(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE  lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND c_nation = 'UNITED STATES'
-AND s_nation = 'UNITED STATES'
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.3.sql
deleted file mode 100644
index 98e29b72e7..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.3.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT c_city, s_city, d_year, SUM(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND  lo_orderdate = d_datekey
-AND  (c_city='UNITED KI1'
-OR c_city='UNITED KI5')
-AND (s_city='UNITED KI1'
-OR s_city='UNITED KI5')
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.4.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.4.sql
deleted file mode 100644
index 65fe992ca4..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q3.4.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT c_city, s_city, d_year, SUM(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND  (c_city='UNITED KI1'
-OR c_city='UNITED KI5')
-AND (s_city='UNITED KI1'
-OR s_city='UNITED KI5')
-AND d_yearmonth = 'Dec1997'
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q4.1.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q4.1.sql
deleted file mode 100644
index bdcd730bf9..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q4.1.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT d_year, c_nation,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND c_region = 'AMERICA'
-AND s_region = 'AMERICA'
-AND (p_mfgr = 'MFGR#1'
-OR  p_mfgr = 'MFGR#2')
-GROUP BY d_year, c_nation
-ORDER BY d_year, c_nation;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q4.2.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q4.2.sql
deleted file mode 100644
index 24c82cf682..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q4.2.sql
+++ /dev/null
@@ -1,31 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT d_year, s_nation, p_category,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND c_region = 'AMERICA'
-AND s_region = 'AMERICA'
-AND (d_year = 1997 OR d_year = 1998)
-AND (p_mfgr = 'MFGR#1'
-OR p_mfgr = 'MFGR#2')
-GROUP BY d_year, s_nation, p_category
-ORDER BY d_year, s_nation, p_category;
diff --git a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q4.3.sql b/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q4.3.sql
deleted file mode 100644
index 0dcc08bd26..0000000000
--- a/regression-test/suites/datev2/ssb_sf0.1_p1/sql/q4.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT d_year, s_city, p_brand,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND s_nation = 'UNITED STATES'
-AND (d_year = 1997 OR d_year = 1998)
-AND p_category = 'MFGR#14'
-GROUP BY d_year, s_city, p_brand
-ORDER BY d_year, s_city, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/customer_create.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/customer_create.sql
deleted file mode 100644
index d13101b70e..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/customer_create.sql
+++ /dev/null
@@ -1,15 +0,0 @@
-CREATE TABLE IF NOT EXISTS `customer` (
-  `c_custkey` int(11) NOT NULL COMMENT "",
-  `c_name` varchar(26) NOT NULL COMMENT "",
-  `c_address` varchar(41) NOT NULL COMMENT "",
-  `c_city` varchar(11) NOT NULL COMMENT "",
-  `c_nation` varchar(16) NOT NULL COMMENT "",
-  `c_region` varchar(13) NOT NULL COMMENT "",
-  `c_phone` varchar(16) NOT NULL COMMENT "",
-  `c_mktsegment` varchar(11) NOT NULL COMMENT ""
-)
-UNIQUE KEY (`c_custkey`)
-DISTRIBUTED BY HASH(`c_custkey`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/customer_delete.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/customer_delete.sql
deleted file mode 100644
index fe22a226fe..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/customer_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table customer;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/date_create.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/date_create.sql
deleted file mode 100644
index cfab87b1d8..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/date_create.sql
+++ /dev/null
@@ -1,24 +0,0 @@
-CREATE TABLE IF NOT EXISTS `date` (
-  `d_datekey` int(11) NOT NULL COMMENT "",
-  `d_date` varchar(20) NOT NULL COMMENT "",
-  `d_dayofweek` varchar(10) NOT NULL COMMENT "",
-  `d_month` varchar(11) NOT NULL COMMENT "",
-  `d_year` int(11) NOT NULL COMMENT "",
-  `d_yearmonthnum` int(11) NOT NULL COMMENT "",
-  `d_yearmonth` varchar(9) NOT NULL COMMENT "",
-  `d_daynuminweek` int(11) NOT NULL COMMENT "",
-  `d_daynuminmonth` int(11) NOT NULL COMMENT "",
-  `d_daynuminyear` int(11) NOT NULL COMMENT "",
-  `d_monthnuminyear` int(11) NOT NULL COMMENT "",
-  `d_weeknuminyear` int(11) NOT NULL COMMENT "",
-  `d_sellingseason` varchar(14) NOT NULL COMMENT "",
-  `d_lastdayinweekfl` int(11) NOT NULL COMMENT "",
-  `d_lastdayinmonthfl` int(11) NOT NULL COMMENT "",
-  `d_holidayfl` int(11) NOT NULL COMMENT "",
-  `d_weekdayfl` int(11) NOT NULL COMMENT ""
-)
-UNIQUE KEY (`d_datekey`)
-DISTRIBUTED BY HASH(`d_datekey`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/date_delete.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/date_delete.sql
deleted file mode 100644
index 12933cbbad..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/date_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table `date`;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_create.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_create.sql
deleted file mode 100644
index c066ea8a0d..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_create.sql
+++ /dev/null
@@ -1,24 +0,0 @@
-CREATE TABLE IF NOT EXISTS `lineorder` (
-  `lo_orderkey` bigint(20) NOT NULL COMMENT "",
-  `lo_linenumber` bigint(20) NOT NULL COMMENT "",
-  `lo_custkey` int(11) NOT NULL COMMENT "",
-  `lo_partkey` int(11) NOT NULL COMMENT "",
-  `lo_suppkey` int(11) NOT NULL COMMENT "",
-  `lo_orderdate` int(11) NOT NULL COMMENT "",
-  `lo_orderpriority` varchar(16) NOT NULL COMMENT "",
-  `lo_shippriority` int(11) NOT NULL COMMENT "",
-  `lo_quantity` bigint(20) NOT NULL COMMENT "",
-  `lo_extendedprice` bigint(20) NOT NULL COMMENT "",
-  `lo_ordtotalprice` bigint(20) NOT NULL COMMENT "",
-  `lo_discount` bigint(20) NOT NULL COMMENT "",
-  `lo_revenue` bigint(20) NOT NULL COMMENT "",
-  `lo_supplycost` bigint(20) NOT NULL COMMENT "",
-  `lo_tax` bigint(20) NOT NULL COMMENT "",
-  `lo_commitdate` bigint(20) NOT NULL COMMENT "",
-  `lo_shipmode` varchar(11) NOT NULL COMMENT ""
-)
-UNIQUE KEY (`lo_orderkey`, `lo_linenumber`)
-DISTRIBUTED BY HASH(`lo_orderkey`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_delete.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_delete.sql
deleted file mode 100644
index 329e040060..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table lineorder;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_flat_create.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_flat_create.sql
deleted file mode 100644
index 818d3f9649..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_flat_create.sql
+++ /dev/null
@@ -1,45 +0,0 @@
-CREATE TABLE IF NOT EXISTS `lineorder_flat` (
-  `LO_ORDERDATE` datev2 NOT NULL COMMENT "",
-  `LO_ORDERKEY` int(11) NOT NULL COMMENT "",
-  `LO_LINENUMBER` tinyint(4) NOT NULL COMMENT "",
-  `LO_CUSTKEY` int(11) NOT NULL COMMENT "",
-  `LO_PARTKEY` int(11) NOT NULL COMMENT "",
-  `LO_SUPPKEY` int(11) NOT NULL COMMENT "",
-  `LO_ORDERPRIORITY` varchar(100) NOT NULL COMMENT "",
-  `LO_SHIPPRIORITY` tinyint(4) NOT NULL COMMENT "",
-  `LO_QUANTITY` tinyint(4) NOT NULL COMMENT "",
-  `LO_EXTENDEDPRICE` int(11) NOT NULL COMMENT "",
-  `LO_ORDTOTALPRICE` int(11) NOT NULL COMMENT "",
-  `LO_DISCOUNT` tinyint(4) NOT NULL COMMENT "",
-  `LO_REVENUE` int(11) NOT NULL COMMENT "",
-  `LO_SUPPLYCOST` int(11) NOT NULL COMMENT "",
-  `LO_TAX` tinyint(4) NOT NULL COMMENT "",
-  `LO_COMMITDATE` datev2 NOT NULL COMMENT "",
-  `LO_SHIPMODE` varchar(100) NOT NULL COMMENT "",
-  `C_NAME` varchar(100) NOT NULL COMMENT "",
-  `C_ADDRESS` varchar(100) NOT NULL COMMENT "",
-  `C_CITY` varchar(100) NOT NULL COMMENT "",
-  `C_NATION` varchar(100) NOT NULL COMMENT "",
-  `C_REGION` varchar(100) NOT NULL COMMENT "",
-  `C_PHONE` varchar(100) NOT NULL COMMENT "",
-  `C_MKTSEGMENT` varchar(100) NOT NULL COMMENT "",
-  `S_NAME` varchar(100) NOT NULL COMMENT "",
-  `S_ADDRESS` varchar(100) NOT NULL COMMENT "",
-  `S_CITY` varchar(100) NOT NULL COMMENT "",
-  `S_NATION` varchar(100) NOT NULL COMMENT "",
-  `S_REGION` varchar(100) NOT NULL COMMENT "",
-  `S_PHONE` varchar(100) NOT NULL COMMENT "",
-  `P_NAME` varchar(100) NOT NULL COMMENT "",
-  `P_MFGR` varchar(100) NOT NULL COMMENT "",
-  `P_CATEGORY` varchar(100) NOT NULL COMMENT "",
-  `P_BRAND` varchar(100) NOT NULL COMMENT "",
-  `P_COLOR` varchar(100) NOT NULL COMMENT "",
-  `P_TYPE` varchar(100) NOT NULL COMMENT "",
-  `P_SIZE` tinyint(4) NOT NULL COMMENT "",
-  `P_CONTAINER` varchar(100) NOT NULL COMMENT ""
-) ENGINE=OLAP
-UNIQUE KEY(`LO_ORDERDATE`, `LO_ORDERKEY`, `LO_LINENUMBER`)
-DISTRIBUTED BY HASH(`LO_ORDERKEY`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_flat_delete.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_flat_delete.sql
deleted file mode 100644
index 13f6c32bb6..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/lineorder_flat_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table lineorder_flat;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/part_create.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/part_create.sql
deleted file mode 100644
index 2405026a3c..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/part_create.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-CREATE TABLE IF NOT EXISTS `part` (
-  `p_partkey` int(11) NOT NULL COMMENT "",
-  `p_name` varchar(23) NOT NULL COMMENT "",
-  `p_mfgr` varchar(7) NOT NULL COMMENT "",
-  `p_category` varchar(8) NOT NULL COMMENT "",
-  `p_brand` varchar(10) NOT NULL COMMENT "",
-  `p_color` varchar(12) NOT NULL COMMENT "",
-  `p_type` varchar(26) NOT NULL COMMENT "",
-  `p_size` int(11) NOT NULL COMMENT "",
-  `p_container` varchar(11) NOT NULL COMMENT ""
-)
-UNIQUE KEY (`p_partkey`)
-DISTRIBUTED BY HASH(`p_partkey`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/part_delete.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/part_delete.sql
deleted file mode 100644
index 02c6abd253..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/part_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table `part`;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/supplier_create.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/supplier_create.sql
deleted file mode 100644
index 1580a8fcca..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/supplier_create.sql
+++ /dev/null
@@ -1,14 +0,0 @@
-CREATE TABLE IF NOT EXISTS `supplier` (
-  `s_suppkey` int(11) NOT NULL COMMENT "",
-  `s_name` varchar(26) NOT NULL COMMENT "",
-  `s_address` varchar(26) NOT NULL COMMENT "",
-  `s_city` varchar(11) NOT NULL COMMENT "",
-  `s_nation` varchar(16) NOT NULL COMMENT "",
-  `s_region` varchar(13) NOT NULL COMMENT "",
-  `s_phone` varchar(16) NOT NULL COMMENT ""
-)
-UNIQUE KEY (`s_suppkey`)
-DISTRIBUTED BY HASH(`s_suppkey`) BUCKETS 1
-PROPERTIES (
-"replication_num" = "1"
-);
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/ddl/supplier_delete.sql b/regression-test/suites/datev2/ssb_sf1_p2/ddl/supplier_delete.sql
deleted file mode 100644
index 39e663134c..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/ddl/supplier_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-truncate table `supplier`;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/load.groovy b/regression-test/suites/datev2/ssb_sf1_p2/load.groovy
deleted file mode 100644
index 59d909b22d..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/load.groovy
+++ /dev/null
@@ -1,124 +0,0 @@
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-
-// Most of the cases are copied from https://github.com/trinodb/trino/tree/master
-// /testing/trino-product-tests/src/main/resources/sql-tests/testcases
-// and modified by Doris.
-
-// Note: To filter out tables from sql files, use the following one-liner comamnd
-// sed -nr 's/.*tables: (.*)$/\1/gp' /path/to/*.sql | sed -nr 's/,/\n/gp' | sort | uniq
-suite("load") {
-
-    // ssb_sf1_p1 is writted to test unique key table merge correctly.
-    // It creates unique key table and sets bucket num to 1 in order to make sure that
-    // many rowsets will be created during loading and then the merge process will be triggered.
-
-    def tables = ["customer", "lineorder", "part", "date", "supplier"]
-    def columns = ["""c_custkey,c_name,c_address,c_city,c_nation,c_region,c_phone,c_mktsegment,no_use""",
-                    """lo_orderkey,lo_linenumber,lo_custkey,lo_partkey,lo_suppkey,lo_orderdate,lo_orderpriority, 
-                    lo_shippriority,lo_quantity,lo_extendedprice,lo_ordtotalprice,lo_discount, 
-                    lo_revenue,lo_supplycost,lo_tax,lo_commitdate,lo_shipmode,lo_dummy""",
-                    """p_partkey,p_name,p_mfgr,p_category,p_brand,p_color,p_type,p_size,p_container,p_dummy""",
-                    """d_datekey,d_date,d_dayofweek,d_month,d_year,d_yearmonthnum,d_yearmonth,
-                    d_daynuminweek,d_daynuminmonth,d_daynuminyear,d_monthnuminyear,d_weeknuminyear,
-                    d_sellingseason,d_lastdayinweekfl,d_lastdayinmonthfl,d_holidayfl,d_weekdayfl,d_dummy""",
-                    """s_suppkey,s_name,s_address,s_city,s_nation,s_region,s_phone,s_dummy"""]
-
-    for (String table in tables) {
-        sql new File("""${context.file.parent}/ddl/${table}_create.sql""").text
-        sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
-    }
-    def i = 0
-    for (String tableName in tables) {
-        streamLoad {
-            // a default db 'regression_test' is specified in
-            // ${DORIS_HOME}/conf/regression-conf.groovy
-            table tableName
-
-            // default label is UUID:
-            // set 'label' UUID.randomUUID().toString()
-
-            // default column_separator is specify in doris fe config, usually is '\t'.
-            // this line change to ','
-            set 'column_separator', '|'
-            set 'compress_type', 'GZ'
-            set 'columns', columns[i]
-
-            // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
-            // also, you can stream load a http stream, e.g. http://xxx/some.csv
-            file """${getS3Url()}/regression/ssb/sf1/${tableName}.tbl.gz"""
-
-            time 10000 // limit inflight 10s
-
-            // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
-
-            // if declared a check callback, the default check condition will ignore.
-            // So you must check all condition
-            check { result, exception, startTime, endTime ->
-                if (exception != null) {
-                    throw exception
-                }
-                log.info("Stream load result: ${result}".toString())
-                def json = parseJson(result)
-                assertEquals("success", json.Status.toLowerCase())
-                assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
-                assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
-            }
-        }
-        i++
-    }
-
-    def table = "lineorder_flat"
-    def table_rows = 6001215
-    sql new File("""${context.file.parent}/ddl/${table}_create.sql""").text
-    def rowCount = sql "select count(*) from ${table}"
-    if (rowCount[0][0] != table_rows) {
-        sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
-        sql "set insert_timeout=3600"
-        def r = sql "select @@insert_timeout"
-        assertEquals(3600, r[0][0])
-        year_cons = [
-            'lo_orderdate<19930101',
-            'lo_orderdate>=19930101 and lo_orderdate<19940101',
-            'lo_orderdate>=19940101 and lo_orderdate<19950101',
-            'lo_orderdate>=19950101 and lo_orderdate<19960101',
-            'lo_orderdate>=19960101 and lo_orderdate<19970101',
-            'lo_orderdate>=19970101 and lo_orderdate<19980101',
-            'lo_orderdate>=19980101'
-        ]
-        for (String con in year_cons){
-            sql """
-            INSERT INTO lineorder_flat 
-            SELECT LO_ORDERDATE, LO_ORDERKEY, LO_LINENUMBER, LO_CUSTKEY, LO_PARTKEY, 
-                   LO_SUPPKEY, LO_ORDERPRIORITY, LO_SHIPPRIORITY, LO_QUANTITY, 
-                   LO_EXTENDEDPRICE, LO_ORDTOTALPRICE, LO_DISCOUNT, LO_REVENUE, 
-                   LO_SUPPLYCOST, LO_TAX, LO_COMMITDATE, LO_SHIPMODE, C_NAME, C_ADDRESS, 
-                   C_CITY, C_NATION, C_REGION, C_PHONE, C_MKTSEGMENT, S_NAME, S_ADDRESS, 
-                   S_CITY, S_NATION, S_REGION, S_PHONE, P_NAME, P_MFGR, P_CATEGORY, 
-                   P_BRAND, P_COLOR, P_TYPE, P_SIZE, P_CONTAINER 
-            FROM ( SELECT lo_orderkey, lo_linenumber, lo_custkey, lo_partkey, lo_suppkey, 
-                          lo_orderdate, lo_orderpriority, lo_shippriority, lo_quantity, 
-                          lo_extendedprice, lo_ordtotalprice, lo_discount, lo_revenue, 
-                          lo_supplycost, lo_tax, lo_commitdate, lo_shipmode FROM lineorder WHERE ${con} ) l 
-                INNER JOIN customer c ON (c.c_custkey = l.lo_custkey) 
-                INNER JOIN supplier s ON (s.s_suppkey = l.lo_suppkey) 
-                INNER JOIN part p ON (p.p_partkey = l.lo_partkey);"""
-        }
-        rowCount = sql "select count(*) from ${table}"
-        assertEquals(table_rows, rowCount[0][0])
-    }
-}
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q1.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q1.1.sql
deleted file mode 100644
index eae02823a0..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q1.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    LO_ORDERDATE >= 19930101
-    AND LO_ORDERDATE <= 19931231
-    AND LO_DISCOUNT BETWEEN 1 AND 3
-    AND LO_QUANTITY < 25;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q1.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q1.2.sql
deleted file mode 100644
index 3a899c9344..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q1.2.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q1.2
-SELECT SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    LO_ORDERDATE >= 19940101
-    AND LO_ORDERDATE <= 19940131
-    AND LO_DISCOUNT BETWEEN 4 AND 6
-    AND LO_QUANTITY BETWEEN 26 AND 35;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q1.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q1.3.sql
deleted file mode 100644
index 5aaeff83a7..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q1.3.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q1.3
-SELECT SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    weekofyear(LO_ORDERDATE) = 6
-    AND LO_ORDERDATE >= 19940101
-    AND LO_ORDERDATE <= 19941231
-    AND LO_DISCOUNT BETWEEN 5 AND 7
-    AND LO_QUANTITY BETWEEN 26 AND 35;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q2.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q2.1.sql
deleted file mode 100644
index 254ea6481a..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q2.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.1
-SELECT
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE P_CATEGORY = 'MFGR#12' AND S_REGION = 'AMERICA'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q2.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q2.2.sql
deleted file mode 100644
index 6a636f3a9e..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q2.2.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.2
-SELECT
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE
-    P_BRAND >= 'MFGR#2221'
-    AND P_BRAND <= 'MFGR#2228'
-    AND S_REGION = 'ASIA'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q2.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q2.3.sql
deleted file mode 100644
index a2ef0c6df3..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q2.3.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.3
-SELECT
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE
-    P_BRAND = 'MFGR#2239'
-    AND S_REGION = 'EUROPE'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.1.sql
deleted file mode 100644
index 8df98222c4..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.1.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.1
-SELECT
-    C_NATION,
-    S_NATION, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_REGION = 'ASIA'
-    AND S_REGION = 'ASIA'
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_NATION, S_NATION, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.2.sql
deleted file mode 100644
index c588b5bbce..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.2.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.2
-SELECT
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_NATION = 'UNITED STATES'
-    AND S_NATION = 'UNITED STATES'
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.3.sql
deleted file mode 100644
index 9a099d1732..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.3
-SELECT
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND S_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.4.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.4.sql
deleted file mode 100644
index 6bd71b5891..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q3.4.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.4
-SELECT
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND S_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND LO_ORDERDATE >= 19971201
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q4.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q4.1.sql
deleted file mode 100644
index aedd0e047e..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q4.1.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.1
-SELECT (LO_ORDERDATE DIV 10000) AS YEAR,
-    C_NATION,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    C_REGION = 'AMERICA'
-    AND S_REGION = 'AMERICA'
-    AND P_MFGR IN ('MFGR#1', 'MFGR#2')
-GROUP BY YEAR, C_NATION
-ORDER BY YEAR ASC, C_NATION ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q4.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q4.2.sql
deleted file mode 100644
index b9891ee408..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q4.2.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.2
-SELECT (LO_ORDERDATE DIV 10000) AS YEAR,
-    S_NATION,
-    P_CATEGORY,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    C_REGION = 'AMERICA'
-    AND S_REGION = 'AMERICA'
-    AND LO_ORDERDATE >= 19970101
-    AND LO_ORDERDATE <= 19981231
-    AND P_MFGR IN ('MFGR#1', 'MFGR#2')
-GROUP BY YEAR, S_NATION, P_CATEGORY
-ORDER BY
-    YEAR ASC,
-    S_NATION ASC,
-    P_CATEGORY ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q4.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q4.3.sql
deleted file mode 100644
index 6871023137..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/flat_q4.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.3
-SELECT (LO_ORDERDATE DIV 10000) AS YEAR,
-    S_CITY,
-    P_BRAND,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    S_NATION = 'UNITED STATES'
-    AND LO_ORDERDATE >= 19970101
-    AND LO_ORDERDATE <= 19981231
-    AND P_CATEGORY = 'MFGR#14'
-GROUP BY YEAR, S_CITY, P_BRAND
-ORDER BY YEAR ASC, S_CITY ASC, P_BRAND ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.1.sql
deleted file mode 100644
index 6a30ba08cd..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    LO_ORDERDATE >= 19930101
-    AND LO_ORDERDATE <= 19931231
-    AND LO_DISCOUNT BETWEEN 1 AND 3
-    AND LO_QUANTITY < 25;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.2.sql
deleted file mode 100644
index 8f16f30ca3..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.2.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q1.2
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    LO_ORDERDATE >= 19940101
-    AND LO_ORDERDATE <= 19940131
-    AND LO_DISCOUNT BETWEEN 4 AND 6
-    AND LO_QUANTITY BETWEEN 26 AND 35;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.3.sql
deleted file mode 100644
index 2b92308c85..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q1.3.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q1.3
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
-FROM lineorder_flat
-WHERE
-    weekofyear(LO_ORDERDATE) = 6
-    AND LO_ORDERDATE >= 19940101
-    AND LO_ORDERDATE <= 19941231
-    AND LO_DISCOUNT BETWEEN 5 AND 7
-    AND LO_QUANTITY BETWEEN 26 AND 35;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.1.sql
deleted file mode 100644
index 5f5f2148f4..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.1
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE P_CATEGORY = 'MFGR#12' AND S_REGION = 'AMERICA'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.2.sql
deleted file mode 100644
index b16f00fb44..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.2.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.2
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE
-    P_BRAND >= 'MFGR#2221'
-    AND P_BRAND <= 'MFGR#2228'
-    AND S_REGION = 'ASIA'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.3.sql
deleted file mode 100644
index 334b96fd48..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q2.3.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q2.3
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    SUM(LO_REVENUE), (LO_ORDERDATE DIV 10000) AS YEAR,
-    P_BRAND
-FROM lineorder_flat
-WHERE
-    P_BRAND = 'MFGR#2239'
-    AND S_REGION = 'EUROPE'
-GROUP BY YEAR, P_BRAND
-ORDER BY YEAR, P_BRAND;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.1.sql
deleted file mode 100644
index 8e87ca27a0..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.1.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.1
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    C_NATION,
-    S_NATION, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_REGION = 'ASIA'
-    AND S_REGION = 'ASIA'
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_NATION, S_NATION, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.2.sql
deleted file mode 100644
index 9f68bd15c7..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.2.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.2
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_NATION = 'UNITED STATES'
-    AND S_NATION = 'UNITED STATES'
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.3.sql
deleted file mode 100644
index d038965b95..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.3
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND S_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND LO_ORDERDATE >= 19920101
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.4.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.4.sql
deleted file mode 100644
index 4b430459bd..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q3.4.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q3.4
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-    C_CITY,
-    S_CITY, (LO_ORDERDATE DIV 10000) AS YEAR,
-    SUM(LO_REVENUE) AS revenue
-FROM lineorder_flat
-WHERE
-    C_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND S_CITY IN ('UNITED KI1', 'UNITED KI5')
-    AND LO_ORDERDATE >= 19971201
-    AND LO_ORDERDATE <= 19971231
-GROUP BY C_CITY, S_CITY, YEAR
-ORDER BY YEAR ASC, revenue DESC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.1.sql
deleted file mode 100644
index 4b76c73a45..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.1.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.1
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ (LO_ORDERDATE DIV 10000) AS YEAR,
-    C_NATION,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    C_REGION = 'AMERICA'
-    AND S_REGION = 'AMERICA'
-    AND P_MFGR IN ('MFGR#1', 'MFGR#2')
-GROUP BY YEAR, C_NATION
-ORDER BY YEAR ASC, C_NATION ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.2.sql
deleted file mode 100644
index 38a82e4b97..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.2.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.2
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ (LO_ORDERDATE DIV 10000) AS YEAR,
-    S_NATION,
-    P_CATEGORY,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    C_REGION = 'AMERICA'
-    AND S_REGION = 'AMERICA'
-    AND LO_ORDERDATE >= 19970101
-    AND LO_ORDERDATE <= 19981231
-    AND P_MFGR IN ('MFGR#1', 'MFGR#2')
-GROUP BY YEAR, S_NATION, P_CATEGORY
-ORDER BY
-    YEAR ASC,
-    S_NATION ASC,
-    P_CATEGORY ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.3.sql
deleted file mode 100644
index d93aa2905e..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_flat_q4.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
---Q4.3
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ (LO_ORDERDATE DIV 10000) AS YEAR,
-    S_CITY,
-    P_BRAND,
-    SUM(LO_REVENUE - LO_SUPPLYCOST) AS profit
-FROM lineorder_flat
-WHERE
-    S_NATION = 'UNITED STATES'
-    AND LO_ORDERDATE >= 19970101
-    AND LO_ORDERDATE <= 19981231
-    AND P_CATEGORY = 'MFGR#14'
-GROUP BY YEAR, S_CITY, P_BRAND
-ORDER BY YEAR ASC, S_CITY ASC, P_BRAND ASC;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q1.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q1.1.sql
deleted file mode 100644
index d8ed76c7a8..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q1.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_year = 1993
-AND lo_discount BETWEEN 1 AND 3
-AND lo_quantity < 25;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q1.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q1.2.sql
deleted file mode 100644
index a7a9433f7b..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q1.2.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_yearmonth = 'Jan1994'
-AND lo_discount BETWEEN 4 AND 6
-AND lo_quantity BETWEEN 26 AND 35;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q1.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q1.3.sql
deleted file mode 100644
index a5a7a48f72..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q1.3.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_weeknuminyear= 6
-AND d_year = 1994
-AND lo_discount BETWEEN  5 AND 7
-AND lo_quantity BETWEEN  26 AND 35;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q2.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q2.1.sql
deleted file mode 100644
index 45ba21b7f6..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q2.1.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_category = 'MFGR#12'
-AND s_region = 'AMERICA'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q2.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q2.2.sql
deleted file mode 100644
index 36168f90cb..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q2.2.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_brand BETWEEN  'MFGR#2221'
-AND 'MFGR#2228'
-AND s_region = 'ASIA'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q2.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q2.3.sql
deleted file mode 100644
index 652130085c..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q2.3.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE  lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_brand = 'MFGR#2239'
-AND s_region = 'EUROPE'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.1.sql
deleted file mode 100644
index 4a9892f5c5..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.1.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ c_nation, s_nation, d_year,
-SUM(lo_revenue)  AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND c_region = 'ASIA'
-AND s_region = 'ASIA'
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_nation, s_nation, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.2.sql
deleted file mode 100644
index 9e95d56128..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.2.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ c_city, s_city, d_year, sum(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE  lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND c_nation = 'UNITED STATES'
-AND s_nation = 'UNITED STATES'
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.3.sql
deleted file mode 100644
index f08fa7b925..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.3.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ c_city, s_city, d_year, SUM(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND  lo_orderdate = d_datekey
-AND  (c_city='UNITED KI1'
-OR c_city='UNITED KI5')
-AND (s_city='UNITED KI1'
-OR s_city='UNITED KI5')
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.4.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.4.sql
deleted file mode 100644
index 51b51507b6..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q3.4.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ c_city, s_city, d_year, SUM(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND  (c_city='UNITED KI1'
-OR c_city='UNITED KI5')
-AND (s_city='UNITED KI1'
-OR s_city='UNITED KI5')
-AND d_yearmonth = 'Dec1997'
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q4.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q4.1.sql
deleted file mode 100644
index 73992e5a70..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q4.1.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ d_year, c_nation,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND c_region = 'AMERICA'
-AND s_region = 'AMERICA'
-AND (p_mfgr = 'MFGR#1'
-OR  p_mfgr = 'MFGR#2')
-GROUP BY d_year, c_nation
-ORDER BY d_year, c_nation;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q4.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q4.2.sql
deleted file mode 100644
index f1db839130..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q4.2.sql
+++ /dev/null
@@ -1,31 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ d_year, s_nation, p_category,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND c_region = 'AMERICA'
-AND s_region = 'AMERICA'
-AND (d_year = 1997 OR d_year = 1998)
-AND (p_mfgr = 'MFGR#1'
-OR p_mfgr = 'MFGR#2')
-GROUP BY d_year, s_nation, p_category
-ORDER BY d_year, s_nation, p_category;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q4.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q4.3.sql
deleted file mode 100644
index 33aafa5842..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/pipeline_q4.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ d_year, s_city, p_brand,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND s_nation = 'UNITED STATES'
-AND (d_year = 1997 OR d_year = 1998)
-AND p_category = 'MFGR#14'
-GROUP BY d_year, s_city, p_brand
-ORDER BY d_year, s_city, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q1.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q1.1.sql
deleted file mode 100644
index 4ef15e93ea..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q1.1.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_year = 1993
-AND lo_discount BETWEEN 1 AND 3
-AND lo_quantity < 25;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q1.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q1.2.sql
deleted file mode 100644
index 1b8442bd93..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q1.2.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_yearmonth = 'Jan1994'
-AND lo_discount BETWEEN 4 AND 6
-AND lo_quantity BETWEEN 26 AND 35;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q1.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q1.3.sql
deleted file mode 100644
index ed6e51b1cf..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q1.3.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_extendedprice*lo_discount) AS
-REVENUE
-FROM  lineorder, date
-WHERE  lo_orderdate = d_datekey
-AND d_weeknuminyear= 6
-AND d_year = 1994
-AND lo_discount BETWEEN  5 AND 7
-AND lo_quantity BETWEEN  26 AND 35;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q2.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q2.1.sql
deleted file mode 100644
index e1a1f52d18..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q2.1.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_category = 'MFGR#12'
-AND s_region = 'AMERICA'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q2.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q2.2.sql
deleted file mode 100644
index 3db6170119..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q2.2.sql
+++ /dev/null
@@ -1,27 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_brand BETWEEN  'MFGR#2221'
-AND 'MFGR#2228'
-AND s_region = 'ASIA'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q2.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q2.3.sql
deleted file mode 100644
index b70ca90666..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q2.3.sql
+++ /dev/null
@@ -1,26 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT SUM(lo_revenue), d_year, p_brand
-FROM lineorder, date, part, supplier
-WHERE  lo_orderdate = d_datekey
-AND lo_partkey = p_partkey
-AND lo_suppkey = s_suppkey
-AND p_brand = 'MFGR#2239'
-AND s_region = 'EUROPE'
-GROUP BY d_year, p_brand
-ORDER BY d_year, p_brand;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.1.sql
deleted file mode 100644
index 70f17d789b..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.1.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT c_nation, s_nation, d_year,
-SUM(lo_revenue)  AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND c_region = 'ASIA'
-AND s_region = 'ASIA'
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_nation, s_nation, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.2.sql
deleted file mode 100644
index a416fbea8b..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.2.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT c_city, s_city, d_year, sum(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE  lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND c_nation = 'UNITED STATES'
-AND s_nation = 'UNITED STATES'
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.3.sql
deleted file mode 100644
index 98e29b72e7..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.3.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT c_city, s_city, d_year, SUM(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND  lo_orderdate = d_datekey
-AND  (c_city='UNITED KI1'
-OR c_city='UNITED KI5')
-AND (s_city='UNITED KI1'
-OR s_city='UNITED KI5')
-AND d_year >= 1992 AND d_year <= 1997
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.4.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.4.sql
deleted file mode 100644
index 65fe992ca4..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q3.4.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT c_city, s_city, d_year, SUM(lo_revenue)
-AS  REVENUE
-FROM customer, lineorder, supplier, date
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_orderdate = d_datekey
-AND  (c_city='UNITED KI1'
-OR c_city='UNITED KI5')
-AND (s_city='UNITED KI1'
-OR s_city='UNITED KI5')
-AND d_yearmonth = 'Dec1997'
-GROUP BY c_city, s_city, d_year
-ORDER BY d_year ASC,  REVENUE DESC;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q4.1.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q4.1.sql
deleted file mode 100644
index bdcd730bf9..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q4.1.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT d_year, c_nation,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND c_region = 'AMERICA'
-AND s_region = 'AMERICA'
-AND (p_mfgr = 'MFGR#1'
-OR  p_mfgr = 'MFGR#2')
-GROUP BY d_year, c_nation
-ORDER BY d_year, c_nation;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q4.2.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q4.2.sql
deleted file mode 100644
index 24c82cf682..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q4.2.sql
+++ /dev/null
@@ -1,31 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT d_year, s_nation, p_category,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND c_region = 'AMERICA'
-AND s_region = 'AMERICA'
-AND (d_year = 1997 OR d_year = 1998)
-AND (p_mfgr = 'MFGR#1'
-OR p_mfgr = 'MFGR#2')
-GROUP BY d_year, s_nation, p_category
-ORDER BY d_year, s_nation, p_category;
diff --git a/regression-test/suites/datev2/ssb_sf1_p2/sql/q4.3.sql b/regression-test/suites/datev2/ssb_sf1_p2/sql/q4.3.sql
deleted file mode 100644
index 0dcc08bd26..0000000000
--- a/regression-test/suites/datev2/ssb_sf1_p2/sql/q4.3.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- Licensed to the Apache Software Foundation (ASF) under one
--- or more contributor license agreements.  See the NOTICE file
--- distributed with this work for additional information
--- regarding copyright ownership.  The ASF licenses this file
--- to you under the Apache License, Version 2.0 (the
--- "License"); you may not use this file except in compliance
--- with the License.  You may obtain a copy of the License at
---
---   http://www.apache.org/licenses/LICENSE-2.0
---
--- Unless required by applicable law or agreed to in writing,
--- software distributed under the License is distributed on an
--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
--- KIND, either express or implied.  See the License for the
--- specific language governing permissions and limitations
--- under the License.
-
-SELECT d_year, s_city, p_brand,
-SUM(lo_revenue - lo_supplycost) AS PROFIT
-FROM date, customer, supplier, part, lineorder
-WHERE lo_custkey = c_custkey
-AND lo_suppkey = s_suppkey
-AND lo_partkey = p_partkey
-AND lo_orderdate = d_datekey
-AND s_nation = 'UNITED STATES'
-AND (d_year = 1997 OR d_year = 1998)
-AND p_category = 'MFGR#14'
-GROUP BY d_year, s_city, p_brand
-ORDER BY d_year, s_city, p_brand;
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/call_center.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/call_center.sql
deleted file mode 100644
index 0dac86d673..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/call_center.sql
+++ /dev/null
@@ -1,38 +0,0 @@
-CREATE TABLE IF NOT EXISTS call_center (
-    cc_call_center_sk bigint,
-    cc_call_center_id char(16),
-    cc_rec_start_date datev2,
-    cc_rec_end_date datev2,
-    cc_closed_date_sk integer,
-    cc_open_date_sk integer,
-    cc_name varchar(50),
-    cc_class varchar(50),
-    cc_employees integer,
-    cc_sq_ft integer,
-    cc_hours char(20),
-    cc_manager varchar(40),
-    cc_mkt_id integer,
-    cc_mkt_class char(50),
-    cc_mkt_desc varchar(100),
-    cc_market_manager varchar(40),
-    cc_division integer,
-    cc_division_name varchar(50),
-    cc_company integer,
-    cc_company_name char(50),
-    cc_street_number char(10),
-    cc_street_name varchar(60),
-    cc_street_type char(15),
-    cc_suite_number char(10),
-    cc_city varchar(60),
-    cc_county varchar(30),
-    cc_state char(2),
-    cc_zip char(10),
-    cc_country varchar(20),
-    cc_gmt_offset decimalv3(5,2),
-    cc_tax_percentage decimalv3(5,2)
- )
-DUPLICATE KEY(cc_call_center_sk, cc_call_center_id)
-DISTRIBUTED BY HASH(cc_call_center_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_page.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_page.sql
deleted file mode 100644
index 7b06b67fa5..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_page.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-CREATE TABLE IF NOT EXISTS catalog_page (
-    cp_catalog_page_sk bigint,
-    cp_catalog_page_id char(16),
-    cp_start_date_sk integer,
-    cp_end_date_sk integer,
-    cp_department varchar(50),
-    cp_catalog_number integer,
-    cp_catalog_page_number integer,
-    cp_description varchar(100),
-    cp_type varchar(100)
-)
-DUPLICATE KEY(cp_catalog_page_sk, cp_catalog_page_id)
-DISTRIBUTED BY HASH(cp_catalog_page_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_returns.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_returns.sql
deleted file mode 100644
index 850113eb8f..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_returns.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-CREATE TABLE IF NOT EXISTS catalog_returns (
-    cr_returned_date_sk bigint,
-    cr_returned_time_sk bigint,
-    cr_item_sk bigint,
-    cr_refunded_customer_sk bigint,
-    cr_refunded_cdemo_sk bigint,
-    cr_refunded_hdemo_sk bigint,
-    cr_refunded_addr_sk bigint,
-    cr_returning_customer_sk bigint,
-    cr_returning_cdemo_sk bigint,
-    cr_returning_hdemo_sk bigint,
-    cr_returning_addr_sk bigint,
-    cr_call_center_sk bigint,
-    cr_catalog_page_sk bigint,
-    cr_ship_mode_sk bigint,
-    cr_warehouse_sk bigint,
-    cr_reason_sk bigint,
-    cr_order_number bigint,
-    cr_return_quantity integer,
-    cr_return_amount decimalv3(7,2),
-    cr_return_tax decimalv3(7,2),
-    cr_return_amt_inc_tax decimalv3(7,2),
-    cr_fee decimalv3(7,2),
-    cr_return_ship_cost decimalv3(7,2),
-    cr_refunded_cash decimalv3(7,2),
-    cr_reversed_charge decimalv3(7,2),
-    cr_store_credit decimalv3(7,2),
-    cr_net_loss decimalv3(7,2)
-)
-DUPLICATE KEY(cr_returned_date_sk, cr_returned_time_sk, cr_item_sk, cr_refunded_customer_sk)
-DISTRIBUTED BY HASH(cr_refunded_customer_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_sales.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_sales.sql
deleted file mode 100644
index b9885c1a01..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_sales.sql
+++ /dev/null
@@ -1,42 +0,0 @@
-CREATE TABLE IF NOT EXISTS catalog_sales (
-    cs_sold_date_sk bigint,
-    cs_sold_time_sk bigint,
-    cs_ship_date_sk bigint,
-    cs_bill_customer_sk bigint,
-    cs_bill_cdemo_sk bigint,
-    cs_bill_hdemo_sk bigint,
-    cs_bill_addr_sk bigint,
-    cs_ship_customer_sk bigint,
-    cs_ship_cdemo_sk bigint,
-    cs_ship_hdemo_sk bigint,
-    cs_ship_addr_sk bigint,
-    cs_call_center_sk bigint,
-    cs_catalog_page_sk bigint,
-    cs_ship_mode_sk bigint,
-    cs_warehouse_sk bigint,
-    cs_item_sk bigint,
-    cs_promo_sk bigint,
-    cs_order_number bigint,
-    cs_quantity integer,
-    cs_wholesale_cost decimalv3(7,2),
-    cs_list_price decimalv3(7,2),
-    cs_sales_price decimalv3(7,2),
-    cs_ext_discount_amt decimalv3(7,2),
-    cs_ext_sales_price decimalv3(7,2),
-    cs_ext_wholesale_cost decimalv3(7,2),
-    cs_ext_list_price decimalv3(7,2),
-    cs_ext_tax decimalv3(7,2),
-    cs_coupon_amt decimalv3(7,2),
-    cs_ext_ship_cost decimalv3(7,2),
-    cs_net_paid decimalv3(7,2),
-    cs_net_paid_inc_tax decimalv3(7,2),
-    cs_net_paid_inc_ship decimalv3(7,2),
-    cs_net_paid_inc_ship_tax decimalv3(7,2),
-    cs_net_profit decimalv3(7,2)
-)
-DUPLICATE KEY(cs_sold_date_sk, cs_sold_time_sk, cs_ship_date_sk, cs_bill_customer_sk)
-DISTRIBUTED BY HASH(cs_bill_customer_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer.sql
deleted file mode 100644
index debf5526da..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer.sql
+++ /dev/null
@@ -1,26 +0,0 @@
-CREATE TABLE IF NOT EXISTS customer (
-    c_customer_sk bigint,
-    c_customer_id char(16),
-    c_current_cdemo_sk bigint,
-    c_current_hdemo_sk bigint,
-    c_current_addr_sk bigint,
-    c_first_shipto_date_sk bigint,
-    c_first_sales_date_sk bigint,
-    c_salutation char(10),
-    c_first_name char(20),
-    c_last_name char(30),
-    c_preferred_cust_flag char(1),
-    c_birth_day integer,
-    c_birth_month integer,
-    c_birth_year integer,
-    c_birth_country varchar(20),
-    c_login char(13),
-    c_email_address char(50),
-    c_last_review_date_sk bigint
-)
-DUPLICATE KEY(c_customer_sk, c_customer_id)
-DISTRIBUTED BY HASH(c_customer_id) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer_address.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer_address.sql
deleted file mode 100644
index ccbbf69de0..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer_address.sql
+++ /dev/null
@@ -1,21 +0,0 @@
-CREATE TABLE IF NOT EXISTS customer_address (
-    ca_address_sk bigint,
-    ca_address_id char(16),
-    ca_street_number char(10),
-    ca_street_name varchar(60),
-    ca_street_type char(15),
-    ca_suite_number char(10),
-    ca_city varchar(60),
-    ca_county varchar(30),
-    ca_state char(2),
-    ca_zip char(10),
-    ca_country varchar(20),
-    ca_gmt_offset decimalv3(5,2),
-    ca_location_type char(20)
-)
-DUPLICATE KEY(ca_address_sk, ca_address_id)
-DISTRIBUTED BY HASH(ca_address_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer_demographics.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer_demographics.sql
deleted file mode 100644
index cc5f03f8db..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer_demographics.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-CREATE TABLE IF NOT EXISTS customer_demographics (
-    cd_demo_sk bigint,
-    cd_gender char(1),
-    cd_marital_status char(1),
-    cd_education_status char(20),
-    cd_purchase_estimate integer,
-    cd_credit_rating char(10),
-    cd_dep_count integer,
-    cd_dep_employed_count integer,
-    cd_dep_college_count integer
-)
-DUPLICATE KEY(cd_demo_sk, cd_gender)
-DISTRIBUTED BY HASH(cd_gender) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/date_dim.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/date_dim.sql
deleted file mode 100644
index a40175cb04..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/date_dim.sql
+++ /dev/null
@@ -1,35 +0,0 @@
-CREATE TABLE IF NOT EXISTS date_dim (
-    d_date_sk bigint,
-    d_date_id char(16),
-    d_date datev2,
-    d_month_seq integer,
-    d_week_seq integer,
-    d_quarter_seq integer,
-    d_year integer,
-    d_dow integer,
-    d_moy integer,
-    d_dom integer,
-    d_qoy integer,
-    d_fy_year integer,
-    d_fy_quarter_seq integer,
-    d_fy_week_seq integer,
-    d_day_name char(9),
-    d_quarter_name char(6),
-    d_holiday char(1),
-    d_weekend char(1),
-    d_following_holiday char(1),
-    d_first_dom integer,
-    d_last_dom integer,
-    d_same_day_ly integer,
-    d_same_day_lq integer,
-    d_current_day char(1),
-    d_current_week char(1),
-    d_current_month char(1),
-    d_current_quarter char(1),
-    d_current_year char(1)
-)
-DUPLICATE KEY(d_date_sk, d_date_id)
-DISTRIBUTED BY HASH(d_date_id) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/household_demographics.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/household_demographics.sql
deleted file mode 100644
index f050e2a128..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/household_demographics.sql
+++ /dev/null
@@ -1,13 +0,0 @@
-CREATE TABLE IF NOT EXISTS household_demographics (
-    hd_demo_sk bigint,
-    hd_income_band_sk bigint,
-    hd_buy_potential char(15),
-    hd_dep_count integer,
-    hd_vehicle_count integer
-)
-DUPLICATE KEY(hd_demo_sk, hd_income_band_sk)
-DISTRIBUTED BY HASH(hd_demo_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/income_band.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/income_band.sql
deleted file mode 100644
index 98f0d8cf64..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/income_band.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-CREATE TABLE IF NOT EXISTS income_band (
-    ib_income_band_sk bigint,
-    ib_lower_bound integer,
-    ib_upper_bound integer
-)
-DUPLICATE KEY(ib_income_band_sk)
-DISTRIBUTED BY HASH(ib_income_band_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/inventory.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/inventory.sql
deleted file mode 100644
index b4bcb1e931..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/inventory.sql
+++ /dev/null
@@ -1,12 +0,0 @@
-CREATE TABLE IF NOT EXISTS inventory (
-    inv_date_sk bigint,
-    inv_item_sk bigint,
-    inv_warehouse_sk bigint,
-    inv_quantity_on_hand integer
-)
-DUPLICATE KEY(inv_date_sk, inv_item_sk)
-DISTRIBUTED BY HASH(inv_warehouse_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/item.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/item.sql
deleted file mode 100644
index 308efc6ba0..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/item.sql
+++ /dev/null
@@ -1,29 +0,0 @@
-CREATE TABLE IF NOT EXISTS item (
-    i_item_sk bigint,
-    i_item_id char(16),
-    i_rec_start_date datev2,
-    i_rec_end_date datev2,
-    i_item_desc varchar(200),
-    i_current_price decimalv3(7,2),
-    i_wholesale_cost decimalv3(7,2),
-    i_brand_id integer,
-    i_brand char(50),
-    i_class_id integer,
-    i_class char(50),
-    i_category_id integer,
-    i_category char(50),
-    i_manufact_id integer,
-    i_manufact char(50),
-    i_size char(20),
-    i_formulation char(20),
-    i_color char(20),
-    i_units char(10),
-    i_container char(10),
-    i_manager_id integer,
-    i_product_name char(50)
-)
-DUPLICATE KEY(i_item_sk, i_item_id)
-DISTRIBUTED BY HASH(i_item_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/promotion.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/promotion.sql
deleted file mode 100644
index e12e9317a5..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/promotion.sql
+++ /dev/null
@@ -1,27 +0,0 @@
-CREATE TABLE IF NOT EXISTS promotion (
-    p_promo_sk bigint,
-    p_promo_id char(16),
-    p_start_date_sk bigint,
-    p_end_date_sk bigint,
-    p_item_sk bigint,
-    p_cost decimalv3(15,2),
-    p_response_targe integer,
-    p_promo_name char(50),
-    p_channel_dmail char(1),
-    p_channel_email char(1),
-    p_channel_catalog char(1),
-    p_channel_tv char(1),
-    p_channel_radio char(1),
-    p_channel_press char(1),
-    p_channel_event char(1),
-    p_channel_demo char(1),
-    p_channel_details varchar(100),
-    p_purpose char(15),
-    p_discount_active char(1)
-)
-DUPLICATE KEY(p_promo_sk, p_promo_id)
-DISTRIBUTED BY HASH(p_promo_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/reason.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/reason.sql
deleted file mode 100644
index 8fb573615e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/reason.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-CREATE TABLE IF NOT EXISTS reason (
-    r_reason_sk bigint,
-    r_reason_id char(16),
-    r_reason_desc char(100)
- )
-DUPLICATE KEY(r_reason_sk, r_reason_id)
-DISTRIBUTED BY HASH(r_reason_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/ship_mode.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/ship_mode.sql
deleted file mode 100644
index 6ccaf51b57..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/ship_mode.sql
+++ /dev/null
@@ -1,14 +0,0 @@
-CREATE TABLE IF NOT EXISTS ship_mode (
-    sm_ship_mode_sk bigint,
-    sm_ship_mode_id char(16),
-    sm_type char(30),
-    sm_code char(10),
-    sm_carrier char(20),
-    sm_contract char(20)
-)
-DUPLICATE KEY(sm_ship_mode_sk, sm_ship_mode_id)
-DISTRIBUTED BY HASH(sm_ship_mode_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store.sql
deleted file mode 100644
index b810cd471d..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store.sql
+++ /dev/null
@@ -1,36 +0,0 @@
-CREATE TABLE IF NOT EXISTS store (
-    s_store_sk bigint,
-    s_store_id char(16),
-    s_rec_start_date datev2,
-    s_rec_end_date datev2,
-    s_closed_date_sk bigint,
-    s_store_name varchar(50),
-    s_number_employees integer,
-    s_floor_space integer,
-    s_hours char(20),
-    s_manager varchar(40),
-    s_market_id integer,
-    s_geography_class varchar(100),
-    s_market_desc varchar(100),
-    s_market_manager varchar(40),
-    s_division_id integer,
-    s_division_name varchar(50),
-    s_company_id integer,
-    s_company_name varchar(50),
-    s_street_number varchar(10),
-    s_street_name varchar(60),
-    s_street_type char(15),
-    s_suite_number char(10),
-    s_city varchar(60),
-    s_county varchar(30),
-    s_state char(2),
-    s_zip char(10),
-    s_country varchar(20),
-    s_gmt_offset decimalv3(5,2),
-    s_tax_precentage decimalv3(5,2)
-)
-DUPLICATE KEY(s_store_sk, s_store_id)
-DISTRIBUTED BY HASH(s_store_id) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_returns.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_returns.sql
deleted file mode 100644
index 3d4aad4af9..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_returns.sql
+++ /dev/null
@@ -1,28 +0,0 @@
-CREATE TABLE IF NOT EXISTS store_returns (
-    sr_returned_date_sk bigint,
-    sr_return_time_sk bigint,
-    sr_item_sk bigint,
-    sr_customer_sk bigint,
-    sr_cdemo_sk bigint,
-    sr_hdemo_sk bigint,
-    sr_addr_sk bigint,
-    sr_store_sk bigint,
-    sr_reason_sk bigint,
-    sr_ticket_number bigint,
-    sr_return_quantity integer,
-    sr_return_amt decimalv3(7,2),
-    sr_return_tax decimalv3(7,2),
-    sr_return_amt_inc_tax decimalv3(7,2),
-    sr_fee decimalv3(7,2),
-    sr_return_ship_cost decimalv3(7,2),
-    sr_refunded_cash decimalv3(7,2),
-    sr_reversed_charge decimalv3(7,2),
-    sr_store_credit decimalv3(7,2),
-    sr_net_loss decimalv3(7,2)
-)
-DUPLICATE KEY(sr_returned_date_sk, sr_return_time_sk, sr_item_sk)
-DISTRIBUTED BY HASH(sr_return_time_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_sales.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_sales.sql
deleted file mode 100644
index 45e2f40c85..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_sales.sql
+++ /dev/null
@@ -1,32 +0,0 @@
-CREATE TABLE IF NOT EXISTS store_sales (
-    ss_sold_date_sk bigint,
-    ss_sold_time_sk bigint,
-    ss_item_sk bigint,
-    ss_customer_sk bigint,
-    ss_cdemo_sk bigint,
-    ss_hdemo_sk bigint,
-    ss_addr_sk bigint,
-    ss_store_sk bigint,
-    ss_promo_sk bigint,
-    ss_ticket_number bigint,
-    ss_quantity integer,
-    ss_wholesale_cost decimalv3(7,2),
-    ss_list_price decimalv3(7,2),
-    ss_sales_price decimalv3(7,2),
-    ss_ext_discount_amt decimalv3(7,2),
-    ss_ext_sales_price decimalv3(7,2),
-    ss_ext_wholesale_cost decimalv3(7,2),
-    ss_ext_list_price decimalv3(7,2),
-    ss_ext_tax decimalv3(7,2),
-    ss_coupon_amt decimalv3(7,2),
-    ss_net_paid decimalv3(7,2),
-    ss_net_paid_inc_tax decimalv3(7,2),
-    ss_net_profit decimalv3(7,2)
-)
-DUPLICATE KEY(ss_sold_date_sk, ss_sold_time_sk, ss_item_sk, ss_customer_sk)
-DISTRIBUTED BY HASH(ss_customer_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/time_dim.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/time_dim.sql
deleted file mode 100644
index c302f0d5c3..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/time_dim.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-CREATE TABLE IF NOT EXISTS time_dim (
-    t_time_sk bigint,
-    t_time_id char(16),
-    t_time integer,
-    t_hour integer,
-    t_minute integer,
-    t_second integer,
-    t_am_pm char(2),
-    t_shift char(20),
-    t_sub_shift char(20),
-    t_meal_time char(20)
-)
-DUPLICATE KEY(t_time_sk, t_time_id)
-DISTRIBUTED BY HASH(t_time_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/warehouse.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/warehouse.sql
deleted file mode 100644
index 3d1bbe6d75..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/warehouse.sql
+++ /dev/null
@@ -1,22 +0,0 @@
-CREATE TABLE IF NOT EXISTS warehouse (
-    w_warehouse_sk bigint,
-    w_warehouse_id char(16),
-    w_warehouse_name varchar(20),
-    w_warehouse_sq_ft integer,
-    w_street_number char(10),
-    w_street_name varchar(60),
-    w_street_type char(15),
-    w_suite_number char(10),
-    w_city varchar(60),
-    w_county varchar(30),
-    w_state char(2),
-    w_zip char(10),
-    w_country varchar(20),
-    w_gmt_offset decimalv3(5,2)
-)
-DUPLICATE KEY(w_warehouse_sk, w_warehouse_id)
-DISTRIBUTED BY HASH(w_warehouse_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_page.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_page.sql
deleted file mode 100644
index 2f22008381..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_page.sql
+++ /dev/null
@@ -1,21 +0,0 @@
-CREATE TABLE IF NOT EXISTS web_page (
-        wp_web_page_sk bigint,
-        wp_web_page_id char(16),
-        wp_rec_start_date datev2,
-        wp_rec_end_date datev2,
-        wp_creation_date_sk bigint,
-        wp_access_date_sk bigint,
-        wp_autogen_flag char(1),
-        wp_customer_sk bigint,
-        wp_url varchar(100),
-        wp_type char(50),
-        wp_char_count integer,
-        wp_link_count integer,
-        wp_image_count integer,
-        wp_max_ad_count integer
-)
-DUPLICATE KEY(wp_web_page_sk, wp_web_page_id)
-DISTRIBUTED BY HASH(wp_web_page_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_returns.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_returns.sql
deleted file mode 100644
index 9b74933834..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_returns.sql
+++ /dev/null
@@ -1,31 +0,0 @@
-CREATE TABLE IF NOT EXISTS web_returns (
-    wr_returned_date_sk bigint,
-    wr_returned_time_sk bigint,
-    wr_item_sk bigint,
-    wr_refunded_customer_sk bigint,
-    wr_refunded_cdemo_sk bigint,
-    wr_refunded_hdemo_sk bigint,
-    wr_refunded_addr_sk bigint,
-    wr_returning_customer_sk bigint,
-    wr_returning_cdemo_sk bigint,
-    wr_returning_hdemo_sk bigint,
-    wr_returning_addr_sk bigint,
-    wr_web_page_sk bigint,
-    wr_reason_sk bigint,
-    wr_order_number bigint,
-    wr_return_quantity integer,
-    wr_return_amt decimalv3(7,2),
-    wr_return_tax decimalv3(7,2),
-    wr_return_amt_inc_tax decimalv3(7,2),
-    wr_fee decimalv3(7,2),
-    wr_return_ship_cost decimalv3(7,2),
-    wr_refunded_cash decimalv3(7,2),
-    wr_reversed_charge decimalv3(7,2),
-    wr_account_credit decimalv3(7,2),
-    wr_net_loss decimalv3(7,2)
-)
-DUPLICATE KEY(wr_returned_date_sk, wr_returned_time_sk, wr_item_sk, wr_refunded_customer_sk)
-DISTRIBUTED BY HASH(wr_refunded_customer_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_sales.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_sales.sql
deleted file mode 100644
index 245e04f1a6..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_sales.sql
+++ /dev/null
@@ -1,42 +0,0 @@
-CREATE TABLE IF NOT EXISTS web_sales (
-    ws_sold_date_sk bigint,
-    ws_sold_time_sk bigint,
-    ws_ship_date_sk bigint,
-    ws_item_sk bigint,
-    ws_bill_customer_sk bigint,
-    ws_bill_cdemo_sk bigint,
-    ws_bill_hdemo_sk bigint,
-    ws_bill_addr_sk bigint,
-    ws_ship_customer_sk bigint,
-    ws_ship_cdemo_sk bigint,
-    ws_ship_hdemo_sk bigint,
-    ws_ship_addr_sk bigint,
-    ws_web_page_sk bigint,
-    ws_web_site_sk bigint,
-    ws_ship_mode_sk bigint,
-    ws_warehouse_sk bigint,
-    ws_promo_sk bigint,
-    ws_order_number bigint,
-    ws_quantity integer,
-    ws_wholesale_cost decimalv3(7,2),
-    ws_list_price decimalv3(7,2),
-    ws_sales_price decimalv3(7,2),
-    ws_ext_discount_amt decimalv3(7,2),
-    ws_ext_sales_price decimalv3(7,2),
-    ws_ext_wholesale_cost decimalv3(7,2),
-    ws_ext_list_price decimalv3(7,2),
-    ws_ext_tax decimalv3(7,2),
-    ws_coupon_amt decimalv3(7,2),
-    ws_ext_ship_cost decimalv3(7,2),
-    ws_net_paid decimalv3(7,2),
-    ws_net_paid_inc_tax decimalv3(7,2),
-    ws_net_paid_inc_ship decimalv3(7,2),
-    ws_net_paid_inc_ship_tax decimalv3(7,2),
-    ws_net_profit decimalv3(7,2)
-)
-DUPLICATE KEY(ws_sold_date_sk, ws_sold_time_sk, ws_ship_date_sk, ws_item_sk)
-DISTRIBUTED BY HASH(ws_item_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_site.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_site.sql
deleted file mode 100644
index e1804f9ef8..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_site.sql
+++ /dev/null
@@ -1,36 +0,0 @@
-CREATE TABLE IF NOT EXISTS web_site (
-    web_site_sk bigint,
-    web_site_id char(16),
-    web_rec_start_date datev2,
-    web_rec_end_date datev2,
-    web_name varchar(50),
-    web_open_date_sk bigint,
-    web_close_date_sk bigint,
-    web_class varchar(50),
-    web_manager varchar(40),
-    web_mkt_id integer,
-    web_mkt_class varchar(50),
-    web_mkt_desc varchar(100),
-    web_market_manager varchar(40),
-    web_company_id integer,
-    web_company_name char(50),
-    web_street_number char(10),
-    web_street_name varchar(60),
-    web_street_type char(15),
-    web_suite_number char(10),
-    web_city varchar(60),
-    web_county varchar(30),
-    web_state char(2),
-    web_zip char(10),
-    web_country varchar(20),
-    web_gmt_offset decimalv3(5,2),
-    web_tax_percentage decimalv3(5,2)
-)
-DUPLICATE KEY(web_site_sk, web_site_id)
-DISTRIBUTED BY HASH(web_site_sk) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
-
-
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/load.groovy b/regression-test/suites/datev2/tpcds_sf1_p1/load.groovy
deleted file mode 100644
index d370954f73..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/load.groovy
+++ /dev/null
@@ -1,101 +0,0 @@
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-
-// The cases is copied from https://github.com/trinodb/trino/tree/master
-// /testing/trino-product-tests/src/main/resources/sql-tests/testcases/tpcds
-// and modified by Doris.
-suite("load") {
-    def tables=["store", "store_returns", "customer", "date_dim", "web_sales",
-                "catalog_sales", "store_sales", "item", "web_returns", "catalog_returns",
-                "catalog_page", "web_site", "customer_address", "customer_demographics",
-                "ship_mode", "promotion", "inventory", "time_dim", "income_band",
-                "call_center", "reason", "household_demographics", "warehouse", "web_page"]
-    def columnsMap = [
-        "item": """tmp_item_sk, tmp_item_id, tmp_rec_start_date, tmp_rec_end_date, tmp_item_desc,
-                tmp_current_price, tmp_wholesale_cost, tmp_brand_id, tmp_brand, tmp_class_id, tmp_class,
-                tmp_category_id, tmp_category, tmp_manufact_id, tmp_manufact, tmp_size, tmp_formulation,
-                tmp_color, tmp_units, tmp_container, tmp_manager_id, tmp_product_name,
-                i_item_sk=tmp_item_sk, i_item_id=tmp_item_id, i_rec_start_date=tmp_rec_start_date,
-                i_rec_end_date=tmp_rec_end_date, i_item_desc=tmp_item_desc, i_current_price=tmp_current_price,
-                i_wholesale_cost=tmp_wholesale_cost, i_brand_id=tmp_brand_id, i_brand=tmp_brand,
-                i_class_id=tmp_class_id, i_class=tmp_class, i_category_id=tmp_category_id,
-                i_category=nullif(tmp_category, ''), i_manufact_id=tmp_manufact_id, i_manufact=tmp_manufact,
-                i_size=tmp_size, i_formulation=tmp_formulation, i_color=tmp_color, i_units=tmp_units,
-                i_container=tmp_container, i_manager_id=tmp_manager_id, i_product_name=tmp_product_name""",
-
-        "customer_address": """tmp_address_sk, tmp_address_id, tmp_street_number, tmp_street_name, tmp_street_type, tmp_suite_number,
-                            tmp_city, tmp_county, tmp_state, tmp_zip, tmp_country, tmp_gmt_offset, tmp_location_type,
-                            ca_address_sk=tmp_address_sk, ca_address_id=tmp_address_id, ca_street_number=tmp_street_number,
-                            ca_street_name=tmp_street_name, ca_street_type=tmp_street_type, ca_suite_number=tmp_suite_number, ca_city=tmp_city,
-                            ca_county=nullif(tmp_county, ''), ca_state=tmp_state, ca_zip=tmp_zip, ca_country=tmp_country,
-                            ca_gmt_offset=tmp_gmt_offset, ca_location_type=tmp_location_type""",
-    ]
-
-    def specialTables = ["item", "customer_address"]
-
-    for (String table in tables) {
-        sql """ DROP TABLE IF EXISTS $table """
-    }
-
-    for (String table in tables) {
-        sql new File("""${context.file.parent}/ddl/${table}.sql""").text
-    }
-
-    sql "set exec_mem_limit=8G;"
-
-    for (String tableName in tables) {
-        streamLoad {
-            // you can skip db declaration, because a default db has already been
-            // specified in ${DORIS_HOME}/conf/regression-conf.groovy
-            // db 'regression_test'
-            table tableName
-
-            // default label is UUID:
-            // set 'label' UUID.randomUUID().toString()
-
-            // default column_separator is specify in doris fe config, usually is '\t'.
-            // this line change to ','
-            set 'column_separator', '|'
-            set 'compress_type', 'GZ'
-
-            if (specialTables.contains(tableName)) {
-            set "columns", columnsMap[tableName]
-            }
-
-            // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
-            // also, you can stream load a http stream, e.g. http://xxx/some.csv
-            file """${getS3Url()}/regression/tpcds/sf1/${tableName}.dat.gz"""
-
-            time 10000 // limit inflight 10s
-
-            // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
-
-            // if declared a check callback, the default check condition will ignore.
-            // So you must check all condition
-            check { result, exception, startTime, endTime ->
-                if (exception != null) {
-                    throw exception
-                }
-                log.info("Stream load result: ${result}".toString())
-                def json = parseJson(result)
-                assertEquals("success", json.Status.toLowerCase())
-                assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
-                assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
-            }
-        }
-    }
-}
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q01.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q01.sql
deleted file mode 100644
index e1c738b301..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q01.sql
+++ /dev/null
@@ -1,29 +0,0 @@
-WITH
-  customer_total_return AS (
-   SELECT
-     sr_customer_sk ctr_customer_sk
-   , sr_store_sk ctr_store_sk
-   , sum(sr_return_amt) ctr_total_return
-   FROM
-     store_returns
-   , date_dim
-   WHERE (sr_returned_date_sk = d_date_sk)
-      AND (d_year = 2000)
-   GROUP BY sr_customer_sk, sr_store_sk
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ c_customer_id
-FROM
-  customer_total_return ctr1
-, store
-, customer
-WHERE (ctr1.ctr_total_return > (
-      SELECT (avg(ctr_total_return) * 1.2)
-      FROM
-        customer_total_return ctr2
-      WHERE (ctr1.ctr_store_sk = ctr2.ctr_store_sk)
-   ))
-   AND (s_store_sk = ctr1.ctr_store_sk)
-   AND (s_state = 'TN')
-   AND (ctr1.ctr_customer_sk = c_customer_sk)
-ORDER BY c_customer_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q02.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q02.sql
deleted file mode 100644
index 125d393749..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q02.sql
+++ /dev/null
@@ -1,80 +0,0 @@
-WITH
-  wscs AS (
-   SELECT
-     sold_date_sk
-   , sales_price
-   FROM
-     (
-      SELECT
-        ws_sold_date_sk sold_date_sk
-      , ws_ext_sales_price sales_price
-      FROM
-        web_sales
-   ) x
-UNION ALL (
-      SELECT
-        cs_sold_date_sk sold_date_sk
-      , cs_ext_sales_price sales_price
-      FROM
-        catalog_sales
-   ) )
-, wswscs AS (
-   SELECT
-     d_week_seq
-   , sum((CASE WHEN (d_day_name = 'Sunday') THEN sales_price ELSE null END)) sun_sales
-   , sum((CASE WHEN (d_day_name = 'Monday') THEN sales_price ELSE null END)) mon_sales
-   , sum((CASE WHEN (d_day_name = 'Tuesday') THEN sales_price ELSE null END)) tue_sales
-   , sum((CASE WHEN (d_day_name = 'Wednesday') THEN sales_price ELSE null END)) wed_sales
-   , sum((CASE WHEN (d_day_name = 'Thursday') THEN sales_price ELSE null END)) thu_sales
-   , sum((CASE WHEN (d_day_name = 'Friday') THEN sales_price ELSE null END)) fri_sales
-   , sum((CASE WHEN (d_day_name = 'Saturday') THEN sales_price ELSE null END)) sat_sales
-   FROM
-     wscs
-   , date_dim
-   WHERE (d_date_sk = sold_date_sk)
-   GROUP BY d_week_seq
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  d_week_seq1
-, round((sun_sales1 / sun_sales2), 2)
-, round((mon_sales1 / mon_sales2), 2)
-, round((tue_sales1 / tue_sales2), 2)
-, round((wed_sales1 / wed_sales2), 2)
-, round((thu_sales1 / thu_sales2), 2)
-, round((fri_sales1 / fri_sales2), 2)
-, round((sat_sales1 / sat_sales2), 2)
-FROM
-  (
-   SELECT
-     wswscs.d_week_seq d_week_seq1
-   , sun_sales sun_sales1
-   , mon_sales mon_sales1
-   , tue_sales tue_sales1
-   , wed_sales wed_sales1
-   , thu_sales thu_sales1
-   , fri_sales fri_sales1
-   , sat_sales sat_sales1
-   FROM
-     wswscs
-   , date_dim
-   WHERE (date_dim.d_week_seq = wswscs.d_week_seq)
-      AND (d_year = 2001)
-)  y
-, (
-   SELECT
-     wswscs.d_week_seq d_week_seq2
-   , sun_sales sun_sales2
-   , mon_sales mon_sales2
-   , tue_sales tue_sales2
-   , wed_sales wed_sales2
-   , thu_sales thu_sales2
-   , fri_sales fri_sales2
-   , sat_sales sat_sales2
-   FROM
-     wswscs
-   , date_dim
-   WHERE (date_dim.d_week_seq = wswscs.d_week_seq)
-      AND (d_year = (2001 + 1))
-)  z
-WHERE (d_week_seq1 = (d_week_seq2 - 53))
-ORDER BY d_week_seq1 ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q03.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q03.sql
deleted file mode 100644
index ac94f81cc5..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q03.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  dt.d_year
-, item.i_brand_id brand_id
-, item.i_brand brand
-, sum(ss_ext_sales_price) sum_agg
-FROM
-  date_dim dt
-, store_sales
-, item
-WHERE (dt.d_date_sk = store_sales.ss_sold_date_sk)
-   AND (store_sales.ss_item_sk = item.i_item_sk)
-   AND (item.i_manufact_id = 128)
-   AND (dt.d_moy = 11)
-GROUP BY dt.d_year, item.i_brand, item.i_brand_id
-ORDER BY dt.d_year ASC, sum_agg DESC, brand_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q04.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q04.sql
deleted file mode 100644
index e5203461c5..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q04.sql
+++ /dev/null
@@ -1,93 +0,0 @@
-WITH
-  year_total AS (
-   SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , c_preferred_cust_flag customer_preferred_cust_flag
-   , c_birth_country customer_birth_country
-   , c_login customer_login
-   , c_email_address customer_email_address
-   , d_year dyear
-   , sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2)) year_total
-   , 's' sale_type
-   FROM
-     customer
-   , store_sales
-   , date_dim
-   WHERE (c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-   GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year
-UNION ALL    SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , c_preferred_cust_flag customer_preferred_cust_flag
-   , c_birth_country customer_birth_country
-   , c_login customer_login
-   , c_email_address customer_email_address
-   , d_year dyear
-   , sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2)) year_total
-   , 'c' sale_type
-   FROM
-     customer
-   , catalog_sales
-   , date_dim
-   WHERE (c_customer_sk = cs_bill_customer_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-   GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year
-UNION ALL    SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , c_preferred_cust_flag customer_preferred_cust_flag
-   , c_birth_country customer_birth_country
-   , c_login customer_login
-   , c_email_address customer_email_address
-   , d_year dyear
-   , sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2)) year_total
-   , 'w' sale_type
-   FROM
-     customer
-   , web_sales
-   , date_dim
-   WHERE (c_customer_sk = ws_bill_customer_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-   GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  t_s_secyear.customer_id
-, t_s_secyear.customer_first_name
-, t_s_secyear.customer_last_name
-, t_s_secyear.customer_preferred_cust_flag
-FROM
-  year_total t_s_firstyear
-, year_total t_s_secyear
-, year_total t_c_firstyear
-, year_total t_c_secyear
-, year_total t_w_firstyear
-, year_total t_w_secyear
-WHERE (t_s_secyear.customer_id = t_s_firstyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_c_secyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_c_firstyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_firstyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_secyear.customer_id)
-   AND (t_s_firstyear.sale_type = 's')
-   AND (t_c_firstyear.sale_type = 'c')
-   AND (t_w_firstyear.sale_type = 'w')
-   AND (t_s_secyear.sale_type = 's')
-   AND (t_c_secyear.sale_type = 'c')
-   AND (t_w_secyear.sale_type = 'w')
-   AND (t_s_firstyear.dyear = 2001)
-   AND (t_s_secyear.dyear = (2001 + 1))
-   AND (t_c_firstyear.dyear = 2001)
-   AND (t_c_secyear.dyear = (2001 + 1))
-   AND (t_w_firstyear.dyear = 2001)
-   AND (t_w_secyear.dyear = (2001 + 1))
-   AND (t_s_firstyear.year_total > 0)
-   AND (t_c_firstyear.year_total > 0)
-   AND (t_w_firstyear.year_total > 0)
-   AND ((CASE WHEN (t_c_firstyear.year_total > 0) THEN (t_c_secyear.year_total / t_c_firstyear.year_total) ELSE null END) > (CASE WHEN (t_s_firstyear.year_total > 0) THEN (t_s_secyear.year_total / t_s_firstyear.year_total) ELSE null END))
-   AND ((CASE WHEN (t_c_firstyear.year_total > 0) THEN (t_c_secyear.year_total / t_c_firstyear.year_total) ELSE null END) > (CASE WHEN (t_w_firstyear.year_total > 0) THEN (t_w_secyear.year_total / t_w_firstyear.year_total) ELSE null END))
-ORDER BY t_s_secyear.customer_id ASC, t_s_secyear.customer_first_name ASC, t_s_secyear.customer_last_name ASC, t_s_secyear.customer_preferred_cust_flag ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q05.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q05.sql
deleted file mode 100644
index e65ad57344..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q05.sql
+++ /dev/null
@@ -1,144 +0,0 @@
-WITH
-  ssr AS (
-   SELECT
-     s_store_id
-   , sum(sales_price) sales
-   , sum(profit) profit
-   , sum(return_amt) returns
-   , sum(net_loss) profit_loss
-   FROM
-     (
-      SELECT
-        ss_store_sk store_sk
-      , ss_sold_date_sk date_sk
-      , ss_ext_sales_price sales_price
-      , ss_net_profit profit
-      , CAST(0 AS DECIMALV3(7,2)) return_amt
-      , CAST(0 AS DECIMALV3(7,2)) net_loss
-      FROM
-        store_sales
-UNION ALL       SELECT
-        sr_store_sk store_sk
-      , sr_returned_date_sk date_sk
-      , CAST(0 AS DECIMALV3(7,2)) sales_price
-      , CAST(0 AS DECIMALV3(7,2)) profit
-      , sr_return_amt return_amt
-      , sr_net_loss net_loss
-      FROM
-        store_returns
-   )  salesreturns
-   , date_dim
-   , store
-   WHERE (date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '14' DAY))
-      AND (store_sk = s_store_sk)
-   GROUP BY s_store_id
-)
-, csr AS (
-   SELECT
-     cp_catalog_page_id
-   , sum(sales_price) sales
-   , sum(profit) profit
-   , sum(return_amt) returns
-   , sum(net_loss) profit_loss
-   FROM
-     (
-      SELECT
-        cs_catalog_page_sk page_sk
-      , cs_sold_date_sk date_sk
-      , cs_ext_sales_price sales_price
-      , cs_net_profit profit
-      , CAST(0 AS DECIMALV3(7,2)) return_amt
-      , CAST(0 AS DECIMALV3(7,2)) net_loss
-      FROM
-        catalog_sales
-UNION ALL       SELECT
-        cr_catalog_page_sk page_sk
-      , cr_returned_date_sk date_sk
-      , CAST(0 AS DECIMALV3(7,2)) sales_price
-      , CAST(0 AS DECIMALV3(7,2)) profit
-      , cr_return_amount return_amt
-      , cr_net_loss net_loss
-      FROM
-        catalog_returns
-   )  salesreturns
-   , date_dim
-   , catalog_page
-   WHERE (date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '14' DAY))
-      AND (page_sk = cp_catalog_page_sk)
-   GROUP BY cp_catalog_page_id
-)
-, wsr AS (
-   SELECT
-     web_site_id
-   , sum(sales_price) sales
-   , sum(profit) profit
-   , sum(return_amt) returns
-   , sum(net_loss) profit_loss
-   FROM
-     (
-      SELECT
-        ws_web_site_sk wsr_web_site_sk
-      , ws_sold_date_sk date_sk
-      , ws_ext_sales_price sales_price
-      , ws_net_profit profit
-      , CAST(0 AS DECIMALV3(7,2)) return_amt
-      , CAST(0 AS DECIMALV3(7,2)) net_loss
-      FROM
-        web_sales
-UNION ALL       SELECT
-        ws_web_site_sk wsr_web_site_sk
-      , wr_returned_date_sk date_sk
-      , CAST(0 AS DECIMALV3(7,2)) sales_price
-      , CAST(0 AS DECIMALV3(7,2)) profit
-      , wr_return_amt return_amt
-      , wr_net_loss net_loss
-      FROM
-        web_returns
-      LEFT JOIN web_sales ON (wr_item_sk = ws_item_sk)
-         AND (wr_order_number = ws_order_number)
-   )  salesreturns
-   , date_dim
-   , web_site
-   WHERE (date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '14' DAY))
-      AND (wsr_web_site_sk = web_site_sk)
-   GROUP BY web_site_id
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  channel
-, id
-, sum(sales) sales
-, sum(returns) returns
-, sum(profit) profit
-FROM
-  (
-   SELECT
-     'store channel' channel
-   , concat('store', s_store_id) id
-   , sales
-   , returns
-   , (profit - profit_loss) profit
-   FROM
-     ssr
-UNION ALL    SELECT
-     'catalog channel' channel
-   , concat('catalog_page', cp_catalog_page_id) id
-   , sales
-   , returns
-   , (profit - profit_loss) profit
-   FROM
-     csr
-UNION ALL    SELECT
-     'web channel' channel
-   , concat('web_site', web_site_id) id
-   , sales
-   , returns
-   , (profit - profit_loss) profit
-   FROM
-     wsr
-)  x
-GROUP BY ROLLUP (channel, id)
-ORDER BY channel ASC, id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q06.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q06.sql
deleted file mode 100644
index 421f43cf49..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q06.sql
+++ /dev/null
@@ -1,31 +0,0 @@
---- takes over 30 minutes on travis to complete
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  a.ca_state STATE
-, count(*) cnt
-FROM
-  customer_address a
-, customer c
-, store_sales s
-, date_dim d
-, item i
-WHERE (a.ca_address_sk = c.c_current_addr_sk)
-   AND (c.c_customer_sk = s.ss_customer_sk)
-   AND (s.ss_sold_date_sk = d.d_date_sk)
-   AND (s.ss_item_sk = i.i_item_sk)
-   AND (d.d_month_seq = (
-      SELECT DISTINCT d_month_seq
-      FROM
-        date_dim
-      WHERE (d_year = 2001)
-         AND (d_moy = 1)
-   ))
-   AND (i.i_current_price > (1.2 * (
-         SELECT avg(j.i_current_price)
-         FROM
-           item j
-         WHERE (j.i_category = i.i_category)
-      )))
-GROUP BY a.ca_state
-HAVING (count(*) >= 10)
-ORDER BY cnt ASC, a.ca_state ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q07.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q07.sql
deleted file mode 100644
index 8dff6e2062..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q07.sql
+++ /dev/null
@@ -1,25 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, avg(ss_quantity) agg1
-, avg(ss_list_price) agg2
-, avg(ss_coupon_amt) agg3
-, avg(ss_sales_price) agg4
-FROM
-  store_sales
-, customer_demographics
-, date_dim
-, item
-, promotion
-WHERE (ss_sold_date_sk = d_date_sk)
-   AND (ss_item_sk = i_item_sk)
-   AND (ss_cdemo_sk = cd_demo_sk)
-   AND (ss_promo_sk = p_promo_sk)
-   AND (cd_gender = 'M')
-   AND (cd_marital_status = 'S')
-   AND (cd_education_status = 'College')
-   AND ((p_channel_email = 'N')
-      OR (p_channel_event = 'N'))
-   AND (d_year = 2000)
-GROUP BY i_item_id
-ORDER BY i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q08.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q08.sql
deleted file mode 100644
index 6f86d66cc5..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q08.sql
+++ /dev/null
@@ -1,441 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_store_name
-, sum(ss_net_profit)
-FROM
-  store_sales
-, date_dim
-, store
-, (
-   SELECT ca_zip
-   FROM
-     (
-(
-         SELECT substr(ca_zip, 1, 5) ca_zip
-         FROM
-           customer_address
-         WHERE (substr(ca_zip, 1, 5) IN (
-                '24128'
-              , '57834'
-              , '13354'
-              , '15734'
-              , '78668'
-              , '76232'
-              , '62878'
-              , '45375'
-              , '63435'
-              , '22245'
-              , '65084'
-              , '49130'
-              , '40558'
-              , '25733'
-              , '15798'
-              , '87816'
-              , '81096'
-              , '56458'
-              , '35474'
-              , '27156'
-              , '83926'
-              , '18840'
-              , '28286'
-              , '24676'
-              , '37930'
-              , '77556'
-              , '27700'
-              , '45266'
-              , '94627'
-              , '62971'
-              , '20548'
-              , '23470'
-              , '47305'
-              , '53535'
-              , '21337'
-              , '26231'
-              , '50412'
-              , '69399'
-              , '17879'
-              , '51622'
-              , '43848'
-              , '21195'
-              , '83921'
-              , '15559'
-              , '67853'
-              , '15126'
-              , '16021'
-              , '26233'
-              , '53268'
-              , '10567'
-              , '91137'
-              , '76107'
-              , '11101'
-              , '59166'
-              , '38415'
-              , '61265'
-              , '71954'
-              , '15371'
-              , '11928'
-              , '15455'
-              , '98294'
-              , '68309'
-              , '69913'
-              , '59402'
-              , '58263'
-              , '25782'
-              , '18119'
-              , '35942'
-              , '33282'
-              , '42029'
-              , '17920'
-              , '98359'
-              , '15882'
-              , '45721'
-              , '60279'
-              , '18426'
-              , '64544'
-              , '25631'
-              , '43933'
-              , '37125'
-              , '98235'
-              , '10336'
-              , '24610'
-              , '68101'
-              , '56240'
-              , '40081'
-              , '86379'
-              , '44165'
-              , '33515'
-              , '88190'
-              , '84093'
-              , '27068'
-              , '99076'
-              , '36634'
-              , '50308'
-              , '28577'
-              , '39736'
-              , '33786'
-              , '71286'
-              , '26859'
-              , '55565'
-              , '98569'
-              , '70738'
-              , '19736'
-              , '64457'
-              , '17183'
-              , '28915'
-              , '26653'
-              , '58058'
-              , '89091'
-              , '54601'
-              , '24206'
-              , '14328'
-              , '55253'
-              , '82136'
-              , '67897'
-              , '56529'
-              , '72305'
-              , '67473'
-              , '62377'
-              , '22752'
-              , '57647'
-              , '62496'
-              , '41918'
-              , '36233'
-              , '86284'
-              , '54917'
-              , '22152'
-              , '19515'
-              , '63837'
-              , '18376'
-              , '42961'
-              , '10144'
-              , '36495'
-              , '58078'
-              , '38607'
-              , '91110'
-              , '64147'
-              , '19430'
-              , '17043'
-              , '45200'
-              , '63981'
-              , '48425'
-              , '22351'
-              , '30010'
-              , '21756'
-              , '14922'
-              , '14663'
-              , '77191'
-              , '60099'
-              , '29741'
-              , '36420'
-              , '21076'
-              , '91393'
-              , '28810'
-              , '96765'
-              , '23006'
-              , '18799'
-              , '49156'
-              , '98025'
-              , '23932'
-              , '67467'
-              , '30450'
-              , '50298'
-              , '29178'
-              , '89360'
-              , '32754'
-              , '63089'
-              , '87501'
-              , '87343'
-              , '29839'
-              , '30903'
-              , '81019'
-              , '18652'
-              , '73273'
-              , '25989'
-              , '20260'
-              , '68893'
-              , '53179'
-              , '30469'
-              , '28898'
-              , '31671'
-              , '24996'
-              , '18767'
-              , '64034'
-              , '91068'
-              , '51798'
-              , '51200'
-              , '63193'
-              , '39516'
-              , '72550'
-              , '72325'
-              , '51211'
-              , '23968'
-              , '86057'
-              , '10390'
-              , '85816'
-              , '45692'
-              , '65164'
-              , '21309'
-              , '18845'
-              , '68621'
-              , '92712'
-              , '68880'
-              , '90257'
-              , '47770'
-              , '13955'
-              , '70466'
-              , '21286'
-              , '67875'
-              , '82636'
-              , '36446'
-              , '79994'
-              , '72823'
-              , '40162'
-              , '41367'
-              , '41766'
-              , '22437'
-              , '58470'
-              , '11356'
-              , '76638'
-              , '68806'
-              , '25280'
-              , '67301'
-              , '73650'
-              , '86198'
-              , '16725'
-              , '38935'
-              , '13394'
-              , '61810'
-              , '81312'
-              , '15146'
-              , '71791'
-              , '31016'
-              , '72013'
-              , '37126'
-              , '22744'
-              , '73134'
-              , '70372'
-              , '30431'
-              , '39192'
-              , '35850'
-              , '56571'
-              , '67030'
-              , '22461'
-              , '88424'
-              , '88086'
-              , '14060'
-              , '40604'
-              , '19512'
-              , '72175'
-              , '51649'
-              , '19505'
-              , '24317'
-              , '13375'
-              , '81426'
-              , '18270'
-              , '72425'
-              , '45748'
-              , '55307'
-              , '53672'
-              , '52867'
-              , '56575'
-              , '39127'
-              , '30625'
-              , '10445'
-              , '39972'
-              , '74351'
-              , '26065'
-              , '83849'
-              , '42666'
-              , '96976'
-              , '68786'
-              , '77721'
-              , '68908'
-              , '66864'
-              , '63792'
-              , '51650'
-              , '31029'
-              , '26689'
-              , '66708'
-              , '11376'
-              , '20004'
-              , '31880'
-              , '96451'
-              , '41248'
-              , '94898'
-              , '18383'
-              , '60576'
-              , '38193'
-              , '48583'
-              , '13595'
-              , '76614'
-              , '24671'
-              , '46820'
-              , '82276'
-              , '10516'
-              , '11634'
-              , '45549'
-              , '88885'
-              , '18842'
-              , '90225'
-              , '18906'
-              , '13376'
-              , '84935'
-              , '78890'
-              , '58943'
-              , '15765'
-              , '50016'
-              , '69035'
-              , '49448'
-              , '39371'
-              , '41368'
-              , '33123'
-              , '83144'
-              , '14089'
-              , '94945'
-              , '73241'
-              , '19769'
-              , '47537'
-              , '38122'
-              , '28587'
-              , '76698'
-              , '22927'
-              , '56616'
-              , '34425'
-              , '96576'
-              , '78567'
-              , '97789'
-              , '94983'
-              , '79077'
-              , '57855'
-              , '97189'
-              , '46081'
-              , '48033'
-              , '19849'
-              , '28488'
-              , '28545'
-              , '72151'
-              , '69952'
-              , '43285'
-              , '26105'
-              , '76231'
-              , '15723'
-              , '25486'
-              , '39861'
-              , '83933'
-              , '75691'
-              , '46136'
-              , '61547'
-              , '66162'
-              , '25858'
-              , '22246'
-              , '51949'
-              , '27385'
-              , '77610'
-              , '34322'
-              , '51061'
-              , '68100'
-              , '61860'
-              , '13695'
-              , '44438'
-              , '90578'
-              , '96888'
-              , '58048'
-              , '99543'
-              , '73171'
-              , '56691'
-              , '64528'
-              , '56910'
-              , '83444'
-              , '30122'
-              , '68014'
-              , '14171'
-              , '16807'
-              , '83041'
-              , '34102'
-              , '51103'
-              , '79777'
-              , '17871'
-              , '12305'
-              , '22685'
-              , '94167'
-              , '28709'
-              , '35258'
-              , '57665'
-              , '71256'
-              , '57047'
-              , '11489'
-              , '31387'
-              , '68341'
-              , '78451'
-              , '14867'
-              , '25103'
-              , '35458'
-              , '25003'
-              , '54364'
-              , '73520'
-              , '32213'
-              , '35576'))
-      )       INTERSECT (
-         SELECT ca_zip
-         FROM
-           (
-            SELECT
-              substr(ca_zip, 1, 5) ca_zip
-            , count(*) cnt
-            FROM
-              customer_address
-            , customer
-            WHERE (ca_address_sk = c_current_addr_sk)
-               AND (c_preferred_cust_flag = 'Y')
-            GROUP BY ca_zip
-            HAVING (count(*) > 10)
-         )  a1
-      )    )  a2
-)  v1
-WHERE (ss_store_sk = s_store_sk)
-   AND (ss_sold_date_sk = d_date_sk)
-   AND (d_qoy = 2)
-   AND (d_year = 1998)
-   AND (substr(s_zip, 1, 2) = substr(v1.ca_zip, 1, 2))
-GROUP BY s_store_name
-ORDER BY s_store_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q09.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q09.sql
deleted file mode 100644
index 83ba7c807e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q09.sql
+++ /dev/null
@@ -1,84 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  (CASE WHEN ((
-      SELECT count(*)
-      FROM
-        store_sales
-      WHERE (ss_quantity BETWEEN 1 AND 20)
-   ) > 74129) THEN (
-   SELECT avg(ss_ext_discount_amt)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 1 AND 20)
-) ELSE (
-   SELECT avg(ss_net_paid)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 1 AND 20)
-) END) bucket1
-, (CASE WHEN ((
-      SELECT count(*)
-      FROM
-        store_sales
-      WHERE (ss_quantity BETWEEN 21 AND 40)
-   ) > 122840) THEN (
-   SELECT avg(ss_ext_discount_amt)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 21 AND 40)
-) ELSE (
-   SELECT avg(ss_net_paid)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 21 AND 40)
-) END) bucket2
-, (CASE WHEN ((
-      SELECT count(*)
-      FROM
-        store_sales
-      WHERE (ss_quantity BETWEEN 41 AND 60)
-   ) > 56580) THEN (
-   SELECT avg(ss_ext_discount_amt)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 41 AND 60)
-) ELSE (
-   SELECT avg(ss_net_paid)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 41 AND 60)
-) END) bucket3
-, (CASE WHEN ((
-      SELECT count(*)
-      FROM
-        store_sales
-      WHERE (ss_quantity BETWEEN 61 AND 80)
-   ) > 10097) THEN (
-   SELECT avg(ss_ext_discount_amt)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 61 AND 80)
-) ELSE (
-   SELECT avg(ss_net_paid)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 61 AND 80)
-) END) bucket4
-, (CASE WHEN ((
-      SELECT count(*)
-      FROM
-        store_sales
-      WHERE (ss_quantity BETWEEN 81 AND 100)
-   ) > 165306) THEN (
-   SELECT avg(ss_ext_discount_amt)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 81 AND 100)
-) ELSE (
-   SELECT avg(ss_net_paid)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 81 AND 100)
-) END) bucket5
-FROM
-  reason
-WHERE (r_reason_sk = 1)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q10.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q10.sql
deleted file mode 100644
index f858219be1..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q10.sql
+++ /dev/null
@@ -1,57 +0,0 @@
-/*
-SELECT
-  cd_gender
-, cd_marital_status
-, cd_education_status
-, count(*) cnt1
-, cd_purchase_estimate
-, count(*) cnt2
-, cd_credit_rating
-, count(*) cnt3
-, cd_dep_count
-, count(*) cnt4
-, cd_dep_employed_count
-, count(*) cnt5
-, cd_dep_college_count
-, count(*) cnt6
-FROM
-  customer c
-, customer_address ca
-, customer_demographics
-WHERE (c.c_current_addr_sk = ca.ca_address_sk)
-   AND (ca_county IN ('Rush County', 'Toole County', 'Jefferson County', 'Dona Ana County', 'La Porte County'))
-   AND (cd_demo_sk = c.c_current_cdemo_sk)
-   AND (EXISTS (
-   SELECT *
-   FROM
-     store_sales
-   , date_dim
-   WHERE (c.c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 2002)
-      AND (d_moy BETWEEN 1 AND (1 + 3))
-))
-   AND ((EXISTS (
-      SELECT *
-      FROM
-        web_sales
-      , date_dim
-      WHERE (c.c_customer_sk = ws_bill_customer_sk)
-         AND (ws_sold_date_sk = d_date_sk)
-         AND (d_year = 2002)
-         AND (d_moy BETWEEN 1 AND (1 + 3))
-   ))
-      OR (EXISTS (
-      SELECT *
-      FROM
-        catalog_sales
-      , date_dim
-      WHERE (c.c_customer_sk = cs_ship_customer_sk)
-         AND (cs_sold_date_sk = d_date_sk)
-         AND (d_year = 2002)
-         AND (d_moy BETWEEN 1 AND (1 + 3))
-   )))
-GROUP BY cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating, cd_dep_count, cd_dep_employed_count, cd_dep_college_count
-ORDER BY cd_gender ASC, cd_marital_status ASC, cd_education_status ASC, cd_purchase_estimate ASC, cd_credit_rating ASC, cd_dep_count ASC, cd_dep_employed_count ASC, cd_dep_college_count ASC
-LIMIT 100
-*/
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q11.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q11.sql
deleted file mode 100644
index 9dd8e3df98..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q11.sql
+++ /dev/null
@@ -1,67 +0,0 @@
-WITH
-  year_total AS (
-   SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , c_preferred_cust_flag customer_preferred_cust_flag
-   , c_birth_country customer_birth_country
-   , c_login customer_login
-   , c_email_address customer_email_address
-   , d_year dyear
-   , sum((ss_ext_list_price - ss_ext_discount_amt)) year_total
-   , 's' sale_type
-   FROM
-     customer
-   , store_sales
-   , date_dim
-   WHERE (c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-   GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year
-UNION ALL    SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , c_preferred_cust_flag customer_preferred_cust_flag
-   , c_birth_country customer_birth_country
-   , c_login customer_login
-   , c_email_address customer_email_address
-   , d_year dyear
-   , sum((ws_ext_list_price - ws_ext_discount_amt)) year_total
-   , 'w' sale_type
-   FROM
-     customer
-   , web_sales
-   , date_dim
-   WHERE (c_customer_sk = ws_bill_customer_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-   GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  t_s_secyear.customer_id
-, t_s_secyear.customer_first_name
-, t_s_secyear.customer_last_name
-, t_s_secyear.customer_preferred_cust_flag
-, t_s_secyear.customer_birth_country
-, t_s_secyear.customer_login
-FROM
-  year_total t_s_firstyear
-, year_total t_s_secyear
-, year_total t_w_firstyear
-, year_total t_w_secyear
-WHERE (t_s_secyear.customer_id = t_s_firstyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_secyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_firstyear.customer_id)
-   AND (t_s_firstyear.sale_type = 's')
-   AND (t_w_firstyear.sale_type = 'w')
-   AND (t_s_secyear.sale_type = 's')
-   AND (t_w_secyear.sale_type = 'w')
-   AND (t_s_firstyear.dyear = 2001)
-   AND (t_s_secyear.dyear = (2001 + 1))
-   AND (t_w_firstyear.dyear = 2001)
-   AND (t_w_secyear.dyear = (2001 + 1))
-   AND (t_s_firstyear.year_total > 0)
-   AND (t_w_firstyear.year_total > 0)
-   AND ((CASE WHEN (t_w_firstyear.year_total > 0) THEN (t_w_secyear.year_total / t_w_firstyear.year_total) ELSE 0.0 END) > (CASE WHEN (t_s_firstyear.year_total > 0) THEN (t_s_secyear.year_total / t_s_firstyear.year_total) ELSE 0.0 END))
-ORDER BY t_s_secyear.customer_id ASC, t_s_secyear.customer_first_name ASC, t_s_secyear.customer_last_name ASC, t_s_secyear.customer_preferred_cust_flag ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q12.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q12.sql
deleted file mode 100644
index c3ff2b268a..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q12.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, i_item_desc
-, i_category
-, i_class
-, i_current_price
-, sum(ws_ext_sales_price) itemrevenue
-, ((sum(ws_ext_sales_price) * 100) / sum(sum(ws_ext_sales_price)) OVER (PARTITION BY i_class)) revenueratio
-FROM
-  web_sales
-, item
-, date_dim
-WHERE (ws_item_sk = i_item_sk)
-   AND (i_category IN ('Sports', 'Books', 'Home'))
-   AND (ws_sold_date_sk = d_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN CAST('1999-02-22' AS DATE) AND (CAST('1999-02-22' AS DATE) + INTERVAL  '30' DAY))
-GROUP BY i_item_id, i_item_desc, i_category, i_class, i_current_price
-ORDER BY i_category ASC, i_class ASC, i_item_id ASC, i_item_desc ASC, revenueratio ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q13.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q13.sql
deleted file mode 100644
index fccd355adb..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q13.sql
+++ /dev/null
@@ -1,45 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  avg(ss_quantity)
-, avg(ss_ext_sales_price)
-, avg(ss_ext_wholesale_cost)
-, sum(ss_ext_wholesale_cost)
-FROM
-  store_sales
-, store
-, customer_demographics
-, household_demographics
-, customer_address
-, date_dim
-WHERE (s_store_sk = ss_store_sk)
-   AND (ss_sold_date_sk = d_date_sk)
-   AND (d_year = 2001)
-   AND (((ss_hdemo_sk = hd_demo_sk)
-         AND (cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'M')
-         AND (cd_education_status = 'Advanced Degree')
-         AND (ss_sales_price BETWEEN 100.00 AND 150.00)
-         AND (hd_dep_count = 3))
-      OR ((ss_hdemo_sk = hd_demo_sk)
-         AND (cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'S')
-         AND (cd_education_status = 'College')
-         AND (ss_sales_price BETWEEN 50.00 AND 100.00)
-         AND (hd_dep_count = 1))
-      OR ((ss_hdemo_sk = hd_demo_sk)
-         AND (cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'W')
-         AND (cd_education_status = '2 yr Degree')
-         AND (ss_sales_price BETWEEN 150.00 AND 200.00)
-         AND (hd_dep_count = 1)))
-   AND (((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('TX'      , 'OH'      , 'TX'))
-         AND (ss_net_profit BETWEEN 100 AND 200))
-      OR ((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('OR'      , 'NM'      , 'KY'))
-         AND (ss_net_profit BETWEEN 150 AND 300))
-      OR ((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('VA'      , 'TX'      , 'MS'))
-         AND (ss_net_profit BETWEEN 50 AND 250)))
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q14_1.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q14_1.sql
deleted file mode 100644
index 3108b3e56e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q14_1.sql
+++ /dev/null
@@ -1,165 +0,0 @@
-WITH
-  cross_items AS (
-   SELECT i_item_sk ss_item_sk
-   FROM
-     item
-   , (
-      SELECT
-        iss.i_brand_id brand_id
-      , iss.i_class_id class_id
-      , iss.i_category_id category_id
-      FROM
-        store_sales
-      , item iss
-      , date_dim d1
-      WHERE (ss_item_sk = iss.i_item_sk)
-         AND (ss_sold_date_sk = d1.d_date_sk)
-         AND (d1.d_year BETWEEN 1999 AND (1999 + 2))
-INTERSECT       SELECT
-        ics.i_brand_id
-      , ics.i_class_id
-      , ics.i_category_id
-      FROM
-        catalog_sales
-      , item ics
-      , date_dim d2
-      WHERE (cs_item_sk = ics.i_item_sk)
-         AND (cs_sold_date_sk = d2.d_date_sk)
-         AND (d2.d_year BETWEEN 1999 AND (1999 + 2))
-INTERSECT       SELECT
-        iws.i_brand_id
-      , iws.i_class_id
-      , iws.i_category_id
-      FROM
-        web_sales
-      , item iws
-      , date_dim d3
-      WHERE (ws_item_sk = iws.i_item_sk)
-         AND (ws_sold_date_sk = d3.d_date_sk)
-         AND (d3.d_year BETWEEN 1999 AND (1999 + 2))
-   ) y 
-   WHERE (i_brand_id = brand_id)
-      AND (i_class_id = class_id)
-      AND (i_category_id = category_id)
-)
-, avg_sales AS (
-   SELECT avg((quantity * list_price)) average_sales
-   FROM
-     (
-      SELECT
-        ss_quantity quantity
-      , ss_list_price list_price
-      FROM
-        store_sales
-      , date_dim
-      WHERE (ss_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-UNION ALL       SELECT
-        cs_quantity quantity
-      , cs_list_price list_price
-      FROM
-        catalog_sales
-      , date_dim
-      WHERE (cs_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-UNION ALL       SELECT
-        ws_quantity quantity
-      , ws_list_price list_price
-      FROM
-        web_sales
-      , date_dim
-      WHERE (ws_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-   )  x
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  channel
-, i_brand_id
-, i_class_id
-, i_category_id
-, sum(sales)
-, sum(number_sales)
-FROM
-  (
-   SELECT
-     'store' channel
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , sum((ss_quantity * ss_list_price)) sales
-   , count(*) number_sales
-   FROM
-     store_sales
-   , item
-   , date_dim
-   WHERE (ss_item_sk IN (
-      SELECT ss_item_sk
-      FROM
-        cross_items
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = (1999 + 2))
-      AND (d_moy = 11)
-   GROUP BY i_brand_id, i_class_id, i_category_id
-   HAVING (sum((ss_quantity * ss_list_price)) > (
-         SELECT average_sales
-         FROM
-           avg_sales
-      ))
-UNION ALL    SELECT
-     'catalog' channel
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , sum((cs_quantity * cs_list_price)) sales
-   , count(*) number_sales
-   FROM
-     catalog_sales
-   , item
-   , date_dim
-   WHERE (cs_item_sk IN (
-      SELECT ss_item_sk
-      FROM
-        cross_items
-   ))
-      AND (cs_item_sk = i_item_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (d_year = (1999 + 2))
-      AND (d_moy = 11)
-   GROUP BY i_brand_id, i_class_id, i_category_id
-   HAVING (sum((cs_quantity * cs_list_price)) > (
-         SELECT average_sales
-         FROM
-           avg_sales
-      ))
-UNION ALL    SELECT
-     'web' channel
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , sum((ws_quantity * ws_list_price)) sales
-   , count(*) number_sales
-   FROM
-     web_sales
-   , item
-   , date_dim
-   WHERE (ws_item_sk IN (
-      SELECT ss_item_sk
-      FROM
-        cross_items
-   ))
-      AND (ws_item_sk = i_item_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year = (1999 + 2))
-      AND (d_moy = 11)
-   GROUP BY i_brand_id, i_class_id, i_category_id
-   HAVING (sum((ws_quantity * ws_list_price)) > (
-         SELECT average_sales
-         FROM
-           avg_sales
-      ))
-)  y
-GROUP BY ROLLUP (channel, i_brand_id, i_class_id, i_category_id)
-ORDER BY channel ASC, i_brand_id ASC, i_class_id ASC, i_category_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q14_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q14_2.sql
deleted file mode 100644
index 307fef9d25..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q14_2.sql
+++ /dev/null
@@ -1,149 +0,0 @@
-WITH
-  cross_items AS (
-   SELECT i_item_sk ss_item_sk
-   FROM
-     item
-   , (
-      SELECT
-        iss.i_brand_id brand_id
-      , iss.i_class_id class_id
-      , iss.i_category_id category_id
-      FROM
-        store_sales
-      , item iss
-      , date_dim d1
-      WHERE (ss_item_sk = iss.i_item_sk)
-         AND (ss_sold_date_sk = d1.d_date_sk)
-         AND (d1.d_year BETWEEN 1999 AND (1999 + 2))
-INTERSECT       SELECT
-        ics.i_brand_id
-      , ics.i_class_id
-      , ics.i_category_id
-      FROM
-        catalog_sales
-      , item ics
-      , date_dim d2
-      WHERE (cs_item_sk = ics.i_item_sk)
-         AND (cs_sold_date_sk = d2.d_date_sk)
-         AND (d2.d_year BETWEEN 1999 AND (1999 + 2))
-INTERSECT       SELECT
-        iws.i_brand_id
-      , iws.i_class_id
-      , iws.i_category_id
-      FROM
-        web_sales
-      , item iws
-      , date_dim d3
-      WHERE (ws_item_sk = iws.i_item_sk)
-         AND (ws_sold_date_sk = d3.d_date_sk)
-         AND (d3.d_year BETWEEN 1999 AND (1999 + 2))
-   )  x
-   WHERE (i_brand_id = brand_id)
-      AND (i_class_id = class_id)
-      AND (i_category_id = category_id)
-)
-, avg_sales AS (
-   SELECT avg((quantity * list_price)) average_sales
-   FROM
-     (
-      SELECT
-        ss_quantity quantity
-      , ss_list_price list_price
-      FROM
-        store_sales
-      , date_dim
-      WHERE (ss_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-UNION ALL       SELECT
-        cs_quantity quantity
-      , cs_list_price list_price
-      FROM
-        catalog_sales
-      , date_dim
-      WHERE (cs_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-UNION ALL       SELECT
-        ws_quantity quantity
-      , ws_list_price list_price
-      FROM
-        web_sales
-      , date_dim
-      WHERE (ws_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-   ) y
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  (
-   SELECT
-     'store' channel
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , sum((ss_quantity * ss_list_price)) sales
-   , count(*) number_sales
-   FROM
-     store_sales
-   , item
-   , date_dim
-   WHERE (ss_item_sk IN (
-      SELECT ss_item_sk
-      FROM
-        cross_items
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_week_seq = (
-         SELECT d_week_seq
-         FROM
-           date_dim
-         WHERE (d_year = (1999 + 1))
-            AND (d_moy = 12)
-            AND (d_dom = 11)
-      ))
-   GROUP BY i_brand_id, i_class_id, i_category_id
-   HAVING (sum((ss_quantity * ss_list_price)) > (
-         SELECT average_sales
-         FROM
-           avg_sales
-      ))
-)  this_year
-, (
-   SELECT
-     'store' channel
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , sum((ss_quantity * ss_list_price)) sales
-   , count(*) number_sales
-   FROM
-     store_sales
-   , item
-   , date_dim
-   WHERE (ss_item_sk IN (
-      SELECT ss_item_sk
-      FROM
-        cross_items
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_week_seq = (
-         SELECT d_week_seq
-         FROM
-           date_dim
-         WHERE (d_year = 1999)
-            AND (d_moy = 12)
-            AND (d_dom = 11)
-      ))
-   GROUP BY i_brand_id, i_class_id, i_category_id
-   HAVING (sum((ss_quantity * ss_list_price)) > (
-         SELECT average_sales
-         FROM
-           avg_sales
-      ))
-)  last_year
-WHERE (this_year.i_brand_id = last_year.i_brand_id)
-   AND (this_year.i_class_id = last_year.i_class_id)
-   AND (this_year.i_category_id = last_year.i_category_id)
-ORDER BY this_year.channel ASC, this_year.i_brand_id ASC, this_year.i_class_id ASC, this_year.i_category_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q15.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q15.sql
deleted file mode 100644
index 2ca5e11f9d..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q15.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  ca_zip
-, sum(cs_sales_price)
-FROM
-  catalog_sales
-, customer
-, customer_address
-, date_dim
-WHERE (cs_bill_customer_sk = c_customer_sk)
-   AND (c_current_addr_sk = ca_address_sk)
-   AND ((substr(ca_zip, 1, 5) IN ('85669'   , '86197'   , '88274'   , '83405'   , '86475'   , '85392'   , '85460'   , '80348'   , '81792'))
-      OR (ca_state IN ('CA'   , 'WA'   , 'GA'))
-      OR (cs_sales_price > 500))
-   AND (cs_sold_date_sk = d_date_sk)
-   AND (d_qoy = 2)
-   AND (d_year = 2001)
-GROUP BY ca_zip
-ORDER BY ca_zip ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q16.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q16.sql
deleted file mode 100644
index 30bcb76dc9..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q16.sql
+++ /dev/null
@@ -1,30 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  count(DISTINCT cs_order_number) 'order count'
-, sum(cs_ext_ship_cost) 'total shipping cost'
-, sum(cs_net_profit) 'total net profit'
-FROM
-  catalog_sales cs1
-, date_dim
-, customer_address
-, call_center
-WHERE (d_date BETWEEN CAST('2002-2-01' AS DATE) AND (CAST('2002-2-01' AS DATE) + INTERVAL  '60' DAY))
-   AND (cs1.cs_ship_date_sk = d_date_sk)
-   AND (cs1.cs_ship_addr_sk = ca_address_sk)
-   AND (ca_state = 'GA')
-   AND (cs1.cs_call_center_sk = cc_call_center_sk)
-   AND (cc_county IN ('Williamson County', 'Williamson County', 'Williamson County', 'Williamson County', 'Williamson County'))
-   AND (EXISTS (
-   SELECT *
-   FROM
-     catalog_sales cs2
-   WHERE (cs1.cs_order_number = cs2.cs_order_number)
-      AND (cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
-))
-   AND (NOT (EXISTS (
-   SELECT *
-   FROM
-     catalog_returns cr1
-   WHERE (cs1.cs_order_number = cr1.cr_order_number)
-)))
-ORDER BY count(DISTINCT cs_order_number) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q17.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q17.sql
deleted file mode 100644
index cdda9c6310..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q17.sql
+++ /dev/null
@@ -1,41 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, i_item_desc
-, s_state
-, count(ss_quantity) store_sales_quantitycount
-, avg(ss_quantity) store_sales_quantityave
-, stddev_samp(ss_quantity) store_sales_quantitystdev
-, (stddev_samp(ss_quantity) / avg(ss_quantity)) store_sales_quantitycov
-, count(sr_return_quantity) store_returns_quantitycount
-, avg(sr_return_quantity) store_returns_quantityave
-, stddev_samp(sr_return_quantity) store_returns_quantitystdev
-, (stddev_samp(sr_return_quantity) / avg(sr_return_quantity)) store_returns_quantitycov
-, count(cs_quantity) catalog_sales_quantitycount
-, avg(cs_quantity) catalog_sales_quantityave
-, stddev_samp(cs_quantity) catalog_sales_quantitystdev
-, (stddev_samp(cs_quantity) / avg(cs_quantity)) catalog_sales_quantitycov
-FROM
-  store_sales
-, store_returns
-, catalog_sales
-, date_dim d1
-, date_dim d2
-, date_dim d3
-, store
-, item
-WHERE (d1.d_quarter_name = '2001Q1')
-   AND (d1.d_date_sk = ss_sold_date_sk)
-   AND (i_item_sk = ss_item_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (ss_customer_sk = sr_customer_sk)
-   AND (ss_item_sk = sr_item_sk)
-   AND (ss_ticket_number = sr_ticket_number)
-   AND (sr_returned_date_sk = d2.d_date_sk)
-   AND (d2.d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
-   AND (sr_customer_sk = cs_bill_customer_sk)
-   AND (sr_item_sk = cs_item_sk)
-   AND (cs_sold_date_sk = d3.d_date_sk)
-   AND (d3.d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
-GROUP BY i_item_id, i_item_desc, s_state
-ORDER BY i_item_id ASC, i_item_desc ASC, s_state ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q18.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q18.sql
deleted file mode 100644
index 8c2eb2f4cf..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q18.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, ca_country
-, ca_state
-, ca_county
-, avg(CAST(cs_quantity AS DECIMALV3(12,2))) agg1
-, avg(CAST(cs_list_price AS DECIMALV3(12,2))) agg2
-, avg(CAST(cs_coupon_amt AS DECIMALV3(12,2))) agg3
-, avg(CAST(cs_sales_price AS DECIMALV3(12,2))) agg4
-, avg(CAST(cs_net_profit AS DECIMALV3(12,2))) agg5
-, avg(CAST(c_birth_year AS DECIMALV3(12,2))) agg6
-, avg(CAST(cd1.cd_dep_count AS DECIMALV3(12,2))) agg7
-FROM
-  catalog_sales
-, customer_demographics cd1
-, customer_demographics cd2
-, customer
-, customer_address
-, date_dim
-, item
-WHERE (cs_sold_date_sk = d_date_sk)
-   AND (cs_item_sk = i_item_sk)
-   AND (cs_bill_cdemo_sk = cd1.cd_demo_sk)
-   AND (cs_bill_customer_sk = c_customer_sk)
-   AND (cd1.cd_gender = 'F')
-   AND (cd1.cd_education_status = 'Unknown')
-   AND (c_current_cdemo_sk = cd2.cd_demo_sk)
-   AND (c_current_addr_sk = ca_address_sk)
-   AND (c_birth_month IN (1, 6, 8, 9, 12, 2))
-   AND (d_year = 1998)
-   AND (ca_state IN ('MS', 'IN', 'ND', 'OK', 'NM', 'VA', 'MS'))
-GROUP BY ROLLUP (i_item_id, ca_country, ca_state, ca_county)
-ORDER BY ca_country ASC, ca_state ASC, ca_county ASC, i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q19.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q19.sql
deleted file mode 100644
index 5606e71f6e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q19.sql
+++ /dev/null
@@ -1,25 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_brand_id brand_id
-, i_brand brand
-, i_manufact_id
-, i_manufact
-, sum(ss_ext_sales_price) ext_price
-FROM
-  date_dim
-, store_sales
-, item
-, customer
-, customer_address
-, store
-WHERE (d_date_sk = ss_sold_date_sk)
-   AND (ss_item_sk = i_item_sk)
-   AND (i_manager_id = 8)
-   AND (d_moy = 11)
-   AND (d_year = 1998)
-   AND (ss_customer_sk = c_customer_sk)
-   AND (c_current_addr_sk = ca_address_sk)
-   AND (substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5))
-   AND (ss_store_sk = s_store_sk)
-GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact
-ORDER BY ext_price DESC, i_brand ASC, i_brand_id ASC, i_manufact_id ASC, i_manufact ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q20.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q20.sql
deleted file mode 100644
index 58c0e65767..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q20.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, i_item_desc
-, i_category
-, i_class
-, i_current_price
-, sum(cs_ext_sales_price) itemrevenue
-, ((sum(cs_ext_sales_price) * 100) / sum(sum(cs_ext_sales_price)) OVER (PARTITION BY i_class)) revenueratio
-FROM
-  catalog_sales
-, item
-, date_dim
-WHERE (cs_item_sk = i_item_sk)
-   AND (i_category IN ('Sports', 'Books', 'Home'))
-   AND (cs_sold_date_sk = d_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN CAST('1999-02-22' AS DATE) AND (CAST('1999-02-22' AS DATE) + INTERVAL  '30' DAY))
-GROUP BY i_item_id, i_item_desc, i_category, i_class, i_current_price
-ORDER BY i_category ASC, i_class ASC, i_item_id ASC, i_item_desc ASC, revenueratio ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q21.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q21.sql
deleted file mode 100644
index 30fdbd03ea..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q21.sql
+++ /dev/null
@@ -1,23 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  (
-   SELECT
-     w_warehouse_name
-   , i_item_id
-   , sum((CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN inv_quantity_on_hand ELSE 0 END)) inv_before
-   , sum((CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN inv_quantity_on_hand ELSE 0 END)) inv_after
-   FROM
-     inventory
-   , warehouse
-   , item
-   , date_dim
-   WHERE (i_current_price BETWEEN 0.99 AND 1.49)
-      AND (i_item_sk = inv_item_sk)
-      AND (inv_warehouse_sk = w_warehouse_sk)
-      AND (inv_date_sk = d_date_sk)
-      AND (d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL  '30' DAY) AND (CAST('2000-03-11' AS DATE) + INTERVAL  '30' DAY))
-   GROUP BY w_warehouse_name, i_item_id
-)  x
-WHERE ((CASE WHEN (inv_before > 0) THEN (inv_after / inv_before) ELSE null END) BETWEEN (2.00 / 3.00) AND (3.00 / 2.00))
-ORDER BY w_warehouse_name ASC, i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q22.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q22.sql
deleted file mode 100644
index 6a310bc8ec..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q22.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_product_name
-, i_brand
-, i_class
-, i_category
-, avg(inv_quantity_on_hand) qoh
-FROM
-  inventory
-, date_dim
-, item
-WHERE (inv_date_sk = d_date_sk)
-   AND (inv_item_sk = i_item_sk)
-   AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-GROUP BY ROLLUP (i_product_name, i_brand, i_class, i_category)
-ORDER BY qoh ASC, i_product_name ASC, i_brand ASC, i_class ASC, i_category ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q23_1.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q23_1.sql
deleted file mode 100644
index 2ddb472171..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q23_1.sql
+++ /dev/null
@@ -1,88 +0,0 @@
-WITH
-  frequent_ss_items AS (
-   SELECT
-     substr(i_item_desc, 1, 30) itemdesc
-   , i_item_sk item_sk
-   , d_date solddate
-   , count(*) cnt
-   FROM
-     store_sales
-   , date_dim
-   , item
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (d_year IN (2000   , (2000 + 1)   , (2000 + 2)   , (2000 + 3)))
-   GROUP BY substr(i_item_desc, 1, 30), i_item_sk, d_date
-   HAVING (count(*) > 4)
-)
-, max_store_sales AS (
-   SELECT max(csales) tpcds_cmax
-   FROM
-     (
-      SELECT
-        c_customer_sk
-      , sum((ss_quantity * ss_sales_price)) csales
-      FROM
-        store_sales
-      , customer
-      , date_dim
-      WHERE (ss_customer_sk = c_customer_sk)
-         AND (ss_sold_date_sk = d_date_sk)
-         AND (d_year IN (2000      , (2000 + 1)      , (2000 + 2)      , (2000 + 3)))
-      GROUP BY c_customer_sk
-   ) x
-)
-, best_ss_customer AS (
-   SELECT
-     c_customer_sk
-   , sum((ss_quantity * ss_sales_price)) ssales
-   FROM
-     store_sales
-   , customer
-   WHERE (ss_customer_sk = c_customer_sk)
-   GROUP BY c_customer_sk
-   HAVING (sum((ss_quantity * ss_sales_price)) > ((50 / 100.0) * (
-            SELECT *
-            FROM
-              max_store_sales
-         )))
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ sum(sales)
-FROM
-  (
-   SELECT (cs_quantity * cs_list_price) sales
-   FROM
-     catalog_sales
-   , date_dim
-   WHERE (d_year = 2000)
-      AND (d_moy = 2)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (cs_item_sk IN (
-      SELECT item_sk
-      FROM
-        frequent_ss_items
-   ))
-      AND (cs_bill_customer_sk IN (
-      SELECT c_customer_sk
-      FROM
-        best_ss_customer
-   ))
-UNION ALL    SELECT (ws_quantity * ws_list_price) sales
-   FROM
-     web_sales
-   , date_dim
-   WHERE (d_year = 2000)
-      AND (d_moy = 2)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (ws_item_sk IN (
-      SELECT item_sk
-      FROM
-        frequent_ss_items
-   ))
-      AND (ws_bill_customer_sk IN (
-      SELECT c_customer_sk
-      FROM
-        best_ss_customer
-   ))
-) y
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q23_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q23_2.sql
deleted file mode 100644
index d1ee516c0e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q23_2.sql
+++ /dev/null
@@ -1,104 +0,0 @@
-WITH
-  frequent_ss_items AS (
-   SELECT
-     substr(i_item_desc, 1, 30) itemdesc
-   , i_item_sk item_sk
-   , d_date solddate
-   , count(*) cnt
-   FROM
-     store_sales
-   , date_dim
-   , item
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (d_year IN (2000   , (2000 + 1)   , (2000 + 2)   , (2000 + 3)))
-   GROUP BY substr(i_item_desc, 1, 30), i_item_sk, d_date
-   HAVING (count(*) > 4)
-)
-, max_store_sales AS (
-   SELECT max(csales) tpcds_cmax
-   FROM
-     (
-      SELECT
-        c_customer_sk
-      , sum((ss_quantity * ss_sales_price)) csales
-      FROM
-        store_sales
-      , customer
-      , date_dim
-      WHERE (ss_customer_sk = c_customer_sk)
-         AND (ss_sold_date_sk = d_date_sk)
-         AND (d_year IN (2000      , (2000 + 1)      , (2000 + 2)      , (2000 + 3)))
-      GROUP BY c_customer_sk
-   ) x
-)
-, best_ss_customer AS (
-   SELECT
-     c_customer_sk
-   , sum((ss_quantity * ss_sales_price)) ssales
-   FROM
-     store_sales
-   , customer
-   WHERE (ss_customer_sk = c_customer_sk)
-   GROUP BY c_customer_sk
-   HAVING (sum((ss_quantity * ss_sales_price)) > ((50 / 100.0) * (
-            SELECT *
-            FROM
-              max_store_sales
-         )))
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_last_name
-, c_first_name
-, sales
-FROM
-  (
-   SELECT
-     c_last_name
-   , c_first_name
-   , sum((cs_quantity * cs_list_price)) sales
-   FROM
-     catalog_sales
-   , customer
-   , date_dim
-   WHERE (d_year = 2000)
-      AND (d_moy = 2)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (cs_item_sk IN (
-      SELECT item_sk
-      FROM
-        frequent_ss_items
-   ))
-      AND (cs_bill_customer_sk IN (
-      SELECT c_customer_sk
-      FROM
-        best_ss_customer
-   ))
-      AND (cs_bill_customer_sk = c_customer_sk)
-   GROUP BY c_last_name, c_first_name
-UNION ALL    SELECT
-     c_last_name
-   , c_first_name
-   , sum((ws_quantity * ws_list_price)) sales
-   FROM
-     web_sales
-   , customer
-   , date_dim
-   WHERE (d_year = 2000)
-      AND (d_moy = 2)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (ws_item_sk IN (
-      SELECT item_sk
-      FROM
-        frequent_ss_items
-   ))
-      AND (ws_bill_customer_sk IN (
-      SELECT c_customer_sk
-      FROM
-        best_ss_customer
-   ))
-      AND (ws_bill_customer_sk = c_customer_sk)
-   GROUP BY c_last_name, c_first_name
-) z 
-ORDER BY c_last_name ASC, c_first_name ASC, sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q24_1.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q24_1.sql
deleted file mode 100644
index 03c2c226d0..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q24_1.sql
+++ /dev/null
@@ -1,46 +0,0 @@
-WITH
-  ssales AS (
-   SELECT
-     c_last_name
-   , c_first_name
-   , s_store_name
-   , ca_state
-   , s_state
-   , i_color
-   , i_current_price
-   , i_manager_id
-   , i_units
-   , i_size
-   , sum(ss_net_paid) netpaid
-   FROM
-     store_sales
-   , store_returns
-   , store
-   , item
-   , customer
-   , customer_address
-   WHERE (ss_ticket_number = sr_ticket_number)
-      AND (ss_item_sk = sr_item_sk)
-      AND (ss_customer_sk = c_customer_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (c_birth_country = upper(ca_country))
-      AND (s_zip = ca_zip)
-      AND (s_market_id = 8)
-   GROUP BY c_last_name, c_first_name, s_store_name, ca_state, s_state, i_color, i_current_price, i_manager_id, i_units, i_size
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_last_name
-, c_first_name
-, s_store_name
-, sum(netpaid) paid
-FROM
-  ssales
-WHERE (i_color = 'pale')
-GROUP BY c_last_name, c_first_name, s_store_name
-HAVING (sum(netpaid) > (
-      SELECT (0.05 * avg(netpaid))
-      FROM
-        ssales
-   ))
-ORDER BY c_last_name, c_first_name, s_store_name
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q24_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q24_2.sql
deleted file mode 100644
index 5c1e3b182b..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q24_2.sql
+++ /dev/null
@@ -1,46 +0,0 @@
-WITH
-  ssales AS (
-   SELECT
-     c_last_name
-   , c_first_name
-   , s_store_name
-   , ca_state
-   , s_state
-   , i_color
-   , i_current_price
-   , i_manager_id
-   , i_units
-   , i_size
-   , sum(ss_net_paid) netpaid
-   FROM
-     store_sales
-   , store_returns
-   , store
-   , item
-   , customer
-   , customer_address
-   WHERE (ss_ticket_number = sr_ticket_number)
-      AND (ss_item_sk = sr_item_sk)
-      AND (ss_customer_sk = c_customer_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (c_birth_country = upper(ca_country))
-      AND (s_zip = ca_zip)
-      AND (s_market_id = 8)
-   GROUP BY c_last_name, c_first_name, s_store_name, ca_state, s_state, i_color, i_current_price, i_manager_id, i_units, i_size
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_last_name
-, c_first_name
-, s_store_name
-, sum(netpaid) paid
-FROM
-  ssales
-WHERE (i_color = 'chiffon')
-GROUP BY c_last_name, c_first_name, s_store_name
-HAVING (sum(netpaid) > (
-      SELECT (0.05 * avg(netpaid))
-      FROM
-        ssales
-   ))
-ORDER BY c_last_name, c_first_name, s_store_name
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q25.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q25.sql
deleted file mode 100644
index ffae7246c4..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q25.sql
+++ /dev/null
@@ -1,36 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, i_item_desc
-, s_store_id
-, s_store_name
-, sum(ss_net_profit) store_sales_profit
-, sum(sr_net_loss) store_returns_loss
-, sum(cs_net_profit) catalog_sales_profit
-FROM
-  store_sales
-, store_returns
-, catalog_sales
-, date_dim d1
-, date_dim d2
-, date_dim d3
-, store
-, item
-WHERE (d1.d_moy = 4)
-   AND (d1.d_year = 2001)
-   AND (d1.d_date_sk = ss_sold_date_sk)
-   AND (i_item_sk = ss_item_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (ss_customer_sk = sr_customer_sk)
-   AND (ss_item_sk = sr_item_sk)
-   AND (ss_ticket_number = sr_ticket_number)
-   AND (sr_returned_date_sk = d2.d_date_sk)
-   AND (d2.d_moy BETWEEN 4 AND 10)
-   AND (d2.d_year = 2001)
-   AND (sr_customer_sk = cs_bill_customer_sk)
-   AND (sr_item_sk = cs_item_sk)
-   AND (cs_sold_date_sk = d3.d_date_sk)
-   AND (d3.d_moy BETWEEN 4 AND 10)
-   AND (d3.d_year = 2001)
-GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name
-ORDER BY i_item_id ASC, i_item_desc ASC, s_store_id ASC, s_store_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q26.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q26.sql
deleted file mode 100644
index 13e9ff27a9..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q26.sql
+++ /dev/null
@@ -1,25 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, avg(cs_quantity) agg1
-, avg(cs_list_price) agg2
-, avg(cs_coupon_amt) agg3
-, avg(cs_sales_price) agg4
-FROM
-  catalog_sales
-, customer_demographics
-, date_dim
-, item
-, promotion
-WHERE (cs_sold_date_sk = d_date_sk)
-   AND (cs_item_sk = i_item_sk)
-   AND (cs_bill_cdemo_sk = cd_demo_sk)
-   AND (cs_promo_sk = p_promo_sk)
-   AND (cd_gender = 'M')
-   AND (cd_marital_status = 'S')
-   AND (cd_education_status = 'College')
-   AND ((p_channel_email = 'N')
-      OR (p_channel_event = 'N'))
-   AND (d_year = 2000)
-GROUP BY i_item_id
-ORDER BY i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q27.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q27.sql
deleted file mode 100644
index e6efac3175..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q27.sql
+++ /dev/null
@@ -1,32 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, s_state
-, GROUPING (s_state) g_state
-, avg(ss_quantity) agg1
-, avg(ss_list_price) agg2
-, avg(ss_coupon_amt) agg3
-, avg(ss_sales_price) agg4
-FROM
-  store_sales
-, customer_demographics
-, date_dim
-, store
-, item
-WHERE (ss_sold_date_sk = d_date_sk)
-   AND (ss_item_sk = i_item_sk)
-   AND (ss_store_sk = s_store_sk)
-   AND (ss_cdemo_sk = cd_demo_sk)
-   AND (cd_gender = 'M')
-   AND (cd_marital_status = 'S')
-   AND (cd_education_status = 'College')
-   AND (d_year = 2002)
-   AND (s_state IN (
-     'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'))
-GROUP BY ROLLUP (i_item_id, s_state)
-ORDER BY i_item_id ASC, s_state ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q28.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q28.sql
deleted file mode 100644
index 5eecd64069..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q28.sql
+++ /dev/null
@@ -1,75 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  (
-   SELECT
-     avg(ss_list_price) b1_lp
-   , count(ss_list_price) b1_cnt
-   , count(DISTINCT ss_list_price) b1_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 0 AND 5)
-      AND ((ss_list_price BETWEEN 8 AND (8 + 10))
-         OR (ss_coupon_amt BETWEEN 459 AND (459 + 1000))
-         OR (ss_wholesale_cost BETWEEN 57 AND (57 + 20)))
-)  b1
-, (
-   SELECT
-     avg(ss_list_price) b2_lp
-   , count(ss_list_price) b2_cnt
-   , count(DISTINCT ss_list_price) b2_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 6 AND 10)
-      AND ((ss_list_price BETWEEN 90 AND (90 + 10))
-         OR (ss_coupon_amt BETWEEN 2323 AND (2323 + 1000))
-         OR (ss_wholesale_cost BETWEEN 31 AND (31 + 20)))
-)  b2
-, (
-   SELECT
-     avg(ss_list_price) b3_lp
-   , count(ss_list_price) b3_cnt
-   , count(DISTINCT ss_list_price) b3_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 11 AND 15)
-      AND ((ss_list_price BETWEEN 142 AND (142 + 10))
-         OR (ss_coupon_amt BETWEEN 12214 AND (12214 + 1000))
-         OR (ss_wholesale_cost BETWEEN 79 AND (79 + 20)))
-)  b3
-, (
-   SELECT
-     avg(ss_list_price) b4_lp
-   , count(ss_list_price) b4_cnt
-   , count(DISTINCT ss_list_price) b4_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 16 AND 20)
-      AND ((ss_list_price BETWEEN 135 AND (135 + 10))
-         OR (ss_coupon_amt BETWEEN 6071 AND (6071 + 1000))
-         OR (ss_wholesale_cost BETWEEN 38 AND (38 + 20)))
-)  b4
-, (
-   SELECT
-     avg(ss_list_price) b5_lp
-   , count(ss_list_price) b5_cnt
-   , count(DISTINCT ss_list_price) b5_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 21 AND 25)
-      AND ((ss_list_price BETWEEN 122 AND (122 + 10))
-         OR (ss_coupon_amt BETWEEN 836 AND (836 + 1000))
-         OR (ss_wholesale_cost BETWEEN 17 AND (17 + 20)))
-)  b5
-, (
-   SELECT
-     avg(ss_list_price) b6_lp
-   , count(ss_list_price) b6_cnt
-   , count(DISTINCT ss_list_price) b6_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 26 AND 30)
-      AND ((ss_list_price BETWEEN 154 AND (154 + 10))
-         OR (ss_coupon_amt BETWEEN 7326 AND (7326 + 1000))
-         OR (ss_wholesale_cost BETWEEN 7 AND (7 + 20)))
-)  b6
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q29.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q29.sql
deleted file mode 100644
index 6134304058..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q29.sql
+++ /dev/null
@@ -1,35 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, i_item_desc
-, s_store_id
-, s_store_name
-, sum(ss_quantity) store_sales_quantity
-, sum(sr_return_quantity) store_returns_quantity
-, sum(cs_quantity) catalog_sales_quantity
-FROM
-  store_sales
-, store_returns
-, catalog_sales
-, date_dim d1
-, date_dim d2
-, date_dim d3
-, store
-, item
-WHERE (d1.d_moy = 9)
-   AND (d1.d_year = 1999)
-   AND (d1.d_date_sk = ss_sold_date_sk)
-   AND (i_item_sk = ss_item_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (ss_customer_sk = sr_customer_sk)
-   AND (ss_item_sk = sr_item_sk)
-   AND (ss_ticket_number = sr_ticket_number)
-   AND (sr_returned_date_sk = d2.d_date_sk)
-   AND (d2.d_moy BETWEEN 9 AND (9 + 3))
-   AND (d2.d_year = 1999)
-   AND (sr_customer_sk = cs_bill_customer_sk)
-   AND (sr_item_sk = cs_item_sk)
-   AND (cs_sold_date_sk = d3.d_date_sk)
-   AND (d3.d_year IN (1999, (1999 + 1), (1999 + 2)))
-GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name
-ORDER BY i_item_id ASC, i_item_desc ASC, s_store_id ASC, s_store_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q30.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q30.sql
deleted file mode 100644
index 03780ec12b..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q30.sql
+++ /dev/null
@@ -1,49 +0,0 @@
--- Expect cell is: C??TE D'IVOIRE
--- But real is: C?TE D'IVOIRE
--- compare result fail when encounter latin character Ô
-/*
-WITH
-  customer_total_return AS (
-   SELECT
-     wr_returning_customer_sk ctr_customer_sk
-   , ca_state ctr_state
-   , sum(wr_return_amt) ctr_total_return
-   FROM
-     web_returns
-   , date_dim
-   , customer_address
-   WHERE (wr_returned_date_sk = d_date_sk)
-      AND (d_year = 2002)
-      AND (wr_returning_addr_sk = ca_address_sk)
-   GROUP BY wr_returning_customer_sk, ca_state
-)
-SELECT
-  c_customer_id
-, c_salutation
-, c_first_name
-, c_last_name
-, c_preferred_cust_flag
-, c_birth_day
-, c_birth_month
-, c_birth_year
-, c_birth_country
-, c_login
-, c_email_address
-, c_last_review_date_sk
-, ctr_total_return
-FROM
-  customer_total_return ctr1
-, customer_address
-, customer
-WHERE (ctr1.ctr_total_return > (
-      SELECT (avg(ctr_total_return) * 1.2)
-      FROM
-        customer_total_return ctr2
-      WHERE (ctr1.ctr_state = ctr2.ctr_state)
-   ))
-   AND (ca_address_sk = c_current_addr_sk)
-   AND (ca_state = 'GA')
-   AND (ctr1.ctr_customer_sk = c_customer_sk)
-ORDER BY c_customer_id ASC, c_salutation ASC, c_first_name ASC, c_last_name ASC, c_preferred_cust_flag ASC, c_birth_day ASC, c_birth_month ASC, c_birth_year ASC, c_birth_country ASC, c_login ASC, c_email_address ASC, c_last_review_date_sk ASC, ctr_total_return ASC
-LIMIT 100
-*/
\ No newline at end of file
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q31.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q31.sql
deleted file mode 100644
index cce695917a..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q31.sql
+++ /dev/null
@@ -1,63 +0,0 @@
-WITH
-  ss AS (
-   SELECT
-     ca_county
-   , d_qoy
-   , d_year
-   , sum(ss_ext_sales_price) store_sales
-   FROM
-     store_sales
-   , date_dim
-   , customer_address
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (ss_addr_sk = ca_address_sk)
-   GROUP BY ca_county, d_qoy, d_year
-)
-, ws AS (
-   SELECT
-     ca_county
-   , d_qoy
-   , d_year
-   , sum(ws_ext_sales_price) web_sales
-   FROM
-     web_sales
-   , date_dim
-   , customer_address
-   WHERE (ws_sold_date_sk = d_date_sk)
-      AND (ws_bill_addr_sk = ca_address_sk)
-   GROUP BY ca_county, d_qoy, d_year
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  ss1.ca_county
-, ss1.d_year
-, (ws2.web_sales / ws1.web_sales) web_q1_q2_increase
-, (ss2.store_sales / ss1.store_sales) store_q1_q2_increase
-, (ws3.web_sales / ws2.web_sales) web_q2_q3_increase
-, (ss3.store_sales / ss2.store_sales) store_q2_q3_increase
-FROM
-  ss ss1
-, ss ss2
-, ss ss3
-, ws ws1
-, ws ws2
-, ws ws3
-WHERE (ss1.d_qoy = 1)
-   AND (ss1.d_year = 2000)
-   AND (ss1.ca_county = ss2.ca_county)
-   AND (ss2.d_qoy = 2)
-   AND (ss2.d_year = 2000)
-   AND (ss2.ca_county = ss3.ca_county)
-   AND (ss3.d_qoy = 3)
-   AND (ss3.d_year = 2000)
-   AND (ss1.ca_county = ws1.ca_county)
-   AND (ws1.d_qoy = 1)
-   AND (ws1.d_year = 2000)
-   AND (ws1.ca_county = ws2.ca_county)
-   AND (ws2.d_qoy = 2)
-   AND (ws2.d_year = 2000)
-   AND (ws1.ca_county = ws3.ca_county)
-   AND (ws3.d_qoy = 3)
-   AND (ws3.d_year = 2000)
-   AND ((CASE WHEN (ws1.web_sales > 0) THEN (ws2.web_sales / ws1.web_sales) ELSE null END) > (CASE WHEN (ss1.store_sales > 0) THEN (ss2.store_sales / ss1.store_sales) ELSE null END))
-   AND ((CASE WHEN (ws2.web_sales > 0) THEN (ws3.web_sales / ws2.web_sales) ELSE null END) > (CASE WHEN (ss2.store_sales > 0) THEN (ss3.store_sales / ss2.store_sales) ELSE null END))
-ORDER BY ss1.ca_county ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q32.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q32.sql
deleted file mode 100644
index 200a0ff320..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q32.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ sum(cs_ext_discount_amt) 'excess discount amount'
-FROM
-  catalog_sales
-, item
-, date_dim
-WHERE (i_manufact_id = 977)
-   AND (i_item_sk = cs_item_sk)
-   AND (d_date BETWEEN CAST('2000-01-27' AS DATE) AND (CAST('2000-01-27' AS DATE) + INTERVAL  '90' DAY))
-   AND (d_date_sk = cs_sold_date_sk)
-   AND (cs_ext_discount_amt > (
-      SELECT (1.3 * avg(cs_ext_discount_amt))
-      FROM
-        catalog_sales
-      , date_dim
-      WHERE (cs_item_sk = i_item_sk)
-         AND (d_date BETWEEN CAST('2000-01-27' AS DATE) AND (CAST('2000-01-27' AS DATE) + INTERVAL  '90' DAY))
-         AND (d_date_sk = cs_sold_date_sk)
-   ))
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q33.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q33.sql
deleted file mode 100644
index 14deee0997..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q33.sql
+++ /dev/null
@@ -1,88 +0,0 @@
-WITH
-  ss AS (
-   SELECT
-     i_manufact_id
-   , sum(ss_ext_sales_price) total_sales
-   FROM
-     store_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_manufact_id IN (
-      SELECT i_manufact_id
-      FROM
-        item
-      WHERE (i_category IN ('Electronics'))
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 5)
-      AND (ss_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_manufact_id
-)
-, cs AS (
-   SELECT
-     i_manufact_id
-   , sum(cs_ext_sales_price) total_sales
-   FROM
-     catalog_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_manufact_id IN (
-      SELECT i_manufact_id
-      FROM
-        item
-      WHERE (i_category IN ('Electronics'))
-   ))
-      AND (cs_item_sk = i_item_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 5)
-      AND (cs_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_manufact_id
-)
-, ws AS (
-   SELECT
-     i_manufact_id
-   , sum(ws_ext_sales_price) total_sales
-   FROM
-     web_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_manufact_id IN (
-      SELECT i_manufact_id
-      FROM
-        item
-      WHERE (i_category IN ('Electronics'))
-   ))
-      AND (ws_item_sk = i_item_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 5)
-      AND (ws_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_manufact_id
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_manufact_id
-, sum(total_sales) total_sales
-FROM
-  (
-   SELECT *
-   FROM
-     ss
-UNION ALL    SELECT *
-   FROM
-     cs
-UNION ALL    SELECT *
-   FROM
-     ws
-)  tmp1
-GROUP BY i_manufact_id
-ORDER BY total_sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q34.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q34.sql
deleted file mode 100644
index d8e4631ad8..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q34.sql
+++ /dev/null
@@ -1,35 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_last_name
-, c_first_name
-, c_salutation
-, c_preferred_cust_flag
-, ss_ticket_number
-, cnt
-FROM
-  (
-   SELECT
-     ss_ticket_number
-   , ss_customer_sk
-   , count(*) cnt
-   FROM
-     store_sales
-   , date_dim
-   , store
-   , household_demographics
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_store_sk = store.s_store_sk)
-      AND (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND ((date_dim.d_dom BETWEEN 1 AND 3)
-         OR (date_dim.d_dom BETWEEN 25 AND 28))
-      AND ((household_demographics.hd_buy_potential = '>10000')
-         OR (household_demographics.hd_buy_potential = 'Unknown'))
-      AND (household_demographics.hd_vehicle_count > 0)
-      AND ((CASE WHEN (household_demographics.hd_vehicle_count > 0) THEN (household_demographics.hd_dep_count / household_demographics.hd_vehicle_count) ELSE null END) > 1.2)
-      AND (date_dim.d_year IN (1999   , (1999 + 1)   , (1999 + 2)))
-      AND (store.s_county IN ('Williamson County'   , 'Williamson County'   , 'Williamson County'   , 'Williamson County'   , 'Williamson County'   , 'Williamson County'   , 'Williamson County'   , 'Williamson County'))
-   GROUP BY ss_ticket_number, ss_customer_sk
-)  dn
-, customer
-WHERE (ss_customer_sk = c_customer_sk)
-   AND (cnt BETWEEN 15 AND 20)
-ORDER BY c_last_name ASC, c_first_name ASC, c_salutation ASC, c_preferred_cust_flag DESC, ss_ticket_number ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q35.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q35.sql
deleted file mode 100644
index 1466c41c22..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q35.sql
+++ /dev/null
@@ -1,60 +0,0 @@
-/*
-SELECT
-  ca_state
-, cd_gender
-, cd_marital_status
-, cd_dep_count
-, count(*) cnt1
-, min(cd_dep_count)
-, max(cd_dep_count)
-, avg(cd_dep_count)
-, cd_dep_employed_count
-, count(*) cnt2
-, min(cd_dep_employed_count)
-, max(cd_dep_employed_count)
-, avg(cd_dep_employed_count)
-, cd_dep_college_count
-, count(*) cnt3
-, min(cd_dep_college_count)
-, max(cd_dep_college_count)
-, avg(cd_dep_college_count)
-FROM
-  customer c
-, customer_address ca
-, customer_demographics
-WHERE (c.c_current_addr_sk = ca.ca_address_sk)
-   AND (cd_demo_sk = c.c_current_cdemo_sk)
-   AND (EXISTS (
-   SELECT *
-   FROM
-     store_sales
-   , date_dim
-   WHERE (c.c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 2002)
-      AND (d_qoy < 4)
-))
-   AND ((EXISTS (
-      SELECT *
-      FROM
-        web_sales
-      , date_dim
-      WHERE (c.c_customer_sk = ws_bill_customer_sk)
-         AND (ws_sold_date_sk = d_date_sk)
-         AND (d_year = 2002)
-         AND (d_qoy < 4)
-   ))
-      OR (EXISTS (
-      SELECT *
-      FROM
-        catalog_sales
-      , date_dim
-      WHERE (c.c_customer_sk = cs_ship_customer_sk)
-         AND (cs_sold_date_sk = d_date_sk)
-         AND (d_year = 2002)
-         AND (d_qoy < 4)
-   )))
-GROUP BY ca_state, cd_gender, cd_marital_status, cd_dep_count, cd_dep_employed_count, cd_dep_college_count
-ORDER BY ca_state ASC, cd_gender ASC, cd_marital_status ASC, cd_dep_count ASC, cd_dep_employed_count ASC, cd_dep_college_count ASC
-LIMIT 100
-*/
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q36.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q36.sql
deleted file mode 100644
index 10a26ae9d3..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q36.sql
+++ /dev/null
@@ -1,27 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  (sum(ss_net_profit) / sum(ss_ext_sales_price)) gross_margin
-, i_category
-, i_class
-, (GROUPING (i_category) + GROUPING (i_class)) lochierarchy
-, rank() OVER (PARTITION BY (GROUPING (i_category) + GROUPING (i_class)), (CASE WHEN (GROUPING (i_class) = 0) THEN i_category END) ORDER BY (sum(ss_net_profit) / sum(ss_ext_sales_price)) ASC) rank_within_parent
-FROM
-  store_sales
-, date_dim d1
-, item
-, store
-WHERE (d1.d_year = 2001)
-   AND (d1.d_date_sk = ss_sold_date_sk)
-   AND (i_item_sk = ss_item_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (s_state IN (
-     'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'))
-GROUP BY ROLLUP (i_category, i_class)
-ORDER BY lochierarchy DESC, (CASE WHEN (lochierarchy = 0) THEN i_category END) ASC, rank_within_parent ASC, i_category, i_class
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q37.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q37.sql
deleted file mode 100644
index 77e8736082..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q37.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, i_item_desc
-, i_current_price
-FROM
-  item
-, inventory
-, date_dim
-, catalog_sales
-WHERE (i_current_price BETWEEN 68 AND (68 + 30))
-   AND (inv_item_sk = i_item_sk)
-   AND (d_date_sk = inv_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN CAST('2000-02-01' AS DATE) AND (CAST('2000-02-01' AS DATE) + INTERVAL  '60' DAY))
-   AND (i_manufact_id IN (677, 940, 694, 808))
-   AND (inv_quantity_on_hand BETWEEN 100 AND 500)
-   AND (cs_item_sk = i_item_sk)
-GROUP BY i_item_id, i_item_desc, i_current_price
-ORDER BY i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q38.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q38.sql
deleted file mode 100644
index 3d7ab41ea8..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q38.sql
+++ /dev/null
@@ -1,38 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ count(*)
-FROM
-  (
-   SELECT DISTINCT
-     c_last_name
-   , c_first_name
-   , d_date
-   FROM
-     store_sales
-   , date_dim
-   , customer
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_customer_sk = customer.c_customer_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-INTERSECT    SELECT DISTINCT
-     c_last_name
-   , c_first_name
-   , d_date
-   FROM
-     catalog_sales
-   , date_dim
-   , customer
-   WHERE (catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)
-      AND (catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-INTERSECT    SELECT DISTINCT
-     c_last_name
-   , c_first_name
-   , d_date
-   FROM
-     web_sales
-   , date_dim
-   , customer
-   WHERE (web_sales.ws_sold_date_sk = date_dim.d_date_sk)
-      AND (web_sales.ws_bill_customer_sk = customer.c_customer_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-)  hot_cust
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q39_1.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q39_1.sql
deleted file mode 100644
index 65dabcd0ae..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q39_1.sql
+++ /dev/null
@@ -1,51 +0,0 @@
-WITH
-  inv AS (
-   SELECT
-     w_warehouse_name
-   , w_warehouse_sk
-   , i_item_sk
-   , d_moy
-   , stdev
-   , mean
-   , (CASE mean WHEN 0 THEN null ELSE (stdev / mean) END) cov
-   FROM
-     (
-      SELECT
-        w_warehouse_name
-      , w_warehouse_sk
-      , i_item_sk
-      , d_moy
-      , stddev_samp(inv_quantity_on_hand) stdev
-      , avg(inv_quantity_on_hand) mean
-      FROM
-        inventory
-      , item
-      , warehouse
-      , date_dim
-      WHERE (inv_item_sk = i_item_sk)
-         AND (inv_warehouse_sk = w_warehouse_sk)
-         AND (inv_date_sk = d_date_sk)
-         AND (d_year = 2001)
-      GROUP BY w_warehouse_name, w_warehouse_sk, i_item_sk, d_moy
-   )  foo
-   WHERE ((CASE mean WHEN 0 THEN 0 ELSE (stdev / mean) END) > 1)
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  inv1.w_warehouse_sk
-, inv1.i_item_sk
-, inv1.d_moy
-, inv1.mean
-, inv1.cov
-, inv2.w_warehouse_sk
-, inv2.i_item_sk
-, inv2.d_moy
-, inv2.mean
-, inv2.cov
-FROM
-  inv inv1
-, inv inv2
-WHERE (inv1.i_item_sk = inv2.i_item_sk)
-   AND (inv1.w_warehouse_sk = inv2.w_warehouse_sk)
-   AND (inv1.d_moy = 1)
-   AND (inv2.d_moy = (1 + 1))
-ORDER BY inv1.w_warehouse_sk ASC, inv1.i_item_sk ASC, inv1.d_moy ASC, inv1.mean ASC, inv1.cov ASC, inv2.d_moy ASC, inv2.mean ASC, inv2.cov ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q39_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q39_2.sql
deleted file mode 100644
index 2adb4676e9..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q39_2.sql
+++ /dev/null
@@ -1,52 +0,0 @@
-WITH
-  inv AS (
-   SELECT
-     w_warehouse_name
-   , w_warehouse_sk
-   , i_item_sk
-   , d_moy
-   , stdev
-   , mean
-   , (CASE mean WHEN 0 THEN null ELSE (stdev / mean) END) cov
-   FROM
-     (
-      SELECT
-        w_warehouse_name
-      , w_warehouse_sk
-      , i_item_sk
-      , d_moy
-      , stddev_samp(inv_quantity_on_hand) stdev
-      , avg(inv_quantity_on_hand) mean
-      FROM
-        inventory
-      , item
-      , warehouse
-      , date_dim
-      WHERE (inv_item_sk = i_item_sk)
-         AND (inv_warehouse_sk = w_warehouse_sk)
-         AND (inv_date_sk = d_date_sk)
-         AND (d_year = 2001)
-      GROUP BY w_warehouse_name, w_warehouse_sk, i_item_sk, d_moy
-   )  foo
-   WHERE ((CASE mean WHEN 0 THEN 0 ELSE (stdev / mean) END) > 1)
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  inv1.w_warehouse_sk
-, inv1.i_item_sk
-, inv1.d_moy
-, inv1.mean
-, inv1.cov
-, inv2.w_warehouse_sk
-, inv2.i_item_sk
-, inv2.d_moy
-, inv2.mean
-, inv2.cov
-FROM
-  inv inv1
-, inv inv2
-WHERE (inv1.i_item_sk = inv2.i_item_sk)
-   AND (inv1.w_warehouse_sk = inv2.w_warehouse_sk)
-   AND (inv1.d_moy = 1)
-   AND (inv2.d_moy = (1 + 1))
-   AND (inv1.cov > 1.5)
-ORDER BY inv1.w_warehouse_sk ASC, inv1.i_item_sk ASC, inv1.d_moy ASC, inv1.mean ASC, inv1.cov ASC, inv2.d_moy ASC, inv2.mean ASC, inv2.cov ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q40.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q40.sql
deleted file mode 100644
index b0ea3a22b6..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q40.sql
+++ /dev/null
@@ -1,20 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  w_state
-, i_item_id
-, sum((CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN (cs_sales_price - COALESCE(cr_refunded_cash, 0)) ELSE 0 END)) sales_before
-, sum((CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN (cs_sales_price - COALESCE(cr_refunded_cash, 0)) ELSE 0 END)) sales_after
-FROM
-  catalog_sales
-LEFT JOIN catalog_returns ON (cs_order_number = cr_order_number)
-   AND (cs_item_sk = cr_item_sk)
-, warehouse
-, item
-, date_dim
-WHERE (i_current_price BETWEEN 0.99 AND 1.49)
-   AND (i_item_sk = cs_item_sk)
-   AND (cs_warehouse_sk = w_warehouse_sk)
-   AND (cs_sold_date_sk = d_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL  '30' DAY) AND (CAST('2000-03-11' AS DATE) + INTERVAL  '30' DAY))
-GROUP BY w_state, i_item_id
-ORDER BY w_state ASC, i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q41.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q41.sql
deleted file mode 100644
index c8d3e6fbf8..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q41.sql
+++ /dev/null
@@ -1,69 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ DISTINCT i_product_name
-FROM
-  item i1
-WHERE (i_manufact_id BETWEEN 738 AND (738 + 40))
-   AND ((
-      SELECT count(*) item_cnt
-      FROM
-        item
-      WHERE ((i_manufact = i1.i_manufact)
-            AND (((i_category = 'Women')
-                  AND ((i_color = 'powder')
-                     OR (i_color = 'khaki'))
-                  AND ((i_units = 'Ounce')
-                     OR (i_units = 'Oz'))
-                  AND ((i_size = 'medium')
-                     OR (i_size = 'extra large')))
-               OR ((i_category = 'Women')
-                  AND ((i_color = 'brown')
-                     OR (i_color = 'honeydew'))
-                  AND ((i_units = 'Bunch')
-                     OR (i_units = 'Ton'))
-                  AND ((i_size = 'N/A')
-                     OR (i_size = 'small')))
-               OR ((i_category = 'Men')
-                  AND ((i_color = 'floral')
-                     OR (i_color = 'deep'))
-                  AND ((i_units = 'N/A')
-                     OR (i_units = 'Dozen'))
-                  AND ((i_size = 'petite')
-                     OR (i_size = 'large')))
-               OR ((i_category = 'Men')
-                  AND ((i_color = 'light')
-                     OR (i_color = 'cornflower'))
-                  AND ((i_units = 'Box')
-                     OR (i_units = 'Pound'))
-                  AND ((i_size = 'medium')
-                     OR (i_size = 'extra large')))))
-         OR ((i_manufact = i1.i_manufact)
-            AND (((i_category = 'Women')
-                  AND ((i_color = 'midnight')
-                     OR (i_color = 'snow'))
-                  AND ((i_units = 'Pallet')
-                     OR (i_units = 'Gross'))
-                  AND ((i_size = 'medium')
-                     OR (i_size = 'extra large')))
-               OR ((i_category = 'Women')
-                  AND ((i_color = 'cyan')
-                     OR (i_color = 'papaya'))
-                  AND ((i_units = 'Cup')
-                     OR (i_units = 'Dram'))
-                  AND ((i_size = 'N/A')
-                     OR (i_size = 'small')))
-               OR ((i_category = 'Men')
-                  AND ((i_color = 'orange')
-                     OR (i_color = 'frosted'))
-                  AND ((i_units = 'Each')
-                     OR (i_units = 'Tbl'))
-                  AND ((i_size = 'petite')
-                     OR (i_size = 'large')))
-               OR ((i_category = 'Men')
-                  AND ((i_color = 'forest')
-                     OR (i_color = 'ghost'))
-                  AND ((i_units = 'Lb')
-                     OR (i_units = 'Bundle'))
-                  AND ((i_size = 'medium')
-                     OR (i_size = 'extra large')))))
-   ) > 0)
-ORDER BY i_product_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q42.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q42.sql
deleted file mode 100644
index 0376725abc..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q42.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  dt.d_year
-, item.i_category_id
-, item.i_category
-, sum(ss_ext_sales_price)
-FROM
-  date_dim dt
-, store_sales
-, item
-WHERE (dt.d_date_sk = store_sales.ss_sold_date_sk)
-   AND (store_sales.ss_item_sk = item.i_item_sk)
-   AND (item.i_manager_id = 1)
-   AND (dt.d_moy = 11)
-   AND (dt.d_year = 2000)
-GROUP BY dt.d_year, item.i_category_id, item.i_category
-ORDER BY sum(ss_ext_sales_price) DESC, dt.d_year ASC, item.i_category_id ASC, item.i_category ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q43.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q43.sql
deleted file mode 100644
index 4fb67212ba..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q43.sql
+++ /dev/null
@@ -1,21 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_store_name
-, s_store_id
-, sum((CASE WHEN (d_day_name = 'Sunday') THEN ss_sales_price ELSE null END)) sun_sales
-, sum((CASE WHEN (d_day_name = 'Monday') THEN ss_sales_price ELSE null END)) mon_sales
-, sum((CASE WHEN (d_day_name = 'Tuesday') THEN ss_sales_price ELSE null END)) tue_sales
-, sum((CASE WHEN (d_day_name = 'Wednesday') THEN ss_sales_price ELSE null END)) wed_sales
-, sum((CASE WHEN (d_day_name = 'Thursday') THEN ss_sales_price ELSE null END)) thu_sales
-, sum((CASE WHEN (d_day_name = 'Friday') THEN ss_sales_price ELSE null END)) fri_sales
-, sum((CASE WHEN (d_day_name = 'Saturday') THEN ss_sales_price ELSE null END)) sat_sales
-FROM
-  date_dim
-, store_sales
-, store
-WHERE (d_date_sk = ss_sold_date_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (s_gmt_offset = -5)
-   AND (d_year = 2000)
-GROUP BY s_store_name, s_store_id
-ORDER BY s_store_name ASC, s_store_id ASC, sun_sales ASC, mon_sales ASC, tue_sales ASC, wed_sales ASC, thu_sales ASC, fri_sales ASC, sat_sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q44.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q44.sql
deleted file mode 100644
index c4be8bd19a..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q44.sql
+++ /dev/null
@@ -1,68 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  asceding.rnk
-, i1.i_product_name best_performing
-, i2.i_product_name worst_performing
-FROM
-  (
-   SELECT *
-   FROM
-     (
-      SELECT
-        item_sk
-      , rank() OVER (ORDER BY rank_col ASC) rnk
-      FROM
-        (
-         SELECT
-           ss_item_sk item_sk
-         , avg(ss_net_profit) rank_col
-         FROM
-           store_sales ss1
-         WHERE (ss_store_sk = 4)
-         GROUP BY ss_item_sk
-         HAVING (avg(ss_net_profit) > (0.9 * (
-                  SELECT avg(ss_net_profit) rank_col
-                  FROM
-                    store_sales
-                  WHERE (ss_store_sk = 4)
-                     AND (ss_addr_sk IS NULL)
-                  GROUP BY ss_store_sk
-               )))
-      )  v1
-   )  v11
-   WHERE (rnk < 11)
-)  asceding
-, (
-   SELECT *
-   FROM
-     (
-      SELECT
-        item_sk
-      , rank() OVER (ORDER BY rank_col DESC) rnk
-      FROM
-        (
-         SELECT
-           ss_item_sk item_sk
-         , avg(ss_net_profit) rank_col
-         FROM
-           store_sales ss1
-         WHERE (ss_store_sk = 4)
-         GROUP BY ss_item_sk
-         HAVING (avg(ss_net_profit) > (CAST('0.9' AS DECIMAL) * (
-                  SELECT avg(ss_net_profit) rank_col
-                  FROM
-                    store_sales
-                  WHERE (ss_store_sk = 4)
-                     AND (ss_addr_sk IS NULL)
-                  GROUP BY ss_store_sk
-               )))
-      )  v2
-   )  v21
-   WHERE (rnk < 11)
-)  descending
-, item i1
-, item i2
-WHERE (asceding.rnk = descending.rnk)
-   AND (i1.i_item_sk = asceding.item_sk)
-   AND (i2.i_item_sk = descending.item_sk)
-ORDER BY asceding.rnk ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q45.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q45.sql
deleted file mode 100644
index fe5bf82ef8..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q45.sql
+++ /dev/null
@@ -1,28 +0,0 @@
-/*
-SELECT
-  ca_zip
-, ca_city
-, sum(ws_sales_price)
-FROM
-  web_sales
-, customer
-, customer_address
-, date_dim
-, item
-WHERE (ws_bill_customer_sk = c_customer_sk)
-   AND (c_current_addr_sk = ca_address_sk)
-   AND (ws_item_sk = i_item_sk)
-   AND ((substr(ca_zip, 1, 5) IN ('85669'   , '86197'   , '88274'   , '83405'   , '86475'   , '85392'   , '85460'   , '80348'   , '81792'))
-      OR (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_item_sk IN (2      , 3      , 5      , 7      , 11      , 13      , 17      , 19      , 23      , 29))
-   )))
-   AND (ws_sold_date_sk = d_date_sk)
-   AND (d_qoy = 2)
-   AND (d_year = 2001)
-GROUP BY ca_zip, ca_city
-ORDER BY ca_zip ASC, ca_city ASC
-LIMIT 100
-*/
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q46.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q46.sql
deleted file mode 100644
index e18b69a140..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q46.sql
+++ /dev/null
@@ -1,40 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_last_name
-, c_first_name
-, ca_city
-, bought_city
-, ss_ticket_number
-, amt
-, profit
-FROM
-  (
-   SELECT
-     ss_ticket_number
-   , ss_customer_sk
-   , ca_city bought_city
-   , sum(ss_coupon_amt) amt
-   , sum(ss_net_profit) profit
-   FROM
-     store_sales
-   , date_dim
-   , store
-   , household_demographics
-   , customer_address
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_store_sk = store.s_store_sk)
-      AND (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (store_sales.ss_addr_sk = customer_address.ca_address_sk)
-      AND ((household_demographics.hd_dep_count = 4)
-         OR (household_demographics.hd_vehicle_count = 3))
-      AND (date_dim.d_dow IN (6   , 0))
-      AND (date_dim.d_year IN (1999   , (1999 + 1)   , (1999 + 2)))
-      AND (store.s_city IN ('Fairview'   , 'Midway'   , 'Fairview'   , 'Fairview'   , 'Fairview'))
-   GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city
-)  dn
-, customer
-, customer_address current_addr
-WHERE (ss_customer_sk = c_customer_sk)
-   AND (customer.c_current_addr_sk = current_addr.ca_address_sk)
-   AND (current_addr.ca_city <> bought_city)
-ORDER BY c_last_name ASC, c_first_name ASC, ca_city ASC, bought_city ASC, ss_ticket_number ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q47.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q47.sql
deleted file mode 100644
index 95df467d6a..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q47.sql
+++ /dev/null
@@ -1,62 +0,0 @@
-WITH
-  v1 AS (
-   SELECT
-     i_category
-   , i_brand
-   , s_store_name
-   , s_company_name
-   , d_year
-   , d_moy
-   , sum(ss_sales_price) sum_sales
-   , avg(sum(ss_sales_price)) OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name, d_year) avg_monthly_sales
-   , rank() OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name ORDER BY d_year ASC, d_moy ASC) rn
-   FROM
-     item
-   , store_sales
-   , date_dim
-   , store
-   WHERE (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND ((d_year = 1999)
-         OR ((d_year = (1999 - 1))
-            AND (d_moy = 12))
-         OR ((d_year = (1999 + 1))
-            AND (d_moy = 1)))
-   GROUP BY i_category, i_brand, s_store_name, s_company_name, d_year, d_moy
-)
-, v2 AS (
-   SELECT
-     v1.i_category
-   , v1.i_brand
-   , v1.s_store_name
-   , v1.s_company_name
-   , v1.d_year
-   , v1.d_moy
-   , v1.avg_monthly_sales
-   , v1.sum_sales
-   , v1_lag.sum_sales psum
-   , v1_lead.sum_sales nsum
-   FROM
-     v1
-   , v1 v1_lag
-   , v1 v1_lead
-   WHERE (v1.i_category = v1_lag.i_category)
-      AND (v1.i_category = v1_lead.i_category)
-      AND (v1.i_brand = v1_lag.i_brand)
-      AND (v1.i_brand = v1_lead.i_brand)
-      AND (v1.s_store_name = v1_lag.s_store_name)
-      AND (v1.s_store_name = v1_lead.s_store_name)
-      AND (v1.s_company_name = v1_lag.s_company_name)
-      AND (v1.s_company_name = v1_lead.s_company_name)
-      AND (v1.rn = (v1_lag.rn + 1))
-      AND (v1.rn = (v1_lead.rn - 1))
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  v2
-WHERE (d_year = 1999)
-   AND (avg_monthly_sales > 0)
-   AND ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1)
-ORDER BY (sum_sales - avg_monthly_sales) ASC, 3 ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q48.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q48.sql
deleted file mode 100644
index ae4ad6e808..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q48.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ sum(ss_quantity)
-FROM
-  store_sales
-, store
-, customer_demographics
-, customer_address
-, date_dim
-WHERE (s_store_sk = ss_store_sk)
-   AND (ss_sold_date_sk = d_date_sk)
-   AND (d_year = 2000)
-   AND (((cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'M')
-         AND (cd_education_status = '4 yr Degree')
-         AND (ss_sales_price BETWEEN 100.00 AND 150.00))
-      OR ((cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'D')
-         AND (cd_education_status = '2 yr Degree')
-         AND (ss_sales_price BETWEEN 50.00 AND 100.00))
-      OR ((cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'S')
-         AND (cd_education_status = 'College')
-         AND (ss_sales_price BETWEEN 150.00 AND 200.00)))
-   AND (((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('CO'      , 'OH'      , 'TX'))
-         AND (ss_net_profit BETWEEN 0 AND 2000))
-      OR ((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('OR'      , 'MN'      , 'KY'))
-         AND (ss_net_profit BETWEEN 150 AND 3000))
-      OR ((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('VA'      , 'CA'      , 'MS'))
-         AND (ss_net_profit BETWEEN 50 AND 25000)))
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q49.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q49.sql
deleted file mode 100644
index dbff634bfa..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q49.sql
+++ /dev/null
@@ -1,118 +0,0 @@
--- 目前union后跟得order没有效果，需要在外面包一层select后再order
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ channel, item, return_ratio, return_rank, currency_rank
-FROM
-(SELECT
-  'web' channel
-, web.item
-, web.return_ratio
-, web.return_rank
-, web.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        ws.ws_item_sk item
-      , (CAST(sum(COALESCE(wr.wr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        web_sales ws
-      LEFT JOIN web_returns wr ON (ws.ws_order_number = wr.wr_order_number)
-         AND (ws.ws_item_sk = wr.wr_item_sk)
-      , date_dim
-      WHERE (wr.wr_return_amt > 10000)
-         AND (ws.ws_net_profit > 1)
-         AND (ws.ws_net_paid > 0)
-         AND (ws.ws_quantity > 0)
-         AND (ws_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY ws.ws_item_sk
-   )  in_web
-)  web
-WHERE (web.return_rank <= 10)
-   OR (web.currency_rank <= 10)
-UNION SELECT
-  'catalog' channel
-, catalog.item
-, catalog.return_ratio
-, catalog.return_rank
-, catalog.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        cs.cs_item_sk item
-      , (CAST(sum(COALESCE(cr.cr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        catalog_sales cs
-      LEFT JOIN catalog_returns cr ON (cs.cs_order_number = cr.cr_order_number)
-         AND (cs.cs_item_sk = cr.cr_item_sk)
-      , date_dim
-      WHERE (cr.cr_return_amount > 10000)
-         AND (cs.cs_net_profit > 1)
-         AND (cs.cs_net_paid > 0)
-         AND (cs.cs_quantity > 0)
-         AND (cs_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY cs.cs_item_sk
-   )  in_cat
-) catalog 
-WHERE (catalog.return_rank <= 10)
-   OR (catalog.currency_rank <= 10)
-UNION SELECT
-  'store' channel
-, store.item
-, store.return_ratio
-, store.return_rank
-, store.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        sts.ss_item_sk item
-      , (CAST(sum(COALESCE(sr.sr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        store_sales sts
-      LEFT JOIN store_returns sr ON (sts.ss_ticket_number = sr.sr_ticket_number)
-         AND (sts.ss_item_sk = sr.sr_item_sk)
-      , date_dim
-      WHERE (sr.sr_return_amt > 10000)
-         AND (sts.ss_net_profit > 1)
-         AND (sts.ss_net_paid > 0)
-         AND (sts.ss_quantity > 0)
-         AND (ss_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY sts.ss_item_sk
-   )  in_store
-)  store
-WHERE (store.return_rank <= 10)
-   OR (store.currency_rank <= 10)
-) r
-ORDER BY 1 ASC, 4 ASC, 5 ASC, 2 ASC
-LIMIT 100;
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q49_rewrite.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q49_rewrite.sql
deleted file mode 100644
index edd644dffc..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q49_rewrite.sql
+++ /dev/null
@@ -1,113 +0,0 @@
-(SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  'web' channel
-, web.item
-, web.return_ratio
-, web.return_rank
-, web.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        ws.ws_item_sk item
-      , (CAST(sum(COALESCE(wr.wr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        web_sales ws
-      LEFT JOIN web_returns wr ON (ws.ws_order_number = wr.wr_order_number)
-         AND (ws.ws_item_sk = wr.wr_item_sk)
-      , date_dim
-      WHERE (wr.wr_return_amt > 10000)
-         AND (ws.ws_net_profit > 1)
-         AND (ws.ws_net_paid > 0)
-         AND (ws.ws_quantity > 0)
-         AND (ws_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY ws.ws_item_sk
-   )  in_web
-)  web
-WHERE (web.return_rank <= 10)
-   OR (web.currency_rank <= 10))
-UNION (SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  'catalog' channel
-, catalog.item
-, catalog.return_ratio
-, catalog.return_rank
-, catalog.currency_rank
-FROM
-  (
-   SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        cs.cs_item_sk item
-      , (CAST(sum(COALESCE(cr.cr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        catalog_sales cs
-      LEFT JOIN catalog_returns cr ON (cs.cs_order_number = cr.cr_order_number)
-         AND (cs.cs_item_sk = cr.cr_item_sk)
-      , date_dim
-      WHERE (cr.cr_return_amount > 10000)
-         AND (cs.cs_net_profit > 1)
-         AND (cs.cs_net_paid > 0)
-         AND (cs.cs_quantity > 0)
-         AND (cs_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY cs.cs_item_sk
-   )  in_cat
-) catalog 
-WHERE (catalog.return_rank <= 10)
-   OR (catalog.currency_rank <= 10))
-UNION (SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  'store' channel
-, store.item
-, store.return_ratio
-, store.return_rank
-, store.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        sts.ss_item_sk item
-      , (CAST(sum(COALESCE(sr.sr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        store_sales sts
-      LEFT JOIN store_returns sr ON (sts.ss_ticket_number = sr.sr_ticket_number)
-         AND (sts.ss_item_sk = sr.sr_item_sk)
-      , date_dim
-      WHERE (sr.sr_return_amt > 10000)
-         AND (sts.ss_net_profit > 1)
-         AND (sts.ss_net_paid > 0)
-         AND (sts.ss_quantity > 0)
-         AND (ss_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY sts.ss_item_sk
-   )  in_store
-)  store
-WHERE (store.return_rank <= 10)
-   OR (store.currency_rank <= 10))
-ORDER BY 1 ASC, 4 ASC, 5 ASC, 2 ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q50.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q50.sql
deleted file mode 100644
index da07d05965..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q50.sql
+++ /dev/null
@@ -1,36 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_store_name
-, s_company_id
-, s_street_number
-, s_street_name
-, s_street_type
-, s_suite_number
-, s_city
-, s_county
-, s_state
-, s_zip
-, sum((CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) <= 30) THEN 1 ELSE 0 END)) '30 days'
-, sum((CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 30)
-   AND ((sr_returned_date_sk - ss_sold_date_sk) <= 60) THEN 1 ELSE 0 END)) '31-60 days'
-, sum((CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 60)
-   AND ((sr_returned_date_sk - ss_sold_date_sk) <= 90) THEN 1 ELSE 0 END)) '61-90 days'
-, sum((CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 90)
-   AND ((sr_returned_date_sk - ss_sold_date_sk) <= 120) THEN 1 ELSE 0 END)) '91-120 days'
-, sum((CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 120) THEN 1 ELSE 0 END)) '>120 days'
-FROM
-  store_sales
-, store_returns
-, store
-, date_dim d1
-, date_dim d2
-WHERE (d2.d_year = 2001)
-   AND (d2.d_moy = 8)
-   AND (ss_ticket_number = sr_ticket_number)
-   AND (ss_item_sk = sr_item_sk)
-   AND (ss_sold_date_sk = d1.d_date_sk)
-   AND (sr_returned_date_sk = d2.d_date_sk)
-   AND (ss_customer_sk = sr_customer_sk)
-   AND (ss_store_sk = s_store_sk)
-GROUP BY s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip
-ORDER BY s_store_name ASC, s_company_id ASC, s_street_number ASC, s_street_name ASC, s_street_type ASC, s_suite_number ASC, s_city ASC, s_county ASC, s_state ASC, s_zip ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q51.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q51.sql
deleted file mode 100644
index 0eb0cb5d26..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q51.sql
+++ /dev/null
@@ -1,53 +0,0 @@
-WITH
-  web_v1 AS (
-   SELECT
-     ws_item_sk item_sk
-   , d_date
-   , sum(sum(ws_sales_price)) OVER (PARTITION BY ws_item_sk ORDER BY d_date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) cume_sales
-   FROM
-     web_sales
-   , date_dim
-   WHERE (ws_sold_date_sk = d_date_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-      AND (ws_item_sk IS NOT NULL)
-   GROUP BY ws_item_sk, d_date
-)
-, store_v1 AS (
-   SELECT
-     ss_item_sk item_sk
-   , d_date
-   , sum(sum(ss_sales_price)) OVER (PARTITION BY ss_item_sk ORDER BY d_date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) cume_sales
-   FROM
-     store_sales
-   , date_dim
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-      AND (ss_item_sk IS NOT NULL)
-   GROUP BY ss_item_sk, d_date
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  (
-   SELECT
-     item_sk
-   , d_date
-   , web_sales
-   , store_sales
-   , max(web_sales) OVER (PARTITION BY item_sk ORDER BY d_date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) web_cumulative
-   , max(store_sales) OVER (PARTITION BY item_sk ORDER BY d_date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) store_cumulative
-   FROM
-     (
-      SELECT
-        (CASE WHEN (web.item_sk IS NOT NULL) THEN web.item_sk ELSE store.item_sk END) item_sk
-      , (CASE WHEN (web.d_date IS NOT NULL) THEN web.d_date ELSE store.d_date END) d_date
-      , web.cume_sales web_sales
-      , store.cume_sales store_sales
-      FROM
-        web_v1 web
-      FULL JOIN store_v1 store ON (web.item_sk = store.item_sk)
-         AND (web.d_date = store.d_date)
-   )  x
-)  y
-WHERE (web_cumulative > store_cumulative)
-ORDER BY item_sk ASC, d_date ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q52.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q52.sql
deleted file mode 100644
index 7a5000e4c3..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q52.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  dt.d_year
-, item.i_brand_id brand_id
-, item.i_brand brand
-, sum(ss_ext_sales_price) ext_price
-FROM
-  date_dim dt
-, store_sales
-, item
-WHERE (dt.d_date_sk = store_sales.ss_sold_date_sk)
-   AND (store_sales.ss_item_sk = item.i_item_sk)
-   AND (item.i_manager_id = 1)
-   AND (dt.d_moy = 11)
-   AND (dt.d_year = 2000)
-GROUP BY dt.d_year, item.i_brand, item.i_brand_id
-ORDER BY dt.d_year ASC, ext_price DESC, brand_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q53.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q53.sql
deleted file mode 100644
index e360b37cf4..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q53.sql
+++ /dev/null
@@ -1,27 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  (
-   SELECT
-     i_manufact_id
-   , sum(ss_sales_price) sum_sales
-   , avg(sum(ss_sales_price)) OVER (PARTITION BY i_manufact_id) avg_quarterly_sales
-   FROM
-     item
-   , store_sales
-   , date_dim
-   , store
-   WHERE (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (d_month_seq IN (1200   , (1200 + 1)   , (1200 + 2)   , (1200 + 3)   , (1200 + 4)   , (1200 + 5)   , (1200 + 6)   , (1200 + 7)   , (1200 + 8)   , (1200 + 9)   , (1200 + 10)   , (1200 + 11)))
-      AND (((i_category IN ('Books'         , 'Children'         , 'Electronics'))
-            AND (i_class IN ('personal'         , 'portable'         , 'reference'         , 'self-help'))
-            AND (i_brand IN ('scholaramalgamalg #14'         , 'scholaramalgamalg #7'         , 'exportiunivamalg #9'         , 'scholaramalgamalg #9')))
-         OR ((i_category IN ('Women'         , 'Music'         , 'Men'))
-            AND (i_class IN ('accessories'         , 'classical'         , 'fragrances'         , 'pants'))
-            AND (i_brand IN ('amalgimporto #1'         , 'edu packscholar #1'         , 'exportiimporto #1'         , 'importoamalg #1'))))
-   GROUP BY i_manufact_id, d_qoy
-)  tmp1
-WHERE ((CASE WHEN (avg_quarterly_sales > 0) THEN (abs((sum_sales - avg_quarterly_sales)) / avg_quarterly_sales) ELSE null END) > 0.1)
-ORDER BY avg_quarterly_sales ASC, sum_sales ASC, i_manufact_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q54.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q54.sql
deleted file mode 100644
index b4f5a8d45e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q54.sql
+++ /dev/null
@@ -1,75 +0,0 @@
-WITH
-  my_customers AS (
-   SELECT DISTINCT
-     c_customer_sk
-   , c_current_addr_sk
-   FROM
-     (
-      SELECT
-        cs_sold_date_sk sold_date_sk
-      , cs_bill_customer_sk customer_sk
-      , cs_item_sk item_sk
-      FROM
-        catalog_sales
-UNION ALL       SELECT
-        ws_sold_date_sk sold_date_sk
-      , ws_bill_customer_sk customer_sk
-      , ws_item_sk item_sk
-      FROM
-        web_sales
-   )  cs_or_ws_sales
-   , item
-   , date_dim
-   , customer
-   WHERE (sold_date_sk = d_date_sk)
-      AND (item_sk = i_item_sk)
-      AND (i_category = 'Women')
-      AND (i_class = 'maternity')
-      AND (c_customer_sk = cs_or_ws_sales.customer_sk)
-      AND (d_moy = 12)
-      AND (d_year = 1998)
-)
-, my_revenue AS (
-   SELECT
-     c_customer_sk
-   , sum(ss_ext_sales_price) revenue
-   FROM
-     my_customers
-   , store_sales
-   , customer_address
-   , store
-   , date_dim
-   WHERE (c_current_addr_sk = ca_address_sk)
-      AND (ca_county = s_county)
-      AND (ca_state = s_state)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (c_customer_sk = ss_customer_sk)
-      AND (d_month_seq BETWEEN (
-      SELECT DISTINCT (d_month_seq + 1)
-      FROM
-        date_dim
-      WHERE (d_year = 1998)
-         AND (d_moy = 12)
-   ) AND (
-      SELECT DISTINCT (d_month_seq + 3)
-      FROM
-        date_dim
-      WHERE (d_year = 1998)
-         AND (d_moy = 12)
-   ))
-   GROUP BY c_customer_sk
-)
-, segments AS (
-   SELECT CAST((revenue / 50) AS INTEGER) segment
-   FROM
-     my_revenue
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  segment
-, count(*) num_customers
-, (segment * 50) segment_base
-FROM
-  segments
-GROUP BY segment
-ORDER BY segment ASC, num_customers ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q55.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q55.sql
deleted file mode 100644
index 238aed4fc4..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q55.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_brand_id brand_id
-, i_brand brand
-, sum(ss_ext_sales_price) ext_price
-FROM
-  date_dim
-, store_sales
-, item
-WHERE (d_date_sk = ss_sold_date_sk)
-   AND (ss_item_sk = i_item_sk)
-   AND (i_manager_id = 28)
-   AND (d_moy = 11)
-   AND (d_year = 1999)
-GROUP BY i_brand, i_brand_id
-ORDER BY ext_price DESC, i_brand_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q56.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q56.sql
deleted file mode 100644
index b89c8011fd..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q56.sql
+++ /dev/null
@@ -1,88 +0,0 @@
-WITH
-  ss AS (
-   SELECT
-     i_item_id
-   , sum(ss_ext_sales_price) total_sales
-   FROM
-     store_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_color IN ('slate'      , 'blanched'      , 'burnished'))
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy = 2)
-      AND (ss_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-, cs AS (
-   SELECT
-     i_item_id
-   , sum(cs_ext_sales_price) total_sales
-   FROM
-     catalog_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_color IN ('slate'      , 'blanched'      , 'burnished'))
-   ))
-      AND (cs_item_sk = i_item_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy = 2)
-      AND (cs_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-, ws AS (
-   SELECT
-     i_item_id
-   , sum(ws_ext_sales_price) total_sales
-   FROM
-     web_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_color IN ('slate'      , 'blanched'      , 'burnished'))
-   ))
-      AND (ws_item_sk = i_item_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy = 2)
-      AND (ws_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, sum(total_sales) total_sales
-FROM
-  (
-   SELECT *
-   FROM
-     ss
-UNION ALL    SELECT *
-   FROM
-     cs
-UNION ALL    SELECT *
-   FROM
-     ws
-)  tmp1
-GROUP BY i_item_id
-ORDER BY total_sales ASC, i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q57.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q57.sql
deleted file mode 100644
index 26e8007e47..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q57.sql
+++ /dev/null
@@ -1,58 +0,0 @@
-WITH
-  v1 AS (
-   SELECT
-     i_category
-   , i_brand
-   , cc_name
-   , d_year
-   , d_moy
-   , sum(cs_sales_price) sum_sales
-   , avg(sum(cs_sales_price)) OVER (PARTITION BY i_category, i_brand, cc_name, d_year) avg_monthly_sales
-   , rank() OVER (PARTITION BY i_category, i_brand, cc_name ORDER BY d_year ASC, d_moy ASC) rn
-   FROM
-     item
-   , catalog_sales
-   , date_dim
-   , call_center
-   WHERE (cs_item_sk = i_item_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (cc_call_center_sk = cs_call_center_sk)
-      AND ((d_year = 1999)
-         OR ((d_year = (1999 - 1))
-            AND (d_moy = 12))
-         OR ((d_year = (1999 + 1))
-            AND (d_moy = 1)))
-   GROUP BY i_category, i_brand, cc_name, d_year, d_moy
-)
-, v2 AS (
-   SELECT
-     v1.i_category
-   , v1.i_brand
-   , v1.cc_name
-   , v1.d_year
-   , v1.d_moy
-   , v1.avg_monthly_sales
-   , v1.sum_sales
-   , v1_lag.sum_sales psum
-   , v1_lead.sum_sales nsum
-   FROM
-     v1
-   , v1 v1_lag
-   , v1 v1_lead
-   WHERE (v1.i_category = v1_lag.i_category)
-      AND (v1.i_category = v1_lead.i_category)
-      AND (v1.i_brand = v1_lag.i_brand)
-      AND (v1.i_brand = v1_lead.i_brand)
-      AND (v1.cc_name = v1_lag.cc_name)
-      AND (v1.cc_name = v1_lead.cc_name)
-      AND (v1.rn = (v1_lag.rn + 1))
-      AND (v1.rn = (v1_lead.rn - 1))
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  v2
-WHERE (d_year = 1999)
-   AND (avg_monthly_sales > 0)
-   AND ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1)
-ORDER BY (sum_sales - avg_monthly_sales) ASC, 3 ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q58.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q58.sql
deleted file mode 100644
index bb23a44945..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q58.sql
+++ /dev/null
@@ -1,93 +0,0 @@
-WITH
-  ss_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(ss_ext_sales_price) ss_item_rev
-   FROM
-     store_sales
-   , item
-   , date_dim
-   WHERE (ss_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq = (
-            SELECT d_week_seq
-            FROM
-              date_dim
-            WHERE (d_date = CAST('2000-01-03' AS DATE))
-         ))
-   ))
-      AND (ss_sold_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-, cs_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(cs_ext_sales_price) cs_item_rev
-   FROM
-     catalog_sales
-   , item
-   , date_dim
-   WHERE (cs_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq = (
-            SELECT d_week_seq
-            FROM
-              date_dim
-            WHERE (d_date = CAST('2000-01-03' AS DATE))
-         ))
-   ))
-      AND (cs_sold_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-, ws_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(ws_ext_sales_price) ws_item_rev
-   FROM
-     web_sales
-   , item
-   , date_dim
-   WHERE (ws_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq = (
-            SELECT d_week_seq
-            FROM
-              date_dim
-            WHERE (d_date = CAST('2000-01-03' AS DATE))
-         ))
-   ))
-      AND (ws_sold_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  ss_items.item_id
-, ss_item_rev
-, ((ss_item_rev / ((ss_item_rev + cs_item_rev) + ws_item_rev)) / 3) * 100 ss_dev
-, cs_item_rev
-, ((cs_item_rev / ((ss_item_rev + cs_item_rev) + ws_item_rev)) / 3) * 100 cs_dev
-, ws_item_rev
-, ((ws_item_rev / ((ss_item_rev + cs_item_rev) + ws_item_rev)) / 3) * 100 ws_dev
-, (((ss_item_rev + cs_item_rev) + ws_item_rev) / 3) average
-FROM
-  ss_items
-, cs_items
-, ws_items
-WHERE (ss_items.item_id = cs_items.item_id)
-   AND (ss_items.item_id = ws_items.item_id)
-   AND (ss_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev)
-   AND (ss_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev)
-   AND (cs_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev)
-   AND (cs_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev)
-   AND (ws_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev)
-   AND (ws_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev)
-ORDER BY ss_items.item_id ASC, ss_item_rev ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q59.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q59.sql
deleted file mode 100644
index 63488fe931..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q59.sql
+++ /dev/null
@@ -1,74 +0,0 @@
-WITH
-  wss AS (
-   SELECT
-     d_week_seq
-   , ss_store_sk
-   , sum((CASE WHEN (d_day_name = 'Sunday') THEN ss_sales_price ELSE null END)) sun_sales
-   , sum((CASE WHEN (d_day_name = 'Monday') THEN ss_sales_price ELSE null END)) mon_sales
-   , sum((CASE WHEN (d_day_name = 'Tuesday') THEN ss_sales_price ELSE null END)) tue_sales
-   , sum((CASE WHEN (d_day_name = 'Wednesday') THEN ss_sales_price ELSE null END)) wed_sales
-   , sum((CASE WHEN (d_day_name = 'Thursday ') THEN ss_sales_price ELSE null END)) thu_sales
-   , sum((CASE WHEN (d_day_name = 'Friday') THEN ss_sales_price ELSE null END)) fri_sales
-   , sum((CASE WHEN (d_day_name = 'Saturday') THEN ss_sales_price ELSE null END)) sat_sales
-   FROM
-     store_sales
-   , date_dim
-   WHERE (d_date_sk = ss_sold_date_sk)
-   GROUP BY d_week_seq, ss_store_sk
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_store_name1
-, s_store_id1
-, d_week_seq1
-, (sun_sales1 / sun_sales2)
-, (mon_sales1 / mon_sales2)
-, (tue_sales1 / tue_sales2)
-, (wed_sales1 / wed_sales2)
-, (thu_sales1 / thu_sales2)
-, (fri_sales1 / fri_sales2)
-, (sat_sales1 / sat_sales2)
-FROM
-  (
-   SELECT
-     s_store_name s_store_name1
-   , wss.d_week_seq d_week_seq1
-   , s_store_id s_store_id1
-   , sun_sales sun_sales1
-   , mon_sales mon_sales1
-   , tue_sales tue_sales1
-   , wed_sales wed_sales1
-   , thu_sales thu_sales1
-   , fri_sales fri_sales1
-   , sat_sales sat_sales1
-   FROM
-     wss
-   , store
-   , date_dim d
-   WHERE (d.d_week_seq = wss.d_week_seq)
-      AND (ss_store_sk = s_store_sk)
-      AND (d_month_seq BETWEEN 1212 AND (1212 + 11))
-)  y
-, (
-   SELECT
-     s_store_name s_store_name2
-   , wss.d_week_seq d_week_seq2
-   , s_store_id s_store_id2
-   , sun_sales sun_sales2
-   , mon_sales mon_sales2
-   , tue_sales tue_sales2
-   , wed_sales wed_sales2
-   , thu_sales thu_sales2
-   , fri_sales fri_sales2
-   , sat_sales sat_sales2
-   FROM
-     wss
-   , store
-   , date_dim d
-   WHERE (d.d_week_seq = wss.d_week_seq)
-      AND (ss_store_sk = s_store_sk)
-      AND (d_month_seq BETWEEN (1212 + 12) AND (1212 + 23))
-)  x
-WHERE (s_store_id1 = s_store_id2)
-   AND (d_week_seq1 = (d_week_seq2 - 52))
-ORDER BY s_store_name1 ASC, s_store_id1 ASC, d_week_seq1 ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q60.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q60.sql
deleted file mode 100644
index ace81acd7b..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q60.sql
+++ /dev/null
@@ -1,88 +0,0 @@
-WITH
-  ss AS (
-   SELECT
-     i_item_id
-   , sum(ss_ext_sales_price) total_sales
-   FROM
-     store_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_category IN ('Music'))
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 9)
-      AND (ss_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-, cs AS (
-   SELECT
-     i_item_id
-   , sum(cs_ext_sales_price) total_sales
-   FROM
-     catalog_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_category IN ('Music'))
-   ))
-      AND (cs_item_sk = i_item_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 9)
-      AND (cs_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-, ws AS (
-   SELECT
-     i_item_id
-   , sum(ws_ext_sales_price) total_sales
-   FROM
-     web_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_category IN ('Music'))
-   ))
-      AND (ws_item_sk = i_item_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 9)
-      AND (ws_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, sum(total_sales) total_sales
-FROM
-  (
-   SELECT *
-   FROM
-     ss
-UNION ALL    SELECT *
-   FROM
-     cs
-UNION ALL    SELECT *
-   FROM
-     ws
-)  tmp1
-GROUP BY i_item_id
-ORDER BY i_item_id ASC, total_sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q61.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q61.sql
deleted file mode 100644
index ebac453195..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q61.sql
+++ /dev/null
@@ -1,52 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  promotions
-, total
-, ((CAST(promotions AS DECIMALV3(15,4)) / CAST(total AS DECIMALV3(15,4))) * 100)
-FROM
-  (
-   SELECT sum(ss_ext_sales_price) promotions
-   FROM
-     store_sales
-   , store
-   , promotion
-   , date_dim
-   , customer
-   , customer_address
-   , item
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (ss_promo_sk = p_promo_sk)
-      AND (ss_customer_sk = c_customer_sk)
-      AND (ca_address_sk = c_current_addr_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (ca_gmt_offset = -5)
-      AND (i_category = 'Jewelry')
-      AND ((p_channel_dmail = 'Y')
-         OR (p_channel_email = 'Y')
-         OR (p_channel_tv = 'Y'))
-      AND (s_gmt_offset = -5)
-      AND (d_year = 1998)
-      AND (d_moy = 11)
-)  promotional_sales
-, (
-   SELECT sum(ss_ext_sales_price) total
-   FROM
-     store_sales
-   , store
-   , date_dim
-   , customer
-   , customer_address
-   , item
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (ss_customer_sk = c_customer_sk)
-      AND (ca_address_sk = c_current_addr_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (ca_gmt_offset = -5)
-      AND (i_category = 'Jewelry')
-      AND (s_gmt_offset = -5)
-      AND (d_year = 1998)
-      AND (d_moy = 11)
-)  all_sales
-ORDER BY promotions ASC, total ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q62.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q62.sql
deleted file mode 100644
index 5d8d7550a6..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q62.sql
+++ /dev/null
@@ -1,26 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  substr(w_warehouse_name, 1, 20)
-, sm_type
-, web_name
-, sum((CASE WHEN ((ws_ship_date_sk - ws_sold_date_sk) <= 30) THEN 1 ELSE 0 END)) '30 days'
-, sum((CASE WHEN ((ws_ship_date_sk - ws_sold_date_sk) > 30)
-   AND ((ws_ship_date_sk - ws_sold_date_sk) <= 60) THEN 1 ELSE 0 END)) '31-60 days'
-, sum((CASE WHEN ((ws_ship_date_sk - ws_sold_date_sk) > 60)
-   AND ((ws_ship_date_sk - ws_sold_date_sk) <= 90) THEN 1 ELSE 0 END)) '61-90 days'
-, sum((CASE WHEN ((ws_ship_date_sk - ws_sold_date_sk) > 90)
-   AND ((ws_ship_date_sk - ws_sold_date_sk) <= 120) THEN 1 ELSE 0 END)) '91-120 days'
-, sum((CASE WHEN ((ws_ship_date_sk - ws_sold_date_sk) > 120) THEN 1 ELSE 0 END)) '>120 days'
-FROM
-  web_sales
-, warehouse
-, ship_mode
-, web_site
-, date_dim
-WHERE (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   AND (ws_ship_date_sk = d_date_sk)
-   AND (ws_warehouse_sk = w_warehouse_sk)
-   AND (ws_ship_mode_sk = sm_ship_mode_sk)
-   AND (ws_web_site_sk = web_site_sk)
-GROUP BY substr(w_warehouse_name, 1, 20), sm_type, web_name
-ORDER BY substr(w_warehouse_name, 1, 20) ASC, sm_type ASC, web_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q63.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q63.sql
deleted file mode 100644
index 36252bde89..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q63.sql
+++ /dev/null
@@ -1,27 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  (
-   SELECT
-     i_manager_id
-   , sum(ss_sales_price) sum_sales
-   , avg(sum(ss_sales_price)) OVER (PARTITION BY i_manager_id) avg_monthly_sales
-   FROM
-     item
-   , store_sales
-   , date_dim
-   , store
-   WHERE (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (d_month_seq IN (1200   , (1200 + 1)   , (1200 + 2)   , (1200 + 3)   , (1200 + 4)   , (1200 + 5)   , (1200 + 6)   , (1200 + 7)   , (1200 + 8)   , (1200 + 9)   , (1200 + 10)   , (1200 + 11)))
-      AND (((i_category IN ('Books'         , 'Children'         , 'Electronics'))
-            AND (i_class IN ('personal'         , 'portable'         , 'refernece'         , 'self-help'))
-            AND (i_brand IN ('scholaramalgamalg #14'         , 'scholaramalgamalg #7'         , 'exportiunivamalg #9'         , 'scholaramalgamalg #9')))
-         OR ((i_category IN ('Women'         , 'Music'         , 'Men'))
-            AND (i_class IN ('accessories'         , 'classical'         , 'fragrances'         , 'pants'))
-            AND (i_brand IN ('amalgimporto #1'         , 'edu packscholar #1'         , 'exportiimporto #1'         , 'importoamalg #1'))))
-   GROUP BY i_manager_id, d_moy
-)  tmp1
-WHERE ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1)
-ORDER BY i_manager_id ASC, avg_monthly_sales ASC, sum_sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q64.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q64.sql
deleted file mode 100644
index 3eeda87f6f..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q64.sql
+++ /dev/null
@@ -1,110 +0,0 @@
-WITH
-  cs_ui AS (
-   SELECT
-     cs_item_sk
-   , sum(cs_ext_list_price) sale
-   , sum(((cr_refunded_cash + cr_reversed_charge) + cr_store_credit)) refund
-   FROM
-     catalog_sales
-   , catalog_returns
-   WHERE (cs_item_sk = cr_item_sk)
-      AND (cs_order_number = cr_order_number)
-   GROUP BY cs_item_sk
-   HAVING (sum(cs_ext_list_price) > (2 * sum(((cr_refunded_cash + cr_reversed_charge) + cr_store_credit))))
-)
-, cross_sales AS (
-   SELECT
-     i_product_name product_name
-   , i_item_sk item_sk
-   , s_store_name store_name
-   , s_zip store_zip
-   , ad1.ca_street_number b_street_number
-   , ad1.ca_street_name b_street_name
-   , ad1.ca_city b_city
-   , ad1.ca_zip b_zip
-   , ad2.ca_street_number c_street_number
-   , ad2.ca_street_name c_street_name
-   , ad2.ca_city c_city
-   , ad2.ca_zip c_zip
-   , d1.d_year syear
-   , d2.d_year fsyear
-   , d3.d_year s2year
-   , count(*) cnt
-   , sum(ss_wholesale_cost) s1
-   , sum(ss_list_price) s2
-   , sum(ss_coupon_amt) s3
-   FROM
-     store_sales
-   , store_returns
-   , cs_ui
-   , date_dim d1
-   , date_dim d2
-   , date_dim d3
-   , store
-   , customer
-   , customer_demographics cd1
-   , customer_demographics cd2
-   , promotion
-   , household_demographics hd1
-   , household_demographics hd2
-   , customer_address ad1
-   , customer_address ad2
-   , income_band ib1
-   , income_band ib2
-   , item
-   WHERE (ss_store_sk = s_store_sk)
-      AND (ss_sold_date_sk = d1.d_date_sk)
-      AND (ss_customer_sk = c_customer_sk)
-      AND (ss_cdemo_sk = cd1.cd_demo_sk)
-      AND (ss_hdemo_sk = hd1.hd_demo_sk)
-      AND (ss_addr_sk = ad1.ca_address_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_item_sk = sr_item_sk)
-      AND (ss_ticket_number = sr_ticket_number)
-      AND (ss_item_sk = cs_ui.cs_item_sk)
-      AND (c_current_cdemo_sk = cd2.cd_demo_sk)
-      AND (c_current_hdemo_sk = hd2.hd_demo_sk)
-      AND (c_current_addr_sk = ad2.ca_address_sk)
-      AND (c_first_sales_date_sk = d2.d_date_sk)
-      AND (c_first_shipto_date_sk = d3.d_date_sk)
-      AND (ss_promo_sk = p_promo_sk)
-      AND (hd1.hd_income_band_sk = ib1.ib_income_band_sk)
-      AND (hd2.hd_income_band_sk = ib2.ib_income_band_sk)
-      AND (cd1.cd_marital_status <> cd2.cd_marital_status)
-      AND (i_color IN ('purple'   , 'burlywood'   , 'indian'   , 'spring'   , 'floral'   , 'medium'))
-      AND (i_current_price BETWEEN 64 AND (64 + 10))
-      AND (i_current_price BETWEEN (64 + 1) AND (64 + 15))
-   GROUP BY i_product_name, i_item_sk, s_store_name, s_zip, ad1.ca_street_number, ad1.ca_street_name, ad1.ca_city, ad1.ca_zip, ad2.ca_street_number, ad2.ca_street_name, ad2.ca_city, ad2.ca_zip, d1.d_year, d2.d_year, d3.d_year
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  cs1.product_name
-, cs1.store_name
-, cs1.store_zip
-, cs1.b_street_number
-, cs1.b_street_name
-, cs1.b_city
-, cs1.b_zip
-, cs1.c_street_number
-, cs1.c_street_name
-, cs1.c_city
-, cs1.c_zip
-, cs1.syear
-, cs1.cnt
-, cs1.s1 s11
-, cs1.s2 s21
-, cs1.s3 s31
-, cs2.s1 s12
-, cs2.s2 s22
-, cs2.s3 s32
-, cs2.syear
-, cs2.cnt
-FROM
-  cross_sales cs1
-, cross_sales cs2
-WHERE (cs1.item_sk = cs2.item_sk)
-   AND (cs1.syear = 1999)
-   AND (cs2.syear = (1999 + 1))
-   AND (cs2.cnt <= cs1.cnt)
-   AND (cs1.store_name = cs2.store_name)
-   AND (cs1.store_zip = cs2.store_zip)
-ORDER BY cs1.product_name ASC, cs1.store_name ASC, cs2.cnt ASC, 14, 15, 16, 17, 18
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q65.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q65.sql
deleted file mode 100644
index 4f74973fb0..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q65.sql
+++ /dev/null
@@ -1,47 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_store_name
-, i_item_desc
-, sc.revenue
-, i_current_price
-, i_wholesale_cost
-, i_brand
-FROM
-  store
-, item
-, (
-   SELECT
-     ss_store_sk
-   , avg(revenue) ave
-   FROM
-     (
-      SELECT
-        ss_store_sk
-      , ss_item_sk
-      , sum(ss_sales_price) revenue
-      FROM
-        store_sales
-      , date_dim
-      WHERE (ss_sold_date_sk = d_date_sk)
-         AND (d_month_seq BETWEEN 1176 AND (1176 + 11))
-      GROUP BY ss_store_sk, ss_item_sk
-   )  sa
-   GROUP BY ss_store_sk
-)  sb
-, (
-   SELECT
-     ss_store_sk
-   , ss_item_sk
-   , sum(ss_sales_price) revenue
-   FROM
-     store_sales
-   , date_dim
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (d_month_seq BETWEEN 1176 AND (1176 + 11))
-   GROUP BY ss_store_sk, ss_item_sk
-)  sc
-WHERE (sb.ss_store_sk = sc.ss_store_sk)
-   AND (sc.revenue <= (0.1 * sb.ave))
-   AND (s_store_sk = sc.ss_store_sk)
-   AND (i_item_sk = sc.ss_item_sk)
-ORDER BY s_store_name ASC, i_item_desc ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q66.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q66.sql
deleted file mode 100644
index f113fb64dd..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q66.sql
+++ /dev/null
@@ -1,146 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  w_warehouse_name
-, w_warehouse_sq_ft
-, w_city
-, w_county
-, w_state
-, w_country
-, ship_carriers
-, year
-, sum(jan_sales) jan_sales
-, sum(feb_sales) feb_sales
-, sum(mar_sales) mar_sales
-, sum(apr_sales) apr_sales
-, sum(may_sales) may_sales
-, sum(jun_sales) jun_sales
-, sum(jul_sales) jul_sales
-, sum(aug_sales) aug_sales
-, sum(sep_sales) sep_sales
-, sum(oct_sales) oct_sales
-, sum(nov_sales) nov_sales
-, sum(dec_sales) dec_sales
-, sum((jan_sales / w_warehouse_sq_ft)) jan_sales_per_sq_foot
-, sum((feb_sales / w_warehouse_sq_ft)) feb_sales_per_sq_foot
-, sum((mar_sales / w_warehouse_sq_ft)) mar_sales_per_sq_foot
-, sum((apr_sales / w_warehouse_sq_ft)) apr_sales_per_sq_foot
-, sum((may_sales / w_warehouse_sq_ft)) may_sales_per_sq_foot
-, sum((jun_sales / w_warehouse_sq_ft)) jun_sales_per_sq_foot
-, sum((jul_sales / w_warehouse_sq_ft)) jul_sales_per_sq_foot
-, sum((aug_sales / w_warehouse_sq_ft)) aug_sales_per_sq_foot
-, sum((sep_sales / w_warehouse_sq_ft)) sep_sales_per_sq_foot
-, sum((oct_sales / w_warehouse_sq_ft)) oct_sales_per_sq_foot
-, sum((nov_sales / w_warehouse_sq_ft)) nov_sales_per_sq_foot
-, sum((dec_sales / w_warehouse_sq_ft)) dec_sales_per_sq_foot
-, sum(jan_net) jan_net
-, sum(feb_net) feb_net
-, sum(mar_net) mar_net
-, sum(apr_net) apr_net
-, sum(may_net) may_net
-, sum(jun_net) jun_net
-, sum(jul_net) jul_net
-, sum(aug_net) aug_net
-, sum(sep_net) sep_net
-, sum(oct_net) oct_net
-, sum(nov_net) nov_net
-, sum(dec_net) dec_net
-FROM
-(
-      SELECT
-        w_warehouse_name
-      , w_warehouse_sq_ft
-      , w_city
-      , w_county
-      , w_state
-      , w_country
-      , concat(concat('DHL', ','), 'BARIAN') ship_carriers
-      , d_year YEAR
-      , sum((CASE WHEN (d_moy = 1) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) jan_sales
-      , sum((CASE WHEN (d_moy = 2) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) feb_sales
-      , sum((CASE WHEN (d_moy = 3) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) mar_sales
-      , sum((CASE WHEN (d_moy = 4) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) apr_sales
-      , sum((CASE WHEN (d_moy = 5) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) may_sales
-      , sum((CASE WHEN (d_moy = 6) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) jun_sales
-      , sum((CASE WHEN (d_moy = 7) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) jul_sales
-      , sum((CASE WHEN (d_moy = 8) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) aug_sales
-      , sum((CASE WHEN (d_moy = 9) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) sep_sales
-      , sum((CASE WHEN (d_moy = 10) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) oct_sales
-      , sum((CASE WHEN (d_moy = 11) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) nov_sales
-      , sum((CASE WHEN (d_moy = 12) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) dec_sales
-      , sum((CASE WHEN (d_moy = 1) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) jan_net
-      , sum((CASE WHEN (d_moy = 2) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) feb_net
-      , sum((CASE WHEN (d_moy = 3) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) mar_net
-      , sum((CASE WHEN (d_moy = 4) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) apr_net
-      , sum((CASE WHEN (d_moy = 5) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) may_net
-      , sum((CASE WHEN (d_moy = 6) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) jun_net
-      , sum((CASE WHEN (d_moy = 7) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) jul_net
-      , sum((CASE WHEN (d_moy = 8) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) aug_net
-      , sum((CASE WHEN (d_moy = 9) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) sep_net
-      , sum((CASE WHEN (d_moy = 10) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) oct_net
-      , sum((CASE WHEN (d_moy = 11) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) nov_net
-      , sum((CASE WHEN (d_moy = 12) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) dec_net
-      FROM
-        web_sales
-      , warehouse
-      , date_dim
-      , time_dim
-      , ship_mode
-      WHERE (ws_warehouse_sk = w_warehouse_sk)
-         AND (ws_sold_date_sk = d_date_sk)
-         AND (ws_sold_time_sk = t_time_sk)
-         AND (ws_ship_mode_sk = sm_ship_mode_sk)
-         AND (d_year = 2001)
-         AND (t_time BETWEEN 30838 AND (30838 + 28800))
-         AND (sm_carrier IN ('DHL'      , 'BARIAN'))
-      GROUP BY w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country, d_year
-   UNION ALL
-      SELECT
-        w_warehouse_name
-      , w_warehouse_sq_ft
-      , w_city
-      , w_county
-      , w_state
-      , w_country
-      , concat(concat('DHL', ','), 'BARIAN') ship_carriers
-      , d_year YEAR
-      , sum((CASE WHEN (d_moy = 1) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) jan_sales
-      , sum((CASE WHEN (d_moy = 2) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) feb_sales
-      , sum((CASE WHEN (d_moy = 3) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) mar_sales
-      , sum((CASE WHEN (d_moy = 4) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) apr_sales
-      , sum((CASE WHEN (d_moy = 5) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) may_sales
-      , sum((CASE WHEN (d_moy = 6) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) jun_sales
-      , sum((CASE WHEN (d_moy = 7) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) jul_sales
-      , sum((CASE WHEN (d_moy = 8) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) aug_sales
-      , sum((CASE WHEN (d_moy = 9) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) sep_sales
-      , sum((CASE WHEN (d_moy = 10) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) oct_sales
-      , sum((CASE WHEN (d_moy = 11) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) nov_sales
-      , sum((CASE WHEN (d_moy = 12) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) dec_sales
-      , sum((CASE WHEN (d_moy = 1) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) jan_net
-      , sum((CASE WHEN (d_moy = 2) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) feb_net
-      , sum((CASE WHEN (d_moy = 3) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) mar_net
-      , sum((CASE WHEN (d_moy = 4) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) apr_net
-      , sum((CASE WHEN (d_moy = 5) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) may_net
-      , sum((CASE WHEN (d_moy = 6) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) jun_net
-      , sum((CASE WHEN (d_moy = 7) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) jul_net
-      , sum((CASE WHEN (d_moy = 8) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) aug_net
-      , sum((CASE WHEN (d_moy = 9) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) sep_net
-      , sum((CASE WHEN (d_moy = 10) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) oct_net
-      , sum((CASE WHEN (d_moy = 11) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) nov_net
-      , sum((CASE WHEN (d_moy = 12) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) dec_net
-      FROM
-        catalog_sales
-      , warehouse
-      , date_dim
-      , time_dim
-      , ship_mode
-      WHERE (cs_warehouse_sk = w_warehouse_sk)
-         AND (cs_sold_date_sk = d_date_sk)
-         AND (cs_sold_time_sk = t_time_sk)
-         AND (cs_ship_mode_sk = sm_ship_mode_sk)
-         AND (d_year = 2001)
-         AND (t_time BETWEEN 30838 AND (30838 + 28800))
-         AND (sm_carrier IN ('DHL'      , 'BARIAN'))
-      GROUP BY w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country, d_year
-   )  x
-GROUP BY w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country, ship_carriers, year
-ORDER BY w_warehouse_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q67_ignore_temporarily.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q67_ignore_temporarily.sql
deleted file mode 100644
index b832c8e372..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q67_ignore_temporarily.sql
+++ /dev/null
@@ -1,41 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  (
-   SELECT
-     i_category
-   , i_class
-   , i_brand
-   , i_product_name
-   , d_year
-   , d_qoy
-   , d_moy
-   , s_store_id
-   , sumsales
-   , rank() OVER (PARTITION BY i_category ORDER BY sumsales DESC) rk
-   FROM
-     (
-      SELECT
-        i_category
-      , i_class
-      , i_brand
-      , i_product_name
-      , d_year
-      , d_qoy
-      , d_moy
-      , s_store_id
-      , sum(COALESCE((ss_sales_price * ss_quantity), 0)) sumsales
-      FROM
-        store_sales
-      , date_dim
-      , store
-      , item
-      WHERE (ss_sold_date_sk = d_date_sk)
-         AND (ss_item_sk = i_item_sk)
-         AND (ss_store_sk = s_store_sk)
-         AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-      GROUP BY ROLLUP (i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy, s_store_id)
-   )  dw1
-)  dw2
-WHERE (rk <= 100)
-ORDER BY i_category ASC, i_class ASC, i_brand ASC, i_product_name ASC, d_year ASC, d_qoy ASC, d_moy ASC, s_store_id ASC, sumsales ASC, rk ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q68.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q68.sql
deleted file mode 100644
index 528ae18cc7..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q68.sql
+++ /dev/null
@@ -1,42 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_last_name
-, c_first_name
-, ca_city
-, bought_city
-, ss_ticket_number
-, extended_price
-, extended_tax
-, list_price
-FROM
-  (
-   SELECT
-     ss_ticket_number
-   , ss_customer_sk
-   , ca_city bought_city
-   , sum(ss_ext_sales_price) extended_price
-   , sum(ss_ext_list_price) list_price
-   , sum(ss_ext_tax) extended_tax
-   FROM
-     store_sales
-   , date_dim
-   , store
-   , household_demographics
-   , customer_address
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_store_sk = store.s_store_sk)
-      AND (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (store_sales.ss_addr_sk = customer_address.ca_address_sk)
-      AND (date_dim.d_dom BETWEEN 1 AND 2)
-      AND ((household_demographics.hd_dep_count = 4)
-         OR (household_demographics.hd_vehicle_count = 3))
-      AND (date_dim.d_year IN (1999   , (1999 + 1)   , (1999 + 2)))
-      AND (store.s_city IN ('Midway'   , 'Fairview'))
-   GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city
-)  dn
-, customer
-, customer_address current_addr
-WHERE (ss_customer_sk = c_customer_sk)
-   AND (customer.c_current_addr_sk = current_addr.ca_address_sk)
-   AND (current_addr.ca_city <> bought_city)
-ORDER BY c_last_name ASC, ss_ticket_number ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q69.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q69.sql
deleted file mode 100644
index 77bf5ab66c..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q69.sql
+++ /dev/null
@@ -1,49 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  cd_gender
-, cd_marital_status
-, cd_education_status
-, count(*) cnt1
-, cd_purchase_estimate
-, count(*) cnt2
-, cd_credit_rating
-, count(*) cnt3
-FROM
-  customer c
-, customer_address ca
-, customer_demographics
-WHERE (c.c_current_addr_sk = ca.ca_address_sk)
-   AND (ca_state IN ('KY', 'GA', 'NM'))
-   AND (cd_demo_sk = c.c_current_cdemo_sk)
-   AND (EXISTS (
-   SELECT *
-   FROM
-     store_sales
-   , date_dim
-   WHERE (c.c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy BETWEEN 4 AND (4 + 2))
-))
-   AND (NOT (EXISTS (
-   SELECT *
-   FROM
-     web_sales
-   , date_dim
-   WHERE (c.c_customer_sk = ws_bill_customer_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy BETWEEN 4 AND (4 + 2))
-)))
-   AND (NOT (EXISTS (
-   SELECT *
-   FROM
-     catalog_sales
-   , date_dim
-   WHERE (c.c_customer_sk = cs_ship_customer_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy BETWEEN 4 AND (4 + 2))
-)))
-GROUP BY cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating
-ORDER BY cd_gender ASC, cd_marital_status ASC, cd_education_status ASC, cd_purchase_estimate ASC, cd_credit_rating ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q70.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q70.sql
deleted file mode 100644
index 918c303929..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q70.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  sum(ss_net_profit) total_sum
-, s_state
-, s_county
-, (GROUPING (s_state) + GROUPING (s_county)) lochierarchy
-, rank() OVER (PARTITION BY (GROUPING (s_state) + GROUPING (s_county)), (CASE WHEN (GROUPING (s_county) = 0) THEN s_state END) ORDER BY sum(ss_net_profit) DESC) rank_within_parent
-FROM
-  store_sales
-, date_dim d1
-, store
-WHERE (d1.d_month_seq BETWEEN 1200 AND (1200 + 11))
-   AND (d1.d_date_sk = ss_sold_date_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (s_state IN (
-   SELECT s_state
-   FROM
-     (
-      SELECT
-        s_state s_state
-      , rank() OVER (PARTITION BY s_state ORDER BY sum(ss_net_profit) DESC) ranking
-      FROM
-        store_sales
-      , store
-      , date_dim
-      WHERE (d_month_seq BETWEEN 1200 AND (1200 + 11))
-         AND (d_date_sk = ss_sold_date_sk)
-         AND (s_store_sk = ss_store_sk)
-      GROUP BY s_state
-   )  tmp1
-   WHERE (ranking <= 5)
-))
-GROUP BY ROLLUP (s_state, s_county)
-ORDER BY lochierarchy DESC, (CASE WHEN (lochierarchy = 0) THEN s_state END) ASC, rank_within_parent ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q71.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q71.sql
deleted file mode 100644
index 97b3abe9c1..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q71.sql
+++ /dev/null
@@ -1,51 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_brand_id brand_id
-, i_brand brand
-, t_hour
-, t_minute
-, sum(ext_price) ext_price
-FROM
-  item
-, (
-   SELECT
-     ws_ext_sales_price ext_price
-   , ws_sold_date_sk sold_date_sk
-   , ws_item_sk sold_item_sk
-   , ws_sold_time_sk time_sk
-   FROM
-     web_sales
-   , date_dim
-   WHERE (d_date_sk = ws_sold_date_sk)
-      AND (d_moy = 11)
-      AND (d_year = 1999)
-UNION ALL    SELECT
-     cs_ext_sales_price ext_price
-   , cs_sold_date_sk sold_date_sk
-   , cs_item_sk sold_item_sk
-   , cs_sold_time_sk time_sk
-   FROM
-     catalog_sales
-   , date_dim
-   WHERE (d_date_sk = cs_sold_date_sk)
-      AND (d_moy = 11)
-      AND (d_year = 1999)
-UNION ALL    SELECT
-     ss_ext_sales_price ext_price
-   , ss_sold_date_sk sold_date_sk
-   , ss_item_sk sold_item_sk
-   , ss_sold_time_sk time_sk
-   FROM
-     store_sales
-   , date_dim
-   WHERE (d_date_sk = ss_sold_date_sk)
-      AND (d_moy = 11)
-      AND (d_year = 1999)
-)  tmp
-, time_dim
-WHERE (sold_item_sk = i_item_sk)
-   AND (i_manager_id = 1)
-   AND (time_sk = t_time_sk)
-   AND ((t_meal_time = 'breakfast')
-      OR (t_meal_time = 'dinner'))
-GROUP BY i_brand, i_brand_id, t_hour, t_minute
-ORDER BY ext_price DESC, i_brand_id ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q72.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q72.sql
deleted file mode 100644
index 8965a16a27..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q72.sql
+++ /dev/null
@@ -1,32 +0,0 @@
--- For ASAN build, it will take too long time to run q72, disable for now
-/*
-SELECT
-  i_item_desc
-, w_warehouse_name
-, d1.d_week_seq
-, sum((CASE WHEN (p_promo_sk IS NULL) THEN 1 ELSE 0 END)) no_promo
-, sum((CASE WHEN (p_promo_sk IS NOT NULL) THEN 1 ELSE 0 END)) promo
-, count(*) total_cnt
-FROM
-  catalog_sales
-INNER JOIN inventory ON (cs_item_sk = inv_item_sk)
-INNER JOIN warehouse ON (w_warehouse_sk = inv_warehouse_sk)
-INNER JOIN item ON (i_item_sk = cs_item_sk)
-INNER JOIN customer_demographics ON (cs_bill_cdemo_sk = cd_demo_sk)
-INNER JOIN household_demographics ON (cs_bill_hdemo_sk = hd_demo_sk)
-INNER JOIN date_dim d1 ON (cs_sold_date_sk = d1.d_date_sk)
-INNER JOIN date_dim d2 ON (inv_date_sk = d2.d_date_sk)
-INNER JOIN date_dim d3 ON (cs_ship_date_sk = d3.d_date_sk)
-LEFT JOIN promotion ON (cs_promo_sk = p_promo_sk)
-LEFT JOIN catalog_returns ON (cr_item_sk = cs_item_sk)
-   AND (cr_order_number = cs_order_number)
-WHERE (d1.d_week_seq = d2.d_week_seq)
-   AND (inv_quantity_on_hand < cs_quantity)
-   AND (d3.d_date > (d1.d_date + INTERVAL  '5' DAY))
-   AND (hd_buy_potential = '>10000')
-   AND (d1.d_year = 1999)
-   AND (cd_marital_status = 'D')
-GROUP BY i_item_desc, w_warehouse_name, d1.d_week_seq
-ORDER BY total_cnt DESC, i_item_desc ASC, w_warehouse_name ASC, d1.d_week_seq ASC
-LIMIT 100
-*/
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q73.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q73.sql
deleted file mode 100644
index 4fe7f4bafd..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q73.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_last_name
-, c_first_name
-, c_salutation
-, c_preferred_cust_flag
-, ss_ticket_number
-, cnt
-FROM
-  (
-   SELECT
-     ss_ticket_number
-   , ss_customer_sk
-   , count(*) cnt
-   FROM
-     store_sales
-   , date_dim
-   , store
-   , household_demographics
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_store_sk = store.s_store_sk)
-      AND (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (date_dim.d_dom BETWEEN 1 AND 2)
-      AND ((household_demographics.hd_buy_potential = '>10000')
-         OR (household_demographics.hd_buy_potential = 'Unknown'))
-      AND (household_demographics.hd_vehicle_count > 0)
-      AND ((CASE WHEN (household_demographics.hd_vehicle_count > 0) THEN (household_demographics.hd_dep_count / household_demographics.hd_vehicle_count) ELSE null END) > 1)
-      AND (date_dim.d_year IN (1999   , (1999 + 1)   , (1999 + 2)))
-      AND (store.s_county IN ('Williamson County'   , 'Franklin Parish'   , 'Bronx County'   , 'Orange County'))
-   GROUP BY ss_ticket_number, ss_customer_sk
-)  dj
-, customer
-WHERE (ss_customer_sk = c_customer_sk)
-   AND (cnt BETWEEN 1 AND 5)
-ORDER BY cnt DESC, c_last_name ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q74.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q74.sql
deleted file mode 100644
index 00736ad196..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q74.sql
+++ /dev/null
@@ -1,58 +0,0 @@
-WITH
-  year_total AS (
-   SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , d_year YEAR
-   , sum(ss_net_paid) year_total
-   , 's' sale_type
-   FROM
-     customer
-   , store_sales
-   , date_dim
-   WHERE (c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year IN (2001   , (2001 + 1)))
-   GROUP BY c_customer_id, c_first_name, c_last_name, d_year
-UNION ALL    SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , d_year YEAR
-   , sum(ws_net_paid) year_total
-   , 'w' sale_type
-   FROM
-     customer
-   , web_sales
-   , date_dim
-   WHERE (c_customer_sk = ws_bill_customer_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year IN (2001   , (2001 + 1)))
-   GROUP BY c_customer_id, c_first_name, c_last_name, d_year
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  t_s_secyear.customer_id
-, t_s_secyear.customer_first_name
-, t_s_secyear.customer_last_name
-FROM
-  year_total t_s_firstyear
-, year_total t_s_secyear
-, year_total t_w_firstyear
-, year_total t_w_secyear
-WHERE (t_s_secyear.customer_id = t_s_firstyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_secyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_firstyear.customer_id)
-   AND (t_s_firstyear.sale_type = 's')
-   AND (t_w_firstyear.sale_type = 'w')
-   AND (t_s_secyear.sale_type = 's')
-   AND (t_w_secyear.sale_type = 'w')
-   AND (t_s_firstyear.year = 2001)
-   AND (t_s_secyear.year = (2001 + 1))
-   AND (t_w_firstyear.year = 2001)
-   AND (t_w_secyear.year = (2001 + 1))
-   AND (t_s_firstyear.year_total > 0)
-   AND (t_w_firstyear.year_total > 0)
-   AND ((CASE WHEN (t_w_firstyear.year_total > 0) THEN (t_w_secyear.year_total / t_w_firstyear.year_total) ELSE null END) > (CASE WHEN (t_s_firstyear.year_total > 0) THEN (t_s_secyear.year_total / t_s_firstyear.year_total) ELSE null END))
-ORDER BY 1 ASC, 1 ASC, 1 ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q75.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q75.sql
deleted file mode 100644
index 2b96f1b2ef..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q75.sql
+++ /dev/null
@@ -1,83 +0,0 @@
-WITH
-  all_sales AS (
-   SELECT
-     d_year
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , i_manufact_id
-   , sum(sales_cnt) sales_cnt
-   , sum(sales_amt) sales_amt
-   FROM
-     (
-      SELECT
-        d_year
-      , i_brand_id
-      , i_class_id
-      , i_category_id
-      , i_manufact_id
-      , (cs_quantity - COALESCE(cr_return_quantity, 0)) sales_cnt
-      , (cs_ext_sales_price - COALESCE(cr_return_amount, 0.0)) sales_amt
-      FROM
-        catalog_sales
-      INNER JOIN item ON (i_item_sk = cs_item_sk)
-      INNER JOIN date_dim ON (d_date_sk = cs_sold_date_sk)
-      LEFT JOIN catalog_returns ON (cs_order_number = cr_order_number)
-         AND (cs_item_sk = cr_item_sk)
-      WHERE (i_category = 'Books')
-UNION       SELECT
-        d_year
-      , i_brand_id
-      , i_class_id
-      , i_category_id
-      , i_manufact_id
-      , (ss_quantity - COALESCE(sr_return_quantity, 0)) sales_cnt
-      , (ss_ext_sales_price - COALESCE(sr_return_amt, 0.0)) sales_amt
-      FROM
-        store_sales
-      INNER JOIN item ON (i_item_sk = ss_item_sk)
-      INNER JOIN date_dim ON (d_date_sk = ss_sold_date_sk)
-      LEFT JOIN store_returns ON (ss_ticket_number = sr_ticket_number)
-         AND (ss_item_sk = sr_item_sk)
-      WHERE (i_category = 'Books')
-UNION       SELECT
-        d_year
-      , i_brand_id
-      , i_class_id
-      , i_category_id
-      , i_manufact_id
-      , (ws_quantity - COALESCE(wr_return_quantity, 0)) sales_cnt
-      , (ws_ext_sales_price - COALESCE(wr_return_amt, 0.0)) sales_amt
-      FROM
-        web_sales
-      INNER JOIN item ON (i_item_sk = ws_item_sk)
-      INNER JOIN date_dim ON (d_date_sk = ws_sold_date_sk)
-      LEFT JOIN web_returns ON (ws_order_number = wr_order_number)
-         AND (ws_item_sk = wr_item_sk)
-      WHERE (i_category = 'Books')
-   )  sales_detail
-   GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  prev_yr.d_year prev_year
-, curr_yr.d_year year
-, curr_yr.i_brand_id
-, curr_yr.i_class_id
-, curr_yr.i_category_id
-, curr_yr.i_manufact_id
-, prev_yr.sales_cnt prev_yr_cnt
-, curr_yr.sales_cnt curr_yr_cnt
-, (curr_yr.sales_cnt - prev_yr.sales_cnt) sales_cnt_diff
-, (curr_yr.sales_amt - prev_yr.sales_amt) sales_amt_diff
-FROM
-  all_sales curr_yr
-, all_sales prev_yr
-WHERE (curr_yr.i_brand_id = prev_yr.i_brand_id)
-   AND (curr_yr.i_class_id = prev_yr.i_class_id)
-   AND (curr_yr.i_category_id = prev_yr.i_category_id)
-   AND (curr_yr.i_manufact_id = prev_yr.i_manufact_id)
-   AND (curr_yr.d_year = 2002)
-   AND (prev_yr.d_year = (2002 - 1))
-   AND ((CAST(curr_yr.sales_cnt AS DECIMALV3(17,2)) / CAST(prev_yr.sales_cnt AS DECIMALV3(17,2))) < 0.9)
-ORDER BY sales_cnt_diff ASC, sales_amt_diff ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q76.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q76.sql
deleted file mode 100644
index 175fad693a..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q76.sql
+++ /dev/null
@@ -1,56 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  channel
-, col_name
-, d_year
-, d_qoy
-, i_category
-, count(*) sales_cnt
-, sum(ext_sales_price) sales_amt
-FROM
-  (
-   SELECT
-     'store' channel
-   , 'ss_store_sk' col_name
-   , d_year
-   , d_qoy
-   , i_category
-   , ss_ext_sales_price ext_sales_price
-   FROM
-     store_sales
-   , item
-   , date_dim
-   WHERE (ss_store_sk IS NULL)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (ss_item_sk = i_item_sk)
-UNION ALL    SELECT
-     'web' channel
-   , 'ws_ship_customer_sk' col_name
-   , d_year
-   , d_qoy
-   , i_category
-   , ws_ext_sales_price ext_sales_price
-   FROM
-     web_sales
-   , item
-   , date_dim
-   WHERE (ws_ship_customer_sk IS NULL)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (ws_item_sk = i_item_sk)
-UNION ALL    SELECT
-     'catalog' channel
-   , 'cs_ship_addr_sk' col_name
-   , d_year
-   , d_qoy
-   , i_category
-   , cs_ext_sales_price ext_sales_price
-   FROM
-     catalog_sales
-   , item
-   , date_dim
-   WHERE (cs_ship_addr_sk IS NULL)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (cs_item_sk = i_item_sk)
-)  foo
-GROUP BY channel, col_name, d_year, d_qoy, i_category
-ORDER BY channel ASC, col_name ASC, d_year ASC, d_qoy ASC, i_category ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q77.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q77.sql
deleted file mode 100644
index 97062caec7..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q77.sql
+++ /dev/null
@@ -1,120 +0,0 @@
-WITH
-  ss AS (
-   SELECT
-     s_store_sk
-   , sum(ss_ext_sales_price) sales
-   , sum(ss_net_profit) profit
-   FROM
-     store_sales
-   , date_dim
-   , store
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (ss_store_sk = s_store_sk)
-   GROUP BY s_store_sk
-)
-, sr AS (
-   SELECT
-     s_store_sk
-   , sum(sr_return_amt) returns
-   , sum(sr_net_loss) profit_loss
-   FROM
-     store_returns
-   , date_dim
-   , store
-   WHERE (sr_returned_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (sr_store_sk = s_store_sk)
-   GROUP BY s_store_sk
-)
-, cs AS (
-   SELECT
-     cs_call_center_sk
-   , sum(cs_ext_sales_price) sales
-   , sum(cs_net_profit) profit
-   FROM
-     catalog_sales
-   , date_dim
-   WHERE (cs_sold_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-   GROUP BY cs_call_center_sk
-)
-, cr AS (
-   SELECT
-     cr_call_center_sk
-   , sum(cr_return_amount) returns
-   , sum(cr_net_loss) profit_loss
-   FROM
-     catalog_returns
-   , date_dim
-   WHERE (cr_returned_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-   GROUP BY cr_call_center_sk
-)
-, ws AS (
-   SELECT
-     wp_web_page_sk
-   , sum(ws_ext_sales_price) sales
-   , sum(ws_net_profit) profit
-   FROM
-     web_sales
-   , date_dim
-   , web_page
-   WHERE (ws_sold_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (ws_web_page_sk = wp_web_page_sk)
-   GROUP BY wp_web_page_sk
-)
-, wr AS (
-   SELECT
-     wp_web_page_sk
-   , sum(wr_return_amt) returns
-   , sum(wr_net_loss) profit_loss
-   FROM
-     web_returns
-   , date_dim
-   , web_page
-   WHERE (wr_returned_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (wr_web_page_sk = wp_web_page_sk)
-   GROUP BY wp_web_page_sk
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  channel
-, id
-, sum(sales) sales
-, sum(returns) returns
-, sum(profit) profit
-FROM
-  (
-   SELECT
-     'store channel' channel
-   , ss.s_store_sk id
-   , sales
-   , COALESCE(returns, 0) returns
-   , (profit - COALESCE(profit_loss, 0)) profit
-   FROM
-     ss
-   LEFT JOIN sr ON (ss.s_store_sk = sr.s_store_sk)
-UNION ALL    SELECT
-     'catalog channel' channel
-   , cs_call_center_sk id
-   , sales
-   , returns
-   , (profit - profit_loss) profit
-   FROM
-     cs
-   , cr
-UNION ALL    SELECT
-     'web channel' channel
-   , ws.wp_web_page_sk id
-   , sales
-   , COALESCE(returns, 0) returns
-   , (profit - COALESCE(profit_loss, 0)) profit
-   FROM
-     ws
-   LEFT JOIN wr ON (ws.wp_web_page_sk = wr.wp_web_page_sk)
-)  x
-GROUP BY ROLLUP (channel, id)
-ORDER BY channel ASC, id ASC, sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q78.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q78.sql
deleted file mode 100644
index 122a521490..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q78.sql
+++ /dev/null
@@ -1,76 +0,0 @@
--- at current, run q78 will get wrong result, still under fixing
-/*
-WITH
-  ws AS (
-   SELECT
-     d_year ws_sold_year
-   , ws_item_sk
-   , ws_bill_customer_sk ws_customer_sk
-   , sum(ws_quantity) ws_qty
-   , sum(ws_wholesale_cost) ws_wc
-   , sum(ws_sales_price) ws_sp
-   FROM
-     web_sales
-   LEFT JOIN web_returns ON (wr_order_number = ws_order_number)
-      AND (ws_item_sk = wr_item_sk)
-   INNER JOIN date_dim ON (ws_sold_date_sk = d_date_sk)
-   WHERE (wr_order_number IS NULL)
-   GROUP BY d_year, ws_item_sk, ws_bill_customer_sk
-)
-, cs AS (
-   SELECT
-     d_year cs_sold_year
-   , cs_item_sk
-   , cs_bill_customer_sk cs_customer_sk
-   , sum(cs_quantity) cs_qty
-   , sum(cs_wholesale_cost) cs_wc
-   , sum(cs_sales_price) cs_sp
-   FROM
-     catalog_sales
-   LEFT JOIN catalog_returns ON (cr_order_number = cs_order_number)
-      AND (cs_item_sk = cr_item_sk)
-   INNER JOIN date_dim ON (cs_sold_date_sk = d_date_sk)
-   WHERE (cr_order_number IS NULL)
-   GROUP BY d_year, cs_item_sk, cs_bill_customer_sk
-)
-, ss AS (
-   SELECT
-     d_year ss_sold_year
-   , ss_item_sk
-   , ss_customer_sk
-   , sum(ss_quantity) ss_qty
-   , sum(ss_wholesale_cost) ss_wc
-   , sum(ss_sales_price) ss_sp
-   FROM
-     store_sales
-   LEFT JOIN store_returns ON (sr_ticket_number = ss_ticket_number)
-      AND (ss_item_sk = sr_item_sk)
-   INNER JOIN date_dim ON (ss_sold_date_sk = d_date_sk)
-   WHERE (sr_ticket_number IS NULL)
-   GROUP BY d_year, ss_item_sk, ss_customer_sk
-)
-SELECT
-  ss_sold_year
-, ss_item_sk
-, ss_customer_sk
-, round((ss_qty / COALESCE((ws_qty + cs_qty), 1)), 2) ratio
-, ss_qty store_qty
-, ss_wc store_wholesale_cost
-, ss_sp store_sales_price
-, (COALESCE(ws_qty, 0) + COALESCE(cs_qty, 0)) other_chan_qty
-, (COALESCE(ws_wc, 0) + COALESCE(cs_wc, 0)) other_chan_wholesale_cost
-, (COALESCE(ws_sp, 0) + COALESCE(cs_sp, 0)) other_chan_sales_price
-FROM
-  ss
-LEFT JOIN ws ON (ws_sold_year = ss_sold_year)
-   AND (ws_item_sk = ss_item_sk)
-   AND (ws_customer_sk = ss_customer_sk)
-LEFT JOIN cs ON (cs_sold_year = ss_sold_year)
-   AND (cs_item_sk = cs_item_sk)
-   AND (cs_customer_sk = ss_customer_sk)
-WHERE (COALESCE(ws_qty, 0) > 0)
-   AND (COALESCE(cs_qty, 0) > 0)
-   AND (ss_sold_year = 2000)
-ORDER BY ss_sold_year ASC, ss_item_sk ASC, ss_customer_sk ASC, ss_qty DESC, ss_wc DESC, ss_sp DESC, other_chan_qty ASC, other_chan_wholesale_cost ASC, other_chan_sales_price ASC, round((ss_qty / COALESCE((ws_qty + cs_qty), 1)), 2) ASC
-LIMIT 100
-*/
\ No newline at end of file
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q79.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q79.sql
deleted file mode 100644
index 9af19ab004..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q79.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_last_name
-, c_first_name
-, substr(s_city, 1, 30)
-, ss_ticket_number
-, amt
-, profit
-FROM
-  (
-   SELECT
-     ss_ticket_number
-   , ss_customer_sk
-   , store.s_city
-   , sum(ss_coupon_amt) amt
-   , sum(ss_net_profit) profit
-   FROM
-     store_sales
-   , date_dim
-   , store
-   , household_demographics
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_store_sk = store.s_store_sk)
-      AND (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND ((household_demographics.hd_dep_count = 6)
-         OR (household_demographics.hd_vehicle_count > 2))
-      AND (date_dim.d_dow = 1)
-      AND (date_dim.d_year IN (1999   , (1999 + 1)   , (1999 + 2)))
-      AND (store.s_number_employees BETWEEN 200 AND 295)
-   GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, store.s_city
-)  ms
-, customer
-WHERE (ss_customer_sk = c_customer_sk)
-ORDER BY c_last_name ASC, c_first_name ASC, substr(s_city, 1, 30) ASC, profit ASC, ss_ticket_number, amt
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q80.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q80.sql
deleted file mode 100644
index 5d3e772023..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q80.sql
+++ /dev/null
@@ -1,106 +0,0 @@
-WITH
-  ssr AS (
-   SELECT
-     s_store_id store_id
-   , sum(ss_ext_sales_price) sales
-   , sum(COALESCE(sr_return_amt, 0)) returns
-   , sum((ss_net_profit - COALESCE(sr_net_loss, 0))) profit
-   FROM
-     store_sales
-   LEFT JOIN store_returns ON (ss_item_sk = sr_item_sk)
-      AND (ss_ticket_number = sr_ticket_number)
-   , date_dim
-   , store
-   , item
-   , promotion
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (CAST(d_date AS DATE) BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (ss_store_sk = s_store_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (i_current_price > 50)
-      AND (ss_promo_sk = p_promo_sk)
-      AND (p_channel_tv = 'N')
-   GROUP BY s_store_id
-)
-, csr AS (
-   SELECT
-     cp_catalog_page_id catalog_page_id
-   , sum(cs_ext_sales_price) sales
-   , sum(COALESCE(cr_return_amount, 0)) returns
-   , sum((cs_net_profit - COALESCE(cr_net_loss, 0))) profit
-   FROM
-     catalog_sales
-   LEFT JOIN catalog_returns ON (cs_item_sk = cr_item_sk)
-      AND (cs_order_number = cr_order_number)
-   , date_dim
-   , catalog_page
-   , item
-   , promotion
-   WHERE (cs_sold_date_sk = d_date_sk)
-      AND (CAST(d_date AS DATE) BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (cs_catalog_page_sk = cp_catalog_page_sk)
-      AND (cs_item_sk = i_item_sk)
-      AND (i_current_price > 50)
-      AND (cs_promo_sk = p_promo_sk)
-      AND (p_channel_tv = 'N')
-   GROUP BY cp_catalog_page_id
-)
-, wsr AS (
-   SELECT
-     web_site_id
-   , sum(ws_ext_sales_price) sales
-   , sum(COALESCE(wr_return_amt, 0)) returns
-   , sum((ws_net_profit - COALESCE(wr_net_loss, 0))) profit
-   FROM
-     web_sales
-   LEFT JOIN web_returns ON (ws_item_sk = wr_item_sk)
-      AND (ws_order_number = wr_order_number)
-   , date_dim
-   , web_site
-   , item
-   , promotion
-   WHERE (ws_sold_date_sk = d_date_sk)
-      AND (CAST(d_date AS DATE) BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (ws_web_site_sk = web_site_sk)
-      AND (ws_item_sk = i_item_sk)
-      AND (i_current_price > 50)
-      AND (ws_promo_sk = p_promo_sk)
-      AND (p_channel_tv = 'N')
-   GROUP BY web_site_id
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  channel
-, id
-, sum(sales) sales
-, sum(returns) returns
-, sum(profit) profit
-FROM
-  (
-   SELECT
-     'store channel' channel
-   , concat('store', store_id) id
-   , sales
-   , returns
-   , profit
-   FROM
-     ssr
-UNION ALL    SELECT
-     'catalog channel' channel
-   , concat('catalog_page', catalog_page_id) id
-   , sales
-   , returns
-   , profit
-   FROM
-     csr
-UNION ALL    SELECT
-     'web channel' channel
-   , concat('web_site', web_site_id) id
-   , sales
-   , returns
-   , profit
-   FROM
-     wsr
-)  x
-GROUP BY ROLLUP (channel, id)
-ORDER BY channel ASC, id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q81.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q81.sql
deleted file mode 100644
index 4ab02234d2..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q81.sql
+++ /dev/null
@@ -1,47 +0,0 @@
-WITH
-  customer_total_return AS (
-   SELECT
-     cr_returning_customer_sk ctr_customer_sk
-   , ca_state ctr_state
-   , sum(cr_return_amt_inc_tax) ctr_total_return
-   FROM
-     catalog_returns
-   , date_dim
-   , customer_address
-   WHERE (cr_returned_date_sk = d_date_sk)
-      AND (d_year = 2000)
-      AND (cr_returning_addr_sk = ca_address_sk)
-   GROUP BY cr_returning_customer_sk, ca_state
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_customer_id
-, c_salutation
-, c_first_name
-, c_last_name
-, ca_street_number
-, ca_street_name
-, ca_street_type
-, ca_suite_number
-, ca_city
-, ca_county
-, ca_state
-, ca_zip
-, ca_country
-, ca_gmt_offset
-, ca_location_type
-, ctr_total_return
-FROM
-  customer_total_return ctr1
-, customer_address
-, customer
-WHERE (ctr1.ctr_total_return > (
-      SELECT (avg(ctr_total_return) * 1.2)
-      FROM
-        customer_total_return ctr2
-      WHERE (ctr1.ctr_state = ctr2.ctr_state)
-   ))
-   AND (ca_address_sk = c_current_addr_sk)
-   AND (ca_state = 'GA')
-   AND (ctr1.ctr_customer_sk = c_customer_sk)
-ORDER BY c_customer_id ASC, c_salutation ASC, c_first_name ASC, c_last_name ASC, ca_street_number ASC, ca_street_name ASC, ca_street_type ASC, ca_suite_number ASC, ca_city ASC, ca_county ASC, ca_state ASC, ca_zip ASC, ca_country ASC, ca_gmt_offset ASC, ca_location_type ASC, ctr_total_return ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q82.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q82.sql
deleted file mode 100644
index 14a5daa817..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q82.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, i_item_desc
-, i_current_price
-FROM
-  item
-, inventory
-, date_dim
-, store_sales
-WHERE (i_current_price BETWEEN 62 AND (62 + 30))
-   AND (inv_item_sk = i_item_sk)
-   AND (d_date_sk = inv_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN CAST('2000-05-25' AS DATE) AND (CAST('2000-05-25' AS DATE) + INTERVAL  '60' DAY))
-   AND (i_manufact_id IN (129, 270, 821, 423))
-   AND (inv_quantity_on_hand BETWEEN 100 AND 500)
-   AND (ss_item_sk = i_item_sk)
-GROUP BY i_item_id, i_item_desc, i_current_price
-ORDER BY i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q83.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q83.sql
deleted file mode 100644
index 4b03e0cf22..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q83.sql
+++ /dev/null
@@ -1,87 +0,0 @@
-WITH
-  sr_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(sr_return_quantity) sr_item_qty
-   FROM
-     store_returns
-   , item
-   , date_dim
-   WHERE (sr_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq IN (
-         SELECT d_week_seq
-         FROM
-           date_dim
-         WHERE (d_date IN (CAST('2000-06-30' AS DATE)         , CAST('2000-09-27' AS DATE)         , CAST('2000-11-17' AS DATE)))
-      ))
-   ))
-      AND (sr_returned_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-, cr_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(cr_return_quantity) cr_item_qty
-   FROM
-     catalog_returns
-   , item
-   , date_dim
-   WHERE (cr_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq IN (
-         SELECT d_week_seq
-         FROM
-           date_dim
-         WHERE (d_date IN (CAST('2000-06-30' AS DATE)         , CAST('2000-09-27' AS DATE)         , CAST('2000-11-17' AS DATE)))
-      ))
-   ))
-      AND (cr_returned_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-, wr_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(wr_return_quantity) wr_item_qty
-   FROM
-     web_returns
-   , item
-   , date_dim
-   WHERE (wr_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq IN (
-         SELECT d_week_seq
-         FROM
-           date_dim
-         WHERE (d_date IN (CAST('2000-06-30' AS DATE)         , CAST('2000-09-27' AS DATE)         , CAST('2000-11-17' AS DATE)))
-      ))
-   ))
-      AND (wr_returned_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  sr_items.item_id
-, sr_item_qty
-, ((sr_item_qty / ((sr_item_qty + cr_item_qty) + wr_item_qty)) / 3.0) * 100 sr_dev
-, cr_item_qty
-, ((cr_item_qty / ((sr_item_qty + cr_item_qty) + wr_item_qty)) / 3.0) * 100 cr_dev
-, wr_item_qty
-, ((wr_item_qty / ((sr_item_qty + cr_item_qty) + wr_item_qty)) / 3.0) * 100 wr_dev
-, (((sr_item_qty + cr_item_qty) + wr_item_qty) / 3.00) average
-FROM
-  sr_items
-, cr_items
-, wr_items
-WHERE (sr_items.item_id = cr_items.item_id)
-   AND (sr_items.item_id = wr_items.item_id)
-ORDER BY sr_items.item_id ASC, sr_item_qty ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q84.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q84.sql
deleted file mode 100644
index 89daf682af..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q84.sql
+++ /dev/null
@@ -1,20 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_customer_id customer_id
-, concat(concat(c_last_name, ', '), c_first_name) customername
-FROM
-  customer
-, customer_address
-, customer_demographics
-, household_demographics
-, income_band
-, store_returns
-WHERE (ca_city = 'Edgewood')
-   AND (c_current_addr_sk = ca_address_sk)
-   AND (ib_lower_bound >= 38128)
-   AND (ib_upper_bound <= (38128 + 50000))
-   AND (ib_income_band_sk = hd_income_band_sk)
-   AND (cd_demo_sk = c_current_cdemo_sk)
-   AND (hd_demo_sk = c_current_hdemo_sk)
-   AND (sr_cdemo_sk = cd_demo_sk)
-ORDER BY c_customer_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q85.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q85.sql
deleted file mode 100644
index ff41d7b336..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q85.sql
+++ /dev/null
@@ -1,50 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  substr(r_reason_desc, 1, 20)
-, avg(ws_quantity)
-, avg(wr_refunded_cash)
-, avg(wr_fee)
-FROM
-  web_sales
-, web_returns
-, web_page
-, customer_demographics cd1
-, customer_demographics cd2
-, customer_address
-, date_dim
-, reason
-WHERE (ws_web_page_sk = wp_web_page_sk)
-   AND (ws_item_sk = wr_item_sk)
-   AND (ws_order_number = wr_order_number)
-   AND (ws_sold_date_sk = d_date_sk)
-   AND (d_year = 2000)
-   AND (cd1.cd_demo_sk = wr_refunded_cdemo_sk)
-   AND (cd2.cd_demo_sk = wr_returning_cdemo_sk)
-   AND (ca_address_sk = wr_refunded_addr_sk)
-   AND (r_reason_sk = wr_reason_sk)
-   AND (((cd1.cd_marital_status = 'M')
-         AND (cd1.cd_marital_status = cd2.cd_marital_status)
-         AND (cd1.cd_education_status = 'Advanced Degree')
-         AND (cd1.cd_education_status = cd2.cd_education_status)
-         AND (ws_sales_price BETWEEN 100.00 AND 150.00))
-      OR ((cd1.cd_marital_status = 'S')
-         AND (cd1.cd_marital_status = cd2.cd_marital_status)
-         AND (cd1.cd_education_status = 'College')
-         AND (cd1.cd_education_status = cd2.cd_education_status)
-         AND (ws_sales_price BETWEEN 50.00 AND 100.00))
-      OR ((cd1.cd_marital_status = 'W')
-         AND (cd1.cd_marital_status = cd2.cd_marital_status)
-         AND (cd1.cd_education_status = '2 yr Degree')
-         AND (cd1.cd_education_status = cd2.cd_education_status)
-         AND (ws_sales_price BETWEEN 150.00 AND 200.00)))
-   AND (((ca_country = 'United States')
-         AND (ca_state IN ('IN'      , 'OH'      , 'NJ'))
-         AND (ws_net_profit BETWEEN 100 AND 200))
-      OR ((ca_country = 'United States')
-         AND (ca_state IN ('WI'      , 'CT'      , 'KY'))
-         AND (ws_net_profit BETWEEN 150 AND 300))
-      OR ((ca_country = 'United States')
-         AND (ca_state IN ('LA'      , 'IA'      , 'AR'))
-         AND (ws_net_profit BETWEEN 50 AND 250)))
-GROUP BY r_reason_desc
-ORDER BY substr(r_reason_desc, 1, 20) ASC, avg(ws_quantity) ASC, avg(wr_refunded_cash) ASC, avg(wr_fee) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q86.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q86.sql
deleted file mode 100644
index f19b529d9f..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q86.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  sum(ws_net_paid) total_sum
-, i_category
-, i_class
-, (GROUPING (i_category) + GROUPING (i_class)) lochierarchy
-, rank() OVER (PARTITION BY (GROUPING (i_category) + GROUPING (i_class)), (CASE WHEN (GROUPING (i_class) = 0) THEN i_category END) ORDER BY sum(ws_net_paid) DESC) rank_within_parent
-FROM
-  web_sales
-, date_dim d1
-, item
-WHERE (d1.d_month_seq BETWEEN 1200 AND (1200 + 11))
-   AND (d1.d_date_sk = ws_sold_date_sk)
-   AND (i_item_sk = ws_item_sk)
-GROUP BY ROLLUP (i_category, i_class)
-ORDER BY lochierarchy DESC, (CASE WHEN (lochierarchy = 0) THEN i_category END) ASC, rank_within_parent ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q87.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q87.sql
deleted file mode 100644
index 09e41fc3d4..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q87.sql
+++ /dev/null
@@ -1,40 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ count(*)
-FROM
-  (
-(
-      SELECT DISTINCT
-        c_last_name
-      , c_first_name
-      , d_date
-      FROM
-        store_sales
-      , date_dim
-      , customer
-      WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-         AND (store_sales.ss_customer_sk = customer.c_customer_sk)
-         AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   ) EXCEPT (
-      SELECT DISTINCT
-        c_last_name
-      , c_first_name
-      , d_date
-      FROM
-        catalog_sales
-      , date_dim
-      , customer
-      WHERE (catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)
-         AND (catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)
-         AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   ) EXCEPT (
-      SELECT DISTINCT
-        c_last_name
-      , c_first_name
-      , d_date
-      FROM
-        web_sales
-      , date_dim
-      , customer
-      WHERE (web_sales.ws_sold_date_sk = date_dim.d_date_sk)
-         AND (web_sales.ws_bill_customer_sk = customer.c_customer_sk)
-         AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   ) )  cool_cust
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q88.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q88.sql
deleted file mode 100644
index 8104aaa04d..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q88.sql
+++ /dev/null
@@ -1,162 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  (
-   SELECT count(*) h8_30_to_9
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 8)
-      AND (time_dim.t_minute >= 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s1
-, (
-   SELECT count(*) h9_to_9_30
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 9)
-      AND (time_dim.t_minute < 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s2
-, (
-   SELECT count(*) h9_30_to_10
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 9)
-      AND (time_dim.t_minute >= 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s3
-, (
-   SELECT count(*) h10_to_10_30
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 10)
-      AND (time_dim.t_minute < 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s4
-, (
-   SELECT count(*) h10_30_to_11
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 10)
-      AND (time_dim.t_minute >= 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s5
-, (
-   SELECT count(*) h11_to_11_30
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 11)
-      AND (time_dim.t_minute < 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s6
-, (
-   SELECT count(*) h11_30_to_12
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 11)
-      AND (time_dim.t_minute >= 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s7
-, (
-   SELECT count(*) h12_to_12_30
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 12)
-      AND (time_dim.t_minute < 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s8
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q89.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q89.sql
deleted file mode 100644
index b852d0c5db..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q89.sql
+++ /dev/null
@@ -1,30 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ *
-FROM
-  (
-   SELECT
-     i_category
-   , i_class
-   , i_brand
-   , s_store_name
-   , s_company_name
-   , d_moy
-   , sum(ss_sales_price) sum_sales
-   , avg(sum(ss_sales_price)) OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name) avg_monthly_sales
-   FROM
-     item
-   , store_sales
-   , date_dim
-   , store
-   WHERE (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (d_year IN (1999))
-      AND (((i_category IN ('Books'         , 'Electronics'         , 'Sports'))
-            AND (i_class IN ('computers'         , 'stereo'         , 'football')))
-         OR ((i_category IN ('Men'         , 'Jewelry'         , 'Women'))
-            AND (i_class IN ('shirts'         , 'birdal'         , 'dresses'))))
-   GROUP BY i_category, i_class, i_brand, s_store_name, s_company_name, d_moy
-)  tmp1
-WHERE ((CASE WHEN (avg_monthly_sales <> 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1)
-ORDER BY (sum_sales - avg_monthly_sales) ASC, s_store_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q90.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q90.sql
deleted file mode 100644
index fc5df32b45..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q90.sql
+++ /dev/null
@@ -1,32 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ (amc / pmc) am_pm_ratio
-FROM
-  (
-   SELECT count(*) amc
-   FROM
-     web_sales
-   , household_demographics
-   , time_dim
-   , web_page
-   WHERE (ws_sold_time_sk = time_dim.t_time_sk)
-      AND (ws_ship_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ws_web_page_sk = web_page.wp_web_page_sk)
-      AND (time_dim.t_hour BETWEEN 8 AND (8 + 1))
-      AND (household_demographics.hd_dep_count = 6)
-      AND (web_page.wp_char_count BETWEEN 5000 AND 5200)
-)  at
-, (
-   SELECT count(*) pmc
-   FROM
-     web_sales
-   , household_demographics
-   , time_dim
-   , web_page
-   WHERE (ws_sold_time_sk = time_dim.t_time_sk)
-      AND (ws_ship_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ws_web_page_sk = web_page.wp_web_page_sk)
-      AND (time_dim.t_hour BETWEEN 19 AND (19 + 1))
-      AND (household_demographics.hd_dep_count = 6)
-      AND (web_page.wp_char_count BETWEEN 5000 AND 5200)
-)  pt
-ORDER BY am_pm_ratio ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q91.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q91.sql
deleted file mode 100644
index c14727116e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q91.sql
+++ /dev/null
@@ -1,29 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  cc_call_center_id Call_Center
-, cc_name Call_Center_Name
-, cc_manager Manager
-, sum(cr_net_loss) Returns_Loss
-FROM
-  call_center
-, catalog_returns
-, date_dim
-, customer
-, customer_address
-, customer_demographics
-, household_demographics
-WHERE (cr_call_center_sk = cc_call_center_sk)
-   AND (cr_returned_date_sk = d_date_sk)
-   AND (cr_returning_customer_sk = c_customer_sk)
-   AND (cd_demo_sk = c_current_cdemo_sk)
-   AND (hd_demo_sk = c_current_hdemo_sk)
-   AND (ca_address_sk = c_current_addr_sk)
-   AND (d_year = 1998)
-   AND (d_moy = 11)
-   AND (((cd_marital_status = 'M')
-         AND (cd_education_status = 'Unknown'))
-      OR ((cd_marital_status = 'W')
-         AND (cd_education_status = 'Advanced Degree')))
-   AND (hd_buy_potential LIKE 'Unknown%')
-   AND (ca_gmt_offset = -7)
-GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status
-ORDER BY sum(cr_net_loss) DESC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q92.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q92.sql
deleted file mode 100644
index a7f5a05d56..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q92.sql
+++ /dev/null
@@ -1,20 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ sum(ws_ext_discount_amt) 'Excess Discount Amount'
-FROM
-  web_sales
-, item
-, date_dim
-WHERE (i_manufact_id = 350)
-   AND (i_item_sk = ws_item_sk)
-   AND (d_date BETWEEN CAST('2000-01-27' AS DATE) AND (CAST('2000-01-27' AS DATE) + INTERVAL  '90' DAY))
-   AND (d_date_sk = ws_sold_date_sk)
-   AND (ws_ext_discount_amt > (
-      SELECT (1.3 * avg(ws_ext_discount_amt))
-      FROM
-        web_sales
-      , date_dim
-      WHERE (ws_item_sk = i_item_sk)
-         AND (d_date BETWEEN CAST('2000-01-27' AS DATE) AND (CAST('2000-01-27' AS DATE) + INTERVAL  '90' DAY))
-         AND (d_date_sk = ws_sold_date_sk)
-   ))
-ORDER BY sum(ws_ext_discount_amt) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q93.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q93.sql
deleted file mode 100644
index bda6c3841e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q93.sql
+++ /dev/null
@@ -1,21 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  ss_customer_sk
-, sum(act_sales) sumsales
-FROM
-  (
-   SELECT
-     ss_item_sk
-   , ss_ticket_number
-   , ss_customer_sk
-   , (CASE WHEN (sr_return_quantity IS NOT NULL) THEN ((ss_quantity - sr_return_quantity) * ss_sales_price) ELSE (ss_quantity * ss_sales_price) END) act_sales
-   FROM
-     store_sales
-   LEFT JOIN store_returns ON (sr_item_sk = ss_item_sk)
-      AND (sr_ticket_number = ss_ticket_number)
-   , reason
-   WHERE (sr_reason_sk = r_reason_sk)
-      AND (r_reason_desc = 'reason 28')
-)  t
-GROUP BY ss_customer_sk
-ORDER BY sumsales ASC, ss_customer_sk ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q94.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q94.sql
deleted file mode 100644
index d41deca46c..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q94.sql
+++ /dev/null
@@ -1,30 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  count(DISTINCT ws_order_number) 'order count'
-, sum(ws_ext_ship_cost) 'total shipping cost'
-, sum(ws_net_profit) 'total net profit'
-FROM
-  web_sales ws1
-, date_dim
-, customer_address
-, web_site
-WHERE (d_date BETWEEN CAST('1999-2-01' AS DATE) AND (CAST('1999-2-01' AS DATE) + INTERVAL  '60' DAY))
-   AND (ws1.ws_ship_date_sk = d_date_sk)
-   AND (ws1.ws_ship_addr_sk = ca_address_sk)
-   AND (ca_state = 'IL')
-   AND (ws1.ws_web_site_sk = web_site_sk)
-   AND (web_company_name = 'pri')
-   AND (EXISTS (
-   SELECT *
-   FROM
-     web_sales ws2
-   WHERE (ws1.ws_order_number = ws2.ws_order_number)
-      AND (ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
-))
-   AND (NOT (EXISTS (
-   SELECT *
-   FROM
-     web_returns wr1
-   WHERE (ws1.ws_order_number = wr1.wr_order_number)
-)))
-ORDER BY count(DISTINCT ws_order_number) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q95.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q95.sql
deleted file mode 100644
index 1beb8a09f1..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q95.sql
+++ /dev/null
@@ -1,41 +0,0 @@
-WITH
-  ws_wh AS (
-   SELECT
-     ws1.ws_order_number
-   , ws1.ws_warehouse_sk wh1
-   , ws2.ws_warehouse_sk wh2
-   FROM
-     web_sales ws1
-   , web_sales ws2
-   WHERE (ws1.ws_order_number = ws2.ws_order_number)
-      AND (ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  count(DISTINCT ws_order_number) 'order count'
-, sum(ws_ext_ship_cost) 'total shipping cost'
-, sum(ws_net_profit) 'total net profit'
-FROM
-  web_sales ws1
-, date_dim
-, customer_address
-, web_site
-WHERE (CAST(d_date AS DATE) BETWEEN CAST('1999-2-01' AS DATE) AND (CAST('1999-2-01' AS DATE) + INTERVAL  '60' DAY))
-   AND (ws1.ws_ship_date_sk = d_date_sk)
-   AND (ws1.ws_ship_addr_sk = ca_address_sk)
-   AND (ca_state = 'IL')
-   AND (ws1.ws_web_site_sk = web_site_sk)
-   AND (web_company_name = 'pri')
-   AND (ws1.ws_order_number IN (
-   SELECT ws_order_number
-   FROM
-     ws_wh
-))
-   AND (ws1.ws_order_number IN (
-   SELECT wr_order_number
-   FROM
-     web_returns
-   , ws_wh
-   WHERE (wr_order_number = ws_wh.ws_order_number)
-))
-ORDER BY count(DISTINCT ws_order_number) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q96.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q96.sql
deleted file mode 100644
index 0a904a146b..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q96.sql
+++ /dev/null
@@ -1,15 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ count(*)
-FROM
-  store_sales
-, household_demographics
-, time_dim
-, store
-WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-   AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-   AND (ss_store_sk = s_store_sk)
-   AND (time_dim.t_hour = 20)
-   AND (time_dim.t_minute >= 30)
-   AND (household_demographics.hd_dep_count = 7)
-   AND (store.s_store_name = 'ese')
-ORDER BY count(*) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q97.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q97.sql
deleted file mode 100644
index 37ece5aeec..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q97.sql
+++ /dev/null
@@ -1,35 +0,0 @@
-WITH
-  ssci AS (
-   SELECT
-     ss_customer_sk customer_sk
-   , ss_item_sk item_sk
-   FROM
-     store_sales
-   , date_dim
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   GROUP BY ss_customer_sk, ss_item_sk
-)
-, csci AS (
-   SELECT
-     cs_bill_customer_sk customer_sk
-   , cs_item_sk item_sk
-   FROM
-     catalog_sales
-   , date_dim
-   WHERE (cs_sold_date_sk = d_date_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   GROUP BY cs_bill_customer_sk, cs_item_sk
-)
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  sum((CASE WHEN (ssci.customer_sk IS NOT NULL)
-   AND (csci.customer_sk IS NULL) THEN 1 ELSE 0 END)) store_only
-, sum((CASE WHEN (ssci.customer_sk IS NULL)
-   AND (csci.customer_sk IS NOT NULL) THEN 1 ELSE 0 END)) catalog_only
-, sum((CASE WHEN (ssci.customer_sk IS NOT NULL)
-   AND (csci.customer_sk IS NOT NULL) THEN 1 ELSE 0 END)) store_and_catalog
-FROM
-  ssci
-FULL JOIN csci ON (ssci.customer_sk = csci.customer_sk)
-   AND (ssci.item_sk = csci.item_sk)
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q98.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q98.sql
deleted file mode 100644
index 06cd393e40..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q98.sql
+++ /dev/null
@@ -1,18 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  i_item_id
-, i_item_desc
-, i_category
-, i_class
-, i_current_price
-, sum(ss_ext_sales_price) itemrevenue
-, ((sum(ss_ext_sales_price) * 100) / sum(sum(ss_ext_sales_price)) OVER (PARTITION BY i_class)) revenueratio
-FROM
-  store_sales
-, item
-, date_dim
-WHERE (ss_item_sk = i_item_sk)
-   AND (i_category IN ('Sports', 'Books', 'Home'))
-   AND (ss_sold_date_sk = d_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN CAST('1999-02-22' AS DATE) AND (CAST('1999-02-22' AS DATE) + INTERVAL  '30' DAY))
-GROUP BY i_item_id, i_item_desc, i_category, i_class, i_current_price
-ORDER BY i_category ASC, i_class ASC, i_item_id ASC, i_item_desc ASC, revenueratio ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q99.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q99.sql
deleted file mode 100644
index 4fa75e019f..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/pipeline_q99.sql
+++ /dev/null
@@ -1,26 +0,0 @@
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  substr(w_warehouse_name, 1, 20)
-, sm_type
-, cc_name
-, sum((CASE WHEN ((cs_ship_date_sk - cs_sold_date_sk) <= 30) THEN 1 ELSE 0 END)) '30 days'
-, sum((CASE WHEN ((cs_ship_date_sk - cs_sold_date_sk) > 30)
-   AND ((cs_ship_date_sk - cs_sold_date_sk) <= 60) THEN 1 ELSE 0 END)) '31-60 days'
-, sum((CASE WHEN ((cs_ship_date_sk - cs_sold_date_sk) > 60)
-   AND ((cs_ship_date_sk - cs_sold_date_sk) <= 90) THEN 1 ELSE 0 END)) '61-90 days'
-, sum((CASE WHEN ((cs_ship_date_sk - cs_sold_date_sk) > 90)
-   AND ((cs_ship_date_sk - cs_sold_date_sk) <= 120) THEN 1 ELSE 0 END)) '91-120 days'
-, sum((CASE WHEN ((cs_ship_date_sk - cs_sold_date_sk) > 120) THEN 1 ELSE 0 END)) '>120 days'
-FROM
-  catalog_sales
-, warehouse
-, ship_mode
-, call_center
-, date_dim
-WHERE (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   AND (cs_ship_date_sk = d_date_sk)
-   AND (cs_warehouse_sk = w_warehouse_sk)
-   AND (cs_ship_mode_sk = sm_ship_mode_sk)
-   AND (cs_call_center_sk = cc_call_center_sk)
-GROUP BY substr(w_warehouse_name, 1, 20), sm_type, cc_name
-ORDER BY substr(w_warehouse_name, 1, 20) ASC, sm_type ASC, cc_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q01.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q01.sql
deleted file mode 100644
index 91f0a0acf6..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q01.sql
+++ /dev/null
@@ -1,29 +0,0 @@
-WITH
-  customer_total_return AS (
-   SELECT
-     sr_customer_sk ctr_customer_sk
-   , sr_store_sk ctr_store_sk
-   , sum(sr_return_amt) ctr_total_return
-   FROM
-     store_returns
-   , date_dim
-   WHERE (sr_returned_date_sk = d_date_sk)
-      AND (d_year = 2000)
-   GROUP BY sr_customer_sk, sr_store_sk
-)
-SELECT c_customer_id
-FROM
-  customer_total_return ctr1
-, store
-, customer
-WHERE (ctr1.ctr_total_return > (
-      SELECT (avg(ctr_total_return) * 1.2)
-      FROM
-        customer_total_return ctr2
-      WHERE (ctr1.ctr_store_sk = ctr2.ctr_store_sk)
-   ))
-   AND (s_store_sk = ctr1.ctr_store_sk)
-   AND (s_state = 'TN')
-   AND (ctr1.ctr_customer_sk = c_customer_sk)
-ORDER BY c_customer_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q02.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q02.sql
deleted file mode 100644
index 8a8df226c1..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q02.sql
+++ /dev/null
@@ -1,80 +0,0 @@
-WITH
-  wscs AS (
-   SELECT
-     sold_date_sk
-   , sales_price
-   FROM
-     (
-      SELECT
-        ws_sold_date_sk sold_date_sk
-      , ws_ext_sales_price sales_price
-      FROM
-        web_sales
-   ) x
-UNION ALL (
-      SELECT
-        cs_sold_date_sk sold_date_sk
-      , cs_ext_sales_price sales_price
-      FROM
-        catalog_sales
-   ) )
-, wswscs AS (
-   SELECT
-     d_week_seq
-   , sum((CASE WHEN (d_day_name = 'Sunday') THEN sales_price ELSE null END)) sun_sales
-   , sum((CASE WHEN (d_day_name = 'Monday') THEN sales_price ELSE null END)) mon_sales
-   , sum((CASE WHEN (d_day_name = 'Tuesday') THEN sales_price ELSE null END)) tue_sales
-   , sum((CASE WHEN (d_day_name = 'Wednesday') THEN sales_price ELSE null END)) wed_sales
-   , sum((CASE WHEN (d_day_name = 'Thursday') THEN sales_price ELSE null END)) thu_sales
-   , sum((CASE WHEN (d_day_name = 'Friday') THEN sales_price ELSE null END)) fri_sales
-   , sum((CASE WHEN (d_day_name = 'Saturday') THEN sales_price ELSE null END)) sat_sales
-   FROM
-     wscs
-   , date_dim
-   WHERE (d_date_sk = sold_date_sk)
-   GROUP BY d_week_seq
-)
-SELECT
-  d_week_seq1
-, round((sun_sales1 / sun_sales2), 2)
-, round((mon_sales1 / mon_sales2), 2)
-, round((tue_sales1 / tue_sales2), 2)
-, round((wed_sales1 / wed_sales2), 2)
-, round((thu_sales1 / thu_sales2), 2)
-, round((fri_sales1 / fri_sales2), 2)
-, round((sat_sales1 / sat_sales2), 2)
-FROM
-  (
-   SELECT
-     wswscs.d_week_seq d_week_seq1
-   , sun_sales sun_sales1
-   , mon_sales mon_sales1
-   , tue_sales tue_sales1
-   , wed_sales wed_sales1
-   , thu_sales thu_sales1
-   , fri_sales fri_sales1
-   , sat_sales sat_sales1
-   FROM
-     wswscs
-   , date_dim
-   WHERE (date_dim.d_week_seq = wswscs.d_week_seq)
-      AND (d_year = 2001)
-)  y
-, (
-   SELECT
-     wswscs.d_week_seq d_week_seq2
-   , sun_sales sun_sales2
-   , mon_sales mon_sales2
-   , tue_sales tue_sales2
-   , wed_sales wed_sales2
-   , thu_sales thu_sales2
-   , fri_sales fri_sales2
-   , sat_sales sat_sales2
-   FROM
-     wswscs
-   , date_dim
-   WHERE (date_dim.d_week_seq = wswscs.d_week_seq)
-      AND (d_year = (2001 + 1))
-)  z
-WHERE (d_week_seq1 = (d_week_seq2 - 53))
-ORDER BY d_week_seq1 ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q03.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q03.sql
deleted file mode 100644
index b75c5fb66e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q03.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-SELECT
-  dt.d_year
-, item.i_brand_id brand_id
-, item.i_brand brand
-, sum(ss_ext_sales_price) sum_agg
-FROM
-  date_dim dt
-, store_sales
-, item
-WHERE (dt.d_date_sk = store_sales.ss_sold_date_sk)
-   AND (store_sales.ss_item_sk = item.i_item_sk)
-   AND (item.i_manufact_id = 128)
-   AND (dt.d_moy = 11)
-GROUP BY dt.d_year, item.i_brand, item.i_brand_id
-ORDER BY dt.d_year ASC, sum_agg DESC, brand_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q04.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q04.sql
deleted file mode 100644
index e1c9f82677..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q04.sql
+++ /dev/null
@@ -1,93 +0,0 @@
-WITH
-  year_total AS (
-   SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , c_preferred_cust_flag customer_preferred_cust_flag
-   , c_birth_country customer_birth_country
-   , c_login customer_login
-   , c_email_address customer_email_address
-   , d_year dyear
-   , sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2)) year_total
-   , 's' sale_type
-   FROM
-     customer
-   , store_sales
-   , date_dim
-   WHERE (c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-   GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year
-UNION ALL    SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , c_preferred_cust_flag customer_preferred_cust_flag
-   , c_birth_country customer_birth_country
-   , c_login customer_login
-   , c_email_address customer_email_address
-   , d_year dyear
-   , sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2)) year_total
-   , 'c' sale_type
-   FROM
-     customer
-   , catalog_sales
-   , date_dim
-   WHERE (c_customer_sk = cs_bill_customer_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-   GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year
-UNION ALL    SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , c_preferred_cust_flag customer_preferred_cust_flag
-   , c_birth_country customer_birth_country
-   , c_login customer_login
-   , c_email_address customer_email_address
-   , d_year dyear
-   , sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2)) year_total
-   , 'w' sale_type
-   FROM
-     customer
-   , web_sales
-   , date_dim
-   WHERE (c_customer_sk = ws_bill_customer_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-   GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year
-)
-SELECT
-  t_s_secyear.customer_id
-, t_s_secyear.customer_first_name
-, t_s_secyear.customer_last_name
-, t_s_secyear.customer_preferred_cust_flag
-FROM
-  year_total t_s_firstyear
-, year_total t_s_secyear
-, year_total t_c_firstyear
-, year_total t_c_secyear
-, year_total t_w_firstyear
-, year_total t_w_secyear
-WHERE (t_s_secyear.customer_id = t_s_firstyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_c_secyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_c_firstyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_firstyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_secyear.customer_id)
-   AND (t_s_firstyear.sale_type = 's')
-   AND (t_c_firstyear.sale_type = 'c')
-   AND (t_w_firstyear.sale_type = 'w')
-   AND (t_s_secyear.sale_type = 's')
-   AND (t_c_secyear.sale_type = 'c')
-   AND (t_w_secyear.sale_type = 'w')
-   AND (t_s_firstyear.dyear = 2001)
-   AND (t_s_secyear.dyear = (2001 + 1))
-   AND (t_c_firstyear.dyear = 2001)
-   AND (t_c_secyear.dyear = (2001 + 1))
-   AND (t_w_firstyear.dyear = 2001)
-   AND (t_w_secyear.dyear = (2001 + 1))
-   AND (t_s_firstyear.year_total > 0)
-   AND (t_c_firstyear.year_total > 0)
-   AND (t_w_firstyear.year_total > 0)
-   AND ((CASE WHEN (t_c_firstyear.year_total > 0) THEN (t_c_secyear.year_total / t_c_firstyear.year_total) ELSE null END) > (CASE WHEN (t_s_firstyear.year_total > 0) THEN (t_s_secyear.year_total / t_s_firstyear.year_total) ELSE null END))
-   AND ((CASE WHEN (t_c_firstyear.year_total > 0) THEN (t_c_secyear.year_total / t_c_firstyear.year_total) ELSE null END) > (CASE WHEN (t_w_firstyear.year_total > 0) THEN (t_w_secyear.year_total / t_w_firstyear.year_total) ELSE null END))
-ORDER BY t_s_secyear.customer_id ASC, t_s_secyear.customer_first_name ASC, t_s_secyear.customer_last_name ASC, t_s_secyear.customer_preferred_cust_flag ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q05.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q05.sql
deleted file mode 100644
index c11dc37c68..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q05.sql
+++ /dev/null
@@ -1,144 +0,0 @@
-WITH
-  ssr AS (
-   SELECT
-     s_store_id
-   , sum(sales_price) sales
-   , sum(profit) profit
-   , sum(return_amt) returns
-   , sum(net_loss) profit_loss
-   FROM
-     (
-      SELECT
-        ss_store_sk store_sk
-      , ss_sold_date_sk date_sk
-      , ss_ext_sales_price sales_price
-      , ss_net_profit profit
-      , CAST(0 AS DECIMALV3(7,2)) return_amt
-      , CAST(0 AS DECIMALV3(7,2)) net_loss
-      FROM
-        store_sales
-UNION ALL       SELECT
-        sr_store_sk store_sk
-      , sr_returned_date_sk date_sk
-      , CAST(0 AS DECIMALV3(7,2)) sales_price
-      , CAST(0 AS DECIMALV3(7,2)) profit
-      , sr_return_amt return_amt
-      , sr_net_loss net_loss
-      FROM
-        store_returns
-   )  salesreturns
-   , date_dim
-   , store
-   WHERE (date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '14' DAY))
-      AND (store_sk = s_store_sk)
-   GROUP BY s_store_id
-)
-, csr AS (
-   SELECT
-     cp_catalog_page_id
-   , sum(sales_price) sales
-   , sum(profit) profit
-   , sum(return_amt) returns
-   , sum(net_loss) profit_loss
-   FROM
-     (
-      SELECT
-        cs_catalog_page_sk page_sk
-      , cs_sold_date_sk date_sk
-      , cs_ext_sales_price sales_price
-      , cs_net_profit profit
-      , CAST(0 AS DECIMALV3(7,2)) return_amt
-      , CAST(0 AS DECIMALV3(7,2)) net_loss
-      FROM
-        catalog_sales
-UNION ALL       SELECT
-        cr_catalog_page_sk page_sk
-      , cr_returned_date_sk date_sk
-      , CAST(0 AS DECIMALV3(7,2)) sales_price
-      , CAST(0 AS DECIMALV3(7,2)) profit
-      , cr_return_amount return_amt
-      , cr_net_loss net_loss
-      FROM
-        catalog_returns
-   )  salesreturns
-   , date_dim
-   , catalog_page
-   WHERE (date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '14' DAY))
-      AND (page_sk = cp_catalog_page_sk)
-   GROUP BY cp_catalog_page_id
-)
-, wsr AS (
-   SELECT
-     web_site_id
-   , sum(sales_price) sales
-   , sum(profit) profit
-   , sum(return_amt) returns
-   , sum(net_loss) profit_loss
-   FROM
-     (
-      SELECT
-        ws_web_site_sk wsr_web_site_sk
-      , ws_sold_date_sk date_sk
-      , ws_ext_sales_price sales_price
-      , ws_net_profit profit
-      , CAST(0 AS DECIMALV3(7,2)) return_amt
-      , CAST(0 AS DECIMALV3(7,2)) net_loss
-      FROM
-        web_sales
-UNION ALL       SELECT
-        ws_web_site_sk wsr_web_site_sk
-      , wr_returned_date_sk date_sk
-      , CAST(0 AS DECIMALV3(7,2)) sales_price
-      , CAST(0 AS DECIMALV3(7,2)) profit
-      , wr_return_amt return_amt
-      , wr_net_loss net_loss
-      FROM
-        web_returns
-      LEFT JOIN web_sales ON (wr_item_sk = ws_item_sk)
-         AND (wr_order_number = ws_order_number)
-   )  salesreturns
-   , date_dim
-   , web_site
-   WHERE (date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '14' DAY))
-      AND (wsr_web_site_sk = web_site_sk)
-   GROUP BY web_site_id
-)
-SELECT
-  channel
-, id
-, sum(sales) sales
-, sum(returns) returns
-, sum(profit) profit
-FROM
-  (
-   SELECT
-     'store channel' channel
-   , concat('store', s_store_id) id
-   , sales
-   , returns
-   , (profit - profit_loss) profit
-   FROM
-     ssr
-UNION ALL    SELECT
-     'catalog channel' channel
-   , concat('catalog_page', cp_catalog_page_id) id
-   , sales
-   , returns
-   , (profit - profit_loss) profit
-   FROM
-     csr
-UNION ALL    SELECT
-     'web channel' channel
-   , concat('web_site', web_site_id) id
-   , sales
-   , returns
-   , (profit - profit_loss) profit
-   FROM
-     wsr
-)  x
-GROUP BY ROLLUP (channel, id)
-ORDER BY channel ASC, id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q06.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q06.sql
deleted file mode 100644
index 82ade9863c..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q06.sql
+++ /dev/null
@@ -1,31 +0,0 @@
---- takes over 30 minutes on travis to complete
-SELECT
-  a.ca_state STATE
-, count(*) cnt
-FROM
-  customer_address a
-, customer c
-, store_sales s
-, date_dim d
-, item i
-WHERE (a.ca_address_sk = c.c_current_addr_sk)
-   AND (c.c_customer_sk = s.ss_customer_sk)
-   AND (s.ss_sold_date_sk = d.d_date_sk)
-   AND (s.ss_item_sk = i.i_item_sk)
-   AND (d.d_month_seq = (
-      SELECT DISTINCT d_month_seq
-      FROM
-        date_dim
-      WHERE (d_year = 2001)
-         AND (d_moy = 1)
-   ))
-   AND (i.i_current_price > (1.2 * (
-         SELECT avg(j.i_current_price)
-         FROM
-           item j
-         WHERE (j.i_category = i.i_category)
-      )))
-GROUP BY a.ca_state
-HAVING (count(*) >= 10)
-ORDER BY cnt ASC, a.ca_state ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q07.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q07.sql
deleted file mode 100644
index 39b143026d..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q07.sql
+++ /dev/null
@@ -1,25 +0,0 @@
-SELECT
-  i_item_id
-, avg(ss_quantity) agg1
-, avg(ss_list_price) agg2
-, avg(ss_coupon_amt) agg3
-, avg(ss_sales_price) agg4
-FROM
-  store_sales
-, customer_demographics
-, date_dim
-, item
-, promotion
-WHERE (ss_sold_date_sk = d_date_sk)
-   AND (ss_item_sk = i_item_sk)
-   AND (ss_cdemo_sk = cd_demo_sk)
-   AND (ss_promo_sk = p_promo_sk)
-   AND (cd_gender = 'M')
-   AND (cd_marital_status = 'S')
-   AND (cd_education_status = 'College')
-   AND ((p_channel_email = 'N')
-      OR (p_channel_event = 'N'))
-   AND (d_year = 2000)
-GROUP BY i_item_id
-ORDER BY i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q08.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q08.sql
deleted file mode 100644
index c973d213eb..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q08.sql
+++ /dev/null
@@ -1,441 +0,0 @@
-SELECT
-  s_store_name
-, sum(ss_net_profit)
-FROM
-  store_sales
-, date_dim
-, store
-, (
-   SELECT ca_zip
-   FROM
-     (
-(
-         SELECT substr(ca_zip, 1, 5) ca_zip
-         FROM
-           customer_address
-         WHERE (substr(ca_zip, 1, 5) IN (
-                '24128'
-              , '57834'
-              , '13354'
-              , '15734'
-              , '78668'
-              , '76232'
-              , '62878'
-              , '45375'
-              , '63435'
-              , '22245'
-              , '65084'
-              , '49130'
-              , '40558'
-              , '25733'
-              , '15798'
-              , '87816'
-              , '81096'
-              , '56458'
-              , '35474'
-              , '27156'
-              , '83926'
-              , '18840'
-              , '28286'
-              , '24676'
-              , '37930'
-              , '77556'
-              , '27700'
-              , '45266'
-              , '94627'
-              , '62971'
-              , '20548'
-              , '23470'
-              , '47305'
-              , '53535'
-              , '21337'
-              , '26231'
-              , '50412'
-              , '69399'
-              , '17879'
-              , '51622'
-              , '43848'
-              , '21195'
-              , '83921'
-              , '15559'
-              , '67853'
-              , '15126'
-              , '16021'
-              , '26233'
-              , '53268'
-              , '10567'
-              , '91137'
-              , '76107'
-              , '11101'
-              , '59166'
-              , '38415'
-              , '61265'
-              , '71954'
-              , '15371'
-              , '11928'
-              , '15455'
-              , '98294'
-              , '68309'
-              , '69913'
-              , '59402'
-              , '58263'
-              , '25782'
-              , '18119'
-              , '35942'
-              , '33282'
-              , '42029'
-              , '17920'
-              , '98359'
-              , '15882'
-              , '45721'
-              , '60279'
-              , '18426'
-              , '64544'
-              , '25631'
-              , '43933'
-              , '37125'
-              , '98235'
-              , '10336'
-              , '24610'
-              , '68101'
-              , '56240'
-              , '40081'
-              , '86379'
-              , '44165'
-              , '33515'
-              , '88190'
-              , '84093'
-              , '27068'
-              , '99076'
-              , '36634'
-              , '50308'
-              , '28577'
-              , '39736'
-              , '33786'
-              , '71286'
-              , '26859'
-              , '55565'
-              , '98569'
-              , '70738'
-              , '19736'
-              , '64457'
-              , '17183'
-              , '28915'
-              , '26653'
-              , '58058'
-              , '89091'
-              , '54601'
-              , '24206'
-              , '14328'
-              , '55253'
-              , '82136'
-              , '67897'
-              , '56529'
-              , '72305'
-              , '67473'
-              , '62377'
-              , '22752'
-              , '57647'
-              , '62496'
-              , '41918'
-              , '36233'
-              , '86284'
-              , '54917'
-              , '22152'
-              , '19515'
-              , '63837'
-              , '18376'
-              , '42961'
-              , '10144'
-              , '36495'
-              , '58078'
-              , '38607'
-              , '91110'
-              , '64147'
-              , '19430'
-              , '17043'
-              , '45200'
-              , '63981'
-              , '48425'
-              , '22351'
-              , '30010'
-              , '21756'
-              , '14922'
-              , '14663'
-              , '77191'
-              , '60099'
-              , '29741'
-              , '36420'
-              , '21076'
-              , '91393'
-              , '28810'
-              , '96765'
-              , '23006'
-              , '18799'
-              , '49156'
-              , '98025'
-              , '23932'
-              , '67467'
-              , '30450'
-              , '50298'
-              , '29178'
-              , '89360'
-              , '32754'
-              , '63089'
-              , '87501'
-              , '87343'
-              , '29839'
-              , '30903'
-              , '81019'
-              , '18652'
-              , '73273'
-              , '25989'
-              , '20260'
-              , '68893'
-              , '53179'
-              , '30469'
-              , '28898'
-              , '31671'
-              , '24996'
-              , '18767'
-              , '64034'
-              , '91068'
-              , '51798'
-              , '51200'
-              , '63193'
-              , '39516'
-              , '72550'
-              , '72325'
-              , '51211'
-              , '23968'
-              , '86057'
-              , '10390'
-              , '85816'
-              , '45692'
-              , '65164'
-              , '21309'
-              , '18845'
-              , '68621'
-              , '92712'
-              , '68880'
-              , '90257'
-              , '47770'
-              , '13955'
-              , '70466'
-              , '21286'
-              , '67875'
-              , '82636'
-              , '36446'
-              , '79994'
-              , '72823'
-              , '40162'
-              , '41367'
-              , '41766'
-              , '22437'
-              , '58470'
-              , '11356'
-              , '76638'
-              , '68806'
-              , '25280'
-              , '67301'
-              , '73650'
-              , '86198'
-              , '16725'
-              , '38935'
-              , '13394'
-              , '61810'
-              , '81312'
-              , '15146'
-              , '71791'
-              , '31016'
-              , '72013'
-              , '37126'
-              , '22744'
-              , '73134'
-              , '70372'
-              , '30431'
-              , '39192'
-              , '35850'
-              , '56571'
-              , '67030'
-              , '22461'
-              , '88424'
-              , '88086'
-              , '14060'
-              , '40604'
-              , '19512'
-              , '72175'
-              , '51649'
-              , '19505'
-              , '24317'
-              , '13375'
-              , '81426'
-              , '18270'
-              , '72425'
-              , '45748'
-              , '55307'
-              , '53672'
-              , '52867'
-              , '56575'
-              , '39127'
-              , '30625'
-              , '10445'
-              , '39972'
-              , '74351'
-              , '26065'
-              , '83849'
-              , '42666'
-              , '96976'
-              , '68786'
-              , '77721'
-              , '68908'
-              , '66864'
-              , '63792'
-              , '51650'
-              , '31029'
-              , '26689'
-              , '66708'
-              , '11376'
-              , '20004'
-              , '31880'
-              , '96451'
-              , '41248'
-              , '94898'
-              , '18383'
-              , '60576'
-              , '38193'
-              , '48583'
-              , '13595'
-              , '76614'
-              , '24671'
-              , '46820'
-              , '82276'
-              , '10516'
-              , '11634'
-              , '45549'
-              , '88885'
-              , '18842'
-              , '90225'
-              , '18906'
-              , '13376'
-              , '84935'
-              , '78890'
-              , '58943'
-              , '15765'
-              , '50016'
-              , '69035'
-              , '49448'
-              , '39371'
-              , '41368'
-              , '33123'
-              , '83144'
-              , '14089'
-              , '94945'
-              , '73241'
-              , '19769'
-              , '47537'
-              , '38122'
-              , '28587'
-              , '76698'
-              , '22927'
-              , '56616'
-              , '34425'
-              , '96576'
-              , '78567'
-              , '97789'
-              , '94983'
-              , '79077'
-              , '57855'
-              , '97189'
-              , '46081'
-              , '48033'
-              , '19849'
-              , '28488'
-              , '28545'
-              , '72151'
-              , '69952'
-              , '43285'
-              , '26105'
-              , '76231'
-              , '15723'
-              , '25486'
-              , '39861'
-              , '83933'
-              , '75691'
-              , '46136'
-              , '61547'
-              , '66162'
-              , '25858'
-              , '22246'
-              , '51949'
-              , '27385'
-              , '77610'
-              , '34322'
-              , '51061'
-              , '68100'
-              , '61860'
-              , '13695'
-              , '44438'
-              , '90578'
-              , '96888'
-              , '58048'
-              , '99543'
-              , '73171'
-              , '56691'
-              , '64528'
-              , '56910'
-              , '83444'
-              , '30122'
-              , '68014'
-              , '14171'
-              , '16807'
-              , '83041'
-              , '34102'
-              , '51103'
-              , '79777'
-              , '17871'
-              , '12305'
-              , '22685'
-              , '94167'
-              , '28709'
-              , '35258'
-              , '57665'
-              , '71256'
-              , '57047'
-              , '11489'
-              , '31387'
-              , '68341'
-              , '78451'
-              , '14867'
-              , '25103'
-              , '35458'
-              , '25003'
-              , '54364'
-              , '73520'
-              , '32213'
-              , '35576'))
-      )       INTERSECT (
-         SELECT ca_zip
-         FROM
-           (
-            SELECT
-              substr(ca_zip, 1, 5) ca_zip
-            , count(*) cnt
-            FROM
-              customer_address
-            , customer
-            WHERE (ca_address_sk = c_current_addr_sk)
-               AND (c_preferred_cust_flag = 'Y')
-            GROUP BY ca_zip
-            HAVING (count(*) > 10)
-         )  a1
-      )    )  a2
-)  v1
-WHERE (ss_store_sk = s_store_sk)
-   AND (ss_sold_date_sk = d_date_sk)
-   AND (d_qoy = 2)
-   AND (d_year = 1998)
-   AND (substr(s_zip, 1, 2) = substr(v1.ca_zip, 1, 2))
-GROUP BY s_store_name
-ORDER BY s_store_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q09.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q09.sql
deleted file mode 100644
index 912beacdcc..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q09.sql
+++ /dev/null
@@ -1,84 +0,0 @@
-SELECT
-  (CASE WHEN ((
-      SELECT count(*)
-      FROM
-        store_sales
-      WHERE (ss_quantity BETWEEN 1 AND 20)
-   ) > 74129) THEN (
-   SELECT avg(ss_ext_discount_amt)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 1 AND 20)
-) ELSE (
-   SELECT avg(ss_net_paid)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 1 AND 20)
-) END) bucket1
-, (CASE WHEN ((
-      SELECT count(*)
-      FROM
-        store_sales
-      WHERE (ss_quantity BETWEEN 21 AND 40)
-   ) > 122840) THEN (
-   SELECT avg(ss_ext_discount_amt)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 21 AND 40)
-) ELSE (
-   SELECT avg(ss_net_paid)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 21 AND 40)
-) END) bucket2
-, (CASE WHEN ((
-      SELECT count(*)
-      FROM
-        store_sales
-      WHERE (ss_quantity BETWEEN 41 AND 60)
-   ) > 56580) THEN (
-   SELECT avg(ss_ext_discount_amt)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 41 AND 60)
-) ELSE (
-   SELECT avg(ss_net_paid)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 41 AND 60)
-) END) bucket3
-, (CASE WHEN ((
-      SELECT count(*)
-      FROM
-        store_sales
-      WHERE (ss_quantity BETWEEN 61 AND 80)
-   ) > 10097) THEN (
-   SELECT avg(ss_ext_discount_amt)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 61 AND 80)
-) ELSE (
-   SELECT avg(ss_net_paid)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 61 AND 80)
-) END) bucket4
-, (CASE WHEN ((
-      SELECT count(*)
-      FROM
-        store_sales
-      WHERE (ss_quantity BETWEEN 81 AND 100)
-   ) > 165306) THEN (
-   SELECT avg(ss_ext_discount_amt)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 81 AND 100)
-) ELSE (
-   SELECT avg(ss_net_paid)
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 81 AND 100)
-) END) bucket5
-FROM
-  reason
-WHERE (r_reason_sk = 1)
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q10.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q10.sql
deleted file mode 100644
index f858219be1..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q10.sql
+++ /dev/null
@@ -1,57 +0,0 @@
-/*
-SELECT
-  cd_gender
-, cd_marital_status
-, cd_education_status
-, count(*) cnt1
-, cd_purchase_estimate
-, count(*) cnt2
-, cd_credit_rating
-, count(*) cnt3
-, cd_dep_count
-, count(*) cnt4
-, cd_dep_employed_count
-, count(*) cnt5
-, cd_dep_college_count
-, count(*) cnt6
-FROM
-  customer c
-, customer_address ca
-, customer_demographics
-WHERE (c.c_current_addr_sk = ca.ca_address_sk)
-   AND (ca_county IN ('Rush County', 'Toole County', 'Jefferson County', 'Dona Ana County', 'La Porte County'))
-   AND (cd_demo_sk = c.c_current_cdemo_sk)
-   AND (EXISTS (
-   SELECT *
-   FROM
-     store_sales
-   , date_dim
-   WHERE (c.c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 2002)
-      AND (d_moy BETWEEN 1 AND (1 + 3))
-))
-   AND ((EXISTS (
-      SELECT *
-      FROM
-        web_sales
-      , date_dim
-      WHERE (c.c_customer_sk = ws_bill_customer_sk)
-         AND (ws_sold_date_sk = d_date_sk)
-         AND (d_year = 2002)
-         AND (d_moy BETWEEN 1 AND (1 + 3))
-   ))
-      OR (EXISTS (
-      SELECT *
-      FROM
-        catalog_sales
-      , date_dim
-      WHERE (c.c_customer_sk = cs_ship_customer_sk)
-         AND (cs_sold_date_sk = d_date_sk)
-         AND (d_year = 2002)
-         AND (d_moy BETWEEN 1 AND (1 + 3))
-   )))
-GROUP BY cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating, cd_dep_count, cd_dep_employed_count, cd_dep_college_count
-ORDER BY cd_gender ASC, cd_marital_status ASC, cd_education_status ASC, cd_purchase_estimate ASC, cd_credit_rating ASC, cd_dep_count ASC, cd_dep_employed_count ASC, cd_dep_college_count ASC
-LIMIT 100
-*/
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q11.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q11.sql
deleted file mode 100644
index 74e63e5f29..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q11.sql
+++ /dev/null
@@ -1,67 +0,0 @@
-WITH
-  year_total AS (
-   SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , c_preferred_cust_flag customer_preferred_cust_flag
-   , c_birth_country customer_birth_country
-   , c_login customer_login
-   , c_email_address customer_email_address
-   , d_year dyear
-   , sum((ss_ext_list_price - ss_ext_discount_amt)) year_total
-   , 's' sale_type
-   FROM
-     customer
-   , store_sales
-   , date_dim
-   WHERE (c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-   GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year
-UNION ALL    SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , c_preferred_cust_flag customer_preferred_cust_flag
-   , c_birth_country customer_birth_country
-   , c_login customer_login
-   , c_email_address customer_email_address
-   , d_year dyear
-   , sum((ws_ext_list_price - ws_ext_discount_amt)) year_total
-   , 'w' sale_type
-   FROM
-     customer
-   , web_sales
-   , date_dim
-   WHERE (c_customer_sk = ws_bill_customer_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-   GROUP BY c_customer_id, c_first_name, c_last_name, c_preferred_cust_flag, c_birth_country, c_login, c_email_address, d_year
-)
-SELECT
-  t_s_secyear.customer_id
-, t_s_secyear.customer_first_name
-, t_s_secyear.customer_last_name
-, t_s_secyear.customer_preferred_cust_flag
-, t_s_secyear.customer_birth_country
-, t_s_secyear.customer_login
-FROM
-  year_total t_s_firstyear
-, year_total t_s_secyear
-, year_total t_w_firstyear
-, year_total t_w_secyear
-WHERE (t_s_secyear.customer_id = t_s_firstyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_secyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_firstyear.customer_id)
-   AND (t_s_firstyear.sale_type = 's')
-   AND (t_w_firstyear.sale_type = 'w')
-   AND (t_s_secyear.sale_type = 's')
-   AND (t_w_secyear.sale_type = 'w')
-   AND (t_s_firstyear.dyear = 2001)
-   AND (t_s_secyear.dyear = (2001 + 1))
-   AND (t_w_firstyear.dyear = 2001)
-   AND (t_w_secyear.dyear = (2001 + 1))
-   AND (t_s_firstyear.year_total > 0)
-   AND (t_w_firstyear.year_total > 0)
-   AND ((CASE WHEN (t_w_firstyear.year_total > 0) THEN (t_w_secyear.year_total / t_w_firstyear.year_total) ELSE 0.0 END) > (CASE WHEN (t_s_firstyear.year_total > 0) THEN (t_s_secyear.year_total / t_s_firstyear.year_total) ELSE 0.0 END))
-ORDER BY t_s_secyear.customer_id ASC, t_s_secyear.customer_first_name ASC, t_s_secyear.customer_last_name ASC, t_s_secyear.customer_preferred_cust_flag ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q12.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q12.sql
deleted file mode 100644
index d70bd33d1e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q12.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT
-  i_item_id
-, i_item_desc
-, i_category
-, i_class
-, i_current_price
-, sum(ws_ext_sales_price) itemrevenue
-, ((sum(ws_ext_sales_price) * 100) / sum(sum(ws_ext_sales_price)) OVER (PARTITION BY i_class)) revenueratio
-FROM
-  web_sales
-, item
-, date_dim
-WHERE (ws_item_sk = i_item_sk)
-   AND (i_category IN ('Sports', 'Books', 'Home'))
-   AND (ws_sold_date_sk = d_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN CAST('1999-02-22' AS DATE) AND (CAST('1999-02-22' AS DATE) + INTERVAL  '30' DAY))
-GROUP BY i_item_id, i_item_desc, i_category, i_class, i_current_price
-ORDER BY i_category ASC, i_class ASC, i_item_id ASC, i_item_desc ASC, revenueratio ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q13.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q13.sql
deleted file mode 100644
index 6c89921ca3..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q13.sql
+++ /dev/null
@@ -1,45 +0,0 @@
-SELECT
-  avg(ss_quantity)
-, avg(ss_ext_sales_price)
-, avg(ss_ext_wholesale_cost)
-, sum(ss_ext_wholesale_cost)
-FROM
-  store_sales
-, store
-, customer_demographics
-, household_demographics
-, customer_address
-, date_dim
-WHERE (s_store_sk = ss_store_sk)
-   AND (ss_sold_date_sk = d_date_sk)
-   AND (d_year = 2001)
-   AND (((ss_hdemo_sk = hd_demo_sk)
-         AND (cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'M')
-         AND (cd_education_status = 'Advanced Degree')
-         AND (ss_sales_price BETWEEN 100.00 AND 150.00)
-         AND (hd_dep_count = 3))
-      OR ((ss_hdemo_sk = hd_demo_sk)
-         AND (cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'S')
-         AND (cd_education_status = 'College')
-         AND (ss_sales_price BETWEEN 50.00 AND 100.00)
-         AND (hd_dep_count = 1))
-      OR ((ss_hdemo_sk = hd_demo_sk)
-         AND (cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'W')
-         AND (cd_education_status = '2 yr Degree')
-         AND (ss_sales_price BETWEEN 150.00 AND 200.00)
-         AND (hd_dep_count = 1)))
-   AND (((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('TX'      , 'OH'      , 'TX'))
-         AND (ss_net_profit BETWEEN 100 AND 200))
-      OR ((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('OR'      , 'NM'      , 'KY'))
-         AND (ss_net_profit BETWEEN 150 AND 300))
-      OR ((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('VA'      , 'TX'      , 'MS'))
-         AND (ss_net_profit BETWEEN 50 AND 250)))
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q14_1.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q14_1.sql
deleted file mode 100644
index e0c637b968..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q14_1.sql
+++ /dev/null
@@ -1,165 +0,0 @@
-WITH
-  cross_items AS (
-   SELECT i_item_sk ss_item_sk
-   FROM
-     item
-   , (
-      SELECT
-        iss.i_brand_id brand_id
-      , iss.i_class_id class_id
-      , iss.i_category_id category_id
-      FROM
-        store_sales
-      , item iss
-      , date_dim d1
-      WHERE (ss_item_sk = iss.i_item_sk)
-         AND (ss_sold_date_sk = d1.d_date_sk)
-         AND (d1.d_year BETWEEN 1999 AND (1999 + 2))
-INTERSECT       SELECT
-        ics.i_brand_id
-      , ics.i_class_id
-      , ics.i_category_id
-      FROM
-        catalog_sales
-      , item ics
-      , date_dim d2
-      WHERE (cs_item_sk = ics.i_item_sk)
-         AND (cs_sold_date_sk = d2.d_date_sk)
-         AND (d2.d_year BETWEEN 1999 AND (1999 + 2))
-INTERSECT       SELECT
-        iws.i_brand_id
-      , iws.i_class_id
-      , iws.i_category_id
-      FROM
-        web_sales
-      , item iws
-      , date_dim d3
-      WHERE (ws_item_sk = iws.i_item_sk)
-         AND (ws_sold_date_sk = d3.d_date_sk)
-         AND (d3.d_year BETWEEN 1999 AND (1999 + 2))
-   ) y 
-   WHERE (i_brand_id = brand_id)
-      AND (i_class_id = class_id)
-      AND (i_category_id = category_id)
-)
-, avg_sales AS (
-   SELECT avg((quantity * list_price)) average_sales
-   FROM
-     (
-      SELECT
-        ss_quantity quantity
-      , ss_list_price list_price
-      FROM
-        store_sales
-      , date_dim
-      WHERE (ss_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-UNION ALL       SELECT
-        cs_quantity quantity
-      , cs_list_price list_price
-      FROM
-        catalog_sales
-      , date_dim
-      WHERE (cs_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-UNION ALL       SELECT
-        ws_quantity quantity
-      , ws_list_price list_price
-      FROM
-        web_sales
-      , date_dim
-      WHERE (ws_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-   )  x
-)
-SELECT
-  channel
-, i_brand_id
-, i_class_id
-, i_category_id
-, sum(sales)
-, sum(number_sales)
-FROM
-  (
-   SELECT
-     'store' channel
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , sum((ss_quantity * ss_list_price)) sales
-   , count(*) number_sales
-   FROM
-     store_sales
-   , item
-   , date_dim
-   WHERE (ss_item_sk IN (
-      SELECT ss_item_sk
-      FROM
-        cross_items
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = (1999 + 2))
-      AND (d_moy = 11)
-   GROUP BY i_brand_id, i_class_id, i_category_id
-   HAVING (sum((ss_quantity * ss_list_price)) > (
-         SELECT average_sales
-         FROM
-           avg_sales
-      ))
-UNION ALL    SELECT
-     'catalog' channel
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , sum((cs_quantity * cs_list_price)) sales
-   , count(*) number_sales
-   FROM
-     catalog_sales
-   , item
-   , date_dim
-   WHERE (cs_item_sk IN (
-      SELECT ss_item_sk
-      FROM
-        cross_items
-   ))
-      AND (cs_item_sk = i_item_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (d_year = (1999 + 2))
-      AND (d_moy = 11)
-   GROUP BY i_brand_id, i_class_id, i_category_id
-   HAVING (sum((cs_quantity * cs_list_price)) > (
-         SELECT average_sales
-         FROM
-           avg_sales
-      ))
-UNION ALL    SELECT
-     'web' channel
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , sum((ws_quantity * ws_list_price)) sales
-   , count(*) number_sales
-   FROM
-     web_sales
-   , item
-   , date_dim
-   WHERE (ws_item_sk IN (
-      SELECT ss_item_sk
-      FROM
-        cross_items
-   ))
-      AND (ws_item_sk = i_item_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year = (1999 + 2))
-      AND (d_moy = 11)
-   GROUP BY i_brand_id, i_class_id, i_category_id
-   HAVING (sum((ws_quantity * ws_list_price)) > (
-         SELECT average_sales
-         FROM
-           avg_sales
-      ))
-)  y
-GROUP BY ROLLUP (channel, i_brand_id, i_class_id, i_category_id)
-ORDER BY channel ASC, i_brand_id ASC, i_class_id ASC, i_category_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q14_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q14_2.sql
deleted file mode 100644
index 5d465d8c09..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q14_2.sql
+++ /dev/null
@@ -1,149 +0,0 @@
-WITH
-  cross_items AS (
-   SELECT i_item_sk ss_item_sk
-   FROM
-     item
-   , (
-      SELECT
-        iss.i_brand_id brand_id
-      , iss.i_class_id class_id
-      , iss.i_category_id category_id
-      FROM
-        store_sales
-      , item iss
-      , date_dim d1
-      WHERE (ss_item_sk = iss.i_item_sk)
-         AND (ss_sold_date_sk = d1.d_date_sk)
-         AND (d1.d_year BETWEEN 1999 AND (1999 + 2))
-INTERSECT       SELECT
-        ics.i_brand_id
-      , ics.i_class_id
-      , ics.i_category_id
-      FROM
-        catalog_sales
-      , item ics
-      , date_dim d2
-      WHERE (cs_item_sk = ics.i_item_sk)
-         AND (cs_sold_date_sk = d2.d_date_sk)
-         AND (d2.d_year BETWEEN 1999 AND (1999 + 2))
-INTERSECT       SELECT
-        iws.i_brand_id
-      , iws.i_class_id
-      , iws.i_category_id
-      FROM
-        web_sales
-      , item iws
-      , date_dim d3
-      WHERE (ws_item_sk = iws.i_item_sk)
-         AND (ws_sold_date_sk = d3.d_date_sk)
-         AND (d3.d_year BETWEEN 1999 AND (1999 + 2))
-   )  x
-   WHERE (i_brand_id = brand_id)
-      AND (i_class_id = class_id)
-      AND (i_category_id = category_id)
-)
-, avg_sales AS (
-   SELECT avg((quantity * list_price)) average_sales
-   FROM
-     (
-      SELECT
-        ss_quantity quantity
-      , ss_list_price list_price
-      FROM
-        store_sales
-      , date_dim
-      WHERE (ss_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-UNION ALL       SELECT
-        cs_quantity quantity
-      , cs_list_price list_price
-      FROM
-        catalog_sales
-      , date_dim
-      WHERE (cs_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-UNION ALL       SELECT
-        ws_quantity quantity
-      , ws_list_price list_price
-      FROM
-        web_sales
-      , date_dim
-      WHERE (ws_sold_date_sk = d_date_sk)
-         AND (d_year BETWEEN 1999 AND (1999 + 2))
-   ) y
-)
-SELECT *
-FROM
-  (
-   SELECT
-     'store' channel
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , sum((ss_quantity * ss_list_price)) sales
-   , count(*) number_sales
-   FROM
-     store_sales
-   , item
-   , date_dim
-   WHERE (ss_item_sk IN (
-      SELECT ss_item_sk
-      FROM
-        cross_items
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_week_seq = (
-         SELECT d_week_seq
-         FROM
-           date_dim
-         WHERE (d_year = (1999 + 1))
-            AND (d_moy = 12)
-            AND (d_dom = 11)
-      ))
-   GROUP BY i_brand_id, i_class_id, i_category_id
-   HAVING (sum((ss_quantity * ss_list_price)) > (
-         SELECT average_sales
-         FROM
-           avg_sales
-      ))
-)  this_year
-, (
-   SELECT
-     'store' channel
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , sum((ss_quantity * ss_list_price)) sales
-   , count(*) number_sales
-   FROM
-     store_sales
-   , item
-   , date_dim
-   WHERE (ss_item_sk IN (
-      SELECT ss_item_sk
-      FROM
-        cross_items
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_week_seq = (
-         SELECT d_week_seq
-         FROM
-           date_dim
-         WHERE (d_year = 1999)
-            AND (d_moy = 12)
-            AND (d_dom = 11)
-      ))
-   GROUP BY i_brand_id, i_class_id, i_category_id
-   HAVING (sum((ss_quantity * ss_list_price)) > (
-         SELECT average_sales
-         FROM
-           avg_sales
-      ))
-)  last_year
-WHERE (this_year.i_brand_id = last_year.i_brand_id)
-   AND (this_year.i_class_id = last_year.i_class_id)
-   AND (this_year.i_category_id = last_year.i_category_id)
-ORDER BY this_year.channel ASC, this_year.i_brand_id ASC, this_year.i_class_id ASC, this_year.i_category_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q15.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q15.sql
deleted file mode 100644
index a11349ed7a..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q15.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT
-  ca_zip
-, sum(cs_sales_price)
-FROM
-  catalog_sales
-, customer
-, customer_address
-, date_dim
-WHERE (cs_bill_customer_sk = c_customer_sk)
-   AND (c_current_addr_sk = ca_address_sk)
-   AND ((substr(ca_zip, 1, 5) IN ('85669'   , '86197'   , '88274'   , '83405'   , '86475'   , '85392'   , '85460'   , '80348'   , '81792'))
-      OR (ca_state IN ('CA'   , 'WA'   , 'GA'))
-      OR (cs_sales_price > 500))
-   AND (cs_sold_date_sk = d_date_sk)
-   AND (d_qoy = 2)
-   AND (d_year = 2001)
-GROUP BY ca_zip
-ORDER BY ca_zip ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q16.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q16.sql
deleted file mode 100644
index c2445b6fbd..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q16.sql
+++ /dev/null
@@ -1,30 +0,0 @@
-SELECT
-  count(DISTINCT cs_order_number) 'order count'
-, sum(cs_ext_ship_cost) 'total shipping cost'
-, sum(cs_net_profit) 'total net profit'
-FROM
-  catalog_sales cs1
-, date_dim
-, customer_address
-, call_center
-WHERE (d_date BETWEEN CAST('2002-2-01' AS DATE) AND (CAST('2002-2-01' AS DATE) + INTERVAL  '60' DAY))
-   AND (cs1.cs_ship_date_sk = d_date_sk)
-   AND (cs1.cs_ship_addr_sk = ca_address_sk)
-   AND (ca_state = 'GA')
-   AND (cs1.cs_call_center_sk = cc_call_center_sk)
-   AND (cc_county IN ('Williamson County', 'Williamson County', 'Williamson County', 'Williamson County', 'Williamson County'))
-   AND (EXISTS (
-   SELECT *
-   FROM
-     catalog_sales cs2
-   WHERE (cs1.cs_order_number = cs2.cs_order_number)
-      AND (cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
-))
-   AND (NOT (EXISTS (
-   SELECT *
-   FROM
-     catalog_returns cr1
-   WHERE (cs1.cs_order_number = cr1.cr_order_number)
-)))
-ORDER BY count(DISTINCT cs_order_number) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q17.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q17.sql
deleted file mode 100644
index 0d53a1e7a3..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q17.sql
+++ /dev/null
@@ -1,41 +0,0 @@
-SELECT
-  i_item_id
-, i_item_desc
-, s_state
-, count(ss_quantity) store_sales_quantitycount
-, avg(ss_quantity) store_sales_quantityave
-, stddev_samp(ss_quantity) store_sales_quantitystdev
-, (stddev_samp(ss_quantity) / avg(ss_quantity)) store_sales_quantitycov
-, count(sr_return_quantity) store_returns_quantitycount
-, avg(sr_return_quantity) store_returns_quantityave
-, stddev_samp(sr_return_quantity) store_returns_quantitystdev
-, (stddev_samp(sr_return_quantity) / avg(sr_return_quantity)) store_returns_quantitycov
-, count(cs_quantity) catalog_sales_quantitycount
-, avg(cs_quantity) catalog_sales_quantityave
-, stddev_samp(cs_quantity) catalog_sales_quantitystdev
-, (stddev_samp(cs_quantity) / avg(cs_quantity)) catalog_sales_quantitycov
-FROM
-  store_sales
-, store_returns
-, catalog_sales
-, date_dim d1
-, date_dim d2
-, date_dim d3
-, store
-, item
-WHERE (d1.d_quarter_name = '2001Q1')
-   AND (d1.d_date_sk = ss_sold_date_sk)
-   AND (i_item_sk = ss_item_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (ss_customer_sk = sr_customer_sk)
-   AND (ss_item_sk = sr_item_sk)
-   AND (ss_ticket_number = sr_ticket_number)
-   AND (sr_returned_date_sk = d2.d_date_sk)
-   AND (d2.d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
-   AND (sr_customer_sk = cs_bill_customer_sk)
-   AND (sr_item_sk = cs_item_sk)
-   AND (cs_sold_date_sk = d3.d_date_sk)
-   AND (d3.d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
-GROUP BY i_item_id, i_item_desc, s_state
-ORDER BY i_item_id ASC, i_item_desc ASC, s_state ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q18.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q18.sql
deleted file mode 100644
index d1b4236cbc..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q18.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-SELECT
-  i_item_id
-, ca_country
-, ca_state
-, ca_county
-, avg(CAST(cs_quantity AS DECIMALV3(12,2))) agg1
-, avg(CAST(cs_list_price AS DECIMALV3(12,2))) agg2
-, avg(CAST(cs_coupon_amt AS DECIMALV3(12,2))) agg3
-, avg(CAST(cs_sales_price AS DECIMALV3(12,2))) agg4
-, avg(CAST(cs_net_profit AS DECIMALV3(12,2))) agg5
-, avg(CAST(c_birth_year AS DECIMALV3(12,2))) agg6
-, avg(CAST(cd1.cd_dep_count AS DECIMALV3(12,2))) agg7
-FROM
-  catalog_sales
-, customer_demographics cd1
-, customer_demographics cd2
-, customer
-, customer_address
-, date_dim
-, item
-WHERE (cs_sold_date_sk = d_date_sk)
-   AND (cs_item_sk = i_item_sk)
-   AND (cs_bill_cdemo_sk = cd1.cd_demo_sk)
-   AND (cs_bill_customer_sk = c_customer_sk)
-   AND (cd1.cd_gender = 'F')
-   AND (cd1.cd_education_status = 'Unknown')
-   AND (c_current_cdemo_sk = cd2.cd_demo_sk)
-   AND (c_current_addr_sk = ca_address_sk)
-   AND (c_birth_month IN (1, 6, 8, 9, 12, 2))
-   AND (d_year = 1998)
-   AND (ca_state IN ('MS', 'IN', 'ND', 'OK', 'NM', 'VA', 'MS'))
-GROUP BY ROLLUP (i_item_id, ca_country, ca_state, ca_county)
-ORDER BY ca_country ASC, ca_state ASC, ca_county ASC, i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q19.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q19.sql
deleted file mode 100644
index 8e15f57589..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q19.sql
+++ /dev/null
@@ -1,25 +0,0 @@
-SELECT
-  i_brand_id brand_id
-, i_brand brand
-, i_manufact_id
-, i_manufact
-, sum(ss_ext_sales_price) ext_price
-FROM
-  date_dim
-, store_sales
-, item
-, customer
-, customer_address
-, store
-WHERE (d_date_sk = ss_sold_date_sk)
-   AND (ss_item_sk = i_item_sk)
-   AND (i_manager_id = 8)
-   AND (d_moy = 11)
-   AND (d_year = 1998)
-   AND (ss_customer_sk = c_customer_sk)
-   AND (c_current_addr_sk = ca_address_sk)
-   AND (substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5))
-   AND (ss_store_sk = s_store_sk)
-GROUP BY i_brand, i_brand_id, i_manufact_id, i_manufact
-ORDER BY ext_price DESC, i_brand ASC, i_brand_id ASC, i_manufact_id ASC, i_manufact ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q20.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q20.sql
deleted file mode 100644
index 0ac1a139b8..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q20.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT
-  i_item_id
-, i_item_desc
-, i_category
-, i_class
-, i_current_price
-, sum(cs_ext_sales_price) itemrevenue
-, ((sum(cs_ext_sales_price) * 100) / sum(sum(cs_ext_sales_price)) OVER (PARTITION BY i_class)) revenueratio
-FROM
-  catalog_sales
-, item
-, date_dim
-WHERE (cs_item_sk = i_item_sk)
-   AND (i_category IN ('Sports', 'Books', 'Home'))
-   AND (cs_sold_date_sk = d_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN CAST('1999-02-22' AS DATE) AND (CAST('1999-02-22' AS DATE) + INTERVAL  '30' DAY))
-GROUP BY i_item_id, i_item_desc, i_category, i_class, i_current_price
-ORDER BY i_category ASC, i_class ASC, i_item_id ASC, i_item_desc ASC, revenueratio ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q21.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q21.sql
deleted file mode 100644
index c558c13110..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q21.sql
+++ /dev/null
@@ -1,23 +0,0 @@
-SELECT *
-FROM
-  (
-   SELECT
-     w_warehouse_name
-   , i_item_id
-   , sum((CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN inv_quantity_on_hand ELSE 0 END)) inv_before
-   , sum((CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN inv_quantity_on_hand ELSE 0 END)) inv_after
-   FROM
-     inventory
-   , warehouse
-   , item
-   , date_dim
-   WHERE (i_current_price BETWEEN 0.99 AND 1.49)
-      AND (i_item_sk = inv_item_sk)
-      AND (inv_warehouse_sk = w_warehouse_sk)
-      AND (inv_date_sk = d_date_sk)
-      AND (d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL  '30' DAY) AND (CAST('2000-03-11' AS DATE) + INTERVAL  '30' DAY))
-   GROUP BY w_warehouse_name, i_item_id
-)  x
-WHERE ((CASE WHEN (inv_before > 0) THEN (inv_after / inv_before) ELSE null END) BETWEEN (2.00 / 3.00) AND (3.00 / 2.00))
-ORDER BY w_warehouse_name ASC, i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q22.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q22.sql
deleted file mode 100644
index 3a37bc7661..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q22.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-SELECT
-  i_product_name
-, i_brand
-, i_class
-, i_category
-, avg(inv_quantity_on_hand) qoh
-FROM
-  inventory
-, date_dim
-, item
-WHERE (inv_date_sk = d_date_sk)
-   AND (inv_item_sk = i_item_sk)
-   AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-GROUP BY ROLLUP (i_product_name, i_brand, i_class, i_category)
-ORDER BY qoh ASC, i_product_name ASC, i_brand ASC, i_class ASC, i_category ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_1.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_1.sql
deleted file mode 100644
index 70312fb5e1..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_1.sql
+++ /dev/null
@@ -1,88 +0,0 @@
-WITH
-  frequent_ss_items AS (
-   SELECT
-     substr(i_item_desc, 1, 30) itemdesc
-   , i_item_sk item_sk
-   , d_date solddate
-   , count(*) cnt
-   FROM
-     store_sales
-   , date_dim
-   , item
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (d_year IN (2000   , (2000 + 1)   , (2000 + 2)   , (2000 + 3)))
-   GROUP BY substr(i_item_desc, 1, 30), i_item_sk, d_date
-   HAVING (count(*) > 4)
-)
-, max_store_sales AS (
-   SELECT max(csales) tpcds_cmax
-   FROM
-     (
-      SELECT
-        c_customer_sk
-      , sum((ss_quantity * ss_sales_price)) csales
-      FROM
-        store_sales
-      , customer
-      , date_dim
-      WHERE (ss_customer_sk = c_customer_sk)
-         AND (ss_sold_date_sk = d_date_sk)
-         AND (d_year IN (2000      , (2000 + 1)      , (2000 + 2)      , (2000 + 3)))
-      GROUP BY c_customer_sk
-   ) x
-)
-, best_ss_customer AS (
-   SELECT
-     c_customer_sk
-   , sum((ss_quantity * ss_sales_price)) ssales
-   FROM
-     store_sales
-   , customer
-   WHERE (ss_customer_sk = c_customer_sk)
-   GROUP BY c_customer_sk
-   HAVING (sum((ss_quantity * ss_sales_price)) > ((50 / 100.0) * (
-            SELECT *
-            FROM
-              max_store_sales
-         )))
-)
-SELECT sum(sales)
-FROM
-  (
-   SELECT (cs_quantity * cs_list_price) sales
-   FROM
-     catalog_sales
-   , date_dim
-   WHERE (d_year = 2000)
-      AND (d_moy = 2)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (cs_item_sk IN (
-      SELECT item_sk
-      FROM
-        frequent_ss_items
-   ))
-      AND (cs_bill_customer_sk IN (
-      SELECT c_customer_sk
-      FROM
-        best_ss_customer
-   ))
-UNION ALL    SELECT (ws_quantity * ws_list_price) sales
-   FROM
-     web_sales
-   , date_dim
-   WHERE (d_year = 2000)
-      AND (d_moy = 2)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (ws_item_sk IN (
-      SELECT item_sk
-      FROM
-        frequent_ss_items
-   ))
-      AND (ws_bill_customer_sk IN (
-      SELECT c_customer_sk
-      FROM
-        best_ss_customer
-   ))
-) y
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_2.sql
deleted file mode 100644
index 7d33f9219b..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_2.sql
+++ /dev/null
@@ -1,104 +0,0 @@
-WITH
-  frequent_ss_items AS (
-   SELECT
-     substr(i_item_desc, 1, 30) itemdesc
-   , i_item_sk item_sk
-   , d_date solddate
-   , count(*) cnt
-   FROM
-     store_sales
-   , date_dim
-   , item
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (d_year IN (2000   , (2000 + 1)   , (2000 + 2)   , (2000 + 3)))
-   GROUP BY substr(i_item_desc, 1, 30), i_item_sk, d_date
-   HAVING (count(*) > 4)
-)
-, max_store_sales AS (
-   SELECT max(csales) tpcds_cmax
-   FROM
-     (
-      SELECT
-        c_customer_sk
-      , sum((ss_quantity * ss_sales_price)) csales
-      FROM
-        store_sales
-      , customer
-      , date_dim
-      WHERE (ss_customer_sk = c_customer_sk)
-         AND (ss_sold_date_sk = d_date_sk)
-         AND (d_year IN (2000      , (2000 + 1)      , (2000 + 2)      , (2000 + 3)))
-      GROUP BY c_customer_sk
-   ) x
-)
-, best_ss_customer AS (
-   SELECT
-     c_customer_sk
-   , sum((ss_quantity * ss_sales_price)) ssales
-   FROM
-     store_sales
-   , customer
-   WHERE (ss_customer_sk = c_customer_sk)
-   GROUP BY c_customer_sk
-   HAVING (sum((ss_quantity * ss_sales_price)) > ((50 / 100.0) * (
-            SELECT *
-            FROM
-              max_store_sales
-         )))
-)
-SELECT
-  c_last_name
-, c_first_name
-, sales
-FROM
-  (
-   SELECT
-     c_last_name
-   , c_first_name
-   , sum((cs_quantity * cs_list_price)) sales
-   FROM
-     catalog_sales
-   , customer
-   , date_dim
-   WHERE (d_year = 2000)
-      AND (d_moy = 2)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (cs_item_sk IN (
-      SELECT item_sk
-      FROM
-        frequent_ss_items
-   ))
-      AND (cs_bill_customer_sk IN (
-      SELECT c_customer_sk
-      FROM
-        best_ss_customer
-   ))
-      AND (cs_bill_customer_sk = c_customer_sk)
-   GROUP BY c_last_name, c_first_name
-UNION ALL    SELECT
-     c_last_name
-   , c_first_name
-   , sum((ws_quantity * ws_list_price)) sales
-   FROM
-     web_sales
-   , customer
-   , date_dim
-   WHERE (d_year = 2000)
-      AND (d_moy = 2)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (ws_item_sk IN (
-      SELECT item_sk
-      FROM
-        frequent_ss_items
-   ))
-      AND (ws_bill_customer_sk IN (
-      SELECT c_customer_sk
-      FROM
-        best_ss_customer
-   ))
-      AND (ws_bill_customer_sk = c_customer_sk)
-   GROUP BY c_last_name, c_first_name
-) z 
-ORDER BY c_last_name ASC, c_first_name ASC, sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_1.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_1.sql
deleted file mode 100644
index 1fd0096b82..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_1.sql
+++ /dev/null
@@ -1,46 +0,0 @@
-WITH
-  ssales AS (
-   SELECT
-     c_last_name
-   , c_first_name
-   , s_store_name
-   , ca_state
-   , s_state
-   , i_color
-   , i_current_price
-   , i_manager_id
-   , i_units
-   , i_size
-   , sum(ss_net_paid) netpaid
-   FROM
-     store_sales
-   , store_returns
-   , store
-   , item
-   , customer
-   , customer_address
-   WHERE (ss_ticket_number = sr_ticket_number)
-      AND (ss_item_sk = sr_item_sk)
-      AND (ss_customer_sk = c_customer_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (c_birth_country = upper(ca_country))
-      AND (s_zip = ca_zip)
-      AND (s_market_id = 8)
-   GROUP BY c_last_name, c_first_name, s_store_name, ca_state, s_state, i_color, i_current_price, i_manager_id, i_units, i_size
-)
-SELECT
-  c_last_name
-, c_first_name
-, s_store_name
-, sum(netpaid) paid
-FROM
-  ssales
-WHERE (i_color = 'pale')
-GROUP BY c_last_name, c_first_name, s_store_name
-HAVING (sum(netpaid) > (
-      SELECT (0.05 * avg(netpaid))
-      FROM
-        ssales
-   ))
-ORDER BY c_last_name, c_first_name, s_store_name
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_2.sql
deleted file mode 100644
index cdcbd610cc..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_2.sql
+++ /dev/null
@@ -1,46 +0,0 @@
-WITH
-  ssales AS (
-   SELECT
-     c_last_name
-   , c_first_name
-   , s_store_name
-   , ca_state
-   , s_state
-   , i_color
-   , i_current_price
-   , i_manager_id
-   , i_units
-   , i_size
-   , sum(ss_net_paid) netpaid
-   FROM
-     store_sales
-   , store_returns
-   , store
-   , item
-   , customer
-   , customer_address
-   WHERE (ss_ticket_number = sr_ticket_number)
-      AND (ss_item_sk = sr_item_sk)
-      AND (ss_customer_sk = c_customer_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (c_birth_country = upper(ca_country))
-      AND (s_zip = ca_zip)
-      AND (s_market_id = 8)
-   GROUP BY c_last_name, c_first_name, s_store_name, ca_state, s_state, i_color, i_current_price, i_manager_id, i_units, i_size
-)
-SELECT
-  c_last_name
-, c_first_name
-, s_store_name
-, sum(netpaid) paid
-FROM
-  ssales
-WHERE (i_color = 'chiffon')
-GROUP BY c_last_name, c_first_name, s_store_name
-HAVING (sum(netpaid) > (
-      SELECT (0.05 * avg(netpaid))
-      FROM
-        ssales
-   ))
-ORDER BY c_last_name, c_first_name, s_store_name
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q25.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q25.sql
deleted file mode 100644
index 8b1cc4faf6..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q25.sql
+++ /dev/null
@@ -1,36 +0,0 @@
-SELECT
-  i_item_id
-, i_item_desc
-, s_store_id
-, s_store_name
-, sum(ss_net_profit) store_sales_profit
-, sum(sr_net_loss) store_returns_loss
-, sum(cs_net_profit) catalog_sales_profit
-FROM
-  store_sales
-, store_returns
-, catalog_sales
-, date_dim d1
-, date_dim d2
-, date_dim d3
-, store
-, item
-WHERE (d1.d_moy = 4)
-   AND (d1.d_year = 2001)
-   AND (d1.d_date_sk = ss_sold_date_sk)
-   AND (i_item_sk = ss_item_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (ss_customer_sk = sr_customer_sk)
-   AND (ss_item_sk = sr_item_sk)
-   AND (ss_ticket_number = sr_ticket_number)
-   AND (sr_returned_date_sk = d2.d_date_sk)
-   AND (d2.d_moy BETWEEN 4 AND 10)
-   AND (d2.d_year = 2001)
-   AND (sr_customer_sk = cs_bill_customer_sk)
-   AND (sr_item_sk = cs_item_sk)
-   AND (cs_sold_date_sk = d3.d_date_sk)
-   AND (d3.d_moy BETWEEN 4 AND 10)
-   AND (d3.d_year = 2001)
-GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name
-ORDER BY i_item_id ASC, i_item_desc ASC, s_store_id ASC, s_store_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q26.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q26.sql
deleted file mode 100644
index 8a46ba60f1..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q26.sql
+++ /dev/null
@@ -1,25 +0,0 @@
-SELECT
-  i_item_id
-, avg(cs_quantity) agg1
-, avg(cs_list_price) agg2
-, avg(cs_coupon_amt) agg3
-, avg(cs_sales_price) agg4
-FROM
-  catalog_sales
-, customer_demographics
-, date_dim
-, item
-, promotion
-WHERE (cs_sold_date_sk = d_date_sk)
-   AND (cs_item_sk = i_item_sk)
-   AND (cs_bill_cdemo_sk = cd_demo_sk)
-   AND (cs_promo_sk = p_promo_sk)
-   AND (cd_gender = 'M')
-   AND (cd_marital_status = 'S')
-   AND (cd_education_status = 'College')
-   AND ((p_channel_email = 'N')
-      OR (p_channel_event = 'N'))
-   AND (d_year = 2000)
-GROUP BY i_item_id
-ORDER BY i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q27.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q27.sql
deleted file mode 100644
index 7ac41c8e24..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q27.sql
+++ /dev/null
@@ -1,32 +0,0 @@
-SELECT
-  i_item_id
-, s_state
-, GROUPING (s_state) g_state
-, avg(ss_quantity) agg1
-, avg(ss_list_price) agg2
-, avg(ss_coupon_amt) agg3
-, avg(ss_sales_price) agg4
-FROM
-  store_sales
-, customer_demographics
-, date_dim
-, store
-, item
-WHERE (ss_sold_date_sk = d_date_sk)
-   AND (ss_item_sk = i_item_sk)
-   AND (ss_store_sk = s_store_sk)
-   AND (ss_cdemo_sk = cd_demo_sk)
-   AND (cd_gender = 'M')
-   AND (cd_marital_status = 'S')
-   AND (cd_education_status = 'College')
-   AND (d_year = 2002)
-   AND (s_state IN (
-     'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'))
-GROUP BY ROLLUP (i_item_id, s_state)
-ORDER BY i_item_id ASC, s_state ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q28.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q28.sql
deleted file mode 100644
index d19094cd5c..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q28.sql
+++ /dev/null
@@ -1,75 +0,0 @@
-SELECT *
-FROM
-  (
-   SELECT
-     avg(ss_list_price) b1_lp
-   , count(ss_list_price) b1_cnt
-   , count(DISTINCT ss_list_price) b1_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 0 AND 5)
-      AND ((ss_list_price BETWEEN 8 AND (8 + 10))
-         OR (ss_coupon_amt BETWEEN 459 AND (459 + 1000))
-         OR (ss_wholesale_cost BETWEEN 57 AND (57 + 20)))
-)  b1
-, (
-   SELECT
-     avg(ss_list_price) b2_lp
-   , count(ss_list_price) b2_cnt
-   , count(DISTINCT ss_list_price) b2_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 6 AND 10)
-      AND ((ss_list_price BETWEEN 90 AND (90 + 10))
-         OR (ss_coupon_amt BETWEEN 2323 AND (2323 + 1000))
-         OR (ss_wholesale_cost BETWEEN 31 AND (31 + 20)))
-)  b2
-, (
-   SELECT
-     avg(ss_list_price) b3_lp
-   , count(ss_list_price) b3_cnt
-   , count(DISTINCT ss_list_price) b3_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 11 AND 15)
-      AND ((ss_list_price BETWEEN 142 AND (142 + 10))
-         OR (ss_coupon_amt BETWEEN 12214 AND (12214 + 1000))
-         OR (ss_wholesale_cost BETWEEN 79 AND (79 + 20)))
-)  b3
-, (
-   SELECT
-     avg(ss_list_price) b4_lp
-   , count(ss_list_price) b4_cnt
-   , count(DISTINCT ss_list_price) b4_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 16 AND 20)
-      AND ((ss_list_price BETWEEN 135 AND (135 + 10))
-         OR (ss_coupon_amt BETWEEN 6071 AND (6071 + 1000))
-         OR (ss_wholesale_cost BETWEEN 38 AND (38 + 20)))
-)  b4
-, (
-   SELECT
-     avg(ss_list_price) b5_lp
-   , count(ss_list_price) b5_cnt
-   , count(DISTINCT ss_list_price) b5_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 21 AND 25)
-      AND ((ss_list_price BETWEEN 122 AND (122 + 10))
-         OR (ss_coupon_amt BETWEEN 836 AND (836 + 1000))
-         OR (ss_wholesale_cost BETWEEN 17 AND (17 + 20)))
-)  b5
-, (
-   SELECT
-     avg(ss_list_price) b6_lp
-   , count(ss_list_price) b6_cnt
-   , count(DISTINCT ss_list_price) b6_cntd
-   FROM
-     store_sales
-   WHERE (ss_quantity BETWEEN 26 AND 30)
-      AND ((ss_list_price BETWEEN 154 AND (154 + 10))
-         OR (ss_coupon_amt BETWEEN 7326 AND (7326 + 1000))
-         OR (ss_wholesale_cost BETWEEN 7 AND (7 + 20)))
-)  b6
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q29.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q29.sql
deleted file mode 100644
index f96cb95b45..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q29.sql
+++ /dev/null
@@ -1,35 +0,0 @@
-SELECT
-  i_item_id
-, i_item_desc
-, s_store_id
-, s_store_name
-, sum(ss_quantity) store_sales_quantity
-, sum(sr_return_quantity) store_returns_quantity
-, sum(cs_quantity) catalog_sales_quantity
-FROM
-  store_sales
-, store_returns
-, catalog_sales
-, date_dim d1
-, date_dim d2
-, date_dim d3
-, store
-, item
-WHERE (d1.d_moy = 9)
-   AND (d1.d_year = 1999)
-   AND (d1.d_date_sk = ss_sold_date_sk)
-   AND (i_item_sk = ss_item_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (ss_customer_sk = sr_customer_sk)
-   AND (ss_item_sk = sr_item_sk)
-   AND (ss_ticket_number = sr_ticket_number)
-   AND (sr_returned_date_sk = d2.d_date_sk)
-   AND (d2.d_moy BETWEEN 9 AND (9 + 3))
-   AND (d2.d_year = 1999)
-   AND (sr_customer_sk = cs_bill_customer_sk)
-   AND (sr_item_sk = cs_item_sk)
-   AND (cs_sold_date_sk = d3.d_date_sk)
-   AND (d3.d_year IN (1999, (1999 + 1), (1999 + 2)))
-GROUP BY i_item_id, i_item_desc, s_store_id, s_store_name
-ORDER BY i_item_id ASC, i_item_desc ASC, s_store_id ASC, s_store_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q30.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q30.sql
deleted file mode 100644
index 03780ec12b..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q30.sql
+++ /dev/null
@@ -1,49 +0,0 @@
--- Expect cell is: C??TE D'IVOIRE
--- But real is: C?TE D'IVOIRE
--- compare result fail when encounter latin character Ô
-/*
-WITH
-  customer_total_return AS (
-   SELECT
-     wr_returning_customer_sk ctr_customer_sk
-   , ca_state ctr_state
-   , sum(wr_return_amt) ctr_total_return
-   FROM
-     web_returns
-   , date_dim
-   , customer_address
-   WHERE (wr_returned_date_sk = d_date_sk)
-      AND (d_year = 2002)
-      AND (wr_returning_addr_sk = ca_address_sk)
-   GROUP BY wr_returning_customer_sk, ca_state
-)
-SELECT
-  c_customer_id
-, c_salutation
-, c_first_name
-, c_last_name
-, c_preferred_cust_flag
-, c_birth_day
-, c_birth_month
-, c_birth_year
-, c_birth_country
-, c_login
-, c_email_address
-, c_last_review_date_sk
-, ctr_total_return
-FROM
-  customer_total_return ctr1
-, customer_address
-, customer
-WHERE (ctr1.ctr_total_return > (
-      SELECT (avg(ctr_total_return) * 1.2)
-      FROM
-        customer_total_return ctr2
-      WHERE (ctr1.ctr_state = ctr2.ctr_state)
-   ))
-   AND (ca_address_sk = c_current_addr_sk)
-   AND (ca_state = 'GA')
-   AND (ctr1.ctr_customer_sk = c_customer_sk)
-ORDER BY c_customer_id ASC, c_salutation ASC, c_first_name ASC, c_last_name ASC, c_preferred_cust_flag ASC, c_birth_day ASC, c_birth_month ASC, c_birth_year ASC, c_birth_country ASC, c_login ASC, c_email_address ASC, c_last_review_date_sk ASC, ctr_total_return ASC
-LIMIT 100
-*/
\ No newline at end of file
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q31.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q31.sql
deleted file mode 100644
index 30f2272a3f..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q31.sql
+++ /dev/null
@@ -1,63 +0,0 @@
-WITH
-  ss AS (
-   SELECT
-     ca_county
-   , d_qoy
-   , d_year
-   , sum(ss_ext_sales_price) store_sales
-   FROM
-     store_sales
-   , date_dim
-   , customer_address
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (ss_addr_sk = ca_address_sk)
-   GROUP BY ca_county, d_qoy, d_year
-)
-, ws AS (
-   SELECT
-     ca_county
-   , d_qoy
-   , d_year
-   , sum(ws_ext_sales_price) web_sales
-   FROM
-     web_sales
-   , date_dim
-   , customer_address
-   WHERE (ws_sold_date_sk = d_date_sk)
-      AND (ws_bill_addr_sk = ca_address_sk)
-   GROUP BY ca_county, d_qoy, d_year
-)
-SELECT
-  ss1.ca_county
-, ss1.d_year
-, (ws2.web_sales / ws1.web_sales) web_q1_q2_increase
-, (ss2.store_sales / ss1.store_sales) store_q1_q2_increase
-, (ws3.web_sales / ws2.web_sales) web_q2_q3_increase
-, (ss3.store_sales / ss2.store_sales) store_q2_q3_increase
-FROM
-  ss ss1
-, ss ss2
-, ss ss3
-, ws ws1
-, ws ws2
-, ws ws3
-WHERE (ss1.d_qoy = 1)
-   AND (ss1.d_year = 2000)
-   AND (ss1.ca_county = ss2.ca_county)
-   AND (ss2.d_qoy = 2)
-   AND (ss2.d_year = 2000)
-   AND (ss2.ca_county = ss3.ca_county)
-   AND (ss3.d_qoy = 3)
-   AND (ss3.d_year = 2000)
-   AND (ss1.ca_county = ws1.ca_county)
-   AND (ws1.d_qoy = 1)
-   AND (ws1.d_year = 2000)
-   AND (ws1.ca_county = ws2.ca_county)
-   AND (ws2.d_qoy = 2)
-   AND (ws2.d_year = 2000)
-   AND (ws1.ca_county = ws3.ca_county)
-   AND (ws3.d_qoy = 3)
-   AND (ws3.d_year = 2000)
-   AND ((CASE WHEN (ws1.web_sales > 0) THEN (ws2.web_sales / ws1.web_sales) ELSE null END) > (CASE WHEN (ss1.store_sales > 0) THEN (ss2.store_sales / ss1.store_sales) ELSE null END))
-   AND ((CASE WHEN (ws2.web_sales > 0) THEN (ws3.web_sales / ws2.web_sales) ELSE null END) > (CASE WHEN (ss2.store_sales > 0) THEN (ss3.store_sales / ss2.store_sales) ELSE null END))
-ORDER BY ss1.ca_county ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q32.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q32.sql
deleted file mode 100644
index 616c1fab4d..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q32.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT sum(cs_ext_discount_amt) 'excess discount amount'
-FROM
-  catalog_sales
-, item
-, date_dim
-WHERE (i_manufact_id = 977)
-   AND (i_item_sk = cs_item_sk)
-   AND (d_date BETWEEN CAST('2000-01-27' AS DATE) AND (CAST('2000-01-27' AS DATE) + INTERVAL  '90' DAY))
-   AND (d_date_sk = cs_sold_date_sk)
-   AND (cs_ext_discount_amt > (
-      SELECT (1.3 * avg(cs_ext_discount_amt))
-      FROM
-        catalog_sales
-      , date_dim
-      WHERE (cs_item_sk = i_item_sk)
-         AND (d_date BETWEEN CAST('2000-01-27' AS DATE) AND (CAST('2000-01-27' AS DATE) + INTERVAL  '90' DAY))
-         AND (d_date_sk = cs_sold_date_sk)
-   ))
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q33.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q33.sql
deleted file mode 100644
index 81db20fefa..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q33.sql
+++ /dev/null
@@ -1,88 +0,0 @@
-WITH
-  ss AS (
-   SELECT
-     i_manufact_id
-   , sum(ss_ext_sales_price) total_sales
-   FROM
-     store_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_manufact_id IN (
-      SELECT i_manufact_id
-      FROM
-        item
-      WHERE (i_category IN ('Electronics'))
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 5)
-      AND (ss_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_manufact_id
-)
-, cs AS (
-   SELECT
-     i_manufact_id
-   , sum(cs_ext_sales_price) total_sales
-   FROM
-     catalog_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_manufact_id IN (
-      SELECT i_manufact_id
-      FROM
-        item
-      WHERE (i_category IN ('Electronics'))
-   ))
-      AND (cs_item_sk = i_item_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 5)
-      AND (cs_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_manufact_id
-)
-, ws AS (
-   SELECT
-     i_manufact_id
-   , sum(ws_ext_sales_price) total_sales
-   FROM
-     web_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_manufact_id IN (
-      SELECT i_manufact_id
-      FROM
-        item
-      WHERE (i_category IN ('Electronics'))
-   ))
-      AND (ws_item_sk = i_item_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 5)
-      AND (ws_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_manufact_id
-)
-SELECT
-  i_manufact_id
-, sum(total_sales) total_sales
-FROM
-  (
-   SELECT *
-   FROM
-     ss
-UNION ALL    SELECT *
-   FROM
-     cs
-UNION ALL    SELECT *
-   FROM
-     ws
-)  tmp1
-GROUP BY i_manufact_id
-ORDER BY total_sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q34.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q34.sql
deleted file mode 100644
index a8a65fb518..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q34.sql
+++ /dev/null
@@ -1,35 +0,0 @@
-SELECT
-  c_last_name
-, c_first_name
-, c_salutation
-, c_preferred_cust_flag
-, ss_ticket_number
-, cnt
-FROM
-  (
-   SELECT
-     ss_ticket_number
-   , ss_customer_sk
-   , count(*) cnt
-   FROM
-     store_sales
-   , date_dim
-   , store
-   , household_demographics
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_store_sk = store.s_store_sk)
-      AND (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND ((date_dim.d_dom BETWEEN 1 AND 3)
-         OR (date_dim.d_dom BETWEEN 25 AND 28))
-      AND ((household_demographics.hd_buy_potential = '>10000')
-         OR (household_demographics.hd_buy_potential = 'Unknown'))
-      AND (household_demographics.hd_vehicle_count > 0)
-      AND ((CASE WHEN (household_demographics.hd_vehicle_count > 0) THEN (household_demographics.hd_dep_count / household_demographics.hd_vehicle_count) ELSE null END) > 1.2)
-      AND (date_dim.d_year IN (1999   , (1999 + 1)   , (1999 + 2)))
-      AND (store.s_county IN ('Williamson County'   , 'Williamson County'   , 'Williamson County'   , 'Williamson County'   , 'Williamson County'   , 'Williamson County'   , 'Williamson County'   , 'Williamson County'))
-   GROUP BY ss_ticket_number, ss_customer_sk
-)  dn
-, customer
-WHERE (ss_customer_sk = c_customer_sk)
-   AND (cnt BETWEEN 15 AND 20)
-ORDER BY c_last_name ASC, c_first_name ASC, c_salutation ASC, c_preferred_cust_flag DESC, ss_ticket_number ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q35.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q35.sql
deleted file mode 100644
index 1466c41c22..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q35.sql
+++ /dev/null
@@ -1,60 +0,0 @@
-/*
-SELECT
-  ca_state
-, cd_gender
-, cd_marital_status
-, cd_dep_count
-, count(*) cnt1
-, min(cd_dep_count)
-, max(cd_dep_count)
-, avg(cd_dep_count)
-, cd_dep_employed_count
-, count(*) cnt2
-, min(cd_dep_employed_count)
-, max(cd_dep_employed_count)
-, avg(cd_dep_employed_count)
-, cd_dep_college_count
-, count(*) cnt3
-, min(cd_dep_college_count)
-, max(cd_dep_college_count)
-, avg(cd_dep_college_count)
-FROM
-  customer c
-, customer_address ca
-, customer_demographics
-WHERE (c.c_current_addr_sk = ca.ca_address_sk)
-   AND (cd_demo_sk = c.c_current_cdemo_sk)
-   AND (EXISTS (
-   SELECT *
-   FROM
-     store_sales
-   , date_dim
-   WHERE (c.c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 2002)
-      AND (d_qoy < 4)
-))
-   AND ((EXISTS (
-      SELECT *
-      FROM
-        web_sales
-      , date_dim
-      WHERE (c.c_customer_sk = ws_bill_customer_sk)
-         AND (ws_sold_date_sk = d_date_sk)
-         AND (d_year = 2002)
-         AND (d_qoy < 4)
-   ))
-      OR (EXISTS (
-      SELECT *
-      FROM
-        catalog_sales
-      , date_dim
-      WHERE (c.c_customer_sk = cs_ship_customer_sk)
-         AND (cs_sold_date_sk = d_date_sk)
-         AND (d_year = 2002)
-         AND (d_qoy < 4)
-   )))
-GROUP BY ca_state, cd_gender, cd_marital_status, cd_dep_count, cd_dep_employed_count, cd_dep_college_count
-ORDER BY ca_state ASC, cd_gender ASC, cd_marital_status ASC, cd_dep_count ASC, cd_dep_employed_count ASC, cd_dep_college_count ASC
-LIMIT 100
-*/
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q36.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q36.sql
deleted file mode 100644
index a252d4d0aa..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q36.sql
+++ /dev/null
@@ -1,27 +0,0 @@
-SELECT
-  (sum(ss_net_profit) / sum(ss_ext_sales_price)) gross_margin
-, i_category
-, i_class
-, (GROUPING (i_category) + GROUPING (i_class)) lochierarchy
-, rank() OVER (PARTITION BY (GROUPING (i_category) + GROUPING (i_class)), (CASE WHEN (GROUPING (i_class) = 0) THEN i_category END) ORDER BY (sum(ss_net_profit) / sum(ss_ext_sales_price)) ASC) rank_within_parent
-FROM
-  store_sales
-, date_dim d1
-, item
-, store
-WHERE (d1.d_year = 2001)
-   AND (d1.d_date_sk = ss_sold_date_sk)
-   AND (i_item_sk = ss_item_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (s_state IN (
-     'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'
-   , 'TN'))
-GROUP BY ROLLUP (i_category, i_class)
-ORDER BY lochierarchy DESC, (CASE WHEN (lochierarchy = 0) THEN i_category END) ASC, rank_within_parent ASC, i_category, i_class
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q37.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q37.sql
deleted file mode 100644
index e6b6848b5d..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q37.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT
-  i_item_id
-, i_item_desc
-, i_current_price
-FROM
-  item
-, inventory
-, date_dim
-, catalog_sales
-WHERE (i_current_price BETWEEN 68 AND (68 + 30))
-   AND (inv_item_sk = i_item_sk)
-   AND (d_date_sk = inv_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN CAST('2000-02-01' AS DATE) AND (CAST('2000-02-01' AS DATE) + INTERVAL  '60' DAY))
-   AND (i_manufact_id IN (677, 940, 694, 808))
-   AND (inv_quantity_on_hand BETWEEN 100 AND 500)
-   AND (cs_item_sk = i_item_sk)
-GROUP BY i_item_id, i_item_desc, i_current_price
-ORDER BY i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q38.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q38.sql
deleted file mode 100644
index 22373db5b3..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q38.sql
+++ /dev/null
@@ -1,38 +0,0 @@
-SELECT count(*)
-FROM
-  (
-   SELECT DISTINCT
-     c_last_name
-   , c_first_name
-   , d_date
-   FROM
-     store_sales
-   , date_dim
-   , customer
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_customer_sk = customer.c_customer_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-INTERSECT    SELECT DISTINCT
-     c_last_name
-   , c_first_name
-   , d_date
-   FROM
-     catalog_sales
-   , date_dim
-   , customer
-   WHERE (catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)
-      AND (catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-INTERSECT    SELECT DISTINCT
-     c_last_name
-   , c_first_name
-   , d_date
-   FROM
-     web_sales
-   , date_dim
-   , customer
-   WHERE (web_sales.ws_sold_date_sk = date_dim.d_date_sk)
-      AND (web_sales.ws_bill_customer_sk = customer.c_customer_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-)  hot_cust
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q39_1.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q39_1.sql
deleted file mode 100644
index 93ce606462..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q39_1.sql
+++ /dev/null
@@ -1,51 +0,0 @@
-WITH
-  inv AS (
-   SELECT
-     w_warehouse_name
-   , w_warehouse_sk
-   , i_item_sk
-   , d_moy
-   , stdev
-   , mean
-   , (CASE mean WHEN 0 THEN null ELSE (stdev / mean) END) cov
-   FROM
-     (
-      SELECT
-        w_warehouse_name
-      , w_warehouse_sk
-      , i_item_sk
-      , d_moy
-      , stddev_samp(inv_quantity_on_hand) stdev
-      , avg(inv_quantity_on_hand) mean
-      FROM
-        inventory
-      , item
-      , warehouse
-      , date_dim
-      WHERE (inv_item_sk = i_item_sk)
-         AND (inv_warehouse_sk = w_warehouse_sk)
-         AND (inv_date_sk = d_date_sk)
-         AND (d_year = 2001)
-      GROUP BY w_warehouse_name, w_warehouse_sk, i_item_sk, d_moy
-   )  foo
-   WHERE ((CASE mean WHEN 0 THEN 0 ELSE (stdev / mean) END) > 1)
-)
-SELECT
-  inv1.w_warehouse_sk
-, inv1.i_item_sk
-, inv1.d_moy
-, inv1.mean
-, inv1.cov
-, inv2.w_warehouse_sk
-, inv2.i_item_sk
-, inv2.d_moy
-, inv2.mean
-, inv2.cov
-FROM
-  inv inv1
-, inv inv2
-WHERE (inv1.i_item_sk = inv2.i_item_sk)
-   AND (inv1.w_warehouse_sk = inv2.w_warehouse_sk)
-   AND (inv1.d_moy = 1)
-   AND (inv2.d_moy = (1 + 1))
-ORDER BY inv1.w_warehouse_sk ASC, inv1.i_item_sk ASC, inv1.d_moy ASC, inv1.mean ASC, inv1.cov ASC, inv2.d_moy ASC, inv2.mean ASC, inv2.cov ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q39_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q39_2.sql
deleted file mode 100644
index e420e5d0be..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q39_2.sql
+++ /dev/null
@@ -1,52 +0,0 @@
-WITH
-  inv AS (
-   SELECT
-     w_warehouse_name
-   , w_warehouse_sk
-   , i_item_sk
-   , d_moy
-   , stdev
-   , mean
-   , (CASE mean WHEN 0 THEN null ELSE (stdev / mean) END) cov
-   FROM
-     (
-      SELECT
-        w_warehouse_name
-      , w_warehouse_sk
-      , i_item_sk
-      , d_moy
-      , stddev_samp(inv_quantity_on_hand) stdev
-      , avg(inv_quantity_on_hand) mean
-      FROM
-        inventory
-      , item
-      , warehouse
-      , date_dim
-      WHERE (inv_item_sk = i_item_sk)
-         AND (inv_warehouse_sk = w_warehouse_sk)
-         AND (inv_date_sk = d_date_sk)
-         AND (d_year = 2001)
-      GROUP BY w_warehouse_name, w_warehouse_sk, i_item_sk, d_moy
-   )  foo
-   WHERE ((CASE mean WHEN 0 THEN 0 ELSE (stdev / mean) END) > 1)
-)
-SELECT
-  inv1.w_warehouse_sk
-, inv1.i_item_sk
-, inv1.d_moy
-, inv1.mean
-, inv1.cov
-, inv2.w_warehouse_sk
-, inv2.i_item_sk
-, inv2.d_moy
-, inv2.mean
-, inv2.cov
-FROM
-  inv inv1
-, inv inv2
-WHERE (inv1.i_item_sk = inv2.i_item_sk)
-   AND (inv1.w_warehouse_sk = inv2.w_warehouse_sk)
-   AND (inv1.d_moy = 1)
-   AND (inv2.d_moy = (1 + 1))
-   AND (inv1.cov > 1.5)
-ORDER BY inv1.w_warehouse_sk ASC, inv1.i_item_sk ASC, inv1.d_moy ASC, inv1.mean ASC, inv1.cov ASC, inv2.d_moy ASC, inv2.mean ASC, inv2.cov ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q40.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q40.sql
deleted file mode 100644
index f737e7cfc3..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q40.sql
+++ /dev/null
@@ -1,20 +0,0 @@
-SELECT
-  w_state
-, i_item_id
-, sum((CASE WHEN (CAST(d_date AS DATE) < CAST('2000-03-11' AS DATE)) THEN (cs_sales_price - COALESCE(cr_refunded_cash, 0)) ELSE 0 END)) sales_before
-, sum((CASE WHEN (CAST(d_date AS DATE) >= CAST('2000-03-11' AS DATE)) THEN (cs_sales_price - COALESCE(cr_refunded_cash, 0)) ELSE 0 END)) sales_after
-FROM
-  catalog_sales
-LEFT JOIN catalog_returns ON (cs_order_number = cr_order_number)
-   AND (cs_item_sk = cr_item_sk)
-, warehouse
-, item
-, date_dim
-WHERE (i_current_price BETWEEN 0.99 AND 1.49)
-   AND (i_item_sk = cs_item_sk)
-   AND (cs_warehouse_sk = w_warehouse_sk)
-   AND (cs_sold_date_sk = d_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL  '30' DAY) AND (CAST('2000-03-11' AS DATE) + INTERVAL  '30' DAY))
-GROUP BY w_state, i_item_id
-ORDER BY w_state ASC, i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q41.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q41.sql
deleted file mode 100644
index 53d95e097d..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q41.sql
+++ /dev/null
@@ -1,69 +0,0 @@
-SELECT DISTINCT i_product_name
-FROM
-  item i1
-WHERE (i_manufact_id BETWEEN 738 AND (738 + 40))
-   AND ((
-      SELECT count(*) item_cnt
-      FROM
-        item
-      WHERE ((i_manufact = i1.i_manufact)
-            AND (((i_category = 'Women')
-                  AND ((i_color = 'powder')
-                     OR (i_color = 'khaki'))
-                  AND ((i_units = 'Ounce')
-                     OR (i_units = 'Oz'))
-                  AND ((i_size = 'medium')
-                     OR (i_size = 'extra large')))
-               OR ((i_category = 'Women')
-                  AND ((i_color = 'brown')
-                     OR (i_color = 'honeydew'))
-                  AND ((i_units = 'Bunch')
-                     OR (i_units = 'Ton'))
-                  AND ((i_size = 'N/A')
-                     OR (i_size = 'small')))
-               OR ((i_category = 'Men')
-                  AND ((i_color = 'floral')
-                     OR (i_color = 'deep'))
-                  AND ((i_units = 'N/A')
-                     OR (i_units = 'Dozen'))
-                  AND ((i_size = 'petite')
-                     OR (i_size = 'large')))
-               OR ((i_category = 'Men')
-                  AND ((i_color = 'light')
-                     OR (i_color = 'cornflower'))
-                  AND ((i_units = 'Box')
-                     OR (i_units = 'Pound'))
-                  AND ((i_size = 'medium')
-                     OR (i_size = 'extra large')))))
-         OR ((i_manufact = i1.i_manufact)
-            AND (((i_category = 'Women')
-                  AND ((i_color = 'midnight')
-                     OR (i_color = 'snow'))
-                  AND ((i_units = 'Pallet')
-                     OR (i_units = 'Gross'))
-                  AND ((i_size = 'medium')
-                     OR (i_size = 'extra large')))
-               OR ((i_category = 'Women')
-                  AND ((i_color = 'cyan')
-                     OR (i_color = 'papaya'))
-                  AND ((i_units = 'Cup')
-                     OR (i_units = 'Dram'))
-                  AND ((i_size = 'N/A')
-                     OR (i_size = 'small')))
-               OR ((i_category = 'Men')
-                  AND ((i_color = 'orange')
-                     OR (i_color = 'frosted'))
-                  AND ((i_units = 'Each')
-                     OR (i_units = 'Tbl'))
-                  AND ((i_size = 'petite')
-                     OR (i_size = 'large')))
-               OR ((i_category = 'Men')
-                  AND ((i_color = 'forest')
-                     OR (i_color = 'ghost'))
-                  AND ((i_units = 'Lb')
-                     OR (i_units = 'Bundle'))
-                  AND ((i_size = 'medium')
-                     OR (i_size = 'extra large')))))
-   ) > 0)
-ORDER BY i_product_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q42.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q42.sql
deleted file mode 100644
index e0250f4037..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q42.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-SELECT
-  dt.d_year
-, item.i_category_id
-, item.i_category
-, sum(ss_ext_sales_price)
-FROM
-  date_dim dt
-, store_sales
-, item
-WHERE (dt.d_date_sk = store_sales.ss_sold_date_sk)
-   AND (store_sales.ss_item_sk = item.i_item_sk)
-   AND (item.i_manager_id = 1)
-   AND (dt.d_moy = 11)
-   AND (dt.d_year = 2000)
-GROUP BY dt.d_year, item.i_category_id, item.i_category
-ORDER BY sum(ss_ext_sales_price) DESC, dt.d_year ASC, item.i_category_id ASC, item.i_category ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q43.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q43.sql
deleted file mode 100644
index f3bd323918..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q43.sql
+++ /dev/null
@@ -1,21 +0,0 @@
-SELECT
-  s_store_name
-, s_store_id
-, sum((CASE WHEN (d_day_name = 'Sunday') THEN ss_sales_price ELSE null END)) sun_sales
-, sum((CASE WHEN (d_day_name = 'Monday') THEN ss_sales_price ELSE null END)) mon_sales
-, sum((CASE WHEN (d_day_name = 'Tuesday') THEN ss_sales_price ELSE null END)) tue_sales
-, sum((CASE WHEN (d_day_name = 'Wednesday') THEN ss_sales_price ELSE null END)) wed_sales
-, sum((CASE WHEN (d_day_name = 'Thursday') THEN ss_sales_price ELSE null END)) thu_sales
-, sum((CASE WHEN (d_day_name = 'Friday') THEN ss_sales_price ELSE null END)) fri_sales
-, sum((CASE WHEN (d_day_name = 'Saturday') THEN ss_sales_price ELSE null END)) sat_sales
-FROM
-  date_dim
-, store_sales
-, store
-WHERE (d_date_sk = ss_sold_date_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (s_gmt_offset = -5)
-   AND (d_year = 2000)
-GROUP BY s_store_name, s_store_id
-ORDER BY s_store_name ASC, s_store_id ASC, sun_sales ASC, mon_sales ASC, tue_sales ASC, wed_sales ASC, thu_sales ASC, fri_sales ASC, sat_sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q44.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q44.sql
deleted file mode 100644
index 8adbd59413..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q44.sql
+++ /dev/null
@@ -1,68 +0,0 @@
-SELECT
-  asceding.rnk
-, i1.i_product_name best_performing
-, i2.i_product_name worst_performing
-FROM
-  (
-   SELECT *
-   FROM
-     (
-      SELECT
-        item_sk
-      , rank() OVER (ORDER BY rank_col ASC) rnk
-      FROM
-        (
-         SELECT
-           ss_item_sk item_sk
-         , avg(ss_net_profit) rank_col
-         FROM
-           store_sales ss1
-         WHERE (ss_store_sk = 4)
-         GROUP BY ss_item_sk
-         HAVING (avg(ss_net_profit) > (0.9 * (
-                  SELECT avg(ss_net_profit) rank_col
-                  FROM
-                    store_sales
-                  WHERE (ss_store_sk = 4)
-                     AND (ss_addr_sk IS NULL)
-                  GROUP BY ss_store_sk
-               )))
-      )  v1
-   )  v11
-   WHERE (rnk < 11)
-)  asceding
-, (
-   SELECT *
-   FROM
-     (
-      SELECT
-        item_sk
-      , rank() OVER (ORDER BY rank_col DESC) rnk
-      FROM
-        (
-         SELECT
-           ss_item_sk item_sk
-         , avg(ss_net_profit) rank_col
-         FROM
-           store_sales ss1
-         WHERE (ss_store_sk = 4)
-         GROUP BY ss_item_sk
-         HAVING (avg(ss_net_profit) > (CAST('0.9' AS DECIMAL) * (
-                  SELECT avg(ss_net_profit) rank_col
-                  FROM
-                    store_sales
-                  WHERE (ss_store_sk = 4)
-                     AND (ss_addr_sk IS NULL)
-                  GROUP BY ss_store_sk
-               )))
-      )  v2
-   )  v21
-   WHERE (rnk < 11)
-)  descending
-, item i1
-, item i2
-WHERE (asceding.rnk = descending.rnk)
-   AND (i1.i_item_sk = asceding.item_sk)
-   AND (i2.i_item_sk = descending.item_sk)
-ORDER BY asceding.rnk ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q45.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q45.sql
deleted file mode 100644
index fe5bf82ef8..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q45.sql
+++ /dev/null
@@ -1,28 +0,0 @@
-/*
-SELECT
-  ca_zip
-, ca_city
-, sum(ws_sales_price)
-FROM
-  web_sales
-, customer
-, customer_address
-, date_dim
-, item
-WHERE (ws_bill_customer_sk = c_customer_sk)
-   AND (c_current_addr_sk = ca_address_sk)
-   AND (ws_item_sk = i_item_sk)
-   AND ((substr(ca_zip, 1, 5) IN ('85669'   , '86197'   , '88274'   , '83405'   , '86475'   , '85392'   , '85460'   , '80348'   , '81792'))
-      OR (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_item_sk IN (2      , 3      , 5      , 7      , 11      , 13      , 17      , 19      , 23      , 29))
-   )))
-   AND (ws_sold_date_sk = d_date_sk)
-   AND (d_qoy = 2)
-   AND (d_year = 2001)
-GROUP BY ca_zip, ca_city
-ORDER BY ca_zip ASC, ca_city ASC
-LIMIT 100
-*/
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q46.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q46.sql
deleted file mode 100644
index d1816ff5b1..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q46.sql
+++ /dev/null
@@ -1,40 +0,0 @@
-SELECT
-  c_last_name
-, c_first_name
-, ca_city
-, bought_city
-, ss_ticket_number
-, amt
-, profit
-FROM
-  (
-   SELECT
-     ss_ticket_number
-   , ss_customer_sk
-   , ca_city bought_city
-   , sum(ss_coupon_amt) amt
-   , sum(ss_net_profit) profit
-   FROM
-     store_sales
-   , date_dim
-   , store
-   , household_demographics
-   , customer_address
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_store_sk = store.s_store_sk)
-      AND (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (store_sales.ss_addr_sk = customer_address.ca_address_sk)
-      AND ((household_demographics.hd_dep_count = 4)
-         OR (household_demographics.hd_vehicle_count = 3))
-      AND (date_dim.d_dow IN (6   , 0))
-      AND (date_dim.d_year IN (1999   , (1999 + 1)   , (1999 + 2)))
-      AND (store.s_city IN ('Fairview'   , 'Midway'   , 'Fairview'   , 'Fairview'   , 'Fairview'))
-   GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city
-)  dn
-, customer
-, customer_address current_addr
-WHERE (ss_customer_sk = c_customer_sk)
-   AND (customer.c_current_addr_sk = current_addr.ca_address_sk)
-   AND (current_addr.ca_city <> bought_city)
-ORDER BY c_last_name ASC, c_first_name ASC, ca_city ASC, bought_city ASC, ss_ticket_number ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q47.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q47.sql
deleted file mode 100644
index 00e6eb4ca7..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q47.sql
+++ /dev/null
@@ -1,62 +0,0 @@
-WITH
-  v1 AS (
-   SELECT
-     i_category
-   , i_brand
-   , s_store_name
-   , s_company_name
-   , d_year
-   , d_moy
-   , sum(ss_sales_price) sum_sales
-   , avg(sum(ss_sales_price)) OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name, d_year) avg_monthly_sales
-   , rank() OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name ORDER BY d_year ASC, d_moy ASC) rn
-   FROM
-     item
-   , store_sales
-   , date_dim
-   , store
-   WHERE (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND ((d_year = 1999)
-         OR ((d_year = (1999 - 1))
-            AND (d_moy = 12))
-         OR ((d_year = (1999 + 1))
-            AND (d_moy = 1)))
-   GROUP BY i_category, i_brand, s_store_name, s_company_name, d_year, d_moy
-)
-, v2 AS (
-   SELECT
-     v1.i_category
-   , v1.i_brand
-   , v1.s_store_name
-   , v1.s_company_name
-   , v1.d_year
-   , v1.d_moy
-   , v1.avg_monthly_sales
-   , v1.sum_sales
-   , v1_lag.sum_sales psum
-   , v1_lead.sum_sales nsum
-   FROM
-     v1
-   , v1 v1_lag
-   , v1 v1_lead
-   WHERE (v1.i_category = v1_lag.i_category)
-      AND (v1.i_category = v1_lead.i_category)
-      AND (v1.i_brand = v1_lag.i_brand)
-      AND (v1.i_brand = v1_lead.i_brand)
-      AND (v1.s_store_name = v1_lag.s_store_name)
-      AND (v1.s_store_name = v1_lead.s_store_name)
-      AND (v1.s_company_name = v1_lag.s_company_name)
-      AND (v1.s_company_name = v1_lead.s_company_name)
-      AND (v1.rn = (v1_lag.rn + 1))
-      AND (v1.rn = (v1_lead.rn - 1))
-)
-SELECT *
-FROM
-  v2
-WHERE (d_year = 1999)
-   AND (avg_monthly_sales > 0)
-   AND ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1)
-ORDER BY (sum_sales - avg_monthly_sales) ASC, 3 ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q48.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q48.sql
deleted file mode 100644
index f304f6ad80..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q48.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-SELECT sum(ss_quantity)
-FROM
-  store_sales
-, store
-, customer_demographics
-, customer_address
-, date_dim
-WHERE (s_store_sk = ss_store_sk)
-   AND (ss_sold_date_sk = d_date_sk)
-   AND (d_year = 2000)
-   AND (((cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'M')
-         AND (cd_education_status = '4 yr Degree')
-         AND (ss_sales_price BETWEEN 100.00 AND 150.00))
-      OR ((cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'D')
-         AND (cd_education_status = '2 yr Degree')
-         AND (ss_sales_price BETWEEN 50.00 AND 100.00))
-      OR ((cd_demo_sk = ss_cdemo_sk)
-         AND (cd_marital_status = 'S')
-         AND (cd_education_status = 'College')
-         AND (ss_sales_price BETWEEN 150.00 AND 200.00)))
-   AND (((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('CO'      , 'OH'      , 'TX'))
-         AND (ss_net_profit BETWEEN 0 AND 2000))
-      OR ((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('OR'      , 'MN'      , 'KY'))
-         AND (ss_net_profit BETWEEN 150 AND 3000))
-      OR ((ss_addr_sk = ca_address_sk)
-         AND (ca_country = 'United States')
-         AND (ca_state IN ('VA'      , 'CA'      , 'MS'))
-         AND (ss_net_profit BETWEEN 50 AND 25000)))
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49.sql
deleted file mode 100644
index 35f160013d..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49.sql
+++ /dev/null
@@ -1,118 +0,0 @@
--- 目前union后跟得order没有效果，需要在外面包一层select后再order
-
-SELECT channel, item, return_ratio, return_rank, currency_rank
-FROM
-(SELECT
-  'web' channel
-, web.item
-, web.return_ratio
-, web.return_rank
-, web.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        ws.ws_item_sk item
-      , (CAST(sum(COALESCE(wr.wr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        web_sales ws
-      LEFT JOIN web_returns wr ON (ws.ws_order_number = wr.wr_order_number)
-         AND (ws.ws_item_sk = wr.wr_item_sk)
-      , date_dim
-      WHERE (wr.wr_return_amt > 10000)
-         AND (ws.ws_net_profit > 1)
-         AND (ws.ws_net_paid > 0)
-         AND (ws.ws_quantity > 0)
-         AND (ws_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY ws.ws_item_sk
-   )  in_web
-)  web
-WHERE (web.return_rank <= 10)
-   OR (web.currency_rank <= 10)
-UNION SELECT
-  'catalog' channel
-, catalog.item
-, catalog.return_ratio
-, catalog.return_rank
-, catalog.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        cs.cs_item_sk item
-      , (CAST(sum(COALESCE(cr.cr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        catalog_sales cs
-      LEFT JOIN catalog_returns cr ON (cs.cs_order_number = cr.cr_order_number)
-         AND (cs.cs_item_sk = cr.cr_item_sk)
-      , date_dim
-      WHERE (cr.cr_return_amount > 10000)
-         AND (cs.cs_net_profit > 1)
-         AND (cs.cs_net_paid > 0)
-         AND (cs.cs_quantity > 0)
-         AND (cs_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY cs.cs_item_sk
-   )  in_cat
-) catalog 
-WHERE (catalog.return_rank <= 10)
-   OR (catalog.currency_rank <= 10)
-UNION SELECT
-  'store' channel
-, store.item
-, store.return_ratio
-, store.return_rank
-, store.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        sts.ss_item_sk item
-      , (CAST(sum(COALESCE(sr.sr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        store_sales sts
-      LEFT JOIN store_returns sr ON (sts.ss_ticket_number = sr.sr_ticket_number)
-         AND (sts.ss_item_sk = sr.sr_item_sk)
-      , date_dim
-      WHERE (sr.sr_return_amt > 10000)
-         AND (sts.ss_net_profit > 1)
-         AND (sts.ss_net_paid > 0)
-         AND (sts.ss_quantity > 0)
-         AND (ss_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY sts.ss_item_sk
-   )  in_store
-)  store
-WHERE (store.return_rank <= 10)
-   OR (store.currency_rank <= 10)
-) r
-ORDER BY 1 ASC, 4 ASC, 5 ASC, 2 ASC
-LIMIT 100;
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49_rewrite.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49_rewrite.sql
deleted file mode 100644
index c01f53db6e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49_rewrite.sql
+++ /dev/null
@@ -1,113 +0,0 @@
-(SELECT
-  'web' channel
-, web.item
-, web.return_ratio
-, web.return_rank
-, web.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        ws.ws_item_sk item
-      , (CAST(sum(COALESCE(wr.wr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        web_sales ws
-      LEFT JOIN web_returns wr ON (ws.ws_order_number = wr.wr_order_number)
-         AND (ws.ws_item_sk = wr.wr_item_sk)
-      , date_dim
-      WHERE (wr.wr_return_amt > 10000)
-         AND (ws.ws_net_profit > 1)
-         AND (ws.ws_net_paid > 0)
-         AND (ws.ws_quantity > 0)
-         AND (ws_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY ws.ws_item_sk
-   )  in_web
-)  web
-WHERE (web.return_rank <= 10)
-   OR (web.currency_rank <= 10))
-UNION (SELECT
-  'catalog' channel
-, catalog.item
-, catalog.return_ratio
-, catalog.return_rank
-, catalog.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        cs.cs_item_sk item
-      , (CAST(sum(COALESCE(cr.cr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        catalog_sales cs
-      LEFT JOIN catalog_returns cr ON (cs.cs_order_number = cr.cr_order_number)
-         AND (cs.cs_item_sk = cr.cr_item_sk)
-      , date_dim
-      WHERE (cr.cr_return_amount > 10000)
-         AND (cs.cs_net_profit > 1)
-         AND (cs.cs_net_paid > 0)
-         AND (cs.cs_quantity > 0)
-         AND (cs_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY cs.cs_item_sk
-   )  in_cat
-) catalog 
-WHERE (catalog.return_rank <= 10)
-   OR (catalog.currency_rank <= 10))
-UNION (SELECT
-  'store' channel
-, store.item
-, store.return_ratio
-, store.return_rank
-, store.currency_rank
-FROM
-  (
-   SELECT
-     item
-   , return_ratio
-   , currency_ratio
-   , rank() OVER (ORDER BY return_ratio ASC) return_rank
-   , rank() OVER (ORDER BY currency_ratio ASC) currency_rank
-   FROM
-     (
-      SELECT
-        sts.ss_item_sk item
-      , (CAST(sum(COALESCE(sr.sr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_quantity, 0)) AS DECIMALV3(15,4))) return_ratio
-      , (CAST(sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio
-      FROM
-        store_sales sts
-      LEFT JOIN store_returns sr ON (sts.ss_ticket_number = sr.sr_ticket_number)
-         AND (sts.ss_item_sk = sr.sr_item_sk)
-      , date_dim
-      WHERE (sr.sr_return_amt > 10000)
-         AND (sts.ss_net_profit > 1)
-         AND (sts.ss_net_paid > 0)
-         AND (sts.ss_quantity > 0)
-         AND (ss_sold_date_sk = d_date_sk)
-         AND (d_year = 2001)
-         AND (d_moy = 12)
-      GROUP BY sts.ss_item_sk
-   )  in_store
-)  store
-WHERE (store.return_rank <= 10)
-   OR (store.currency_rank <= 10))
-ORDER BY 1 ASC, 4 ASC, 5 ASC, 2 ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q50.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q50.sql
deleted file mode 100644
index 9c3f0694ac..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q50.sql
+++ /dev/null
@@ -1,36 +0,0 @@
-SELECT
-  s_store_name
-, s_company_id
-, s_street_number
-, s_street_name
-, s_street_type
-, s_suite_number
-, s_city
-, s_county
-, s_state
-, s_zip
-, sum((CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) <= 30) THEN 1 ELSE 0 END)) '30 days'
-, sum((CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 30)
-   AND ((sr_returned_date_sk - ss_sold_date_sk) <= 60) THEN 1 ELSE 0 END)) '31-60 days'
-, sum((CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 60)
-   AND ((sr_returned_date_sk - ss_sold_date_sk) <= 90) THEN 1 ELSE 0 END)) '61-90 days'
-, sum((CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 90)
-   AND ((sr_returned_date_sk - ss_sold_date_sk) <= 120) THEN 1 ELSE 0 END)) '91-120 days'
-, sum((CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 120) THEN 1 ELSE 0 END)) '>120 days'
-FROM
-  store_sales
-, store_returns
-, store
-, date_dim d1
-, date_dim d2
-WHERE (d2.d_year = 2001)
-   AND (d2.d_moy = 8)
-   AND (ss_ticket_number = sr_ticket_number)
-   AND (ss_item_sk = sr_item_sk)
-   AND (ss_sold_date_sk = d1.d_date_sk)
-   AND (sr_returned_date_sk = d2.d_date_sk)
-   AND (ss_customer_sk = sr_customer_sk)
-   AND (ss_store_sk = s_store_sk)
-GROUP BY s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip
-ORDER BY s_store_name ASC, s_company_id ASC, s_street_number ASC, s_street_name ASC, s_street_type ASC, s_suite_number ASC, s_city ASC, s_county ASC, s_state ASC, s_zip ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q51.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q51.sql
deleted file mode 100644
index ebe13fd124..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q51.sql
+++ /dev/null
@@ -1,53 +0,0 @@
-WITH
-  web_v1 AS (
-   SELECT
-     ws_item_sk item_sk
-   , d_date
-   , sum(sum(ws_sales_price)) OVER (PARTITION BY ws_item_sk ORDER BY d_date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) cume_sales
-   FROM
-     web_sales
-   , date_dim
-   WHERE (ws_sold_date_sk = d_date_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-      AND (ws_item_sk IS NOT NULL)
-   GROUP BY ws_item_sk, d_date
-)
-, store_v1 AS (
-   SELECT
-     ss_item_sk item_sk
-   , d_date
-   , sum(sum(ss_sales_price)) OVER (PARTITION BY ss_item_sk ORDER BY d_date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) cume_sales
-   FROM
-     store_sales
-   , date_dim
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-      AND (ss_item_sk IS NOT NULL)
-   GROUP BY ss_item_sk, d_date
-)
-SELECT *
-FROM
-  (
-   SELECT
-     item_sk
-   , d_date
-   , web_sales
-   , store_sales
-   , max(web_sales) OVER (PARTITION BY item_sk ORDER BY d_date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) web_cumulative
-   , max(store_sales) OVER (PARTITION BY item_sk ORDER BY d_date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) store_cumulative
-   FROM
-     (
-      SELECT
-        (CASE WHEN (web.item_sk IS NOT NULL) THEN web.item_sk ELSE store.item_sk END) item_sk
-      , (CASE WHEN (web.d_date IS NOT NULL) THEN web.d_date ELSE store.d_date END) d_date
-      , web.cume_sales web_sales
-      , store.cume_sales store_sales
-      FROM
-        web_v1 web
-      FULL JOIN store_v1 store ON (web.item_sk = store.item_sk)
-         AND (web.d_date = store.d_date)
-   )  x
-)  y
-WHERE (web_cumulative > store_cumulative)
-ORDER BY item_sk ASC, d_date ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q52.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q52.sql
deleted file mode 100644
index 80e2323007..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q52.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-SELECT
-  dt.d_year
-, item.i_brand_id brand_id
-, item.i_brand brand
-, sum(ss_ext_sales_price) ext_price
-FROM
-  date_dim dt
-, store_sales
-, item
-WHERE (dt.d_date_sk = store_sales.ss_sold_date_sk)
-   AND (store_sales.ss_item_sk = item.i_item_sk)
-   AND (item.i_manager_id = 1)
-   AND (dt.d_moy = 11)
-   AND (dt.d_year = 2000)
-GROUP BY dt.d_year, item.i_brand, item.i_brand_id
-ORDER BY dt.d_year ASC, ext_price DESC, brand_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q53.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q53.sql
deleted file mode 100644
index e3f1368778..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q53.sql
+++ /dev/null
@@ -1,27 +0,0 @@
-SELECT *
-FROM
-  (
-   SELECT
-     i_manufact_id
-   , sum(ss_sales_price) sum_sales
-   , avg(sum(ss_sales_price)) OVER (PARTITION BY i_manufact_id) avg_quarterly_sales
-   FROM
-     item
-   , store_sales
-   , date_dim
-   , store
-   WHERE (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (d_month_seq IN (1200   , (1200 + 1)   , (1200 + 2)   , (1200 + 3)   , (1200 + 4)   , (1200 + 5)   , (1200 + 6)   , (1200 + 7)   , (1200 + 8)   , (1200 + 9)   , (1200 + 10)   , (1200 + 11)))
-      AND (((i_category IN ('Books'         , 'Children'         , 'Electronics'))
-            AND (i_class IN ('personal'         , 'portable'         , 'reference'         , 'self-help'))
-            AND (i_brand IN ('scholaramalgamalg #14'         , 'scholaramalgamalg #7'         , 'exportiunivamalg #9'         , 'scholaramalgamalg #9')))
-         OR ((i_category IN ('Women'         , 'Music'         , 'Men'))
-            AND (i_class IN ('accessories'         , 'classical'         , 'fragrances'         , 'pants'))
-            AND (i_brand IN ('amalgimporto #1'         , 'edu packscholar #1'         , 'exportiimporto #1'         , 'importoamalg #1'))))
-   GROUP BY i_manufact_id, d_qoy
-)  tmp1
-WHERE ((CASE WHEN (avg_quarterly_sales > 0) THEN (abs((sum_sales - avg_quarterly_sales)) / avg_quarterly_sales) ELSE null END) > 0.1)
-ORDER BY avg_quarterly_sales ASC, sum_sales ASC, i_manufact_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q54.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q54.sql
deleted file mode 100644
index f7507ebc04..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q54.sql
+++ /dev/null
@@ -1,75 +0,0 @@
-WITH
-  my_customers AS (
-   SELECT DISTINCT
-     c_customer_sk
-   , c_current_addr_sk
-   FROM
-     (
-      SELECT
-        cs_sold_date_sk sold_date_sk
-      , cs_bill_customer_sk customer_sk
-      , cs_item_sk item_sk
-      FROM
-        catalog_sales
-UNION ALL       SELECT
-        ws_sold_date_sk sold_date_sk
-      , ws_bill_customer_sk customer_sk
-      , ws_item_sk item_sk
-      FROM
-        web_sales
-   )  cs_or_ws_sales
-   , item
-   , date_dim
-   , customer
-   WHERE (sold_date_sk = d_date_sk)
-      AND (item_sk = i_item_sk)
-      AND (i_category = 'Women')
-      AND (i_class = 'maternity')
-      AND (c_customer_sk = cs_or_ws_sales.customer_sk)
-      AND (d_moy = 12)
-      AND (d_year = 1998)
-)
-, my_revenue AS (
-   SELECT
-     c_customer_sk
-   , sum(ss_ext_sales_price) revenue
-   FROM
-     my_customers
-   , store_sales
-   , customer_address
-   , store
-   , date_dim
-   WHERE (c_current_addr_sk = ca_address_sk)
-      AND (ca_county = s_county)
-      AND (ca_state = s_state)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (c_customer_sk = ss_customer_sk)
-      AND (d_month_seq BETWEEN (
-      SELECT DISTINCT (d_month_seq + 1)
-      FROM
-        date_dim
-      WHERE (d_year = 1998)
-         AND (d_moy = 12)
-   ) AND (
-      SELECT DISTINCT (d_month_seq + 3)
-      FROM
-        date_dim
-      WHERE (d_year = 1998)
-         AND (d_moy = 12)
-   ))
-   GROUP BY c_customer_sk
-)
-, segments AS (
-   SELECT CAST((revenue / 50) AS INTEGER) segment
-   FROM
-     my_revenue
-)
-SELECT
-  segment
-, count(*) num_customers
-, (segment * 50) segment_base
-FROM
-  segments
-GROUP BY segment
-ORDER BY segment ASC, num_customers ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q55.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q55.sql
deleted file mode 100644
index cc82276df4..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q55.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-SELECT
-  i_brand_id brand_id
-, i_brand brand
-, sum(ss_ext_sales_price) ext_price
-FROM
-  date_dim
-, store_sales
-, item
-WHERE (d_date_sk = ss_sold_date_sk)
-   AND (ss_item_sk = i_item_sk)
-   AND (i_manager_id = 28)
-   AND (d_moy = 11)
-   AND (d_year = 1999)
-GROUP BY i_brand, i_brand_id
-ORDER BY ext_price DESC, i_brand_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q56.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q56.sql
deleted file mode 100644
index 187d80503b..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q56.sql
+++ /dev/null
@@ -1,88 +0,0 @@
-WITH
-  ss AS (
-   SELECT
-     i_item_id
-   , sum(ss_ext_sales_price) total_sales
-   FROM
-     store_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_color IN ('slate'      , 'blanched'      , 'burnished'))
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy = 2)
-      AND (ss_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-, cs AS (
-   SELECT
-     i_item_id
-   , sum(cs_ext_sales_price) total_sales
-   FROM
-     catalog_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_color IN ('slate'      , 'blanched'      , 'burnished'))
-   ))
-      AND (cs_item_sk = i_item_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy = 2)
-      AND (cs_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-, ws AS (
-   SELECT
-     i_item_id
-   , sum(ws_ext_sales_price) total_sales
-   FROM
-     web_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_color IN ('slate'      , 'blanched'      , 'burnished'))
-   ))
-      AND (ws_item_sk = i_item_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy = 2)
-      AND (ws_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-SELECT
-  i_item_id
-, sum(total_sales) total_sales
-FROM
-  (
-   SELECT *
-   FROM
-     ss
-UNION ALL    SELECT *
-   FROM
-     cs
-UNION ALL    SELECT *
-   FROM
-     ws
-)  tmp1
-GROUP BY i_item_id
-ORDER BY total_sales ASC, i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q57.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q57.sql
deleted file mode 100644
index 6dcbd4ea5b..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q57.sql
+++ /dev/null
@@ -1,58 +0,0 @@
-WITH
-  v1 AS (
-   SELECT
-     i_category
-   , i_brand
-   , cc_name
-   , d_year
-   , d_moy
-   , sum(cs_sales_price) sum_sales
-   , avg(sum(cs_sales_price)) OVER (PARTITION BY i_category, i_brand, cc_name, d_year) avg_monthly_sales
-   , rank() OVER (PARTITION BY i_category, i_brand, cc_name ORDER BY d_year ASC, d_moy ASC) rn
-   FROM
-     item
-   , catalog_sales
-   , date_dim
-   , call_center
-   WHERE (cs_item_sk = i_item_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (cc_call_center_sk = cs_call_center_sk)
-      AND ((d_year = 1999)
-         OR ((d_year = (1999 - 1))
-            AND (d_moy = 12))
-         OR ((d_year = (1999 + 1))
-            AND (d_moy = 1)))
-   GROUP BY i_category, i_brand, cc_name, d_year, d_moy
-)
-, v2 AS (
-   SELECT
-     v1.i_category
-   , v1.i_brand
-   , v1.cc_name
-   , v1.d_year
-   , v1.d_moy
-   , v1.avg_monthly_sales
-   , v1.sum_sales
-   , v1_lag.sum_sales psum
-   , v1_lead.sum_sales nsum
-   FROM
-     v1
-   , v1 v1_lag
-   , v1 v1_lead
-   WHERE (v1.i_category = v1_lag.i_category)
-      AND (v1.i_category = v1_lead.i_category)
-      AND (v1.i_brand = v1_lag.i_brand)
-      AND (v1.i_brand = v1_lead.i_brand)
-      AND (v1.cc_name = v1_lag.cc_name)
-      AND (v1.cc_name = v1_lead.cc_name)
-      AND (v1.rn = (v1_lag.rn + 1))
-      AND (v1.rn = (v1_lead.rn - 1))
-)
-SELECT *
-FROM
-  v2
-WHERE (d_year = 1999)
-   AND (avg_monthly_sales > 0)
-   AND ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1)
-ORDER BY (sum_sales - avg_monthly_sales) ASC, 3 ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q58.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q58.sql
deleted file mode 100644
index ae222f2bf9..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q58.sql
+++ /dev/null
@@ -1,93 +0,0 @@
-WITH
-  ss_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(ss_ext_sales_price) ss_item_rev
-   FROM
-     store_sales
-   , item
-   , date_dim
-   WHERE (ss_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq = (
-            SELECT d_week_seq
-            FROM
-              date_dim
-            WHERE (d_date = CAST('2000-01-03' AS DATE))
-         ))
-   ))
-      AND (ss_sold_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-, cs_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(cs_ext_sales_price) cs_item_rev
-   FROM
-     catalog_sales
-   , item
-   , date_dim
-   WHERE (cs_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq = (
-            SELECT d_week_seq
-            FROM
-              date_dim
-            WHERE (d_date = CAST('2000-01-03' AS DATE))
-         ))
-   ))
-      AND (cs_sold_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-, ws_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(ws_ext_sales_price) ws_item_rev
-   FROM
-     web_sales
-   , item
-   , date_dim
-   WHERE (ws_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq = (
-            SELECT d_week_seq
-            FROM
-              date_dim
-            WHERE (d_date = CAST('2000-01-03' AS DATE))
-         ))
-   ))
-      AND (ws_sold_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-SELECT
-  ss_items.item_id
-, ss_item_rev
-, ((ss_item_rev / ((ss_item_rev + cs_item_rev) + ws_item_rev)) / 3) * 100 ss_dev
-, cs_item_rev
-, ((cs_item_rev / ((ss_item_rev + cs_item_rev) + ws_item_rev)) / 3) * 100 cs_dev
-, ws_item_rev
-, ((ws_item_rev / ((ss_item_rev + cs_item_rev) + ws_item_rev)) / 3) * 100 ws_dev
-, (((ss_item_rev + cs_item_rev) + ws_item_rev) / 3) average
-FROM
-  ss_items
-, cs_items
-, ws_items
-WHERE (ss_items.item_id = cs_items.item_id)
-   AND (ss_items.item_id = ws_items.item_id)
-   AND (ss_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev)
-   AND (ss_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev)
-   AND (cs_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev)
-   AND (cs_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev)
-   AND (ws_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev)
-   AND (ws_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev)
-ORDER BY ss_items.item_id ASC, ss_item_rev ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q59.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q59.sql
deleted file mode 100644
index d359a6bd26..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q59.sql
+++ /dev/null
@@ -1,74 +0,0 @@
-WITH
-  wss AS (
-   SELECT
-     d_week_seq
-   , ss_store_sk
-   , sum((CASE WHEN (d_day_name = 'Sunday') THEN ss_sales_price ELSE null END)) sun_sales
-   , sum((CASE WHEN (d_day_name = 'Monday') THEN ss_sales_price ELSE null END)) mon_sales
-   , sum((CASE WHEN (d_day_name = 'Tuesday') THEN ss_sales_price ELSE null END)) tue_sales
-   , sum((CASE WHEN (d_day_name = 'Wednesday') THEN ss_sales_price ELSE null END)) wed_sales
-   , sum((CASE WHEN (d_day_name = 'Thursday ') THEN ss_sales_price ELSE null END)) thu_sales
-   , sum((CASE WHEN (d_day_name = 'Friday') THEN ss_sales_price ELSE null END)) fri_sales
-   , sum((CASE WHEN (d_day_name = 'Saturday') THEN ss_sales_price ELSE null END)) sat_sales
-   FROM
-     store_sales
-   , date_dim
-   WHERE (d_date_sk = ss_sold_date_sk)
-   GROUP BY d_week_seq, ss_store_sk
-)
-SELECT
-  s_store_name1
-, s_store_id1
-, d_week_seq1
-, (sun_sales1 / sun_sales2)
-, (mon_sales1 / mon_sales2)
-, (tue_sales1 / tue_sales2)
-, (wed_sales1 / wed_sales2)
-, (thu_sales1 / thu_sales2)
-, (fri_sales1 / fri_sales2)
-, (sat_sales1 / sat_sales2)
-FROM
-  (
-   SELECT
-     s_store_name s_store_name1
-   , wss.d_week_seq d_week_seq1
-   , s_store_id s_store_id1
-   , sun_sales sun_sales1
-   , mon_sales mon_sales1
-   , tue_sales tue_sales1
-   , wed_sales wed_sales1
-   , thu_sales thu_sales1
-   , fri_sales fri_sales1
-   , sat_sales sat_sales1
-   FROM
-     wss
-   , store
-   , date_dim d
-   WHERE (d.d_week_seq = wss.d_week_seq)
-      AND (ss_store_sk = s_store_sk)
-      AND (d_month_seq BETWEEN 1212 AND (1212 + 11))
-)  y
-, (
-   SELECT
-     s_store_name s_store_name2
-   , wss.d_week_seq d_week_seq2
-   , s_store_id s_store_id2
-   , sun_sales sun_sales2
-   , mon_sales mon_sales2
-   , tue_sales tue_sales2
-   , wed_sales wed_sales2
-   , thu_sales thu_sales2
-   , fri_sales fri_sales2
-   , sat_sales sat_sales2
-   FROM
-     wss
-   , store
-   , date_dim d
-   WHERE (d.d_week_seq = wss.d_week_seq)
-      AND (ss_store_sk = s_store_sk)
-      AND (d_month_seq BETWEEN (1212 + 12) AND (1212 + 23))
-)  x
-WHERE (s_store_id1 = s_store_id2)
-   AND (d_week_seq1 = (d_week_seq2 - 52))
-ORDER BY s_store_name1 ASC, s_store_id1 ASC, d_week_seq1 ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q60.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q60.sql
deleted file mode 100644
index d948fdbecd..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q60.sql
+++ /dev/null
@@ -1,88 +0,0 @@
-WITH
-  ss AS (
-   SELECT
-     i_item_id
-   , sum(ss_ext_sales_price) total_sales
-   FROM
-     store_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_category IN ('Music'))
-   ))
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 9)
-      AND (ss_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-, cs AS (
-   SELECT
-     i_item_id
-   , sum(cs_ext_sales_price) total_sales
-   FROM
-     catalog_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_category IN ('Music'))
-   ))
-      AND (cs_item_sk = i_item_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 9)
-      AND (cs_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-, ws AS (
-   SELECT
-     i_item_id
-   , sum(ws_ext_sales_price) total_sales
-   FROM
-     web_sales
-   , date_dim
-   , customer_address
-   , item
-   WHERE (i_item_id IN (
-      SELECT i_item_id
-      FROM
-        item
-      WHERE (i_category IN ('Music'))
-   ))
-      AND (ws_item_sk = i_item_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year = 1998)
-      AND (d_moy = 9)
-      AND (ws_bill_addr_sk = ca_address_sk)
-      AND (ca_gmt_offset = -5)
-   GROUP BY i_item_id
-)
-SELECT
-  i_item_id
-, sum(total_sales) total_sales
-FROM
-  (
-   SELECT *
-   FROM
-     ss
-UNION ALL    SELECT *
-   FROM
-     cs
-UNION ALL    SELECT *
-   FROM
-     ws
-)  tmp1
-GROUP BY i_item_id
-ORDER BY i_item_id ASC, total_sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q61.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q61.sql
deleted file mode 100644
index ebe0bef1b5..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q61.sql
+++ /dev/null
@@ -1,52 +0,0 @@
-SELECT
-  promotions
-, total
-, ((CAST(promotions AS DECIMALV3(15,4)) / CAST(total AS DECIMALV3(15,4))) * 100)
-FROM
-  (
-   SELECT sum(ss_ext_sales_price) promotions
-   FROM
-     store_sales
-   , store
-   , promotion
-   , date_dim
-   , customer
-   , customer_address
-   , item
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (ss_promo_sk = p_promo_sk)
-      AND (ss_customer_sk = c_customer_sk)
-      AND (ca_address_sk = c_current_addr_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (ca_gmt_offset = -5)
-      AND (i_category = 'Jewelry')
-      AND ((p_channel_dmail = 'Y')
-         OR (p_channel_email = 'Y')
-         OR (p_channel_tv = 'Y'))
-      AND (s_gmt_offset = -5)
-      AND (d_year = 1998)
-      AND (d_moy = 11)
-)  promotional_sales
-, (
-   SELECT sum(ss_ext_sales_price) total
-   FROM
-     store_sales
-   , store
-   , date_dim
-   , customer
-   , customer_address
-   , item
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (ss_customer_sk = c_customer_sk)
-      AND (ca_address_sk = c_current_addr_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (ca_gmt_offset = -5)
-      AND (i_category = 'Jewelry')
-      AND (s_gmt_offset = -5)
-      AND (d_year = 1998)
-      AND (d_moy = 11)
-)  all_sales
-ORDER BY promotions ASC, total ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q62.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q62.sql
deleted file mode 100644
index 1e97cadaad..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q62.sql
+++ /dev/null
@@ -1,26 +0,0 @@
-SELECT
-  substr(w_warehouse_name, 1, 20)
-, sm_type
-, web_name
-, sum((CASE WHEN ((ws_ship_date_sk - ws_sold_date_sk) <= 30) THEN 1 ELSE 0 END)) '30 days'
-, sum((CASE WHEN ((ws_ship_date_sk - ws_sold_date_sk) > 30)
-   AND ((ws_ship_date_sk - ws_sold_date_sk) <= 60) THEN 1 ELSE 0 END)) '31-60 days'
-, sum((CASE WHEN ((ws_ship_date_sk - ws_sold_date_sk) > 60)
-   AND ((ws_ship_date_sk - ws_sold_date_sk) <= 90) THEN 1 ELSE 0 END)) '61-90 days'
-, sum((CASE WHEN ((ws_ship_date_sk - ws_sold_date_sk) > 90)
-   AND ((ws_ship_date_sk - ws_sold_date_sk) <= 120) THEN 1 ELSE 0 END)) '91-120 days'
-, sum((CASE WHEN ((ws_ship_date_sk - ws_sold_date_sk) > 120) THEN 1 ELSE 0 END)) '>120 days'
-FROM
-  web_sales
-, warehouse
-, ship_mode
-, web_site
-, date_dim
-WHERE (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   AND (ws_ship_date_sk = d_date_sk)
-   AND (ws_warehouse_sk = w_warehouse_sk)
-   AND (ws_ship_mode_sk = sm_ship_mode_sk)
-   AND (ws_web_site_sk = web_site_sk)
-GROUP BY substr(w_warehouse_name, 1, 20), sm_type, web_name
-ORDER BY substr(w_warehouse_name, 1, 20) ASC, sm_type ASC, web_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q63.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q63.sql
deleted file mode 100644
index d193de66d2..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q63.sql
+++ /dev/null
@@ -1,27 +0,0 @@
-SELECT *
-FROM
-  (
-   SELECT
-     i_manager_id
-   , sum(ss_sales_price) sum_sales
-   , avg(sum(ss_sales_price)) OVER (PARTITION BY i_manager_id) avg_monthly_sales
-   FROM
-     item
-   , store_sales
-   , date_dim
-   , store
-   WHERE (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (d_month_seq IN (1200   , (1200 + 1)   , (1200 + 2)   , (1200 + 3)   , (1200 + 4)   , (1200 + 5)   , (1200 + 6)   , (1200 + 7)   , (1200 + 8)   , (1200 + 9)   , (1200 + 10)   , (1200 + 11)))
-      AND (((i_category IN ('Books'         , 'Children'         , 'Electronics'))
-            AND (i_class IN ('personal'         , 'portable'         , 'refernece'         , 'self-help'))
-            AND (i_brand IN ('scholaramalgamalg #14'         , 'scholaramalgamalg #7'         , 'exportiunivamalg #9'         , 'scholaramalgamalg #9')))
-         OR ((i_category IN ('Women'         , 'Music'         , 'Men'))
-            AND (i_class IN ('accessories'         , 'classical'         , 'fragrances'         , 'pants'))
-            AND (i_brand IN ('amalgimporto #1'         , 'edu packscholar #1'         , 'exportiimporto #1'         , 'importoamalg #1'))))
-   GROUP BY i_manager_id, d_moy
-)  tmp1
-WHERE ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1)
-ORDER BY i_manager_id ASC, avg_monthly_sales ASC, sum_sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q64.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q64.sql
deleted file mode 100644
index 2f5e1dc7e7..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q64.sql
+++ /dev/null
@@ -1,110 +0,0 @@
-WITH
-  cs_ui AS (
-   SELECT
-     cs_item_sk
-   , sum(cs_ext_list_price) sale
-   , sum(((cr_refunded_cash + cr_reversed_charge) + cr_store_credit)) refund
-   FROM
-     catalog_sales
-   , catalog_returns
-   WHERE (cs_item_sk = cr_item_sk)
-      AND (cs_order_number = cr_order_number)
-   GROUP BY cs_item_sk
-   HAVING (sum(cs_ext_list_price) > (2 * sum(((cr_refunded_cash + cr_reversed_charge) + cr_store_credit))))
-)
-, cross_sales AS (
-   SELECT
-     i_product_name product_name
-   , i_item_sk item_sk
-   , s_store_name store_name
-   , s_zip store_zip
-   , ad1.ca_street_number b_street_number
-   , ad1.ca_street_name b_street_name
-   , ad1.ca_city b_city
-   , ad1.ca_zip b_zip
-   , ad2.ca_street_number c_street_number
-   , ad2.ca_street_name c_street_name
-   , ad2.ca_city c_city
-   , ad2.ca_zip c_zip
-   , d1.d_year syear
-   , d2.d_year fsyear
-   , d3.d_year s2year
-   , count(*) cnt
-   , sum(ss_wholesale_cost) s1
-   , sum(ss_list_price) s2
-   , sum(ss_coupon_amt) s3
-   FROM
-     store_sales
-   , store_returns
-   , cs_ui
-   , date_dim d1
-   , date_dim d2
-   , date_dim d3
-   , store
-   , customer
-   , customer_demographics cd1
-   , customer_demographics cd2
-   , promotion
-   , household_demographics hd1
-   , household_demographics hd2
-   , customer_address ad1
-   , customer_address ad2
-   , income_band ib1
-   , income_band ib2
-   , item
-   WHERE (ss_store_sk = s_store_sk)
-      AND (ss_sold_date_sk = d1.d_date_sk)
-      AND (ss_customer_sk = c_customer_sk)
-      AND (ss_cdemo_sk = cd1.cd_demo_sk)
-      AND (ss_hdemo_sk = hd1.hd_demo_sk)
-      AND (ss_addr_sk = ad1.ca_address_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (ss_item_sk = sr_item_sk)
-      AND (ss_ticket_number = sr_ticket_number)
-      AND (ss_item_sk = cs_ui.cs_item_sk)
-      AND (c_current_cdemo_sk = cd2.cd_demo_sk)
-      AND (c_current_hdemo_sk = hd2.hd_demo_sk)
-      AND (c_current_addr_sk = ad2.ca_address_sk)
-      AND (c_first_sales_date_sk = d2.d_date_sk)
-      AND (c_first_shipto_date_sk = d3.d_date_sk)
-      AND (ss_promo_sk = p_promo_sk)
-      AND (hd1.hd_income_band_sk = ib1.ib_income_band_sk)
-      AND (hd2.hd_income_band_sk = ib2.ib_income_band_sk)
-      AND (cd1.cd_marital_status <> cd2.cd_marital_status)
-      AND (i_color IN ('purple'   , 'burlywood'   , 'indian'   , 'spring'   , 'floral'   , 'medium'))
-      AND (i_current_price BETWEEN 64 AND (64 + 10))
-      AND (i_current_price BETWEEN (64 + 1) AND (64 + 15))
-   GROUP BY i_product_name, i_item_sk, s_store_name, s_zip, ad1.ca_street_number, ad1.ca_street_name, ad1.ca_city, ad1.ca_zip, ad2.ca_street_number, ad2.ca_street_name, ad2.ca_city, ad2.ca_zip, d1.d_year, d2.d_year, d3.d_year
-)
-SELECT
-  cs1.product_name
-, cs1.store_name
-, cs1.store_zip
-, cs1.b_street_number
-, cs1.b_street_name
-, cs1.b_city
-, cs1.b_zip
-, cs1.c_street_number
-, cs1.c_street_name
-, cs1.c_city
-, cs1.c_zip
-, cs1.syear
-, cs1.cnt
-, cs1.s1 s11
-, cs1.s2 s21
-, cs1.s3 s31
-, cs2.s1 s12
-, cs2.s2 s22
-, cs2.s3 s32
-, cs2.syear
-, cs2.cnt
-FROM
-  cross_sales cs1
-, cross_sales cs2
-WHERE (cs1.item_sk = cs2.item_sk)
-   AND (cs1.syear = 1999)
-   AND (cs2.syear = (1999 + 1))
-   AND (cs2.cnt <= cs1.cnt)
-   AND (cs1.store_name = cs2.store_name)
-   AND (cs1.store_zip = cs2.store_zip)
-ORDER BY cs1.product_name ASC, cs1.store_name ASC, cs2.cnt ASC, 14, 15, 16, 17, 18
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q65.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q65.sql
deleted file mode 100644
index b2acdb146f..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q65.sql
+++ /dev/null
@@ -1,47 +0,0 @@
-SELECT
-  s_store_name
-, i_item_desc
-, sc.revenue
-, i_current_price
-, i_wholesale_cost
-, i_brand
-FROM
-  store
-, item
-, (
-   SELECT
-     ss_store_sk
-   , avg(revenue) ave
-   FROM
-     (
-      SELECT
-        ss_store_sk
-      , ss_item_sk
-      , sum(ss_sales_price) revenue
-      FROM
-        store_sales
-      , date_dim
-      WHERE (ss_sold_date_sk = d_date_sk)
-         AND (d_month_seq BETWEEN 1176 AND (1176 + 11))
-      GROUP BY ss_store_sk, ss_item_sk
-   )  sa
-   GROUP BY ss_store_sk
-)  sb
-, (
-   SELECT
-     ss_store_sk
-   , ss_item_sk
-   , sum(ss_sales_price) revenue
-   FROM
-     store_sales
-   , date_dim
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (d_month_seq BETWEEN 1176 AND (1176 + 11))
-   GROUP BY ss_store_sk, ss_item_sk
-)  sc
-WHERE (sb.ss_store_sk = sc.ss_store_sk)
-   AND (sc.revenue <= (0.1 * sb.ave))
-   AND (s_store_sk = sc.ss_store_sk)
-   AND (i_item_sk = sc.ss_item_sk)
-ORDER BY s_store_name ASC, i_item_desc ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q66.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q66.sql
deleted file mode 100644
index 0f6dd67a00..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q66.sql
+++ /dev/null
@@ -1,146 +0,0 @@
-SELECT
-  w_warehouse_name
-, w_warehouse_sq_ft
-, w_city
-, w_county
-, w_state
-, w_country
-, ship_carriers
-, year
-, sum(jan_sales) jan_sales
-, sum(feb_sales) feb_sales
-, sum(mar_sales) mar_sales
-, sum(apr_sales) apr_sales
-, sum(may_sales) may_sales
-, sum(jun_sales) jun_sales
-, sum(jul_sales) jul_sales
-, sum(aug_sales) aug_sales
-, sum(sep_sales) sep_sales
-, sum(oct_sales) oct_sales
-, sum(nov_sales) nov_sales
-, sum(dec_sales) dec_sales
-, sum((jan_sales / w_warehouse_sq_ft)) jan_sales_per_sq_foot
-, sum((feb_sales / w_warehouse_sq_ft)) feb_sales_per_sq_foot
-, sum((mar_sales / w_warehouse_sq_ft)) mar_sales_per_sq_foot
-, sum((apr_sales / w_warehouse_sq_ft)) apr_sales_per_sq_foot
-, sum((may_sales / w_warehouse_sq_ft)) may_sales_per_sq_foot
-, sum((jun_sales / w_warehouse_sq_ft)) jun_sales_per_sq_foot
-, sum((jul_sales / w_warehouse_sq_ft)) jul_sales_per_sq_foot
-, sum((aug_sales / w_warehouse_sq_ft)) aug_sales_per_sq_foot
-, sum((sep_sales / w_warehouse_sq_ft)) sep_sales_per_sq_foot
-, sum((oct_sales / w_warehouse_sq_ft)) oct_sales_per_sq_foot
-, sum((nov_sales / w_warehouse_sq_ft)) nov_sales_per_sq_foot
-, sum((dec_sales / w_warehouse_sq_ft)) dec_sales_per_sq_foot
-, sum(jan_net) jan_net
-, sum(feb_net) feb_net
-, sum(mar_net) mar_net
-, sum(apr_net) apr_net
-, sum(may_net) may_net
-, sum(jun_net) jun_net
-, sum(jul_net) jul_net
-, sum(aug_net) aug_net
-, sum(sep_net) sep_net
-, sum(oct_net) oct_net
-, sum(nov_net) nov_net
-, sum(dec_net) dec_net
-FROM
-(
-      SELECT
-        w_warehouse_name
-      , w_warehouse_sq_ft
-      , w_city
-      , w_county
-      , w_state
-      , w_country
-      , concat(concat('DHL', ','), 'BARIAN') ship_carriers
-      , d_year YEAR
-      , sum((CASE WHEN (d_moy = 1) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) jan_sales
-      , sum((CASE WHEN (d_moy = 2) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) feb_sales
-      , sum((CASE WHEN (d_moy = 3) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) mar_sales
-      , sum((CASE WHEN (d_moy = 4) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) apr_sales
-      , sum((CASE WHEN (d_moy = 5) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) may_sales
-      , sum((CASE WHEN (d_moy = 6) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) jun_sales
-      , sum((CASE WHEN (d_moy = 7) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) jul_sales
-      , sum((CASE WHEN (d_moy = 8) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) aug_sales
-      , sum((CASE WHEN (d_moy = 9) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) sep_sales
-      , sum((CASE WHEN (d_moy = 10) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) oct_sales
-      , sum((CASE WHEN (d_moy = 11) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) nov_sales
-      , sum((CASE WHEN (d_moy = 12) THEN (ws_ext_sales_price * ws_quantity) ELSE 0 END)) dec_sales
-      , sum((CASE WHEN (d_moy = 1) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) jan_net
-      , sum((CASE WHEN (d_moy = 2) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) feb_net
-      , sum((CASE WHEN (d_moy = 3) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) mar_net
-      , sum((CASE WHEN (d_moy = 4) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) apr_net
-      , sum((CASE WHEN (d_moy = 5) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) may_net
-      , sum((CASE WHEN (d_moy = 6) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) jun_net
-      , sum((CASE WHEN (d_moy = 7) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) jul_net
-      , sum((CASE WHEN (d_moy = 8) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) aug_net
-      , sum((CASE WHEN (d_moy = 9) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) sep_net
-      , sum((CASE WHEN (d_moy = 10) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) oct_net
-      , sum((CASE WHEN (d_moy = 11) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) nov_net
-      , sum((CASE WHEN (d_moy = 12) THEN (ws_net_paid * ws_quantity) ELSE 0 END)) dec_net
-      FROM
-        web_sales
-      , warehouse
-      , date_dim
-      , time_dim
-      , ship_mode
-      WHERE (ws_warehouse_sk = w_warehouse_sk)
-         AND (ws_sold_date_sk = d_date_sk)
-         AND (ws_sold_time_sk = t_time_sk)
-         AND (ws_ship_mode_sk = sm_ship_mode_sk)
-         AND (d_year = 2001)
-         AND (t_time BETWEEN 30838 AND (30838 + 28800))
-         AND (sm_carrier IN ('DHL'      , 'BARIAN'))
-      GROUP BY w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country, d_year
-   UNION ALL
-      SELECT
-        w_warehouse_name
-      , w_warehouse_sq_ft
-      , w_city
-      , w_county
-      , w_state
-      , w_country
-      , concat(concat('DHL', ','), 'BARIAN') ship_carriers
-      , d_year YEAR
-      , sum((CASE WHEN (d_moy = 1) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) jan_sales
-      , sum((CASE WHEN (d_moy = 2) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) feb_sales
-      , sum((CASE WHEN (d_moy = 3) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) mar_sales
-      , sum((CASE WHEN (d_moy = 4) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) apr_sales
-      , sum((CASE WHEN (d_moy = 5) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) may_sales
-      , sum((CASE WHEN (d_moy = 6) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) jun_sales
-      , sum((CASE WHEN (d_moy = 7) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) jul_sales
-      , sum((CASE WHEN (d_moy = 8) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) aug_sales
-      , sum((CASE WHEN (d_moy = 9) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) sep_sales
-      , sum((CASE WHEN (d_moy = 10) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) oct_sales
-      , sum((CASE WHEN (d_moy = 11) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) nov_sales
-      , sum((CASE WHEN (d_moy = 12) THEN (cs_sales_price * cs_quantity) ELSE 0 END)) dec_sales
-      , sum((CASE WHEN (d_moy = 1) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) jan_net
-      , sum((CASE WHEN (d_moy = 2) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) feb_net
-      , sum((CASE WHEN (d_moy = 3) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) mar_net
-      , sum((CASE WHEN (d_moy = 4) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) apr_net
-      , sum((CASE WHEN (d_moy = 5) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) may_net
-      , sum((CASE WHEN (d_moy = 6) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) jun_net
-      , sum((CASE WHEN (d_moy = 7) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) jul_net
-      , sum((CASE WHEN (d_moy = 8) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) aug_net
-      , sum((CASE WHEN (d_moy = 9) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) sep_net
-      , sum((CASE WHEN (d_moy = 10) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) oct_net
-      , sum((CASE WHEN (d_moy = 11) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) nov_net
-      , sum((CASE WHEN (d_moy = 12) THEN (cs_net_paid_inc_tax * cs_quantity) ELSE 0 END)) dec_net
-      FROM
-        catalog_sales
-      , warehouse
-      , date_dim
-      , time_dim
-      , ship_mode
-      WHERE (cs_warehouse_sk = w_warehouse_sk)
-         AND (cs_sold_date_sk = d_date_sk)
-         AND (cs_sold_time_sk = t_time_sk)
-         AND (cs_ship_mode_sk = sm_ship_mode_sk)
-         AND (d_year = 2001)
-         AND (t_time BETWEEN 30838 AND (30838 + 28800))
-         AND (sm_carrier IN ('DHL'      , 'BARIAN'))
-      GROUP BY w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country, d_year
-   )  x
-GROUP BY w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country, ship_carriers, year
-ORDER BY w_warehouse_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q67_ignore_temporarily.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q67_ignore_temporarily.sql
deleted file mode 100644
index dd84f38411..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q67_ignore_temporarily.sql
+++ /dev/null
@@ -1,41 +0,0 @@
-SELECT *
-FROM
-  (
-   SELECT
-     i_category
-   , i_class
-   , i_brand
-   , i_product_name
-   , d_year
-   , d_qoy
-   , d_moy
-   , s_store_id
-   , sumsales
-   , rank() OVER (PARTITION BY i_category ORDER BY sumsales DESC) rk
-   FROM
-     (
-      SELECT
-        i_category
-      , i_class
-      , i_brand
-      , i_product_name
-      , d_year
-      , d_qoy
-      , d_moy
-      , s_store_id
-      , sum(COALESCE((ss_sales_price * ss_quantity), 0)) sumsales
-      FROM
-        store_sales
-      , date_dim
-      , store
-      , item
-      WHERE (ss_sold_date_sk = d_date_sk)
-         AND (ss_item_sk = i_item_sk)
-         AND (ss_store_sk = s_store_sk)
-         AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-      GROUP BY ROLLUP (i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy, s_store_id)
-   )  dw1
-)  dw2
-WHERE (rk <= 100)
-ORDER BY i_category ASC, i_class ASC, i_brand ASC, i_product_name ASC, d_year ASC, d_qoy ASC, d_moy ASC, s_store_id ASC, sumsales ASC, rk ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q68.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q68.sql
deleted file mode 100644
index 8e43784f67..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q68.sql
+++ /dev/null
@@ -1,42 +0,0 @@
-SELECT
-  c_last_name
-, c_first_name
-, ca_city
-, bought_city
-, ss_ticket_number
-, extended_price
-, extended_tax
-, list_price
-FROM
-  (
-   SELECT
-     ss_ticket_number
-   , ss_customer_sk
-   , ca_city bought_city
-   , sum(ss_ext_sales_price) extended_price
-   , sum(ss_ext_list_price) list_price
-   , sum(ss_ext_tax) extended_tax
-   FROM
-     store_sales
-   , date_dim
-   , store
-   , household_demographics
-   , customer_address
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_store_sk = store.s_store_sk)
-      AND (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (store_sales.ss_addr_sk = customer_address.ca_address_sk)
-      AND (date_dim.d_dom BETWEEN 1 AND 2)
-      AND ((household_demographics.hd_dep_count = 4)
-         OR (household_demographics.hd_vehicle_count = 3))
-      AND (date_dim.d_year IN (1999   , (1999 + 1)   , (1999 + 2)))
-      AND (store.s_city IN ('Midway'   , 'Fairview'))
-   GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, ca_city
-)  dn
-, customer
-, customer_address current_addr
-WHERE (ss_customer_sk = c_customer_sk)
-   AND (customer.c_current_addr_sk = current_addr.ca_address_sk)
-   AND (current_addr.ca_city <> bought_city)
-ORDER BY c_last_name ASC, ss_ticket_number ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q69.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q69.sql
deleted file mode 100644
index 1dd2779c65..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q69.sql
+++ /dev/null
@@ -1,49 +0,0 @@
-SELECT
-  cd_gender
-, cd_marital_status
-, cd_education_status
-, count(*) cnt1
-, cd_purchase_estimate
-, count(*) cnt2
-, cd_credit_rating
-, count(*) cnt3
-FROM
-  customer c
-, customer_address ca
-, customer_demographics
-WHERE (c.c_current_addr_sk = ca.ca_address_sk)
-   AND (ca_state IN ('KY', 'GA', 'NM'))
-   AND (cd_demo_sk = c.c_current_cdemo_sk)
-   AND (EXISTS (
-   SELECT *
-   FROM
-     store_sales
-   , date_dim
-   WHERE (c.c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy BETWEEN 4 AND (4 + 2))
-))
-   AND (NOT (EXISTS (
-   SELECT *
-   FROM
-     web_sales
-   , date_dim
-   WHERE (c.c_customer_sk = ws_bill_customer_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy BETWEEN 4 AND (4 + 2))
-)))
-   AND (NOT (EXISTS (
-   SELECT *
-   FROM
-     catalog_sales
-   , date_dim
-   WHERE (c.c_customer_sk = cs_ship_customer_sk)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (d_year = 2001)
-      AND (d_moy BETWEEN 4 AND (4 + 2))
-)))
-GROUP BY cd_gender, cd_marital_status, cd_education_status, cd_purchase_estimate, cd_credit_rating
-ORDER BY cd_gender ASC, cd_marital_status ASC, cd_education_status ASC, cd_purchase_estimate ASC, cd_credit_rating ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q70.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q70.sql
deleted file mode 100644
index 45a90ed4f2..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q70.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-SELECT
-  sum(ss_net_profit) total_sum
-, s_state
-, s_county
-, (GROUPING (s_state) + GROUPING (s_county)) lochierarchy
-, rank() OVER (PARTITION BY (GROUPING (s_state) + GROUPING (s_county)), (CASE WHEN (GROUPING (s_county) = 0) THEN s_state END) ORDER BY sum(ss_net_profit) DESC) rank_within_parent
-FROM
-  store_sales
-, date_dim d1
-, store
-WHERE (d1.d_month_seq BETWEEN 1200 AND (1200 + 11))
-   AND (d1.d_date_sk = ss_sold_date_sk)
-   AND (s_store_sk = ss_store_sk)
-   AND (s_state IN (
-   SELECT s_state
-   FROM
-     (
-      SELECT
-        s_state s_state
-      , rank() OVER (PARTITION BY s_state ORDER BY sum(ss_net_profit) DESC) ranking
-      FROM
-        store_sales
-      , store
-      , date_dim
-      WHERE (d_month_seq BETWEEN 1200 AND (1200 + 11))
-         AND (d_date_sk = ss_sold_date_sk)
-         AND (s_store_sk = ss_store_sk)
-      GROUP BY s_state
-   )  tmp1
-   WHERE (ranking <= 5)
-))
-GROUP BY ROLLUP (s_state, s_county)
-ORDER BY lochierarchy DESC, (CASE WHEN (lochierarchy = 0) THEN s_state END) ASC, rank_within_parent ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q71.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q71.sql
deleted file mode 100644
index 6d626fbfb3..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q71.sql
+++ /dev/null
@@ -1,51 +0,0 @@
-SELECT
-  i_brand_id brand_id
-, i_brand brand
-, t_hour
-, t_minute
-, sum(ext_price) ext_price
-FROM
-  item
-, (
-   SELECT
-     ws_ext_sales_price ext_price
-   , ws_sold_date_sk sold_date_sk
-   , ws_item_sk sold_item_sk
-   , ws_sold_time_sk time_sk
-   FROM
-     web_sales
-   , date_dim
-   WHERE (d_date_sk = ws_sold_date_sk)
-      AND (d_moy = 11)
-      AND (d_year = 1999)
-UNION ALL    SELECT
-     cs_ext_sales_price ext_price
-   , cs_sold_date_sk sold_date_sk
-   , cs_item_sk sold_item_sk
-   , cs_sold_time_sk time_sk
-   FROM
-     catalog_sales
-   , date_dim
-   WHERE (d_date_sk = cs_sold_date_sk)
-      AND (d_moy = 11)
-      AND (d_year = 1999)
-UNION ALL    SELECT
-     ss_ext_sales_price ext_price
-   , ss_sold_date_sk sold_date_sk
-   , ss_item_sk sold_item_sk
-   , ss_sold_time_sk time_sk
-   FROM
-     store_sales
-   , date_dim
-   WHERE (d_date_sk = ss_sold_date_sk)
-      AND (d_moy = 11)
-      AND (d_year = 1999)
-)  tmp
-, time_dim
-WHERE (sold_item_sk = i_item_sk)
-   AND (i_manager_id = 1)
-   AND (time_sk = t_time_sk)
-   AND ((t_meal_time = 'breakfast')
-      OR (t_meal_time = 'dinner'))
-GROUP BY i_brand, i_brand_id, t_hour, t_minute
-ORDER BY ext_price DESC, i_brand_id ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q72.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q72.sql
deleted file mode 100644
index 8965a16a27..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q72.sql
+++ /dev/null
@@ -1,32 +0,0 @@
--- For ASAN build, it will take too long time to run q72, disable for now
-/*
-SELECT
-  i_item_desc
-, w_warehouse_name
-, d1.d_week_seq
-, sum((CASE WHEN (p_promo_sk IS NULL) THEN 1 ELSE 0 END)) no_promo
-, sum((CASE WHEN (p_promo_sk IS NOT NULL) THEN 1 ELSE 0 END)) promo
-, count(*) total_cnt
-FROM
-  catalog_sales
-INNER JOIN inventory ON (cs_item_sk = inv_item_sk)
-INNER JOIN warehouse ON (w_warehouse_sk = inv_warehouse_sk)
-INNER JOIN item ON (i_item_sk = cs_item_sk)
-INNER JOIN customer_demographics ON (cs_bill_cdemo_sk = cd_demo_sk)
-INNER JOIN household_demographics ON (cs_bill_hdemo_sk = hd_demo_sk)
-INNER JOIN date_dim d1 ON (cs_sold_date_sk = d1.d_date_sk)
-INNER JOIN date_dim d2 ON (inv_date_sk = d2.d_date_sk)
-INNER JOIN date_dim d3 ON (cs_ship_date_sk = d3.d_date_sk)
-LEFT JOIN promotion ON (cs_promo_sk = p_promo_sk)
-LEFT JOIN catalog_returns ON (cr_item_sk = cs_item_sk)
-   AND (cr_order_number = cs_order_number)
-WHERE (d1.d_week_seq = d2.d_week_seq)
-   AND (inv_quantity_on_hand < cs_quantity)
-   AND (d3.d_date > (d1.d_date + INTERVAL  '5' DAY))
-   AND (hd_buy_potential = '>10000')
-   AND (d1.d_year = 1999)
-   AND (cd_marital_status = 'D')
-GROUP BY i_item_desc, w_warehouse_name, d1.d_week_seq
-ORDER BY total_cnt DESC, i_item_desc ASC, w_warehouse_name ASC, d1.d_week_seq ASC
-LIMIT 100
-*/
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q73.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q73.sql
deleted file mode 100644
index f648e3381d..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q73.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-SELECT
-  c_last_name
-, c_first_name
-, c_salutation
-, c_preferred_cust_flag
-, ss_ticket_number
-, cnt
-FROM
-  (
-   SELECT
-     ss_ticket_number
-   , ss_customer_sk
-   , count(*) cnt
-   FROM
-     store_sales
-   , date_dim
-   , store
-   , household_demographics
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_store_sk = store.s_store_sk)
-      AND (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (date_dim.d_dom BETWEEN 1 AND 2)
-      AND ((household_demographics.hd_buy_potential = '>10000')
-         OR (household_demographics.hd_buy_potential = 'Unknown'))
-      AND (household_demographics.hd_vehicle_count > 0)
-      AND ((CASE WHEN (household_demographics.hd_vehicle_count > 0) THEN (household_demographics.hd_dep_count / household_demographics.hd_vehicle_count) ELSE null END) > 1)
-      AND (date_dim.d_year IN (1999   , (1999 + 1)   , (1999 + 2)))
-      AND (store.s_county IN ('Williamson County'   , 'Franklin Parish'   , 'Bronx County'   , 'Orange County'))
-   GROUP BY ss_ticket_number, ss_customer_sk
-)  dj
-, customer
-WHERE (ss_customer_sk = c_customer_sk)
-   AND (cnt BETWEEN 1 AND 5)
-ORDER BY cnt DESC, c_last_name ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q74.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q74.sql
deleted file mode 100644
index aa677a70b9..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q74.sql
+++ /dev/null
@@ -1,58 +0,0 @@
-WITH
-  year_total AS (
-   SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , d_year YEAR
-   , sum(ss_net_paid) year_total
-   , 's' sale_type
-   FROM
-     customer
-   , store_sales
-   , date_dim
-   WHERE (c_customer_sk = ss_customer_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (d_year IN (2001   , (2001 + 1)))
-   GROUP BY c_customer_id, c_first_name, c_last_name, d_year
-UNION ALL    SELECT
-     c_customer_id customer_id
-   , c_first_name customer_first_name
-   , c_last_name customer_last_name
-   , d_year YEAR
-   , sum(ws_net_paid) year_total
-   , 'w' sale_type
-   FROM
-     customer
-   , web_sales
-   , date_dim
-   WHERE (c_customer_sk = ws_bill_customer_sk)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (d_year IN (2001   , (2001 + 1)))
-   GROUP BY c_customer_id, c_first_name, c_last_name, d_year
-)
-SELECT
-  t_s_secyear.customer_id
-, t_s_secyear.customer_first_name
-, t_s_secyear.customer_last_name
-FROM
-  year_total t_s_firstyear
-, year_total t_s_secyear
-, year_total t_w_firstyear
-, year_total t_w_secyear
-WHERE (t_s_secyear.customer_id = t_s_firstyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_secyear.customer_id)
-   AND (t_s_firstyear.customer_id = t_w_firstyear.customer_id)
-   AND (t_s_firstyear.sale_type = 's')
-   AND (t_w_firstyear.sale_type = 'w')
-   AND (t_s_secyear.sale_type = 's')
-   AND (t_w_secyear.sale_type = 'w')
-   AND (t_s_firstyear.year = 2001)
-   AND (t_s_secyear.year = (2001 + 1))
-   AND (t_w_firstyear.year = 2001)
-   AND (t_w_secyear.year = (2001 + 1))
-   AND (t_s_firstyear.year_total > 0)
-   AND (t_w_firstyear.year_total > 0)
-   AND ((CASE WHEN (t_w_firstyear.year_total > 0) THEN (t_w_secyear.year_total / t_w_firstyear.year_total) ELSE null END) > (CASE WHEN (t_s_firstyear.year_total > 0) THEN (t_s_secyear.year_total / t_s_firstyear.year_total) ELSE null END))
-ORDER BY 1 ASC, 1 ASC, 1 ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q75.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q75.sql
deleted file mode 100644
index 8ba31226c2..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q75.sql
+++ /dev/null
@@ -1,83 +0,0 @@
-WITH
-  all_sales AS (
-   SELECT
-     d_year
-   , i_brand_id
-   , i_class_id
-   , i_category_id
-   , i_manufact_id
-   , sum(sales_cnt) sales_cnt
-   , sum(sales_amt) sales_amt
-   FROM
-     (
-      SELECT
-        d_year
-      , i_brand_id
-      , i_class_id
-      , i_category_id
-      , i_manufact_id
-      , (cs_quantity - COALESCE(cr_return_quantity, 0)) sales_cnt
-      , (cs_ext_sales_price - COALESCE(cr_return_amount, 0.0)) sales_amt
-      FROM
-        catalog_sales
-      INNER JOIN item ON (i_item_sk = cs_item_sk)
-      INNER JOIN date_dim ON (d_date_sk = cs_sold_date_sk)
-      LEFT JOIN catalog_returns ON (cs_order_number = cr_order_number)
-         AND (cs_item_sk = cr_item_sk)
-      WHERE (i_category = 'Books')
-UNION       SELECT
-        d_year
-      , i_brand_id
-      , i_class_id
-      , i_category_id
-      , i_manufact_id
-      , (ss_quantity - COALESCE(sr_return_quantity, 0)) sales_cnt
-      , (ss_ext_sales_price - COALESCE(sr_return_amt, 0.0)) sales_amt
-      FROM
-        store_sales
-      INNER JOIN item ON (i_item_sk = ss_item_sk)
-      INNER JOIN date_dim ON (d_date_sk = ss_sold_date_sk)
-      LEFT JOIN store_returns ON (ss_ticket_number = sr_ticket_number)
-         AND (ss_item_sk = sr_item_sk)
-      WHERE (i_category = 'Books')
-UNION       SELECT
-        d_year
-      , i_brand_id
-      , i_class_id
-      , i_category_id
-      , i_manufact_id
-      , (ws_quantity - COALESCE(wr_return_quantity, 0)) sales_cnt
-      , (ws_ext_sales_price - COALESCE(wr_return_amt, 0.0)) sales_amt
-      FROM
-        web_sales
-      INNER JOIN item ON (i_item_sk = ws_item_sk)
-      INNER JOIN date_dim ON (d_date_sk = ws_sold_date_sk)
-      LEFT JOIN web_returns ON (ws_order_number = wr_order_number)
-         AND (ws_item_sk = wr_item_sk)
-      WHERE (i_category = 'Books')
-   )  sales_detail
-   GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id
-)
-SELECT
-  prev_yr.d_year prev_year
-, curr_yr.d_year year
-, curr_yr.i_brand_id
-, curr_yr.i_class_id
-, curr_yr.i_category_id
-, curr_yr.i_manufact_id
-, prev_yr.sales_cnt prev_yr_cnt
-, curr_yr.sales_cnt curr_yr_cnt
-, (curr_yr.sales_cnt - prev_yr.sales_cnt) sales_cnt_diff
-, (curr_yr.sales_amt - prev_yr.sales_amt) sales_amt_diff
-FROM
-  all_sales curr_yr
-, all_sales prev_yr
-WHERE (curr_yr.i_brand_id = prev_yr.i_brand_id)
-   AND (curr_yr.i_class_id = prev_yr.i_class_id)
-   AND (curr_yr.i_category_id = prev_yr.i_category_id)
-   AND (curr_yr.i_manufact_id = prev_yr.i_manufact_id)
-   AND (curr_yr.d_year = 2002)
-   AND (prev_yr.d_year = (2002 - 1))
-   AND ((CAST(curr_yr.sales_cnt AS DECIMALV3(17,2)) / CAST(prev_yr.sales_cnt AS DECIMALV3(17,2))) < 0.9)
-ORDER BY sales_cnt_diff ASC, sales_amt_diff ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q76.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q76.sql
deleted file mode 100644
index 6fbb2eee55..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q76.sql
+++ /dev/null
@@ -1,56 +0,0 @@
-SELECT
-  channel
-, col_name
-, d_year
-, d_qoy
-, i_category
-, count(*) sales_cnt
-, sum(ext_sales_price) sales_amt
-FROM
-  (
-   SELECT
-     'store' channel
-   , 'ss_store_sk' col_name
-   , d_year
-   , d_qoy
-   , i_category
-   , ss_ext_sales_price ext_sales_price
-   FROM
-     store_sales
-   , item
-   , date_dim
-   WHERE (ss_store_sk IS NULL)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (ss_item_sk = i_item_sk)
-UNION ALL    SELECT
-     'web' channel
-   , 'ws_ship_customer_sk' col_name
-   , d_year
-   , d_qoy
-   , i_category
-   , ws_ext_sales_price ext_sales_price
-   FROM
-     web_sales
-   , item
-   , date_dim
-   WHERE (ws_ship_customer_sk IS NULL)
-      AND (ws_sold_date_sk = d_date_sk)
-      AND (ws_item_sk = i_item_sk)
-UNION ALL    SELECT
-     'catalog' channel
-   , 'cs_ship_addr_sk' col_name
-   , d_year
-   , d_qoy
-   , i_category
-   , cs_ext_sales_price ext_sales_price
-   FROM
-     catalog_sales
-   , item
-   , date_dim
-   WHERE (cs_ship_addr_sk IS NULL)
-      AND (cs_sold_date_sk = d_date_sk)
-      AND (cs_item_sk = i_item_sk)
-)  foo
-GROUP BY channel, col_name, d_year, d_qoy, i_category
-ORDER BY channel ASC, col_name ASC, d_year ASC, d_qoy ASC, i_category ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q77.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q77.sql
deleted file mode 100644
index 8e6cb50eb2..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q77.sql
+++ /dev/null
@@ -1,120 +0,0 @@
-WITH
-  ss AS (
-   SELECT
-     s_store_sk
-   , sum(ss_ext_sales_price) sales
-   , sum(ss_net_profit) profit
-   FROM
-     store_sales
-   , date_dim
-   , store
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (ss_store_sk = s_store_sk)
-   GROUP BY s_store_sk
-)
-, sr AS (
-   SELECT
-     s_store_sk
-   , sum(sr_return_amt) returns
-   , sum(sr_net_loss) profit_loss
-   FROM
-     store_returns
-   , date_dim
-   , store
-   WHERE (sr_returned_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (sr_store_sk = s_store_sk)
-   GROUP BY s_store_sk
-)
-, cs AS (
-   SELECT
-     cs_call_center_sk
-   , sum(cs_ext_sales_price) sales
-   , sum(cs_net_profit) profit
-   FROM
-     catalog_sales
-   , date_dim
-   WHERE (cs_sold_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-   GROUP BY cs_call_center_sk
-)
-, cr AS (
-   SELECT
-     cr_call_center_sk
-   , sum(cr_return_amount) returns
-   , sum(cr_net_loss) profit_loss
-   FROM
-     catalog_returns
-   , date_dim
-   WHERE (cr_returned_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-   GROUP BY cr_call_center_sk
-)
-, ws AS (
-   SELECT
-     wp_web_page_sk
-   , sum(ws_ext_sales_price) sales
-   , sum(ws_net_profit) profit
-   FROM
-     web_sales
-   , date_dim
-   , web_page
-   WHERE (ws_sold_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (ws_web_page_sk = wp_web_page_sk)
-   GROUP BY wp_web_page_sk
-)
-, wr AS (
-   SELECT
-     wp_web_page_sk
-   , sum(wr_return_amt) returns
-   , sum(wr_net_loss) profit_loss
-   FROM
-     web_returns
-   , date_dim
-   , web_page
-   WHERE (wr_returned_date_sk = d_date_sk)
-      AND (d_date BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (wr_web_page_sk = wp_web_page_sk)
-   GROUP BY wp_web_page_sk
-)
-SELECT
-  channel
-, id
-, sum(sales) sales
-, sum(returns) returns
-, sum(profit) profit
-FROM
-  (
-   SELECT
-     'store channel' channel
-   , ss.s_store_sk id
-   , sales
-   , COALESCE(returns, 0) returns
-   , (profit - COALESCE(profit_loss, 0)) profit
-   FROM
-     ss
-   LEFT JOIN sr ON (ss.s_store_sk = sr.s_store_sk)
-UNION ALL    SELECT
-     'catalog channel' channel
-   , cs_call_center_sk id
-   , sales
-   , returns
-   , (profit - profit_loss) profit
-   FROM
-     cs
-   , cr
-UNION ALL    SELECT
-     'web channel' channel
-   , ws.wp_web_page_sk id
-   , sales
-   , COALESCE(returns, 0) returns
-   , (profit - COALESCE(profit_loss, 0)) profit
-   FROM
-     ws
-   LEFT JOIN wr ON (ws.wp_web_page_sk = wr.wp_web_page_sk)
-)  x
-GROUP BY ROLLUP (channel, id)
-ORDER BY channel ASC, id ASC, sales ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q78.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q78.sql
deleted file mode 100644
index 122a521490..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q78.sql
+++ /dev/null
@@ -1,76 +0,0 @@
--- at current, run q78 will get wrong result, still under fixing
-/*
-WITH
-  ws AS (
-   SELECT
-     d_year ws_sold_year
-   , ws_item_sk
-   , ws_bill_customer_sk ws_customer_sk
-   , sum(ws_quantity) ws_qty
-   , sum(ws_wholesale_cost) ws_wc
-   , sum(ws_sales_price) ws_sp
-   FROM
-     web_sales
-   LEFT JOIN web_returns ON (wr_order_number = ws_order_number)
-      AND (ws_item_sk = wr_item_sk)
-   INNER JOIN date_dim ON (ws_sold_date_sk = d_date_sk)
-   WHERE (wr_order_number IS NULL)
-   GROUP BY d_year, ws_item_sk, ws_bill_customer_sk
-)
-, cs AS (
-   SELECT
-     d_year cs_sold_year
-   , cs_item_sk
-   , cs_bill_customer_sk cs_customer_sk
-   , sum(cs_quantity) cs_qty
-   , sum(cs_wholesale_cost) cs_wc
-   , sum(cs_sales_price) cs_sp
-   FROM
-     catalog_sales
-   LEFT JOIN catalog_returns ON (cr_order_number = cs_order_number)
-      AND (cs_item_sk = cr_item_sk)
-   INNER JOIN date_dim ON (cs_sold_date_sk = d_date_sk)
-   WHERE (cr_order_number IS NULL)
-   GROUP BY d_year, cs_item_sk, cs_bill_customer_sk
-)
-, ss AS (
-   SELECT
-     d_year ss_sold_year
-   , ss_item_sk
-   , ss_customer_sk
-   , sum(ss_quantity) ss_qty
-   , sum(ss_wholesale_cost) ss_wc
-   , sum(ss_sales_price) ss_sp
-   FROM
-     store_sales
-   LEFT JOIN store_returns ON (sr_ticket_number = ss_ticket_number)
-      AND (ss_item_sk = sr_item_sk)
-   INNER JOIN date_dim ON (ss_sold_date_sk = d_date_sk)
-   WHERE (sr_ticket_number IS NULL)
-   GROUP BY d_year, ss_item_sk, ss_customer_sk
-)
-SELECT
-  ss_sold_year
-, ss_item_sk
-, ss_customer_sk
-, round((ss_qty / COALESCE((ws_qty + cs_qty), 1)), 2) ratio
-, ss_qty store_qty
-, ss_wc store_wholesale_cost
-, ss_sp store_sales_price
-, (COALESCE(ws_qty, 0) + COALESCE(cs_qty, 0)) other_chan_qty
-, (COALESCE(ws_wc, 0) + COALESCE(cs_wc, 0)) other_chan_wholesale_cost
-, (COALESCE(ws_sp, 0) + COALESCE(cs_sp, 0)) other_chan_sales_price
-FROM
-  ss
-LEFT JOIN ws ON (ws_sold_year = ss_sold_year)
-   AND (ws_item_sk = ss_item_sk)
-   AND (ws_customer_sk = ss_customer_sk)
-LEFT JOIN cs ON (cs_sold_year = ss_sold_year)
-   AND (cs_item_sk = cs_item_sk)
-   AND (cs_customer_sk = ss_customer_sk)
-WHERE (COALESCE(ws_qty, 0) > 0)
-   AND (COALESCE(cs_qty, 0) > 0)
-   AND (ss_sold_year = 2000)
-ORDER BY ss_sold_year ASC, ss_item_sk ASC, ss_customer_sk ASC, ss_qty DESC, ss_wc DESC, ss_sp DESC, other_chan_qty ASC, other_chan_wholesale_cost ASC, other_chan_sales_price ASC, round((ss_qty / COALESCE((ws_qty + cs_qty), 1)), 2) ASC
-LIMIT 100
-*/
\ No newline at end of file
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q79.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q79.sql
deleted file mode 100644
index e624e296c4..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q79.sql
+++ /dev/null
@@ -1,34 +0,0 @@
-SELECT
-  c_last_name
-, c_first_name
-, substr(s_city, 1, 30)
-, ss_ticket_number
-, amt
-, profit
-FROM
-  (
-   SELECT
-     ss_ticket_number
-   , ss_customer_sk
-   , store.s_city
-   , sum(ss_coupon_amt) amt
-   , sum(ss_net_profit) profit
-   FROM
-     store_sales
-   , date_dim
-   , store
-   , household_demographics
-   WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-      AND (store_sales.ss_store_sk = store.s_store_sk)
-      AND (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND ((household_demographics.hd_dep_count = 6)
-         OR (household_demographics.hd_vehicle_count > 2))
-      AND (date_dim.d_dow = 1)
-      AND (date_dim.d_year IN (1999   , (1999 + 1)   , (1999 + 2)))
-      AND (store.s_number_employees BETWEEN 200 AND 295)
-   GROUP BY ss_ticket_number, ss_customer_sk, ss_addr_sk, store.s_city
-)  ms
-, customer
-WHERE (ss_customer_sk = c_customer_sk)
-ORDER BY c_last_name ASC, c_first_name ASC, substr(s_city, 1, 30) ASC, profit ASC, ss_ticket_number, amt
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q80.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q80.sql
deleted file mode 100644
index 458b6b89b1..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q80.sql
+++ /dev/null
@@ -1,106 +0,0 @@
-WITH
-  ssr AS (
-   SELECT
-     s_store_id store_id
-   , sum(ss_ext_sales_price) sales
-   , sum(COALESCE(sr_return_amt, 0)) returns
-   , sum((ss_net_profit - COALESCE(sr_net_loss, 0))) profit
-   FROM
-     store_sales
-   LEFT JOIN store_returns ON (ss_item_sk = sr_item_sk)
-      AND (ss_ticket_number = sr_ticket_number)
-   , date_dim
-   , store
-   , item
-   , promotion
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (CAST(d_date AS DATE) BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (ss_store_sk = s_store_sk)
-      AND (ss_item_sk = i_item_sk)
-      AND (i_current_price > 50)
-      AND (ss_promo_sk = p_promo_sk)
-      AND (p_channel_tv = 'N')
-   GROUP BY s_store_id
-)
-, csr AS (
-   SELECT
-     cp_catalog_page_id catalog_page_id
-   , sum(cs_ext_sales_price) sales
-   , sum(COALESCE(cr_return_amount, 0)) returns
-   , sum((cs_net_profit - COALESCE(cr_net_loss, 0))) profit
-   FROM
-     catalog_sales
-   LEFT JOIN catalog_returns ON (cs_item_sk = cr_item_sk)
-      AND (cs_order_number = cr_order_number)
-   , date_dim
-   , catalog_page
-   , item
-   , promotion
-   WHERE (cs_sold_date_sk = d_date_sk)
-      AND (CAST(d_date AS DATE) BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (cs_catalog_page_sk = cp_catalog_page_sk)
-      AND (cs_item_sk = i_item_sk)
-      AND (i_current_price > 50)
-      AND (cs_promo_sk = p_promo_sk)
-      AND (p_channel_tv = 'N')
-   GROUP BY cp_catalog_page_id
-)
-, wsr AS (
-   SELECT
-     web_site_id
-   , sum(ws_ext_sales_price) sales
-   , sum(COALESCE(wr_return_amt, 0)) returns
-   , sum((ws_net_profit - COALESCE(wr_net_loss, 0))) profit
-   FROM
-     web_sales
-   LEFT JOIN web_returns ON (ws_item_sk = wr_item_sk)
-      AND (ws_order_number = wr_order_number)
-   , date_dim
-   , web_site
-   , item
-   , promotion
-   WHERE (ws_sold_date_sk = d_date_sk)
-      AND (CAST(d_date AS DATE) BETWEEN CAST('2000-08-23' AS DATE) AND (CAST('2000-08-23' AS DATE) + INTERVAL  '30' DAY))
-      AND (ws_web_site_sk = web_site_sk)
-      AND (ws_item_sk = i_item_sk)
-      AND (i_current_price > 50)
-      AND (ws_promo_sk = p_promo_sk)
-      AND (p_channel_tv = 'N')
-   GROUP BY web_site_id
-)
-SELECT
-  channel
-, id
-, sum(sales) sales
-, sum(returns) returns
-, sum(profit) profit
-FROM
-  (
-   SELECT
-     'store channel' channel
-   , concat('store', store_id) id
-   , sales
-   , returns
-   , profit
-   FROM
-     ssr
-UNION ALL    SELECT
-     'catalog channel' channel
-   , concat('catalog_page', catalog_page_id) id
-   , sales
-   , returns
-   , profit
-   FROM
-     csr
-UNION ALL    SELECT
-     'web channel' channel
-   , concat('web_site', web_site_id) id
-   , sales
-   , returns
-   , profit
-   FROM
-     wsr
-)  x
-GROUP BY ROLLUP (channel, id)
-ORDER BY channel ASC, id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q81.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q81.sql
deleted file mode 100644
index 98a87f768a..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q81.sql
+++ /dev/null
@@ -1,47 +0,0 @@
-WITH
-  customer_total_return AS (
-   SELECT
-     cr_returning_customer_sk ctr_customer_sk
-   , ca_state ctr_state
-   , sum(cr_return_amt_inc_tax) ctr_total_return
-   FROM
-     catalog_returns
-   , date_dim
-   , customer_address
-   WHERE (cr_returned_date_sk = d_date_sk)
-      AND (d_year = 2000)
-      AND (cr_returning_addr_sk = ca_address_sk)
-   GROUP BY cr_returning_customer_sk, ca_state
-)
-SELECT
-  c_customer_id
-, c_salutation
-, c_first_name
-, c_last_name
-, ca_street_number
-, ca_street_name
-, ca_street_type
-, ca_suite_number
-, ca_city
-, ca_county
-, ca_state
-, ca_zip
-, ca_country
-, ca_gmt_offset
-, ca_location_type
-, ctr_total_return
-FROM
-  customer_total_return ctr1
-, customer_address
-, customer
-WHERE (ctr1.ctr_total_return > (
-      SELECT (avg(ctr_total_return) * 1.2)
-      FROM
-        customer_total_return ctr2
-      WHERE (ctr1.ctr_state = ctr2.ctr_state)
-   ))
-   AND (ca_address_sk = c_current_addr_sk)
-   AND (ca_state = 'GA')
-   AND (ctr1.ctr_customer_sk = c_customer_sk)
-ORDER BY c_customer_id ASC, c_salutation ASC, c_first_name ASC, c_last_name ASC, ca_street_number ASC, ca_street_name ASC, ca_street_type ASC, ca_suite_number ASC, ca_city ASC, ca_county ASC, ca_state ASC, ca_zip ASC, ca_country ASC, ca_gmt_offset ASC, ca_location_type ASC, ctr_total_return ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q82.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q82.sql
deleted file mode 100644
index ab53268336..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q82.sql
+++ /dev/null
@@ -1,19 +0,0 @@
-SELECT
-  i_item_id
-, i_item_desc
-, i_current_price
-FROM
-  item
-, inventory
-, date_dim
-, store_sales
-WHERE (i_current_price BETWEEN 62 AND (62 + 30))
-   AND (inv_item_sk = i_item_sk)
-   AND (d_date_sk = inv_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN CAST('2000-05-25' AS DATE) AND (CAST('2000-05-25' AS DATE) + INTERVAL  '60' DAY))
-   AND (i_manufact_id IN (129, 270, 821, 423))
-   AND (inv_quantity_on_hand BETWEEN 100 AND 500)
-   AND (ss_item_sk = i_item_sk)
-GROUP BY i_item_id, i_item_desc, i_current_price
-ORDER BY i_item_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q83.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q83.sql
deleted file mode 100644
index 841b3ece1d..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q83.sql
+++ /dev/null
@@ -1,87 +0,0 @@
-WITH
-  sr_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(sr_return_quantity) sr_item_qty
-   FROM
-     store_returns
-   , item
-   , date_dim
-   WHERE (sr_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq IN (
-         SELECT d_week_seq
-         FROM
-           date_dim
-         WHERE (d_date IN (CAST('2000-06-30' AS DATE)         , CAST('2000-09-27' AS DATE)         , CAST('2000-11-17' AS DATE)))
-      ))
-   ))
-      AND (sr_returned_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-, cr_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(cr_return_quantity) cr_item_qty
-   FROM
-     catalog_returns
-   , item
-   , date_dim
-   WHERE (cr_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq IN (
-         SELECT d_week_seq
-         FROM
-           date_dim
-         WHERE (d_date IN (CAST('2000-06-30' AS DATE)         , CAST('2000-09-27' AS DATE)         , CAST('2000-11-17' AS DATE)))
-      ))
-   ))
-      AND (cr_returned_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-, wr_items AS (
-   SELECT
-     i_item_id item_id
-   , sum(wr_return_quantity) wr_item_qty
-   FROM
-     web_returns
-   , item
-   , date_dim
-   WHERE (wr_item_sk = i_item_sk)
-      AND (d_date IN (
-      SELECT d_date
-      FROM
-        date_dim
-      WHERE (d_week_seq IN (
-         SELECT d_week_seq
-         FROM
-           date_dim
-         WHERE (d_date IN (CAST('2000-06-30' AS DATE)         , CAST('2000-09-27' AS DATE)         , CAST('2000-11-17' AS DATE)))
-      ))
-   ))
-      AND (wr_returned_date_sk = d_date_sk)
-   GROUP BY i_item_id
-)
-SELECT
-  sr_items.item_id
-, sr_item_qty
-, ((sr_item_qty / ((sr_item_qty + cr_item_qty) + wr_item_qty)) / 3.0) * 100 sr_dev
-, cr_item_qty
-, ((cr_item_qty / ((sr_item_qty + cr_item_qty) + wr_item_qty)) / 3.0) * 100 cr_dev
-, wr_item_qty
-, ((wr_item_qty / ((sr_item_qty + cr_item_qty) + wr_item_qty)) / 3.0) * 100 wr_dev
-, (((sr_item_qty + cr_item_qty) + wr_item_qty) / 3.00) average
-FROM
-  sr_items
-, cr_items
-, wr_items
-WHERE (sr_items.item_id = cr_items.item_id)
-   AND (sr_items.item_id = wr_items.item_id)
-ORDER BY sr_items.item_id ASC, sr_item_qty ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q84.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q84.sql
deleted file mode 100644
index a8da904008..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q84.sql
+++ /dev/null
@@ -1,20 +0,0 @@
-SELECT
-  c_customer_id customer_id
-, concat(concat(c_last_name, ', '), c_first_name) customername
-FROM
-  customer
-, customer_address
-, customer_demographics
-, household_demographics
-, income_band
-, store_returns
-WHERE (ca_city = 'Edgewood')
-   AND (c_current_addr_sk = ca_address_sk)
-   AND (ib_lower_bound >= 38128)
-   AND (ib_upper_bound <= (38128 + 50000))
-   AND (ib_income_band_sk = hd_income_band_sk)
-   AND (cd_demo_sk = c_current_cdemo_sk)
-   AND (hd_demo_sk = c_current_hdemo_sk)
-   AND (sr_cdemo_sk = cd_demo_sk)
-ORDER BY c_customer_id ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q85.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q85.sql
deleted file mode 100644
index 0ea1976209..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q85.sql
+++ /dev/null
@@ -1,50 +0,0 @@
-SELECT
-  substr(r_reason_desc, 1, 20)
-, avg(ws_quantity)
-, avg(wr_refunded_cash)
-, avg(wr_fee)
-FROM
-  web_sales
-, web_returns
-, web_page
-, customer_demographics cd1
-, customer_demographics cd2
-, customer_address
-, date_dim
-, reason
-WHERE (ws_web_page_sk = wp_web_page_sk)
-   AND (ws_item_sk = wr_item_sk)
-   AND (ws_order_number = wr_order_number)
-   AND (ws_sold_date_sk = d_date_sk)
-   AND (d_year = 2000)
-   AND (cd1.cd_demo_sk = wr_refunded_cdemo_sk)
-   AND (cd2.cd_demo_sk = wr_returning_cdemo_sk)
-   AND (ca_address_sk = wr_refunded_addr_sk)
-   AND (r_reason_sk = wr_reason_sk)
-   AND (((cd1.cd_marital_status = 'M')
-         AND (cd1.cd_marital_status = cd2.cd_marital_status)
-         AND (cd1.cd_education_status = 'Advanced Degree')
-         AND (cd1.cd_education_status = cd2.cd_education_status)
-         AND (ws_sales_price BETWEEN 100.00 AND 150.00))
-      OR ((cd1.cd_marital_status = 'S')
-         AND (cd1.cd_marital_status = cd2.cd_marital_status)
-         AND (cd1.cd_education_status = 'College')
-         AND (cd1.cd_education_status = cd2.cd_education_status)
-         AND (ws_sales_price BETWEEN 50.00 AND 100.00))
-      OR ((cd1.cd_marital_status = 'W')
-         AND (cd1.cd_marital_status = cd2.cd_marital_status)
-         AND (cd1.cd_education_status = '2 yr Degree')
-         AND (cd1.cd_education_status = cd2.cd_education_status)
-         AND (ws_sales_price BETWEEN 150.00 AND 200.00)))
-   AND (((ca_country = 'United States')
-         AND (ca_state IN ('IN'      , 'OH'      , 'NJ'))
-         AND (ws_net_profit BETWEEN 100 AND 200))
-      OR ((ca_country = 'United States')
-         AND (ca_state IN ('WI'      , 'CT'      , 'KY'))
-         AND (ws_net_profit BETWEEN 150 AND 300))
-      OR ((ca_country = 'United States')
-         AND (ca_state IN ('LA'      , 'IA'      , 'AR'))
-         AND (ws_net_profit BETWEEN 50 AND 250)))
-GROUP BY r_reason_desc
-ORDER BY substr(r_reason_desc, 1, 20) ASC, avg(ws_quantity) ASC, avg(wr_refunded_cash) ASC, avg(wr_fee) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q86.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q86.sql
deleted file mode 100644
index 41043807ef..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q86.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-SELECT
-  sum(ws_net_paid) total_sum
-, i_category
-, i_class
-, (GROUPING (i_category) + GROUPING (i_class)) lochierarchy
-, rank() OVER (PARTITION BY (GROUPING (i_category) + GROUPING (i_class)), (CASE WHEN (GROUPING (i_class) = 0) THEN i_category END) ORDER BY sum(ws_net_paid) DESC) rank_within_parent
-FROM
-  web_sales
-, date_dim d1
-, item
-WHERE (d1.d_month_seq BETWEEN 1200 AND (1200 + 11))
-   AND (d1.d_date_sk = ws_sold_date_sk)
-   AND (i_item_sk = ws_item_sk)
-GROUP BY ROLLUP (i_category, i_class)
-ORDER BY lochierarchy DESC, (CASE WHEN (lochierarchy = 0) THEN i_category END) ASC, rank_within_parent ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q87.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q87.sql
deleted file mode 100644
index 5303402f04..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q87.sql
+++ /dev/null
@@ -1,40 +0,0 @@
-SELECT count(*)
-FROM
-  (
-(
-      SELECT DISTINCT
-        c_last_name
-      , c_first_name
-      , d_date
-      FROM
-        store_sales
-      , date_dim
-      , customer
-      WHERE (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
-         AND (store_sales.ss_customer_sk = customer.c_customer_sk)
-         AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   ) EXCEPT (
-      SELECT DISTINCT
-        c_last_name
-      , c_first_name
-      , d_date
-      FROM
-        catalog_sales
-      , date_dim
-      , customer
-      WHERE (catalog_sales.cs_sold_date_sk = date_dim.d_date_sk)
-         AND (catalog_sales.cs_bill_customer_sk = customer.c_customer_sk)
-         AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   ) EXCEPT (
-      SELECT DISTINCT
-        c_last_name
-      , c_first_name
-      , d_date
-      FROM
-        web_sales
-      , date_dim
-      , customer
-      WHERE (web_sales.ws_sold_date_sk = date_dim.d_date_sk)
-         AND (web_sales.ws_bill_customer_sk = customer.c_customer_sk)
-         AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   ) )  cool_cust
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q88.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q88.sql
deleted file mode 100644
index 7ec710934e..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q88.sql
+++ /dev/null
@@ -1,162 +0,0 @@
-SELECT *
-FROM
-  (
-   SELECT count(*) h8_30_to_9
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 8)
-      AND (time_dim.t_minute >= 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s1
-, (
-   SELECT count(*) h9_to_9_30
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 9)
-      AND (time_dim.t_minute < 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s2
-, (
-   SELECT count(*) h9_30_to_10
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 9)
-      AND (time_dim.t_minute >= 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s3
-, (
-   SELECT count(*) h10_to_10_30
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 10)
-      AND (time_dim.t_minute < 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s4
-, (
-   SELECT count(*) h10_30_to_11
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 10)
-      AND (time_dim.t_minute >= 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s5
-, (
-   SELECT count(*) h11_to_11_30
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 11)
-      AND (time_dim.t_minute < 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s6
-, (
-   SELECT count(*) h11_30_to_12
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 11)
-      AND (time_dim.t_minute >= 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s7
-, (
-   SELECT count(*) h12_to_12_30
-   FROM
-     store_sales
-   , household_demographics
-   , time_dim
-   , store
-   WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-      AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (time_dim.t_hour = 12)
-      AND (time_dim.t_minute < 30)
-      AND (((household_demographics.hd_dep_count = 4)
-            AND (household_demographics.hd_vehicle_count <= (4 + 2)))
-         OR ((household_demographics.hd_dep_count = 2)
-            AND (household_demographics.hd_vehicle_count <= (2 + 2)))
-         OR ((household_demographics.hd_dep_count = 0)
-            AND (household_demographics.hd_vehicle_count <= (0 + 2))))
-      AND (store.s_store_name = 'ese')
-)  s8
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q89.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q89.sql
deleted file mode 100644
index 93b6445ca6..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q89.sql
+++ /dev/null
@@ -1,30 +0,0 @@
-SELECT *
-FROM
-  (
-   SELECT
-     i_category
-   , i_class
-   , i_brand
-   , s_store_name
-   , s_company_name
-   , d_moy
-   , sum(ss_sales_price) sum_sales
-   , avg(sum(ss_sales_price)) OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name) avg_monthly_sales
-   FROM
-     item
-   , store_sales
-   , date_dim
-   , store
-   WHERE (ss_item_sk = i_item_sk)
-      AND (ss_sold_date_sk = d_date_sk)
-      AND (ss_store_sk = s_store_sk)
-      AND (d_year IN (1999))
-      AND (((i_category IN ('Books'         , 'Electronics'         , 'Sports'))
-            AND (i_class IN ('computers'         , 'stereo'         , 'football')))
-         OR ((i_category IN ('Men'         , 'Jewelry'         , 'Women'))
-            AND (i_class IN ('shirts'         , 'birdal'         , 'dresses'))))
-   GROUP BY i_category, i_class, i_brand, s_store_name, s_company_name, d_moy
-)  tmp1
-WHERE ((CASE WHEN (avg_monthly_sales <> 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1)
-ORDER BY (sum_sales - avg_monthly_sales) ASC, s_store_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q90.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q90.sql
deleted file mode 100644
index 9602de0e06..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q90.sql
+++ /dev/null
@@ -1,32 +0,0 @@
-SELECT (amc / pmc) am_pm_ratio
-FROM
-  (
-   SELECT count(*) amc
-   FROM
-     web_sales
-   , household_demographics
-   , time_dim
-   , web_page
-   WHERE (ws_sold_time_sk = time_dim.t_time_sk)
-      AND (ws_ship_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ws_web_page_sk = web_page.wp_web_page_sk)
-      AND (time_dim.t_hour BETWEEN 8 AND (8 + 1))
-      AND (household_demographics.hd_dep_count = 6)
-      AND (web_page.wp_char_count BETWEEN 5000 AND 5200)
-)  at
-, (
-   SELECT count(*) pmc
-   FROM
-     web_sales
-   , household_demographics
-   , time_dim
-   , web_page
-   WHERE (ws_sold_time_sk = time_dim.t_time_sk)
-      AND (ws_ship_hdemo_sk = household_demographics.hd_demo_sk)
-      AND (ws_web_page_sk = web_page.wp_web_page_sk)
-      AND (time_dim.t_hour BETWEEN 19 AND (19 + 1))
-      AND (household_demographics.hd_dep_count = 6)
-      AND (web_page.wp_char_count BETWEEN 5000 AND 5200)
-)  pt
-ORDER BY am_pm_ratio ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q91.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q91.sql
deleted file mode 100644
index e95c78ace1..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q91.sql
+++ /dev/null
@@ -1,29 +0,0 @@
-SELECT
-  cc_call_center_id Call_Center
-, cc_name Call_Center_Name
-, cc_manager Manager
-, sum(cr_net_loss) Returns_Loss
-FROM
-  call_center
-, catalog_returns
-, date_dim
-, customer
-, customer_address
-, customer_demographics
-, household_demographics
-WHERE (cr_call_center_sk = cc_call_center_sk)
-   AND (cr_returned_date_sk = d_date_sk)
-   AND (cr_returning_customer_sk = c_customer_sk)
-   AND (cd_demo_sk = c_current_cdemo_sk)
-   AND (hd_demo_sk = c_current_hdemo_sk)
-   AND (ca_address_sk = c_current_addr_sk)
-   AND (d_year = 1998)
-   AND (d_moy = 11)
-   AND (((cd_marital_status = 'M')
-         AND (cd_education_status = 'Unknown'))
-      OR ((cd_marital_status = 'W')
-         AND (cd_education_status = 'Advanced Degree')))
-   AND (hd_buy_potential LIKE 'Unknown%')
-   AND (ca_gmt_offset = -7)
-GROUP BY cc_call_center_id, cc_name, cc_manager, cd_marital_status, cd_education_status
-ORDER BY sum(cr_net_loss) DESC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q92.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q92.sql
deleted file mode 100644
index 4447689f0b..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q92.sql
+++ /dev/null
@@ -1,20 +0,0 @@
-SELECT sum(ws_ext_discount_amt) 'Excess Discount Amount'
-FROM
-  web_sales
-, item
-, date_dim
-WHERE (i_manufact_id = 350)
-   AND (i_item_sk = ws_item_sk)
-   AND (d_date BETWEEN CAST('2000-01-27' AS DATE) AND (CAST('2000-01-27' AS DATE) + INTERVAL  '90' DAY))
-   AND (d_date_sk = ws_sold_date_sk)
-   AND (ws_ext_discount_amt > (
-      SELECT (1.3 * avg(ws_ext_discount_amt))
-      FROM
-        web_sales
-      , date_dim
-      WHERE (ws_item_sk = i_item_sk)
-         AND (d_date BETWEEN CAST('2000-01-27' AS DATE) AND (CAST('2000-01-27' AS DATE) + INTERVAL  '90' DAY))
-         AND (d_date_sk = ws_sold_date_sk)
-   ))
-ORDER BY sum(ws_ext_discount_amt) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q93.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q93.sql
deleted file mode 100644
index 68d38410c4..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q93.sql
+++ /dev/null
@@ -1,21 +0,0 @@
-SELECT
-  ss_customer_sk
-, sum(act_sales) sumsales
-FROM
-  (
-   SELECT
-     ss_item_sk
-   , ss_ticket_number
-   , ss_customer_sk
-   , (CASE WHEN (sr_return_quantity IS NOT NULL) THEN ((ss_quantity - sr_return_quantity) * ss_sales_price) ELSE (ss_quantity * ss_sales_price) END) act_sales
-   FROM
-     store_sales
-   LEFT JOIN store_returns ON (sr_item_sk = ss_item_sk)
-      AND (sr_ticket_number = ss_ticket_number)
-   , reason
-   WHERE (sr_reason_sk = r_reason_sk)
-      AND (r_reason_desc = 'reason 28')
-)  t
-GROUP BY ss_customer_sk
-ORDER BY sumsales ASC, ss_customer_sk ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q94.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q94.sql
deleted file mode 100644
index dffc9c0ca3..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q94.sql
+++ /dev/null
@@ -1,30 +0,0 @@
-SELECT
-  count(DISTINCT ws_order_number) 'order count'
-, sum(ws_ext_ship_cost) 'total shipping cost'
-, sum(ws_net_profit) 'total net profit'
-FROM
-  web_sales ws1
-, date_dim
-, customer_address
-, web_site
-WHERE (d_date BETWEEN CAST('1999-2-01' AS DATE) AND (CAST('1999-2-01' AS DATE) + INTERVAL  '60' DAY))
-   AND (ws1.ws_ship_date_sk = d_date_sk)
-   AND (ws1.ws_ship_addr_sk = ca_address_sk)
-   AND (ca_state = 'IL')
-   AND (ws1.ws_web_site_sk = web_site_sk)
-   AND (web_company_name = 'pri')
-   AND (EXISTS (
-   SELECT *
-   FROM
-     web_sales ws2
-   WHERE (ws1.ws_order_number = ws2.ws_order_number)
-      AND (ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
-))
-   AND (NOT (EXISTS (
-   SELECT *
-   FROM
-     web_returns wr1
-   WHERE (ws1.ws_order_number = wr1.wr_order_number)
-)))
-ORDER BY count(DISTINCT ws_order_number) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q95.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q95.sql
deleted file mode 100644
index 11bb6e65f2..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q95.sql
+++ /dev/null
@@ -1,41 +0,0 @@
-WITH
-  ws_wh AS (
-   SELECT
-     ws1.ws_order_number
-   , ws1.ws_warehouse_sk wh1
-   , ws2.ws_warehouse_sk wh2
-   FROM
-     web_sales ws1
-   , web_sales ws2
-   WHERE (ws1.ws_order_number = ws2.ws_order_number)
-      AND (ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
-)
-SELECT
-  count(DISTINCT ws_order_number) 'order count'
-, sum(ws_ext_ship_cost) 'total shipping cost'
-, sum(ws_net_profit) 'total net profit'
-FROM
-  web_sales ws1
-, date_dim
-, customer_address
-, web_site
-WHERE (CAST(d_date AS DATE) BETWEEN CAST('1999-2-01' AS DATE) AND (CAST('1999-2-01' AS DATE) + INTERVAL  '60' DAY))
-   AND (ws1.ws_ship_date_sk = d_date_sk)
-   AND (ws1.ws_ship_addr_sk = ca_address_sk)
-   AND (ca_state = 'IL')
-   AND (ws1.ws_web_site_sk = web_site_sk)
-   AND (web_company_name = 'pri')
-   AND (ws1.ws_order_number IN (
-   SELECT ws_order_number
-   FROM
-     ws_wh
-))
-   AND (ws1.ws_order_number IN (
-   SELECT wr_order_number
-   FROM
-     web_returns
-   , ws_wh
-   WHERE (wr_order_number = ws_wh.ws_order_number)
-))
-ORDER BY count(DISTINCT ws_order_number) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q96.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q96.sql
deleted file mode 100644
index 0d97f3f721..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q96.sql
+++ /dev/null
@@ -1,15 +0,0 @@
-SELECT count(*)
-FROM
-  store_sales
-, household_demographics
-, time_dim
-, store
-WHERE (ss_sold_time_sk = time_dim.t_time_sk)
-   AND (ss_hdemo_sk = household_demographics.hd_demo_sk)
-   AND (ss_store_sk = s_store_sk)
-   AND (time_dim.t_hour = 20)
-   AND (time_dim.t_minute >= 30)
-   AND (household_demographics.hd_dep_count = 7)
-   AND (store.s_store_name = 'ese')
-ORDER BY count(*) ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q97.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q97.sql
deleted file mode 100644
index 8ef9957a3b..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q97.sql
+++ /dev/null
@@ -1,35 +0,0 @@
-WITH
-  ssci AS (
-   SELECT
-     ss_customer_sk customer_sk
-   , ss_item_sk item_sk
-   FROM
-     store_sales
-   , date_dim
-   WHERE (ss_sold_date_sk = d_date_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   GROUP BY ss_customer_sk, ss_item_sk
-)
-, csci AS (
-   SELECT
-     cs_bill_customer_sk customer_sk
-   , cs_item_sk item_sk
-   FROM
-     catalog_sales
-   , date_dim
-   WHERE (cs_sold_date_sk = d_date_sk)
-      AND (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   GROUP BY cs_bill_customer_sk, cs_item_sk
-)
-SELECT
-  sum((CASE WHEN (ssci.customer_sk IS NOT NULL)
-   AND (csci.customer_sk IS NULL) THEN 1 ELSE 0 END)) store_only
-, sum((CASE WHEN (ssci.customer_sk IS NULL)
-   AND (csci.customer_sk IS NOT NULL) THEN 1 ELSE 0 END)) catalog_only
-, sum((CASE WHEN (ssci.customer_sk IS NOT NULL)
-   AND (csci.customer_sk IS NOT NULL) THEN 1 ELSE 0 END)) store_and_catalog
-FROM
-  ssci
-FULL JOIN csci ON (ssci.customer_sk = csci.customer_sk)
-   AND (ssci.item_sk = csci.item_sk)
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q98.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q98.sql
deleted file mode 100644
index bb1c5fb3a5..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q98.sql
+++ /dev/null
@@ -1,18 +0,0 @@
-SELECT
-  i_item_id
-, i_item_desc
-, i_category
-, i_class
-, i_current_price
-, sum(ss_ext_sales_price) itemrevenue
-, ((sum(ss_ext_sales_price) * 100) / sum(sum(ss_ext_sales_price)) OVER (PARTITION BY i_class)) revenueratio
-FROM
-  store_sales
-, item
-, date_dim
-WHERE (ss_item_sk = i_item_sk)
-   AND (i_category IN ('Sports', 'Books', 'Home'))
-   AND (ss_sold_date_sk = d_date_sk)
-   AND (CAST(d_date AS DATE) BETWEEN CAST('1999-02-22' AS DATE) AND (CAST('1999-02-22' AS DATE) + INTERVAL  '30' DAY))
-GROUP BY i_item_id, i_item_desc, i_category, i_class, i_current_price
-ORDER BY i_category ASC, i_class ASC, i_item_id ASC, i_item_desc ASC, revenueratio ASC
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q99.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q99.sql
deleted file mode 100644
index 36fcb3c65f..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q99.sql
+++ /dev/null
@@ -1,26 +0,0 @@
-SELECT
-  substr(w_warehouse_name, 1, 20)
-, sm_type
-, cc_name
-, sum((CASE WHEN ((cs_ship_date_sk - cs_sold_date_sk) <= 30) THEN 1 ELSE 0 END)) '30 days'
-, sum((CASE WHEN ((cs_ship_date_sk - cs_sold_date_sk) > 30)
-   AND ((cs_ship_date_sk - cs_sold_date_sk) <= 60) THEN 1 ELSE 0 END)) '31-60 days'
-, sum((CASE WHEN ((cs_ship_date_sk - cs_sold_date_sk) > 60)
-   AND ((cs_ship_date_sk - cs_sold_date_sk) <= 90) THEN 1 ELSE 0 END)) '61-90 days'
-, sum((CASE WHEN ((cs_ship_date_sk - cs_sold_date_sk) > 90)
-   AND ((cs_ship_date_sk - cs_sold_date_sk) <= 120) THEN 1 ELSE 0 END)) '91-120 days'
-, sum((CASE WHEN ((cs_ship_date_sk - cs_sold_date_sk) > 120) THEN 1 ELSE 0 END)) '>120 days'
-FROM
-  catalog_sales
-, warehouse
-, ship_mode
-, call_center
-, date_dim
-WHERE (d_month_seq BETWEEN 1200 AND (1200 + 11))
-   AND (cs_ship_date_sk = d_date_sk)
-   AND (cs_warehouse_sk = w_warehouse_sk)
-   AND (cs_ship_mode_sk = sm_ship_mode_sk)
-   AND (cs_call_center_sk = cc_call_center_sk)
-GROUP BY substr(w_warehouse_name, 1, 20), sm_type, cc_name
-ORDER BY substr(w_warehouse_name, 1, 20) ASC, sm_type ASC, cc_name ASC
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/row_same_bit.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/row_same_bit.sql
deleted file mode 100644
index 68ad7e891f..0000000000
--- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/row_same_bit.sql
+++ /dev/null
@@ -1,22 +0,0 @@
-SELECT
-    coalesce(
-        coalesce(BITMAP_EMPTY(), BITMAP_EMPTY()),
-        CASE
-            WHEN ref_12.`cs_bill_cdemo_sk` IS NOT NULL THEN NULL
-            ELSE NULL
-        END
-    ) AS c0
-FROM
-    regression_test_datev2_tpcds_sf1_p1.catalog_sales AS ref_12
-WHERE
-    BITMAP_SUBSET_IN_RANGE(
-        cast(NULL AS bitmap),
-        cast(
-            BITMAP_MIN(cast(BITMAP_EMPTY() AS bitmap)) AS bigint
-        ),
-        cast(ref_12.`cs_bill_addr_sk` AS bigint)
-    ) IS NOT NULL
-ORDER BY
-    ref_12.`cs_sold_date_sk`
-LIMIT
-    97 OFFSET 125;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/customer.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/customer.sql
deleted file mode 100644
index f81902a585..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/customer.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-CREATE TABLE IF NOT EXISTS customer (
-  C_CUSTKEY     INTEGER NOT NULL,
-  C_NAME        VARCHAR(25) NOT NULL,
-  C_ADDRESS     VARCHAR(40) NOT NULL,
-  C_NATIONKEY   INTEGER NOT NULL,
-  C_PHONE       CHAR(15) NOT NULL,
-  C_ACCTBAL     DECIMAL(15,2)   NOT NULL,
-  C_MKTSEGMENT  CHAR(10) NOT NULL,
-  C_COMMENT     VARCHAR(117) NOT NULL
-)
-UNIQUE KEY(C_CUSTKEY)
-DISTRIBUTED BY HASH(C_CUSTKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/customer_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/customer_delete.sql
deleted file mode 100644
index a214fe920c..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/customer_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE FROM customer where C_CUSTKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/lineitem.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/lineitem.sql
deleted file mode 100644
index 29a65777c7..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/lineitem.sql
+++ /dev/null
@@ -1,24 +0,0 @@
-CREATE TABLE IF NOT EXISTS lineitem (
-  L_ORDERKEY    INTEGER NOT NULL,
-  L_PARTKEY     INTEGER NOT NULL,
-  L_SUPPKEY     INTEGER NOT NULL,
-  L_LINENUMBER  INTEGER NOT NULL,
-  L_QUANTITY    DECIMAL(15,2) NOT NULL,
-  L_EXTENDEDPRICE  DECIMAL(15,2) NOT NULL,
-  L_DISCOUNT    DECIMAL(15,2) NOT NULL,
-  L_TAX         DECIMAL(15,2) NOT NULL,
-  L_RETURNFLAG  CHAR(1) NOT NULL,
-  L_LINESTATUS  CHAR(1) NOT NULL,
-  L_SHIPDATE    DATEV2 NOT NULL,
-  L_COMMITDATE  DATEV2 NOT NULL,
-  L_RECEIPTDATE DATEV2 NOT NULL,
-  L_SHIPINSTRUCT CHAR(25) NOT NULL,
-  L_SHIPMODE     CHAR(10) NOT NULL,
-  L_COMMENT      VARCHAR(44) NOT NULL
-)
-UNIQUE KEY(L_ORDERKEY, L_PARTKEY, L_SUPPKEY, L_LINENUMBER)
-DISTRIBUTED BY HASH(L_ORDERKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/lineitem_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/lineitem_delete.sql
deleted file mode 100644
index 6dbbe49ed0..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/lineitem_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE from lineitem where L_ORDERKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/nation.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/nation.sql
deleted file mode 100644
index d83e91c001..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/nation.sql
+++ /dev/null
@@ -1,12 +0,0 @@
-CREATE TABLE IF NOT EXISTS nation  (
-  N_NATIONKEY  INTEGER NOT NULL,
-  N_NAME       CHAR(25) NOT NULL,
-  N_REGIONKEY  INTEGER NOT NULL,
-  N_COMMENT    VARCHAR(152)
-)
-UNIQUE KEY(N_NATIONKEY)
-DISTRIBUTED BY HASH(N_NATIONKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/nation_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/nation_delete.sql
deleted file mode 100644
index 9fb7c085a6..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/nation_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE from nation where N_NATIONKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/orders.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/orders.sql
deleted file mode 100644
index 12bc189f34..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/orders.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-CREATE TABLE IF NOT EXISTS orders  (
-  O_ORDERKEY       INTEGER NOT NULL,
-  O_CUSTKEY        INTEGER NOT NULL,
-  O_ORDERSTATUS    CHAR(1) NOT NULL,
-  O_TOTALPRICE     DECIMAL(15,2) NOT NULL,
-  O_ORDERDATE      DATEV2 NOT NULL,
-  O_ORDERPRIORITY  CHAR(15) NOT NULL,  
-  O_CLERK          CHAR(15) NOT NULL, 
-  O_SHIPPRIORITY   INTEGER NOT NULL,
-  O_COMMENT        VARCHAR(79) NOT NULL
-)
-UNIQUE KEY(O_ORDERKEY)
-DISTRIBUTED BY HASH(O_ORDERKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/orders_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/orders_delete.sql
deleted file mode 100644
index 5199d8f296..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/orders_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from orders where O_ORDERKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/part.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/part.sql
deleted file mode 100644
index 30881dfc91..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/part.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-CREATE TABLE IF NOT EXISTS part (
-  P_PARTKEY     INTEGER NOT NULL,
-  P_NAME        VARCHAR(55) NOT NULL,
-  P_MFGR        CHAR(25) NOT NULL,
-  P_BRAND       CHAR(10) NOT NULL,
-  P_TYPE        VARCHAR(25) NOT NULL,
-  P_SIZE        INTEGER NOT NULL,
-  P_CONTAINER   CHAR(10) NOT NULL,
-  P_RETAILPRICE DECIMAL(15,2) NOT NULL,
-  P_COMMENT     VARCHAR(23) NOT NULL 
-)
-UNIQUE KEY(P_PARTKEY)
-DISTRIBUTED BY HASH(P_PARTKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/part_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/part_delete.sql
deleted file mode 100644
index ee1a2e5104..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/part_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from part where P_PARTKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/partsupp.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/partsupp.sql
deleted file mode 100644
index 6c35db2152..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/partsupp.sql
+++ /dev/null
@@ -1,13 +0,0 @@
-CREATE TABLE IF NOT EXISTS partsupp (
-  PS_PARTKEY     INTEGER NOT NULL,
-  PS_SUPPKEY     INTEGER NOT NULL,
-  PS_AVAILQTY    INTEGER NOT NULL,
-  PS_SUPPLYCOST  DECIMAL(15,2)  NOT NULL,
-  PS_COMMENT     VARCHAR(199) NOT NULL 
-)
-UNIQUE KEY(PS_PARTKEY, PS_SUPPKEY)
-DISTRIBUTED BY HASH(PS_PARTKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/partsupp_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/partsupp_delete.sql
deleted file mode 100644
index 067cff3a6f..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/partsupp_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from partsupp where PS_PARTKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/region.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/region.sql
deleted file mode 100644
index f83fd250ec..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/region.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-CREATE TABLE IF NOT EXISTS region (
-  R_REGIONKEY  INTEGER NOT NULL,
-  R_NAME       CHAR(25) NOT NULL,
-  R_COMMENT    VARCHAR(152)
-)
-UNIQUE KEY(R_REGIONKEY)
-DISTRIBUTED BY HASH(R_REGIONKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/region_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/region_delete.sql
deleted file mode 100644
index 4945d5105a..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/region_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from region where R_REGIONKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/revenue1.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/revenue1.sql
deleted file mode 100644
index 508f78b573..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/revenue1.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-CREATE VIEW IF NOT EXISTS revenue1 AS
-  SELECT
-    l_suppkey AS supplier_no,
-    sum(l_extendedprice * (1 - l_discount)) AS total_revenue
-  FROM
-    lineitem
-  WHERE
-    l_shipdate >= DATEV2 '1996-01-01'
-    AND l_shipdate < DATEV2 '1996-01-01' + INTERVAL '3' MONTH
-GROUP BY
-  l_suppkey;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/revenue1_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/revenue1_delete.sql
deleted file mode 100644
index c2ee91a38a..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/revenue1_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-drop view IF EXISTS revenue1;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/supplier.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/supplier.sql
deleted file mode 100644
index 8d09b6848b..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/supplier.sql
+++ /dev/null
@@ -1,14 +0,0 @@
-CREATE TABLE IF NOT EXISTS supplier (
-  S_SUPPKEY     INTEGER NOT NULL,
-  S_NAME        CHAR(25) NOT NULL,
-  S_ADDRESS     VARCHAR(40) NOT NULL,
-  S_NATIONKEY   INTEGER NOT NULL,
-  S_PHONE       CHAR(15) NOT NULL,
-  S_ACCTBAL     DECIMAL(15,2) NOT NULL,
-  S_COMMENT     VARCHAR(101) NOT NULL
-)
-UNIQUE KEY(S_SUPPKEY)
-DISTRIBUTED BY HASH(S_SUPPKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/supplier_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/supplier_delete.sql
deleted file mode 100644
index d8327a8f85..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/ddl/supplier_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from supplier where S_SUPPKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/load.groovy b/regression-test/suites/datev2/tpch_sf0.1_p1/load.groovy
deleted file mode 100644
index 9b8d54a4da..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/load.groovy
+++ /dev/null
@@ -1,81 +0,0 @@
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-
-// Most of the cases are copied from https://github.com/trinodb/trino/tree/master
-// /testing/trino-product-tests/src/main/resources/sql-tests/testcases
-// and modified by Doris.
-
-// syntax error:
-// q06 q13 q15
-// Test 23 suites, failed 3 suites
-
-// Note: To filter out tables from sql files, use the following one-liner comamnd
-// sed -nr 's/.*tables: (.*)$/\1/gp' /path/to/*.sql | sed -nr 's/,/\n/gp' | sort | uniq
-suite("load") {
-    def tables = [customer: ["c_custkey, c_name, c_address, c_nationkey, c_phone, c_acctbal, c_mktsegment, c_comment,temp"],
-                  lineitem: ["l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag,l_linestatus, l_shipdate,l_commitdate,l_receiptdate,l_shipinstruct,l_shipmode,l_comment,temp"],
-                  nation  : ["n_nationkey, n_name, n_regionkey, n_comment, temp"],
-                  orders  : ["o_orderkey, o_custkey, o_orderstatus, o_totalprice, o_orderdate, o_orderpriority, o_clerk, o_shippriority, o_comment, temp"],
-                  part    : ["p_partkey, p_name, p_mfgr, p_brand, p_type, p_size, p_container, p_retailprice, p_comment, temp"],
-                  partsupp: ["ps_partkey,ps_suppkey,ps_availqty,ps_supplycost,ps_comment,temp"],
-                  region  : ["r_regionkey, r_name, r_comment,temp"],
-                  supplier: ["s_suppkey, s_name, s_address, s_nationkey, s_phone, s_acctbal, s_comment,temp"]]
-
-    tables.forEach { tableName, columns ->
-        sql new File("""${context.file.parent}/ddl/${tableName}.sql""").text
-        sql new File("""${context.file.parent}/ddl/${tableName}_delete.sql""").text
-        streamLoad {
-            // a default db 'regression_test' is specified in
-            // ${DORIS_HOME}/conf/regression-conf.groovy
-            table "${tableName}"
-
-            // default label is UUID:
-            // set 'label' UUID.randomUUID().toString()
-
-            // default column_separator is specify in doris fe config, usually is '\t'.
-            // this line change to ','
-            set 'column_separator', '|'
-            set 'compress_type', 'GZ'
-            set 'columns', "${columns[0]}"
-
-            // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
-            // also, you can stream load a http stream, e.g. http://xxx/some.csv
-            file """${getS3Url()}/regression/tpch/sf0.1/${tableName}.tbl.gz"""
-
-            time 10000 // limit inflight 10s
-
-            // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
-
-            // if declared a check callback, the default check condition will ignore.
-            // So you must check all condition
-            check { result, exception, startTime, endTime ->
-                if (exception != null) {
-                    throw exception
-                }
-                log.info("Stream load result: ${result}".toString())
-                def json = parseJson(result)
-                assertEquals("success", json.Status.toLowerCase())
-                assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
-                assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
-            }
-        }
-    }
-
-    def table = "revenue1"
-    sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
-    sql new File("""${context.file.parent}/ddl/${table}.sql""").text
-}
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q01.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q01.sql
deleted file mode 100644
index 1c921f6705..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q01.sql
+++ /dev/null
@@ -1,22 +0,0 @@
--- tables: lineitem
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  l_returnflag,
-  l_linestatus,
-  sum(l_quantity)                                       AS sum_qty,
-  sum(l_extendedprice)                                  AS sum_base_price,
-  sum(l_extendedprice * (1 - l_discount))               AS sum_disc_price,
-  sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge,
-  avg(l_quantity)                                       AS avg_qty,
-  avg(l_extendedprice)                                  AS avg_price,
-  avg(l_discount)                                       AS avg_disc,
-  count(*)                                              AS count_order
-FROM
-  lineitem
-WHERE
-  l_shipdate <= DATEV2 '1998-12-01' - INTERVAL '90' DAY
-GROUP BY
-l_returnflag,
-l_linestatus
-ORDER BY
-l_returnflag,
-l_linestatus
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q02.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q02.sql
deleted file mode 100644
index c6df889531..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q02.sql
+++ /dev/null
@@ -1,42 +0,0 @@
--- tables: part,supplier,partsupp,nation,region
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_acctbal,
-  s_name,
-  n_name,
-  p_partkey,
-  p_mfgr,
-  s_address,
-  s_phone,
-  s_comment
-FROM
-  part,
-  supplier,
-  partsupp,
-  nation,
-  region
-WHERE
-  p_partkey = ps_partkey
-  AND s_suppkey = ps_suppkey
-  AND p_size = 15
-  AND p_type LIKE '%BRASS'
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'EUROPE'
-  AND ps_supplycost = (
-    SELECT min(ps_supplycost)
-    FROM
-      partsupp, supplier,
-      nation, region
-    WHERE
-      p_partkey = ps_partkey
-      AND s_suppkey = ps_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_regionkey = r_regionkey
-      AND r_name = 'EUROPE'
-  )
-ORDER BY
-  s_acctbal DESC,
-  n_name,
-  s_name,
-  p_partkey
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q03.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q03.sql
deleted file mode 100644
index 35a140d726..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q03.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  l_orderkey,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  o_orderdate,
-  o_shippriority
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  c_mktsegment = 'BUILDING'
-  AND c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate < DATEV2 '1995-03-15'
-  AND l_shipdate > DATEV2 '1995-03-15'
-GROUP BY
-  l_orderkey,
-  o_orderdate,
-  o_shippriority
-ORDER BY
-  revenue DESC,
-  o_orderdate
-LIMIT 10
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q04.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q04.sql
deleted file mode 100644
index 6a84f56d4d..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q04.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: orders,lineitem
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  o_orderpriority,
-  count(*) AS order_count
-FROM orders
-WHERE
-  o_orderdate >= DATEV2 '1993-07-01'
-  AND o_orderdate < DATEV2 '1993-07-01' + INTERVAL '3' MONTH
-AND EXISTS (
-SELECT *
-FROM lineitem
-WHERE
-l_orderkey = o_orderkey
-AND l_commitdate < l_receiptdate
-)
-GROUP BY
-o_orderpriority
-ORDER BY
-o_orderpriority
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q05.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q05.sql
deleted file mode 100644
index 92ae96dafd..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q05.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- tables: customer,orders,lineitem,supplier,nation,region
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  n_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  customer,
-  orders,
-  lineitem,
-  supplier,
-  nation,
-  region
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND l_suppkey = s_suppkey
-  AND c_nationkey = s_nationkey
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'ASIA'
-  AND o_orderdate >= DATEV2 '1994-01-01'
-  AND o_orderdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-n_name
-ORDER BY
-revenue DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q06.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q06.sql
deleted file mode 100644
index 10c9f58e8f..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q06.sql
+++ /dev/null
@@ -1,11 +0,0 @@
--- tables: lineitem
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ sum(l_extendedprice * l_discount) AS revenue
-FROM
-  lineitem
-WHERE
-  l_shipdate >= DATEV2 '1994-01-01'
-  AND l_shipdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-AND l_discount BETWEEN 0.06 - 0.01 AND .06 + 0.01
-AND l_quantity < 24
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q07.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q07.sql
deleted file mode 100644
index 25749ccf72..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q07.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,customer,nation
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  supp_nation,
-  cust_nation,
-  l_year,
-  sum(volume) AS revenue
-FROM (
-       SELECT
-         n1.n_name                          AS supp_nation,
-         n2.n_name                          AS cust_nation,
-         extract(YEAR FROM l_shipdate)      AS l_year,
-         l_extendedprice * (1 - l_discount) AS volume
-       FROM
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2
-       WHERE
-         s_suppkey = l_suppkey
-         AND o_orderkey = l_orderkey
-         AND c_custkey = o_custkey
-         AND s_nationkey = n1.n_nationkey
-         AND c_nationkey = n2.n_nationkey
-         AND (
-           (n1.n_name = 'FRANCE' AND n2.n_name = 'GERMANY')
-           OR (n1.n_name = 'GERMANY' AND n2.n_name = 'FRANCE')
-         )
-         AND l_shipdate BETWEEN DATEV2 '1995-01-01' AND DATEV2 '1996-12-31'
-     ) AS shipping
-GROUP BY
-  supp_nation,
-  cust_nation,
-  l_year
-ORDER BY
-  supp_nation,
-  cust_nation,
-  l_year
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q08.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q08.sql
deleted file mode 100644
index 02dcc3d684..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q08.sql
+++ /dev/null
@@ -1,38 +0,0 @@
--- tables: part,supplier,lineitem,orders,customer,nation,region
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  o_year,
-  sum(CASE
-      WHEN nation = 'BRAZIL'
-        THEN volume
-      ELSE 0
-      END) / sum(volume) AS mkt_share
-FROM (
-       SELECT
-         extract(YEAR FROM o_orderdate)     AS o_year,
-         l_extendedprice * (1 - l_discount) AS volume,
-         n2.n_name                          AS nation
-       FROM
-         part,
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2,
-         region
-       WHERE
-         p_partkey = l_partkey
-         AND s_suppkey = l_suppkey
-         AND l_orderkey = o_orderkey
-         AND o_custkey = c_custkey
-         AND c_nationkey = n1.n_nationkey
-         AND n1.n_regionkey = r_regionkey
-         AND r_name = 'AMERICA'
-         AND s_nationkey = n2.n_nationkey
-         AND o_orderdate BETWEEN DATEV2 '1995-01-01' AND DATEV2 '1996-12-31'
-         AND p_type = 'ECONOMY ANODIZED STEEL'
-     ) AS all_nations
-GROUP BY
-  o_year
-ORDER BY
-  o_year
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q09.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q09.sql
deleted file mode 100644
index 7c3100b15c..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q09.sql
+++ /dev/null
@@ -1,32 +0,0 @@
--- tables: part,supplier,lineitem,partsupp,orders,nation
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  nation,
-  o_year,
-  sum(amount) AS sum_profit
-FROM (
-       SELECT
-         n_name                                                          AS nation,
-         extract(YEAR FROM o_orderdate)                                  AS o_year,
-         l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount
-       FROM
-         part,
-         supplier,
-         lineitem,
-         partsupp,
-         orders,
-         nation
-       WHERE
-         s_suppkey = l_suppkey
-         AND ps_suppkey = l_suppkey
-         AND ps_partkey = l_partkey
-         AND p_partkey = l_partkey
-         AND o_orderkey = l_orderkey
-         AND s_nationkey = n_nationkey
-         AND p_name LIKE '%green%'
-     ) AS profit
-GROUP BY
-  nation,
-  o_year
-ORDER BY
-  nation,
-  o_year DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q10.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q10.sql
deleted file mode 100644
index cf666a899b..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q10.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: customer,orders,lineitem,nation
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_custkey,
-  c_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  c_acctbal,
-  n_name,
-  c_address,
-  c_phone,
-  c_comment
-FROM
-  customer,
-  orders,
-  lineitem,
-  nation
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate >= DATEV2 '1993-10-01'
-  AND o_orderdate < DATEV2 '1993-10-01' + INTERVAL '3' MONTH
-  AND l_returnflag = 'R'
-  AND c_nationkey = n_nationkey
-GROUP BY
-  c_custkey,
-  c_name,
-  c_acctbal,
-  c_phone,
-  n_name,
-  c_address,
-  c_comment
-ORDER BY
-  revenue DESC
-LIMIT 20
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q11.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q11.sql
deleted file mode 100644
index 2e99bf1b52..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q11.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- tables: partsupp,supplier,nation
-SELECT /*+SET_VAR(experimental_enable_pipeline_engine=true) */
-  ps_partkey,
-  sum(ps_supplycost * ps_availqty) AS value
-FROM
-  partsupp,
-  supplier,
-  nation
-WHERE
-  ps_suppkey = s_suppkey
-  AND s_nationkey = n_nationkey
-  AND n_name = 'GERMANY'
-GROUP BY
-  ps_partkey
-HAVING
-  sum(ps_supplycost * ps_availqty) > (
-    SELECT sum(ps_supplycost * ps_availqty) * 0.0001
-    FROM
-      partsupp,
-      supplier,
-      nation
-    WHERE
-      ps_suppkey = s_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_name = 'GERMANY'
-  )
-ORDER BY
-  value DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q12.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q12.sql
deleted file mode 100644
index 4a6e3ed2d2..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q12.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- tables: orders,lineitem
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  l_shipmode,
-  sum(CASE
-      WHEN o_orderpriority = '1-URGENT'
-           OR o_orderpriority = '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS high_line_count,
-  sum(CASE
-      WHEN o_orderpriority <> '1-URGENT'
-           AND o_orderpriority <> '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS low_line_count
-FROM
-  orders,
-  lineitem
-WHERE
-  o_orderkey = l_orderkey
-  AND l_shipmode IN ('MAIL', 'SHIP')
-  AND l_commitdate < l_receiptdate
-  AND l_shipdate < l_commitdate
-  AND l_receiptdate >= DATEV2 '1994-01-01'
-  AND l_receiptdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-  l_shipmode
-ORDER BY
-  l_shipmode
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q13.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q13.sql
deleted file mode 100644
index 58eeaf2e7a..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q13.sql
+++ /dev/null
@@ -1,21 +0,0 @@
--- tables: customer
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_count,
-  count(*) AS custdist
-FROM (
-       SELECT
-         c_custkey,
-         count(o_orderkey) AS c_count
-       FROM
-         customer
-         LEFT OUTER JOIN orders ON
-                                  c_custkey = o_custkey
-                                  AND o_comment NOT LIKE '%special%requests%'
-       GROUP BY
-         c_custkey
-     ) AS c_orders
-GROUP BY
-  c_count
-ORDER BY
-  custdist DESC,
-  c_count DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q14.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q14.sql
deleted file mode 100644
index 080a5dbe1d..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q14.sql
+++ /dev/null
@@ -1,13 +0,0 @@
--- tables: lineitem,part
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ 100.00 * sum(CASE
-                    WHEN p_type LIKE 'PROMO%'
-                      THEN l_extendedprice * (1 - l_discount)
-                    ELSE 0
-                    END) / sum(l_extendedprice * (1 - l_discount)) AS promo_revenue
-FROM
-  lineitem,
-  part
-WHERE
-  l_partkey = p_partkey
-  AND l_shipdate >= DATEV2 '1995-09-01'
-  AND l_shipdate < DATEV2 '1995-09-01' + INTERVAL '1' MONTH
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q15.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q15.sql
deleted file mode 100644
index 4a725db9f9..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q15.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: lineitem,supplier
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_suppkey,
-  s_name,
-  s_address,
-  s_phone,
-  total_revenue
-FROM
-  supplier,
-  revenue1
-WHERE
-  s_suppkey = supplier_no
-  AND total_revenue = (
-    SELECT max(total_revenue)
-    FROM
-      revenue1
-  )
-ORDER BY
-  s_suppkey;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q16.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q16.sql
deleted file mode 100644
index 001c33941b..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q16.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- tables: partsupp,part,supplier
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  p_brand,
-  p_type,
-  p_size,
-  count(DISTINCT ps_suppkey) AS supplier_cnt
-FROM
-  partsupp,
-  part
-WHERE
-  p_partkey = ps_partkey
-  AND p_brand <> 'Brand#45'
-  AND p_type NOT LIKE 'MEDIUM POLISHED%'
-  AND p_size IN (49, 14, 23, 45, 19, 3, 36, 9)
-  AND ps_suppkey NOT IN (
-    SELECT s_suppkey
-    FROM
-      supplier
-    WHERE
-      s_comment LIKE '%Customer%Complaints%'
-  )
-GROUP BY
-  p_brand,
-  p_type,
-  p_size
-ORDER BY
-  supplier_cnt DESC,
-  p_brand,
-  p_type,
-  p_size
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q17.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q17.sql
deleted file mode 100644
index 3f949c4881..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q17.sql
+++ /dev/null
@@ -1,16 +0,0 @@
--- tables: lineitem,part
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ sum(l_extendedprice) / 7.0 AS avg_yearly
-FROM
-  lineitem,
-  part
-WHERE
-  p_partkey = l_partkey
-  AND p_brand = 'Brand#23'
-  AND p_container = 'MED BOX'
-  AND l_quantity < (
-    SELECT 0.2 * avg(l_quantity)
-    FROM
-      lineitem
-    WHERE
-      l_partkey = p_partkey
-  )
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q18.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q18.sql
deleted file mode 100644
index ed1560428f..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q18.sql
+++ /dev/null
@@ -1,34 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice,
-  sum(l_quantity)
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  o_orderkey IN (
-    SELECT l_orderkey
-    FROM
-      lineitem
-    GROUP BY
-      l_orderkey
-    HAVING
-      sum(l_quantity) > 300
-  )
-  AND c_custkey = o_custkey
-  AND o_orderkey = l_orderkey
-GROUP BY
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice
-ORDER BY
-  o_totalprice DESC,
-  o_orderdate
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q19.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q19.sql
deleted file mode 100644
index 0e11edf305..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q19.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: lineitem,part
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  lineitem,
-  part
-WHERE
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#12'
-    AND p_container IN ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
-    AND l_quantity >= 1 AND l_quantity <= 1 + 10
-    AND p_size BETWEEN 1 AND 5
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#23'
-    AND p_container IN ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
-    AND l_quantity >= 10 AND l_quantity <= 10 + 10
-    AND p_size BETWEEN 1 AND 10
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#34'
-    AND p_container IN ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
-    AND l_quantity >= 20 AND l_quantity <= 20 + 10
-    AND p_size BETWEEN 1 AND 15
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q20.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q20.sql
deleted file mode 100644
index 826537af37..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q20.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: supplier,nation,partsupp,lineitem,part
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_name,
-  s_address
-FROM
-  supplier, nation
-WHERE
-  s_suppkey IN (
-    SELECT ps_suppkey
-    FROM
-      partsupp
-    WHERE
-      ps_partkey IN (
-        SELECT p_partkey
-        FROM
-          part
-        WHERE
-          p_name LIKE 'forest%'
-      )
-      AND ps_availqty > (
-        SELECT 0.5 * sum(l_quantity)
-        FROM
-          lineitem
-        WHERE
-          l_partkey = ps_partkey
-          AND l_suppkey = ps_suppkey
-          AND l_shipdate >= datev2('1994-01-01')
-          AND l_shipdate < datev2('1994-01-01') + interval '1' YEAR
-)
-)
-AND s_nationkey = n_nationkey
-AND n_name = 'CANADA'
-ORDER BY s_name
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q21.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q21.sql
deleted file mode 100644
index d9d75912c1..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q21.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,nation
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_name,
-  count(*) AS numwait
-FROM
-  supplier,
-  lineitem l1,
-  orders,
-  nation
-WHERE
-  s_suppkey = l1.l_suppkey
-  AND o_orderkey = l1.l_orderkey
-  AND o_orderstatus = 'F'
-  AND l1.l_receiptdate > l1.l_commitdate
-  AND exists(
-    SELECT *
-    FROM
-      lineitem l2
-    WHERE
-      l2.l_orderkey = l1.l_orderkey
-      AND l2.l_suppkey <> l1.l_suppkey
-  )
-  AND NOT exists(
-    SELECT *
-    FROM
-      lineitem l3
-    WHERE
-      l3.l_orderkey = l1.l_orderkey
-      AND l3.l_suppkey <> l1.l_suppkey
-      AND l3.l_receiptdate > l3.l_commitdate
-  )
-  AND s_nationkey = n_nationkey
-  AND n_name = 'SAUDI ARABIA'
-GROUP BY
-  s_name
-ORDER BY
-  numwait DESC,
-  s_name
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q22.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q22.sql
deleted file mode 100644
index fc7f1b417d..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/pipeline_q22.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: orders,customer
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  cntrycode,
-  count(*)       AS numcust,
-  sum(c_acctbal) AS totacctbal
-FROM (
-       SELECT
-         substr(c_phone, 1, 2) AS cntrycode,
-         c_acctbal
-       FROM
-         customer
-       WHERE
-         substr(c_phone, 1, 2) IN
-         ('13', '31', '23', '29', '30', '18', '17')
-         AND c_acctbal > (
-           SELECT avg(c_acctbal)
-           FROM
-             customer
-           WHERE
-             c_acctbal > 0.00
-             AND substr(c_phone, 1, 2) IN
-                 ('13', '31', '23', '29', '30', '18', '17')
-         )
-         AND NOT exists(
-           SELECT *
-           FROM
-             orders
-           WHERE
-             o_custkey = c_custkey
-         )
-     ) AS custsale
-GROUP BY
-  cntrycode
-ORDER BY
-  cntrycode
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q01.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q01.sql
deleted file mode 100644
index c84c5690f5..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q01.sql
+++ /dev/null
@@ -1,22 +0,0 @@
--- tables: lineitem
-SELECT
-  l_returnflag,
-  l_linestatus,
-  sum(l_quantity)                                       AS sum_qty,
-  sum(l_extendedprice)                                  AS sum_base_price,
-  sum(l_extendedprice * (1 - l_discount))               AS sum_disc_price,
-  sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge,
-  avg(l_quantity)                                       AS avg_qty,
-  avg(l_extendedprice)                                  AS avg_price,
-  avg(l_discount)                                       AS avg_disc,
-  count(*)                                              AS count_order
-FROM
-  lineitem
-WHERE
-  l_shipdate <= DATEV2 '1998-12-01' - INTERVAL '90' DAY
-GROUP BY
-l_returnflag,
-l_linestatus
-ORDER BY
-l_returnflag,
-l_linestatus
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q02.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q02.sql
deleted file mode 100644
index 8c60ec1929..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q02.sql
+++ /dev/null
@@ -1,42 +0,0 @@
--- tables: part,supplier,partsupp,nation,region
-SELECT
-  s_acctbal,
-  s_name,
-  n_name,
-  p_partkey,
-  p_mfgr,
-  s_address,
-  s_phone,
-  s_comment
-FROM
-  part,
-  supplier,
-  partsupp,
-  nation,
-  region
-WHERE
-  p_partkey = ps_partkey
-  AND s_suppkey = ps_suppkey
-  AND p_size = 15
-  AND p_type LIKE '%BRASS'
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'EUROPE'
-  AND ps_supplycost = (
-    SELECT min(ps_supplycost)
-    FROM
-      partsupp, supplier,
-      nation, region
-    WHERE
-      p_partkey = ps_partkey
-      AND s_suppkey = ps_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_regionkey = r_regionkey
-      AND r_name = 'EUROPE'
-  )
-ORDER BY
-  s_acctbal DESC,
-  n_name,
-  s_name,
-  p_partkey
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q03.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q03.sql
deleted file mode 100644
index 48aa067068..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q03.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT
-  l_orderkey,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  o_orderdate,
-  o_shippriority
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  c_mktsegment = 'BUILDING'
-  AND c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate < DATEV2 '1995-03-15'
-  AND l_shipdate > DATEV2 '1995-03-15'
-GROUP BY
-  l_orderkey,
-  o_orderdate,
-  o_shippriority
-ORDER BY
-  revenue DESC,
-  o_orderdate
-LIMIT 10
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q04.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q04.sql
deleted file mode 100644
index e271215677..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q04.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: orders,lineitem
-SELECT
-  o_orderpriority,
-  count(*) AS order_count
-FROM orders
-WHERE
-  o_orderdate >= DATEV2 '1993-07-01'
-  AND o_orderdate < DATEV2 '1993-07-01' + INTERVAL '3' MONTH
-AND EXISTS (
-SELECT *
-FROM lineitem
-WHERE
-l_orderkey = o_orderkey
-AND l_commitdate < l_receiptdate
-)
-GROUP BY
-o_orderpriority
-ORDER BY
-o_orderpriority
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q05.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q05.sql
deleted file mode 100644
index 97531e173f..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q05.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- tables: customer,orders,lineitem,supplier,nation,region
-SELECT
-  n_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  customer,
-  orders,
-  lineitem,
-  supplier,
-  nation,
-  region
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND l_suppkey = s_suppkey
-  AND c_nationkey = s_nationkey
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'ASIA'
-  AND o_orderdate >= DATEV2 '1994-01-01'
-  AND o_orderdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-n_name
-ORDER BY
-revenue DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q06.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q06.sql
deleted file mode 100644
index ade16288a1..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q06.sql
+++ /dev/null
@@ -1,11 +0,0 @@
--- tables: lineitem
-
-SELECT sum(l_extendedprice * l_discount) AS revenue
-FROM
-  lineitem
-WHERE
-  l_shipdate >= DATEV2 '1994-01-01'
-  AND l_shipdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-AND l_discount BETWEEN 0.06 - 0.01 AND .06 + 0.01
-AND l_quantity < 24
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q07.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q07.sql
deleted file mode 100644
index 93c90deab4..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q07.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,customer,nation
-SELECT
-  supp_nation,
-  cust_nation,
-  l_year,
-  sum(volume) AS revenue
-FROM (
-       SELECT
-         n1.n_name                          AS supp_nation,
-         n2.n_name                          AS cust_nation,
-         extract(YEAR FROM l_shipdate)      AS l_year,
-         l_extendedprice * (1 - l_discount) AS volume
-       FROM
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2
-       WHERE
-         s_suppkey = l_suppkey
-         AND o_orderkey = l_orderkey
-         AND c_custkey = o_custkey
-         AND s_nationkey = n1.n_nationkey
-         AND c_nationkey = n2.n_nationkey
-         AND (
-           (n1.n_name = 'FRANCE' AND n2.n_name = 'GERMANY')
-           OR (n1.n_name = 'GERMANY' AND n2.n_name = 'FRANCE')
-         )
-         AND l_shipdate BETWEEN DATEV2 '1995-01-01' AND DATEV2 '1996-12-31'
-     ) AS shipping
-GROUP BY
-  supp_nation,
-  cust_nation,
-  l_year
-ORDER BY
-  supp_nation,
-  cust_nation,
-  l_year
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q08.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q08.sql
deleted file mode 100644
index a8e34eb24e..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q08.sql
+++ /dev/null
@@ -1,38 +0,0 @@
--- tables: part,supplier,lineitem,orders,customer,nation,region
-SELECT
-  o_year,
-  sum(CASE
-      WHEN nation = 'BRAZIL'
-        THEN volume
-      ELSE 0
-      END) / sum(volume) AS mkt_share
-FROM (
-       SELECT
-         extract(YEAR FROM o_orderdate)     AS o_year,
-         l_extendedprice * (1 - l_discount) AS volume,
-         n2.n_name                          AS nation
-       FROM
-         part,
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2,
-         region
-       WHERE
-         p_partkey = l_partkey
-         AND s_suppkey = l_suppkey
-         AND l_orderkey = o_orderkey
-         AND o_custkey = c_custkey
-         AND c_nationkey = n1.n_nationkey
-         AND n1.n_regionkey = r_regionkey
-         AND r_name = 'AMERICA'
-         AND s_nationkey = n2.n_nationkey
-         AND o_orderdate BETWEEN DATEV2 '1995-01-01' AND DATEV2 '1996-12-31'
-         AND p_type = 'ECONOMY ANODIZED STEEL'
-     ) AS all_nations
-GROUP BY
-  o_year
-ORDER BY
-  o_year
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q09.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q09.sql
deleted file mode 100644
index 9236941881..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q09.sql
+++ /dev/null
@@ -1,32 +0,0 @@
--- tables: part,supplier,lineitem,partsupp,orders,nation
-SELECT
-  nation,
-  o_year,
-  sum(amount) AS sum_profit
-FROM (
-       SELECT
-         n_name                                                          AS nation,
-         extract(YEAR FROM o_orderdate)                                  AS o_year,
-         l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount
-       FROM
-         part,
-         supplier,
-         lineitem,
-         partsupp,
-         orders,
-         nation
-       WHERE
-         s_suppkey = l_suppkey
-         AND ps_suppkey = l_suppkey
-         AND ps_partkey = l_partkey
-         AND p_partkey = l_partkey
-         AND o_orderkey = l_orderkey
-         AND s_nationkey = n_nationkey
-         AND p_name LIKE '%green%'
-     ) AS profit
-GROUP BY
-  nation,
-  o_year
-ORDER BY
-  nation,
-  o_year DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q10.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q10.sql
deleted file mode 100644
index be55ce968d..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q10.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: customer,orders,lineitem,nation
-SELECT
-  c_custkey,
-  c_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  c_acctbal,
-  n_name,
-  c_address,
-  c_phone,
-  c_comment
-FROM
-  customer,
-  orders,
-  lineitem,
-  nation
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate >= DATEV2 '1993-10-01'
-  AND o_orderdate < DATEV2 '1993-10-01' + INTERVAL '3' MONTH
-  AND l_returnflag = 'R'
-  AND c_nationkey = n_nationkey
-GROUP BY
-  c_custkey,
-  c_name,
-  c_acctbal,
-  c_phone,
-  n_name,
-  c_address,
-  c_comment
-ORDER BY
-  revenue DESC
-LIMIT 20
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q11.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q11.sql
deleted file mode 100644
index 18856461ea..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q11.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- tables: partsupp,supplier,nation
-SELECT
-  ps_partkey,
-  sum(ps_supplycost * ps_availqty) AS value
-FROM
-  partsupp,
-  supplier,
-  nation
-WHERE
-  ps_suppkey = s_suppkey
-  AND s_nationkey = n_nationkey
-  AND n_name = 'GERMANY'
-GROUP BY
-  ps_partkey
-HAVING
-  sum(ps_supplycost * ps_availqty) > (
-    SELECT sum(ps_supplycost * ps_availqty) * 0.0001
-    FROM
-      partsupp,
-      supplier,
-      nation
-    WHERE
-      ps_suppkey = s_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_name = 'GERMANY'
-  )
-ORDER BY
-  value DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q12.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q12.sql
deleted file mode 100644
index 47a704e921..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q12.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- tables: orders,lineitem
-SELECT
-  l_shipmode,
-  sum(CASE
-      WHEN o_orderpriority = '1-URGENT'
-           OR o_orderpriority = '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS high_line_count,
-  sum(CASE
-      WHEN o_orderpriority <> '1-URGENT'
-           AND o_orderpriority <> '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS low_line_count
-FROM
-  orders,
-  lineitem
-WHERE
-  o_orderkey = l_orderkey
-  AND l_shipmode IN ('MAIL', 'SHIP')
-  AND l_commitdate < l_receiptdate
-  AND l_shipdate < l_commitdate
-  AND l_receiptdate >= DATEV2 '1994-01-01'
-  AND l_receiptdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-  l_shipmode
-ORDER BY
-  l_shipmode
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q13.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q13.sql
deleted file mode 100644
index f7d69a955f..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q13.sql
+++ /dev/null
@@ -1,21 +0,0 @@
--- tables: customer
-SELECT
-  c_count,
-  count(*) AS custdist
-FROM (
-       SELECT
-         c_custkey,
-         count(o_orderkey) AS c_count
-       FROM
-         customer
-         LEFT OUTER JOIN orders ON
-                                  c_custkey = o_custkey
-                                  AND o_comment NOT LIKE '%special%requests%'
-       GROUP BY
-         c_custkey
-     ) AS c_orders
-GROUP BY
-  c_count
-ORDER BY
-  custdist DESC,
-  c_count DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q14.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q14.sql
deleted file mode 100644
index 6673d44e16..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q14.sql
+++ /dev/null
@@ -1,13 +0,0 @@
--- tables: lineitem,part
-SELECT 100.00 * sum(CASE
-                    WHEN p_type LIKE 'PROMO%'
-                      THEN l_extendedprice * (1 - l_discount)
-                    ELSE 0
-                    END) / sum(l_extendedprice * (1 - l_discount)) AS promo_revenue
-FROM
-  lineitem,
-  part
-WHERE
-  l_partkey = p_partkey
-  AND l_shipdate >= DATEV2 '1995-09-01'
-  AND l_shipdate < DATEV2 '1995-09-01' + INTERVAL '1' MONTH
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q15.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q15.sql
deleted file mode 100644
index 74e2c08e09..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q15.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: lineitem,supplier
-SELECT
-  s_suppkey,
-  s_name,
-  s_address,
-  s_phone,
-  total_revenue
-FROM
-  supplier,
-  revenue1
-WHERE
-  s_suppkey = supplier_no
-  AND total_revenue = (
-    SELECT max(total_revenue)
-    FROM
-      revenue1
-  )
-ORDER BY
-  s_suppkey;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q16.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q16.sql
deleted file mode 100644
index 277777cb13..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q16.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- tables: partsupp,part,supplier
-SELECT
-  p_brand,
-  p_type,
-  p_size,
-  count(DISTINCT ps_suppkey) AS supplier_cnt
-FROM
-  partsupp,
-  part
-WHERE
-  p_partkey = ps_partkey
-  AND p_brand <> 'Brand#45'
-  AND p_type NOT LIKE 'MEDIUM POLISHED%'
-  AND p_size IN (49, 14, 23, 45, 19, 3, 36, 9)
-  AND ps_suppkey NOT IN (
-    SELECT s_suppkey
-    FROM
-      supplier
-    WHERE
-      s_comment LIKE '%Customer%Complaints%'
-  )
-GROUP BY
-  p_brand,
-  p_type,
-  p_size
-ORDER BY
-  supplier_cnt DESC,
-  p_brand,
-  p_type,
-  p_size
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q17.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q17.sql
deleted file mode 100644
index c37f2ceedb..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q17.sql
+++ /dev/null
@@ -1,16 +0,0 @@
--- tables: lineitem,part
-SELECT sum(l_extendedprice) / 7.0 AS avg_yearly
-FROM
-  lineitem,
-  part
-WHERE
-  p_partkey = l_partkey
-  AND p_brand = 'Brand#23'
-  AND p_container = 'MED BOX'
-  AND l_quantity < (
-    SELECT 0.2 * avg(l_quantity)
-    FROM
-      lineitem
-    WHERE
-      l_partkey = p_partkey
-  )
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q18.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q18.sql
deleted file mode 100644
index 98db1d6046..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q18.sql
+++ /dev/null
@@ -1,34 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice,
-  sum(l_quantity)
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  o_orderkey IN (
-    SELECT l_orderkey
-    FROM
-      lineitem
-    GROUP BY
-      l_orderkey
-    HAVING
-      sum(l_quantity) > 300
-  )
-  AND c_custkey = o_custkey
-  AND o_orderkey = l_orderkey
-GROUP BY
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice
-ORDER BY
-  o_totalprice DESC,
-  o_orderdate
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q19.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q19.sql
deleted file mode 100644
index c4e107cd68..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q19.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: lineitem,part
-SELECT sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  lineitem,
-  part
-WHERE
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#12'
-    AND p_container IN ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
-    AND l_quantity >= 1 AND l_quantity <= 1 + 10
-    AND p_size BETWEEN 1 AND 5
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#23'
-    AND p_container IN ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
-    AND l_quantity >= 10 AND l_quantity <= 10 + 10
-    AND p_size BETWEEN 1 AND 10
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#34'
-    AND p_container IN ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
-    AND l_quantity >= 20 AND l_quantity <= 20 + 10
-    AND p_size BETWEEN 1 AND 15
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q20.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q20.sql
deleted file mode 100644
index ff8bb924d3..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q20.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: supplier,nation,partsupp,lineitem,part
-SELECT
-  s_name,
-  s_address
-FROM
-  supplier, nation
-WHERE
-  s_suppkey IN (
-    SELECT ps_suppkey
-    FROM
-      partsupp
-    WHERE
-      ps_partkey IN (
-        SELECT p_partkey
-        FROM
-          part
-        WHERE
-          p_name LIKE 'forest%'
-      )
-      AND ps_availqty > (
-        SELECT 0.5 * sum(l_quantity)
-        FROM
-          lineitem
-        WHERE
-          l_partkey = ps_partkey
-          AND l_suppkey = ps_suppkey
-          AND l_shipdate >= datev2('1994-01-01')
-          AND l_shipdate < datev2('1994-01-01') + interval '1' YEAR
-)
-)
-AND s_nationkey = n_nationkey
-AND n_name = 'CANADA'
-ORDER BY s_name
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q21.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q21.sql
deleted file mode 100644
index 961f2749dd..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q21.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,nation
-SELECT
-  s_name,
-  count(*) AS numwait
-FROM
-  supplier,
-  lineitem l1,
-  orders,
-  nation
-WHERE
-  s_suppkey = l1.l_suppkey
-  AND o_orderkey = l1.l_orderkey
-  AND o_orderstatus = 'F'
-  AND l1.l_receiptdate > l1.l_commitdate
-  AND exists(
-    SELECT *
-    FROM
-      lineitem l2
-    WHERE
-      l2.l_orderkey = l1.l_orderkey
-      AND l2.l_suppkey <> l1.l_suppkey
-  )
-  AND NOT exists(
-    SELECT *
-    FROM
-      lineitem l3
-    WHERE
-      l3.l_orderkey = l1.l_orderkey
-      AND l3.l_suppkey <> l1.l_suppkey
-      AND l3.l_receiptdate > l3.l_commitdate
-  )
-  AND s_nationkey = n_nationkey
-  AND n_name = 'SAUDI ARABIA'
-GROUP BY
-  s_name
-ORDER BY
-  numwait DESC,
-  s_name
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q22.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q22.sql
deleted file mode 100644
index 01da180458..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/sql/q22.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: orders,customer
-SELECT
-  cntrycode,
-  count(*)       AS numcust,
-  sum(c_acctbal) AS totacctbal
-FROM (
-       SELECT
-         substr(c_phone, 1, 2) AS cntrycode,
-         c_acctbal
-       FROM
-         customer
-       WHERE
-         substr(c_phone, 1, 2) IN
-         ('13', '31', '23', '29', '30', '18', '17')
-         AND c_acctbal > (
-           SELECT avg(c_acctbal)
-           FROM
-             customer
-           WHERE
-             c_acctbal > 0.00
-             AND substr(c_phone, 1, 2) IN
-                 ('13', '31', '23', '29', '30', '18', '17')
-         )
-         AND NOT exists(
-           SELECT *
-           FROM
-             orders
-           WHERE
-             o_custkey = c_custkey
-         )
-     ) AS custsale
-GROUP BY
-  cntrycode
-ORDER BY
-  cntrycode
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/create_table.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/create_table.sql
deleted file mode 100644
index 324b167fc8..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/create_table.sql
+++ /dev/null
@@ -1,10 +0,0 @@
-CREATE TABLE IF NOT EXISTS gavin_test (
-    id bigint,
-    name char(16),
-    score bigint
-)
-DUPLICATE KEY(id, name)
-DISTRIBUTED BY HASH(id) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/customer.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/customer.sql
deleted file mode 100644
index 00b1b98d48..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/customer.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-CREATE TABLE IF NOT EXISTS customer (
-  C_CUSTKEY     INTEGER NOT NULL,
-  C_NAME        VARCHAR(25) NOT NULL,
-  C_ADDRESS     VARCHAR(40) NOT NULL,
-  C_NATIONKEY   INTEGER NOT NULL,
-  C_PHONE       CHAR(15) NOT NULL,
-  C_ACCTBAL     DECIMAL(15,2)   NOT NULL,
-  C_MKTSEGMENT  CHAR(10) NOT NULL,
-  C_COMMENT     VARCHAR(117) NOT NULL
-)
-DUPLICATE KEY(C_CUSTKEY, C_NAME)
-DISTRIBUTED BY HASH(C_CUSTKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/customer_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/customer_delete.sql
deleted file mode 100644
index a214fe920c..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/customer_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE FROM customer where C_CUSTKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/lineitem.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/lineitem.sql
deleted file mode 100644
index 2b4cb77143..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/lineitem.sql
+++ /dev/null
@@ -1,24 +0,0 @@
-CREATE TABLE IF NOT EXISTS lineitem (
-  L_ORDERKEY    INTEGER NOT NULL,
-  L_PARTKEY     INTEGER NOT NULL,
-  L_SUPPKEY     INTEGER NOT NULL,
-  L_LINENUMBER  INTEGER NOT NULL,
-  L_QUANTITY    DECIMAL(15,2) NOT NULL,
-  L_EXTENDEDPRICE  DECIMAL(15,2) NOT NULL,
-  L_DISCOUNT    DECIMAL(15,2) NOT NULL,
-  L_TAX         DECIMAL(15,2) NOT NULL,
-  L_RETURNFLAG  CHAR(1) NOT NULL,
-  L_LINESTATUS  CHAR(1) NOT NULL,
-  L_SHIPDATE    DATE NOT NULL,
-  L_COMMITDATE  DATE NOT NULL,
-  L_RECEIPTDATE DATE NOT NULL,
-  L_SHIPINSTRUCT CHAR(25) NOT NULL,
-  L_SHIPMODE     CHAR(10) NOT NULL,
-  L_COMMENT      VARCHAR(44) NOT NULL
-)
-DUPLICATE KEY(L_ORDERKEY, L_PARTKEY, L_SUPPKEY, L_LINENUMBER)
-DISTRIBUTED BY HASH(L_ORDERKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/lineitem_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/lineitem_delete.sql
deleted file mode 100644
index 6dbbe49ed0..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/lineitem_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE from lineitem where L_ORDERKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/nation.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/nation.sql
deleted file mode 100644
index 3eccc0dc97..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/nation.sql
+++ /dev/null
@@ -1,12 +0,0 @@
-CREATE TABLE IF NOT EXISTS nation  (
-  N_NATIONKEY  INTEGER NOT NULL,
-  N_NAME       CHAR(25) NOT NULL,
-  N_REGIONKEY  INTEGER NOT NULL,
-  N_COMMENT    VARCHAR(152)
-)
-DUPLICATE KEY(N_NATIONKEY, N_NAME)
-DISTRIBUTED BY HASH(N_NATIONKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/nation_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/nation_delete.sql
deleted file mode 100644
index 9fb7c085a6..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/nation_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE from nation where N_NATIONKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/orders.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/orders.sql
deleted file mode 100644
index caeaa34150..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/orders.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-CREATE TABLE IF NOT EXISTS orders  (
-  O_ORDERKEY       INTEGER NOT NULL,
-  O_CUSTKEY        INTEGER NOT NULL,
-  O_ORDERSTATUS    CHAR(1) NOT NULL,
-  O_TOTALPRICE     DECIMAL(15,2) NOT NULL,
-  O_ORDERDATE      DATE NOT NULL,
-  O_ORDERPRIORITY  CHAR(15) NOT NULL,  
-  O_CLERK          CHAR(15) NOT NULL, 
-  O_SHIPPRIORITY   INTEGER NOT NULL,
-  O_COMMENT        VARCHAR(79) NOT NULL
-)
-DUPLICATE KEY(O_ORDERKEY, O_CUSTKEY)
-DISTRIBUTED BY HASH(O_ORDERKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/orders_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/orders_delete.sql
deleted file mode 100644
index 5199d8f296..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/orders_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from orders where O_ORDERKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/part.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/part.sql
deleted file mode 100644
index 994b6e66d5..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/part.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-CREATE TABLE IF NOT EXISTS part (
-  P_PARTKEY     INTEGER NOT NULL,
-  P_NAME        VARCHAR(55) NOT NULL,
-  P_MFGR        CHAR(25) NOT NULL,
-  P_BRAND       CHAR(10) NOT NULL,
-  P_TYPE        VARCHAR(25) NOT NULL,
-  P_SIZE        INTEGER NOT NULL,
-  P_CONTAINER   CHAR(10) NOT NULL,
-  P_RETAILPRICE DECIMAL(15,2) NOT NULL,
-  P_COMMENT     VARCHAR(23) NOT NULL 
-)
-DUPLICATE KEY(P_PARTKEY, P_NAME)
-DISTRIBUTED BY HASH(P_PARTKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/part_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/part_delete.sql
deleted file mode 100644
index ee1a2e5104..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/part_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from part where P_PARTKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/partsupp.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/partsupp.sql
deleted file mode 100644
index be186a29db..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/partsupp.sql
+++ /dev/null
@@ -1,13 +0,0 @@
-CREATE TABLE IF NOT EXISTS partsupp (
-  PS_PARTKEY     INTEGER NOT NULL,
-  PS_SUPPKEY     INTEGER NOT NULL,
-  PS_AVAILQTY    INTEGER NOT NULL,
-  PS_SUPPLYCOST  DECIMAL(15,2)  NOT NULL,
-  PS_COMMENT     VARCHAR(199) NOT NULL 
-)
-DUPLICATE KEY(PS_PARTKEY, PS_SUPPKEY)
-DISTRIBUTED BY HASH(PS_PARTKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/partsupp_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/partsupp_delete.sql
deleted file mode 100644
index 067cff3a6f..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/partsupp_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from partsupp where PS_PARTKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/region.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/region.sql
deleted file mode 100644
index fbe34c05c6..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/region.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-CREATE TABLE IF NOT EXISTS region (
-  R_REGIONKEY  INTEGER NOT NULL,
-  R_NAME       CHAR(25) NOT NULL,
-  R_COMMENT    VARCHAR(152)
-)
-DUPLICATE KEY(R_REGIONKEY, R_NAME)
-DISTRIBUTED BY HASH(R_REGIONKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/region_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/region_delete.sql
deleted file mode 100644
index 4945d5105a..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/region_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from region where R_REGIONKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/revenue1.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/revenue1.sql
deleted file mode 100644
index a12a60a284..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/revenue1.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-CREATE VIEW IF NOT EXISTS revenue1 AS
-  SELECT
-    l_suppkey AS supplier_no,
-    sum(l_extendedprice * (1 - l_discount)) AS total_revenue
-  FROM
-    lineitem
-  WHERE
-    l_shipdate >= DATE '1996-01-01'
-    AND l_shipdate < DATE '1996-01-01' + INTERVAL '3' MONTH
-GROUP BY
-  l_suppkey;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/revenue1_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/revenue1_delete.sql
deleted file mode 100644
index c2ee91a38a..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/revenue1_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-drop view IF EXISTS revenue1;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/supplier.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/supplier.sql
deleted file mode 100644
index 7214eaebd1..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/supplier.sql
+++ /dev/null
@@ -1,14 +0,0 @@
-CREATE TABLE IF NOT EXISTS supplier (
-  S_SUPPKEY     INTEGER NOT NULL,
-  S_NAME        CHAR(25) NOT NULL,
-  S_ADDRESS     VARCHAR(40) NOT NULL,
-  S_NATIONKEY   INTEGER NOT NULL,
-  S_PHONE       CHAR(15) NOT NULL,
-  S_ACCTBAL     DECIMAL(15,2) NOT NULL,
-  S_COMMENT     VARCHAR(101) NOT NULL
-)
-DUPLICATE KEY(S_SUPPKEY, S_NAME)
-DISTRIBUTED BY HASH(S_SUPPKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/supplier_delete.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/supplier_delete.sql
deleted file mode 100644
index d8327a8f85..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/ddl/supplier_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from supplier where S_SUPPKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/load.groovy b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/load.groovy
deleted file mode 100644
index 9b8d54a4da..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/load.groovy
+++ /dev/null
@@ -1,81 +0,0 @@
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-
-// Most of the cases are copied from https://github.com/trinodb/trino/tree/master
-// /testing/trino-product-tests/src/main/resources/sql-tests/testcases
-// and modified by Doris.
-
-// syntax error:
-// q06 q13 q15
-// Test 23 suites, failed 3 suites
-
-// Note: To filter out tables from sql files, use the following one-liner comamnd
-// sed -nr 's/.*tables: (.*)$/\1/gp' /path/to/*.sql | sed -nr 's/,/\n/gp' | sort | uniq
-suite("load") {
-    def tables = [customer: ["c_custkey, c_name, c_address, c_nationkey, c_phone, c_acctbal, c_mktsegment, c_comment,temp"],
-                  lineitem: ["l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag,l_linestatus, l_shipdate,l_commitdate,l_receiptdate,l_shipinstruct,l_shipmode,l_comment,temp"],
-                  nation  : ["n_nationkey, n_name, n_regionkey, n_comment, temp"],
-                  orders  : ["o_orderkey, o_custkey, o_orderstatus, o_totalprice, o_orderdate, o_orderpriority, o_clerk, o_shippriority, o_comment, temp"],
-                  part    : ["p_partkey, p_name, p_mfgr, p_brand, p_type, p_size, p_container, p_retailprice, p_comment, temp"],
-                  partsupp: ["ps_partkey,ps_suppkey,ps_availqty,ps_supplycost,ps_comment,temp"],
-                  region  : ["r_regionkey, r_name, r_comment,temp"],
-                  supplier: ["s_suppkey, s_name, s_address, s_nationkey, s_phone, s_acctbal, s_comment,temp"]]
-
-    tables.forEach { tableName, columns ->
-        sql new File("""${context.file.parent}/ddl/${tableName}.sql""").text
-        sql new File("""${context.file.parent}/ddl/${tableName}_delete.sql""").text
-        streamLoad {
-            // a default db 'regression_test' is specified in
-            // ${DORIS_HOME}/conf/regression-conf.groovy
-            table "${tableName}"
-
-            // default label is UUID:
-            // set 'label' UUID.randomUUID().toString()
-
-            // default column_separator is specify in doris fe config, usually is '\t'.
-            // this line change to ','
-            set 'column_separator', '|'
-            set 'compress_type', 'GZ'
-            set 'columns', "${columns[0]}"
-
-            // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
-            // also, you can stream load a http stream, e.g. http://xxx/some.csv
-            file """${getS3Url()}/regression/tpch/sf0.1/${tableName}.tbl.gz"""
-
-            time 10000 // limit inflight 10s
-
-            // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
-
-            // if declared a check callback, the default check condition will ignore.
-            // So you must check all condition
-            check { result, exception, startTime, endTime ->
-                if (exception != null) {
-                    throw exception
-                }
-                log.info("Stream load result: ${result}".toString())
-                def json = parseJson(result)
-                assertEquals("success", json.Status.toLowerCase())
-                assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
-                assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
-            }
-        }
-    }
-
-    def table = "revenue1"
-    sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
-    sql new File("""${context.file.parent}/ddl/${table}.sql""").text
-}
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q01.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q01.sql
deleted file mode 100644
index 7b20cc9feb..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q01.sql
+++ /dev/null
@@ -1,22 +0,0 @@
--- tables: lineitem
-SELECT
-  l_returnflag,
-  l_linestatus,
-  sum(l_quantity)                                       AS sum_qty,
-  sum(l_extendedprice)                                  AS sum_base_price,
-  sum(l_extendedprice * (1 - l_discount))               AS sum_disc_price,
-  sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge,
-  avg(l_quantity)                                       AS avg_qty,
-  avg(l_extendedprice)                                  AS avg_price,
-  avg(l_discount)                                       AS avg_disc,
-  count(*)                                              AS count_order
-FROM
-  lineitem
-WHERE
-  l_shipdate <= DATE '1998-12-01' - INTERVAL '90' DAY
-GROUP BY
-l_returnflag,
-l_linestatus
-ORDER BY
-l_returnflag,
-l_linestatus
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q02.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q02.sql
deleted file mode 100644
index 8c60ec1929..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q02.sql
+++ /dev/null
@@ -1,42 +0,0 @@
--- tables: part,supplier,partsupp,nation,region
-SELECT
-  s_acctbal,
-  s_name,
-  n_name,
-  p_partkey,
-  p_mfgr,
-  s_address,
-  s_phone,
-  s_comment
-FROM
-  part,
-  supplier,
-  partsupp,
-  nation,
-  region
-WHERE
-  p_partkey = ps_partkey
-  AND s_suppkey = ps_suppkey
-  AND p_size = 15
-  AND p_type LIKE '%BRASS'
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'EUROPE'
-  AND ps_supplycost = (
-    SELECT min(ps_supplycost)
-    FROM
-      partsupp, supplier,
-      nation, region
-    WHERE
-      p_partkey = ps_partkey
-      AND s_suppkey = ps_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_regionkey = r_regionkey
-      AND r_name = 'EUROPE'
-  )
-ORDER BY
-  s_acctbal DESC,
-  n_name,
-  s_name,
-  p_partkey
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q03.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q03.sql
deleted file mode 100644
index e689d3cbb0..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q03.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT
-  l_orderkey,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  o_orderdate,
-  o_shippriority
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  c_mktsegment = 'BUILDING'
-  AND c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate < DATE '1995-03-15'
-  AND l_shipdate > DATE '1995-03-15'
-GROUP BY
-  l_orderkey,
-  o_orderdate,
-  o_shippriority
-ORDER BY
-  revenue DESC,
-  o_orderdate
-LIMIT 10
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q04.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q04.sql
deleted file mode 100644
index c4c7925eb7..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q04.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: orders,lineitem
-SELECT
-  o_orderpriority,
-  count(*) AS order_count
-FROM orders
-WHERE
-  o_orderdate >= DATE '1993-07-01'
-  AND o_orderdate < DATE '1993-07-01' + INTERVAL '3' MONTH
-AND EXISTS (
-SELECT *
-FROM lineitem
-WHERE
-l_orderkey = o_orderkey
-AND l_commitdate < l_receiptdate
-)
-GROUP BY
-o_orderpriority
-ORDER BY
-o_orderpriority
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q05.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q05.sql
deleted file mode 100644
index 059725c12a..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q05.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- tables: customer,orders,lineitem,supplier,nation,region
-SELECT
-  n_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  customer,
-  orders,
-  lineitem,
-  supplier,
-  nation,
-  region
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND l_suppkey = s_suppkey
-  AND c_nationkey = s_nationkey
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'ASIA'
-  AND o_orderdate >= DATE '1994-01-01'
-  AND o_orderdate < DATE '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-n_name
-ORDER BY
-revenue DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q06.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q06.sql
deleted file mode 100644
index e81a352c24..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q06.sql
+++ /dev/null
@@ -1,11 +0,0 @@
--- tables: lineitem
-
-SELECT sum(l_extendedprice * l_discount) AS revenue
-FROM
-  lineitem
-WHERE
-  l_shipdate >= DATE '1994-01-01'
-  AND l_shipdate < DATE '1994-01-01' + INTERVAL '1' YEAR
-AND l_discount BETWEEN 0.06 - 0.01 AND .06 + 0.01
-AND l_quantity < 24
-
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q07.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q07.sql
deleted file mode 100644
index edeaf35f7f..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q07.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,customer,nation
-SELECT
-  supp_nation,
-  cust_nation,
-  l_year,
-  sum(volume) AS revenue
-FROM (
-       SELECT
-         n1.n_name                          AS supp_nation,
-         n2.n_name                          AS cust_nation,
-         extract(YEAR FROM l_shipdate)      AS l_year,
-         l_extendedprice * (1 - l_discount) AS volume
-       FROM
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2
-       WHERE
-         s_suppkey = l_suppkey
-         AND o_orderkey = l_orderkey
-         AND c_custkey = o_custkey
-         AND s_nationkey = n1.n_nationkey
-         AND c_nationkey = n2.n_nationkey
-         AND (
-           (n1.n_name = 'FRANCE' AND n2.n_name = 'GERMANY')
-           OR (n1.n_name = 'GERMANY' AND n2.n_name = 'FRANCE')
-         )
-         AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31'
-     ) AS shipping
-GROUP BY
-  supp_nation,
-  cust_nation,
-  l_year
-ORDER BY
-  supp_nation,
-  cust_nation,
-  l_year
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q08.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q08.sql
deleted file mode 100644
index 2657711d79..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q08.sql
+++ /dev/null
@@ -1,38 +0,0 @@
--- tables: part,supplier,lineitem,orders,customer,nation,region
-SELECT
-  o_year,
-  sum(CASE
-      WHEN nation = 'BRAZIL'
-        THEN volume
-      ELSE 0
-      END) / sum(volume) AS mkt_share
-FROM (
-       SELECT
-         extract(YEAR FROM o_orderdate)     AS o_year,
-         l_extendedprice * (1 - l_discount) AS volume,
-         n2.n_name                          AS nation
-       FROM
-         part,
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2,
-         region
-       WHERE
-         p_partkey = l_partkey
-         AND s_suppkey = l_suppkey
-         AND l_orderkey = o_orderkey
-         AND o_custkey = c_custkey
-         AND c_nationkey = n1.n_nationkey
-         AND n1.n_regionkey = r_regionkey
-         AND r_name = 'AMERICA'
-         AND s_nationkey = n2.n_nationkey
-         AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31'
-         AND p_type = 'ECONOMY ANODIZED STEEL'
-     ) AS all_nations
-GROUP BY
-  o_year
-ORDER BY
-  o_year
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q09.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q09.sql
deleted file mode 100644
index 9236941881..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q09.sql
+++ /dev/null
@@ -1,32 +0,0 @@
--- tables: part,supplier,lineitem,partsupp,orders,nation
-SELECT
-  nation,
-  o_year,
-  sum(amount) AS sum_profit
-FROM (
-       SELECT
-         n_name                                                          AS nation,
-         extract(YEAR FROM o_orderdate)                                  AS o_year,
-         l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount
-       FROM
-         part,
-         supplier,
-         lineitem,
-         partsupp,
-         orders,
-         nation
-       WHERE
-         s_suppkey = l_suppkey
-         AND ps_suppkey = l_suppkey
-         AND ps_partkey = l_partkey
-         AND p_partkey = l_partkey
-         AND o_orderkey = l_orderkey
-         AND s_nationkey = n_nationkey
-         AND p_name LIKE '%green%'
-     ) AS profit
-GROUP BY
-  nation,
-  o_year
-ORDER BY
-  nation,
-  o_year DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q10.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q10.sql
deleted file mode 100644
index 965bc17b3c..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q10.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: customer,orders,lineitem,nation
-SELECT
-  c_custkey,
-  c_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  c_acctbal,
-  n_name,
-  c_address,
-  c_phone,
-  c_comment
-FROM
-  customer,
-  orders,
-  lineitem,
-  nation
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate >= DATE '1993-10-01'
-  AND o_orderdate < DATE '1993-10-01' + INTERVAL '3' MONTH
-  AND l_returnflag = 'R'
-  AND c_nationkey = n_nationkey
-GROUP BY
-  c_custkey,
-  c_name,
-  c_acctbal,
-  c_phone,
-  n_name,
-  c_address,
-  c_comment
-ORDER BY
-  revenue DESC
-LIMIT 20
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q11.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q11.sql
deleted file mode 100644
index 18856461ea..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q11.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- tables: partsupp,supplier,nation
-SELECT
-  ps_partkey,
-  sum(ps_supplycost * ps_availqty) AS value
-FROM
-  partsupp,
-  supplier,
-  nation
-WHERE
-  ps_suppkey = s_suppkey
-  AND s_nationkey = n_nationkey
-  AND n_name = 'GERMANY'
-GROUP BY
-  ps_partkey
-HAVING
-  sum(ps_supplycost * ps_availqty) > (
-    SELECT sum(ps_supplycost * ps_availqty) * 0.0001
-    FROM
-      partsupp,
-      supplier,
-      nation
-    WHERE
-      ps_suppkey = s_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_name = 'GERMANY'
-  )
-ORDER BY
-  value DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q12.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q12.sql
deleted file mode 100644
index 3312d53dc4..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q12.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- tables: orders,lineitem
-SELECT
-  l_shipmode,
-  sum(CASE
-      WHEN o_orderpriority = '1-URGENT'
-           OR o_orderpriority = '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS high_line_count,
-  sum(CASE
-      WHEN o_orderpriority <> '1-URGENT'
-           AND o_orderpriority <> '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS low_line_count
-FROM
-  orders,
-  lineitem
-WHERE
-  o_orderkey = l_orderkey
-  AND l_shipmode IN ('MAIL', 'SHIP')
-  AND l_commitdate < l_receiptdate
-  AND l_shipdate < l_commitdate
-  AND l_receiptdate >= DATE '1994-01-01'
-  AND l_receiptdate < DATE '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-  l_shipmode
-ORDER BY
-  l_shipmode
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q13.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q13.sql
deleted file mode 100644
index f7d69a955f..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q13.sql
+++ /dev/null
@@ -1,21 +0,0 @@
--- tables: customer
-SELECT
-  c_count,
-  count(*) AS custdist
-FROM (
-       SELECT
-         c_custkey,
-         count(o_orderkey) AS c_count
-       FROM
-         customer
-         LEFT OUTER JOIN orders ON
-                                  c_custkey = o_custkey
-                                  AND o_comment NOT LIKE '%special%requests%'
-       GROUP BY
-         c_custkey
-     ) AS c_orders
-GROUP BY
-  c_count
-ORDER BY
-  custdist DESC,
-  c_count DESC
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q14.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q14.sql
deleted file mode 100644
index 8fb3730bc2..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q14.sql
+++ /dev/null
@@ -1,13 +0,0 @@
--- tables: lineitem,part
-SELECT 100.00 * sum(CASE
-                    WHEN p_type LIKE 'PROMO%'
-                      THEN l_extendedprice * (1 - l_discount)
-                    ELSE 0
-                    END) / sum(l_extendedprice * (1 - l_discount)) AS promo_revenue
-FROM
-  lineitem,
-  part
-WHERE
-  l_partkey = p_partkey
-  AND l_shipdate >= DATE '1995-09-01'
-  AND l_shipdate < DATE '1995-09-01' + INTERVAL '1' MONTH
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q15.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q15.sql
deleted file mode 100644
index 74e2c08e09..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q15.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: lineitem,supplier
-SELECT
-  s_suppkey,
-  s_name,
-  s_address,
-  s_phone,
-  total_revenue
-FROM
-  supplier,
-  revenue1
-WHERE
-  s_suppkey = supplier_no
-  AND total_revenue = (
-    SELECT max(total_revenue)
-    FROM
-      revenue1
-  )
-ORDER BY
-  s_suppkey;
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q16.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q16.sql
deleted file mode 100644
index 277777cb13..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q16.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- tables: partsupp,part,supplier
-SELECT
-  p_brand,
-  p_type,
-  p_size,
-  count(DISTINCT ps_suppkey) AS supplier_cnt
-FROM
-  partsupp,
-  part
-WHERE
-  p_partkey = ps_partkey
-  AND p_brand <> 'Brand#45'
-  AND p_type NOT LIKE 'MEDIUM POLISHED%'
-  AND p_size IN (49, 14, 23, 45, 19, 3, 36, 9)
-  AND ps_suppkey NOT IN (
-    SELECT s_suppkey
-    FROM
-      supplier
-    WHERE
-      s_comment LIKE '%Customer%Complaints%'
-  )
-GROUP BY
-  p_brand,
-  p_type,
-  p_size
-ORDER BY
-  supplier_cnt DESC,
-  p_brand,
-  p_type,
-  p_size
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q17.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q17.sql
deleted file mode 100644
index c37f2ceedb..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q17.sql
+++ /dev/null
@@ -1,16 +0,0 @@
--- tables: lineitem,part
-SELECT sum(l_extendedprice) / 7.0 AS avg_yearly
-FROM
-  lineitem,
-  part
-WHERE
-  p_partkey = l_partkey
-  AND p_brand = 'Brand#23'
-  AND p_container = 'MED BOX'
-  AND l_quantity < (
-    SELECT 0.2 * avg(l_quantity)
-    FROM
-      lineitem
-    WHERE
-      l_partkey = p_partkey
-  )
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q18.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q18.sql
deleted file mode 100644
index 98db1d6046..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q18.sql
+++ /dev/null
@@ -1,34 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice,
-  sum(l_quantity)
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  o_orderkey IN (
-    SELECT l_orderkey
-    FROM
-      lineitem
-    GROUP BY
-      l_orderkey
-    HAVING
-      sum(l_quantity) > 300
-  )
-  AND c_custkey = o_custkey
-  AND o_orderkey = l_orderkey
-GROUP BY
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice
-ORDER BY
-  o_totalprice DESC,
-  o_orderdate
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q19.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q19.sql
deleted file mode 100644
index c4e107cd68..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q19.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: lineitem,part
-SELECT sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  lineitem,
-  part
-WHERE
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#12'
-    AND p_container IN ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
-    AND l_quantity >= 1 AND l_quantity <= 1 + 10
-    AND p_size BETWEEN 1 AND 5
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#23'
-    AND p_container IN ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
-    AND l_quantity >= 10 AND l_quantity <= 10 + 10
-    AND p_size BETWEEN 1 AND 10
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#34'
-    AND p_container IN ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
-    AND l_quantity >= 20 AND l_quantity <= 20 + 10
-    AND p_size BETWEEN 1 AND 15
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q20.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q20.sql
deleted file mode 100644
index 6d4ef5bcfc..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q20.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: supplier,nation,partsupp,lineitem,part
-SELECT
-  s_name,
-  s_address
-FROM
-  supplier, nation
-WHERE
-  s_suppkey IN (
-    SELECT ps_suppkey
-    FROM
-      partsupp
-    WHERE
-      ps_partkey IN (
-        SELECT p_partkey
-        FROM
-          part
-        WHERE
-          p_name LIKE 'forest%'
-      )
-      AND ps_availqty > (
-        SELECT 0.5 * sum(l_quantity)
-        FROM
-          lineitem
-        WHERE
-          l_partkey = ps_partkey
-          AND l_suppkey = ps_suppkey
-          AND l_shipdate >= date('1994-01-01')
-          AND l_shipdate < date('1994-01-01') + interval '1' YEAR
-)
-)
-AND s_nationkey = n_nationkey
-AND n_name = 'CANADA'
-ORDER BY s_name
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q21.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q21.sql
deleted file mode 100644
index 961f2749dd..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q21.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,nation
-SELECT
-  s_name,
-  count(*) AS numwait
-FROM
-  supplier,
-  lineitem l1,
-  orders,
-  nation
-WHERE
-  s_suppkey = l1.l_suppkey
-  AND o_orderkey = l1.l_orderkey
-  AND o_orderstatus = 'F'
-  AND l1.l_receiptdate > l1.l_commitdate
-  AND exists(
-    SELECT *
-    FROM
-      lineitem l2
-    WHERE
-      l2.l_orderkey = l1.l_orderkey
-      AND l2.l_suppkey <> l1.l_suppkey
-  )
-  AND NOT exists(
-    SELECT *
-    FROM
-      lineitem l3
-    WHERE
-      l3.l_orderkey = l1.l_orderkey
-      AND l3.l_suppkey <> l1.l_suppkey
-      AND l3.l_receiptdate > l3.l_commitdate
-  )
-  AND s_nationkey = n_nationkey
-  AND n_name = 'SAUDI ARABIA'
-GROUP BY
-  s_name
-ORDER BY
-  numwait DESC,
-  s_name
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q22.sql b/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q22.sql
deleted file mode 100644
index 01da180458..0000000000
--- a/regression-test/suites/datev2/tpch_sf0.1_p1/tpch_sf1/sql/q22.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: orders,customer
-SELECT
-  cntrycode,
-  count(*)       AS numcust,
-  sum(c_acctbal) AS totacctbal
-FROM (
-       SELECT
-         substr(c_phone, 1, 2) AS cntrycode,
-         c_acctbal
-       FROM
-         customer
-       WHERE
-         substr(c_phone, 1, 2) IN
-         ('13', '31', '23', '29', '30', '18', '17')
-         AND c_acctbal > (
-           SELECT avg(c_acctbal)
-           FROM
-             customer
-           WHERE
-             c_acctbal > 0.00
-             AND substr(c_phone, 1, 2) IN
-                 ('13', '31', '23', '29', '30', '18', '17')
-         )
-         AND NOT exists(
-           SELECT *
-           FROM
-             orders
-           WHERE
-             o_custkey = c_custkey
-         )
-     ) AS custsale
-GROUP BY
-  cntrycode
-ORDER BY
-  cntrycode
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/customer.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/customer.sql
deleted file mode 100644
index f81902a585..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/customer.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-CREATE TABLE IF NOT EXISTS customer (
-  C_CUSTKEY     INTEGER NOT NULL,
-  C_NAME        VARCHAR(25) NOT NULL,
-  C_ADDRESS     VARCHAR(40) NOT NULL,
-  C_NATIONKEY   INTEGER NOT NULL,
-  C_PHONE       CHAR(15) NOT NULL,
-  C_ACCTBAL     DECIMAL(15,2)   NOT NULL,
-  C_MKTSEGMENT  CHAR(10) NOT NULL,
-  C_COMMENT     VARCHAR(117) NOT NULL
-)
-UNIQUE KEY(C_CUSTKEY)
-DISTRIBUTED BY HASH(C_CUSTKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/customer_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/customer_delete.sql
deleted file mode 100644
index a214fe920c..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/customer_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE FROM customer where C_CUSTKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/lineitem.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/lineitem.sql
deleted file mode 100644
index 29a65777c7..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/lineitem.sql
+++ /dev/null
@@ -1,24 +0,0 @@
-CREATE TABLE IF NOT EXISTS lineitem (
-  L_ORDERKEY    INTEGER NOT NULL,
-  L_PARTKEY     INTEGER NOT NULL,
-  L_SUPPKEY     INTEGER NOT NULL,
-  L_LINENUMBER  INTEGER NOT NULL,
-  L_QUANTITY    DECIMAL(15,2) NOT NULL,
-  L_EXTENDEDPRICE  DECIMAL(15,2) NOT NULL,
-  L_DISCOUNT    DECIMAL(15,2) NOT NULL,
-  L_TAX         DECIMAL(15,2) NOT NULL,
-  L_RETURNFLAG  CHAR(1) NOT NULL,
-  L_LINESTATUS  CHAR(1) NOT NULL,
-  L_SHIPDATE    DATEV2 NOT NULL,
-  L_COMMITDATE  DATEV2 NOT NULL,
-  L_RECEIPTDATE DATEV2 NOT NULL,
-  L_SHIPINSTRUCT CHAR(25) NOT NULL,
-  L_SHIPMODE     CHAR(10) NOT NULL,
-  L_COMMENT      VARCHAR(44) NOT NULL
-)
-UNIQUE KEY(L_ORDERKEY, L_PARTKEY, L_SUPPKEY, L_LINENUMBER)
-DISTRIBUTED BY HASH(L_ORDERKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/lineitem_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/lineitem_delete.sql
deleted file mode 100644
index 6dbbe49ed0..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/lineitem_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE from lineitem where L_ORDERKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/nation.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/nation.sql
deleted file mode 100644
index d83e91c001..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/nation.sql
+++ /dev/null
@@ -1,12 +0,0 @@
-CREATE TABLE IF NOT EXISTS nation  (
-  N_NATIONKEY  INTEGER NOT NULL,
-  N_NAME       CHAR(25) NOT NULL,
-  N_REGIONKEY  INTEGER NOT NULL,
-  N_COMMENT    VARCHAR(152)
-)
-UNIQUE KEY(N_NATIONKEY)
-DISTRIBUTED BY HASH(N_NATIONKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/nation_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/nation_delete.sql
deleted file mode 100644
index 9fb7c085a6..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/nation_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE from nation where N_NATIONKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/orders.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/orders.sql
deleted file mode 100644
index 12bc189f34..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/orders.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-CREATE TABLE IF NOT EXISTS orders  (
-  O_ORDERKEY       INTEGER NOT NULL,
-  O_CUSTKEY        INTEGER NOT NULL,
-  O_ORDERSTATUS    CHAR(1) NOT NULL,
-  O_TOTALPRICE     DECIMAL(15,2) NOT NULL,
-  O_ORDERDATE      DATEV2 NOT NULL,
-  O_ORDERPRIORITY  CHAR(15) NOT NULL,  
-  O_CLERK          CHAR(15) NOT NULL, 
-  O_SHIPPRIORITY   INTEGER NOT NULL,
-  O_COMMENT        VARCHAR(79) NOT NULL
-)
-UNIQUE KEY(O_ORDERKEY)
-DISTRIBUTED BY HASH(O_ORDERKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/orders_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/orders_delete.sql
deleted file mode 100644
index 5199d8f296..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/orders_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from orders where O_ORDERKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/part.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/part.sql
deleted file mode 100644
index 30881dfc91..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/part.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-CREATE TABLE IF NOT EXISTS part (
-  P_PARTKEY     INTEGER NOT NULL,
-  P_NAME        VARCHAR(55) NOT NULL,
-  P_MFGR        CHAR(25) NOT NULL,
-  P_BRAND       CHAR(10) NOT NULL,
-  P_TYPE        VARCHAR(25) NOT NULL,
-  P_SIZE        INTEGER NOT NULL,
-  P_CONTAINER   CHAR(10) NOT NULL,
-  P_RETAILPRICE DECIMAL(15,2) NOT NULL,
-  P_COMMENT     VARCHAR(23) NOT NULL 
-)
-UNIQUE KEY(P_PARTKEY)
-DISTRIBUTED BY HASH(P_PARTKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/part_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/part_delete.sql
deleted file mode 100644
index ee1a2e5104..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/part_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from part where P_PARTKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/partsupp.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/partsupp.sql
deleted file mode 100644
index 6c35db2152..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/partsupp.sql
+++ /dev/null
@@ -1,13 +0,0 @@
-CREATE TABLE IF NOT EXISTS partsupp (
-  PS_PARTKEY     INTEGER NOT NULL,
-  PS_SUPPKEY     INTEGER NOT NULL,
-  PS_AVAILQTY    INTEGER NOT NULL,
-  PS_SUPPLYCOST  DECIMAL(15,2)  NOT NULL,
-  PS_COMMENT     VARCHAR(199) NOT NULL 
-)
-UNIQUE KEY(PS_PARTKEY, PS_SUPPKEY)
-DISTRIBUTED BY HASH(PS_PARTKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/partsupp_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/partsupp_delete.sql
deleted file mode 100644
index 067cff3a6f..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/partsupp_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from partsupp where PS_PARTKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/region.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/region.sql
deleted file mode 100644
index f83fd250ec..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/region.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-CREATE TABLE IF NOT EXISTS region (
-  R_REGIONKEY  INTEGER NOT NULL,
-  R_NAME       CHAR(25) NOT NULL,
-  R_COMMENT    VARCHAR(152)
-)
-UNIQUE KEY(R_REGIONKEY)
-DISTRIBUTED BY HASH(R_REGIONKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/region_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/region_delete.sql
deleted file mode 100644
index 4945d5105a..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/region_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from region where R_REGIONKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/revenue1.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/revenue1.sql
deleted file mode 100644
index 508f78b573..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/revenue1.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-CREATE VIEW IF NOT EXISTS revenue1 AS
-  SELECT
-    l_suppkey AS supplier_no,
-    sum(l_extendedprice * (1 - l_discount)) AS total_revenue
-  FROM
-    lineitem
-  WHERE
-    l_shipdate >= DATEV2 '1996-01-01'
-    AND l_shipdate < DATEV2 '1996-01-01' + INTERVAL '3' MONTH
-GROUP BY
-  l_suppkey;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/revenue1_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/revenue1_delete.sql
deleted file mode 100644
index c2ee91a38a..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/revenue1_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-drop view IF EXISTS revenue1;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/supplier.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/supplier.sql
deleted file mode 100644
index 8d09b6848b..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/supplier.sql
+++ /dev/null
@@ -1,14 +0,0 @@
-CREATE TABLE IF NOT EXISTS supplier (
-  S_SUPPKEY     INTEGER NOT NULL,
-  S_NAME        CHAR(25) NOT NULL,
-  S_ADDRESS     VARCHAR(40) NOT NULL,
-  S_NATIONKEY   INTEGER NOT NULL,
-  S_PHONE       CHAR(15) NOT NULL,
-  S_ACCTBAL     DECIMAL(15,2) NOT NULL,
-  S_COMMENT     VARCHAR(101) NOT NULL
-)
-UNIQUE KEY(S_SUPPKEY)
-DISTRIBUTED BY HASH(S_SUPPKEY) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/ddl/supplier_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/ddl/supplier_delete.sql
deleted file mode 100644
index d8327a8f85..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/ddl/supplier_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from supplier where S_SUPPKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/load.groovy b/regression-test/suites/datev2/tpch_sf1_p2/load.groovy
deleted file mode 100644
index 77524fe98b..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/load.groovy
+++ /dev/null
@@ -1,106 +0,0 @@
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-
-suite("load") {
-
-    // tpch_sf1_p1 is writted to test unique key table merge correctly.
-    // It creates unique key table and sets bucket num to 1 in order to make sure that 
-    // many rowsets will be created during loading and then the merge process will be triggered.
-
-    def tables = ["customer", "lineitem", "nation", "orders", "part", "partsupp", "region", "supplier"]
-
-    for (String table in tables) {
-        sql new File("""${context.file.parent}/ddl/${table}.sql""").text
-        sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
-    }
-
-    for (String tableName in tables) {
-        streamLoad {
-            // a default db 'regression_test' is specified in
-            // ${DORIS_HOME}/conf/regression-conf.groovy
-            table tableName
-
-            // default label is UUID:
-            // set 'label' UUID.randomUUID().toString()
-
-            // default column_separator is specify in doris fe config, usually is '\t'.
-            // this line change to ','
-            set 'column_separator', '|'
-            set 'compress_type', 'GZ'
-
-            // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
-            // also, you can stream load a http stream, e.g. http://xxx/some.csv
-            file """${getS3Url()}/regression/tpch/sf1/${tableName}.csv.split00.gz"""
-
-            time 10000 // limit inflight 10s
-
-            // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
-
-            // if declared a check callback, the default check condition will ignore.
-            // So you must check all condition
-            check { result, exception, startTime, endTime ->
-                if (exception != null) {
-                    throw exception
-                }
-                log.info("Stream load result: ${result}".toString())
-                def json = parseJson(result)
-                assertEquals("success", json.Status.toLowerCase())
-                assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
-                assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
-            }
-        }
-        streamLoad {
-            // a default db 'regression_test' is specified in
-            // ${DORIS_HOME}/conf/regression-conf.groovy
-            table tableName
-
-            // default label is UUID:
-            // set 'label' UUID.randomUUID().toString()
-
-            // default column_separator is specify in doris fe config, usually is '\t'.
-            // this line change to ','
-            set 'column_separator', '|'
-            set 'compress_type', 'GZ'
-
-
-            // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
-            // also, you can stream load a http stream, e.g. http://xxx/some.csv
-            file """${getS3Url()}/regression/tpch/sf1/${tableName}.csv.split01.gz"""
-
-            time 10000 // limit inflight 10s
-
-            // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
-
-            // if declared a check callback, the default check condition will ignore.
-            // So you must check all condition
-            check { result, exception, startTime, endTime ->
-                if (exception != null) {
-                    throw exception
-                }
-                log.info("Stream load result: ${result}".toString())
-                def json = parseJson(result)
-                assertEquals("success", json.Status.toLowerCase())
-                assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
-                assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
-            }
-        }
-    }
-
-    def table = "revenue1"
-    sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
-    sql new File("""${context.file.parent}/ddl/${table}.sql""").text
-}
\ No newline at end of file
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q01.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q01.sql
deleted file mode 100644
index 1c921f6705..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q01.sql
+++ /dev/null
@@ -1,22 +0,0 @@
--- tables: lineitem
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  l_returnflag,
-  l_linestatus,
-  sum(l_quantity)                                       AS sum_qty,
-  sum(l_extendedprice)                                  AS sum_base_price,
-  sum(l_extendedprice * (1 - l_discount))               AS sum_disc_price,
-  sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge,
-  avg(l_quantity)                                       AS avg_qty,
-  avg(l_extendedprice)                                  AS avg_price,
-  avg(l_discount)                                       AS avg_disc,
-  count(*)                                              AS count_order
-FROM
-  lineitem
-WHERE
-  l_shipdate <= DATEV2 '1998-12-01' - INTERVAL '90' DAY
-GROUP BY
-l_returnflag,
-l_linestatus
-ORDER BY
-l_returnflag,
-l_linestatus
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q02.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q02.sql
deleted file mode 100644
index c6df889531..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q02.sql
+++ /dev/null
@@ -1,42 +0,0 @@
--- tables: part,supplier,partsupp,nation,region
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_acctbal,
-  s_name,
-  n_name,
-  p_partkey,
-  p_mfgr,
-  s_address,
-  s_phone,
-  s_comment
-FROM
-  part,
-  supplier,
-  partsupp,
-  nation,
-  region
-WHERE
-  p_partkey = ps_partkey
-  AND s_suppkey = ps_suppkey
-  AND p_size = 15
-  AND p_type LIKE '%BRASS'
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'EUROPE'
-  AND ps_supplycost = (
-    SELECT min(ps_supplycost)
-    FROM
-      partsupp, supplier,
-      nation, region
-    WHERE
-      p_partkey = ps_partkey
-      AND s_suppkey = ps_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_regionkey = r_regionkey
-      AND r_name = 'EUROPE'
-  )
-ORDER BY
-  s_acctbal DESC,
-  n_name,
-  s_name,
-  p_partkey
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q03.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q03.sql
deleted file mode 100644
index 35a140d726..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q03.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  l_orderkey,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  o_orderdate,
-  o_shippriority
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  c_mktsegment = 'BUILDING'
-  AND c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate < DATEV2 '1995-03-15'
-  AND l_shipdate > DATEV2 '1995-03-15'
-GROUP BY
-  l_orderkey,
-  o_orderdate,
-  o_shippriority
-ORDER BY
-  revenue DESC,
-  o_orderdate
-LIMIT 10
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q04.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q04.sql
deleted file mode 100644
index 6a84f56d4d..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q04.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: orders,lineitem
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  o_orderpriority,
-  count(*) AS order_count
-FROM orders
-WHERE
-  o_orderdate >= DATEV2 '1993-07-01'
-  AND o_orderdate < DATEV2 '1993-07-01' + INTERVAL '3' MONTH
-AND EXISTS (
-SELECT *
-FROM lineitem
-WHERE
-l_orderkey = o_orderkey
-AND l_commitdate < l_receiptdate
-)
-GROUP BY
-o_orderpriority
-ORDER BY
-o_orderpriority
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q05.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q05.sql
deleted file mode 100644
index 92ae96dafd..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q05.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- tables: customer,orders,lineitem,supplier,nation,region
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  n_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  customer,
-  orders,
-  lineitem,
-  supplier,
-  nation,
-  region
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND l_suppkey = s_suppkey
-  AND c_nationkey = s_nationkey
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'ASIA'
-  AND o_orderdate >= DATEV2 '1994-01-01'
-  AND o_orderdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-n_name
-ORDER BY
-revenue DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q06.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q06.sql
deleted file mode 100644
index 10c9f58e8f..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q06.sql
+++ /dev/null
@@ -1,11 +0,0 @@
--- tables: lineitem
-
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ sum(l_extendedprice * l_discount) AS revenue
-FROM
-  lineitem
-WHERE
-  l_shipdate >= DATEV2 '1994-01-01'
-  AND l_shipdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-AND l_discount BETWEEN 0.06 - 0.01 AND .06 + 0.01
-AND l_quantity < 24
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q07.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q07.sql
deleted file mode 100644
index 25749ccf72..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q07.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,customer,nation
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  supp_nation,
-  cust_nation,
-  l_year,
-  sum(volume) AS revenue
-FROM (
-       SELECT
-         n1.n_name                          AS supp_nation,
-         n2.n_name                          AS cust_nation,
-         extract(YEAR FROM l_shipdate)      AS l_year,
-         l_extendedprice * (1 - l_discount) AS volume
-       FROM
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2
-       WHERE
-         s_suppkey = l_suppkey
-         AND o_orderkey = l_orderkey
-         AND c_custkey = o_custkey
-         AND s_nationkey = n1.n_nationkey
-         AND c_nationkey = n2.n_nationkey
-         AND (
-           (n1.n_name = 'FRANCE' AND n2.n_name = 'GERMANY')
-           OR (n1.n_name = 'GERMANY' AND n2.n_name = 'FRANCE')
-         )
-         AND l_shipdate BETWEEN DATEV2 '1995-01-01' AND DATEV2 '1996-12-31'
-     ) AS shipping
-GROUP BY
-  supp_nation,
-  cust_nation,
-  l_year
-ORDER BY
-  supp_nation,
-  cust_nation,
-  l_year
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q08.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q08.sql
deleted file mode 100644
index 02dcc3d684..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q08.sql
+++ /dev/null
@@ -1,38 +0,0 @@
--- tables: part,supplier,lineitem,orders,customer,nation,region
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  o_year,
-  sum(CASE
-      WHEN nation = 'BRAZIL'
-        THEN volume
-      ELSE 0
-      END) / sum(volume) AS mkt_share
-FROM (
-       SELECT
-         extract(YEAR FROM o_orderdate)     AS o_year,
-         l_extendedprice * (1 - l_discount) AS volume,
-         n2.n_name                          AS nation
-       FROM
-         part,
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2,
-         region
-       WHERE
-         p_partkey = l_partkey
-         AND s_suppkey = l_suppkey
-         AND l_orderkey = o_orderkey
-         AND o_custkey = c_custkey
-         AND c_nationkey = n1.n_nationkey
-         AND n1.n_regionkey = r_regionkey
-         AND r_name = 'AMERICA'
-         AND s_nationkey = n2.n_nationkey
-         AND o_orderdate BETWEEN DATEV2 '1995-01-01' AND DATEV2 '1996-12-31'
-         AND p_type = 'ECONOMY ANODIZED STEEL'
-     ) AS all_nations
-GROUP BY
-  o_year
-ORDER BY
-  o_year
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q09.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q09.sql
deleted file mode 100644
index 7c3100b15c..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q09.sql
+++ /dev/null
@@ -1,32 +0,0 @@
--- tables: part,supplier,lineitem,partsupp,orders,nation
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  nation,
-  o_year,
-  sum(amount) AS sum_profit
-FROM (
-       SELECT
-         n_name                                                          AS nation,
-         extract(YEAR FROM o_orderdate)                                  AS o_year,
-         l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount
-       FROM
-         part,
-         supplier,
-         lineitem,
-         partsupp,
-         orders,
-         nation
-       WHERE
-         s_suppkey = l_suppkey
-         AND ps_suppkey = l_suppkey
-         AND ps_partkey = l_partkey
-         AND p_partkey = l_partkey
-         AND o_orderkey = l_orderkey
-         AND s_nationkey = n_nationkey
-         AND p_name LIKE '%green%'
-     ) AS profit
-GROUP BY
-  nation,
-  o_year
-ORDER BY
-  nation,
-  o_year DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q10.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q10.sql
deleted file mode 100644
index cf666a899b..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q10.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: customer,orders,lineitem,nation
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_custkey,
-  c_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  c_acctbal,
-  n_name,
-  c_address,
-  c_phone,
-  c_comment
-FROM
-  customer,
-  orders,
-  lineitem,
-  nation
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate >= DATEV2 '1993-10-01'
-  AND o_orderdate < DATEV2 '1993-10-01' + INTERVAL '3' MONTH
-  AND l_returnflag = 'R'
-  AND c_nationkey = n_nationkey
-GROUP BY
-  c_custkey,
-  c_name,
-  c_acctbal,
-  c_phone,
-  n_name,
-  c_address,
-  c_comment
-ORDER BY
-  revenue DESC
-LIMIT 20
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q11.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q11.sql
deleted file mode 100644
index 39d0795c6b..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q11.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- tables: partsupp,supplier,nation
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  ps_partkey,
-  sum(ps_supplycost * ps_availqty) AS value
-FROM
-  partsupp,
-  supplier,
-  nation
-WHERE
-  ps_suppkey = s_suppkey
-  AND s_nationkey = n_nationkey
-  AND n_name = 'GERMANY'
-GROUP BY
-  ps_partkey
-HAVING
-  sum(ps_supplycost * ps_availqty) > (
-    SELECT sum(ps_supplycost * ps_availqty) * 0.0001
-    FROM
-      partsupp,
-      supplier,
-      nation
-    WHERE
-      ps_suppkey = s_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_name = 'GERMANY'
-  )
-ORDER BY
-  value DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q12.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q12.sql
deleted file mode 100644
index 4a6e3ed2d2..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q12.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- tables: orders,lineitem
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  l_shipmode,
-  sum(CASE
-      WHEN o_orderpriority = '1-URGENT'
-           OR o_orderpriority = '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS high_line_count,
-  sum(CASE
-      WHEN o_orderpriority <> '1-URGENT'
-           AND o_orderpriority <> '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS low_line_count
-FROM
-  orders,
-  lineitem
-WHERE
-  o_orderkey = l_orderkey
-  AND l_shipmode IN ('MAIL', 'SHIP')
-  AND l_commitdate < l_receiptdate
-  AND l_shipdate < l_commitdate
-  AND l_receiptdate >= DATEV2 '1994-01-01'
-  AND l_receiptdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-  l_shipmode
-ORDER BY
-  l_shipmode
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q13.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q13.sql
deleted file mode 100644
index 58eeaf2e7a..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q13.sql
+++ /dev/null
@@ -1,21 +0,0 @@
--- tables: customer
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_count,
-  count(*) AS custdist
-FROM (
-       SELECT
-         c_custkey,
-         count(o_orderkey) AS c_count
-       FROM
-         customer
-         LEFT OUTER JOIN orders ON
-                                  c_custkey = o_custkey
-                                  AND o_comment NOT LIKE '%special%requests%'
-       GROUP BY
-         c_custkey
-     ) AS c_orders
-GROUP BY
-  c_count
-ORDER BY
-  custdist DESC,
-  c_count DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q14.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q14.sql
deleted file mode 100644
index 080a5dbe1d..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q14.sql
+++ /dev/null
@@ -1,13 +0,0 @@
--- tables: lineitem,part
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ 100.00 * sum(CASE
-                    WHEN p_type LIKE 'PROMO%'
-                      THEN l_extendedprice * (1 - l_discount)
-                    ELSE 0
-                    END) / sum(l_extendedprice * (1 - l_discount)) AS promo_revenue
-FROM
-  lineitem,
-  part
-WHERE
-  l_partkey = p_partkey
-  AND l_shipdate >= DATEV2 '1995-09-01'
-  AND l_shipdate < DATEV2 '1995-09-01' + INTERVAL '1' MONTH
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q15.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q15.sql
deleted file mode 100644
index 4a725db9f9..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q15.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: lineitem,supplier
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_suppkey,
-  s_name,
-  s_address,
-  s_phone,
-  total_revenue
-FROM
-  supplier,
-  revenue1
-WHERE
-  s_suppkey = supplier_no
-  AND total_revenue = (
-    SELECT max(total_revenue)
-    FROM
-      revenue1
-  )
-ORDER BY
-  s_suppkey;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q16.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q16.sql
deleted file mode 100644
index 001c33941b..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q16.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- tables: partsupp,part,supplier
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  p_brand,
-  p_type,
-  p_size,
-  count(DISTINCT ps_suppkey) AS supplier_cnt
-FROM
-  partsupp,
-  part
-WHERE
-  p_partkey = ps_partkey
-  AND p_brand <> 'Brand#45'
-  AND p_type NOT LIKE 'MEDIUM POLISHED%'
-  AND p_size IN (49, 14, 23, 45, 19, 3, 36, 9)
-  AND ps_suppkey NOT IN (
-    SELECT s_suppkey
-    FROM
-      supplier
-    WHERE
-      s_comment LIKE '%Customer%Complaints%'
-  )
-GROUP BY
-  p_brand,
-  p_type,
-  p_size
-ORDER BY
-  supplier_cnt DESC,
-  p_brand,
-  p_type,
-  p_size
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q17.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q17.sql
deleted file mode 100644
index 3f949c4881..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q17.sql
+++ /dev/null
@@ -1,16 +0,0 @@
--- tables: lineitem,part
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ sum(l_extendedprice) / 7.0 AS avg_yearly
-FROM
-  lineitem,
-  part
-WHERE
-  p_partkey = l_partkey
-  AND p_brand = 'Brand#23'
-  AND p_container = 'MED BOX'
-  AND l_quantity < (
-    SELECT 0.2 * avg(l_quantity)
-    FROM
-      lineitem
-    WHERE
-      l_partkey = p_partkey
-  )
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q18.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q18.sql
deleted file mode 100644
index ed1560428f..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q18.sql
+++ /dev/null
@@ -1,34 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice,
-  sum(l_quantity)
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  o_orderkey IN (
-    SELECT l_orderkey
-    FROM
-      lineitem
-    GROUP BY
-      l_orderkey
-    HAVING
-      sum(l_quantity) > 300
-  )
-  AND c_custkey = o_custkey
-  AND o_orderkey = l_orderkey
-GROUP BY
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice
-ORDER BY
-  o_totalprice DESC,
-  o_orderdate
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q19.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q19.sql
deleted file mode 100644
index 0e11edf305..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q19.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: lineitem,part
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */ sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  lineitem,
-  part
-WHERE
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#12'
-    AND p_container IN ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
-    AND l_quantity >= 1 AND l_quantity <= 1 + 10
-    AND p_size BETWEEN 1 AND 5
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#23'
-    AND p_container IN ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
-    AND l_quantity >= 10 AND l_quantity <= 10 + 10
-    AND p_size BETWEEN 1 AND 10
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#34'
-    AND p_container IN ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
-    AND l_quantity >= 20 AND l_quantity <= 20 + 10
-    AND p_size BETWEEN 1 AND 15
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q20.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q20.sql
deleted file mode 100644
index 826537af37..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q20.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: supplier,nation,partsupp,lineitem,part
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_name,
-  s_address
-FROM
-  supplier, nation
-WHERE
-  s_suppkey IN (
-    SELECT ps_suppkey
-    FROM
-      partsupp
-    WHERE
-      ps_partkey IN (
-        SELECT p_partkey
-        FROM
-          part
-        WHERE
-          p_name LIKE 'forest%'
-      )
-      AND ps_availqty > (
-        SELECT 0.5 * sum(l_quantity)
-        FROM
-          lineitem
-        WHERE
-          l_partkey = ps_partkey
-          AND l_suppkey = ps_suppkey
-          AND l_shipdate >= datev2('1994-01-01')
-          AND l_shipdate < datev2('1994-01-01') + interval '1' YEAR
-)
-)
-AND s_nationkey = n_nationkey
-AND n_name = 'CANADA'
-ORDER BY s_name
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q21.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q21.sql
deleted file mode 100644
index d9d75912c1..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q21.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,nation
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  s_name,
-  count(*) AS numwait
-FROM
-  supplier,
-  lineitem l1,
-  orders,
-  nation
-WHERE
-  s_suppkey = l1.l_suppkey
-  AND o_orderkey = l1.l_orderkey
-  AND o_orderstatus = 'F'
-  AND l1.l_receiptdate > l1.l_commitdate
-  AND exists(
-    SELECT *
-    FROM
-      lineitem l2
-    WHERE
-      l2.l_orderkey = l1.l_orderkey
-      AND l2.l_suppkey <> l1.l_suppkey
-  )
-  AND NOT exists(
-    SELECT *
-    FROM
-      lineitem l3
-    WHERE
-      l3.l_orderkey = l1.l_orderkey
-      AND l3.l_suppkey <> l1.l_suppkey
-      AND l3.l_receiptdate > l3.l_commitdate
-  )
-  AND s_nationkey = n_nationkey
-  AND n_name = 'SAUDI ARABIA'
-GROUP BY
-  s_name
-ORDER BY
-  numwait DESC,
-  s_name
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q22.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q22.sql
deleted file mode 100644
index fc7f1b417d..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/pipeline_q22.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: orders,customer
-SELECT /*+SET_VAR(enable_pipeline_engine=true) */
-  cntrycode,
-  count(*)       AS numcust,
-  sum(c_acctbal) AS totacctbal
-FROM (
-       SELECT
-         substr(c_phone, 1, 2) AS cntrycode,
-         c_acctbal
-       FROM
-         customer
-       WHERE
-         substr(c_phone, 1, 2) IN
-         ('13', '31', '23', '29', '30', '18', '17')
-         AND c_acctbal > (
-           SELECT avg(c_acctbal)
-           FROM
-             customer
-           WHERE
-             c_acctbal > 0.00
-             AND substr(c_phone, 1, 2) IN
-                 ('13', '31', '23', '29', '30', '18', '17')
-         )
-         AND NOT exists(
-           SELECT *
-           FROM
-             orders
-           WHERE
-             o_custkey = c_custkey
-         )
-     ) AS custsale
-GROUP BY
-  cntrycode
-ORDER BY
-  cntrycode
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q01.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q01.sql
deleted file mode 100644
index c84c5690f5..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q01.sql
+++ /dev/null
@@ -1,22 +0,0 @@
--- tables: lineitem
-SELECT
-  l_returnflag,
-  l_linestatus,
-  sum(l_quantity)                                       AS sum_qty,
-  sum(l_extendedprice)                                  AS sum_base_price,
-  sum(l_extendedprice * (1 - l_discount))               AS sum_disc_price,
-  sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge,
-  avg(l_quantity)                                       AS avg_qty,
-  avg(l_extendedprice)                                  AS avg_price,
-  avg(l_discount)                                       AS avg_disc,
-  count(*)                                              AS count_order
-FROM
-  lineitem
-WHERE
-  l_shipdate <= DATEV2 '1998-12-01' - INTERVAL '90' DAY
-GROUP BY
-l_returnflag,
-l_linestatus
-ORDER BY
-l_returnflag,
-l_linestatus
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q02.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q02.sql
deleted file mode 100644
index 8c60ec1929..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q02.sql
+++ /dev/null
@@ -1,42 +0,0 @@
--- tables: part,supplier,partsupp,nation,region
-SELECT
-  s_acctbal,
-  s_name,
-  n_name,
-  p_partkey,
-  p_mfgr,
-  s_address,
-  s_phone,
-  s_comment
-FROM
-  part,
-  supplier,
-  partsupp,
-  nation,
-  region
-WHERE
-  p_partkey = ps_partkey
-  AND s_suppkey = ps_suppkey
-  AND p_size = 15
-  AND p_type LIKE '%BRASS'
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'EUROPE'
-  AND ps_supplycost = (
-    SELECT min(ps_supplycost)
-    FROM
-      partsupp, supplier,
-      nation, region
-    WHERE
-      p_partkey = ps_partkey
-      AND s_suppkey = ps_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_regionkey = r_regionkey
-      AND r_name = 'EUROPE'
-  )
-ORDER BY
-  s_acctbal DESC,
-  n_name,
-  s_name,
-  p_partkey
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q03.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q03.sql
deleted file mode 100644
index 48aa067068..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q03.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT
-  l_orderkey,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  o_orderdate,
-  o_shippriority
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  c_mktsegment = 'BUILDING'
-  AND c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate < DATEV2 '1995-03-15'
-  AND l_shipdate > DATEV2 '1995-03-15'
-GROUP BY
-  l_orderkey,
-  o_orderdate,
-  o_shippriority
-ORDER BY
-  revenue DESC,
-  o_orderdate
-LIMIT 10
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q04.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q04.sql
deleted file mode 100644
index e271215677..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q04.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: orders,lineitem
-SELECT
-  o_orderpriority,
-  count(*) AS order_count
-FROM orders
-WHERE
-  o_orderdate >= DATEV2 '1993-07-01'
-  AND o_orderdate < DATEV2 '1993-07-01' + INTERVAL '3' MONTH
-AND EXISTS (
-SELECT *
-FROM lineitem
-WHERE
-l_orderkey = o_orderkey
-AND l_commitdate < l_receiptdate
-)
-GROUP BY
-o_orderpriority
-ORDER BY
-o_orderpriority
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q05.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q05.sql
deleted file mode 100644
index 97531e173f..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q05.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- tables: customer,orders,lineitem,supplier,nation,region
-SELECT
-  n_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  customer,
-  orders,
-  lineitem,
-  supplier,
-  nation,
-  region
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND l_suppkey = s_suppkey
-  AND c_nationkey = s_nationkey
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'ASIA'
-  AND o_orderdate >= DATEV2 '1994-01-01'
-  AND o_orderdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-n_name
-ORDER BY
-revenue DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q06.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q06.sql
deleted file mode 100644
index ade16288a1..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q06.sql
+++ /dev/null
@@ -1,11 +0,0 @@
--- tables: lineitem
-
-SELECT sum(l_extendedprice * l_discount) AS revenue
-FROM
-  lineitem
-WHERE
-  l_shipdate >= DATEV2 '1994-01-01'
-  AND l_shipdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-AND l_discount BETWEEN 0.06 - 0.01 AND .06 + 0.01
-AND l_quantity < 24
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q07.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q07.sql
deleted file mode 100644
index 93c90deab4..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q07.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,customer,nation
-SELECT
-  supp_nation,
-  cust_nation,
-  l_year,
-  sum(volume) AS revenue
-FROM (
-       SELECT
-         n1.n_name                          AS supp_nation,
-         n2.n_name                          AS cust_nation,
-         extract(YEAR FROM l_shipdate)      AS l_year,
-         l_extendedprice * (1 - l_discount) AS volume
-       FROM
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2
-       WHERE
-         s_suppkey = l_suppkey
-         AND o_orderkey = l_orderkey
-         AND c_custkey = o_custkey
-         AND s_nationkey = n1.n_nationkey
-         AND c_nationkey = n2.n_nationkey
-         AND (
-           (n1.n_name = 'FRANCE' AND n2.n_name = 'GERMANY')
-           OR (n1.n_name = 'GERMANY' AND n2.n_name = 'FRANCE')
-         )
-         AND l_shipdate BETWEEN DATEV2 '1995-01-01' AND DATEV2 '1996-12-31'
-     ) AS shipping
-GROUP BY
-  supp_nation,
-  cust_nation,
-  l_year
-ORDER BY
-  supp_nation,
-  cust_nation,
-  l_year
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q08.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q08.sql
deleted file mode 100644
index a8e34eb24e..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q08.sql
+++ /dev/null
@@ -1,38 +0,0 @@
--- tables: part,supplier,lineitem,orders,customer,nation,region
-SELECT
-  o_year,
-  sum(CASE
-      WHEN nation = 'BRAZIL'
-        THEN volume
-      ELSE 0
-      END) / sum(volume) AS mkt_share
-FROM (
-       SELECT
-         extract(YEAR FROM o_orderdate)     AS o_year,
-         l_extendedprice * (1 - l_discount) AS volume,
-         n2.n_name                          AS nation
-       FROM
-         part,
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2,
-         region
-       WHERE
-         p_partkey = l_partkey
-         AND s_suppkey = l_suppkey
-         AND l_orderkey = o_orderkey
-         AND o_custkey = c_custkey
-         AND c_nationkey = n1.n_nationkey
-         AND n1.n_regionkey = r_regionkey
-         AND r_name = 'AMERICA'
-         AND s_nationkey = n2.n_nationkey
-         AND o_orderdate BETWEEN DATEV2 '1995-01-01' AND DATEV2 '1996-12-31'
-         AND p_type = 'ECONOMY ANODIZED STEEL'
-     ) AS all_nations
-GROUP BY
-  o_year
-ORDER BY
-  o_year
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q09.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q09.sql
deleted file mode 100644
index 9236941881..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q09.sql
+++ /dev/null
@@ -1,32 +0,0 @@
--- tables: part,supplier,lineitem,partsupp,orders,nation
-SELECT
-  nation,
-  o_year,
-  sum(amount) AS sum_profit
-FROM (
-       SELECT
-         n_name                                                          AS nation,
-         extract(YEAR FROM o_orderdate)                                  AS o_year,
-         l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount
-       FROM
-         part,
-         supplier,
-         lineitem,
-         partsupp,
-         orders,
-         nation
-       WHERE
-         s_suppkey = l_suppkey
-         AND ps_suppkey = l_suppkey
-         AND ps_partkey = l_partkey
-         AND p_partkey = l_partkey
-         AND o_orderkey = l_orderkey
-         AND s_nationkey = n_nationkey
-         AND p_name LIKE '%green%'
-     ) AS profit
-GROUP BY
-  nation,
-  o_year
-ORDER BY
-  nation,
-  o_year DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q10.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q10.sql
deleted file mode 100644
index be55ce968d..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q10.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: customer,orders,lineitem,nation
-SELECT
-  c_custkey,
-  c_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  c_acctbal,
-  n_name,
-  c_address,
-  c_phone,
-  c_comment
-FROM
-  customer,
-  orders,
-  lineitem,
-  nation
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate >= DATEV2 '1993-10-01'
-  AND o_orderdate < DATEV2 '1993-10-01' + INTERVAL '3' MONTH
-  AND l_returnflag = 'R'
-  AND c_nationkey = n_nationkey
-GROUP BY
-  c_custkey,
-  c_name,
-  c_acctbal,
-  c_phone,
-  n_name,
-  c_address,
-  c_comment
-ORDER BY
-  revenue DESC
-LIMIT 20
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q11.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q11.sql
deleted file mode 100644
index 18856461ea..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q11.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- tables: partsupp,supplier,nation
-SELECT
-  ps_partkey,
-  sum(ps_supplycost * ps_availqty) AS value
-FROM
-  partsupp,
-  supplier,
-  nation
-WHERE
-  ps_suppkey = s_suppkey
-  AND s_nationkey = n_nationkey
-  AND n_name = 'GERMANY'
-GROUP BY
-  ps_partkey
-HAVING
-  sum(ps_supplycost * ps_availqty) > (
-    SELECT sum(ps_supplycost * ps_availqty) * 0.0001
-    FROM
-      partsupp,
-      supplier,
-      nation
-    WHERE
-      ps_suppkey = s_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_name = 'GERMANY'
-  )
-ORDER BY
-  value DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q12.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q12.sql
deleted file mode 100644
index 47a704e921..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q12.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- tables: orders,lineitem
-SELECT
-  l_shipmode,
-  sum(CASE
-      WHEN o_orderpriority = '1-URGENT'
-           OR o_orderpriority = '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS high_line_count,
-  sum(CASE
-      WHEN o_orderpriority <> '1-URGENT'
-           AND o_orderpriority <> '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS low_line_count
-FROM
-  orders,
-  lineitem
-WHERE
-  o_orderkey = l_orderkey
-  AND l_shipmode IN ('MAIL', 'SHIP')
-  AND l_commitdate < l_receiptdate
-  AND l_shipdate < l_commitdate
-  AND l_receiptdate >= DATEV2 '1994-01-01'
-  AND l_receiptdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-  l_shipmode
-ORDER BY
-  l_shipmode
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q13.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q13.sql
deleted file mode 100644
index f7d69a955f..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q13.sql
+++ /dev/null
@@ -1,21 +0,0 @@
--- tables: customer
-SELECT
-  c_count,
-  count(*) AS custdist
-FROM (
-       SELECT
-         c_custkey,
-         count(o_orderkey) AS c_count
-       FROM
-         customer
-         LEFT OUTER JOIN orders ON
-                                  c_custkey = o_custkey
-                                  AND o_comment NOT LIKE '%special%requests%'
-       GROUP BY
-         c_custkey
-     ) AS c_orders
-GROUP BY
-  c_count
-ORDER BY
-  custdist DESC,
-  c_count DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q14.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q14.sql
deleted file mode 100644
index 6673d44e16..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q14.sql
+++ /dev/null
@@ -1,13 +0,0 @@
--- tables: lineitem,part
-SELECT 100.00 * sum(CASE
-                    WHEN p_type LIKE 'PROMO%'
-                      THEN l_extendedprice * (1 - l_discount)
-                    ELSE 0
-                    END) / sum(l_extendedprice * (1 - l_discount)) AS promo_revenue
-FROM
-  lineitem,
-  part
-WHERE
-  l_partkey = p_partkey
-  AND l_shipdate >= DATEV2 '1995-09-01'
-  AND l_shipdate < DATEV2 '1995-09-01' + INTERVAL '1' MONTH
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q15.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q15.sql
deleted file mode 100644
index 74e2c08e09..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q15.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: lineitem,supplier
-SELECT
-  s_suppkey,
-  s_name,
-  s_address,
-  s_phone,
-  total_revenue
-FROM
-  supplier,
-  revenue1
-WHERE
-  s_suppkey = supplier_no
-  AND total_revenue = (
-    SELECT max(total_revenue)
-    FROM
-      revenue1
-  )
-ORDER BY
-  s_suppkey;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q16.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q16.sql
deleted file mode 100644
index 277777cb13..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q16.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- tables: partsupp,part,supplier
-SELECT
-  p_brand,
-  p_type,
-  p_size,
-  count(DISTINCT ps_suppkey) AS supplier_cnt
-FROM
-  partsupp,
-  part
-WHERE
-  p_partkey = ps_partkey
-  AND p_brand <> 'Brand#45'
-  AND p_type NOT LIKE 'MEDIUM POLISHED%'
-  AND p_size IN (49, 14, 23, 45, 19, 3, 36, 9)
-  AND ps_suppkey NOT IN (
-    SELECT s_suppkey
-    FROM
-      supplier
-    WHERE
-      s_comment LIKE '%Customer%Complaints%'
-  )
-GROUP BY
-  p_brand,
-  p_type,
-  p_size
-ORDER BY
-  supplier_cnt DESC,
-  p_brand,
-  p_type,
-  p_size
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q17.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q17.sql
deleted file mode 100644
index c37f2ceedb..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q17.sql
+++ /dev/null
@@ -1,16 +0,0 @@
--- tables: lineitem,part
-SELECT sum(l_extendedprice) / 7.0 AS avg_yearly
-FROM
-  lineitem,
-  part
-WHERE
-  p_partkey = l_partkey
-  AND p_brand = 'Brand#23'
-  AND p_container = 'MED BOX'
-  AND l_quantity < (
-    SELECT 0.2 * avg(l_quantity)
-    FROM
-      lineitem
-    WHERE
-      l_partkey = p_partkey
-  )
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q18.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q18.sql
deleted file mode 100644
index 98db1d6046..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q18.sql
+++ /dev/null
@@ -1,34 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice,
-  sum(l_quantity)
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  o_orderkey IN (
-    SELECT l_orderkey
-    FROM
-      lineitem
-    GROUP BY
-      l_orderkey
-    HAVING
-      sum(l_quantity) > 300
-  )
-  AND c_custkey = o_custkey
-  AND o_orderkey = l_orderkey
-GROUP BY
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice
-ORDER BY
-  o_totalprice DESC,
-  o_orderdate
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q19.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q19.sql
deleted file mode 100644
index c4e107cd68..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q19.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: lineitem,part
-SELECT sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  lineitem,
-  part
-WHERE
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#12'
-    AND p_container IN ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
-    AND l_quantity >= 1 AND l_quantity <= 1 + 10
-    AND p_size BETWEEN 1 AND 5
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#23'
-    AND p_container IN ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
-    AND l_quantity >= 10 AND l_quantity <= 10 + 10
-    AND p_size BETWEEN 1 AND 10
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#34'
-    AND p_container IN ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
-    AND l_quantity >= 20 AND l_quantity <= 20 + 10
-    AND p_size BETWEEN 1 AND 15
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q20.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q20.sql
deleted file mode 100644
index ff8bb924d3..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q20.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: supplier,nation,partsupp,lineitem,part
-SELECT
-  s_name,
-  s_address
-FROM
-  supplier, nation
-WHERE
-  s_suppkey IN (
-    SELECT ps_suppkey
-    FROM
-      partsupp
-    WHERE
-      ps_partkey IN (
-        SELECT p_partkey
-        FROM
-          part
-        WHERE
-          p_name LIKE 'forest%'
-      )
-      AND ps_availqty > (
-        SELECT 0.5 * sum(l_quantity)
-        FROM
-          lineitem
-        WHERE
-          l_partkey = ps_partkey
-          AND l_suppkey = ps_suppkey
-          AND l_shipdate >= datev2('1994-01-01')
-          AND l_shipdate < datev2('1994-01-01') + interval '1' YEAR
-)
-)
-AND s_nationkey = n_nationkey
-AND n_name = 'CANADA'
-ORDER BY s_name
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q21.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q21.sql
deleted file mode 100644
index 961f2749dd..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q21.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,nation
-SELECT
-  s_name,
-  count(*) AS numwait
-FROM
-  supplier,
-  lineitem l1,
-  orders,
-  nation
-WHERE
-  s_suppkey = l1.l_suppkey
-  AND o_orderkey = l1.l_orderkey
-  AND o_orderstatus = 'F'
-  AND l1.l_receiptdate > l1.l_commitdate
-  AND exists(
-    SELECT *
-    FROM
-      lineitem l2
-    WHERE
-      l2.l_orderkey = l1.l_orderkey
-      AND l2.l_suppkey <> l1.l_suppkey
-  )
-  AND NOT exists(
-    SELECT *
-    FROM
-      lineitem l3
-    WHERE
-      l3.l_orderkey = l1.l_orderkey
-      AND l3.l_suppkey <> l1.l_suppkey
-      AND l3.l_receiptdate > l3.l_commitdate
-  )
-  AND s_nationkey = n_nationkey
-  AND n_name = 'SAUDI ARABIA'
-GROUP BY
-  s_name
-ORDER BY
-  numwait DESC,
-  s_name
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/sql/q22.sql b/regression-test/suites/datev2/tpch_sf1_p2/sql/q22.sql
deleted file mode 100644
index 01da180458..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/sql/q22.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: orders,customer
-SELECT
-  cntrycode,
-  count(*)       AS numcust,
-  sum(c_acctbal) AS totacctbal
-FROM (
-       SELECT
-         substr(c_phone, 1, 2) AS cntrycode,
-         c_acctbal
-       FROM
-         customer
-       WHERE
-         substr(c_phone, 1, 2) IN
-         ('13', '31', '23', '29', '30', '18', '17')
-         AND c_acctbal > (
-           SELECT avg(c_acctbal)
-           FROM
-             customer
-           WHERE
-             c_acctbal > 0.00
-             AND substr(c_phone, 1, 2) IN
-                 ('13', '31', '23', '29', '30', '18', '17')
-         )
-         AND NOT exists(
-           SELECT *
-           FROM
-             orders
-           WHERE
-             o_custkey = c_custkey
-         )
-     ) AS custsale
-GROUP BY
-  cntrycode
-ORDER BY
-  cntrycode
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/create_table.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/create_table.sql
deleted file mode 100644
index 324b167fc8..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/create_table.sql
+++ /dev/null
@@ -1,10 +0,0 @@
-CREATE TABLE IF NOT EXISTS gavin_test (
-    id bigint,
-    name char(16),
-    score bigint
-)
-DUPLICATE KEY(id, name)
-DISTRIBUTED BY HASH(id) BUCKETS 1
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/customer.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/customer.sql
deleted file mode 100644
index 00b1b98d48..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/customer.sql
+++ /dev/null
@@ -1,16 +0,0 @@
-CREATE TABLE IF NOT EXISTS customer (
-  C_CUSTKEY     INTEGER NOT NULL,
-  C_NAME        VARCHAR(25) NOT NULL,
-  C_ADDRESS     VARCHAR(40) NOT NULL,
-  C_NATIONKEY   INTEGER NOT NULL,
-  C_PHONE       CHAR(15) NOT NULL,
-  C_ACCTBAL     DECIMAL(15,2)   NOT NULL,
-  C_MKTSEGMENT  CHAR(10) NOT NULL,
-  C_COMMENT     VARCHAR(117) NOT NULL
-)
-DUPLICATE KEY(C_CUSTKEY, C_NAME)
-DISTRIBUTED BY HASH(C_CUSTKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/customer_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/customer_delete.sql
deleted file mode 100644
index a214fe920c..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/customer_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE FROM customer where C_CUSTKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/lineitem.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/lineitem.sql
deleted file mode 100644
index 2b4cb77143..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/lineitem.sql
+++ /dev/null
@@ -1,24 +0,0 @@
-CREATE TABLE IF NOT EXISTS lineitem (
-  L_ORDERKEY    INTEGER NOT NULL,
-  L_PARTKEY     INTEGER NOT NULL,
-  L_SUPPKEY     INTEGER NOT NULL,
-  L_LINENUMBER  INTEGER NOT NULL,
-  L_QUANTITY    DECIMAL(15,2) NOT NULL,
-  L_EXTENDEDPRICE  DECIMAL(15,2) NOT NULL,
-  L_DISCOUNT    DECIMAL(15,2) NOT NULL,
-  L_TAX         DECIMAL(15,2) NOT NULL,
-  L_RETURNFLAG  CHAR(1) NOT NULL,
-  L_LINESTATUS  CHAR(1) NOT NULL,
-  L_SHIPDATE    DATE NOT NULL,
-  L_COMMITDATE  DATE NOT NULL,
-  L_RECEIPTDATE DATE NOT NULL,
-  L_SHIPINSTRUCT CHAR(25) NOT NULL,
-  L_SHIPMODE     CHAR(10) NOT NULL,
-  L_COMMENT      VARCHAR(44) NOT NULL
-)
-DUPLICATE KEY(L_ORDERKEY, L_PARTKEY, L_SUPPKEY, L_LINENUMBER)
-DISTRIBUTED BY HASH(L_ORDERKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/lineitem_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/lineitem_delete.sql
deleted file mode 100644
index 6dbbe49ed0..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/lineitem_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE from lineitem where L_ORDERKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/nation.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/nation.sql
deleted file mode 100644
index 3eccc0dc97..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/nation.sql
+++ /dev/null
@@ -1,12 +0,0 @@
-CREATE TABLE IF NOT EXISTS nation  (
-  N_NATIONKEY  INTEGER NOT NULL,
-  N_NAME       CHAR(25) NOT NULL,
-  N_REGIONKEY  INTEGER NOT NULL,
-  N_COMMENT    VARCHAR(152)
-)
-DUPLICATE KEY(N_NATIONKEY, N_NAME)
-DISTRIBUTED BY HASH(N_NATIONKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/nation_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/nation_delete.sql
deleted file mode 100644
index 9fb7c085a6..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/nation_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-DELETE from nation where N_NATIONKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/orders.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/orders.sql
deleted file mode 100644
index caeaa34150..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/orders.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-CREATE TABLE IF NOT EXISTS orders  (
-  O_ORDERKEY       INTEGER NOT NULL,
-  O_CUSTKEY        INTEGER NOT NULL,
-  O_ORDERSTATUS    CHAR(1) NOT NULL,
-  O_TOTALPRICE     DECIMAL(15,2) NOT NULL,
-  O_ORDERDATE      DATE NOT NULL,
-  O_ORDERPRIORITY  CHAR(15) NOT NULL,  
-  O_CLERK          CHAR(15) NOT NULL, 
-  O_SHIPPRIORITY   INTEGER NOT NULL,
-  O_COMMENT        VARCHAR(79) NOT NULL
-)
-DUPLICATE KEY(O_ORDERKEY, O_CUSTKEY)
-DISTRIBUTED BY HASH(O_ORDERKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/orders_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/orders_delete.sql
deleted file mode 100644
index 5199d8f296..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/orders_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from orders where O_ORDERKEY >= 0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/part.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/part.sql
deleted file mode 100644
index 994b6e66d5..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/part.sql
+++ /dev/null
@@ -1,17 +0,0 @@
-CREATE TABLE IF NOT EXISTS part (
-  P_PARTKEY     INTEGER NOT NULL,
-  P_NAME        VARCHAR(55) NOT NULL,
-  P_MFGR        CHAR(25) NOT NULL,
-  P_BRAND       CHAR(10) NOT NULL,
-  P_TYPE        VARCHAR(25) NOT NULL,
-  P_SIZE        INTEGER NOT NULL,
-  P_CONTAINER   CHAR(10) NOT NULL,
-  P_RETAILPRICE DECIMAL(15,2) NOT NULL,
-  P_COMMENT     VARCHAR(23) NOT NULL 
-)
-DUPLICATE KEY(P_PARTKEY, P_NAME)
-DISTRIBUTED BY HASH(P_PARTKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/part_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/part_delete.sql
deleted file mode 100644
index ee1a2e5104..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/part_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from part where P_PARTKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/partsupp.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/partsupp.sql
deleted file mode 100644
index be186a29db..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/partsupp.sql
+++ /dev/null
@@ -1,13 +0,0 @@
-CREATE TABLE IF NOT EXISTS partsupp (
-  PS_PARTKEY     INTEGER NOT NULL,
-  PS_SUPPKEY     INTEGER NOT NULL,
-  PS_AVAILQTY    INTEGER NOT NULL,
-  PS_SUPPLYCOST  DECIMAL(15,2)  NOT NULL,
-  PS_COMMENT     VARCHAR(199) NOT NULL 
-)
-DUPLICATE KEY(PS_PARTKEY, PS_SUPPKEY)
-DISTRIBUTED BY HASH(PS_PARTKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/partsupp_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/partsupp_delete.sql
deleted file mode 100644
index 067cff3a6f..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/partsupp_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from partsupp where PS_PARTKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/region.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/region.sql
deleted file mode 100644
index fbe34c05c6..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/region.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-CREATE TABLE IF NOT EXISTS region (
-  R_REGIONKEY  INTEGER NOT NULL,
-  R_NAME       CHAR(25) NOT NULL,
-  R_COMMENT    VARCHAR(152)
-)
-DUPLICATE KEY(R_REGIONKEY, R_NAME)
-DISTRIBUTED BY HASH(R_REGIONKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/region_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/region_delete.sql
deleted file mode 100644
index 4945d5105a..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/region_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from region where R_REGIONKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/revenue1.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/revenue1.sql
deleted file mode 100644
index a12a60a284..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/revenue1.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-CREATE VIEW IF NOT EXISTS revenue1 AS
-  SELECT
-    l_suppkey AS supplier_no,
-    sum(l_extendedprice * (1 - l_discount)) AS total_revenue
-  FROM
-    lineitem
-  WHERE
-    l_shipdate >= DATE '1996-01-01'
-    AND l_shipdate < DATE '1996-01-01' + INTERVAL '3' MONTH
-GROUP BY
-  l_suppkey;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/revenue1_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/revenue1_delete.sql
deleted file mode 100644
index c2ee91a38a..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/revenue1_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-drop view IF EXISTS revenue1;
\ No newline at end of file
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/supplier.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/supplier.sql
deleted file mode 100644
index 7214eaebd1..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/supplier.sql
+++ /dev/null
@@ -1,14 +0,0 @@
-CREATE TABLE IF NOT EXISTS supplier (
-  S_SUPPKEY     INTEGER NOT NULL,
-  S_NAME        CHAR(25) NOT NULL,
-  S_ADDRESS     VARCHAR(40) NOT NULL,
-  S_NATIONKEY   INTEGER NOT NULL,
-  S_PHONE       CHAR(15) NOT NULL,
-  S_ACCTBAL     DECIMAL(15,2) NOT NULL,
-  S_COMMENT     VARCHAR(101) NOT NULL
-)
-DUPLICATE KEY(S_SUPPKEY, S_NAME)
-DISTRIBUTED BY HASH(S_SUPPKEY) BUCKETS 3
-PROPERTIES (
-  "replication_num" = "1"
-)
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/supplier_delete.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/supplier_delete.sql
deleted file mode 100644
index d8327a8f85..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/ddl/supplier_delete.sql
+++ /dev/null
@@ -1 +0,0 @@
-delete from supplier where S_SUPPKEY>=0;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/load.groovy b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/load.groovy
deleted file mode 100644
index 395cdd3e34..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/load.groovy
+++ /dev/null
@@ -1,118 +0,0 @@
-// Licensed to the Apache Software Foundation (ASF) under one
-// or more contributor license agreements.  See the NOTICE file
-// distributed with this work for additional information
-// regarding copyright ownership.  The ASF licenses this file
-// to you under the Apache License, Version 2.0 (the
-// "License"); you may not use this file except in compliance
-// with the License.  You may obtain a copy of the License at
-//
-//   http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing,
-// software distributed under the License is distributed on an
-// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-// KIND, either express or implied.  See the License for the
-// specific language governing permissions and limitations
-// under the License.
-
-// Most of the cases are copied from https://github.com/trinodb/trino/tree/master
-// /testing/trino-product-tests/src/main/resources/sql-tests/testcases
-// and modified by Doris.
-
-// syntax error:
-// q06 q13 q15
-// Test 23 suites, failed 3 suites
-
-// Note: To filter out tables from sql files, use the following one-liner comamnd
-// sed -nr 's/.*tables: (.*)$/\1/gp' /path/to/*.sql | sed -nr 's/,/\n/gp' | sort | uniq
-suite("load") {
-    def tables = ["customer", "lineitem", "nation", "orders", "part", "partsupp", "region", "supplier"]
-
-//    for (String table in tables) {
-//        sql """ DROP TABLE IF EXISTS $table """
-//    }
-
-    for (String table in tables) {
-        sql new File("""${context.file.parent}/ddl/${table}.sql""").text
-        sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
-    }
-
-    for (String tableName in tables) {
-        streamLoad {
-            // a default db 'regression_test' is specified in
-            // ${DORIS_HOME}/conf/regression-conf.groovy
-            table tableName
-
-            // default label is UUID:
-            // set 'label' UUID.randomUUID().toString()
-
-            // default column_separator is specify in doris fe config, usually is '\t'.
-            // this line change to ','
-            set 'column_separator', '|'
-            set 'compress_type', 'GZ'
-
-            // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
-            // also, you can stream load a http stream, e.g. http://xxx/some.csv
-            file """${getS3Url()}/regression/tpch/sf1/${tableName}.csv.split00.gz"""
-
-            time 10000 // limit inflight 10s
-
-            // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
-
-            // if declared a check callback, the default check condition will ignore.
-            // So you must check all condition
-            check { result, exception, startTime, endTime ->
-                if (exception != null) {
-                    throw exception
-                }
-                log.info("Stream load result: ${result}".toString())
-                def json = parseJson(result)
-                assertEquals("success", json.Status.toLowerCase())
-                assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
-                assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
-            }
-        }
-        streamLoad {
-            // a default db 'regression_test' is specified in
-            // ${DORIS_HOME}/conf/regression-conf.groovy
-            table tableName
-
-            // default label is UUID:
-            // set 'label' UUID.randomUUID().toString()
-
-            // default column_separator is specify in doris fe config, usually is '\t'.
-            // this line change to ','
-            set 'column_separator', '|'
-            set 'compress_type', 'GZ'
-
-
-            // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
-            // also, you can stream load a http stream, e.g. http://xxx/some.csv
-            file """${getS3Url()}/regression/tpch/sf1/${tableName}.csv.split01.gz"""
-
-            time 10000 // limit inflight 10s
-
-            // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
-
-            // if declared a check callback, the default check condition will ignore.
-            // So you must check all condition
-            check { result, exception, startTime, endTime ->
-                if (exception != null) {
-                    throw exception
-                }
-                log.info("Stream load result: ${result}".toString())
-                def json = parseJson(result)
-                assertEquals("success", json.Status.toLowerCase())
-                assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
-                assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
-            }
-        }
-    }
-
-    def table = "revenue1"
-    sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text
-    sql new File("""${context.file.parent}/ddl/${table}.sql""").text
-    // We need wait to make sure BE could pass the stats info to FE so that
-    // avoid unnessary inconsistent generated plan which would cause the regression test fail
-    sleep(60000)
-}
\ No newline at end of file
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q01.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q01.sql
deleted file mode 100644
index 7b20cc9feb..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q01.sql
+++ /dev/null
@@ -1,22 +0,0 @@
--- tables: lineitem
-SELECT
-  l_returnflag,
-  l_linestatus,
-  sum(l_quantity)                                       AS sum_qty,
-  sum(l_extendedprice)                                  AS sum_base_price,
-  sum(l_extendedprice * (1 - l_discount))               AS sum_disc_price,
-  sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge,
-  avg(l_quantity)                                       AS avg_qty,
-  avg(l_extendedprice)                                  AS avg_price,
-  avg(l_discount)                                       AS avg_disc,
-  count(*)                                              AS count_order
-FROM
-  lineitem
-WHERE
-  l_shipdate <= DATE '1998-12-01' - INTERVAL '90' DAY
-GROUP BY
-l_returnflag,
-l_linestatus
-ORDER BY
-l_returnflag,
-l_linestatus
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q02.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q02.sql
deleted file mode 100644
index 8c60ec1929..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q02.sql
+++ /dev/null
@@ -1,42 +0,0 @@
--- tables: part,supplier,partsupp,nation,region
-SELECT
-  s_acctbal,
-  s_name,
-  n_name,
-  p_partkey,
-  p_mfgr,
-  s_address,
-  s_phone,
-  s_comment
-FROM
-  part,
-  supplier,
-  partsupp,
-  nation,
-  region
-WHERE
-  p_partkey = ps_partkey
-  AND s_suppkey = ps_suppkey
-  AND p_size = 15
-  AND p_type LIKE '%BRASS'
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'EUROPE'
-  AND ps_supplycost = (
-    SELECT min(ps_supplycost)
-    FROM
-      partsupp, supplier,
-      nation, region
-    WHERE
-      p_partkey = ps_partkey
-      AND s_suppkey = ps_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_regionkey = r_regionkey
-      AND r_name = 'EUROPE'
-  )
-ORDER BY
-  s_acctbal DESC,
-  n_name,
-  s_name,
-  p_partkey
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q03.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q03.sql
deleted file mode 100644
index e689d3cbb0..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q03.sql
+++ /dev/null
@@ -1,24 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT
-  l_orderkey,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  o_orderdate,
-  o_shippriority
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  c_mktsegment = 'BUILDING'
-  AND c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate < DATE '1995-03-15'
-  AND l_shipdate > DATE '1995-03-15'
-GROUP BY
-  l_orderkey,
-  o_orderdate,
-  o_shippriority
-ORDER BY
-  revenue DESC,
-  o_orderdate
-LIMIT 10
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q04.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q04.sql
deleted file mode 100644
index c4c7925eb7..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q04.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: orders,lineitem
-SELECT
-  o_orderpriority,
-  count(*) AS order_count
-FROM orders
-WHERE
-  o_orderdate >= DATE '1993-07-01'
-  AND o_orderdate < DATE '1993-07-01' + INTERVAL '3' MONTH
-AND EXISTS (
-SELECT *
-FROM lineitem
-WHERE
-l_orderkey = o_orderkey
-AND l_commitdate < l_receiptdate
-)
-GROUP BY
-o_orderpriority
-ORDER BY
-o_orderpriority
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q05.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q05.sql
deleted file mode 100644
index 059725c12a..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q05.sql
+++ /dev/null
@@ -1,25 +0,0 @@
--- tables: customer,orders,lineitem,supplier,nation,region
-SELECT
-  n_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  customer,
-  orders,
-  lineitem,
-  supplier,
-  nation,
-  region
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND l_suppkey = s_suppkey
-  AND c_nationkey = s_nationkey
-  AND s_nationkey = n_nationkey
-  AND n_regionkey = r_regionkey
-  AND r_name = 'ASIA'
-  AND o_orderdate >= DATE '1994-01-01'
-  AND o_orderdate < DATE '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-n_name
-ORDER BY
-revenue DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q06.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q06.sql
deleted file mode 100644
index e81a352c24..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q06.sql
+++ /dev/null
@@ -1,11 +0,0 @@
--- tables: lineitem
-
-SELECT sum(l_extendedprice * l_discount) AS revenue
-FROM
-  lineitem
-WHERE
-  l_shipdate >= DATE '1994-01-01'
-  AND l_shipdate < DATE '1994-01-01' + INTERVAL '1' YEAR
-AND l_discount BETWEEN 0.06 - 0.01 AND .06 + 0.01
-AND l_quantity < 24
-
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q07.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q07.sql
deleted file mode 100644
index edeaf35f7f..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q07.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,customer,nation
-SELECT
-  supp_nation,
-  cust_nation,
-  l_year,
-  sum(volume) AS revenue
-FROM (
-       SELECT
-         n1.n_name                          AS supp_nation,
-         n2.n_name                          AS cust_nation,
-         extract(YEAR FROM l_shipdate)      AS l_year,
-         l_extendedprice * (1 - l_discount) AS volume
-       FROM
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2
-       WHERE
-         s_suppkey = l_suppkey
-         AND o_orderkey = l_orderkey
-         AND c_custkey = o_custkey
-         AND s_nationkey = n1.n_nationkey
-         AND c_nationkey = n2.n_nationkey
-         AND (
-           (n1.n_name = 'FRANCE' AND n2.n_name = 'GERMANY')
-           OR (n1.n_name = 'GERMANY' AND n2.n_name = 'FRANCE')
-         )
-         AND l_shipdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31'
-     ) AS shipping
-GROUP BY
-  supp_nation,
-  cust_nation,
-  l_year
-ORDER BY
-  supp_nation,
-  cust_nation,
-  l_year
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q08.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q08.sql
deleted file mode 100644
index 2657711d79..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q08.sql
+++ /dev/null
@@ -1,38 +0,0 @@
--- tables: part,supplier,lineitem,orders,customer,nation,region
-SELECT
-  o_year,
-  sum(CASE
-      WHEN nation = 'BRAZIL'
-        THEN volume
-      ELSE 0
-      END) / sum(volume) AS mkt_share
-FROM (
-       SELECT
-         extract(YEAR FROM o_orderdate)     AS o_year,
-         l_extendedprice * (1 - l_discount) AS volume,
-         n2.n_name                          AS nation
-       FROM
-         part,
-         supplier,
-         lineitem,
-         orders,
-         customer,
-         nation n1,
-         nation n2,
-         region
-       WHERE
-         p_partkey = l_partkey
-         AND s_suppkey = l_suppkey
-         AND l_orderkey = o_orderkey
-         AND o_custkey = c_custkey
-         AND c_nationkey = n1.n_nationkey
-         AND n1.n_regionkey = r_regionkey
-         AND r_name = 'AMERICA'
-         AND s_nationkey = n2.n_nationkey
-         AND o_orderdate BETWEEN DATE '1995-01-01' AND DATE '1996-12-31'
-         AND p_type = 'ECONOMY ANODIZED STEEL'
-     ) AS all_nations
-GROUP BY
-  o_year
-ORDER BY
-  o_year
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q09.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q09.sql
deleted file mode 100644
index 9236941881..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q09.sql
+++ /dev/null
@@ -1,32 +0,0 @@
--- tables: part,supplier,lineitem,partsupp,orders,nation
-SELECT
-  nation,
-  o_year,
-  sum(amount) AS sum_profit
-FROM (
-       SELECT
-         n_name                                                          AS nation,
-         extract(YEAR FROM o_orderdate)                                  AS o_year,
-         l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount
-       FROM
-         part,
-         supplier,
-         lineitem,
-         partsupp,
-         orders,
-         nation
-       WHERE
-         s_suppkey = l_suppkey
-         AND ps_suppkey = l_suppkey
-         AND ps_partkey = l_partkey
-         AND p_partkey = l_partkey
-         AND o_orderkey = l_orderkey
-         AND s_nationkey = n_nationkey
-         AND p_name LIKE '%green%'
-     ) AS profit
-GROUP BY
-  nation,
-  o_year
-ORDER BY
-  nation,
-  o_year DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q10.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q10.sql
deleted file mode 100644
index 965bc17b3c..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q10.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: customer,orders,lineitem,nation
-SELECT
-  c_custkey,
-  c_name,
-  sum(l_extendedprice * (1 - l_discount)) AS revenue,
-  c_acctbal,
-  n_name,
-  c_address,
-  c_phone,
-  c_comment
-FROM
-  customer,
-  orders,
-  lineitem,
-  nation
-WHERE
-  c_custkey = o_custkey
-  AND l_orderkey = o_orderkey
-  AND o_orderdate >= DATE '1993-10-01'
-  AND o_orderdate < DATE '1993-10-01' + INTERVAL '3' MONTH
-  AND l_returnflag = 'R'
-  AND c_nationkey = n_nationkey
-GROUP BY
-  c_custkey,
-  c_name,
-  c_acctbal,
-  c_phone,
-  n_name,
-  c_address,
-  c_comment
-ORDER BY
-  revenue DESC
-LIMIT 20
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q11.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q11.sql
deleted file mode 100644
index 18856461ea..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q11.sql
+++ /dev/null
@@ -1,28 +0,0 @@
--- tables: partsupp,supplier,nation
-SELECT
-  ps_partkey,
-  sum(ps_supplycost * ps_availqty) AS value
-FROM
-  partsupp,
-  supplier,
-  nation
-WHERE
-  ps_suppkey = s_suppkey
-  AND s_nationkey = n_nationkey
-  AND n_name = 'GERMANY'
-GROUP BY
-  ps_partkey
-HAVING
-  sum(ps_supplycost * ps_availqty) > (
-    SELECT sum(ps_supplycost * ps_availqty) * 0.0001
-    FROM
-      partsupp,
-      supplier,
-      nation
-    WHERE
-      ps_suppkey = s_suppkey
-      AND s_nationkey = n_nationkey
-      AND n_name = 'GERMANY'
-  )
-ORDER BY
-  value DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q12.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q12.sql
deleted file mode 100644
index 3312d53dc4..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q12.sql
+++ /dev/null
@@ -1,29 +0,0 @@
--- tables: orders,lineitem
-SELECT
-  l_shipmode,
-  sum(CASE
-      WHEN o_orderpriority = '1-URGENT'
-           OR o_orderpriority = '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS high_line_count,
-  sum(CASE
-      WHEN o_orderpriority <> '1-URGENT'
-           AND o_orderpriority <> '2-HIGH'
-        THEN 1
-      ELSE 0
-      END) AS low_line_count
-FROM
-  orders,
-  lineitem
-WHERE
-  o_orderkey = l_orderkey
-  AND l_shipmode IN ('MAIL', 'SHIP')
-  AND l_commitdate < l_receiptdate
-  AND l_shipdate < l_commitdate
-  AND l_receiptdate >= DATE '1994-01-01'
-  AND l_receiptdate < DATE '1994-01-01' + INTERVAL '1' YEAR
-GROUP BY
-  l_shipmode
-ORDER BY
-  l_shipmode
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q13.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q13.sql
deleted file mode 100644
index f7d69a955f..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q13.sql
+++ /dev/null
@@ -1,21 +0,0 @@
--- tables: customer
-SELECT
-  c_count,
-  count(*) AS custdist
-FROM (
-       SELECT
-         c_custkey,
-         count(o_orderkey) AS c_count
-       FROM
-         customer
-         LEFT OUTER JOIN orders ON
-                                  c_custkey = o_custkey
-                                  AND o_comment NOT LIKE '%special%requests%'
-       GROUP BY
-         c_custkey
-     ) AS c_orders
-GROUP BY
-  c_count
-ORDER BY
-  custdist DESC,
-  c_count DESC
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q14.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q14.sql
deleted file mode 100644
index 8fb3730bc2..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q14.sql
+++ /dev/null
@@ -1,13 +0,0 @@
--- tables: lineitem,part
-SELECT 100.00 * sum(CASE
-                    WHEN p_type LIKE 'PROMO%'
-                      THEN l_extendedprice * (1 - l_discount)
-                    ELSE 0
-                    END) / sum(l_extendedprice * (1 - l_discount)) AS promo_revenue
-FROM
-  lineitem,
-  part
-WHERE
-  l_partkey = p_partkey
-  AND l_shipdate >= DATE '1995-09-01'
-  AND l_shipdate < DATE '1995-09-01' + INTERVAL '1' MONTH
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q15.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q15.sql
deleted file mode 100644
index 74e2c08e09..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q15.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- tables: lineitem,supplier
-SELECT
-  s_suppkey,
-  s_name,
-  s_address,
-  s_phone,
-  total_revenue
-FROM
-  supplier,
-  revenue1
-WHERE
-  s_suppkey = supplier_no
-  AND total_revenue = (
-    SELECT max(total_revenue)
-    FROM
-      revenue1
-  )
-ORDER BY
-  s_suppkey;
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q16.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q16.sql
deleted file mode 100644
index 277777cb13..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q16.sql
+++ /dev/null
@@ -1,30 +0,0 @@
--- tables: partsupp,part,supplier
-SELECT
-  p_brand,
-  p_type,
-  p_size,
-  count(DISTINCT ps_suppkey) AS supplier_cnt
-FROM
-  partsupp,
-  part
-WHERE
-  p_partkey = ps_partkey
-  AND p_brand <> 'Brand#45'
-  AND p_type NOT LIKE 'MEDIUM POLISHED%'
-  AND p_size IN (49, 14, 23, 45, 19, 3, 36, 9)
-  AND ps_suppkey NOT IN (
-    SELECT s_suppkey
-    FROM
-      supplier
-    WHERE
-      s_comment LIKE '%Customer%Complaints%'
-  )
-GROUP BY
-  p_brand,
-  p_type,
-  p_size
-ORDER BY
-  supplier_cnt DESC,
-  p_brand,
-  p_type,
-  p_size
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q17.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q17.sql
deleted file mode 100644
index c37f2ceedb..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q17.sql
+++ /dev/null
@@ -1,16 +0,0 @@
--- tables: lineitem,part
-SELECT sum(l_extendedprice) / 7.0 AS avg_yearly
-FROM
-  lineitem,
-  part
-WHERE
-  p_partkey = l_partkey
-  AND p_brand = 'Brand#23'
-  AND p_container = 'MED BOX'
-  AND l_quantity < (
-    SELECT 0.2 * avg(l_quantity)
-    FROM
-      lineitem
-    WHERE
-      l_partkey = p_partkey
-  )
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q18.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q18.sql
deleted file mode 100644
index 98db1d6046..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q18.sql
+++ /dev/null
@@ -1,34 +0,0 @@
--- tables: customer,orders,lineitem
-SELECT
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice,
-  sum(l_quantity)
-FROM
-  customer,
-  orders,
-  lineitem
-WHERE
-  o_orderkey IN (
-    SELECT l_orderkey
-    FROM
-      lineitem
-    GROUP BY
-      l_orderkey
-    HAVING
-      sum(l_quantity) > 300
-  )
-  AND c_custkey = o_custkey
-  AND o_orderkey = l_orderkey
-GROUP BY
-  c_name,
-  c_custkey,
-  o_orderkey,
-  o_orderdate,
-  o_totalprice
-ORDER BY
-  o_totalprice DESC,
-  o_orderdate
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q19.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q19.sql
deleted file mode 100644
index c4e107cd68..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q19.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: lineitem,part
-SELECT sum(l_extendedprice * (1 - l_discount)) AS revenue
-FROM
-  lineitem,
-  part
-WHERE
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#12'
-    AND p_container IN ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
-    AND l_quantity >= 1 AND l_quantity <= 1 + 10
-    AND p_size BETWEEN 1 AND 5
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#23'
-    AND p_container IN ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
-    AND l_quantity >= 10 AND l_quantity <= 10 + 10
-    AND p_size BETWEEN 1 AND 10
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
-  OR
-  (
-    p_partkey = l_partkey
-    AND p_brand = 'Brand#34'
-    AND p_container IN ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
-    AND l_quantity >= 20 AND l_quantity <= 20 + 10
-    AND p_size BETWEEN 1 AND 15
-    AND l_shipmode IN ('AIR', 'AIR REG')
-    AND l_shipinstruct = 'DELIVER IN PERSON'
-  )
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q20.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q20.sql
deleted file mode 100644
index 6d4ef5bcfc..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q20.sql
+++ /dev/null
@@ -1,33 +0,0 @@
--- tables: supplier,nation,partsupp,lineitem,part
-SELECT
-  s_name,
-  s_address
-FROM
-  supplier, nation
-WHERE
-  s_suppkey IN (
-    SELECT ps_suppkey
-    FROM
-      partsupp
-    WHERE
-      ps_partkey IN (
-        SELECT p_partkey
-        FROM
-          part
-        WHERE
-          p_name LIKE 'forest%'
-      )
-      AND ps_availqty > (
-        SELECT 0.5 * sum(l_quantity)
-        FROM
-          lineitem
-        WHERE
-          l_partkey = ps_partkey
-          AND l_suppkey = ps_suppkey
-          AND l_shipdate >= date('1994-01-01')
-          AND l_shipdate < date('1994-01-01') + interval '1' YEAR
-)
-)
-AND s_nationkey = n_nationkey
-AND n_name = 'CANADA'
-ORDER BY s_name
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q21.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q21.sql
deleted file mode 100644
index 961f2749dd..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q21.sql
+++ /dev/null
@@ -1,39 +0,0 @@
--- tables: supplier,lineitem,orders,nation
-SELECT
-  s_name,
-  count(*) AS numwait
-FROM
-  supplier,
-  lineitem l1,
-  orders,
-  nation
-WHERE
-  s_suppkey = l1.l_suppkey
-  AND o_orderkey = l1.l_orderkey
-  AND o_orderstatus = 'F'
-  AND l1.l_receiptdate > l1.l_commitdate
-  AND exists(
-    SELECT *
-    FROM
-      lineitem l2
-    WHERE
-      l2.l_orderkey = l1.l_orderkey
-      AND l2.l_suppkey <> l1.l_suppkey
-  )
-  AND NOT exists(
-    SELECT *
-    FROM
-      lineitem l3
-    WHERE
-      l3.l_orderkey = l1.l_orderkey
-      AND l3.l_suppkey <> l1.l_suppkey
-      AND l3.l_receiptdate > l3.l_commitdate
-  )
-  AND s_nationkey = n_nationkey
-  AND n_name = 'SAUDI ARABIA'
-GROUP BY
-  s_name
-ORDER BY
-  numwait DESC,
-  s_name
-LIMIT 100
diff --git a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q22.sql b/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q22.sql
deleted file mode 100644
index 01da180458..0000000000
--- a/regression-test/suites/datev2/tpch_sf1_p2/tpch_sf1/sql/q22.sql
+++ /dev/null
@@ -1,35 +0,0 @@
--- tables: orders,customer
-SELECT
-  cntrycode,
-  count(*)       AS numcust,
-  sum(c_acctbal) AS totacctbal
-FROM (
-       SELECT
-         substr(c_phone, 1, 2) AS cntrycode,
-         c_acctbal
-       FROM
-         customer
-       WHERE
-         substr(c_phone, 1, 2) IN
-         ('13', '31', '23', '29', '30', '18', '17')
-         AND c_acctbal > (
-           SELECT avg(c_acctbal)
-           FROM
-             customer
-           WHERE
-             c_acctbal > 0.00
-             AND substr(c_phone, 1, 2) IN
-                 ('13', '31', '23', '29', '30', '18', '17')
-         )
-         AND NOT exists(
-           SELECT *
-           FROM
-             orders
-           WHERE
-             o_custkey = c_custkey
-         )
-     ) AS custsale
-GROUP BY
-  cntrycode
-ORDER BY
-  cntrycode
diff --git a/tools/clickbench-tools/sql/create-clickbench-table.sql b/tools/clickbench-tools/sql/create-clickbench-table.sql
index 62a2d5769c..406473931e 100644
--- a/tools/clickbench-tools/sql/create-clickbench-table.sql
+++ b/tools/clickbench-tools/sql/create-clickbench-table.sql
@@ -17,9 +17,9 @@
 
 CREATE TABLE IF NOT EXISTS hits (
     CounterID INT NOT NULL, 
-    EventDate Datev2 NOT NULL,
+    EventDate Date NOT NULL,
     UserID BIGINT NOT NULL, 
-    EventTime DateTimev2 NOT NULL,
+    EventTime DateTime NOT NULL,
     WatchID BIGINT NOT NULL, 
     JavaEnable SMALLINT NOT NULL,
     Title STRING NOT NULL,
@@ -61,7 +61,7 @@ CREATE TABLE IF NOT EXISTS hits (
     WindowClientWidth SMALLINT NOT NULL,
     WindowClientHeight SMALLINT NOT NULL,
     ClientTimeZone SMALLINT NOT NULL,
-    ClientEventTime DateTimev2 NOT NULL,
+    ClientEventTime DateTime NOT NULL,
     SilverlightVersion1 SMALLINT NOT NULL,
     SilverlightVersion2 SMALLINT NOT NULL,
     SilverlightVersion3 INT NOT NULL,
@@ -80,7 +80,7 @@ CREATE TABLE IF NOT EXISTS hits (
     DontCountHits SMALLINT NOT NULL,
     WithHash SMALLINT NOT NULL,
     HitColor CHAR NOT NULL,
-    LocalEventTime DateTimev2 NOT NULL,
+    LocalEventTime DateTime NOT NULL,
     Age SMALLINT NOT NULL,
     Sex SMALLINT NOT NULL,
     Income SMALLINT NOT NULL,
diff --git a/tools/ssb-tools/ddl/create-ssb-flat-table.sql b/tools/ssb-tools/ddl/create-ssb-flat-table.sql
index c68d2f6b26..b1e1681a94 100644
--- a/tools/ssb-tools/ddl/create-ssb-flat-table.sql
+++ b/tools/ssb-tools/ddl/create-ssb-flat-table.sql
@@ -31,7 +31,7 @@ CREATE TABLE IF NOT EXISTS `lineorder_flat` (
   `LO_REVENUE` int(11) NOT NULL COMMENT "",
   `LO_SUPPLYCOST` int(11) NOT NULL COMMENT "",
   `LO_TAX` tinyint(4) NOT NULL COMMENT "",
-  `LO_COMMITDATE` datev2 NOT NULL COMMENT "",
+  `LO_COMMITDATE` date NOT NULL COMMENT "",
   `LO_SHIPMODE` varchar(100) NOT NULL COMMENT "",
   `C_NAME` varchar(100) NOT NULL COMMENT "",
   `C_ADDRESS` varchar(100) NOT NULL COMMENT "",
diff --git a/tools/tpch-tools/ddl/create-tpch-tables.sql b/tools/tpch-tools/ddl/create-tpch-tables.sql
index 1f12a442e2..247cc3ae29 100644
--- a/tools/tpch-tools/ddl/create-tpch-tables.sql
+++ b/tools/tpch-tools/ddl/create-tpch-tables.sql
@@ -17,7 +17,7 @@
 
 drop table if exists lineitem;
 CREATE TABLE lineitem (
-    l_shipdate    DATEV2 NOT NULL,
+    l_shipdate    DATE NOT NULL,
     l_orderkey    bigint NOT NULL,
     l_linenumber  int not null,
     l_partkey     int NOT NULL,
@@ -28,8 +28,8 @@ CREATE TABLE lineitem (
     l_tax         decimalv3(15, 2) NOT NULL,
     l_returnflag  VARCHAR(1) NOT NULL,
     l_linestatus  VARCHAR(1) NOT NULL,
-    l_commitdate  DATEV2 NOT NULL,
-    l_receiptdate DATEV2 NOT NULL,
+    l_commitdate  DATE NOT NULL,
+    l_receiptdate DATE NOT NULL,
     l_shipinstruct VARCHAR(25) NOT NULL,
     l_shipmode     VARCHAR(10) NOT NULL,
     l_comment      VARCHAR(44) NOT NULL
@@ -45,7 +45,7 @@ PROPERTIES (
 drop table if exists orders;
 CREATE TABLE orders  (
     o_orderkey       bigint NOT NULL,
-    o_orderdate      DATEV2 NOT NULL,
+    o_orderdate      DATE NOT NULL,
     o_custkey        int NOT NULL,
     o_orderstatus    VARCHAR(1) NOT NULL,
     o_totalprice     decimalv3(15, 2) NOT NULL,