[Chore](regression) Fix wrong result for decimal (#13644)
This commit is contained in:
Gabriel
@ -1223,6 +1223,11 @@ public class FunctionCallExpr extends Expr {
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}
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}
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if (this.type.isDecimalV2()) {
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this.type = Type.MAX_DECIMALV2_TYPE;
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fn.setReturnType(Type.MAX_DECIMALV2_TYPE);
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}
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if (this.type.isDecimalV3()) {
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// DECIMAL need to pass precision and scale to be
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if (DECIMAL_FUNCTION_SET.contains(fn.getFunctionName().getFunction())
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@ -0,0 +1,7 @@
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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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-- !q01 --
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A F 37734107.000000000 56586554400.730000000 53758257134.870000000 55909065222.827692000 25.522005853 38273.129734622 0.049985296 1478493
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N F 991417.000000000 1487504710.380000000 1413082168.054100000 1469649223.194375000 25.516471921 38284.467760848 0.050093427 38854
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N O 74476040.000000000 111701729697.740000000 106118230307.605600000 110367043872.497010000 25.502226770 38249.117988908 0.049996586 2920374
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R F 37719753.000000000 56568041380.900000000 53741292684.604000000 55889619119.831932000 25.505793613 38250.854626100 0.050009406 1478870
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103
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q02.out
Normal file
103
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q02.out
Normal file
@ -0,0 +1,103 @@
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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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-- !q02 --
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13
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q03.out
Normal file
13
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q03.out
Normal file
@ -0,0 +1,13 @@
|
||||
-- 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
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||||
3459808 405838.698900000 1995-03-04 0
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492164 390324.061000000 1995-02-19 0
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1188320 384537.935900000 1995-03-09 0
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2435712 378673.055800000 1995-02-26 0
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4878020 378376.795200000 1995-03-12 0
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5521732 375153.921500000 1995-03-13 0
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2628192 373133.309400000 1995-02-22 0
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993600 371407.459500000 1995-03-05 0
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2300070 367371.145200000 1995-03-13 0
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||||
@ -0,0 +1,8 @@
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||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q04 --
|
||||
1-URGENT 10594
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||||
2-HIGH 10476
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||||
3-MEDIUM 10410
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||||
4-NOT SPECIFIED 10556
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||||
5-LOW 10487
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|
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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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-- !q05 --
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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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-- !q06 --
|
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123141078.228300000
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|
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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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-- !q07 --
|
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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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-- !q08 --
|
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1995 0.034435890
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|
||||
178
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q09.out
Normal file
178
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q09.out
Normal file
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||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q09 --
|
||||
ALGERIA 1998 27136900.180300000
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ARGENTINA 1998 28341663.784800000
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BRAZIL 1998 26527736.396000000
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CANADA 1998 26828985.394400000
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CANADA 1995 47311993.044100000
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CHINA 1998 27510180.165700000
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CHINA 1994 46397896.609700000
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CHINA 1992 46949457.642600000
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EGYPT 1998 28401491.796800000
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EGYPT 1992 47000574.502700000
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ETHIOPIA 1998 25135046.137700000
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FRANCE 1998 26210392.280400000
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INDIA 1998 29626417.237900000
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IRAN 1998 26661608.930100000
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UNITED KINGDOM 1998 26366682.878600000
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VIETNAM 1994 47729256.332400000
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||||
VIETNAM 1992 47846355.648500000
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|
||||
23
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q10.out
Normal file
23
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q10.out
Normal file
@ -0,0 +1,23 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q10 --
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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
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||||
1051
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q11.out
Normal file
1051
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q11.out
Normal file
File diff suppressed because it is too large
Load Diff
@ -0,0 +1,5 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q12 --
|
||||
MAIL 6202 9324
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||||
SHIP 6200 9262
|
||||
|
||||
45
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q13.out
Normal file
45
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q13.out
Normal file
@ -0,0 +1,45 @@
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||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q13 --
|
||||
0 50005
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||||
9 6641
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10 6532
|
||||
11 6014
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||||
8 5937
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||||
13 5024
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||||
19 4793
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||||
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||||
17 4587
|
||||
18 4529
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||||
20 4516
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||||
15 4505
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||||
14 4446
|
||||
16 4273
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||||
21 4190
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||||
22 3623
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||||
6 3265
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||||
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||||
24 2742
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||||
25 2086
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||||
5 1948
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||||
26 1612
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||||
27 1179
|
||||
4 1007
|
||||
28 893
|
||||
29 593
|
||||
3 415
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||||
30 376
|
||||
31 226
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||||
32 148
|
||||
2 134
|
||||
33 75
|
||||
34 50
|
||||
35 37
|
||||
1 17
|
||||
36 14
|
||||
38 5
|
||||
37 5
|
||||
40 4
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||||
41 2
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||||
39 1
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||||
|
||||
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|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q14 --
|
||||
16.380778626
|
||||
|
||||
@ -0,0 +1,4 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q15 --
|
||||
8449 Supplier#000008449 Wp34zim9qYFbVctdW 20-469-856-8873 1772627.208700000
|
||||
|
||||
18317
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q16.out
Normal file
18317
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q16.out
Normal file
File diff suppressed because it is too large
Load Diff
@ -0,0 +1,4 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q17 --
|
||||
348406.054285714
|
||||
|
||||
60
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q18.out
Normal file
60
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q18.out
Normal file
@ -0,0 +1,60 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q18 --
|
||||
Customer#000128120 128120 4722021 1994-04-07 544089.09 323.000000000
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||||
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10
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q22.out
Normal file
10
regression-test/data/datev2/tpch_sf1_p1/tpch_sf1/sql/q22.out
Normal file
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||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q22 --
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||||
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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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||||
-- !q03 --
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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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-- !q05 --
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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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-- !q07 --
|
||||
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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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-- !q08 --
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1995 0.034435890
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|
||||
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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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-- !q09 --
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||||
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||||
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||||
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|
||||
|
||||
@ -1,23 +1,23 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q10 --
|
||||
57040 Customer#000057040 734235.2455 632.87 JAPAN Eioyzjf4pp 22-895-641-3466 sits. slyly regular requests sleep alongside of the regular inst
|
||||
143347 Customer#000143347 721002.6948 2557.47 EGYPT 1aReFYv,Kw4 14-742-935-3718 ggle carefully enticing requests. final deposits use bold, bold pinto beans. ironic, idle re
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||||
60838 Customer#000060838 679127.3077 2454.77 BRAZIL 64EaJ5vMAHWJlBOxJklpNc2RJiWE 12-913-494-9813 need to boost against the slyly regular account
|
||||
101998 Customer#000101998 637029.5667 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 633508.086 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 620269.7849 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
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||||
115831 Customer#000115831 596423.8672 5098.1 FRANCE rFeBbEEyk dl ne7zV5fDrmiq1oK09wV7pxqCgIc 16-715-386-3788 l somas sleep. furiously final deposits wake blithely regular pinto b
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||||
84223 Customer#000084223 594998.0239 528.65 UNITED KINGDOM nAVZCs6BaWap rrM27N 2qBnzc5WBauxbA 33-442-824-8191 slyly final deposits haggle regular, pending dependencies. pending escapades wake
|
||||
54289 Customer#000054289 585603.3918 5583.02 IRAN vXCxoCsU0Bad5JQI ,oobkZ 20-834-292-4707 ely special foxes are quickly finally ironic p
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39922 Customer#000039922 584878.1134 7321.11 GERMANY Zgy4s50l2GKN4pLDPBU8m342gIw6R 17-147-757-8036 y final requests. furiously final foxes cajole blithely special platelets. f
|
||||
6226 Customer#000006226 576783.7606 2230.09 UNITED KINGDOM 8gPu8,NPGkfyQQ0hcIYUGPIBWc,ybP5g, 33-657-701-3391 ending platelets along the express deposits cajole carefully final
|
||||
922 Customer#000000922 576767.5333 3869.25 GERMANY Az9RFaut7NkPnc5zSD2PwHgVwr4jRzq 17-945-916-9648 luffily fluffy deposits. packages c
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|
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|
||||
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|
||||
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|
||||
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|
||||
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
|
||||
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|
||||
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
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,4 +1,4 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q15 --
|
||||
8449 Supplier#000008449 Wp34zim9qYFbVctdW 20-469-856-8873 1772627.2087
|
||||
8449 Supplier#000008449 Wp34zim9qYFbVctdW 20-469-856-8873 1772627.208700000
|
||||
|
||||
|
||||
@ -1,60 +1,60 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q18 --
|
||||
Customer#000128120 128120 4722021 1994-04-07 544089.09 323
|
||||
Customer#000144617 144617 3043270 1997-02-12 530604.44 317
|
||||
Customer#000013940 13940 2232932 1997-04-13 522720.61 304
|
||||
Customer#000066790 66790 2199712 1996-09-30 515531.82 327
|
||||
Customer#000046435 46435 4745607 1997-07-03 508047.99 309
|
||||
Customer#000015272 15272 3883783 1993-07-28 500241.33 302
|
||||
Customer#000146608 146608 3342468 1994-06-12 499794.58 303
|
||||
Customer#000096103 96103 5984582 1992-03-16 494398.79 312
|
||||
Customer#000024341 24341 1474818 1992-11-15 491348.26 302
|
||||
Customer#000137446 137446 5489475 1997-05-23 487763.25 311
|
||||
Customer#000107590 107590 4267751 1994-11-04 485141.38 301
|
||||
Customer#000050008 50008 2366755 1996-12-09 483891.26 302
|
||||
Customer#000015619 15619 3767271 1996-08-07 480083.96 318
|
||||
Customer#000077260 77260 1436544 1992-09-12 479499.43 307
|
||||
Customer#000109379 109379 5746311 1996-10-10 478064.11 302
|
||||
Customer#000054602 54602 5832321 1997-02-09 471220.08 307
|
||||
Customer#000105995 105995 2096705 1994-07-03 469692.58 307
|
||||
Customer#000148885 148885 2942469 1992-05-31 469630.44 313
|
||||
Customer#000114586 114586 551136 1993-05-19 469605.59 308
|
||||
Customer#000105260 105260 5296167 1996-09-06 469360.57 303
|
||||
Customer#000147197 147197 1263015 1997-02-02 467149.67 320
|
||||
Customer#000064483 64483 2745894 1996-07-04 466991.35 304
|
||||
Customer#000136573 136573 2761378 1996-05-31 461282.73 301
|
||||
Customer#000016384 16384 502886 1994-04-12 458378.92 312
|
||||
Customer#000117919 117919 2869152 1996-06-20 456815.92 317
|
||||
Customer#000012251 12251 735366 1993-11-24 455107.26 309
|
||||
Customer#000120098 120098 1971680 1995-06-14 453451.23 308
|
||||
Customer#000066098 66098 5007490 1992-08-07 453436.16 304
|
||||
Customer#000117076 117076 4290656 1997-02-05 449545.85 301
|
||||
Customer#000129379 129379 4720454 1997-06-07 448665.79 303
|
||||
Customer#000126865 126865 4702759 1994-11-07 447606.65 320
|
||||
Customer#000088876 88876 983201 1993-12-30 446717.46 304
|
||||
Customer#000036619 36619 4806726 1995-01-17 446704.09 328
|
||||
Customer#000141823 141823 2806245 1996-12-29 446269.12 310
|
||||
Customer#000053029 53029 2662214 1993-08-13 446144.49 302
|
||||
Customer#000018188 18188 3037414 1995-01-25 443807.22 308
|
||||
Customer#000066533 66533 29158 1995-10-21 443576.5 305
|
||||
Customer#000037729 37729 4134341 1995-06-29 441082.97 309
|
||||
Customer#000003566 3566 2329187 1998-01-04 439803.36 304
|
||||
Customer#000045538 45538 4527553 1994-05-22 436275.31 305
|
||||
Customer#000081581 81581 4739650 1995-11-04 435405.9 305
|
||||
Customer#000119989 119989 1544643 1997-09-20 434568.25 320
|
||||
Customer#000003680 3680 3861123 1998-07-03 433525.97 301
|
||||
Customer#000113131 113131 967334 1995-12-15 432957.75 301
|
||||
Customer#000141098 141098 565574 1995-09-24 430986.69 301
|
||||
Customer#000093392 93392 5200102 1997-01-22 425487.51 304
|
||||
Customer#000015631 15631 1845057 1994-05-12 419879.59 302
|
||||
Customer#000112987 112987 4439686 1996-09-17 418161.49 305
|
||||
Customer#000012599 12599 4259524 1998-02-12 415200.61 304
|
||||
Customer#000105410 105410 4478371 1996-03-05 412754.51 302
|
||||
Customer#000149842 149842 5156581 1994-05-30 411329.35 302
|
||||
Customer#000010129 10129 5849444 1994-03-21 409129.85 309
|
||||
Customer#000069904 69904 1742403 1996-10-19 408513 305
|
||||
Customer#000017746 17746 6882 1997-04-09 408446.93 303
|
||||
Customer#000013072 13072 1481925 1998-03-15 399195.47 301
|
||||
Customer#000082441 82441 857959 1994-02-07 382579.74 305
|
||||
Customer#000088703 88703 2995076 1994-01-30 363812.12 302
|
||||
Customer#000128120 128120 4722021 1994-04-07 544089.09 323.000000000
|
||||
Customer#000144617 144617 3043270 1997-02-12 530604.44 317.000000000
|
||||
Customer#000013940 13940 2232932 1997-04-13 522720.61 304.000000000
|
||||
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
|
||||
Customer#000096103 96103 5984582 1992-03-16 494398.79 312.000000000
|
||||
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
|
||||
Customer#000120098 120098 1971680 1995-06-14 453451.23 308.000000000
|
||||
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
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q19 --
|
||||
3083843.0578
|
||||
3083843.057800000
|
||||
|
||||
|
||||
@ -1,10 +1,10 @@
|
||||
-- This file is automatically generated. You should know what you did if you want to edit this
|
||||
-- !q22 --
|
||||
13 888 6737713.99
|
||||
17 861 6460573.72
|
||||
18 964 7236687.4
|
||||
23 892 6701457.95
|
||||
29 948 7158866.63
|
||||
30 909 6808436.13
|
||||
31 922 6806670.18
|
||||
13 888 6737713.990000000
|
||||
17 861 6460573.720000000
|
||||
18 964 7236687.400000000
|
||||
23 892 6701457.950000000
|
||||
29 948 7158866.630000000
|
||||
30 909 6808436.130000000
|
||||
31 922 6806670.180000000
|
||||
|
||||
|
||||
@ -0,0 +1,10 @@
|
||||
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"
|
||||
)
|
||||
@ -0,0 +1,16 @@
|
||||
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"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
DELETE FROM customer where C_CUSTKEY >= 0;
|
||||
@ -0,0 +1,24 @@
|
||||
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"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
DELETE from lineitem where L_ORDERKEY >= 0;
|
||||
@ -0,0 +1,12 @@
|
||||
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"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
DELETE from nation where N_NATIONKEY >= 0;
|
||||
@ -0,0 +1,17 @@
|
||||
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"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
delete from orders where O_ORDERKEY >= 0;
|
||||
@ -0,0 +1,17 @@
|
||||
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"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
delete from part where P_PARTKEY>=0;
|
||||
@ -0,0 +1,13 @@
|
||||
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"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
delete from partsupp where PS_PARTKEY>=0;
|
||||
@ -0,0 +1,11 @@
|
||||
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"
|
||||
)
|
||||
|
||||
@ -0,0 +1 @@
|
||||
delete from region where R_REGIONKEY>=0;
|
||||
@ -0,0 +1,11 @@
|
||||
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;
|
||||
@ -0,0 +1 @@
|
||||
drop view IF EXISTS revenue1;
|
||||
@ -0,0 +1,14 @@
|
||||
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"
|
||||
)
|
||||
@ -0,0 +1 @@
|
||||
delete from supplier where S_SUPPKEY>=0;
|
||||
117
regression-test/suites/datev2/tpch_sf1_p1/tpch_sf1/load.groovy
Normal file
117
regression-test/suites/datev2/tpch_sf1_p1/tpch_sf1/load.groovy
Normal file
@ -0,0 +1,117 @@
|
||||
// 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 ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
|
||||
// also, you can stream load a http stream, e.g. http://xxx/some.csv
|
||||
file """${context.sf1DataPath}/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 ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
|
||||
// also, you can stream load a http stream, e.g. http://xxx/some.csv
|
||||
file """${context.sf1DataPath}/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)
|
||||
}
|
||||
@ -0,0 +1,22 @@
|
||||
-- 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
|
||||
@ -0,0 +1,42 @@
|
||||
-- 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
|
||||
@ -0,0 +1,24 @@
|
||||
-- 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
|
||||
@ -0,0 +1,19 @@
|
||||
-- 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
|
||||
@ -0,0 +1,25 @@
|
||||
-- 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
|
||||
@ -0,0 +1,11 @@
|
||||
-- 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
|
||||
|
||||
@ -0,0 +1,39 @@
|
||||
-- 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
|
||||
@ -0,0 +1,38 @@
|
||||
-- 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
|
||||
@ -0,0 +1,32 @@
|
||||
-- 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
|
||||
@ -0,0 +1,33 @@
|
||||
-- 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
|
||||
@ -0,0 +1,28 @@
|
||||
-- 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
|
||||
@ -0,0 +1,29 @@
|
||||
-- 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
|
||||
@ -0,0 +1,21 @@
|
||||
-- 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
|
||||
@ -0,0 +1,13 @@
|
||||
-- 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
|
||||
@ -0,0 +1,19 @@
|
||||
-- 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;
|
||||
@ -0,0 +1,30 @@
|
||||
-- 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
|
||||
@ -0,0 +1,16 @@
|
||||
-- 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
|
||||
)
|
||||
@ -0,0 +1,34 @@
|
||||
-- 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
|
||||
@ -0,0 +1,35 @@
|
||||
-- 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'
|
||||
)
|
||||
@ -0,0 +1,33 @@
|
||||
-- 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
|
||||
@ -0,0 +1,39 @@
|
||||
-- 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
|
||||
@ -0,0 +1,35 @@
|
||||
-- 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
|
||||
Reference in New Issue
Block a user