From a4a5dae7dcbc7e58ee2f37f61c21619daec3cabe Mon Sep 17 00:00:00 2001 From: Yongqiang YANG <98214048+dataroaring@users.noreply.github.com> Date: Fri, 16 Sep 2022 17:38:23 +0800 Subject: [PATCH] [enhancement](test) add tpcds_sf100 to p2 cases (#12296) --- .../data/tpcds_sf100_p2/sql/q01.out | 103 + .../data/tpcds_sf100_p2/sql/q02.out | 2516 ++++++ .../data/tpcds_sf100_p2/sql/q03.out | 103 + .../data/tpcds_sf100_p2/sql/q04.out | 103 + .../data/tpcds_sf100_p2/sql/q05.out | 103 + .../data/tpcds_sf100_p2/sql/q06.out | 55 + .../data/tpcds_sf100_p2/sql/q07.out | 103 + .../data/tpcds_sf100_p2/sql/q08.out | 13 + .../data/tpcds_sf100_p2/sql/q09.out | 4 + .../data/tpcds_sf100_p2/sql/q10.out | 103 + .../data/tpcds_sf100_p2/sql/q11.out | 103 + .../data/tpcds_sf100_p2/sql/q12.out | 103 + .../data/tpcds_sf100_p2/sql/q13.out | 4 + .../data/tpcds_sf100_p2/sql/q14_1.out | 103 + .../data/tpcds_sf100_p2/sql/q14_2.out | 103 + .../data/tpcds_sf100_p2/sql/q15.out | 103 + .../data/tpcds_sf100_p2/sql/q16.out 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Patient, other homes pour carefully loca AL 1 44.0 \N \N 1 30.0 \N \N 1 97.0 \N \N +AAAAAAAAINKBDAAA Games laugh at least severe miles. As a matter o SC 1 41.0 \N \N 1 15.0 \N \N 1 5.0 \N \N +AAAAAAAAJEAHCAAA Actions show educational, upper points. Jobs should reduce only calls; none the less whole bishops want then over a years; alm OH 1 45.0 \N \N 1 1.0 \N \N 1 8.0 \N \N +AAAAAAAAJJPMBAAA Months ought to occur so. Armies act about busy, professional privileges. Subjects run into a scenes. Other pounds may not m SC 1 73.0 \N \N 1 54.0 \N \N 1 13.0 \N \N +AAAAAAAAKANOBAAA Numbers could not score institutions. A LA 1 4.0 \N \N 1 2.0 \N \N 1 19.0 \N \N +AAAAAAAAKCGCAAAA Northern bacteria used to know seemingly houses. Other, desperate groups could like so. Small proposals put public, effective forces; small parties should lo MI 1 10.0 \N \N 1 5.0 \N \N 1 17.0 \N \N +AAAAAAAAKJMADAAA However elderly parents would run. Musical, great drivers implement less in a rules. 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Available 1 28.0 \N \N 1 16.0 \N \N 1 58.0 \N \N +AAAAAAAAOPILCAAA I LA 1 89.0 \N \N 1 22.0 \N \N 1 3.0 \N \N +AAAAAAAAOPOFBAAA Very part-time models collect times; now video-taped copies raise still important breasts; specially consistent regulations ought to bite never deliberately neutral schools. Particularly SD 1 86.0 \N \N 1 23.0 \N \N 1 18.0 \N \N +AAAAAAAAPDEAAAAA Private, other years would create spontaneously pregnant services. Br LA 1 84.0 \N \N 1 12.0 \N \N 1 24.0 \N \N + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q18.out b/regression-test/data/tpcds_sf100_p2/sql/q18.out new file mode 100644 index 0000000000..d85c2b9e89 --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q18.out @@ -0,0 +1,103 @@ +-- This file is automatically generated. You should know what you did if you want to edit this +-- !q18 -- +\N \N \N \N 50.442751283 100.920241518 251.003417023 50.501894976 -246.775535728 1957.936765443 2.977984454 +AAAAAAAAAAAABAAA \N \N \N 34 178.94 0 162.83 2693.14 1992 3 +AAAAAAAAAAABBAAA \N \N \N 30.5 171.935 0 75.255 1064.97 1973 4 +AAAAAAAAAAABDAAA \N \N \N 57.333333333 70.12 289.166666667 15.983333333 -996.306666667 1976.666666667 1.333333333 +AAAAAAAAAAACAAAA \N \N \N 50 112.91 0 83.55 951.5 1979 4 +AAAAAAAAAAACCAAA \N \N \N 72 102.46 2434.44 51.23 -2309.88 1942 2 +AAAAAAAAAAADBAAA \N \N \N 16 48.84 0 25.39 129.12 1965 4 +AAAAAAAAAAADCAAA \N \N \N 98 174.84 0 31.47 -3742.62 1952 6 +AAAAAAAAAAAEAAAA \N \N \N 56 21.39 0 19.2 -151.305 1985 0.5 +AAAAAAAAAAAEBAAA \N \N \N 60 3.34 0 0.9 -19.2 1986 4 +AAAAAAAAAAAFAAAA \N \N \N 44 72.075 61.145 40.265 -1647.225 1931 3.5 +AAAAAAAAAAAFCAAA \N \N \N 58 95.885 0 45.61 -19.58 1958.5 3 +AAAAAAAAAAAGBAAA \N \N \N 65 184.03 0 3.68 -4507.75 1986 0 +AAAAAAAAAAAHAAAA \N \N \N 30.5 51.155 17.29 45.42 219.35 1949.75 3.25 +AAAAAAAAAAAHBAAA \N \N \N 44.666666667 100.703333333 1480.29 39.036666667 -2697.743333333 1967 2.666666667 +AAAAAAAAAAAICAAA \N \N \N 52 148.515 1695.225 39.86 -968.915 1974.5 3 +AAAAAAAAAAAJBAAA \N \N \N 82.5 64.785 0.66 58.07 1818.715 1952.5 4.5 +AAAAAAAAAAAJCAAA \N \N \N 46 199.97 0 101.98 471.5 1930 6 +AAAAAAAAAAAKAAAA \N \N \N 14 88.6 0 21.26 -279.3 1973 1 +AAAAAAAAAAAMBAAA \N \N \N 50 63.9075 591.305 40.1175 -507.91 1956.25 2.75 +AAAAAAAAAAAMCAAA \N \N \N 57 14.62 0 12.57 416.67 1952 0 +AAAAAAAAAAANAAAA \N \N \N 61.666666667 48.253333333 190.19 27.833333333 -322.9 1950.333333333 4 +AAAAAAAAAAANBAAA \N \N \N 15 233.43 0 102.7 373.35 1961 1 +AAAAAAAAAAAPBAAA \N \N \N 13 89.88 0 76.39 258.18 1924 2 +AAAAAAAAAAAPCAAA \N \N \N 53 67.715 0 22.815 -2152.545 1960.5 1 +AAAAAAAAAABAAAAA \N \N \N 47.5 134.425 0 89.38 3192.77 1967 3.5 +AAAAAAAAAABABAAA \N \N \N 38 50.11 0 6.845 -434.2 1954.5 1 +AAAAAAAAAABADAAA \N \N \N 17 3.41 0 0.34 -41.48 1967 4 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0 49.08 -2032.78 1984 5 +AAAAAAAAAADHAAAA \N \N \N 40 167.97 0 166.29 4252 1931 6 +AAAAAAAAAADHBAAA \N \N \N 35 260.4 0 174.46 2919.35 1960 5 +AAAAAAAAAADIAAAA \N \N \N 60 175.22 0 152.44 3782.4 1939 2 +AAAAAAAAAADLCAAA \N \N \N 46 61.435 0 29.76 -61.68 1963.5 3 +AAAAAAAAAADMCAAA \N \N \N 17 245.41 788.91 149.7 238.91 1988 4 +AAAAAAAAAADNAAAA \N \N \N 6.5 44.835 0 14.525 -11.15 1956.5 2 +AAAAAAAAAADNBAAA \N \N \N 58 50.56 1210.48 43.48 -1173.94 1947 2 +AAAAAAAAAADOAAAA \N \N \N 48 81.87 0 35.52 -1148.18 1965 3.5 +AAAAAAAAAADOCAAA \N \N \N 26 44.68 0 5.36 -265.46 \N 0 +AAAAAAAAAADPCAAA \N \N \N 42.333333333 133.216666667 253.606666667 55.853333333 -1252.96 1958 3.666666667 +AAAAAAAAAAEAAAAA \N \N \N 46.666666667 57.96 102.143333333 10.463333333 -483.77 1967.666666667 4.666666667 + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q19.out b/regression-test/data/tpcds_sf100_p2/sql/q19.out new file mode 100644 index 0000000000..747db5ee89 --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q19.out @@ -0,0 +1,103 @@ +-- This file is automatically generated. You should know what you did if you want to edit this +-- !q19 -- +1003001 exportiamalg #1 162 ablecallyought 381293.34 +3002002 importoexporti #2 581 oughteinganti 368790.17 +4004001 edu packedu pack #1 257 ationantiable 345807.21 +3002001 importoexporti #1 287 ationeingable 330794.35 +1001001 amalgamalg #1 644 eseesecally 330487.59 +1002001 importoamalg #1 126 callyableought 325859.3 +3003002 exportiexporti #2 161 oughtcallyought 324746.82 +5002002 importoscholar #2 503 pribaranti 317177.81 +1004001 edu packamalg #1 222 ableableable 314327.75 +2002001 importoimporto #1 186 callyeingought 311620.01 +3003002 exportiexporti #2 217 ationoughtable 310753.53 +3003001 exportiexporti #1 264 esecallyable 307686.61 +3001001 amalgexporti #1 6 cally 302818.92 +2002001 importoimporto #1 100 barbarought 301310.99 +2004001 edu packimporto #1 331 oughtpripri 295748.22 +3003001 exportiexporti #1 209 n stbarable 286656.37 +2002001 importoimporto #1 179 n stationought 283047.13 +1003002 exportiamalg #2 400 barbarese 243652.22 +9013005 exportiunivamalg #5 586 callyeinganti 232003.74 +1004002 edu packamalg #2 297 ationn stable 230980.03 +6016007 corpbrand #7 185 antieingought 227243.26 +5003001 exportischolar #1 41 oughtese 225648.71 +8005007 scholarnameless #7 26 callyable 225240.53 +1003001 exportiamalg #1 666 callycallycally 225185.19 +3003001 exportiexporti #1 456 callyantiese 224362.23 +1002002 importoamalg #2 342 ableesepri 224177.29 +1003002 exportiamalg #2 812 ableoughteing 224068.21 +5004001 edu packscholar #1 595 antin stanti 223132.75 +4004001 edu packedu pack #1 286 callyeingable 222180.75 +2004002 edu packimporto #2 556 callyantianti 222134.82 +5004001 edu packscholar #1 215 antioughtable 221745.97 +7011005 amalgnameless #5 264 esecallyable 220777.22 +9009008 maximaxi #8 855 antiantieing 220151.97 +10014006 edu packamalgamalg #6 116 callyoughtought 218029.45 +1003001 exportiamalg #1 383 prieingpri 217089.59 +8001003 amalgnameless #3 304 esebarpri 216930.29 +3004002 edu packexporti #2 41 oughtese 216705.39 +4001002 amalgedu pack #2 302 ablebarpri 214751.57 +4004002 edu packedu pack #2 78 eingation 213387.63 +1004001 edu packamalg #1 541 oughteseanti 213030.18 +2003001 exportiimporto #1 426 callyableese 212436.51 +9011005 amalgunivamalg #5 329 n stablepri 210493.89 +10010005 univamalgamalg #5 684 eseeingcally 210286.66 +10007014 brandunivamalg #14 134 esepriought 210120.92 +2004001 edu packimporto #1 447 ationeseese 210049.08 +1004002 edu packamalg #2 521 oughtableanti 210014.55 +2004001 edu packimporto #1 5 anti 209979.04 +6010005 univbrand #5 271 oughtationable 209553.75 +4003001 exportiedu pack #1 371 oughtationpri 209171.48 +9011003 amalgunivamalg #3 98 eingn st 208765.88 +6007001 brandcorp #1 255 antiantiable 208667.17 +2001001 amalgimporto #1 52 ableanti 208567.11 +5003001 exportischolar #1 457 ationantiese 208513.76 +9008011 namelessmaxi #11 30 barpri 208309 +2002002 importoimporto #2 229 n stableable 207267.58 +9016005 corpunivamalg #5 294 esen stable 206994.26 +3002002 importoexporti #2 409 n stbarese 206748.26 +4004001 edu packedu pack #1 627 ationablecally 206407.57 +8011003 amalgmaxi #3 683 prieingcally 205814.27 +10001005 amalgunivamalg #5 195 antin stought 204864.67 +5001002 amalgscholar #2 30 barpri 204773.67 +3001001 amalgexporti #1 586 callyeinganti 204752.65 +6006007 corpcorp #7 754 eseantiation 204489.94 +6003001 exporticorp #1 66 callycally 204282.53 +5002001 importoscholar #1 25 antiable 204096.38 +2001002 amalgimporto #2 217 ationoughtable 203960.64 +6002004 importocorp #4 39 n stpri 203372.26 +10008005 namelessunivamalg #5 786 callyeingation 203259.77 +10004003 edu packunivamalg #3 286 callyeingable 203062.81 +2002001 importoimporto #1 602 ablebarcally 203033.33 +9014002 edu packunivamalg #2 174 eseationought 202584.12 +5003001 exportischolar #1 480 bareingese 201831.43 +4004001 edu packedu pack #1 1 ought 201795.59 +3001002 amalgexporti #2 285 antieingable 201780.17 +8015003 scholarmaxi #3 61 oughtcally 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@@ +-- This file is automatically generated. You should know what you did if you want to edit this +-- !q23_1 -- +3190527896.21 + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q23_2.out b/regression-test/data/tpcds_sf100_p2/sql/q23_2.out new file mode 100644 index 0000000000..e492d344e4 --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q23_2.out @@ -0,0 +1,103 @@ +-- This file is automatically generated. 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+Kemp Jesse ese 10955.2 +Kendrick Michael cally 184052.88 +Kennedy Kenneth cally 2899269.6 +Kennedy Richard n st 5363.82 +Kerr April bar 3528 +Kim cally 8731.2 +Kimbrell Jeffrey anti 15286.11 +Kinard n st 23220.56 +Kirk Corey n st 14474.24 +Kirk Terry bar 30359.04 +Klein Anna bar 2401702.38 +Knight anti 79394.7 +Kohl Keren ese 39960 +Kraus Terence cally 7163.2 +Labelle ought 98786.2 +Lackey bar 59271.36 +Lackey Angelo ese 2110480 +Lacy Eric cally 573439.46 +Laflamme eing 38938.9 +Lambert bar 87494.4 +Lambert Sandra anti 14354.34 +Landry ese 83172.6 +Lane Brenda ese 401450.67 +Lane Brian eing 1030038.24 +Lanham cally 26125 +Lanham George cally 124003.44 +Lara anti 29092.14 +Larson Kevin cally 18333 +Larson Marjorie ese 3034040 +Lawler anti 22574.37 +Layton Summer able 422037 +Leavitt Zonia able 17585692.8 +Leblanc cally 125463.8 +Ledesma n st 18421.2 +Lee able 25108.16 +Lee cally 19934.03 +Lee Cathi ese 25424 +Lemke cally 7904.8 +Leon Rodney anti 85363.2 +Lester Karen cally 750804.89 +Lewis Bonnie n st 10598.91 +Lewis Earl anti 147558.6 +Lewis Eric eing 265300.2 +Lewis Lisa able 23458.5 +Lewis Magaret n st 3834643.12 +Lima Ronald eing 927907.2 +Little Jane eing 3995226.18 +Little Ron ese 186372.72 +Lloyd able 40974.08 +Long cally 30008.88 +Loomis Roger cally 19989.12 +Lopez n st 49536.96 +Lopez Justin anti 7825.44 +Lord able 12616.52 +Lovell Billy cally 326702.97 +Lugo Clayton ese 60500 +Lynch cally 26512.86 +Macdonald Margaret able 17592.96 +Maclean bar 26036.64 +Madrigal Justine n st 24091.2 +Maldonado n st 20285.76 +Malone Frank bar 58417.6 +Manning cally 23924.56 +Manning Sharon cally 30579.12 +Mansfield ese 42948.57 +Markley Wm cally 1417546.22 +Marquez Amy able 3336.34 +Marquez Billy ought 16613.2 +Marsh bar 7462.56 +Marsh cally 13115.08 +Marshall cally 67178.05 +Marshall Frank ese 2684.16 +Martin ese 19474.56 +Martin Shawn n st 7162.05 +Martinez ese 13896.57 +Martinez Anthony cally 179445.33 +Mason Jack able 1299311.65 +Mason Miguel anti 140775.39 +Massey Heather eing 1955725.2 +Masters Thomas able 3953129.4 +Mathis Linda cally 9325260.45 +May able 4583.04 +May Spring able 26280.8 +Mazza Brenda able 899464.5 +Mcallister bar 3679.08 +Mccann ese 54550.08 +Mccord Marian n st 33429.27 +Mccoy Antoine eing 56588.4 +Mcdaniel able 52594.08 +Mcdonald Brian cally 3119.16 +Mcdonald Eugena eing 29876.22 +Mckay Linda n st 814713.68 +Mckee eing 10148.16 +Mckee Leonard n st 13936.56 +Mcqueen Glenn eing 373804.2 +Medina Debra cally 26483.96 +Meeks cally 4895.88 +Mejia Marilyn n st 16134.8 +Melvin cally 46716 +Mendez cally 57428.36 +Mercier Carson ought 17404.8 +Messenger Edward cally 49432.8 +Meyer cally 70719 +Michel Francis bar 1054462.86 +Middleton bar 5052.48 +Middleton ese 178392.9 +Miles ese 57712.2 +Miller eing 17532.9 +Miller Anne n st 21757.68 +Miller Bradley able 8232008.4 +Miller Donna able 1342469.7 +Miller Herbert cally 42746.4 +Miner Andrew cally 75347.4 +Mitchell Jose able 64901.62 +Mize cally 4250.4 +Monaco ese 3074.4 +Monahan ought 12608 +Montgomery ese 28733.68 +Moore bar 24336.16 +Moore n st 39070.08 +Moore Bradley eing 100601.82 +Moore Ericka bar 1254099 +Morris Heather bar 7665.57 +Moses Nancy anti 73716.72 +Mosier Heather cally 45110.88 +Mueller ese 9286.2 +Mueller Chad n st 93095.73 +Mull cally 4857.92 +Mullins Thomas cally 36837.64 +Mundy Susan bar 300951.36 +Muniz Carl eing 28977.96 +Murphy anti 115932.6 +Murray Mac able 9618.56 +Myers bar 19296 +Nabors Robert ese 6523.44 +Navarro Jimmy n st 120245.58 +Navarro Sheila n st 174597.12 +Neal Shanna able 7503884.85 +Neff William ese 51180.48 +Nelson Debbie ought 264359.7 +Newton Brian ese 188250 +Newton Nathan cally 13388.76 +Nicholson ese 9449.28 +Nicholson Jacquelyn ese 24816.48 +Nixon Janet ought 144334.2 +Noe Alison bar 3650.88 +Norman Anne ese 9408 +Nunes ese 21717.15 +Ohara able 16990.48 +Oliver Barbara ese 16245.36 +Oneill Katie cally 595839.12 +Ontiveros bar 2667.6 +Oreilly anti 69946.8 +Oreilly Thelma cally 7483.4 +Orourke ese 21281.28 +Ortiz able 9698.92 +Osorio Ryan n st 5197.92 +Pace n st 46809.21 +Padgett Russell ese 77491.05 +Pape David anti 69404.58 +Park cally 4391.2 +Parker bar 3828 +Parks Lisa ese 2038944.6 +Parson cally 14081.98 +Pearson Rhonda n st 2702585.4 +Pelletier Eugene ese 4691.52 +Pelletier Judith ought 140346 +Pemberton Lisa n st 29359 +Pena bar 21115.68 +Perez cally 23360.4 +Perez ese 65494.12 +Perez Velma able 70686 +Perkins Virginia ese 4336.2 +Perry anti 50578.92 +Perry cally 4171.8 +Peterman Kevin bar 33362.52 +Peters Stephanie ese 3979.56 +Petty Maura able 22436.96 +Phillips Jean cally 14544 +Phillips Sharon able 5931783 +Pierce ese 146714.24 +Pierce n st 87769.88 +Pinckney n st 15238.08 +Pinto Jeffrey bar 643273.46 +Piper cally 57532.36 +Pittman Lawrence cally 24710.4 +Pitts able 5689.74 +Pollack Gloria able 188090.1 +Pool Peter ought 654223.5 +Porter Alexander n st 27885.48 +Posey cally 11318.6 +Post n st 22436.19 +Potter bar 16267.56 +Potts cally 22440 +Powell able 12975.2 +Powell ese 12996.06 +Prather anti 3791.97 +Priest bar 4740.12 +Proctor Gloria cally 5062.2 +Pruett David ese 17079.1 +Purdy Irene cally 2926.22 +Purnell Sylvia able 1577205.6 +Pyle Bessie able 69923.84 +Quezada n st 13651.47 +Quintanilla bar 5927.52 +Ragan Robert anti 9832071.6 +Ramirez Betty cally 3168 +Ramirez Freddie ese 18209.76 +Ramirez Theresa cally 9761.4 +Ramos Pat cally 175611.4 +Ramsey Bernice ese 42203.84 +Randall Eddie anti 3957120 +Rasmussen Gloria bar 36456.48 +Ratliff ese 11497.5 +Reed ese 16052.4 +Reed Glenda able 39105.92 +Reeves Joseph ese 17245.92 +Reich Brett anti 2753157.6 +Reilly Bonnie ese 5490 +Reno John ese 3482250 +Reyes ese 6646.2 +Rhodes eing 31218.88 +Rice Matthew ese 1450990 +Richard Edwin cally 86444.93 +Richards Judith anti 58810.5 +Richter Jesus bar 136090.79 +Ricketts Rebecca n st 21225.6 +Rivera bar 29740.56 +Rivera Charles n st 21869.76 +Roberson n st 16500.66 +Roberts Colleen bar 2265457.19 +Robinette n st 37324.32 +Robinson bar 22524.48 +Robinson Gerard ese 13796.64 +Roby ought 100915.2 +Rodriguez ese 24712.38 +Rodriguez n st 42044.94 +Rodriguez Brooke able 19909.5 +Roger Paul ese 3504.96 +Romero n st 39735.36 +Rooney Joseph cally 187633.08 +Rosales anti 16104.06 +Rose able 12495.28 +Ross cally 5142.4 +Rucker William cally 14057.47 +Ruiz Betty bar 6168.24 +Ruiz Mark ese 3482.01 +Rupp Whitney ese 13991.04 +Russell ese 23029.02 +Russell n st 21858.06 +Russell James ese 2042944.74 +Salinas Deborah cally 6192 +Sams ese 51979.2 +Sanchez ese 41336.4 +Sanchez Beth able 288614.7 +Sanders cally 24168 +Sanderson Judith bar 5636572.92 +Santana Donna able 211196.7 +Santiago cally 10988.12 +Santoro Juan able 10185.7 +Sapp ought 8312 +Sauer ought 2940 +Sawyer Jane able 26544.7 +Schaeffer n st 7354.2 +Schneider Kyung able 36267.4 +Schrader bar 10693.28 +Schreiner Evelyn n st 10798953.12 +Schulz cally 4544.76 +Scott able 10341.11 +Scott ese 97508.32 +Scott n st 29438.64 +Scott Yong able 3710.98 +Seaman bar 3609.24 +Sexton ese 113581.44 +Shaffer bar 28250.88 +Shannon Brian able 813126.6 +Shields Victoria able 6883.44 +Shrader Marc anti 9227196 +Shultz Richard ese 20109.6 +Silva Christine eing 2713095 +Simmons ought 82592.2 +Simpson ought 28206.6 +Slagle cally 57037.2 +Smart cally 36695.64 +Smith able 2821 +Smith bar 3360 +Smith cally 40224.12 +Smith eing 7014.7 +Smith ese 128457.92 +Smith n st 10752 +Smith Agnes cally 12882.6 +Smith Danny ese 23252.88 +Smith Henry n st 40632.48 +Smith Jeffrey able 24928.8 +Smith Katherine anti 2297700 +Smith Monique bar 3504.36 +Smith Patty bar 11843161.2 +Snow eing 9712.56 +Snyder n st 246563.1 +Somers cally 5304.85 +Somers n st 7498.26 +Sosa Roberto bar 519555.3 +Sotelo Eric able 26999.96 +Soto Julia ought 31250 +Soto Ralph able 11695.32 +Spellman Lloyd anti 27562.08 +Spence able 9152.26 +Spencer able 47351.64 +Stacy anti 24693.06 +Stahl cally 50300.8 +Starr ese 4381.28 +Steinberg Calvin n st 97402.56 +Stephens ese 26409.18 +Stephens Johnny anti 66624.81 +Stephens Maxine cally 88665.94 +Stevens able 15975.96 +Stewart bar 9029.04 +Stewart Kathryn n st 1137899.85 +Stiltner Mario cally 24521.4 +Story Susana ese 6685.56 +Stovall Hilda able 4193.28 +Strauss ought 43473.6 +Strickland Richard able 1543611.42 +Sutherland cally 3722.49 +Swanson Joshua cally 31469.76 +Tanner Donna ought 55252.6 +Tatum able 6948.24 +Taylor cally 10128.4 +Taylor eing 2237446.86 +Taylor Dinah cally 11781.12 +Taylor Karen able 27480.57 +Temple cally 19908.9 +Terry ese 29971.2 +Thomas bar 239757.92 +Thomas cally 88404.88 +Thomas ese 15883.2 +Thomas Rosie ought 24288 +Thompson Barbara able 7707.18 +Thompson Daniel ese 69885.27 +Thompson Jerri n st 1359909.99 +Thompson Susan eing 4610864.28 +Thorpe Santos eing 6846.84 +Tillman cally 3237 +Tomlinson bar 16080 +Torres Aracely bar 1896205.08 +Trahan n st 83328.3 +Trent cally 8068.8 +Tucker Leora n st 35724.04 +Turner eing 49184.96 +Underwood Kelly ese 4558.05 +Underwood Randy ese 2603052.8 +Vandiver Daniel bar 1704341.1 +Vasquez eing 157973.64 +Vasquez Lee ese 2295066.24 +Vaughn Nolan cally 105346.45 +Vaught Ronald ese 2650.56 +Vera Linda ese 55120 +Wade David anti 64010.31 +Walker cally 45480.5 +Walton able 5067.66 +Ward William cally 7723132.68 +Ware Wendell cally 18705 +Washburn bar 2818.8 +Watson bar 7596.16 +Watson ese 62181.6 +Watson Levi able 8736 +Watts Sharyn ese 2213500 +Weathers ese 54082.08 +Weathers Michelle bar 3057221.2 +Webber Samuel cally 19800.12 +Weeks ese 4811.52 +Weinberg Robert ese 42819.36 +Weiss Isela eing 6268914.63 +Wertz ought 26016 +Whelan Benjamin cally 3898.2 +White anti 62233.92 +White cally 27308.8 +White Jeanette cally 9309.24 +White Kenneth anti 27107.85 +White Sherry ese 7672.96 +White Theresa able 4468.94 +Whitley cally 3237.6 +Whyte Deborah able 9682.4 +Wilber Virginia n st 79142.49 +Wilkes cally 8092.17 +Wilkins ese 3169.32 +Williams able 143738.4 +Williams cally 20701.8 +Williams Abel cally 28217.28 +Williams Beatrice cally 123280.09 +Williams Charles eing 2441909.91 +Williams Eric ese 19896.96 +Williams Nikita anti 20700.75 +Wilson cally 14856.8 +Wilson eing 46839.1 +Wilson n st 36830.86 +Wilson Brenda n st 84638.4 +Wilson Dorothy n st 5118.96 +Wilson Janet n st 7045898.68 +Wilson Michelle able 1068691.47 +Wingate Katie cally 727612.02 +Winn bar 64561.6 +Winston bar 12228.48 +Wise bar 3738 +Wong ought 106310.4 +Wood Billy anti 5944881.6 +Woods Donald anti 158600.4 +Woods Stephanie cally 8570.52 +Woods Stephanie n st 5027.4 +Wooley able 14706.44 +Word ought 34108.8 +Wright able 124848.8 +Wright eing 82754.32 +Wright William ese 1507273.5 +Wu cally 234406.71 +Wynn Randolph ought 3310.2 +Yi anti 7048.44 +Yoon Norma cally 41775.6 +Yoon Norma eing 122074.04 +Young cally 7601.04 +Zimmerman Lakiesha bar 646580.55 + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q24_2.out b/regression-test/data/tpcds_sf100_p2/sql/q24_2.out new file mode 100644 index 0000000000..3ea520018d --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q24_2.out @@ -0,0 +1,155 @@ +-- This file is automatically generated. You should know what you did if you want to edit this +-- !q24_2 -- + able 5445.96 + anti 123569.04 + bar 28714.88 + cally 406061.03 + eing 15095.08 + ese 372910.8 + n st 148248.93 + ought 23103 + Alfredo cally 11528.4 + Andrew cally 4621.98 + Annette ought 48585.2 + Anthony bar 6829.2 + Barbara cally 115192 + Beth cally 20044.8 + Bruce ese 21505.12 + Catherine ese 11488.68 + Charles bar 8155.8 + Charles cally 52558.8 + Clara cally 6422.24 + Cora ese 7393.26 + David cally 22160.52 + Deanna ese 22126.08 + Everett n st 17213.24 + Javier anti 15136.59 + Jennifer able 15426.32 + Jessica bar 5009.76 + Joe ese 46358.64 + Joel ought 17650.6 + John n st 6579.09 + Kevin ese 66556.8 + Kevin n st 4092.48 + Kristen cally 3275 + Kristin ese 9972.96 + Larry ese 17159.04 + Marc ese 41822.55 + Marie bar 21481.68 + Marissa able 8121.96 + Melissa cally 33291.2 + Melissa eing 5069.68 + Michael anti 25935.84 + Nicholas cally 27258 + Patrick n st 4195.84 + Ralph cally 27101.06 + Robert anti 54828.9 + Scott bar 21924 + Shari bar 7038 + Teresa ese 56511.84 + Timothy able 54182.31 + Timothy n st 12709.2 + Tyrone able 8113.14 + Tyson ought 5702 + Virgina cally 66348 + Wallace bar 86020 +Anderson Awilda cally 7342.72 +Bain Daniel n st 9507.08 +Baker cally 8985.6 +Baker Keith ought 615969.9 +Barger Marie ese 13458.84 +Barnhart Robert cally 6930043.18 +Bivins eing 77309.1 +Bradley Sue n st 135508.17 +Brown cally 67507.2 +Brown Jose ought 5832225 +Brown Steve eing 101260.5 +Caldwell Lester ese 147600 +Carver Larry bar 797865.42 +Cobb Michael ese 61207.68 +Collins bar 6753.6 +Cook Ashley bar 11495.4 +Cooper Efrain ese 30725.76 +Crawford Joanne able 12534.34 +Cruz bar 32302.4 +Cuevas Carolyn able 1774580.76 +Davies Walter anti 316872 +Davis bar 24991.2 +Davis Henry cally 18806.04 +Deaton bar 46466.16 +Diaz able 21324.29 +Elias Chrystal able 40709.76 +English Allen ese 226176.93 +Forte David bar 6046.08 +Garcia Danny ought 450949.5 +Gonzalez Esther ought 4176 +Gorman cally 59572.08 +Gray Brenda cally 19264.8 +Green Juan ese 941685.54 +Griffin bar 6004.68 +Hagen Larry ese 775882 +Hall bar 54864 +Haynes anti 41888.7 +Hinkle Katherine ese 504454.6 +Hitchcock bar 3055.32 +Howard Tammy ought 36859.8 +Janssen Joann n st 3194.4 +Johnson able 7903.98 +Jones n st 5360.25 +Jones Priscilla cally 31000 +Kidwell Jerry ought 4639.8 +Lacey Edward cally 25409.56 +Laird bar 25019.2 +Lindberg Robert cally 1314089.7 +Long Michael cally 67357.4 +Lopez n st 69360.72 +Loving ese 34842.4 +Mathis Shawn ese 2473119.42 +Mclaughlin Annette eing 66079.64 +Means cally 27119.84 +Miller Jodi able 1845210.84 +Mitchell bar 4044.6 +Morgan Gregory ese 22743 +Mundy Robert cally 38418 +Newman Brandon anti 49881.51 +Pena n st 26388.6 +Phelan anti 129004.26 +Phillips anti 7673.4 +Poe Loretta cally 6027123.26 +Pritchett Rochelle n st 1996916.67 +Pruitt Scot ese 30013.62 +Pryor Crystal anti 1349298 +Pryor Crystal ese 572639.76 +Ramos Kirsten n st 36206.94 +Reed ese 3120.18 +Rhodes Chad bar 41093.76 +Rhodes Charles eing 231287.76 +Riley Roy ese 9160.32 +Robert Linda ese 6075.52 +Rodriguez Debra bar 3948954.22 +Santos James anti 275097.6 +Scott Harold able 57461.6 +Sharpe Norman bar 63581.76 +Short ought 13336.4 +Smalley John n st 43408.26 +Smith bar 13601.28 +Smith Gloria eing 689298.39 +Stafford James anti 19467 +Sumner Veronica cally 2667.8 +Thompson Sabrina bar 4447984.05 +Tierney bar 27240 +Tomlin Faith bar 11748.48 +Torres Stella cally 3668.6 +Turner David ese 15949.44 +Vann cally 30198.72 +Velez Joe able 21086.8 +Ventura Anthony ese 2567648.55 +Waldron eing 32262.56 +Walker Alberto cally 212031.82 +Williams ese 135988.65 +Williams Inez cally 3602.5 +Winston Christina ese 519623.82 +Wolfe Dennis cally 8070092.8 +Wolff Paul anti 96933.27 +Wood Toni n st 5554.08 + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q25.out b/regression-test/data/tpcds_sf100_p2/sql/q25.out new file mode 100644 index 0000000000..7646a95bf0 --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q25.out @@ -0,0 +1,17 @@ +-- This file is automatically generated. You should know what you did if you want to edit this +-- !q25 -- +AAAAAAAABMIEAAAA Rather general germans go quite so fixed plants. Eyes will admit now. Modern, raw accounts explain certainly genuine areas; wrongly great differences ought to emerge other re AAAAAAAAOHBAAAAA able -1059.12 849.47 -1429.91 +AAAAAAAABPECAAAA So great buildings may not tell dirty, pure keys; already bare days AAAAAAAACJAAAAAA cally 447.66 246.34 93.72 +AAAAAAAACEGDCAAA Secondary, serious parents shall show content bills. Automatic, sexual fees service more potatoes; encouraging procedures could set AAAAAAAALIAAAAAA n st -756.84 406.88 -101.5 +AAAAAAAACJEJCAAA Once interesting approaches provide absolutely little prices. AAAAAAAAPEAAAAAA n st 173.3 281.98 -798.42 +AAAAAAAAEDGEAAAA Dependent, organisational hands smell AAAAAAAAKIBAAAAA ese 541.2 569.83 -629.64 +AAAAAAAAEPAHAAAA Above, public weeks happen nevertheless whole deta AAAAAAAAMFAAAAAA able -2936.84 772.85 -1250.97 +AAAAAAAAGHCJBAAA Central, big advantages succeed powers. Late, red patients will pay for example legal AAAAAAAAKABAAAAA cally -235.8 109.64 415.61 +AAAAAAAAIIMJAAAA Visual engines protect direct always new days. Industrial pictures wear never clear, beneficial things. Ge AAAAAAAAFLAAAAAA ought 288.45 171.97 -4077.82 +AAAAAAAAIPPLAAAA Different minutes ought to secure ever white, new days. Simple years speak so good animals. Old, able words should not cover brilliantly like a charges. Experimental businesses drop far f AAAAAAAAFCAAAAAA ation -981.24 214.93 172.89 +AAAAAAAAJDABAAAA Unique children force essentially fundamental eyes. Acids try rather strictly domestic houses. Even definite weeks used to s AAAAAAAAIOAAAAAA able 443.34 652.26 135.2 +AAAAAAAAKLOOAAAA Tanks would look AAAAAAAAOLAAAAAA bar -2130.65 913.83 -2949.35 +AAAAAAAAKMMOCAAA Unlikely, american fields should identify different members. Large hopes could not follow for instance thick, quick decades. Principal ingredients AAAAAAAAIHBAAAAA cally -1177.73 161.9 1382.72 +AAAAAAAAOOHACAAA Sure institutions investigate without the advertisements. Underlying, local developments may help new, likely circumstances. Fond, unique years prevent near optimistic, co AAAAAAAAJDBAAAAA pri -1408 303.3 -297.75 +AAAAAAAAPODACAAA Still AAAAAAAAJHAAAAAA ought -159.64 105.49 190.53 + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q26.out b/regression-test/data/tpcds_sf100_p2/sql/q26.out new file mode 100644 index 0000000000..7e28ab4364 --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q26.out @@ -0,0 +1,103 @@ +-- This file is automatically generated. You should know what you did if you want to edit this +-- !q26 -- +AAAAAAAAAAAABAAA 31.2 92.36 11.33 51.87 +AAAAAAAAAAAACAAA 79.33333333333333 160.436666667 285.54 101.286666667 +AAAAAAAAAAABAAAA 39.75 81.1 0 32.82 +AAAAAAAAAAABBAAA 36.5 98.04 29.1225 40.755 +AAAAAAAAAAABDAAA 61.2 98.014 0 50.096 +AAAAAAAAAAACAAAA 35.333333333333336 111.721666667 183.258333333 56.751666667 +AAAAAAAAAAACCAAA 48.0 144.7925 1543.61 84.185 +AAAAAAAAAAADBAAA 42.0 130.388333333 0 81.148333333 +AAAAAAAAAAADCAAA 41.2 168.872 239.878 110.332 +AAAAAAAAAAAEAAAA 53.2 122.558 1484.048 66.058 +AAAAAAAAAAAEBAAA 61.25 118.7 4.8875 41.395 +AAAAAAAAAAAFAAAA 41.666666666666664 93.51 0 21.908333333 +AAAAAAAAAAAFCAAA 58.57142857142857 81.097142857 0 30.124285714 +AAAAAAAAAAAGBAAA 51.8 41.756 62 34.612 +AAAAAAAAAAAGCAAA 58.666666666666664 46.923333333 135.67 36.213333333 +AAAAAAAAAAAHAAAA 53.0 156.6575 2320.8975 100.4875 +AAAAAAAAAAAHBAAA 40.25 77.3075 0 32.9375 +AAAAAAAAAAAIAAAA 60.75 119.6425 390.17 100.8975 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\N 2462 +AAAAAAAAABJFIBAA Miss Eva Watson N 8 7 \N Eva.Watson@6.edu \N 3662.56 +AAAAAAAAABJHCAAA Dr. Helen Russell Y 8 1 1951 LIECHTENSTEIN Helen.Russell@0A.org 2452311 2057.3 +AAAAAAAAABJPBAAA Mr. Quintin Morgan Y 29 8 1975 KAZAKHSTAN Quintin.Morgan@af9zyLKBP3pmSOG.edu 2452553 2696.52 +AAAAAAAAABKKEAAA Mrs. Hazel Woodall Y 21 1 1988 NIUE Hazel.Woodall@MNs.org 2452520 5403 +AAAAAAAAABLBCAAA Sir Jack Hansen Y 25 5 1943 JAMAICA Jack.Hansen@XlM8ByDZnTb.edu 2452298 1932.54 +AAAAAAAAABLMLBAA Mr. Earl Smith N 22 6 1949 ECUADOR Earl.Smith@t2iuc9Py.com 2452633 1669.8 +AAAAAAAAABLOJBAA Mr. Alfred Wilson Y 5 10 1952 NICARAGUA Alfred.Wilson@jr.com 2452600 2809.44 +AAAAAAAAABMDMAAA Mr. Mark Jung N 18 11 1972 ANTIGUA AND BARBUDA Mark.Jung@pU5hU2F7oO1p.org 2452291 7844.06 +AAAAAAAAABMKMBAA Ms. Andrea Carson N 17 11 1945 CAMBODIA Andrea.Carson@iFQ5q9.org 2452313 1884.62 +AAAAAAAAABMKMBAA Ms. Andrea Carson N 17 11 1945 CAMBODIA Andrea.Carson@iFQ5q9.org 2452313 7084.05 +AAAAAAAAABNEDAAA Miss Terese Rogers Y 7 3 1977 CUBA Terese.Rogers@B2DvHpu5i.org 2452552 5193.84 +AAAAAAAAABNMIAAA Ms. Roberta Gunn Y 1 2 1924 ARUBA Roberta.Gunn@FuG9deooNx.edu 2452607 4718.67 + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q31.out b/regression-test/data/tpcds_sf100_p2/sql/q31.out new file mode 100644 index 0000000000..fd57ff6fe2 --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q31.out @@ -0,0 +1,278 @@ +-- This file is automatically generated. You should know what you did if you want to edit this +-- !q31 -- +Accomack County 2000 0.965963394 0.92696623 1.926114383 1.83143785 +Ada County 2000 1.021834904 0.942219143 2.018198259 1.798400625 +Adams County 2000 1.045970906 0.955400607 1.875187745 1.817791077 +Alachua County 2000 1.11204807 0.967982114 1.913852637 1.897592116 +Amherst County 2000 0.900602066 0.891586018 2.097049243 2.051617888 +Archuleta County 2000 1.170862531 1.029543894 1.850852534 1.691734774 +Asotin County 2000 1.142556026 0.903600347 2.186257869 1.943027445 +Assumption Parish 2000 0.879594857 0.85611202 2.232087701 1.728603018 +Atoka County 2000 1.211849809 1.038682922 1.53953952 1.418457971 +Austin County 2000 1.225316178 1.024284515 1.803206736 1.75874298 +Barrow County 2000 0.982907295 0.953594866 1.816782117 1.790849801 +Barton County 2000 1.380065379 1.000277094 1.923373405 1.765180488 +Blaine County 2000 1.10806544 1.023387007 1.764644924 1.748145916 +Blue Earth County 2000 0.985351497 0.900489192 2.130019134 1.923593044 +Bond County 2000 1.018115838 0.920396775 2.197680707 1.605792843 +Box Butte County 2000 1.133365689 0.964553013 2.201075712 1.963764121 +Bracken County 2000 1.24208518 0.897061842 1.690055398 1.662878572 +Brazos County 2000 0.954669752 0.941213141 2.186169147 1.885600591 +Broadwater County 2000 0.99536416 0.810975117 2.006729543 1.856328843 +Bronx County 2000 1.108719145 1.018534355 1.958490491 1.677189295 +Brooke County 2000 1.270221214 0.884710297 1.930264385 1.667254327 +Bulloch County 2000 0.827701615 0.816066717 1.94727168 1.732269645 +Burleigh County 2000 1.251097298 0.997121489 1.955492467 1.785211251 +Burleson County 2000 0.992794931 0.858410948 2.21361522 1.91246579 +Butler County 2000 0.969421243 0.962991031 2.039578365 1.804149026 +Cache County 2000 1.068410207 1.00605811 1.942507743 1.937075487 +Caldwell Parish 2000 1.164846906 0.997227908 1.797244905 1.628797947 +Cameron Parish 2000 1.052990325 1.029944379 1.843841376 1.767257949 +Camp County 2000 1.064970518 1.062193155 2.120158403 1.599531217 +Campbell County 2000 1.006930832 0.94748219 2.056667947 1.800596575 +Candler County 2000 1.120395417 1.0508482 1.972438798 1.731024653 +Cape Girardeau County 2000 0.946811223 0.942542711 1.941227392 1.886169245 +Cascade County 2000 1.26630023 0.987918468 1.818982773 1.795361651 +Casey County 2000 0.954358148 0.94367575 2.113166437 1.849932268 +Cavalier County 2000 0.936552584 0.925228622 2.011268587 1.780864872 +Cedar County 2000 1.037359286 0.984699842 1.765808775 1.736812745 +Chambers County 2000 1.14403153 0.984709169 1.825882337 1.739079123 +Charlottesville city 2000 0.958664797 0.893963815 2.109156489 1.610413918 +Chatham County 2000 1.237771618 1.028083783 1.79761362 1.721382067 +Chesapeake city 2000 0.803178943 0.790448461 1.911561941 1.883961395 +Chesterfield County 2000 1.087961872 0.929538218 1.693347574 1.527296803 +Chilton County 2000 0.994203648 0.928274544 2.159056812 1.990885705 +Chippewa County 2000 0.999455076 0.970168509 1.787644729 1.743812253 +Chittenden County 2000 1.02898955 0.981909309 2.149248894 1.491710136 +Clarke County 2000 0.987514761 0.912837194 1.970810387 1.794554527 +Clayton County 2000 1.056645043 0.897041384 1.971592841 1.918924364 +Clermont County 2000 0.979940517 0.970916162 1.936148753 1.904961764 +Clinch County 2000 1.208413864 0.843274855 1.796112367 1.752205795 +Cochran County 2000 1.208912034 0.956309012 1.965029951 1.91413866 +Colonial Heights city 2000 1.102983486 1.082996509 1.6787188 1.64692898 +Columbiana County 2000 0.99326986 0.945686597 1.969392165 1.965067429 +Conecuh County 2000 0.996725755 0.96171676 2.016723346 1.588991418 +Contra Costa County 2000 0.903191166 0.876445624 1.942841218 1.720914834 +Converse County 2000 1.264631815 0.979375645 2.202535124 1.710539678 +Coosa County 2000 1.148046954 1.009521598 2.042246358 1.618500512 +Crawford County 2000 0.952616316 0.896731471 1.937602952 1.808137685 +Cuming County 2000 1.072152369 0.733467797 2.742174236 1.925767356 +Currituck County 2000 1.155074536 1.009606849 1.946469429 1.71458353 +Curry County 2000 0.850048384 0.789972525 2.29931724 1.973246258 +Dane County 2000 1.051740016 0.90174942 1.669661143 1.649893177 +Daniels County 2000 1.092419483 1.052220038 1.995203481 1.811749829 +Davison County 2000 0.90949753 0.860862828 1.839260195 1.7031832 +DeSoto County 2000 0.983991781 0.948650689 1.783180092 1.729463367 +Decatur County 2000 1.034333744 0.941611654 1.870834132 1.816371906 +Delaware County 2000 1.046869715 0.865689924 1.90355916 1.887854369 +Denver County 2000 0.864791373 0.859290885 1.947457049 1.867206021 +Desha County 2000 1.142188622 1.040691888 1.764923479 1.710797805 +Doddridge County 2000 1.021148865 0.952367071 1.737404119 1.649445963 +Dolores County 2000 0.966918071 0.877442411 2.205880375 1.852486388 +Door County 2000 1.158523912 1.122563281 1.75912174 1.494582364 +Drew County 2000 1.209889755 1.175697788 1.778632655 1.735112043 +Dubois County 2000 0.942177556 0.904771849 2.153800785 1.951904951 +Dyer County 2000 1.051053988 0.898481495 2.246901149 1.856576073 +Edwards County 2000 1.05577241 1.02978664 1.837076541 1.765097359 +Ellsworth County 2000 1.165745323 0.945458181 1.967166074 1.731792175 +Fairfax city 2000 0.844787691 0.776015403 2.13891551 2.012892898 +Fayette County 2000 0.996168745 0.918393756 1.871505667 1.846946057 +Fergus County 2000 1.205890307 1.034887704 1.743015585 1.649275551 +Finney County 2000 0.96427 0.8426056 2.137049681 1.898682232 +Fluvanna County 2000 1.025967808 0.899875155 2.05296138 1.94023246 +Frederick County 2000 1.205951701 1.010093775 1.893936652 1.708010438 +Furnas County 2000 1.285674838 0.936607961 1.849647268 1.794286709 +Gadsden County 2000 0.953822667 0.943756191 1.980488769 1.845400376 +Garland County 2000 1.02691659 0.874233612 2.110637296 1.907745686 +Gogebic County 2000 1.070927547 0.869189195 1.78444012 1.728730129 +Golden Valley County 2000 0.971021496 0.853868476 2.140561053 2.039243413 +Goochland County 2000 0.889261799 0.680478481 2.468161471 2.114848658 +Gosper County 2000 1.141746766 1.101917185 2.083189049 1.907387055 +Greenbrier County 2000 1.05089722 1.021931981 2.082320473 1.789937264 +Greer County 2000 1.047384806 0.965088676 2.008643953 1.736922952 +Gregg County 2000 0.962210847 0.937625891 2.103249825 2.044239193 +Gregory County 2000 1.347321724 1.047989879 1.958638442 1.861287652 +Guadalupe County 2000 1.11124254 1.039162556 1.800995365 1.771199292 +Gulf County 2000 1.09292918 0.907737295 1.768149156 1.72405291 +Haakon County 2000 1.152094372 0.993441264 1.998243129 1.708145077 +Hamblen County 2000 0.981436879 0.957643217 1.992339053 1.782168094 +Hansford County 2000 1.105225466 0.80715389 2.183488763 2.070997509 +Hardee County 2000 0.999146735 0.884556236 2.283108814 1.87028586 +Hardeman County 2000 1.082521269 0.923879736 1.946881459 1.906295265 +Harris County 2000 1.068246694 0.90733241 1.897945098 1.775771072 +Harvey County 2000 1.350871236 0.972396983 2.328953105 1.746565388 +Heard County 2000 0.951351487 0.915447407 2.132712932 1.808128137 +Hertford County 2000 0.975649612 0.885534635 1.763384478 1.661357922 +Hickman County 2000 1.043214199 1.012004874 2.110620266 1.902407603 +Highland County 2000 1.076529002 1.043457428 2.139614403 1.57356158 +Highlands County 2000 1.344307047 0.910624859 1.877961109 1.717621313 +Holmes County 2000 0.950283273 0.924912076 1.938375547 1.777378836 +Honolulu County 2000 1.440404611 0.880592729 2.05389059 1.751587086 +Hood River County 2000 1.002896946 0.908282434 1.932428229 1.756846242 +Huerfano County 2000 1.063394906 0.902206198 1.785489007 1.650775353 +Hughes County 2000 0.942128048 0.824213299 2.43589996 1.90273708 +Hunt County 2000 1.04239234 0.870960607 1.89065044 1.875715506 +Independence County 2000 0.774133123 0.766910562 2.775983207 1.936040553 +Iowa County 2000 0.8574035 0.815050564 2.172015166 2.019538705 +Isle of Wight County 2000 1.016233629 0.813506369 2.07279167 2.048070473 +Jackson Parish 2000 0.927571974 0.833380108 2.722295371 2.199165664 +Jerome County 2000 0.889245974 0.876725283 2.084597346 2.005882592 +Johnston County 2000 1.162193043 1.001780008 2.157293317 1.718044373 +Judith Basin County 2000 1.1155687 0.866507849 2.191570038 1.784662102 +Juneau County 2000 1.265973738 0.79504294 1.994552976 1.959134028 +Kendall County 2000 1.084105215 0.936050166 1.875587663 1.865848623 +Kings County 2000 1.033875517 1.005205173 2.010933072 1.718909992 +La Plata County 2000 0.899379818 0.881008465 1.753470534 1.745234975 +La Porte County 2000 1.011560587 0.982966515 1.998139922 1.780817311 +La Salle Parish 2000 1.027079086 0.920031631 3.063585903 1.928444231 +Laclede County 2000 0.856650481 0.815836064 2.45276746 2.020668287 +Lagrange County 2000 1.148640315 0.880848741 1.982045008 1.882426209 +Lake and Peninsula Borough 2000 1.178686945 1.058519135 1.77765974 1.553551998 +Lamb County 2000 1.012612571 0.896953751 1.888319106 1.759036635 +Lanier County 2000 1.189373228 1.053985461 1.976309469 1.762460706 +Le Flore County 2000 0.994925923 0.966832721 2.434389931 1.81142915 +Leon County 2000 1.116468197 0.943223793 1.999724818 1.911237442 +Licking County 2000 1.028660489 0.991895656 1.901480122 1.690150774 +Little River County 2000 0.852411986 0.803550252 1.890394904 1.607187884 +Live Oak County 2000 1.112687784 0.93190581 2.023664685 1.908722605 +Logan County 2000 0.982071876 0.950646024 1.809744727 1.797730494 +Lumpkin County 2000 0.932273668 0.90757154 1.952169809 1.950297462 +Mackinac County 2000 1.100756225 0.865250242 2.094480538 1.776282974 +Madison County 2000 0.988058702 0.950367121 1.983139929 1.7702392 +Magoffin County 2000 1.081600141 0.995566777 1.81500714 1.776030649 +Malheur County 2000 0.965588715 0.807830466 1.941943252 1.675137505 +Manistee County 2000 0.935461808 0.893143407 2.175458437 1.667411001 +Marathon County 2000 0.988034764 0.93720437 1.839948118 1.696843488 +Marin County 2000 0.913932201 0.913591778 1.987820628 1.891995651 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0.845169716 2.184349613 1.771147014 +Montgomery County 2000 0.942905769 0.916815091 1.915171231 1.903455025 +Montrose County 2000 1.163353474 1.069447398 1.817913818 1.76987674 +Morrill County 2000 1.102356547 1.072979595 1.913447063 1.898092893 +Morrow County 2000 0.995873649 0.960854168 2.053674249 1.853995307 +Moultrie County 2000 0.983436268 0.906189011 2.236709813 1.847220196 +Mower County 2000 0.935192454 0.918015401 1.924718845 1.788591596 +Murray County 2000 1.174117499 0.854860577 1.982690663 1.954048857 +Nance County 2000 0.838025313 0.830544584 2.402742771 1.739140852 +Navarro County 2000 1.084899674 0.912499599 1.5587201 1.535602145 +Nemaha County 2000 1.026570271 0.96488826 2.154422761 1.828041496 +New Hanover County 2000 1.030712835 0.949909933 2.178705751 1.869060996 +New Kent County 2000 1.069495044 1.018314013 2.123853686 1.619425161 +New Madrid County 2000 1.209694179 0.881806907 2.171292926 1.955199905 +Newberry County 2000 1.026329165 0.870644601 2.141491683 1.85161936 +Newport County 2000 0.820302546 0.75511302 2.468304324 2.177223355 +Nicholas County 2000 0.994428746 0.905257482 1.832158455 1.760111379 +Nolan County 2000 1.07843771 1.025575724 1.755797158 1.697801094 +Norton city 2000 0.817217904 0.764063761 2.614760392 1.924759636 +Nowata County 2000 0.997179649 0.956602937 1.943074505 1.911602992 +Nueces County 2000 1.036997747 0.843065589 2.116023112 1.852786128 +Oceana County 2000 1.382258997 0.817281301 2.108211549 1.888155311 +Ogle County 2000 1.183345541 0.980191419 1.761853311 1.579854127 +Okanogan County 2000 0.947998155 0.775924204 2.52198388 2.289933771 +Okeechobee County 2000 1.246282609 0.956153639 1.827977616 1.73809742 +Onondaga County 2000 1.077539117 0.954206559 1.989720346 1.646776013 +Orange County 2000 0.94115883 0.924401081 2.00903693 1.85030708 +Orleans Parish 2000 1.104133004 0.96878692 1.90020039 1.795581701 +Owsley County 2000 1.166195324 0.837258315 1.848414762 1.735598461 +Owyhee County 2000 1.033994759 0.988512712 2.004176399 2.001491449 +Page County 2000 1.006597501 0.955485383 2.042444324 1.89659616 +Parke County 2000 0.83076734 0.809329744 2.255112695 1.910824143 +Passaic County 2000 1.017174478 0.873959363 2.252008452 2.019310121 +Peach County 2000 1.077614498 0.983864658 1.989333281 1.828755393 +Pennington County 2000 1.198672762 1.053297303 1.623495938 1.537172091 +Perquimans County 2000 0.947823182 0.868068231 2.536853898 1.968801934 +Perry County 2000 1.015406549 0.910439915 1.996063352 1.887982941 +Pitkin County 2000 0.889865486 0.828130845 2.115686998 1.96082345 +Plaquemines Parish 2000 1.471833824 0.958796984 1.923893223 1.795432004 +Pointe Coupee Parish 2000 1.458345454 0.908935122 1.779179096 1.72427077 +Poweshiek County 2000 1.110752658 0.957524382 2.019547203 1.651318078 +Prince Edward County 2000 1.096977826 0.92468953 1.871831052 1.664192299 +Ramsey County 2000 0.921764499 0.905942456 2.445232177 1.913109473 +Randall County 2000 0.976838907 0.849012999 2.053739047 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1.769512369 +Stanley County 2000 1.137390192 0.90625033 2.634046169 1.830525917 +Stevens County 2000 0.998206183 0.978336438 1.862537085 1.786253618 +Stoddard County 2000 1.095501313 1.058964134 1.80661078 1.77093942 +Sumner County 2000 1.220383761 1.053926242 1.714675289 1.652812426 +Swain County 2000 0.772147796 0.729200989 2.422086927 2.10923032 +Sweet Grass County 2000 1.110947659 0.811816592 2.147310744 1.856239912 +Swift County 2000 1.125691672 0.790679278 1.942033983 1.857789452 +Teller County 2000 0.970068478 0.967903131 2.139961347 1.796775419 +Tishomingo County 2000 1.070059865 0.819096724 2.122746805 1.928263266 +Tooele County 2000 1.167069954 1.075485717 1.896550494 1.516950804 +Towns County 2000 1.155489348 0.913573827 1.97029341 1.816774863 +Transylvania County 2000 1.250491574 1.13795103 1.854810691 1.711208318 +Treasure County 2000 1.089011991 0.953166007 2.205418841 1.915983319 +Trigg County 2000 1.229476047 1.003509719 1.666667053 1.664867185 +Tripp County 2000 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You should know what you did if you want to edit this +-- !q41 -- +ableantiableablecally +ableantieingpripri +ableationableought +ableationesecallyeing +ablebareingationeingought +ablecallyprieingbarought +ableeingationpricallyought +ableeingbareingantiought +ableeseeingoughtpri +ableeseeingprianti +ablen stableationcally +ablen stoughtantiation +antiantiationeingcally +antibaresecallycallyought +anticallyeingationbarought +anticallyeingese +anticallyprianticallyought +antieingeingoughtable +antieseeingn stableought +antioughteingn stpri +antipriationeseese +antipriesen stoughtought +antiprioughtbarbarable +antipripriablebarought +ationableeingeseanti +ationantiantibarcally +ationantieingbaranti +ationantipriantiantiought +ationbarableableeingought +ationbareingesebarought +ationbarpriationeing +ationeseationationbarought +ationeseeseablebarought +ationn stcallyesecallyought +ationn steseeingable +ationoughtn steing +ationoughtn stn stationought +barableantiableableought +barationationcallyoughtought +barbarbareseoughtought +bareingationpricallyought +bareingeingeseese +barn stesecallyeing +barn stoughtantiation +barn stoughtprin stought +baroughtantibarese +barpriesecallyeseought +callyableablen steseought +callyableeingeseanti +callyantiantibarcally +callyantioughtpri +callyantipriantiantiought +callycallyeingese +callycallyn stationantiought +callycallyprianticallyought +callyeingeseantiationought +callyeseantieingbarought +callyesecallycallyn st +callyeseeseablebarought +callyn stcallyesecallyought +callypriesen stoughtought +eingablebaroughtcally +eingableesecallyeseought +eingableoughtn stableought +eingantiablebarcally +einganticallyn st +eingationcallyantieingought +eingbarableableeingought +eingbarn steingought +eingcallypribarpriought +eingesebaresen stought +eingn stoughtbaroughtought +eingoughtn stbarpri +eseablepriableese +esebarantin stantiought +esecallyableeseanti +esecallyationoughtationought +esecallycallyationbarought +esecallyprianticallyought +eseeseeingprianti +eseoughtn steingableought +n stablebaroughtcally +n stableesecallyeseought +n stableoughtoughtbarable +n stantiesecallypriought +n steingationantipriought +n steingesecallyeing +n stesebaroughtbarable +n stn stn stprioughtought +n stprin stanticallyought +oughtableeingbaroughtought +oughtableprieingantiought +oughtationableought +oughtationationcallyoughtought +oughtationesecallyeing +oughtationpriationese +oughteingationpricallyought +oughtn stoughtantiation +oughtoughtableantipriought +oughtoughtantibarese + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q42.out b/regression-test/data/tpcds_sf100_p2/sql/q42.out new file mode 100644 index 0000000000..ac5fedc393 --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q42.out @@ -0,0 +1,14 @@ +-- This file is automatically generated. You should know what you did if you want to edit this +-- !q42 -- +2000 10 Electronics 33895825.33 +2000 2 Men 33109529.9 +2000 1 Women 32175026.59 +2000 7 Home 31091190.33 +2000 4 Shoes 30412816.98 +2000 3 Children 29792202.74 +2000 8 Sports 28713475.15 +2000 6 Jewelry 28503265.18 +2000 9 Books 27750066.4 +2000 5 Music 24555056.91 +2000 \N 326572.72 + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q43.out b/regression-test/data/tpcds_sf100_p2/sql/q43.out new file mode 100644 index 0000000000..7aed789ef3 --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q43.out @@ -0,0 +1,103 @@ +-- This file is automatically generated. 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You should know what you did if you want to edit this +-- !q44 -- +1 ablen stationesepri pricallyantiation +2 barableoughtcallyought eingprin stoughteingought +3 oughtationationcallyoughtought esen stbarablen st +4 ablecallyeingbarn stought n stationeseeingought +5 n stantiationanti barn steingableeseought +6 ationantibarantieingought barationantieingation +7 eingn stationn stable barn stoughtn stoughtought +8 ationantioughteseanti eseoughtpriationpri +9 antiprieingantically esepriantipriableought +10 oughtn stationeseought n stationantiationable + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q45.out b/regression-test/data/tpcds_sf100_p2/sql/q45.out new file mode 100644 index 0000000000..918757e2b4 --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q45.out @@ -0,0 +1,103 @@ +-- This file is automatically generated. 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84.41 0 95.57 114.68 2520.76 2000 1 +bareingantiationpri eing 55709 139 Valley First Mount Zion 58054 58 Park Forest Hills 29237 1999 1 89.35 123.3 0 30.54 38.48 28.66 2000 1 +bareingantiationpri eing 55709 402 Thirteenth Centerville 50059 474 Franklin Park Bethel 95281 1999 1 99.12 183.37 260.53 30.54 38.48 28.66 2000 1 +bareingantiationpri ese 49431 167 14th Jefferson Oak Hill 77838 327 Jackson Green Acres 37683 1999 1 27.85 38.43 0 69.64 135.1 0 2000 1 +bareingantiationpri ese 49431 547 5th Oak Ridge 58371 105 5th Spring Hill 86787 1999 1 63.29 75.31 0 69.64 135.1 0 2000 1 +bareingantiationpri ese 28048 22 Woodland White Plains 76622 758 2nd Eigth Highland 49454 1999 1 67.13 134.26 0 74.7 115.78 0 2000 1 +baroughtantibarbarable able 39843 677 4th Woodland 64854 733 Johnson Fourth Greenwood 68828 1999 1 80.4 86.02 0 47.64 73.84 0 2000 1 +baroughtantibarbarable anti 35281 120 Franklin Bunker Hill 60150 414 Willow Sunset Bridgeport 45817 1999 1 59.34 108.59 0 52.18 60.52 0 2000 1 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Oak Arlington 76557 604 Jackson Fairview 35709 1999 1 87.14 140.29 2543.58 31.79 54.67 0 2000 1 +baroughtprioughtpri able 39231 151 6th Main Pleasant Valley 22477 223 Willow Jamestown 46867 1999 1 48.4 92.92 0 64.18 69.31 58.94 2000 1 +baroughtprioughtpri ation 41933 104 Washington Hillcrest Spring Hill 16787 913 8th Woodlawn 74098 1999 1 77.83 96.5 0 60.66 81.89 0 2000 1 +baroughtprioughtpri ation 41933 607 Hickory Valley View 85124 977 Oak Mountain View 24466 1999 1 80.09 153.77 0 60.66 81.89 0 2000 1 +baroughtprioughtpri n st 73451 831 8th Spring Hill 26787 643 Main Pine Wilson 66971 1999 1 48.9 72.37 1175.68 51.31 76.45 0 2000 1 +baroughtprioughtpri ought 34136 368 Lincoln Philadelphia 35591 251 Jackson Highland 89454 1999 1 50.25 79.39 0 47.39 63.97 0 2000 1 +callyationablebarbarable able 44136 248 Park Chestnut Shady Grove 22812 188 College Miller Sunnyside 51952 1999 1 12.13 16.49 0 45.7 82.26 0 2000 1 +callyationablebarbarable able 49431 298 Cherry 13th Stringtown 70162 64 Franklin Third 1999 1 91.18 107.59 0 8.7 15.48 44.28 2000 1 +callyationablebarbarable anti 35709 32 Birch Richville 65945 245 Washington Jefferson Pine Grove 34593 1999 1 2.42 4.74 0 42.36 56.33 0 2000 1 +callyationablebarbarable anti 35709 32 Birch Richville 65945 245 Washington Jefferson Pine Grove 34593 1999 1 2.42 4.74 0 49.69 77.01 0 2000 1 +callyationablebarbarable anti 35709 32 Birch Richville 65945 245 Washington Jefferson Pine Grove 34593 1999 1 2.42 4.74 0 74.64 149.28 0 2000 1 +callyationablebarbarable anti 35709 580 10th Park Spring Hill 66787 480 Railroad 15th Frankfort 79681 1999 1 14.58 14.58 0 42.36 56.33 0 2000 1 +callyationablebarbarable anti 35709 580 10th Park Spring Hill 66787 480 Railroad 15th Frankfort 79681 1999 1 14.58 14.58 0 49.69 77.01 0 2000 1 +callyationablebarbarable anti 35709 580 10th Park Spring Hill 66787 480 Railroad 15th Frankfort 79681 1999 1 14.58 14.58 0 74.64 149.28 0 2000 1 +callyationablebarbarable anti 39843 284 Elm Five Forks 82293 505 Williams Cedar Grove 80411 1999 1 81.3 130.08 0 58.09 72.03 0 2000 1 +callyationablebarbarable anti 39843 919 Park Waterloo 71675 704 9th Ridge Antioch 38605 1999 1 98.49 127.05 2301.01 58.09 72.03 0 2000 1 +callyationablebarbarable ation 41933 944 4th Midway 51904 288 Lake Howell 24854 1999 1 90.28 109.23 0 87.01 95.71 0 2000 1 +callyationablebarbarable cally 22477 687 Madison Star 30725 635 5th Ridge Riverview 39003 1999 1 61.93 77.41 0 8.56 11.55 110.15 2000 1 +callyationablebarbarable eing 40059 819 Ash Sunnyside 71952 399 Cherry Washington Farmington 79145 1999 1 46.04 67.67 0 67.22 76.63 0 2000 1 +callyationablebarbarable n st 73604 737 1st Unionville 71711 774 3rd Oakland 89843 1999 1 81.3 121.95 0 42.4 47.48 0 2000 1 +callyn stn stationn stought bar 33604 415 7th Lakeview 58579 948 Valley Woodlawn 54098 1999 1 3.94 4.57 10.36 11.73 17.36 0 2000 1 +callyn stn stationn stought bar 33604 290 7th Clinton 48222 185 7th Jefferson Pine Grove 64593 1999 1 27.37 36.4 365.47 11.73 17.36 0 2000 1 +callyn stn stationn stought bar 34136 871 Maple Hillcrest 53003 968 9th West 1999 1 33.22 34.88 0 30.65 33.71 0 2000 1 +callyn stn stationn stought ese 49431 426 Elm Pine Grove 74593 800 West Third Belmont 50191 1999 1 1.89 2.77 0 87.33 140.6 0 2000 1 +callyn stn stationn stought ese 68828 281 Mill Liberty 23451 951 View Meadow Shady Grove 42812 1999 1 32.82 64.32 0 5.37 9.12 0 2000 1 +callyn stn stationn stought ese 49431 837 South Third Shady Grove 03412 207 Williams 12th Fairfield 76192 1999 1 56.99 98.02 0 87.33 140.6 0 2000 1 +callyn stn stationn stought n st 32812 362 15th Ridge Union 78721 731 Franklin Oak Lakeview 09179 1999 1 44.62 80.76 0 34.8 53.24 445.24 2000 1 +callyoughtprin stese able 45709 249 Lincoln Denmark 55576 228 Park Macedonia 51087 1999 1 4.47 5.94 0 20.31 37.57 0 2000 1 +callyoughtprin stese able 45709 249 Lincoln Denmark 55576 228 Park Macedonia 51087 1999 1 4.47 5.94 0 88.21 142.9 45.65 2000 1 +callyoughtprin stese able 65709 801 Church Liberty 23451 112 Franklin Five Points 46098 1999 1 15.79 17.84 0 53.07 84.38 0 2000 1 +callyoughtprin stese able 65709 333 12th Maple Arcola 81654 336 1st Walnut 26245 1999 1 35.93 44.19 964.62 53.07 84.38 0 2000 1 +callyoughtprin stese ation 71904 323 Cedar Blair 45465 872 Meadow 1st Salem 08648 1999 1 8.87 17.29 0 61.33 77.88 425.29 2000 1 +callyoughtprin stese ation 50059 977 Hillcrest 209 4th 15th Deerfield 69840 1999 1 38.03 41.45 0 84.93 140.98 0 2000 1 +callyoughtprin stese bar 41904 659 Elm Willow Harmon 75623 260 Lincoln Elm Union Hill 47746 1999 1 38.17 56.49 0 22.4 23.29 0 2000 1 +callyoughtprin stese ese 49431 128 Lincoln 2nd Riverview 69003 970 Oak Buena Vista 65752 1999 1 11.96 21.04 0 92.37 102.53 457.63 2000 1 +callyoughtprin stese ese 75709 877 Lakeview Park Sulphur Springs 68354 826 Oak Lebanon 82898 1999 1 36.01 37.81 0 28.08 28.08 0 2000 1 +callyoughtprin stese ought 35709 614 Cherry Sunnyside 31952 441 Mill Birch Clinton 38222 1999 1 80.55 102.29 0 73.64 85.42 0 2000 1 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38059 243 Wilson Richardson 27687 1999 1 50.5 62.62 0 69.24 99.7 0 2000 1 +callypriationesen st eing 71904 357 Meadow Clifton 48014 687 5th Seventh Summit 20499 1999 1 30.82 45.92 0 11.91 20.48 0 2000 1 +callypriationesen st eing 39231 648 250 Center Midway 71904 1999 1 34.45 38.58 0 6.53 11.68 108.19 2000 1 +callypriationesen st ese 78370 307 Willow Brownsville 59310 380 Valley Waterloo 51675 1999 1 54.92 103.79 0 25.65 51.04 0 2000 1 +callypricallyn steseought bar 35709 700 Lee Jackson 89583 789 Davis Washington Newport 21521 1999 1 75.88 122.16 0 86.57 169.67 0 2000 1 +callypricallyn steseought cally 34136 791 Main Pleasant Valley 82477 801 Main Georgetown 57057 1999 1 32.75 39.95 0 42.09 44.61 0 2000 1 +callypricallyn steseought cally 34136 791 Main Pleasant Valley 82477 801 Main Georgetown 57057 1999 1 32.75 39.95 0 66.7 119.39 1984.04 2000 1 +callypricallyn steseought eing 55709 616 Hickory Walnut Grove 27752 2 Cedar Jamestown 56867 1999 1 11.19 21.93 0 84.54 114.97 0 2000 1 +callypricallyn steseought eing 40059 254 Sycamore Gum Springs 62106 58 Johnson Bethel 25281 1999 1 22.26 41.4 132.48 61.57 66.49 0 2000 1 +callypricallyn steseought ese 49431 323 Adams Pine Fairview 85709 618 9th Franklin Farmington 79145 1999 1 80.55 146.6 108.05 95.99 135.34 73.89 2000 1 +callypricallyn steseought ought 33604 933 Highland Greenville 61387 260 Maple Newtown 61749 1999 1 42.91 67.36 0 97.53 169.7 0 2000 1 +callypricallyn steseought ought 34136 268 Laurel South Sutton 35413 783 6th Cedar Hamilton 42808 1999 1 91.1 166.71 0 15.69 31.22 0 2000 1 +callypricallyn steseought ought 34136 268 Laurel South Sutton 35413 783 6th Cedar Hamilton 42808 1999 1 91.1 166.71 0 85.46 90.58 0 2000 1 +eingantin stpribarought able 65709 389 Smith Walnut Lincoln 11289 237 Sixth 9th Woodville 94289 1999 1 11.58 13.2 14.84 11.48 11.59 0 2000 1 +eingantin stpribarought able 45709 424 Poplar Valley View 35124 657 Wilson Concord 94107 1999 1 23.68 44.51 0 83.17 96.47 0 2000 1 +eingantin stpribarought able 45709 1000 3rd Centerville 60059 977 Hill Locust Spring Valley 46060 1999 1 74.82 76.31 0 83.17 96.47 0 2000 1 +eingantin stpribarought able 45709 809 6th Proctor 68140 808 Woodland 54854 1999 1 91.99 157.3 0 83.17 96.47 0 2000 1 +eingantin stpribarought ation 50059 194 5th Spring Hill 66787 33 View Forest Hills 89237 1999 1 47.02 71.47 1964.65 9.5 17.29 0 2000 1 +eingantin stpribarought bar 35281 456 North Meadow Spring Hill 07387 985 9th Meadow Lincoln 41289 1999 1 53.67 90.7 0 25.5 42.33 849.27 2000 1 +eingantin stpribarought eing 55709 86 Sixth Flint 48909 89 Cherry Brunswick 64642 1999 1 41.57 56.11 69.68 7.93 13.63 41.44 2000 1 +eingantin stpribarought eing 55709 739 Davis Marion 40399 612 69303 1999 1 73.16 115.59 0 7.93 13.63 41.44 2000 1 +eingantin stpribarought n st 31933 957 Spring College Buena Vista 55752 357 Cedar Valley Milan 76697 1999 1 89.86 152.76 0 41.87 45.21 401.51 2000 1 +eingantioughtcallyeingought able 51904 344 Elm Enterprise 71757 1 Spring Spring Hill 56787 1999 1 88.73 173.02 0 93.1 94.96 0 2000 1 +eingantioughtcallyeingought anti 28048 333 Sycamore 7th Fairfield 66192 336 Poplar Griffin 81204 1999 1 28.14 39.11 0 1.9 3.28 0 2000 1 +eingantioughtcallyeingought bar 43604 840 1st Friendship 14536 1 Greenville 1999 1 10.1 11.71 0 93.53 186.12 0 2000 1 +eingantioughtcallyeingought bar 38828 250 Cedar 2nd Shady Grove 52812 438 12th Lake Doyle 38434 1999 1 25.71 45.5 0 10.24 13.2 0 2000 1 +eingantioughtcallyeingought ese 29231 183 Jefferson East Mount Vernon 68482 420 Locust Flint 48909 1999 1 84.17 164.97 0 86.04 100.66 0 2000 1 +eingantioughtcallyeingought n st 34136 270 Walnut Railroad Sunnyside 81952 65 East 2nd Wilson 46971 1999 1 72.61 88.58 0 24.75 39.1 0 2000 1 +eingantioughtcallyeingought ought 33451 644 Miller Oak Farmington 99145 72 Ninth River Mount Olive 58059 1999 1 29.12 44.55 1852.88 62.9 83.65 0 2000 1 +eingbareingeingeing able 39231 430 7th Mountain View 34466 538 Maple 8th Union 78721 1999 1 22.46 41.32 0 23.61 43.2 0 2000 1 +eingbareingeingeing able 45709 Fairview 75709 522 4th Hickory Mount Pleasant 21933 1999 1 40.85 79.65 1057.88 61.63 107.23 0 2000 1 +eingbareingeingeing able 45709 Fairview 75709 522 4th Hickory Mount Pleasant 21933 1999 1 40.85 79.65 1057.88 99.67 163.45 2106.97 2000 1 +eingbareingeingeing eing 73451 720 Cherry Spring Hill 56787 724 Poplar Pine Deerfield 49840 1999 1 71.62 121.03 0 25.62 38.94 0 2000 1 +eingbareingeingeing ese 32477 289 Mill Center Oak Ridge 48371 83 Green Jackson White Oak 66668 1999 1 20.5 36.9 0 34.17 58.43 3.5 2000 1 +eingbareingeingeing ese 32477 569 Elm View Bridgeport 15817 97 7th Crossroads 30534 1999 1 28.79 36.27 273.6 34.17 58.43 3.5 2000 1 +eingbareingeingeing pri 52477 909 View View Sunnyside 61952 57 Oak Edgewood 20069 1999 1 91.09 156.67 0 87.18 171.74 0 2000 1 +eingbaroughtbarationought bar 25281 592 Lake Summit 30499 629 Cedar Springdale 88883 1999 1 63.38 119.15 0 39.9 64.23 0 2000 1 +eingbaroughtbarationought bar 29843 3 Davis Newport 71521 317 Maple Smith Five Points 76098 1999 1 79.08 149.46 5572.09 37.56 59.34 0 2000 1 +eingbaroughtbarationought eing 45281 145 Park Hill Stringtown 40162 26 Lakeview Spruce Greenwood 68828 1999 1 76.51 119.35 0 27.62 54.96 0 2000 1 +eingbaroughtbarationought pri 41904 869 Wilson Five Points 26098 491 Johnson Franklin Shady Grove 72812 1999 1 15.3 29.83 0 20.34 33.76 68.9 2000 1 +eingbaroughtbarationought pri 41904 816 Second Walnut Grove 77752 635 East Clinton 58222 1999 1 22.87 27.9 0 20.34 33.76 68.9 2000 1 +eseantieingn stantiought able 45709 286 Center Park Sunnyside 81952 545 Highland Springfield 89303 1999 1 3.93 7.86 14.43 25.47 38.71 0 2000 1 +eseantieingn stantiought able 45709 286 Center Park Sunnyside 81952 545 Highland Springfield 89303 1999 1 3.93 7.86 14.43 77.65 153.74 861.66 2000 1 +eseantieingn stantiought able 29431 421 Adams Washington Stringtown 50162 111 3rd Hill Florence 53394 1999 1 36.56 66.17 0 10.84 18.97 0 2000 1 +eseantieingn stantiought eing 41904 572 Franklin Chestnut Buena Vista 75752 Cedar Grove 1999 1 1.37 2.69 0 72.24 110.52 0 2000 1 +eseantieingn stantiought eing 55709 131 Park Tenth Greenwood 78828 625 River Edgewood 70069 1999 1 21.24 30.79 0 80.46 139.19 0 2000 1 +eseantieingn stantiought eing 48370 907 Center Springdale 58883 255 Elm White Plains 16622 1999 1 48.09 77.42 0 96.74 151.88 0 2000 1 +eseantieingn stantiought eing 29431 265 Third Waterloo 51675 623 Park Roxbury 35508 1999 1 58.57 74.96 0 58.41 76.51 402.69 2000 1 +eseantieingn stantiought ese 45281 278 12th Royal 35819 124 Meadow South Oakland 19843 1999 1 62.96 86.25 0 5.27 6.16 169.32 2000 1 +eseantieingn stantiought ese 38828 522 Laurel Jefferson Oak Ridge 28371 945 Broadway Lake Springfield 19303 1999 1 95.48 174.72 0 35.17 54.16 0 2000 1 +esecallyantiantieingought able 28370 968 Hill Waterloo 61675 27 Lake 4th Mount Zion 18054 1999 1 28.48 37.3 0 84.36 167.87 272.6 2000 1 +esecallyantiantieingought able 28370 306 8th Johnson Antioch 78605 703 Main Center Concord 04707 1999 1 88.3 171.3 2027.5 84.36 167.87 272.6 2000 1 +esecallyantiantieingought anti 54136 688 West Wilson Liberty 63451 99 Dogwood Hillcrest Franklin 59101 1999 1 9.34 17.27 6.73 73.47 134.45 0 2000 1 +esecallyantiantieingought anti 73604 183 Laurel Hill Spring Hill 26787 273 Oak Sunnyside 41952 1999 1 22.45 30.75 0 40.76 73.36 74.45 2000 1 +esecallyantiantieingought bar 75709 453 Fifth Tremont 69515 613 Williams Yorktown 40732 1999 1 21.08 39.84 0 42.97 45.11 0 2000 1 +esecallyantiantieingought bar 38828 644 Cedar Oak White Oak 86668 352 Smith Elm Hillcrest 43003 1999 1 25.11 27.87 0 3.57 4.49 0 2000 1 +esecallyantiantieingought bar 75709 662 Church College Oak Hill 109 Jackson Oakland 79843 1999 1 45.19 84.5 0 42.97 45.11 0 2000 1 +esecallyantiantieingought bar 75709 158 Center 1st Avery 60194 637 Elm East Centerville 40059 1999 1 88.26 110.32 0 42.97 45.11 0 2000 1 +esecallyantiantieingought ese 49431 487 Sycamore Bunker Hill 40150 497 Fifteenth Church Greenfield 05638 1999 1 13.33 14.52 0 97.08 99.99 0 2000 1 +esecallyantiantieingought ese 49431 132 Second 15th Fairview 85709 88 Pine Enterprise 71757 1999 1 23.12 34.21 0 97.08 99.99 0 2000 1 +esecallyantiantieingought n st 68048 389 Poplar 11th Lakeview 38579 723 Sunset Springdale 48883 1999 1 44.16 45.48 0 50.69 100.36 70.44 2000 1 +esecallyantiantieingought ought 39843 538 Park Saint James 25799 953 Cedar Summit 40499 1999 1 85.99 103.18 0 63.84 75.96 0 2000 1 +eseeingeseantipriought ese 35281 303 West Lake Walnut Grove 37752 595 11th View Sunnyside 31952 1999 1 41.66 65.4 0 4.31 6.24 0 2000 1 +n stableableantiought anti 35709 169 River West Waterloo 51675 818 4th Fifth Valley View 35124 1999 1 14.78 21.43 117.24 43.97 59.79 1812.09 2000 1 +n stableableantiought ation 71904 201 Hillcrest Hill Plainview 53683 178 14th Fourth Brownsville 69310 1999 1 32.31 63 776.37 70.66 96.8 0 2000 1 +n stableableantiought ese 78370 231 Washington 8th Woodville 64289 651 9th Second Jenkins 77292 1999 1 27.45 28.82 0 2.46 2.68 0 2000 1 +n stableableantiought ese 35281 55 Washington 3rd Jamestown 76867 171 46971 1999 1 65.2 113.44 0 25.47 32.09 0 2000 1 +n stableableantiought ought 32812 596 Lakeview Farmington 59145 53 Hill Springdale 28883 1999 1 73.55 106.64 38.7 8.57 16.88 193.89 2000 1 +n stableableeseanti able 38048 108 11th Crossroads 30534 145 Maple Pine Pine Grove 24593 1999 1 10.08 19.95 206.84 37.24 64.79 0 2000 1 +n stableableeseanti able 38048 225 2nd Newport 02121 456 1st Shady Grove 42812 1999 1 83.9 114.94 0 37.24 64.79 0 2000 1 +n stableableeseanti ation 40059 109 Lakeside 99532 147 Lincoln Smith Woodland 74854 1999 1 56.04 98.63 2350.01 32.9 57.57 0 2000 1 +n stableableeseanti ation 40059 391 Sycamore 14th Georgetown 97057 234 1st Maple Stringtown 70162 1999 1 96.7 156.65 0 32.9 57.57 0 2000 1 +n stableableeseanti eing 55709 497 6th Union Hill 57746 73 View Salem 08648 1999 1 5.21 6.87 0 24.98 40.46 0 2000 1 +n stableableeseanti eing 55709 497 6th Union Hill 57746 73 View Salem 08648 1999 1 5.21 6.87 0 70.95 105 0 2000 1 +n stableableeseanti n st 49231 344 2nd Oak Centerville 70059 595 Spruce Forest Hills 79237 1999 1 3.01 4.6 53.22 10.37 14.62 0 2000 1 +n stableableeseanti n st 49231 294 12th Sunset Bethel 55281 408 7th Hopewell 80587 1999 1 15.91 19.56 0 10.37 14.62 0 2000 1 +n stableableeseanti n st 49231 259 Cedar Pine Ashland 54244 949 7th Locust Clinton 58222 1999 1 40.38 60.57 0 10.37 14.62 0 2000 1 +n stableableeseanti n st 49231 136 Poplar Central Harmony 55804 81 Cedar Mill Woodville 64289 1999 1 94.06 94.06 342.03 10.37 14.62 0 2000 1 +n stableableeseanti pri 28828 139 5th Shiloh 99275 367 Adams Smith 57317 1999 1 49.18 49.67 0 46.9 67.53 0 2000 1 +n stablen steingcally able 51904 950 West Oak Greenville 81387 457 Lincoln Farmington 39145 1999 1 54.26 69.99 0 99.49 151.22 0 2000 1 +n stablen steingcally ation 40059 311 Elm Maple Harmony 95804 470 Oak Pine Sunnyside 02552 1999 1 86.03 171.19 0 31.42 40.84 0 2000 1 +n stablen steingcally ation 40059 311 Elm Maple Harmony 95804 470 Oak Pine Sunnyside 02552 1999 1 86.03 171.19 0 47.68 71.99 0 2000 1 +n stablen steingcally ation 40059 311 Elm Maple Harmony 95804 470 Oak Pine Sunnyside 02552 1999 1 86.03 171.19 0 50.77 101.54 1070.12 2000 1 +n stablen steingcally eing 31904 780 Elm 15th Clifton 78014 650 Smith Cedar Woodville 84289 1999 1 19.6 20.58 0 54.36 78.82 0 2000 1 +n stablen steingcally eing 72812 295 Oak Shady Grove 72812 477 Lakeview Carter 90919 1999 1 39.9 72.61 0 45.69 56.19 0 2000 1 +n stablen steingcally eing 45709 321 Wilson Oak Hill 17838 1999 1 41.88 56.53 0 61.72 69.12 0 2000 1 +n stablen steingcally eing 72812 205 First Union 38721 409 Adams Cedar Buena Vista 65752 1999 1 87.19 126.42 0 45.69 56.19 0 2000 1 +n stablen steingcally n st 68048 665 Walnut First Antioch 09205 669 Lee Hillcrest Perkins 71852 1999 1 9.93 14.39 0 36.05 52.27 171.05 2000 1 +n stablen steingcally pri 52477 267 Washington Midway 02504 856 Davis 10th Wilson 36971 1999 1 69.38 95.74 2758.66 54.53 109.06 0 2000 1 +n stbaresecallyableought able 38721 700 Davis Murray 82150 924 5th 2nd Deerfield 69840 1999 1 23.35 32.92 0 71.22 116.08 0 2000 1 +n stbaresecallyableought cally 34136 231 6th Park Newport 51521 402 2nd Pine Glendale 43951 1999 1 5.17 9.82 0 19.35 27.28 921.55 2000 1 +n stbaresecallyableought cally 34136 231 6th Park Newport 51521 402 2nd Pine Glendale 43951 1999 1 5.17 9.82 0 40.26 49.11 574.47 2000 1 +n stbaresecallyableought eing 39231 708 Spruce 4th Oak Ridge 58371 39 Wilson Delmar 53957 1999 1 1 1.28 3.8 10.89 16.55 153.87 2000 1 +n stbaresecallyableought eing 39231 313 Dogwood Edgewood 80069 832 North 1st Woodlawn 24098 1999 1 33.59 46.35 0 10.89 16.55 153.87 2000 1 +n stbaresecallyableought eing 49843 722 Willow Lakewood 58877 943 9th Mount Vernon 38482 1999 1 36.02 50.78 1298.58 35.04 56.41 56.4 2000 1 +n stbaresecallyableought ese 33451 628 13th Miller Belmont 40191 180 6th Harmony 25804 1999 1 79.9 135.83 0 38.31 43.67 0 2000 1 +n stbaresecallyableought n st 31933 154 Valley 4th Vista 94694 95 1st North Bunker Hill 20150 1999 1 3.69 3.76 0 22.3 22.96 0 2000 1 +n stbaresecallyableought n st 73451 980 1st Pleasant Grove 54136 947 Third Oak Hill 67838 1999 1 16.76 23.29 0 10.62 16.46 0 2000 1 +n stoughtoughtationpriought able 39231 438 Railroad Woodlawn 74098 278 Spring East Riceville 75867 1999 1 33.48 43.52 0 9.25 10.91 48.88 2000 1 +n stoughtoughtationpriought bar 35281 128 South 8th Pleasant Hill 53604 127 Highland Oak Pleasant Grove 24136 1999 1 5.32 7.76 0 54.03 84.28 0 2000 1 +n stoughtoughtationpriought bar 59431 259 East Center Red Hill 84338 846 Miller Highland 89454 1999 1 75.84 119.06 0 20.42 27.97 9.64 2000 1 +n stoughtoughtationpriought cally 73604 680 Sixth Center Providence 76614 273 Cedar 6th Lakeside 59532 1999 1 30.24 56.54 0 55.45 109.23 0 2000 1 +n stoughtoughtationpriought cally 58828 358 West Oak Liberty 53451 481 Fourth Denmark 85576 1999 1 50.64 55.7 0 75.55 95.94 0 2000 1 +n stoughtoughtationpriought eing 55709 30 Hillcrest Laurel Salem 78048 651 1st Mount Pleasant 21933 1999 1 33.57 43.3 0 46.84 71.19 0 2000 1 +n stoughtoughtationpriought ese 35709 889 Wilson Union Hill 67746 950 Laurel Woodlawn 54098 1999 1 91.64 175.94 0 91.54 120.83 0 2000 1 +n stoughtoughtationpriought ese 35709 107 4th Antioch 28605 42 Lincoln Church Friendship 24536 1999 1 92.4 108.1 0 91.54 120.83 0 2000 1 +n stoughtoughtationpriought ought 71933 689 Park New Hope 59431 966 Jefferson Pleasant Grove 14136 1999 1 8.89 16.17 0 59.86 114.33 0 2000 1 +n stoughtoughtationpriought ought 21904 413 80191 881 4th Lebanon 22898 1999 1 57.21 110.41 0 33.2 63.08 0 2000 1 +n stoughtoughtationpriought ought 33604 358 Lincoln Five Points 46098 135 Adams Wilson 56971 1999 1 73.6 142.04 0 38.75 69.36 0 2000 1 +n stpribarableeseought able 29431 299 Washington Park Parkwood 812 Valley Hill Mount Vernon 68482 1999 1 5.63 11.26 0 6.04 11.77 0 2000 1 +n stpribarableeseought able 30059 985 Hill Smith Spring Valley 96060 688 View Davis Crossroads 20534 1999 1 48.61 77.28 137.76 31.34 43.87 304.83 2000 1 +n stpribarableeseought bar 75709 897 Fifth Harmony 35804 644 2nd Highland Park 26534 1999 1 3.8 7.06 0 61.81 69.22 0 2000 1 +n stpribarableeseought bar 75709 867 Laurel Jackson 69583 830 Lee 6th Springdale 68883 1999 1 88.07 144.43 0 61.81 69.22 0 2000 1 +n stpribarableeseought eing 21933 333 Cherry Highland Arlington 66557 451 Spring Bunker Hill 80150 1999 1 26.19 42.68 0 5.21 7.13 0 2000 1 +n stpribarableeseought eing 21933 644 Second Fifth Oakdale 49584 589 Jefferson Valley Oakland 49843 1999 1 52.99 72.06 0 5.21 7.13 0 2000 1 +n stpribarableeseought ese 49431 948 Williams View Crossroads 50534 Smith Union Hill 47746 1999 1 8.73 11.26 86.82 40.13 71.43 63.37 2000 1 +n stpribarableeseought ese 49431 948 Williams View Crossroads 50534 Smith Union Hill 47746 1999 1 8.73 11.26 86.82 69.39 74.24 0 2000 1 +n stpribarableeseought ese 68828 821 Railroad Lebanon 32898 871 10th Oakwood 20169 1999 1 19.73 39.26 0 92.12 136.33 905.46 2000 1 +n stpribarableeseought ese 49431 877 Park Johnson Arlington 76557 785 Elm Pleasant Valley 82477 1999 1 76.24 112.07 0 40.13 71.43 63.37 2000 1 +n stpribarableeseought ese 49431 877 Park Johnson Arlington 76557 785 Elm Pleasant Valley 82477 1999 1 76.24 112.07 0 69.39 74.24 0 2000 1 +n stpribarableeseought ese 78370 94 2nd Shiloh 89275 558 Spruce Lake White Oak 56668 1999 1 92.64 97.27 0 2.9 3.48 10.3 2000 1 +n stpribarableeseought n st 49231 647 7th Friendship 74536 303 East Calhoun 07509 1999 1 39.19 41.54 0 69.76 117.89 0 2000 1 +n stpribarableeseought pri 38828 352 Sycamore South Gladstone 80894 157 Lincoln Miller Newport 31521 1999 1 32.5 58.17 0 26.24 36.99 8.61 2000 1 +n stpribarableeseought pri 38828 433 Sixth Spring Valley 06660 628 Washington 14th Lakeside 59532 1999 1 86.42 154.69 953.41 26.24 36.99 8.61 2000 1 +n stprieingantieingought able 45709 898 Valley Broadway Brownsville 49310 385 Lake 3rd Buena Vista 65752 1999 1 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New requirements may come of course warm properties. 8.79 0.35 0.21 importoedu pack #2 + Able ar 3.63 7.08 5.38 corpmaxi #6 + Able institutions will expect usually criminal, likely shares. Miraculously new organisers consider genuinely administrative wives. Just init 4.16 5.13 4.15 edu packscholar #2 + Able plants make just clear enquiries. Simply american plans shall not chase on a groups. British aut 3.56 9.35 5.98 exportiimporto #1 + Able rules shall not look early words. Able, wise things cope back cameras. Simple 9.36 2.3 1.84 amalgexporti #2 + Able, 3.1 8.11 3.64 namelessnameless #1 + Able, darling colours may drink only remaining plants. Economic, short rights achieve still for a areas. Constant corporati 1.37 7.22 4.98 importoscholar #1 + Able, domestic markets may not go; most soft papers find notably. Late, comparable relations understand somewhere; boys feel communications. Other, spe 6.38 62.47 39.35 edu packunivamalg #1 + Able, early plans shall not take ideally global terms. Inevitable parents close vice versa german structures. Other, related reports get families. Proper, red steps arr 0.64 3.48 1.46 importoamalg #1 + Able, final trees must give just environmental, implicit men. Tourists will hang. Politic 4.33 4.21 3.03 edu packimporto #1 + Able, foreign 5.4 3.23 1.67 amalgmaxi #10 + Able, major communities relate half public ships. New, social districts could know ever operational trousers. Disabled, subsequent animals used to inform even 2.84 9.25 4.44 scholarnameless #1 + Able, official others shall point later high conditions. Consequently inc events reach really straight important objects. 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Mental neighbours watch deliberately annual, good names; bad, logical pictures bet with a legs. All false factors would 9.85 1.87 1.17 edu packunivamalg #8 + About other rights restore easily. Also federal words consider warm things. Previously misleading meanings seem kilometres; severe, new hours tell indirectly to a designs. Other titles open extremely 8.87 94.46 78.4 edu packscholar #2 + About popular women ref 2.71 2.81 0.95 scholarcorp #1 + About single rates can join ideas. Historic police will not ride inevitably questions. As long-term reserves ought to tell local 3.21 5.4 3.18 maxicorp #1 + About traditi 5.19 6 4.02 importobrand #5 + About ugly walls could fit; essential, pink pounds link only. Thus back interests act over enormous, serious concentrations. Other degrees show standard, social techniques. Physic 3.7 9.75 6.72 namelessmaxi #3 + About whole reasons change strong, comprehensive instruments. Single, other members transfer rather practitioners; real forms leave perhaps towards a sequences. Unusually sorry resid 1.19 4.31 2.24 amalgamalg #1 + Above different eyes may look unknown, close remains. Local, little operations show from a men. Subjects will place good, lia 3.92 6.25 2.12 importoscholar #1 + Above necessary organs must touch even courses; small areas explore similarly sites. Stories could not sink fina 7.48 4.83 2.07 importoimporto #1 + Above small officers read at a effects. Possible, great minutes make future demands. Only educational governments could not work special difficulti 4.57 9.85 6.69 amalgexporti #1 + Absent trials would afford overseas, major nerves; writings will confuse adults. Blind, supreme schemes mean from a college 10.33 5.03 3.37 amalgamalg #2 + Absent, private purposes make more implicit levels. Ses 4.74 2.44 1.02 exportiedu pack #2 + Absolute drugs apply mo 5.27 3.43 1.92 importoexporti #1 + Absolute nights lock significant moments. 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Vice versa partic 0 4.33 1.68 amalgexporti #1 + Accidents cannot retain below bad techniques; 2.15 30.26 15.13 maxinameless #1 + Accordingly decent lives chase therefore. Groups cease national, aware boards. Double, various others define conventional, s 0 4.17 3.16 scholarbrand #3 + Accordingly urban talks spin wi 8.64 7.43 5.72 univnameless #6 + Accounts say just ready others. Private environments should take so by a weapons. Indeed visual shoulders develop here particular, french t 10.38 0.35 0.18 importomaxi #6 + Accused organisations used to know alone; daily, sure weeks last still boys. A 5.25 3.9 3.27 importomaxi #3 + Achievements evacuate over on a activities; very static factors should react. Luckily different spaces must pick instantly important arts. Hardly small prope 9.09 3.56 2.24 importoscholar #1 + Acros 3.83 9.02 4.87 exporticorp #6 + Actions complement feet. Possible days use small, free years; right firms find regularly previous, net prisoners. 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You should know what you did if you want to edit this +-- !q90 -- +0.603480355 + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q91.out b/regression-test/data/tpcds_sf100_p2/sql/q91.out new file mode 100644 index 0000000000..ac5933bd05 --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q91.out @@ -0,0 +1,33 @@ +-- This file is automatically generated. 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You should know what you did if you want to edit this +-- !q92 -- +3048062.04 + diff --git a/regression-test/data/tpcds_sf100_p2/sql/q93.out b/regression-test/data/tpcds_sf100_p2/sql/q93.out new file mode 100644 index 0000000000..443d723efc --- /dev/null +++ b/regression-test/data/tpcds_sf100_p2/sql/q93.out @@ -0,0 +1,103 @@ +-- This file is automatically generated. 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Therefore square features provide on a machines. Rules make over me Books arts 2.42 65721.59 0.211067834 +AAAAAAAAAALKCAAA Random, good factors leave enough strategic figures. Allegedly modern studies shall not represent quite for example western prices. Cultural paintings tre Books arts 6.61 39816.76 0.127873311 +AAAAAAAAAANGBAAA New, relevant dangers evade. Other, simple bodies convert only also certain lines; swiss, small rights may not continue inadvertently in the levels. Substances know as a users. Now c Books arts 2.66 64230.48 0.206279068 +AAAAAAAAABFACAAA Legitimate shoes may exist as applications. Activities devote just equal rumours Books arts 4.93 26405.95 0.084803893 +AAAAAAAAABNOBAAA Different, previous women should like; effects know extremely black groups. Good, poor rates can override even for a books. Schools endure in particular glad, diffic Books arts 3.27 64590.01 0.207433714 +AAAAAAAAABOBBAAA Still possible dollars will not choose bold issues. Old, obvious thanks shall stimulate only by the schools. Exceptionally independent components will deliver then particularly substantia Books arts 2.75 57953.9 0.186121549 +AAAAAAAAABPGBAAA Organisms should know with a officials; cases used to start apart then existing managers; sales ought to produce alway Books arts 0.93 41863.38 0.134446123 +AAAAAAAAACHGCAAA Adequate, bizarre genes check from the nu Books arts 6.98 64888.72 0.208393035 +AAAAAAAAACIEAAAA Im Books arts 4.02 27691.06 0.088931081 +AAAAAAAAACKBAAAA Clinical, inc initiatives make specially according to a activities. Books arts 6.92 27716.96 0.08901426 +AAAAAAAAACMIAAAA Aggressive, possible men will consist absolutely also magnetic transactions. Only old decisions release members; experiences could Books arts 3.36 69778.38 0.224096397 +AAAAAAAAADOOBAAA Random faces might start necessarily on the minerals. 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Natural quan Books arts 7.19 31308.81 0.100549648 +AAAAAAAABDMADAAA Adjacent, clear subjects shall not say deeply else rough boundaries. Books arts 4.14 28042.36 0.090059297 +AAAAAAAABEEABAAA Words would advance fo Books arts 2.4 42655.85 0.136991176 +AAAAAAAABELFBAAA Weekly shows cannot suppose Books arts 8.71 62194.73 0.199741165 +AAAAAAAABFDGBAAA Whole, different improvements used to distinguish as possible scales. Once flat c Books arts 0.65 29835.17 0.095816987 +AAAAAAAABFHDAAAA Little days answer in a emotions; players touch. Books arts 2.58 35745.96 0.114799754 +AAAAAAAABFNMAAAA As model thousands respond rather. Pounds ought to dedu Books arts 1.63 36792.3 0.118160122 +AAAAAAAABGFOCAAA Direct, dark years spend now to a programmes. Local, grand employers should alert far games. Used, present friends follow. Written firms used to get eve Books arts 24.48 34676.5 0.111365135 +AAAAAAAABHDCAAAA Minor heads close common children; recently strong firms provide. 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Employees may not expect al Books arts 2.04 53820.11 0.172845697 +AAAAAAAABKDIAAAA French books undergo so technical figures; beings test then friends. Top, constant proceedings will not face too. Weakly public cuts change organic, resp Books arts 2.01 55254.09 0.177450989 +AAAAAAAABLOMCAAA Different, wild members see in a areas. Stairs shall achieve able police. Relat Books arts 5.34 55842.95 0.179342139 +AAAAAAAABMIKAAAA Yet electronic keys could not serve followers. Very relevant advertisements include neither before new reforms. Local, quiet arms would know other, other candidat Books arts 7.4 23588.84 0.075756618 +AAAAAAAABMLNAAAA Key girls cannot come cars. Rumours would imagine Books arts 8.87 57379.13 0.18427565 +AAAAAAAABNMJCAAA Private laws make respectively Books arts 59.57 62566.81 0.200936117 +AAAAAAAABNNFCAAA Quiet files can return mentally to a drugs. So british colleagues must not let for a cultures. Skills end careful, reasonable masters. 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Events must not help lang Books arts 9.38 55220.24 0.177342278 +AAAAAAAACAHICAAA Advisory, new reasons will know enough origins. Left years used to question royal, unusual accounts; now sen Books arts 7.27 48822.45 0.156795488 +AAAAAAAACBACAAAA Remaining, main passengers go far sure men. Books arts 4.78 52175.54 0.167564087 +AAAAAAAACBANAAAA Upper, emotional sections used to stop as much particular efforts. Legal ties bring rather primarily possible Books arts 6.76 58601.34 0.188200832 +AAAAAAAACBBBCAAA Imperial, inc channels must not press narrow, good sides. Sort of wise centres may go; concerned, other hours shall live adv Books arts 2.62 65915.19 0.211689589 +AAAAAAAACBCEBAAA Eastern students might not achieve. Recent countries could not live effectively again other stations. Houses leave clearly industrial levels. Proper elect Books arts 9.51 57273.79 0.183937346 +AAAAAAAACBPDBAAA Fears can persuade roman margins. English courses give plans. 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EXPRESS NY Metro_2 8314 8507 8443 0 0 + diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/call_center.sql b/regression-test/suites/tpcds_sf100_p2/ddl/call_center.sql new file mode 100644 index 0000000000..510344e86d --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/call_center.sql @@ -0,0 +1,38 @@ +CREATE TABLE IF NOT EXISTS call_center ( + cc_call_center_sk bigint not null, + cc_call_center_id char(16) not null, + cc_rec_start_date date, + cc_rec_end_date date, + 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 decimal(5,2), + cc_tax_percentage decimal(5,2) +) +DUPLICATE KEY(cc_call_center_sk) +DISTRIBUTED BY HASH(cc_call_center_sk) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/call_center_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/call_center_delete.sql new file mode 100644 index 0000000000..993125f3ae --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/call_center_delete.sql @@ -0,0 +1 @@ +truncate table call_center; diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/call_center_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/call_center_load.sql new file mode 100644 index 0000000000..c73369ce25 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/call_center_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/call_center.dat.gz") + INTO TABLE call_center + COLUMNS TERMINATED BY "|" + (cc_call_center_sk, cc_call_center_id, cc_rec_start_date, cc_rec_end_date, cc_closed_date_sk, cc_open_date_sk, cc_name, cc_class, cc_employees, cc_sq_ft, cc_hours, cc_manager, cc_mkt_id, cc_mkt_class, cc_mkt_desc, cc_market_manager, cc_division, cc_division_name, cc_company, cc_company_name, cc_street_number, cc_street_name, cc_street_type, cc_suite_number, cc_city, cc_county, cc_state, cc_zip, cc_country, cc_gmt_offset, cc_tax_percentage) +) diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/catalog_page.sql b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_page.sql new file mode 100644 index 0000000000..db3462b8cd --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_page.sql @@ -0,0 +1,16 @@ +CREATE TABLE IF NOT EXISTS catalog_page ( + cp_catalog_page_sk bigint not null, + cp_catalog_page_id char(16) not null, + 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) +DISTRIBUTED BY HASH(cp_catalog_page_sk) BUCKETS 3 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/catalog_page_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_page_delete.sql new file mode 100644 index 0000000000..1f7fec899b --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_page_delete.sql @@ -0,0 +1 @@ +truncate table catalog_page; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/catalog_page_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_page_load.sql new file mode 100644 index 0000000000..f225f4c477 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_page_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/catalog_page.dat.gz") + INTO TABLE catalog_page + COLUMNS TERMINATED BY "|" + (cp_catalog_page_sk, cp_catalog_page_id, cp_start_date_sk, cp_end_date_sk, cp_department, cp_catalog_number, cp_catalog_page_number, cp_description, cp_type) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/catalog_returns.sql b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_returns.sql new file mode 100644 index 0000000000..5dc6f88ae2 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_returns.sql @@ -0,0 +1,35 @@ +CREATE TABLE IF NOT EXISTS catalog_returns ( + cr_item_sk bigint not null, + cr_order_number bigint not null, + cr_returned_date_sk bigint, + cr_returned_time_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_return_quantity integer, + cr_return_amount decimal(7,2), + cr_return_tax decimal(7,2), + cr_return_amt_inc_tax decimal(7,2), + cr_fee decimal(7,2), + cr_return_ship_cost decimal(7,2), + cr_refunded_cash decimal(7,2), + cr_reversed_charge decimal(7,2), + cr_store_credit decimal(7,2), + cr_net_loss decimal(7,2) +) +DUPLICATE KEY(cr_item_sk, cr_order_number) +DISTRIBUTED BY HASH(cr_item_sk, cr_order_number) BUCKETS 32 +PROPERTIES ( + "replication_num" = "1", + "colocate_with" = "catalog" +); diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/catalog_returns_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_returns_delete.sql new file mode 100644 index 0000000000..e5ada0e075 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_returns_delete.sql @@ -0,0 +1 @@ +truncate table catalog_returns; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/catalog_returns_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_returns_load.sql new file mode 100644 index 0000000000..6e9a064463 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_returns_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/catalog_returns.dat.gz") + INTO TABLE catalog_returns + COLUMNS TERMINATED BY "|" + (cr_returned_date_sk, cr_returned_time_sk, cr_item_sk, cr_refunded_customer_sk, cr_refunded_cdemo_sk, cr_refunded_hdemo_sk, cr_refunded_addr_sk, cr_returning_customer_sk, cr_returning_cdemo_sk, cr_returning_hdemo_sk, cr_returning_addr_sk, cr_call_center_sk, cr_catalog_page_sk, cr_ship_mode_sk, cr_warehouse_sk, cr_reason_sk, cr_order_number, cr_return_quantity, cr_return_amount, cr_return_tax, cr_return_amt_inc_tax, cr_fee, cr_return_ship_cost, cr_refunded_cash, cr_reversed_charge, cr_store_credit, cr_net_loss) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/catalog_sales.sql b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_sales.sql new file mode 100644 index 0000000000..a6dca3b9ef --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_sales.sql @@ -0,0 +1,42 @@ +CREATE TABLE IF NOT EXISTS catalog_sales ( + cs_item_sk bigint not null, + cs_order_number bigint not null, + 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_promo_sk bigint, + cs_quantity integer, + cs_wholesale_cost decimal(7,2), + cs_list_price decimal(7,2), + cs_sales_price decimal(7,2), + cs_ext_discount_amt decimal(7,2), + cs_ext_sales_price decimal(7,2), + cs_ext_wholesale_cost decimal(7,2), + cs_ext_list_price decimal(7,2), + cs_ext_tax decimal(7,2), + cs_coupon_amt decimal(7,2), + cs_ext_ship_cost decimal(7,2), + cs_net_paid decimal(7,2), + cs_net_paid_inc_tax decimal(7,2), + cs_net_paid_inc_ship decimal(7,2), + cs_net_paid_inc_ship_tax decimal(7,2), + cs_net_profit decimal(7,2) +) +DUPLICATE KEY(cs_item_sk, cs_order_number) +DISTRIBUTED BY HASH(cs_item_sk, cs_order_number) BUCKETS 32 +PROPERTIES ( + "replication_num" = "1", + "colocate_with" = "catalog" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/catalog_sales_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_sales_delete.sql new file mode 100644 index 0000000000..d61222fa24 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_sales_delete.sql @@ -0,0 +1 @@ +truncate table catalog_sales; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/catalog_sales_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_sales_load.sql new file mode 100644 index 0000000000..e4dadaf5fc --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/catalog_sales_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/catalog_sales.dat.gz") + INTO TABLE catalog_sales + COLUMNS TERMINATED BY "|" + (cs_sold_date_sk, cs_sold_time_sk, cs_ship_date_sk, cs_bill_customer_sk, cs_bill_cdemo_sk, cs_bill_hdemo_sk, cs_bill_addr_sk, cs_ship_customer_sk, cs_ship_cdemo_sk, cs_ship_hdemo_sk, cs_ship_addr_sk, cs_call_center_sk, cs_catalog_page_sk, cs_ship_mode_sk, cs_warehouse_sk, cs_item_sk, cs_promo_sk, cs_order_number, cs_quantity, cs_wholesale_cost, cs_list_price, cs_sales_price, cs_ext_discount_amt, cs_ext_sales_price, cs_ext_wholesale_cost, cs_ext_list_price, cs_ext_tax, cs_coupon_amt, cs_ext_ship_cost, cs_net_paid, cs_net_paid_inc_tax, cs_net_paid_inc_ship, cs_net_paid_inc_ship_tax, cs_net_profit) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/customer.sql b/regression-test/suites/tpcds_sf100_p2/ddl/customer.sql new file mode 100644 index 0000000000..c812783e58 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/customer.sql @@ -0,0 +1,25 @@ +CREATE TABLE IF NOT EXISTS customer ( + c_customer_sk bigint not null, + c_customer_id char(16) not null, + 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) +DISTRIBUTED BY HASH(c_customer_id) BUCKETS 12 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/customer_address.sql b/regression-test/suites/tpcds_sf100_p2/ddl/customer_address.sql new file mode 100644 index 0000000000..d3b3a96b98 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/customer_address.sql @@ -0,0 +1,20 @@ +CREATE TABLE IF NOT EXISTS customer_address ( + ca_address_sk bigint not null, + ca_address_id char(16) not null, + 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 decimal(5,2), + ca_location_type char(20) +) +DUPLICATE KEY(ca_address_sk) +DISTRIBUTED BY HASH(ca_address_sk) BUCKETS 12 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/customer_address_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/customer_address_delete.sql new file mode 100644 index 0000000000..34afbec584 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/customer_address_delete.sql @@ -0,0 +1 @@ +truncate table customer_address; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/customer_address_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/customer_address_load.sql new file mode 100644 index 0000000000..a98b1c87c3 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/customer_address_load.sql @@ -0,0 +1,7 @@ + +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/customer_address.dat.gz") + INTO TABLE customer_address + COLUMNS TERMINATED BY "|" + (ca_address_sk, ca_address_id, 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) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/customer_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/customer_delete.sql new file mode 100644 index 0000000000..fe22a226fe --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/customer_delete.sql @@ -0,0 +1 @@ +truncate table customer; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/customer_demographics.sql b/regression-test/suites/tpcds_sf100_p2/ddl/customer_demographics.sql new file mode 100644 index 0000000000..652045b612 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/customer_demographics.sql @@ -0,0 +1,16 @@ +CREATE TABLE IF NOT EXISTS customer_demographics ( + cd_demo_sk bigint not null, + 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) +DISTRIBUTED BY HASH(cd_gender) BUCKETS 12 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/customer_demographics_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/customer_demographics_delete.sql new file mode 100644 index 0000000000..274ffb77fe --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/customer_demographics_delete.sql @@ -0,0 +1 @@ +truncate table customer_demographics; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/customer_demographics_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/customer_demographics_load.sql new file mode 100644 index 0000000000..ee3bc78c62 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/customer_demographics_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/customer_demographics.dat.gz") + INTO TABLE customer_demographics + COLUMNS TERMINATED BY "|" + (cd_demo_sk, 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) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/customer_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/customer_load.sql new file mode 100644 index 0000000000..e1fd15ab91 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/customer_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/customer.dat.gz") + INTO TABLE customer + COLUMNS TERMINATED BY "|" + (c_customer_sk, c_customer_id, c_current_cdemo_sk, c_current_hdemo_sk, c_current_addr_sk, c_first_shipto_date_sk, c_first_sales_date_sk, 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) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/date_dim.sql b/regression-test/suites/tpcds_sf100_p2/ddl/date_dim.sql new file mode 100644 index 0000000000..3d0c552a20 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/date_dim.sql @@ -0,0 +1,35 @@ +CREATE TABLE IF NOT EXISTS date_dim ( + d_date_sk bigint not null, + d_date_id char(16) not null, + d_date date, + 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) +DISTRIBUTED BY HASH(d_date_sk) BUCKETS 12 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/date_dim_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/date_dim_delete.sql new file mode 100644 index 0000000000..b80c10ecce --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/date_dim_delete.sql @@ -0,0 +1 @@ +truncate table date_dim; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/date_dim_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/date_dim_load.sql new file mode 100644 index 0000000000..860a625b10 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/date_dim_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/date_dim.dat.gz") + INTO TABLE date_dim + COLUMNS TERMINATED BY "|" + (d_date_sk, d_date_id, d_date, d_month_seq, d_week_seq, d_quarter_seq, d_year, d_dow, d_moy, d_dom, d_qoy, d_fy_year, d_fy_quarter_seq, d_fy_week_seq, d_day_name, d_quarter_name, d_holiday, d_weekend, d_following_holiday, d_first_dom, d_last_dom, d_same_day_ly, d_same_day_lq, d_current_day, d_current_week, d_current_month, d_current_quarter, d_current_year) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/dbgen_version.sql b/regression-test/suites/tpcds_sf100_p2/ddl/dbgen_version.sql new file mode 100644 index 0000000000..8cdcf9c266 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/dbgen_version.sql @@ -0,0 +1,11 @@ +CREATE TABLE IF NOT EXISTS dbgen_version ( + dv_version varchar(16) NULL, + dv_create_date date NULL, + dv_create_time char(10) NULL, + dv_cmdline_args varchar(200) NULL +) +DUPLICATE KEY(dv_version) +DISTRIBUTED BY HASH(dv_version) BUCKETS 1 +PROPERTIES ( +"replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/dbgen_version_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/dbgen_version_delete.sql new file mode 100644 index 0000000000..a24c7a73a7 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/dbgen_version_delete.sql @@ -0,0 +1 @@ +truncate table dbgen_version; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/dbgen_version_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/dbgen_version_load.sql new file mode 100644 index 0000000000..dea77b0054 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/dbgen_version_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/dbgen_version.dat.gz") + INTO TABLE dbgen_version + COLUMNS TERMINATED BY "|" + (dv_version, dv_create_date, dv_create_time, dv_cmdline_args) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/household_demographics.sql b/regression-test/suites/tpcds_sf100_p2/ddl/household_demographics.sql new file mode 100644 index 0000000000..3d9a6f62cf --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/household_demographics.sql @@ -0,0 +1,12 @@ +CREATE TABLE IF NOT EXISTS household_demographics ( + hd_demo_sk bigint not null, + hd_income_band_sk bigint, + hd_buy_potential char(15), + hd_dep_count integer, + hd_vehicle_count integer +) +DUPLICATE KEY(hd_demo_sk) +DISTRIBUTED BY HASH(hd_demo_sk) BUCKETS 3 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/household_demographics_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/household_demographics_delete.sql new file mode 100644 index 0000000000..8f496765ca --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/household_demographics_delete.sql @@ -0,0 +1 @@ +truncate table household_demographics; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/household_demographics_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/household_demographics_load.sql new file mode 100644 index 0000000000..e2c4b022fb --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/household_demographics_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/household_demographics.dat.gz") + INTO TABLE household_demographics + COLUMNS TERMINATED BY "|" + (hd_demo_sk, hd_income_band_sk, hd_buy_potential, hd_dep_count, hd_vehicle_count) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/income_band.sql b/regression-test/suites/tpcds_sf100_p2/ddl/income_band.sql new file mode 100644 index 0000000000..f2ab5fb5ef --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/income_band.sql @@ -0,0 +1,10 @@ +CREATE TABLE IF NOT EXISTS income_band ( + ib_income_band_sk bigint not null, + ib_lower_bound integer, + ib_upper_bound integer +) +DUPLICATE KEY(ib_income_band_sk) +DISTRIBUTED BY HASH(ib_income_band_sk) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/income_band_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/income_band_delete.sql new file mode 100644 index 0000000000..92a7fd85e5 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/income_band_delete.sql @@ -0,0 +1,2 @@ +truncate table income_band; + diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/income_band_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/income_band_load.sql new file mode 100644 index 0000000000..84018d546a --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/income_band_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/income_band.dat.gz") + INTO TABLE income_band + COLUMNS TERMINATED BY "|" + (ib_income_band_sk, ib_lower_bound, ib_upper_bound) +) diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/inventory.sql b/regression-test/suites/tpcds_sf100_p2/ddl/inventory.sql new file mode 100644 index 0000000000..f36714f8f6 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/inventory.sql @@ -0,0 +1,11 @@ +CREATE TABLE IF NOT EXISTS inventory ( + inv_date_sk bigint not null, + inv_item_sk bigint not null, + inv_warehouse_sk bigint, + inv_quantity_on_hand integer +) +DUPLICATE KEY(inv_date_sk, inv_item_sk, inv_warehouse_sk) +DISTRIBUTED BY HASH(inv_date_sk, inv_item_sk, inv_warehouse_sk) BUCKETS 32 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/inventory_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/inventory_delete.sql new file mode 100644 index 0000000000..412744df7d --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/inventory_delete.sql @@ -0,0 +1 @@ +truncate table inventory; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/inventory_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/inventory_load.sql new file mode 100644 index 0000000000..021664d24e --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/inventory_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/inventory.dat.gz") + INTO TABLE inventory + COLUMNS TERMINATED BY "|" + (inv_date_sk, inv_item_sk, inv_warehouse_sk, inv_quantity_on_hand) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/item.sql b/regression-test/suites/tpcds_sf100_p2/ddl/item.sql new file mode 100644 index 0000000000..c7ff4e23b9 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/item.sql @@ -0,0 +1,29 @@ +CREATE TABLE IF NOT EXISTS item ( + i_item_sk bigint not null, + i_item_id char(16) not null, + i_rec_start_date date, + i_rec_end_date date, + i_item_desc varchar(200), + i_current_price decimal(7,2), + i_wholesale_cost decimal(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) +DISTRIBUTED BY HASH(i_item_sk) BUCKETS 12 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/item_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/item_delete.sql new file mode 100644 index 0000000000..2e5b0613a7 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/item_delete.sql @@ -0,0 +1 @@ +truncate table item; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/item_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/item_load.sql new file mode 100644 index 0000000000..fda4aed3fd --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/item_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/item.dat.gz") + INTO TABLE item + COLUMNS TERMINATED BY "|" + (i_item_sk, i_item_id, i_rec_start_date, i_rec_end_date, i_item_desc, i_current_price, i_wholesale_cost, i_brand_id, i_brand, i_class_id, i_class, i_category_id, i_category, i_manufact_id, i_manufact, i_size, i_formulation, i_color, i_units, i_container, i_manager_id, i_product_name) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/promotion.sql b/regression-test/suites/tpcds_sf100_p2/ddl/promotion.sql new file mode 100644 index 0000000000..9fb12621eb --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/promotion.sql @@ -0,0 +1,26 @@ +CREATE TABLE IF NOT EXISTS promotion ( + p_promo_sk bigint not null, + p_promo_id char(16) not null, + p_start_date_sk bigint, + p_end_date_sk bigint, + p_item_sk bigint, + p_cost decimal(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) +DISTRIBUTED BY HASH(p_promo_sk) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/promotion_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/promotion_delete.sql new file mode 100644 index 0000000000..377dc82c38 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/promotion_delete.sql @@ -0,0 +1 @@ +truncate table promotion; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/promotion_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/promotion_load.sql new file mode 100644 index 0000000000..48faffa0ec --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/promotion_load.sql @@ -0,0 +1,7 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/promotion.dat.gz") + INTO TABLE promotion + COLUMNS TERMINATED BY "|" + (p_promo_sk, p_promo_id, p_start_date_sk, p_end_date_sk, p_item_sk, p_cost, p_response_targe, p_promo_name, p_channel_dmail, p_channel_email, p_channel_catalog, p_channel_tv, p_channel_radio, p_channel_press, p_channel_event, p_channel_demo, p_channel_details, p_purpose, p_discount_active) +) + diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/reason.sql b/regression-test/suites/tpcds_sf100_p2/ddl/reason.sql new file mode 100644 index 0000000000..9e853cd7fb --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/reason.sql @@ -0,0 +1,10 @@ +CREATE TABLE IF NOT EXISTS reason ( + r_reason_sk bigint not null, + r_reason_id char(16) not null, + r_reason_desc char(100) + ) +DUPLICATE KEY(r_reason_sk) +DISTRIBUTED BY HASH(r_reason_sk) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/reason_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/reason_delete.sql new file mode 100644 index 0000000000..de6d164bbf --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/reason_delete.sql @@ -0,0 +1,2 @@ +truncate table reason; + diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/reason_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/reason_load.sql new file mode 100644 index 0000000000..f789ee8002 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/reason_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/reason.dat.gz") + INTO TABLE reason + COLUMNS TERMINATED BY "|" + (r_reason_sk, r_reason_id, r_reason_desc) +) diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/ship_mode.sql b/regression-test/suites/tpcds_sf100_p2/ddl/ship_mode.sql new file mode 100644 index 0000000000..52431aa718 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/ship_mode.sql @@ -0,0 +1,13 @@ +CREATE TABLE IF NOT EXISTS ship_mode ( + sm_ship_mode_sk bigint not null, + sm_ship_mode_id char(16) not null, + sm_type char(30), + sm_code char(10), + sm_carrier char(20), + sm_contract char(20) +) +DUPLICATE KEY(sm_ship_mode_sk) +DISTRIBUTED BY HASH(sm_ship_mode_sk) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/ship_mode_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/ship_mode_delete.sql new file mode 100644 index 0000000000..ea3fb95b72 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/ship_mode_delete.sql @@ -0,0 +1,2 @@ +truncate table ship_mode; + diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/ship_mode_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/ship_mode_load.sql new file mode 100644 index 0000000000..4e27af8721 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/ship_mode_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/ship_mode.dat.gz") + INTO TABLE ship_mode + COLUMNS TERMINATED BY "|" + (sm_ship_mode_sk, sm_ship_mode_id, sm_type, sm_code, sm_carrier, sm_contract) +) diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/store.sql b/regression-test/suites/tpcds_sf100_p2/ddl/store.sql new file mode 100644 index 0000000000..ac23bce962 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/store.sql @@ -0,0 +1,36 @@ +CREATE TABLE IF NOT EXISTS store ( + s_store_sk bigint not null, + s_store_id char(16) not null, + s_rec_start_date date, + s_rec_end_date date, + 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 decimal(5,2), + s_tax_precentage decimal(5,2) +) +DUPLICATE KEY(s_store_sk) +DISTRIBUTED BY HASH(s_store_sk) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/store_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/store_delete.sql new file mode 100644 index 0000000000..1553a8ec74 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/store_delete.sql @@ -0,0 +1 @@ +truncate table store; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/store_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/store_load.sql new file mode 100644 index 0000000000..21853ba2ba --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/store_load.sql @@ -0,0 +1,7 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/store.dat.gz") + INTO TABLE store + COLUMNS TERMINATED BY "|" + (s_store_sk, s_store_id, s_rec_start_date, s_rec_end_date, s_closed_date_sk, s_store_name, s_number_employees, s_floor_space, s_hours, s_manager, s_market_id, s_geography_class, s_market_desc, s_market_manager, s_division_id, s_division_name, s_company_id, s_company_name, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip, s_country, s_gmt_offset, s_tax_precentage) +) + diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/store_returns.sql b/regression-test/suites/tpcds_sf100_p2/ddl/store_returns.sql new file mode 100644 index 0000000000..9b1309ba2b --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/store_returns.sql @@ -0,0 +1,28 @@ +CREATE TABLE IF NOT EXISTS store_returns ( + sr_item_sk bigint not null, + sr_ticket_number bigint not null, + sr_returned_date_sk bigint, + sr_return_time_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_return_quantity integer, + sr_return_amt decimal(7,2), + sr_return_tax decimal(7,2), + sr_return_amt_inc_tax decimal(7,2), + sr_fee decimal(7,2), + sr_return_ship_cost decimal(7,2), + sr_refunded_cash decimal(7,2), + sr_reversed_charge decimal(7,2), + sr_store_credit decimal(7,2), + sr_net_loss decimal(7,2) +) +duplicate key(sr_item_sk, sr_ticket_number) +distributed by hash (sr_item_sk, sr_ticket_number) buckets 32 +properties ( + "replication_num" = "1", + "colocate_with" = "store" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/store_returns_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/store_returns_delete.sql new file mode 100644 index 0000000000..55339219d2 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/store_returns_delete.sql @@ -0,0 +1 @@ +truncate table store_returns; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/store_returns_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/store_returns_load.sql new file mode 100644 index 0000000000..192c525df6 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/store_returns_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/store_returns.dat.gz") + INTO TABLE store_returns + COLUMNS TERMINATED BY "|" + (sr_returned_date_sk, sr_return_time_sk, sr_item_sk, sr_customer_sk, sr_cdemo_sk, sr_hdemo_sk, sr_addr_sk, sr_store_sk, sr_reason_sk, sr_ticket_number, sr_return_quantity, sr_return_amt, sr_return_tax, sr_return_amt_inc_tax, sr_fee, sr_return_ship_cost, sr_refunded_cash, sr_reversed_charge, sr_store_credit, sr_net_loss) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/store_sales.sql b/regression-test/suites/tpcds_sf100_p2/ddl/store_sales.sql new file mode 100644 index 0000000000..e69cab78d9 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/store_sales.sql @@ -0,0 +1,30 @@ +CREATE TABLE IF NOT EXISTS store_sales ( + ss_item_sk bigint not null, + ss_ticket_number bigint not null, + ss_sold_date_sk bigint, + ss_sold_time_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_quantity integer, + ss_wholesale_cost decimal(7,2), + ss_list_price decimal(7,2), + ss_sales_price decimal(7,2), + ss_ext_discount_amt decimal(7,2), + ss_ext_sales_price decimal(7,2), + ss_ext_wholesale_cost decimal(7,2), + ss_ext_list_price decimal(7,2), + ss_ext_tax decimal(7,2), + ss_coupon_amt decimal(7,2), + ss_net_paid decimal(7,2), + ss_net_paid_inc_tax decimal(7,2), + ss_net_profit decimal(7,2) +) +DUPLICATE KEY(ss_item_sk, ss_ticket_number) +DISTRIBUTED BY HASH(ss_item_sk, ss_ticket_number) BUCKETS 32 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/store_sales_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/store_sales_delete.sql new file mode 100644 index 0000000000..abd24c758f --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/store_sales_delete.sql @@ -0,0 +1 @@ +truncate table store_sales; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/store_sales_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/store_sales_load.sql new file mode 100644 index 0000000000..099efa2763 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/store_sales_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/store_sales.dat.gz") + INTO TABLE store_sales + COLUMNS TERMINATED BY "|" + (ss_sold_date_sk, ss_sold_time_sk, ss_item_sk, ss_customer_sk, ss_cdemo_sk, ss_hdemo_sk, ss_addr_sk, ss_store_sk, ss_promo_sk, ss_ticket_number, ss_quantity, ss_wholesale_cost, ss_list_price, ss_sales_price, ss_ext_discount_amt, ss_ext_sales_price, ss_ext_wholesale_cost, ss_ext_list_price, ss_ext_tax, ss_coupon_amt, ss_net_paid, ss_net_paid_inc_tax, ss_net_profit) +) diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/time_dim.sql b/regression-test/suites/tpcds_sf100_p2/ddl/time_dim.sql new file mode 100644 index 0000000000..bc3bdbba45 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/time_dim.sql @@ -0,0 +1,17 @@ +CREATE TABLE IF NOT EXISTS time_dim ( + t_time_sk bigint not null, + t_time_id char(16) not null, + 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) +DISTRIBUTED BY HASH(t_time_sk) BUCKETS 12 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/time_dim_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/time_dim_delete.sql new file mode 100644 index 0000000000..da4049080e --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/time_dim_delete.sql @@ -0,0 +1 @@ +truncate table time_dim; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/time_dim_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/time_dim_load.sql new file mode 100644 index 0000000000..aa36aea62a --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/time_dim_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/time_dim.dat.gz") + INTO TABLE time_dim + COLUMNS TERMINATED BY "|" + (t_time_sk, t_time_id, t_time, t_hour, t_minute, t_second, t_am_pm, t_shift, t_sub_shift, t_meal_time) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/warehouse.sql b/regression-test/suites/tpcds_sf100_p2/ddl/warehouse.sql new file mode 100644 index 0000000000..2c2ea29805 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/warehouse.sql @@ -0,0 +1,21 @@ +CREATE TABLE IF NOT EXISTS warehouse ( + w_warehouse_sk bigint not null, + w_warehouse_id char(16) not null, + 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 decimal(5,2) +) +DUPLICATE KEY(w_warehouse_sk) +DISTRIBUTED BY HASH(w_warehouse_sk) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/warehouse_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/warehouse_delete.sql new file mode 100644 index 0000000000..2c688c5242 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/warehouse_delete.sql @@ -0,0 +1 @@ +truncate table warehouse; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/warehouse_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/warehouse_load.sql new file mode 100644 index 0000000000..71375fd765 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/warehouse_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/warehouse.dat.gz") + INTO TABLE warehouse + COLUMNS TERMINATED BY "|" + (w_warehouse_sk, w_warehouse_id, w_warehouse_name, w_warehouse_sq_ft, w_street_number, w_street_name, w_street_type, w_suite_number, w_city, w_county, w_state, w_zip, w_country, w_gmt_offset) +) diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_page.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_page.sql new file mode 100644 index 0000000000..054521f910 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_page.sql @@ -0,0 +1,21 @@ +CREATE TABLE IF NOT EXISTS web_page ( + wp_web_page_sk bigint not null, + wp_web_page_id char(16) not null, + wp_rec_start_date date, + wp_rec_end_date date, + 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) +DISTRIBUTED BY HASH(wp_web_page_sk) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_page_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_page_delete.sql new file mode 100644 index 0000000000..d000d4765a --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_page_delete.sql @@ -0,0 +1 @@ +truncate table web_page; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_page_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_page_load.sql new file mode 100644 index 0000000000..cfe14d9aa5 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_page_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/web_page.dat.gz") + INTO TABLE web_page + COLUMNS TERMINATED BY "|" + (wp_web_page_sk, wp_web_page_id, wp_rec_start_date, wp_rec_end_date, wp_creation_date_sk, wp_access_date_sk, wp_autogen_flag, wp_customer_sk, wp_url, wp_type, wp_char_count, wp_link_count, wp_image_count, wp_max_ad_count) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_returns.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_returns.sql new file mode 100644 index 0000000000..d9cc9217d9 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_returns.sql @@ -0,0 +1,32 @@ +CREATE TABLE IF NOT EXISTS web_returns ( + wr_item_sk bigint not null, + wr_order_number bigint not null, + wr_returned_date_sk bigint, + wr_returned_time_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_return_quantity integer, + wr_return_amt decimal(7,2), + wr_return_tax decimal(7,2), + wr_return_amt_inc_tax decimal(7,2), + wr_fee decimal(7,2), + wr_return_ship_cost decimal(7,2), + wr_refunded_cash decimal(7,2), + wr_reversed_charge decimal(7,2), + wr_account_credit decimal(7,2), + wr_net_loss decimal(7,2) +) +DUPLICATE KEY(wr_item_sk, wr_order_number) +DISTRIBUTED BY HASH(wr_item_sk, wr_order_number) BUCKETS 32 +PROPERTIES ( + "replication_num" = "1", + "colocate_with" = "web" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_returns_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_returns_delete.sql new file mode 100644 index 0000000000..6a402f5163 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_returns_delete.sql @@ -0,0 +1 @@ +truncate table web_returns; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_returns_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_returns_load.sql new file mode 100644 index 0000000000..fe6c2ff844 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_returns_load.sql @@ -0,0 +1,6 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/web_returns.dat.gz") + INTO TABLE web_returns + COLUMNS TERMINATED BY "|" + (wr_returned_date_sk, wr_returned_time_sk, wr_item_sk, wr_refunded_customer_sk, wr_refunded_cdemo_sk, wr_refunded_hdemo_sk, wr_refunded_addr_sk, wr_returning_customer_sk, wr_returning_cdemo_sk, wr_returning_hdemo_sk, wr_returning_addr_sk, wr_web_page_sk, wr_reason_sk, wr_order_number, wr_return_quantity, wr_return_amt, wr_return_tax, wr_return_amt_inc_tax, wr_fee, wr_return_ship_cost, wr_refunded_cash, wr_reversed_charge, wr_account_credit, wr_net_loss) +) \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_sales.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_sales.sql new file mode 100644 index 0000000000..abf2ccdba8 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_sales.sql @@ -0,0 +1,42 @@ +CREATE TABLE IF NOT EXISTS web_sales ( + ws_item_sk bigint not null, + ws_order_number bigint not null, + ws_sold_date_sk bigint, + ws_sold_time_sk bigint, + ws_ship_date_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_quantity integer, + ws_wholesale_cost decimal(7,2), + ws_list_price decimal(7,2), + ws_sales_price decimal(7,2), + ws_ext_discount_amt decimal(7,2), + ws_ext_sales_price decimal(7,2), + ws_ext_wholesale_cost decimal(7,2), + ws_ext_list_price decimal(7,2), + ws_ext_tax decimal(7,2), + ws_coupon_amt decimal(7,2), + ws_ext_ship_cost decimal(7,2), + ws_net_paid decimal(7,2), + ws_net_paid_inc_tax decimal(7,2), + ws_net_paid_inc_ship decimal(7,2), + ws_net_paid_inc_ship_tax decimal(7,2), + ws_net_profit decimal(7,2) +) +DUPLICATE KEY(ws_item_sk, ws_order_number) +DISTRIBUTED BY HASH(ws_item_sk, ws_order_number) BUCKETS 32 +PROPERTIES ( + "replication_num" = "1", + "colocate_with" = "web" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_sales_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_sales_delete.sql new file mode 100644 index 0000000000..e1cc987c45 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_sales_delete.sql @@ -0,0 +1 @@ +truncate table web_sales; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_sales_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_sales_load.sql new file mode 100644 index 0000000000..38bb067683 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_sales_load.sql @@ -0,0 +1,7 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/web_sales.dat.gz") + INTO TABLE web_sales + COLUMNS TERMINATED BY "|" + (ws_sold_date_sk, ws_sold_time_sk, ws_ship_date_sk, ws_item_sk, ws_bill_customer_sk, ws_bill_cdemo_sk, ws_bill_hdemo_sk, ws_bill_addr_sk, ws_ship_customer_sk, ws_ship_cdemo_sk, ws_ship_hdemo_sk, ws_ship_addr_sk, ws_web_page_sk, ws_web_site_sk, ws_ship_mode_sk, ws_warehouse_sk, ws_promo_sk, ws_order_number, ws_quantity, ws_wholesale_cost, ws_list_price, ws_sales_price, ws_ext_discount_amt, ws_ext_sales_price, ws_ext_wholesale_cost, ws_ext_list_price, ws_ext_tax, ws_coupon_amt, ws_ext_ship_cost, ws_net_paid, ws_net_paid_inc_tax, ws_net_paid_inc_ship, ws_net_paid_inc_ship_tax, ws_net_profit) +) + diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_site.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_site.sql new file mode 100644 index 0000000000..444d4c8efa --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_site.sql @@ -0,0 +1,33 @@ +CREATE TABLE IF NOT EXISTS web_site ( + web_site_sk bigint not null, + web_site_id char(16) not null, + web_rec_start_date date, + web_rec_end_date date, + 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 decimal(5,2), + web_tax_percentage decimal(5,2) +) +DUPLICATE KEY(web_site_sk) +DISTRIBUTED BY HASH(web_site_sk) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +); \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_site_delete.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_site_delete.sql new file mode 100644 index 0000000000..adf7655626 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_site_delete.sql @@ -0,0 +1 @@ +truncate table web_site; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/ddl/web_site_load.sql b/regression-test/suites/tpcds_sf100_p2/ddl/web_site_load.sql new file mode 100644 index 0000000000..01eda5f89d --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/ddl/web_site_load.sql @@ -0,0 +1,7 @@ +LOAD LABEL ${loadLabel} ( + DATA INFILE("s3://${s3BucketName}/regression/tpcds/sf100/web_site.dat.gz") + INTO TABLE web_site + COLUMNS TERMINATED BY "|" + (web_site_sk, web_site_id, web_rec_start_date, web_rec_end_date, web_name, web_open_date_sk, web_close_date_sk, web_class, web_manager, web_mkt_id, web_mkt_class, web_mkt_desc, web_market_manager, web_company_id, web_company_name, web_street_number, web_street_name, web_street_type, web_suite_number, web_city, web_county, web_state, web_zip, web_country, web_gmt_offset, web_tax_percentage) +) + diff --git a/regression-test/suites/tpcds_sf100_p2/load.groovy b/regression-test/suites/tpcds_sf100_p2/load.groovy new file mode 100644 index 0000000000..fa810215c2 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/load.groovy @@ -0,0 +1,76 @@ +// 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 = ["dbgen_version":1, "income_band":20, "ship_mode":20, "warehouse":15, "reason": 55, + "web_site":24, "call_center":30, "store":402, "promotion": 1000, + "household_demographics":7200, "web_page":2040, "catalog_page":20400, + "time_dim":86400, "date_dim":73049, "item":204000, "customer_demographics":1920800, + "customer_address":1000000, "customer":2000000, "web_returns":7197670, + "catalog_returns":14404374, "store_returns":28795080, "inventory":399330000, + "web_sales":72001237, "catalog_sales":143997065, "store_sales":287997024] + def s3BucketName = getS3BucketName() + def s3WithProperties = """WITH S3 ( + |"AWS_ACCESS_KEY" = "${getS3AK()}", + |"AWS_SECRET_KEY" = "${getS3SK()}", + |"AWS_ENDPOINT" = "${getS3Endpoint()}", + |"AWS_REGION" = "${getS3Region()}") + |PROPERTIES( + |"exec_mem_limit" = "8589934592", + |"load_parallelism" = "3")""".stripMargin() + + // set fe configuration + sql "ADMIN SET FRONTEND CONFIG ('max_bytes_per_broker_scanner' = '161061273600')" + + sql "set global exec_mem_limit=16G;" + + def uniqueID = Math.abs(UUID.randomUUID().hashCode()).toString() + tables.each { table, rows -> + // create table if not exists + sql new File("""${context.file.parent}/ddl/${table}.sql""").text + + // check row count + def rowCount = sql "select count(*) from ${table}" + if (rowCount[0][0] != rows) { + def loadLabel = table + '_' + uniqueID + sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text + + // load data from cos + def loadSql = new File("""${context.file.parent}/ddl/${table}_load.sql""").text.replaceAll("\\\$\\{s3BucketName\\}", s3BucketName) + loadSql = loadSql.replaceAll("\\\$\\{loadLabel\\}", loadLabel) + s3WithProperties + sql loadSql + + // check load state + while (true) { + def stateResult = sql "show load where Label = '${loadLabel}'" + def loadState = stateResult[stateResult.size() - 1][2].toString() + if ('CANCELLED'.equalsIgnoreCase(loadState)) { + throw new IllegalStateException("load ${loadLabel} failed.") + } else if ('FINISHED'.equalsIgnoreCase(loadState)) { + break + } + sleep(5000) + } + rowCount = sql "select count(*) from ${table}" + } + assertEquals(rows, rowCount[0][0]) + } +} \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q01.sql b/regression-test/suites/tpcds_sf100_p2/sql/q01.sql new file mode 100644 index 0000000000..53912d4ae5 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q01.sql @@ -0,0 +1,29 @@ +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) * CAST('1.2' AS DECIMAL(10,2))) + 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/tpcds_sf100_p2/sql/q02.sql b/regression-test/suites/tpcds_sf100_p2/sql/q02.sql new file mode 100644 index 0000000000..a51698eab8 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q02.sql @@ -0,0 +1,80 @@ +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/tpcds_sf100_p2/sql/q03.sql b/regression-test/suites/tpcds_sf100_p2/sql/q03.sql new file mode 100644 index 0000000000..5d2f98937d --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q03.sql @@ -0,0 +1,16 @@ +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/tpcds_sf100_p2/sql/q04.sql b/regression-test/suites/tpcds_sf100_p2/sql/q04.sql new file mode 100644 index 0000000000..31dc8aee76 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q04.sql @@ -0,0 +1,93 @@ +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/tpcds_sf100_p2/sql/q05.sql b/regression-test/suites/tpcds_sf100_p2/sql/q05.sql new file mode 100644 index 0000000000..5d3bc2cf0d --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q05.sql @@ -0,0 +1,146 @@ +-- exec_mem_limit=16G时跑不出来,报 Memory exceed limit + +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 DECIMAL(7,2)) return_amt + , CAST(0 AS DECIMAL(7,2)) net_loss + FROM + store_sales +UNION ALL SELECT + sr_store_sk store_sk + , sr_returned_date_sk date_sk + , CAST(0 AS DECIMAL(7,2)) sales_price + , CAST(0 AS DECIMAL(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 DECIMAL(7,2)) return_amt + , CAST(0 AS DECIMAL(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 DECIMAL(7,2)) sales_price + , CAST(0 AS DECIMAL(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 DECIMAL(7,2)) return_amt + , CAST(0 AS DECIMAL(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 DECIMAL(7,2)) sales_price + , CAST(0 AS DECIMAL(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/tpcds_sf100_p2/sql/q06.sql b/regression-test/suites/tpcds_sf100_p2/sql/q06.sql new file mode 100644 index 0000000000..f537e6cc37 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q06.sql @@ -0,0 +1,30 @@ +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 > (CAST('1.2' AS DECIMAL(10,2)) * ( + 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/tpcds_sf100_p2/sql/q07.sql b/regression-test/suites/tpcds_sf100_p2/sql/q07.sql new file mode 100644 index 0000000000..876951d75e --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q07.sql @@ -0,0 +1,25 @@ +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/tpcds_sf100_p2/sql/q08.sql b/regression-test/suites/tpcds_sf100_p2/sql/q08.sql new file mode 100644 index 0000000000..10e71792f8 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q08.sql @@ -0,0 +1,441 @@ +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/tpcds_sf100_p2/sql/q09.sql b/regression-test/suites/tpcds_sf100_p2/sql/q09.sql new file mode 100644 index 0000000000..52799a6077 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q09.sql @@ -0,0 +1,84 @@ +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/tpcds_sf100_p2/sql/q10.sql b/regression-test/suites/tpcds_sf100_p2/sql/q10.sql new file mode 100644 index 0000000000..d2645db5d6 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q10.sql @@ -0,0 +1,59 @@ +-- Subqueries in OR predicates are not supported + +/* +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/tpcds_sf100_p2/sql/q11.sql b/regression-test/suites/tpcds_sf100_p2/sql/q11.sql new file mode 100644 index 0000000000..2eb8bb8b24 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q11.sql @@ -0,0 +1,67 @@ +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 CAST('0.0' AS DECIMAL(10,2)) END) > (CASE WHEN (t_s_firstyear.year_total > 0) THEN (t_s_secyear.year_total / t_s_firstyear.year_total) ELSE CAST('0.0' AS DECIMAL(10,2)) 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/tpcds_sf100_p2/sql/q12.sql b/regression-test/suites/tpcds_sf100_p2/sql/q12.sql new file mode 100644 index 0000000000..d2cf433a6f --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q12.sql @@ -0,0 +1,19 @@ +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/tpcds_sf100_p2/sql/q13.sql b/regression-test/suites/tpcds_sf100_p2/sql/q13.sql new file mode 100644 index 0000000000..e692002b2e --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q13.sql @@ -0,0 +1,45 @@ +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 CAST('100.00' AS DECIMAL(10,2)) AND CAST('150.00' AS DECIMAL(10,2))) + 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 CAST('50.00' AS DECIMAL(10,2)) AND CAST('100.00' AS DECIMAL(10,2))) + 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 CAST('150.00' AS DECIMAL(10,2)) AND CAST('200.00' AS DECIMAL(10,2))) + 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/tpcds_sf100_p2/sql/q14_1.sql b/regression-test/suites/tpcds_sf100_p2/sql/q14_1.sql new file mode 100644 index 0000000000..df46c53413 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q14_1.sql @@ -0,0 +1,167 @@ +-- peak mem beyond 34G, be was killed by system. + +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/tpcds_sf100_p2/sql/q14_2.sql b/regression-test/suites/tpcds_sf100_p2/sql/q14_2.sql new file mode 100644 index 0000000000..cafed56bdf --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q14_2.sql @@ -0,0 +1,151 @@ +-- peak mem beyond 34G, (1 min 43.22 sec) + +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/tpcds_sf100_p2/sql/q15.sql b/regression-test/suites/tpcds_sf100_p2/sql/q15.sql new file mode 100644 index 0000000000..b6c39dbe87 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q15.sql @@ -0,0 +1,19 @@ +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/tpcds_sf100_p2/sql/q16.sql b/regression-test/suites/tpcds_sf100_p2/sql/q16.sql new file mode 100644 index 0000000000..b44ea40177 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q16.sql @@ -0,0 +1,30 @@ +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/tpcds_sf100_p2/sql/q17.sql b/regression-test/suites/tpcds_sf100_p2/sql/q17.sql new file mode 100644 index 0000000000..0877b43df5 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q17.sql @@ -0,0 +1,41 @@ +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/tpcds_sf100_p2/sql/q18.sql b/regression-test/suites/tpcds_sf100_p2/sql/q18.sql new file mode 100644 index 0000000000..ebaac161dc --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q18.sql @@ -0,0 +1,34 @@ +SELECT + i_item_id +, ca_country +, ca_state +, ca_county +, avg(CAST(cs_quantity AS DECIMAL(12,2))) agg1 +, avg(CAST(cs_list_price AS DECIMAL(12,2))) agg2 +, avg(CAST(cs_coupon_amt AS DECIMAL(12,2))) agg3 +, avg(CAST(cs_sales_price AS DECIMAL(12,2))) agg4 +, avg(CAST(cs_net_profit AS DECIMAL(12,2))) agg5 +, avg(CAST(c_birth_year AS DECIMAL(12,2))) agg6 +, avg(CAST(cd1.cd_dep_count AS DECIMAL(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/tpcds_sf100_p2/sql/q19.sql b/regression-test/suites/tpcds_sf100_p2/sql/q19.sql new file mode 100644 index 0000000000..e0c6c36b57 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q19.sql @@ -0,0 +1,29 @@ +-- select count(*) from customer_address, store where substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5); +-- tpcds_sf1: doris(581008), sr(599476) + +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 +; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q20.sql b/regression-test/suites/tpcds_sf100_p2/sql/q20.sql new file mode 100644 index 0000000000..5909b83e0b --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q20.sql @@ -0,0 +1,19 @@ +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/tpcds_sf100_p2/sql/q21.sql b/regression-test/suites/tpcds_sf100_p2/sql/q21.sql new file mode 100644 index 0000000000..34ce774ae2 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q21.sql @@ -0,0 +1,23 @@ +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 CAST('0.99' AS DECIMAL(10,2)) AND CAST('1.49' AS DECIMAL(10,2))) + 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 (CAST(inv_after AS DECIMAL(7,2)) / inv_before) ELSE null END) BETWEEN (CAST('2.00' AS DECIMAL(10,2)) / CAST('3.00' AS DECIMAL(10,2))) AND (CAST('3.00' AS DECIMAL(10,2)) / CAST('2.00' AS DECIMAL(10,2)))) +ORDER BY w_warehouse_name ASC, i_item_id ASC +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q22.sql b/regression-test/suites/tpcds_sf100_p2/sql/q22.sql new file mode 100644 index 0000000000..152f87b761 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q22.sql @@ -0,0 +1,16 @@ +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/tpcds_sf100_p2/sql/q23_1.sql b/regression-test/suites/tpcds_sf100_p2/sql/q23_1.sql new file mode 100644 index 0000000000..eba5ad1803 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q23_1.sql @@ -0,0 +1,90 @@ +-- peak mem up to 25G, but after a while, mem down to 8G, and query return error: Memory exceed 16G limit + +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 / CAST('100.0' AS DECIMAL(10,2))) * ( + 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/tpcds_sf100_p2/sql/q23_2.sql b/regression-test/suites/tpcds_sf100_p2/sql/q23_2.sql new file mode 100644 index 0000000000..7fd4af46eb --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q23_2.sql @@ -0,0 +1,106 @@ +--peak mem up to 25G, but after a while, mem down to 8G, few seconds later query return error: Memory exceed 16G limit. + +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 / CAST('100.0' AS DECIMAL(10,2))) * ( + 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/tpcds_sf100_p2/sql/q24_1.sql b/regression-test/suites/tpcds_sf100_p2/sql/q24_1.sql new file mode 100644 index 0000000000..71711c8579 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q24_1.sql @@ -0,0 +1,46 @@ +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 (CAST('0.05' AS DECIMAL(10,2)) * avg(netpaid)) + FROM + ssales + )) +ORDER BY c_last_name, c_first_name, s_store_name; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q24_2.sql b/regression-test/suites/tpcds_sf100_p2/sql/q24_2.sql new file mode 100644 index 0000000000..b8f7099eb4 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q24_2.sql @@ -0,0 +1,46 @@ +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 (CAST('0.05' AS DECIMAL(10,2)) * avg(netpaid)) + FROM + ssales + )) +ORDER BY c_last_name, c_first_name, s_store_name; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q25.sql b/regression-test/suites/tpcds_sf100_p2/sql/q25.sql new file mode 100644 index 0000000000..612501401c --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q25.sql @@ -0,0 +1,36 @@ +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/tpcds_sf100_p2/sql/q26.sql b/regression-test/suites/tpcds_sf100_p2/sql/q26.sql new file mode 100644 index 0000000000..befdee9bee --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q26.sql @@ -0,0 +1,25 @@ +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/tpcds_sf100_p2/sql/q27.sql b/regression-test/suites/tpcds_sf100_p2/sql/q27.sql new file mode 100644 index 0000000000..a0492d3a60 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q27.sql @@ -0,0 +1,32 @@ +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/tpcds_sf100_p2/sql/q28.sql b/regression-test/suites/tpcds_sf100_p2/sql/q28.sql new file mode 100644 index 0000000000..17744816df --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q28.sql @@ -0,0 +1,75 @@ +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/tpcds_sf100_p2/sql/q29.sql b/regression-test/suites/tpcds_sf100_p2/sql/q29.sql new file mode 100644 index 0000000000..17c9ccaf12 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q29.sql @@ -0,0 +1,37 @@ +-- exec_mem_limit=16G时跑不出来,报 Memory exceed limit + +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/tpcds_sf100_p2/sql/q30.sql b/regression-test/suites/tpcds_sf100_p2/sql/q30.sql new file mode 100644 index 0000000000..7df14bb73c --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q30.sql @@ -0,0 +1,44 @@ +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) * CAST('1.2' AS DECIMAL(10,2))) + 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; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q31.sql b/regression-test/suites/tpcds_sf100_p2/sql/q31.sql new file mode 100644 index 0000000000..ccb61dec51 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q31.sql @@ -0,0 +1,63 @@ +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 (CAST(ws2.web_sales AS DECIMAL(27,3)) / ws1.web_sales) ELSE null END) > (CASE WHEN (ss1.store_sales > 0) THEN (CAST(ss2.store_sales AS DECIMAL(27,3)) / ss1.store_sales) ELSE null END)) + AND ((CASE WHEN (ws2.web_sales > 0) THEN (CAST(ws3.web_sales AS DECIMAL(27,3)) / ws2.web_sales) ELSE null END) > (CASE WHEN (ss2.store_sales > 0) THEN (CAST(ss3.store_sales AS DECIMAL(27,3)) / ss2.store_sales) ELSE null END)) +ORDER BY ss1.ca_county ASC; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q32.sql b/regression-test/suites/tpcds_sf100_p2/sql/q32.sql new file mode 100644 index 0000000000..1d6edee232 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q32.sql @@ -0,0 +1,19 @@ +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 (CAST('1.3' AS DECIMAL(10,2)) * 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/tpcds_sf100_p2/sql/q33.sql b/regression-test/suites/tpcds_sf100_p2/sql/q33.sql new file mode 100644 index 0000000000..61d3fe1a10 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q33.sql @@ -0,0 +1,88 @@ +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/tpcds_sf100_p2/sql/q34.sql b/regression-test/suites/tpcds_sf100_p2/sql/q34.sql new file mode 100644 index 0000000000..9fc042231c --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q34.sql @@ -0,0 +1,35 @@ +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 (CAST(household_demographics.hd_dep_count AS DECIMAL(7,2)) / household_demographics.hd_vehicle_count) ELSE null END) > CAST('1.2' AS DECIMAL(10,2))) + 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/tpcds_sf100_p2/sql/q35.sql b/regression-test/suites/tpcds_sf100_p2/sql/q35.sql new file mode 100644 index 0000000000..4afe004d0f --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q35.sql @@ -0,0 +1,62 @@ +-- Subqueries in OR predicates are not supported + +/* +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/tpcds_sf100_p2/sql/q36.sql b/regression-test/suites/tpcds_sf100_p2/sql/q36.sql new file mode 100644 index 0000000000..68b7620f79 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q36.sql @@ -0,0 +1,27 @@ +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/tpcds_sf100_p2/sql/q37.sql b/regression-test/suites/tpcds_sf100_p2/sql/q37.sql new file mode 100644 index 0000000000..e82d563e6a --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q37.sql @@ -0,0 +1,21 @@ +-- exec_mem_limit=16G时跑不出来,报 Memory exceed limit + +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/tpcds_sf100_p2/sql/q38.sql b/regression-test/suites/tpcds_sf100_p2/sql/q38.sql new file mode 100644 index 0000000000..bbad41a2a5 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q38.sql @@ -0,0 +1,38 @@ +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/tpcds_sf100_p2/sql/q39_1.sql b/regression-test/suites/tpcds_sf100_p2/sql/q39_1.sql new file mode 100644 index 0000000000..e74fe0a924 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q39_1.sql @@ -0,0 +1,51 @@ +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/tpcds_sf100_p2/sql/q39_2.sql b/regression-test/suites/tpcds_sf100_p2/sql/q39_2.sql new file mode 100644 index 0000000000..6f95a6409a --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q39_2.sql @@ -0,0 +1,52 @@ +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 > CAST('1.5' AS DECIMAL(10,2))) +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/tpcds_sf100_p2/sql/q40.sql b/regression-test/suites/tpcds_sf100_p2/sql/q40.sql new file mode 100644 index 0000000000..003a6e1405 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q40.sql @@ -0,0 +1,20 @@ +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 CAST('0.99' AS DECIMAL(10,2)) AND CAST('1.49' AS DECIMAL(10,2))) + 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/tpcds_sf100_p2/sql/q41.sql b/regression-test/suites/tpcds_sf100_p2/sql/q41.sql new file mode 100644 index 0000000000..2ad065c043 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q41.sql @@ -0,0 +1,69 @@ +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/tpcds_sf100_p2/sql/q42.sql b/regression-test/suites/tpcds_sf100_p2/sql/q42.sql new file mode 100644 index 0000000000..c582934fc5 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q42.sql @@ -0,0 +1,17 @@ +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/tpcds_sf100_p2/sql/q43.sql b/regression-test/suites/tpcds_sf100_p2/sql/q43.sql new file mode 100644 index 0000000000..c8d940cf00 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q43.sql @@ -0,0 +1,21 @@ +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/tpcds_sf100_p2/sql/q44.sql b/regression-test/suites/tpcds_sf100_p2/sql/q44.sql new file mode 100644 index 0000000000..60555b21da --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q44.sql @@ -0,0 +1,68 @@ +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) > (CAST('0.9' AS DECIMAL(10,2)) * ( + 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(10,2)) * ( + 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/tpcds_sf100_p2/sql/q45.sql b/regression-test/suites/tpcds_sf100_p2/sql/q45.sql new file mode 100644 index 0000000000..9dce09d351 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q45.sql @@ -0,0 +1,30 @@ +-- Subqueries in OR predicates are not supported + +/* +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/tpcds_sf100_p2/sql/q46.sql b/regression-test/suites/tpcds_sf100_p2/sql/q46.sql new file mode 100644 index 0000000000..70ac004110 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q46.sql @@ -0,0 +1,40 @@ +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/tpcds_sf100_p2/sql/q47.sql b/regression-test/suites/tpcds_sf100_p2/sql/q47.sql new file mode 100644 index 0000000000..3ace430948 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q47.sql @@ -0,0 +1,62 @@ +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) > CAST('0.1' AS DECIMAL(10,2))) +ORDER BY (sum_sales - avg_monthly_sales) ASC, 3 ASC +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q48.sql b/regression-test/suites/tpcds_sf100_p2/sql/q48.sql new file mode 100644 index 0000000000..85abbb6e72 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q48.sql @@ -0,0 +1,34 @@ +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 CAST('100.00' AS DECIMAL(10,2)) AND CAST('150.00' AS DECIMAL(10,2)))) + OR ((cd_demo_sk = ss_cdemo_sk) + AND (cd_marital_status = 'D') + AND (cd_education_status = '2 yr Degree') + AND (ss_sales_price BETWEEN CAST('50.00' AS DECIMAL(10,2)) AND CAST('100.00' AS DECIMAL(10,2)))) + OR ((cd_demo_sk = ss_cdemo_sk) + AND (cd_marital_status = 'S') + AND (cd_education_status = 'College') + AND (ss_sales_price BETWEEN CAST('150.00' AS DECIMAL(10,2)) AND CAST('200.00' AS DECIMAL(10,2))))) + 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/tpcds_sf100_p2/sql/q49.sql b/regression-test/suites/tpcds_sf100_p2/sql/q49.sql new file mode 100644 index 0000000000..9a8d851dd7 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q49.sql @@ -0,0 +1,118 @@ +-- 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 DECIMAL(15,4)) / CAST(sum(COALESCE(ws.ws_quantity, 0)) AS DECIMAL(15,4))) return_ratio + , (CAST(sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(ws.ws_net_paid, 0)) AS DECIMAL(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 DECIMAL(15,4)) / CAST(sum(COALESCE(cs.cs_quantity, 0)) AS DECIMAL(15,4))) return_ratio + , (CAST(sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(cs.cs_net_paid, 0)) AS DECIMAL(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 DECIMAL(15,4)) / CAST(sum(COALESCE(sts.ss_quantity, 0)) AS DECIMAL(15,4))) return_ratio + , (CAST(sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(sts.ss_net_paid, 0)) AS DECIMAL(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/tpcds_sf100_p2/sql/q49_rewrite.sql b/regression-test/suites/tpcds_sf100_p2/sql/q49_rewrite.sql new file mode 100644 index 0000000000..20c373bbb5 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q49_rewrite.sql @@ -0,0 +1,113 @@ +(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 DECIMAL(15,4)) / CAST(sum(COALESCE(ws.ws_quantity, 0)) AS DECIMAL(15,4))) return_ratio + , (CAST(sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(ws.ws_net_paid, 0)) AS DECIMAL(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 DECIMAL(15,4)) / CAST(sum(COALESCE(cs.cs_quantity, 0)) AS DECIMAL(15,4))) return_ratio + , (CAST(sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(cs.cs_net_paid, 0)) AS DECIMAL(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 DECIMAL(15,4)) / CAST(sum(COALESCE(sts.ss_quantity, 0)) AS DECIMAL(15,4))) return_ratio + , (CAST(sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(sts.ss_net_paid, 0)) AS DECIMAL(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/tpcds_sf100_p2/sql/q50.sql b/regression-test/suites/tpcds_sf100_p2/sql/q50.sql new file mode 100644 index 0000000000..abc0883e18 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q50.sql @@ -0,0 +1,36 @@ +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/tpcds_sf100_p2/sql/q51.sql b/regression-test/suites/tpcds_sf100_p2/sql/q51.sql new file mode 100644 index 0000000000..bc31287d92 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q51.sql @@ -0,0 +1,55 @@ +-- 耗时长,容易timeout + +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/tpcds_sf100_p2/sql/q52.sql b/regression-test/suites/tpcds_sf100_p2/sql/q52.sql new file mode 100644 index 0000000000..82430964b7 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q52.sql @@ -0,0 +1,17 @@ +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/tpcds_sf100_p2/sql/q53.sql b/regression-test/suites/tpcds_sf100_p2/sql/q53.sql new file mode 100644 index 0000000000..7abdffc3e3 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q53.sql @@ -0,0 +1,27 @@ +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((CAST(sum_sales AS DECIMAL(27,4)) - avg_quarterly_sales)) / avg_quarterly_sales) ELSE null END) > CAST('0.1' AS DECIMAL(10,2))) +ORDER BY avg_quarterly_sales ASC, sum_sales ASC, i_manufact_id ASC +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q54.sql b/regression-test/suites/tpcds_sf100_p2/sql/q54.sql new file mode 100644 index 0000000000..6282de4e09 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q54.sql @@ -0,0 +1,78 @@ +-- 能跑出来时内存使用近30G,100 rows in set (1 min 34.19 sec) +-- exec_mem_limit=16G时跑不出来,报Memory exceed limit + +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/tpcds_sf100_p2/sql/q55.sql b/regression-test/suites/tpcds_sf100_p2/sql/q55.sql new file mode 100644 index 0000000000..006db899be --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q55.sql @@ -0,0 +1,16 @@ +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/tpcds_sf100_p2/sql/q56.sql b/regression-test/suites/tpcds_sf100_p2/sql/q56.sql new file mode 100644 index 0000000000..c9261bcabc --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q56.sql @@ -0,0 +1,88 @@ +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/tpcds_sf100_p2/sql/q57.sql b/regression-test/suites/tpcds_sf100_p2/sql/q57.sql new file mode 100644 index 0000000000..b9ec1d6e8f --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q57.sql @@ -0,0 +1,58 @@ +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) > CAST('0.1' AS DECIMAL(10,2))) +ORDER BY (sum_sales - avg_monthly_sales) ASC, 3 ASC +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q58.sql b/regression-test/suites/tpcds_sf100_p2/sql/q58.sql new file mode 100644 index 0000000000..761083e05c --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q58.sql @@ -0,0 +1,93 @@ +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 +, CAST((((ss_item_rev / ((CAST(ss_item_rev AS DECIMAL(16,7)) + cs_item_rev) + ws_item_rev)) / 3) * 100) AS DECIMAL(7,2)) ss_dev +, cs_item_rev +, CAST((((cs_item_rev / ((CAST(ss_item_rev AS DECIMAL(16,7)) + cs_item_rev) + ws_item_rev)) / 3) * 100) AS DECIMAL(7,2)) cs_dev +, ws_item_rev +, CAST((((ws_item_rev / ((CAST(ss_item_rev AS DECIMAL(16,7)) + cs_item_rev) + ws_item_rev)) / 3) * 100) AS DECIMAL(7,2)) 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 (CAST('0.9' AS DECIMAL(10,2)) * cs_item_rev) AND (CAST('1.1' AS DECIMAL(10,2)) * cs_item_rev)) + AND (ss_item_rev BETWEEN (CAST('0.9' AS DECIMAL(10,2)) * ws_item_rev) AND (CAST('1.1' AS DECIMAL(10,2)) * ws_item_rev)) + AND (cs_item_rev BETWEEN (CAST('0.9' AS DECIMAL(10,2)) * ss_item_rev) AND (CAST('1.1' AS DECIMAL(10,2)) * ss_item_rev)) + AND (cs_item_rev BETWEEN (CAST('0.9' AS DECIMAL(10,2)) * ws_item_rev) AND (CAST('1.1' AS DECIMAL(10,2)) * ws_item_rev)) + AND (ws_item_rev BETWEEN (CAST('0.9' AS DECIMAL(10,2)) * ss_item_rev) AND (CAST('1.1' AS DECIMAL(10,2)) * ss_item_rev)) + AND (ws_item_rev BETWEEN (CAST('0.9' AS DECIMAL(10,2)) * cs_item_rev) AND (CAST('1.1' AS DECIMAL(10,2)) * cs_item_rev)) +ORDER BY ss_items.item_id ASC, ss_item_rev ASC +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q59.sql b/regression-test/suites/tpcds_sf100_p2/sql/q59.sql new file mode 100644 index 0000000000..691805dc38 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q59.sql @@ -0,0 +1,74 @@ +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/tpcds_sf100_p2/sql/q60.sql b/regression-test/suites/tpcds_sf100_p2/sql/q60.sql new file mode 100644 index 0000000000..21a2fe7d87 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q60.sql @@ -0,0 +1,88 @@ +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/tpcds_sf100_p2/sql/q61.sql b/regression-test/suites/tpcds_sf100_p2/sql/q61.sql new file mode 100644 index 0000000000..c5818d3c3f --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q61.sql @@ -0,0 +1,52 @@ +SELECT + promotions +, total +, ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(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/tpcds_sf100_p2/sql/q62.sql b/regression-test/suites/tpcds_sf100_p2/sql/q62.sql new file mode 100644 index 0000000000..9d01d97552 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q62.sql @@ -0,0 +1,26 @@ +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/tpcds_sf100_p2/sql/q63.sql b/regression-test/suites/tpcds_sf100_p2/sql/q63.sql new file mode 100644 index 0000000000..877d6af430 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q63.sql @@ -0,0 +1,27 @@ +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) > CAST('0.1' AS DECIMAL(10,2))) +ORDER BY i_manager_id ASC, avg_monthly_sales ASC, sum_sales ASC +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q64.sql b/regression-test/suites/tpcds_sf100_p2/sql/q64.sql new file mode 100644 index 0000000000..bc987d238b --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q64.sql @@ -0,0 +1,110 @@ +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/tpcds_sf100_p2/sql/q65.sql b/regression-test/suites/tpcds_sf100_p2/sql/q65.sql new file mode 100644 index 0000000000..08da2e8582 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q65.sql @@ -0,0 +1,47 @@ +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 <= (CAST('0.1' AS DECIMAL(10,2)) * 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, sc.revenue, i_current_price, i_wholesale_cost, i_brand +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q66.sql b/regression-test/suites/tpcds_sf100_p2/sql/q66.sql new file mode 100644 index 0000000000..bd46e448f4 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q66.sql @@ -0,0 +1,146 @@ +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/tpcds_sf100_p2/sql/q67.sql b/regression-test/suites/tpcds_sf100_p2/sql/q67.sql new file mode 100644 index 0000000000..46c6816244 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q67.sql @@ -0,0 +1,43 @@ +-- peak mem beyond 24G, be was killed by system. Maybe query timeout + +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/tpcds_sf100_p2/sql/q68.sql b/regression-test/suites/tpcds_sf100_p2/sql/q68.sql new file mode 100644 index 0000000000..c131c2412e --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q68.sql @@ -0,0 +1,42 @@ +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/tpcds_sf100_p2/sql/q69.sql b/regression-test/suites/tpcds_sf100_p2/sql/q69.sql new file mode 100644 index 0000000000..d6758e77c6 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q69.sql @@ -0,0 +1,49 @@ +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/tpcds_sf100_p2/sql/q70.sql b/regression-test/suites/tpcds_sf100_p2/sql/q70.sql new file mode 100644 index 0000000000..693829d63e --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q70.sql @@ -0,0 +1,34 @@ +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/tpcds_sf100_p2/sql/q71.sql b/regression-test/suites/tpcds_sf100_p2/sql/q71.sql new file mode 100644 index 0000000000..de026967c7 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q71.sql @@ -0,0 +1,52 @@ +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, t_hour, t_minute, ext_price +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q72.sql b/regression-test/suites/tpcds_sf100_p2/sql/q72.sql new file mode 100644 index 0000000000..09c6a73257 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q72.sql @@ -0,0 +1,31 @@ +-- -- exec_mem_limit=16G时跑不出来,报 Memory exceed limit + +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/tpcds_sf100_p2/sql/q73.sql b/regression-test/suites/tpcds_sf100_p2/sql/q73.sql new file mode 100644 index 0000000000..bd05ea3208 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q73.sql @@ -0,0 +1,34 @@ +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 (CAST(household_demographics.hd_dep_count AS DECIMAL(7,2)) / 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, c_first_name, c_salutation; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q74.sql b/regression-test/suites/tpcds_sf100_p2/sql/q74.sql new file mode 100644 index 0000000000..96915ef52c --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q74.sql @@ -0,0 +1,58 @@ +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/tpcds_sf100_p2/sql/q75.sql b/regression-test/suites/tpcds_sf100_p2/sql/q75.sql new file mode 100644 index 0000000000..4728228137 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q75.sql @@ -0,0 +1,83 @@ +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, CAST('0.0' AS DECIMAL(10,2)))) 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, CAST('0.0' AS DECIMAL(10,2)))) 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, CAST('0.0' AS DECIMAL(10,2)))) 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 DECIMAL(17,2)) / CAST(prev_yr.sales_cnt AS DECIMAL(17,2))) < CAST('0.9' AS DECIMAL(10,2))) +ORDER BY sales_cnt_diff ASC, sales_amt_diff ASC +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q76.sql b/regression-test/suites/tpcds_sf100_p2/sql/q76.sql new file mode 100644 index 0000000000..3808ad12de --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q76.sql @@ -0,0 +1,56 @@ +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/tpcds_sf100_p2/sql/q77.sql b/regression-test/suites/tpcds_sf100_p2/sql/q77.sql new file mode 100644 index 0000000000..872bc1206c --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q77.sql @@ -0,0 +1,120 @@ +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/tpcds_sf100_p2/sql/q78.sql b/regression-test/suites/tpcds_sf100_p2/sql/q78.sql new file mode 100644 index 0000000000..45f161ddf7 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q78.sql @@ -0,0 +1,75 @@ +-- exec_mem_limit=16G时跑不出来,报 Memory exceed limit + +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((CAST(ss_qty AS DECIMAL(10,2)) / 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((CAST(ss_qty AS DECIMAL(10,2)) / COALESCE((ws_qty + cs_qty), 1)), 2) ASC +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q79.sql b/regression-test/suites/tpcds_sf100_p2/sql/q79.sql new file mode 100644 index 0000000000..454e32fb24 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q79.sql @@ -0,0 +1,34 @@ +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/tpcds_sf100_p2/sql/q80.sql b/regression-test/suites/tpcds_sf100_p2/sql/q80.sql new file mode 100644 index 0000000000..36101071d5 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q80.sql @@ -0,0 +1,106 @@ +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/tpcds_sf100_p2/sql/q81.sql b/regression-test/suites/tpcds_sf100_p2/sql/q81.sql new file mode 100644 index 0000000000..8e42437703 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q81.sql @@ -0,0 +1,47 @@ +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) * CAST('1.2' AS DECIMAL(10,2))) + 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/tpcds_sf100_p2/sql/q82.sql b/regression-test/suites/tpcds_sf100_p2/sql/q82.sql new file mode 100644 index 0000000000..4ee58dbe17 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q82.sql @@ -0,0 +1,21 @@ +-- exec_mem_limit=16G时跑不出来,报 Memory exceed limit + +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/tpcds_sf100_p2/sql/q83.sql b/regression-test/suites/tpcds_sf100_p2/sql/q83.sql new file mode 100644 index 0000000000..e2dc4bdca4 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q83.sql @@ -0,0 +1,87 @@ +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 +, CAST((((sr_item_qty / ((CAST(sr_item_qty AS DECIMAL(9,4)) + cr_item_qty) + wr_item_qty)) / CAST('3.0' AS DECIMAL(10,2))) * 100) AS DECIMAL(7,2)) sr_dev +, cr_item_qty +, CAST((((cr_item_qty / ((CAST(sr_item_qty AS DECIMAL(9,4)) + cr_item_qty) + wr_item_qty)) / CAST('3.0' AS DECIMAL(10,2))) * 100) AS DECIMAL(7,2)) cr_dev +, wr_item_qty +, CAST((((wr_item_qty / ((CAST(sr_item_qty AS DECIMAL(9,4)) + cr_item_qty) + wr_item_qty)) / CAST('3.0' AS DECIMAL(10,2))) * 100) AS DECIMAL(7,2)) wr_dev +, (((sr_item_qty + cr_item_qty) + wr_item_qty) / CAST('3.00' AS DECIMAL(10,2))) 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/tpcds_sf100_p2/sql/q84.sql b/regression-test/suites/tpcds_sf100_p2/sql/q84.sql new file mode 100644 index 0000000000..2bd657ed1c --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q84.sql @@ -0,0 +1,20 @@ +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/tpcds_sf100_p2/sql/q85.sql b/regression-test/suites/tpcds_sf100_p2/sql/q85.sql new file mode 100644 index 0000000000..6ae031b2a8 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q85.sql @@ -0,0 +1,50 @@ +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 CAST('100.00' AS DECIMAL(10,2)) AND CAST('150.00' AS DECIMAL(10,2)))) + 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 CAST('50.00' AS DECIMAL(10,2)) AND CAST('100.00' AS DECIMAL(10,2)))) + 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 CAST('150.00' AS DECIMAL(10,2)) AND CAST('200.00' AS DECIMAL(10,2))))) + 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/tpcds_sf100_p2/sql/q86.sql b/regression-test/suites/tpcds_sf100_p2/sql/q86.sql new file mode 100644 index 0000000000..f86c3a7b14 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q86.sql @@ -0,0 +1,16 @@ +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/tpcds_sf100_p2/sql/q87.sql b/regression-test/suites/tpcds_sf100_p2/sql/q87.sql new file mode 100644 index 0000000000..1d1d99c6c6 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q87.sql @@ -0,0 +1,40 @@ +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/tpcds_sf100_p2/sql/q88.sql b/regression-test/suites/tpcds_sf100_p2/sql/q88.sql new file mode 100644 index 0000000000..bb57eaa044 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q88.sql @@ -0,0 +1,162 @@ +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/tpcds_sf100_p2/sql/q89.sql b/regression-test/suites/tpcds_sf100_p2/sql/q89.sql new file mode 100644 index 0000000000..a5d77d3370 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q89.sql @@ -0,0 +1,30 @@ +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) > CAST('0.1' AS DECIMAL(10,2))) +ORDER BY (sum_sales - avg_monthly_sales) ASC, s_store_name ASC +LIMIT 100; diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q90.sql b/regression-test/suites/tpcds_sf100_p2/sql/q90.sql new file mode 100644 index 0000000000..ecd567836b --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q90.sql @@ -0,0 +1,32 @@ +SELECT (CAST(amc AS DECIMAL(15,4)) / CAST(pmc AS DECIMAL(15,4))) 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/tpcds_sf100_p2/sql/q91.sql b/regression-test/suites/tpcds_sf100_p2/sql/q91.sql new file mode 100644 index 0000000000..995a20454a --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q91.sql @@ -0,0 +1,29 @@ +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/tpcds_sf100_p2/sql/q92.sql b/regression-test/suites/tpcds_sf100_p2/sql/q92.sql new file mode 100644 index 0000000000..c53daa4484 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q92.sql @@ -0,0 +1,20 @@ +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 (CAST('1.3' AS DECIMAL(10,2)) * 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/tpcds_sf100_p2/sql/q93.sql b/regression-test/suites/tpcds_sf100_p2/sql/q93.sql new file mode 100644 index 0000000000..f43f9404f9 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q93.sql @@ -0,0 +1,22 @@ +-- 100 rows in set (1 min 9.49 sec) +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/tpcds_sf100_p2/sql/q94.sql b/regression-test/suites/tpcds_sf100_p2/sql/q94.sql new file mode 100644 index 0000000000..3ebd57ef23 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q94.sql @@ -0,0 +1,30 @@ +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/tpcds_sf100_p2/sql/q95.sql b/regression-test/suites/tpcds_sf100_p2/sql/q95.sql new file mode 100644 index 0000000000..ff39ac0fd7 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q95.sql @@ -0,0 +1,41 @@ +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/tpcds_sf100_p2/sql/q96.sql b/regression-test/suites/tpcds_sf100_p2/sql/q96.sql new file mode 100644 index 0000000000..889b76c865 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q96.sql @@ -0,0 +1,15 @@ +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/tpcds_sf100_p2/sql/q97.sql b/regression-test/suites/tpcds_sf100_p2/sql/q97.sql new file mode 100644 index 0000000000..b71d37d41a --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q97.sql @@ -0,0 +1,35 @@ +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/tpcds_sf100_p2/sql/q98.sql b/regression-test/suites/tpcds_sf100_p2/sql/q98.sql new file mode 100644 index 0000000000..675b6980aa --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q98.sql @@ -0,0 +1,19 @@ +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 +limit 100; \ No newline at end of file diff --git a/regression-test/suites/tpcds_sf100_p2/sql/q99.sql b/regression-test/suites/tpcds_sf100_p2/sql/q99.sql new file mode 100644 index 0000000000..c9e8380276 --- /dev/null +++ b/regression-test/suites/tpcds_sf100_p2/sql/q99.sql @@ -0,0 +1,26 @@ +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;