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Xin Wu commented on SPARK-13863: -------------------------------- Jesse, after I modified the DDL to use "decimal(7,2)" for the "double" colums as documented in the tpc-ds specs and the query return the following results both from Hive and Spark SQL: Spark SQL: {code} NULL NULL Fairview Williamson County TN United States DHL,BARIAN 2001 9597806.95 11121820.57 8670867.91 8994786.04 10887248.09 14187671.36 9732598.41 19798897.07 21007842.34 21495513.67 34795669.17 33122997.94 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 21913594.59 32518476.51 24885662.72 25698343.86 33735910.61 35527031.58 25465193.48 53623238.66 51409986.76 54159173.9 92227043.25 83435390.84 Bad cards must make. 621234 Fairview Williamson County TN United States DHL,BARIAN 2001 9506753.46 8008140.33 6116769.63 11973045.15 7756254.92 5352978.49 13733996.1 16418794.37 17212743.32 17042707.41 34304935.61 35324164.21 15.303015385507 12.890698722221 9.846160432301 19.273003650798 12.485238927683 8.616686288902 22.107605346777 26.429323523825 27.707342676029 27.433635972918 55.220634430827 56.861286101534 30534943.77 24481685.94 22178710.81 25695798.18 29954903.78 18084140.05 30805576.13 47156887.22 51158588.86 55759942.8 86253544.16 83451555.63 Conventional childr 977787 Fairview Williamson County TN United States DHL,BARIAN 2001 8860645.55 14415813.74 6761497.23 11820654.76 8246260.69 6636877.49 11434492.25 25673812.14 23074206.96 21834581.94 26894900.53 33575091.74 9.061938387399 14.743306814265 6.915102399603 12.089191981484 8.433596161537 6.787651594877 11.694256775759 26.257060218637 23.598398178745 22.330611820366 27.505888838776 34.337838138572 23836085.83 32073313.37 25037904.18 22659895.86 21757401.03 24451608.1 21933001.85 55996703.43 57371880.44 62087214.51 82849910.15 88970319.31 Doors canno 294242 Fairview Williamson County TN United States DHL,BARIAN 2001 6355232.31 10198920.36 10246200.97 12209716.5 8566998.28 8806316.81 9789405.6 16466584.88 26443785.61 27016047.8 33660589.67 27462468.62 21.598657941422 34.66167426812 34.822360404021 41.495491806065 29.115484125312 29.928823247531 33.269912520986 55.962727550791 89.870873668613 91.815742823934 114.397637556841 93.332932144289 22645143.09 24487254.6 24925759.42 30503655.27 26558160.29 20976233.52 29895796.09 56002198.38 53488158.53 76287235.46 82483747.59 88088266.69 Important issues liv 138504 Fairview Williamson County TN United States DHL,BARIAN 2001 11748784.55 14351305.77 9896470.93 7990874.78 8879247.9 7362383.09 10011144.75 17741201.32 21346976.05 18074978.16 29675125.64 32545325.29 84.826319456478 103.616543709929 71.452600141512 57.694180529082 64.108241639231 53.156465445041 72.280546049212 128.091616993011 154.12533970138 130.501488476867 214.254647086005 234.977511768614 27204167.15 25980378.13 19943398.93 25710421.13 19484481.03 26346611.48 25075158.43 54094778.13 41066732.11 54547058.28 72465962.92 92770328.27 {code} Hive: {code} NULL NULL Fairview Williamson County TN United States DHL,BARIAN 2001 9597806.95 11121820.57 8670867.91 8994786.04 10887248.09 14187671.36 9732598.41 19798897.07 21007842.34 21495513.67 34795669.17 33122997.94 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 21913594.59 32518476.51 24885662.72 25698343.86 33735910.61 35527031.58 25465193.48 53623238.66 51409986.76 54159173.9 92227043.25 83435390.84 Bad cards must make. 621234 Fairview Williamson County TN United States DHL,BARIAN 2001 9506753.46 8008140.33 6116769.63 11973045.15 7756254.92 5352978.49 13733996.1 16418794.37 17212743.32 17042707.41 34304935.61 35324164.21 15.303015385507 12.890698722221 9.846160432301 19.273003650798 12.485238927683 8.616686288902 22.107605346777 26.429323523825 27.707342676029 27.433635972918 55.220634430827 56.861286101534 30534943.77 24481685.94 22178710.81 25695798.18 29954903.78 18084140.05 30805576.13 47156887.22 51158588.86 55759942.8 86253544.16 83451555.63 Conventional childr 977787 Fairview Williamson County TN United States DHL,BARIAN 2001 8860645.55 14415813.74 6761497.23 11820654.76 8246260.69 6636877.49 11434492.25 25673812.14 23074206.96 21834581.94 26894900.53 33575091.74 9.061938387399 14.743306814265 6.915102399603 12.089191981484 8.433596161537 6.787651594877 11.694256775759 26.257060218637 23.598398178745 22.330611820366 27.505888838776 34.337838138572 23836085.83 32073313.37 25037904.18 22659895.86 21757401.03 24451608.1 21933001.85 55996703.43 57371880.44 62087214.51 82849910.15 88970319.31 Doors canno 294242 Fairview Williamson County TN United States DHL,BARIAN 2001 6355232.31 10198920.36 10246200.97 12209716.5 8566998.28 8806316.81 9789405.6 16466584.88 26443785.61 27016047.8 33660589.67 27462468.62 21.598657941422 34.66167426812 34.822360404021 41.495491806065 29.115484125312 29.928823247531 33.269912520986 55.962727550791 89.870873668613 91.815742823934 114.397637556841 93.332932144289 22645143.09 24487254.6 24925759.42 30503655.27 26558160.29 20976233.52 29895796.09 56002198.38 53488158.53 76287235.46 82483747.59 88088266.69 Important issues liv 138504 Fairview Williamson County TN United States DHL,BARIAN 2001 11748784.55 14351305.77 9896470.93 7990874.78 8879247.9 7362383.09 10011144.75 17741201.32 21346976.05 18074978.16 29675125.64 32545325.29 84.826319456478 103.616543709929 71.452600141512 57.694180529082 64.108241639231 53.156465445041 72.280546049212 128.091616993011 154.12533970138 130.501488476867 214.254647086005 234.977511768614 27204167.15 25980378.13 19943398.93 25710421.13 19484481.03 26346611.48 25075158.43 54094778.13 41066732.11 54547058.28 72465962.92 92770328.27 {code} The results are identical between Hive and Spark SQL. and the output has decimal format such as "6355232.31".. so this kind of confirm that the reported issue is related to schema definition. > TPCDS query 66 returns wrong results compared to TPC official result set > ------------------------------------------------------------------------- > > Key: SPARK-13863 > URL: https://issues.apache.org/jira/browse/SPARK-13863 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.6.0 > Reporter: JESSE CHEN > Labels: tpcds-result-mismatch > > Testing Spark SQL using TPC queries. Query 66 returns wrong results compared > to official result set. This is at 1GB SF (validation run). > Aggregations slightly off -- eg. JAN_SALES column of "Doors canno" row - > SparkSQL returns 6355232.185385704, expected 6355232.31 > Actual results: > {noformat} > [null,null,Fairview,Williamson County,TN,United > States,DHL,BARIAN,2001,9597806.850651741,1.1121820530080795E7,8670867.81564045,8994785.945689201,1.088724806326294E7,1.4187671518377304E7,9732598.460139751,1.9798897020946026E7,2.1007842467959404E7,2.149551364927292E7,3.479566905774999E7,3.3122997954660416E7,null,null,null,null,null,null,null,null,null,null,null,null,2.1913594697555542E7,3.2518476414670944E7,2.48856624883976E7,2.5698343830046654E7,3.373591080598068E7,3.552703167087555E7,2.5465193481492043E7,5.362323870799959E7,5.1409986978201866E7,5.415917383586836E7,9.222704311805725E7,8.343539111531019E7] > [Bad cards must make.,621234,Fairview,Williamson County,TN,United > States,DHL,BARIAN,2001,9506753.593884468,8008140.429557085,6116769.711647987,1.1973045160133362E7,7756254.925520897,5352978.574095726,1.373399613500309E7,1.6418794411203384E7,1.7212743279764652E7,1.704270732417488E7,3.43049358570323E7,3.532416421229005E7,15.30301560102066,12.890698882477594,9.846160563729589,19.273003667109915,12.485238936569628,8.61668642427125,22.107605403121994,26.429323590150222,27.707342611261865,27.433635834765774,55.22063482847413,56.86128610521969,3.0534943928382874E7,2.4481686250203133E7,2.217871080008793E7,2.569579825610423E7,2.995490355044937E7,1.8084140250833035E7,3.0805576178061485E7,4.7156887432252884E7,5.115858869637826E7,5.5759943171424866E7,8.625354428184557E7,8.345155532035494E7] > [Conventional childr,977787,Fairview,Williamson County,TN,United > States,DHL,BARIAN,2001,8860645.460736752,1.441581376543355E7,6761497.232810497,1.1820654735879421E7,8246260.600341797,6636877.482845306,1.1434492123092413E7,2.5673812070380323E7,2.3074206999911785E7,2.1834582007320404E7,2.6894900596512794E7,3.357509177109933E7,9.061938296108202,14.743306840276613,6.9151024024767125,12.08919195681618,8.43359606984118,6.787651587559771,11.694256645969329,26.257060147435304,23.598398219562938,22.330611889215547,27.505888906799534,34.337838170377935,2.3836085704864502E7,3.20733132298584E7,2.503790437837982E7,2.2659895963564873E7,2.175740087420273E7,2.4451608012176514E7,2.1933001734852314E7,5.59967034604629E7,5.737188052299309E7,6.208721474336243E7,8.284991027382469E7,8.897031933202875E7] > [Doors canno,294242,Fairview,Williamson County,TN,United > States,DHL,BARIAN,2001,6355232.185385704,1.0198920296742141E7,1.0246200903741479E7,1.2209716492156029E7,8566998.262890816,8806316.75278151,9789405.6993227,1.646658496404171E7,2.6443785668474197E7,2.701604788320923E7,3.366058958298761E7,2.7462468750599384E7,21.59865751791282,34.66167405313361,34.822360178837414,41.495491779406166,29.115484067165177,29.928823053070296,33.26991285854059,55.96272783641258,89.87087386734116,91.81574310672585,114.39763726112386,93.33293258813964,2.2645142994330406E7,2.448725452685547E7,2.4925759290207863E7,3.0503655031727314E7,2.6558160276379585E7,2.0976233452690125E7,2.9895796101181984E7,5.600219855566597E7,5.348815865275085E7,7.628723580410767E7,8.248374754962921E7,8.808826726185608E7] > [Important issues liv,138504,Fairview,Williamson County,TN,United > States,DHL,BARIAN,2001,1.1748784594717264E7,1.435130566355586E7,9896470.867572784,7990874.805492401,8879247.840401173,7362383.04259038,1.0011144724414349E7,1.7741201390372872E7,2.1346976135887742E7,1.8074978020030975E7,2.967512567988676E7,3.2545325348875403E7,84.8263197793368,103.6165429414014,71.45259969078715,57.694180713137534,64.10824120892663,53.156465102743454,72.28054586448297,128.09161750110374,154.12534032149065,130.5014874662896,214.25464737398747,234.97751219369408,2.7204167203903973E7,2.598037822457385E7,1.9943398915802002E7,2.5710421112384796E7,1.948448105346489E7,2.6346611484448195E7,2.5075158296625137E7,5.409477817043829E7,4.106673223178029E7,5.454705814340496E7,7.246596285337901E7,9.277032812079096E7] > {noformat} > Expected results: > {noformat} > +----------------------+-------------------+----------+-------------------+---------+---------------+---------------+------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+ > | W_WAREHOUSE_NAME | W_WAREHOUSE_SQ_FT | W_CITY | W_COUNTY | > W_STATE | W_COUNTRY | SHIP_CARRIERS | YEAR | JAN_SALES | > FEB_SALES | MAR_SALES | APR_SALES | MAY_SALES | JUN_SALES > | JUL_SALES | AUG_SALES | SEP_SALES | OCT_SALES | > NOV_SALES | DEC_SALES | JAN_SALES_PER_SQ_FOOT | FEB_SALES_PER_SQ_FOOT | > MAR_SALES_PER_SQ_FOOT | APR_SALES_PER_SQ_FOOT | MAY_SALES_PER_SQ_FOOT | > JUN_SALES_PER_SQ_FOOT | JUL_SALES_PER_SQ_FOOT | AUG_SALES_PER_SQ_FOOT | > SEP_SALES_PER_SQ_FOOT | OCT_SALES_PER_SQ_FOOT | NOV_SALES_PER_SQ_FOOT | > DEC_SALES_PER_SQ_FOOT | JAN_NET | FEB_NET | MAR_NET | > APR_NET | MAY_NET | JUN_NET | JUL_NET | > AUG_NET | SEP_NET | OCT_NET | NOV_NET | DEC_NET | > +----------------------+-------------------+----------+-------------------+---------+---------------+---------------+------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+ > | Bad cards must make. | 621234 | Fairview | Williamson County | > TN | United States | DHL,BARIAN | 2001 | 9506753.46000 | > 8008140.33000 | 6116769.63000 | 11973045.15000 | 7756254.92000 | > 5352978.49000 | 13733996.10000 | 16418794.37000 | 17212743.32000 | > 17042707.41000 | 34304935.61000 | 35324164.21000 | 15.30302 | > 12.89070 | 9.84616 | 19.27300 | > 12.48524 | 8.61669 | 22.10761 | > 26.42932 | 27.70734 | 27.43364 | > 55.22063 | 56.86129 | 30534943.77000 | 24481685.94000 | > 22178710.81000 | 25695798.18000 | 29954903.78000 | 18084140.05000 | > 30805576.13000 | 47156887.22000 | 51158588.86000 | 55759942.80000 | > 86253544.16000 | 83451555.63000 | > | Conventional childr | 977787 | Fairview | Williamson County | > TN | United States | DHL,BARIAN | 2001 | 8860645.55000 | > 14415813.74000 | 6761497.23000 | 11820654.76000 | 8246260.69000 | > 6636877.49000 | 11434492.25000 | 25673812.14000 | 23074206.96000 | > 21834581.94000 | 26894900.53000 | 33575091.74000 | 9.06194 | > 14.74331 | 6.91510 | 12.08919 | > 8.43360 | 6.78765 | 11.69426 | > 26.25706 | 23.59840 | 22.33061 | > 27.50589 | 34.33784 | 23836085.83000 | 32073313.37000 | > 25037904.18000 | 22659895.86000 | 21757401.03000 | 24451608.10000 | > 21933001.85000 | 55996703.43000 | 57371880.44000 | 62087214.51000 | > 82849910.15000 | 88970319.31000 | > | Doors canno | 294242 | Fairview | Williamson County | > TN | United States | DHL,BARIAN | 2001 | 6355232.31000 | > 10198920.36000 | 10246200.97000 | 12209716.50000 | 8566998.28000 | > 8806316.81000 | 9789405.60000 | 16466584.88000 | 26443785.61000 | > 27016047.80000 | 33660589.67000 | 27462468.62000 | 21.59866 | > 34.66167 | 34.82236 | 41.49549 | > 29.11548 | 29.92882 | 33.26991 | > 55.96273 | 89.87087 | 91.81574 | > 114.39764 | 93.33293 | 22645143.09000 | 24487254.60000 | > 24925759.42000 | 30503655.27000 | 26558160.29000 | 20976233.52000 | > 29895796.09000 | 56002198.38000 | 53488158.53000 | 76287235.46000 | > 82483747.59000 | 88088266.69000 | > | Important issues liv | 138504 | Fairview | Williamson County | > TN | United States | DHL,BARIAN | 2001 | 11748784.55000 | > 14351305.77000 | 9896470.93000 | 7990874.78000 | 8879247.90000 | > 7362383.09000 | 10011144.75000 | 17741201.32000 | 21346976.05000 | > 18074978.16000 | 29675125.64000 | 32545325.29000 | 84.82632 | > 103.61654 | 71.45260 | 57.69418 | > 64.10824 | 53.15647 | 72.28055 | > 128.09162 | 154.12534 | 130.50149 | > 214.25465 | 234.97751 | 27204167.15000 | 25980378.13000 | > 19943398.93000 | 25710421.13000 | 19484481.03000 | 26346611.48000 | > 25075158.43000 | 54094778.13000 | 41066732.11000 | 54547058.28000 | > 72465962.92000 | 92770328.27000 | > | [NULL] | [NULL] | Fairview | Williamson County | > TN | United States | DHL,BARIAN | 2001 | 9597806.95000 | > 11121820.57000 | 8670867.91000 | 8994786.04000 | 10887248.09000 | > 14187671.36000 | 9732598.41000 | 19798897.07000 | 21007842.34000 | > 21495513.67000 | 34795669.17000 | 33122997.94000 | [NULL] | > [NULL] | [NULL] | [NULL] | > [NULL] | [NULL] | [NULL] | > [NULL] | [NULL] | [NULL] | > [NULL] | [NULL] | 21913594.59000 | 32518476.51000 | > 24885662.72000 | 25698343.86000 | 33735910.61000 | 35527031.58000 | > 25465193.48000 | 53623238.66000 | 51409986.76000 | 54159173.90000 | > 92227043.25000 | 83435390.84000 | > +----------------------+-------------------+----------+-------------------+---------+---------------+---------------+------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+ > {noformat} > Query used: > {noformat} > -- start query 66 in stream 0 using template query66.tpl and seed > QUALIFICATION > select > w_warehouse_name > ,w_warehouse_sq_ft > ,w_city > ,w_county > ,w_state > ,w_country > ,ship_carriers > ,year > ,sum(jan_sales) as jan_sales > ,sum(feb_sales) as feb_sales > ,sum(mar_sales) as mar_sales > ,sum(apr_sales) as apr_sales > ,sum(may_sales) as may_sales > ,sum(jun_sales) as jun_sales > ,sum(jul_sales) as jul_sales > ,sum(aug_sales) as aug_sales > ,sum(sep_sales) as sep_sales > ,sum(oct_sales) as oct_sales > ,sum(nov_sales) as nov_sales > ,sum(dec_sales) as dec_sales > ,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot > ,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot > ,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot > ,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot > ,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot > ,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot > ,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot > ,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot > ,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot > ,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot > ,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot > ,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot > ,sum(jan_net) as jan_net > ,sum(feb_net) as feb_net > ,sum(mar_net) as mar_net > ,sum(apr_net) as apr_net > ,sum(may_net) as may_net > ,sum(jun_net) as jun_net > ,sum(jul_net) as jul_net > ,sum(aug_net) as aug_net > ,sum(sep_net) as sep_net > ,sum(oct_net) as oct_net > ,sum(nov_net) as nov_net > ,sum(dec_net) as dec_net > from ( > select > w_warehouse_name > ,w_warehouse_sq_ft > ,w_city > ,w_county > ,w_state > ,w_country > ,concat('DHL', ',', 'BARIAN') as ship_carriers > ,d_year as year > ,sum(case when d_moy = 1 > then ws_ext_sales_price* ws_quantity else 0 end) as jan_sales > ,sum(case when d_moy = 2 > then ws_ext_sales_price* ws_quantity else 0 end) as feb_sales > ,sum(case when d_moy = 3 > then ws_ext_sales_price* ws_quantity else 0 end) as mar_sales > ,sum(case when d_moy = 4 > then ws_ext_sales_price* ws_quantity else 0 end) as apr_sales > ,sum(case when d_moy = 5 > then ws_ext_sales_price* ws_quantity else 0 end) as may_sales > ,sum(case when d_moy = 6 > then ws_ext_sales_price* ws_quantity else 0 end) as jun_sales > ,sum(case when d_moy = 7 > then ws_ext_sales_price* ws_quantity else 0 end) as jul_sales > ,sum(case when d_moy = 8 > then ws_ext_sales_price* ws_quantity else 0 end) as aug_sales > ,sum(case when d_moy = 9 > then ws_ext_sales_price* ws_quantity else 0 end) as sep_sales > ,sum(case when d_moy = 10 > then ws_ext_sales_price* ws_quantity else 0 end) as oct_sales > ,sum(case when d_moy = 11 > then ws_ext_sales_price* ws_quantity else 0 end) as nov_sales > ,sum(case when d_moy = 12 > then ws_ext_sales_price* ws_quantity else 0 end) as dec_sales > ,sum(case when d_moy = 1 > then ws_net_paid * ws_quantity else 0 end) as jan_net > ,sum(case when d_moy = 2 > then ws_net_paid * ws_quantity else 0 end) as feb_net > ,sum(case when d_moy = 3 > then ws_net_paid * ws_quantity else 0 end) as mar_net > ,sum(case when d_moy = 4 > then ws_net_paid * ws_quantity else 0 end) as apr_net > ,sum(case when d_moy = 5 > then ws_net_paid * ws_quantity else 0 end) as may_net > ,sum(case when d_moy = 6 > then ws_net_paid * ws_quantity else 0 end) as jun_net > ,sum(case when d_moy = 7 > then ws_net_paid * ws_quantity else 0 end) as jul_net > ,sum(case when d_moy = 8 > then ws_net_paid * ws_quantity else 0 end) as aug_net > ,sum(case when d_moy = 9 > then ws_net_paid * ws_quantity else 0 end) as sep_net > ,sum(case when d_moy = 10 > then ws_net_paid * ws_quantity else 0 end) as oct_net > ,sum(case when d_moy = 11 > then ws_net_paid * ws_quantity else 0 end) as nov_net > ,sum(case when d_moy = 12 > then ws_net_paid * ws_quantity else 0 end) as 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('DHL', ',', 'BARIAN') as ship_carriers > ,d_year as year > ,sum(case when d_moy = 1 > then cs_sales_price* cs_quantity else 0 end) as jan_sales > ,sum(case when d_moy = 2 > then cs_sales_price* cs_quantity else 0 end) as feb_sales > ,sum(case when d_moy = 3 > then cs_sales_price* cs_quantity else 0 end) as mar_sales > ,sum(case when d_moy = 4 > then cs_sales_price* cs_quantity else 0 end) as apr_sales > ,sum(case when d_moy = 5 > then cs_sales_price* cs_quantity else 0 end) as may_sales > ,sum(case when d_moy = 6 > then cs_sales_price* cs_quantity else 0 end) as jun_sales > ,sum(case when d_moy = 7 > then cs_sales_price* cs_quantity else 0 end) as jul_sales > ,sum(case when d_moy = 8 > then cs_sales_price* cs_quantity else 0 end) as aug_sales > ,sum(case when d_moy = 9 > then cs_sales_price* cs_quantity else 0 end) as sep_sales > ,sum(case when d_moy = 10 > then cs_sales_price* cs_quantity else 0 end) as oct_sales > ,sum(case when d_moy = 11 > then cs_sales_price* cs_quantity else 0 end) as nov_sales > ,sum(case when d_moy = 12 > then cs_sales_price* cs_quantity else 0 end) as dec_sales > ,sum(case when d_moy = 1 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as jan_net > ,sum(case when d_moy = 2 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as feb_net > ,sum(case when d_moy = 3 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as mar_net > ,sum(case when d_moy = 4 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as apr_net > ,sum(case when d_moy = 5 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as may_net > ,sum(case when d_moy = 6 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as jun_net > ,sum(case when d_moy = 7 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as jul_net > ,sum(case when d_moy = 8 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as aug_net > ,sum(case when d_moy = 9 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as sep_net > ,sum(case when d_moy = 10 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as oct_net > ,sum(case when d_moy = 11 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as nov_net > ,sum(case when d_moy = 12 > then cs_net_paid_inc_tax * cs_quantity else 0 end) as 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 > limit 100; > {noformat} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org