[
https://issues.apache.org/jira/browse/SPARK-13863?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
JESSE CHEN updated SPARK-13863:
-------------------------------
Description:
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:
[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]
Expected results:
+----------------------+-------------------+----------+-------------------+---------+---------------+---------------+------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+
| 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 |
+----------------------+-------------------+----------+-------------------+---------+---------------+---------------+------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+
Query used:
-- 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;
was:
Testing Spark SQL using TPC queries. Query 49 returns wrong results compared to
official result set. This is at 1GB SF (validation run).
SparkSQL has right answer but in wrong order (and there is an 'order by' in the
query).
Actual results:
store,9797,0.80000000000000000000,2,2]
[store,12641,0.81609195402298850575,3,3]
[store,6661,0.92207792207792207792,7,7]
[store,13013,0.94202898550724637681,8,8]
[store,9029,1.00000000000000000000,10,10]
[web,15597,0.66197183098591549296,3,3]
[store,14925,0.96470588235294117647,9,9]
[store,4063,1.00000000000000000000,10,10]
[catalog,8929,0.76250000000000000000,7,7]
[store,11589,0.82653061224489795918,6,6]
[store,1171,0.82417582417582417582,5,5]
[store,9471,0.77500000000000000000,1,1]
[catalog,12577,0.65591397849462365591,3,3]
[web,97,0.90361445783132530120,9,8]
[web,85,0.85714285714285714286,8,7]
[catalog,361,0.74647887323943661972,5,5]
[web,2915,0.69863013698630136986,4,4]
[web,117,0.92500000000000000000,10,9]
[catalog,9295,0.77894736842105263158,9,9]
[web,3305,0.73750000000000000000,6,16]
[catalog,16215,0.79069767441860465116,10,10]
[web,7539,0.59000000000000000000,1,1]
[catalog,17543,0.57142857142857142857,1,1]
[catalog,3411,0.71641791044776119403,4,4]
[web,11933,0.71717171717171717172,5,5]
[catalog,14513,0.63541666666666666667,2,2]
[store,15839,0.81632653061224489796,4,4]
[web,3337,0.62650602409638554217,2,2]
[web,5299,0.92708333333333333333,11,10]
[catalog,8189,0.74698795180722891566,6,6]
[catalog,14869,0.77173913043478260870,8,8]
[web,483,0.80000000000000000000,7,6]
Expected results:
+---------+-------+--------------------+-------------+---------------+
| CHANNEL | ITEM | RETURN_RATIO | RETURN_RANK | CURRENCY_RANK |
+---------+-------+--------------------+-------------+---------------+
| catalog | 17543 | .5714285714285714 | 1 | 1 |
| catalog | 14513 | .6354166666666666 | 2 | 2 |
| catalog | 12577 | .6559139784946236 | 3 | 3 |
| catalog | 3411 | .7164179104477611 | 4 | 4 |
| catalog | 361 | .7464788732394366 | 5 | 5 |
| catalog | 8189 | .7469879518072289 | 6 | 6 |
| catalog | 8929 | .7625000000000000 | 7 | 7 |
| catalog | 14869 | .7717391304347826 | 8 | 8 |
| catalog | 9295 | .7789473684210526 | 9 | 9 |
| catalog | 16215 | .7906976744186046 | 10 | 10 |
| store | 9471 | .7750000000000000 | 1 | 1 |
| store | 9797 | .8000000000000000 | 2 | 2 |
| store | 12641 | .8160919540229885 | 3 | 3 |
| store | 15839 | .8163265306122448 | 4 | 4 |
| store | 1171 | .8241758241758241 | 5 | 5 |
| store | 11589 | .8265306122448979 | 6 | 6 |
| store | 6661 | .9220779220779220 | 7 | 7 |
| store | 13013 | .9420289855072463 | 8 | 8 |
| store | 14925 | .9647058823529411 | 9 | 9 |
| store | 4063 | 1.0000000000000000 | 10 | 10 |
| store | 9029 | 1.0000000000000000 | 10 | 10 |
| web | 7539 | .5900000000000000 | 1 | 1 |
| web | 3337 | .6265060240963855 | 2 | 2 |
| web | 15597 | .6619718309859154 | 3 | 3 |
| web | 2915 | .6986301369863013 | 4 | 4 |
| web | 11933 | .7171717171717171 | 5 | 5 |
| web | 3305 | .7375000000000000 | 6 | 16 |
| web | 483 | .8000000000000000 | 7 | 6 |
| web | 85 | .8571428571428571 | 8 | 7 |
| web | 97 | .9036144578313253 | 9 | 8 |
| web | 117 | .9250000000000000 | 10 | 9 |
| web | 5299 | .9270833333333333 | 11 | 10 |
+---------+-------+--------------------+-------------+---------------+
Query used:
-- start query 49 in stream 0 using template query49.tpl and seed QUALIFICATION
select
'web' as 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) as return_rank
,rank() over (order by currency_ratio) as currency_rank
from
( select ws.ws_item_sk as item
,(cast(sum(coalesce(wr.wr_return_quantity,0)) as decimal(15,4))/
cast(sum(coalesce(ws.ws_quantity,0)) as decimal(15,4) )) as
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) )) as
currency_ratio
from
web_sales ws left outer 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' as 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) as return_rank
,rank() over (order by currency_ratio) as currency_rank
from
( select
cs.cs_item_sk as item
,(cast(sum(coalesce(cr.cr_return_quantity,0)) as decimal(15,4))/
cast(sum(coalesce(cs.cs_quantity,0)) as decimal(15,4) )) as
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) )) as
currency_ratio
from
catalog_sales cs left outer 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' as 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) as return_rank
,rank() over (order by currency_ratio) as currency_rank
from
( select sts.ss_item_sk as item
,(cast(sum(coalesce(sr.sr_return_quantity,0)) as
decimal(15,4))/cast(sum(coalesce(sts.ss_quantity,0)) as decimal(15,4) )) as
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) )) as
currency_ratio
from
store_sales sts left outer 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 1,4,5
limit 100;
-- end query 49 in stream 0 using template query49.tpl
> 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
>
> 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:
> [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]
> Expected results:
> +----------------------+-------------------+----------+-------------------+---------+---------------+---------------+------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+
> | 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 |
> +----------------------+-------------------+----------+-------------------+---------+---------------+---------------+------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+----------------+
> Query used:
> -- 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;
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