http://git-wip-us.apache.org/repos/asf/hive/blob/09271872/ql/src/test/results/clientpositive/perf/query75.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query75.q.out b/ql/src/test/results/clientpositive/perf/query75.q.out index 15c46c2..731ff62 100644 --- a/ql/src/test/results/clientpositive/perf/query75.q.out +++ b/ql/src/test/results/clientpositive/perf/query75.q.out @@ -41,363 +41,367 @@ Stage-0 <-Reducer 7 [SIMPLE_EDGE] SHUFFLE [RS_153] Select Operator [SEL_152] (rows=169103 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"] + Output:["_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"] Filter Operator [FIL_151] (rows=169103 width=1436) predicate:(UDFToDouble((CAST( _col5 AS decimal(17,2)) / CAST( _col12 AS decimal(17,2)))) < 0.9) Merge Join Operator [MERGEJOIN_259] (rows=507310 width=1436) - Conds:RS_148._col1, _col2, _col3, _col4=RS_149._col1, _col2, _col3, _col4(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col12","_col13"] + Conds:RS_148._col1, _col2, _col3, _col4=RS_149._col1, _col2, _col3, _col4(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col12","_col13"] <-Reducer 31 [SIMPLE_EDGE] SHUFFLE [RS_149] PartitionCols:_col1, _col2, _col3, _col4 - Group By Operator [GBY_146] (rows=461191 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4 - <-Union 30 [SIMPLE_EDGE] - <-Reducer 29 [CONTAINS] - Reduce Output Operator [RS_145] - PartitionCols:_col0, _col1, _col2, _col3, _col4 - Group By Operator [GBY_144] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4 - Select Operator [SEL_142] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - Select Operator [SEL_95] (rows=307461 width=1436) + Select Operator [SEL_147] (rows=461191 width=1436) + Output:["_col1","_col2","_col3","_col4","_col5","_col6"] + Group By Operator [GBY_146] (rows=461191 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:2001, KEY._col1, KEY._col2, KEY._col3, KEY._col4 + <-Union 30 [SIMPLE_EDGE] + <-Reducer 29 [CONTAINS] + Reduce Output Operator [RS_145] + PartitionCols:2001, _col1, _col2, _col3, _col4 + Group By Operator [GBY_144] (rows=922383 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2001, _col1, _col2, _col3, _col4 + Select Operator [SEL_142] (rows=922383 width=1436) Output:["_col1","_col2","_col3","_col4","_col5","_col6"] - Merge Join Operator [MERGEJOIN_252] (rows=307461 width=1436) - Conds:RS_92._col2, _col1=RS_93._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] - <-Map 34 [SIMPLE_EDGE] - SHUFFLE [RS_93] - PartitionCols:_col1, _col0 - Select Operator [SEL_85] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_232] (rows=1 width=0) - predicate:cr_item_sk is not null - TableScan [TS_83] (rows=1 width=0) - default@catalog_returns,catalog_returns,Tbl:PARTIAL,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_return_quantity","cr_return_amount"] - <-Reducer 28 [SIMPLE_EDGE] - SHUFFLE [RS_92] - PartitionCols:_col2, _col1 - Merge Join Operator [MERGEJOIN_251] (rows=279510 width=1436) - Conds:RS_89._col0=RS_90._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 33 [SIMPLE_EDGE] - SHUFFLE [RS_90] - PartitionCols:_col0 - Select Operator [SEL_82] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_231] (rows=36524 width=1119) - predicate:((d_year = 2001) and d_date_sk is not null) - TableScan [TS_80] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Reducer 27 [SIMPLE_EDGE] - SHUFFLE [RS_89] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_250] (rows=254100 width=1436) - Conds:RS_86._col1=RS_87._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 26 [SIMPLE_EDGE] - SHUFFLE [RS_86] - PartitionCols:_col1 - Select Operator [SEL_76] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_229] (rows=1 width=0) - predicate:(cs_item_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_74] (rows=1 width=0) - default@catalog_sales,catalog_sales,Tbl:PARTIAL,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_order_number","cs_quantity","cs_ext_sales_price"] - <-Map 32 [SIMPLE_EDGE] - SHUFFLE [RS_87] - PartitionCols:_col0 - Select Operator [SEL_79] (rows=231000 width=1436) - Output:["_col0","_col1","_col2","_col3","_col5"] - Filter Operator [FIL_230] (rows=231000 width=1436) - predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) - TableScan [TS_77] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] - <-Reducer 38 [CONTAINS] - Reduce Output Operator [RS_145] - PartitionCols:_col0, _col1, _col2, _col3, _col4 - Group By Operator [GBY_144] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4 - Select Operator [SEL_142] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - Select Operator [SEL_117] (rows=307461 width=1436) + Select Operator [SEL_95] (rows=307461 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_252] (rows=307461 width=1436) + Conds:RS_92._col2, _col1=RS_93._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] + <-Map 34 [SIMPLE_EDGE] + SHUFFLE [RS_93] + PartitionCols:_col1, _col0 + Select Operator [SEL_85] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_232] (rows=1 width=0) + predicate:cr_item_sk is not null + TableScan [TS_83] (rows=1 width=0) + default@catalog_returns,catalog_returns,Tbl:PARTIAL,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_return_quantity","cr_return_amount"] + <-Reducer 28 [SIMPLE_EDGE] + SHUFFLE [RS_92] + PartitionCols:_col2, _col1 + Merge Join Operator [MERGEJOIN_251] (rows=279510 width=1436) + Conds:RS_89._col0=RS_90._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 33 [SIMPLE_EDGE] + SHUFFLE [RS_90] + PartitionCols:_col0 + Select Operator [SEL_82] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_231] (rows=36524 width=1119) + predicate:((d_year = 2001) and d_date_sk is not null) + TableScan [TS_80] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Reducer 27 [SIMPLE_EDGE] + SHUFFLE [RS_89] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_250] (rows=254100 width=1436) + Conds:RS_86._col1=RS_87._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 26 [SIMPLE_EDGE] + SHUFFLE [RS_86] + PartitionCols:_col1 + Select Operator [SEL_76] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_229] (rows=1 width=0) + predicate:(cs_item_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_74] (rows=1 width=0) + default@catalog_sales,catalog_sales,Tbl:PARTIAL,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_order_number","cs_quantity","cs_ext_sales_price"] + <-Map 32 [SIMPLE_EDGE] + SHUFFLE [RS_87] + PartitionCols:_col0 + Select Operator [SEL_79] (rows=231000 width=1436) + Output:["_col0","_col1","_col2","_col3","_col5"] + Filter Operator [FIL_230] (rows=231000 width=1436) + predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) + TableScan [TS_77] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] + <-Reducer 38 [CONTAINS] + Reduce Output Operator [RS_145] + PartitionCols:2001, _col1, _col2, _col3, _col4 + Group By Operator [GBY_144] (rows=922383 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2001, _col1, _col2, _col3, _col4 + Select Operator [SEL_142] (rows=922383 width=1436) Output:["_col1","_col2","_col3","_col4","_col5","_col6"] - Merge Join Operator [MERGEJOIN_255] (rows=307461 width=1436) - Conds:RS_114._col2, _col1=RS_115._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] - <-Map 41 [SIMPLE_EDGE] - SHUFFLE [RS_115] - PartitionCols:_col1, _col0 - Select Operator [SEL_107] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_236] (rows=1 width=0) - predicate:sr_item_sk is not null - TableScan [TS_105] (rows=1 width=0) - default@store_returns,store_returns,Tbl:PARTIAL,Col:NONE,Output:["sr_item_sk","sr_ticket_number","sr_return_quantity","sr_return_amt"] - <-Reducer 37 [SIMPLE_EDGE] - SHUFFLE [RS_114] - PartitionCols:_col2, _col1 - Merge Join Operator [MERGEJOIN_254] (rows=279510 width=1436) - Conds:RS_111._col0=RS_112._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 40 [SIMPLE_EDGE] - SHUFFLE [RS_112] - PartitionCols:_col0 - Select Operator [SEL_104] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_235] (rows=36524 width=1119) - predicate:((d_year = 2001) and d_date_sk is not null) - TableScan [TS_102] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Reducer 36 [SIMPLE_EDGE] - SHUFFLE [RS_111] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_253] (rows=254100 width=1436) - Conds:RS_108._col1=RS_109._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 35 [SIMPLE_EDGE] - SHUFFLE [RS_108] - PartitionCols:_col1 - Select Operator [SEL_98] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_233] (rows=1 width=0) - predicate:(ss_item_sk is not null and ss_sold_date_sk is not null) - TableScan [TS_96] (rows=1 width=0) - default@store_sales,store_sales,Tbl:PARTIAL,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ticket_number","ss_quantity","ss_ext_sales_price"] - <-Map 39 [SIMPLE_EDGE] - SHUFFLE [RS_109] - PartitionCols:_col0 - Select Operator [SEL_101] (rows=231000 width=1436) - Output:["_col0","_col1","_col2","_col3","_col5"] - Filter Operator [FIL_234] (rows=231000 width=1436) - predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) - TableScan [TS_99] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] - <-Reducer 45 [CONTAINS] - Reduce Output Operator [RS_145] - PartitionCols:_col0, _col1, _col2, _col3, _col4 - Group By Operator [GBY_144] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4 - Select Operator [SEL_142] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - Select Operator [SEL_141] (rows=307461 width=1436) + Select Operator [SEL_117] (rows=307461 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_255] (rows=307461 width=1436) + Conds:RS_114._col2, _col1=RS_115._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] + <-Map 41 [SIMPLE_EDGE] + SHUFFLE [RS_115] + PartitionCols:_col1, _col0 + Select Operator [SEL_107] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_236] (rows=1 width=0) + predicate:sr_item_sk is not null + TableScan [TS_105] (rows=1 width=0) + default@store_returns,store_returns,Tbl:PARTIAL,Col:NONE,Output:["sr_item_sk","sr_ticket_number","sr_return_quantity","sr_return_amt"] + <-Reducer 37 [SIMPLE_EDGE] + SHUFFLE [RS_114] + PartitionCols:_col2, _col1 + Merge Join Operator [MERGEJOIN_254] (rows=279510 width=1436) + Conds:RS_111._col0=RS_112._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 40 [SIMPLE_EDGE] + SHUFFLE [RS_112] + PartitionCols:_col0 + Select Operator [SEL_104] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_235] (rows=36524 width=1119) + predicate:((d_year = 2001) and d_date_sk is not null) + TableScan [TS_102] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Reducer 36 [SIMPLE_EDGE] + SHUFFLE [RS_111] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_253] (rows=254100 width=1436) + Conds:RS_108._col1=RS_109._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 35 [SIMPLE_EDGE] + SHUFFLE [RS_108] + PartitionCols:_col1 + Select Operator [SEL_98] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_233] (rows=1 width=0) + predicate:(ss_item_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_96] (rows=1 width=0) + default@store_sales,store_sales,Tbl:PARTIAL,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ticket_number","ss_quantity","ss_ext_sales_price"] + <-Map 39 [SIMPLE_EDGE] + SHUFFLE [RS_109] + PartitionCols:_col0 + Select Operator [SEL_101] (rows=231000 width=1436) + Output:["_col0","_col1","_col2","_col3","_col5"] + Filter Operator [FIL_234] (rows=231000 width=1436) + predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) + TableScan [TS_99] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] + <-Reducer 45 [CONTAINS] + Reduce Output Operator [RS_145] + PartitionCols:2001, _col1, _col2, _col3, _col4 + Group By Operator [GBY_144] (rows=922383 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2001, _col1, _col2, _col3, _col4 + Select Operator [SEL_142] (rows=922383 width=1436) Output:["_col1","_col2","_col3","_col4","_col5","_col6"] - Merge Join Operator [MERGEJOIN_258] (rows=307461 width=1436) - Conds:RS_138._col2, _col1=RS_139._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] - <-Map 48 [SIMPLE_EDGE] - SHUFFLE [RS_139] - PartitionCols:_col1, _col0 - Select Operator [SEL_131] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_240] (rows=1 width=0) - predicate:wr_item_sk is not null - TableScan [TS_129] (rows=1 width=0) - default@web_returns,web_returns,Tbl:PARTIAL,Col:NONE,Output:["wr_item_sk","wr_order_number","wr_return_quantity","wr_return_amt"] - <-Reducer 44 [SIMPLE_EDGE] - SHUFFLE [RS_138] - PartitionCols:_col2, _col1 - Merge Join Operator [MERGEJOIN_257] (rows=279510 width=1436) - Conds:RS_135._col0=RS_136._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 47 [SIMPLE_EDGE] - SHUFFLE [RS_136] - PartitionCols:_col0 - Select Operator [SEL_128] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_239] (rows=36524 width=1119) - predicate:((d_year = 2001) and d_date_sk is not null) - TableScan [TS_126] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Reducer 43 [SIMPLE_EDGE] - SHUFFLE [RS_135] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_256] (rows=254100 width=1436) - Conds:RS_132._col1=RS_133._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 42 [SIMPLE_EDGE] - SHUFFLE [RS_132] - PartitionCols:_col1 - Select Operator [SEL_122] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_237] (rows=1 width=0) - predicate:(ws_item_sk is not null and ws_sold_date_sk is not null) - TableScan [TS_120] (rows=1 width=0) - default@web_sales,web_sales,Tbl:PARTIAL,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_order_number","ws_quantity","ws_ext_sales_price"] - <-Map 46 [SIMPLE_EDGE] - SHUFFLE [RS_133] - PartitionCols:_col0 - Select Operator [SEL_125] (rows=231000 width=1436) - Output:["_col0","_col1","_col2","_col3","_col5"] - Filter Operator [FIL_238] (rows=231000 width=1436) - predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) - TableScan [TS_123] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] + Select Operator [SEL_141] (rows=307461 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_258] (rows=307461 width=1436) + Conds:RS_138._col2, _col1=RS_139._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] + <-Map 48 [SIMPLE_EDGE] + SHUFFLE [RS_139] + PartitionCols:_col1, _col0 + Select Operator [SEL_131] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_240] (rows=1 width=0) + predicate:wr_item_sk is not null + TableScan [TS_129] (rows=1 width=0) + default@web_returns,web_returns,Tbl:PARTIAL,Col:NONE,Output:["wr_item_sk","wr_order_number","wr_return_quantity","wr_return_amt"] + <-Reducer 44 [SIMPLE_EDGE] + SHUFFLE [RS_138] + PartitionCols:_col2, _col1 + Merge Join Operator [MERGEJOIN_257] (rows=279510 width=1436) + Conds:RS_135._col0=RS_136._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 47 [SIMPLE_EDGE] + SHUFFLE [RS_136] + PartitionCols:_col0 + Select Operator [SEL_128] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_239] (rows=36524 width=1119) + predicate:((d_year = 2001) and d_date_sk is not null) + TableScan [TS_126] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Reducer 43 [SIMPLE_EDGE] + SHUFFLE [RS_135] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_256] (rows=254100 width=1436) + Conds:RS_132._col1=RS_133._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 42 [SIMPLE_EDGE] + SHUFFLE [RS_132] + PartitionCols:_col1 + Select Operator [SEL_122] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_237] (rows=1 width=0) + predicate:(ws_item_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_120] (rows=1 width=0) + default@web_sales,web_sales,Tbl:PARTIAL,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_order_number","ws_quantity","ws_ext_sales_price"] + <-Map 46 [SIMPLE_EDGE] + SHUFFLE [RS_133] + PartitionCols:_col0 + Select Operator [SEL_125] (rows=231000 width=1436) + Output:["_col0","_col1","_col2","_col3","_col5"] + Filter Operator [FIL_238] (rows=231000 width=1436) + predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) + TableScan [TS_123] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] <-Reducer 6 [SIMPLE_EDGE] SHUFFLE [RS_148] PartitionCols:_col1, _col2, _col3, _col4 - Group By Operator [GBY_72] (rows=461191 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4 - <-Union 5 [SIMPLE_EDGE] - <-Reducer 15 [CONTAINS] - Reduce Output Operator [RS_71] - PartitionCols:_col0, _col1, _col2, _col3, _col4 - Group By Operator [GBY_70] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4 - Select Operator [SEL_68] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - Select Operator [SEL_43] (rows=307461 width=1436) + Select Operator [SEL_73] (rows=461191 width=1436) + Output:["_col1","_col2","_col3","_col4","_col5","_col6"] + Group By Operator [GBY_72] (rows=461191 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:2002, KEY._col1, KEY._col2, KEY._col3, KEY._col4 + <-Union 5 [SIMPLE_EDGE] + <-Reducer 15 [CONTAINS] + Reduce Output Operator [RS_71] + PartitionCols:2002, _col1, _col2, _col3, _col4 + Group By Operator [GBY_70] (rows=922383 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2002, _col1, _col2, _col3, _col4 + Select Operator [SEL_68] (rows=922383 width=1436) Output:["_col1","_col2","_col3","_col4","_col5","_col6"] - Merge Join Operator [MERGEJOIN_246] (rows=307461 width=1436) - Conds:RS_40._col2, _col1=RS_41._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] - <-Map 18 [SIMPLE_EDGE] - SHUFFLE [RS_41] - PartitionCols:_col1, _col0 - Select Operator [SEL_33] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_224] (rows=1 width=0) - predicate:sr_item_sk is not null - TableScan [TS_31] (rows=1 width=0) - default@store_returns,store_returns,Tbl:PARTIAL,Col:NONE,Output:["sr_item_sk","sr_ticket_number","sr_return_quantity","sr_return_amt"] - <-Reducer 14 [SIMPLE_EDGE] - SHUFFLE [RS_40] - PartitionCols:_col2, _col1 - Merge Join Operator [MERGEJOIN_245] (rows=279510 width=1436) - Conds:RS_37._col0=RS_38._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 17 [SIMPLE_EDGE] - SHUFFLE [RS_38] - PartitionCols:_col0 - Select Operator [SEL_30] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_223] (rows=36524 width=1119) - predicate:((d_year = 2002) and d_date_sk is not null) - TableScan [TS_28] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Reducer 13 [SIMPLE_EDGE] - SHUFFLE [RS_37] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_244] (rows=254100 width=1436) - Conds:RS_34._col1=RS_35._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_34] - PartitionCols:_col1 - Select Operator [SEL_24] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_221] (rows=1 width=0) - predicate:(ss_item_sk is not null and ss_sold_date_sk is not null) - TableScan [TS_22] (rows=1 width=0) - default@store_sales,store_sales,Tbl:PARTIAL,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ticket_number","ss_quantity","ss_ext_sales_price"] - <-Map 16 [SIMPLE_EDGE] - SHUFFLE [RS_35] - PartitionCols:_col0 - Select Operator [SEL_27] (rows=231000 width=1436) - Output:["_col0","_col1","_col2","_col3","_col5"] - Filter Operator [FIL_222] (rows=231000 width=1436) - predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) - TableScan [TS_25] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] - <-Reducer 22 [CONTAINS] - Reduce Output Operator [RS_71] - PartitionCols:_col0, _col1, _col2, _col3, _col4 - Group By Operator [GBY_70] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4 - Select Operator [SEL_68] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - Select Operator [SEL_67] (rows=307461 width=1436) + Select Operator [SEL_43] (rows=307461 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_246] (rows=307461 width=1436) + Conds:RS_40._col2, _col1=RS_41._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_41] + PartitionCols:_col1, _col0 + Select Operator [SEL_33] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_224] (rows=1 width=0) + predicate:sr_item_sk is not null + TableScan [TS_31] (rows=1 width=0) + default@store_returns,store_returns,Tbl:PARTIAL,Col:NONE,Output:["sr_item_sk","sr_ticket_number","sr_return_quantity","sr_return_amt"] + <-Reducer 14 [SIMPLE_EDGE] + SHUFFLE [RS_40] + PartitionCols:_col2, _col1 + Merge Join Operator [MERGEJOIN_245] (rows=279510 width=1436) + Conds:RS_37._col0=RS_38._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 17 [SIMPLE_EDGE] + SHUFFLE [RS_38] + PartitionCols:_col0 + Select Operator [SEL_30] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_223] (rows=36524 width=1119) + predicate:((d_year = 2002) and d_date_sk is not null) + TableScan [TS_28] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Reducer 13 [SIMPLE_EDGE] + SHUFFLE [RS_37] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_244] (rows=254100 width=1436) + Conds:RS_34._col1=RS_35._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 12 [SIMPLE_EDGE] + SHUFFLE [RS_34] + PartitionCols:_col1 + Select Operator [SEL_24] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_221] (rows=1 width=0) + predicate:(ss_item_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_22] (rows=1 width=0) + default@store_sales,store_sales,Tbl:PARTIAL,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ticket_number","ss_quantity","ss_ext_sales_price"] + <-Map 16 [SIMPLE_EDGE] + SHUFFLE [RS_35] + PartitionCols:_col0 + Select Operator [SEL_27] (rows=231000 width=1436) + Output:["_col0","_col1","_col2","_col3","_col5"] + Filter Operator [FIL_222] (rows=231000 width=1436) + predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) + TableScan [TS_25] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] + <-Reducer 22 [CONTAINS] + Reduce Output Operator [RS_71] + PartitionCols:2002, _col1, _col2, _col3, _col4 + Group By Operator [GBY_70] (rows=922383 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2002, _col1, _col2, _col3, _col4 + Select Operator [SEL_68] (rows=922383 width=1436) Output:["_col1","_col2","_col3","_col4","_col5","_col6"] - Merge Join Operator [MERGEJOIN_249] (rows=307461 width=1436) - Conds:RS_64._col2, _col1=RS_65._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] - <-Map 25 [SIMPLE_EDGE] - SHUFFLE [RS_65] - PartitionCols:_col1, _col0 - Select Operator [SEL_57] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_228] (rows=1 width=0) - predicate:wr_item_sk is not null - TableScan [TS_55] (rows=1 width=0) - default@web_returns,web_returns,Tbl:PARTIAL,Col:NONE,Output:["wr_item_sk","wr_order_number","wr_return_quantity","wr_return_amt"] - <-Reducer 21 [SIMPLE_EDGE] - SHUFFLE [RS_64] - PartitionCols:_col2, _col1 - Merge Join Operator [MERGEJOIN_248] (rows=279510 width=1436) - Conds:RS_61._col0=RS_62._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 24 [SIMPLE_EDGE] - SHUFFLE [RS_62] - PartitionCols:_col0 - Select Operator [SEL_54] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_227] (rows=36524 width=1119) - predicate:((d_year = 2002) and d_date_sk is not null) - TableScan [TS_52] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Reducer 20 [SIMPLE_EDGE] - SHUFFLE [RS_61] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_247] (rows=254100 width=1436) - Conds:RS_58._col1=RS_59._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 19 [SIMPLE_EDGE] - SHUFFLE [RS_58] - PartitionCols:_col1 - Select Operator [SEL_48] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_225] (rows=1 width=0) - predicate:(ws_item_sk is not null and ws_sold_date_sk is not null) - TableScan [TS_46] (rows=1 width=0) - default@web_sales,web_sales,Tbl:PARTIAL,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_order_number","ws_quantity","ws_ext_sales_price"] - <-Map 23 [SIMPLE_EDGE] - SHUFFLE [RS_59] - PartitionCols:_col0 - Select Operator [SEL_51] (rows=231000 width=1436) - Output:["_col0","_col1","_col2","_col3","_col5"] - Filter Operator [FIL_226] (rows=231000 width=1436) - predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) - TableScan [TS_49] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] - <-Reducer 4 [CONTAINS] - Reduce Output Operator [RS_71] - PartitionCols:_col0, _col1, _col2, _col3, _col4 - Group By Operator [GBY_70] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4 - Select Operator [SEL_68] (rows=922383 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - Select Operator [SEL_21] (rows=307461 width=1436) + Select Operator [SEL_67] (rows=307461 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_249] (rows=307461 width=1436) + Conds:RS_64._col2, _col1=RS_65._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] + <-Map 25 [SIMPLE_EDGE] + SHUFFLE [RS_65] + PartitionCols:_col1, _col0 + Select Operator [SEL_57] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_228] (rows=1 width=0) + predicate:wr_item_sk is not null + TableScan [TS_55] (rows=1 width=0) + default@web_returns,web_returns,Tbl:PARTIAL,Col:NONE,Output:["wr_item_sk","wr_order_number","wr_return_quantity","wr_return_amt"] + <-Reducer 21 [SIMPLE_EDGE] + SHUFFLE [RS_64] + PartitionCols:_col2, _col1 + Merge Join Operator [MERGEJOIN_248] (rows=279510 width=1436) + Conds:RS_61._col0=RS_62._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 24 [SIMPLE_EDGE] + SHUFFLE [RS_62] + PartitionCols:_col0 + Select Operator [SEL_54] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_227] (rows=36524 width=1119) + predicate:((d_year = 2002) and d_date_sk is not null) + TableScan [TS_52] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Reducer 20 [SIMPLE_EDGE] + SHUFFLE [RS_61] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_247] (rows=254100 width=1436) + Conds:RS_58._col1=RS_59._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 19 [SIMPLE_EDGE] + SHUFFLE [RS_58] + PartitionCols:_col1 + Select Operator [SEL_48] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_225] (rows=1 width=0) + predicate:(ws_item_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_46] (rows=1 width=0) + default@web_sales,web_sales,Tbl:PARTIAL,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_order_number","ws_quantity","ws_ext_sales_price"] + <-Map 23 [SIMPLE_EDGE] + SHUFFLE [RS_59] + PartitionCols:_col0 + Select Operator [SEL_51] (rows=231000 width=1436) + Output:["_col0","_col1","_col2","_col3","_col5"] + Filter Operator [FIL_226] (rows=231000 width=1436) + predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) + TableScan [TS_49] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] + <-Reducer 4 [CONTAINS] + Reduce Output Operator [RS_71] + PartitionCols:2002, _col1, _col2, _col3, _col4 + Group By Operator [GBY_70] (rows=922383 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2002, _col1, _col2, _col3, _col4 + Select Operator [SEL_68] (rows=922383 width=1436) Output:["_col1","_col2","_col3","_col4","_col5","_col6"] - Merge Join Operator [MERGEJOIN_243] (rows=307461 width=1436) - Conds:RS_18._col2, _col1=RS_19._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] - <-Map 11 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col1, _col0 - Select Operator [SEL_11] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_220] (rows=1 width=0) - predicate:cr_item_sk is not null - TableScan [TS_9] (rows=1 width=0) - default@catalog_returns,catalog_returns,Tbl:PARTIAL,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_return_quantity","cr_return_amount"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col2, _col1 - Merge Join Operator [MERGEJOIN_242] (rows=279510 width=1436) - Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 10 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_219] (rows=36524 width=1119) - predicate:((d_year = 2002) and d_date_sk is not null) - TableScan [TS_6] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_15] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_241] (rows=254100 width=1436) - Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col1 - Select Operator [SEL_2] (rows=1 width=0) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_217] (rows=1 width=0) - predicate:(cs_item_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_0] (rows=1 width=0) - default@catalog_sales,catalog_sales,Tbl:PARTIAL,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_order_number","cs_quantity","cs_ext_sales_price"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=231000 width=1436) - Output:["_col0","_col1","_col2","_col3","_col5"] - Filter Operator [FIL_218] (rows=231000 width=1436) - predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) - TableScan [TS_3] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"] + Select Operator [SEL_21] (rows=307461 width=1436) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_243] (rows=307461 width=1436) + Conds:RS_18._col2, _col1=RS_19._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"] + <-Map 11 [SIMPLE_EDGE] + SHUFFLE [RS_19] + PartitionCols:_col1, _col0 + Select Operator [SEL_11] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_220] (rows=1 width=0) + predicate:cr_item_sk is not null + TableScan [TS_9] (rows=1 width=0) + default@catalog_returns,catalog_returns,Tbl:PARTIAL,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_return_quantity","cr_return_amount"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col2, _col1 + Merge Join Operator [MERGEJOIN_242] (rows=279510 width=1436) + Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 10 [SIMPLE_EDGE] + SHUFFLE [RS_16] + PartitionCols:_col0 + Select Operator [SEL_8] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_219] (rows=36524 width=1119) + predicate:((d_year = 2002) and d_date_sk is not null) + TableScan [TS_6] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_15] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_241] (rows=254100 width=1436) + Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_12] + PartitionCols:_col1 + Select Operator [SEL_2] (rows=1 width=0) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_217] (rows=1 width=0) + predicate:(cs_item_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_0] (rows=1 width=0) + default@catalog_sales,catalog_sales,Tbl:PARTIAL,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_order_number","cs_quantity","cs_ext_sales_price"] + <-Map 9 [SIMPLE_EDGE] + SHUFFLE [RS_13] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=231000 width=1436) + Output:["_col0","_col1","_col2","_col3","_col5"] + Filter Operator [FIL_218] (rows=231000 width=1436) + predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) + TableScan [TS_3] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
http://git-wip-us.apache.org/repos/asf/hive/blob/09271872/ql/src/test/results/clientpositive/spark/union_remove_25.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/spark/union_remove_25.q.out b/ql/src/test/results/clientpositive/spark/union_remove_25.q.out index 190bea5..eb95cad 100644 --- a/ql/src/test/results/clientpositive/spark/union_remove_25.q.out +++ b/ql/src/test/results/clientpositive/spark/union_remove_25.q.out @@ -458,21 +458,17 @@ STAGE PLANS: Number of rows: 1000 Statistics: Num rows: 1000 Data size: 10000 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string) - outputColumnNames: _col0, _col1, _col3 - Statistics: Num rows: 1000 Data size: 10000 Basic stats: COMPLETE Column stats: NONE - Select Operator - expressions: _col0 (type: string), UDFToLong(_col1) (type: bigint), '2008-04-08' (type: string), _col3 (type: string) - outputColumnNames: _col0, _col1, _col2, _col3 + expressions: _col0 (type: string), UDFToLong(_col1) (type: bigint), '2008-04-08' (type: string), _col2 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE - File Output Operator - compressed: false - Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE - table: - input format: org.apache.hadoop.mapred.TextInputFormat - output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat - serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe - name: default.outputtbl3 + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.outputtbl3 Reducer 4 Reduce Operator Tree: Select Operator @@ -483,21 +479,17 @@ STAGE PLANS: Number of rows: 1000 Statistics: Num rows: 1000 Data size: 10000 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string) - outputColumnNames: _col0, _col1, _col3 - Statistics: Num rows: 1000 Data size: 10000 Basic stats: COMPLETE Column stats: NONE - Select Operator - expressions: _col0 (type: string), UDFToLong(_col1) (type: bigint), '2008-04-08' (type: string), _col3 (type: string) - outputColumnNames: _col0, _col1, _col2, _col3 + expressions: _col0 (type: string), UDFToLong(_col1) (type: bigint), '2008-04-08' (type: string), _col2 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE - File Output Operator - compressed: false - Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE - table: - input format: org.apache.hadoop.mapred.TextInputFormat - output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat - serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe - name: default.outputtbl3 + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.outputtbl3 Stage: Stage-0 Move Operator http://git-wip-us.apache.org/repos/asf/hive/blob/09271872/ql/src/test/results/clientpositive/spark/union_view.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/spark/union_view.q.out b/ql/src/test/results/clientpositive/spark/union_view.q.out index 402d9fd..3372afb 100644 --- a/ql/src/test/results/clientpositive/spark/union_view.q.out +++ b/ql/src/test/results/clientpositive/spark/union_view.q.out @@ -272,10 +272,10 @@ STAGE PLANS: Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '1' (type: string) + expressions: 86 (type: int), _col0 (type: string), '1' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -296,10 +296,10 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '1' (type: string) + expressions: 86 (type: int), _col0 (type: string), '1' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -320,10 +320,10 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '1' (type: string) + expressions: 86 (type: int), _col0 (type: string), '1' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -360,10 +360,10 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '2' (type: string) + expressions: 86 (type: int), _col0 (type: string), '2' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -384,10 +384,10 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '2' (type: string) + expressions: 86 (type: int), _col0 (type: string), '2' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -408,10 +408,10 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '2' (type: string) + expressions: 86 (type: int), _col0 (type: string), '2' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -448,10 +448,10 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '3' (type: string) + expressions: 86 (type: int), _col0 (type: string), '3' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -472,10 +472,10 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '3' (type: string) + expressions: 86 (type: int), _col0 (type: string), '3' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -496,10 +496,10 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '3' (type: string) + expressions: 86 (type: int), _col0 (type: string), '3' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -538,10 +538,10 @@ STAGE PLANS: Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: value (type: string), ds (type: string) - outputColumnNames: _col1, _col2 + outputColumnNames: _col0, _col1 Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col1 (type: string), _col2 (type: string) + expressions: _col0 (type: string), _col1 (type: string) outputColumnNames: _col1, _col2 Statistics: Num rows: 1250 Data size: 13280 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator @@ -560,10 +560,10 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: value (type: string), ds (type: string) - outputColumnNames: _col1, _col2 + outputColumnNames: _col0, _col1 Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col1 (type: string), _col2 (type: string) + expressions: _col0 (type: string), _col1 (type: string) outputColumnNames: _col1, _col2 Statistics: Num rows: 1250 Data size: 13280 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator @@ -582,10 +582,10 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: value (type: string), ds (type: string) - outputColumnNames: _col1, _col2 + outputColumnNames: _col0, _col1 Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col1 (type: string), _col2 (type: string) + expressions: _col0 (type: string), _col1 (type: string) outputColumnNames: _col1, _col2 Statistics: Num rows: 1250 Data size: 13280 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator @@ -931,10 +931,10 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '4' (type: string) + expressions: 86 (type: int), _col0 (type: string), '4' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -955,10 +955,10 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '4' (type: string) + expressions: 86 (type: int), _col0 (type: string), '4' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -979,10 +979,10 @@ STAGE PLANS: Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: value (type: string) - outputColumnNames: _col1 + outputColumnNames: _col0 Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: 86 (type: int), _col1 (type: string), '4' (type: string) + expressions: 86 (type: int), _col0 (type: string), '4' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE File Output Operator
