http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query75.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query75.q.out b/ql/src/test/results/clientpositive/perf/tez/query75.q.out new file mode 100644 index 0000000..08e1620 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query75.q.out @@ -0,0 +1,481 @@ +PREHOOK: query: explain +WITH all_sales AS ( + SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,SUM(sales_cnt) AS sales_cnt + ,SUM(sales_amt) AS sales_amt + FROM (SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt + ,cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt + FROM catalog_sales JOIN item ON i_item_sk=cs_item_sk + JOIN date_dim ON d_date_sk=cs_sold_date_sk + LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number + AND cs_item_sk=cr_item_sk) + WHERE i_category='Sports' + UNION + SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt + ,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt + FROM store_sales JOIN item ON i_item_sk=ss_item_sk + JOIN date_dim ON d_date_sk=ss_sold_date_sk + LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number + AND ss_item_sk=sr_item_sk) + WHERE i_category='Sports' + UNION + SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt + ,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt + FROM web_sales JOIN item ON i_item_sk=ws_item_sk + JOIN date_dim ON d_date_sk=ws_sold_date_sk + LEFT JOIN web_returns ON (ws_order_number=wr_order_number + AND ws_item_sk=wr_item_sk) + WHERE i_category='Sports') sales_detail + GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id) + SELECT prev_yr.d_year AS prev_year + ,curr_yr.d_year AS year + ,curr_yr.i_brand_id + ,curr_yr.i_class_id + ,curr_yr.i_category_id + ,curr_yr.i_manufact_id + ,prev_yr.sales_cnt AS prev_yr_cnt + ,curr_yr.sales_cnt AS curr_yr_cnt + ,curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff + ,curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff + FROM all_sales curr_yr, all_sales prev_yr + WHERE curr_yr.i_brand_id=prev_yr.i_brand_id + AND curr_yr.i_class_id=prev_yr.i_class_id + AND curr_yr.i_category_id=prev_yr.i_category_id + AND curr_yr.i_manufact_id=prev_yr.i_manufact_id + AND curr_yr.d_year=2002 + AND prev_yr.d_year=2002-1 + AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9 + ORDER BY sales_cnt_diff + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +WITH all_sales AS ( + SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,SUM(sales_cnt) AS sales_cnt + ,SUM(sales_amt) AS sales_amt + FROM (SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt + ,cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt + FROM catalog_sales JOIN item ON i_item_sk=cs_item_sk + JOIN date_dim ON d_date_sk=cs_sold_date_sk + LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number + AND cs_item_sk=cr_item_sk) + WHERE i_category='Sports' + UNION + SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt + ,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt + FROM store_sales JOIN item ON i_item_sk=ss_item_sk + JOIN date_dim ON d_date_sk=ss_sold_date_sk + LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number + AND ss_item_sk=sr_item_sk) + WHERE i_category='Sports' + UNION + SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt + ,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt + FROM web_sales JOIN item ON i_item_sk=ws_item_sk + JOIN date_dim ON d_date_sk=ws_sold_date_sk + LEFT JOIN web_returns ON (ws_order_number=wr_order_number + AND ws_item_sk=wr_item_sk) + WHERE i_category='Sports') sales_detail + GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id) + SELECT prev_yr.d_year AS prev_year + ,curr_yr.d_year AS year + ,curr_yr.i_brand_id + ,curr_yr.i_class_id + ,curr_yr.i_category_id + ,curr_yr.i_manufact_id + ,prev_yr.sales_cnt AS prev_yr_cnt + ,curr_yr.sales_cnt AS curr_yr_cnt + ,curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff + ,curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff + FROM all_sales curr_yr, all_sales prev_yr + WHERE curr_yr.i_brand_id=prev_yr.i_brand_id + AND curr_yr.i_class_id=prev_yr.i_class_id + AND curr_yr.i_category_id=prev_yr.i_category_id + AND curr_yr.i_manufact_id=prev_yr.i_manufact_id + AND curr_yr.d_year=2002 + AND prev_yr.d_year=2002-1 + AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9 + ORDER BY sales_cnt_diff + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Reducer 9 (SIMPLE_EDGE) +Reducer 11 <- Map 1 (SIMPLE_EDGE), Map 18 (SIMPLE_EDGE) +Reducer 12 <- Map 31 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE) +Reducer 13 <- Map 32 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE), Union 14 (CONTAINS) +Reducer 15 <- Union 14 (SIMPLE_EDGE), Union 16 (CONTAINS) +Reducer 17 <- Union 16 (SIMPLE_EDGE) +Reducer 19 <- Map 18 (SIMPLE_EDGE), Map 33 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 18 (SIMPLE_EDGE) +Reducer 20 <- Map 31 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE) +Reducer 21 <- Map 34 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE), Union 5 (CONTAINS) +Reducer 22 <- Map 18 (SIMPLE_EDGE), Map 35 (SIMPLE_EDGE) +Reducer 23 <- Map 31 (SIMPLE_EDGE), Reducer 22 (SIMPLE_EDGE) +Reducer 24 <- Map 36 (SIMPLE_EDGE), Reducer 23 (SIMPLE_EDGE), Union 7 (CONTAINS) +Reducer 25 <- Map 18 (SIMPLE_EDGE), Map 33 (SIMPLE_EDGE) +Reducer 26 <- Map 31 (SIMPLE_EDGE), Reducer 25 (SIMPLE_EDGE) +Reducer 27 <- Map 34 (SIMPLE_EDGE), Reducer 26 (SIMPLE_EDGE), Union 14 (CONTAINS) +Reducer 28 <- Map 18 (SIMPLE_EDGE), Map 35 (SIMPLE_EDGE) +Reducer 29 <- Map 31 (SIMPLE_EDGE), Reducer 28 (SIMPLE_EDGE) +Reducer 3 <- Map 31 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 30 <- Map 36 (SIMPLE_EDGE), Reducer 29 (SIMPLE_EDGE), Union 16 (CONTAINS) +Reducer 4 <- Map 32 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE), Union 5 (CONTAINS) +Reducer 6 <- Union 5 (SIMPLE_EDGE), Union 7 (CONTAINS) +Reducer 8 <- Union 7 (SIMPLE_EDGE) +Reducer 9 <- Reducer 17 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:-1 + Stage-1 + Reducer 10 + File Output Operator [FS_179] + Select Operator [SEL_178] (rows=100 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"] + Limit [LIM_177] (rows=100 width=111) + Number of rows:100 + Select Operator [SEL_176] (rows=70276244 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_175] + Select Operator [SEL_174] (rows=70276244 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + Filter Operator [FIL_173] (rows=70276244 width=111) + predicate:((CAST( _col10 AS decimal(17,2)) / CAST( _col4 AS decimal(17,2))) < 0.9) + Merge Join Operator [MERGEJOIN_282] (rows=210828734 width=111) + Conds:RS_170._col0, _col1, _col2, _col3=RS_171._col0, _col1, _col2, _col3(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col10","_col11"] + <-Reducer 17 [SIMPLE_EDGE] + SHUFFLE [RS_171] + PartitionCols:_col0, _col1, _col2, _col3 + Group By Operator [GBY_168] (rows=191662482 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col4)","sum(_col5)"],keys:_col0, _col1, _col2, _col3 + Group By Operator [GBY_163] (rows=383324964 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5 + <-Union 16 [SIMPLE_EDGE] + <-Reducer 15 [CONTAINS] + Reduce Output Operator [RS_162] + PartitionCols:_col0, _col1, _col2, _col3 + Group By Operator [GBY_161] (rows=766649929 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:_col0, _col1, _col2, _col3, _col4, _col5 + Group By Operator [GBY_134] (rows=574982367 width=103) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5 + <-Union 14 [SIMPLE_EDGE] + <-Reducer 13 [CONTAINS] + Reduce Output Operator [RS_133] + PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5 + Group By Operator [GBY_132] (rows=1149964734 width=103) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:_col0, _col1, _col2, _col3, _col4, _col5 + Select Operator [SEL_106] (rows=383314495 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_275] (rows=383314495 width=135) + Conds:RS_103._col1, _col2=RS_104._col0, _col1(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"] + <-Map 32 [SIMPLE_EDGE] + SHUFFLE [RS_104] + PartitionCols:_col0, _col1 + Select Operator [SEL_11] (rows=28798881 width=106) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_243] (rows=28798881 width=106) + predicate:cr_item_sk is not null + TableScan [TS_9] (rows=28798881 width=106) + default@catalog_returns,catalog_returns,Tbl:COMPLETE,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_return_quantity","cr_return_amount"] + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_103] + PartitionCols:_col1, _col2 + Merge Join Operator [MERGEJOIN_274] (rows=348467716 width=135) + Conds:RS_100._col1=RS_101._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"] + <-Map 31 [SIMPLE_EDGE] + SHUFFLE [RS_101] + PartitionCols:_col0 + Select Operator [SEL_8] (rows=231000 width=1436) + Output:["_col0","_col1","_col2","_col3","_col5"] + Filter Operator [FIL_242] (rows=231000 width=1436) + predicate:((i_category = 'Sports') and i_brand_id is not null and i_category_id is not null and i_class_id is not null and i_item_sk is not null and i_manufact_id is not null) + TableScan [TS_6] (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 11 [SIMPLE_EDGE] + SHUFFLE [RS_100] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_273] (rows=316788826 width=135) + Conds:RS_97._col0=RS_98._col0(Inner),Output:["_col1","_col2","_col3","_col4"] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_98] + PartitionCols:_col0 + Select Operator [SEL_90] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_253] (rows=36524 width=1119) + predicate:((d_year = 2002) and d_date_sk is not null) + TableScan [TS_3] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_97] + PartitionCols:_col0 + Select Operator [SEL_2] (rows=287989836 width=135) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_240] (rows=287989836 width=135) + predicate:(cs_item_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_0] (rows=287989836 width=135) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_order_number","cs_quantity","cs_ext_sales_price"] + <-Reducer 27 [CONTAINS] + Reduce Output Operator [RS_133] + PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5 + Group By Operator [GBY_132] (rows=1149964734 width=103) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:_col0, _col1, _col2, _col3, _col4, _col5 + Select Operator [SEL_128] (rows=766650239 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_278] (rows=766650239 width=88) + Conds:RS_125._col1, _col2=RS_126._col0, _col1(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"] + <-Map 34 [SIMPLE_EDGE] + SHUFFLE [RS_126] + PartitionCols:_col0, _col1 + Select Operator [SEL_33] (rows=57591150 width=77) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_247] (rows=57591150 width=77) + predicate:sr_item_sk is not null + TableScan [TS_31] (rows=57591150 width=77) + default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_item_sk","sr_ticket_number","sr_return_quantity","sr_return_amt"] + <-Reducer 26 [SIMPLE_EDGE] + SHUFFLE [RS_125] + PartitionCols:_col1, _col2 + Merge Join Operator [MERGEJOIN_277] (rows=696954748 width=88) + Conds:RS_122._col1=RS_123._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"] + <-Map 31 [SIMPLE_EDGE] + SHUFFLE [RS_123] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_8] + <-Reducer 25 [SIMPLE_EDGE] + SHUFFLE [RS_122] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_276] (rows=633595212 width=88) + Conds:RS_119._col0=RS_120._col0(Inner),Output:["_col1","_col2","_col3","_col4"] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_120] + PartitionCols:_col0 + Select Operator [SEL_112] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_257] (rows=36524 width=1119) + predicate:((d_year = 2002) and d_date_sk is not null) + Please refer to the previous TableScan [TS_3] + <-Map 33 [SIMPLE_EDGE] + SHUFFLE [RS_119] + PartitionCols:_col0 + Select Operator [SEL_24] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_244] (rows=575995635 width=88) + predicate:(ss_item_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_22] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ticket_number","ss_quantity","ss_ext_sales_price"] + <-Reducer 30 [CONTAINS] + Reduce Output Operator [RS_162] + PartitionCols:_col0, _col1, _col2, _col3 + Group By Operator [GBY_161] (rows=766649929 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:_col0, _col1, _col2, _col3, _col4, _col5 + Select Operator [SEL_157] (rows=191667562 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_281] (rows=191667562 width=135) + Conds:RS_154._col1, _col2=RS_155._col0, _col1(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"] + <-Map 36 [SIMPLE_EDGE] + SHUFFLE [RS_155] + PartitionCols:_col0, _col1 + Select Operator [SEL_62] (rows=14398467 width=92) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_251] (rows=14398467 width=92) + predicate:wr_item_sk is not null + TableScan [TS_60] (rows=14398467 width=92) + default@web_returns,web_returns,Tbl:COMPLETE,Col:NONE,Output:["wr_item_sk","wr_order_number","wr_return_quantity","wr_return_amt"] + <-Reducer 29 [SIMPLE_EDGE] + SHUFFLE [RS_154] + PartitionCols:_col1, _col2 + Merge Join Operator [MERGEJOIN_280] (rows=174243235 width=135) + Conds:RS_151._col1=RS_152._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"] + <-Map 31 [SIMPLE_EDGE] + SHUFFLE [RS_152] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_8] + <-Reducer 28 [SIMPLE_EDGE] + SHUFFLE [RS_151] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_279] (rows=158402938 width=135) + Conds:RS_148._col0=RS_149._col0(Inner),Output:["_col1","_col2","_col3","_col4"] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_149] + PartitionCols:_col0 + Select Operator [SEL_141] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_261] (rows=36524 width=1119) + predicate:((d_year = 2002) and d_date_sk is not null) + Please refer to the previous TableScan [TS_3] + <-Map 35 [SIMPLE_EDGE] + SHUFFLE [RS_148] + PartitionCols:_col0 + Select Operator [SEL_53] (rows=144002668 width=135) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_248] (rows=144002668 width=135) + predicate:(ws_item_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_51] (rows=144002668 width=135) + default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_order_number","ws_quantity","ws_ext_sales_price"] + <-Reducer 8 [SIMPLE_EDGE] + SHUFFLE [RS_170] + PartitionCols:_col0, _col1, _col2, _col3 + Group By Operator [GBY_83] (rows=191662482 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col4)","sum(_col5)"],keys:_col0, _col1, _col2, _col3 + Group By Operator [GBY_78] (rows=383324964 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5 + <-Union 7 [SIMPLE_EDGE] + <-Reducer 24 [CONTAINS] + Reduce Output Operator [RS_77] + PartitionCols:_col0, _col1, _col2, _col3 + Group By Operator [GBY_76] (rows=766649929 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:_col0, _col1, _col2, _col3, _col4, _col5 + Select Operator [SEL_72] (rows=191667562 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_272] (rows=191667562 width=135) + Conds:RS_69._col1, _col2=RS_70._col0, _col1(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"] + <-Map 36 [SIMPLE_EDGE] + SHUFFLE [RS_70] + PartitionCols:_col0, _col1 + Please refer to the previous Select Operator [SEL_62] + <-Reducer 23 [SIMPLE_EDGE] + SHUFFLE [RS_69] + PartitionCols:_col1, _col2 + Merge Join Operator [MERGEJOIN_271] (rows=174243235 width=135) + Conds:RS_66._col1=RS_67._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"] + <-Map 31 [SIMPLE_EDGE] + SHUFFLE [RS_67] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_8] + <-Reducer 22 [SIMPLE_EDGE] + SHUFFLE [RS_66] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_270] (rows=158402938 width=135) + Conds:RS_63._col0=RS_64._col0(Inner),Output:["_col1","_col2","_col3","_col4"] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_64] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_241] (rows=36524 width=1119) + predicate:((d_year = 2001) and d_date_sk is not null) + Please refer to the previous TableScan [TS_3] + <-Map 35 [SIMPLE_EDGE] + SHUFFLE [RS_63] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_53] + <-Reducer 6 [CONTAINS] + Reduce Output Operator [RS_77] + PartitionCols:_col0, _col1, _col2, _col3 + Group By Operator [GBY_76] (rows=766649929 width=111) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:_col0, _col1, _col2, _col3, _col4, _col5 + Group By Operator [GBY_49] (rows=574982367 width=103) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5 + <-Union 5 [SIMPLE_EDGE] + <-Reducer 21 [CONTAINS] + Reduce Output Operator [RS_48] + PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5 + Group By Operator [GBY_47] (rows=1149964734 width=103) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:_col0, _col1, _col2, _col3, _col4, _col5 + Select Operator [SEL_43] (rows=766650239 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_269] (rows=766650239 width=88) + Conds:RS_40._col1, _col2=RS_41._col0, _col1(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"] + <-Map 34 [SIMPLE_EDGE] + SHUFFLE [RS_41] + PartitionCols:_col0, _col1 + Please refer to the previous Select Operator [SEL_33] + <-Reducer 20 [SIMPLE_EDGE] + SHUFFLE [RS_40] + PartitionCols:_col1, _col2 + Merge Join Operator [MERGEJOIN_268] (rows=696954748 width=88) + Conds:RS_37._col1=RS_38._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"] + <-Map 31 [SIMPLE_EDGE] + SHUFFLE [RS_38] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_8] + <-Reducer 19 [SIMPLE_EDGE] + SHUFFLE [RS_37] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_267] (rows=633595212 width=88) + Conds:RS_34._col0=RS_35._col0(Inner),Output:["_col1","_col2","_col3","_col4"] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_35] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 33 [SIMPLE_EDGE] + SHUFFLE [RS_34] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_24] + <-Reducer 4 [CONTAINS] + Reduce Output Operator [RS_48] + PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5 + Group By Operator [GBY_47] (rows=1149964734 width=103) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],keys:_col0, _col1, _col2, _col3, _col4, _col5 + Select Operator [SEL_21] (rows=383314495 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_266] (rows=383314495 width=135) + Conds:RS_18._col1, _col2=RS_19._col0, _col1(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"] + <-Map 32 [SIMPLE_EDGE] + SHUFFLE [RS_19] + PartitionCols:_col0, _col1 + Please refer to the previous Select Operator [SEL_11] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col1, _col2 + Merge Join Operator [MERGEJOIN_265] (rows=348467716 width=135) + Conds:RS_15._col1=RS_16._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"] + <-Map 31 [SIMPLE_EDGE] + SHUFFLE [RS_16] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_8] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_15] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_264] (rows=316788826 width=135) + Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col1","_col2","_col3","_col4"] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_13] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_12] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_2] +
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query76.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query76.q.out b/ql/src/test/results/clientpositive/perf/tez/query76.q.out new file mode 100644 index 0000000..f2492c2 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query76.q.out @@ -0,0 +1,187 @@ +PREHOOK: query: explain +select channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM ( + SELECT 'store' as channel, 'ss_addr_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price + FROM store_sales, item, date_dim + WHERE ss_addr_sk IS NULL + AND ss_sold_date_sk=d_date_sk + AND ss_item_sk=i_item_sk + UNION ALL + SELECT 'web' as channel, 'ws_web_page_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price + FROM web_sales, item, date_dim + WHERE ws_web_page_sk IS NULL + AND ws_sold_date_sk=d_date_sk + AND ws_item_sk=i_item_sk + UNION ALL + SELECT 'catalog' as channel, 'cs_warehouse_sk' col_name, d_year, d_qoy, i_category, cs_ext_sales_price ext_sales_price + FROM catalog_sales, item, date_dim + WHERE cs_warehouse_sk IS NULL + AND cs_sold_date_sk=d_date_sk + AND cs_item_sk=i_item_sk) foo +GROUP BY channel, col_name, d_year, d_qoy, i_category +ORDER BY channel, col_name, d_year, d_qoy, i_category +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM ( + SELECT 'store' as channel, 'ss_addr_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price + FROM store_sales, item, date_dim + WHERE ss_addr_sk IS NULL + AND ss_sold_date_sk=d_date_sk + AND ss_item_sk=i_item_sk + UNION ALL + SELECT 'web' as channel, 'ws_web_page_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price + FROM web_sales, item, date_dim + WHERE ws_web_page_sk IS NULL + AND ws_sold_date_sk=d_date_sk + AND ws_item_sk=i_item_sk + UNION ALL + SELECT 'catalog' as channel, 'cs_warehouse_sk' col_name, d_year, d_qoy, i_category, cs_ext_sales_price ext_sales_price + FROM catalog_sales, item, date_dim + WHERE cs_warehouse_sk IS NULL + AND cs_sold_date_sk=d_date_sk + AND cs_item_sk=i_item_sk) foo +GROUP BY channel, col_name, d_year, d_qoy, i_category +ORDER BY channel, col_name, d_year, d_qoy, i_category +limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Map 16 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE), Union 4 (CONTAINS) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 11 (SIMPLE_EDGE) +Reducer 3 <- Map 12 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE), Union 4 (CONTAINS) +Reducer 5 <- Union 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Map 1 (SIMPLE_EDGE), Map 13 (SIMPLE_EDGE) +Reducer 8 <- Map 14 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE), Union 4 (CONTAINS) +Reducer 9 <- Map 1 (SIMPLE_EDGE), Map 15 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 6 + File Output Operator [FS_58] + Limit [LIM_57] (rows=100 width=108) + Number of rows:100 + Select Operator [SEL_56] (rows=304916424 width=108) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_55] + Group By Operator [GBY_53] (rows=304916424 width=108) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4 + <-Union 4 [SIMPLE_EDGE] + <-Reducer 10 [CONTAINS] + Reduce Output Operator [RS_52] + PartitionCols:_col0, _col1, _col2, _col3, _col4 + Group By Operator [GBY_51] (rows=609832848 width=108) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["count()","sum(_col5)"],keys:_col0, _col1, _col2, _col3, _col4 + Select Operator [SEL_48] (rows=174233858 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_88] (rows=174233858 width=135) + Conds:RS_45._col0=RS_46._col0(Inner),Output:["_col3","_col5","_col7","_col8"] + <-Map 16 [SIMPLE_EDGE] + SHUFFLE [RS_46] + PartitionCols:_col0 + Select Operator [SEL_41] (rows=73049 width=1119) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_82] (rows=73049 width=1119) + predicate:d_date_sk is not null + TableScan [TS_39] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"] + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_45] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_87] (rows=158394413 width=135) + Conds:RS_42._col2=RS_43._col0(Inner),Output:["_col0","_col3","_col5"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_43] + PartitionCols:_col0 + Select Operator [SEL_2] (rows=462000 width=1436) + Output:["_col0","_col1"] + Filter Operator [FIL_74] (rows=462000 width=1436) + predicate:i_item_sk is not null + TableScan [TS_0] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_category"] + <-Map 15 [SIMPLE_EDGE] + SHUFFLE [RS_42] + PartitionCols:_col2 + Select Operator [SEL_35] (rows=143994918 width=135) + Output:["_col0","_col2","_col3"] + Filter Operator [FIL_80] (rows=143994918 width=135) + predicate:(cs_item_sk is not null and cs_sold_date_sk is not null and cs_warehouse_sk is null) + TableScan [TS_33] (rows=287989836 width=135) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_warehouse_sk","cs_item_sk","cs_ext_sales_price"] + <-Reducer 3 [CONTAINS] + Reduce Output Operator [RS_52] + PartitionCols:_col0, _col1, _col2, _col3, _col4 + Group By Operator [GBY_51] (rows=609832848 width=108) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["count()","sum(_col5)"],keys:_col0, _col1, _col2, _col3, _col4 + Select Operator [SEL_15] (rows=348477373 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_84] (rows=348477373 width=88) + Conds:RS_12._col2=RS_13._col0(Inner),Output:["_col1","_col5","_col7","_col8"] + <-Map 12 [SIMPLE_EDGE] + SHUFFLE [RS_13] + PartitionCols:_col0 + Select Operator [SEL_8] (rows=73049 width=1119) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_76] (rows=73049 width=1119) + predicate: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","d_qoy"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_12] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_83] (rows=316797605 width=88) + Conds:RS_9._col0=RS_10._col1(Inner),Output:["_col1","_col2","_col5"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_9] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_2] + <-Map 11 [SIMPLE_EDGE] + SHUFFLE [RS_10] + PartitionCols:_col1 + Select Operator [SEL_5] (rows=287997817 width=88) + Output:["_col0","_col1","_col3"] + Filter Operator [FIL_75] (rows=287997817 width=88) + predicate:(ss_addr_sk is null and ss_item_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_3] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_addr_sk","ss_ext_sales_price"] + <-Reducer 8 [CONTAINS] + Reduce Output Operator [RS_52] + PartitionCols:_col0, _col1, _col2, _col3, _col4 + Group By Operator [GBY_51] (rows=609832848 width=108) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["count()","sum(_col5)"],keys:_col0, _col1, _col2, _col3, _col4 + Select Operator [SEL_31] (rows=87121617 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_86] (rows=87121617 width=135) + Conds:RS_28._col0=RS_29._col0(Inner),Output:["_col3","_col5","_col7","_col8"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_29] + PartitionCols:_col0 + Select Operator [SEL_24] (rows=73049 width=1119) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_79] (rows=73049 width=1119) + predicate:d_date_sk is not null + TableScan [TS_22] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"] + <-Reducer 7 [SIMPLE_EDGE] + SHUFFLE [RS_28] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_85] (rows=79201469 width=135) + Conds:RS_25._col1=RS_26._col0(Inner),Output:["_col0","_col3","_col5"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_26] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_2] + <-Map 13 [SIMPLE_EDGE] + SHUFFLE [RS_25] + PartitionCols:_col1 + Select Operator [SEL_18] (rows=72001334 width=135) + Output:["_col0","_col1","_col3"] + Filter Operator [FIL_77] (rows=72001334 width=135) + predicate:(ws_item_sk is not null and ws_sold_date_sk is not null and ws_web_page_sk is null) + TableScan [TS_16] (rows=144002668 width=135) + default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_web_page_sk","ws_ext_sales_price"] + http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query77.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query77.q.out b/ql/src/test/results/clientpositive/perf/tez/query77.q.out new file mode 100644 index 0000000..d10e226 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query77.q.out @@ -0,0 +1,481 @@ +Warning: Shuffle Join MERGEJOIN[188][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 15' is a cross product +PREHOOK: query: explain +with ss as + (select s_store_sk, + sum(ss_ext_sales_price) as sales, + sum(ss_net_profit) as profit + from store_sales, + date_dim, + store + where ss_sold_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + and ss_store_sk = s_store_sk + group by s_store_sk) + , + sr as + (select s_store_sk, + sum(sr_return_amt) as returns, + sum(sr_net_loss) as profit_loss + from store_returns, + date_dim, + store + where sr_returned_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + and sr_store_sk = s_store_sk + group by s_store_sk), + cs as + (select cs_call_center_sk, + sum(cs_ext_sales_price) as sales, + sum(cs_net_profit) as profit + from catalog_sales, + date_dim + where cs_sold_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + group by cs_call_center_sk + ), + cr as + (select + sum(cr_return_amount) as returns, + sum(cr_net_loss) as profit_loss + from catalog_returns, + date_dim + where cr_returned_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + ), + ws as + ( select wp_web_page_sk, + sum(ws_ext_sales_price) as sales, + sum(ws_net_profit) as profit + from web_sales, + date_dim, + web_page + where ws_sold_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + and ws_web_page_sk = wp_web_page_sk + group by wp_web_page_sk), + wr as + (select wp_web_page_sk, + sum(wr_return_amt) as returns, + sum(wr_net_loss) as profit_loss + from web_returns, + date_dim, + web_page + where wr_returned_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + and wr_web_page_sk = wp_web_page_sk + group by wp_web_page_sk) + select channel + , id + , sum(sales) as sales + , sum(returns) as returns + , sum(profit) as profit + from + (select 'store channel' as channel + , ss.s_store_sk as id + , sales + , coalesce(returns, 0) as returns + , (profit - coalesce(profit_loss,0)) as profit + from ss left join sr + on ss.s_store_sk = sr.s_store_sk + union all + select 'catalog channel' as channel + , cs_call_center_sk as id + , sales + , returns + , (profit - profit_loss) as profit + from cs + , cr + union all + select 'web channel' as channel + , ws.wp_web_page_sk as id + , sales + , coalesce(returns, 0) returns + , (profit - coalesce(profit_loss,0)) as profit + from ws left join wr + on ws.wp_web_page_sk = wr.wp_web_page_sk + ) x + group by rollup (channel, id) + order by channel + ,id + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +with ss as + (select s_store_sk, + sum(ss_ext_sales_price) as sales, + sum(ss_net_profit) as profit + from store_sales, + date_dim, + store + where ss_sold_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + and ss_store_sk = s_store_sk + group by s_store_sk) + , + sr as + (select s_store_sk, + sum(sr_return_amt) as returns, + sum(sr_net_loss) as profit_loss + from store_returns, + date_dim, + store + where sr_returned_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + and sr_store_sk = s_store_sk + group by s_store_sk), + cs as + (select cs_call_center_sk, + sum(cs_ext_sales_price) as sales, + sum(cs_net_profit) as profit + from catalog_sales, + date_dim + where cs_sold_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + group by cs_call_center_sk + ), + cr as + (select + sum(cr_return_amount) as returns, + sum(cr_net_loss) as profit_loss + from catalog_returns, + date_dim + where cr_returned_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + ), + ws as + ( select wp_web_page_sk, + sum(ws_ext_sales_price) as sales, + sum(ws_net_profit) as profit + from web_sales, + date_dim, + web_page + where ws_sold_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + and ws_web_page_sk = wp_web_page_sk + group by wp_web_page_sk), + wr as + (select wp_web_page_sk, + sum(wr_return_amt) as returns, + sum(wr_net_loss) as profit_loss + from web_returns, + date_dim, + web_page + where wr_returned_date_sk = d_date_sk + and d_date between cast('1998-08-04' as date) + and (cast('1998-08-04' as date) + 30 days) + and wr_web_page_sk = wp_web_page_sk + group by wp_web_page_sk) + select channel + , id + , sum(sales) as sales + , sum(returns) as returns + , sum(profit) as profit + from + (select 'store channel' as channel + , ss.s_store_sk as id + , sales + , coalesce(returns, 0) as returns + , (profit - coalesce(profit_loss,0)) as profit + from ss left join sr + on ss.s_store_sk = sr.s_store_sk + union all + select 'catalog channel' as channel + , cs_call_center_sk as id + , sales + , returns + , (profit - profit_loss) as profit + from cs + , cr + union all + select 'web channel' as channel + , ws.wp_web_page_sk as id + , sales + , coalesce(returns, 0) returns + , (profit - coalesce(profit_loss,0)) as profit + from ws left join wr + on ws.wp_web_page_sk = wr.wp_web_page_sk + ) x + group by rollup (channel, id) + order by channel + ,id + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Map 26 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) +Reducer 11 <- Map 25 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE) +Reducer 12 <- Reducer 11 (SIMPLE_EDGE) +Reducer 13 <- Map 27 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) +Reducer 14 <- Reducer 13 (SIMPLE_EDGE) +Reducer 15 <- Reducer 14 (CUSTOM_SIMPLE_EDGE), Reducer 17 (CUSTOM_SIMPLE_EDGE), Union 6 (CONTAINS) +Reducer 16 <- Map 28 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) +Reducer 17 <- Reducer 16 (CUSTOM_SIMPLE_EDGE) +Reducer 18 <- Map 29 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) +Reducer 19 <- Map 30 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) +Reducer 20 <- Reducer 19 (SIMPLE_EDGE) +Reducer 21 <- Reducer 20 (ONE_TO_ONE_EDGE), Reducer 24 (ONE_TO_ONE_EDGE), Union 6 (CONTAINS) +Reducer 22 <- Map 31 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) +Reducer 23 <- Map 30 (SIMPLE_EDGE), Reducer 22 (SIMPLE_EDGE) +Reducer 24 <- Reducer 23 (SIMPLE_EDGE) +Reducer 3 <- Map 25 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 12 (ONE_TO_ONE_EDGE), Reducer 4 (ONE_TO_ONE_EDGE), Union 6 (CONTAINS) +Reducer 7 <- Union 6 (SIMPLE_EDGE) +Reducer 8 <- Reducer 7 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 8 + File Output Operator [FS_130] + Limit [LIM_129] (rows=100 width=163) + Number of rows:100 + Select Operator [SEL_128] (rows=956329968 width=163) + Output:["_col0","_col1","_col2","_col3","_col4"] + <-Reducer 7 [SIMPLE_EDGE] + SHUFFLE [RS_127] + Select Operator [SEL_126] (rows=956329968 width=163) + Output:["_col0","_col1","_col2","_col3","_col4"] + Group By Operator [GBY_125] (rows=956329968 width=163) + Output:["_col0","_col1","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"],keys:KEY._col0, KEY._col1, KEY._col2 + <-Union 6 [SIMPLE_EDGE] + <-Reducer 15 [CONTAINS] + Reduce Output Operator [RS_124] + PartitionCols:_col0, _col1, _col2 + Group By Operator [GBY_123] (rows=1912659936 width=163) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)"],keys:_col0, _col1, 0 + Select Operator [SEL_75] (rows=158394413 width=360) + Output:["_col0","_col1","_col2","_col3","_col4"] + Merge Join Operator [MERGEJOIN_188] (rows=158394413 width=360) + Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4"] + <-Reducer 14 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_72] + Group By Operator [GBY_56] (rows=158394413 width=135) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0 + <-Reducer 13 [SIMPLE_EDGE] + SHUFFLE [RS_55] + PartitionCols:_col0 + Group By Operator [GBY_54] (rows=316788826 width=135) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col2)","sum(_col3)"],keys:_col1 + Merge Join Operator [MERGEJOIN_181] (rows=316788826 width=135) + Conds:RS_50._col0=RS_51._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 9 [SIMPLE_EDGE] + SHUFFLE [RS_51] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=8116 width=1119) + Output:["_col0"] + Filter Operator [FIL_162] (rows=8116 width=1119) + predicate:(CAST( d_date AS TIMESTAMP) BETWEEN 1998-08-04 00:00:00.0 AND 1998-09-03 00:00:00.0 and d_date_sk is not null) + TableScan [TS_3] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date"] + <-Map 27 [SIMPLE_EDGE] + SHUFFLE [RS_50] + PartitionCols:_col0 + Select Operator [SEL_46] (rows=287989836 width=135) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_167] (rows=287989836 width=135) + predicate:cs_sold_date_sk is not null + TableScan [TS_44] (rows=287989836 width=135) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_call_center_sk","cs_ext_sales_price","cs_net_profit"] + <-Reducer 17 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_73] + Group By Operator [GBY_70] (rows=1 width=224) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"] + <-Reducer 16 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_69] + Group By Operator [GBY_68] (rows=1 width=224) + Output:["_col0","_col1"],aggregations:["sum(_col1)","sum(_col2)"] + Merge Join Operator [MERGEJOIN_182] (rows=31678769 width=106) + Conds:RS_64._col0=RS_65._col0(Inner),Output:["_col1","_col2"] + <-Map 9 [SIMPLE_EDGE] + SHUFFLE [RS_65] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 28 [SIMPLE_EDGE] + SHUFFLE [RS_64] + PartitionCols:_col0 + Select Operator [SEL_60] (rows=28798881 width=106) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_169] (rows=28798881 width=106) + predicate:cr_returned_date_sk is not null + TableScan [TS_58] (rows=28798881 width=106) + default@catalog_returns,catalog_returns,Tbl:COMPLETE,Col:NONE,Output:["cr_returned_date_sk","cr_return_amount","cr_net_loss"] + <-Reducer 21 [CONTAINS] + Reduce Output Operator [RS_124] + PartitionCols:_col0, _col1, _col2 + Group By Operator [GBY_123] (rows=1912659936 width=163) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)"],keys:_col0, _col1, 0 + Select Operator [SEL_120] (rows=95833780 width=135) + Output:["_col0","_col1","_col2","_col3","_col4"] + Merge Join Operator [MERGEJOIN_189] (rows=95833780 width=135) + Conds:RS_117._col0=RS_118._col0(Left Outer),Output:["_col0","_col1","_col2","_col4","_col5"] + <-Reducer 20 [ONE_TO_ONE_EDGE] + FORWARD [RS_117] + PartitionCols:_col0 + Group By Operator [GBY_95] (rows=87121617 width=135) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0 + <-Reducer 19 [SIMPLE_EDGE] + SHUFFLE [RS_94] + PartitionCols:_col0 + Group By Operator [GBY_93] (rows=174243235 width=135) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col2)","sum(_col3)"],keys:_col6 + Merge Join Operator [MERGEJOIN_184] (rows=174243235 width=135) + Conds:RS_89._col1=RS_90._col0(Inner),Output:["_col2","_col3","_col6"] + <-Map 30 [SIMPLE_EDGE] + SHUFFLE [RS_90] + PartitionCols:_col0 + Select Operator [SEL_85] (rows=4602 width=585) + Output:["_col0"] + Filter Operator [FIL_173] (rows=4602 width=585) + predicate:wp_web_page_sk is not null + TableScan [TS_83] (rows=4602 width=585) + default@web_page,web_page,Tbl:COMPLETE,Col:NONE,Output:["wp_web_page_sk"] + <-Reducer 18 [SIMPLE_EDGE] + SHUFFLE [RS_89] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_183] (rows=158402938 width=135) + Conds:RS_86._col0=RS_87._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 9 [SIMPLE_EDGE] + SHUFFLE [RS_87] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 29 [SIMPLE_EDGE] + SHUFFLE [RS_86] + PartitionCols:_col0 + Select Operator [SEL_79] (rows=144002668 width=135) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_171] (rows=144002668 width=135) + predicate:(ws_sold_date_sk is not null and ws_web_page_sk is not null) + TableScan [TS_77] (rows=144002668 width=135) + default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_web_page_sk","ws_ext_sales_price","ws_net_profit"] + <-Reducer 24 [ONE_TO_ONE_EDGE] + FORWARD [RS_118] + PartitionCols:_col0 + Group By Operator [GBY_115] (rows=8711072 width=92) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0 + <-Reducer 23 [SIMPLE_EDGE] + SHUFFLE [RS_114] + PartitionCols:_col0 + Group By Operator [GBY_113] (rows=17422145 width=92) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col2)","sum(_col3)"],keys:_col6 + Merge Join Operator [MERGEJOIN_186] (rows=17422145 width=92) + Conds:RS_109._col1=RS_110._col0(Inner),Output:["_col2","_col3","_col6"] + <-Map 30 [SIMPLE_EDGE] + SHUFFLE [RS_110] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_85] + <-Reducer 22 [SIMPLE_EDGE] + SHUFFLE [RS_109] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_185] (rows=15838314 width=92) + Conds:RS_106._col0=RS_107._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 9 [SIMPLE_EDGE] + SHUFFLE [RS_107] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 31 [SIMPLE_EDGE] + SHUFFLE [RS_106] + PartitionCols:_col0 + Select Operator [SEL_99] (rows=14398467 width=92) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_174] (rows=14398467 width=92) + predicate:(wr_returned_date_sk is not null and wr_web_page_sk is not null) + TableScan [TS_97] (rows=14398467 width=92) + default@web_returns,web_returns,Tbl:COMPLETE,Col:NONE,Output:["wr_returned_date_sk","wr_web_page_sk","wr_return_amt","wr_net_loss"] + <-Reducer 5 [CONTAINS] + Reduce Output Operator [RS_124] + PartitionCols:_col0, _col1, _col2 + Group By Operator [GBY_123] (rows=1912659936 width=163) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)"],keys:_col0, _col1, 0 + Select Operator [SEL_43] (rows=383325119 width=88) + Output:["_col0","_col1","_col2","_col3","_col4"] + Merge Join Operator [MERGEJOIN_187] (rows=383325119 width=88) + Conds:RS_40._col0=RS_41._col0(Left Outer),Output:["_col0","_col1","_col2","_col4","_col5"] + <-Reducer 12 [ONE_TO_ONE_EDGE] + FORWARD [RS_41] + PartitionCols:_col0 + Group By Operator [GBY_38] (rows=34842647 width=77) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0 + <-Reducer 11 [SIMPLE_EDGE] + SHUFFLE [RS_37] + PartitionCols:_col0 + Group By Operator [GBY_36] (rows=69685294 width=77) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col2)","sum(_col3)"],keys:_col6 + Merge Join Operator [MERGEJOIN_180] (rows=69685294 width=77) + Conds:RS_32._col1=RS_33._col0(Inner),Output:["_col2","_col3","_col6"] + <-Map 25 [SIMPLE_EDGE] + SHUFFLE [RS_33] + PartitionCols:_col0 + Select Operator [SEL_8] (rows=1704 width=1910) + Output:["_col0"] + Filter Operator [FIL_163] (rows=1704 width=1910) + predicate:s_store_sk is not null + TableScan [TS_6] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk"] + <-Reducer 10 [SIMPLE_EDGE] + SHUFFLE [RS_32] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_179] (rows=63350266 width=77) + Conds:RS_29._col0=RS_30._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 9 [SIMPLE_EDGE] + SHUFFLE [RS_30] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 26 [SIMPLE_EDGE] + SHUFFLE [RS_29] + PartitionCols:_col0 + Select Operator [SEL_22] (rows=57591150 width=77) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_164] (rows=57591150 width=77) + predicate:(sr_returned_date_sk is not null and sr_store_sk is not null) + TableScan [TS_20] (rows=57591150 width=77) + default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_store_sk","sr_return_amt","sr_net_loss"] + <-Reducer 4 [ONE_TO_ONE_EDGE] + FORWARD [RS_40] + PartitionCols:_col0 + Group By Operator [GBY_18] (rows=348477374 width=88) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0 + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_17] + PartitionCols:_col0 + Group By Operator [GBY_16] (rows=696954748 width=88) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col2)","sum(_col3)"],keys:_col6 + Merge Join Operator [MERGEJOIN_178] (rows=696954748 width=88) + Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col2","_col3","_col6"] + <-Map 25 [SIMPLE_EDGE] + SHUFFLE [RS_13] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_8] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_12] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_177] (rows=633595212 width=88) + Conds:RS_9._col0=RS_10._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 9 [SIMPLE_EDGE] + SHUFFLE [RS_10] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_9] + PartitionCols:_col0 + Select Operator [SEL_2] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_161] (rows=575995635 width=88) + predicate:(ss_sold_date_sk is not null and ss_store_sk is not null) + TableScan [TS_0] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_store_sk","ss_ext_sales_price","ss_net_profit"] +
