http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/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 deleted file mode 100644 index 08e1620..0000000 --- a/ql/src/test/results/clientpositive/perf/query75.q.out +++ /dev/null @@ -1,481 +0,0 @@ -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/query76.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query76.q.out b/ql/src/test/results/clientpositive/perf/query76.q.out deleted file mode 100644 index f2492c2..0000000 --- a/ql/src/test/results/clientpositive/perf/query76.q.out +++ /dev/null @@ -1,187 +0,0 @@ -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/query77.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query77.q.out b/ql/src/test/results/clientpositive/perf/query77.q.out deleted file mode 100644 index d10e226..0000000 --- a/ql/src/test/results/clientpositive/perf/query77.q.out +++ /dev/null @@ -1,481 +0,0 @@ -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"] -
