http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query27.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query27.q.out b/ql/src/test/results/clientpositive/perf/query27.q.out deleted file mode 100644 index c6a1905..0000000 --- a/ql/src/test/results/clientpositive/perf/query27.q.out +++ /dev/null @@ -1,140 +0,0 @@ -PREHOOK: query: explain -select i_item_id, - s_state, grouping(s_state) g_state, - avg(ss_quantity) agg1, - avg(ss_list_price) agg2, - avg(ss_coupon_amt) agg3, - avg(ss_sales_price) agg4 - from store_sales, customer_demographics, date_dim, store, item - where ss_sold_date_sk = d_date_sk and - ss_item_sk = i_item_sk and - ss_store_sk = s_store_sk and - ss_cdemo_sk = cd_demo_sk and - cd_gender = 'M' and - cd_marital_status = 'U' and - cd_education_status = '2 yr Degree' and - d_year = 2001 and - s_state in ('SD','FL', 'MI', 'LA', 'MO', 'SC') - group by rollup (i_item_id, s_state) - order by i_item_id - ,s_state - limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select i_item_id, - s_state, grouping(s_state) g_state, - avg(ss_quantity) agg1, - avg(ss_list_price) agg2, - avg(ss_coupon_amt) agg3, - avg(ss_sales_price) agg4 - from store_sales, customer_demographics, date_dim, store, item - where ss_sold_date_sk = d_date_sk and - ss_item_sk = i_item_sk and - ss_store_sk = s_store_sk and - ss_cdemo_sk = cd_demo_sk and - cd_gender = 'M' and - cd_marital_status = 'U' and - cd_education_status = '2 yr Degree' and - d_year = 2001 and - s_state in ('SD','FL', 'MI', 'LA', 'MO', 'SC') - group by rollup (i_item_id, s_state) - order by i_item_id - ,s_state - limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Map 10 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Map 11 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 7 - File Output Operator [FS_36] - Limit [LIM_35] (rows=100 width=88) - Number of rows:100 - Select Operator [SEL_34] (rows=1264972921 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - <-Reducer 6 [SIMPLE_EDGE] - SHUFFLE [RS_33] - Select Operator [SEL_32] (rows=1264972921 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - Group By Operator [GBY_31] (rows=1264972921 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["avg(VALUE._col0)","avg(VALUE._col1)","avg(VALUE._col2)","avg(VALUE._col3)"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_30] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_29] (rows=2529945843 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["avg(_col2)","avg(_col3)","avg(_col4)","avg(_col5)"],keys:_col0, _col1, 0 - Select Operator [SEL_27] (rows=843315281 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Merge Join Operator [MERGEJOIN_59] (rows=843315281 width=88) - Conds:RS_24._col1=RS_25._col0(Inner),Output:["_col4","_col5","_col6","_col7","_col15","_col17"] - <-Map 11 [SIMPLE_EDGE] - SHUFFLE [RS_25] - PartitionCols:_col0 - Select Operator [SEL_14] (rows=462000 width=1436) - Output:["_col0","_col1"] - Filter Operator [FIL_55] (rows=462000 width=1436) - predicate:i_item_sk is not null - TableScan [TS_12] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_24] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_58] (rows=766650239 width=88) - Conds:RS_21._col3=RS_22._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col15"] - <-Map 10 [SIMPLE_EDGE] - SHUFFLE [RS_22] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=852 width=1910) - Output:["_col0","_col1"] - Filter Operator [FIL_54] (rows=852 width=1910) - predicate:((s_state) IN ('SD', 'FL', 'MI', 'LA', 'MO', 'SC') and s_store_sk is not null) - TableScan [TS_9] (rows=1704 width=1910) - default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_state"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_21] - PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_57] (rows=696954748 width=88) - Conds:RS_18._col0=RS_19._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_53] (rows=36524 width=1119) - predicate:((d_year = 2001) and d_date_sk is not null) - TableScan [TS_6] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_56] (rows=633595212 width=88) - Conds:RS_15._col2=RS_16._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col5","_col6","_col7"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_15] - PartitionCols:_col2 - Select Operator [SEL_2] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - Filter Operator [FIL_51] (rows=575995635 width=88) - predicate:(ss_cdemo_sk is not null and ss_item_sk is not null and 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_item_sk","ss_cdemo_sk","ss_store_sk","ss_quantity","ss_list_price","ss_sales_price","ss_coupon_amt"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=232725 width=385) - Output:["_col0"] - Filter Operator [FIL_52] (rows=232725 width=385) - predicate:((cd_education_status = '2 yr Degree') and (cd_gender = 'M') and (cd_marital_status = 'U') and cd_demo_sk is not null) - TableScan [TS_3] (rows=1861800 width=385) - default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_gender","cd_marital_status","cd_education_status"] -
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query28.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query28.q.out b/ql/src/test/results/clientpositive/perf/query28.q.out deleted file mode 100644 index 33dc1ae..0000000 --- a/ql/src/test/results/clientpositive/perf/query28.q.out +++ /dev/null @@ -1,256 +0,0 @@ -Warning: Shuffle Join MERGEJOIN[94][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5]] in Stage 'Reducer 4' is a cross product -PREHOOK: query: explain -select * -from (select avg(ss_list_price) B1_LP - ,count(ss_list_price) B1_CNT - ,count(distinct ss_list_price) B1_CNTD - from store_sales - where ss_quantity between 0 and 5 - and (ss_list_price between 11 and 11+10 - or ss_coupon_amt between 460 and 460+1000 - or ss_wholesale_cost between 14 and 14+20)) B1, - (select avg(ss_list_price) B2_LP - ,count(ss_list_price) B2_CNT - ,count(distinct ss_list_price) B2_CNTD - from store_sales - where ss_quantity between 6 and 10 - and (ss_list_price between 91 and 91+10 - or ss_coupon_amt between 1430 and 1430+1000 - or ss_wholesale_cost between 32 and 32+20)) B2, - (select avg(ss_list_price) B3_LP - ,count(ss_list_price) B3_CNT - ,count(distinct ss_list_price) B3_CNTD - from store_sales - where ss_quantity between 11 and 15 - and (ss_list_price between 66 and 66+10 - or ss_coupon_amt between 920 and 920+1000 - or ss_wholesale_cost between 4 and 4+20)) B3, - (select avg(ss_list_price) B4_LP - ,count(ss_list_price) B4_CNT - ,count(distinct ss_list_price) B4_CNTD - from store_sales - where ss_quantity between 16 and 20 - and (ss_list_price between 142 and 142+10 - or ss_coupon_amt between 3054 and 3054+1000 - or ss_wholesale_cost between 80 and 80+20)) B4, - (select avg(ss_list_price) B5_LP - ,count(ss_list_price) B5_CNT - ,count(distinct ss_list_price) B5_CNTD - from store_sales - where ss_quantity between 21 and 25 - and (ss_list_price between 135 and 135+10 - or ss_coupon_amt between 14180 and 14180+1000 - or ss_wholesale_cost between 38 and 38+20)) B5, - (select avg(ss_list_price) B6_LP - ,count(ss_list_price) B6_CNT - ,count(distinct ss_list_price) B6_CNTD - from store_sales - where ss_quantity between 26 and 30 - and (ss_list_price between 28 and 28+10 - or ss_coupon_amt between 2513 and 2513+1000 - or ss_wholesale_cost between 42 and 42+20)) B6 -limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select * -from (select avg(ss_list_price) B1_LP - ,count(ss_list_price) B1_CNT - ,count(distinct ss_list_price) B1_CNTD - from store_sales - where ss_quantity between 0 and 5 - and (ss_list_price between 11 and 11+10 - or ss_coupon_amt between 460 and 460+1000 - or ss_wholesale_cost between 14 and 14+20)) B1, - (select avg(ss_list_price) B2_LP - ,count(ss_list_price) B2_CNT - ,count(distinct ss_list_price) B2_CNTD - from store_sales - where ss_quantity between 6 and 10 - and (ss_list_price between 91 and 91+10 - or ss_coupon_amt between 1430 and 1430+1000 - or ss_wholesale_cost between 32 and 32+20)) B2, - (select avg(ss_list_price) B3_LP - ,count(ss_list_price) B3_CNT - ,count(distinct ss_list_price) B3_CNTD - from store_sales - where ss_quantity between 11 and 15 - and (ss_list_price between 66 and 66+10 - or ss_coupon_amt between 920 and 920+1000 - or ss_wholesale_cost between 4 and 4+20)) B3, - (select avg(ss_list_price) B4_LP - ,count(ss_list_price) B4_CNT - ,count(distinct ss_list_price) B4_CNTD - from store_sales - where ss_quantity between 16 and 20 - and (ss_list_price between 142 and 142+10 - or ss_coupon_amt between 3054 and 3054+1000 - or ss_wholesale_cost between 80 and 80+20)) B4, - (select avg(ss_list_price) B5_LP - ,count(ss_list_price) B5_CNT - ,count(distinct ss_list_price) B5_CNTD - from store_sales - where ss_quantity between 21 and 25 - and (ss_list_price between 135 and 135+10 - or ss_coupon_amt between 14180 and 14180+1000 - or ss_wholesale_cost between 38 and 38+20)) B5, - (select avg(ss_list_price) B6_LP - ,count(ss_list_price) B6_CNT - ,count(distinct ss_list_price) B6_CNTD - from store_sales - where ss_quantity between 26 and 30 - and (ss_list_price between 28 and 28+10 - or ss_coupon_amt between 2513 and 2513+1000 - or ss_wholesale_cost between 42 and 42+20)) B6 -limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 10 <- Reducer 9 (CUSTOM_SIMPLE_EDGE) -Reducer 11 <- Map 1 (SIMPLE_EDGE) -Reducer 12 <- Reducer 11 (CUSTOM_SIMPLE_EDGE) -Reducer 13 <- Map 1 (SIMPLE_EDGE) -Reducer 14 <- Reducer 13 (CUSTOM_SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE) -Reducer 3 <- Reducer 2 (CUSTOM_SIMPLE_EDGE) -Reducer 4 <- Reducer 10 (CUSTOM_SIMPLE_EDGE), Reducer 12 (CUSTOM_SIMPLE_EDGE), Reducer 14 (CUSTOM_SIMPLE_EDGE), Reducer 3 (CUSTOM_SIMPLE_EDGE), Reducer 6 (CUSTOM_SIMPLE_EDGE), Reducer 8 (CUSTOM_SIMPLE_EDGE) -Reducer 5 <- Map 1 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (CUSTOM_SIMPLE_EDGE) -Reducer 7 <- Map 1 (SIMPLE_EDGE) -Reducer 8 <- Reducer 7 (CUSTOM_SIMPLE_EDGE) -Reducer 9 <- Map 1 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 4 - File Output Operator [FS_51] - Limit [LIM_50] (rows=1 width=3505) - Number of rows:100 - Select Operator [SEL_49] (rows=1 width=3505) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17"] - Merge Join Operator [MERGEJOIN_94] (rows=1 width=3505) - Conds:(Inner),(Inner),(Inner),(Inner),(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17"] - <-Reducer 10 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_45] - Group By Operator [GBY_81] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"] - <-Reducer 9 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_80] - Group By Operator [GBY_79] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(_col1)","count(_col2)","count(_col0)"] - Group By Operator [GBY_78] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0 - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_77] - PartitionCols:_col0 - Group By Operator [GBY_76] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(ss_list_price)","count(ss_list_price)"],keys:ss_list_price - Select Operator [SEL_23] (rows=21333171 width=88) - Output:["ss_list_price"] - Filter Operator [FIL_55] (rows=21333171 width=88) - predicate:((ss_list_price BETWEEN 142 AND 152 or ss_coupon_amt BETWEEN 3054 AND 4054 or ss_wholesale_cost BETWEEN 80 AND 100) and ss_quantity BETWEEN 16 AND 20) - TableScan [TS_0] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_quantity","ss_wholesale_cost","ss_list_price","ss_coupon_amt"] - <-Reducer 12 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_46] - Group By Operator [GBY_87] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"] - <-Reducer 11 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_86] - Group By Operator [GBY_85] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(_col1)","count(_col2)","count(_col0)"] - Group By Operator [GBY_84] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0 - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_83] - PartitionCols:_col0 - Group By Operator [GBY_82] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(ss_list_price)","count(ss_list_price)"],keys:ss_list_price - Select Operator [SEL_30] (rows=21333171 width=88) - Output:["ss_list_price"] - Filter Operator [FIL_56] (rows=21333171 width=88) - predicate:((ss_list_price BETWEEN 66 AND 76 or ss_coupon_amt BETWEEN 920 AND 1920 or ss_wholesale_cost BETWEEN 4 AND 24) and ss_quantity BETWEEN 11 AND 15) - Please refer to the previous TableScan [TS_0] - <-Reducer 14 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_47] - Group By Operator [GBY_93] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"] - <-Reducer 13 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_92] - Group By Operator [GBY_91] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(_col1)","count(_col2)","count(_col0)"] - Group By Operator [GBY_90] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0 - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_89] - PartitionCols:_col0 - Group By Operator [GBY_88] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(ss_list_price)","count(ss_list_price)"],keys:ss_list_price - Select Operator [SEL_37] (rows=21333171 width=88) - Output:["ss_list_price"] - Filter Operator [FIL_57] (rows=21333171 width=88) - predicate:((ss_list_price BETWEEN 91 AND 101 or ss_coupon_amt BETWEEN 1430 AND 2430 or ss_wholesale_cost BETWEEN 32 AND 52) and ss_quantity BETWEEN 6 AND 10) - Please refer to the previous TableScan [TS_0] - <-Reducer 3 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_42] - Group By Operator [GBY_63] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"] - <-Reducer 2 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_62] - Group By Operator [GBY_61] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(_col1)","count(_col2)","count(_col0)"] - Group By Operator [GBY_60] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0 - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_59] - PartitionCols:_col0 - Group By Operator [GBY_58] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(ss_list_price)","count(ss_list_price)"],keys:ss_list_price - Select Operator [SEL_2] (rows=21333171 width=88) - Output:["ss_list_price"] - Filter Operator [FIL_52] (rows=21333171 width=88) - predicate:((ss_list_price BETWEEN 11 AND 21 or ss_coupon_amt BETWEEN 460 AND 1460 or ss_wholesale_cost BETWEEN 14 AND 34) and ss_quantity BETWEEN 0 AND 5) - Please refer to the previous TableScan [TS_0] - <-Reducer 6 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_43] - Group By Operator [GBY_69] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"] - <-Reducer 5 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_68] - Group By Operator [GBY_67] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(_col1)","count(_col2)","count(_col0)"] - Group By Operator [GBY_66] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0 - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_65] - PartitionCols:_col0 - Group By Operator [GBY_64] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(ss_list_price)","count(ss_list_price)"],keys:ss_list_price - Select Operator [SEL_9] (rows=21333171 width=88) - Output:["ss_list_price"] - Filter Operator [FIL_53] (rows=21333171 width=88) - predicate:((ss_list_price BETWEEN 28 AND 38 or ss_coupon_amt BETWEEN 2513 AND 3513 or ss_wholesale_cost BETWEEN 42 AND 62) and ss_quantity BETWEEN 26 AND 30) - Please refer to the previous TableScan [TS_0] - <-Reducer 8 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_44] - Group By Operator [GBY_75] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"] - <-Reducer 7 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_74] - Group By Operator [GBY_73] (rows=1 width=584) - Output:["_col0","_col1","_col2"],aggregations:["avg(_col1)","count(_col2)","count(_col0)"] - Group By Operator [GBY_72] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0 - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_71] - PartitionCols:_col0 - Group By Operator [GBY_70] (rows=21333171 width=88) - Output:["_col0","_col1","_col2"],aggregations:["avg(ss_list_price)","count(ss_list_price)"],keys:ss_list_price - Select Operator [SEL_16] (rows=21333171 width=88) - Output:["ss_list_price"] - Filter Operator [FIL_54] (rows=21333171 width=88) - predicate:((ss_list_price BETWEEN 135 AND 145 or ss_coupon_amt BETWEEN 14180 AND 15180 or ss_wholesale_cost BETWEEN 38 AND 58) and ss_quantity BETWEEN 21 AND 25) - Please refer to the previous TableScan [TS_0] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query29.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query29.q.out b/ql/src/test/results/clientpositive/perf/query29.q.out deleted file mode 100644 index 81abe01..0000000 --- a/ql/src/test/results/clientpositive/perf/query29.q.out +++ /dev/null @@ -1,230 +0,0 @@ -PREHOOK: query: explain -select - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - ,sum(ss_quantity) as store_sales_quantity - ,sum(sr_return_quantity) as store_returns_quantity - ,sum(cs_quantity) as catalog_sales_quantity - from - store_sales - ,store_returns - ,catalog_sales - ,date_dim d1 - ,date_dim d2 - ,date_dim d3 - ,store - ,item - where - d1.d_moy = 4 - and d1.d_year = 1999 - and d1.d_date_sk = ss_sold_date_sk - and i_item_sk = ss_item_sk - and s_store_sk = ss_store_sk - and ss_customer_sk = sr_customer_sk - and ss_item_sk = sr_item_sk - and ss_ticket_number = sr_ticket_number - and sr_returned_date_sk = d2.d_date_sk - and d2.d_moy between 4 and 4 + 3 - and d2.d_year = 1999 - and sr_customer_sk = cs_bill_customer_sk - and sr_item_sk = cs_item_sk - and cs_sold_date_sk = d3.d_date_sk - and d3.d_year in (1999,1999+1,1999+2) - group by - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - order by - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - ,sum(ss_quantity) as store_sales_quantity - ,sum(sr_return_quantity) as store_returns_quantity - ,sum(cs_quantity) as catalog_sales_quantity - from - store_sales - ,store_returns - ,catalog_sales - ,date_dim d1 - ,date_dim d2 - ,date_dim d3 - ,store - ,item - where - d1.d_moy = 4 - and d1.d_year = 1999 - and d1.d_date_sk = ss_sold_date_sk - and i_item_sk = ss_item_sk - and s_store_sk = ss_store_sk - and ss_customer_sk = sr_customer_sk - and ss_item_sk = sr_item_sk - and ss_ticket_number = sr_ticket_number - and sr_returned_date_sk = d2.d_date_sk - and d2.d_moy between 4 and 4 + 3 - and d2.d_year = 1999 - and sr_customer_sk = cs_bill_customer_sk - and sr_item_sk = cs_item_sk - and cs_sold_date_sk = d3.d_date_sk - and d3.d_year in (1999,1999+1,1999+2) - group by - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - order by - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 10 <- Map 15 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) -Reducer 11 <- Map 16 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE) -Reducer 13 <- Map 12 (SIMPLE_EDGE), Map 14 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE) -Reducer 3 <- Reducer 11 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (SIMPLE_EDGE) -Reducer 8 <- Map 12 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) -Reducer 9 <- Reducer 13 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 5 - File Output Operator [FS_55] - Limit [LIM_54] (rows=100 width=88) - Number of rows:100 - Select Operator [SEL_53] (rows=463823414 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_52] - Group By Operator [GBY_50] (rows=463823414 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3 - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_49] - PartitionCols:_col0, _col1, _col2, _col3 - Group By Operator [GBY_48] (rows=927646829 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col14)","sum(_col22)","sum(_col3)"],keys:_col7, _col8, _col27, _col28 - Merge Join Operator [MERGEJOIN_99] (rows=927646829 width=88) - Conds:RS_44._col1, _col2=RS_45._col14, _col13(Inner),Output:["_col3","_col7","_col8","_col14","_col22","_col27","_col28"] - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_45] - PartitionCols:_col14, _col13 - Select Operator [SEL_40] (rows=843315281 width=88) - Output:["_col1","_col2","_col8","_col13","_col14","_col16","_col21","_col22"] - Merge Join Operator [MERGEJOIN_98] (rows=843315281 width=88) - Conds:RS_37._col3=RS_38._col0(Inner),Output:["_col5","_col10","_col11","_col13","_col18","_col19","_col21","_col22"] - <-Map 16 [SIMPLE_EDGE] - SHUFFLE [RS_38] - PartitionCols:_col0 - Select Operator [SEL_27] (rows=1704 width=1910) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_92] (rows=1704 width=1910) - predicate:s_store_sk is not null - TableScan [TS_25] (rows=1704 width=1910) - default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name"] - <-Reducer 10 [SIMPLE_EDGE] - SHUFFLE [RS_37] - PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_97] (rows=766650239 width=88) - Conds:RS_34._col1=RS_35._col0(Inner),Output:["_col3","_col5","_col10","_col11","_col13","_col18","_col19"] - <-Map 15 [SIMPLE_EDGE] - SHUFFLE [RS_35] - PartitionCols:_col0 - Select Operator [SEL_24] (rows=462000 width=1436) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_91] (rows=462000 width=1436) - predicate:i_item_sk is not null - TableScan [TS_22] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"] - <-Reducer 9 [SIMPLE_EDGE] - SHUFFLE [RS_34] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_96] (rows=696954748 width=88) - Conds:RS_31._col1, _col2, _col4=RS_32._col1, _col2, _col3(Inner),Output:["_col1","_col3","_col5","_col10","_col11","_col13"] - <-Reducer 13 [SIMPLE_EDGE] - SHUFFLE [RS_32] - PartitionCols:_col1, _col2, _col3 - Merge Join Operator [MERGEJOIN_95] (rows=63350266 width=77) - Conds:RS_18._col0=RS_19._col0(Inner),Output:["_col1","_col2","_col3","_col4"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Select Operator [SEL_17] (rows=4058 width=1119) - Output:["_col0"] - Filter Operator [FIL_90] (rows=4058 width=1119) - predicate:((d_year = 1999) and d_date_sk is not null and d_moy BETWEEN 4 AND 7) - TableScan [TS_9] (rows=73049 width=1119) - default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] - <-Map 14 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col0 - Select Operator [SEL_14] (rows=57591150 width=77) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_89] (rows=57591150 width=77) - predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null) - TableScan [TS_12] (rows=57591150 width=77) - default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_return_quantity"] - <-Reducer 8 [SIMPLE_EDGE] - SHUFFLE [RS_31] - PartitionCols:_col1, _col2, _col4 - Merge Join Operator [MERGEJOIN_94] (rows=633595212 width=88) - Conds:RS_28._col0=RS_29._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_29] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_88] (rows=18262 width=1119) - predicate:((d_moy = 4) and (d_year = 1999) and d_date_sk is not null) - Please refer to the previous TableScan [TS_9] - <-Map 7 [SIMPLE_EDGE] - SHUFFLE [RS_28] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_87] (rows=575995635 width=88) - predicate:(ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) - TableScan [TS_6] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_quantity"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_44] - PartitionCols:_col1, _col2 - Merge Join Operator [MERGEJOIN_93] (rows=316788826 width=135) - Conds:RS_41._col0=RS_42._col0(Inner),Output:["_col1","_col2","_col3"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_41] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=287989836 width=135) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_85] (rows=287989836 width=135) - predicate:(cs_bill_customer_sk is not null and 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_bill_customer_sk","cs_item_sk","cs_quantity"] - <-Map 6 [SIMPLE_EDGE] - SHUFFLE [RS_42] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=36525 width=1119) - Output:["_col0"] - Filter Operator [FIL_86] (rows=36525 width=1119) - predicate:((d_year) IN (1999, 2000, 2001) and d_date_sk is not null) - TableScan [TS_3] (rows=73049 width=1119) - default@date_dim,d3,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query3.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query3.q.out b/ql/src/test/results/clientpositive/perf/query3.q.out deleted file mode 100644 index 462f05d..0000000 --- a/ql/src/test/results/clientpositive/perf/query3.q.out +++ /dev/null @@ -1,102 +0,0 @@ -PREHOOK: query: explain -select dt.d_year - ,item.i_brand_id brand_id - ,item.i_brand brand - ,sum(ss_ext_sales_price) sum_agg - from date_dim dt - ,store_sales - ,item - where dt.d_date_sk = store_sales.ss_sold_date_sk - and store_sales.ss_item_sk = item.i_item_sk - and item.i_manufact_id = 436 - and dt.d_moy=12 - group by dt.d_year - ,item.i_brand - ,item.i_brand_id - order by dt.d_year - ,sum_agg desc - ,brand_id - limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select dt.d_year - ,item.i_brand_id brand_id - ,item.i_brand brand - ,sum(ss_ext_sales_price) sum_agg - from date_dim dt - ,store_sales - ,item - where dt.d_date_sk = store_sales.ss_sold_date_sk - and store_sales.ss_item_sk = item.i_item_sk - and item.i_manufact_id = 436 - and dt.d_moy=12 - group by dt.d_year - ,item.i_brand - ,item.i_brand_id - order by dt.d_year - ,sum_agg desc - ,brand_id - limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE) -Reducer 3 <- Map 7 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 5 - File Output Operator [FS_24] - Limit [LIM_23] (rows=100 width=88) - Number of rows:100 - Select Operator [SEL_22] (rows=348477374 width=88) - Output:["_col0","_col1","_col2","_col3"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_21] - Group By Operator [GBY_18] (rows=348477374 width=88) - Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_17] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_16] (rows=696954748 width=88) - Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col2)"],keys:_col8, _col4, _col5 - Merge Join Operator [MERGEJOIN_34] (rows=696954748 width=88) - Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col2","_col4","_col5","_col8"] - <-Map 7 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=36524 width=1119) - Output:["_col0","_col1"] - Filter Operator [FIL_32] (rows=36524 width=1119) - predicate:((d_moy = 12) and d_date_sk is not null) - TableScan [TS_6] (rows=73049 width=1119) - default@date_dim,dt,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_33] (rows=633595212 width=88) - Conds:RS_9._col1=RS_10._col0(Inner),Output:["_col0","_col2","_col4","_col5"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_9] - PartitionCols:_col1 - Select Operator [SEL_2] (rows=575995635 width=88) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_30] (rows=575995635 width=88) - predicate:(ss_item_sk is not null and ss_sold_date_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_item_sk","ss_ext_sales_price"] - <-Map 6 [SIMPLE_EDGE] - SHUFFLE [RS_10] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=231000 width=1436) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_31] (rows=231000 width=1436) - predicate:((i_manufact_id = 436) and i_item_sk is not null) - TableScan [TS_3] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_brand","i_manufact_id"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query30.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query30.q.out b/ql/src/test/results/clientpositive/perf/query30.q.out deleted file mode 100644 index 93ce9cd..0000000 --- a/ql/src/test/results/clientpositive/perf/query30.q.out +++ /dev/null @@ -1,211 +0,0 @@ -PREHOOK: query: explain -with customer_total_return as - (select wr_returning_customer_sk as ctr_customer_sk - ,ca_state as ctr_state, - sum(wr_return_amt) as ctr_total_return - from web_returns - ,date_dim - ,customer_address - where wr_returned_date_sk = d_date_sk - and d_year =2002 - and wr_returning_addr_sk = ca_address_sk - group by wr_returning_customer_sk - ,ca_state) - select c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag - ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address - ,c_last_review_date,ctr_total_return - from customer_total_return ctr1 - ,customer_address - ,customer - where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 - from customer_total_return ctr2 - where ctr1.ctr_state = ctr2.ctr_state) - and ca_address_sk = c_current_addr_sk - and ca_state = 'IL' - and ctr1.ctr_customer_sk = c_customer_sk - order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag - ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address - ,c_last_review_date,ctr_total_return -limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -with customer_total_return as - (select wr_returning_customer_sk as ctr_customer_sk - ,ca_state as ctr_state, - sum(wr_return_amt) as ctr_total_return - from web_returns - ,date_dim - ,customer_address - where wr_returned_date_sk = d_date_sk - and d_year =2002 - and wr_returning_addr_sk = ca_address_sk - group by wr_returning_customer_sk - ,ca_state) - select c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag - ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address - ,c_last_review_date,ctr_total_return - from customer_total_return ctr1 - ,customer_address - ,customer - where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 - from customer_total_return ctr2 - where ctr1.ctr_state = ctr2.ctr_state) - and ca_address_sk = c_current_addr_sk - and ca_state = 'IL' - and ctr1.ctr_customer_sk = c_customer_sk - order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag - ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address - ,c_last_review_date,ctr_total_return -limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 10 <- Reducer 9 (SIMPLE_EDGE) -Reducer 12 <- Map 11 (SIMPLE_EDGE), Map 14 (SIMPLE_EDGE) -Reducer 13 <- Map 11 (SIMPLE_EDGE), Map 14 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE) -Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE) -Reducer 6 <- Map 5 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (SIMPLE_EDGE) -Reducer 8 <- Reducer 10 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) -Reducer 9 <- Map 5 (SIMPLE_EDGE), Reducer 13 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 4 - File Output Operator [FS_66] - Limit [LIM_65] (rows=100 width=860) - Number of rows:100 - Select Operator [SEL_64] (rows=96800003 width=860) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_63] - Select Operator [SEL_62] (rows=96800003 width=860) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12"] - Merge Join Operator [MERGEJOIN_107] (rows=96800003 width=860) - Conds:RS_59._col0=RS_60._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col18"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_59] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_101] (rows=88000001 width=860) - Conds:RS_56._col2=RS_57._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13"] - <-Map 5 [SIMPLE_EDGE] - SHUFFLE [RS_57] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=20000000 width=1014) - Output:["_col0"] - Filter Operator [FIL_94] (rows=20000000 width=1014) - predicate:((ca_state = 'IL') and ca_address_sk is not null) - TableScan [TS_3] (rows=40000000 width=1014) - default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_56] - PartitionCols:_col2 - Select Operator [SEL_2] (rows=80000000 width=860) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13"] - Filter Operator [FIL_93] (rows=80000000 width=860) - predicate:(c_current_addr_sk is not null and c_customer_sk is not null) - TableScan [TS_0] (rows=80000000 width=860) - default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_customer_id","c_current_addr_sk","c_salutation","c_first_name","c_last_name","c_preferred_cust_flag","c_birth_day","c_birth_month","c_birth_year","c_birth_country","c_login","c_email_address","c_last_review_date"] - <-Reducer 8 [SIMPLE_EDGE] - SHUFFLE [RS_60] - PartitionCols:_col0 - Select Operator [SEL_55] (rows=8066666 width=1014) - Output:["_col0","_col2"] - Filter Operator [FIL_54] (rows=8066666 width=1014) - predicate:(_col2 > CASE WHEN (_col4 is null) THEN (null) ELSE (_col3) END) - Merge Join Operator [MERGEJOIN_106] (rows=24200000 width=1014) - Conds:RS_51._col1=RS_52._col2(Inner),Output:["_col0","_col2","_col3","_col4"] - <-Reducer 10 [SIMPLE_EDGE] - SHUFFLE [RS_52] - PartitionCols:_col2 - Select Operator [SEL_50] (rows=11000000 width=1014) - Output:["_col0","_col1","_col2"] - Group By Operator [GBY_49] (rows=11000000 width=1014) - Output:["_col0","_col1"],aggregations:["avg(_col2)"],keys:_col0 - Select Operator [SEL_45] (rows=22000000 width=1014) - Output:["_col0","_col2"] - Group By Operator [GBY_44] (rows=22000000 width=1014) - Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1 - <-Reducer 9 [SIMPLE_EDGE] - SHUFFLE [RS_43] - PartitionCols:_col0 - Group By Operator [GBY_42] (rows=44000000 width=1014) - Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col7, _col1 - Merge Join Operator [MERGEJOIN_105] (rows=44000000 width=1014) - Conds:RS_38._col2=RS_39._col0(Inner),Output:["_col1","_col3","_col7"] - <-Map 5 [SIMPLE_EDGE] - SHUFFLE [RS_39] - PartitionCols:_col0 - Select Operator [SEL_34] (rows=40000000 width=1014) - Output:["_col0","_col1"] - Filter Operator [FIL_100] (rows=40000000 width=1014) - predicate:(ca_address_sk is not null and ca_state is not null) - Please refer to the previous TableScan [TS_3] - <-Reducer 13 [SIMPLE_EDGE] - SHUFFLE [RS_38] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_104] (rows=15838314 width=92) - Conds:RS_35._col0=RS_36._col0(Inner),Output:["_col1","_col2","_col3"] - <-Map 11 [SIMPLE_EDGE] - SHUFFLE [RS_35] - PartitionCols:_col0 - Select Operator [SEL_28] (rows=14398467 width=92) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_98] (rows=14398467 width=92) - predicate:(wr_returned_date_sk is not null and wr_returning_addr_sk is not null) - TableScan [TS_6] (rows=14398467 width=92) - default@web_returns,web_returns,Tbl:COMPLETE,Col:NONE,Output:["wr_returned_date_sk","wr_returning_customer_sk","wr_returning_addr_sk","wr_return_amt"] - <-Map 14 [SIMPLE_EDGE] - SHUFFLE [RS_36] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_96] (rows=36524 width=1119) - predicate:((d_year = 2002) and d_date_sk is not null) - TableScan [TS_9] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Reducer 7 [SIMPLE_EDGE] - SHUFFLE [RS_51] - PartitionCols:_col1 - Select Operator [SEL_25] (rows=22000000 width=1014) - Output:["_col0","_col1","_col2"] - Group By Operator [GBY_24] (rows=22000000 width=1014) - Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1 - <-Reducer 6 [SIMPLE_EDGE] - SHUFFLE [RS_23] - PartitionCols:_col0, _col1 - Group By Operator [GBY_22] (rows=44000000 width=1014) - Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col7, _col1 - Merge Join Operator [MERGEJOIN_103] (rows=44000000 width=1014) - Conds:RS_18._col2=RS_19._col0(Inner),Output:["_col1","_col3","_col7"] - <-Map 5 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Select Operator [SEL_14] (rows=40000000 width=1014) - Output:["_col0","_col1"] - Filter Operator [FIL_97] (rows=40000000 width=1014) - predicate:ca_address_sk is not null - Please refer to the previous TableScan [TS_3] - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_102] (rows=15838314 width=92) - Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1","_col2","_col3"] - <-Map 11 [SIMPLE_EDGE] - SHUFFLE [RS_15] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=14398467 width=92) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_95] (rows=14398467 width=92) - predicate:(wr_returned_date_sk is not null and wr_returning_addr_sk is not null and wr_returning_customer_sk is not null) - Please refer to the previous TableScan [TS_6] - <-Map 14 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_11] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query31.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query31.q.out b/ql/src/test/results/clientpositive/perf/query31.q.out deleted file mode 100644 index 4ccc6a4..0000000 --- a/ql/src/test/results/clientpositive/perf/query31.q.out +++ /dev/null @@ -1,358 +0,0 @@ -PREHOOK: query: explain -with ss as - (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales - from store_sales,date_dim,customer_address - where ss_sold_date_sk = d_date_sk - and ss_addr_sk=ca_address_sk - group by ca_county,d_qoy, d_year), - ws as - (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales - from web_sales,date_dim,customer_address - where ws_sold_date_sk = d_date_sk - and ws_bill_addr_sk=ca_address_sk - group by ca_county,d_qoy, d_year) - select /* tt */ - ss1.ca_county - ,ss1.d_year - ,ws2.web_sales/ws1.web_sales web_q1_q2_increase - ,ss2.store_sales/ss1.store_sales store_q1_q2_increase - ,ws3.web_sales/ws2.web_sales web_q2_q3_increase - ,ss3.store_sales/ss2.store_sales store_q2_q3_increase - from - ss ss1 - ,ss ss2 - ,ss ss3 - ,ws ws1 - ,ws ws2 - ,ws ws3 - where - ss1.d_qoy = 1 - and ss1.d_year = 2000 - and ss1.ca_county = ss2.ca_county - and ss2.d_qoy = 2 - and ss2.d_year = 2000 - and ss2.ca_county = ss3.ca_county - and ss3.d_qoy = 3 - and ss3.d_year = 2000 - and ss1.ca_county = ws1.ca_county - and ws1.d_qoy = 1 - and ws1.d_year = 2000 - and ws1.ca_county = ws2.ca_county - and ws2.d_qoy = 2 - and ws2.d_year = 2000 - and ws1.ca_county = ws3.ca_county - and ws3.d_qoy = 3 - and ws3.d_year =2000 - and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end - > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end - and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end - > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end - order by ss1.d_year -PREHOOK: type: QUERY -POSTHOOK: query: explain -with ss as - (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales - from store_sales,date_dim,customer_address - where ss_sold_date_sk = d_date_sk - and ss_addr_sk=ca_address_sk - group by ca_county,d_qoy, d_year), - ws as - (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales - from web_sales,date_dim,customer_address - where ws_sold_date_sk = d_date_sk - and ws_bill_addr_sk=ca_address_sk - group by ca_county,d_qoy, d_year) - select /* tt */ - ss1.ca_county - ,ss1.d_year - ,ws2.web_sales/ws1.web_sales web_q1_q2_increase - ,ss2.store_sales/ss1.store_sales store_q1_q2_increase - ,ws3.web_sales/ws2.web_sales web_q2_q3_increase - ,ss3.store_sales/ss2.store_sales store_q2_q3_increase - from - ss ss1 - ,ss ss2 - ,ss ss3 - ,ws ws1 - ,ws ws2 - ,ws ws3 - where - ss1.d_qoy = 1 - and ss1.d_year = 2000 - and ss1.ca_county = ss2.ca_county - and ss2.d_qoy = 2 - and ss2.d_year = 2000 - and ss2.ca_county = ss3.ca_county - and ss3.d_qoy = 3 - and ss3.d_year = 2000 - and ss1.ca_county = ws1.ca_county - and ws1.d_qoy = 1 - and ws1.d_year = 2000 - and ws1.ca_county = ws2.ca_county - and ws2.d_qoy = 2 - and ws2.d_year = 2000 - and ws1.ca_county = ws3.ca_county - and ws3.d_qoy = 3 - and ws3.d_year =2000 - and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end - > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end - and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end - > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end - order by ss1.d_year -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 10 <- Map 23 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) -Reducer 11 <- Reducer 10 (SIMPLE_EDGE) -Reducer 13 <- Map 12 (SIMPLE_EDGE), Map 24 (SIMPLE_EDGE) -Reducer 14 <- Map 23 (SIMPLE_EDGE), Reducer 13 (SIMPLE_EDGE) -Reducer 15 <- Reducer 14 (SIMPLE_EDGE) -Reducer 16 <- Reducer 15 (ONE_TO_ONE_EDGE), Reducer 19 (ONE_TO_ONE_EDGE), Reducer 22 (ONE_TO_ONE_EDGE) -Reducer 17 <- Map 12 (SIMPLE_EDGE), Map 24 (SIMPLE_EDGE) -Reducer 18 <- Map 23 (SIMPLE_EDGE), Reducer 17 (SIMPLE_EDGE) -Reducer 19 <- Reducer 18 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE) -Reducer 20 <- Map 12 (SIMPLE_EDGE), Map 24 (SIMPLE_EDGE) -Reducer 21 <- Map 23 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE) -Reducer 22 <- Reducer 21 (SIMPLE_EDGE) -Reducer 3 <- Map 23 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 11 (ONE_TO_ONE_EDGE), Reducer 16 (SIMPLE_EDGE), Reducer 4 (ONE_TO_ONE_EDGE), Reducer 8 (ONE_TO_ONE_EDGE) -Reducer 6 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE) -Reducer 7 <- Map 23 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE) -Reducer 8 <- Reducer 7 (SIMPLE_EDGE) -Reducer 9 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:-1 - Stage-1 - Reducer 5 - File Output Operator [FS_133] - Select Operator [SEL_132] (rows=287493839 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_130] (rows=287493839 width=88) - predicate:(CASE WHEN ((_col1 > 0)) THEN (CASE WHEN ((_col9 > 0)) THEN (((_col11 / _col9) > (_col5 / _col1))) ELSE ((null > (_col5 / _col1))) END) ELSE (CASE WHEN ((_col9 > 0)) THEN (((_col11 / _col9) > null)) ELSE (null) END) END and CASE WHEN ((_col3 > 0)) THEN (CASE WHEN ((_col7 > 0)) THEN (((_col9 / _col7) > (_col1 / _col3))) ELSE ((null > (_col1 / _col3))) END) ELSE (CASE WHEN ((_col7 > 0)) THEN (((_col9 / _col7) > null)) ELSE (null) END) END) - Merge Join Operator [MERGEJOIN_267] (rows=1149975359 width=88) - Conds:RS_125._col0=RS_126._col0(Inner),RS_125._col0=RS_127._col0(Inner),RS_125._col0=RS_128._col0(Inner),Output:["_col0","_col1","_col3","_col5","_col7","_col9","_col11"] - <-Reducer 11 [ONE_TO_ONE_EDGE] - FORWARD [RS_127] - PartitionCols:_col0 - Group By Operator [GBY_58] (rows=348477374 width=88) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 10 [SIMPLE_EDGE] - SHUFFLE [RS_57] - PartitionCols:_col0 - Group By Operator [GBY_56] (rows=696954748 width=88) - Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7 - Merge Join Operator [MERGEJOIN_259] (rows=696954748 width=88) - Conds:RS_52._col1=RS_53._col0(Inner),Output:["_col2","_col7"] - <-Map 23 [SIMPLE_EDGE] - SHUFFLE [RS_53] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=40000000 width=1014) - Output:["_col0","_col1"] - Filter Operator [FIL_238] (rows=40000000 width=1014) - predicate:(ca_address_sk is not null and ca_county is not null) - TableScan [TS_6] (rows=40000000 width=1014) - default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_county"] - <-Reducer 9 [SIMPLE_EDGE] - SHUFFLE [RS_52] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_258] (rows=633595212 width=88) - Conds:RS_49._col0=RS_50._col0(Inner),Output:["_col1","_col2"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_50] - PartitionCols:_col0 - Select Operator [SEL_45] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_243] (rows=18262 width=1119) - predicate:((d_qoy = 3) and (d_year = 2000) 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","d_qoy"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_49] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=575995635 width=88) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_236] (rows=575995635 width=88) - predicate:(ss_addr_sk is not null and ss_sold_date_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_addr_sk","ss_ext_sales_price"] - <-Reducer 16 [SIMPLE_EDGE] - SHUFFLE [RS_128] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_266] (rows=191667561 width=135) - Conds:RS_120._col0=RS_121._col0(Inner),RS_120._col0=RS_122._col0(Inner),Output:["_col0","_col1","_col3","_col5"] - <-Reducer 15 [ONE_TO_ONE_EDGE] - FORWARD [RS_120] - PartitionCols:_col0 - Group By Operator [GBY_78] (rows=87121617 width=135) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 14 [SIMPLE_EDGE] - SHUFFLE [RS_77] - PartitionCols:_col0 - Group By Operator [GBY_76] (rows=174243235 width=135) - Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7 - Merge Join Operator [MERGEJOIN_261] (rows=174243235 width=135) - Conds:RS_72._col1=RS_73._col0(Inner),Output:["_col2","_col7"] - <-Map 23 [SIMPLE_EDGE] - SHUFFLE [RS_73] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 13 [SIMPLE_EDGE] - SHUFFLE [RS_72] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_260] (rows=158402938 width=135) - Conds:RS_69._col0=RS_70._col0(Inner),Output:["_col1","_col2"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_70] - PartitionCols:_col0 - Select Operator [SEL_65] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_246] (rows=18262 width=1119) - predicate:((d_qoy = 1) and (d_year = 2000) and d_date_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Map 24 [SIMPLE_EDGE] - SHUFFLE [RS_69] - PartitionCols:_col0 - Select Operator [SEL_62] (rows=144002668 width=135) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_245] (rows=144002668 width=135) - predicate:(ws_bill_addr_sk is not null and ws_sold_date_sk is not null) - TableScan [TS_60] (rows=144002668 width=135) - default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_bill_addr_sk","ws_ext_sales_price"] - <-Reducer 19 [ONE_TO_ONE_EDGE] - FORWARD [RS_121] - PartitionCols:_col0 - Group By Operator [GBY_98] (rows=87121617 width=135) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 18 [SIMPLE_EDGE] - SHUFFLE [RS_97] - PartitionCols:_col0 - Group By Operator [GBY_96] (rows=174243235 width=135) - Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7 - Merge Join Operator [MERGEJOIN_263] (rows=174243235 width=135) - Conds:RS_92._col1=RS_93._col0(Inner),Output:["_col2","_col7"] - <-Map 23 [SIMPLE_EDGE] - SHUFFLE [RS_93] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 17 [SIMPLE_EDGE] - SHUFFLE [RS_92] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_262] (rows=158402938 width=135) - Conds:RS_89._col0=RS_90._col0(Inner),Output:["_col1","_col2"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_90] - PartitionCols:_col0 - Select Operator [SEL_85] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_249] (rows=18262 width=1119) - predicate:((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Map 24 [SIMPLE_EDGE] - SHUFFLE [RS_89] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_62] - <-Reducer 22 [ONE_TO_ONE_EDGE] - FORWARD [RS_122] - PartitionCols:_col0 - Group By Operator [GBY_118] (rows=87121617 width=135) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 21 [SIMPLE_EDGE] - SHUFFLE [RS_117] - PartitionCols:_col0 - Group By Operator [GBY_116] (rows=174243235 width=135) - Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7 - Merge Join Operator [MERGEJOIN_265] (rows=174243235 width=135) - Conds:RS_112._col1=RS_113._col0(Inner),Output:["_col2","_col7"] - <-Map 23 [SIMPLE_EDGE] - SHUFFLE [RS_113] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 20 [SIMPLE_EDGE] - SHUFFLE [RS_112] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_264] (rows=158402938 width=135) - Conds:RS_109._col0=RS_110._col0(Inner),Output:["_col1","_col2"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_110] - PartitionCols:_col0 - Select Operator [SEL_105] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_252] (rows=18262 width=1119) - predicate:((d_qoy = 3) and (d_year = 2000) and d_date_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Map 24 [SIMPLE_EDGE] - SHUFFLE [RS_109] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_62] - <-Reducer 4 [ONE_TO_ONE_EDGE] - FORWARD [RS_125] - PartitionCols:_col0 - Group By Operator [GBY_18] (rows=348477374 width=88) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_17] - PartitionCols:_col0 - Group By Operator [GBY_16] (rows=696954748 width=88) - Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7 - Merge Join Operator [MERGEJOIN_255] (rows=696954748 width=88) - Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col2","_col7"] - <-Map 23 [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_254] (rows=633595212 width=88) - Conds:RS_9._col0=RS_10._col0(Inner),Output:["_col1","_col2"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_10] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_237] (rows=18262 width=1119) - predicate:((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_9] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_2] - <-Reducer 8 [ONE_TO_ONE_EDGE] - FORWARD [RS_126] - PartitionCols:_col0 - Group By Operator [GBY_38] (rows=348477374 width=88) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 7 [SIMPLE_EDGE] - SHUFFLE [RS_37] - PartitionCols:_col0 - Group By Operator [GBY_36] (rows=696954748 width=88) - Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7 - Merge Join Operator [MERGEJOIN_257] (rows=696954748 width=88) - Conds:RS_32._col1=RS_33._col0(Inner),Output:["_col2","_col7"] - <-Map 23 [SIMPLE_EDGE] - SHUFFLE [RS_33] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 6 [SIMPLE_EDGE] - SHUFFLE [RS_32] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_256] (rows=633595212 width=88) - Conds:RS_29._col0=RS_30._col0(Inner),Output:["_col1","_col2"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_30] - PartitionCols:_col0 - Select Operator [SEL_25] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_240] (rows=18262 width=1119) - predicate:((d_qoy = 1) and (d_year = 2000) and d_date_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_29] - 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/query32.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query32.q.out b/ql/src/test/results/clientpositive/perf/query32.q.out deleted file mode 100644 index 7b21854..0000000 --- a/ql/src/test/results/clientpositive/perf/query32.q.out +++ /dev/null @@ -1,144 +0,0 @@ -PREHOOK: query: explain -select sum(cs_ext_discount_amt) as `excess discount amount` -from - catalog_sales - ,item - ,date_dim -where -i_manufact_id = 269 -and i_item_sk = cs_item_sk -and d_date between '1998-03-18' and - (cast('1998-03-18' as date) + 90 days) -and d_date_sk = cs_sold_date_sk -and cs_ext_discount_amt - > ( - select - 1.3 * avg(cs_ext_discount_amt) - from - catalog_sales - ,date_dim - where - cs_item_sk = i_item_sk - and d_date between '1998-03-18' and - (cast('1998-03-18' as date) + 90 days) - and d_date_sk = cs_sold_date_sk - ) -limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select sum(cs_ext_discount_amt) as `excess discount amount` -from - catalog_sales - ,item - ,date_dim -where -i_manufact_id = 269 -and i_item_sk = cs_item_sk -and d_date between '1998-03-18' and - (cast('1998-03-18' as date) + 90 days) -and d_date_sk = cs_sold_date_sk -and cs_ext_discount_amt - > ( - select - 1.3 * avg(cs_ext_discount_amt) - from - catalog_sales - ,date_dim - where - cs_item_sk = i_item_sk - and d_date between '1998-03-18' and - (cast('1998-03-18' as date) + 90 days) - and d_date_sk = cs_sold_date_sk - ) -limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (CUSTOM_SIMPLE_EDGE) -Reducer 5 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Map 9 (SIMPLE_EDGE), Reducer 6 (ONE_TO_ONE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 4 - File Output Operator [FS_40] - Limit [LIM_39] (rows=1 width=112) - Number of rows:100 - Group By Operator [GBY_37] (rows=1 width=112) - Output:["_col0"],aggregations:["sum(VALUE._col0)"] - <-Reducer 3 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_36] - Group By Operator [GBY_35] (rows=1 width=112) - Output:["_col0"],aggregations:["sum(_col2)"] - Select Operator [SEL_34] (rows=116155905 width=135) - Output:["_col2"] - Filter Operator [FIL_33] (rows=116155905 width=135) - predicate:(_col2 > _col5) - Merge Join Operator [MERGEJOIN_61] (rows=348467716 width=135) - Conds:RS_30._col1=RS_31._col2(Inner),Output:["_col2","_col5"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_30] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_58] (rows=316788826 width=135) - Conds:RS_27._col0=RS_28._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_27] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=287989836 width=135) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_53] (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_ext_discount_amt"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_28] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=8116 width=1119) - Output:["_col0"] - Filter Operator [FIL_54] (rows=8116 width=1119) - predicate:(CAST( d_date AS TIMESTAMP) BETWEEN 1998-03-18 00:00:00.0 AND 1998-06-16 01:00:00.0 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"] - <-Reducer 7 [SIMPLE_EDGE] - SHUFFLE [RS_31] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_60] (rows=174233858 width=135) - Conds:RS_23._col1=RS_24._col0(Inner),Output:["_col0","_col2"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_24] - PartitionCols:_col0 - Select Operator [SEL_22] (rows=231000 width=1436) - Output:["_col0"] - Filter Operator [FIL_57] (rows=231000 width=1436) - predicate:((i_manufact_id = 269) and i_item_sk is not null) - TableScan [TS_20] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_manufact_id"] - <-Reducer 6 [ONE_TO_ONE_EDGE] - FORWARD [RS_23] - PartitionCols:_col1 - Select Operator [SEL_19] (rows=158394413 width=135) - Output:["_col0","_col1"] - Group By Operator [GBY_18] (rows=158394413 width=135) - Output:["_col0","_col1"],aggregations:["avg(VALUE._col0)"],keys:KEY._col0 - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_17] - PartitionCols:_col0 - Group By Operator [GBY_16] (rows=316788826 width=135) - Output:["_col0","_col1"],aggregations:["avg(_col2)"],keys:_col1 - Merge Join Operator [MERGEJOIN_59] (rows=316788826 width=135) - Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_2] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_5] -
