http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query87.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query87.q.out b/ql/src/test/results/clientpositive/perf/query87.q.out deleted file mode 100644 index 8430e8a..0000000 --- a/ql/src/test/results/clientpositive/perf/query87.q.out +++ /dev/null @@ -1,239 +0,0 @@ -PREHOOK: query: explain -select count(*) -from ((select distinct c_last_name, c_first_name, d_date - from store_sales, date_dim, customer - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212+11) - except - (select distinct c_last_name, c_first_name, d_date - from catalog_sales, date_dim, customer - where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk - and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212+11) - except - (select distinct c_last_name, c_first_name, d_date - from web_sales, date_dim, customer - where web_sales.ws_sold_date_sk = date_dim.d_date_sk - and web_sales.ws_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212+11) -) cool_cust -PREHOOK: type: QUERY -POSTHOOK: query: explain -select count(*) -from ((select distinct c_last_name, c_first_name, d_date - from store_sales, date_dim, customer - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212+11) - except - (select distinct c_last_name, c_first_name, d_date - from catalog_sales, date_dim, customer - where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk - and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212+11) - except - (select distinct c_last_name, c_first_name, d_date - from web_sales, date_dim, customer - where web_sales.ws_sold_date_sk = date_dim.d_date_sk - and web_sales.ws_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212+11) -) cool_cust -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 11 <- Map 10 (SIMPLE_EDGE), Map 18 (SIMPLE_EDGE) -Reducer 12 <- Map 17 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE) -Reducer 13 <- Reducer 12 (SIMPLE_EDGE), Union 5 (CONTAINS) -Reducer 14 <- Map 10 (SIMPLE_EDGE), Map 19 (SIMPLE_EDGE) -Reducer 15 <- Map 17 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE) -Reducer 16 <- Reducer 15 (SIMPLE_EDGE), Union 7 (CONTAINS) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 10 (SIMPLE_EDGE) -Reducer 3 <- Map 17 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- 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 8 (CUSTOM_SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:-1 - Stage-1 - Reducer 9 - File Output Operator [FS_104] - Group By Operator [GBY_102] (rows=1 width=24) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 8 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_101] - Group By Operator [GBY_100] (rows=1 width=24) - Output:["_col0"],aggregations:["count()"] - Select Operator [SEL_98] (rows=4537552 width=129) - Filter Operator [FIL_97] (rows=4537552 width=129) - predicate:(((_col3 * 2) = _col4) and (_col3 > 0)) - Select Operator [SEL_129] (rows=27225312 width=129) - Output:["_col3","_col4"] - Group By Operator [GBY_96] (rows=27225312 width=129) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Union 7 [SIMPLE_EDGE] - <-Reducer 16 [CONTAINS] - Reduce Output Operator [RS_95] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_94] (rows=54450625 width=129) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col3)","sum(_col4)"],keys:_col0, _col1, _col2 - Select Operator [SEL_92] (rows=54450625 width=129) - Output:["_col0","_col1","_col2","_col3","_col4"] - Select Operator [SEL_89] (rows=43560808 width=135) - Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_88] (rows=43560808 width=135) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count()"],keys:_col1, _col0, _col2 - Select Operator [SEL_84] (rows=87121617 width=135) - Output:["_col0","_col1","_col2"] - Group By Operator [GBY_83] (rows=87121617 width=135) - Output:["_col0","_col1","_col2"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Reducer 15 [SIMPLE_EDGE] - SHUFFLE [RS_82] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_81] (rows=174243235 width=135) - Output:["_col0","_col1","_col2"],keys:_col7, _col6, _col3 - Merge Join Operator [MERGEJOIN_135] (rows=174243235 width=135) - Conds:RS_77._col1=RS_78._col0(Inner),Output:["_col3","_col6","_col7"] - <-Map 17 [SIMPLE_EDGE] - SHUFFLE [RS_78] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=80000000 width=860) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_122] (rows=80000000 width=860) - predicate:c_customer_sk is not null - TableScan [TS_6] (rows=80000000 width=860) - default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_first_name","c_last_name"] - <-Reducer 14 [SIMPLE_EDGE] - SHUFFLE [RS_77] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_134] (rows=158402938 width=135) - Conds:RS_74._col0=RS_75._col0(Inner),Output:["_col1","_col3"] - <-Map 10 [SIMPLE_EDGE] - SHUFFLE [RS_75] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=8116 width=1119) - Output:["_col0","_col1"] - Filter Operator [FIL_121] (rows=8116 width=1119) - predicate:(d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) - TableScan [TS_3] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date","d_month_seq"] - <-Map 19 [SIMPLE_EDGE] - SHUFFLE [RS_74] - PartitionCols:_col0 - Select Operator [SEL_67] (rows=144002668 width=135) - Output:["_col0","_col1"] - Filter Operator [FIL_126] (rows=144002668 width=135) - predicate:(ws_bill_customer_sk is not null and ws_sold_date_sk is not null) - TableScan [TS_65] (rows=144002668 width=135) - default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_bill_customer_sk"] - <-Reducer 6 [CONTAINS] - Reduce Output Operator [RS_95] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_94] (rows=54450625 width=129) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col3)","sum(_col4)"],keys:_col0, _col1, _col2 - Select Operator [SEL_92] (rows=54450625 width=129) - Output:["_col0","_col1","_col2","_col3","_col4"] - Select Operator [SEL_64] (rows=10889817 width=103) - Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_63] (rows=10889817 width=103) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count()"],keys:_col0, _col1, _col2 - Select Operator [SEL_59] (rows=21779634 width=103) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_58] (rows=21779634 width=103) - predicate:(((_col3 * 2) = _col4) and (_col3 > 0)) - Group By Operator [GBY_57] (rows=130677808 width=103) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Union 5 [SIMPLE_EDGE] - <-Reducer 13 [CONTAINS] - Reduce Output Operator [RS_56] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_55] (rows=261355616 width=103) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col3)","sum(_col4)"],keys:_col0, _col1, _col2 - Select Operator [SEL_53] (rows=261355616 width=103) - Output:["_col0","_col1","_col2","_col3","_col4"] - Select Operator [SEL_50] (rows=87116929 width=135) - Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_49] (rows=87116929 width=135) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count()"],keys:_col1, _col0, _col2 - Select Operator [SEL_45] (rows=174233858 width=135) - Output:["_col0","_col1","_col2"] - Group By Operator [GBY_44] (rows=174233858 width=135) - Output:["_col0","_col1","_col2"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_43] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_42] (rows=348467716 width=135) - Output:["_col0","_col1","_col2"],keys:_col7, _col6, _col3 - Merge Join Operator [MERGEJOIN_133] (rows=348467716 width=135) - Conds:RS_38._col1=RS_39._col0(Inner),Output:["_col3","_col6","_col7"] - <-Map 17 [SIMPLE_EDGE] - SHUFFLE [RS_39] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_38] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_132] (rows=316788826 width=135) - Conds:RS_35._col0=RS_36._col0(Inner),Output:["_col1","_col3"] - <-Map 10 [SIMPLE_EDGE] - SHUFFLE [RS_36] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_5] - <-Map 18 [SIMPLE_EDGE] - SHUFFLE [RS_35] - PartitionCols:_col0 - Select Operator [SEL_28] (rows=287989836 width=135) - Output:["_col0","_col1"] - Filter Operator [FIL_123] (rows=287989836 width=135) - predicate:(cs_bill_customer_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_26] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk"] - <-Reducer 4 [CONTAINS] - Reduce Output Operator [RS_56] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_55] (rows=261355616 width=103) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col3)","sum(_col4)"],keys:_col0, _col1, _col2 - Select Operator [SEL_53] (rows=261355616 width=103) - Output:["_col0","_col1","_col2","_col3","_col4"] - Select Operator [SEL_24] (rows=174238687 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_23] (rows=174238687 width=88) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count()"],keys:_col1, _col0, _col2 - Select Operator [SEL_19] (rows=348477374 width=88) - Output:["_col0","_col1","_col2"] - Group By Operator [GBY_18] (rows=348477374 width=88) - Output:["_col0","_col1","_col2"],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"],keys:_col7, _col6, _col3 - Merge Join Operator [MERGEJOIN_131] (rows=696954748 width=88) - Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col3","_col6","_col7"] - <-Map 17 [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_130] (rows=633595212 width=88) - Conds:RS_9._col0=RS_10._col0(Inner),Output:["_col1","_col3"] - <-Map 10 [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"] - Filter Operator [FIL_120] (rows=575995635 width=88) - predicate:(ss_customer_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_customer_sk"] -
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query88.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query88.q.out b/ql/src/test/results/clientpositive/perf/query88.q.out deleted file mode 100644 index 6bad30c..0000000 --- a/ql/src/test/results/clientpositive/perf/query88.q.out +++ /dev/null @@ -1,569 +0,0 @@ -Warning: Shuffle Join MERGEJOIN[347][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6, $hdt$_7]] in Stage 'Reducer 6' is a cross product -PREHOOK: query: explain -select * -from - (select count(*) h8_30_to_9 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 8 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s1, - (select count(*) h9_to_9_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 9 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s2, - (select count(*) h9_30_to_10 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 9 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s3, - (select count(*) h10_to_10_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 10 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s4, - (select count(*) h10_30_to_11 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 10 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s5, - (select count(*) h11_to_11_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 11 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s6, - (select count(*) h11_30_to_12 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 11 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s7, - (select count(*) h12_to_12_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 12 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s8 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select * -from - (select count(*) h8_30_to_9 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 8 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s1, - (select count(*) h9_to_9_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 9 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s2, - (select count(*) h9_30_to_10 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 9 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s3, - (select count(*) h10_to_10_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 10 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s4, - (select count(*) h10_30_to_11 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 10 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s5, - (select count(*) h11_to_11_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 11 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s6, - (select count(*) h11_30_to_12 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 11 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s7, - (select count(*) h12_to_12_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 12 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s8 -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), Map 35 (SIMPLE_EDGE) -Reducer 12 <- Map 36 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE) -Reducer 13 <- Map 37 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE) -Reducer 14 <- Reducer 13 (CUSTOM_SIMPLE_EDGE) -Reducer 15 <- Map 1 (SIMPLE_EDGE), Map 35 (SIMPLE_EDGE) -Reducer 16 <- Map 36 (SIMPLE_EDGE), Reducer 15 (SIMPLE_EDGE) -Reducer 17 <- Map 37 (SIMPLE_EDGE), Reducer 16 (SIMPLE_EDGE) -Reducer 18 <- Reducer 17 (CUSTOM_SIMPLE_EDGE) -Reducer 19 <- Map 1 (SIMPLE_EDGE), Map 35 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 35 (SIMPLE_EDGE) -Reducer 20 <- Map 36 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE) -Reducer 21 <- Map 37 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE) -Reducer 22 <- Reducer 21 (CUSTOM_SIMPLE_EDGE) -Reducer 23 <- Map 1 (SIMPLE_EDGE), Map 35 (SIMPLE_EDGE) -Reducer 24 <- Map 36 (SIMPLE_EDGE), Reducer 23 (SIMPLE_EDGE) -Reducer 25 <- Map 37 (SIMPLE_EDGE), Reducer 24 (SIMPLE_EDGE) -Reducer 26 <- Reducer 25 (CUSTOM_SIMPLE_EDGE) -Reducer 27 <- Map 1 (SIMPLE_EDGE), Map 35 (SIMPLE_EDGE) -Reducer 28 <- Map 36 (SIMPLE_EDGE), Reducer 27 (SIMPLE_EDGE) -Reducer 29 <- Map 37 (SIMPLE_EDGE), Reducer 28 (SIMPLE_EDGE) -Reducer 3 <- Map 36 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 30 <- Reducer 29 (CUSTOM_SIMPLE_EDGE) -Reducer 31 <- Map 1 (SIMPLE_EDGE), Map 35 (SIMPLE_EDGE) -Reducer 32 <- Map 36 (SIMPLE_EDGE), Reducer 31 (SIMPLE_EDGE) -Reducer 33 <- Map 37 (SIMPLE_EDGE), Reducer 32 (SIMPLE_EDGE) -Reducer 34 <- Reducer 33 (CUSTOM_SIMPLE_EDGE) -Reducer 4 <- Map 37 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (CUSTOM_SIMPLE_EDGE) -Reducer 6 <- Reducer 10 (CUSTOM_SIMPLE_EDGE), Reducer 14 (CUSTOM_SIMPLE_EDGE), Reducer 18 (CUSTOM_SIMPLE_EDGE), Reducer 22 (CUSTOM_SIMPLE_EDGE), Reducer 26 (CUSTOM_SIMPLE_EDGE), Reducer 30 (CUSTOM_SIMPLE_EDGE), Reducer 34 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE) -Reducer 7 <- Map 1 (SIMPLE_EDGE), Map 35 (SIMPLE_EDGE) -Reducer 8 <- Map 36 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) -Reducer 9 <- Map 37 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:-1 - Stage-1 - Reducer 6 - File Output Operator [FS_218] - Select Operator [SEL_217] (rows=1 width=65) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - Merge Join Operator [MERGEJOIN_347] (rows=1 width=65) - Conds:(Inner),(Inner),(Inner),(Inner),(Inner),(Inner),(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - <-Reducer 10 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_209] - Group By Operator [GBY_50] (rows=1 width=8) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 9 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_49] - Group By Operator [GBY_48] (rows=1 width=8) - Output:["_col0"],aggregations:["count()"] - Merge Join Operator [MERGEJOIN_328] (rows=766650239 width=88) - Conds:RS_44._col2=RS_45._col0(Inner) - <-Map 37 [SIMPLE_EDGE] - SHUFFLE [RS_45] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=852 width=1910) - Output:["_col0"] - Filter Operator [FIL_294] (rows=852 width=1910) - predicate:((s_store_name = 'ese') 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_store_name"] - <-Reducer 8 [SIMPLE_EDGE] - SHUFFLE [RS_44] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_327] (rows=696954748 width=88) - Conds:RS_41._col1=RS_42._col0(Inner),Output:["_col2"] - <-Map 36 [SIMPLE_EDGE] - SHUFFLE [RS_42] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=3600 width=107) - Output:["_col0"] - Filter Operator [FIL_293] (rows=3600 width=107) - predicate:((((hd_dep_count = 3) and (hd_vehicle_count <= 5)) or ((hd_dep_count = 0) and (hd_vehicle_count <= 2)) or ((hd_dep_count = 1) and (hd_vehicle_count <= 3))) and hd_demo_sk is not null) - TableScan [TS_6] (rows=7200 width=107) - default@household_demographics,household_demographics,Tbl:COMPLETE,Col:NONE,Output:["hd_demo_sk","hd_dep_count","hd_vehicle_count"] - <-Reducer 7 [SIMPLE_EDGE] - SHUFFLE [RS_41] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_326] (rows=633595212 width=88) - Conds:RS_38._col0=RS_39._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_38] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=575995635 width=88) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_291] (rows=575995635 width=88) - predicate:(ss_hdemo_sk is not null and ss_sold_time_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_time_sk","ss_hdemo_sk","ss_store_sk"] - <-Map 35 [SIMPLE_EDGE] - SHUFFLE [RS_39] - PartitionCols:_col0 - Select Operator [SEL_31] (rows=14400 width=471) - Output:["_col0"] - Filter Operator [FIL_296] (rows=14400 width=471) - predicate:((t_hour = 12) and (t_minute < 30) and t_time_sk is not null) - TableScan [TS_3] (rows=86400 width=471) - default@time_dim,time_dim,Tbl:COMPLETE,Col:NONE,Output:["t_time_sk","t_hour","t_minute"] - <-Reducer 14 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_210] - Group By Operator [GBY_76] (rows=1 width=8) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 13 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_75] - Group By Operator [GBY_74] (rows=1 width=8) - Output:["_col0"],aggregations:["count()"] - Merge Join Operator [MERGEJOIN_331] (rows=766650239 width=88) - Conds:RS_70._col2=RS_71._col0(Inner) - <-Map 37 [SIMPLE_EDGE] - SHUFFLE [RS_71] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_11] - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_70] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_330] (rows=696954748 width=88) - Conds:RS_67._col1=RS_68._col0(Inner),Output:["_col2"] - <-Map 36 [SIMPLE_EDGE] - SHUFFLE [RS_68] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_67] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_329] (rows=633595212 width=88) - Conds:RS_64._col0=RS_65._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_64] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_2] - <-Map 35 [SIMPLE_EDGE] - SHUFFLE [RS_65] - PartitionCols:_col0 - Select Operator [SEL_57] (rows=14400 width=471) - Output:["_col0"] - Filter Operator [FIL_300] (rows=14400 width=471) - predicate:((t_hour = 11) and (t_minute >= 30) and t_time_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Reducer 18 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_211] - Group By Operator [GBY_102] (rows=1 width=8) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 17 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_101] - Group By Operator [GBY_100] (rows=1 width=8) - Output:["_col0"],aggregations:["count()"] - Merge Join Operator [MERGEJOIN_334] (rows=766650239 width=88) - Conds:RS_96._col2=RS_97._col0(Inner) - <-Map 37 [SIMPLE_EDGE] - SHUFFLE [RS_97] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_11] - <-Reducer 16 [SIMPLE_EDGE] - SHUFFLE [RS_96] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_333] (rows=696954748 width=88) - Conds:RS_93._col1=RS_94._col0(Inner),Output:["_col2"] - <-Map 36 [SIMPLE_EDGE] - SHUFFLE [RS_94] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 15 [SIMPLE_EDGE] - SHUFFLE [RS_93] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_332] (rows=633595212 width=88) - Conds:RS_90._col0=RS_91._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_90] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_2] - <-Map 35 [SIMPLE_EDGE] - SHUFFLE [RS_91] - PartitionCols:_col0 - Select Operator [SEL_83] (rows=14400 width=471) - Output:["_col0"] - Filter Operator [FIL_304] (rows=14400 width=471) - predicate:((t_hour = 11) and (t_minute < 30) and t_time_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Reducer 22 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_212] - Group By Operator [GBY_128] (rows=1 width=8) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 21 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_127] - Group By Operator [GBY_126] (rows=1 width=8) - Output:["_col0"],aggregations:["count()"] - Merge Join Operator [MERGEJOIN_337] (rows=766650239 width=88) - Conds:RS_122._col2=RS_123._col0(Inner) - <-Map 37 [SIMPLE_EDGE] - SHUFFLE [RS_123] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_11] - <-Reducer 20 [SIMPLE_EDGE] - SHUFFLE [RS_122] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_336] (rows=696954748 width=88) - Conds:RS_119._col1=RS_120._col0(Inner),Output:["_col2"] - <-Map 36 [SIMPLE_EDGE] - SHUFFLE [RS_120] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 19 [SIMPLE_EDGE] - SHUFFLE [RS_119] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_335] (rows=633595212 width=88) - Conds:RS_116._col0=RS_117._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_116] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_2] - <-Map 35 [SIMPLE_EDGE] - SHUFFLE [RS_117] - PartitionCols:_col0 - Select Operator [SEL_109] (rows=14400 width=471) - Output:["_col0"] - Filter Operator [FIL_308] (rows=14400 width=471) - predicate:((t_hour = 10) and (t_minute >= 30) and t_time_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Reducer 26 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_213] - Group By Operator [GBY_154] (rows=1 width=8) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 25 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_153] - Group By Operator [GBY_152] (rows=1 width=8) - Output:["_col0"],aggregations:["count()"] - Merge Join Operator [MERGEJOIN_340] (rows=766650239 width=88) - Conds:RS_148._col2=RS_149._col0(Inner) - <-Map 37 [SIMPLE_EDGE] - SHUFFLE [RS_149] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_11] - <-Reducer 24 [SIMPLE_EDGE] - SHUFFLE [RS_148] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_339] (rows=696954748 width=88) - Conds:RS_145._col1=RS_146._col0(Inner),Output:["_col2"] - <-Map 36 [SIMPLE_EDGE] - SHUFFLE [RS_146] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 23 [SIMPLE_EDGE] - SHUFFLE [RS_145] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_338] (rows=633595212 width=88) - Conds:RS_142._col0=RS_143._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_142] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_2] - <-Map 35 [SIMPLE_EDGE] - SHUFFLE [RS_143] - PartitionCols:_col0 - Select Operator [SEL_135] (rows=14400 width=471) - Output:["_col0"] - Filter Operator [FIL_312] (rows=14400 width=471) - predicate:((t_hour = 10) and (t_minute < 30) and t_time_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Reducer 30 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_214] - Group By Operator [GBY_180] (rows=1 width=8) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 29 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_179] - Group By Operator [GBY_178] (rows=1 width=8) - Output:["_col0"],aggregations:["count()"] - Merge Join Operator [MERGEJOIN_343] (rows=766650239 width=88) - Conds:RS_174._col2=RS_175._col0(Inner) - <-Map 37 [SIMPLE_EDGE] - SHUFFLE [RS_175] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_11] - <-Reducer 28 [SIMPLE_EDGE] - SHUFFLE [RS_174] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_342] (rows=696954748 width=88) - Conds:RS_171._col1=RS_172._col0(Inner),Output:["_col2"] - <-Map 36 [SIMPLE_EDGE] - SHUFFLE [RS_172] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 27 [SIMPLE_EDGE] - SHUFFLE [RS_171] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_341] (rows=633595212 width=88) - Conds:RS_168._col0=RS_169._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_168] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_2] - <-Map 35 [SIMPLE_EDGE] - SHUFFLE [RS_169] - PartitionCols:_col0 - Select Operator [SEL_161] (rows=14400 width=471) - Output:["_col0"] - Filter Operator [FIL_316] (rows=14400 width=471) - predicate:((t_hour = 9) and (t_minute >= 30) and t_time_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Reducer 34 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_215] - Group By Operator [GBY_206] (rows=1 width=8) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 33 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_205] - Group By Operator [GBY_204] (rows=1 width=8) - Output:["_col0"],aggregations:["count()"] - Merge Join Operator [MERGEJOIN_346] (rows=766650239 width=88) - Conds:RS_200._col2=RS_201._col0(Inner) - <-Map 37 [SIMPLE_EDGE] - SHUFFLE [RS_201] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_11] - <-Reducer 32 [SIMPLE_EDGE] - SHUFFLE [RS_200] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_345] (rows=696954748 width=88) - Conds:RS_197._col1=RS_198._col0(Inner),Output:["_col2"] - <-Map 36 [SIMPLE_EDGE] - SHUFFLE [RS_198] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 31 [SIMPLE_EDGE] - SHUFFLE [RS_197] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_344] (rows=633595212 width=88) - Conds:RS_194._col0=RS_195._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_194] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_2] - <-Map 35 [SIMPLE_EDGE] - SHUFFLE [RS_195] - PartitionCols:_col0 - Select Operator [SEL_187] (rows=14400 width=471) - Output:["_col0"] - Filter Operator [FIL_320] (rows=14400 width=471) - predicate:((t_hour = 9) and (t_minute < 30) and t_time_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Reducer 5 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_208] - Group By Operator [GBY_24] (rows=1 width=8) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 4 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_23] - Group By Operator [GBY_22] (rows=1 width=8) - Output:["_col0"],aggregations:["count()"] - Merge Join Operator [MERGEJOIN_325] (rows=766650239 width=88) - Conds:RS_18._col2=RS_19._col0(Inner) - <-Map 37 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_11] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_324] (rows=696954748 width=88) - Conds:RS_15._col1=RS_16._col0(Inner),Output:["_col2"] - <-Map 36 [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_323] (rows=633595212 width=88) - 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 35 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=14400 width=471) - Output:["_col0"] - Filter Operator [FIL_292] (rows=14400 width=471) - predicate:((t_hour = 8) and (t_minute >= 30) and t_time_sk is not null) - Please refer to the previous TableScan [TS_3] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query89.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query89.q.out b/ql/src/test/results/clientpositive/perf/query89.q.out deleted file mode 100644 index 7c37909..0000000 --- a/ql/src/test/results/clientpositive/perf/query89.q.out +++ /dev/null @@ -1,147 +0,0 @@ -PREHOOK: query: explain -select * -from( -select i_category, i_class, i_brand, - s_store_name, s_company_name, - d_moy, - sum(ss_sales_price) sum_sales, - avg(sum(ss_sales_price)) over - (partition by i_category, i_brand, s_store_name, s_company_name) - avg_monthly_sales -from item, store_sales, date_dim, store -where ss_item_sk = i_item_sk and - ss_sold_date_sk = d_date_sk and - ss_store_sk = s_store_sk and - d_year in (2000) and - ((i_category in ('Home','Books','Electronics') and - i_class in ('wallpaper','parenting','musical') - ) - or (i_category in ('Shoes','Jewelry','Men') and - i_class in ('womens','birdal','pants') - )) -group by i_category, i_class, i_brand, - s_store_name, s_company_name, d_moy) tmp1 -where case when (avg_monthly_sales <> 0) then (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) else null end > 0.1 -order by sum_sales - avg_monthly_sales, s_store_name -limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select * -from( -select i_category, i_class, i_brand, - s_store_name, s_company_name, - d_moy, - sum(ss_sales_price) sum_sales, - avg(sum(ss_sales_price)) over - (partition by i_category, i_brand, s_store_name, s_company_name) - avg_monthly_sales -from item, store_sales, date_dim, store -where ss_item_sk = i_item_sk and - ss_sold_date_sk = d_date_sk and - ss_store_sk = s_store_sk and - d_year in (2000) and - ((i_category in ('Home','Books','Electronics') and - i_class in ('wallpaper','parenting','musical') - ) - or (i_category in ('Shoes','Jewelry','Men') and - i_class in ('womens','birdal','pants') - )) -group by i_category, i_class, i_brand, - s_store_name, s_company_name, d_moy) tmp1 -where case when (avg_monthly_sales <> 0) then (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) else null end > 0.1 -order by sum_sales - avg_monthly_sales, s_store_name -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 <- Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:-1 - Stage-1 - Reducer 7 - File Output Operator [FS_37] - Limit [LIM_35] (rows=100 width=88) - Number of rows:100 - Select Operator [SEL_34] (rows=191662559 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - <-Reducer 6 [SIMPLE_EDGE] - SHUFFLE [RS_33] - Select Operator [SEL_30] (rows=191662559 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] - Filter Operator [FIL_47] (rows=191662559 width=88) - predicate:CASE WHEN ((avg_window_0 <> 0)) THEN (((abs((_col6 - avg_window_0)) / avg_window_0) > 0.1)) ELSE (null) END - Select Operator [SEL_29] (rows=383325119 width=88) - Output:["avg_window_0","_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - PTF Operator [PTF_28] (rows=383325119 width=88) - Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col0 ASC NULLS FIRST, _col2 ASC NULLS FIRST, _col3 ASC NULLS FIRST, _col4 ASC NULLS FIRST","partition by:":"_col0, _col2, _col3, _col4"}] - Select Operator [SEL_27] (rows=383325119 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_26] - PartitionCols:_col0, _col2, _col3, _col4 - Select Operator [SEL_25] (rows=383325119 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - Group By Operator [GBY_24] (rows=383325119 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5 - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_23] - PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5 - Group By Operator [GBY_22] (rows=766650239 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col3)"],keys:_col5, _col6, _col7, _col10, _col12, _col13 - Merge Join Operator [MERGEJOIN_54] (rows=766650239 width=88) - Conds:RS_18._col2=RS_19._col0(Inner),Output:["_col3","_col5","_col6","_col7","_col10","_col12","_col13"] - <-Map 10 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=1704 width=1910) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_51] (rows=1704 width=1910) - predicate: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_store_name","s_company_name"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_53] (rows=696954748 width=88) - Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col2","_col3","_col5","_col6","_col7","_col10"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=36525 width=1119) - Output:["_col0","_col2"] - Filter Operator [FIL_50] (rows=36525 width=1119) - predicate:((d_year) IN (2000) 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","d_moy"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_15] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_52] (rows=633595212 width=88) - Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col0","_col2","_col3","_col5","_col6","_col7"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col1 - Select Operator [SEL_2] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_48] (rows=575995635 width=88) - predicate:(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_store_sk","ss_sales_price"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=231000 width=1436) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_49] (rows=231000 width=1436) - predicate:((((i_category) IN ('Home', 'Books', 'Electronics') and (i_class) IN ('wallpaper', 'parenting', 'musical')) or ((i_category) IN ('Shoes', 'Jewelry', 'Men') and (i_class) IN ('womens', 'birdal', 'pants'))) and ((i_category) IN ('Home', 'Books', 'Electronics') or (i_category) IN ('Shoes', 'Jewelry', 'Men')) and ((i_class) IN ('wallpaper', 'parenting', 'musical') or (i_class) IN ('womens', 'birdal', 'pants')) 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","i_class","i_category"] -
