http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query58.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query58.q.out b/ql/src/test/results/clientpositive/perf/tez/query58.q.out new file mode 100644 index 0000000..d5ef23b --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query58.q.out @@ -0,0 +1,440 @@ +Warning: Shuffle Join MERGEJOIN[265][tables = [$hdt$_4, $hdt$_5]] in Stage 'Reducer 20' is a cross product +Warning: Shuffle Join MERGEJOIN[269][tables = [$hdt$_5, $hdt$_6]] in Stage 'Reducer 24' is a cross product +Warning: Shuffle Join MERGEJOIN[273][tables = [$hdt$_6, $hdt$_7]] in Stage 'Reducer 28' is a cross product +PREHOOK: query: explain +with ss_items as + (select i_item_id item_id + ,sum(ss_ext_sales_price) ss_item_rev + from store_sales + ,item + ,date_dim + where ss_item_sk = i_item_sk + and d_date in (select d_date + from date_dim + where d_week_seq = (select d_week_seq + from date_dim + where d_date = '1998-02-19')) + and ss_sold_date_sk = d_date_sk + group by i_item_id), + cs_items as + (select i_item_id item_id + ,sum(cs_ext_sales_price) cs_item_rev + from catalog_sales + ,item + ,date_dim + where cs_item_sk = i_item_sk + and d_date in (select d_date + from date_dim + where d_week_seq = (select d_week_seq + from date_dim + where d_date = '1998-02-19')) + and cs_sold_date_sk = d_date_sk + group by i_item_id), + ws_items as + (select i_item_id item_id + ,sum(ws_ext_sales_price) ws_item_rev + from web_sales + ,item + ,date_dim + where ws_item_sk = i_item_sk + and d_date in (select d_date + from date_dim + where d_week_seq =(select d_week_seq + from date_dim + where d_date = '1998-02-19')) + and ws_sold_date_sk = d_date_sk + group by i_item_id) + select ss_items.item_id + ,ss_item_rev + ,ss_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 ss_dev + ,cs_item_rev + ,cs_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 cs_dev + ,ws_item_rev + ,ws_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 ws_dev + ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average + from ss_items,cs_items,ws_items + where ss_items.item_id=cs_items.item_id + and ss_items.item_id=ws_items.item_id + and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev + and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev + and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev + and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev + and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev + and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev + order by item_id + ,ss_item_rev + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +with ss_items as + (select i_item_id item_id + ,sum(ss_ext_sales_price) ss_item_rev + from store_sales + ,item + ,date_dim + where ss_item_sk = i_item_sk + and d_date in (select d_date + from date_dim + where d_week_seq = (select d_week_seq + from date_dim + where d_date = '1998-02-19')) + and ss_sold_date_sk = d_date_sk + group by i_item_id), + cs_items as + (select i_item_id item_id + ,sum(cs_ext_sales_price) cs_item_rev + from catalog_sales + ,item + ,date_dim + where cs_item_sk = i_item_sk + and d_date in (select d_date + from date_dim + where d_week_seq = (select d_week_seq + from date_dim + where d_date = '1998-02-19')) + and cs_sold_date_sk = d_date_sk + group by i_item_id), + ws_items as + (select i_item_id item_id + ,sum(ws_ext_sales_price) ws_item_rev + from web_sales + ,item + ,date_dim + where ws_item_sk = i_item_sk + and d_date in (select d_date + from date_dim + where d_week_seq =(select d_week_seq + from date_dim + where d_date = '1998-02-19')) + and ws_sold_date_sk = d_date_sk + group by i_item_id) + select ss_items.item_id + ,ss_item_rev + ,ss_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 ss_dev + ,cs_item_rev + ,cs_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 cs_dev + ,ws_item_rev + ,ws_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 ws_dev + ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average + from ss_items,cs_items,ws_items + where ss_items.item_id=cs_items.item_id + and ss_items.item_id=ws_items.item_id + and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev + and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev + and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev + and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev + and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev + and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev + order by item_id + ,ss_item_rev + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Reducer 9 (SIMPLE_EDGE) +Reducer 11 <- Map 33 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) +Reducer 12 <- Reducer 11 (SIMPLE_EDGE), Reducer 17 (SIMPLE_EDGE) +Reducer 13 <- Reducer 12 (SIMPLE_EDGE) +Reducer 15 <- Map 14 (SIMPLE_EDGE), Reducer 22 (ONE_TO_ONE_EDGE) +Reducer 16 <- Map 14 (SIMPLE_EDGE), Reducer 26 (ONE_TO_ONE_EDGE) +Reducer 17 <- Map 14 (SIMPLE_EDGE), Reducer 30 (ONE_TO_ONE_EDGE) +Reducer 19 <- Map 18 (CUSTOM_SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) +Reducer 20 <- Map 31 (CUSTOM_SIMPLE_EDGE), Reducer 19 (CUSTOM_SIMPLE_EDGE) +Reducer 21 <- Map 31 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE) +Reducer 22 <- Reducer 21 (SIMPLE_EDGE) +Reducer 23 <- Map 18 (CUSTOM_SIMPLE_EDGE) +Reducer 24 <- Map 31 (CUSTOM_SIMPLE_EDGE), Reducer 23 (CUSTOM_SIMPLE_EDGE) +Reducer 25 <- Map 31 (SIMPLE_EDGE), Reducer 24 (SIMPLE_EDGE) +Reducer 26 <- Reducer 25 (SIMPLE_EDGE) +Reducer 27 <- Map 18 (CUSTOM_SIMPLE_EDGE) +Reducer 28 <- Map 31 (CUSTOM_SIMPLE_EDGE), Reducer 27 (CUSTOM_SIMPLE_EDGE) +Reducer 29 <- Map 31 (SIMPLE_EDGE), Reducer 28 (SIMPLE_EDGE) +Reducer 3 <- Reducer 15 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 30 <- Reducer 29 (SIMPLE_EDGE) +Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 10 (ONE_TO_ONE_EDGE), Reducer 13 (ONE_TO_ONE_EDGE), Reducer 4 (ONE_TO_ONE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 8 <- Map 32 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) +Reducer 9 <- Reducer 16 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 6 + File Output Operator [FS_164] + Limit [LIM_163] (rows=100 width=88) + Number of rows:100 + Select Operator [SEL_162] (rows=1442 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_161] + Select Operator [SEL_160] (rows=1442 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + Filter Operator [FIL_154] (rows=1442 width=88) + predicate:(_col1 BETWEEN (0.9 * _col3) AND (1.1 * _col3) and _col1 BETWEEN (0.9 * _col5) AND (1.1 * _col5) and _col3 BETWEEN (0.9 * _col1) AND (1.1 * _col1) and _col3 BETWEEN (0.9 * _col5) AND (1.1 * _col5) and _col5 BETWEEN (0.9 * _col1) AND (1.1 * _col1) and _col5 BETWEEN (0.9 * _col3) AND (1.1 * _col3)) + Merge Join Operator [MERGEJOIN_279] (rows=766650239 width=88) + Conds:RS_150._col0=RS_151._col0(Inner),RS_150._col0=RS_152._col0(Inner),Output:["_col0","_col1","_col3","_col5"] + <-Reducer 10 [ONE_TO_ONE_EDGE] + FORWARD [RS_151] + PartitionCols:_col0 + Group By Operator [GBY_98] (rows=348477374 width=88) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_97] + PartitionCols:_col0 + Group By Operator [GBY_96] (rows=696954748 width=88) + Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4 + Merge Join Operator [MERGEJOIN_277] (rows=696954748 width=88) + Conds:RS_92._col0=RS_93._col0(Inner),Output:["_col2","_col4"] + <-Reducer 16 [SIMPLE_EDGE] + SHUFFLE [RS_93] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_271] (rows=80353 width=1119) + Conds:RS_85._col1=RS_86._col0(Inner),Output:["_col0"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_85] + PartitionCols:_col1 + Select Operator [SEL_8] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_248] (rows=73049 width=1119) + predicate:(d_date is not null 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_date"] + <-Reducer 26 [ONE_TO_ONE_EDGE] + FORWARD [RS_86] + PartitionCols:_col0 + Group By Operator [GBY_83] (rows=40176 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Reducer 25 [SIMPLE_EDGE] + SHUFFLE [RS_82] + PartitionCols:_col0 + Group By Operator [GBY_81] (rows=80353 width=1119) + Output:["_col0"],keys:_col2 + Merge Join Operator [MERGEJOIN_270] (rows=80353 width=1119) + Conds:RS_77._col1=RS_78._col1(Inner),Output:["_col2"] + <-Map 31 [SIMPLE_EDGE] + SHUFFLE [RS_78] + PartitionCols:_col1 + Select Operator [SEL_73] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_257] (rows=73049 width=1119) + predicate:(d_date is not null and d_week_seq is not null) + TableScan [TS_21] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date","d_week_seq"] + <-Reducer 24 [SIMPLE_EDGE] + SHUFFLE [RS_77] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_269] (rows=36524 width=1128) + Conds:(Inner),Output:["_col1"] + <-Map 31 [CUSTOM_SIMPLE_EDGE] + SHUFFLE [RS_75] + Select Operator [SEL_70] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_256] (rows=36524 width=1119) + predicate:((d_date = '1998-02-19') and d_week_seq is not null) + Please refer to the previous TableScan [TS_21] + <-Reducer 23 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_74] + Select Operator [SEL_67] (rows=1 width=8) + Filter Operator [FIL_66] (rows=1 width=8) + predicate:(sq_count_check(_col0) <= 1) + Group By Operator [GBY_64] (rows=1 width=8) + Output:["_col0"],aggregations:["count(VALUE._col0)"] + <-Map 18 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_63] + Group By Operator [GBY_12] (rows=1 width=8) + Output:["_col0"],aggregations:["count()"] + Select Operator [SEL_11] (rows=36524 width=1119) + Filter Operator [FIL_249] (rows=36524 width=1119) + predicate:(d_date = '1998-02-19') + TableScan [TS_9] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date"] + <-Reducer 8 [SIMPLE_EDGE] + SHUFFLE [RS_92] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_268] (rows=633595212 width=88) + Conds:RS_89._col1=RS_90._col0(Inner),Output:["_col0","_col2","_col4"] + <-Map 7 [SIMPLE_EDGE] + SHUFFLE [RS_90] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=462000 width=1436) + Output:["_col0","_col1"] + Filter Operator [FIL_247] (rows=462000 width=1436) + predicate:(i_item_id is not null 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_item_id"] + <-Map 32 [SIMPLE_EDGE] + SHUFFLE [RS_89] + PartitionCols:_col1 + Select Operator [SEL_52] (rows=575995635 width=88) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_252] (rows=575995635 width=88) + predicate:(ss_item_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_50] (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"] + <-Reducer 13 [ONE_TO_ONE_EDGE] + FORWARD [RS_152] + PartitionCols:_col0 + Group By Operator [GBY_148] (rows=87121617 width=135) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_147] + PartitionCols:_col0 + Group By Operator [GBY_146] (rows=174243235 width=135) + Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4 + Merge Join Operator [MERGEJOIN_278] (rows=174243235 width=135) + Conds:RS_142._col0=RS_143._col0(Inner),Output:["_col2","_col4"] + <-Reducer 11 [SIMPLE_EDGE] + SHUFFLE [RS_142] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_272] (rows=158402938 width=135) + Conds:RS_139._col1=RS_140._col0(Inner),Output:["_col0","_col2","_col4"] + <-Map 7 [SIMPLE_EDGE] + SHUFFLE [RS_140] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 33 [SIMPLE_EDGE] + SHUFFLE [RS_139] + PartitionCols:_col1 + Select Operator [SEL_102] (rows=144002668 width=135) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_258] (rows=144002668 width=135) + predicate:(ws_item_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_100] (rows=144002668 width=135) + default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_ext_sales_price"] + <-Reducer 17 [SIMPLE_EDGE] + SHUFFLE [RS_143] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_275] (rows=80353 width=1119) + Conds:RS_135._col1=RS_136._col0(Inner),Output:["_col0"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_135] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_8] + <-Reducer 30 [ONE_TO_ONE_EDGE] + FORWARD [RS_136] + PartitionCols:_col0 + Group By Operator [GBY_133] (rows=40176 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Reducer 29 [SIMPLE_EDGE] + SHUFFLE [RS_132] + PartitionCols:_col0 + Group By Operator [GBY_131] (rows=80353 width=1119) + Output:["_col0"],keys:_col2 + Merge Join Operator [MERGEJOIN_274] (rows=80353 width=1119) + Conds:RS_127._col1=RS_128._col1(Inner),Output:["_col2"] + <-Map 31 [SIMPLE_EDGE] + SHUFFLE [RS_128] + PartitionCols:_col1 + Select Operator [SEL_123] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_263] (rows=73049 width=1119) + predicate:(d_date is not null and d_week_seq is not null) + Please refer to the previous TableScan [TS_21] + <-Reducer 28 [SIMPLE_EDGE] + SHUFFLE [RS_127] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_273] (rows=36524 width=1128) + Conds:(Inner),Output:["_col1"] + <-Map 31 [CUSTOM_SIMPLE_EDGE] + SHUFFLE [RS_125] + Select Operator [SEL_120] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_262] (rows=36524 width=1119) + predicate:((d_date = '1998-02-19') and d_week_seq is not null) + Please refer to the previous TableScan [TS_21] + <-Reducer 27 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_124] + Select Operator [SEL_117] (rows=1 width=8) + Filter Operator [FIL_116] (rows=1 width=8) + predicate:(sq_count_check(_col0) <= 1) + Group By Operator [GBY_114] (rows=1 width=8) + Output:["_col0"],aggregations:["count(VALUE._col0)"] + <-Map 18 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_113] + Please refer to the previous Group By Operator [GBY_12] + <-Reducer 4 [ONE_TO_ONE_EDGE] + FORWARD [RS_150] + PartitionCols:_col0 + Group By Operator [GBY_48] (rows=174233858 width=135) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_47] + PartitionCols:_col0 + Group By Operator [GBY_46] (rows=348467716 width=135) + Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4 + Merge Join Operator [MERGEJOIN_276] (rows=348467716 width=135) + Conds:RS_42._col0=RS_43._col0(Inner),Output:["_col2","_col4"] + <-Reducer 15 [SIMPLE_EDGE] + SHUFFLE [RS_43] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_267] (rows=80353 width=1119) + Conds:RS_35._col1=RS_36._col0(Inner),Output:["_col0"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_35] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_8] + <-Reducer 22 [ONE_TO_ONE_EDGE] + FORWARD [RS_36] + PartitionCols:_col0 + Group By Operator [GBY_33] (rows=40176 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Reducer 21 [SIMPLE_EDGE] + SHUFFLE [RS_32] + PartitionCols:_col0 + Group By Operator [GBY_31] (rows=80353 width=1119) + Output:["_col0"],keys:_col2 + Merge Join Operator [MERGEJOIN_266] (rows=80353 width=1119) + Conds:RS_27._col1=RS_28._col1(Inner),Output:["_col2"] + <-Map 31 [SIMPLE_EDGE] + SHUFFLE [RS_28] + PartitionCols:_col1 + Select Operator [SEL_23] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_251] (rows=73049 width=1119) + predicate:(d_date is not null and d_week_seq is not null) + Please refer to the previous TableScan [TS_21] + <-Reducer 20 [SIMPLE_EDGE] + SHUFFLE [RS_27] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_265] (rows=36524 width=1128) + Conds:(Inner),Output:["_col1"] + <-Map 31 [CUSTOM_SIMPLE_EDGE] + SHUFFLE [RS_25] + Select Operator [SEL_20] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_250] (rows=36524 width=1119) + predicate:((d_date = '1998-02-19') and d_week_seq is not null) + Please refer to the previous TableScan [TS_21] + <-Reducer 19 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_24] + Select Operator [SEL_17] (rows=1 width=8) + Filter Operator [FIL_16] (rows=1 width=8) + predicate:(sq_count_check(_col0) <= 1) + Group By Operator [GBY_14] (rows=1 width=8) + Output:["_col0"],aggregations:["count(VALUE._col0)"] + <-Map 18 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_13] + Please refer to the previous Group By Operator [GBY_12] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_42] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_264] (rows=316788826 width=135) + Conds:RS_39._col1=RS_40._col0(Inner),Output:["_col0","_col2","_col4"] + <-Map 7 [SIMPLE_EDGE] + SHUFFLE [RS_40] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_39] + PartitionCols:_col1 + Select Operator [SEL_2] (rows=287989836 width=135) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_246] (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_sales_price"] +
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query59.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query59.q.out b/ql/src/test/results/clientpositive/perf/tez/query59.q.out new file mode 100644 index 0000000..37c2cc0 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query59.q.out @@ -0,0 +1,230 @@ +PREHOOK: query: explain +with wss as + (select d_week_seq, + ss_store_sk, + sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales, + sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales, + sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales, + sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales, + sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales, + sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales, + sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales + from store_sales,date_dim + where d_date_sk = ss_sold_date_sk + group by d_week_seq,ss_store_sk + ) + select s_store_name1,s_store_id1,d_week_seq1 + ,sun_sales1/sun_sales2,mon_sales1/mon_sales2 + ,tue_sales1/tue_sales1,wed_sales1/wed_sales2,thu_sales1/thu_sales2 + ,fri_sales1/fri_sales2,sat_sales1/sat_sales2 + from + (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1 + ,s_store_id s_store_id1,sun_sales sun_sales1 + ,mon_sales mon_sales1,tue_sales tue_sales1 + ,wed_sales wed_sales1,thu_sales thu_sales1 + ,fri_sales fri_sales1,sat_sales sat_sales1 + from wss,store,date_dim d + where d.d_week_seq = wss.d_week_seq and + ss_store_sk = s_store_sk and + d_month_seq between 1185 and 1185 + 11) y, + (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2 + ,s_store_id s_store_id2,sun_sales sun_sales2 + ,mon_sales mon_sales2,tue_sales tue_sales2 + ,wed_sales wed_sales2,thu_sales thu_sales2 + ,fri_sales fri_sales2,sat_sales sat_sales2 + from wss,store,date_dim d + where d.d_week_seq = wss.d_week_seq and + ss_store_sk = s_store_sk and + d_month_seq between 1185+ 12 and 1185 + 23) x + where s_store_id1=s_store_id2 + and d_week_seq1=d_week_seq2-52 + order by s_store_name1,s_store_id1,d_week_seq1 +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +with wss as + (select d_week_seq, + ss_store_sk, + sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales, + sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales, + sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales, + sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales, + sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales, + sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales, + sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales + from store_sales,date_dim + where d_date_sk = ss_sold_date_sk + group by d_week_seq,ss_store_sk + ) + select s_store_name1,s_store_id1,d_week_seq1 + ,sun_sales1/sun_sales2,mon_sales1/mon_sales2 + ,tue_sales1/tue_sales1,wed_sales1/wed_sales2,thu_sales1/thu_sales2 + ,fri_sales1/fri_sales2,sat_sales1/sat_sales2 + from + (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1 + ,s_store_id s_store_id1,sun_sales sun_sales1 + ,mon_sales mon_sales1,tue_sales tue_sales1 + ,wed_sales wed_sales1,thu_sales thu_sales1 + ,fri_sales fri_sales1,sat_sales sat_sales1 + from wss,store,date_dim d + where d.d_week_seq = wss.d_week_seq and + ss_store_sk = s_store_sk and + d_month_seq between 1185 and 1185 + 11) y, + (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2 + ,s_store_id s_store_id2,sun_sales sun_sales2 + ,mon_sales mon_sales2,tue_sales tue_sales2 + ,wed_sales wed_sales2,thu_sales thu_sales2 + ,fri_sales fri_sales2,sat_sales sat_sales2 + from wss,store,date_dim d + where d.d_week_seq = wss.d_week_seq and + ss_store_sk = s_store_sk and + d_month_seq between 1185+ 12 and 1185 + 23) x + where s_store_id1=s_store_id2 + and d_week_seq1=d_week_seq2-52 + order by s_store_name1,s_store_id1,d_week_seq1 +limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Map 13 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) +Reducer 11 <- Map 15 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE) +Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 13 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Map 14 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 11 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 6 (SIMPLE_EDGE) +Reducer 8 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE) +Reducer 9 <- Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 7 + File Output Operator [FS_63] + Limit [LIM_62] (rows=100 width=88) + Number of rows:100 + Select Operator [SEL_61] (rows=421657640 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"] + <-Reducer 6 [SIMPLE_EDGE] + SHUFFLE [RS_60] + Select Operator [SEL_59] (rows=421657640 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"] + Merge Join Operator [MERGEJOIN_104] (rows=421657640 width=88) + Conds:RS_56._col2, _col1=RS_57._col1, (_col0 - 52)(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col12","_col13","_col14","_col15","_col16","_col17"] + <-Reducer 11 [SIMPLE_EDGE] + SHUFFLE [RS_57] + PartitionCols:_col1, (_col0 - 52) + Select Operator [SEL_55] (rows=383325119 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + Merge Join Operator [MERGEJOIN_103] (rows=383325119 width=88) + Conds:RS_52._col1=RS_53._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col11"] + <-Map 15 [SIMPLE_EDGE] + SHUFFLE [RS_53] + PartitionCols:_col0 + Select Operator [SEL_48] (rows=1704 width=1910) + Output:["_col0","_col1"] + Filter Operator [FIL_97] (rows=1704 width=1910) + predicate:(s_store_id is not null and s_store_sk is not null) + TableScan [TS_46] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id"] + <-Reducer 10 [SIMPLE_EDGE] + SHUFFLE [RS_52] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_102] (rows=348477374 width=88) + Conds:RS_49._col0=RS_50._col1(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + <-Map 13 [SIMPLE_EDGE] + SHUFFLE [RS_50] + PartitionCols:_col1 + Select Operator [SEL_45] (rows=8116 width=1119) + Output:["_col1"] + Filter Operator [FIL_96] (rows=8116 width=1119) + predicate:(d_month_seq BETWEEN 1197 AND 1208 and d_week_seq is not null) + TableScan [TS_15] (rows=73049 width=1119) + default@date_dim,d,Tbl:COMPLETE,Col:NONE,Output:["d_month_seq","d_week_seq"] + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_49] + PartitionCols:_col0 + Group By Operator [GBY_41] (rows=316797606 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)"],keys:KEY._col0, KEY._col1 + <-Reducer 8 [SIMPLE_EDGE] + SHUFFLE [RS_40] + PartitionCols:_col0, _col1 + Group By Operator [GBY_39] (rows=633595212 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(_col2)","sum(_col3)","sum(_col5)","sum(_col6)","sum(_col7)","sum(_col8)"],keys:_col0, _col1 + Select Operator [SEL_37] (rows=633595212 width=88) + Output:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8"] + Merge Join Operator [MERGEJOIN_101] (rows=633595212 width=88) + Conds:RS_34._col0=RS_35._col0(Inner),Output:["_col1","_col2","_col4","_col5"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_34] + PartitionCols:_col0 + Select Operator [SEL_2] (rows=575995635 width=88) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_90] (rows=575995635 width=88) + predicate:(ss_sold_date_sk is not null and ss_store_sk is not null) + TableScan [TS_0] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_store_sk","ss_sales_price"] + <-Map 12 [SIMPLE_EDGE] + SHUFFLE [RS_35] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=73049 width=1119) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_91] (rows=73049 width=1119) + predicate:(d_date_sk is not null and d_week_seq is not null) + TableScan [TS_3] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_week_seq","d_day_name"] + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_56] + PartitionCols:_col2, _col1 + Select Operator [SEL_27] (rows=383325119 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"] + Merge Join Operator [MERGEJOIN_100] (rows=383325119 width=88) + Conds:RS_24._col1=RS_25._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col12","_col13"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_25] + PartitionCols:_col0 + Select Operator [SEL_20] (rows=1704 width=1910) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_93] (rows=1704 width=1910) + predicate:(s_store_id is not null and s_store_sk is not null) + TableScan [TS_18] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_24] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_99] (rows=348477374 width=88) + Conds:RS_21._col0=RS_22._col1(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] + <-Map 13 [SIMPLE_EDGE] + SHUFFLE [RS_22] + PartitionCols:_col1 + Select Operator [SEL_17] (rows=8116 width=1119) + Output:["_col1"] + Filter Operator [FIL_92] (rows=8116 width=1119) + predicate:(d_month_seq BETWEEN 1185 AND 1196 and d_week_seq is not null) + Please refer to the previous TableScan [TS_15] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_21] + PartitionCols:_col0 + Group By Operator [GBY_13] (rows=316797606 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)"],keys:KEY._col0, KEY._col1 + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_12] + PartitionCols:_col0, _col1 + Group By Operator [GBY_11] (rows=633595212 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)","sum(_col5)","sum(_col6)","sum(_col7)","sum(_col8)"],keys:_col0, _col1 + Select Operator [SEL_9] (rows=633595212 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] + Merge Join Operator [MERGEJOIN_98] (rows=633595212 width=88) + Conds:RS_6._col0=RS_7._col0(Inner),Output:["_col1","_col2","_col4","_col5"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_6] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_2] + <-Map 12 [SIMPLE_EDGE] + SHUFFLE [RS_7] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query6.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query6.q.out b/ql/src/test/results/clientpositive/perf/tez/query6.q.out new file mode 100644 index 0000000..f1e4758 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query6.q.out @@ -0,0 +1,226 @@ +Warning: Shuffle Join MERGEJOIN[111][tables = [$hdt$_5, $hdt$_6]] in Stage 'Reducer 12' is a cross product +PREHOOK: query: explain +select a.ca_state state, count(*) cnt + from customer_address a + ,customer c + ,store_sales s + ,date_dim d + ,item i + where a.ca_address_sk = c.c_current_addr_sk + and c.c_customer_sk = s.ss_customer_sk + and s.ss_sold_date_sk = d.d_date_sk + and s.ss_item_sk = i.i_item_sk + and d.d_month_seq = + (select distinct (d_month_seq) + from date_dim + where d_year = 2000 + and d_moy = 2 ) + and i.i_current_price > 1.2 * + (select avg(j.i_current_price) + from item j + where j.i_category = i.i_category) + group by a.ca_state + having count(*) >= 10 + order by cnt + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select a.ca_state state, count(*) cnt + from customer_address a + ,customer c + ,store_sales s + ,date_dim d + ,item i + where a.ca_address_sk = c.c_current_addr_sk + and c.c_customer_sk = s.ss_customer_sk + and s.ss_sold_date_sk = d.d_date_sk + and s.ss_item_sk = i.i_item_sk + and d.d_month_seq = + (select distinct (d_month_seq) + from date_dim + where d_year = 2000 + and d_moy = 2 ) + and i.i_current_price > 1.2 * + (select avg(j.i_current_price) + from item j + where j.i_category = i.i_category) + group by a.ca_state + having count(*) >= 10 + order by cnt + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Map 8 (SIMPLE_EDGE) +Reducer 11 <- Reducer 10 (CUSTOM_SIMPLE_EDGE) +Reducer 12 <- Reducer 11 (CUSTOM_SIMPLE_EDGE), Reducer 19 (CUSTOM_SIMPLE_EDGE) +Reducer 13 <- Map 20 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE) +Reducer 16 <- Map 15 (SIMPLE_EDGE), Map 17 (SIMPLE_EDGE) +Reducer 19 <- Map 18 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 9 (ONE_TO_ONE_EDGE) +Reducer 3 <- Map 14 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Reducer 16 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 13 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 6 (SIMPLE_EDGE) +Reducer 9 <- Map 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 7 + File Output Operator [FS_76] + Limit [LIM_75] (rows=100 width=88) + Number of rows:100 + Select Operator [SEL_74] (rows=127775039 width=88) + Output:["_col0","_col1"] + <-Reducer 6 [SIMPLE_EDGE] + SHUFFLE [RS_73] + Filter Operator [FIL_71] (rows=127775039 width=88) + predicate:(_col1 >= 10) + Group By Operator [GBY_70] (rows=383325119 width=88) + Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0 + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_69] + PartitionCols:_col0 + Group By Operator [GBY_68] (rows=766650239 width=88) + Output:["_col0","_col1"],aggregations:["count()"],keys:_col9 + Merge Join Operator [MERGEJOIN_114] (rows=766650239 width=88) + Conds:RS_64._col4=RS_65._col0(Inner),Output:["_col9"] + <-Reducer 13 [SIMPLE_EDGE] + SHUFFLE [RS_65] + PartitionCols:_col0 + Select Operator [SEL_54] (rows=169400 width=1436) + Output:["_col0"] + Filter Operator [FIL_53] (rows=169400 width=1436) + predicate:(_col5 > (1.2 * CASE WHEN (_col1 is null) THEN (null) ELSE (_col0) END)) + Merge Join Operator [MERGEJOIN_112] (rows=508200 width=1436) + Conds:RS_50._col2=RS_51._col2(Inner),Output:["_col0","_col1","_col4","_col5"] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_51] + PartitionCols:_col2 + Select Operator [SEL_46] (rows=462000 width=1436) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_107] (rows=462000 width=1436) + predicate:i_item_sk is not null + TableScan [TS_44] (rows=462000 width=1436) + default@item,i,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_current_price","i_category"] + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_50] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_111] (rows=231000 width=1445) + Conds:(Inner),Output:["_col0","_col1","_col2"] + <-Reducer 11 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_48] + Select Operator [SEL_43] (rows=1 width=8) + Filter Operator [FIL_42] (rows=1 width=8) + predicate:(sq_count_check(_col0) <= 1) + Group By Operator [GBY_40] (rows=1 width=8) + Output:["_col0"],aggregations:["count(VALUE._col0)"] + <-Reducer 10 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_39] + Group By Operator [GBY_38] (rows=1 width=8) + Output:["_col0"],aggregations:["count()"] + Select Operator [SEL_36] (rows=9131 width=1119) + Group By Operator [GBY_35] (rows=9131 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Map 8 [SIMPLE_EDGE] + SHUFFLE [RS_34] + PartitionCols:_col0 + Group By Operator [GBY_33] (rows=18262 width=1119) + Output:["_col0"],keys:d_month_seq + Select Operator [SEL_32] (rows=18262 width=1119) + Output:["d_month_seq"] + Filter Operator [FIL_106] (rows=18262 width=1119) + predicate:((d_moy = 2) and (d_year = 2000)) + TableScan [TS_3] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_month_seq","d_year","d_moy"] + <-Reducer 19 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_47] + Select Operator [SEL_29] (rows=231000 width=1436) + Output:["_col0","_col1","_col2"] + Group By Operator [GBY_28] (rows=231000 width=1436) + Output:["_col0","_col1"],aggregations:["avg(VALUE._col0)"],keys:KEY._col0 + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_27] + PartitionCols:_col0 + Group By Operator [GBY_26] (rows=462000 width=1436) + Output:["_col0","_col1"],aggregations:["avg(i_current_price)"],keys:i_category + Filter Operator [FIL_105] (rows=462000 width=1436) + predicate:i_category is not null + TableScan [TS_23] (rows=462000 width=1436) + default@item,j,Tbl:COMPLETE,Col:NONE,Output:["i_current_price","i_category"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_64] + PartitionCols:_col4 + Merge Join Operator [MERGEJOIN_113] (rows=696954748 width=88) + Conds:RS_61._col5=RS_62._col0(Inner),Output:["_col4","_col9"] + <-Reducer 16 [SIMPLE_EDGE] + SHUFFLE [RS_62] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_110] (rows=88000001 width=860) + Conds:RS_19._col1=RS_20._col0(Inner),Output:["_col0","_col3"] + <-Map 15 [SIMPLE_EDGE] + SHUFFLE [RS_19] + PartitionCols:_col1 + Select Operator [SEL_15] (rows=80000000 width=860) + Output:["_col0","_col1"] + Filter Operator [FIL_103] (rows=80000000 width=860) + predicate:(c_current_addr_sk is not null and c_customer_sk is not null) + TableScan [TS_13] (rows=80000000 width=860) + default@customer,c,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"] + <-Map 17 [SIMPLE_EDGE] + SHUFFLE [RS_20] + PartitionCols:_col0 + Select Operator [SEL_18] (rows=40000000 width=1014) + Output:["_col0","_col1"] + Filter Operator [FIL_104] (rows=40000000 width=1014) + predicate:ca_address_sk is not null + TableScan [TS_16] (rows=40000000 width=1014) + default@customer_address,a,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_61] + PartitionCols:_col5 + Merge Join Operator [MERGEJOIN_109] (rows=633595212 width=88) + Conds:RS_58._col0=RS_59._col0(Inner),Output:["_col4","_col5"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_59] + PartitionCols:_col0 + Select Operator [SEL_12] (rows=575995635 width=88) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_102] (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) + TableScan [TS_10] (rows=575995635 width=88) + default@store_sales,s,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_58] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_108] (rows=80353 width=1119) + Conds:RS_55._col1=RS_56._col0(Inner),Output:["_col0"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_55] + PartitionCols:_col1 + Select Operator [SEL_2] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_100] (rows=73049 width=1119) + predicate:(d_date_sk is not null and d_month_seq is not null) + TableScan [TS_0] (rows=73049 width=1119) + default@date_dim,d,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_month_seq"] + <-Reducer 9 [ONE_TO_ONE_EDGE] + FORWARD [RS_56] + PartitionCols:_col0 + Group By Operator [GBY_8] (rows=9131 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Map 8 [SIMPLE_EDGE] + SHUFFLE [RS_7] + PartitionCols:_col0 + Group By Operator [GBY_6] (rows=18262 width=1119) + Output:["_col0"],keys:d_month_seq + Select Operator [SEL_5] (rows=18262 width=1119) + Output:["d_month_seq"] + Filter Operator [FIL_101] (rows=18262 width=1119) + predicate:((d_moy = 2) and (d_year = 2000) and d_month_seq 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/tez/query60.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query60.q.out b/ql/src/test/results/clientpositive/perf/tez/query60.q.out new file mode 100644 index 0000000..84a9ada --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query60.q.out @@ -0,0 +1,399 @@ +PREHOOK: query: explain +with ss as ( + select + i_item_id,sum(ss_ext_sales_price) total_sales + from + store_sales, + date_dim, + customer_address, + item + where + i_item_id in (select + i_item_id +from + item +where i_category in ('Children')) + and ss_item_sk = i_item_sk + and ss_sold_date_sk = d_date_sk + and d_year = 1999 + and d_moy = 9 + and ss_addr_sk = ca_address_sk + and ca_gmt_offset = -6 + group by i_item_id), + cs as ( + select + i_item_id,sum(cs_ext_sales_price) total_sales + from + catalog_sales, + date_dim, + customer_address, + item + where + i_item_id in (select + i_item_id +from + item +where i_category in ('Children')) + and cs_item_sk = i_item_sk + and cs_sold_date_sk = d_date_sk + and d_year = 1999 + and d_moy = 9 + and cs_bill_addr_sk = ca_address_sk + and ca_gmt_offset = -6 + group by i_item_id), + ws as ( + select + i_item_id,sum(ws_ext_sales_price) total_sales + from + web_sales, + date_dim, + customer_address, + item + where + i_item_id in (select + i_item_id +from + item +where i_category in ('Children')) + and ws_item_sk = i_item_sk + and ws_sold_date_sk = d_date_sk + and d_year = 1999 + and d_moy = 9 + and ws_bill_addr_sk = ca_address_sk + and ca_gmt_offset = -6 + group by i_item_id) + select + i_item_id +,sum(total_sales) total_sales + from (select * from ss + union all + select * from cs + union all + select * from ws) tmp1 + group by i_item_id + order by i_item_id + ,total_sales + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +with ss as ( + select + i_item_id,sum(ss_ext_sales_price) total_sales + from + store_sales, + date_dim, + customer_address, + item + where + i_item_id in (select + i_item_id +from + item +where i_category in ('Children')) + and ss_item_sk = i_item_sk + and ss_sold_date_sk = d_date_sk + and d_year = 1999 + and d_moy = 9 + and ss_addr_sk = ca_address_sk + and ca_gmt_offset = -6 + group by i_item_id), + cs as ( + select + i_item_id,sum(cs_ext_sales_price) total_sales + from + catalog_sales, + date_dim, + customer_address, + item + where + i_item_id in (select + i_item_id +from + item +where i_category in ('Children')) + and cs_item_sk = i_item_sk + and cs_sold_date_sk = d_date_sk + and d_year = 1999 + and d_moy = 9 + and cs_bill_addr_sk = ca_address_sk + and ca_gmt_offset = -6 + group by i_item_id), + ws as ( + select + i_item_id,sum(ws_ext_sales_price) total_sales + from + web_sales, + date_dim, + customer_address, + item + where + i_item_id in (select + i_item_id +from + item +where i_category in ('Children')) + and ws_item_sk = i_item_sk + and ws_sold_date_sk = d_date_sk + and d_year = 1999 + and d_moy = 9 + and ws_bill_addr_sk = ca_address_sk + and ca_gmt_offset = -6 + group by i_item_id) + select + i_item_id +,sum(total_sales) total_sales + from (select * from ss + union all + select * from cs + union all + select * from ws) tmp1 + group by i_item_id + order by i_item_id + ,total_sales + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Reducer 9 (SIMPLE_EDGE), Union 5 (CONTAINS) +Reducer 11 <- Map 1 (SIMPLE_EDGE), Reducer 17 (ONE_TO_ONE_EDGE) +Reducer 12 <- Reducer 11 (SIMPLE_EDGE), Reducer 25 (SIMPLE_EDGE) +Reducer 13 <- Reducer 12 (SIMPLE_EDGE), Union 5 (CONTAINS) +Reducer 15 <- Map 14 (SIMPLE_EDGE) +Reducer 16 <- Map 14 (SIMPLE_EDGE) +Reducer 17 <- Map 14 (SIMPLE_EDGE) +Reducer 19 <- Map 18 (SIMPLE_EDGE), Map 21 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 15 (ONE_TO_ONE_EDGE) +Reducer 20 <- Map 26 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE) +Reducer 22 <- Map 21 (SIMPLE_EDGE), Map 27 (SIMPLE_EDGE) +Reducer 23 <- Map 26 (SIMPLE_EDGE), Reducer 22 (SIMPLE_EDGE) +Reducer 24 <- Map 21 (SIMPLE_EDGE), Map 28 (SIMPLE_EDGE) +Reducer 25 <- Map 26 (SIMPLE_EDGE), Reducer 24 (SIMPLE_EDGE) +Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE) +Reducer 4 <- Reducer 3 (SIMPLE_EDGE), Union 5 (CONTAINS) +Reducer 6 <- Union 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 6 (SIMPLE_EDGE) +Reducer 8 <- Map 1 (SIMPLE_EDGE), Reducer 16 (ONE_TO_ONE_EDGE) +Reducer 9 <- Reducer 23 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 7 + File Output Operator [FS_121] + Limit [LIM_120] (rows=100 width=108) + Number of rows:100 + Select Operator [SEL_119] (rows=335408073 width=108) + Output:["_col0","_col1"] + <-Reducer 6 [SIMPLE_EDGE] + SHUFFLE [RS_118] + Group By Operator [GBY_116] (rows=335408073 width=108) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Union 5 [SIMPLE_EDGE] + <-Reducer 10 [CONTAINS] + Reduce Output Operator [RS_115] + PartitionCols:_col0 + Group By Operator [GBY_114] (rows=670816147 width=108) + Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 + Group By Operator [GBY_72] (rows=191657247 width=135) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_71] + PartitionCols:_col0 + Group By Operator [GBY_70] (rows=383314495 width=135) + Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1 + Merge Join Operator [MERGEJOIN_183] (rows=383314495 width=135) + Conds:RS_66._col0=RS_67._col4(Inner),Output:["_col1","_col8"] + <-Reducer 23 [SIMPLE_EDGE] + SHUFFLE [RS_67] + PartitionCols:_col4 + Select Operator [SEL_62] (rows=348467716 width=135) + Output:["_col4","_col5"] + Merge Join Operator [MERGEJOIN_178] (rows=348467716 width=135) + Conds:RS_59._col1=RS_60._col0(Inner),Output:["_col2","_col3"] + <-Map 26 [SIMPLE_EDGE] + SHUFFLE [RS_60] + PartitionCols:_col0 + Select Operator [SEL_18] (rows=20000000 width=1014) + Output:["_col0"] + Filter Operator [FIL_162] (rows=20000000 width=1014) + predicate:((ca_gmt_offset = -6) and ca_address_sk is not null) + TableScan [TS_16] (rows=40000000 width=1014) + default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_gmt_offset"] + <-Reducer 22 [SIMPLE_EDGE] + SHUFFLE [RS_59] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_177] (rows=316788826 width=135) + Conds:RS_56._col0=RS_57._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_57] + PartitionCols:_col0 + Select Operator [SEL_15] (rows=18262 width=1119) + Output:["_col0"] + Filter Operator [FIL_161] (rows=18262 width=1119) + predicate:((d_moy = 9) and (d_year = 1999) and d_date_sk is not null) + TableScan [TS_13] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] + <-Map 27 [SIMPLE_EDGE] + SHUFFLE [RS_56] + PartitionCols:_col0 + Select Operator [SEL_49] (rows=287989836 width=135) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_165] (rows=287989836 width=135) + predicate:(cs_bill_addr_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_47] (rows=287989836 width=135) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_addr_sk","cs_item_sk","cs_ext_sales_price"] + <-Reducer 8 [SIMPLE_EDGE] + SHUFFLE [RS_66] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_176] (rows=508200 width=1436) + Conds:RS_63._col1=RS_64._col0(Inner),Output:["_col0","_col1"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_63] + PartitionCols:_col1 + Select Operator [SEL_2] (rows=462000 width=1436) + Output:["_col0","_col1"] + Filter Operator [FIL_158] (rows=462000 width=1436) + predicate:(i_item_id is not null and i_item_sk is not null) + TableScan [TS_0] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"] + <-Reducer 16 [ONE_TO_ONE_EDGE] + FORWARD [RS_64] + PartitionCols:_col0 + Group By Operator [GBY_45] (rows=115500 width=1436) + Output:["_col0"],keys:KEY._col0 + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_44] + PartitionCols:_col0 + Group By Operator [GBY_6] (rows=231000 width=1436) + Output:["_col0"],keys:i_item_id + Select Operator [SEL_5] (rows=231000 width=1436) + Output:["i_item_id"] + Filter Operator [FIL_159] (rows=231000 width=1436) + predicate:((i_category) IN ('Children') and i_item_id is not null) + TableScan [TS_3] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_id","i_category"] + <-Reducer 13 [CONTAINS] + Reduce Output Operator [RS_115] + PartitionCols:_col0 + Group By Operator [GBY_114] (rows=670816147 width=108) + Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 + Group By Operator [GBY_110] (rows=95833781 width=135) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_109] + PartitionCols:_col0 + Group By Operator [GBY_108] (rows=191667562 width=135) + Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1 + Merge Join Operator [MERGEJOIN_184] (rows=191667562 width=135) + Conds:RS_104._col0=RS_105._col3(Inner),Output:["_col1","_col8"] + <-Reducer 11 [SIMPLE_EDGE] + SHUFFLE [RS_104] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_179] (rows=508200 width=1436) + Conds:RS_101._col1=RS_102._col0(Inner),Output:["_col0","_col1"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_101] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_2] + <-Reducer 17 [ONE_TO_ONE_EDGE] + FORWARD [RS_102] + PartitionCols:_col0 + Group By Operator [GBY_83] (rows=115500 width=1436) + Output:["_col0"],keys:KEY._col0 + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_82] + PartitionCols:_col0 + Please refer to the previous Group By Operator [GBY_6] + <-Reducer 25 [SIMPLE_EDGE] + SHUFFLE [RS_105] + PartitionCols:_col3 + Select Operator [SEL_100] (rows=174243235 width=135) + Output:["_col3","_col5"] + Merge Join Operator [MERGEJOIN_181] (rows=174243235 width=135) + Conds:RS_97._col2=RS_98._col0(Inner),Output:["_col1","_col3"] + <-Map 26 [SIMPLE_EDGE] + SHUFFLE [RS_98] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_18] + <-Reducer 24 [SIMPLE_EDGE] + SHUFFLE [RS_97] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_180] (rows=158402938 width=135) + Conds:RS_94._col0=RS_95._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_95] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_15] + <-Map 28 [SIMPLE_EDGE] + SHUFFLE [RS_94] + PartitionCols:_col0 + Select Operator [SEL_87] (rows=144002668 width=135) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_170] (rows=144002668 width=135) + predicate:(ws_bill_addr_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_85] (rows=144002668 width=135) + default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_bill_addr_sk","ws_ext_sales_price"] + <-Reducer 4 [CONTAINS] + Reduce Output Operator [RS_115] + PartitionCols:_col0 + Group By Operator [GBY_114] (rows=670816147 width=108) + Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 + Group By Operator [GBY_35] (rows=383325119 width=88) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_34] + PartitionCols:_col0 + Group By Operator [GBY_33] (rows=766650239 width=88) + Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1 + Merge Join Operator [MERGEJOIN_182] (rows=766650239 width=88) + Conds:RS_29._col0=RS_30._col3(Inner),Output:["_col1","_col8"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_29] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_173] (rows=508200 width=1436) + Conds:RS_26._col1=RS_27._col0(Inner),Output:["_col0","_col1"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_26] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_2] + <-Reducer 15 [ONE_TO_ONE_EDGE] + FORWARD [RS_27] + PartitionCols:_col0 + Group By Operator [GBY_8] (rows=115500 width=1436) + Output:["_col0"],keys:KEY._col0 + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_7] + PartitionCols:_col0 + Please refer to the previous Group By Operator [GBY_6] + <-Reducer 20 [SIMPLE_EDGE] + SHUFFLE [RS_30] + PartitionCols:_col3 + Select Operator [SEL_25] (rows=696954748 width=88) + Output:["_col3","_col5"] + Merge Join Operator [MERGEJOIN_175] (rows=696954748 width=88) + Conds:RS_22._col2=RS_23._col0(Inner),Output:["_col1","_col3"] + <-Map 26 [SIMPLE_EDGE] + SHUFFLE [RS_23] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_18] + <-Reducer 19 [SIMPLE_EDGE] + SHUFFLE [RS_22] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_174] (rows=633595212 width=88) + Conds:RS_19._col0=RS_20._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_20] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_15] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_19] + PartitionCols:_col0 + Select Operator [SEL_12] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_160] (rows=575995635 width=88) + predicate:(ss_addr_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_10] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_addr_sk","ss_ext_sales_price"] +
