http://git-wip-us.apache.org/repos/asf/hive/blob/5553c59e/ql/src/test/results/clientpositive/perf/tez/constraints/query54.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query54.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query54.q.out index 21193d6..eed94ae 100644 --- a/ql/src/test/results/clientpositive/perf/tez/constraints/query54.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query54.q.out @@ -1,7 +1,7 @@ -Warning: Shuffle Join MERGEJOIN[264][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 2' is a cross product -Warning: Shuffle Join MERGEJOIN[273][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4]] in Stage 'Reducer 5' is a cross product -Warning: Shuffle Join MERGEJOIN[272][tables = [$hdt$_1, $hdt$_2]] in Stage 'Reducer 14' is a cross product -Warning: Shuffle Join MERGEJOIN[274][tables = [$hdt$_1, $hdt$_2, $hdt$_0]] in Stage 'Reducer 6' is a cross product +Warning: Shuffle Join MERGEJOIN[269][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 2' is a cross product +Warning: Shuffle Join MERGEJOIN[278][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5]] in Stage 'Reducer 6' is a cross product +Warning: Shuffle Join MERGEJOIN[277][tables = [$hdt$_1, $hdt$_2]] in Stage 'Reducer 15' is a cross product +Warning: Shuffle Join MERGEJOIN[279][tables = [$hdt$_1, $hdt$_2, $hdt$_0]] in Stage 'Reducer 7' is a cross product PREHOOK: query: explain with my_customers as ( select distinct c_customer_sk @@ -133,30 +133,30 @@ POSTHOOK: Output: hdfs://### HDFS PATH ### Plan optimized by CBO. Vertex dependency in root stage -Map 1 <- Reducer 21 (BROADCAST_EDGE) -Map 23 <- Reducer 31 (BROADCAST_EDGE), Reducer 33 (BROADCAST_EDGE), Union 24 (CONTAINS) -Map 29 <- Reducer 31 (BROADCAST_EDGE), Reducer 33 (BROADCAST_EDGE), Union 24 (CONTAINS) -Reducer 11 <- Map 10 (SIMPLE_EDGE) -Reducer 12 <- Reducer 11 (CUSTOM_SIMPLE_EDGE) -Reducer 13 <- Map 10 (SIMPLE_EDGE) -Reducer 14 <- Reducer 13 (CUSTOM_SIMPLE_EDGE), Reducer 16 (CUSTOM_SIMPLE_EDGE) -Reducer 15 <- Map 10 (SIMPLE_EDGE) -Reducer 16 <- Reducer 15 (CUSTOM_SIMPLE_EDGE) -Reducer 19 <- Map 18 (SIMPLE_EDGE), Map 22 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE), Reducer 12 (CUSTOM_SIMPLE_EDGE) -Reducer 20 <- Reducer 19 (SIMPLE_EDGE), Reducer 28 (SIMPLE_EDGE) -Reducer 21 <- Reducer 20 (CUSTOM_SIMPLE_EDGE) -Reducer 25 <- Map 30 (SIMPLE_EDGE), Union 24 (SIMPLE_EDGE) -Reducer 26 <- Map 32 (SIMPLE_EDGE), Reducer 25 (SIMPLE_EDGE) -Reducer 27 <- Map 34 (SIMPLE_EDGE), Reducer 26 (SIMPLE_EDGE) -Reducer 28 <- Reducer 27 (SIMPLE_EDGE) -Reducer 3 <- Map 17 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 31 <- Map 30 (CUSTOM_SIMPLE_EDGE) -Reducer 33 <- Map 32 (CUSTOM_SIMPLE_EDGE) -Reducer 4 <- Reducer 20 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 11 (CUSTOM_SIMPLE_EDGE), Reducer 4 (CUSTOM_SIMPLE_EDGE) -Reducer 6 <- Reducer 14 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (SIMPLE_EDGE) +Map 1 <- Reducer 24 (BROADCAST_EDGE) +Map 18 <- Reducer 27 (BROADCAST_EDGE), Reducer 29 (BROADCAST_EDGE), Union 19 (CONTAINS) +Map 25 <- Reducer 27 (BROADCAST_EDGE), Reducer 29 (BROADCAST_EDGE), Union 19 (CONTAINS) +Reducer 10 <- Reducer 9 (SIMPLE_EDGE) +Reducer 12 <- Map 11 (SIMPLE_EDGE) +Reducer 13 <- Reducer 12 (CUSTOM_SIMPLE_EDGE) +Reducer 14 <- Map 11 (SIMPLE_EDGE) +Reducer 15 <- Reducer 14 (CUSTOM_SIMPLE_EDGE), Reducer 17 (CUSTOM_SIMPLE_EDGE) +Reducer 16 <- Map 11 (SIMPLE_EDGE) +Reducer 17 <- Reducer 16 (CUSTOM_SIMPLE_EDGE) +Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE), Reducer 13 (CUSTOM_SIMPLE_EDGE) +Reducer 20 <- Map 26 (SIMPLE_EDGE), Union 19 (SIMPLE_EDGE) +Reducer 21 <- Map 28 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE) +Reducer 22 <- Map 30 (SIMPLE_EDGE), Reducer 21 (SIMPLE_EDGE) +Reducer 23 <- Reducer 22 (SIMPLE_EDGE) +Reducer 24 <- Reducer 23 (CUSTOM_SIMPLE_EDGE) +Reducer 27 <- Map 26 (CUSTOM_SIMPLE_EDGE) +Reducer 29 <- Map 28 (CUSTOM_SIMPLE_EDGE) +Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 23 (SIMPLE_EDGE) +Reducer 33 <- Map 32 (SIMPLE_EDGE), Map 34 (SIMPLE_EDGE) +Reducer 4 <- Map 31 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 33 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 12 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE) +Reducer 7 <- Reducer 15 (CUSTOM_SIMPLE_EDGE), Reducer 6 (CUSTOM_SIMPLE_EDGE) Reducer 8 <- Reducer 7 (SIMPLE_EDGE) Reducer 9 <- Reducer 8 (SIMPLE_EDGE) @@ -164,28 +164,28 @@ Stage-0 Fetch Operator limit:100 Stage-1 - Reducer 9 vectorized - File Output Operator [FS_354] - Limit [LIM_353] (rows=1 width=16) + Reducer 10 vectorized + File Output Operator [FS_361] + Limit [LIM_360] (rows=1 width=16) Number of rows:100 - Select Operator [SEL_352] (rows=1 width=16) + Select Operator [SEL_359] (rows=1 width=16) Output:["_col0","_col1","_col2"] - <-Reducer 8 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_351] - Select Operator [SEL_350] (rows=1 width=16) + <-Reducer 9 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_358] + Select Operator [SEL_357] (rows=1 width=16) Output:["_col0","_col1","_col2"] - Group By Operator [GBY_349] (rows=1 width=12) + Group By Operator [GBY_356] (rows=1 width=12) Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0 - <-Reducer 7 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_348] + <-Reducer 8 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_355] PartitionCols:_col0 - Group By Operator [GBY_347] (rows=1 width=12) + Group By Operator [GBY_354] (rows=1 width=12) Output:["_col0","_col1"],aggregations:["count()"],keys:_col0 - Select Operator [SEL_346] (rows=1 width=116) + Select Operator [SEL_353] (rows=1 width=116) Output:["_col0"] - Group By Operator [GBY_345] (rows=1 width=116) + Group By Operator [GBY_352] (rows=1 width=116) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 6 [SIMPLE_EDGE] + <-Reducer 7 [SIMPLE_EDGE] SHUFFLE [RS_118] PartitionCols:_col0 Group By Operator [GBY_117] (rows=312 width=116) @@ -196,244 +196,242 @@ Stage-0 predicate:_col2 BETWEEN _col3 AND _col4 Select Operator [SEL_114] (rows=5618315000 width=127) Output:["_col0","_col1","_col2","_col3","_col4"] - Merge Join Operator [MERGEJOIN_274] (rows=5618315000 width=127) + Merge Join Operator [MERGEJOIN_279] (rows=5618315000 width=127) Conds:(Inner),Output:["_col0","_col2","_col6","_col13","_col15"] - <-Reducer 14 [CUSTOM_SIMPLE_EDGE] + <-Reducer 15 [CUSTOM_SIMPLE_EDGE] PARTITION_ONLY_SHUFFLE [RS_111] - Merge Join Operator [MERGEJOIN_272] (rows=25 width=4) + Merge Join Operator [MERGEJOIN_277] (rows=25 width=4) Conds:(Right Outer),Output:["_col0"] - <-Reducer 13 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_336] - Group By Operator [GBY_335] (rows=25 width=4) + <-Reducer 14 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_343] + Group By Operator [GBY_342] (rows=25 width=4) Output:["_col0"],keys:KEY._col0 - <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_322] + <-Map 11 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_323] PartitionCols:_col0 - Group By Operator [GBY_319] (rows=25 width=4) + Group By Operator [GBY_320] (rows=25 width=4) Output:["_col0"],keys:_col0 - Select Operator [SEL_316] (rows=50 width=12) + Select Operator [SEL_317] (rows=50 width=12) Output:["_col0"] - Filter Operator [FIL_314] (rows=50 width=12) + Filter Operator [FIL_315] (rows=50 width=12) predicate:((d_moy = 3) and (d_year = 1999)) TableScan [TS_26] (rows=73049 width=12) default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_month_seq","d_year","d_moy"] - <-Reducer 16 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_344] - Select Operator [SEL_343] (rows=1 width=8) - Filter Operator [FIL_342] (rows=1 width=8) + <-Reducer 17 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_351] + Select Operator [SEL_350] (rows=1 width=8) + Filter Operator [FIL_349] (rows=1 width=8) predicate:(sq_count_check(_col0) <= 1) - Group By Operator [GBY_341] (rows=1 width=8) + Group By Operator [GBY_348] (rows=1 width=8) Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 15 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_340] - Group By Operator [GBY_339] (rows=1 width=8) + <-Reducer 16 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_347] + Group By Operator [GBY_346] (rows=1 width=8) Output:["_col0"],aggregations:["count()"] - Select Operator [SEL_338] (rows=25 width=4) - Group By Operator [GBY_337] (rows=25 width=4) + Select Operator [SEL_345] (rows=25 width=4) + Group By Operator [GBY_344] (rows=25 width=4) Output:["_col0"],keys:KEY._col0 - <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_323] + <-Map 11 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_324] PartitionCols:_col0 - Group By Operator [GBY_320] (rows=25 width=4) + Group By Operator [GBY_321] (rows=25 width=4) Output:["_col0"],keys:_col0 - Select Operator [SEL_317] (rows=50 width=12) + Select Operator [SEL_318] (rows=50 width=12) Output:["_col0"] - Please refer to the previous Filter Operator [FIL_314] - <-Reducer 5 [CUSTOM_SIMPLE_EDGE] + Please refer to the previous Filter Operator [FIL_315] + <-Reducer 6 [CUSTOM_SIMPLE_EDGE] PARTITION_ONLY_SHUFFLE [RS_112] Select Operator [SEL_107] (rows=224732600 width=119) Output:["_col0","_col4","_col11","_col13"] - Merge Join Operator [MERGEJOIN_273] (rows=224732600 width=119) - Conds:(Left Outer),Output:["_col2","_col5","_col11","_col13"] - <-Reducer 11 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_326] - Group By Operator [GBY_324] (rows=25 width=4) + Merge Join Operator [MERGEJOIN_278] (rows=224732600 width=119) + Conds:(Left Outer),Output:["_col2","_col4","_col7","_col13"] + <-Reducer 12 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_327] + Group By Operator [GBY_325] (rows=25 width=4) Output:["_col0"],keys:KEY._col0 - <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_321] + <-Map 11 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_322] PartitionCols:_col0 - Group By Operator [GBY_318] (rows=25 width=4) + Group By Operator [GBY_319] (rows=25 width=4) Output:["_col0"],keys:_col0 - Select Operator [SEL_315] (rows=50 width=12) + Select Operator [SEL_316] (rows=50 width=12) Output:["_col0"] - Please refer to the previous Filter Operator [FIL_314] - <-Reducer 4 [CUSTOM_SIMPLE_EDGE] + Please refer to the previous Filter Operator [FIL_315] + <-Reducer 5 [CUSTOM_SIMPLE_EDGE] PARTITION_ONLY_SHUFFLE [RS_104] - Merge Join Operator [MERGEJOIN_271] (rows=8989304 width=8) - Conds:RS_101._col1=RS_102._col5(Inner),Output:["_col2","_col5","_col11"] - <-Reducer 20 [SIMPLE_EDGE] + Merge Join Operator [MERGEJOIN_276] (rows=8989304 width=8) + Conds:RS_101._col5=RS_102._col0(Inner),Output:["_col2","_col4","_col7"] + <-Reducer 33 [SIMPLE_EDGE] SHUFFLE [RS_102] - PartitionCols:_col5 - Merge Join Operator [MERGEJOIN_270] (rows=55046 width=4) - Conds:RS_83._col0=RS_308._col1(Inner),Output:["_col5"] - <-Reducer 19 [SIMPLE_EDGE] - SHUFFLE [RS_83] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_266] (rows=39720279 width=4) - Conds:RS_287._col1, _col2=RS_290._col0, _col1(Inner),Output:["_col0"] - <-Map 18 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_287] - PartitionCols:_col1, _col2 - Select Operator [SEL_286] (rows=40000000 width=188) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_285] (rows=40000000 width=188) - predicate:(ca_county is not null and ca_state is not null) - TableScan [TS_43] (rows=40000000 width=188) - default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_county","ca_state"] - <-Map 22 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_290] - PartitionCols:_col0, _col1 - Select Operator [SEL_289] (rows=1704 width=184) - Output:["_col0","_col1"] - Filter Operator [FIL_288] (rows=1704 width=184) - predicate:(s_county is not null and s_state is not null) - TableScan [TS_46] (rows=1704 width=184) - default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_county","s_state"] - <-Reducer 28 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_308] - PartitionCols:_col1 - Select Operator [SEL_307] (rows=55046 width=8) + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_275] (rows=39720279 width=4) + Conds:RS_338._col1, _col2=RS_341._col0, _col1(Inner),Output:["_col0"] + <-Map 32 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_338] + PartitionCols:_col1, _col2 + Select Operator [SEL_337] (rows=40000000 width=188) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_336] (rows=40000000 width=188) + predicate:(ca_county is not null and ca_state is not null) + TableScan [TS_74] (rows=40000000 width=188) + default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_county","ca_state"] + <-Map 34 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_341] + PartitionCols:_col0, _col1 + Select Operator [SEL_340] (rows=1704 width=184) Output:["_col0","_col1"] - Group By Operator [GBY_306] (rows=55046 width=8) - Output:["_col0","_col1"],keys:KEY._col0, KEY._col1 - <-Reducer 27 [SIMPLE_EDGE] - SHUFFLE [RS_77] - PartitionCols:_col0, _col1 - Group By Operator [GBY_76] (rows=55046 width=8) - Output:["_col0","_col1"],keys:_col6, _col5 - Merge Join Operator [MERGEJOIN_269] (rows=110092 width=8) - Conds:RS_72._col1=RS_305._col0(Inner),Output:["_col5","_col6"] - <-Map 34 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_305] - PartitionCols:_col0 - Select Operator [SEL_304] (rows=80000000 width=8) - Output:["_col0","_col1"] - Filter Operator [FIL_303] (rows=80000000 width=8) - predicate:c_current_addr_sk is not null - TableScan [TS_63] (rows=80000000 width=8) - default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_current_addr_sk"] - <-Reducer 26 [SIMPLE_EDGE] - SHUFFLE [RS_72] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_268] (rows=110092 width=0) - Conds:RS_69._col2=RS_299._col0(Inner),Output:["_col1"] - <-Map 32 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_299] - PartitionCols:_col0 - Select Operator [SEL_298] (rows=453 width=4) - Output:["_col0"] - Filter Operator [FIL_297] (rows=453 width=186) - predicate:((i_category = 'Jewelry') and (i_class = 'consignment')) - TableScan [TS_60] (rows=462000 width=186) - default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_class","i_category"] - <-Reducer 25 [SIMPLE_EDGE] - SHUFFLE [RS_69] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_267] (rows=11665117 width=7) - Conds:Union 24._col0=RS_293._col0(Inner),Output:["_col1","_col2"] - <-Map 30 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_293] - PartitionCols:_col0 - Select Operator [SEL_292] (rows=50 width=4) - Output:["_col0"] - Filter Operator [FIL_291] (rows=50 width=12) - predicate:((d_moy = 3) and (d_year = 1999)) - TableScan [TS_57] (rows=73049 width=12) - default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year","d_moy"] - <-Union 24 [SIMPLE_EDGE] - <-Map 23 [CONTAINS] vectorized - Reduce Output Operator [RS_363] - PartitionCols:_col0 - Select Operator [SEL_362] (rows=285117831 width=11) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_361] (rows=285117831 width=11) - predicate:((cs_item_sk BETWEEN DynamicValue(RS_70_item_i_item_sk_min) AND DynamicValue(RS_70_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_70_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_67_date_dim_d_date_sk_min) AND DynamicValue(RS_67_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_67_date_dim_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_275] (rows=287989836 width=11) - Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk"] - <-Reducer 31 [BROADCAST_EDGE] vectorized - BROADCAST [RS_356] - Group By Operator [GBY_355] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 30 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_296] - Group By Operator [GBY_295] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_294] (rows=50 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_292] - <-Reducer 33 [BROADCAST_EDGE] vectorized - BROADCAST [RS_359] - Group By Operator [GBY_358] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 32 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_302] - Group By Operator [GBY_301] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_300] (rows=453 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_298] - <-Map 29 [CONTAINS] vectorized - Reduce Output Operator [RS_366] - PartitionCols:_col0 - Select Operator [SEL_365] (rows=143930993 width=11) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_364] (rows=143930993 width=11) - predicate:((ws_item_sk BETWEEN DynamicValue(RS_70_item_i_item_sk_min) AND DynamicValue(RS_70_item_i_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_70_item_i_item_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_67_date_dim_d_date_sk_min) AND DynamicValue(RS_67_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_67_date_dim_d_date_sk_bloom_filter))) and ws_bill_customer_sk is not null and ws_sold_date_sk is not null) - TableScan [TS_280] (rows=144002668 width=11) - Output:["ws_sold_date_sk","ws_item_sk","ws_bill_customer_sk"] - <-Reducer 31 [BROADCAST_EDGE] vectorized - BROADCAST [RS_357] - Please refer to the previous Group By Operator [GBY_355] - <-Reducer 33 [BROADCAST_EDGE] vectorized - BROADCAST [RS_360] - Please refer to the previous Group By Operator [GBY_358] - <-Reducer 3 [SIMPLE_EDGE] + Filter Operator [FIL_339] (rows=1704 width=184) + predicate:(s_county is not null and s_state is not null) + TableScan [TS_77] (rows=1704 width=184) + default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_county","s_state"] + <-Reducer 4 [SIMPLE_EDGE] SHUFFLE [RS_101] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_265] (rows=525327388 width=114) - Conds:RS_98._col0=RS_334._col0(Inner),Output:["_col1","_col2","_col5"] - <-Map 17 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_334] + PartitionCols:_col5 + Merge Join Operator [MERGEJOIN_274] (rows=8989304 width=12) + Conds:RS_98._col0=RS_335._col0(Inner),Output:["_col2","_col4","_col5","_col7"] + <-Map 31 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_335] PartitionCols:_col0 - Select Operator [SEL_333] (rows=73049 width=8) + Select Operator [SEL_334] (rows=73049 width=8) Output:["_col0","_col1"] - TableScan [TS_41] (rows=73049 width=8) + TableScan [TS_72] (rows=73049 width=8) default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_month_seq"] - <-Reducer 2 [SIMPLE_EDGE] + <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_98] PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_264] (rows=525327388 width=114) - Conds:(Inner),Output:["_col0","_col1","_col2"] - <-Map 1 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_313] - Select Operator [SEL_312] (rows=525327388 width=114) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_311] (rows=525327388 width=114) - predicate:((ss_customer_sk BETWEEN DynamicValue(RS_102_customer_c_customer_sk_min) AND DynamicValue(RS_102_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_102_customer_c_customer_sk_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null) - TableScan [TS_23] (rows=575995635 width=114) - default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_customer_sk","ss_ext_sales_price"] - <-Reducer 21 [BROADCAST_EDGE] vectorized - BROADCAST [RS_310] - Group By Operator [GBY_309] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Reducer 20 [CUSTOM_SIMPLE_EDGE] - SHUFFLE [RS_184] - Group By Operator [GBY_183] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_182] (rows=55046 width=8) + Merge Join Operator [MERGEJOIN_273] (rows=8989304 width=8) + Conds:RS_95._col1=RS_306._col0(Inner),Output:["_col0","_col2","_col4","_col5"] + <-Reducer 23 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_306] + PartitionCols:_col0 + Group By Operator [GBY_305] (rows=55046 width=8) + Output:["_col0","_col1"],keys:KEY._col0, KEY._col1 + <-Reducer 22 [SIMPLE_EDGE] + SHUFFLE [RS_69] + PartitionCols:_col0, _col1 + Group By Operator [GBY_68] (rows=55046 width=8) + Output:["_col0","_col1"],keys:_col5, _col6 + Merge Join Operator [MERGEJOIN_272] (rows=110092 width=8) + Conds:RS_64._col1=RS_304._col0(Inner),Output:["_col5","_col6"] + <-Map 30 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_304] + PartitionCols:_col0 + Select Operator [SEL_303] (rows=80000000 width=8) + Output:["_col0","_col1"] + Filter Operator [FIL_302] (rows=80000000 width=8) + predicate:c_current_addr_sk is not null + TableScan [TS_55] (rows=80000000 width=8) + default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_current_addr_sk"] + <-Reducer 21 [SIMPLE_EDGE] + SHUFFLE [RS_64] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_271] (rows=110092 width=0) + Conds:RS_61._col2=RS_298._col0(Inner),Output:["_col1"] + <-Map 28 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_298] + PartitionCols:_col0 + Select Operator [SEL_297] (rows=453 width=4) Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_270] - <-Reducer 12 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_332] - Select Operator [SEL_331] (rows=1 width=8) - Filter Operator [FIL_330] (rows=1 width=8) - predicate:(sq_count_check(_col0) <= 1) - Group By Operator [GBY_329] (rows=1 width=8) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 11 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_328] - Group By Operator [GBY_327] (rows=1 width=8) - Output:["_col0"],aggregations:["count()"] - Select Operator [SEL_325] (rows=25 width=4) - Please refer to the previous Group By Operator [GBY_324] + Filter Operator [FIL_296] (rows=453 width=186) + predicate:((i_category = 'Jewelry') and (i_class = 'consignment')) + TableScan [TS_52] (rows=462000 width=186) + default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_class","i_category"] + <-Reducer 20 [SIMPLE_EDGE] + SHUFFLE [RS_61] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_270] (rows=11665117 width=7) + Conds:Union 19._col0=RS_292._col0(Inner),Output:["_col1","_col2"] + <-Map 26 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_292] + PartitionCols:_col0 + Select Operator [SEL_291] (rows=50 width=4) + Output:["_col0"] + Filter Operator [FIL_290] (rows=50 width=12) + predicate:((d_moy = 3) and (d_year = 1999)) + TableScan [TS_49] (rows=73049 width=12) + default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year","d_moy"] + <-Union 19 [SIMPLE_EDGE] + <-Map 18 [CONTAINS] vectorized + Reduce Output Operator [RS_370] + PartitionCols:_col0 + Select Operator [SEL_369] (rows=285117831 width=11) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_368] (rows=285117831 width=11) + predicate:((cs_item_sk BETWEEN DynamicValue(RS_62_item_i_item_sk_min) AND DynamicValue(RS_62_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_62_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_59_date_dim_d_date_sk_min) AND DynamicValue(RS_59_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_59_date_dim_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_280] (rows=287989836 width=11) + Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk"] + <-Reducer 27 [BROADCAST_EDGE] vectorized + BROADCAST [RS_363] + Group By Operator [GBY_362] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 26 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_295] + Group By Operator [GBY_294] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_293] (rows=50 width=4) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_291] + <-Reducer 29 [BROADCAST_EDGE] vectorized + BROADCAST [RS_366] + Group By Operator [GBY_365] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 28 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_301] + Group By Operator [GBY_300] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_299] (rows=453 width=4) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_297] + <-Map 25 [CONTAINS] vectorized + Reduce Output Operator [RS_373] + PartitionCols:_col0 + Select Operator [SEL_372] (rows=143930993 width=11) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_371] (rows=143930993 width=11) + predicate:((ws_item_sk BETWEEN DynamicValue(RS_62_item_i_item_sk_min) AND DynamicValue(RS_62_item_i_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_62_item_i_item_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_59_date_dim_d_date_sk_min) AND DynamicValue(RS_59_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_59_date_dim_d_date_sk_bloom_filter))) and ws_bill_customer_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_285] (rows=144002668 width=11) + Output:["ws_sold_date_sk","ws_item_sk","ws_bill_customer_sk"] + <-Reducer 27 [BROADCAST_EDGE] vectorized + BROADCAST [RS_364] + Please refer to the previous Group By Operator [GBY_362] + <-Reducer 29 [BROADCAST_EDGE] vectorized + BROADCAST [RS_367] + Please refer to the previous Group By Operator [GBY_365] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_95] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_269] (rows=525327388 width=114) + Conds:(Inner),Output:["_col0","_col1","_col2"] + <-Map 1 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_314] + Select Operator [SEL_313] (rows=525327388 width=114) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_312] (rows=525327388 width=114) + predicate:((ss_customer_sk BETWEEN DynamicValue(RS_96_customer_c_customer_sk_min) AND DynamicValue(RS_96_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_96_customer_c_customer_sk_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_23] (rows=575995635 width=114) + default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_customer_sk","ss_ext_sales_price"] + <-Reducer 24 [BROADCAST_EDGE] vectorized + BROADCAST [RS_311] + Group By Operator [GBY_310] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Reducer 23 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_309] + Group By Operator [GBY_308] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_307] (rows=55046 width=4) + Output:["_col0"] + Please refer to the previous Group By Operator [GBY_305] + <-Reducer 13 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_333] + Select Operator [SEL_332] (rows=1 width=8) + Filter Operator [FIL_331] (rows=1 width=8) + predicate:(sq_count_check(_col0) <= 1) + Group By Operator [GBY_330] (rows=1 width=8) + Output:["_col0"],aggregations:["count(VALUE._col0)"] + <-Reducer 12 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_329] + Group By Operator [GBY_328] (rows=1 width=8) + Output:["_col0"],aggregations:["count()"] + Select Operator [SEL_326] (rows=25 width=4) + Please refer to the previous Group By Operator [GBY_325]
http://git-wip-us.apache.org/repos/asf/hive/blob/5553c59e/ql/src/test/results/clientpositive/perf/tez/constraints/query57.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query57.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query57.q.out index 484a302..69aeaae 100644 --- a/ql/src/test/results/clientpositive/perf/tez/constraints/query57.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query57.q.out @@ -142,19 +142,19 @@ Stage-0 Filter Operator [FIL_302] (rows=87441185 width=408) predicate:rank_window_0 is not null PTF Operator [PTF_300] (rows=87441185 width=408) - Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col2 ASC NULLS LAST, _col3 ASC NULLS LAST","partition by:":"_col1, _col0, _col4"}] + Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col0 ASC NULLS LAST, _col1 ASC NULLS LAST","partition by:":"_col4, _col3, _col2"}] Select Operator [SEL_299] (rows=87441185 width=408) Output:["_col0","_col1","_col2","_col3","_col4","_col5"] <-Reducer 5 [SIMPLE_EDGE] vectorized SHUFFLE [RS_297] - PartitionCols:_col1, _col0, _col4 + PartitionCols:_col4, _col3, _col2 Group By Operator [GBY_296] (rows=87441185 width=408) Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4 <-Reducer 4 [SIMPLE_EDGE] SHUFFLE [RS_93] PartitionCols:_col0, _col1, _col2, _col3, _col4 Group By Operator [GBY_92] (rows=87441185 width=408) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col3)"],keys:_col10, _col11, _col5, _col6, _col8 + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col3)"],keys:_col5, _col6, _col8, _col10, _col11 Merge Join Operator [MERGEJOIN_276] (rows=87441185 width=406) Conds:RS_88._col2=RS_295._col0(Inner),Output:["_col3","_col5","_col6","_col8","_col10","_col11"] <-Map 15 [SIMPLE_EDGE] vectorized @@ -227,7 +227,7 @@ Stage-0 Filter Operator [FIL_303] (rows=87441185 width=408) predicate:rank_window_0 is not null PTF Operator [PTF_301] (rows=87441185 width=408) - Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col2 ASC NULLS LAST, _col3 ASC NULLS LAST","partition by:":"_col1, _col0, _col4"}] + Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col0 ASC NULLS LAST, _col1 ASC NULLS LAST","partition by:":"_col4, _col3, _col2"}] Please refer to the previous Select Operator [SEL_299] <-Reducer 11 [SIMPLE_EDGE] vectorized SHUFFLE [RS_318] @@ -239,22 +239,22 @@ Stage-0 Select Operator [SEL_315] (rows=260242 width=520) Output:["rank_window_1","_col0","_col1","_col2","_col3","_col4","_col5","_col6"] Filter Operator [FIL_314] (rows=260242 width=520) - predicate:((_col0 > 0) and (_col3 = 2000) and rank_window_1 is not null) + predicate:((_col0 > 0) and (_col1 = 2000) and rank_window_1 is not null) PTF Operator [PTF_313] (rows=87441185 width=520) - Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col3 ASC NULLS LAST, _col4 ASC NULLS LAST","partition by:":"_col2, _col1, _col5"}] + Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col1 ASC NULLS LAST, _col2 ASC NULLS LAST","partition by:":"_col5, _col4, _col3"}] Select Operator [SEL_312] (rows=87441185 width=520) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] <-Reducer 10 [SIMPLE_EDGE] vectorized SHUFFLE [RS_311] - PartitionCols:_col1, _col0, _col4 + PartitionCols:_col4, _col3, _col2 Select Operator [SEL_310] (rows=87441185 width=408) Output:["avg_window_0","_col0","_col1","_col2","_col3","_col4","_col5"] PTF Operator [PTF_309] (rows=87441185 width=408) - Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col1 ASC NULLS FIRST, _col0 ASC NULLS FIRST, _col4 ASC NULLS FIRST, _col2 ASC NULLS FIRST","partition by:":"_col1, _col0, _col4, _col2"}] + Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col4 ASC NULLS FIRST, _col3 ASC NULLS FIRST, _col2 ASC NULLS FIRST, _col0 ASC NULLS FIRST","partition by:":"_col4, _col3, _col2, _col0"}] Select Operator [SEL_308] (rows=87441185 width=408) Output:["_col0","_col1","_col2","_col3","_col4","_col5"] <-Reducer 5 [SIMPLE_EDGE] vectorized SHUFFLE [RS_298] - PartitionCols:_col1, _col0, _col4, _col2 + PartitionCols:_col4, _col3, _col2, _col0 Please refer to the previous Group By Operator [GBY_296]
