http://git-wip-us.apache.org/repos/asf/hive/blob/f2c4f319/ql/src/test/results/clientpositive/perf/tez/query53.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query53.q.out b/ql/src/test/results/clientpositive/perf/tez/query53.q.out index 51c956d..3567534 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query53.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query53.q.out @@ -55,21 +55,25 @@ POSTHOOK: type: QUERY Plan optimized by CBO. Vertex dependency in root stage +Map 1 <- Reducer 10 (BROADCAST_EDGE), Reducer 12 (BROADCAST_EDGE), Reducer 8 (BROADCAST_EDGE) +Reducer 10 <- Map 9 (CUSTOM_SIMPLE_EDGE) +Reducer 12 <- Map 11 (CUSTOM_SIMPLE_EDGE) Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) -Reducer 3 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Map 9 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 11 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) Reducer 5 <- Reducer 4 (SIMPLE_EDGE) Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 8 <- Map 7 (CUSTOM_SIMPLE_EDGE) Stage-0 Fetch Operator limit:100 Stage-1 Reducer 6 vectorized - File Output Operator [FS_71] - Limit [LIM_70] (rows=100 width=88) + File Output Operator [FS_116] + Limit [LIM_115] (rows=100 width=88) Number of rows:100 - Select Operator [SEL_69] (rows=191662559 width=88) + Select Operator [SEL_114] (rows=191662559 width=88) Output:["_col0","_col1","_col2"] <-Reducer 5 [SIMPLE_EDGE] SHUFFLE [RS_33] @@ -90,52 +94,85 @@ Stage-0 PartitionCols:_col0 Group By Operator [GBY_22] (rows=766650239 width=88) Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col8, _col11 - Merge Join Operator [MERGEJOIN_54] (rows=766650239 width=88) - Conds:RS_18._col2=RS_66._col0(Inner),Output:["_col3","_col8","_col11"] - <-Map 9 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_66] + Merge Join Operator [MERGEJOIN_84] (rows=766650239 width=88) + Conds:RS_18._col2=RS_103._col0(Inner),Output:["_col3","_col8","_col11"] + <-Map 11 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_103] PartitionCols:_col0 - Select Operator [SEL_65] (rows=1704 width=1910) + Select Operator [SEL_102] (rows=1704 width=1910) Output:["_col0"] - Filter Operator [FIL_64] (rows=1704 width=1910) + Filter Operator [FIL_101] (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"] <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_18] PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_53] (rows=696954748 width=88) - Conds:RS_15._col0=RS_63._col0(Inner),Output:["_col2","_col3","_col8","_col11"] - <-Map 8 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_63] + Merge Join Operator [MERGEJOIN_83] (rows=696954748 width=88) + Conds:RS_15._col0=RS_95._col0(Inner),Output:["_col2","_col3","_col8","_col11"] + <-Map 9 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_95] PartitionCols:_col0 - Select Operator [SEL_62] (rows=36525 width=1119) + Select Operator [SEL_94] (rows=36525 width=1119) Output:["_col0","_col2"] - Filter Operator [FIL_61] (rows=36525 width=1119) + Filter Operator [FIL_93] (rows=36525 width=1119) predicate:((d_month_seq) IN (1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223) 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_month_seq","d_qoy"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_15] PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_52] (rows=633595212 width=88) - Conds:RS_57._col1=RS_60._col0(Inner),Output:["_col0","_col2","_col3","_col8"] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_57] - PartitionCols:_col1 - Select Operator [SEL_56] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_55] (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"] + Merge Join Operator [MERGEJOIN_82] (rows=633595212 width=88) + Conds:RS_111._col1=RS_87._col0(Inner),Output:["_col0","_col2","_col3","_col8"] <-Map 7 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_60] + PARTITION_ONLY_SHUFFLE [RS_87] PartitionCols:_col0 - Select Operator [SEL_59] (rows=115500 width=1436) + Select Operator [SEL_86] (rows=115500 width=1436) Output:["_col0","_col4"] - Filter Operator [FIL_58] (rows=115500 width=1436) + Filter Operator [FIL_85] (rows=115500 width=1436) predicate:((((i_category) IN ('Books', 'Children', 'Electronics') and (i_class) IN ('personal', 'portable', 'reference', 'self-help') and (i_brand) IN ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9')) or ((i_category) IN ('Women', 'Music', 'Men') and (i_class) IN ('accessories', 'classical', 'fragrances', 'pants') and (i_brand) IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))) and ((i_brand) IN ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9') or (i_brand) IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')) and ((i_category) IN ('Books', 'Children', 'Electronics') or (i_category) IN ('Women', 'Music', 'Men')) and ((i_class) IN ('personal', 'portable', 'reference', 'self-help') or (i_class) IN ('accessories', 'classical', 'fragrances', '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","i_manufact_id"] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_111] + PartitionCols:_col1 + Select Operator [SEL_110] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_109] (rows=575995635 width=88) + predicate:((ss_item_sk BETWEEN DynamicValue(RS_13_item_i_item_sk_min) AND DynamicValue(RS_13_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_13_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_16_date_dim_d_date_sk_min) AND DynamicValue(RS_16_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_16_date_dim_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_19_store_s_store_sk_min) AND DynamicValue(RS_19_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_19_store_s_store_sk_bloom_filter))) and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) + TableScan [TS_0] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_store_sk","ss_sales_price"] + <-Reducer 10 [BROADCAST_EDGE] vectorized + BROADCAST [RS_100] + Group By Operator [GBY_99] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 9 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_98] + Group By Operator [GBY_97] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_96] (rows=36525 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_94] + <-Reducer 12 [BROADCAST_EDGE] vectorized + BROADCAST [RS_108] + Group By Operator [GBY_107] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 11 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_106] + Group By Operator [GBY_105] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_104] (rows=1704 width=1910) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_102] + <-Reducer 8 [BROADCAST_EDGE] vectorized + BROADCAST [RS_92] + Group By Operator [GBY_91] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 7 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_90] + Group By Operator [GBY_89] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_88] (rows=115500 width=1436) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_86]
http://git-wip-us.apache.org/repos/asf/hive/blob/f2c4f319/ql/src/test/results/clientpositive/perf/tez/query54.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query54.q.out b/ql/src/test/results/clientpositive/perf/tez/query54.q.out index 386ea4b..8ab239c 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query54.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query54.q.out @@ -1,7 +1,7 @@ -Warning: Shuffle Join MERGEJOIN[184][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3]] in Stage 'Reducer 4' is a cross product -Warning: Shuffle Join MERGEJOIN[185][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4]] in Stage 'Reducer 5' is a cross product -Warning: Shuffle Join MERGEJOIN[183][tables = [$hdt$_1, $hdt$_2]] in Stage 'Reducer 29' is a cross product -Warning: Shuffle Join MERGEJOIN[186][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, $hdt$_2, $hdt$_3]] in Stage 'Reducer 4' is a cross product +Warning: Shuffle Join MERGEJOIN[270][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4]] in Stage 'Reducer 5' is a cross product +Warning: Shuffle Join MERGEJOIN[268][tables = [$hdt$_1, $hdt$_2]] in Stage 'Reducer 33' is a cross product +Warning: Shuffle Join MERGEJOIN[271][tables = [$hdt$_1, $hdt$_2, $hdt$_0]] in Stage 'Reducer 6' is a cross product PREHOOK: query: explain with my_customers as ( select distinct c_customer_sk @@ -115,25 +115,30 @@ POSTHOOK: type: QUERY Plan optimized by CBO. Vertex dependency in root stage -Map 15 <- Union 16 (CONTAINS) -Map 21 <- Union 16 (CONTAINS) -Reducer 12 <- Map 11 (SIMPLE_EDGE), Map 14 (SIMPLE_EDGE) -Reducer 13 <- Reducer 12 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE) -Reducer 17 <- Map 22 (SIMPLE_EDGE), Union 16 (SIMPLE_EDGE) -Reducer 18 <- Map 23 (SIMPLE_EDGE), Reducer 17 (SIMPLE_EDGE) -Reducer 19 <- Map 24 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE) +Map 1 <- Reducer 11 (BROADCAST_EDGE) +Map 16 <- Reducer 24 (BROADCAST_EDGE), Reducer 26 (BROADCAST_EDGE), Reducer 28 (BROADCAST_EDGE), Union 17 (CONTAINS) +Map 22 <- Reducer 24 (BROADCAST_EDGE), Reducer 26 (BROADCAST_EDGE), Union 17 (CONTAINS) +Reducer 11 <- Map 10 (CUSTOM_SIMPLE_EDGE) +Reducer 13 <- Map 12 (SIMPLE_EDGE), Map 15 (SIMPLE_EDGE) +Reducer 14 <- Reducer 13 (SIMPLE_EDGE), Reducer 21 (SIMPLE_EDGE) +Reducer 18 <- Map 23 (SIMPLE_EDGE), Union 17 (SIMPLE_EDGE) +Reducer 19 <- Map 25 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE) Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 10 (SIMPLE_EDGE) -Reducer 20 <- Reducer 19 (SIMPLE_EDGE) -Reducer 26 <- Map 25 (SIMPLE_EDGE) -Reducer 27 <- Reducer 26 (CUSTOM_SIMPLE_EDGE) -Reducer 28 <- Map 25 (SIMPLE_EDGE) -Reducer 29 <- Reducer 28 (CUSTOM_SIMPLE_EDGE), Reducer 31 (CUSTOM_SIMPLE_EDGE) -Reducer 3 <- Reducer 13 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 30 <- Map 25 (SIMPLE_EDGE) +Reducer 20 <- Map 27 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE) +Reducer 21 <- Reducer 20 (SIMPLE_EDGE) +Reducer 24 <- Map 23 (CUSTOM_SIMPLE_EDGE) +Reducer 26 <- Map 25 (CUSTOM_SIMPLE_EDGE) +Reducer 28 <- Map 27 (CUSTOM_SIMPLE_EDGE) +Reducer 3 <- Reducer 14 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 30 <- Map 29 (SIMPLE_EDGE) Reducer 31 <- Reducer 30 (CUSTOM_SIMPLE_EDGE) -Reducer 4 <- Reducer 27 (CUSTOM_SIMPLE_EDGE), Reducer 3 (CUSTOM_SIMPLE_EDGE) -Reducer 5 <- Reducer 26 (CUSTOM_SIMPLE_EDGE), Reducer 4 (CUSTOM_SIMPLE_EDGE) -Reducer 6 <- Reducer 29 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE) +Reducer 32 <- Map 29 (SIMPLE_EDGE) +Reducer 33 <- Reducer 32 (CUSTOM_SIMPLE_EDGE), Reducer 35 (CUSTOM_SIMPLE_EDGE) +Reducer 34 <- Map 29 (SIMPLE_EDGE) +Reducer 35 <- Reducer 34 (CUSTOM_SIMPLE_EDGE) +Reducer 4 <- Reducer 3 (CUSTOM_SIMPLE_EDGE), Reducer 31 (CUSTOM_SIMPLE_EDGE) +Reducer 5 <- Reducer 30 (CUSTOM_SIMPLE_EDGE), Reducer 4 (CUSTOM_SIMPLE_EDGE) +Reducer 6 <- Reducer 33 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE) Reducer 7 <- Reducer 6 (SIMPLE_EDGE) Reducer 8 <- Reducer 7 (SIMPLE_EDGE) Reducer 9 <- Reducer 8 (SIMPLE_EDGE) @@ -143,25 +148,25 @@ Stage-0 limit:100 Stage-1 Reducer 9 vectorized - File Output Operator [FS_259] - Limit [LIM_258] (rows=100 width=158) + File Output Operator [FS_358] + Limit [LIM_357] (rows=100 width=158) Number of rows:100 - Select Operator [SEL_257] (rows=1614130953450400 width=158) + Select Operator [SEL_356] (rows=1614130953450400 width=158) Output:["_col0","_col1","_col2"] <-Reducer 8 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_256] - Select Operator [SEL_255] (rows=1614130953450400 width=158) + SHUFFLE [RS_355] + Select Operator [SEL_354] (rows=1614130953450400 width=158) Output:["_col0","_col1","_col2"] - Group By Operator [GBY_254] (rows=1614130953450400 width=158) + Group By Operator [GBY_353] (rows=1614130953450400 width=158) Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0 <-Reducer 7 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_253] + SHUFFLE [RS_352] PartitionCols:_col0 - Group By Operator [GBY_252] (rows=3228261906900801 width=158) + Group By Operator [GBY_351] (rows=3228261906900801 width=158) Output:["_col0","_col1"],aggregations:["count()"],keys:_col0 - Select Operator [SEL_251] (rows=3228261906900801 width=158) + Select Operator [SEL_350] (rows=3228261906900801 width=158) Output:["_col0"] - Group By Operator [GBY_250] (rows=3228261906900801 width=158) + Group By Operator [GBY_349] (rows=3228261906900801 width=158) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 <-Reducer 6 [SIMPLE_EDGE] SHUFFLE [RS_119] @@ -174,207 +179,257 @@ Stage-0 predicate:_col11 BETWEEN _col13 AND _col15 Select Operator [SEL_115] (rows=58108714324214428 width=158) Output:["_col0","_col4","_col11","_col13","_col15"] - Merge Join Operator [MERGEJOIN_186] (rows=58108714324214428 width=158) + Merge Join Operator [MERGEJOIN_271] (rows=58108714324214428 width=158) Conds:(Inner),Output:["_col0","_col2","_col6","_col13","_col15"] - <-Reducer 29 [CUSTOM_SIMPLE_EDGE] + <-Reducer 33 [CUSTOM_SIMPLE_EDGE] PARTITION_ONLY_SHUFFLE [RS_112] - Merge Join Operator [MERGEJOIN_183] (rows=9131 width=1128) + Merge Join Operator [MERGEJOIN_268] (rows=9131 width=1128) Conds:(Right Outer),Output:["_col0"] - <-Reducer 28 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_241] - Group By Operator [GBY_240] (rows=9131 width=1119) + <-Reducer 32 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_340] + Group By Operator [GBY_339] (rows=9131 width=1119) Output:["_col0"],keys:KEY._col0 - <-Map 25 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_229] + <-Map 29 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_328] PartitionCols:_col0 - Group By Operator [GBY_226] (rows=18262 width=1119) + Group By Operator [GBY_325] (rows=18262 width=1119) Output:["_col0"],keys:_col0 - Select Operator [SEL_223] (rows=18262 width=1119) + Select Operator [SEL_322] (rows=18262 width=1119) Output:["_col0"] - Filter Operator [FIL_221] (rows=18262 width=1119) + Filter Operator [FIL_320] (rows=18262 width=1119) predicate:((d_moy = 3) and (d_year = 1999)) TableScan [TS_73] (rows=73049 width=1119) default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_month_seq","d_year","d_moy"] - <-Reducer 31 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_249] - Select Operator [SEL_248] (rows=1 width=8) - Filter Operator [FIL_247] (rows=1 width=8) + <-Reducer 35 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_348] + Select Operator [SEL_347] (rows=1 width=8) + Filter Operator [FIL_346] (rows=1 width=8) predicate:(sq_count_check(_col0) <= 1) - Group By Operator [GBY_246] (rows=1 width=8) + Group By Operator [GBY_345] (rows=1 width=8) Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 30 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_245] - Group By Operator [GBY_244] (rows=1 width=8) + <-Reducer 34 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_344] + Group By Operator [GBY_343] (rows=1 width=8) Output:["_col0"],aggregations:["count()"] - Select Operator [SEL_243] (rows=9131 width=1119) - Group By Operator [GBY_242] (rows=9131 width=1119) + Select Operator [SEL_342] (rows=9131 width=1119) + Group By Operator [GBY_341] (rows=9131 width=1119) Output:["_col0"],keys:KEY._col0 - <-Map 25 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_230] + <-Map 29 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_329] PartitionCols:_col0 - Group By Operator [GBY_227] (rows=18262 width=1119) + Group By Operator [GBY_326] (rows=18262 width=1119) Output:["_col0"],keys:_col0 - Select Operator [SEL_224] (rows=18262 width=1119) + Select Operator [SEL_323] (rows=18262 width=1119) Output:["_col0"] - Please refer to the previous Filter Operator [FIL_221] + Please refer to the previous Filter Operator [FIL_320] <-Reducer 5 [CUSTOM_SIMPLE_EDGE] PARTITION_ONLY_SHUFFLE [RS_113] Select Operator [SEL_108] (rows=6363893803988 width=1217) Output:["_col0","_col4","_col11","_col13"] - Merge Join Operator [MERGEJOIN_185] (rows=6363893803988 width=1217) + Merge Join Operator [MERGEJOIN_270] (rows=6363893803988 width=1217) Conds:(Left Outer),Output:["_col2","_col4","_col10","_col13"] - <-Reducer 26 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_233] - Group By Operator [GBY_231] (rows=9131 width=1119) + <-Reducer 30 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_332] + Group By Operator [GBY_330] (rows=9131 width=1119) Output:["_col0"],keys:KEY._col0 - <-Map 25 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_228] + <-Map 29 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_327] PartitionCols:_col0 - Group By Operator [GBY_225] (rows=18262 width=1119) + Group By Operator [GBY_324] (rows=18262 width=1119) Output:["_col0"],keys:_col0 - Select Operator [SEL_222] (rows=18262 width=1119) + Select Operator [SEL_321] (rows=18262 width=1119) Output:["_col0"] - Please refer to the previous Filter Operator [FIL_221] + Please refer to the previous Filter Operator [FIL_320] <-Reducer 4 [CUSTOM_SIMPLE_EDGE] PARTITION_ONLY_SHUFFLE [RS_105] - Merge Join Operator [MERGEJOIN_184] (rows=696954748 width=97) + Merge Join Operator [MERGEJOIN_269] (rows=696954748 width=97) Conds:(Inner),Output:["_col2","_col4","_col10"] - <-Reducer 27 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_239] - Select Operator [SEL_238] (rows=1 width=8) - Filter Operator [FIL_237] (rows=1 width=8) - predicate:(sq_count_check(_col0) <= 1) - Group By Operator [GBY_236] (rows=1 width=8) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 26 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_235] - Group By Operator [GBY_234] (rows=1 width=8) - Output:["_col0"],aggregations:["count()"] - Select Operator [SEL_232] (rows=9131 width=1119) - Please refer to the previous Group By Operator [GBY_231] <-Reducer 3 [CUSTOM_SIMPLE_EDGE] PARTITION_ONLY_SHUFFLE [RS_102] - Merge Join Operator [MERGEJOIN_182] (rows=696954748 width=88) + Merge Join Operator [MERGEJOIN_267] (rows=696954748 width=88) Conds:RS_99._col1=RS_100._col5(Inner),Output:["_col2","_col4","_col10"] - <-Reducer 13 [SIMPLE_EDGE] + <-Reducer 14 [SIMPLE_EDGE] SHUFFLE [RS_100] PartitionCols:_col5 - Merge Join Operator [MERGEJOIN_181] (rows=316240138 width=135) - Conds:RS_69._col0=RS_220._col1(Inner),Output:["_col5"] - <-Reducer 12 [SIMPLE_EDGE] + Merge Join Operator [MERGEJOIN_266] (rows=316240138 width=135) + Conds:RS_69._col0=RS_319._col1(Inner),Output:["_col5"] + <-Reducer 13 [SIMPLE_EDGE] SHUFFLE [RS_69] PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_177] (rows=44000000 width=1014) - Conds:RS_205._col1, _col2=RS_208._col0, _col1(Inner),Output:["_col0"] - <-Map 11 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_205] + Merge Join Operator [MERGEJOIN_262] (rows=44000000 width=1014) + Conds:RS_295._col1, _col2=RS_298._col0, _col1(Inner),Output:["_col0"] + <-Map 12 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_295] PartitionCols:_col1, _col2 - Select Operator [SEL_204] (rows=40000000 width=1014) + Select Operator [SEL_294] (rows=40000000 width=1014) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_203] (rows=40000000 width=1014) + Filter Operator [FIL_293] (rows=40000000 width=1014) predicate:(ca_address_sk is not null and ca_county is not null and ca_state is not null) TableScan [TS_29] (rows=40000000 width=1014) default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_county","ca_state"] - <-Map 14 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_208] + <-Map 15 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_298] PartitionCols:_col0, _col1 - Select Operator [SEL_207] (rows=1704 width=1910) + Select Operator [SEL_297] (rows=1704 width=1910) Output:["_col0","_col1"] - Filter Operator [FIL_206] (rows=1704 width=1910) + Filter Operator [FIL_296] (rows=1704 width=1910) predicate:(s_county is not null and s_state is not null) TableScan [TS_32] (rows=1704 width=1910) default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_county","s_state"] - <-Reducer 20 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_220] + <-Reducer 21 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_319] PartitionCols:_col1 - Select Operator [SEL_219] (rows=287491029 width=135) + Select Operator [SEL_318] (rows=287491029 width=135) Output:["_col0","_col1"] - Group By Operator [GBY_218] (rows=287491029 width=135) + Group By Operator [GBY_317] (rows=287491029 width=135) Output:["_col0","_col1"],keys:KEY._col0, KEY._col1 - <-Reducer 19 [SIMPLE_EDGE] + <-Reducer 20 [SIMPLE_EDGE] SHUFFLE [RS_63] PartitionCols:_col0, _col1 Group By Operator [GBY_62] (rows=574982058 width=135) Output:["_col0","_col1"],keys:_col10, _col9 - Merge Join Operator [MERGEJOIN_180] (rows=574982058 width=135) - Conds:RS_58._col1=RS_217._col0(Inner),Output:["_col9","_col10"] - <-Map 24 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_217] + Merge Join Operator [MERGEJOIN_265] (rows=574982058 width=135) + Conds:RS_58._col1=RS_313._col0(Inner),Output:["_col9","_col10"] + <-Map 27 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_313] PartitionCols:_col0 - Select Operator [SEL_216] (rows=80000000 width=860) + Select Operator [SEL_312] (rows=80000000 width=860) Output:["_col0","_col1"] - Filter Operator [FIL_215] (rows=80000000 width=860) + Filter Operator [FIL_311] (rows=80000000 width=860) predicate:(c_current_addr_sk is not null and c_customer_sk is not null) TableScan [TS_49] (rows=80000000 width=860) default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"] - <-Reducer 18 [SIMPLE_EDGE] + <-Reducer 19 [SIMPLE_EDGE] SHUFFLE [RS_58] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_179] (rows=522710951 width=135) - Conds:RS_55._col2=RS_214._col0(Inner),Output:["_col1"] - <-Map 23 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_214] + Merge Join Operator [MERGEJOIN_264] (rows=522710951 width=135) + Conds:RS_55._col2=RS_307._col0(Inner),Output:["_col1"] + <-Map 25 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_307] PartitionCols:_col0 - Select Operator [SEL_213] (rows=115500 width=1436) + Select Operator [SEL_306] (rows=115500 width=1436) Output:["_col0"] - Filter Operator [FIL_212] (rows=115500 width=1436) + Filter Operator [FIL_305] (rows=115500 width=1436) predicate:((i_category = 'Jewelry') and (i_class = 'consignment') and i_item_sk is not null) TableScan [TS_46] (rows=462000 width=1436) default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_class","i_category"] - <-Reducer 17 [SIMPLE_EDGE] + <-Reducer 18 [SIMPLE_EDGE] SHUFFLE [RS_55] PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_178] (rows=475191764 width=135) - Conds:Union 16._col0=RS_211._col0(Inner),Output:["_col1","_col2"] - <-Map 22 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_211] + Merge Join Operator [MERGEJOIN_263] (rows=475191764 width=135) + Conds:Union 17._col0=RS_301._col0(Inner),Output:["_col1","_col2"] + <-Map 23 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_301] PartitionCols:_col0 - Select Operator [SEL_210] (rows=18262 width=1119) + Select Operator [SEL_300] (rows=18262 width=1119) Output:["_col0"] - Filter Operator [FIL_209] (rows=18262 width=1119) + Filter Operator [FIL_299] (rows=18262 width=1119) predicate:((d_moy = 3) and (d_year = 1999) and d_date_sk is not null) TableScan [TS_43] (rows=73049 width=1119) default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] - <-Union 16 [SIMPLE_EDGE] - <-Map 15 [CONTAINS] vectorized - Reduce Output Operator [RS_262] + <-Union 17 [SIMPLE_EDGE] + <-Map 16 [CONTAINS] vectorized + Reduce Output Operator [RS_369] PartitionCols:_col0 - Select Operator [SEL_261] (rows=287989836 width=135) + Select Operator [SEL_368] (rows=287989836 width=135) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_260] (rows=287989836 width=135) - predicate:(cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_187] (rows=287989836 width=135) + Filter Operator [FIL_367] (rows=287989836 width=135) + predicate:((cs_bill_customer_sk BETWEEN DynamicValue(RS_59_customer_c_customer_sk_min) AND DynamicValue(RS_59_customer_c_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_59_customer_c_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_56_item_i_item_sk_min) AND DynamicValue(RS_56_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_56_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_53_date_dim_d_date_sk_min) AND DynamicValue(RS_53_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_53_date_dim_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_272] (rows=287989836 width=135) Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk"] - <-Map 21 [CONTAINS] vectorized - Reduce Output Operator [RS_265] + <-Reducer 24 [BROADCAST_EDGE] vectorized + BROADCAST [RS_360] + Group By Operator [GBY_359] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 23 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_304] + Group By Operator [GBY_303] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_302] (rows=18262 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_300] + <-Reducer 26 [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 25 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_310] + Group By Operator [GBY_309] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_308] (rows=115500 width=1436) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_306] + <-Reducer 28 [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=80000000)"] + <-Map 27 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_316] + Group By Operator [GBY_315] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=80000000)"] + Select Operator [SEL_314] (rows=80000000 width=860) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_312] + <-Map 22 [CONTAINS] vectorized + Reduce Output Operator [RS_372] PartitionCols:_col0 - Select Operator [SEL_264] (rows=144002668 width=135) + Select Operator [SEL_371] (rows=144002668 width=135) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_263] (rows=144002668 width=135) - predicate:(ws_bill_customer_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) - TableScan [TS_192] (rows=144002668 width=135) + Filter Operator [FIL_370] (rows=144002668 width=135) + predicate:((ws_item_sk BETWEEN DynamicValue(RS_56_item_i_item_sk_min) AND DynamicValue(RS_56_item_i_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_56_item_i_item_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_53_date_dim_d_date_sk_min) AND DynamicValue(RS_53_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_53_date_dim_d_date_sk_bloom_filter))) and ws_bill_customer_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_277] (rows=144002668 width=135) Output:["ws_sold_date_sk","ws_item_sk","ws_bill_customer_sk"] + <-Reducer 24 [BROADCAST_EDGE] vectorized + BROADCAST [RS_361] + Please refer to the previous Group By Operator [GBY_359] + <-Reducer 26 [BROADCAST_EDGE] vectorized + BROADCAST [RS_364] + Please refer to the previous Group By Operator [GBY_362] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_99] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_176] (rows=633595212 width=88) - Conds:RS_199._col0=RS_202._col0(Inner),Output:["_col1","_col2","_col4"] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_199] - PartitionCols:_col0 - Select Operator [SEL_198] (rows=575995635 width=88) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_197] (rows=575995635 width=88) - predicate:(ss_customer_sk is not null and ss_sold_date_sk is not null) - TableScan [TS_23] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk","ss_ext_sales_price"] + Merge Join Operator [MERGEJOIN_261] (rows=633595212 width=88) + Conds:RS_292._col0=RS_284._col0(Inner),Output:["_col1","_col2","_col4"] <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_202] + SHUFFLE [RS_284] PartitionCols:_col0 - Select Operator [SEL_201] (rows=73049 width=1119) + Select Operator [SEL_283] (rows=73049 width=1119) Output:["_col0","_col1"] - Filter Operator [FIL_200] (rows=73049 width=1119) + Filter Operator [FIL_282] (rows=73049 width=1119) predicate:d_date_sk is not null TableScan [TS_26] (rows=73049 width=1119) default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_month_seq"] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_292] + PartitionCols:_col0 + Select Operator [SEL_291] (rows=575995635 width=88) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_290] (rows=575995635 width=88) + predicate:((ss_sold_date_sk BETWEEN DynamicValue(RS_97_date_dim_d_date_sk_min) AND DynamicValue(RS_97_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_97_date_dim_d_date_sk_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_23] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk","ss_ext_sales_price"] + <-Reducer 11 [BROADCAST_EDGE] vectorized + BROADCAST [RS_289] + Group By Operator [GBY_288] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 10 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_287] + Group By Operator [GBY_286] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_285] (rows=73049 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_283] + <-Reducer 31 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_338] + Select Operator [SEL_337] (rows=1 width=8) + Filter Operator [FIL_336] (rows=1 width=8) + predicate:(sq_count_check(_col0) <= 1) + Group By Operator [GBY_335] (rows=1 width=8) + Output:["_col0"],aggregations:["count(VALUE._col0)"] + <-Reducer 30 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_334] + Group By Operator [GBY_333] (rows=1 width=8) + Output:["_col0"],aggregations:["count()"] + Select Operator [SEL_331] (rows=9131 width=1119) + Please refer to the previous Group By Operator [GBY_330] http://git-wip-us.apache.org/repos/asf/hive/blob/f2c4f319/ql/src/test/results/clientpositive/perf/tez/query55.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query55.q.out b/ql/src/test/results/clientpositive/perf/tez/query55.q.out index 2f27227..8693539 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query55.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query55.q.out @@ -27,64 +27,89 @@ POSTHOOK: type: QUERY Plan optimized by CBO. Vertex dependency in root stage +Map 1 <- Reducer 7 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE) Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE) -Reducer 3 <- Map 7 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 3 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) Reducer 4 <- Reducer 3 (SIMPLE_EDGE) Reducer 5 <- Reducer 4 (SIMPLE_EDGE) +Reducer 7 <- Map 6 (CUSTOM_SIMPLE_EDGE) +Reducer 9 <- Map 8 (CUSTOM_SIMPLE_EDGE) Stage-0 Fetch Operator limit:-1 Stage-1 Reducer 5 vectorized - File Output Operator [FS_49] - Limit [LIM_48] (rows=100 width=88) + File Output Operator [FS_79] + Limit [LIM_78] (rows=100 width=88) Number of rows:100 - Select Operator [SEL_47] (rows=348477374 width=88) + Select Operator [SEL_77] (rows=348477374 width=88) Output:["_col0","_col1","_col2"] <-Reducer 4 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_46] - Select Operator [SEL_45] (rows=348477374 width=88) + SHUFFLE [RS_76] + Select Operator [SEL_75] (rows=348477374 width=88) Output:["_col1","_col2","_col3"] - Group By Operator [GBY_44] (rows=348477374 width=88) + Group By Operator [GBY_74] (rows=348477374 width=88) Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1 <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_17] PartitionCols:_col0, _col1 Group By Operator [GBY_16] (rows=696954748 width=88) Output:["_col0","_col1","_col2"],aggregations:["sum(_col2)"],keys:_col7, _col8 - Merge Join Operator [MERGEJOIN_34] (rows=696954748 width=88) - Conds:RS_12._col1=RS_43._col0(Inner),Output:["_col2","_col7","_col8"] - <-Map 7 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_43] + Merge Join Operator [MERGEJOIN_54] (rows=696954748 width=88) + Conds:RS_12._col1=RS_65._col0(Inner),Output:["_col2","_col7","_col8"] + <-Map 8 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_65] PartitionCols:_col0 - Select Operator [SEL_42] (rows=231000 width=1436) + Select Operator [SEL_64] (rows=231000 width=1436) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_41] (rows=231000 width=1436) + Filter Operator [FIL_63] (rows=231000 width=1436) predicate:((i_manager_id = 36) and i_item_sk is not null) TableScan [TS_6] (rows=462000 width=1436) default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_brand","i_manager_id"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_12] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_33] (rows=633595212 width=88) - Conds:RS_37._col0=RS_40._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_37] - PartitionCols:_col0 - Select Operator [SEL_36] (rows=575995635 width=88) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_35] (rows=575995635 width=88) - predicate:(ss_item_sk is not null and ss_sold_date_sk is not null) - TableScan [TS_0] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ext_sales_price"] + Merge Join Operator [MERGEJOIN_53] (rows=633595212 width=88) + Conds:RS_73._col0=RS_57._col0(Inner),Output:["_col1","_col2"] <-Map 6 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_40] + PARTITION_ONLY_SHUFFLE [RS_57] PartitionCols:_col0 - Select Operator [SEL_39] (rows=18262 width=1119) + Select Operator [SEL_56] (rows=18262 width=1119) Output:["_col0"] - Filter Operator [FIL_38] (rows=18262 width=1119) + Filter Operator [FIL_55] (rows=18262 width=1119) predicate:((d_moy = 12) and (d_year = 2001) and d_date_sk is not null) TableScan [TS_3] (rows=73049 width=1119) default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_73] + PartitionCols:_col0 + Select Operator [SEL_72] (rows=575995635 width=88) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_71] (rows=575995635 width=88) + predicate:((ss_item_sk BETWEEN DynamicValue(RS_13_item_i_item_sk_min) AND DynamicValue(RS_13_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_13_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_10_date_dim_d_date_sk_min) AND DynamicValue(RS_10_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_10_date_dim_d_date_sk_bloom_filter))) and ss_item_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_0] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ext_sales_price"] + <-Reducer 7 [BROADCAST_EDGE] vectorized + BROADCAST [RS_62] + Group By Operator [GBY_61] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 6 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_60] + Group By Operator [GBY_59] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_58] (rows=18262 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_56] + <-Reducer 9 [BROADCAST_EDGE] vectorized + BROADCAST [RS_70] + Group By Operator [GBY_69] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_68] + Group By Operator [GBY_67] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_66] (rows=231000 width=1436) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_64]
