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Posted to commits@hive.apache.org by jc...@apache.org on 2018/07/19 20:59:41 UTC
[03/18] hive git commit: HIVE-17896: TopNKey: Create a standalone
vectorizable TopNKey operator (Teddy Choi,
reviewed by Jesus Camacho Rodriguez)
http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query8.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query8.q.out b/ql/src/test/results/clientpositive/perf/tez/query8.q.out
index 26c7d8b..ee20e61 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query8.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query8.q.out
@@ -234,150 +234,152 @@ Stage-0
limit:100
Stage-1
Reducer 5 vectorized
- File Output Operator [FS_150]
- Limit [LIM_149] (rows=100 width=88)
+ File Output Operator [FS_151]
+ Limit [LIM_150] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_148] (rows=348477374 width=88)
+ Select Operator [SEL_149] (rows=348477374 width=88)
Output:["_col0","_col1"]
<-Reducer 4 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_147]
- Group By Operator [GBY_146] (rows=348477374 width=88)
+ SHUFFLE [RS_148]
+ Group By Operator [GBY_147] (rows=348477374 width=88)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_57]
PartitionCols:_col0
Group By Operator [GBY_56] (rows=696954748 width=88)
Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col8
- Merge Join Operator [MERGEJOIN_117] (rows=696954748 width=88)
- Conds:RS_52._col1=RS_53._col1(Inner),Output:["_col2","_col8"]
- <-Reducer 12 [SIMPLE_EDGE]
- SHUFFLE [RS_53]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_116] (rows=1874 width=1911)
- Conds:RS_137.substr(_col0, 1, 2)=RS_140.substr(_col2, 1, 2)(Inner),Output:["_col1","_col2"]
- <-Map 19 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_140]
- PartitionCols:substr(_col2, 1, 2)
- Select Operator [SEL_139] (rows=1704 width=1910)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_138] (rows=1704 width=1910)
- predicate:(s_store_sk is not null and substr(s_zip, 1, 2) is not null)
- TableScan [TS_42] (rows=1704 width=1910)
- default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_name","s_zip"]
- <-Reducer 11 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_137]
- PartitionCols:substr(_col0, 1, 2)
- Select Operator [SEL_136] (rows=1 width=1014)
- Output:["_col0"]
- Filter Operator [FIL_135] (rows=1 width=1014)
- predicate:(_col1 = 2L)
- Group By Operator [GBY_134] (rows=6833333 width=1014)
- Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
- <-Union 10 [SIMPLE_EDGE]
- <-Reducer 17 [CONTAINS] vectorized
- Reduce Output Operator [RS_171]
- PartitionCols:_col0
- Group By Operator [GBY_170] (rows=13666666 width=1014)
- Output:["_col0","_col1"],aggregations:["count(_col1)"],keys:_col0
- Group By Operator [GBY_169] (rows=3666666 width=1014)
- Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
- <-Reducer 16 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_168]
- PartitionCols:_col0
- Group By Operator [GBY_167] (rows=7333333 width=1014)
- Output:["_col0","_col1"],aggregations:["count()"],keys:_col0
- Select Operator [SEL_166] (rows=7333333 width=1014)
- Output:["_col0"]
- Filter Operator [FIL_165] (rows=7333333 width=1014)
- predicate:(_col1 > 10L)
- Group By Operator [GBY_164] (rows=22000000 width=1014)
- Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
- <-Reducer 15 [SIMPLE_EDGE]
- SHUFFLE [RS_25]
- PartitionCols:_col0
- Group By Operator [GBY_24] (rows=44000000 width=1014)
- Output:["_col0","_col1"],aggregations:["count()"],keys:_col1
- Merge Join Operator [MERGEJOIN_115] (rows=44000000 width=1014)
- Conds:RS_160._col0=RS_163._col0(Inner),Output:["_col1"]
- <-Map 14 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_160]
- PartitionCols:_col0
- Select Operator [SEL_159] (rows=40000000 width=1014)
- Output:["_col0","_col1"]
- Filter Operator [FIL_158] (rows=40000000 width=1014)
- predicate:(ca_address_sk is not null and substr(substr(ca_zip, 1, 5), 1, 2) is not null)
- TableScan [TS_14] (rows=40000000 width=1014)
- default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_zip"]
- <-Map 18 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_163]
- PartitionCols:_col0
- Select Operator [SEL_162] (rows=40000000 width=860)
- Output:["_col0"]
- Filter Operator [FIL_161] (rows=40000000 width=860)
- predicate:((c_preferred_cust_flag = 'Y') and c_current_addr_sk is not null)
- TableScan [TS_17] (rows=80000000 width=860)
- default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_current_addr_sk","c_preferred_cust_flag"]
- <-Reducer 9 [CONTAINS] vectorized
- Reduce Output Operator [RS_157]
- PartitionCols:_col0
- Group By Operator [GBY_156] (rows=13666666 width=1014)
- Output:["_col0","_col1"],aggregations:["count(_col1)"],keys:_col0
- Group By Operator [GBY_155] (rows=10000000 width=1014)
- Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
- <-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_154]
- PartitionCols:_col0
- Group By Operator [GBY_153] (rows=20000000 width=1014)
- Output:["_col0","_col1"],aggregations:["count()"],keys:_col0
- Select Operator [SEL_152] (rows=20000000 width=1014)
- Output:["_col0"]
- Filter Operator [FIL_151] (rows=20000000 width=1014)
- predicate:((substr(ca_zip, 1, 5)) IN ('89436', '30868', '65085', '22977', '83927', '77557', '58429', '40697', '80614', '10502', '32779', '91137', '61265', '98294', '17921', '18427', '21203', '59362', '87291', '84093', '21505', '17184', '10866', '67898', '25797', '28055', '18377', '80332', '74535', '21757', '29742', '90885', '29898', '17819', '40811', '25990', '47513', '89531', '91068', '10391', '18846', '99223', '82637', '41368', '83658', '86199', '81625', '26696', '89338', '88425', '32200', '81427', '19053', '77471', '36610', '99823', '43276', '41249', '48584', '83550', '82276', '18842', '78890', '14090', '38123', '40936', '34425', '19850', '43286', '80072', '79188', '54191', '11395', '50497', '84861', '90733', '21068', '57666', '37119', '25004', '57835', '70067', '62878', '95806', '19303', '18840', '19124', '29785', '16737', '16022', '49613', '89977', '68310', '60069', '98360', '48649', '39050', '41793', '25002', '27413', '39736',
'47208', '16515', '94808', '57648', '15009', '80015', '42961', '63982', '21744', '71853', '81087', '67468', '34175', '64008', '20261', '11201', '51799', '48043', '45645', '61163', '48375', '36447', '57042', '21218', '41100', '89951', '22745', '35851', '83326', '61125', '78298', '80752', '49858', '52940', '96976', '63792', '11376', '53582', '18717', '90226', '50530', '94203', '99447', '27670', '96577', '57856', '56372', '16165', '23427', '54561', '28806', '44439', '22926', '30123', '61451', '92397', '56979', '92309', '70873', '13355', '21801', '46346', '37562', '56458', '28286', '47306', '99555', '69399', '26234', '47546', '49661', '88601', '35943', '39936', '25632', '24611', '44166', '56648', '30379', '59785', '11110', '14329', '93815', '52226', '71381', '13842', '25612', '63294', '14664', '21077', '82626', '18799', '60915', '81020', '56447', '76619', '11433', '13414', '42548', '92713', '70467', '30884', '47484', '16072', '38936', '13036', '88376', '45539', '35901', '19506', '65690'
, '73957', '71850', '49231', '14276', '20005', '18384', '76615', '11635', '38177', '55607', '41369', '95447', '58581', '58149', '91946', '33790', '76232', '75692', '95464', '22246', '51061', '56692', '53121', '77209', '15482', '10688', '14868', '45907', '73520', '72666', '25734', '17959', '24677', '66446', '94627', '53535', '15560', '41967', '69297', '11929', '59403', '33283', '52232', '57350', '43933', '40921', '36635', '10827', '71286', '19736', '80619', '25251', '95042', '15526', '36496', '55854', '49124', '81980', '35375', '49157', '63512', '28944', '14946', '36503', '54010', '18767', '23969', '43905', '66979', '33113', '21286', '58471', '59080', '13395', '79144', '70373', '67031', '38360', '26705', '50906', '52406', '26066', '73146', '15884', '31897', '30045', '61068', '45550', '92454', '13376', '14354', '19770', '22928', '97790', '50723', '46081', '30202', '14410', '20223', '88500', '67298', '13261', '14172', '81410', '93578', '83583', '46047', '94167', '82564', '21156', '1579
9', '86709', '37931', '74703', '83103', '23054', '70470', '72008', '49247', '91911', '69998', '20961', '70070', '63197', '54853', '88191', '91830', '49521', '19454', '81450', '89091', '62378', '25683', '61869', '51744', '36580', '85778', '36871', '48121', '28810', '83712', '45486', '67393', '26935', '42393', '20132', '55349', '86057', '21309', '80218', '10094', '11357', '48819', '39734', '40758', '30432', '21204', '29467', '30214', '61024', '55307', '74621', '11622', '68908', '33032', '52868', '99194', '99900', '84936', '69036', '99149', '45013', '32895', '59004', '32322', '14933', '32936', '33562', '72550', '27385', '58049', '58200', '16808', '21360', '32961', '18586', '79307', '15492') and substr(substr(ca_zip, 1, 5), 1, 2) is not null)
- TableScan [TS_6] (rows=40000000 width=1014)
- default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_zip"]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_52]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_114] (rows=633595212 width=88)
- Conds:RS_145._col0=RS_128._col0(Inner),Output:["_col1","_col2"]
- <-Map 6 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_128]
- PartitionCols:_col0
- Select Operator [SEL_127] (rows=18262 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_126] (rows=18262 width=1119)
- predicate:((d_qoy = 1) and (d_year = 2002) and d_date_sk is not null)
- TableScan [TS_3] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_145]
- PartitionCols:_col0
- Select Operator [SEL_144] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_143] (rows=575995635 width=88)
- predicate:((ss_sold_date_sk BETWEEN DynamicValue(RS_50_date_dim_d_date_sk_min) AND DynamicValue(RS_50_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_50_date_dim_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_53_store_s_store_sk_min) AND DynamicValue(RS_53_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_53_store_s_store_sk_bloom_filter))) 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_store_sk","ss_net_profit"]
- <-Reducer 13 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_142]
- Group By Operator [GBY_141] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Reducer 12 [CUSTOM_SIMPLE_EDGE]
- SHUFFLE [RS_91]
- Group By Operator [GBY_90] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_89] (rows=1874 width=1911)
- Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_116]
- <-Reducer 7 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_133]
- Group By Operator [GBY_132] (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_131]
- Group By Operator [GBY_130] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_129] (rows=18262 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_127]
+ Top N Key Operator [TNK_84] (rows=696954748 width=88)
+ keys:_col8,sort order:+,top n:100
+ Merge Join Operator [MERGEJOIN_118] (rows=696954748 width=88)
+ Conds:RS_52._col1=RS_53._col1(Inner),Output:["_col2","_col8"]
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_53]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_117] (rows=1874 width=1911)
+ Conds:RS_138.substr(_col0, 1, 2)=RS_141.substr(_col2, 1, 2)(Inner),Output:["_col1","_col2"]
+ <-Map 19 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_141]
+ PartitionCols:substr(_col2, 1, 2)
+ Select Operator [SEL_140] (rows=1704 width=1910)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_139] (rows=1704 width=1910)
+ predicate:(s_store_sk is not null and substr(s_zip, 1, 2) is not null)
+ TableScan [TS_42] (rows=1704 width=1910)
+ default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_name","s_zip"]
+ <-Reducer 11 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_138]
+ PartitionCols:substr(_col0, 1, 2)
+ Select Operator [SEL_137] (rows=1 width=1014)
+ Output:["_col0"]
+ Filter Operator [FIL_136] (rows=1 width=1014)
+ predicate:(_col1 = 2L)
+ Group By Operator [GBY_135] (rows=6833333 width=1014)
+ Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
+ <-Union 10 [SIMPLE_EDGE]
+ <-Reducer 17 [CONTAINS] vectorized
+ Reduce Output Operator [RS_172]
+ PartitionCols:_col0
+ Group By Operator [GBY_171] (rows=13666666 width=1014)
+ Output:["_col0","_col1"],aggregations:["count(_col1)"],keys:_col0
+ Group By Operator [GBY_170] (rows=3666666 width=1014)
+ Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 16 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_169]
+ PartitionCols:_col0
+ Group By Operator [GBY_168] (rows=7333333 width=1014)
+ Output:["_col0","_col1"],aggregations:["count()"],keys:_col0
+ Select Operator [SEL_167] (rows=7333333 width=1014)
+ Output:["_col0"]
+ Filter Operator [FIL_166] (rows=7333333 width=1014)
+ predicate:(_col1 > 10L)
+ Group By Operator [GBY_165] (rows=22000000 width=1014)
+ Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 15 [SIMPLE_EDGE]
+ SHUFFLE [RS_25]
+ PartitionCols:_col0
+ Group By Operator [GBY_24] (rows=44000000 width=1014)
+ Output:["_col0","_col1"],aggregations:["count()"],keys:_col1
+ Merge Join Operator [MERGEJOIN_116] (rows=44000000 width=1014)
+ Conds:RS_161._col0=RS_164._col0(Inner),Output:["_col1"]
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_161]
+ PartitionCols:_col0
+ Select Operator [SEL_160] (rows=40000000 width=1014)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_159] (rows=40000000 width=1014)
+ predicate:(ca_address_sk is not null and substr(substr(ca_zip, 1, 5), 1, 2) is not null)
+ TableScan [TS_14] (rows=40000000 width=1014)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_zip"]
+ <-Map 18 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_164]
+ PartitionCols:_col0
+ Select Operator [SEL_163] (rows=40000000 width=860)
+ Output:["_col0"]
+ Filter Operator [FIL_162] (rows=40000000 width=860)
+ predicate:((c_preferred_cust_flag = 'Y') and c_current_addr_sk is not null)
+ TableScan [TS_17] (rows=80000000 width=860)
+ default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_current_addr_sk","c_preferred_cust_flag"]
+ <-Reducer 9 [CONTAINS] vectorized
+ Reduce Output Operator [RS_158]
+ PartitionCols:_col0
+ Group By Operator [GBY_157] (rows=13666666 width=1014)
+ Output:["_col0","_col1"],aggregations:["count(_col1)"],keys:_col0
+ Group By Operator [GBY_156] (rows=10000000 width=1014)
+ Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_155]
+ PartitionCols:_col0
+ Group By Operator [GBY_154] (rows=20000000 width=1014)
+ Output:["_col0","_col1"],aggregations:["count()"],keys:_col0
+ Select Operator [SEL_153] (rows=20000000 width=1014)
+ Output:["_col0"]
+ Filter Operator [FIL_152] (rows=20000000 width=1014)
+ predicate:((substr(ca_zip, 1, 5)) IN ('89436', '30868', '65085', '22977', '83927', '77557', '58429', '40697', '80614', '10502', '32779', '91137', '61265', '98294', '17921', '18427', '21203', '59362', '87291', '84093', '21505', '17184', '10866', '67898', '25797', '28055', '18377', '80332', '74535', '21757', '29742', '90885', '29898', '17819', '40811', '25990', '47513', '89531', '91068', '10391', '18846', '99223', '82637', '41368', '83658', '86199', '81625', '26696', '89338', '88425', '32200', '81427', '19053', '77471', '36610', '99823', '43276', '41249', '48584', '83550', '82276', '18842', '78890', '14090', '38123', '40936', '34425', '19850', '43286', '80072', '79188', '54191', '11395', '50497', '84861', '90733', '21068', '57666', '37119', '25004', '57835', '70067', '62878', '95806', '19303', '18840', '19124', '29785', '16737', '16022', '49613', '89977', '68310', '60069', '98360', '48649', '39050', '41793', '25002', '27413', '39736'
, '47208', '16515', '94808', '57648', '15009', '80015', '42961', '63982', '21744', '71853', '81087', '67468', '34175', '64008', '20261', '11201', '51799', '48043', '45645', '61163', '48375', '36447', '57042', '21218', '41100', '89951', '22745', '35851', '83326', '61125', '78298', '80752', '49858', '52940', '96976', '63792', '11376', '53582', '18717', '90226', '50530', '94203', '99447', '27670', '96577', '57856', '56372', '16165', '23427', '54561', '28806', '44439', '22926', '30123', '61451', '92397', '56979', '92309', '70873', '13355', '21801', '46346', '37562', '56458', '28286', '47306', '99555', '69399', '26234', '47546', '49661', '88601', '35943', '39936', '25632', '24611', '44166', '56648', '30379', '59785', '11110', '14329', '93815', '52226', '71381', '13842', '25612', '63294', '14664', '21077', '82626', '18799', '60915', '81020', '56447', '76619', '11433', '13414', '42548', '92713', '70467', '30884', '47484', '16072', '38936', '13036', '88376', '45539', '35901', '19506', '6569
0', '73957', '71850', '49231', '14276', '20005', '18384', '76615', '11635', '38177', '55607', '41369', '95447', '58581', '58149', '91946', '33790', '76232', '75692', '95464', '22246', '51061', '56692', '53121', '77209', '15482', '10688', '14868', '45907', '73520', '72666', '25734', '17959', '24677', '66446', '94627', '53535', '15560', '41967', '69297', '11929', '59403', '33283', '52232', '57350', '43933', '40921', '36635', '10827', '71286', '19736', '80619', '25251', '95042', '15526', '36496', '55854', '49124', '81980', '35375', '49157', '63512', '28944', '14946', '36503', '54010', '18767', '23969', '43905', '66979', '33113', '21286', '58471', '59080', '13395', '79144', '70373', '67031', '38360', '26705', '50906', '52406', '26066', '73146', '15884', '31897', '30045', '61068', '45550', '92454', '13376', '14354', '19770', '22928', '97790', '50723', '46081', '30202', '14410', '20223', '88500', '67298', '13261', '14172', '81410', '93578', '83583', '46047', '94167', '82564', '21156', '15
799', '86709', '37931', '74703', '83103', '23054', '70470', '72008', '49247', '91911', '69998', '20961', '70070', '63197', '54853', '88191', '91830', '49521', '19454', '81450', '89091', '62378', '25683', '61869', '51744', '36580', '85778', '36871', '48121', '28810', '83712', '45486', '67393', '26935', '42393', '20132', '55349', '86057', '21309', '80218', '10094', '11357', '48819', '39734', '40758', '30432', '21204', '29467', '30214', '61024', '55307', '74621', '11622', '68908', '33032', '52868', '99194', '99900', '84936', '69036', '99149', '45013', '32895', '59004', '32322', '14933', '32936', '33562', '72550', '27385', '58049', '58200', '16808', '21360', '32961', '18586', '79307', '15492') and substr(substr(ca_zip, 1, 5), 1, 2) is not null)
+ TableScan [TS_6] (rows=40000000 width=1014)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_zip"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_52]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_115] (rows=633595212 width=88)
+ Conds:RS_146._col0=RS_129._col0(Inner),Output:["_col1","_col2"]
+ <-Map 6 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_129]
+ PartitionCols:_col0
+ Select Operator [SEL_128] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_127] (rows=18262 width=1119)
+ predicate:((d_qoy = 1) and (d_year = 2002) and d_date_sk is not null)
+ TableScan [TS_3] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_146]
+ PartitionCols:_col0
+ Select Operator [SEL_145] (rows=575995635 width=88)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_144] (rows=575995635 width=88)
+ predicate:((ss_sold_date_sk BETWEEN DynamicValue(RS_50_date_dim_d_date_sk_min) AND DynamicValue(RS_50_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_50_date_dim_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_53_store_s_store_sk_min) AND DynamicValue(RS_53_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_53_store_s_store_sk_bloom_filter))) 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_store_sk","ss_net_profit"]
+ <-Reducer 13 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_143]
+ Group By Operator [GBY_142] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Reducer 12 [CUSTOM_SIMPLE_EDGE]
+ SHUFFLE [RS_92]
+ Group By Operator [GBY_91] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_90] (rows=1874 width=1911)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_117]
+ <-Reducer 7 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_134]
+ Group By Operator [GBY_133] (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_132]
+ Group By Operator [GBY_131] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_130] (rows=18262 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_128]