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Posted to commits@hive.apache.org by ha...@apache.org on 2018/07/14 05:16:34 UTC
[11/12] hive git commit: HIVE-20090 : Extend creation of semijoin
reduction filters to be able to discover new opportunities (Jesus Camacho
Rodriguez via Deepak Jaiswal)
http://git-wip-us.apache.org/repos/asf/hive/blob/ab9e954d/ql/src/test/results/clientpositive/perf/tez/query16.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query16.q.out b/ql/src/test/results/clientpositive/perf/tez/query16.q.out
index 0b64c55..5652f3b 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query16.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query16.q.out
@@ -80,22 +80,22 @@ Stage-0
limit:-1
Stage-1
Reducer 9 vectorized
- File Output Operator [FS_174]
- Limit [LIM_173] (rows=1 width=344)
+ File Output Operator [FS_176]
+ Limit [LIM_175] (rows=1 width=344)
Number of rows:100
- Select Operator [SEL_172] (rows=1 width=344)
+ Select Operator [SEL_174] (rows=1 width=344)
Output:["_col0","_col1","_col2"]
<-Reducer 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_171]
- Select Operator [SEL_170] (rows=1 width=344)
+ SHUFFLE [RS_173]
+ Select Operator [SEL_172] (rows=1 width=344)
Output:["_col1","_col2","_col3"]
- Group By Operator [GBY_169] (rows=1 width=344)
+ Group By Operator [GBY_171] (rows=1 width=344)
Output:["_col0","_col1","_col2"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"]
<-Reducer 7 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_168]
- Group By Operator [GBY_167] (rows=1 width=344)
+ PARTITION_ONLY_SHUFFLE [RS_170]
+ Group By Operator [GBY_169] (rows=1 width=344)
Output:["_col0","_col1","_col2"],aggregations:["count(_col0)","sum(_col1)","sum(_col2)"]
- Group By Operator [GBY_166] (rows=231905279 width=135)
+ Group By Operator [GBY_168] (rows=231905279 width=135)
Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0
<-Reducer 6 [SIMPLE_EDGE]
SHUFFLE [RS_74]
@@ -106,21 +106,21 @@ Stage-0
Output:["_col4","_col5","_col6"]
Filter Operator [FIL_41] (rows=231905279 width=135)
predicate:_col14 is null
- Merge Join Operator [MERGEJOIN_128] (rows=463810558 width=135)
- Conds:RS_38._col4=RS_165._col0(Left Outer),Output:["_col4","_col5","_col6","_col14"]
+ Merge Join Operator [MERGEJOIN_130] (rows=463810558 width=135)
+ Conds:RS_38._col4=RS_167._col0(Left Outer),Output:["_col4","_col5","_col6","_col14"]
<-Reducer 18 [ONE_TO_ONE_EDGE] vectorized
- FORWARD [RS_165]
+ FORWARD [RS_167]
PartitionCols:_col0
- Select Operator [SEL_164] (rows=14399440 width=106)
+ Select Operator [SEL_166] (rows=14399440 width=106)
Output:["_col0","_col1"]
- Group By Operator [GBY_163] (rows=14399440 width=106)
+ Group By Operator [GBY_165] (rows=14399440 width=106)
Output:["_col0"],keys:KEY._col0
<-Map 17 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_162]
+ SHUFFLE [RS_164]
PartitionCols:_col0
- Group By Operator [GBY_161] (rows=28798881 width=106)
+ Group By Operator [GBY_163] (rows=28798881 width=106)
Output:["_col0"],keys:cr_order_number
- Filter Operator [FIL_160] (rows=28798881 width=106)
+ Filter Operator [FIL_162] (rows=28798881 width=106)
predicate:cr_order_number is not null
TableScan [TS_25] (rows=28798881 width=106)
default@catalog_returns,cr1,Tbl:COMPLETE,Col:NONE,Output:["cr_order_number"]
@@ -129,101 +129,101 @@ Stage-0
PartitionCols:_col4
Select Operator [SEL_37] (rows=421645953 width=135)
Output:["_col4","_col5","_col6"]
- Merge Join Operator [MERGEJOIN_127] (rows=421645953 width=135)
- Conds:RS_34._col4=RS_159._col0(Left Semi),Output:["_col3","_col4","_col5","_col6","_col14"],residual filter predicates:{(_col3 <> _col14)}
+ Merge Join Operator [MERGEJOIN_129] (rows=421645953 width=135)
+ Conds:RS_34._col4=RS_161._col0(Left Semi),Output:["_col3","_col4","_col5","_col6","_col14"],residual filter predicates:{(_col3 <> _col14)}
<-Map 16 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_159]
+ SHUFFLE [RS_161]
PartitionCols:_col0
- Group By Operator [GBY_158] (rows=287989836 width=135)
+ Group By Operator [GBY_160] (rows=287989836 width=135)
Output:["_col0","_col1"],keys:_col0, _col1
- Select Operator [SEL_157] (rows=287989836 width=135)
+ Select Operator [SEL_159] (rows=287989836 width=135)
Output:["_col0","_col1"]
- Filter Operator [FIL_156] (rows=287989836 width=135)
+ Filter Operator [FIL_158] (rows=287989836 width=135)
predicate:(cs_order_number is not null and cs_warehouse_sk is not null)
TableScan [TS_22] (rows=287989836 width=135)
default@catalog_sales,cs2,Tbl:COMPLETE,Col:NONE,Output:["cs_warehouse_sk","cs_order_number"]
<-Reducer 4 [SIMPLE_EDGE]
SHUFFLE [RS_34]
PartitionCols:_col4
- Merge Join Operator [MERGEJOIN_126] (rows=383314495 width=135)
- Conds:RS_18._col2=RS_147._col0(Inner),Output:["_col3","_col4","_col5","_col6"]
+ Merge Join Operator [MERGEJOIN_128] (rows=383314495 width=135)
+ Conds:RS_18._col2=RS_149._col0(Inner),Output:["_col3","_col4","_col5","_col6"]
<-Map 14 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_147]
+ SHUFFLE [RS_149]
PartitionCols:_col0
- Select Operator [SEL_146] (rows=30 width=2045)
+ Select Operator [SEL_148] (rows=30 width=2045)
Output:["_col0"]
- Filter Operator [FIL_145] (rows=30 width=2045)
+ Filter Operator [FIL_147] (rows=30 width=2045)
predicate:((cc_county) IN ('Ziebach County', 'Levy County', 'Huron County', 'Franklin Parish', 'Daviess County') and cc_call_center_sk is not null)
TableScan [TS_9] (rows=60 width=2045)
default@call_center,call_center,Tbl:COMPLETE,Col:NONE,Output:["cc_call_center_sk","cc_county"]
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_18]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_125] (rows=348467716 width=135)
- Conds:RS_15._col1=RS_139._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6"]
+ Merge Join Operator [MERGEJOIN_127] (rows=348467716 width=135)
+ Conds:RS_15._col1=RS_141._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6"]
<-Map 12 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_139]
+ SHUFFLE [RS_141]
PartitionCols:_col0
- Select Operator [SEL_138] (rows=20000000 width=1014)
+ Select Operator [SEL_140] (rows=20000000 width=1014)
Output:["_col0"]
- Filter Operator [FIL_137] (rows=20000000 width=1014)
+ Filter Operator [FIL_139] (rows=20000000 width=1014)
predicate:((ca_state = 'NY') and ca_address_sk is not null)
TableScan [TS_6] (rows=40000000 width=1014)
default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_15]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_124] (rows=316788826 width=135)
- Conds:RS_155._col0=RS_131._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
+ Merge Join Operator [MERGEJOIN_126] (rows=316788826 width=135)
+ Conds:RS_157._col0=RS_133._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
<-Map 10 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_131]
+ SHUFFLE [RS_133]
PartitionCols:_col0
- Select Operator [SEL_130] (rows=8116 width=1119)
+ Select Operator [SEL_132] (rows=8116 width=1119)
Output:["_col0"]
- Filter Operator [FIL_129] (rows=8116 width=1119)
+ Filter Operator [FIL_131] (rows=8116 width=1119)
predicate:(CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-04-01 00:00:00' AND TIMESTAMP'2001-05-31 00:00:00' 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_date"]
<-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_155]
+ SHUFFLE [RS_157]
PartitionCols:_col0
- Select Operator [SEL_154] (rows=287989836 width=135)
+ Select Operator [SEL_156] (rows=287989836 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- Filter Operator [FIL_153] (rows=287989836 width=135)
+ Filter Operator [FIL_155] (rows=287989836 width=135)
predicate:((cs_call_center_sk BETWEEN DynamicValue(RS_19_call_center_cc_call_center_sk_min) AND DynamicValue(RS_19_call_center_cc_call_center_sk_max) and in_bloom_filter(cs_call_center_sk, DynamicValue(RS_19_call_center_cc_call_center_sk_bloom_filter))) and (cs_ship_addr_sk BETWEEN DynamicValue(RS_16_customer_address_ca_address_sk_min) AND DynamicValue(RS_16_customer_address_ca_address_sk_max) and in_bloom_filter(cs_ship_addr_sk, DynamicValue(RS_16_customer_address_ca_address_sk_bloom_filter))) and (cs_ship_date_sk BETWEEN DynamicValue(RS_13_date_dim_d_date_sk_min) AND DynamicValue(RS_13_date_dim_d_date_sk_max) and in_bloom_filter(cs_ship_date_sk, DynamicValue(RS_13_date_dim_d_date_sk_bloom_filter))) and cs_call_center_sk is not null and cs_order_number is not null and cs_ship_addr_sk is not null and cs_ship_date_sk is not null)
TableScan [TS_0] (rows=287989836 width=135)
default@catalog_sales,cs1,Tbl:COMPLETE,Col:NONE,Output:["cs_ship_date_sk","cs_ship_addr_sk","cs_call_center_sk","cs_warehouse_sk","cs_order_number","cs_ext_ship_cost","cs_net_profit"]
<-Reducer 11 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_136]
- Group By Operator [GBY_135] (rows=1 width=12)
+ BROADCAST [RS_138]
+ Group By Operator [GBY_137] (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_134]
- Group By Operator [GBY_133] (rows=1 width=12)
+ SHUFFLE [RS_136]
+ Group By Operator [GBY_135] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_132] (rows=8116 width=1119)
+ Select Operator [SEL_134] (rows=8116 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_130]
+ Please refer to the previous Select Operator [SEL_132]
<-Reducer 13 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_144]
- Group By Operator [GBY_143] (rows=1 width=12)
+ BROADCAST [RS_146]
+ Group By Operator [GBY_145] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=20000000)"]
<-Map 12 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_142]
- Group By Operator [GBY_141] (rows=1 width=12)
+ SHUFFLE [RS_144]
+ Group By Operator [GBY_143] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=20000000)"]
- Select Operator [SEL_140] (rows=20000000 width=1014)
+ Select Operator [SEL_142] (rows=20000000 width=1014)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_138]
+ Please refer to the previous Select Operator [SEL_140]
<-Reducer 15 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_152]
- Group By Operator [GBY_151] (rows=1 width=12)
+ BROADCAST [RS_154]
+ Group By Operator [GBY_153] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_150]
- Group By Operator [GBY_149] (rows=1 width=12)
+ SHUFFLE [RS_152]
+ Group By Operator [GBY_151] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_148] (rows=30 width=2045)
+ Select Operator [SEL_150] (rows=30 width=2045)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_146]
+ Please refer to the previous Select Operator [SEL_148]
http://git-wip-us.apache.org/repos/asf/hive/blob/ab9e954d/ql/src/test/results/clientpositive/perf/tez/query17.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query17.q.out b/ql/src/test/results/clientpositive/perf/tez/query17.q.out
index 2e5e254..620d88a 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query17.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query17.q.out
@@ -89,8 +89,8 @@ POSTHOOK: type: QUERY
Plan optimized by CBO.
Vertex dependency in root stage
-Map 1 <- Reducer 17 (BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE)
-Map 18 <- Reducer 12 (BROADCAST_EDGE), Reducer 14 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE)
+Map 1 <- Reducer 14 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE)
+Map 18 <- Reducer 12 (BROADCAST_EDGE), Reducer 14 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE)
Reducer 10 <- Map 18 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
Reducer 11 <- Reducer 10 (SIMPLE_EDGE), Reducer 13 (SIMPLE_EDGE)
Reducer 12 <- Map 8 (CUSTOM_SIMPLE_EDGE)
@@ -112,16 +112,16 @@ Stage-0
limit:100
Stage-1
Reducer 7 vectorized
- File Output Operator [FS_256]
- Limit [LIM_255] (rows=100 width=88)
+ File Output Operator [FS_269]
+ Limit [LIM_268] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_254] (rows=421657640 width=88)
+ Select Operator [SEL_267] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"]
<-Reducer 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_253]
- Select Operator [SEL_252] (rows=421657640 width=88)
+ SHUFFLE [RS_266]
+ Select Operator [SEL_265] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
- Group By Operator [GBY_251] (rows=421657640 width=88)
+ Group By Operator [GBY_264] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","count(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)","sum(VALUE._col7)","count(VALUE._col8)","sum(VALUE._col9)","sum(VALUE._col10)","sum(VALUE._col11)"],keys:KEY._col0, KEY._col1, KEY._col2
<-Reducer 5 [SIMPLE_EDGE]
SHUFFLE [RS_50]
@@ -130,172 +130,181 @@ Stage-0
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"],aggregations:["count(_col3)","sum(_col3)","sum(_col7)","sum(_col6)","count(_col4)","sum(_col4)","sum(_col9)","sum(_col8)","count(_col5)","sum(_col5)","sum(_col11)","sum(_col10)"],keys:_col0, _col1, _col2
Select Operator [SEL_47] (rows=843315281 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"]
- Merge Join Operator [MERGEJOIN_202] (rows=843315281 width=88)
- Conds:RS_44._col3=RS_230._col0(Inner),Output:["_col5","_col9","_col10","_col14","_col21","_col25"]
+ Merge Join Operator [MERGEJOIN_212] (rows=843315281 width=88)
+ Conds:RS_44._col3=RS_250._col0(Inner),Output:["_col5","_col9","_col10","_col14","_col21","_col25"]
<-Map 20 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_230]
+ SHUFFLE [RS_250]
PartitionCols:_col0
- Select Operator [SEL_229] (rows=1704 width=1910)
+ Select Operator [SEL_249] (rows=1704 width=1910)
Output:["_col0","_col1"]
- Filter Operator [FIL_228] (rows=1704 width=1910)
+ Filter Operator [FIL_248] (rows=1704 width=1910)
predicate:s_store_sk is not null
TableScan [TS_32] (rows=1704 width=1910)
default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_state"]
<-Reducer 4 [SIMPLE_EDGE]
SHUFFLE [RS_44]
PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_201] (rows=766650239 width=88)
+ Merge Join Operator [MERGEJOIN_211] (rows=766650239 width=88)
Conds:RS_41._col1, _col2, _col4=RS_42._col7, _col8, _col9(Inner),Output:["_col3","_col5","_col9","_col10","_col14","_col21"]
<-Reducer 11 [SIMPLE_EDGE]
SHUFFLE [RS_42]
PartitionCols:_col7, _col8, _col9
- Merge Join Operator [MERGEJOIN_200] (rows=348467716 width=135)
+ Merge Join Operator [MERGEJOIN_210] (rows=348467716 width=135)
Conds:RS_28._col2, _col1=RS_29._col1, _col2(Inner),Output:["_col3","_col7","_col8","_col9","_col10"]
<-Reducer 13 [SIMPLE_EDGE]
PARTITION_ONLY_SHUFFLE [RS_29]
PartitionCols:_col1, _col2
- Merge Join Operator [MERGEJOIN_199] (rows=63350266 width=77)
- Conds:RS_243._col0=RS_213._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
+ Merge Join Operator [MERGEJOIN_209] (rows=63350266 width=77)
+ Conds:RS_241._col0=RS_223._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
<-Map 8 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_213]
+ PARTITION_ONLY_SHUFFLE [RS_223]
PartitionCols:_col0
- Select Operator [SEL_208] (rows=36525 width=1119)
+ Select Operator [SEL_218] (rows=36525 width=1119)
Output:["_col0"]
- Filter Operator [FIL_205] (rows=36525 width=1119)
+ Filter Operator [FIL_215] (rows=36525 width=1119)
predicate:((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null)
TableScan [TS_3] (rows=73049 width=1119)
default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_quarter_name"]
<-Map 19 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_243]
+ SHUFFLE [RS_241]
PartitionCols:_col0
- Select Operator [SEL_242] (rows=57591150 width=77)
+ Select Operator [SEL_240] (rows=57591150 width=77)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_241] (rows=57591150 width=77)
+ Filter Operator [FIL_239] (rows=57591150 width=77)
predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null)
TableScan [TS_15] (rows=57591150 width=77)
default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_return_quantity"]
<-Reducer 10 [SIMPLE_EDGE]
SHUFFLE [RS_28]
PartitionCols:_col2, _col1
- Merge Join Operator [MERGEJOIN_198] (rows=316788826 width=135)
- Conds:RS_250._col0=RS_211._col0(Inner),Output:["_col1","_col2","_col3"]
+ Merge Join Operator [MERGEJOIN_208] (rows=316788826 width=135)
+ Conds:RS_263._col0=RS_221._col0(Inner),Output:["_col1","_col2","_col3"]
<-Map 8 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_211]
+ PARTITION_ONLY_SHUFFLE [RS_221]
PartitionCols:_col0
- Select Operator [SEL_207] (rows=36525 width=1119)
+ Select Operator [SEL_217] (rows=36525 width=1119)
Output:["_col0"]
- Filter Operator [FIL_204] (rows=36525 width=1119)
+ Filter Operator [FIL_214] (rows=36525 width=1119)
predicate:((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null)
Please refer to the previous TableScan [TS_3]
<-Map 18 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_250]
+ SHUFFLE [RS_263]
PartitionCols:_col0
- Select Operator [SEL_249] (rows=287989836 width=135)
+ Select Operator [SEL_262] (rows=287989836 width=135)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_248] (rows=287989836 width=135)
- predicate:((cs_bill_customer_sk BETWEEN DynamicValue(RS_29_store_returns_sr_customer_sk_min) AND DynamicValue(RS_29_store_returns_sr_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_29_store_returns_sr_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_29_store_returns_sr_item_sk_min) AND DynamicValue(RS_29_store_returns_sr_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_29_store_returns_sr_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_26_d3_d_date_sk_min) AND DynamicValue(RS_26_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_26_d3_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)
+ Filter Operator [FIL_261] (rows=287989836 width=135)
+ predicate:((cs_bill_customer_sk BETWEEN DynamicValue(RS_29_store_returns_sr_customer_sk_min) AND DynamicValue(RS_29_store_returns_sr_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_29_store_returns_sr_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_29_store_returns_sr_item_sk_min) AND DynamicValue(RS_29_store_returns_sr_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_29_store_returns_sr_item_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_39_item_i_item_sk_min) AND DynamicValue(RS_39_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_39_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_26_d3_d_date_sk_min) AND DynamicValue(RS_26_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_26_d3_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_9] (rows=287989836 width=135)
default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_quantity"]
- <-Reducer 12 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_240]
- Group By Operator [GBY_239] (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_217]
- Group By Operator [GBY_215] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_212] (rows=36525 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_207]
<-Reducer 14 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_245]
- Group By Operator [GBY_244] (rows=1 width=12)
+ BROADCAST [RS_244]
+ Group By Operator [GBY_242] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"]
<-Reducer 13 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_141]
- Group By Operator [GBY_140] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_110]
+ Group By Operator [GBY_109] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
- Select Operator [SEL_139] (rows=63350266 width=77)
+ Select Operator [SEL_108] (rows=63350266 width=77)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_199]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_209]
<-Reducer 15 [BROADCAST_EDGE] vectorized
BROADCAST [RS_247]
- Group By Operator [GBY_246] (rows=1 width=12)
+ Group By Operator [GBY_245] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"]
<-Reducer 13 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_146]
- Group By Operator [GBY_145] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_125]
+ Group By Operator [GBY_124] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
- Select Operator [SEL_144] (rows=63350266 width=77)
+ Select Operator [SEL_123] (rows=63350266 width=77)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_209]
+ <-Reducer 17 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_238]
+ Group By Operator [GBY_236] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 16 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_235]
+ Group By Operator [GBY_234] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_233] (rows=462000 width=1436)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_199]
+ Select Operator [SEL_231] (rows=462000 width=1436)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_230] (rows=462000 width=1436)
+ predicate: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_item_id","i_item_desc"]
+ <-Reducer 12 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_260]
+ Group By Operator [GBY_259] (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_227]
+ Group By Operator [GBY_225] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_222] (rows=36525 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_217]
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_41]
PartitionCols:_col1, _col2, _col4
- Merge Join Operator [MERGEJOIN_197] (rows=696954748 width=88)
- Conds:RS_38._col1=RS_222._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col9","_col10"]
+ Merge Join Operator [MERGEJOIN_207] (rows=696954748 width=88)
+ Conds:RS_38._col1=RS_232._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col9","_col10"]
<-Map 16 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_222]
+ SHUFFLE [RS_232]
PartitionCols:_col0
- Select Operator [SEL_221] (rows=462000 width=1436)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_220] (rows=462000 width=1436)
- predicate: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_item_id","i_item_desc"]
+ Please refer to the previous Select Operator [SEL_231]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_38]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_196] (rows=633595212 width=88)
- Conds:RS_238._col0=RS_209._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_206] (rows=633595212 width=88)
+ Conds:RS_258._col0=RS_219._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
<-Map 8 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_209]
+ PARTITION_ONLY_SHUFFLE [RS_219]
PartitionCols:_col0
- Select Operator [SEL_206] (rows=36524 width=1119)
+ Select Operator [SEL_216] (rows=36524 width=1119)
Output:["_col0"]
- Filter Operator [FIL_203] (rows=36524 width=1119)
+ Filter Operator [FIL_213] (rows=36524 width=1119)
predicate:((d_quarter_name = '2000Q1') and d_date_sk is not null)
Please refer to the previous TableScan [TS_3]
<-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_238]
+ SHUFFLE [RS_258]
PartitionCols:_col0
- Select Operator [SEL_237] (rows=575995635 width=88)
+ Select Operator [SEL_257] (rows=575995635 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Filter Operator [FIL_236] (rows=575995635 width=88)
- predicate:((ss_item_sk BETWEEN DynamicValue(RS_39_item_i_item_sk_min) AND DynamicValue(RS_39_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_39_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_36_d1_d_date_sk_min) AND DynamicValue(RS_36_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_36_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_45_store_s_store_sk_min) AND DynamicValue(RS_45_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_45_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null)
+ Filter Operator [FIL_256] (rows=575995635 width=88)
+ predicate:((ss_customer_sk BETWEEN DynamicValue(RS_29_store_returns_sr_customer_sk_min) AND DynamicValue(RS_29_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_29_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_29_store_returns_sr_item_sk_min) AND DynamicValue(RS_29_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_29_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_39_item_i_item_sk_min) AND DynamicValue(RS_39_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_39_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_36_d1_d_date_sk_min) AND DynamicValue(RS_36_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_36_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_45_store_s_store_sk_min) AND DynamicValue(RS_45_store_s_store_sk_max)
and in_bloom_filter(ss_store_sk, DynamicValue(RS_45_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number 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_customer_sk","ss_store_sk","ss_ticket_number","ss_quantity"]
+ <-Reducer 14 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_243]
+ Please refer to the previous Group By Operator [GBY_242]
+ <-Reducer 15 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_246]
+ Please refer to the previous Group By Operator [GBY_245]
<-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_227]
- Group By Operator [GBY_226] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 16 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_225]
- Group By Operator [GBY_224] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_223] (rows=462000 width=1436)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_221]
+ BROADCAST [RS_237]
+ Please refer to the previous Group By Operator [GBY_236]
<-Reducer 21 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_235]
- Group By Operator [GBY_234] (rows=1 width=12)
+ BROADCAST [RS_255]
+ Group By Operator [GBY_254] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_233]
- Group By Operator [GBY_232] (rows=1 width=12)
+ SHUFFLE [RS_253]
+ Group By Operator [GBY_252] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_231] (rows=1704 width=1910)
+ Select Operator [SEL_251] (rows=1704 width=1910)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_229]
+ Please refer to the previous Select Operator [SEL_249]
<-Reducer 9 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_219]
- Group By Operator [GBY_218] (rows=1 width=12)
+ BROADCAST [RS_229]
+ Group By Operator [GBY_228] (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_216]
- Group By Operator [GBY_214] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_226]
+ Group By Operator [GBY_224] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_210] (rows=36524 width=1119)
+ Select Operator [SEL_220] (rows=36524 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_206]
+ Please refer to the previous Select Operator [SEL_216]
http://git-wip-us.apache.org/repos/asf/hive/blob/ab9e954d/ql/src/test/results/clientpositive/perf/tez/query18.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query18.q.out b/ql/src/test/results/clientpositive/perf/tez/query18.q.out
index e858527..1b9b2fb 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query18.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query18.q.out
@@ -86,16 +86,16 @@ Stage-0
limit:100
Stage-1
Reducer 6 vectorized
- File Output Operator [FS_187]
- Limit [LIM_186] (rows=100 width=135)
+ File Output Operator [FS_189]
+ Limit [LIM_188] (rows=100 width=135)
Number of rows:100
- Select Operator [SEL_185] (rows=1054114882 width=135)
+ Select Operator [SEL_187] (rows=1054114882 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
<-Reducer 5 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_184]
- Select Operator [SEL_183] (rows=1054114882 width=135)
+ SHUFFLE [RS_186]
+ Select Operator [SEL_185] (rows=1054114882 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
- Group By Operator [GBY_182] (rows=1054114882 width=135)
+ Group By Operator [GBY_184] (rows=1054114882 width=135)
Output:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","sum(VALUE._col2)","count(VALUE._col3)","sum(VALUE._col4)","count(VALUE._col5)","sum(VALUE._col6)","count(VALUE._col7)","sum(VALUE._col8)","count(VALUE._col9)","sum(VALUE._col10)","count(VALUE._col11)","sum(VALUE._col12)","count(VALUE._col13)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4
<-Reducer 4 [SIMPLE_EDGE]
SHUFFLE [RS_43]
@@ -104,42 +104,42 @@ Stage-0
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"],aggregations:["sum(_col4)","count(_col4)","sum(_col5)","count(_col5)","sum(_col6)","count(_col6)","sum(_col7)","count(_col7)","sum(_col8)","count(_col8)","sum(_col9)","count(_col9)","sum(_col10)","count(_col10)"],keys:_col0, _col1, _col2, _col3, 0L
Select Operator [SEL_40] (rows=421645953 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
- Merge Join Operator [MERGEJOIN_143] (rows=421645953 width=135)
+ Merge Join Operator [MERGEJOIN_145] (rows=421645953 width=135)
Conds:RS_37._col0=RS_38._col3(Inner),Output:["_col4","_col6","_col7","_col8","_col11","_col16","_col17","_col18","_col19","_col20","_col26"]
<-Reducer 3 [SIMPLE_EDGE]
PARTITION_ONLY_SHUFFLE [RS_37]
PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_139] (rows=48400001 width=860)
- Conds:RS_34._col1=RS_152._col0(Inner),Output:["_col0","_col4","_col6","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_141] (rows=48400001 width=860)
+ Conds:RS_34._col1=RS_154._col0(Inner),Output:["_col0","_col4","_col6","_col7","_col8"]
<-Map 9 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_152]
+ SHUFFLE [RS_154]
PartitionCols:_col0
- Select Operator [SEL_151] (rows=1861800 width=385)
+ Select Operator [SEL_153] (rows=1861800 width=385)
Output:["_col0"]
- Filter Operator [FIL_150] (rows=1861800 width=385)
+ Filter Operator [FIL_152] (rows=1861800 width=385)
predicate:cd_demo_sk is not null
TableScan [TS_6] (rows=1861800 width=385)
default@customer_demographics,cd2,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_34]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_138] (rows=44000000 width=860)
- Conds:RS_146._col2=RS_149._col0(Inner),Output:["_col0","_col1","_col4","_col6","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_140] (rows=44000000 width=860)
+ Conds:RS_148._col2=RS_151._col0(Inner),Output:["_col0","_col1","_col4","_col6","_col7","_col8"]
<-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_146]
+ SHUFFLE [RS_148]
PartitionCols:_col2
- Select Operator [SEL_145] (rows=40000000 width=860)
+ Select Operator [SEL_147] (rows=40000000 width=860)
Output:["_col0","_col1","_col2","_col4"]
- Filter Operator [FIL_144] (rows=40000000 width=860)
+ Filter Operator [FIL_146] (rows=40000000 width=860)
predicate:((c_birth_month) IN (9, 5, 12, 4, 1, 10) and c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_customer_sk is not null)
TableScan [TS_0] (rows=80000000 width=860)
default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_cdemo_sk","c_current_addr_sk","c_birth_month","c_birth_year"]
<-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_149]
+ SHUFFLE [RS_151]
PartitionCols:_col0
- Select Operator [SEL_148] (rows=20000000 width=1014)
+ Select Operator [SEL_150] (rows=20000000 width=1014)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_147] (rows=20000000 width=1014)
+ Filter Operator [FIL_149] (rows=20000000 width=1014)
predicate:((ca_state) IN ('ND', 'WI', 'AL', 'NC', 'OK', 'MS', 'TN') and ca_address_sk is not null)
TableScan [TS_3] (rows=40000000 width=1014)
default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_county","ca_state","ca_country"]
@@ -148,96 +148,96 @@ Stage-0
PartitionCols:_col3
Select Operator [SEL_30] (rows=383314495 width=135)
Output:["_col1","_col3","_col6","_col7","_col8","_col9","_col10","_col16"]
- Merge Join Operator [MERGEJOIN_142] (rows=383314495 width=135)
- Conds:RS_27._col3=RS_171._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col8","_col14","_col16"]
+ Merge Join Operator [MERGEJOIN_144] (rows=383314495 width=135)
+ Conds:RS_27._col3=RS_173._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col8","_col14","_col16"]
<-Map 18 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_171]
+ PARTITION_ONLY_SHUFFLE [RS_173]
PartitionCols:_col0
- Select Operator [SEL_170] (rows=462000 width=1436)
+ Select Operator [SEL_172] (rows=462000 width=1436)
Output:["_col0","_col1"]
- Filter Operator [FIL_169] (rows=462000 width=1436)
+ Filter Operator [FIL_171] (rows=462000 width=1436)
predicate:i_item_sk is not null
TableScan [TS_18] (rows=462000 width=1436)
default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"]
<-Reducer 12 [SIMPLE_EDGE]
SHUFFLE [RS_27]
PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_141] (rows=348467716 width=135)
- Conds:RS_24._col2=RS_163._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col14"]
+ Merge Join Operator [MERGEJOIN_143] (rows=348467716 width=135)
+ Conds:RS_24._col2=RS_165._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col14"]
<-Map 16 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_163]
+ PARTITION_ONLY_SHUFFLE [RS_165]
PartitionCols:_col0
- Select Operator [SEL_162] (rows=465450 width=385)
+ Select Operator [SEL_164] (rows=465450 width=385)
Output:["_col0","_col3"]
- Filter Operator [FIL_161] (rows=465450 width=385)
+ Filter Operator [FIL_163] (rows=465450 width=385)
predicate:((cd_education_status = 'College') and (cd_gender = 'M') and cd_demo_sk is not null)
TableScan [TS_15] (rows=1861800 width=385)
default@customer_demographics,cd1,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_gender","cd_education_status","cd_dep_count"]
<-Reducer 11 [SIMPLE_EDGE]
SHUFFLE [RS_24]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_140] (rows=316788826 width=135)
- Conds:RS_181._col0=RS_155._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_142] (rows=316788826 width=135)
+ Conds:RS_183._col0=RS_157._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
<-Map 14 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_155]
+ PARTITION_ONLY_SHUFFLE [RS_157]
PartitionCols:_col0
- Select Operator [SEL_154] (rows=36524 width=1119)
+ Select Operator [SEL_156] (rows=36524 width=1119)
Output:["_col0"]
- Filter Operator [FIL_153] (rows=36524 width=1119)
+ Filter Operator [FIL_155] (rows=36524 width=1119)
predicate:((d_year = 2001) and d_date_sk is not null)
TableScan [TS_12] (rows=73049 width=1119)
default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
<-Map 10 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_181]
+ SHUFFLE [RS_183]
PartitionCols:_col0
- Select Operator [SEL_180] (rows=287989836 width=135)
+ Select Operator [SEL_182] (rows=287989836 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
- Filter Operator [FIL_179] (rows=287989836 width=135)
+ Filter Operator [FIL_181] (rows=287989836 width=135)
predicate:((cs_bill_cdemo_sk BETWEEN DynamicValue(RS_25_cd1_cd_demo_sk_min) AND DynamicValue(RS_25_cd1_cd_demo_sk_max) and in_bloom_filter(cs_bill_cdemo_sk, DynamicValue(RS_25_cd1_cd_demo_sk_bloom_filter))) and (cs_bill_customer_sk BETWEEN DynamicValue(RS_37_customer_c_customer_sk_min) AND DynamicValue(RS_37_customer_c_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_37_customer_c_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_28_item_i_item_sk_min) AND DynamicValue(RS_28_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_28_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_22_date_dim_d_date_sk_min) AND DynamicValue(RS_22_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_22_date_dim_d_date_sk_bloom_filter))) and cs_bill_cdemo_sk is not null 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_9] (rows=287989836 width=135)
default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_bill_cdemo_sk","cs_item_sk","cs_quantity","cs_list_price","cs_sales_price","cs_coupon_amt","cs_net_profit"]
<-Reducer 15 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_160]
- Group By Operator [GBY_159] (rows=1 width=12)
+ BROADCAST [RS_162]
+ Group By Operator [GBY_161] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_158]
- Group By Operator [GBY_157] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_160]
+ Group By Operator [GBY_159] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_156] (rows=36524 width=1119)
+ Select Operator [SEL_158] (rows=36524 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_154]
+ Please refer to the previous Select Operator [SEL_156]
<-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_168]
- Group By Operator [GBY_167] (rows=1 width=12)
+ BROADCAST [RS_170]
+ Group By Operator [GBY_169] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 16 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_166]
- Group By Operator [GBY_165] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_168]
+ Group By Operator [GBY_167] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_164] (rows=465450 width=385)
+ Select Operator [SEL_166] (rows=465450 width=385)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_162]
+ Please refer to the previous Select Operator [SEL_164]
<-Reducer 19 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_176]
- Group By Operator [GBY_175] (rows=1 width=12)
+ BROADCAST [RS_178]
+ Group By Operator [GBY_177] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 18 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_174]
- Group By Operator [GBY_173] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_176]
+ Group By Operator [GBY_175] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_172] (rows=462000 width=1436)
+ Select Operator [SEL_174] (rows=462000 width=1436)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_170]
+ Please refer to the previous Select Operator [SEL_172]
<-Reducer 7 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_178]
- Group By Operator [GBY_177] (rows=1 width=12)
+ BROADCAST [RS_180]
+ Group By Operator [GBY_179] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=48400000)"]
<-Reducer 3 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_120]
- Group By Operator [GBY_119] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_126]
+ Group By Operator [GBY_125] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=48400000)"]
- Select Operator [SEL_118] (rows=48400001 width=860)
+ Select Operator [SEL_124] (rows=48400001 width=860)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_139]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_141]