You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hive.apache.org by se...@apache.org on 2018/10/26 21:12:17 UTC
[67/75] [abbrv] hive git commit: HIVE-20788: Extended SJ reduction
may backtrack columns incorrectly when creating filters (Jesus Camacho
Rodriguez, reviewed by Deepak Jaiswal)
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out
index ff4c05f..b7f9778 100644
--- a/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out
@@ -99,56 +99,56 @@ Stage-0
limit:100
Stage-1
Reducer 6 vectorized
- File Output Operator [FS_179]
- Limit [LIM_178] (rows=100 width=1165)
+ File Output Operator [FS_177]
+ Limit [LIM_176] (rows=100 width=1165)
Number of rows:100
- Select Operator [SEL_177] (rows=10969055 width=1165)
+ Select Operator [SEL_175] (rows=10969055 width=1165)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
<-Reducer 5 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_176]
- Select Operator [SEL_175] (rows=10969055 width=1165)
+ SHUFFLE [RS_174]
+ Select Operator [SEL_173] (rows=10969055 width=1165)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
- Group By Operator [GBY_174] (rows=10969055 width=1229)
+ Group By Operator [GBY_172] (rows=10969055 width=1229)
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_40]
PartitionCols:_col0, _col1, _col2, _col3, _col4
Group By Operator [GBY_39] (rows=10969055 width=1229)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"],aggregations:["sum(_col15)","count(_col15)","sum(_col16)","count(_col16)","sum(_col17)","count(_col17)","sum(_col18)","count(_col18)","sum(_col19)","count(_col19)","sum(_col3)","count(_col3)","sum(_col22)","count(_col22)"],keys:_col5, _col6, _col7, _col10, 0L
- Merge Join Operator [MERGEJOIN_142] (rows=2193811 width=811)
+ Merge Join Operator [MERGEJOIN_140] (rows=2193811 width=811)
Conds:RS_35._col0=RS_36._col3(Inner),Output:["_col3","_col5","_col6","_col7","_col10","_col15","_col16","_col17","_col18","_col19","_col22"]
<-Reducer 3 [SIMPLE_EDGE]
PARTITION_ONLY_SHUFFLE [RS_35]
PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_138] (rows=4959744 width=368)
- Conds:RS_32._col1=RS_150._col0(Inner),Output:["_col0","_col3","_col5","_col6","_col7"]
+ Merge Join Operator [MERGEJOIN_136] (rows=4959744 width=368)
+ Conds:RS_32._col1=RS_148._col0(Inner),Output:["_col0","_col3","_col5","_col6","_col7"]
<-Map 9 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_150]
+ SHUFFLE [RS_148]
PartitionCols:_col0
- Select Operator [SEL_149] (rows=1861800 width=4)
+ Select Operator [SEL_147] (rows=1861800 width=4)
Output:["_col0"]
TableScan [TS_6] (rows=1861800 width=4)
default@customer_demographics,cd2,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_32]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_137] (rows=4890586 width=371)
- Conds:RS_145._col2=RS_148._col0(Inner),Output:["_col0","_col1","_col3","_col5","_col6","_col7"]
+ Merge Join Operator [MERGEJOIN_135] (rows=4890586 width=371)
+ Conds:RS_143._col2=RS_146._col0(Inner),Output:["_col0","_col1","_col3","_col5","_col6","_col7"]
<-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_145]
+ SHUFFLE [RS_143]
PartitionCols:_col2
- Select Operator [SEL_144] (rows=35631408 width=119)
+ Select Operator [SEL_142] (rows=35631408 width=119)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_143] (rows=35631408 width=19)
+ Filter Operator [FIL_141] (rows=35631408 width=19)
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)
TableScan [TS_0] (rows=80000000 width=19)
default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,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_148]
+ SHUFFLE [RS_146]
PartitionCols:_col0
- Select Operator [SEL_147] (rows=5490196 width=285)
+ Select Operator [SEL_145] (rows=5490196 width=285)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_146] (rows=5490196 width=285)
+ Filter Operator [FIL_144] (rows=5490196 width=285)
predicate:(ca_state) IN ('ND', 'WI', 'AL', 'NC', 'OK', 'MS', 'TN')
TableScan [TS_3] (rows=40000000 width=285)
default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_county","ca_state","ca_country"]
@@ -157,83 +157,83 @@ Stage-0
PartitionCols:_col3
Select Operator [SEL_28] (rows=15983481 width=735)
Output:["_col1","_col3","_col6","_col7","_col8","_col9","_col10","_col13"]
- Merge Join Operator [MERGEJOIN_141] (rows=15983481 width=735)
- Conds:RS_25._col3=RS_173._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col8","_col11","_col13"]
+ Merge Join Operator [MERGEJOIN_139] (rows=15983481 width=735)
+ Conds:RS_25._col3=RS_171._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col8","_col11","_col13"]
<-Map 18 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_173]
+ SHUFFLE [RS_171]
PartitionCols:_col0
- Select Operator [SEL_172] (rows=462000 width=104)
+ Select Operator [SEL_170] (rows=462000 width=104)
Output:["_col0","_col1"]
TableScan [TS_17] (rows=462000 width=104)
default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id"]
<-Reducer 12 [SIMPLE_EDGE]
SHUFFLE [RS_25]
PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_140] (rows=15983481 width=639)
- Conds:RS_22._col2=RS_161._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col11"]
+ Merge Join Operator [MERGEJOIN_138] (rows=15983481 width=639)
+ Conds:RS_22._col2=RS_159._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col11"]
<-Map 16 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_161]
+ PARTITION_ONLY_SHUFFLE [RS_159]
PartitionCols:_col0
- Select Operator [SEL_160] (rows=103433 width=116)
+ Select Operator [SEL_158] (rows=103433 width=116)
Output:["_col0","_col1"]
- Filter Operator [FIL_159] (rows=103433 width=187)
+ Filter Operator [FIL_157] (rows=103433 width=187)
predicate:((cd_education_status = 'College') and (cd_gender = 'M'))
TableScan [TS_14] (rows=1861800 width=187)
default@customer_demographics,cd1,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk","cd_gender","cd_education_status","cd_dep_count"]
<-Reducer 11 [SIMPLE_EDGE]
SHUFFLE [RS_22]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_139] (rows=100578970 width=565)
- Conds:RS_171._col0=RS_153._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_137] (rows=100578970 width=565)
+ Conds:RS_169._col0=RS_151._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
<-Map 14 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_153]
+ PARTITION_ONLY_SHUFFLE [RS_151]
PartitionCols:_col0
- Select Operator [SEL_152] (rows=652 width=4)
+ Select Operator [SEL_150] (rows=652 width=4)
Output:["_col0"]
- Filter Operator [FIL_151] (rows=652 width=8)
+ Filter Operator [FIL_149] (rows=652 width=8)
predicate:(d_year = 2001)
TableScan [TS_11] (rows=73049 width=8)
default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year"]
<-Map 10 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_171]
+ SHUFFLE [RS_169]
PartitionCols:_col0
- Select Operator [SEL_170] (rows=283692098 width=573)
+ Select Operator [SEL_168] (rows=283692098 width=573)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
- Filter Operator [FIL_169] (rows=283692098 width=466)
+ Filter Operator [FIL_167] (rows=283692098 width=466)
predicate:((cs_bill_cdemo_sk BETWEEN DynamicValue(RS_23_cd1_cd_demo_sk_min) AND DynamicValue(RS_23_cd1_cd_demo_sk_max) and in_bloom_filter(cs_bill_cdemo_sk, DynamicValue(RS_23_cd1_cd_demo_sk_bloom_filter))) and (cs_bill_customer_sk BETWEEN DynamicValue(RS_35_customer_c_customer_sk_min) AND DynamicValue(RS_35_customer_c_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_35_customer_c_customer_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_20_date_dim_d_date_sk_min) AND DynamicValue(RS_20_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_20_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_sold_date_sk is not null)
TableScan [TS_8] (rows=287989836 width=466)
default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,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_158]
- Group By Operator [GBY_157] (rows=1 width=12)
+ BROADCAST [RS_156]
+ Group By Operator [GBY_155] (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_156]
- Group By Operator [GBY_155] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_154]
+ Group By Operator [GBY_153] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_154] (rows=652 width=4)
+ Select Operator [SEL_152] (rows=652 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_152]
+ Please refer to the previous Select Operator [SEL_150]
<-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_166]
- Group By Operator [GBY_165] (rows=1 width=12)
+ BROADCAST [RS_164]
+ Group By Operator [GBY_163] (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_164]
- Group By Operator [GBY_163] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_162]
+ Group By Operator [GBY_161] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_162] (rows=103433 width=4)
+ Select Operator [SEL_160] (rows=103433 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_160]
+ Please refer to the previous Select Operator [SEL_158]
<-Reducer 7 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_168]
- Group By Operator [GBY_167] (rows=1 width=12)
+ BROADCAST [RS_166]
+ Group By Operator [GBY_165] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=4890586)"]
<-Reducer 3 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_123]
- Group By Operator [GBY_122] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_117]
+ Group By Operator [GBY_116] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=4890586)"]
- Select Operator [SEL_121] (rows=4959744 width=4)
+ Select Operator [SEL_115] (rows=4959744 width=4)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_138]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_136]
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/query24.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query24.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query24.q.out
index 7fbbc05..fb77386 100644
--- a/ql/src/test/results/clientpositive/perf/tez/constraints/query24.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query24.q.out
@@ -1,4 +1,4 @@
-Warning: Shuffle Join MERGEJOIN[287][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 8' is a cross product
+Warning: Shuffle Join MERGEJOIN[298][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 6' is a cross product
PREHOOK: query: explain
with ssales as
(select c_last_name
@@ -23,7 +23,8 @@ where ss_ticket_number = sr_ticket_number
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
- and c_birth_country = upper(ca_country)
+ and c_current_addr_sk = ca_address_sk
+ and c_birth_country <> upper(ca_country)
and s_zip = ca_zip
and s_market_id=7
group by c_last_name
@@ -79,7 +80,8 @@ where ss_ticket_number = sr_ticket_number
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
- and c_birth_country = upper(ca_country)
+ and c_current_addr_sk = ca_address_sk
+ and c_birth_country <> upper(ca_country)
and s_zip = ca_zip
and s_market_id=7
group by c_last_name
@@ -114,230 +116,248 @@ POSTHOOK: Output: hdfs://### HDFS PATH ###
Plan optimized by CBO.
Vertex dependency in root stage
-Map 1 <- Reducer 10 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE)
-Map 24 <- Reducer 20 (BROADCAST_EDGE)
-Reducer 10 <- Map 9 (CUSTOM_SIMPLE_EDGE)
-Reducer 11 <- Map 9 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE)
-Reducer 12 <- Map 22 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE)
-Reducer 13 <- Map 23 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
-Reducer 14 <- Reducer 13 (SIMPLE_EDGE)
-Reducer 15 <- Reducer 14 (CUSTOM_SIMPLE_EDGE)
-Reducer 17 <- Map 16 (CUSTOM_SIMPLE_EDGE)
-Reducer 18 <- Map 16 (SIMPLE_EDGE), Map 24 (SIMPLE_EDGE)
-Reducer 19 <- Map 21 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
-Reducer 20 <- Map 16 (CUSTOM_SIMPLE_EDGE)
-Reducer 3 <- Map 16 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Map 21 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Map 22 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
-Reducer 6 <- Map 23 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
-Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
-Reducer 8 <- Reducer 15 (CUSTOM_SIMPLE_EDGE), Reducer 7 (CUSTOM_SIMPLE_EDGE)
+Map 1 <- Reducer 16 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 8 (BROADCAST_EDGE)
+Map 25 <- Reducer 22 (BROADCAST_EDGE)
+Reducer 10 <- Map 24 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
+Reducer 11 <- Reducer 10 (SIMPLE_EDGE)
+Reducer 12 <- Reducer 11 (CUSTOM_SIMPLE_EDGE)
+Reducer 14 <- Map 13 (SIMPLE_EDGE), Map 21 (SIMPLE_EDGE)
+Reducer 15 <- Map 23 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE)
+Reducer 16 <- Reducer 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 17 <- Reducer 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 18 <- Map 13 (SIMPLE_EDGE), Map 23 (SIMPLE_EDGE)
+Reducer 19 <- Map 25 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
+Reducer 20 <- Map 21 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE)
+Reducer 22 <- Map 21 (CUSTOM_SIMPLE_EDGE)
+Reducer 3 <- Reducer 15 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 24 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Reducer 12 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE)
+Reducer 8 <- Map 7 (CUSTOM_SIMPLE_EDGE)
+Reducer 9 <- Map 7 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE)
Stage-0
Fetch Operator
limit:-1
Stage-1
- Reducer 8
- File Output Operator [FS_88]
- Select Operator [SEL_87] (rows=78393744 width=380)
+ Reducer 6
+ File Output Operator [FS_91]
+ Select Operator [SEL_90] (rows=1313165 width=380)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_86] (rows=78393744 width=492)
+ Filter Operator [FIL_89] (rows=1313165 width=492)
predicate:(_col3 > _col4)
- Merge Join Operator [MERGEJOIN_287] (rows=235181232 width=492)
+ Merge Join Operator [MERGEJOIN_298] (rows=3939496 width=492)
Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4"]
- <-Reducer 15 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_340]
- Select Operator [SEL_339] (rows=1 width=112)
+ <-Reducer 12 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_350]
+ Select Operator [SEL_349] (rows=1 width=112)
Output:["_col0"]
- Group By Operator [GBY_338] (rows=1 width=120)
+ Group By Operator [GBY_348] (rows=1 width=120)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"]
- <-Reducer 14 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_337]
- Group By Operator [GBY_336] (rows=1 width=120)
+ <-Reducer 11 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_347]
+ Group By Operator [GBY_346] (rows=1 width=120)
Output:["_col0","_col1"],aggregations:["sum(_col10)","count(_col10)"]
- Select Operator [SEL_335] (rows=2121289008973 width=932)
+ Select Operator [SEL_345] (rows=8029453 width=932)
Output:["_col10"]
- Group By Operator [GBY_334] (rows=2121289008973 width=932)
+ Group By Operator [GBY_344] (rows=8029453 width=932)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6, KEY._col7, KEY._col8, KEY._col9
- <-Reducer 13 [SIMPLE_EDGE]
- SHUFFLE [RS_75]
+ <-Reducer 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_78]
PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
- Group By Operator [GBY_74] (rows=2121289008973 width=932)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(_col4)"],keys:_col10, _col11, _col6, _col7, _col14, _col15, _col16, _col17, _col18, _col21
- Merge Join Operator [MERGEJOIN_286] (rows=2121289008973 width=932)
- Conds:RS_70._col12, _col8=RS_323._col2, _col1(Inner),Output:["_col4","_col6","_col7","_col10","_col11","_col14","_col15","_col16","_col17","_col18","_col21"]
- <-Map 23 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_323]
- PartitionCols:_col2, _col1
- Select Operator [SEL_321] (rows=40000000 width=359)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_320] (rows=40000000 width=272)
- predicate:(ca_zip is not null and upper(ca_country) is not null)
- TableScan [TS_14] (rows=40000000 width=272)
- default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_state","ca_zip","ca_country"]
- <-Reducer 12 [SIMPLE_EDGE]
- SHUFFLE [RS_70]
- PartitionCols:_col12, _col8
- Merge Join Operator [MERGEJOIN_285] (rows=537799796 width=1023)
- Conds:RS_67._col0, _col3=RS_319._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col8","_col10","_col11","_col12","_col14","_col15","_col16","_col17","_col18"]
- <-Map 22 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_319]
- PartitionCols:_col0, _col1
- Select Operator [SEL_317] (rows=57591150 width=8)
- Output:["_col0","_col1"]
- TableScan [TS_12] (rows=57591150 width=8)
- default@store_returns,store_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["sr_item_sk","sr_ticket_number"]
- <-Reducer 11 [SIMPLE_EDGE]
- SHUFFLE [RS_67]
- PartitionCols:_col0, _col3
- Merge Join Operator [MERGEJOIN_284] (rows=385681992 width=1029)
- Conds:RS_64._col0=RS_291._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col8","_col10","_col11","_col12","_col14","_col15","_col16","_col17","_col18"]
- <-Map 9 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_291]
- PartitionCols:_col0
- Select Operator [SEL_289] (rows=462000 width=384)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- TableScan [TS_3] (rows=462000 width=384)
- default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_current_price","i_size","i_color","i_units","i_manager_id"]
- <-Reducer 19 [SIMPLE_EDGE]
- SHUFFLE [RS_64]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_283] (rows=385681992 width=648)
- Conds:RS_61._col1=RS_316._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col8","_col10","_col11","_col12"]
- <-Map 21 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_316]
- PartitionCols:_col0
- Select Operator [SEL_314] (rows=80000000 width=276)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_313] (rows=80000000 width=276)
- predicate:c_birth_country is not null
- TableScan [TS_9] (rows=80000000 width=276)
- default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_first_name","c_last_name","c_birth_country"]
- <-Reducer 18 [SIMPLE_EDGE]
- SHUFFLE [RS_61]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_282] (rows=385681992 width=379)
- Conds:RS_333._col2=RS_302._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col7","_col8"]
- <-Map 16 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_302]
- PartitionCols:_col0
- Select Operator [SEL_299] (rows=155 width=267)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_298] (rows=155 width=271)
- predicate:((s_market_id = 7) and s_zip is not null)
- TableScan [TS_6] (rows=1704 width=270)
- default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_store_name","s_market_id","s_state","s_zip"]
- <-Map 24 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_333]
- PartitionCols:_col2
- Select Operator [SEL_332] (rows=525333486 width=122)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_331] (rows=525333486 width=122)
- predicate:((ss_store_sk BETWEEN DynamicValue(RS_59_store_s_store_sk_min) AND DynamicValue(RS_59_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_59_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_store_sk is not null)
- TableScan [TS_42] (rows=575995635 width=122)
- default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"]
- <-Reducer 20 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_330]
- Group By Operator [GBY_329] (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_307]
- Group By Operator [GBY_305] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_303] (rows=155 width=4)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_299]
- <-Reducer 7 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_328]
- Select Operator [SEL_327] (rows=235181232 width=380)
- Output:["_col0","_col1","_col2","_col3"]
- Group By Operator [GBY_326] (rows=235181232 width=380)
- Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col9)"],keys:_col1, _col2, _col7
- Select Operator [SEL_325] (rows=365777643230 width=843)
- Output:["_col1","_col2","_col7","_col9"]
- Group By Operator [GBY_324] (rows=365777643230 width=843)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6, KEY._col7, KEY._col8
- <-Reducer 6 [SIMPLE_EDGE]
- SHUFFLE [RS_34]
- PartitionCols:_col0, _col1, _col2
- Group By Operator [GBY_33] (rows=365777643230 width=843)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(_col4)"],keys:_col15, _col16, _col11, _col20, _col6, _col7, _col8, _col9, _col12
- Merge Join Operator [MERGEJOIN_281] (rows=365777643230 width=843)
- Conds:RS_29._col13, _col17=RS_322._col1, _col2(Inner),Output:["_col4","_col6","_col7","_col8","_col9","_col11","_col12","_col15","_col16","_col20"]
- <-Map 23 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_322]
- PartitionCols:_col1, _col2
- Please refer to the previous Select Operator [SEL_321]
- <-Reducer 5 [SIMPLE_EDGE]
- SHUFFLE [RS_29]
- PartitionCols:_col13, _col17
- Merge Join Operator [MERGEJOIN_280] (rows=92733777 width=910)
- Conds:RS_26._col0, _col3=RS_318._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17"]
- <-Map 22 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_318]
+ Group By Operator [GBY_77] (rows=8029453 width=932)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(_col13)"],keys:_col2, _col3, _col6, _col15, _col16, _col19, _col20, _col21, _col22, _col23
+ Merge Join Operator [MERGEJOIN_297] (rows=13238221 width=865)
+ Conds:RS_73._col9, _col12=RS_333._col0, _col1(Inner),Output:["_col2","_col3","_col6","_col13","_col15","_col16","_col19","_col20","_col21","_col22","_col23"]
+ <-Map 24 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_333]
PartitionCols:_col0, _col1
- Please refer to the previous Select Operator [SEL_317]
- <-Reducer 4 [SIMPLE_EDGE]
- SHUFFLE [RS_26]
- PartitionCols:_col0, _col3
- Merge Join Operator [MERGEJOIN_279] (rows=56246341 width=899)
- Conds:RS_23._col1=RS_315._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17"]
- <-Map 21 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_315]
+ Select Operator [SEL_331] (rows=57591150 width=8)
+ Output:["_col0","_col1"]
+ TableScan [TS_23] (rows=57591150 width=8)
+ default@store_returns,store_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["sr_item_sk","sr_ticket_number"]
+ <-Reducer 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_73]
+ PartitionCols:_col9, _col12
+ Merge Join Operator [MERGEJOIN_296] (rows=8029453 width=828)
+ Conds:RS_70._col9=RS_302._col0(Inner),Output:["_col2","_col3","_col6","_col9","_col12","_col13","_col15","_col16","_col19","_col20","_col21","_col22","_col23"]
+ <-Map 7 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_302]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_314]
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_23]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_278] (rows=56246341 width=630)
- Conds:RS_20._col2=RS_300._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col7","_col8","_col9","_col11","_col12","_col13"]
- <-Map 16 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_300]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_299]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_20]
- PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_277] (rows=76612563 width=382)
- Conds:RS_312._col0=RS_292._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col9"]
- <-Map 9 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_292]
- PartitionCols:_col0
- Select Operator [SEL_290] (rows=7000 width=295)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_288] (rows=7000 width=384)
- predicate:(i_color = 'orchid')
- Please refer to the previous TableScan [TS_3]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_312]
- PartitionCols:_col0
- Select Operator [SEL_311] (rows=525333486 width=122)
+ Select Operator [SEL_300] (rows=462000 width=384)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ TableScan [TS_3] (rows=462000 width=384)
+ default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_current_price","i_size","i_color","i_units","i_manager_id"]
+ <-Reducer 20 [SIMPLE_EDGE]
+ SHUFFLE [RS_70]
+ PartitionCols:_col9
+ Merge Join Operator [MERGEJOIN_295] (rows=8029453 width=448)
+ Conds:RS_67._col7, _col11=RS_316._col3, _col0(Inner),Output:["_col2","_col3","_col6","_col9","_col12","_col13","_col15","_col16"]
+ <-Map 21 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_316]
+ PartitionCols:_col3, _col0
+ Select Operator [SEL_314] (rows=155 width=267)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_313] (rows=155 width=271)
+ predicate:((s_market_id = 7) and s_zip is not null)
+ TableScan [TS_9] (rows=1704 width=270)
+ default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_store_name","s_market_id","s_state","s_zip"]
+ <-Reducer 19 [SIMPLE_EDGE]
+ SHUFFLE [RS_67]
+ PartitionCols:_col7, _col11
+ Merge Join Operator [MERGEJOIN_294] (rows=525333486 width=473)
+ Conds:RS_64._col0=RS_343._col1(Inner),Output:["_col2","_col3","_col6","_col7","_col9","_col11","_col12","_col13"]
+ <-Map 25 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_343]
+ PartitionCols:_col1
+ Select Operator [SEL_342] (rows=525333486 width=122)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_310] (rows=525333486 width=122)
- predicate:((ss_item_sk BETWEEN DynamicValue(RS_18_item_i_item_sk_min) AND DynamicValue(RS_18_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_18_item_i_item_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_21_store_s_store_sk_min) AND DynamicValue(RS_21_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_21_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_store_sk is not null)
- TableScan [TS_0] (rows=575995635 width=122)
+ Filter Operator [FIL_341] (rows=525333486 width=122)
+ predicate:((ss_store_sk BETWEEN DynamicValue(RS_68_store_s_store_sk_min) AND DynamicValue(RS_68_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_68_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_store_sk is not null)
+ TableScan [TS_50] (rows=575995635 width=122)
default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"]
- <-Reducer 10 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_297]
- Group By Operator [GBY_296] (rows=1 width=12)
+ <-Reducer 22 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_340]
+ Group By Operator [GBY_339] (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_295]
- Group By Operator [GBY_294] (rows=1 width=12)
+ <-Map 21 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_319]
+ Group By Operator [GBY_318] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_293] (rows=7000 width=4)
+ Select Operator [SEL_317] (rows=155 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_290]
- <-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_309]
- Group By Operator [GBY_308] (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_306]
- Group By Operator [GBY_304] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_301] (rows=155 width=4)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_299]
+ Please refer to the previous Select Operator [SEL_314]
+ <-Reducer 18 [SIMPLE_EDGE]
+ SHUFFLE [RS_64]
+ PartitionCols:_col0
+ Filter Operator [FIL_63] (rows=80000000 width=635)
+ predicate:(_col4 <> _col8)
+ Merge Join Operator [MERGEJOIN_293] (rows=80000000 width=635)
+ Conds:RS_323._col1=RS_312._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col6","_col7","_col8"]
+ <-Map 13 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_312]
+ PartitionCols:_col0
+ Select Operator [SEL_310] (rows=40000000 width=363)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_309] (rows=40000000 width=276)
+ predicate:ca_zip is not null
+ TableScan [TS_6] (rows=40000000 width=276)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_state","ca_zip","ca_country"]
+ <-Map 23 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_323]
+ PartitionCols:_col1
+ Select Operator [SEL_321] (rows=80000000 width=280)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_320] (rows=80000000 width=280)
+ predicate:c_current_addr_sk is not null
+ TableScan [TS_12] (rows=80000000 width=280)
+ default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_current_addr_sk","c_first_name","c_last_name","c_birth_country"]
+ <-Reducer 5 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_338]
+ Select Operator [SEL_337] (rows=3939496 width=380)
+ Output:["_col0","_col1","_col2","_col3"]
+ Group By Operator [GBY_336] (rows=3939496 width=380)
+ Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col9)"],keys:_col4, _col5, _col7
+ Select Operator [SEL_335] (rows=84010488 width=843)
+ Output:["_col4","_col5","_col7","_col9"]
+ Group By Operator [GBY_334] (rows=84010488 width=843)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6, KEY._col7, KEY._col8
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_36]
+ PartitionCols:_col0, _col1, _col2
+ Group By Operator [GBY_35] (rows=84010488 width=843)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(_col4)"],keys:_col12, _col13, _col20, _col6, _col7, _col8, _col9, _col16, _col21
+ Merge Join Operator [MERGEJOIN_292] (rows=138508741 width=824)
+ Conds:RS_31._col0, _col3=RS_332._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col8","_col9","_col12","_col13","_col16","_col20","_col21"]
+ <-Map 24 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_332]
+ PartitionCols:_col0, _col1
+ Please refer to the previous Select Operator [SEL_331]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_31]
+ PartitionCols:_col0, _col3
+ Merge Join Operator [MERGEJOIN_291] (rows=84010488 width=820)
+ Conds:RS_28._col1, _col2=RS_29._col0, _col9(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col8","_col9","_col12","_col13","_col16","_col20","_col21"]
+ <-Reducer 15 [SIMPLE_EDGE]
+ SHUFFLE [RS_29]
+ PartitionCols:_col0, _col9
+ Select Operator [SEL_22] (rows=7276996 width=724)
+ Output:["_col0","_col2","_col3","_col6","_col9","_col10","_col11"]
+ Filter Operator [FIL_21] (rows=7276996 width=724)
+ predicate:(_col12 <> _col3)
+ Merge Join Operator [MERGEJOIN_290] (rows=7276996 width=724)
+ Conds:RS_18._col0=RS_322._col1(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col8","_col10","_col11","_col12"]
+ <-Map 23 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_322]
+ PartitionCols:_col1
+ Please refer to the previous Select Operator [SEL_321]
+ <-Reducer 14 [SIMPLE_EDGE]
+ SHUFFLE [RS_18]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_289] (rows=611379 width=452)
+ Conds:RS_311._col2=RS_315._col3(Inner),Output:["_col0","_col1","_col3","_col4","_col5","_col6"]
+ <-Map 21 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_315]
+ PartitionCols:_col3
+ Please refer to the previous Select Operator [SEL_314]
+ <-Map 13 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_311]
+ PartitionCols:_col2
+ Please refer to the previous Select Operator [SEL_310]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_28]
+ PartitionCols:_col1, _col2
+ Merge Join Operator [MERGEJOIN_288] (rows=76612563 width=382)
+ Conds:RS_330._col0=RS_303._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col9"]
+ <-Map 7 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_303]
+ PartitionCols:_col0
+ Select Operator [SEL_301] (rows=7000 width=295)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_299] (rows=7000 width=384)
+ predicate:(i_color = 'orchid')
+ Please refer to the previous TableScan [TS_3]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_330]
+ PartitionCols:_col0
+ Select Operator [SEL_329] (rows=525333486 width=122)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_328] (rows=525333486 width=122)
+ predicate:((ss_customer_sk BETWEEN DynamicValue(RS_29_customer_c_customer_sk_min) AND DynamicValue(RS_29_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_29_customer_c_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_26_item_i_item_sk_min) AND DynamicValue(RS_26_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_26_item_i_item_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_29_store_s_store_sk_min) AND DynamicValue(RS_29_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_29_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_store_sk is not null)
+ TableScan [TS_0] (rows=575995635 width=122)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"]
+ <-Reducer 16 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_325]
+ Group By Operator [GBY_324] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=6636187)"]
+ <-Reducer 15 [CUSTOM_SIMPLE_EDGE]
+ SHUFFLE [RS_149]
+ Group By Operator [GBY_148] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=6636187)"]
+ Select Operator [SEL_147] (rows=7276996 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_22]
+ <-Reducer 17 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_327]
+ Group By Operator [GBY_326] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Reducer 15 [CUSTOM_SIMPLE_EDGE]
+ SHUFFLE [RS_154]
+ Group By Operator [GBY_153] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_152] (rows=7276996 width=8)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_22]
+ <-Reducer 8 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_308]
+ Group By Operator [GBY_307] (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
+ SHUFFLE [RS_306]
+ Group By Operator [GBY_305] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_304] (rows=7000 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_301]