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Posted to commits@hive.apache.org by jc...@apache.org on 2018/07/28 15:18:52 UTC
[04/10] hive git commit: HIVE-20213: Upgrade Calcite to 1.17.0 (Jesus
Camacho Rodriguez, reviewed by Ashutosh Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/47dd953c/ql/src/test/results/clientpositive/perf/tez/query11.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query11.q.out b/ql/src/test/results/clientpositive/perf/tez/query11.q.out
index bf454a0..4dfd293 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query11.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query11.q.out
@@ -149,30 +149,30 @@ POSTHOOK: type: QUERY
Plan optimized by CBO.
Vertex dependency in root stage
-Map 1 <- Reducer 17 (BROADCAST_EDGE)
-Map 11 <- Reducer 16 (BROADCAST_EDGE), Reducer 24 (BROADCAST_EDGE)
-Map 26 <- Reducer 22 (BROADCAST_EDGE)
-Map 7 <- Reducer 18 (BROADCAST_EDGE), Reducer 25 (BROADCAST_EDGE)
+Map 1 <- Reducer 21 (BROADCAST_EDGE)
+Map 11 <- Reducer 23 (BROADCAST_EDGE)
+Map 15 <- Reducer 20 (BROADCAST_EDGE), Reducer 25 (BROADCAST_EDGE)
+Map 7 <- Reducer 22 (BROADCAST_EDGE), Reducer 26 (BROADCAST_EDGE)
Reducer 10 <- Reducer 9 (SIMPLE_EDGE)
-Reducer 12 <- Map 11 (SIMPLE_EDGE), Map 15 (SIMPLE_EDGE)
-Reducer 13 <- Map 23 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
+Reducer 12 <- Map 11 (SIMPLE_EDGE), Map 19 (SIMPLE_EDGE)
+Reducer 13 <- Map 24 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
Reducer 14 <- Reducer 13 (SIMPLE_EDGE)
-Reducer 16 <- Map 15 (CUSTOM_SIMPLE_EDGE)
-Reducer 17 <- Map 15 (CUSTOM_SIMPLE_EDGE)
-Reducer 18 <- Map 15 (CUSTOM_SIMPLE_EDGE)
-Reducer 19 <- Map 15 (SIMPLE_EDGE), Map 26 (SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 15 (SIMPLE_EDGE)
-Reducer 20 <- Map 23 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE)
-Reducer 21 <- Reducer 20 (SIMPLE_EDGE)
-Reducer 22 <- Map 15 (CUSTOM_SIMPLE_EDGE)
-Reducer 24 <- Map 23 (CUSTOM_SIMPLE_EDGE)
-Reducer 25 <- Map 23 (CUSTOM_SIMPLE_EDGE)
-Reducer 3 <- Map 23 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 16 <- Map 15 (SIMPLE_EDGE), Map 19 (SIMPLE_EDGE)
+Reducer 17 <- Map 24 (SIMPLE_EDGE), Reducer 16 (SIMPLE_EDGE)
+Reducer 18 <- Reducer 17 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 19 (SIMPLE_EDGE)
+Reducer 20 <- Map 19 (CUSTOM_SIMPLE_EDGE)
+Reducer 21 <- Map 19 (CUSTOM_SIMPLE_EDGE)
+Reducer 22 <- Map 19 (CUSTOM_SIMPLE_EDGE)
+Reducer 23 <- Map 19 (CUSTOM_SIMPLE_EDGE)
+Reducer 25 <- Map 24 (CUSTOM_SIMPLE_EDGE)
+Reducer 26 <- Map 24 (CUSTOM_SIMPLE_EDGE)
+Reducer 3 <- Map 24 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Reducer 10 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE), Reducer 21 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 10 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
-Reducer 8 <- Map 15 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
-Reducer 9 <- Map 23 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE)
+Reducer 8 <- Map 19 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
+Reducer 9 <- Map 24 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE)
Stage-0
Fetch Operator
@@ -182,16 +182,16 @@ Stage-0
File Output Operator [FS_360]
Limit [LIM_359] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_358] (rows=383325119 width=88)
+ Select Operator [SEL_358] (rows=574987679 width=88)
Output:["_col0"]
<-Reducer 5 [SIMPLE_EDGE]
SHUFFLE [RS_93]
- Select Operator [SEL_92] (rows=383325119 width=88)
+ Select Operator [SEL_92] (rows=574987679 width=88)
Output:["_col0"]
- Filter Operator [FIL_91] (rows=383325119 width=88)
- predicate:((_col1 / _col8) > (_col6 / _col3))
+ Filter Operator [FIL_91] (rows=574987679 width=88)
+ predicate:CASE WHEN (_col3 is not null) THEN (CASE WHEN (_col5 is not null) THEN (((_col1 / _col5) > (_col8 / _col3))) ELSE ((null > (_col8 / _col3))) END) ELSE (CASE WHEN (_col5 is not null) THEN (((_col1 / _col5) > null)) ELSE (null) END) END
Merge Join Operator [MERGEJOIN_283] (rows=1149975359 width=88)
- Conds:RS_325._col0=RS_337._col0(Inner),RS_337._col0=RS_347._col0(Inner),RS_337._col0=RS_357._col0(Inner),Output:["_col1","_col3","_col5","_col6","_col8"]
+ Conds:RS_325._col0=RS_337._col0(Inner),RS_337._col0=RS_347._col0(Inner),RS_337._col0=RS_357._col0(Inner),Output:["_col1","_col3","_col5","_col7","_col8"]
<-Reducer 10 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_337]
PartitionCols:_col0
@@ -212,28 +212,28 @@ Stage-0
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
Merge Join Operator [MERGEJOIN_278] (rows=696954748 width=88)
Conds:RS_33._col1=RS_316._col0(Inner),Output:["_col2","_col3","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
- <-Map 23 [SIMPLE_EDGE] vectorized
+ <-Map 24 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_316]
PartitionCols:_col0
Select Operator [SEL_312] (rows=80000000 width=860)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
Filter Operator [FIL_311] (rows=80000000 width=860)
predicate:(c_customer_id is not null and c_customer_sk is not null)
- TableScan [TS_49] (rows=80000000 width=860)
+ TableScan [TS_71] (rows=80000000 width=860)
default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_customer_id","c_first_name","c_last_name","c_preferred_cust_flag","c_birth_country","c_login","c_email_address"]
<-Reducer 8 [SIMPLE_EDGE]
SHUFFLE [RS_33]
PartitionCols:_col1
Merge Join Operator [MERGEJOIN_277] (rows=633595212 width=88)
Conds:RS_332._col0=RS_294._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 15 [SIMPLE_EDGE] vectorized
+ <-Map 19 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_294]
PartitionCols:_col0
Select Operator [SEL_288] (rows=36524 width=1119)
Output:["_col0"]
Filter Operator [FIL_285] (rows=36524 width=1119)
predicate:((d_year = 2001) and d_date_sk is not null)
- TableScan [TS_46] (rows=73049 width=1119)
+ TableScan [TS_68] (rows=73049 width=1119)
default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
<-Map 7 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_332]
@@ -244,22 +244,22 @@ Stage-0
predicate:((ss_customer_sk BETWEEN DynamicValue(RS_34_customer_c_customer_sk_min) AND DynamicValue(RS_34_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_34_customer_c_customer_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_31_date_dim_d_date_sk_min) AND DynamicValue(RS_31_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_31_date_dim_d_date_sk_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null)
TableScan [TS_21] (rows=575995635 width=88)
default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk","ss_ext_discount_amt","ss_ext_list_price"]
- <-Reducer 18 [BROADCAST_EDGE] vectorized
+ <-Reducer 22 [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)"]
- <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized
+ <-Map 19 [CUSTOM_SIMPLE_EDGE] vectorized
SHUFFLE [RS_304]
Group By Operator [GBY_300] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
Select Operator [SEL_295] (rows=36524 width=1119)
Output:["_col0"]
Please refer to the previous Select Operator [SEL_288]
- <-Reducer 25 [BROADCAST_EDGE] vectorized
+ <-Reducer 26 [BROADCAST_EDGE] vectorized
BROADCAST [RS_329]
Group By Operator [GBY_328] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=80000000)"]
- <-Map 23 [CUSTOM_SIMPLE_EDGE] vectorized
+ <-Map 24 [CUSTOM_SIMPLE_EDGE] vectorized
SHUFFLE [RS_322]
Group By Operator [GBY_320] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=80000000)"]
@@ -269,124 +269,124 @@ Stage-0
<-Reducer 14 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_347]
PartitionCols:_col0
- Select Operator [SEL_346] (rows=348477374 width=88)
+ Select Operator [SEL_346] (rows=29040539 width=135)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_345] (rows=29040539 width=135)
+ predicate:(_col7 > 0)
+ Select Operator [SEL_344] (rows=87121617 width=135)
+ Output:["_col0","_col7"]
+ Group By Operator [GBY_343] (rows=87121617 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6
+ <-Reducer 13 [SIMPLE_EDGE]
+ SHUFFLE [RS_61]
+ PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Group By Operator [GBY_60] (rows=174243235 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(_col7)"],keys:_col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Operator [SEL_58] (rows=174243235 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
+ Merge Join Operator [MERGEJOIN_280] (rows=174243235 width=135)
+ Conds:RS_55._col1=RS_318._col0(Inner),Output:["_col2","_col3","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
+ <-Map 24 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_318]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_312]
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_55]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_279] (rows=158402938 width=135)
+ Conds:RS_342._col0=RS_296._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 19 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_296]
+ PartitionCols:_col0
+ Select Operator [SEL_289] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_286] (rows=36524 width=1119)
+ predicate:((d_year = 2001) and d_date_sk is not null)
+ Please refer to the previous TableScan [TS_68]
+ <-Map 11 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_342]
+ PartitionCols:_col0
+ Select Operator [SEL_341] (rows=144002668 width=135)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_340] (rows=144002668 width=135)
+ predicate:((ws_sold_date_sk BETWEEN DynamicValue(RS_53_date_dim_d_date_sk_min) AND DynamicValue(RS_53_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_53_date_dim_d_date_sk_bloom_filter))) and ws_bill_customer_sk is not null and ws_sold_date_sk is not null)
+ TableScan [TS_43] (rows=144002668 width=135)
+ default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_bill_customer_sk","ws_ext_discount_amt","ws_ext_list_price"]
+ <-Reducer 23 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_339]
+ Group By Operator [GBY_338] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 19 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_305]
+ Group By Operator [GBY_301] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_297] (rows=36524 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_289]
+ <-Reducer 18 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_357]
+ PartitionCols:_col0
+ Select Operator [SEL_356] (rows=348477374 width=88)
Output:["_col0","_col1","_col2"]
- Group By Operator [GBY_345] (rows=348477374 width=88)
+ Group By Operator [GBY_355] (rows=348477374 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6
- <-Reducer 13 [SIMPLE_EDGE]
- SHUFFLE [RS_61]
+ <-Reducer 17 [SIMPLE_EDGE]
+ SHUFFLE [RS_83]
PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6
- Group By Operator [GBY_60] (rows=696954748 width=88)
+ Group By Operator [GBY_82] (rows=696954748 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(_col7)"],keys:_col0, _col1, _col2, _col3, _col4, _col5, _col6
- Select Operator [SEL_58] (rows=696954748 width=88)
+ Select Operator [SEL_80] (rows=696954748 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
- Merge Join Operator [MERGEJOIN_280] (rows=696954748 width=88)
- Conds:RS_55._col1=RS_313._col0(Inner),Output:["_col2","_col3","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
- <-Map 23 [SIMPLE_EDGE] vectorized
+ Merge Join Operator [MERGEJOIN_282] (rows=696954748 width=88)
+ Conds:RS_77._col1=RS_313._col0(Inner),Output:["_col2","_col3","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
+ <-Map 24 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_313]
PartitionCols:_col0
Please refer to the previous Select Operator [SEL_312]
- <-Reducer 12 [SIMPLE_EDGE]
- SHUFFLE [RS_55]
+ <-Reducer 16 [SIMPLE_EDGE]
+ SHUFFLE [RS_77]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_279] (rows=633595212 width=88)
- Conds:RS_344._col0=RS_290._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 15 [SIMPLE_EDGE] vectorized
+ Merge Join Operator [MERGEJOIN_281] (rows=633595212 width=88)
+ Conds:RS_354._col0=RS_290._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 19 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_290]
PartitionCols:_col0
Select Operator [SEL_287] (rows=36524 width=1119)
Output:["_col0"]
Filter Operator [FIL_284] (rows=36524 width=1119)
predicate:((d_year = 2002) and d_date_sk is not null)
- Please refer to the previous TableScan [TS_46]
- <-Map 11 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_344]
+ Please refer to the previous TableScan [TS_68]
+ <-Map 15 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_354]
PartitionCols:_col0
- Select Operator [SEL_343] (rows=575995635 width=88)
+ Select Operator [SEL_353] (rows=575995635 width=88)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_342] (rows=575995635 width=88)
- predicate:((ss_customer_sk BETWEEN DynamicValue(RS_56_customer_c_customer_sk_min) AND DynamicValue(RS_56_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_56_customer_c_customer_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_53_date_dim_d_date_sk_min) AND DynamicValue(RS_53_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_53_date_dim_d_date_sk_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null)
- TableScan [TS_43] (rows=575995635 width=88)
+ Filter Operator [FIL_352] (rows=575995635 width=88)
+ predicate:((ss_customer_sk BETWEEN DynamicValue(RS_78_customer_c_customer_sk_min) AND DynamicValue(RS_78_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_78_customer_c_customer_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_75_date_dim_d_date_sk_min) AND DynamicValue(RS_75_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_75_date_dim_d_date_sk_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null)
+ TableScan [TS_65] (rows=575995635 width=88)
default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk","ss_ext_discount_amt","ss_ext_list_price"]
- <-Reducer 16 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_339]
- Group By Operator [GBY_338] (rows=1 width=12)
+ <-Reducer 20 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_349]
+ Group By Operator [GBY_348] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized
+ <-Map 19 [CUSTOM_SIMPLE_EDGE] vectorized
SHUFFLE [RS_302]
Group By Operator [GBY_298] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
Select Operator [SEL_291] (rows=36524 width=1119)
Output:["_col0"]
Please refer to the previous Select Operator [SEL_287]
- <-Reducer 24 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_341]
- Group By Operator [GBY_340] (rows=1 width=12)
+ <-Reducer 25 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_351]
+ Group By Operator [GBY_350] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=80000000)"]
- <-Map 23 [CUSTOM_SIMPLE_EDGE] vectorized
+ <-Map 24 [CUSTOM_SIMPLE_EDGE] vectorized
SHUFFLE [RS_321]
Group By Operator [GBY_319] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=80000000)"]
Select Operator [SEL_314] (rows=80000000 width=860)
Output:["_col0"]
Please refer to the previous Select Operator [SEL_312]
- <-Reducer 21 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_357]
- PartitionCols:_col0
- Select Operator [SEL_356] (rows=29040539 width=135)
- Output:["_col0","_col1"]
- Filter Operator [FIL_355] (rows=29040539 width=135)
- predicate:(_col7 > 0)
- Select Operator [SEL_354] (rows=87121617 width=135)
- Output:["_col0","_col7"]
- Group By Operator [GBY_353] (rows=87121617 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6
- <-Reducer 20 [SIMPLE_EDGE]
- SHUFFLE [RS_82]
- PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6
- Group By Operator [GBY_81] (rows=174243235 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(_col7)"],keys:_col0, _col1, _col2, _col3, _col4, _col5, _col6
- Select Operator [SEL_79] (rows=174243235 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
- Merge Join Operator [MERGEJOIN_282] (rows=174243235 width=135)
- Conds:RS_76._col1=RS_318._col0(Inner),Output:["_col2","_col3","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
- <-Map 23 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_318]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_312]
- <-Reducer 19 [SIMPLE_EDGE]
- SHUFFLE [RS_76]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_281] (rows=158402938 width=135)
- Conds:RS_352._col0=RS_296._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 15 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_296]
- PartitionCols:_col0
- Select Operator [SEL_289] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_286] (rows=36524 width=1119)
- predicate:((d_year = 2001) and d_date_sk is not null)
- Please refer to the previous TableScan [TS_46]
- <-Map 26 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_352]
- PartitionCols:_col0
- Select Operator [SEL_351] (rows=144002668 width=135)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_350] (rows=144002668 width=135)
- predicate:((ws_sold_date_sk BETWEEN DynamicValue(RS_74_date_dim_d_date_sk_min) AND DynamicValue(RS_74_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_74_date_dim_d_date_sk_bloom_filter))) and ws_bill_customer_sk is not null and ws_sold_date_sk is not null)
- TableScan [TS_64] (rows=144002668 width=135)
- default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_bill_customer_sk","ws_ext_discount_amt","ws_ext_list_price"]
- <-Reducer 22 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_349]
- Group By Operator [GBY_348] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_305]
- Group By Operator [GBY_301] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_297] (rows=36524 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_289]
<-Reducer 4 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_325]
PartitionCols:_col0
@@ -403,7 +403,7 @@ Stage-0
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
Merge Join Operator [MERGEJOIN_276] (rows=174243235 width=135)
Conds:RS_12._col1=RS_315._col0(Inner),Output:["_col2","_col3","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
- <-Map 23 [SIMPLE_EDGE] vectorized
+ <-Map 24 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_315]
PartitionCols:_col0
Please refer to the previous Select Operator [SEL_312]
@@ -412,7 +412,7 @@ Stage-0
PartitionCols:_col1
Merge Join Operator [MERGEJOIN_275] (rows=158402938 width=135)
Conds:RS_310._col0=RS_292._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 15 [SIMPLE_EDGE] vectorized
+ <-Map 19 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_292]
PartitionCols:_col0
Please refer to the previous Select Operator [SEL_287]
@@ -425,11 +425,11 @@ Stage-0
predicate:((ws_sold_date_sk BETWEEN DynamicValue(RS_10_date_dim_d_date_sk_min) AND DynamicValue(RS_10_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_10_date_dim_d_date_sk_bloom_filter))) and ws_bill_customer_sk is not null and ws_sold_date_sk is not null)
TableScan [TS_0] (rows=144002668 width=135)
default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_bill_customer_sk","ws_ext_discount_amt","ws_ext_list_price"]
- <-Reducer 17 [BROADCAST_EDGE] vectorized
+ <-Reducer 21 [BROADCAST_EDGE] vectorized
BROADCAST [RS_307]
Group By Operator [GBY_306] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized
+ <-Map 19 [CUSTOM_SIMPLE_EDGE] vectorized
SHUFFLE [RS_303]
Group By Operator [GBY_299] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]