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Posted to commits@hive.apache.org by se...@apache.org on 2018/07/19 21:44:44 UTC
[06/54] [abbrv] hive git commit: HIVE-17896: TopNKey: Create a
standalone vectorizable TopNKey operator (Teddy Choi,
reviewed by Jesus Camacho Rodriguez)
http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query66.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query66.q.out b/ql/src/test/results/clientpositive/perf/tez/query66.q.out
index 5dec2f8..432dd7e 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query66.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query66.q.out
@@ -471,240 +471,244 @@ Stage-0
limit:-1
Stage-1
Reducer 9 vectorized
- File Output Operator [FS_274]
- Select Operator [SEL_273] (rows=100 width=135)
+ File Output Operator [FS_278]
+ Select Operator [SEL_277] (rows=100 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29","_col30","_col31","_col32","_col33","_col34","_col35","_col36","_col37","_col38","_col39","_col40","_col41","_col42","_col43"]
- Limit [LIM_272] (rows=100 width=135)
+ Limit [LIM_276] (rows=100 width=135)
Number of rows:100
- Select Operator [SEL_271] (rows=158120068 width=135)
+ Select Operator [SEL_275] (rows=158120068 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29","_col30","_col31","_col32","_col33","_col34","_col35","_col36","_col37","_col38","_col39","_col40","_col41"]
<-Reducer 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_270]
- Group By Operator [GBY_269] (rows=158120068 width=135)
+ SHUFFLE [RS_274]
+ Group By Operator [GBY_273] (rows=158120068 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29","_col30","_col31","_col32","_col33","_col34","_col35","_col36","_col37","_col38","_col39","_col40","_col41"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)","sum(VALUE._col7)","sum(VALUE._col8)","sum(VALUE._col9)","sum(VALUE._col10)","sum(VALUE._col11)","sum(VALUE._col12)","sum(VALUE._col13)","sum(VALUE._col14)","sum(VALUE._col15)","sum(VALUE._col16)","sum(VALUE._col17)","sum(VALUE._col18)","sum(VALUE._col19)","sum(VALUE._col20)","sum(VALUE._col21)","sum(VALUE._col22)","sum(VALUE._col23)","sum(VALUE._col24)","sum(VALUE._col25)","sum(VALUE._col26)","sum(VALUE._col27)","sum(VALUE._col28)","sum(VALUE._col29)
","sum(VALUE._col30)","sum(VALUE._col31)","sum(VALUE._col32)","sum(VALUE._col33)","sum(VALUE._col34)","sum(VALUE._col35)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5
<-Union 7 [SIMPLE_EDGE]
<-Reducer 16 [CONTAINS] vectorized
- Reduce Output Operator [RS_289]
+ Reduce Output Operator [RS_294]
PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5
- Group By Operator [GBY_288] (rows=316240137 width=135)
+ Group By Operator [GBY_293] (rows=316240137 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29","_col30","_col31","_col32","_col33","_col34","_col35","_col36","_col37","_col38","_col39","_col40","_col41"],aggregations:["sum(_col6)","sum(_col7)","sum(_col8)","sum(_col9)","sum(_col10)","sum(_col11)","sum(_col12)","sum(_col13)","sum(_col14)","sum(_col15)","sum(_col16)","sum(_col17)","sum(_col18)","sum(_col19)","sum(_col20)","sum(_col21)","sum(_col22)","sum(_col23)","sum(_col24)","sum(_col25)","sum(_col26)","sum(_col27)","sum(_col28)","sum(_col29)","sum(_col30)","sum(_col31)","sum(_col32)","sum(_col33)","sum(_col34)","sum(_col35)","sum(_col36)","sum(_col37)","sum(_col38)","sum(_col39)","sum(_col40)","sum(_col41)"],keys:_col0, _col1, _col2, _col3, _col4, _col5
- Select Operator [SEL_287] (rows=316240137 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29","_col30","_col31","_col32","_col33","_col34","_col35","_col36","_col37","_col38","_col39","_col40","_col41"]
- Group By Operator [GBY_286] (rows=210822976 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)","sum(VALUE._col7)","sum(VALUE._col8)","sum(VALUE._col9)","sum(VALUE._col10)","sum(VALUE._col11)","sum(VALUE._col12)","sum(VALUE._col13)","sum(VALUE._col14)","sum(VALUE._col15)","sum(VALUE._col16)","sum(VALUE._col17)","sum(VALUE._col18)","sum(VALUE._col19)","sum(VALUE._col20)","sum(VALUE._col21)","sum(VALUE._col22)","sum(VALUE._col23)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5
- <-Reducer 15 [SIMPLE_EDGE]
- SHUFFLE [RS_63]
- PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5
- Group By Operator [GBY_62] (rows=421645953 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"],aggregations:["sum(_col6)","sum(_col7)","sum(_col8)","sum(_col9)","sum(_col10)","sum(_col11)","sum(_col12)","sum(_col13)","sum(_col14)","sum(_col15)","sum(_col16)","sum(_col17)","sum(_col18)","sum(_col19)","sum(_col20)","sum(_col21)","sum(_col22)","sum(_col23)","sum(_col24)","sum(_col25)","sum(_col26)","sum(_col27)","sum(_col28)","sum(_col29)"],keys:_col0, _col1, _col2, _col3, _col4, _col5
- Select Operator [SEL_60] (rows=421645953 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"]
- Merge Join Operator [MERGEJOIN_203] (rows=421645953 width=135)
- Conds:RS_57._col3=RS_254._col0(Inner),Output:["_col4","_col5","_col6","_col11","_col15","_col16","_col17","_col18","_col19","_col20"]
- <-Map 24 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_254]
- PartitionCols:_col0
- Select Operator [SEL_251] (rows=27 width=1029)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- Filter Operator [FIL_250] (rows=27 width=1029)
- predicate:w_warehouse_sk is not null
- TableScan [TS_12] (rows=27 width=1029)
- default@warehouse,warehouse,Tbl:COMPLETE,Col:NONE,Output:["w_warehouse_sk","w_warehouse_name","w_warehouse_sq_ft","w_city","w_county","w_state","w_country"]
- <-Reducer 14 [SIMPLE_EDGE]
- SHUFFLE [RS_57]
- PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_202] (rows=383314495 width=135)
- Conds:RS_54._col2=RS_242._col0(Inner),Output:["_col3","_col4","_col5","_col6","_col11"]
- <-Map 21 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_242]
- PartitionCols:_col0
- Select Operator [SEL_239] (rows=1 width=0)
- Output:["_col0"]
- Filter Operator [FIL_238] (rows=1 width=0)
- predicate:((sm_carrier) IN ('DIAMOND', 'AIRBORNE') and sm_ship_mode_sk is not null)
- TableScan [TS_9] (rows=1 width=0)
- default@ship_mode,ship_mode,Tbl:PARTIAL,Col:NONE,Output:["sm_ship_mode_sk","sm_carrier"]
- <-Reducer 13 [SIMPLE_EDGE]
- SHUFFLE [RS_54]
- PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_201] (rows=348467716 width=135)
- Conds:RS_51._col0=RS_230._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6","_col11"]
- <-Map 18 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_230]
- PartitionCols:_col0
- Select Operator [SEL_227] (rows=36524 width=1119)
- Output:["_col0","_col2"]
- Filter Operator [FIL_226] (rows=36524 width=1119)
- predicate:((d_year = 2002) and d_date_sk is not null)
- TableScan [TS_6] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"]
- <-Reducer 12 [SIMPLE_EDGE]
- SHUFFLE [RS_51]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_200] (rows=316788826 width=135)
- Conds:RS_285._col1=RS_218._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6"]
- <-Map 10 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_218]
- PartitionCols:_col0
- Select Operator [SEL_215] (rows=9600 width=471)
- Output:["_col0"]
- Filter Operator [FIL_214] (rows=9600 width=471)
- predicate:(t_time BETWEEN 49530 AND 78330 and t_time_sk is not null)
- TableScan [TS_3] (rows=86400 width=471)
- default@time_dim,time_dim,Tbl:COMPLETE,Col:NONE,Output:["t_time_sk","t_time"]
- <-Map 27 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_285]
- PartitionCols:_col1
- Select Operator [SEL_284] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- Filter Operator [FIL_283] (rows=287989836 width=135)
- predicate:((cs_ship_mode_sk BETWEEN DynamicValue(RS_55_ship_mode_sm_ship_mode_sk_min) AND DynamicValue(RS_55_ship_mode_sm_ship_mode_sk_max) and in_bloom_filter(cs_ship_mode_sk, DynamicValue(RS_55_ship_mode_sm_ship_mode_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_52_date_dim_d_date_sk_min) AND DynamicValue(RS_52_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_52_date_dim_d_date_sk_bloom_filter))) and (cs_sold_time_sk BETWEEN DynamicValue(RS_49_time_dim_t_time_sk_min) AND DynamicValue(RS_49_time_dim_t_time_sk_max) and in_bloom_filter(cs_sold_time_sk, DynamicValue(RS_49_time_dim_t_time_sk_bloom_filter))) and (cs_warehouse_sk BETWEEN DynamicValue(RS_58_warehouse_w_warehouse_sk_min) AND DynamicValue(RS_58_warehouse_w_warehouse_sk_max) and in_bloom_filter(cs_warehouse_sk, DynamicValue(RS_58_warehouse_w_warehouse_sk_bloom_filter))) and cs_ship_mode_sk is not null and cs_sold_date_sk is no
t null and cs_sold_time_sk is not null and cs_warehouse_sk is not null)
- TableScan [TS_33] (rows=287989836 width=135)
- default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_sold_time_sk","cs_ship_mode_sk","cs_warehouse_sk","cs_quantity","cs_ext_sales_price","cs_net_paid_inc_ship_tax"]
- <-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_276]
- Group By Operator [GBY_275] (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_223]
- Group By Operator [GBY_221] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_219] (rows=9600 width=471)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_215]
- <-Reducer 20 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_278]
- Group By Operator [GBY_277] (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
- SHUFFLE [RS_235]
- Group By Operator [GBY_233] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_231] (rows=36524 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_227]
- <-Reducer 23 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_280]
- Group By Operator [GBY_279] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 21 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_247]
- Group By Operator [GBY_245] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_243] (rows=1 width=0)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_239]
- <-Reducer 26 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_282]
- Group By Operator [GBY_281] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 24 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_259]
- Group By Operator [GBY_257] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_255] (rows=27 width=1029)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_251]
+ Top N Key Operator [TNK_292] (rows=316240137 width=135)
+ keys:_col0, _col1, _col2, _col3, _col4, _col5,sort order:++++++,top n:100
+ Select Operator [SEL_291] (rows=316240137 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29","_col30","_col31","_col32","_col33","_col34","_col35","_col36","_col37","_col38","_col39","_col40","_col41"]
+ Group By Operator [GBY_290] (rows=210822976 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)","sum(VALUE._col7)","sum(VALUE._col8)","sum(VALUE._col9)","sum(VALUE._col10)","sum(VALUE._col11)","sum(VALUE._col12)","sum(VALUE._col13)","sum(VALUE._col14)","sum(VALUE._col15)","sum(VALUE._col16)","sum(VALUE._col17)","sum(VALUE._col18)","sum(VALUE._col19)","sum(VALUE._col20)","sum(VALUE._col21)","sum(VALUE._col22)","sum(VALUE._col23)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5
+ <-Reducer 15 [SIMPLE_EDGE]
+ SHUFFLE [RS_63]
+ PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5
+ Group By Operator [GBY_62] (rows=421645953 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"],aggregations:["sum(_col6)","sum(_col7)","sum(_col8)","sum(_col9)","sum(_col10)","sum(_col11)","sum(_col12)","sum(_col13)","sum(_col14)","sum(_col15)","sum(_col16)","sum(_col17)","sum(_col18)","sum(_col19)","sum(_col20)","sum(_col21)","sum(_col22)","sum(_col23)","sum(_col24)","sum(_col25)","sum(_col26)","sum(_col27)","sum(_col28)","sum(_col29)"],keys:_col0, _col1, _col2, _col3, _col4, _col5
+ Select Operator [SEL_60] (rows=421645953 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"]
+ Merge Join Operator [MERGEJOIN_204] (rows=421645953 width=135)
+ Conds:RS_57._col3=RS_257._col0(Inner),Output:["_col4","_col5","_col6","_col11","_col15","_col16","_col17","_col18","_col19","_col20"]
+ <-Map 24 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_257]
+ PartitionCols:_col0
+ Select Operator [SEL_254] (rows=27 width=1029)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
+ Filter Operator [FIL_253] (rows=27 width=1029)
+ predicate:w_warehouse_sk is not null
+ TableScan [TS_12] (rows=27 width=1029)
+ default@warehouse,warehouse,Tbl:COMPLETE,Col:NONE,Output:["w_warehouse_sk","w_warehouse_name","w_warehouse_sq_ft","w_city","w_county","w_state","w_country"]
+ <-Reducer 14 [SIMPLE_EDGE]
+ SHUFFLE [RS_57]
+ PartitionCols:_col3
+ Merge Join Operator [MERGEJOIN_203] (rows=383314495 width=135)
+ Conds:RS_54._col2=RS_245._col0(Inner),Output:["_col3","_col4","_col5","_col6","_col11"]
+ <-Map 21 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_245]
+ PartitionCols:_col0
+ Select Operator [SEL_242] (rows=1 width=0)
+ Output:["_col0"]
+ Filter Operator [FIL_241] (rows=1 width=0)
+ predicate:((sm_carrier) IN ('DIAMOND', 'AIRBORNE') and sm_ship_mode_sk is not null)
+ TableScan [TS_9] (rows=1 width=0)
+ default@ship_mode,ship_mode,Tbl:PARTIAL,Col:NONE,Output:["sm_ship_mode_sk","sm_carrier"]
+ <-Reducer 13 [SIMPLE_EDGE]
+ SHUFFLE [RS_54]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_202] (rows=348467716 width=135)
+ Conds:RS_51._col0=RS_233._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6","_col11"]
+ <-Map 18 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_233]
+ PartitionCols:_col0
+ Select Operator [SEL_230] (rows=36524 width=1119)
+ Output:["_col0","_col2"]
+ Filter Operator [FIL_229] (rows=36524 width=1119)
+ predicate:((d_year = 2002) and d_date_sk is not null)
+ TableScan [TS_6] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"]
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_51]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_201] (rows=316788826 width=135)
+ Conds:RS_289._col1=RS_221._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6"]
+ <-Map 10 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_221]
+ PartitionCols:_col0
+ Select Operator [SEL_218] (rows=9600 width=471)
+ Output:["_col0"]
+ Filter Operator [FIL_217] (rows=9600 width=471)
+ predicate:(t_time BETWEEN 49530 AND 78330 and t_time_sk is not null)
+ TableScan [TS_3] (rows=86400 width=471)
+ default@time_dim,time_dim,Tbl:COMPLETE,Col:NONE,Output:["t_time_sk","t_time"]
+ <-Map 27 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_289]
+ PartitionCols:_col1
+ Select Operator [SEL_288] (rows=287989836 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
+ Filter Operator [FIL_287] (rows=287989836 width=135)
+ predicate:((cs_ship_mode_sk BETWEEN DynamicValue(RS_55_ship_mode_sm_ship_mode_sk_min) AND DynamicValue(RS_55_ship_mode_sm_ship_mode_sk_max) and in_bloom_filter(cs_ship_mode_sk, DynamicValue(RS_55_ship_mode_sm_ship_mode_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_52_date_dim_d_date_sk_min) AND DynamicValue(RS_52_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_52_date_dim_d_date_sk_bloom_filter))) and (cs_sold_time_sk BETWEEN DynamicValue(RS_49_time_dim_t_time_sk_min) AND DynamicValue(RS_49_time_dim_t_time_sk_max) and in_bloom_filter(cs_sold_time_sk, DynamicValue(RS_49_time_dim_t_time_sk_bloom_filter))) and (cs_warehouse_sk BETWEEN DynamicValue(RS_58_warehouse_w_warehouse_sk_min) AND DynamicValue(RS_58_warehouse_w_warehouse_sk_max) and in_bloom_filter(cs_warehouse_sk, DynamicValue(RS_58_warehouse_w_warehouse_sk_bloom_filter))) and cs_ship_mode_sk is not null and cs_sold_date_sk is
not null and cs_sold_time_sk is not null and cs_warehouse_sk is not null)
+ TableScan [TS_33] (rows=287989836 width=135)
+ default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_sold_time_sk","cs_ship_mode_sk","cs_warehouse_sk","cs_quantity","cs_ext_sales_price","cs_net_paid_inc_ship_tax"]
+ <-Reducer 17 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_280]
+ Group By Operator [GBY_279] (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_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_222] (rows=9600 width=471)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_218]
+ <-Reducer 20 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_282]
+ Group By Operator [GBY_281] (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
+ SHUFFLE [RS_238]
+ Group By Operator [GBY_236] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_234] (rows=36524 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_230]
+ <-Reducer 23 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_284]
+ Group By Operator [GBY_283] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 21 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_250]
+ Group By Operator [GBY_248] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_246] (rows=1 width=0)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_242]
+ <-Reducer 26 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_286]
+ Group By Operator [GBY_285] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 24 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_262]
+ Group By Operator [GBY_260] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_258] (rows=27 width=1029)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_254]
<-Reducer 6 [CONTAINS] vectorized
- Reduce Output Operator [RS_268]
+ Reduce Output Operator [RS_272]
PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5
- Group By Operator [GBY_267] (rows=316240137 width=135)
+ Group By Operator [GBY_271] (rows=316240137 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29","_col30","_col31","_col32","_col33","_col34","_col35","_col36","_col37","_col38","_col39","_col40","_col41"],aggregations:["sum(_col6)","sum(_col7)","sum(_col8)","sum(_col9)","sum(_col10)","sum(_col11)","sum(_col12)","sum(_col13)","sum(_col14)","sum(_col15)","sum(_col16)","sum(_col17)","sum(_col18)","sum(_col19)","sum(_col20)","sum(_col21)","sum(_col22)","sum(_col23)","sum(_col24)","sum(_col25)","sum(_col26)","sum(_col27)","sum(_col28)","sum(_col29)","sum(_col30)","sum(_col31)","sum(_col32)","sum(_col33)","sum(_col34)","sum(_col35)","sum(_col36)","sum(_col37)","sum(_col38)","sum(_col39)","sum(_col40)","sum(_col41)"],keys:_col0, _col1, _col2, _col3, _col4, _col5
- Select Operator [SEL_266] (rows=316240137 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29","_col30","_col31","_col32","_col33","_col34","_col35","_col36","_col37","_col38","_col39","_col40","_col41"]
- Group By Operator [GBY_265] (rows=105417161 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)","sum(VALUE._col7)","sum(VALUE._col8)","sum(VALUE._col9)","sum(VALUE._col10)","sum(VALUE._col11)","sum(VALUE._col12)","sum(VALUE._col13)","sum(VALUE._col14)","sum(VALUE._col15)","sum(VALUE._col16)","sum(VALUE._col17)","sum(VALUE._col18)","sum(VALUE._col19)","sum(VALUE._col20)","sum(VALUE._col21)","sum(VALUE._col22)","sum(VALUE._col23)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5
- <-Reducer 5 [SIMPLE_EDGE]
- SHUFFLE [RS_30]
- PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5
- Group By Operator [GBY_29] (rows=210834322 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"],aggregations:["sum(_col6)","sum(_col7)","sum(_col8)","sum(_col9)","sum(_col10)","sum(_col11)","sum(_col12)","sum(_col13)","sum(_col14)","sum(_col15)","sum(_col16)","sum(_col17)","sum(_col18)","sum(_col19)","sum(_col20)","sum(_col21)","sum(_col22)","sum(_col23)","sum(_col24)","sum(_col25)","sum(_col26)","sum(_col27)","sum(_col28)","sum(_col29)"],keys:_col0, _col1, _col2, _col3, _col4, _col5
- Select Operator [SEL_27] (rows=210834322 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"]
- Merge Join Operator [MERGEJOIN_199] (rows=210834322 width=135)
- Conds:RS_24._col3=RS_252._col0(Inner),Output:["_col4","_col5","_col6","_col11","_col15","_col16","_col17","_col18","_col19","_col20"]
- <-Map 24 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_252]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_251]
- <-Reducer 4 [SIMPLE_EDGE]
- SHUFFLE [RS_24]
- PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_198] (rows=191667562 width=135)
- Conds:RS_21._col2=RS_240._col0(Inner),Output:["_col3","_col4","_col5","_col6","_col11"]
- <-Map 21 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_240]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_239]
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_21]
- PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_197] (rows=174243235 width=135)
- Conds:RS_18._col0=RS_228._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6","_col11"]
- <-Map 18 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_228]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_227]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_18]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_196] (rows=158402938 width=135)
- Conds:RS_264._col1=RS_216._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6"]
- <-Map 10 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_216]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_215]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_264]
- PartitionCols:_col1
- Select Operator [SEL_263] (rows=144002668 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- Filter Operator [FIL_262] (rows=144002668 width=135)
- predicate:((ws_ship_mode_sk BETWEEN DynamicValue(RS_22_ship_mode_sm_ship_mode_sk_min) AND DynamicValue(RS_22_ship_mode_sm_ship_mode_sk_max) and in_bloom_filter(ws_ship_mode_sk, DynamicValue(RS_22_ship_mode_sm_ship_mode_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_19_date_dim_d_date_sk_min) AND DynamicValue(RS_19_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_19_date_dim_d_date_sk_bloom_filter))) and (ws_sold_time_sk BETWEEN DynamicValue(RS_16_time_dim_t_time_sk_min) AND DynamicValue(RS_16_time_dim_t_time_sk_max) and in_bloom_filter(ws_sold_time_sk, DynamicValue(RS_16_time_dim_t_time_sk_bloom_filter))) and (ws_warehouse_sk BETWEEN DynamicValue(RS_25_warehouse_w_warehouse_sk_min) AND DynamicValue(RS_25_warehouse_w_warehouse_sk_max) and in_bloom_filter(ws_warehouse_sk, DynamicValue(RS_25_warehouse_w_warehouse_sk_bloom_filter))) and ws_ship_mode_sk is not null and ws_sold_date_sk is no
t null and ws_sold_time_sk is not null and ws_warehouse_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_sold_time_sk","ws_ship_mode_sk","ws_warehouse_sk","ws_quantity","ws_sales_price","ws_net_paid_inc_tax"]
- <-Reducer 11 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_225]
- Group By Operator [GBY_224] (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_222]
- Group By Operator [GBY_220] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_217] (rows=9600 width=471)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_215]
- <-Reducer 19 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_237]
- 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 18 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_234]
- Group By Operator [GBY_232] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_229] (rows=36524 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_227]
- <-Reducer 22 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_249]
- Group By Operator [GBY_248] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 21 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_246]
- Group By Operator [GBY_244] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_241] (rows=1 width=0)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_239]
- <-Reducer 25 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_261]
- Group By Operator [GBY_260] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 24 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_258]
- Group By Operator [GBY_256] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_253] (rows=27 width=1029)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_251]
+ Top N Key Operator [TNK_270] (rows=316240137 width=135)
+ keys:_col0, _col1, _col2, _col3, _col4, _col5,sort order:++++++,top n:100
+ Select Operator [SEL_269] (rows=316240137 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29","_col30","_col31","_col32","_col33","_col34","_col35","_col36","_col37","_col38","_col39","_col40","_col41"]
+ Group By Operator [GBY_268] (rows=105417161 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)","sum(VALUE._col7)","sum(VALUE._col8)","sum(VALUE._col9)","sum(VALUE._col10)","sum(VALUE._col11)","sum(VALUE._col12)","sum(VALUE._col13)","sum(VALUE._col14)","sum(VALUE._col15)","sum(VALUE._col16)","sum(VALUE._col17)","sum(VALUE._col18)","sum(VALUE._col19)","sum(VALUE._col20)","sum(VALUE._col21)","sum(VALUE._col22)","sum(VALUE._col23)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5
+ <-Reducer 5 [SIMPLE_EDGE]
+ SHUFFLE [RS_30]
+ PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5
+ Group By Operator [GBY_29] (rows=210834322 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"],aggregations:["sum(_col6)","sum(_col7)","sum(_col8)","sum(_col9)","sum(_col10)","sum(_col11)","sum(_col12)","sum(_col13)","sum(_col14)","sum(_col15)","sum(_col16)","sum(_col17)","sum(_col18)","sum(_col19)","sum(_col20)","sum(_col21)","sum(_col22)","sum(_col23)","sum(_col24)","sum(_col25)","sum(_col26)","sum(_col27)","sum(_col28)","sum(_col29)"],keys:_col0, _col1, _col2, _col3, _col4, _col5
+ Select Operator [SEL_27] (rows=210834322 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23","_col24","_col25","_col26","_col27","_col28","_col29"]
+ Merge Join Operator [MERGEJOIN_200] (rows=210834322 width=135)
+ Conds:RS_24._col3=RS_255._col0(Inner),Output:["_col4","_col5","_col6","_col11","_col15","_col16","_col17","_col18","_col19","_col20"]
+ <-Map 24 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_255]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_254]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_24]
+ PartitionCols:_col3
+ Merge Join Operator [MERGEJOIN_199] (rows=191667562 width=135)
+ Conds:RS_21._col2=RS_243._col0(Inner),Output:["_col3","_col4","_col5","_col6","_col11"]
+ <-Map 21 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_243]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_242]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_21]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_198] (rows=174243235 width=135)
+ Conds:RS_18._col0=RS_231._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6","_col11"]
+ <-Map 18 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_231]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_230]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_18]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_197] (rows=158402938 width=135)
+ Conds:RS_267._col1=RS_219._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6"]
+ <-Map 10 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_219]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_218]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_267]
+ PartitionCols:_col1
+ Select Operator [SEL_266] (rows=144002668 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
+ Filter Operator [FIL_265] (rows=144002668 width=135)
+ predicate:((ws_ship_mode_sk BETWEEN DynamicValue(RS_22_ship_mode_sm_ship_mode_sk_min) AND DynamicValue(RS_22_ship_mode_sm_ship_mode_sk_max) and in_bloom_filter(ws_ship_mode_sk, DynamicValue(RS_22_ship_mode_sm_ship_mode_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_19_date_dim_d_date_sk_min) AND DynamicValue(RS_19_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_19_date_dim_d_date_sk_bloom_filter))) and (ws_sold_time_sk BETWEEN DynamicValue(RS_16_time_dim_t_time_sk_min) AND DynamicValue(RS_16_time_dim_t_time_sk_max) and in_bloom_filter(ws_sold_time_sk, DynamicValue(RS_16_time_dim_t_time_sk_bloom_filter))) and (ws_warehouse_sk BETWEEN DynamicValue(RS_25_warehouse_w_warehouse_sk_min) AND DynamicValue(RS_25_warehouse_w_warehouse_sk_max) and in_bloom_filter(ws_warehouse_sk, DynamicValue(RS_25_warehouse_w_warehouse_sk_bloom_filter))) and ws_ship_mode_sk is not null and ws_sold_date_sk is
not null and ws_sold_time_sk is not null and ws_warehouse_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_sold_time_sk","ws_ship_mode_sk","ws_warehouse_sk","ws_quantity","ws_sales_price","ws_net_paid_inc_tax"]
+ <-Reducer 11 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_228]
+ Group By Operator [GBY_227] (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_225]
+ Group By Operator [GBY_223] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_220] (rows=9600 width=471)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_218]
+ <-Reducer 19 [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 18 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_237]
+ Group By Operator [GBY_235] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_232] (rows=36524 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_230]
+ <-Reducer 22 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_252]
+ Group By Operator [GBY_251] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 21 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_249]
+ Group By Operator [GBY_247] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_244] (rows=1 width=0)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_242]
+ <-Reducer 25 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_264]
+ Group By Operator [GBY_263] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 24 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_261]
+ Group By Operator [GBY_259] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_256] (rows=27 width=1029)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_254]