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Posted to commits@hive.apache.org by jc...@apache.org on 2018/10/17 17:33:51 UTC
[06/12] hive git commit: HIVE-20716: Set default value for
hive.cbo.stats.correlated.multi.key.joins to true (Jesus Camacho Rodriguez,
reviewed by Ashutosh Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/a22e7dd9/ql/src/test/results/clientpositive/perf/tez/query25.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query25.q.out b/ql/src/test/results/clientpositive/perf/tez/query25.q.out
index 231e09f..dc15890 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query25.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query25.q.out
@@ -109,221 +109,220 @@ POSTHOOK: Output: hdfs://### HDFS PATH ###
Plan optimized by CBO.
Vertex dependency in root stage
-Map 1 <- Reducer 8 (BROADCAST_EDGE)
-Map 13 <- Reducer 12 (BROADCAST_EDGE), Reducer 16 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 18 (BROADCAST_EDGE), Reducer 20 (BROADCAST_EDGE), Reducer 22 (BROADCAST_EDGE)
-Reducer 10 <- Map 19 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
-Reducer 11 <- Map 7 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE)
-Reducer 12 <- Map 7 (CUSTOM_SIMPLE_EDGE)
-Reducer 14 <- Map 13 (SIMPLE_EDGE), Map 15 (SIMPLE_EDGE)
-Reducer 16 <- Map 15 (CUSTOM_SIMPLE_EDGE)
-Reducer 17 <- Map 15 (CUSTOM_SIMPLE_EDGE)
-Reducer 18 <- Map 15 (CUSTOM_SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
-Reducer 20 <- Map 19 (CUSTOM_SIMPLE_EDGE)
-Reducer 22 <- Map 21 (CUSTOM_SIMPLE_EDGE)
-Reducer 3 <- Reducer 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Map 21 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
+Map 1 <- Reducer 14 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 19 (BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE)
+Map 16 <- Reducer 12 (BROADCAST_EDGE), Reducer 14 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 19 (BROADCAST_EDGE)
+Reducer 10 <- Map 16 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Reducer 11 <- Reducer 10 (SIMPLE_EDGE), Reducer 13 (SIMPLE_EDGE)
+Reducer 12 <- Map 8 (CUSTOM_SIMPLE_EDGE)
+Reducer 13 <- Map 17 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Reducer 14 <- Reducer 13 (CUSTOM_SIMPLE_EDGE)
+Reducer 15 <- Reducer 13 (CUSTOM_SIMPLE_EDGE)
+Reducer 19 <- Map 18 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Reducer 21 <- Map 20 (CUSTOM_SIMPLE_EDGE)
+Reducer 3 <- Reducer 11 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 18 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Map 20 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
-Reducer 8 <- Map 7 (CUSTOM_SIMPLE_EDGE)
-Reducer 9 <- Map 7 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE)
+Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 9 <- Map 8 (CUSTOM_SIMPLE_EDGE)
Stage-0
Fetch Operator
limit:100
Stage-1
- Reducer 6 vectorized
- File Output Operator [FS_268]
- Limit [LIM_267] (rows=100 width=88)
+ Reducer 7 vectorized
+ File Output Operator [FS_270]
+ Limit [LIM_269] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_266] (rows=510205767 width=88)
+ Select Operator [SEL_268] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- <-Reducer 5 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_265]
- Group By Operator [GBY_264] (rows=510205767 width=88)
+ <-Reducer 6 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_267]
+ Group By Operator [GBY_266] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3
- <-Reducer 4 [SIMPLE_EDGE]
- SHUFFLE [RS_48]
+ <-Reducer 5 [SIMPLE_EDGE]
+ SHUFFLE [RS_49]
PartitionCols:_col0, _col1, _col2, _col3
- Group By Operator [GBY_47] (rows=1020411534 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col18)","sum(_col23)","sum(_col3)"],keys:_col28, _col29, _col8, _col9
- Top N Key Operator [TNK_94] (rows=1020411534 width=88)
- keys:_col28, _col29, _col8, _col9,sort order:++++,top n:100
- Merge Join Operator [MERGEJOIN_206] (rows=1020411534 width=88)
- Conds:RS_43._col14=RS_255._col0(Inner),Output:["_col3","_col8","_col9","_col18","_col23","_col28","_col29"]
- <-Map 21 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_255]
+ Group By Operator [GBY_48] (rows=843315281 width=88)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col20)","sum(_col12)"],keys:_col25, _col26, _col28, _col29
+ Top N Key Operator [TNK_95] (rows=843315281 width=88)
+ keys:_col25, _col26, _col28, _col29,sort order:++++,top n:100
+ Merge Join Operator [MERGEJOIN_214] (rows=843315281 width=88)
+ Conds:RS_44._col3=RS_252._col0(Inner),Output:["_col5","_col12","_col20","_col25","_col26","_col28","_col29"]
+ <-Map 20 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_252]
PartitionCols:_col0
- Select Operator [SEL_254] (rows=462000 width=1436)
+ Select Operator [SEL_251] (rows=1704 width=1910)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_253] (rows=462000 width=1436)
- predicate:i_item_sk is not null
- TableScan [TS_34] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"]
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_43]
- PartitionCols:_col14
- Merge Join Operator [MERGEJOIN_205] (rows=927646829 width=88)
- Conds:RS_40._col1, _col2=RS_41._col14, _col13(Inner),Output:["_col3","_col8","_col9","_col14","_col18","_col23"]
- <-Reducer 10 [SIMPLE_EDGE]
+ Filter Operator [FIL_250] (rows=1704 width=1910)
+ predicate:s_store_sk is not null
+ TableScan [TS_32] (rows=1704 width=1910)
+ default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name"]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_44]
+ PartitionCols:_col3
+ Merge Join Operator [MERGEJOIN_213] (rows=766650239 width=88)
+ Conds:RS_41._col1=RS_243._col0(Inner),Output:["_col3","_col5","_col12","_col20","_col25","_col26"]
+ <-Map 18 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_243]
+ PartitionCols:_col0
+ Select Operator [SEL_242] (rows=462000 width=1436)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_241] (rows=462000 width=1436)
+ predicate:i_item_sk is not null
+ TableScan [TS_29] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"]
+ <-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_41]
- PartitionCols:_col14, _col13
- Select Operator [SEL_33] (rows=843315281 width=88)
- Output:["_col1","_col2","_col7","_col11","_col13","_col14","_col16"]
- Merge Join Operator [MERGEJOIN_204] (rows=843315281 width=88)
- Conds:RS_30._col3=RS_247._col0(Inner),Output:["_col1","_col5","_col7","_col8","_col10","_col18","_col19"]
- <-Map 19 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_247]
- PartitionCols:_col0
- Select Operator [SEL_246] (rows=1704 width=1910)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_245] (rows=1704 width=1910)
- predicate:s_store_sk is not null
- TableScan [TS_18] (rows=1704 width=1910)
- default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name"]
- <-Reducer 9 [SIMPLE_EDGE]
- SHUFFLE [RS_30]
- PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_203] (rows=766650239 width=88)
- Conds:RS_27._col6=RS_213._col0(Inner),Output:["_col1","_col3","_col5","_col7","_col8","_col10"]
- <-Map 7 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_213]
- PartitionCols:_col0
- Select Operator [SEL_209] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_207] (rows=36524 width=1119)
- predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10)
- TableScan [TS_3] (rows=73049 width=1119)
- default@date_dim,d3,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"]
- <-Reducer 11 [SIMPLE_EDGE]
- SHUFFLE [RS_27]
- PartitionCols:_col6
- Merge Join Operator [MERGEJOIN_202] (rows=696954748 width=88)
- Conds:RS_24._col0=RS_214._col0(Inner),Output:["_col1","_col3","_col5","_col6","_col7","_col8","_col10"]
- <-Map 7 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_214]
- PartitionCols:_col0
- Select Operator [SEL_210] (rows=18262 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_208] (rows=18262 width=1119)
- predicate:((d_moy = 4) and (d_year = 2000) and d_date_sk is not null)
- Please refer to the previous TableScan [TS_3]
- <-Reducer 14 [SIMPLE_EDGE]
- SHUFFLE [RS_24]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_201] (rows=633595212 width=88)
- Conds:RS_263._col1, _col2, _col4=RS_227._col1, _col2, _col3(Inner),Output:["_col0","_col1","_col3","_col5","_col6","_col7","_col8","_col10"]
- <-Map 15 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_227]
- PartitionCols:_col1, _col2, _col3
- Select Operator [SEL_226] (rows=57591150 width=77)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_225] (rows=57591150 width=77)
- predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null)
- TableScan [TS_9] (rows=57591150 width=77)
- default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_net_loss"]
- <-Map 13 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_263]
- PartitionCols:_col1, _col2, _col4
- Select Operator [SEL_262] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Filter Operator [FIL_261] (rows=575995635 width=88)
- predicate:((ss_customer_sk BETWEEN DynamicValue(RS_22_store_returns_sr_customer_sk_min) AND DynamicValue(RS_22_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_22_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_22_store_returns_sr_item_sk_min) AND DynamicValue(RS_22_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_22_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_44_item_i_item_sk_min) AND DynamicValue(RS_44_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_44_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_25_d1_d_date_sk_min) AND DynamicValue(RS_25_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_25_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_31_store_s_store_sk_min) AND DynamicValue(RS_31_store_s_store
_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_31_store_s_store_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_22_store_returns_sr_ticket_number_min) AND DynamicValue(RS_22_store_returns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_22_store_returns_sr_ticket_number_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null)
- TableScan [TS_6] (rows=575995635 width=88)
- default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_net_profit"]
- <-Reducer 12 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_244]
- Group By Operator [GBY_243] (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_219]
- Group By Operator [GBY_217] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_215] (rows=18262 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_210]
- <-Reducer 16 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_238]
- Group By Operator [GBY_237] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"]
- <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_234]
- Group By Operator [GBY_231] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"]
- Select Operator [SEL_228] (rows=57591150 width=77)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_226]
- <-Reducer 17 [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=57591152)"]
- <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_235]
- Group By Operator [GBY_232] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"]
- Select Operator [SEL_229] (rows=57591150 width=77)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_226]
- <-Reducer 18 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_242]
- Group By Operator [GBY_241] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"]
- <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_236]
- Group By Operator [GBY_233] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"]
- Select Operator [SEL_230] (rows=57591150 width=77)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_226]
- <-Reducer 20 [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 19 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_250]
- Group By Operator [GBY_249] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_248] (rows=1704 width=1910)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_246]
- <-Reducer 22 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_260]
- Group By Operator [GBY_259] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 21 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_258]
- 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_256] (rows=462000 width=1436)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_254]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_40]
- PartitionCols:_col1, _col2
- Merge Join Operator [MERGEJOIN_200] (rows=316788826 width=135)
- Conds:RS_224._col0=RS_211._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 7 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_211]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_209]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_224]
- PartitionCols:_col0
- Select Operator [SEL_223] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_222] (rows=287989836 width=135)
- predicate:((cs_sold_date_sk BETWEEN DynamicValue(RS_38_d3_d_date_sk_min) AND DynamicValue(RS_38_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_38_d3_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null)
- TableScan [TS_0] (rows=287989836 width=135)
- default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_net_profit"]
- <-Reducer 8 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_221]
- Group By Operator [GBY_220] (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_218]
- Group By Operator [GBY_216] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_212] (rows=36524 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_209]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_212] (rows=696954748 width=88)
+ Conds:RS_38._col1, _col2, _col4=RS_39._col8, _col9, _col10(Inner),Output:["_col1","_col3","_col5","_col12","_col20"]
+ <-Reducer 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_39]
+ PartitionCols:_col8, _col9, _col10
+ Merge Join Operator [MERGEJOIN_211] (rows=348467716 width=135)
+ Conds:RS_25._col2, _col1=RS_26._col1, _col2(Inner),Output:["_col3","_col8","_col9","_col10","_col11"]
+ <-Reducer 13 [SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_26]
+ PartitionCols:_col1, _col2
+ Merge Join Operator [MERGEJOIN_210] (rows=63350266 width=77)
+ Conds:RS_234._col0=RS_225._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_225]
+ PartitionCols:_col0
+ Select Operator [SEL_220] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_217] (rows=36524 width=1119)
+ predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10)
+ TableScan [TS_3] (rows=73049 width=1119)
+ default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"]
+ <-Map 17 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_234]
+ PartitionCols:_col0
+ Select Operator [SEL_233] (rows=57591150 width=77)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_232] (rows=57591150 width=77)
+ predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null)
+ TableScan [TS_12] (rows=57591150 width=77)
+ default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_net_loss"]
+ <-Reducer 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_25]
+ PartitionCols:_col2, _col1
+ Merge Join Operator [MERGEJOIN_209] (rows=316788826 width=135)
+ Conds:RS_265._col0=RS_223._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_223]
+ PartitionCols:_col0
+ Select Operator [SEL_219] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_216] (rows=36524 width=1119)
+ predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10)
+ Please refer to the previous TableScan [TS_3]
+ <-Map 16 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_265]
+ PartitionCols:_col0
+ Select Operator [SEL_264] (rows=287989836 width=135)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_263] (rows=287989836 width=135)
+ predicate:((cs_bill_customer_sk BETWEEN DynamicValue(RS_26_store_returns_sr_customer_sk_min) AND DynamicValue(RS_26_store_returns_sr_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_26_store_returns_sr_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_26_store_returns_sr_item_sk_min) AND DynamicValue(RS_26_store_returns_sr_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_26_store_returns_sr_item_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_23_d3_d_date_sk_min) AND DynamicValue(RS_23_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_23_d3_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null)
+ TableScan [TS_6] (rows=287989836 width=135)
+ default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_net_profit"]
+ <-Reducer 14 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_237]
+ Group By Operator [GBY_235] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"]
+ <-Reducer 13 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_108]
+ Group By Operator [GBY_107] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
+ Select Operator [SEL_106] (rows=63350266 width=77)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_210]
+ <-Reducer 15 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_240]
+ Group By Operator [GBY_238] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"]
+ <-Reducer 13 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_123]
+ Group By Operator [GBY_122] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
+ Select Operator [SEL_121] (rows=63350266 width=77)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_210]
+ <-Reducer 19 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_249]
+ Group By Operator [GBY_247] (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_246]
+ 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_244] (rows=462000 width=1436)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_242]
+ <-Reducer 12 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_262]
+ Group By Operator [GBY_261] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_229]
+ Group By Operator [GBY_227] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_224] (rows=36524 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_219]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_38]
+ PartitionCols:_col1, _col2, _col4
+ Merge Join Operator [MERGEJOIN_208] (rows=633595212 width=88)
+ Conds:RS_260._col0=RS_221._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_221]
+ PartitionCols:_col0
+ Select Operator [SEL_218] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_215] (rows=18262 width=1119)
+ predicate:((d_moy = 4) and (d_year = 2000) and d_date_sk is not null)
+ Please refer to the previous TableScan [TS_3]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_260]
+ PartitionCols:_col0
+ Select Operator [SEL_259] (rows=575995635 width=88)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Filter Operator [FIL_258] (rows=575995635 width=88)
+ predicate:((ss_customer_sk BETWEEN DynamicValue(RS_26_store_returns_sr_customer_sk_min) AND DynamicValue(RS_26_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_26_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_26_store_returns_sr_item_sk_min) AND DynamicValue(RS_26_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_26_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_36_d1_d_date_sk_min) AND DynamicValue(RS_36_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_36_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_45_store_s_store_sk_min) AND DynamicValue(RS_45_store_s_store_sk_max) a
nd in_bloom_filter(ss_store_sk, DynamicValue(RS_45_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null)
+ TableScan [TS_0] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_net_profit"]
+ <-Reducer 14 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_236]
+ Please refer to the previous Group By Operator [GBY_235]
+ <-Reducer 15 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_239]
+ Please refer to the previous Group By Operator [GBY_238]
+ <-Reducer 19 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_248]
+ Please refer to the previous Group By Operator [GBY_247]
+ <-Reducer 21 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_257]
+ Group By Operator [GBY_256] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_255]
+ Group By Operator [GBY_254] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_253] (rows=1704 width=1910)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_251]
+ <-Reducer 9 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_231]
+ Group By Operator [GBY_230] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_228]
+ Group By Operator [GBY_226] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_222] (rows=18262 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_218]
http://git-wip-us.apache.org/repos/asf/hive/blob/a22e7dd9/ql/src/test/results/clientpositive/perf/tez/query29.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query29.q.out b/ql/src/test/results/clientpositive/perf/tez/query29.q.out
index 8dad8be..b291bb4 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query29.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query29.q.out
@@ -107,226 +107,226 @@ POSTHOOK: Output: hdfs://### HDFS PATH ###
Plan optimized by CBO.
Vertex dependency in root stage
-Map 1 <- Reducer 8 (BROADCAST_EDGE)
-Map 9 <- Reducer 15 (BROADCAST_EDGE), Reducer 16 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 19 (BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE), Reducer 23 (BROADCAST_EDGE)
-Reducer 10 <- Map 14 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
-Reducer 11 <- Map 18 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE)
-Reducer 12 <- Map 18 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE)
-Reducer 13 <- Map 20 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
-Reducer 15 <- Map 14 (CUSTOM_SIMPLE_EDGE)
-Reducer 16 <- Map 14 (CUSTOM_SIMPLE_EDGE)
-Reducer 17 <- Map 14 (CUSTOM_SIMPLE_EDGE)
-Reducer 19 <- Map 18 (CUSTOM_SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
+Map 1 <- Reducer 7 (BROADCAST_EDGE)
+Map 8 <- Reducer 14 (BROADCAST_EDGE), Reducer 16 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 18 (BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE), Reducer 23 (BROADCAST_EDGE)
+Reducer 10 <- Reducer 15 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
+Reducer 11 <- Map 20 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE)
+Reducer 12 <- Map 22 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE)
+Reducer 14 <- Map 13 (CUSTOM_SIMPLE_EDGE)
+Reducer 15 <- Map 13 (SIMPLE_EDGE), Map 19 (SIMPLE_EDGE)
+Reducer 16 <- Reducer 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 17 <- Reducer 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 18 <- Reducer 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE)
Reducer 21 <- Map 20 (CUSTOM_SIMPLE_EDGE)
Reducer 23 <- Map 22 (CUSTOM_SIMPLE_EDGE)
-Reducer 3 <- Reducer 13 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Map 22 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 12 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
-Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
-Reducer 8 <- Map 7 (CUSTOM_SIMPLE_EDGE)
+Reducer 7 <- Map 6 (CUSTOM_SIMPLE_EDGE)
+Reducer 9 <- Map 13 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
Stage-0
Fetch Operator
limit:100
Stage-1
- Reducer 6 vectorized
- File Output Operator [FS_270]
- Limit [LIM_269] (rows=100 width=88)
+ Reducer 5 vectorized
+ File Output Operator [FS_260]
+ Limit [LIM_259] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_268] (rows=510205767 width=88)
+ Select Operator [SEL_258] (rows=463823414 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- <-Reducer 5 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_267]
- Group By Operator [GBY_266] (rows=510205767 width=88)
+ <-Reducer 4 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_257]
+ Group By Operator [GBY_256] (rows=463823414 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3
- <-Reducer 4 [SIMPLE_EDGE]
- SHUFFLE [RS_48]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_49]
PartitionCols:_col0, _col1, _col2, _col3
- Group By Operator [GBY_47] (rows=1020411534 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col17)","sum(_col22)","sum(_col3)"],keys:_col27, _col28, _col7, _col8
- Top N Key Operator [TNK_94] (rows=1020411534 width=88)
- keys:_col27, _col28, _col7, _col8,sort order:++++,top n:100
- Merge Join Operator [MERGEJOIN_206] (rows=1020411534 width=88)
- Conds:RS_43._col13=RS_257._col0(Inner),Output:["_col3","_col7","_col8","_col17","_col22","_col27","_col28"]
- <-Map 22 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_257]
- PartitionCols:_col0
- Select Operator [SEL_256] (rows=462000 width=1436)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_255] (rows=462000 width=1436)
- predicate:i_item_sk is not null
- TableScan [TS_34] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"]
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_43]
- PartitionCols:_col13
- Merge Join Operator [MERGEJOIN_205] (rows=927646829 width=88)
- Conds:RS_40._col1, _col2=RS_41._col14, _col13(Inner),Output:["_col3","_col7","_col8","_col13","_col17","_col22"]
- <-Reducer 13 [SIMPLE_EDGE]
- SHUFFLE [RS_41]
- PartitionCols:_col14, _col13
- Select Operator [SEL_33] (rows=843315281 width=88)
- Output:["_col1","_col2","_col7","_col11","_col13","_col14","_col16"]
- Merge Join Operator [MERGEJOIN_204] (rows=843315281 width=88)
- Conds:RS_30._col3=RS_249._col0(Inner),Output:["_col1","_col5","_col7","_col8","_col10","_col18","_col19"]
+ Group By Operator [GBY_48] (rows=927646829 width=88)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col14)","sum(_col22)","sum(_col3)"],keys:_col7, _col8, _col27, _col28
+ Top N Key Operator [TNK_93] (rows=927646829 width=88)
+ keys:_col7, _col8, _col27, _col28,sort order:++++,top n:100
+ Merge Join Operator [MERGEJOIN_205] (rows=927646829 width=88)
+ Conds:RS_44._col1, _col2=RS_45._col14, _col13(Inner),Output:["_col3","_col7","_col8","_col14","_col22","_col27","_col28"]
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_45]
+ PartitionCols:_col14, _col13
+ Select Operator [SEL_40] (rows=843315281 width=88)
+ Output:["_col1","_col2","_col8","_col13","_col14","_col16","_col21","_col22"]
+ Merge Join Operator [MERGEJOIN_204] (rows=843315281 width=88)
+ Conds:RS_37._col3=RS_247._col0(Inner),Output:["_col5","_col10","_col11","_col13","_col18","_col19","_col21","_col22"]
+ <-Map 22 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_247]
+ PartitionCols:_col0
+ Select Operator [SEL_246] (rows=1704 width=1910)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_245] (rows=1704 width=1910)
+ predicate:s_store_sk is not null
+ TableScan [TS_25] (rows=1704 width=1910)
+ default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name"]
+ <-Reducer 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_37]
+ PartitionCols:_col3
+ Merge Join Operator [MERGEJOIN_203] (rows=766650239 width=88)
+ Conds:RS_34._col1=RS_239._col0(Inner),Output:["_col3","_col5","_col10","_col11","_col13","_col18","_col19"]
<-Map 20 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_249]
+ PARTITION_ONLY_SHUFFLE [RS_239]
PartitionCols:_col0
- Select Operator [SEL_248] (rows=1704 width=1910)
+ Select Operator [SEL_238] (rows=462000 width=1436)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_247] (rows=1704 width=1910)
- predicate:s_store_sk is not null
- TableScan [TS_18] (rows=1704 width=1910)
- default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name"]
- <-Reducer 12 [SIMPLE_EDGE]
- SHUFFLE [RS_30]
- PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_203] (rows=766650239 width=88)
- Conds:RS_27._col6=RS_240._col0(Inner),Output:["_col1","_col3","_col5","_col7","_col8","_col10"]
- <-Map 18 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_240]
- PartitionCols:_col0
- Select Operator [SEL_238] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_236] (rows=36524 width=1119)
- predicate:((d_year = 1999) and d_date_sk is not null and d_moy BETWEEN 4 AND 7)
- TableScan [TS_15] (rows=73049 width=1119)
- default@date_dim,d2,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"]
- <-Reducer 11 [SIMPLE_EDGE]
- SHUFFLE [RS_27]
- PartitionCols:_col6
- Merge Join Operator [MERGEJOIN_202] (rows=696954748 width=88)
- Conds:RS_24._col0=RS_241._col0(Inner),Output:["_col1","_col3","_col5","_col6","_col7","_col8","_col10"]
- <-Map 18 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_241]
+ Filter Operator [FIL_237] (rows=462000 width=1436)
+ predicate:i_item_sk is not null
+ TableScan [TS_22] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"]
+ <-Reducer 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_34]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_202] (rows=696954748 width=88)
+ Conds:RS_31._col1, _col2, _col4=RS_32._col1, _col2, _col3(Inner),Output:["_col1","_col3","_col5","_col10","_col11","_col13"]
+ <-Reducer 15 [SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_32]
+ PartitionCols:_col1, _col2, _col3
+ Merge Join Operator [MERGEJOIN_201] (rows=63350266 width=77)
+ Conds:RS_230._col0=RS_223._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
+ <-Map 13 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_223]
PartitionCols:_col0
- Select Operator [SEL_239] (rows=18262 width=1119)
+ Select Operator [SEL_220] (rows=36524 width=1119)
Output:["_col0"]
- Filter Operator [FIL_237] (rows=18262 width=1119)
+ Filter Operator [FIL_218] (rows=36524 width=1119)
+ predicate:((d_year = 1999) and d_date_sk is not null and d_moy BETWEEN 4 AND 7)
+ TableScan [TS_9] (rows=73049 width=1119)
+ default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"]
+ <-Map 19 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_230]
+ PartitionCols:_col0
+ Select Operator [SEL_229] (rows=57591150 width=77)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_228] (rows=57591150 width=77)
+ predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null)
+ TableScan [TS_12] (rows=57591150 width=77)
+ default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_return_quantity"]
+ <-Reducer 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_31]
+ PartitionCols:_col1, _col2, _col4
+ Merge Join Operator [MERGEJOIN_200] (rows=633595212 width=88)
+ Conds:RS_255._col0=RS_221._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
+ <-Map 13 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_221]
+ PartitionCols:_col0
+ Select Operator [SEL_219] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_217] (rows=18262 width=1119)
predicate:((d_moy = 4) and (d_year = 1999) and d_date_sk is not null)
- Please refer to the previous TableScan [TS_15]
- <-Reducer 10 [SIMPLE_EDGE]
- SHUFFLE [RS_24]
+ Please refer to the previous TableScan [TS_9]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_255]
PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_201] (rows=633595212 width=88)
- Conds:RS_265._col1, _col2, _col4=RS_220._col1, _col2, _col3(Inner),Output:["_col0","_col1","_col3","_col5","_col6","_col7","_col8","_col10"]
- <-Map 14 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_220]
- PartitionCols:_col1, _col2, _col3
- Select Operator [SEL_219] (rows=57591150 width=77)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_218] (rows=57591150 width=77)
- predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null)
- TableScan [TS_9] (rows=57591150 width=77)
- default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_return_quantity"]
- <-Map 9 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_265]
- PartitionCols:_col1, _col2, _col4
- Select Operator [SEL_264] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Filter Operator [FIL_263] (rows=575995635 width=88)
- predicate:((ss_customer_sk BETWEEN DynamicValue(RS_22_store_returns_sr_customer_sk_min) AND DynamicValue(RS_22_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_22_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_22_store_returns_sr_item_sk_min) AND DynamicValue(RS_22_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_22_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_44_item_i_item_sk_min) AND DynamicValue(RS_44_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_44_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_25_d1_d_date_sk_min) AND DynamicValue(RS_25_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_25_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_31_store_s_store_sk_min) AND DynamicValue(RS_31_store_s_store
_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_31_store_s_store_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_22_store_returns_sr_ticket_number_min) AND DynamicValue(RS_22_store_returns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_22_store_returns_sr_ticket_number_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null)
- TableScan [TS_6] (rows=575995635 width=88)
- default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_quantity"]
- <-Reducer 15 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_231]
- Group By Operator [GBY_230] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"]
- <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_227]
- Group By Operator [GBY_224] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"]
- Select Operator [SEL_221] (rows=57591150 width=77)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_219]
- <-Reducer 16 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_233]
- Group By Operator [GBY_232] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"]
- <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_228]
- Group By Operator [GBY_225] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"]
- Select Operator [SEL_222] (rows=57591150 width=77)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_219]
- <-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_235]
- Group By Operator [GBY_234] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"]
- <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_229]
- Group By Operator [GBY_226] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"]
- Select Operator [SEL_223] (rows=57591150 width=77)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_219]
- <-Reducer 19 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_246]
- Group By Operator [GBY_245] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 18 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_244]
- Group By Operator [GBY_243] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_242] (rows=18262 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_239]
- <-Reducer 21 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_254]
- Group By Operator [GBY_253] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_252]
- Group By Operator [GBY_251] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_250] (rows=1704 width=1910)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_248]
- <-Reducer 23 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_262]
- Group By Operator [GBY_261] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 22 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_260]
- 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_258] (rows=462000 width=1436)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_256]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_40]
- PartitionCols:_col1, _col2
- Merge Join Operator [MERGEJOIN_200] (rows=316788826 width=135)
- Conds:RS_217._col0=RS_209._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 7 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_209]
- PartitionCols:_col0
- Select Operator [SEL_208] (rows=73049 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_207] (rows=73049 width=1119)
- predicate:((d_year) IN (1999, 2000, 2001) and d_date_sk is not null)
- TableScan [TS_3] (rows=73049 width=1119)
- default@date_dim,d3,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_217]
- PartitionCols:_col0
- Select Operator [SEL_216] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_215] (rows=287989836 width=135)
- predicate:((cs_sold_date_sk BETWEEN DynamicValue(RS_38_d3_d_date_sk_min) AND DynamicValue(RS_38_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_38_d3_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null)
- TableScan [TS_0] (rows=287989836 width=135)
- default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_quantity"]
- <-Reducer 8 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_214]
- Group By Operator [GBY_213] (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
- PARTITION_ONLY_SHUFFLE [RS_212]
- Group By Operator [GBY_211] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_210] (rows=73049 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_208]
+ Select Operator [SEL_254] (rows=575995635 width=88)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Filter Operator [FIL_253] (rows=575995635 width=88)
+ predicate:((ss_customer_sk BETWEEN DynamicValue(RS_32_store_returns_sr_customer_sk_min) AND DynamicValue(RS_32_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_32_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_32_store_returns_sr_item_sk_min) AND DynamicValue(RS_32_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_32_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_35_item_i_item_sk_min) AND DynamicValue(RS_35_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_35_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_29_d1_d_date_sk_min) AND DynamicValue(RS_29_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_29_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_38_store_s_store_sk_min) AND DynamicValue(RS_38_store_s_store_sk_
max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_38_store_s_store_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_32_store_returns_sr_ticket_number_min) AND DynamicValue(RS_32_store_returns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_32_store_returns_sr_ticket_number_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null)
+ TableScan [TS_6] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_quantity"]
+ <-Reducer 14 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_227]
+ Group By Operator [GBY_226] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 13 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_225]
+ Group By Operator [GBY_224] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_222] (rows=18262 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_219]
+ <-Reducer 16 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_232]
+ Group By Operator [GBY_231] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"]
+ <-Reducer 15 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_121]
+ Group By Operator [GBY_120] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
+ Select Operator [SEL_119] (rows=63350266 width=77)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_201]
+ <-Reducer 17 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_234]
+ Group By Operator [GBY_233] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"]
+ <-Reducer 15 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_126]
+ Group By Operator [GBY_125] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
+ Select Operator [SEL_124] (rows=63350266 width=77)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_201]
+ <-Reducer 18 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_236]
+ Group By Operator [GBY_235] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"]
+ <-Reducer 15 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_131]
+ Group By Operator [GBY_130] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
+ Select Operator [SEL_129] (rows=63350266 width=77)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_201]
+ <-Reducer 21 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_244]
+ Group By Operator [GBY_243] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_242]
+ Group By Operator [GBY_241] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_240] (rows=462000 width=1436)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_238]
+ <-Reducer 23 [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 22 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_250]
+ Group By Operator [GBY_249] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_248] (rows=1704 width=1910)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_246]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_44]
+ PartitionCols:_col1, _col2
+ Merge Join Operator [MERGEJOIN_199] (rows=316788826 width=135)
+ Conds:RS_216._col0=RS_208._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 6 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_208]
+ PartitionCols:_col0
+ Select Operator [SEL_207] (rows=73049 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_206] (rows=73049 width=1119)
+ predicate:((d_year) IN (1999, 2000, 2001) and d_date_sk is not null)
+ TableScan [TS_3] (rows=73049 width=1119)
+ default@date_dim,d3,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_216]
+ PartitionCols:_col0
+ Select Operator [SEL_215] (rows=287989836 width=135)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_214] (rows=287989836 width=135)
+ predicate:((cs_sold_date_sk BETWEEN DynamicValue(RS_42_d3_d_date_sk_min) AND DynamicValue(RS_42_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_42_d3_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null)
+ TableScan [TS_0] (rows=287989836 width=135)
+ default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_quantity"]
+ <-Reducer 7 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_213]
+ Group By Operator [GBY_212] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 6 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_211]
+ Group By Operator [GBY_210] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_209] (rows=73049 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_207]