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Posted to commits@hive.apache.org by se...@apache.org on 2018/07/18 18:52:08 UTC
[12/48] hive git commit: HIVE-20090 : Extend creation of semijoin
reduction filters to be able to discover new opportunities (Jesus Camacho
Rodriguez via Deepak Jaiswal)
http://git-wip-us.apache.org/repos/asf/hive/blob/ab9e954d/ql/src/test/results/clientpositive/perf/tez/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 46ff49d..791ddb6 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query29.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query29.q.out
@@ -117,116 +117,116 @@ Stage-0
limit:100
Stage-1
Reducer 5 vectorized
- File Output Operator [FS_257]
- Limit [LIM_256] (rows=100 width=88)
+ File Output Operator [FS_259]
+ Limit [LIM_258] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_255] (rows=463823414 width=88)
+ Select Operator [SEL_257] (rows=463823414 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
<-Reducer 4 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_254]
- Group By Operator [GBY_253] (rows=463823414 width=88)
+ SHUFFLE [RS_256]
+ Group By Operator [GBY_255] (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 3 [SIMPLE_EDGE]
SHUFFLE [RS_49]
PartitionCols:_col0, _col1, _col2, _col3
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
- Merge Join Operator [MERGEJOIN_202] (rows=927646829 width=88)
+ Merge Join Operator [MERGEJOIN_204] (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_201] (rows=843315281 width=88)
- Conds:RS_37._col3=RS_244._col0(Inner),Output:["_col5","_col10","_col11","_col13","_col18","_col19","_col21","_col22"]
+ Merge Join Operator [MERGEJOIN_203] (rows=843315281 width=88)
+ Conds:RS_37._col3=RS_246._col0(Inner),Output:["_col5","_col10","_col11","_col13","_col18","_col19","_col21","_col22"]
<-Map 22 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_244]
+ PARTITION_ONLY_SHUFFLE [RS_246]
PartitionCols:_col0
- Select Operator [SEL_243] (rows=1704 width=1910)
+ Select Operator [SEL_245] (rows=1704 width=1910)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_242] (rows=1704 width=1910)
+ Filter Operator [FIL_244] (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_200] (rows=766650239 width=88)
- Conds:RS_34._col1=RS_236._col0(Inner),Output:["_col3","_col5","_col10","_col11","_col13","_col18","_col19"]
+ Merge Join Operator [MERGEJOIN_202] (rows=766650239 width=88)
+ Conds:RS_34._col1=RS_238._col0(Inner),Output:["_col3","_col5","_col10","_col11","_col13","_col18","_col19"]
<-Map 20 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_236]
+ PARTITION_ONLY_SHUFFLE [RS_238]
PartitionCols:_col0
- Select Operator [SEL_235] (rows=462000 width=1436)
+ Select Operator [SEL_237] (rows=462000 width=1436)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_234] (rows=462000 width=1436)
+ Filter Operator [FIL_236] (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_199] (rows=696954748 width=88)
+ Merge Join Operator [MERGEJOIN_201] (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_198] (rows=63350266 width=77)
- Conds:RS_227._col0=RS_220._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
+ Merge Join Operator [MERGEJOIN_200] (rows=63350266 width=77)
+ Conds:RS_229._col0=RS_222._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
<-Map 13 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_220]
+ SHUFFLE [RS_222]
PartitionCols:_col0
- Select Operator [SEL_217] (rows=4058 width=1119)
+ Select Operator [SEL_219] (rows=4058 width=1119)
Output:["_col0"]
- Filter Operator [FIL_215] (rows=4058 width=1119)
+ Filter Operator [FIL_217] (rows=4058 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_227]
+ SHUFFLE [RS_229]
PartitionCols:_col0
- Select Operator [SEL_226] (rows=57591150 width=77)
+ Select Operator [SEL_228] (rows=57591150 width=77)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_225] (rows=57591150 width=77)
+ Filter Operator [FIL_227] (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_197] (rows=633595212 width=88)
- Conds:RS_252._col0=RS_218._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_199] (rows=633595212 width=88)
+ Conds:RS_254._col0=RS_220._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
<-Map 13 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_218]
+ SHUFFLE [RS_220]
PartitionCols:_col0
- Select Operator [SEL_216] (rows=18262 width=1119)
+ Select Operator [SEL_218] (rows=18262 width=1119)
Output:["_col0"]
- Filter Operator [FIL_214] (rows=18262 width=1119)
+ Filter Operator [FIL_216] (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_9]
<-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_252]
+ SHUFFLE [RS_254]
PartitionCols:_col0
- Select Operator [SEL_251] (rows=575995635 width=88)
+ Select Operator [SEL_253] (rows=575995635 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Filter Operator [FIL_250] (rows=575995635 width=88)
+ Filter Operator [FIL_252] (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_ma
x) 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_224]
- Group By Operator [GBY_223] (rows=1 width=12)
+ BROADCAST [RS_226]
+ Group By Operator [GBY_225] (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_222]
- Group By Operator [GBY_221] (rows=1 width=12)
+ SHUFFLE [RS_224]
+ 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_219] (rows=18262 width=1119)
+ Select Operator [SEL_221] (rows=18262 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_216]
+ Please refer to the previous Select Operator [SEL_218]
<-Reducer 16 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_229]
- Group By Operator [GBY_228] (rows=1 width=12)
+ 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=63350264)"]
<-Reducer 15 [CUSTOM_SIMPLE_EDGE]
PARTITION_ONLY_SHUFFLE [RS_120]
@@ -234,10 +234,10 @@ Stage-0
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
Select Operator [SEL_118] (rows=63350266 width=77)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_198]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_200]
<-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_231]
- Group By Operator [GBY_230] (rows=1 width=12)
+ 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=63350264)"]
<-Reducer 15 [CUSTOM_SIMPLE_EDGE]
PARTITION_ONLY_SHUFFLE [RS_125]
@@ -245,10 +245,10 @@ Stage-0
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
Select Operator [SEL_123] (rows=63350266 width=77)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_198]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_200]
<-Reducer 18 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_233]
- Group By Operator [GBY_232] (rows=1 width=12)
+ 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=63350264)"]
<-Reducer 15 [CUSTOM_SIMPLE_EDGE]
PARTITION_ONLY_SHUFFLE [RS_130]
@@ -256,61 +256,61 @@ Stage-0
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
Select Operator [SEL_128] (rows=63350266 width=77)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_198]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_200]
<-Reducer 21 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_241]
- Group By Operator [GBY_240] (rows=1 width=12)
+ BROADCAST [RS_243]
+ Group By Operator [GBY_242] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_239]
- Group By Operator [GBY_238] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_241]
+ Group By Operator [GBY_240] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_237] (rows=462000 width=1436)
+ Select Operator [SEL_239] (rows=462000 width=1436)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_235]
+ Please refer to the previous Select Operator [SEL_237]
<-Reducer 23 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_249]
- Group By Operator [GBY_248] (rows=1 width=12)
+ BROADCAST [RS_251]
+ Group By Operator [GBY_250] (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_247]
- Group By Operator [GBY_246] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_249]
+ 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_245] (rows=1704 width=1910)
+ Select Operator [SEL_247] (rows=1704 width=1910)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_243]
+ Please refer to the previous Select Operator [SEL_245]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_44]
PartitionCols:_col1, _col2
- Merge Join Operator [MERGEJOIN_196] (rows=316788826 width=135)
- Conds:RS_213._col0=RS_205._col0(Inner),Output:["_col1","_col2","_col3"]
+ Merge Join Operator [MERGEJOIN_198] (rows=316788826 width=135)
+ Conds:RS_215._col0=RS_207._col0(Inner),Output:["_col1","_col2","_col3"]
<-Map 6 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_205]
+ PARTITION_ONLY_SHUFFLE [RS_207]
PartitionCols:_col0
- Select Operator [SEL_204] (rows=36525 width=1119)
+ Select Operator [SEL_206] (rows=36525 width=1119)
Output:["_col0"]
- Filter Operator [FIL_203] (rows=36525 width=1119)
+ Filter Operator [FIL_205] (rows=36525 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_213]
+ SHUFFLE [RS_215]
PartitionCols:_col0
- Select Operator [SEL_212] (rows=287989836 width=135)
+ Select Operator [SEL_214] (rows=287989836 width=135)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_211] (rows=287989836 width=135)
+ Filter Operator [FIL_213] (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_210]
- Group By Operator [GBY_209] (rows=1 width=12)
+ BROADCAST [RS_212]
+ Group By Operator [GBY_211] (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_208]
- Group By Operator [GBY_207] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_210]
+ Group By Operator [GBY_209] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_206] (rows=36525 width=1119)
+ Select Operator [SEL_208] (rows=36525 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_204]
+ Please refer to the previous Select Operator [SEL_206]
http://git-wip-us.apache.org/repos/asf/hive/blob/ab9e954d/ql/src/test/results/clientpositive/perf/tez/query31.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query31.q.out b/ql/src/test/results/clientpositive/perf/tez/query31.q.out
index c4d717d..22aee37 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query31.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query31.q.out
@@ -152,377 +152,377 @@ Stage-0
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
Filter Operator [FIL_130] (rows=287493839 width=88)
predicate:(CASE WHEN ((_col1 > 0)) THEN (CASE WHEN ((_col9 > 0)) THEN (((_col11 / _col9) > (_col5 / _col1))) ELSE ((null > (_col5 / _col1))) END) ELSE (CASE WHEN ((_col9 > 0)) THEN (((_col11 / _col9) > null)) ELSE (null) END) END and CASE WHEN ((_col3 > 0)) THEN (CASE WHEN ((_col7 > 0)) THEN (((_col9 / _col7) > (_col1 / _col3))) ELSE ((null > (_col1 / _col3))) END) ELSE (CASE WHEN ((_col7 > 0)) THEN (((_col9 / _col7) > null)) ELSE (null) END) END)
- Merge Join Operator [MERGEJOIN_439] (rows=1149975359 width=88)
- Conds:RS_510._col0=RS_519._col0(Inner),RS_510._col0=RS_528._col0(Inner),RS_510._col0=RS_128._col0(Inner),Output:["_col0","_col1","_col3","_col5","_col7","_col9","_col11"]
+ Merge Join Operator [MERGEJOIN_448] (rows=1149975359 width=88)
+ Conds:RS_519._col0=RS_528._col0(Inner),RS_519._col0=RS_537._col0(Inner),RS_519._col0=RS_128._col0(Inner),Output:["_col0","_col1","_col3","_col5","_col7","_col9","_col11"]
<-Reducer 10 [ONE_TO_ONE_EDGE] vectorized
- FORWARD [RS_519]
+ FORWARD [RS_528]
PartitionCols:_col0
- Group By Operator [GBY_518] (rows=348477374 width=88)
+ Group By Operator [GBY_527] (rows=348477374 width=88)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 9 [SIMPLE_EDGE]
SHUFFLE [RS_37]
PartitionCols:_col0
Group By Operator [GBY_36] (rows=696954748 width=88)
Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7
- Merge Join Operator [MERGEJOIN_429] (rows=696954748 width=88)
- Conds:RS_32._col1=RS_482._col0(Inner),Output:["_col2","_col7"]
+ Merge Join Operator [MERGEJOIN_438] (rows=696954748 width=88)
+ Conds:RS_32._col1=RS_491._col0(Inner),Output:["_col2","_col7"]
<-Map 29 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_482]
+ SHUFFLE [RS_491]
PartitionCols:_col0
- Select Operator [SEL_479] (rows=40000000 width=1014)
+ Select Operator [SEL_488] (rows=40000000 width=1014)
Output:["_col0","_col1"]
- Filter Operator [FIL_478] (rows=40000000 width=1014)
+ Filter Operator [FIL_487] (rows=40000000 width=1014)
predicate:(ca_address_sk is not null and ca_county is not null)
TableScan [TS_6] (rows=40000000 width=1014)
default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_county"]
<-Reducer 8 [SIMPLE_EDGE]
SHUFFLE [RS_32]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_428] (rows=633595212 width=88)
- Conds:RS_517._col0=RS_454._col0(Inner),Output:["_col1","_col2"]
+ Merge Join Operator [MERGEJOIN_437] (rows=633595212 width=88)
+ Conds:RS_526._col0=RS_463._col0(Inner),Output:["_col1","_col2"]
<-Map 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_454]
+ SHUFFLE [RS_463]
PartitionCols:_col0
- Select Operator [SEL_447] (rows=18262 width=1119)
+ Select Operator [SEL_456] (rows=18262 width=1119)
Output:["_col0"]
- Filter Operator [FIL_441] (rows=18262 width=1119)
+ Filter Operator [FIL_450] (rows=18262 width=1119)
predicate:((d_qoy = 1) and (d_year = 2000) and d_date_sk is not null)
TableScan [TS_3] (rows=73049 width=1119)
default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"]
<-Map 36 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_517]
+ SHUFFLE [RS_526]
PartitionCols:_col0
- Select Operator [SEL_516] (rows=575995635 width=88)
+ Select Operator [SEL_525] (rows=575995635 width=88)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_515] (rows=575995635 width=88)
+ Filter Operator [FIL_524] (rows=575995635 width=88)
predicate:((ss_addr_sk BETWEEN DynamicValue(RS_33_customer_address_ca_address_sk_min) AND DynamicValue(RS_33_customer_address_ca_address_sk_max) and in_bloom_filter(ss_addr_sk, DynamicValue(RS_33_customer_address_ca_address_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_30_date_dim_d_date_sk_min) AND DynamicValue(RS_30_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_30_date_dim_d_date_sk_bloom_filter))) and ss_addr_sk is not null and ss_sold_date_sk is not null)
TableScan [TS_20] (rows=575995635 width=88)
default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_addr_sk","ss_ext_sales_price"]
<-Reducer 11 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_512]
- Group By Operator [GBY_511] (rows=1 width=12)
+ BROADCAST [RS_521]
+ Group By Operator [GBY_520] (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
- SHUFFLE [RS_471]
- Group By Operator [GBY_465] (rows=1 width=12)
+ SHUFFLE [RS_480]
+ Group By Operator [GBY_474] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_455] (rows=18262 width=1119)
+ Select Operator [SEL_464] (rows=18262 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_447]
+ Please refer to the previous Select Operator [SEL_456]
<-Reducer 31 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_514]
- Group By Operator [GBY_513] (rows=1 width=12)
+ BROADCAST [RS_523]
+ Group By Operator [GBY_522] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=40000000)"]
<-Map 29 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_499]
- Group By Operator [GBY_493] (rows=1 width=12)
+ SHUFFLE [RS_508]
+ Group By Operator [GBY_502] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=40000000)"]
- Select Operator [SEL_483] (rows=40000000 width=1014)
+ Select Operator [SEL_492] (rows=40000000 width=1014)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 14 [ONE_TO_ONE_EDGE] vectorized
- FORWARD [RS_528]
+ FORWARD [RS_537]
PartitionCols:_col0
- Group By Operator [GBY_527] (rows=348477374 width=88)
+ Group By Operator [GBY_536] (rows=348477374 width=88)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 13 [SIMPLE_EDGE]
SHUFFLE [RS_57]
PartitionCols:_col0
Group By Operator [GBY_56] (rows=696954748 width=88)
Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7
- Merge Join Operator [MERGEJOIN_431] (rows=696954748 width=88)
- Conds:RS_52._col1=RS_484._col0(Inner),Output:["_col2","_col7"]
+ Merge Join Operator [MERGEJOIN_440] (rows=696954748 width=88)
+ Conds:RS_52._col1=RS_493._col0(Inner),Output:["_col2","_col7"]
<-Map 29 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_484]
+ SHUFFLE [RS_493]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 12 [SIMPLE_EDGE]
SHUFFLE [RS_52]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_430] (rows=633595212 width=88)
- Conds:RS_526._col0=RS_456._col0(Inner),Output:["_col1","_col2"]
+ Merge Join Operator [MERGEJOIN_439] (rows=633595212 width=88)
+ Conds:RS_535._col0=RS_465._col0(Inner),Output:["_col1","_col2"]
<-Map 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_456]
+ SHUFFLE [RS_465]
PartitionCols:_col0
- Select Operator [SEL_448] (rows=18262 width=1119)
+ Select Operator [SEL_457] (rows=18262 width=1119)
Output:["_col0"]
- Filter Operator [FIL_442] (rows=18262 width=1119)
+ Filter Operator [FIL_451] (rows=18262 width=1119)
predicate:((d_qoy = 3) and (d_year = 2000) and d_date_sk is not null)
Please refer to the previous TableScan [TS_3]
<-Map 37 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_526]
+ SHUFFLE [RS_535]
PartitionCols:_col0
- Select Operator [SEL_525] (rows=575995635 width=88)
+ Select Operator [SEL_534] (rows=575995635 width=88)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_524] (rows=575995635 width=88)
+ Filter Operator [FIL_533] (rows=575995635 width=88)
predicate:((ss_addr_sk BETWEEN DynamicValue(RS_53_customer_address_ca_address_sk_min) AND DynamicValue(RS_53_customer_address_ca_address_sk_max) and in_bloom_filter(ss_addr_sk, DynamicValue(RS_53_customer_address_ca_address_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_50_date_dim_d_date_sk_min) AND DynamicValue(RS_50_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_50_date_dim_d_date_sk_bloom_filter))) and ss_addr_sk is not null and ss_sold_date_sk is not null)
TableScan [TS_40] (rows=575995635 width=88)
default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_addr_sk","ss_ext_sales_price"]
<-Reducer 15 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_521]
- Group By Operator [GBY_520] (rows=1 width=12)
+ BROADCAST [RS_530]
+ Group By Operator [GBY_529] (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
- SHUFFLE [RS_472]
- Group By Operator [GBY_466] (rows=1 width=12)
+ SHUFFLE [RS_481]
+ Group By Operator [GBY_475] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_457] (rows=18262 width=1119)
+ Select Operator [SEL_466] (rows=18262 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_448]
+ Please refer to the previous Select Operator [SEL_457]
<-Reducer 32 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_523]
- Group By Operator [GBY_522] (rows=1 width=12)
+ BROADCAST [RS_532]
+ Group By Operator [GBY_531] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=40000000)"]
<-Map 29 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_500]
- Group By Operator [GBY_494] (rows=1 width=12)
+ SHUFFLE [RS_509]
+ Group By Operator [GBY_503] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=40000000)"]
- Select Operator [SEL_485] (rows=40000000 width=1014)
+ Select Operator [SEL_494] (rows=40000000 width=1014)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 19 [ONE_TO_ONE_EDGE]
FORWARD [RS_128]
PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_438] (rows=191667561 width=135)
- Conds:RS_537._col0=RS_546._col0(Inner),RS_537._col0=RS_555._col0(Inner),Output:["_col0","_col1","_col3","_col5"]
+ Merge Join Operator [MERGEJOIN_447] (rows=191667561 width=135)
+ Conds:RS_546._col0=RS_555._col0(Inner),RS_546._col0=RS_564._col0(Inner),Output:["_col0","_col1","_col3","_col5"]
<-Reducer 18 [ONE_TO_ONE_EDGE] vectorized
- FORWARD [RS_537]
+ FORWARD [RS_546]
PartitionCols:_col0
- Group By Operator [GBY_536] (rows=87121617 width=135)
+ Group By Operator [GBY_545] (rows=87121617 width=135)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 17 [SIMPLE_EDGE]
SHUFFLE [RS_77]
PartitionCols:_col0
Group By Operator [GBY_76] (rows=174243235 width=135)
Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7
- Merge Join Operator [MERGEJOIN_433] (rows=174243235 width=135)
- Conds:RS_72._col1=RS_486._col0(Inner),Output:["_col2","_col7"]
+ Merge Join Operator [MERGEJOIN_442] (rows=174243235 width=135)
+ Conds:RS_72._col1=RS_495._col0(Inner),Output:["_col2","_col7"]
<-Map 29 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_486]
+ SHUFFLE [RS_495]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 16 [SIMPLE_EDGE]
SHUFFLE [RS_72]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_432] (rows=158402938 width=135)
- Conds:RS_535._col0=RS_458._col0(Inner),Output:["_col1","_col2"]
+ Merge Join Operator [MERGEJOIN_441] (rows=158402938 width=135)
+ Conds:RS_544._col0=RS_467._col0(Inner),Output:["_col1","_col2"]
<-Map 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_458]
+ SHUFFLE [RS_467]
PartitionCols:_col0
- Select Operator [SEL_449] (rows=18262 width=1119)
+ Select Operator [SEL_458] (rows=18262 width=1119)
Output:["_col0"]
- Filter Operator [FIL_443] (rows=18262 width=1119)
+ Filter Operator [FIL_452] (rows=18262 width=1119)
predicate:((d_qoy = 1) and (d_year = 2000) and d_date_sk is not null)
Please refer to the previous TableScan [TS_3]
<-Map 38 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_535]
+ SHUFFLE [RS_544]
PartitionCols:_col0
- Select Operator [SEL_534] (rows=144002668 width=135)
+ Select Operator [SEL_543] (rows=144002668 width=135)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_533] (rows=144002668 width=135)
+ Filter Operator [FIL_542] (rows=144002668 width=135)
predicate:((ws_bill_addr_sk BETWEEN DynamicValue(RS_73_customer_address_ca_address_sk_min) AND DynamicValue(RS_73_customer_address_ca_address_sk_max) and in_bloom_filter(ws_bill_addr_sk, DynamicValue(RS_73_customer_address_ca_address_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_70_date_dim_d_date_sk_min) AND DynamicValue(RS_70_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_70_date_dim_d_date_sk_bloom_filter))) and ws_bill_addr_sk is not null and ws_sold_date_sk is not null)
TableScan [TS_60] (rows=144002668 width=135)
default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_bill_addr_sk","ws_ext_sales_price"]
<-Reducer 20 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_530]
- Group By Operator [GBY_529] (rows=1 width=12)
+ BROADCAST [RS_539]
+ Group By Operator [GBY_538] (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
- SHUFFLE [RS_473]
- Group By Operator [GBY_467] (rows=1 width=12)
+ SHUFFLE [RS_482]
+ Group By Operator [GBY_476] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_459] (rows=18262 width=1119)
+ Select Operator [SEL_468] (rows=18262 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_449]
+ Please refer to the previous Select Operator [SEL_458]
<-Reducer 33 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_532]
- Group By Operator [GBY_531] (rows=1 width=12)
+ BROADCAST [RS_541]
+ Group By Operator [GBY_540] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=40000000)"]
<-Map 29 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_501]
- Group By Operator [GBY_495] (rows=1 width=12)
+ SHUFFLE [RS_510]
+ Group By Operator [GBY_504] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=40000000)"]
- Select Operator [SEL_487] (rows=40000000 width=1014)
+ Select Operator [SEL_496] (rows=40000000 width=1014)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 23 [ONE_TO_ONE_EDGE] vectorized
- FORWARD [RS_546]
+ FORWARD [RS_555]
PartitionCols:_col0
- Group By Operator [GBY_545] (rows=87121617 width=135)
+ Group By Operator [GBY_554] (rows=87121617 width=135)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 22 [SIMPLE_EDGE]
SHUFFLE [RS_97]
PartitionCols:_col0
Group By Operator [GBY_96] (rows=174243235 width=135)
Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7
- Merge Join Operator [MERGEJOIN_435] (rows=174243235 width=135)
- Conds:RS_92._col1=RS_488._col0(Inner),Output:["_col2","_col7"]
+ Merge Join Operator [MERGEJOIN_444] (rows=174243235 width=135)
+ Conds:RS_92._col1=RS_497._col0(Inner),Output:["_col2","_col7"]
<-Map 29 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_488]
+ SHUFFLE [RS_497]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 21 [SIMPLE_EDGE]
SHUFFLE [RS_92]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_434] (rows=158402938 width=135)
- Conds:RS_544._col0=RS_460._col0(Inner),Output:["_col1","_col2"]
+ Merge Join Operator [MERGEJOIN_443] (rows=158402938 width=135)
+ Conds:RS_553._col0=RS_469._col0(Inner),Output:["_col1","_col2"]
<-Map 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_460]
+ SHUFFLE [RS_469]
PartitionCols:_col0
- Select Operator [SEL_450] (rows=18262 width=1119)
+ Select Operator [SEL_459] (rows=18262 width=1119)
Output:["_col0"]
- Filter Operator [FIL_444] (rows=18262 width=1119)
+ Filter Operator [FIL_453] (rows=18262 width=1119)
predicate:((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null)
Please refer to the previous TableScan [TS_3]
<-Map 39 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_544]
+ SHUFFLE [RS_553]
PartitionCols:_col0
- Select Operator [SEL_543] (rows=144002668 width=135)
+ Select Operator [SEL_552] (rows=144002668 width=135)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_542] (rows=144002668 width=135)
+ Filter Operator [FIL_551] (rows=144002668 width=135)
predicate:((ws_bill_addr_sk BETWEEN DynamicValue(RS_93_customer_address_ca_address_sk_min) AND DynamicValue(RS_93_customer_address_ca_address_sk_max) and in_bloom_filter(ws_bill_addr_sk, DynamicValue(RS_93_customer_address_ca_address_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_90_date_dim_d_date_sk_min) AND DynamicValue(RS_90_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_90_date_dim_d_date_sk_bloom_filter))) and ws_bill_addr_sk is not null and ws_sold_date_sk is not null)
TableScan [TS_80] (rows=144002668 width=135)
default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_bill_addr_sk","ws_ext_sales_price"]
<-Reducer 24 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_539]
- Group By Operator [GBY_538] (rows=1 width=12)
+ BROADCAST [RS_548]
+ Group By Operator [GBY_547] (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
- SHUFFLE [RS_474]
- Group By Operator [GBY_468] (rows=1 width=12)
+ SHUFFLE [RS_483]
+ Group By Operator [GBY_477] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_461] (rows=18262 width=1119)
+ Select Operator [SEL_470] (rows=18262 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_450]
+ Please refer to the previous Select Operator [SEL_459]
<-Reducer 34 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_541]
- Group By Operator [GBY_540] (rows=1 width=12)
+ BROADCAST [RS_550]
+ Group By Operator [GBY_549] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=40000000)"]
<-Map 29 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_502]
- Group By Operator [GBY_496] (rows=1 width=12)
+ SHUFFLE [RS_511]
+ Group By Operator [GBY_505] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=40000000)"]
- Select Operator [SEL_489] (rows=40000000 width=1014)
+ Select Operator [SEL_498] (rows=40000000 width=1014)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 27 [ONE_TO_ONE_EDGE] vectorized
- FORWARD [RS_555]
+ FORWARD [RS_564]
PartitionCols:_col0
- Group By Operator [GBY_554] (rows=87121617 width=135)
+ Group By Operator [GBY_563] (rows=87121617 width=135)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 26 [SIMPLE_EDGE]
SHUFFLE [RS_117]
PartitionCols:_col0
Group By Operator [GBY_116] (rows=174243235 width=135)
Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7
- Merge Join Operator [MERGEJOIN_437] (rows=174243235 width=135)
- Conds:RS_112._col1=RS_490._col0(Inner),Output:["_col2","_col7"]
+ Merge Join Operator [MERGEJOIN_446] (rows=174243235 width=135)
+ Conds:RS_112._col1=RS_499._col0(Inner),Output:["_col2","_col7"]
<-Map 29 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_490]
+ SHUFFLE [RS_499]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 25 [SIMPLE_EDGE]
SHUFFLE [RS_112]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_436] (rows=158402938 width=135)
- Conds:RS_553._col0=RS_462._col0(Inner),Output:["_col1","_col2"]
+ Merge Join Operator [MERGEJOIN_445] (rows=158402938 width=135)
+ Conds:RS_562._col0=RS_471._col0(Inner),Output:["_col1","_col2"]
<-Map 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_462]
+ SHUFFLE [RS_471]
PartitionCols:_col0
- Select Operator [SEL_451] (rows=18262 width=1119)
+ Select Operator [SEL_460] (rows=18262 width=1119)
Output:["_col0"]
- Filter Operator [FIL_445] (rows=18262 width=1119)
+ Filter Operator [FIL_454] (rows=18262 width=1119)
predicate:((d_qoy = 3) and (d_year = 2000) and d_date_sk is not null)
Please refer to the previous TableScan [TS_3]
<-Map 40 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_553]
+ SHUFFLE [RS_562]
PartitionCols:_col0
- Select Operator [SEL_552] (rows=144002668 width=135)
+ Select Operator [SEL_561] (rows=144002668 width=135)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_551] (rows=144002668 width=135)
+ Filter Operator [FIL_560] (rows=144002668 width=135)
predicate:((ws_bill_addr_sk BETWEEN DynamicValue(RS_113_customer_address_ca_address_sk_min) AND DynamicValue(RS_113_customer_address_ca_address_sk_max) and in_bloom_filter(ws_bill_addr_sk, DynamicValue(RS_113_customer_address_ca_address_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_110_date_dim_d_date_sk_min) AND DynamicValue(RS_110_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_110_date_dim_d_date_sk_bloom_filter))) and ws_bill_addr_sk is not null and ws_sold_date_sk is not null)
TableScan [TS_100] (rows=144002668 width=135)
default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_bill_addr_sk","ws_ext_sales_price"]
<-Reducer 28 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_548]
- Group By Operator [GBY_547] (rows=1 width=12)
+ BROADCAST [RS_557]
+ Group By Operator [GBY_556] (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
- SHUFFLE [RS_475]
- Group By Operator [GBY_469] (rows=1 width=12)
+ SHUFFLE [RS_484]
+ Group By Operator [GBY_478] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_463] (rows=18262 width=1119)
+ Select Operator [SEL_472] (rows=18262 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_451]
+ Please refer to the previous Select Operator [SEL_460]
<-Reducer 35 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_550]
- Group By Operator [GBY_549] (rows=1 width=12)
+ BROADCAST [RS_559]
+ Group By Operator [GBY_558] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=40000000)"]
<-Map 29 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_503]
- Group By Operator [GBY_497] (rows=1 width=12)
+ SHUFFLE [RS_512]
+ Group By Operator [GBY_506] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=40000000)"]
- Select Operator [SEL_491] (rows=40000000 width=1014)
+ Select Operator [SEL_500] (rows=40000000 width=1014)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 4 [ONE_TO_ONE_EDGE] vectorized
- FORWARD [RS_510]
+ FORWARD [RS_519]
PartitionCols:_col0
- Group By Operator [GBY_509] (rows=348477374 width=88)
+ Group By Operator [GBY_518] (rows=348477374 width=88)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_17]
PartitionCols:_col0
Group By Operator [GBY_16] (rows=696954748 width=88)
Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col7
- Merge Join Operator [MERGEJOIN_427] (rows=696954748 width=88)
- Conds:RS_12._col1=RS_480._col0(Inner),Output:["_col2","_col7"]
+ Merge Join Operator [MERGEJOIN_436] (rows=696954748 width=88)
+ Conds:RS_12._col1=RS_489._col0(Inner),Output:["_col2","_col7"]
<-Map 29 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_480]
+ SHUFFLE [RS_489]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_12]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_426] (rows=633595212 width=88)
- Conds:RS_508._col0=RS_452._col0(Inner),Output:["_col1","_col2"]
+ Merge Join Operator [MERGEJOIN_435] (rows=633595212 width=88)
+ Conds:RS_517._col0=RS_461._col0(Inner),Output:["_col1","_col2"]
<-Map 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_452]
+ SHUFFLE [RS_461]
PartitionCols:_col0
- Select Operator [SEL_446] (rows=18262 width=1119)
+ Select Operator [SEL_455] (rows=18262 width=1119)
Output:["_col0"]
- Filter Operator [FIL_440] (rows=18262 width=1119)
+ Filter Operator [FIL_449] (rows=18262 width=1119)
predicate:((d_qoy = 2) 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_508]
+ SHUFFLE [RS_517]
PartitionCols:_col0
- Select Operator [SEL_507] (rows=575995635 width=88)
+ Select Operator [SEL_516] (rows=575995635 width=88)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_506] (rows=575995635 width=88)
+ Filter Operator [FIL_515] (rows=575995635 width=88)
predicate:((ss_addr_sk BETWEEN DynamicValue(RS_13_customer_address_ca_address_sk_min) AND DynamicValue(RS_13_customer_address_ca_address_sk_max) and in_bloom_filter(ss_addr_sk, DynamicValue(RS_13_customer_address_ca_address_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_10_date_dim_d_date_sk_min) AND DynamicValue(RS_10_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_10_date_dim_d_date_sk_bloom_filter))) and ss_addr_sk is not null and ss_sold_date_sk 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_addr_sk","ss_ext_sales_price"]
<-Reducer 30 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_505]
- Group By Operator [GBY_504] (rows=1 width=12)
+ BROADCAST [RS_514]
+ Group By Operator [GBY_513] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=40000000)"]
<-Map 29 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_498]
- Group By Operator [GBY_492] (rows=1 width=12)
+ SHUFFLE [RS_507]
+ Group By Operator [GBY_501] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=40000000)"]
- Select Operator [SEL_481] (rows=40000000 width=1014)
+ Select Operator [SEL_490] (rows=40000000 width=1014)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_479]
+ Please refer to the previous Select Operator [SEL_488]
<-Reducer 7 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_477]
- Group By Operator [GBY_476] (rows=1 width=12)
+ BROADCAST [RS_486]
+ Group By Operator [GBY_485] (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
- SHUFFLE [RS_470]
- Group By Operator [GBY_464] (rows=1 width=12)
+ SHUFFLE [RS_479]
+ Group By Operator [GBY_473] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_453] (rows=18262 width=1119)
+ Select Operator [SEL_462] (rows=18262 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_446]
+ Please refer to the previous Select Operator [SEL_455]
http://git-wip-us.apache.org/repos/asf/hive/blob/ab9e954d/ql/src/test/results/clientpositive/perf/tez/query32.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query32.q.out b/ql/src/test/results/clientpositive/perf/tez/query32.q.out
index 6be6f7a..2a472c1 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query32.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query32.q.out
@@ -55,27 +55,24 @@ POSTHOOK: type: QUERY
Plan optimized by CBO.
Vertex dependency in root stage
-Map 1 <- Reducer 6 (BROADCAST_EDGE)
-Map 11 <- Reducer 10 (BROADCAST_EDGE), Reducer 13 (BROADCAST_EDGE)
-Reducer 10 <- Map 5 (CUSTOM_SIMPLE_EDGE)
-Reducer 13 <- Map 12 (CUSTOM_SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE)
-Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 9 (ONE_TO_ONE_EDGE)
+Map 1 <- Reducer 10 (BROADCAST_EDGE), Reducer 8 (BROADCAST_EDGE)
+Reducer 10 <- Map 9 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 6 (ONE_TO_ONE_EDGE)
Reducer 4 <- Reducer 3 (CUSTOM_SIMPLE_EDGE)
-Reducer 6 <- Map 5 (CUSTOM_SIMPLE_EDGE)
-Reducer 7 <- Map 11 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE)
-Reducer 8 <- Reducer 7 (SIMPLE_EDGE)
-Reducer 9 <- Map 12 (SIMPLE_EDGE), Reducer 8 (ONE_TO_ONE_EDGE)
+Reducer 5 <- Reducer 2 (SIMPLE_EDGE)
+Reducer 6 <- Map 9 (SIMPLE_EDGE), Reducer 5 (ONE_TO_ONE_EDGE)
+Reducer 8 <- Map 7 (CUSTOM_SIMPLE_EDGE)
Stage-0
Fetch Operator
limit:100
Stage-1
Reducer 4 vectorized
- File Output Operator [FS_136]
- Limit [LIM_135] (rows=1 width=112)
+ File Output Operator [FS_129]
+ Limit [LIM_128] (rows=1 width=112)
Number of rows:100
- Group By Operator [GBY_134] (rows=1 width=112)
+ Group By Operator [GBY_127] (rows=1 width=112)
Output:["_col0"],aggregations:["sum(VALUE._col0)"]
<-Reducer 3 [CUSTOM_SIMPLE_EDGE]
PARTITION_ONLY_SHUFFLE [RS_36]
@@ -85,103 +82,78 @@ Stage-0
Output:["_col2"]
Filter Operator [FIL_33] (rows=116155905 width=135)
predicate:(_col2 > CAST( (1.3 * _col6) AS decimal(14,7)))
- Merge Join Operator [MERGEJOIN_102] (rows=348467716 width=135)
+ Merge Join Operator [MERGEJOIN_104] (rows=348467716 width=135)
Conds:RS_30._col1=RS_31._col2(Inner),Output:["_col2","_col6"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_30]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_99] (rows=316788826 width=135)
- Conds:RS_117._col0=RS_105._col0(Inner),Output:["_col1","_col2"]
- <-Map 5 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_105]
+ Merge Join Operator [MERGEJOIN_101] (rows=316788826 width=135)
+ Conds:RS_123._col0=RS_107._col0(Inner),Output:["_col1","_col2"]
+ <-Map 7 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_107]
PartitionCols:_col0
- Select Operator [SEL_104] (rows=8116 width=1119)
+ Select Operator [SEL_106] (rows=8116 width=1119)
Output:["_col0"]
- Filter Operator [FIL_103] (rows=8116 width=1119)
+ Filter Operator [FIL_105] (rows=8116 width=1119)
predicate:(CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-18 00:00:00' AND TIMESTAMP'1998-06-16 00:00:00' and d_date_sk is not null)
TableScan [TS_3] (rows=73049 width=1119)
default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date"]
<-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_117]
+ SHUFFLE [RS_123]
PartitionCols:_col0
- Select Operator [SEL_116] (rows=287989836 width=135)
+ Select Operator [SEL_122] (rows=287989836 width=135)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_115] (rows=287989836 width=135)
- predicate:((cs_sold_date_sk BETWEEN DynamicValue(RS_28_date_dim_d_date_sk_min) AND DynamicValue(RS_28_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_28_date_dim_d_date_sk_bloom_filter))) and cs_item_sk is not null and cs_sold_date_sk is not null)
+ Filter Operator [FIL_121] (rows=287989836 width=135)
+ predicate:((cs_item_sk BETWEEN DynamicValue(RS_24_item_i_item_sk_min) AND DynamicValue(RS_24_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_24_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_28_date_dim_d_date_sk_min) AND DynamicValue(RS_28_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_28_date_dim_d_date_sk_bloom_filter))) 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_item_sk","cs_ext_discount_amt"]
- <-Reducer 6 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_114]
- Group By Operator [GBY_113] (rows=1 width=12)
+ <-Reducer 10 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_120]
+ Group By Operator [GBY_119] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 5 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_111]
+ <-Map 9 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_118]
+ Group By Operator [GBY_117] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_116] (rows=231000 width=1436)
+ Output:["_col0"]
+ Select Operator [SEL_114] (rows=231000 width=1436)
+ Output:["_col0"]
+ Filter Operator [FIL_113] (rows=231000 width=1436)
+ predicate:((i_manufact_id = 269) and i_item_sk is not null)
+ TableScan [TS_20] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_manufact_id"]
+ <-Reducer 8 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_112]
+ Group By Operator [GBY_111] (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_110]
Group By Operator [GBY_109] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_106] (rows=8116 width=1119)
+ Select Operator [SEL_108] (rows=8116 width=1119)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_104]
- <-Reducer 9 [ONE_TO_ONE_EDGE]
+ Please refer to the previous Select Operator [SEL_106]
+ <-Reducer 6 [ONE_TO_ONE_EDGE]
FORWARD [RS_31]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_101] (rows=174233858 width=135)
- Conds:RS_133._col0=RS_122._col0(Inner),Output:["_col1","_col2"]
- <-Map 12 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_122]
+ Merge Join Operator [MERGEJOIN_103] (rows=174233858 width=135)
+ Conds:RS_126._col0=RS_115._col0(Inner),Output:["_col1","_col2"]
+ <-Map 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_115]
PartitionCols:_col0
- Select Operator [SEL_121] (rows=231000 width=1436)
- Output:["_col0"]
- Filter Operator [FIL_120] (rows=231000 width=1436)
- predicate:((i_manufact_id = 269) and i_item_sk is not null)
- TableScan [TS_20] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_manufact_id"]
- <-Reducer 8 [ONE_TO_ONE_EDGE] vectorized
- FORWARD [RS_133]
+ Please refer to the previous Select Operator [SEL_114]
+ <-Reducer 5 [ONE_TO_ONE_EDGE] vectorized
+ FORWARD [RS_126]
PartitionCols:_col0
- Select Operator [SEL_132] (rows=158394413 width=135)
+ Select Operator [SEL_125] (rows=158394413 width=135)
Output:["_col0","_col1"]
- Group By Operator [GBY_131] (rows=158394413 width=135)
+ Group By Operator [GBY_124] (rows=158394413 width=135)
Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0
- <-Reducer 7 [SIMPLE_EDGE]
+ <-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_17]
PartitionCols:_col0
Group By Operator [GBY_16] (rows=316788826 width=135)
Output:["_col0","_col1","_col2"],aggregations:["sum(_col2)","count(_col2)"],keys:_col1
- Merge Join Operator [MERGEJOIN_100] (rows=316788826 width=135)
- Conds:RS_130._col0=RS_107._col0(Inner),Output:["_col1","_col2"]
- <-Map 5 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_107]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_104]
- <-Map 11 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_130]
- PartitionCols:_col0
- Select Operator [SEL_129] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_128] (rows=287989836 width=135)
- predicate:((cs_item_sk BETWEEN DynamicValue(RS_24_item_i_item_sk_min) AND DynamicValue(RS_24_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_24_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_13_date_dim_d_date_sk_min) AND DynamicValue(RS_13_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_13_date_dim_d_date_sk_bloom_filter))) 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_item_sk","cs_ext_discount_amt"]
- <-Reducer 10 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_119]
- Group By Operator [GBY_118] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 5 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_112]
- Group By Operator [GBY_110] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_108] (rows=8116 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_104]
- <-Reducer 13 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_127]
- Group By Operator [GBY_126] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 12 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_125]
- Group By Operator [GBY_124] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_123] (rows=231000 width=1436)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_121]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_101]