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Posted to commits@hive.apache.org by ha...@apache.org on 2018/06/25 16:04:21 UTC
[18/51] [partial] hive git commit: HIVE-12342 : Set default value of
hive.optimize.index.filter to true (Igor Kryvenko via Ashutosh Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/f2c4f319/ql/src/test/results/clientpositive/perf/tez/query12.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query12.q.out b/ql/src/test/results/clientpositive/perf/tez/query12.q.out
index 6e304aa..4771dcf 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query12.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query12.q.out
@@ -65,72 +65,97 @@ POSTHOOK: type: QUERY
Plan optimized by CBO.
Vertex dependency in root stage
+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 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 3 <- Map 9 (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)
Stage-0
Fetch Operator
limit:-1
Stage-1
Reducer 6 vectorized
- File Output Operator [FS_56]
- Limit [LIM_55] (rows=100 width=135)
+ File Output Operator [FS_86]
+ Limit [LIM_85] (rows=100 width=135)
Number of rows:100
- Select Operator [SEL_54] (rows=87121617 width=135)
+ Select Operator [SEL_84] (rows=87121617 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
<-Reducer 5 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_53]
- Select Operator [SEL_52] (rows=87121617 width=135)
+ SHUFFLE [RS_83]
+ Select Operator [SEL_82] (rows=87121617 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- PTF Operator [PTF_51] (rows=87121617 width=135)
+ PTF Operator [PTF_81] (rows=87121617 width=135)
Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col1 ASC NULLS FIRST","partition by:":"_col1"}]
- Select Operator [SEL_50] (rows=87121617 width=135)
+ Select Operator [SEL_80] (rows=87121617 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
<-Reducer 4 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_49]
+ SHUFFLE [RS_79]
PartitionCols:_col1
- Group By Operator [GBY_48] (rows=87121617 width=135)
+ Group By Operator [GBY_78] (rows=87121617 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_17]
PartitionCols:_col0, _col1, _col2, _col3, _col4
Group By Operator [GBY_16] (rows=174243235 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col2)"],keys:_col10, _col9, _col6, _col7, _col8
- Merge Join Operator [MERGEJOIN_38] (rows=174243235 width=135)
- Conds:RS_12._col1=RS_47._col0(Inner),Output:["_col2","_col6","_col7","_col8","_col9","_col10"]
- <-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_47]
+ Merge Join Operator [MERGEJOIN_58] (rows=174243235 width=135)
+ Conds:RS_12._col1=RS_69._col0(Inner),Output:["_col2","_col6","_col7","_col8","_col9","_col10"]
+ <-Map 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_69]
PartitionCols:_col0
- Select Operator [SEL_46] (rows=231000 width=1436)
+ Select Operator [SEL_68] (rows=231000 width=1436)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Filter Operator [FIL_45] (rows=231000 width=1436)
+ Filter Operator [FIL_67] (rows=231000 width=1436)
predicate:((i_category) IN ('Jewelry', 'Sports', 'Books') and i_item_sk is not null)
TableScan [TS_6] (rows=462000 width=1436)
default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc","i_current_price","i_class","i_category"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_12]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_37] (rows=158402938 width=135)
- Conds:RS_41._col0=RS_44._col0(Inner),Output:["_col1","_col2"]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_41]
- PartitionCols:_col0
- Select Operator [SEL_40] (rows=144002668 width=135)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_39] (rows=144002668 width=135)
- predicate:(ws_item_sk is not null and ws_sold_date_sk is not null)
- TableScan [TS_0] (rows=144002668 width=135)
- default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_ext_sales_price"]
+ Merge Join Operator [MERGEJOIN_57] (rows=158402938 width=135)
+ Conds:RS_77._col0=RS_61._col0(Inner),Output:["_col1","_col2"]
<-Map 7 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_44]
+ PARTITION_ONLY_SHUFFLE [RS_61]
PartitionCols:_col0
- Select Operator [SEL_43] (rows=8116 width=1119)
+ Select Operator [SEL_60] (rows=8116 width=1119)
Output:["_col0"]
- Filter Operator [FIL_42] (rows=8116 width=1119)
+ Filter Operator [FIL_59] (rows=8116 width=1119)
predicate:(CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-01-12 00:00:00.0' AND TIMESTAMP'2001-02-11 00:00:00.0' 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_77]
+ PartitionCols:_col0
+ Select Operator [SEL_76] (rows=144002668 width=135)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_75] (rows=144002668 width=135)
+ predicate:((ws_item_sk BETWEEN DynamicValue(RS_13_item_i_item_sk_min) AND DynamicValue(RS_13_item_i_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_13_item_i_item_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_10_date_dim_d_date_sk_min) AND DynamicValue(RS_10_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_10_date_dim_d_date_sk_bloom_filter))) and ws_item_sk is not null and ws_sold_date_sk is not null)
+ TableScan [TS_0] (rows=144002668 width=135)
+ default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_ext_sales_price"]
+ <-Reducer 10 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_74]
+ Group By Operator [GBY_73] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 9 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_72]
+ Group By Operator [GBY_71] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_70] (rows=231000 width=1436)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_68]
+ <-Reducer 8 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_66]
+ Group By Operator [GBY_65] (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_64]
+ Group By Operator [GBY_63] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_62] (rows=8116 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_60]
http://git-wip-us.apache.org/repos/asf/hive/blob/f2c4f319/ql/src/test/results/clientpositive/perf/tez/query13.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query13.q.out b/ql/src/test/results/clientpositive/perf/tez/query13.q.out
index d0ed3d8..5cd4e27 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query13.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query13.q.out
@@ -101,22 +101,28 @@ POSTHOOK: type: QUERY
Plan optimized by CBO.
Vertex dependency in root stage
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
-Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Map 10 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Map 11 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
-Reducer 6 <- Map 12 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
+Map 9 <- Reducer 11 (BROADCAST_EDGE), Reducer 13 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 8 (BROADCAST_EDGE)
+Reducer 11 <- Map 10 (CUSTOM_SIMPLE_EDGE)
+Reducer 13 <- Map 12 (CUSTOM_SIMPLE_EDGE)
+Reducer 15 <- Map 14 (CUSTOM_SIMPLE_EDGE)
+Reducer 17 <- Map 16 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
+Reducer 3 <- Map 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 12 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Map 14 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Map 16 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
Reducer 7 <- Reducer 6 (CUSTOM_SIMPLE_EDGE)
+Reducer 8 <- Map 1 (CUSTOM_SIMPLE_EDGE)
Stage-0
Fetch Operator
limit:-1
Stage-1
Reducer 7 vectorized
- File Output Operator [FS_92]
- Select Operator [SEL_91] (rows=1 width=256)
+ File Output Operator [FS_167]
+ Select Operator [SEL_166] (rows=1 width=256)
Output:["_col0","_col1","_col2","_col3"]
- Group By Operator [GBY_90] (rows=1 width=256)
+ Group By Operator [GBY_165] (rows=1 width=256)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","sum(VALUE._col2)","count(VALUE._col3)","sum(VALUE._col4)","count(VALUE._col5)"]
<-Reducer 6 [CUSTOM_SIMPLE_EDGE]
PARTITION_ONLY_SHUFFLE [RS_37]
@@ -126,14 +132,14 @@ Stage-0
Output:["_col6","_col8","_col9"]
Filter Operator [FIL_34] (rows=715776 width=88)
predicate:(((_col19 = 'D') and (_col20 = 'Primary') and _col7 BETWEEN 50 AND 100 and (_col14 = 1)) or ((_col19 = 'M') and (_col20 = '4 yr Degree') and _col7 BETWEEN 100 AND 150 and (_col14 = 3)) or ((_col19 = 'U') and (_col20 = 'Advanced Degree') and _col7 BETWEEN 150 AND 200 and (_col14 = 1)))
- Merge Join Operator [MERGEJOIN_71] (rows=17178642 width=88)
- Conds:RS_31._col2=RS_89._col0(Inner),Output:["_col6","_col7","_col8","_col9","_col14","_col19","_col20"]
- <-Map 12 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_89]
+ Merge Join Operator [MERGEJOIN_121] (rows=17178642 width=88)
+ Conds:RS_31._col2=RS_156._col0(Inner),Output:["_col6","_col7","_col8","_col9","_col14","_col19","_col20"]
+ <-Map 16 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_156]
PartitionCols:_col0
- Select Operator [SEL_88] (rows=1861800 width=385)
+ Select Operator [SEL_155] (rows=1861800 width=385)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_87] (rows=1861800 width=385)
+ Filter Operator [FIL_154] (rows=1861800 width=385)
predicate:(((cd_education_status = '4 yr Degree') or (cd_education_status = 'Primary') or (cd_education_status = 'Advanced Degree')) and ((cd_marital_status = 'M') or (cd_marital_status = 'D') or (cd_marital_status = 'U')) and cd_demo_sk is not null)
TableScan [TS_15] (rows=1861800 width=385)
default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_marital_status","cd_education_status"]
@@ -142,66 +148,121 @@ Stage-0
PartitionCols:_col2
Filter Operator [FIL_30] (rows=15616947 width=88)
predicate:(((_col16) IN ('KY', 'GA', 'NM') and _col10 BETWEEN 100 AND 200) or ((_col16) IN ('MT', 'OR', 'IN') and _col10 BETWEEN 150 AND 300) or ((_col16) IN ('WI', 'MO', 'WV') and _col10 BETWEEN 50 AND 250))
- Merge Join Operator [MERGEJOIN_70] (rows=93701693 width=88)
- Conds:RS_27._col4=RS_86._col0(Inner),Output:["_col2","_col6","_col7","_col8","_col9","_col10","_col14","_col16"]
- <-Map 11 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_86]
+ Merge Join Operator [MERGEJOIN_120] (rows=93701693 width=88)
+ Conds:RS_27._col4=RS_148._col0(Inner),Output:["_col2","_col6","_col7","_col8","_col9","_col10","_col14","_col16"]
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_148]
PartitionCols:_col0
- Select Operator [SEL_85] (rows=10000000 width=1014)
+ Select Operator [SEL_147] (rows=10000000 width=1014)
Output:["_col0","_col1"]
- Filter Operator [FIL_84] (rows=10000000 width=1014)
+ Filter Operator [FIL_146] (rows=10000000 width=1014)
predicate:((ca_country = 'United States') and (ca_state) IN ('KY', 'GA', 'NM', 'MT', 'OR', 'IN', 'WI', 'MO', 'WV') and ca_address_sk is not null)
TableScan [TS_12] (rows=40000000 width=1014)
default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state","ca_country"]
<-Reducer 4 [SIMPLE_EDGE]
SHUFFLE [RS_27]
PartitionCols:_col4
- Merge Join Operator [MERGEJOIN_69] (rows=85183356 width=88)
- Conds:RS_24._col3=RS_83._col0(Inner),Output:["_col2","_col4","_col6","_col7","_col8","_col9","_col10","_col14"]
- <-Map 10 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_83]
+ Merge Join Operator [MERGEJOIN_119] (rows=85183356 width=88)
+ Conds:RS_24._col3=RS_140._col0(Inner),Output:["_col2","_col4","_col6","_col7","_col8","_col9","_col10","_col14"]
+ <-Map 12 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_140]
PartitionCols:_col0
- Select Operator [SEL_82] (rows=7200 width=107)
+ Select Operator [SEL_139] (rows=7200 width=107)
Output:["_col0","_col1"]
- Filter Operator [FIL_81] (rows=7200 width=107)
+ Filter Operator [FIL_138] (rows=7200 width=107)
predicate:(((hd_dep_count = 3) or (hd_dep_count = 1)) and hd_demo_sk is not null)
TableScan [TS_9] (rows=7200 width=107)
default@household_demographics,household_demographics,Tbl:COMPLETE,Col:NONE,Output:["hd_demo_sk","hd_dep_count"]
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_24]
PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_68] (rows=77439413 width=88)
- Conds:RS_21._col1=RS_80._col0(Inner),Output:["_col2","_col3","_col4","_col6","_col7","_col8","_col9","_col10"]
- <-Map 9 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_80]
+ Merge Join Operator [MERGEJOIN_118] (rows=77439413 width=88)
+ Conds:RS_21._col1=RS_132._col0(Inner),Output:["_col2","_col3","_col4","_col6","_col7","_col8","_col9","_col10"]
+ <-Map 10 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_132]
PartitionCols:_col0
- Select Operator [SEL_79] (rows=36524 width=1119)
+ Select Operator [SEL_131] (rows=36524 width=1119)
Output:["_col0"]
- Filter Operator [FIL_78] (rows=36524 width=1119)
+ Filter Operator [FIL_130] (rows=36524 width=1119)
predicate:((d_year = 2001) and d_date_sk is not null)
TableScan [TS_6] (rows=73049 width=1119)
default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_21]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_67] (rows=70399465 width=88)
- Conds:RS_74._col0=RS_77._col4(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col9","_col10"]
+ Merge Join Operator [MERGEJOIN_117] (rows=70399465 width=88)
+ Conds:RS_124._col0=RS_164._col4(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col9","_col10"]
<-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_74]
+ PARTITION_ONLY_SHUFFLE [RS_124]
PartitionCols:_col0
- Select Operator [SEL_73] (rows=1704 width=1910)
+ Select Operator [SEL_123] (rows=1704 width=1910)
Output:["_col0"]
- Filter Operator [FIL_72] (rows=1704 width=1910)
+ Filter Operator [FIL_122] (rows=1704 width=1910)
predicate:s_store_sk is not null
TableScan [TS_0] (rows=1704 width=1910)
default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk"]
- <-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_77]
+ <-Map 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_164]
PartitionCols:_col4
- Select Operator [SEL_76] (rows=63999513 width=88)
+ Select Operator [SEL_163] (rows=63999513 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
- Filter Operator [FIL_75] (rows=63999513 width=88)
- predicate:((ss_net_profit BETWEEN 100 AND 200 or ss_net_profit BETWEEN 150 AND 300 or ss_net_profit BETWEEN 50 AND 250) and (ss_sales_price BETWEEN 100 AND 150 or ss_sales_price BETWEEN 50 AND 100 or ss_sales_price BETWEEN 150 AND 200) and ss_addr_sk is not null and ss_cdemo_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null)
+ Filter Operator [FIL_162] (rows=63999513 width=88)
+ predicate:((ss_addr_sk BETWEEN DynamicValue(RS_28_customer_address_ca_address_sk_min) AND DynamicValue(RS_28_customer_address_ca_address_sk_max) and in_bloom_filter(ss_addr_sk, DynamicValue(RS_28_customer_address_ca_address_sk_bloom_filter))) and (ss_cdemo_sk BETWEEN DynamicValue(RS_32_customer_demographics_cd_demo_sk_min) AND DynamicValue(RS_32_customer_demographics_cd_demo_sk_max) and in_bloom_filter(ss_cdemo_sk, DynamicValue(RS_32_customer_demographics_cd_demo_sk_bloom_filter))) and (ss_hdemo_sk BETWEEN DynamicValue(RS_25_household_demographics_hd_demo_sk_min) AND DynamicValue(RS_25_household_demographics_hd_demo_sk_max) and in_bloom_filter(ss_hdemo_sk, DynamicValue(RS_25_household_demographics_hd_demo_sk_bloom_filter))) and (ss_net_profit BETWEEN 100 AND 200 or ss_net_profit BETWEEN 150 AND 300 or ss_net_profit BETWEEN 50 AND 250) and (ss_sales_price BETWEEN 100 AND 150 or ss_sales_price BETWEEN 50 AND 100 or ss_sales_price BETWEEN 1
50 AND 200) and (ss_sold_date_sk BETWEEN DynamicValue(RS_22_date_dim_d_date_sk_min) AND DynamicValue(RS_22_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_22_date_dim_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_18_store_s_store_sk_min) AND DynamicValue(RS_18_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_18_store_s_store_sk_bloom_filter))) and ss_addr_sk is not null and ss_cdemo_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null)
TableScan [TS_3] (rows=575995635 width=88)
default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_cdemo_sk","ss_hdemo_sk","ss_addr_sk","ss_store_sk","ss_quantity","ss_sales_price","ss_ext_sales_price","ss_ext_wholesale_cost","ss_net_profit"]
+ <-Reducer 11 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_137]
+ Group By Operator [GBY_136] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 10 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_135]
+ Group By Operator [GBY_134] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_133] (rows=36524 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_131]
+ <-Reducer 13 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_145]
+ Group By Operator [GBY_144] (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_143]
+ Group By Operator [GBY_142] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_141] (rows=7200 width=107)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_139]
+ <-Reducer 15 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_153]
+ Group By Operator [GBY_152] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=10000000)"]
+ <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_151]
+ Group By Operator [GBY_150] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=10000000)"]
+ Select Operator [SEL_149] (rows=10000000 width=1014)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_147]
+ <-Reducer 17 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_161]
+ Group By Operator [GBY_160] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1861800)"]
+ <-Map 16 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_159]
+ Group By Operator [GBY_158] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1861800)"]
+ Select Operator [SEL_157] (rows=1861800 width=385)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_155]
+ <-Reducer 8 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_129]
+ Group By Operator [GBY_128] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 1 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_127]
+ Group By Operator [GBY_126] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_125] (rows=1704 width=1910)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_123]