Karthik created HIVE-20187:
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Summary: Incorrect query results in hive when
hive.convert.join.bucket.mapjoin.tez is set to true
Key: HIVE-20187
URL: https://issues.apache.org/jira/browse/HIVE-20187
Project: Hive
Issue Type: Bug
Environment: Hive 3.0 and Tez 0.91
Reporter: Karthik
Attachments: extended_explain.txt
When hive.convert.join.bucket.mapjoin.tez=true and bucketed column is in select
clause but not in where clause, hive is performing a bucket map join and
returning incorrect results. When the bucketed column is removed from select
clause or hive.convert.join.bucket.mapjoin.tez=false, returned query results
are correct.
create table my_fact(AMT decimal(20,3),bucket_col string ,join_col string )
PARTITIONED BY (FISCAL_YEAR string ,ACCOUNTING_PERIOD string )
CLUSTERED BY (bucket_col) INTO 10
BUCKETS
stored as ORC
;
create table my_dim(join_col string,filter_col string) stored as orc;
After populating and analyzing above tables, explain plan looks as below when
hive.convert.join.bucket.mapjoin.tez=TRUE:
explain select T4.join_col as account1,my_fact.accounting_period
FROM my_fact JOIN my_dim T4 ON my_fact.join_col = T4.join_col
WHERE my_fact.fiscal_year = '2015'
AND T4.filter_col IN ( 'VAL1', 'VAL2' )
and my_fact.accounting_period in (10);
Vertex dependency in root stage
Map 1 <- Map 2 (CUSTOM_EDGE)
Stage-0
Fetch Operator
limit:-1
Stage-1
Map 1 vectorized, llap
File Output Operator [FS_24]
Select Operator [SEL_23] (rows=15282589 width=291)
Output:["_col0","_col1","_col2"]
Map Join Operator [MAPJOIN_22] (rows=15282589 width=291)
*BucketMapJoin*:true,Conds:SEL_21._col1=RS_19._col0(Inner),Output:["_col0","_col3","_col4"]
<-Map 2 [CUSTOM_EDGE] vectorized, llap
MULTICAST [RS_19]
PartitionCols:_col0
Select Operator [SEL_18] (rows=818 width=186)
Output:["_col0"]
Filter Operator [FIL_17] (rows=818 width=186)
predicate:((filter_col) IN ('VAL1', 'VAL2') and join_col is not null)
TableScan [TS_3] (rows=1635 width=186)
default@my_dim,t4,Tbl:COMPLETE,Col:NONE,Output:["join_col","filter_col"]
<-Select Operator [SEL_21] (rows=13893263 width=291)
Output:["_col0","_col1","_col3"]
Filter Operator [FIL_20] (rows=13893263 width=291)
predicate:join_col is not null
TableScan [TS_0] (rows=13893263 width=291)
default@my_fact,my_fact,Tbl:COMPLETE,Col:NONE,Output:["bucket_col","join_col"]
[^extended_explain.txt] has more detailed plan.
When hive.convert.join.bucket.mapjoin.tez=false, plan no longer has
bucketjoin and query results are correct.
Vertex dependency in root stage
Map 1 <- Map 2 (BROADCAST_EDGE)
Stage-0
Fetch Operator
limit:-1
Stage-1
Map 1 vectorized, llap
File Output Operator [FS_24]
Select Operator [SEL_23] (rows=15282589 width=291)
Output:["_col0","_col1","_col2"]
Map Join Operator [MAPJOIN_22] (rows=15282589 width=291)
Conds:SEL_21._col1=RS_19._col0(Inner),Output:["_col0","_col3","_col4"]
<-Map 2 [BROADCAST_EDGE] vectorized, llap
BROADCAST [RS_19]
PartitionCols:_col0
Select Operator [SEL_18] (rows=818 width=186)
Output:["_col0"]
Filter Operator [FIL_17] (rows=818 width=186)
predicate:((filter_col) IN ('VAL1', 'VAL2') and join_col is not null)
TableScan [TS_3] (rows=1635 width=186)
default@my_dim,t4,Tbl:COMPLETE,Col:NONE,Output:["join_col","filter_col"]
<-Select Operator [SEL_21] (rows=13893263 width=291)
Output:["_col0","_col1","_col3"]
Filter Operator [FIL_20] (rows=13893263 width=291)
predicate:join_col is not null
TableScan [TS_0] (rows=13893263 width=291)
default@my_fact,my_fact,Tbl:COMPLETE,Col:NONE,Output:
Per suggestion in bug# TEZ-3971, creating this case under Hive project.
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