Youjun Yuan created HIVE-26111:
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             Summary: FULL JOIN returns incorrect result with Tez engine
                 Key: HIVE-26111
                 URL: https://issues.apache.org/jira/browse/HIVE-26111
             Project: Hive
          Issue Type: Bug
         Environment: aws EMR (hive 3.1.2 + Tez 0.10.1)
            Reporter: Youjun Yuan


we hit a query which FULL JOINs two tables, hive produces incorrect results, 
for a single value of join key, it produces two records, each record has a 
valid value for one table and NULL for the other table.

The query is:
{code:java}
SELECT d.id, u.id
FROM (
       SELECT id
       FROM   airflow.tableA rud
       WHERE  rud.dt = '2022-04-02-1row'
) d
FULL JOIN (
       SELECT id
       FROM   default.tableB
       WHERE  dt = '2022-04-01' and device_token='blabla'
 ) u
ON u.id = d.id
; {code}
And produces two records for id=350570497
{code:java}
350570497    NULL
NULL    350570497
Time taken: 62.692 seconds, Fetched: 2 row(s) {code}
I am sure tableB has only one row where device_token='blabla'And we tried: 1, 
SET mapreduce.job.reduces=1; then it produces right result;2, SET 
hive.execution.engine=mr; then it produces right result;3, JOIN (instead of 
FULL JOIN) worked as expected 4, in sub query u, change filter 
device_token='blabla' to id=350570497, it worked okBelow is the explain output 
of the query:
{code:java}
Plan optimized by CBO.Vertex dependency in root stage
Reducer 3 <- Map 1 (CUSTOM_SIMPLE_EDGE), Map 2 (CUSTOM_SIMPLE_EDGE)Stage-0
  Fetch Operator
    limit:-1
    Stage-1
      Reducer 3
      File Output Operator [FS_10]
        Map Join Operator [MAPJOIN_13] (rows=2 width=8)
          
Conds:RS_6.KEY.reducesinkkey0=RS_7.KEY.reducesinkkey0(Outer),DynamicPartitionHashJoin:true,Output:["_col0","_col1"]
        <-Map 1 [CUSTOM_SIMPLE_EDGE]
          PARTITION_ONLY_SHUFFLE [RS_6]
            PartitionCols:_col0
            Select Operator [SEL_2] (rows=1 width=4)
              Output:["_col0"]
              TableScan [TS_0] (rows=1 width=4)
                
airflow@rds_users_delta,rud,Tbl:COMPLETE,Col:COMPLETE,Output:["id"]
        <-Map 2 [CUSTOM_SIMPLE_EDGE]
          PARTITION_ONLY_SHUFFLE [RS_7]
            PartitionCols:_col0
            Select Operator [SEL_5] (rows=1 width=4)
              Output:["_col0"]
              Filter Operator [FIL_12] (rows=1 width=110)
                predicate:(device_token = 'blabla')
                TableScan [TS_3] (rows=215192362 width=109)
                  
default@users,users,Tbl:COMPLETE,Col:COMPLETE,Output:["id","device_token"]  
{code}
I can't generate a small enough result set to reproduce the issue, I have 
minimized the tableA to only 1 row, tableB has ~200m rows, but if I further 
reduce the size of tableB, then the issue can't be reproduced. any suggestion 
would be highly appreciated, regarding the root cause of the issue, how to work 
around it, or how to reproduce it with small enough dataset. 



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