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https://issues.apache.org/jira/browse/HIVE-3411?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Navis updated HIVE-3411:
------------------------

    Attachment: HIVE-3411.2.patch.txt
    
> Filter predicates on outer join overlapped on single alias is not handled 
> properly
> ----------------------------------------------------------------------------------
>
>                 Key: HIVE-3411
>                 URL: https://issues.apache.org/jira/browse/HIVE-3411
>             Project: Hive
>          Issue Type: Bug
>          Components: Query Processor
>    Affects Versions: 0.10.0
>         Environment: ubuntu 10.10
>            Reporter: Navis
>            Assignee: Navis
>            Priority: Minor
>         Attachments: HIVE-3411.1.patch.txt, HIVE-3411.2.patch.txt
>
>
> Currently, join predicates on outer join are evaluated in join operator (or 
> HashSink for MapJoin) and the result value is tagged to end of each values(as 
> a boolean), which is used for joining values. But when predicates are 
> overlapped on single alias, all the predicates are evaluated with AND 
> conjunction, which makes invalid result. 
> For example with table a with values,
> {noformat}
> 100 40
> 100 50
> 100 60
> {noformat}
> Query below has overlapped predicates on alias b, which is making all the 
> values on b are tagged with true(filtered)
> {noformat}
> select * from a right outer join a b on (a.key=b.key AND a.value=50 AND 
> b.value=50) left outer join a c on (b.key=c.key AND b.value=60 AND 
> c.value=60);
> NULL  NULL    100     40      NULL    NULL
> NULL  NULL    100     50      NULL    NULL
> NULL  NULL    100     60      NULL    NULL
> -- Join predicate
> Join Operator
>   condition map:
>        Right Outer Join0 to 1
>        Left Outer Join1 to 2
>   condition expressions:
>     0 {VALUE._col0} {VALUE._col1}
>     1 {VALUE._col0} {VALUE._col1}
>     2 {VALUE._col0} {VALUE._col1}
>   filter predicates:
>     0 
>     1 {(VALUE._col1 = 50)} {(VALUE._col1 = 60)}
>     2 
> {noformat}
> but this should be 
> {noformat}
> NULL  NULL    100     40      NULL    NULL
> 100   50      100     50      NULL    NULL
> NULL  NULL    100     60      100     60
> {noformat}

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