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From "Navis (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-3411) Filter predicates on outer join overlapped on single alias is not handled properly
Date Fri, 14 Sep 2012 08:19:07 GMT

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

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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