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From "Xuefu Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-15272) "LEFT OUTER JOIN" Is not populating different records with Hive On Spark
Date Wed, 23 Nov 2016 19:26:58 GMT

    [ https://issues.apache.org/jira/browse/HIVE-15272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15691127#comment-15691127
] 

Xuefu Zhang commented on HIVE-15272:
------------------------------------

Just curious: what's the difference? Is that just a matter of ordering? Hive doesn't guarantee
ordering w/o order by clause. MR may do that, but that's just a matter of implementation.

If there is a data issue, a complete repro case would be more helpful.

> "LEFT OUTER JOIN" Is not populating different records with Hive On Spark
> ------------------------------------------------------------------------
>
>                 Key: HIVE-15272
>                 URL: https://issues.apache.org/jira/browse/HIVE-15272
>             Project: Hive
>          Issue Type: Bug
>          Components: Hive, Spark
>    Affects Versions: 1.1.0
>         Environment: Hive 1.1.0, CentOS, Cloudera 5.7.4
>            Reporter: Vikash Pareek
>
> Following query is populating different result every time I ran with Hive on Spark:
> {code}
> SELECT COUNT(*)
> FROM
>   (SELECT DISTINCT mt1.name,
>                    mt1.id
>    FROM
>      (SELECT mt1.*,
>              mt2.region,
>              mt2.,
>              regexp_replace(mt2.tr_dat,"\\.","") AS TRANSACTION_DATE
>       FROM my_database.my_table1 mt1
>       LEFT OUTER JOIN my_database.my_table2 mt2 ON (mt1.id=mt2.id
>                                                     AND mt1.name = mt2.name))t6)A;
> {code}
> But the same query populating same result with Hive on MapReduce every time.



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