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