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From "Takeshi Yamamuro (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (HIVEMALL-76) [SPARK] each_top_k behavior on Spark is wrong
Date Thu, 16 Mar 2017 15:25:42 GMT

     [ https://issues.apache.org/jira/browse/HIVEMALL-76?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Takeshi Yamamuro resolved HIVEMALL-76.
--------------------------------------
    Resolution: Fixed

> [SPARK] each_top_k behavior on Spark is wrong
> ---------------------------------------------
>
>                 Key: HIVEMALL-76
>                 URL: https://issues.apache.org/jira/browse/HIVEMALL-76
>             Project: Hivemall
>          Issue Type: Bug
>            Reporter: Makoto Yui
>            Assignee: Takeshi Yamamuro
>
> I found that each_top_k behavior on Spark is little bit difference one from Hive for
the ranking scheme in
> https://github.com/apache/incubator-hivemall/blob/master/core/src/main/java/hivemall/tools/EachTopKUDTF.java#L198
> Hive provides a dense_rank but Spark does not.
> https://github.com/apache/incubator-hivemall/blob/72d6a629f972abc2f38c63d20fe5c978618f8bf8/spark/spark-2.0/src/main/scala/org/apache/spark/sql/catalyst/expressions/EachTopK.scala#L101
> Better to return a same rank where compared score is same.



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