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From "Xiao Li (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-17495) Hive hash implementation
Date Mon, 13 Mar 2017 03:11:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-17495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiao Li resolved SPARK-17495.
-----------------------------
    Resolution: Fixed

> Hive hash implementation
> ------------------------
>
>                 Key: SPARK-17495
>                 URL: https://issues.apache.org/jira/browse/SPARK-17495
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Tejas Patil
>            Assignee: Tejas Patil
>            Priority: Minor
>             Fix For: 2.2.0
>
>
> Spark internally uses Murmur3Hash for partitioning. This is different from the one used
by Hive. For queries which use bucketing this leads to different results if one tries the
same query on both engines. For us, we want users to have backward compatibility to that one
can switch parts of applications across the engines without observing regressions.



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