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From "Tejas Patil (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-17495) Hive hash implementation
Date Tue, 17 Jan 2017 05:55:26 GMT

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

Tejas Patil updated SPARK-17495:
--------------------------------
    Issue Type: Sub-task  (was: Improvement)
        Parent: SPARK-19256

> 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
>
> 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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