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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/11/07 07:44:59 UTC

[jira] [Assigned] (SPARK-17495) Hive hash implementation

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

Apache Spark reassigned SPARK-17495:
------------------------------------

    Assignee: Tejas Patil  (was: Apache Spark)

> 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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