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Posted to issues@spark.apache.org by "Tejas Patil (JIRA)" <ji...@apache.org> on 2016/09/10 19:34:20 UTC

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

Tejas Patil created SPARK-17495:
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             Summary: Hive hash implementation
                 Key: SPARK-17495
                 URL: https://issues.apache.org/jira/browse/SPARK-17495
             Project: Spark
          Issue Type: Bug
          Components: SQL
            Reporter: 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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