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https://issues.apache.org/jira/browse/SPARK-2494?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matei Zaharia updated SPARK-2494:
---------------------------------

    Target Version/s: 1.1.0, 1.0.2, 0.9.3  (was: 1.1.0, 1.0.2)

> Hash of None is different cross machines in CPython
> ---------------------------------------------------
>
>                 Key: SPARK-2494
>                 URL: https://issues.apache.org/jira/browse/SPARK-2494
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 0.9.0, 0.9.1, 0.9.2, 1.0.0, 1.0.1
>         Environment: CPython 2.x 
>            Reporter: Davies Liu
>              Labels: pyspark, shuffle
>             Fix For: 1.1.0, 1.0.2, 0.9.3
>
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> The hash of None, also tuple with None in it, is different cross machines, so 
> the result will be wrong if None appear in the key of partitionBy().
> It should use an portable hash function as the default partition function, 
> which generate same hash for all the builtin immutable types, especially 
> tuple.



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