[
https://issues.apache.org/jira/browse/SPARK-2494?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14065671#comment-14065671
]
Matthew Farrellee commented on SPARK-2494:
------------------------------------------
thank you. i've confirmed this:
{code}
>>> rdd.groupByKey(10).collect()
[((None, 1), <pyspark.resultiterable.ResultIterable object at 0x19d4410>),
((None, 1), <pyspark.resultiterable.ResultIterable object at 0x19d4310>),
((None, 1), <pyspark.resultiterable.ResultIterable object at 0x19d7290>)]
{code}
i have 3 workers in my cluster
> 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: 1.0.0, 1.0.1
> Environment: CPython 2.x
> Reporter: Davies Liu
> Priority: Blocker
> Labels: pyspark, shuffle
> Fix For: 1.0.0, 1.0.1
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.2#6252)
