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https://issues.apache.org/jira/browse/SPARK-927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14124924#comment-14124924
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Matthew Farrellee commented on SPARK-927:
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it looks like the issue is rddsampler checks for numpy in its constructor
instead of when initializing the random number generator
> PySpark sample() doesn't work if numpy is installed on master but not on
> workers
> --------------------------------------------------------------------------------
>
> Key: SPARK-927
> URL: https://issues.apache.org/jira/browse/SPARK-927
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 0.8.0
> Reporter: Josh Rosen
> Assignee: Matthew Farrellee
> Priority: Minor
>
> PySpark's sample() method crashes with ImportErrors on the workers if numpy
> is installed on the driver machine but not on the workers. I'm not sure
> what's the best way to fix this. A general mechanism for automatically
> shipping libraries from the master to the workers would address this, but
> that could be complicated to implement.
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