[ https://issues.apache.org/jira/browse/SPARK-927?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matthew Farrellee resolved SPARK-927.
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Resolution: Fixed
Fix Version/s: 1.2.0
> 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, 0.9.1, 1.0.2, 1.1.2
> Reporter: Josh Rosen
> Assignee: Matthew Farrellee
> Priority: Minor
> Fix For: 1.2.0
>
>
> 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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