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Posted to issues@spark.apache.org by "Matthew Farrellee (JIRA)" <ji...@apache.org> on 2014/09/07 17:26:28 UTC
[jira] [Commented] (SPARK-927) PySpark sample() doesn't work if
numpy is installed on master but not on workers
[ https://issues.apache.org/jira/browse/SPARK-927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14124924#comment-14124924 ]
Matthew Farrellee commented on SPARK-927:
-----------------------------------------
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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