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From "Matthew Farrellee (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-927) PySpark sample() doesn't work if numpy is installed on master but not on workers
Date Mon, 05 Jan 2015 23:06:34 GMT

     [ https://issues.apache.org/jira/browse/SPARK-927?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Matthew Farrellee resolved SPARK-927.
-------------------------------------
       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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