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https://issues.apache.org/jira/browse/SPARK-13587?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15234264#comment-15234264
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John Berryman commented on SPARK-13587:
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At my work we're using devpi and a homecooked proxy server to "fake" pip and
serve up cached wheels. I'm not sure such a solution should be built into
Spark, but it is at least a POC for being able to make the virtualenv idea fast
(after the first build at least). Really it wouldn't be hard to set this up
outside of Spark, you would just need to make {{pip}} actually point to
{{my_own_specially_wheel_caching_pip}}.
> Support virtualenv in PySpark
> -----------------------------
>
> Key: SPARK-13587
> URL: https://issues.apache.org/jira/browse/SPARK-13587
> Project: Spark
> Issue Type: New Feature
> Components: PySpark
> Reporter: Jeff Zhang
>
> Currently, it's not easy for user to add third party python packages in
> pyspark.
> * One way is to using --py-files (suitable for simple dependency, but not
> suitable for complicated dependency, especially with transitive dependency)
> * Another way is install packages manually on each node (time wasting, and
> not easy to switch to different environment)
> Python has now 2 different virtualenv implementation. One is native
> virtualenv another is through conda. This jira is trying to migrate these 2
> tools to distributed environment
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