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https://issues.apache.org/jira/browse/SPARK-13587?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15218109#comment-15218109
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Mike Sukmanowsky commented on SPARK-13587:
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The NFS is a good idea for a current workaround. It's still a pain to build all
required eggs in a dependency file like requirements.txt unless pyspark
supports something like .pex files which build a self-contained python
executable from said requirements file.
If pex files were supported by pyspark, the daemon + workers would simply use
/path/to/file.pex as the Python executable and get a fully baked virtualenv for
free without Spark needing to concern itself with building these files.
Twitter has reportedly used this to ship distributed Python applications for
sometime.
> 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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