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https://issues.apache.org/jira/browse/SPARK-13587?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16217221#comment-16217221
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Semet commented on SPARK-13587:
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Hello. For me this solution is equivalent with my "Wheelhouse" (SPARK-16367)
proposal I made, even without having to modify pyspark at all. I even think you
can package a wheelhouse using this {{--archive}} argument.
The drawback is indeed your spark-submit has to send this package to each node
(1 to n). If Pyspark supported {{requirements.txt}}/{{Pipfile}} dependencies
description formats, each node would download by itself the dependencies...
> 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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