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https://issues.apache.org/jira/browse/SPARK-13587?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15310872#comment-15310872
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Greg Bowyer commented on SPARK-13587:
-------------------------------------
Does this work for people ?
https://www.continuum.io/blog/developer-blog/conda-spark
The downsides are
1. Its conda, it is not quite as standard as virtualenv / pip
2. Conda will install none free software (e.g. MKL) - this might be a problem
However I think that it might also help in that conda bundles dependencies like
BLAS, LAPACK and friends which might save some folks heartache when dealing
with badly configured clusters.
> 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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