[
https://issues.apache.org/jira/browse/SPARK-13587?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15178536#comment-15178536
]
Juliet Hougland commented on SPARK-13587:
-----------------------------------------
If pyspark allows users to create virtual environments, users will also want
and need other features of python environment management on a cluster. I think
this change would broaden the scope of PySpark to include python package
management on a cluster. I do not think that spark should be in the business of
creating python environments. I think the support load in terms of feature
requests, mailing list traffic, etc would be very large. This feature would
begin to solve a problem, but would also put us on the hook for many more.
I agree with the general intention of this JIRA -- make it easier to manage and
interact with complex python environments on a cluster. Perhaps there are other
ways to accomplish this without broadening scope and functionality as much. For
example, checking a requirements file against an environment before execution.
> Support virtualenv in PySpark
> -----------------------------
>
> Key: SPARK-13587
> URL: https://issues.apache.org/jira/browse/SPARK-13587
> Project: Spark
> Issue Type: Improvement
> 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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
