You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Jeff Zhang (JIRA)" <ji...@apache.org> on 2017/03/14 06:48:42 UTC
[jira] [Commented] (SPARK-13587) Support virtualenv in PySpark
[ https://issues.apache.org/jira/browse/SPARK-13587?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15923683#comment-15923683 ]
Jeff Zhang commented on SPARK-13587:
------------------------------------
I linked a detailed document about how to use it in both batch mode and interactive mode, if anyone is interested in this, you can try this PR.
> 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
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org