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From "holdenk (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-15061) Upgrade Py4J to 0.10.1
Date Tue, 03 May 2016 18:34:12 GMT

    [ https://issues.apache.org/jira/browse/SPARK-15061?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15269315#comment-15269315
] 

holdenk commented on SPARK-15061:
---------------------------------

It seems like the latest Py4J has landed, I'd be happy to take this task as I did the last
Py4J upgrade as well.

> Upgrade Py4J to 0.10.1
> ----------------------
>
>                 Key: SPARK-15061
>                 URL: https://issues.apache.org/jira/browse/SPARK-15061
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>            Reporter: Chris Kanich
>              Labels: easyfix
>
> Py4J 0.10.1 hasn't landed yet, but it will likely cause a significant performance improvement
for PySpark and MLLib in particular. More details are available at https://github.com/bartdag/py4j/issues/201
> The syscall overhead was likely the reason that https://issues.apache.org/jira/browse/SPARK-6728
was reported as well - dropping the base64 encoding will help too, but I imagine this fix
will help more.



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