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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-15061) Upgrade Py4J to 0.10.1
Date Fri, 13 May 2016 08:00:23 GMT

     [ https://issues.apache.org/jira/browse/SPARK-15061?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen resolved SPARK-15061.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 13064
[https://github.com/apache/spark/pull/13064]

> 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
>            Assignee: holdenk
>             Fix For: 2.0.0
>
>
> 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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