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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/05/04 10:23:13 UTC

[jira] [Updated] (SPARK-15061) Upgrade Py4J to 0.10.1

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

Sean Owen updated SPARK-15061:
------------------------------
            Assignee: holdenk
    Target Version/s: 2.1.0
              Labels:   (was: easyfix)

> 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
>
> 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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