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Posted to issues@spark.apache.org by "Weiqing Yang (JIRA)" <ji...@apache.org> on 2016/08/24 18:40:20 UTC

[jira] [Updated] (SPARK-17220) Upgrade Py4J to 0.10.3

     [ https://issues.apache.org/jira/browse/SPARK-17220?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Weiqing Yang updated SPARK-17220:
---------------------------------
    Description: 
Py4J 0.10.3 has landed. It includes some important bug fixes. For example:
Both sides: fixed memory leak issue with ClientServer and potential deadlock issue by creating a memory leak test suite. (Py4J 0.10.2)
Both sides: added more memory leak tests and fixed a potential memory leak related to listeners. (Py4J 0.10.3)
So it's time to upgrade py4j from 0.10.1 to 0.10.3. The changelog is available at https://www.py4j.org/changelog.html 


  was:
Py4J 0.10.3 has landed. It includes some important bug fixes. For example:
Both sides: fixed memory leak issue with ClientServer and potential deadlock issue by creating a memory leak test suite.
Both sides: added more memory leak tests and fixed a potential memory leak related to listeners.
So it's time to upgrade py4j to 0.10.3. The changelog is available at https://www.py4j.org/changelog.html 



> Upgrade Py4J to 0.10.3
> ----------------------
>
>                 Key: SPARK-17220
>                 URL: https://issues.apache.org/jira/browse/SPARK-17220
>             Project: Spark
>          Issue Type: Improvement
>            Reporter: Weiqing Yang
>            Priority: Minor
>
> Py4J 0.10.3 has landed. It includes some important bug fixes. For example:
> Both sides: fixed memory leak issue with ClientServer and potential deadlock issue by creating a memory leak test suite. (Py4J 0.10.2)
> Both sides: added more memory leak tests and fixed a potential memory leak related to listeners. (Py4J 0.10.3)
> So it's time to upgrade py4j from 0.10.1 to 0.10.3. The changelog is available at https://www.py4j.org/changelog.html 



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