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Posted to issues@spark.apache.org by "Sue Ann Hong (JIRA)" <ji...@apache.org> on 2017/01/05 23:55:58 UTC

[jira] [Commented] (SPARK-18630) PySpark ML memory leak

    [ https://issues.apache.org/jira/browse/SPARK-18630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15802922#comment-15802922 ] 

Sue Ann Hong commented on SPARK-18630:
--------------------------------------

will take a look at this

> PySpark ML memory leak
> ----------------------
>
>                 Key: SPARK-18630
>                 URL: https://issues.apache.org/jira/browse/SPARK-18630
>             Project: Spark
>          Issue Type: Bug
>          Components: ML, PySpark
>            Reporter: holdenk
>            Priority: Minor
>
> After SPARK-18274 is fixed by https://github.com/apache/spark/pull/15843, it would be good to follow up and address the potential memory leak for all items handled by the `JavaWrapper`, not just `JavaParams`.



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