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Posted to issues@spark.apache.org by "Shea Parkes (JIRA)" <ji...@apache.org> on 2016/11/14 21:46:58 UTC

[jira] [Commented] (SPARK-2141) Add sc.getPersistentRDDs() to PySpark

    [ https://issues.apache.org/jira/browse/SPARK-2141?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15665137#comment-15665137 ] 

Shea Parkes commented on SPARK-2141:
------------------------------------

This would have been nice to have today.  We wanted to clean up some cached interim RDDs from a mllib model fit, but there were no references to them in the python interpreter.  To get around this, we had to reach into the _jsc attribute and utilize the java-based getPersistentRDDs to get references to the dang RDDs (just long enough to unpersist them).

> Add sc.getPersistentRDDs() to PySpark
> -------------------------------------
>
>                 Key: SPARK-2141
>                 URL: https://issues.apache.org/jira/browse/SPARK-2141
>             Project: Spark
>          Issue Type: New Feature
>          Components: PySpark
>    Affects Versions: 1.0.0
>            Reporter: Nicholas Chammas
>            Assignee: Kan Zhang
>
> PySpark does not appear to have {{sc.getPersistentRDDs()}}.



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