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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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