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Posted to issues@spark.apache.org by "Ruslan Dautkhanov (JIRA)" <ji...@apache.org> on 2015/06/19 21:08:00 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=14593802#comment-14593802 ]
Ruslan Dautkhanov commented on SPARK-2141:
------------------------------------------
Would be gread to have this implemented in PySpark as well.
Very handy in setups like Jupyter where we have a lot of RDDs declared in a Spark Notebook,
and its hard to tell where is memory consumed. UnpersistAll isn't really a solution, as if we rerun
all the cells, we're back to square one.
> 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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