[
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()}}.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
