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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/01 16:59:04 UTC
[jira] [Commented] (SPARK-8733) ML RDD.unpersist calls should use
blocking = false
[ https://issues.apache.org/jira/browse/SPARK-8733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14610408#comment-14610408 ]
Apache Spark commented on SPARK-8733:
-------------------------------------
User 'ilganeli' has created a pull request for this issue:
https://github.com/apache/spark/pull/7160
> ML RDD.unpersist calls should use blocking = false
> --------------------------------------------------
>
> Key: SPARK-8733
> URL: https://issues.apache.org/jira/browse/SPARK-8733
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Reporter: Joseph K. Bradley
> Attachments: Screen Shot 2015-06-30 at 10.51.44 AM.png
>
> Original Estimate: 72h
> Remaining Estimate: 72h
>
> MLlib uses unpersist in many places, but is not consistent about blocking vs not. We should check through all of MLlib and change calls to use blocking = false, unless there is a real need to block. I have run into issues with futures timing out because of unpersist() calls, when there was no real need for the ML method to fail.
> See attached screenshot. Training succeeded, but the final unpersist during cleanup failed.
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