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Posted to issues@spark.apache.org by "Marcelo Vanzin (JIRA)" <ji...@apache.org> on 2019/02/12 20:55:00 UTC
[jira] [Resolved] (SPARK-7941) Cache Cleanup Failure when job is
killed by Spark
[ https://issues.apache.org/jira/browse/SPARK-7941?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Marcelo Vanzin resolved SPARK-7941.
-----------------------------------
Resolution: Cannot Reproduce
I'm pretty sure this has been fixed since 1.3.
All YARN temp files are under YARN-managed directories, which YARN deletes on app exit.
I remember implementing something similar on standalone also.
So other than the client-mode driver, everything else should be cleaned up by the cluster manager already.
> Cache Cleanup Failure when job is killed by Spark
> --------------------------------------------------
>
> Key: SPARK-7941
> URL: https://issues.apache.org/jira/browse/SPARK-7941
> Project: Spark
> Issue Type: Bug
> Components: PySpark, YARN
> Affects Versions: 1.3.1
> Reporter: Cory Nguyen
> Priority: Major
> Attachments: screenshot-1.png
>
>
> Problem/Bug:
> If a job is running and Spark kills the job intentionally, the cache files remains on the local/worker nodes and are not cleaned up properly. Over time the old cache builds up and causes "No Space Left on Device" error.
> The cache is cleaned up properly when the job succeeds. I have not verified if the cached remains when the user intentionally kills the job.
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