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Posted to issues@spark.apache.org by "Takuya Ueshin (JIRA)" <ji...@apache.org> on 2018/10/26 04:57:00 UTC
[jira] [Resolved] (SPARK-25822) Fix a race condition when releasing
a Python worker
[ https://issues.apache.org/jira/browse/SPARK-25822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Takuya Ueshin resolved SPARK-25822.
-----------------------------------
Resolution: Fixed
Fix Version/s: 2.4.0
2.3.3
Issue resolved by pull request 22816
https://github.com/apache/spark/pull/22816
> Fix a race condition when releasing a Python worker
> ---------------------------------------------------
>
> Key: SPARK-25822
> URL: https://issues.apache.org/jira/browse/SPARK-25822
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.3.2
> Reporter: Shixiong Zhu
> Assignee: Shixiong Zhu
> Priority: Major
> Fix For: 2.3.3, 2.4.0
>
>
> There is a race condition when releasing a Python worker. If "ReaderIterator.handleEndOfDataSection" is not running in the task thread, when a task is early terminated (such as "take(N)"), the task completion listener may close the worker but "handleEndOfDataSection" can still put the worker into the worker pool to reuse.
> https://github.com/zsxwing/spark/commit/0e07b483d2e7c68f3b5c3c118d0bf58c501041b7 is a patch to reproduce this issue.
> I also found a user reported this in the mail list: http://mail-archives.apache.org/mod_mbox/spark-user/201610.mbox/%3CCAAUq=H+YLUEpd23nwvq13Ms5hOStkhX3ao4f4zQV6sgO5zM-xA@mail.gmail.com%3E
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