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Posted to issues@spark.apache.org by "Thomas Graves (JIRA)" <ji...@apache.org> on 2018/06/21 14:23:00 UTC
[jira] [Commented] (SPARK-24611) Clean up OutputCommitCoordinator
[ https://issues.apache.org/jira/browse/SPARK-24611?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16519420#comment-16519420 ]
Thomas Graves commented on SPARK-24611:
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[~joshrosen] just noticed you were the last one to modify the dagscheduler for output commit coordinator
[https://github.com/apache/spark/commit/d0b56339625727744e2c30fc2167bc6a457d37f7]
where it split ShuffleMapStage from ResultStage handling.
Do you know of any case the ShuffleMapStage actually call into canCommit?
> Clean up OutputCommitCoordinator
> --------------------------------
>
> Key: SPARK-24611
> URL: https://issues.apache.org/jira/browse/SPARK-24611
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.4.0
> Reporter: Marcelo Vanzin
> Priority: Major
>
> This is a follow up to SPARK-24589, to address some issues brought up during review of the change:
> - the DAGScheduler registers all stages with the coordinator, when at first view only result stages need to. That would save memory in the driver.
> - the coordinator can track task IDs instead of the internal "TaskIdentifier" type it uses; that would also save some memory, and also be more accurate.
> - {{TaskCommitDenied}} currently has a "job ID" when it's really a stage ID, and it contains the task attempt number, when it should probably have the task ID instead (like above).
> The latter is an API breakage (in a class tagged as developer API, but still), and also affects data written to event logs.
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