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Posted to issues@spark.apache.org by "Matei Zaharia (JIRA)" <ji...@apache.org> on 2014/09/22 00:44:33 UTC
[jira] [Comment Edited] (SPARK-3628) Don't apply accumulator
updates multiple times for tasks in result stages
[ https://issues.apache.org/jira/browse/SPARK-3628?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14142756#comment-14142756 ]
Matei Zaharia edited comment on SPARK-3628 at 9/21/14 10:43 PM:
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BTW the problem is that this used to be guarded against in the TaskSetManager (see https://github.com/apache/spark/blob/branch-0.6/core/src/main/scala/spark/scheduler/cluster/TaskSetManager.scala#L254), and that went away at some point.
was (Author: matei):
BTW the problem is that this used to be guarded against in the TaskSetManager (see https://github.com/apache/spark/blob/branch-0.6/core/src/main/scala/spark/scheduler/cluster/TaskSetManager.scala#L253), and that went away at some point.
> Don't apply accumulator updates multiple times for tasks in result stages
> -------------------------------------------------------------------------
>
> Key: SPARK-3628
> URL: https://issues.apache.org/jira/browse/SPARK-3628
> Project: Spark
> Issue Type: Bug
> Reporter: Matei Zaharia
> Priority: Blocker
>
> In previous versions of Spark, accumulator updates only got applied once for accumulators that are only used in actions (i.e. result stages), letting you use them to deterministically compute a result. Unfortunately, this got broken in some recent refactorings.
> This is related to https://issues.apache.org/jira/browse/SPARK-732, but that issue is about applying the same semantics to intermediate stages too, which is more work and may not be what we want for debugging.
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