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https://issues.apache.org/jira/browse/SPARK-22827?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16679306#comment-16679306
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Apache Spark commented on SPARK-22827:
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User 'ueshin' has created a pull request for this issue:
https://github.com/apache/spark/pull/22969
> Avoid throwing OutOfMemoryError in case of exception in spill
> -------------------------------------------------------------
>
> Key: SPARK-22827
> URL: https://issues.apache.org/jira/browse/SPARK-22827
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: Sital Kedia
> Assignee: Sital Kedia
> Priority: Major
> Fix For: 2.3.0
>
>
> Currently, the task memory manager throws an OutofMemory error when there is
> an IO exception happens in spill() -
> https://github.com/apache/spark/blob/master/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java#L194.
> Similarly there any many other places in code when if a task is not able to
> acquire memory due to an exception we throw an OutofMemory error which kills
> the entire executor and hence failing all the tasks that are running on that
> executor instead of just failing one single task.
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