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https://issues.apache.org/jira/browse/SPARK-24379?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24379:
------------------------------------

    Assignee: Apache Spark

> BroadcastExchangeExec should catch SparkOutOfMemory and re-throw 
> SparkFatalException, which wraps SparkOutOfMemory inside.
> --------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-24379
>                 URL: https://issues.apache.org/jira/browse/SPARK-24379
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0
>            Reporter: jin xing
>            Assignee: Apache Spark
>            Priority: Major
>
> After SPARK-22827, Spark won't fails the entire executor but only fails the 
> task suffering SparkOutOfMemoryError. In current BroadcastExchangeExec, it 
> try-catch OutOfMemoryError. Think about below scenario:
>  # SparkOutOfMemoryError(subclass of OutOfMemoryError) is thrown in 
> scala.concurrent.Future;
>  # SparkOutOfMemoryError is caught and a OutOfMemoryError is wrapped in 
> SparkFatalException and re-thrown;
>  # ThreadUtils.awaitResult catches SparkFatalException and a OutOfMemoryError 
> is thrown;
>  # The OutOfMemoryError will go to 
> SparkUncaughtExceptionHandler.uncaughtException and Executor fails.
> So it make more sense to catch SparkOutOfMemory and re-throw 
> SparkFatalException, which wraps SparkOutOfMemory inside.



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