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https://issues.apache.org/jira/browse/SPARK-7736?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14621832#comment-14621832
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Shay Rojansky commented on SPARK-7736:
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Neelesh, not sure I understood what you're saying exactly... I agree with Esben
that at the end of the day, if a Spark application fails (by throwing an
exception), and does so on all Yarn application attempts, that the Yarn status
of that application definitely should be FAILED...
> Exception not failing Python applications (in yarn cluster mode)
> ----------------------------------------------------------------
>
> Key: SPARK-7736
> URL: https://issues.apache.org/jira/browse/SPARK-7736
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Environment: Spark 1.3.1, Yarn 2.7.0, Ubuntu 14.04
> Reporter: Shay Rojansky
>
> It seems that exceptions thrown in Python spark apps after the SparkContext
> is instantiated don't cause the application to fail, at least in Yarn: the
> application is marked as SUCCEEDED.
> Note that any exception right before the SparkContext correctly places the
> application in FAILED state.
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