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https://issues.apache.org/jira/browse/SPARK-15336?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-15336.
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Resolution: Incomplete
> Detect and take action about executors running on corrupted nodes
> -----------------------------------------------------------------
>
> Key: SPARK-15336
> URL: https://issues.apache.org/jira/browse/SPARK-15336
> Project: Spark
> Issue Type: Improvement
> Reporter: He Tianyi
> Priority: Minor
> Labels: bulk-closed
>
> In a cluster consists of many nodes, there is a bigger chance that some
> corrupted nodes are running and launching containers on it. Corruptions may
> due to OS configuration, or file system (i.e. `python` binary corrupted in
> `pyspark`).
> In this case, if there are one executor running on one of these nodes, one
> may experience a repeated task failure for tasks scheduled on that executor.
> In production, this may also leads to job failure.
> Shall we provide a mechanism to detect it and do something like killing the
> executor?
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