He Tianyi created SPARK-15336:
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Summary: 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
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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