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https://issues.apache.org/jira/browse/SPARK-16554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16554:
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Assignee: Jose Soltren (was: Apache Spark)
> Spark should kill executors when they are blacklisted
> -----------------------------------------------------
>
> Key: SPARK-16554
> URL: https://issues.apache.org/jira/browse/SPARK-16554
> Project: Spark
> Issue Type: New Feature
> Components: Scheduler
> Reporter: Imran Rashid
> Assignee: Jose Soltren
>
> SPARK-8425 will allow blacklisting faulty executors and nodes. However,
> these blacklisted executors will continue to run. This is bad for a few
> reasons:
> (1) Even if there is faulty-hardware, if the cluster is under-utilized spark
> may be able to request another executor on a different node.
> (2) If there is a faulty-disk (the most common case of faulty-hardware), the
> cluster manager may be able to allocate another executor on the same node, if
> it can exclude the bad disk. (Yarn will do this with its disk-health
> checker.)
> With dynamic allocation, this may seem less critical, as a blacklisted
> executor will stop running new tasks and eventually get reclaimed. However,
> if there is cached data on those executors, they will not get killed till
> {{spark.dynamicAllocation.cachedExecutorIdleTimeout}} expires, which is
> (effectively) infinite by default.
> Users may not *always* want to kill bad executors, so this must be
> configurable to some extent. At a minimum, it should be possible to enable /
> disable it; perhaps the executor should be killed after it has been
> blacklisted a configurable {{N}} times.
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