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https://issues.apache.org/jira/browse/SPARK-16106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Imran Rashid resolved SPARK-16106.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 13826
[https://github.com/apache/spark/pull/13826]
> TaskSchedulerImpl does not correctly handle new executors on existing hosts
> ---------------------------------------------------------------------------
>
> Key: SPARK-16106
> URL: https://issues.apache.org/jira/browse/SPARK-16106
> Project: Spark
> Issue Type: Bug
> Components: Scheduler
> Affects Versions: 2.0.0
> Reporter: Imran Rashid
> Priority: Trivial
> Fix For: 2.1.0
>
>
> The TaskSchedulerImpl updates the set of executors and hosts in each call to
> {{resourceOffers}}. During this call, it also tracks whether there are any
> new executors observed in {{newExecAvail}}:
> {code}
> executorIdToHost(o.executorId) = o.host
> executorIdToTaskCount.getOrElseUpdate(o.executorId, 0)
> if (!executorsByHost.contains(o.host)) {
> executorsByHost(o.host) = new HashSet[String]()
> executorAdded(o.executorId, o.host)
> newExecAvail = true
> }
> {code}
> However, this only detects when a new *host* is added, not when an additional
> executor is added to an existing host (a relatively common event in dynamic
> allocation).
> The end result is that task locality and {{failedEpochs}} is not updated
> correctly for new executors.
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