You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Imran Rashid (JIRA)" <ji...@apache.org> on 2016/06/21 21:47:57 UTC
[jira] [Updated] (SPARK-16106) TaskSchedulerImpl does not correctly
handle new executors on existing hosts
[ https://issues.apache.org/jira/browse/SPARK-16106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Imran Rashid updated SPARK-16106:
---------------------------------
Priority: Trivial (was: Major)
> 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
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org