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Posted to issues@spark.apache.org by "Patrick Wendell (JIRA)" <ji...@apache.org> on 2014/11/21 01:35:35 UTC

[jira] [Updated] (SPARK-4525) MesosSchedulerBackend.resourceOffers cannot decline unused offers from acceptedOffers

     [ https://issues.apache.org/jira/browse/SPARK-4525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Patrick Wendell updated SPARK-4525:
-----------------------------------
    Assignee: Jongyoul Lee

> MesosSchedulerBackend.resourceOffers cannot decline unused offers from acceptedOffers
> -------------------------------------------------------------------------------------
>
>                 Key: SPARK-4525
>                 URL: https://issues.apache.org/jira/browse/SPARK-4525
>             Project: Spark
>          Issue Type: Bug
>          Components: Mesos
>    Affects Versions: 1.2.0, 1.3.0
>            Reporter: Jongyoul Lee
>            Assignee: Jongyoul Lee
>            Priority: Blocker
>             Fix For: 1.2.0, 1.3.0
>
>
> After resourceOffers function is refactored - SPARK-2269 -, that function doesn't decline unused offers from accepted offers. That's because when driver.launchTasks is called, if that's tasks is empty, driver.launchTask calls the declineOffer(offer.id). 
> {quote}
> Invoking this function with an empty collection of tasks declines offers in their entirety (see SchedulerDriver.declineOffer(OfferID, Filters)).
> - http://mesos.apache.org/api/latest/java/org/apache/mesos/MesosSchedulerDriver.html#launchTasks(OfferID,%20java.util.Collection,%20Filters)
> {quote}
> In branch-1.1, resourcesOffers calls a launchTask function for all offered offers, so driver declines unused resources, however, in current master, at first offers are divided accepted and declined offers by their resources, and delinedOffers are declined explicitly, and offers with task from acceptedOffers are launched by driver.launchTasks, but, offers without from acceptedOfers are not launched with empty task or declined explicitly. Thus, mesos master judges thats offers used by TaskScheduler and there are no resources remaing.



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