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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/07/14 19:37:20 UTC
[jira] [Updated] (SPARK-15578) Run Spark jobs in Mesos sequentially
[ https://issues.apache.org/jira/browse/SPARK-15578?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-15578:
------------------------------
Priority: Major (was: Blocker)
Don't set Blocker. I don't think this is true; most likely a problem in how you're submitting. This also looks incomplete and I'd close it for lack of follow up
> Run Spark jobs in Mesos sequentially
> ------------------------------------
>
> Key: SPARK-15578
> URL: https://issues.apache.org/jira/browse/SPARK-15578
> Project: Spark
> Issue Type: Improvement
> Components: Mesos, Spark Submit
> Affects Versions: 1.6.1
> Reporter: Yogesh Nath
>
> I schedule multiple jobs using Spark Dispatcher, initially, only 1 driver is launched taking all the resources available but then after that is complete, all other drivers are run at the same time and resources are spliced across them.
> There should be a way to specify that Jobs should be run sequentially so that the first job in the queue is given a chance to take as many resources as it initially requested(based on --num-executor) before other jobs in the queue are executed.
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