You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Andrew Or (JIRA)" <ji...@apache.org> on 2015/04/18 03:31:58 UTC

[jira] [Updated] (SPARK-6350) Make mesosExecutorCores configurable in mesos "fine-grained" mode

     [ https://issues.apache.org/jira/browse/SPARK-6350?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Andrew Or updated SPARK-6350:
-----------------------------
    Affects Version/s: 1.0.0

> Make mesosExecutorCores configurable in mesos "fine-grained" mode
> -----------------------------------------------------------------
>
>                 Key: SPARK-6350
>                 URL: https://issues.apache.org/jira/browse/SPARK-6350
>             Project: Spark
>          Issue Type: Improvement
>          Components: Mesos
>    Affects Versions: 1.0.0
>            Reporter: Jongyoul Lee
>            Assignee: Jongyoul Lee
>            Priority: Minor
>             Fix For: 1.4.0
>
>
> When spark runs in mesos fine-grained mode, mesos slave launches executor with # of cpus and memories. By the way, # of executor's cores is always CPU_PER_TASKS as same as spark.task.cpus. If I set that values as 5 for running intensive task, mesos executor always consume 5 cores without any running task. This waste resources. We should set executor core as a configuration variable.



--
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