[
https://issues.apache.org/jira/browse/SPARK-5349?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen updated SPARK-5349:
-----------------------------
Summary: Spark standalone should support dynamic resource scaling (was:
Multiple spark shells should be able to share resources)
> Spark standalone should support dynamic resource scaling
> --------------------------------------------------------
>
> Key: SPARK-5349
> URL: https://issues.apache.org/jira/browse/SPARK-5349
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.2.0
> Reporter: Tobias Bertelsen
>
> The resource requirements of an interactive shell varies heavily. Sometimes
> heavy commands are executed, and sometimes the user is thinking, getting
> coffee, interrupted etc...
> A spark shell allocates a fixed number of worker cores (at least in
> standalone mode). A user thus has the choice to either block other users from
> the cluster by allocating all cores (default behavior), or restrict
> him/herself to only a few cores using the option {{--total-executor-cores}}.
> Either way the cores allocated to the shell has low utilization, since they
> will be waiting for the user a lot.
> Instead the spark shell allocate resources directly required to run the
> driver, and request worker cores only when computation is performed on the
> RDDs.
> This should allow for multiple users, to use an interactive shell
> concurrently while stille utilizing the entire cluster, when performing heavy
> operations.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
