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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-5349) Multiple spark shells should be able to share resources
Date Thu, 22 Jan 2015 10:52:34 GMT

    [ https://issues.apache.org/jira/browse/SPARK-5349?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14287261#comment-14287261
] 

Sean Owen commented on SPARK-5349:
----------------------------------

I think this is a subset of https://issues.apache.org/jira/browse/SPARK-3174 which has been
implemented. This is a means to scale up and down the number of executors. It is for YARN,
but, I think this issue isn't acute in standalone mode, which is generally not multi-user.
The issue is not special to the shell.

> Multiple spark shells should be able to share resources
> -------------------------------------------------------
>
>                 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.



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