[jira] [Updated] (SPARK-5243) Spark will hang if (driver memory + executor memory) exceeds limit on a 1-worker cluster

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-5243?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen updated SPARK-5243:
-----------------------------
    Target Version/s:   (was: 1.3.0)

> Spark will hang if (driver memory + executor memory) exceeds limit on a 1-worker cluster
> ----------------------------------------------------------------------------------------
>
>                 Key: SPARK-5243
>                 URL: https://issues.apache.org/jira/browse/SPARK-5243
>             Project: Spark
>          Issue Type: Improvement
>          Components: Deploy
>    Affects Versions: 1.2.0
>         Environment: centos, others should be similar
>            Reporter: yuhao yang
>            Priority: Minor
>
> Spark will hang if calling spark-submit under the conditions:
> 1. the cluster has only one worker.
> 2. driver memory + executor memory > worker memory
> 3. deploy-mode = cluster
> This usually happens during development for beginners.
> There should be some exit mechanism or at least a warning message in the output of the spark-submit.
> I would like to know your opinions about if a fix is needed (is this by design?) and better fix options.



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