[
https://issues.apache.org/jira/browse/SPARK-5243?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16402398#comment-16402398
]
Meenakshi sundaram sekar commented on SPARK-5243:
-------------------------------------------------
Hi - i faced this issue when i had one master and on worker. i had driver and
executor memory set to 8G .
After reading this issue trail ,i increased my worker count to 2 instances
with 30g of memory each. My jobs ran fine. Thanks
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
