[
https://issues.apache.org/jira/browse/SPARK-5243?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
yuhao yang updated SPARK-5243:
------------------------------
Description:
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 and better fix
options.
was:
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 am preparing PR for the case. And I would like to know your opinions about if
a fix is needed and better fix options.
> 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 and better fix
> options.
--
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
