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https://issues.apache.org/jira/browse/SPARK-701?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14606622#comment-14606622
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Shivaram Venkataraman commented on SPARK-701:
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Yeah so SPARK_MEM used to be used for both master and executors before. Right
now we have two separate variables spark.executor.memory and
spark.driver.memory that we can set. Lets open a new issue for this.
> Wrong SPARK_MEM setting with different EC2 master and worker machine types
> --------------------------------------------------------------------------
>
> Key: SPARK-701
> URL: https://issues.apache.org/jira/browse/SPARK-701
> Project: Spark
> Issue Type: Bug
> Components: EC2
> Affects Versions: 0.7.0
> Reporter: Josh Rosen
> Assignee: Shivaram Venkataraman
> Fix For: 0.7.0
>
>
> When launching a spark-ec2 cluster using different worker and master machine
> types, SPARK_MEM in spark-env.sh is set based on the master's memory instead
> of the worker's. This causes jobs to hang if the master has more memory than
> the workers (because jobs will request too much memory).
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