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https://issues.apache.org/jira/browse/SPARK-6935?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14497989#comment-14497989
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Sean Owen commented on SPARK-6935:
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I don't know if it's that important to update the 1.2 docs since there may be
no additional 1.2.x release after 1.2.2 coming out ... today. It's also in the
usage message already.
> spark/spark-ec2.py add parameters to give different instance types for master
> and slaves
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-6935
> URL: https://issues.apache.org/jira/browse/SPARK-6935
> Project: Spark
> Issue Type: Improvement
> Components: EC2
> Affects Versions: 1.3.0
> Reporter: Oleksii Mandrychenko
> Priority: Minor
> Labels: easyfix
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> I want to start a cluster where I give beefy AWS instances to slaves, such as
> memory-optimised R3, but master is not really performing much number
> crunching work. So it is a waste to allocate a powerful instance for master,
> where a regular one would suffice.
> Suggested syntax:
> {code}
> sh spark-ec2 --instance-type-slave=<instance_type> # applies to slaves
> only
> --instance-type-master=<instance_type> # applies to master
> only
> --instance-type=<instance_type> # default, applies to
> both
> # in real world
> sh spark-ec2 --instance-type-slave=r3.2xlarge --instance-type-master=c3.xlarge
> {code}
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