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https://issues.apache.org/jira/browse/SPARK-4352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14572356#comment-14572356
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Sandy Ryza commented on SPARK-4352:
-----------------------------------

Right, but once we have placed 5 executors on those nodes, the other executors 
can go anywhere (and it's probably preferable that they do in order to spread 
out our resource consumption more evenly).

> Incorporate locality preferences in dynamic allocation requests
> ---------------------------------------------------------------
>
>                 Key: SPARK-4352
>                 URL: https://issues.apache.org/jira/browse/SPARK-4352
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core, YARN
>    Affects Versions: 1.2.0
>            Reporter: Sandy Ryza
>            Assignee: Saisai Shao
>            Priority: Critical
>         Attachments: Supportpreferrednodelocationindynamicallocation.pdf
>
>
> Currently, achieving data locality in Spark is difficult unless an 
> application takes resources on every node in the cluster.  
> preferredNodeLocalityData provides a sort of hacky workaround that has been 
> broken since 1.0.
> With dynamic executor allocation, Spark requests executors in response to 
> demand from the application.  When this occurs, it would be useful to look at 
> the pending tasks and communicate their location preferences to the cluster 
> resource manager. 



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