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https://issues.apache.org/jira/browse/SPARK-4352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14551898#comment-14551898
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Sandy Ryza commented on SPARK-4352:
-----------------------------------
I don't think we should kill executors in order to achieve locality. But I
think the question of how we translate task preferences into new executor
requests is non-trivial, and the way that it was previously done with
generateNodeToWeight isn't necessarily the best way (but could be).
I don't think there's an obvious solution, but it would be good to lay out the
options and their pros and cons.
> 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
> Priority: Critical
>
> 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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