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https://issues.apache.org/jira/browse/SPARK-16630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16432467#comment-16432467
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Thomas Graves commented on SPARK-16630:
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sorry I don't follow, the list we get from the blacklist tracker is all nodes
that are blacklisted currently that haven't met the expiry to unblacklist them.
You just union them with the yarn allocator list. There is obviously some
race condition there if one of the nodes it just about to be unblacklisted but
I don't see that as a major issue, the next allocation will not have it. Is
there something I'm missing?
> Blacklist a node if executors won't launch on it.
> -------------------------------------------------
>
> Key: SPARK-16630
> URL: https://issues.apache.org/jira/browse/SPARK-16630
> Project: Spark
> Issue Type: Improvement
> Components: YARN
> Affects Versions: 1.6.2
> Reporter: Thomas Graves
> Priority: Major
>
> On YARN, its possible that a node is messed or misconfigured such that a
> container won't launch on it. For instance if the Spark external shuffle
> handler didn't get loaded on it , maybe its just some other hardware issue or
> hadoop configuration issue.
> It would be nice we could recognize this happening and stop trying to launch
> executors on it since that could end up causing us to hit our max number of
> executor failures and then kill the job.
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