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https://issues.apache.org/jira/browse/SPARK-16630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390159#comment-16390159
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Imran Rashid commented on SPARK-16630:
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I'd also take {{spark.yarn.max.executor.failures}} into account for figuring
out a default. In particular we'd want the default to be below that, so one
bad node wouldn't kill the app.
Does it makes sense for this to be tied into the generic BlacklistTracker? I
guess all the interesting logic will be cluster specific so maybe not.
{quote}
We also want to take into account small clusters and perhaps stop blacklisting
if a certain percent of the cluster is already blacklisted.
{quote}
I don't think that is possible -- is the size of the cluster exposed at all?
you raise a good point though, we'd need to have some way to detect this, to
avoid the app just sitting idle indefinitely.
> 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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