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Apache Spark commented on SPARK-16630:
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User 'attilapiros' has created a pull request for this
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Attila Zsolt Piros commented on SPARK-16630:
Let me illustrate my problem with an example:
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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
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Attila Zsolt Piros commented on SPARK-16630:
I would need the expiry times to choose the most
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Thomas Graves commented on SPARK-16630:
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yes I think it would make sense as the union of all
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Attila Zsolt Piros commented on SPARK-16630:
I have question regarding limiting the number of
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Attila Zsolt Piros commented on SPARK-16630:
Yes you are right more executors can be
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Thomas Graves commented on SPARK-16630:
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the problem is that spark.executor.instances (or dynamic
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Attila Zsolt Piros commented on SPARK-16630:
[~tgraves] what about stopping YARN backlisting
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Attila Zsolt Piros commented on SPARK-16630:
[~irashid] I would reuse
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Imran Rashid commented on SPARK-16630:
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Be sure to look at the discussion on this PR about the same
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Attila Zsolt Piros commented on SPARK-16630:
I am working on this issue.
> Blacklist a node
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Thomas Graves commented on SPARK-16630:
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yes yarn tells you the # of nodemanagers. allocateResponse
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Imran Rashid commented on SPARK-16630:
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I'd also take {{spark.yarn.max.executor.failures}} into
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Thomas Graves commented on SPARK-16630:
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yes something along these lines is what I was thinking. we
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Attila Zsolt Piros commented on SPARK-16630:
Of course we can consider
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Attila Zsolt Piros commented on SPARK-16630:
I have checked the existing sources and I would
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Thomas Graves commented on SPARK-16630:
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Note this is more at the resource manager level where in
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