Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/10475
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/10475#issuecomment-188497081
I was going to merge into branch 1.6 but they are supposed to be starting
1.6.1 so I'll wait and get this in after that.
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/10475#issuecomment-185734465
lgtm. leaving it open for a bit to see if anyone else has comments.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/10475#issuecomment-185516229
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/10475#issuecomment-185515876
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Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/10475#discussion_r53174906
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/ExecutorDelegationTokenUpdater.scala
---
@@ -76,7 +76,8 @@ private[spark] class
Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/10475#issuecomment-185238025
Since the call to the executorUpdaterRunnable.run() is after we checked to
see if new credentials were there I think this is ok to do. We just tried to
update and
Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/10475#issuecomment-182108807
@SaintBacchus posting question here as well;
you say "endless cycle call" do you mean the application master hangs? It
seems like it should throw and if the
Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/10475#issuecomment-181398156
please see question in jira
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/10475#issuecomment-178225888
@tgravescs @harishreedharan
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Github user SaintBacchus commented on the pull request:
https://github.com/apache/spark/pull/10475#issuecomment-168105166
This only work in cluster, but this is easy to reproduce in cluster
1. Start-up a yarn-client spark application
2. Remove the staging dir when AM
Github user sarutak commented on the pull request:
https://github.com/apache/spark/pull/10475#issuecomment-167655015
CC: @harishreedharan
@SaintBacchus could you add test cases for this change?
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Github user SparkQA commented on the pull request:
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GitHub user SaintBacchus opened a pull request:
https://github.com/apache/spark/pull/10475
[SPARK-12316] Wait a minutes to avoid cycle calling.
When application end, AM will clean the staging dir.
But if the driver trigger to update the delegation token, it will can't
find the
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