Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1321#issuecomment-52146688
QA tests have started for PR 1321. This patch merges cleanly. View
progress:
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1321#issuecomment-52146322
Jenkins, retest this please.
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/1321#issuecomment-52146296
Now I think about it more. LGTM.
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1321#issuecomment-52146302
:)
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Github user aarondav commented on the pull request:
https://github.com/apache/spark/pull/1321#issuecomment-49002113
I think it makes more sense if you can't run a command than certain
commands happen to be runnable while there are no cluster resources. This sort
of execution puts more
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/1321#issuecomment-48999161
When the cluster is busy and backlogged ...
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/1321#issuecomment-48999051
@rxin is there a case where you think local execution will yield a relevant
performance improvement? I don't see why shopping a task for a few milliseconds
is a bit deal
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/1321#issuecomment-48280965
Maybe we should also solve the problem that local execution should not
transfer the whole in-memory block (as a matter of fact, perhaps local
execution should just bypass th
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/1321#issuecomment-48250513
Merged build finished.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/1321#issuecomment-48250515
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Github user AmplabJenkins commented on the pull request:
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Merged build started.
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Github user AmplabJenkins commented on the pull request:
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Merged build triggered.
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GitHub user aarondav opened a pull request:
https://github.com/apache/spark/pull/1321
[RFC] Disable local execution of Spark jobs by default
Currently, local execution of Spark jobs is only used by take(), and it can
be problematic as it can load a significant amount of data onto th
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