Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/1391#issuecomment-48836123
You are missing my point I think ... To give unscientific anecdotal example
: our gbdt expiriments , which run on about 22 nodes need no tuning.
While our
Github user nishkamravi2 commented on the pull request:
https://github.com/apache/spark/pull/1391#issuecomment-48836220
Mridul, I think you are missing the point. We understand that this
parameter will in a lot of cases have to be specified by the developer, since
there is no easy
Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/1391#issuecomment-48836408
On Jul 13, 2014 3:16 PM, nishkamravi2 notificati...@github.com wrote:
Mridul, I think you are missing the point. We understand that this
parameter will in a
Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/1391#issuecomment-48836619
Hmm, looks like some of my responses to Sean via mail reply have not shown
up here ... Maybe mail gateway delays ?
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Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/1391#issuecomment-48836879
Since this is a recurring nightmare for our users, let me try to list down
the factors which influence overhead given current spark codebase state in
the jira when
GitHub user nishkamravi2 opened a pull request:
https://github.com/apache/spark/pull/1391
Modify default YARN memory_overhead-- from an additive constant to a
multiplier
Related to https://github.com/apache/spark/pull/894/ and
https://issues.apache.org/jira/browse/SPARK-2398
Github user nishkamravi2 commented on the pull request:
https://github.com/apache/spark/pull/1391#issuecomment-48832556
Also see: https://issues.apache.org/jira/browse/SPARK-2444
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/1391#issuecomment-48832590
Can one of the admins verify this patch?
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