GitHub user carsonwang opened a pull request:
https://github.com/apache/spark/pull/8017
[SPARK-9731] Standalone scheduling incorrect cores if spark.executor.cores
is not set
The issue only happens if `spark.executor.cores` is not set and executor
memory is set to a high value.
For example, if we have a worker with 4G and 10 cores and we set
`spark.executor.memory` to 3G, then only 1 core is assigned to the executor.
The correct number should be 10 cores.
I've added a unit test to illustrate the issue.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/carsonwang/spark SPARK-9731
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8017.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #8017
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commit 943cc4c4856a88f082a279fb567c116d7f6f741b
Author: Carson Wang <[email protected]>
Date: 2015-08-07T02:19:57Z
fix scheduling correct cores to executors
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