GitHub user nishkamravi2 opened a pull request:
https://github.com/apache/spark/pull/7274
[SPARK-8881] Fix algorithm for scheduling executors on workers
Current scheduling algorithm allocates one core at a time and in doing so
ends up ignoring spark.executor.cores. As a result, when
spark.cores.max/spark.executor.cores (i.e, num_executors) < num_workers,
executors are not launched and the app hangs. This PR fixes and refactors the
scheduling algorithm.
@andrewor14
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/nishkamravi2/spark master_scheduler
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/7274.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 #7274
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commit ee7cf0e58dced03711dfc8e0a8da7a84375f551f
Author: Nishkam Ravi <[email protected]>
Date: 2015-07-08T00:08:28Z
Improved scheduling algorithm for executors
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