GitHub user JoshRosen opened a pull request:
https://github.com/apache/spark/pull/6227
[SPARK-7698] [WIP] Cache and reuse buffers in ExecutorMemoryAllocator when
using heap allocation
When on-heap memory allocation is used, ExecutorMemoryManager should
maintain a cache / pool of buffers for re-use by tasks. This will significantly
improve the performance of the new Tungsten's sort-shuffle for jobs with many
short-lived tasks by eliminating a major source of GC.
This pull request is an early work-in-progress sketch showing a
minimum-viable-implementation of this idea. In its current form, this patch
significantly improves performance on a stress test which launches huge numbers
of short-lived shuffle map tasks back-to-back in the same JVM.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/JoshRosen/spark SPARK-7698
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/6227.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 #6227
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commit b154e868dab749d084533f5ca491c75675c96019
Author: Josh Rosen <[email protected]>
Date: 2015-05-18T02:59:54Z
WIP sketch of pooling in ExecutorMemoryManager
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