GitHub user JoshRosen opened a pull request:
https://github.com/apache/spark/pull/11942
[SPARK-14135] Add off-heap storage memory bookkeeping support to
MemoryManager
This patch extends Spark's `UnifiedMemoryManager` to add bookkeeping
support for off-heap storage memory, an requirement for enabling off-heap
caching (which will be done by #11805). The `MemoryManager`'s
`storageMemoryPool` has been split into separate on- and off-heap pools and the
storage and unroll memory allocation methods have been updated to accept a
`memoryMode` parameter to specify whether allocations should be performed on-
or off-heap.
In order to reduce the testing surface, the `StaticMemoryManager` does not
support off-heap caching (we plan to eventually remove the
`StaticMemoryManager`, so this isn't a significant limitation).
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/JoshRosen/spark
off-heap-storage-memory-bookkeeping
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11942.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 #11942
----
commit 86c8a493d3ca580db7a707fbdc326eb37d4f1c94
Author: Josh Rosen <[email protected]>
Date: 2016-03-24T17:29:58Z
Add memoryMode method to StorageLevel
commit 69e22fe86a1c6c4b138631dfc789d08e47ef094e
Author: Josh Rosen <[email protected]>
Date: 2016-03-17T01:44:20Z
Add separate on- and off-heap storage memory pools to MemoryManager
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