GitHub user a-roberts opened a pull request:
https://github.com/apache/spark/pull/15736
[SPARK-18224] [CORE] Optimise PartitionedPairBuffer implementation
## What changes were proposed in this pull request?
This change is very similar to my pull request for improving
PartitionedPairAppendOnlyMap: https://github.com/apache/spark/pull/15735
Summarising (more detail above), we avoid the slow iterator wrapping in
favour of helping the inliner. We observed that this, when combined with the
above change, leads to a 3% performance increase on the HiBench large PageRank
benchmark with both IBM's SDK for Java and with OpenJDK 8
## How was this patch tested?
Existing unit tests and HiBench large profile with both IBM's SDK for Java
and OpenJDK 8, the PageRank benchmark specifically
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/a-roberts/spark patch-11
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15736.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 #15736
----
commit 0d1411c0f14c7679931124838f01e8f44618c15f
Author: Adam Roberts <[email protected]>
Date: 2016-11-02T11:36:28Z
[SPARK-18224] [CORE] Optimise PartitionedPairBuffer implementation
This change is very similar to my pull request or improving
PartitionedPairAppendOnlyMap: https://github.com/apache/spark/pull/15735
Summarising (more detail above), we avoid the slow iterator wrapping in
favour of helping the inliner. We observed that this, when combined with the
above change, leads to a 3% performance increase on the HiBench large PageRank
benchmark with both IBM's SDK for Java and with OpenJDK 8
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]