GitHub user viirya opened a pull request:
https://github.com/apache/spark/pull/20806
[SPARK-23661][SQL] Implement treeAggregate on Dataset API
## What changes were proposed in this pull request?
Many algorithms in MLlib are still not migrated their internal computing
workload from RDD to DataFrame. `treeAggregate` is one of obstacles we need to
address in order to see complete migration.
This patch is submitted to provide `treeAggregate` on Dataset API. For now
this should be a private API used by ML component.
The approach of tree aggregation imitates RDD's `treeAggregate`.
## How was this patch tested?
Added unit test.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/viirya/spark-1 treeAggregate
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/20806.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 #20806
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commit a254d1501c0119b4881c0443f28c263f0c9dec0e
Author: Liang-Chi Hsieh <viirya@...>
Date: 2018-03-12T08:41:20Z
Implement treeAggregate on Dataset API.
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