GitHub user lw-lin opened a pull request:
https://github.com/apache/spark/pull/14298
[SPARK-16283][SQL] Implement `percentile_approx` SQL function
## What changes were proposed in this pull request?
This patch Implements `percentile_approx` SQL function using Spark's
implementation of G-K algorithm.
- commit 1: moves the G-K algorithm implementation(`QuantileSummaries` and
related tests) from `sql/core` to `sql/catalyst`
- commit 2: implements `percentile_approx` using G-K algorithm
## How was this patch tested?
- Jenkins
- added new tests
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/lw-lin/spark impl_percentile_approx
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14298.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 #14298
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commit d3a6dc825577a4a5e44e8eb0f8e61ef2053e127d
Author: Liwei Lin <lwl...@gmail.com>
Date: 2016-07-21T08:29:00Z
Move G-K all from `sql/core` to `sql/catalyst`
commit 110158062cb1f6a571ad8e0bab9bc5962107b59a
Author: Liwei Lin <lwl...@gmail.com>
Date: 2016-07-21T08:38:06Z
Implement percentile_approx
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