GitHub user rxin opened a pull request:
https://github.com/apache/spark/pull/16093
[SPARK-18663][SQL] Simplify CountMinSketch aggregate implementation
## What changes were proposed in this pull request?
SPARK-18429 introduced count-min sketch aggregate function for SQL, but the
implementation and testing is more complicated than needed. This simplifies the
test cases and removes support for data types that don't have clear equality
semantics:
1. Removed support for floating point and decimal types.
2. Removed the heavy randomized tests. The underlying CountMinSketch
implementation already had pretty good test coverage through randomized tests,
and the SPARK-18429 implementation is just to add an aggregate function wrapper
around CountMinSketch. There is no need for randomized tests at three different
levels of the implementations.
## How was this patch tested?
A lot of the change is to simplify test cases.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/rxin/spark SPARK-18663
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16093.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 #16093
----
commit e21479eb235a0048631c31c3e7391258e9d8d83d
Author: Reynold Xin <r...@databricks.com>
Date: 2016-12-01T02:27:44Z
[SPARK-18663][SQL] Simplify CountMinSketch aggregate implementation
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