GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/11579
[SPARK-12727][SQL] support SQL generation for aggregate with multi-distinct
## What changes were proposed in this pull request?
This PR add SQL generation support for aggregate with multi-distinct, by
simply moving the `DistinctAggregationRewriter` rule to optimizer.
More discussions are needed as this breaks an import contract: analyzed
plan should be able to run without optimization. However, the
`ComputeCurrentTime` rule has kind of broken it already, and I think maybe we
should add a new phase for this kind of rules, because strictly speaking they
don't belong to analysis and is coupled with the physical plan implementation.
## How was this patch tested?
existing tests
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cloud-fan/spark distinct
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11579.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 #11579
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commit 1735be094527ff965cbfe7524111782580e971bc
Author: Wenchen Fan <[email protected]>
Date: 2016-03-08T14:05:01Z
support SQL generation for aggregate with multi-distinct
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