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https://issues.apache.org/jira/browse/DRILL-4566?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15218852#comment-15218852
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ASF GitHub Bot commented on DRILL-4566:
---------------------------------------
GitHub user StevenMPhillips opened a pull request:
https://github.com/apache/drill/pull/456
DRILL-4566: TDigest, median, and quantile functions
Adds tdigest, tdigest_merge, median, and quantile UDFS
Adds reduce aggregates rule to reduce:
median(x) -> tdigest_median(tdigest(x))
quantile(q, x) -> tdigest_quantile(q, tdigest(x))
Adds two-phase aggregate rule for tdigest
Also adds ability to specify tolerances in the TestBuilder
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/StevenMPhillips/drill drill-4566
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/drill/pull/456.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 #456
----
commit b6a90053c7451d92b15807ba50057f5790985efc
Author: Steven Phillips <ste...@dremio.com>
Date: 2016-03-30T01:55:26Z
DRILL-4566: TDigest, median, and quantile functions
Adds tdigest, tdigest_merge, median, and quantile UDFS
Adds reduce aggregates rule to reduce:
median(x) -> tdigest_median(tdigest(x))
quantile(q, x) -> tdigest_quantile(q, tdigest(x))
Adds two-phase aggregate rule for tdigest
----
> Add TDigest functions for computing median and quantile
> -------------------------------------------------------
>
> Key: DRILL-4566
> URL: https://issues.apache.org/jira/browse/DRILL-4566
> Project: Apache Drill
> Issue Type: New Feature
> Reporter: Steven Phillips
> Assignee: Steven Phillips
>
> The tdigest library can be used by Drill to compute approximate value and
> percentiles with using too much memory or spilling to disk, which would be
> required to compute exactly.
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