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Posted to reviews@spark.apache.org by mgaido91 <gi...@git.apache.org> on 2018/09/05 16:12:15 UTC
[GitHub] spark pull request #20999: [WIP][SPARK-23866][SQL] Support partition filters...
GitHub user mgaido91 reopened a pull request:
https://github.com/apache/spark/pull/20999
[WIP][SPARK-23866][SQL] Support partition filters in ALTER TABLE DROP PARTITION
## What changes were proposed in this pull request?
Hive has been supporting for a while the ability of dropping partitions using any kind of comparison operator on them. Spark so far is supporting only dropping partitions by exact values. For instance, Spark doesn't support:
```
ALTER TABLE mytable DROP PARTITION(mydate < '2018-04-06')
```
The PR adds the support to this syntax too.
## How was this patch tested?
UTs to be added
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/mgaido91/spark SPARK-23866
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/20999.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 #20999
----
commit b57a5d1797dbe206aeb0a4d2a24ccd0c73845dc8
Author: Marco Gaido <ma...@...>
Date: 2018-04-05T15:35:19Z
[WIP][SPARK-23866][SQL] Support partition filters in ALTER TABLE DROP PARTITION
commit 148f47742cae892260c46f9ffa97bb2d0422701d
Author: Marco Gaido <ma...@...>
Date: 2018-09-05T16:11:38Z
adding UT from SPARK-14922 by DazhuangSu
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