GitHub user wangyang1992 opened a pull request:
https://github.com/apache/spark/pull/13169
[SPARK-15379][SQL] check special invalid date
## What changes were proposed in this pull request?
When invalid date string like "2015-02-29 00:00:00" are cast as date or
timestamp using spark sql, it used to not return null but another valid date
(2015-03-01 in this case).
In this pr, invalid date string like "2016-02-29" and "2016-04-31" are
returned as null when cast as date or timestamp.
## How was this patch tested?
Unit tests are added.
(If this patch involves UI changes, please attach a screenshot; otherwise,
remove this)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/wangyang1992/spark invalid_date
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13169.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 #13169
----
commit ef73d79bacc2eab8cbead7aa8991b4ec7de3b862
Author: wangyang <[email protected]>
Date: 2016-05-18T10:04:14Z
check special invalid date
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