GitHub user windpiger opened a pull request:
https://github.com/apache/spark/pull/16870
[SPARK-19496][SQL]to_date udf to return null when input date is invalid
## What changes were proposed in this pull request?
Currently the udf `to_date` has different return value with an invalid
date input.
```
SELECT to_date('2015-07-22', 'yyyy-dd-MM') -> return `2016-10-07`
SELECT to_date('2014-31-12') -> return null
```
As discussed in JIRA
[SPARK-19496](https://issues.apache.org/jira/browse/SPARK-19496), we should
return null in both situations when the input date is invalid
## How was this patch tested?
unit test added
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/windpiger/spark to_date
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16870.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 #16870
----
commit 24c99fa4c0ddcdbd852b8d5354aaff43fa198477
Author: windpiger <song...@outlook.com>
Date: 2017-02-09T09:58:17Z
[SPARK-19496][SQL]to_date udf to return null when input date is invalid
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