GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/21723
[SPARK-24673][SQL][PYTHON][FOLLOWUP] Support column types in timezone of
to_utc_timestamp
## What changes were proposed in this pull request?
This pr supported column types in timezone of `to_utc_timestamp` (follow-up
of #21693).
## How was this patch tested?
Manually checked;
```
>>> df = sc.parallelize([('2017-07-14 02:40:00.0', 'JST'), ('2017-07-14
02:40:00.0', 'PST')]).toDF(['ts', 'tz'])
>>> df.select(to_utc_timestamp(df['ts'], lit('JST'))).show()
+-------------------------+
|to_utc_timestamp(ts, JST)|
+-------------------------+
| 2017-07-13 17:40:00|
| 2017-07-13 17:40:00|
+-------------------------+
>>> df.select(to_utc_timestamp(df['ts'], lit('PST'))).show()
+-------------------------+
|to_utc_timestamp(ts, PST)|
+-------------------------+
| 2017-07-14 09:40:00|
| 2017-07-14 09:40:00|
+-------------------------+
>>> df.select(to_utc_timestamp(df['ts'], df['tz'])).show()
+------------------------+
|to_utc_timestamp(ts, tz)|
+------------------------+
| 2017-07-13 17:40:00|
| 2017-07-14 09:40:00|
+------------------------+
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/maropu/spark SPARK-24673-FOLLOWUP
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/21723.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 #21723
----
commit dfb5312819957938f7be2510035bd2755c4b222a
Author: Takeshi Yamamuro <yamamuro@...>
Date: 2018-07-06T06:19:28Z
Fix
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