Omega359 commented on PR #9689:
URL:
https://github.com/apache/arrow-datafusion/pull/9689#issuecomment-2013215082
I was targeting postgres with this as best as possible vs spark though
null/empty testing was unfortunately not a big focus. I think the previous
behavior (use default) was the spark behaviour - though that wasn't on purpose
on my part.
```
SELECT to_char('1997-02-28 10:30:00'::TIMESTAMP, null);
+-------+
|to_char|
+-------+
|null |
+-------+
```
I knew about the behaviour difference with spark but it's not something that
I can see can be fixed without a flag or dedicated functions per dialect. It
actually affects me directly which I'll handle with preprocessing the formats
to strip null/empty formats.
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