Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/15513
Thanks @gatorsmile. Just FYI, I would like to note the rule I used for
argument types (just to avoid extra efforts when you review).
As we all know, I did not mention implicit casting as suggested. So, I kind
of tired the best efforts to describe this by using the abstract terms for
types such as `numeric` or `integral` which are borrowed from the actual class
names such as `NumericType` or `IntegralType` where possible. When it is not
possible, I noted the original type as each function requires.
For example, If a function takes `integer literal` as the argument but
allows implicit casting,
I noted it as `numeric literal` because other numeric literals such as
`1BD`, `1.0`, `1` and `1L` are allowed (but note that string literal `"1"` is
also allowed).
Another reason why I used this rule is, for the potential documentation
update to mention implicit casting in the future. For example,
```
a numeric expression.
```
would be easily updated as below:
```
a numeric expression and any non-numeric types that can be implicitly
casted to a numeric expression.
```
Another example would be..
```
a timestamp expression.
```
would be easily updated as below:
```
a timestamp expression and any types that can be implicitly casted to a
timestamp expression.
```
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