dtenedor opened a new pull request, #45319:
URL: https://github.com/apache/spark/pull/45319
### What changes were proposed in this pull request?
This PR creates an API for 'analyze' method to differentiate constant NULL
arguments and other types of arguments.
### Why are the changes needed?
Before this PR, each `AnalyzeArgument` had a `value` field which was
non-None if the argument was a constant-foldable scalar expression:
```
@dataclass(frozen=True)
class AnalyzeArgument:
"""
The argument for Python UDTF's analyze static method.
Parameters
----------
dataType : :class:`DataType`
The argument's data type
value : any, optional
The calculated value if the argument is foldable; otherwise None
isTable : bool
If True, the argument is a table argument.
"""
dataType: DataType
value: Optional[Any]
isTable: bool
```
However, it was also `None` if the argument is literal NULL.
Now we add a new field to tell the difference:
```
isConstantExpression : bool
If True, the argument is a constant-foldable scalar expression. Then the
'value' field
contains None if the argument is a NULL literal, or a non-None value if
the argument is a
non-NULL literal. In this way, we can distinguish between a literal NULL
argument and other
types of arguments such as complex expression trees or table arguments
where the 'value'
field is always None.
```
### Does this PR introduce _any_ user-facing change?
Yes, see above.
### How was this patch tested?
This PR applies test coverage.
### Was this patch authored or co-authored using generative AI tooling?
No.
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