allisonwang-db opened a new pull request, #42302:
URL: https://github.com/apache/spark/pull/42302
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### What changes were proposed in this pull request?
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This PR improves error messages when the result of a Python UDTF is not an
Iterable.
### Why are the changes needed?
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To make Python UDTFs more user-friendly.
### Does this PR introduce _any_ user-facing change?
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Yes. For example this UDTF:
```
@udtf(returnType="x: int")
class TestUDTF:
def eval(self, a):
return a
```
Before this PR, it fails with this error for regular UDTFs:
```
return tuple(map(verify_and_convert_result, res))
TypeError: 'int' object is not iterable
```
And this error for arrow-optimized UDTFs:
```
raise ValueError("DataFrame constructor not properly called!")
ValueError: DataFrame constructor not properly called!
```
After this PR, the error message will be:
`pyspark.errors.exceptions.base.PySparkRuntimeError:
[UDTF_RETURN_NOT_ITERABLE] The return value of the UDTF is invalid. It should
be an iterable (e.g., generator or list), but got 'int'. Please make sure that
the UDTF returns one of these types.`
### How was this patch tested?
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