xinrong-meng opened a new pull request, #41503:
URL: https://github.com/apache/spark/pull/41503
### What changes were proposed in this pull request?
Explicit Arrow casting for the mismatched return type of Pandas UDF and
Arrow-optimized Python UDF.
### Why are the changes needed?
A more standardized type coercion.
### Does this PR introduce _any_ user-facing change?
Yes.
FROM
```py
>>> df = spark.createDataFrame(['1', '2'], schema='string')
df.select(pandas_udf(lambda x: x, 'int')('value')).show()
>>> df.select(pandas_udf(lambda x: x, 'int')('value')).show()
...
org.apache.spark.api.python.PythonException: Traceback (most recent call
last):
...
pyarrow.lib.ArrowInvalid: Could not convert '1' with type str: tried to
convert to int32
```
TO
```py
>>> df = spark.createDataFrame(['1', '2'], schema='string')
>>> df.select(pandas_udf(lambda x: x, 'int')('value')).show()
+---------------+
|<lambda>(value)|
+---------------+
| 1|
| 2|
+---------------+
```
### How was this patch tested?
TODO
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