ueshin commented on code in PR #42310:
URL: https://github.com/apache/spark/pull/42310#discussion_r1283564923
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python/pyspark/sql/pandas/types.py:
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@@ -781,28 +785,51 @@ def correct_timestamp(pser: pd.Series) -> pd.Series:
def _converter(dt: DataType) -> Optional[Callable[[Any], Any]]:
if isinstance(dt, ArrayType):
- _element_conv = _converter(dt.elementType)
- if _element_conv is None:
- return None
+ _element_conv = _converter(dt.elementType) or (lambda x: x)
Review Comment:
`_converter(dt.elementType)` will return `None` when any conversion is
needed for the type, `elementType` in this case.
Now we check the given value is `Iterable` or not and always try to convert
for array type, too, so just use `lambda x: x` for the case.
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