BryanCutler commented on a change in pull request #28743:
URL: https://github.com/apache/spark/pull/28743#discussion_r438466149
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File path: python/pyspark/sql/pandas/conversion.py
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@@ -394,10 +394,11 @@ def _create_from_pandas_with_arrow(self, pdf, schema,
timezone):
# Create the Spark schema from list of names passed in with Arrow types
if isinstance(schema, (list, tuple)):
- arrow_schema = pa.Schema.from_pandas(pdf, preserve_index=False)
+ inferred_types = [pa.infer_type(s, mask=s.isna(), from_pandas=True)
Review comment:
`pa.Schema.from_pandas` will return a type that is a subclass of
`pa.ExtensionType`. From that instance, there is a `storage_type` that is
defined, which could then be checked as a Spark supported type. Assuming the
Pandas extension array implemented `__arrow_array__`, which is recommended, see
https://arrow.apache.org/docs/python/extending_types.html#controlling-conversion-to-pyarrow-array-with-the-arrow-array-protocol.
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