moskvax opened a new pull request #28743:
URL: https://github.com/apache/spark/pull/28743
### What changes were proposed in this pull request?
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1. Cast pandas DataFrame columns to object before passing to
`pa.Schema.from_pandas`, to avoid a potential failed type check for
`numpy.dtype` which occurs with pyarrow < 0.17.0,
2. Check for the implementation of `__arrow_array__` before passing a mask
to `pa.Array.from_pandas`, which will raise an exception if both
`__arrow_array__` is implemented and a mask is passed in.
### Why are the changes needed?
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These changes allow usage of pandas DataFrames which contain ExtensionDtype
columns that are backed by arrays that implement `__arrow_array__`. DataFrames
containing such columns will be returned when specifying an
ExtensionDtype-extending pandas type in the `dtype` parameter when constructed,
and can also be created via calling `convert_dtypes` on an existing DataFrame.
### Does this PR introduce _any_ user-facing change?
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Yes. Users will be able to convert a wider variety of pandas DataFrames into
Spark DataFrames using any currently released pyarrow version > 0.15.1. Prior
to this fix, the Arrow conversion path would not work with these DataFrames.
### How was this patch tested?
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Tests were added to cover the cases of converting from pandas DataFrames
with `IntegerArray` and `StringArray` backed columns. A typo was also fixed in
a recently added test.
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