Yicong-Huang opened a new pull request, #54125:
URL: https://github.com/apache/spark/pull/54125
### What changes were proposed in this pull request?
This PR consolidates pandas-to-Arrow conversion logic by introducing a
centralized `PandasToArrowConversion` class and refactoring serializers to use
it.
**Key changes:**
1. **Introduced `PandasToArrowConversion` class** in `conversion.py` with:
- `dataframe_to_batch()`: Converts `pd.DataFrame` or `List[pd.Series]` to
`pa.RecordBatch`
- `series_to_array()`: Converts `pd.Series` to `pa.Array`
2. **Removed duplicate conversion methods** from serializers:
- Removed all `_create_batch` methods - replaced with
`PandasToArrowConversion.dataframe_to_batch()`
- Removed all `_create_array` methods - replaced with
`PandasToArrowConversion.series_to_array()` or
`ArrowBatchTransformer.cast_array()`
### Why are the changes needed?
Previously, pandas-to-Arrow conversion logic was duplicated across multiple
serializer classes (`ArrowStreamPandasSerializer`,
`ArrowStreamPandasUDFSerializer`, etc.), each implementing their own
`_create_batch` and `_create_array` methods.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Existing tests pass.
### Was this patch authored or co-authored using generative AI tooling?
No.
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