Add compression_level support to ParquetWriterOptions and enhance write_parquet to accept full options object#1169
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timsaucer merged 5 commits intoapache:mainfrom Jun 25, 2025
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timsaucer
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Jun 24, 2025
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| def write_parquet( | ||
| self, | ||
| path: str | pathlib.Path, | ||
| compression: Union[str, Compression] = Compression.ZSTD, | ||
| compression: Union[str, Compression, ParquetWriterOptions] = Compression.ZSTD, | ||
| compression_level: int | None = None, | ||
| ) -> None: | ||
| """Execute the :py:class:`DataFrame` and write the results to a Parquet file. |
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This change is nice. I think it would be a little better for type hinting in IDEs if we overload the method signatures.
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I'll add the overload.
timsaucer
approved these changes
Jun 25, 2025
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Which issue does this PR close?
Rationale for this change
This change enhances the flexibility of the Parquet writing process by allowing users to specify both compression type and compression level through a unified
ParquetWriterOptionsobject. It also prevents conflicting configurations when options are explicitly passed.What changes are included in this PR?
compression_levelparameter toParquetWriterOptions.DataFrame.write_parquet()to accept aParquetWriterOptionsobject.compression_levelwhen using a full options object.test_write_parquet_options: Verifies functionality with custom compression and level.test_write_parquet_options_error: Ensures proper error is raised for misconfiguration.Are these changes tested?
Yes, two new tests have been added:
test_write_parquet_options: Confirms Parquet output matches expected data.test_write_parquet_options_error: Validates error handling when conflicting options are provided.Are there any user-facing changes?
Yes:
ParquetWriterOptionsobject directly toDataFrame.write_parquet(), allowing more granular control.ValueErrorwill be raised ifcompression_levelis used with an already configured options object.