[SPARK-55336][PYTHON] Let createDF use create_batch logic for decoupling#54111
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Yicong-Huang wants to merge 2 commits intoapache:masterfrom
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[SPARK-55336][PYTHON] Let createDF use create_batch logic for decoupling#54111Yicong-Huang wants to merge 2 commits intoapache:masterfrom
Yicong-Huang wants to merge 2 commits intoapache:masterfrom
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JIRA Issue Information=== Sub-task SPARK-55336 === This comment was automatically generated by GitHub Actions |
HyukjinKwon
approved these changes
Feb 3, 2026
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Merged to master. |
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What changes were proposed in this pull request?
This PR duplicates the pandas-to-Arrow batch conversion logic in
ArrowStreamPandasSerializerto decouple it.create_arrow_array_from_pandas()- converts a pandas Series to Arrow Arraycreate_arrow_batch_from_pandas()- converts a list of (series, spark_type) tuples to Arrow RecordBatchBoth
_create_from_pandas_with_arrow(classic Spark) andcreateDataFrame(Spark Connect) now use these standalone functions directly withArrowStreamSerializer, instead of depending onArrowStreamPandasSerializer.Why are the changes needed?
For better decoupling. Previously,
createDataFramehad to instantiateArrowStreamPandasSerializerjust to call its_create_batchmethod.Does this PR introduce any user-facing change?
No.
How was this patch tested?
Existing tests.
Was this patch authored or co-authored using generative AI tooling?
No.