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https://issues.apache.org/jira/browse/SPARK-60009?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-60009:
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Labels: pull-request-available (was: )
> Arrow-backed pandas columns ignore the requested Arrow type in
> pandas-to-Arrow conversion
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-60009
> URL: https://issues.apache.org/jira/browse/SPARK-60009
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.4.0
> Reporter: Fangchen Li
> Priority: Major
> Labels: pull-request-available
>
> pandas' ArrowExtensionArray, which backs pd.ArrowDtype and string[pyarrow]
> columns, ignores the requested Arrow type when Spark converts a pandas Series
> with pa.Array.from_pandas. On pyarrow 18, Spark's minimum supported version,
> the result is not cast, so in both createDataFrame from pandas and pandas UDF
> results, a column can reach the JVM with a type that doesn't match the
> schema, for example, int32 data for a LongType field. In pyarrow 19 and
> later, pyarrow casts the result itself, but always with safe=True, so
> createDataFrame ignores spark.sql.execution.pandas.convertToArrowArraySafely
> for these columns.
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