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https://issues.apache.org/jira/browse/SPARK-55294?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18078790#comment-18078790
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Adith commented on SPARK-55294:
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Hi, I would like to work on this issue
> Support pyarrow based data types
> --------------------------------
>
> Key: SPARK-55294
> URL: https://issues.apache.org/jira/browse/SPARK-55294
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.2.0
> Reporter: Tian Gao
> Priority: Major
>
> Pandas 3 supports pyarrow based data types like `bool[pyarrow]`. We have no
> code to work with it. The problem is if `pyarrow` is installed, `string` type
> will automatically use pyarrow backend, which means the operations between
> `string` types will result in pyarrow dtypes. e.g. if we compare two string
> series, the result would be a `bool[pyarrow]` series.
> We need some extra work to make this happen. We probable need to add more
> arguments to `InternalField.from_struct_field` so pyspark knows if it should
> convert the data back to a pyarrow based format.
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