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https://issues.apache.org/jira/browse/SPARK-37124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17434624#comment-17434624
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Apache Spark commented on SPARK-37124:
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User 'xuechendi' has created a pull request for this issue:
https://github.com/apache/spark/pull/34396
> Support Writable ArrowColumnarVector
> ------------------------------------
>
> Key: SPARK-37124
> URL: https://issues.apache.org/jira/browse/SPARK-37124
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Chendi.Xue
> Priority: Major
>
> This Jira is aim to add Arrow format as an alternative for ColumnVector
> solution.
> Current ArrowColumnVector is not fully equivalent to
> OnHeap/OffHeapColumnVector in spark, and since Arrow API is now being more
> stable, and using pandas udf will perform much better than python udf.
> I am proposing to fully support arrow format as an alternative to
> ColumnVector just like the other two.
> What I did in this PR is to create a new class in the same package with
> OnHeap/OffHeapColumnVector and extend from WritableColumnVector to support
> all put APIs.
> UTs are covering all Data Format with testing on writing to columnVector and
> reading from columnVector. I also added 3 UTs for testing on loading from
> ArrowRecordBatch and allocateColumns .
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