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https://issues.apache.org/jira/browse/SPARK-60725?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-60725.
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Fix Version/s: 4.4.0
Resolution: Fixed
Issue resolved by pull request 59933
[https://github.com/apache/spark/pull/59933]
> Write the columnar batches of a query to native data sources without
> converting them to rows
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-60725
> URL: https://issues.apache.org/jira/browse/SPARK-60725
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 4.4.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.4.0
>
>
> A follow-up to SPARK-60101 (https://github.com/apache/spark/pull/59424). When
> the query of a batch or micro-batch write to a native data source produces
> columnar batches, such as a scan of a native data source, Spark converts them
> to rows with ColumnarToRowExec, and the data writer converts the rows back to
> Arrow. Instead, the data writers should take the batches, copying their Arrow
> buffers, or converting their other columns to Arrow value by value.
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