Hyukjin Kwon created SPARK-60725:
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             Summary: 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: 5.0.0
            Reporter: Hyukjin Kwon


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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