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https://issues.apache.org/jira/browse/SPARK-47466?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17850855#comment-17850855
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Ian Cook commented on SPARK-47466:
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For Connect, see the function {{to_table_as_iterator}} in
{{python/pyspark/sql/connect/client/core.py}}. To return an iterator of
RecordBatches we could add another function similar to that.
For Classic, see the function {{_collect_as_arrow}} in
{{python/pyspark/sql/pandas/conversion.py}}. To return an iterator of
RecordBatches we could add another function similar to that.
> Add PySpark DataFrame method to return iterator of PyArrow RecordBatches
> ------------------------------------------------------------------------
>
> Key: SPARK-47466
> URL: https://issues.apache.org/jira/browse/SPARK-47466
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.5.1
> Reporter: Ian Cook
> Priority: Major
>
> As a follow-up to SPARK-47365:
> {{toArrow()}} is useful when the data is relatively small. For larger data,
> the best way to return the contents of a PySpark DataFrame in Arrow format is
> to return an iterator of [PyArrow
> RecordBatches|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html].
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