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https://issues.apache.org/jira/browse/ARROW-504?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17657538#comment-17657538
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Rok Mihevc commented on ARROW-504:
----------------------------------
This issue has been migrated to [issue
#16145|https://github.com/apache/arrow/issues/16145] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [Python] Add adapter to write pandas.DataFrame in user-selected chunk size to
> streaming format
> ----------------------------------------------------------------------------------------------
>
> Key: ARROW-504
> URL: https://issues.apache.org/jira/browse/ARROW-504
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Reporter: Wes McKinney
> Assignee: Wes McKinney
> Priority: Major
> Fix For: 0.8.0
>
>
> While we can convert a {{pandas.DataFrame}} to a single (arbitrarily large)
> {{arrow::RecordBatch}}, it is not easy to create multiple small record
> batches -- we could do so in a streaming fashion and immediately write them
> into an {{arrow::io::OutputStream}}.
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