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https://issues.apache.org/jira/browse/ARROW-10882?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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David Li reassigned ARROW-10882:
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Assignee: David Li
> [Python][Dataset] Writing dataset from python iterator of record batches
> ------------------------------------------------------------------------
>
> Key: ARROW-10882
> URL: https://issues.apache.org/jira/browse/ARROW-10882
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Joris Van den Bossche
> Assignee: David Li
> Priority: Major
> Labels: dataset
> Fix For: 4.0.0
>
>
> At the moment, from python you can write a dataset with {{ds.write_dataset}}
> for example starting from a *list* of record batches.
> But this currently needs to be an actual list (or gets converted to a list),
> so an iterator or generated gets fully consumed (potentially bringing the
> record batches in memory), before starting to write.
> We should also be able to use the python iterator itself to back a
> {{RecordBatchIterator}}-like object, that can be consumed while writing the
> batches.
> We already have a {{arrow::py::PyRecordBatchReader}} that might be useful
> here.
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