[jira] [Created] (ARROW-10882) [Python][Dataset] Writing dataset from python iterator of record batches

["Joris Van den Bossche (Jira)" <ji...@apache.org>]

Joris Van den Bossche created ARROW-10882:
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             Summary: [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


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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