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https://issues.apache.org/jira/browse/ARROW-15019?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17458885#comment-17458885
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Vibhatha Lakmal Abeykoon commented on ARROW-15019:
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Also it seems `min_rows_per_group` and `max_rows_per_group` would be required
to write these test cases. The C++ test case shows that. Without this parameter
we may run into issues like
`pyarrow.lib.ArrowInvalid: max_rows_per_group must be less than or equal to
max_rows_per_file{*}`{*}
Should we add a separate PR to expose these attributes to Python or should we
do within the same PR?
> [Python] Add bindings for new dataset writing options
> -----------------------------------------------------
>
> Key: ARROW-15019
> URL: https://issues.apache.org/jira/browse/ARROW-15019
> Project: Apache Arrow
> Issue Type: Sub-task
> Components: Python
> Reporter: Vibhatha Lakmal Abeykoon
> Assignee: Vibhatha Lakmal Abeykoon
> Priority: Major
> Labels: dataset, pull-request-available
> Fix For: 7.0.0
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> Added a subtask to separate the work on Python bindings
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