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https://issues.apache.org/jira/browse/ARROW-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16979242#comment-16979242
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Francois Saint-Jacques commented on ARROW-7224:
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There's a confusion between the new dataset API (in C++) and the existing
ParquetDataset that is purely in python.
> [Python] Partition level filters should be able to provide filtering to file
> systems
> ------------------------------------------------------------------------------------
>
> Key: ARROW-7224
> URL: https://issues.apache.org/jira/browse/ARROW-7224
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Micah Kornfield
> Priority: Major
>
> When providing a filter for partitions, it should be possible in some cases
> to use it to optimize file system list calls. This can greatly improve the
> speed for reading data from partitions because fewer number of
> directories/files need to be explored/expanded. I've fallen behind on the
> dataset code, but I want to make sure this issue is tracked someplace. This
> came up in SO question linked below (feel free to correct my analysis if I
> missed the functionality someplace).
> Reference:
> [https://stackoverflow.com/questions/58868584/pyarrow-parquetdataset-read-is-slow-on-a-hive-partitioned-s3-dataset-despite-u/58951477#58951477]
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