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Posted to jira@arrow.apache.org by "Weiyang Zhao (Jira)" <ji...@apache.org> on 2020/11/24 00:15:00 UTC
[jira] [Updated] (ARROW-10574) [Python][Parquet] Enhance hive
partition filtering for 'in', 'not in'
[ https://issues.apache.org/jira/browse/ARROW-10574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Weiyang Zhao updated ARROW-10574:
---------------------------------
Summary: [Python][Parquet] Enhance hive partition filtering for 'in', 'not in' (was: [Python][Parquet] Enhance hive partition filtering)
> [Python][Parquet] Enhance hive partition filtering for 'in', 'not in'
> ---------------------------------------------------------------------
>
> Key: ARROW-10574
> URL: https://issues.apache.org/jira/browse/ARROW-10574
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Weiyang Zhao
> Assignee: Weiyang Zhao
> Priority: Major
> Labels: pull-request-available
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> I would like to enhance partition filters in methods such as:
> {{pyarrow.parquet.ParquetDataset(path, filters)}}
> I am proposing the below enhancements:
> # for operator "in", "not in", the value should be any typing.Iteratable (also a container). But currently only set is supported while other iteratable, such as list, tuple cannot function correctly. I would like to change it to accept any iteratable.
> # Enhance the documents about the partition filters.
> I see there is a new version implemented with
> _ParquetDatasetV2 which already accepts an iterable. So the documentation update is fine for the new version as well.
>
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