[jira] [Created] (ARROW-10574) [Python][Parquet] Enhance hive partition filtering

["Weiyang Zhao (Jira)" <ji...@apache.org>]

Weiyang Zhao created ARROW-10574:
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             Summary: [Python][Parquet] Enhance hive partition filtering
                 Key: ARROW-10574
                 URL: https://issues.apache.org/jira/browse/ARROW-10574
             Project: Apache Arrow
          Issue Type: Improvement
          Components: Python
            Reporter: Weiyang Zhao


I would like to enhance partition filters in methods such as:

{{pyarrow.parquet.ParquetDataset(path, filters)}}

I am proposing two enhancements:
 # for operator "in", "not in", the value currently must be a set. My experience is that if I passed in a list, it will simply not result any values without good warning. I would like to change it to accept any Iterable, which includes set, list, tuple and etc. but not strings. Internally I will construct a set from the Iterable to avoid duplicate elements.
 # I would like to add a 'like' operator which has a semantics of a sql like. Alternatively, a regular expression can be used. I prefer sql like semantics for reasons to achieve sql consistency. 

I have already made the changes and test cases locally. Once this is approved, I can submit it.

 

Thank you.



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