[ https://issues.apache.org/jira/browse/ARROW-10574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Weiyang Zhao updated ARROW-10574: --------------------------------- Description: 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 in 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. was: 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. > [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 > Assignee: Weiyang Zhao > Priority: Major > > 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 in 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. -- This message was sent by Atlassian Jira (v8.3.4#803005)