[jira] [Resolved] (ARROW-15286) [Python] pyarrow.dataset.FileSystemDataset.take method causes Segmentation Fault

["Antoine Pitrou (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-15286?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Antoine Pitrou resolved ARROW-15286.
------------------------------------
    Resolution: Fixed

Issue resolved by pull request 12115
[https://github.com/apache/arrow/pull/12115]

> [Python] pyarrow.dataset.FileSystemDataset.take method causes Segmentation Fault
> --------------------------------------------------------------------------------
>
>                 Key: ARROW-15286
>                 URL: https://issues.apache.org/jira/browse/ARROW-15286
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 5.0.0, 6.0.0, 6.0.1
>         Environment: Ubuntu 18.04, Python 3.8.6; macOS 11.6.2, Python 3.7.5
>            Reporter: Dustin Zubke
>            Assignee: Joris Van den Bossche
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 7.0.0
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Whenever I try calling the `pyarrow.dataset.FileSystemDataset.take` method, I get a segmentation fault. 
> I first encountered this using a proprietary dataset and recreated it with the UC Davis data below. I can successfully run the pyarrow.dataset.FileSystemDataset.to_batches method but not the take() method.  
> Steps to recreate:
> {code:java}
> !wget https://anson.ucdavis.edu/~clarkf/pems_parquet.zip
> !unzip -q pems_parquet.zip
> import pyarrow.dataset as ds
> file_path= "./pems_sorted/station=402264/part-r-00151-ddaee723-f3f6-4f25-a34b-3312172aa6d7.snappy.parquet"
> dataset = ds.dataset(file_path)
> dataset.take(1)
> >>> 80874 segmentation fault
> {code}
> Creating a dataset from a directory as below also results in a segfault.
> {code:java}
> dir_path = "./pems_sorted/station=402264"
> dataset = ds.dataset(dir_path)
> dataset.take(1)
> {code}
> Environments tried:
>  * Ubuntu 18.04, Python 3.8.6
>  * macOS 11.6.2, Python 3.7.5



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