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https://issues.apache.org/jira/browse/ARROW-12790?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Antoine Pitrou resolved ARROW-12790.
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Fix Version/s: 5.0.0
Resolution: Fixed
Issue resolved by pull request 10574
[https://github.com/apache/arrow/pull/10574]
> [Python] Cannot read from HDFS with blanks in path names
> --------------------------------------------------------
>
> Key: ARROW-12790
> URL: https://issues.apache.org/jira/browse/ARROW-12790
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Python
> Affects Versions: 4.0.0
> Reporter: Armin Müller
> Assignee: Antoine Pitrou
> Priority: Major
> Labels: filesystem, hdfs, pull-request-available
> Fix For: 5.0.0
>
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> I have a Hadoop FS with blanks in path and filenames.
> Running this
> {{hdfs = fs.HadoopFileSystem('namenode', 8020)}}
> {{files = hdfs.get_file_info(fs.FileSelector("/", recursive=True))}}
> throws a
> {{pyarrow.lib.ArrowInvalid: Cannot parse URI: 'hdfs://namenode:8020/data/Path
> with Blank'}}
> How can I avoid that?
> Strangely enough, reading a file with
> {{hdfs.open_input_file(csv_file)}}
> works just fine regardless of the blanks?
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