[jira] [Updated] (ARROW-10264) [C++][Python] Parquet test failing with HadoopFileSystem URI

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-10264?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated ARROW-10264:
-----------------------------------
    Labels: filesystem hdfs pull-request-available  (was: filesystem hdfs)

> [C++][Python] Parquet test failing with HadoopFileSystem URI
> ------------------------------------------------------------
>
>                 Key: ARROW-10264
>                 URL: https://issues.apache.org/jira/browse/ARROW-10264
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>            Reporter: Joris Van den Bossche
>            Priority: Major
>              Labels: filesystem, hdfs, pull-request-available
>             Fix For: 3.0.0
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Follow-up on ARROW-10175. In the HDFS integration tests, there is a test using a URI failing if we use the new filesystem / dataset implementation:
> {code}
> FAILED opt/conda/envs/arrow/lib/python3.7/site-packages/pyarrow/tests/test_hdfs.py::TestLibHdfs::test_read_multiple_parquet_files_with_uri
> {code}
> fails with
> {code}
> pyarrow.lib.ArrowInvalid: Path '/tmp/pyarrow-test-838/multi-parquet-uri-48569714efc74397816722c9c6723191/0.parquet' is not relative to '/user/root'
> {code}
> while it is passing a URI (and not a filesystem object) to {{parquet.read_table}}, and the new filesystems/dataset implementation should be able to handle URIs.
> cc [~apitrou]



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