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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2018/12/18 18:26:00 UTC

[jira] [Updated] (ARROW-3957) [Python] Better error message when user connects to HDFS cluster with wrong port

     [ https://issues.apache.org/jira/browse/ARROW-3957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney updated ARROW-3957:
--------------------------------
    Summary: [Python] Better error message when user connects to HDFS cluster with wrong port  (was: [Python] pyarrow.hdfs.connect fails silently)

> [Python] Better error message when user connects to HDFS cluster with wrong port
> --------------------------------------------------------------------------------
>
>                 Key: ARROW-3957
>                 URL: https://issues.apache.org/jira/browse/ARROW-3957
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.11.1
>         Environment: centos 7
>            Reporter: Jim Fulton
>            Assignee: Wes McKinney
>            Priority: Major
>              Labels: hdfs
>             Fix For: 0.12.0
>
>
> I'm trying to connect to HDFS using libhdfs and Kerberos.
> I have JAVA_HOME and HADOOP_HOME set and {{pyarrow.hdfs.connect}} sets CLASSPATH correctly.
> My connect call looks like:
> {{import pyarrow.hdfs}}
> {{c = pyarrow.hdfs.connect(host='MYHOST', port=42424,}}
> {{                         user='ME', kerb_ticket="/tmp/krb5cc_498970")}}
> This doesn't error but the resulting connection can't do anything. They either error like this:
> {{ArrowIOError: HDFS list directory failed, errno: 255 (Unknown error 255) }}
> Or swallow errors (e.g. {{exists}} returning {{False}}).
> Note that {{connect}} errors if the host is wrong but doesn't error if the port, user, or kerb_ticket are wrong. I have no idea how to debug this, because no useful errors.
> Note that I _can_ connect using the hdfs Python package. (Of course, that doesn't provide the API I need to read Parquet files.).
> Any help would be appreciated greatly.



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