[jira] [Updated] (SPARK-18571) pyspark: UTF-8 not written correctly (as CSV) when locale is not UTF-8

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-18571?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-18571:
---------------------------------
    Labels: bulk-closed  (was: )

> pyspark: UTF-8 not written correctly (as CSV) when locale is not UTF-8
> ----------------------------------------------------------------------
>
>                 Key: SPARK-18571
>                 URL: https://issues.apache.org/jira/browse/SPARK-18571
>             Project: Spark
>          Issue Type: Bug
>          Components: Input/Output
>    Affects Versions: 2.0.2
>            Reporter: Adrian Bridgett
>            Priority: Major
>              Labels: bulk-closed
>         Attachments: unicode.py
>
>
> Sample code attached, code run with hadoop 2.7.3, python3.5
> If I run this with --master='local[*]' and LANG=en_US.UTF-8, then in _another_ terminal (which has LANG=en_US.UTF-8 set) cat the file, I see the Pi character I expect.
> Back to the first terminal, set LANG=C (or unset it) and rerun, then check the output in the other terminal (still set to en_US.UTF-8) and it's corrupted.
> I actually noticed this as when I run it with our normal mesos scheduler, the data is corrupted (those boxes do have LANG=en_US.UTF-8 but perhaps it's not being picked up).
> I don't remember needing to do this on Spark-1.6.1 (hadoop-2.7.1).
> Expected characters: 0x80cf
> Received: 0xbfef efbd bdbf



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