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https://issues.apache.org/jira/browse/SPARK-18571?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15691299#comment-15691299
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Adrian Bridgett commented on SPARK-18571:
-----------------------------------------
Note that without the leading integer column I see a different error (perhaps
this may help to identify the problem?)
> 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
> Attachments: unicode.py
>
>
> Sample code attached, code run with hadoop 2.7.3
> 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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