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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/01/26 13:57:24 UTC

[jira] [Commented] (SPARK-18579) spark-csv strips whitespace (pyspark)

    [ https://issues.apache.org/jira/browse/SPARK-18579?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15839704#comment-15839704 ] 

Hyukjin Kwon commented on SPARK-18579:
--------------------------------------

Can we just strip them within the dataframe/dataset? Available options for read/write are well documented. IMHO, we should not just add options/APIs just for consistency.

> spark-csv strips whitespace (pyspark) 
> --------------------------------------
>
>                 Key: SPARK-18579
>                 URL: https://issues.apache.org/jira/browse/SPARK-18579
>             Project: Spark
>          Issue Type: Bug
>          Components: Input/Output
>    Affects Versions: 2.0.2
>            Reporter: Adrian Bridgett
>            Priority: Minor
>
> ignoreLeadingWhiteSpace and ignoreTrailingWhiteSpace are supported on CSV reader (and defaults to false).
> However these are not supported options on the CSV writer and so the library defaults take place which strips the whitespace.
> I think it would make the most sense if the writer semantics matched the reader (and did not alter the data) however this would be a change in behaviour.  In any case it'd be great to have the _option_ to strip or not.



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