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Posted to issues@spark.apache.org by "Navya Krishnappa (JIRA)" <ji...@apache.org> on 2017/03/30 05:25:41 UTC

[jira] [Created] (SPARK-20152) Time zone is not respected while parsing csv for timeStampFormat "MM-dd-yyyy'T'HH:mm:ss.SSSZZ"

Navya Krishnappa created SPARK-20152:
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             Summary: Time zone is not respected while parsing csv for timeStampFormat "MM-dd-yyyy'T'HH:mm:ss.SSSZZ"
                 Key: SPARK-20152
                 URL: https://issues.apache.org/jira/browse/SPARK-20152
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.1.0
            Reporter: Navya Krishnappa


When reading the below mentioned time value by specifying the "timestampFormat": "MM-dd-yyyy'T'HH:mm:ss.SSSZZ", time zone is ignored.

Sample data: 
TimeColumn
03-21-2017T03:30:02Z


Result: TimeColumn [ StringType] and value is "03-21-2017T03:30:02Z"

Expected Result: TimeCoumn should be of "TimestampType" 



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