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From rxin <>
Subject [GitHub] spark pull request #13912: [SPARK-16216][SQL] CSV data source supports custo...
Date Tue, 19 Jul 2016 05:54:08 GMT
Github user rxin commented on a diff in the pull request:
    --- Diff: python/pyspark/sql/ ---
    @@ -328,6 +328,10 @@ def csv(self, path, schema=None, sep=None, encoding=None, quote=None,
                                applies to both date type and timestamp type. By default,
it is None
                                which means trying to parse times and date by
                                ``java.sql.Timestamp.valueOf()`` and ``java.sql.Date.valueOf()``.
    +        :param timezone: defines the timezone to be used for both date type and timestamp
    +                         If a timezone is specified in the data, this will load them
    --- End diff --
    Why not just have timezone as part of the dateFormat, so users can specify it?

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