Github user tarekauel commented on the pull request:
https://github.com/apache/spark/pull/6981#issuecomment-120183532
First of all, thanks for your feedback! `Timestamp` was the proposed
datatype in the design document, that Reynold published on Jira
(https://issues.apache.org/jira/browse/SPARK-8864).
I think in order to decide, if we should use `DateType` or `TimestampType`,
we have to think about the usage. If the users will call these methods with
`Date` objects, it's unnecessary to throw the information about the timezone
away and `DateType` would be much better. But I thought that we do the
calculation by approximation in order to avoid creating a date object, e.g. if
someone calls these methods using `Timestamp` or `long`.
For `Date` and `Week` it's true, we should definitely switch to `Date`.
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