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On Thu, Mar 15, 2018 at 8:00 PM, Alan Featherston Lago <alanf...@gmail.com>
wrote:
> I'm a pretty new user of spark and I've run into this issue with the
> pyspark docs:
>
> The functions pyspark.sql.functions.to_date &&
> pyspark.sql.functions.to_timestamp
> behave in the same way. As in both functions convert a Column of
> pyspark.sql.types.StringType or pyspark.sql.types.TimestampType into
> pyspark.sql.types.DateType.
>
> Shouldn't the function `to_timestmap` return pyspark.sql.types.
> TimestampType?
> Also the to_timestamp docs say that "By default, it follows casting rules
> to pyspark.sql.types.TimestampType if the format is omitted (equivalent
> to col.cast("timestamp")). ", which doesn't seem to be right ie:
>
> to_timestamp(current_timestamp()) <> current_timestamp().cast("timestamp")
>
>
> This is wrong right? or am I missing something? (is this due to the
> underlying jvm data types?)
>
>
> Cheers,
> alan
>
