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
