supports a variety of date-time formats, each of which has additional variations to it.
Supported Date Ranges:
NOTE: The supported date ranges can be modified if needed. For more information, see Configure Application Limits.
You can use dates in the Gregorian calendar system only. Dates in the Julian calendar are not supported.
You can use the following format strings to change the format of a column of dates:
|Letter||Date or Time Component||Presentation||Examples|
|M||Month in year||Number||1|
|MM||Month in year||Number||01|
|MMMM||Month in year||Month||January|
|MMM||Month in year||Month||Jan|
|D||Day in year||Number||352|
|d||Day in month||Number||9|
|dd||Day in a month||Number||09|
|EEE||Day in week (three-letter abbreviation)||Text||Wed|
|EEEE||Day in week||Text||Wednesday|
Hour in day (1-12)
Hour in am/pm (01-12)
|H||Hour in day (1-12)||Number||2|
|HH||Hour in day (0-23)||Number||20|
|m||Minute in an hour||Number||9|
|Minute in an hour||Number||09|
|s||Second in a minute||Number||3|
|ss||Second in a minute||Number||03|
|X||Time zone||ISO 8601 time zone|
NOTE: When publishing to relational targets, Datetime values are written as date/time values in newly created tables. If you are appending to a relational table column that is in timestamp format, Datetime values can be written as timestamps.
Tip: If your DateTime column contains data in multiple formats, you must change the format of the DateTime column to one format and then add a transform to convert that data to the other format. When all formats of your source date values are converted to a single format, the application should infer the appropriate date and time format.
ISO 8601 Time Zone Notes:
Support for timezone offset from UTC indicated by +hh:mm, +hhmm, or +hh. For example, the date '2013-11-18 11:55-04:00' is recognized as a DateTime value.
For more information on supported date formatting strings, see DATEFORMAT Function.
Datetime data typing involves the basic type definition, plus any supported formatting options. Depending on where the job is executed, there may be variation in how the Datetime data type is interpreted.
Some running environments may perform additional inference on the typing.
NOTE: During job execution on Spark, inputs of Datetime data type may result in row values being inferred for data type individually. For example, the String value