The SQL standard is unfortunately really horrible when it comes to handling of time. The type `timestamp` is not a timestamp at all because it doesn't encode a unique point in time, it just stores a date and a time which has to be interpreted relative to a timezone. It should be called "datetime".
Moving a Java Instant back and forth between a database is also a surprisingly difficult task to do right, and it doesn't help that JDBC is just handling it completely wrong if you use its setTimestamp/getTimestamp methods. Not because it is a bad design with footguns, but because the implementation is just plain wrong and will corrupt your data if you deal with instants whose calendar date is far enough in the past due to it using the legacy date/time API which switches to the Gregorian calendar for dates in the past.
The name `timestamp with time zone` is also misleading because it doesn't actually store a time zone, it stores the number of seconds since epoch like a java.time.Instant (although at a different resolution). The "with time zone" part just refers to the textual format you denote the values in which includes the time zone after the date/time part to uniquely identify a timestamp, but the time zone is thrown away and not stored after the value has been parsed. This is different from e.g. `ZonedDateTime` in Java which will actually store the offset and therefore corresponds to a pair of (Instant, TimeZone).
A ZonedDateTime is not an instant and a timezone, for the same reason that you can’t unambiguously round trip between arbitrary timezones and UTC:
- zoned datetimes carry ambiguities as to their actual location on the timeline (because they can repeat, or not exist at all)
- future zoned datetime carry outright uncertainty as to their actual location on the timeline (as the zone’s offset can be updated at any point and any number of times until the event has elapsed)
Relational databases have exactly 1 type that corresponds to modern data-handling practices: timestamp with time zone, that stores a timestamp. There is no good way to store any other modern type, and the 1980s practices on time handling weren't actually very good.
I'd say relational databases (in the sense of standard SQL) have 0 types that correspond to modern data-handling practices: timestamp with timezone stores an instant but lies about it and implicitly gets converted from and to the connection-local timezone.
That's what happens in pgjdbc by default. In binary transfer format int64 microseconds since '2000-01-01 00:00Z' gets sent over the wire regardless off connection timezone setting.
ulrikrasmussen · · focus · HN ↗
Moving a Java Instant back and forth between a database is also a surprisingly difficult task to do right, and it doesn't help that JDBC is just handling it completely wrong if you use its setTimestamp/getTimestamp methods. Not because it is a bad design with footguns, but because the implementation is just plain wrong and will corrupt your data if you deal with instants whose calendar date is far enough in the past due to it using the legacy date/time API which switches to the Gregorian calendar for dates in the past.
The name `timestamp with time zone` is also misleading because it doesn't actually store a time zone, it stores the number of seconds since epoch like a java.time.Instant (although at a different resolution). The "with time zone" part just refers to the textual format you denote the values in which includes the time zone after the date/time part to uniquely identify a timestamp, but the time zone is thrown away and not stored after the value has been parsed. This is different from e.g. `ZonedDateTime` in Java which will actually store the offset and therefore corresponds to a pair of (Instant, TimeZone).
masklinn · · focus · HN ↗
- zoned datetimes carry ambiguities as to their actual location on the timeline (because they can repeat, or not exist at all)
- future zoned datetime carry outright uncertainty as to their actual location on the timeline (as the zone’s offset can be updated at any point and any number of times until the event has elapsed)
marcosdumay · · focus · HN ↗
Relational databases have exactly 1 type that corresponds to modern data-handling practices: timestamp with time zone, that stores a timestamp. There is no good way to store any other modern type, and the 1980s practices on time handling weren't actually very good.
masklinn · · focus · HN ↗
ulrikrasmussen · · focus · HN ↗
ants_a · · focus · HN ↗