Should I use composite primary keys or not?

Question

There seems to only be 2nd class support for composite database keys in Java\'s JPA (via EmbeddedId or IdClass annotations). And when I read up on composite keys, regardless

Answer 1

In terms of the domain model, I see nothing wrong with creating a composite primary key when the table doesn't represent an entity - i.e. when it represents a join table (as you mention in your question), other than if it is not montonically increasing, then you will get a certain amount of page splits during insertions.

Some ORM's don't cope well with composite primary keys, so perhaps it is safer to create a surrogate auto-integer for the primary key, and cover the columns with a non-clustered index.

Answer 2

It's a religious thing. I use natural keys and shun surrogates. I have no problem with composite keys either in theory or in practice.

Only the most trivial logical model would involve no composite keys. Call me lazy but I see no need to complicate the data model by introducing surrogates into the physical model on implementation. Sure, I'd consider one on a table if performance issues were found but I take the same approach as for denormalization i.e. as a last resort. Habitually using surrogates amounts to premature optimization, IMO.

Answer 3

I think there's no problem using a composite key.

To me the database it's a component on its own, that should be treated the same way we treat code : for instance we want clean code, that communicates clearly its intent, that does one thing and does it well, that doesn't add any uneeded level of complexity, etc.

Same thing with the db, if the PK is composite, this is the reality, so the model should be kept clean and clear. A composite PK it's clearer than the mix auto-increment + constraint. When you see an ID column that does nothing you need to ask what's the real PK, are there any other hidden things that you should be aware of, etc. A clear PK doesn't leave any doubts.

The db is the base of your app, to me we need the most solid base that we can have. On this base we'll build the app ( web or not ). So I can't see why we should bend the db model to conform to some specific in one development tool/framework/language. The data is directing the application, not the other way around. What if the ORM changes in the future and becomes obsolete and a better solution appears that imposes another model ? We can't play with the db model to fit this or that framework, the model should stay the same, it should not depend on what tool we're using to access the data ...

If the db model change in the future, it should change because functionality changed. If we would know today how this functionality will change, we'll be modeling this already. ANd any future change will be dealt with when the time comes, we can't predict for instance the impact on existing data, so one extra column doesn't guarantee that it will withold any future change ...

We should design for today's functionality, and keep the db model the simplest possible, this way it will be easy to change/evolve in the future.

Answer 4

I would only ever use them in join tables. The only way to absolutely ensure that every record identifier is unique and consistent over time is to use a synthetic key.

Composite keys seem OK in theory, which is why they are tempting to use, but practice has shown that they usually indicate that there is a flaw in your data model. Worse still, in many cases they will fail to guarantee uniqueness, given a large enough data set. And data sets always grow over time, so using them may mean that you have planted a bomb in your application which will only explode when the application has been in production use for a while.

I think that people are underplaying ORMs. Every mainstream programming language has a defacto ORM, and has had for years, because they solve the fundamental incompatibility between OO and relational structures. Trying to write any complex, testable OO software against SQL databases without an ORM is very inefficient, at best.

Good ORMs also provide practices and tooling that make it much easier to create and maintain consistent high-quality database schema, so on average, a team will come out well ahead by working with an ORM. Handcrafting schema is rather like writing C++ ...people can do it, but in the real world it is so hard to maintain quality over time that the average product is not good.