In a junction table, should I use a Primary key and a unique constraint, or a compound/composite key?

This is something I've always remembered from my database course way back in college. We were covering the section from the textbook on "Entity Design" and it was talking about junction tables... we called them intersect tables or intersection relations. I was actually paying attention in class that day. The professor said that, in his experience, a many-to-many junction table almost always indicates an unidentified missing entity. These entities almost always end up with data of their own.

We were given an example of Student and Course entities. For a student to take a course, you need to junction between those two. What you actually have as a result is a new entity: an Enrollment. The additional data in this case would be things like Credit Type (audit vs regular) or Final Grade.

I remember that advice to this day... but I don't always follow it. What I will do in this situation is stop, and make sure to go back to the stakeholders on the issue and work with them on what data points we might still be missing in this junction. If we really can't find anything, then I'll use the compound key. When we do find data, we think of a better name and it gets a surrogate key.

Update in 2020
I still have the textbook, and by amazing coincidence both it and this question were brought to my attention within a few hours of each other. So for the curious, it was Chapter 5, section 6, of the 7th edition of this book:

https://www.amazon.com/Database-Processing-Fundamentals-Design-Implementation-dp-9332549958/dp/9332549958/


As a staunch proponent of, and proselytizer for, the benefits of surrogate keys, I none-the-less make an exception for all-key join tables such as your first example. One of the benefits of surrogate keys is that engines are generally optimized for joining on single integer fields, as the default and most common circumstance.

Your first proposal still obtains this benefit, but also has a 50% greater fan-put on each index level, reducing both the overall size and height of the indices on the join table. Although the performance benefits of this are likely negligible for anything smaller than a massive table it is best practice and comes at no cost.

When I might opt for the other design is if the relation were to accrue additional columns. At that point it is no longer strictly a join table.


Using composite key would be my choice too. Here's why:

Less storage overhead

Let's say you would use a surrogate key. Since you'd probably gonna want to query all authors for a specific book and vica versa you'd need indexes starting with both BookId and AuthorId. For performance reasons you should include the other column in both indexes to prevent a clustered key lookup. You'd probably would want to make one of them a unique to make sure no duplicate BookId/AuthorId combinations are added to the table.

So as a net result:

  • The data is stored 3 times instead of 2 times
  • 2 unique constraints are to be validated instead of 1

Querying a junction table referencing table

Even if you'd add a table like Contributions (AuthorId, BookId, ...) referencing the junction table. Most queries won't require the junction table to be touched at all. E.g.: to find all contribution of a specific author would only involve the author and contributions tables.