Movie database relationships

@finlamit You’ve described your relationships. So model them as such.

There are two belongs-to-many relations: actors belong to many movies, as well as belonging to many clips. So you’d need two pivots tables: actor_movie and actor_clip.

For the actor_movie table, I’d add a nullable column to store an alternative name in case the actor was credited under a different name. For example, Elliot Page was in X-Men: The Last Stand, but credited as “Ellen Page”.

You’d also have an actor_clip table to record the actors appearing in a particular clip, as the entire movie’s cast won’t be in every clip; you need to record the specific actors in each clip.

Also a few past post on movie relations, one is:

https://laracasts.com/discuss/channels/eloquent/when-do-i-need-a-pivot-table

But there are more post as well with some good ideas.

Since each Clip always belongs to one Movie, keeping a movie_id column directly on the clips table is the cleanest and most predictable approach. Then, because Clips can feature multiple Actors, and Actors can appear in multiple Clips, the actor_clip pivot table is the correct way to map those many-to-many connections.

So in practice you end up with:

movies ↔ actors (many-to-many through a movie_actor pivot)

movies → clips (one-to-many via movie_id)

actors ↔ clips (many-to-many through actor_clip)

With this setup you don’t actually need hasManyThrough at all. That relationship type is mainly useful when the chain is strictly linear (A → B → C), but in your case the Clip <→ Actor link is many-to-many, so a pivot is the right tool.

From there, displaying things becomes straightforward:

On a Movie page: load its Actors, then for each Actor, filter that Actor’s Clips to the ones tied to the current Movie.

On an Actor page: load their Movies, then filter Clips by the Movie you’re looping through.

You can easily structure your queries so the pages load efficiently, and you’re not fighting the framework.

If you had a reference URL you were modelling after, I’d say this layout would match most standard database patterns used in similar setups.

Thanks its a great and best post.

Each movie can feature multiple actors, and each actor can appear in multiple movies, which is handled through a junction table. Similarly, clips are tied to a single movie (one-to-many), but each clip can include multiple actors, and actors can appear in multiple clips—requiring another junction table. This structure keeps the database normalized, avoids duplication, and makes it flexible for querying—especially useful if you’re organizing or streaming content through platforms like, where you may want to filter or browse media by actor, movie, or even specific scenes.....