this post was submitted on 16 Jun 2024
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Programming
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I find real-world examples help grasp concepts for me. I'll use an example like a video platform (like Youtube) as an example for this:
One-to-one: for each one User, you maybe only allow one [content] Channel (or, could be one-or-none, meaning a User may have one Channel, or may use use their User account to be a viewer and have no Channel. You might decide to change this later to be one-to-many, but for the example let's say you don't). All the data could be stored just on the User entity, but maybe you decided to separate it into two tables so you don't need to query the User entity which has sensitive info like a password, email, or physical address, when you just need a Channel. For each Channel, there is a foreign key pointing to the (owning_)user_id, and this is "unique", so no duplicate id's can exist in this column.
One-to-many (or Many-to-one): for each one Channel, there may be many Videos. You could use a relational table (channel_x_video), but this isn't necessary. You can just store the (owning_)channel_id on the Video, and it will not be unique like the prior example, since a Channel will have many Videos, and many Videos belong to one Channel. The only real difference between "one-to-many" and "many-to-one" is semantic - the direction you look at it.
Many-to-many: many Users will watch many Videos. Maybe for saving whether a Video was watched by a User, you store it on a table (by the way, this example might not be the best example, but I was struggling to find a good example for many-to-many to fit the theme). Although each video-to-user relation may be one-to-one, many Videos will be watched by one User, and many Users will watch one Video. This would be not possible to store on both the Video or the User tables, so you will need a relational table (video_x_user, or include "watched" in the table name for clarity of purpose). The id column of each row is irrelevant, but each entry will need to store the video_id and the user_id (and neither will be unique), as well as maybe the percent watched as a float, the datetime it was watched, etc. Many-to-many relationships get very complicated often, so should be used carefully, especially when duplicate combinations of a_x_b can occur (here, we shouldn't store a new row when a user watches a video a second time)
Another Many-to-many example within this usecase would be "subscriptions". Users can subscribe to multiple channels and channels can have multiple users subscribed to them. You would use another relational table that stores the channel_id & user_id, with uniqueness for both together, since "being subscribed to one specific channel multiple times" doesn't make sense and perhaps put a column to store "hitting the bell" in there too.