The scalability referred to here is more about scaling the codebase than scaling in terms of how fast the software is. Data in flux systems is easy to trace because every store is registered to every action, and the actions define every app-wide event that can happen in the system. Each store can determine how it needs to update itself in response to each action, without the programmer needing to decide which stores to wire up to which actions, and in most cases, you can change or read the code for a store without needing to worrying about how it affects any other store.
At some point the programmer will need to register the store. The store is very specific to the data it'll receive from the event. How exactly is looking up the data inside the store better than registering for a specific event, and having the store always expect the data it needs/cares about?
The actions in the system represent the things that can happen in a system, along with the relevant data for that event. For example:
- A user logged in; comes with user profile
- A user added a comment; comes with comment data, item ID it was added to
- A user updated a post; comes with the post data
So, you can think about actions as the database of things the stores can know about. Any time an action is dispatched, it's sent to each store. So, at any given time, you only need to think about your data mutations a single store + action at a time.
For instance, when a post is updated, you might have a PostStore
that watches for the POST_UPDATED
action, and when it sees it, it will update its internal state to store off the new post. This is completely separate from any other store which may also care about the POST_UPDATED
event—any other programmer from any other team working on the app can make that decision separately, with the knowledge that they are able to hook into any action in the database of actions that may take place.
Another reason this is useful and scalable in terms of the codebase is inversion of control; each store decides what actions it cares about and how to respond to each action; all the data logic is centralized in that store. This is in contrast to a pattern like MVC, where a controller is explicitly set up to call mutation methods on models, and one or more other controllers may also be calling mutation methods on the same models at the same time (or different times); the data update logic is spread through the system, and understanding the data flow requires understanding each place the model might update.
Finally, another thing to keep in mind is that registering vs. not registering is sort of a matter of semantics; it's trivial to abstract away the fact that the store receives all actions. For example, in Fluxxor, the stores have a method called bindActions
that binds specific actions to specific callbacks:
this.bindActions(
"FIRST_ACTION_TYPE", this.handleFirstActionType,
"OTHER_ACTION_TYPE", this.handleOtherActionType
);
Even though the store receives all actions, under the hood it looks up the action type in an internal map and calls the appropriate callback on the store.