angular state management

The problem is that it doesn’t handle errors: if the server fails to update the talk, the client will show incorrect information. We have a new strategy for syncing the persistent state with the server. It then invokes the reducer with the snapshot, and only after the reducer is done it proceeds with the navigation.As you can see, the reducer can return an observable, in which case the router will wait until this observable completes. Akita encourages simplicity. It is built on top of RxJS and inspired by models like Flux and Redux. I implemented my own store and connected it to the router (all together it is fewer than a hundred lines of code).I did it to show that careful thinking is what is really important, and not using the latest version of any library.Having said that, I think @ngrx/store is a great Redux implementation for Angular, and you should use it unless you have a reason not to.

If you are using it, check out We started with a simple application.

This wasn’t our goal. To solve the rest of the problems, we implemented a strategy connecting the reducer and its store to the router.The main takeaway is you should be deliberate about how you manage state. What about the local UI state? It is easy to use Redux and still mix computation and state management, not handle errors and optimistic updates, or use mutable state. What has to be asynchronous? State-management in Angular can be a complicated topic. State management and computation/services are separated. Be intentional about your design.Nrwl's latest news from the team. They can also work in combination with Redux, as shown here (If you can justify the investment, I’d highly recommend you to check out Apollo.You can find the source code of the application after this refactoring One way to fix it is to build a generic library synchronizing the store with the router. There is an abundance of 3rd party state management libraries: I have seen a great share of over-engineered Angular applications, where zealous engineers implemented state management that looks like a fully automated Tesla Gigafactory … for simple “forms over data” applications.As a consequence I regularly see teams struggle to extend and maintain these applications once the zealous engineers switched to the next project.Yet there is also a desire for simpler state management:The pattern of the observable data service looks similar like this:Yet there is an even simpler and more intuitive way to do state management in Angular…Here we just leverage the default change detection of Angular with a stateful service:I think this is the simplest and most intuitive way to implement state management. What mistakes did we make?Rule 1: Separate services/computation from state managementI won’t introduce Redux in this article as there is a lot of information about it online already. This has a lot of positive consequences, some of which I will talk about later.Rule 3: Use immutable data for persistent and client stateThis refactoring simplified our components.

Do not trust anyone saying they have “one simple pattern/library” fixing it — that’s never the case.Decide on the types of state, how to manage them, and how to make sure the state is consistent. We'll share what we're working on and share tips and techniques for software development. We can do better than that.This is a significant change. Managing state is a hard problem. It ensures that we process actions in order without interleaving them.Rule 2: Optimistic updates require separate actions to deal with errorsFinally, we changed our model to be immutable. You can use deeply nested state and just mutate any desired property.There is no need to implement a concept of “immutable state” (which is a paradox in most applications anyway).There is no need to model state changes and reactions explicitly via observables and subscriptions. In other words, the router should invoke the reducer, not the other way around.In this arrangement, the router parses the URL and creates a router state snapshot.