Search code examples
angularobservable

Angular 6 - Observable explanation in plain English


I'm looking for a plain English explanation of what an Observable is in RXJS.

What it can be used for, and any useful explanations either video links, tutorials, use cases, examples, or anything really.

So far nothing I have found on Udemy, Todd Motto, Youtube, Angular official website has clicked with me and I just want a basic explanation of the above if that is possible.

So far all I know is that you can subscribe to them with an observer. Is it just another kind of variable?

Thanks in advance.


Solution

  • Lets start with promises

    In Javascript, Promises are a common pattern used to handle async code elegantly. If you don't know what promises are, start there. They look something like this:

    todoService.getTodos() // this could be any async workload
    .then(todos => {
      // got returned todos
    })
    .catch(err => {
      // error happened
    })
    

    The important parts:

    todoService.getTodos() // returns a Promise
    

    Lets forget about how getTodos() works for now. The important thing to know is that lots of libraries support Promises and can return promises for async workloads like http requests.

    A Promise object implements two main methods that make it easy to handle the results of the async work. These methods are .then() and .catch(). then handles "successful" results and catch is an error handler. When the then handler returns data, this is called resolving a promise, and when it throws an error to the catch handler, this is called rejecting.

    .then(todos => { // promise resolved with successful results })
    .catch(err => { // promise rejected with an error }) 
    

    The cool thing is, then and catch also return promises so you can chain them like this:

    .then(todos => {
      return todos[0]; // get first todo
    })
    .then(firstTodo => {
      // got first todo!
    })
    

    Here's the catch: Promises can only resolve OR reject ONCE

    This works out alright for things like http requests because http requests fundamentally execute once and return once (success or error).

    What happens when you want an elegant way to stream async data? Think video, audio, real-time leaderboard data, chat room messages. It would be great to be able to use promises to set up a handler that keeps accepting data as it streams in:

    // impossible because promises only fire once!
    videoService.streamVideo()
    .then(videoChunk => { // new streaming chunk })
    

    Welcome to the reactive pattern

    In a nutshell: Promises are to async single requests, what Observables are to async streaming data.

    It looks something like this:

    videoService.getVideoStream() // returns observable, not promise
    .subscribe(chunk => {  // subscribe to an observable
       // new chunk
    }, err => {
      // error thrown
    });
    

    Looks similar to the promise pattern right? One major difference between observables and promises. Observables keep "emitting" data into the "subscription" instead of using single use .then() and .catch() handlers.

    Angular's http client library returns observables by default even though you might think http fits the single use promise pattern better. But the cool thing about reactive programming (like rxJS) is that you can make observables out of other things like click events, or any arbitrary stream of events. You can then compose these streams together to do some pretty cool stuff.

    For example, if you want to refresh some data every time a refresh button gets clicked AND every 60 seconds, you could set up something like this:

    const refreshObservable = someService.refreshButtonClicked(); // observable for every time the refresh button gets clicked
    const timerObservable = someService.secondsTimer(60); // observable to fire every 60 seconds
    
    merge(
      refreshObservable,
      timerObservable
    )
    .pipe(
      refreshData()
    )
    .subscribe(data => // will keep firing with updated data! )
    

    A pretty elegant way to handle a complex process! Reactive programming is a pretty big topic but this is a pretty good tool to try and visualize all the useful ways you can use observables to compose cool stuff.

    note: this is untested pseudocode written for illustration purposes only