This article has been updated to the latest version Angular 10 and tested with Angular 9. The content is likely still applicable for all Angular 2 + versions.
A typical pattern we run into with single page apps is to gather up data from multiple API endpoints and then display the gathered data to the user. Fetching numerous asynchronous requests and managing them can be tricky but with the Angular’s Http service and a little help from the included RxJS library, it can be accomplished in just a few of lines of code. There are multiple ways to handle multiple requests; they can be sequential or in parallel. In this post, we will cover both.
Let’s start with a simple HTTP request using the Angular Http service.
import { Component } from '@angular/core';
import { HttpClient } from '@angular/common/http';
@Component({
selector: 'app-root',
templateUrl: 'app/app.component.html'
})
export class AppComponent {
constructor(private http: HttpClient) {}
ngOnInit() {
this.http.get('/api/people/1').subscribe(json => console.log(json));
}
}
In our app, we have just a single component that pulls in Angular’s Http service via Dependency Injection. Angular will give us an instance of the Http service when it sees the signature in our component’s constructor.
Now that we have the service we call the service to fetch some data from our test API. We do this in the ngOnInit. This is a life cycle hook where its ideal to fetch data. You can read more about ngOnInit in the docs. For now, let’s focus on the HTTP call. We can see we have http.get() that makes a GET request to /api/people/1. We then call subscribe to subscribe to the data when it comes back. When the data comes back, we just log the response to the console. So this is the simplest snippet of code to make a single request. Let’s next look at making two requests.
Subscribe
In our next example, we will have the following use case: We need to retrieve a character from the Star Wars API. To start, we have the id of the desired character we want to request.
When we get the character back, we then need to fetch that character’s homeworld from the same API but a different REST endpoint. This example is sequential. Make one request then the next.
import { Component } from '@angular/core';
import { HttpClient } from '@angular/common/http';
@Component({
selector: 'app-root',
templateUrl: 'app/app.component.html'
})
export class AppComponent {
loadedCharacter: {};
constructor(private http: HttpClient) {}
ngOnInit() {
this.http.get('/api/people/1').subscribe(character => {
this.http.get(character.homeworld).subscribe(homeworld => {
character.homeworld = homeworld;
this.loadedCharacter = character;
});
});
}
}
Looking at the ngOnInit method, we see our HTTP requests. First, we request to get a user from /api/user/1. Once loaded we the make a second request a fetch the homeworld of that particular character. Once we get the homeworld, we add it to the character object and set the loadedCharacter property on our component to display it in our template. This works, but there are two things to notice here. First, we are starting to see this nested pyramid structure in nesting our Observables which isn’t very readable. Second, our two requests were sequential. So let’s say our use case is we just want to get the homeworld of our character and to get that data we must load the character and then the homeworld. We can use a particular operator to help condense our code above.
MergeMap
In this example, we will use the mergeMap operator. Let’s take a look at the code example first.
import { Component } from '@angular/core';
import { HttpClient } from '@angular/common/http';
import { Observable } from 'rxjs';
import { mergeMap } from 'rxjs/operators';
@Component({
selector: 'app-root',
templateUrl: 'app/app.component.html'
})
export class AppComponent {
homeworld: Observable<{}>;
constructor(private http: HttpClient) {}
ngOnInit() {
this.homeworld = this.http
.get('/api/people/1')
.pipe(mergeMap(character => this.http.get(character.homeworld)));
}
}
In this example, we use the mergeMap also known as flatMap to map/iterate over the Observable values. So in our example when we get the homeworld, we are getting back an Observable inside our character Observable stream. This creates a nested Observable in an Observable. The mergeMap operator helps us by subscribing and pulling the value out of the inner Observable and passing it back to the parent stream. This condenses our code quite a bit and removes the need for a nested subscription. This may take a little time to work through, but with practice, it can be a handy tool in our RxJS tool belt. Next, let’s take a look at multiple parallel requests with RxJS.
ForkJoin
In this next example, we are going to use an operator called forkJoin. If you are familiar with Promises, this is very similar to Promise.all(). The forkJoin() operator allows us to take a list of Observables and execute them in parallel. Once every Observable in the list emits a value, the forkJoin will emit a single Observable value containing a list of all the resolved values from the Observables in the list. In our example, we want to load a character and a characters homeworld. We already know what the ids are for these resources so we can request them in parallel.
import { Component } from '@angular/core';
import { HttpClient } from '@angular/common/http';
import { Observable, forkJoin } from 'rxjs';
@Component({
selector: 'app-root',
templateUrl: 'app/app.component.html'
})
export class AppComponent {
loadedCharacter: {};
constructor(private http: HttpClient) {}
ngOnInit() {
let character = this.http.get('https://swapi.co/api/people/1');
let characterHomeworld = this.http.get('http://swapi.co/api/planets/1');
forkJoin([character, characterHomeworld]).subscribe(results => {
// results[0] is our character
// results[1] is our character homeworld
results[0].homeworld = results[1];
this.loadedCharacter = results[0];
});
}
}
In our example, we capture the character and characterHomeworld Observable in variables. Observables are lazy, so they won’t execute until someone subscribes. When we pass them into forkJoin the forkJoin operator will subscribe and run each Observable, gathering up each value emitted and finally emitting a single array value containing all the completed HTTP requests. This is a typical pattern with JavaScript UI programming. With RxJS this is relatively easy compared to using traditional callbacks.
With the mergeMap/flatMap and forkJoin operators we can do pretty sophisticated asynchronous code with only a few lines of code. Check out the live example below!
