Setup Apollo Client for graphQL requests in React
Introduction
This article will demonstrate how to set up a React app for graphQL requests using the ApolloClient library. The goal is to show how to configure the app and provide an example of how to make requests.
Libs
- @apollo/client: lib that enables state management and makes graphQL requests
- graphql: lib that allows parsing GraphQL queries
To add the libs to the project:
yarn add @apollo/client graphql --dev
Configuration
Below, I will show how to configure ApolloClient to enable graphQL requests.
First, an ApolloClient context will be created so that everything contained as its children can make graphQL requests:
import { ApolloClient, ApolloProvider, HttpLink, InMemoryCache } from '@apollo/client' function ExampleApolloProvider({ children, token, uri }) { const httpLink = new HttpLink({ uri: uri, headers: { authorization: `Bearer ${token}`, }, }) const client = new ApolloClient({ cache: new InMemoryCache(), link: httpLink, }) return <ApolloProvider client={client}>{children}</ApolloProvider> } export { ExampleApolloProvider as ApolloProvider }
In const client, the ApolloClient is initialized, specifying the endpoint through the defined link and the cache using an instance of InMemoryCache, which ApolloClient uses to cache query results.
In httpLink, the uri of the graphQL api is set, along with the necessary headers for the requests. In this example, a Bearer token is used.
Finally, the return and export are defined to allow its use inside the app.
Considering that this is an app where the token is saved in localStorage after login, and the goal is to enable graphQL requests throughout the app, the ApolloProvider defined in the previous file is used:
import { ApolloProvider } from './contexts/ApolloContext' import AppContent from './components/AppContent' const token = localStorage.getItem('@tokenId') // endpoint of your graphQL api const graphqlURI = 'https://www.example.com' const App = () => { return ( <ApolloProvider token={token} uri={graphqlURI}> <AppContent /> </ApolloProvider> ) }
In this example, the token is retrieved from localStorage (in this case, as if it were saved with the key @tokenId), and the uri is defined inside the same file, then passed to the ApolloProvider. The AppContent is passed as the children of the ApolloProvider, meaning everything contained inside it, the entire app, will be able to make graphQL requests.
In practice, when having different environments for testing and production, the graphqlURI could come from an environment variable, with the uri for each environment defined accordingly.
Starting with a query called user that the api exposes, which returns the user's name and occupation, a file will be defined with the query to be called:
import { gql } from '@apollo/client' const GET_USER = gql` query GetUser { user { name occupation } } ` export default GET_USER
GET_USER corresponds to how the query will be called in the React app, and user is the name of the query to be used from the api.
In the file that defines AppContent, the GET_USER query will be called and its return will be used:
import { ApolloClient, ApolloProvider, HttpLink, InMemoryCache } from '@apollo/client' function ExampleApolloProvider({ children, token, uri }) { const httpLink = new HttpLink({ uri: uri, headers: { authorization: `Bearer ${token}`, }, }) const client = new ApolloClient({ cache: new InMemoryCache(), link: httpLink, }) return <ApolloProvider client={client}>{children}</ApolloProvider> } export { ExampleApolloProvider as ApolloProvider }
The useQuery hook will execute the query defined in GET_USER, returning loading as true while the request is still in progress, returning error if the request fails, and returning data when the request successfully completes. Until data is returned, it will display the message Loading... on the screen. If the request ends with an error, it will display the message Request failed. If the request is successful, the user's name and occupation (name and occupation) will be displayed on the screen.
This way, the ApolloClient is configured for graphQL requests and ready for use.
Conclusion
The idea was to demonstrate how to configure ApolloClient to allow a React app to make graphQL calls, showing the definition of the context, the usage of this context, and an example of how to execute a query.
Here is the link to the ApolloClient documentation for anyone who wants to dive deeper.
The above is the detailed content of Setup Apollo Client for graphQL requests in React. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Frequently Asked Questions and Solutions for Front-end Thermal Paper Ticket Printing In Front-end Development, Ticket Printing is a common requirement. However, many developers are implementing...

JavaScript is the cornerstone of modern web development, and its main functions include event-driven programming, dynamic content generation and asynchronous programming. 1) Event-driven programming allows web pages to change dynamically according to user operations. 2) Dynamic content generation allows page content to be adjusted according to conditions. 3) Asynchronous programming ensures that the user interface is not blocked. JavaScript is widely used in web interaction, single-page application and server-side development, greatly improving the flexibility of user experience and cross-platform development.

There is no absolute salary for Python and JavaScript developers, depending on skills and industry needs. 1. Python may be paid more in data science and machine learning. 2. JavaScript has great demand in front-end and full-stack development, and its salary is also considerable. 3. Influencing factors include experience, geographical location, company size and specific skills.

Learning JavaScript is not difficult, but it is challenging. 1) Understand basic concepts such as variables, data types, functions, etc. 2) Master asynchronous programming and implement it through event loops. 3) Use DOM operations and Promise to handle asynchronous requests. 4) Avoid common mistakes and use debugging techniques. 5) Optimize performance and follow best practices.

Discussion on the realization of parallax scrolling and element animation effects in this article will explore how to achieve similar to Shiseido official website (https://www.shiseido.co.jp/sb/wonderland/)...

The latest trends in JavaScript include the rise of TypeScript, the popularity of modern frameworks and libraries, and the application of WebAssembly. Future prospects cover more powerful type systems, the development of server-side JavaScript, the expansion of artificial intelligence and machine learning, and the potential of IoT and edge computing.

How to merge array elements with the same ID into one object in JavaScript? When processing data, we often encounter the need to have the same ID...

In-depth discussion of the root causes of the difference in console.log output. This article will analyze the differences in the output results of console.log function in a piece of code and explain the reasons behind it. �...
