How to implement data caching and persistent storage in React Query?
How to implement data caching and persistent storage in React Query?
As the complexity of front-end applications increases, data management becomes very important. React Query is a powerful tool for data acquisition and management. It provides a way to simplify data retrieval, caching and synchronization, helping us quickly build efficient and easy-to-maintain applications.
Although React Query has memory caching function by default, the cached data will be lost after refreshing the page. To solve this problem, we need to persist cache data to local storage. In this article, we will explore how to implement data caching and persistent storage in React Query.
First, we need to install React Query:
npm install react-query
Next, let’s take a look at how to use React Query to get data and cache and persist it.
import React from 'react'; import { useQuery, QueryClient, QueryClientProvider } from 'react-query'; const queryClient = new QueryClient(); const fetchData = async () => { const response = await fetch('https://api.example.com/data'); return response.json(); }; const DataComponent = () => { const { data, isLoading, error } = useQuery('data', fetchData); if (isLoading) { return <div>Loading...</div>; } if (error) { return <div>Error: {error.message}</div>; } return ( <div> {data.map((item) => ( <div key={item.id}>{item.name}</div> ))} </div> ); }; const App = () => { return ( <QueryClientProvider client={queryClient}> <DataComponent /> </QueryClientProvider> ); }; export default App;
In the above code, we use the useQuery
hook to get the data. We pass a unique identifier 'data'
as the query key, and an asynchronous function to fetch the data fetchData
. React Query will automatically cache our data and use the cached data in future requests.
Now, let’s implement persistent storage of data. We can use the getQueryData
and setQueryData
methods of queryClient
to manually cache and obtain data. At the same time, we can use localStorage
or other persistent storage solutions similar to localStorage
to save data locally.
const fetchData = async () => { const cachedData = queryClient.getQueryData('data'); if (cachedData) { return cachedData; } const response = await fetch('https://api.example.com/data'); const data = response.json(); queryClient.setQueryData('data', data); localStorage.setItem('data', JSON.stringify(data)); return data; }; const DataComponent = () => { const { data, isLoading, error } = useQuery('data', fetchData); // ... return ( // ... ); }; const App = () => { const cachedData = JSON.parse(localStorage.getItem('data')); if (cachedData) { queryClient.setQueryData('data', cachedData); } return ( // ... ); };
In the above code, we first try to get data from the cache through the queryClient.getQueryData
method. If the data exists, the cached data is returned directly to avoid reinitiating the request. If the data does not exist, proceed with the normal data request process and use the queryClient.setQueryData
method to cache the data.
In the App
component, we first try to get the cached data from local storage. If the data exists, use the queryClient.setQueryData
method to set the data to the initial cached data.
Through the above code examples, we successfully implemented data caching and persistent storage in React Query. This allows our application to manage data more efficiently and restore the previous state after refreshing the page.
Summary:
- Use React Query to easily obtain and manage data.
- React Query has memory caching function by default, but after refreshing the page, the cached data will be lost.
- We can manually cache and obtain data using the
getQueryData
andsetQueryData
methods ofqueryClient
. - We can use
localStorage
or other persistent storage solutions similar tolocalStorage
to save data locally. - Through data caching and persistent storage, we can improve the performance of the application and restore the previous state.
The above is the detailed content of How to implement data caching and persistent storage in React Query?. For more information, please follow other related articles on the PHP Chinese website!

Yes, the engine core of JavaScript is written in C. 1) The C language provides efficient performance and underlying control, which is suitable for the development of JavaScript engine. 2) Taking the V8 engine as an example, its core is written in C, combining the efficiency and object-oriented characteristics of C. 3) The working principle of the JavaScript engine includes parsing, compiling and execution, and the C language plays a key role in these processes.

JavaScript is at the heart of modern websites because it enhances the interactivity and dynamicity of web pages. 1) It allows to change content without refreshing the page, 2) manipulate web pages through DOMAPI, 3) support complex interactive effects such as animation and drag-and-drop, 4) optimize performance and best practices to improve user experience.

C and JavaScript achieve interoperability through WebAssembly. 1) C code is compiled into WebAssembly module and introduced into JavaScript environment to enhance computing power. 2) In game development, C handles physics engines and graphics rendering, and JavaScript is responsible for game logic and user interface.

JavaScript is widely used in websites, mobile applications, desktop applications and server-side programming. 1) In website development, JavaScript operates DOM together with HTML and CSS to achieve dynamic effects and supports frameworks such as jQuery and React. 2) Through ReactNative and Ionic, JavaScript is used to develop cross-platform mobile applications. 3) The Electron framework enables JavaScript to build desktop applications. 4) Node.js allows JavaScript to run on the server side and supports high concurrent requests.

Python is more suitable for data science and automation, while JavaScript is more suitable for front-end and full-stack development. 1. Python performs well in data science and machine learning, using libraries such as NumPy and Pandas for data processing and modeling. 2. Python is concise and efficient in automation and scripting. 3. JavaScript is indispensable in front-end development and is used to build dynamic web pages and single-page applications. 4. JavaScript plays a role in back-end development through Node.js and supports full-stack development.

C and C play a vital role in the JavaScript engine, mainly used to implement interpreters and JIT compilers. 1) C is used to parse JavaScript source code and generate an abstract syntax tree. 2) C is responsible for generating and executing bytecode. 3) C implements the JIT compiler, optimizes and compiles hot-spot code at runtime, and significantly improves the execution efficiency of JavaScript.

JavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.

The main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.


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

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Atom editor mac version download
The most popular open source editor

WebStorm Mac version
Useful JavaScript development tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function
