


React Query Database Plugin: Strategies for Cache Warming and Elimination
React Query Database Plugin: Strategies for implementing cache warm-up and eviction, specific code examples required
As the complexity of modern front-end applications continues to increase, data management And caching is becoming increasingly important. React Query is a powerful data management library that helps us handle data retrieval, caching, and updating operations in React applications. However, React Query uses built-in caching strategies by default. If we need more advanced cache control, such as cache warm-up and eviction strategies, we can use the React Query database plugin to achieve this.
In this article, we will introduce how to use the React Query database plug-in to implement cache warm-up and eviction strategies, and provide specific code examples.
First, we need to install React Query and React Query database plug-in. They can be installed using the following command:
npm install react-query react-query-database
Once the installation is complete, we can introduce these libraries into the application:
import { QueryClient, QueryClientProvider } from 'react-query'; import { createDatabaseCache } from 'react-query-database';
Next, we will create a QueryClient and cache the database Add the plug-in to it:
const queryClient = new QueryClient({ defaultOptions: { queries: { cacheTime: 1000 * 60 * 5, // 设置默认缓存时间为 5 分钟 plugins: [ createDatabaseCache(), // 添加数据库缓存插件 ], }, }, });
Now, we have successfully added the database cache plug-in to QueryClient. Next, we can define some custom cache warm-up and eviction strategies.
First, let’s take a look at how to implement cache preheating. Suppose we have a request to get user information:
import { useQuery } from 'react-query'; const fetchUser = async (userId) => { // 模拟获取用户信息的异步请求 const response = await fetch(`/api/users/${userId}`); const data = await response.json(); return data; }; const UserProfile = ({ userId }) => { const { data } = useQuery(['user', userId], () => fetchUser(userId)); if (data) { // 渲染用户信息 } return null; };
Now we want to preload some user information into the cache when the application starts to improve the user experience. We can add the following code at the entrance of the application:
import { useQueryClient } from 'react-query'; const App = () => { const queryClient = useQueryClient(); useEffect(() => { const userIds = [1, 2, 3]; // 假设我们要预热的用户 ID 列表 userIds.forEach((userId) => { const queryKey = ['user', userId]; queryClient.prefetchQuery(queryKey, () => fetchUser(userId)); }); }, []); return ( // 应用程序的其他内容 ); };
In this example, we define an array containing the user IDs to be preheated, and use the queryClient.prefetchQuery method in useEffect to preheat the cache . The fetchUser function will be called during warmup to store the data into the cache. In this way, when the UserProfile component needs to render user information, it will immediately obtain the data from the cache without making another network request.
Next, let’s take a look at how to implement the cache eviction strategy. Suppose we have a request to get a list of articles:
import { useQuery } from 'react-query'; const fetchArticles = async () => { // 模拟获取文章列表的异步请求 const response = await fetch('/api/articles'); const data = await response.json(); return data; }; const ArticlesList = () => { const { data } = useQuery('articles', fetchArticles); if (data) { // 渲染文章列表 } return null; };
By default, React Query's caching strategy is to save data in memory and automatically eliminate it after a certain period of time. However, sometimes we may need to implement a custom elimination strategy. We can achieve this by setting the staleTime parameter of the query:
const { data } = useQuery('articles', fetchArticles, { staleTime: 1000 * 60 * 30, // 设置缓存过期时间为 30 分钟 });
In this example, we set the cache expiration time to 30 minutes. When the data expires, React Query will automatically initiate a new request to obtain the latest data and update the cache.
In addition to setting the cache expiration time, we can also use the cacheTime parameter of query to set the maximum time for the data to be in the cache. When the data exceeds this time, React Query will delete it from the cache:
const { data } = useQuery('articles', fetchArticles, { staleTime: 1000 * 60 * 30, // 设置缓存过期时间为 30 分钟 cacheTime: 1000 * 60 * 60 * 24, // 设置最长缓存时间为 24 小时 });
In this example, we set the maximum cache time to 24 hours. This means that the data will be evicted after 24 hours, even if the cache expiration time is not exceeded.
By using the React Query database plug-in, we can easily implement cache warm-up and elimination strategies to improve application performance and user experience. In this article, we explain how to install and configure the React Query database plugin, and provide specific code examples for cache warm-up and eviction. Hopefully these examples will help you better understand and use the React Query database plugin and optimize your applications.
The above is the detailed content of React Query Database Plugin: Strategies for Cache Warming and Elimination. For more information, please follow other related articles on the PHP Chinese website!

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

The shift from C/C to JavaScript requires adapting to dynamic typing, garbage collection and asynchronous programming. 1) C/C is a statically typed language that requires manual memory management, while JavaScript is dynamically typed and garbage collection is automatically processed. 2) C/C needs to be compiled into machine code, while JavaScript is an interpreted language. 3) JavaScript introduces concepts such as closures, prototype chains and Promise, which enhances flexibility and asynchronous programming capabilities.

Different JavaScript engines have different effects when parsing and executing JavaScript code, because the implementation principles and optimization strategies of each engine differ. 1. Lexical analysis: convert source code into lexical unit. 2. Grammar analysis: Generate an abstract syntax tree. 3. Optimization and compilation: Generate machine code through the JIT compiler. 4. Execute: Run the machine code. V8 engine optimizes through instant compilation and hidden class, SpiderMonkey uses a type inference system, resulting in different performance performance on the same code.

JavaScript's applications in the real world include server-side programming, mobile application development and Internet of Things control: 1. Server-side programming is realized through Node.js, suitable for high concurrent request processing. 2. Mobile application development is carried out through ReactNative and supports cross-platform deployment. 3. Used for IoT device control through Johnny-Five library, suitable for hardware interaction.

I built a functional multi-tenant SaaS application (an EdTech app) with your everyday tech tool and you can do the same. First, what’s a multi-tenant SaaS application? Multi-tenant SaaS applications let you serve multiple customers from a sing

This article demonstrates frontend integration with a backend secured by Permit, building a functional EdTech SaaS application using Next.js. The frontend fetches user permissions to control UI visibility and ensures API requests adhere to role-base

JavaScript is the core language of modern web development and is widely used for its diversity and flexibility. 1) Front-end development: build dynamic web pages and single-page applications through DOM operations and modern frameworks (such as React, Vue.js, Angular). 2) Server-side development: Node.js uses a non-blocking I/O model to handle high concurrency and real-time applications. 3) Mobile and desktop application development: cross-platform development is realized through ReactNative and Electron to improve development efficiency.

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.


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Dreamweaver Mac version
Visual web development tools

SublimeText3 English version
Recommended: Win version, supports code prompts!

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

Atom editor mac version download
The most popular open source editor

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.