Leveraging React Query and Database for Data Cache Consistency

Using React Query and the database to achieve data cache consistency

As front-end applications become more and more complex, we often need to interact with the back-end data. In order to improve application performance and user experience, we usually use data caching to reduce the number of network requests. However, data caching brings an important question: how to maintain the consistency of cached data with the back-end database? In this article, I'll explain how to leverage React Query and a database to achieve data cache consistency, and provide concrete code examples.

React Query is an excellent data caching and state management library, which can help us easily handle data caching and synchronization issues. In this article, we will use React Query to cache user list data and ensure that the cached data is consistent with the data in the database.

First, we need to install React Query:

npm install react-query

Then, we can start writing code. Here is a simple example showing how to cache user list data using React Query:

import { QueryClient, QueryClientProvider, useQuery } from 'react-query'; const queryClient = new QueryClient(); const fetchUsers = async () => { const response = await fetch('/api/users'); const data = await response.json(); return data; } const UserList = () => { const { data } = useQuery('users', fetchUsers); return ( 
 {data.map(user => ( 
{user.name}
 ))} 
 ); } const App = () => { return (    ); } export default App;

In the above code, we have used theuseQueryhook function to get it from the cache or backend User list data.useQueryThe first parameter of the function is a string used to identify the key name of the cached data. On subsequent requests, we can use the same key name to get the cached data instead of making another network request.

At the same time, we defined a function namedfetchUsers, which obtains user list data through network requests. This function will be triggered on the initial render to obtain data and automatically update the cache.

Next, we need to ensure the consistency of the cached data with the backend database. To achieve this goal, we can use React Query'srefetchmethod to manually trigger data updates. Here is an example:

import { useQueryClient } from 'react-query'; const UserList = () => { const queryClient = useQueryClient(); const { data } = useQuery('users', fetchUsers); const handleUpdate = async () => { // 手动触发数据更新 await queryClient.refetchQueries('users'); } return ( 
 
 {data.map(user => ( 
{user.name}
 ))} 
 更新数据 
 ); }

In the above code, we first use theuseQueryClienthook function to obtain aQueryClientinstance. Then, we define ahandleUpdatefunction that manually triggers the update of the data by calling thequeryClient.refetchQueriesmethod. Finally, we added a button below the user list. When the button is clicked, thehandleUpdatefunction will be called to obtain the latest data from the backend.

Through the above method, we can achieve consistency between the front-end data cache and the back-end database. When we manually trigger a data update, React Query automatically sends a network request and updates the data in the cache.

To summarize, using React Query and the database to achieve data cache consistency is an efficient method that can ensure accurate and up-to-date data while maintaining application performance. By properly using the features provided by React Query, we can easily handle data caching and synchronization issues and improve the user experience of the application.

I hope this article will help you understand and master the use of React Query and the database to achieve data cache consistency. I wish you more success in front-end development!

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