React Query: A Begginer Guide

React Query: A Begginer Guide

27 May 2024
Beginner
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11 min read
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React Query - An Overview

In the dynamic landscape of web development, managing state efficiently is crucial for creating responsive and scalable applications. React Query, a library designed specifically for React applications, has emerged as a powerful tool to simplify state management and handle data fetching seamlessly.

In this article, we will delve into the key features and benefits of React Query, exploring how it addresses common challenges in state management. React JS certification training teaches you a detailed study of React applications.

What is React Query?

React Query is an open-source library that simplifies the management of remote and local data in React applications. Developed by Tanner Linsley, the library provides a set of hooks and utilities to handle data fetching, caching, and state synchronization effortlessly.

Unlike traditional state management solutions, React Query is designed to work seamlessly with asynchronous data fetching, making it particularly well-suited for modern web applications that heavily rely on APIs.

Read More - Top 50 Mostly Asked React Interview Question & Answers

Installation

Getting started with React Query is straightforward.

Use the following command to create a pre-build React.js application in the react-query-demo-app directory.

npx create-react-app react-query-demo-app

You can install React Query using npm or yarn:

npm install react-query
# or
yarn add react-query

After installation, you may use React Query in your project and start taking advantage of its features.

Use the following basic settings in your root index.js directory file to get started with React-Query:

Key Features of React Query

Key Features of React Query

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1. Declarative Data Fetching

React Query introduces a declarative approach to data fetching, allowing developers to express their data requirements using hooks. The useQuery hook is a fundamental part of React Query, enabling components to specify the data they need and automatically handling the fetching, caching, and re-fetching processes.

import { useQuery } from 'react-query';

const MyComponent = () => {
  const { data, isLoading, error } = useQuery('myData', fetchDataFunction);

  if (isLoading) {
    return Loading...;
  }
  if (error) {
    return Error: {error.message};
  }
  // Render component with data
  return {/* ... */};
};

2. Automatic Caching

React Query includes a powerful caching mechanism that automatically stores and manages fetched data. Cached data is invalidated and updated transparently based on configurable rules, ensuring that components always display the latest information without unnecessary network requests.

3. Mutations for Data Modification

For modifying data on the server, React Query provides the useMutation hook. This hook facilitates the process of updating, creating, or deleting data, and it comes with built-in features such as optimistic updates and automatic re-fetching.

import { useMutation } from 'react-query';

const MyForm = () => {
  const mutation = useMutation(updateDataFunction);

  const handleSubmit = async (formData) => {
    await mutation.mutateAsync(formData);
  };
  return (
      {/* Form fields */}
        {mutation.isLoading ? 'Saving...' : 'Save'}
  );
};

4. Real-time Updates with WebSockets

React Query extends its capabilities to real-time data updates through WebSockets. By leveraging the useQuery hook, applications can seamlessly integrate real-time data, enhancing the user experience with live updates.

Example of React Query

In this example of React Query in action, let's consider a simple task management application. In this application, we'll use React Query to fetch a list of tasks from a mock API and display them in a React component. We'll also implement a button to prefetch the tasks, demonstrating the library's automatic caching and re-fetching capabilities.

Firstly, let's set up a mock API to simulate fetching tasks. For simplicity, we'll use a function that returns a promise with a delay to mimic an asynchronous API call:

// mockApi.js
export const fetchTasks = () => {
  return new Promise((resolve) => {
    setTimeout(() => {
      resolve([
        { id: 1, title: 'Complete React Query tutorial' },
        { id: 2, title: 'Implement task filtering' },
        { id: 3, title: 'Test application thoroughly' },
      ]);
    }, 1000); // Simulate a 1-second delay
  });
};

Now, let's create a React component using React Query to fetch and display the tasks:

// TaskList.js
import React from 'react';
import { useQuery } from 'react-query';
import { fetchTasks } from './mockApi';

const TaskList = () => {
  const { data, isLoading, isError, refetch } = useQuery('tasks', fetchTasks);

  return (
    
      Task List
      {isLoading && Loading...}
      {isError && Error fetching tasks}
      {data && (
        <>            {data.map((task) => (
              {task.title}
            ))}           refetch()}>Refetch Tasks
      )}
  );
};

export default TaskList;

In this example:

  • We use the useQuery hook to fetch tasks with the key 'tasks' and the fetchTasks function.
  • The isLoading, isError, and data variables from the hook represent the loading state, error state, and the fetched data, respectively.
  • The component renders different UI elements based on the loading and error states.
  • If data is available, it renders an unordered list of tasks and a button to refetch tasks.

Now, let's include this TaskList component in our main application:

// App.js
import React from 'react';
import { QueryClient, QueryClientProvider } from 'react-query';
import TaskList from './TaskList';

const queryClient = new QueryClient();

const App = () => {
  return (
    <QueryClientProvider client={queryClient}>
      <div>
        <h1>React Query Example</h1>
        <TaskList />
      </div>
    </QueryClientProvider>    
  );
};
export default App;

Sometimes, In React Query, we import the useGithubUser hook from github.api.ts and use it to get the isLoading, error, and data states. This way, ReactQueryExample doesn't need to worry about how the data is fetched; it just consumes the data provided by the useGithubUser hook.

Example of React Query

Benefits of Using React Query

1. Simplified Codebase

React Query significantly reduces boilerplate code associated with data fetching and state management. With concise hooks and a declarative syntax, developers can focus more on building features and less on handling the intricacies of asynchronous operations.

2. Improved Developer Experience

The library's intuitive API and well-documented features contribute to an enhanced developer experience. React Query encourages best practices in data fetching, making it easier for both beginners and experienced developers to understand and maintain the codebase.

3. Optimal Performance

By leveraging automatic caching and efficient re-fetching strategies, React Query optimizes the performance of data-driven applications. Unnecessary network requests are minimized, resulting in a faster and more responsive user interface.

4. Versatile Integration

React Query is not limited to any specific data fetching library or pattern. It can be seamlessly integrated with popular solutions like Axios or Fetch, giving developers the flexibility to choose the tools that best fit their project requirements.

Summary

React Query has quickly become a go-to solution for handling state in React applications, particularly those with complex data-fetching requirements. Its declarative approach, automatic caching, and seamless integration make it a valuable addition to the toolkit of React developers.

By simplifying state management and data fetching, React Query empowers developers to create more maintainable, performant, and scalable web applications. You can learn other topics by following React Tutorial.

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About Author
Shailendra Chauhan (Microsoft MVP, Founder & CEO at Scholarhat by DotNetTricks)

Shailendra Chauhan is the Founder and CEO at ScholarHat by DotNetTricks which is a brand when it comes to e-Learning. He provides training and consultation over an array of technologies like Cloud, .NET, Angular, React, Node, Microservices, Containers and Mobile Apps development. He has been awarded Microsoft MVP 8th time in a row (2016-2023). He has changed many lives with his writings and unique training programs. He has a number of most sought-after books to his name which has helped job aspirants in cracking tough interviews with ease.
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