How to handle errors in React?

Handling errors is an essential part of building robust and reliable applications. React provides several mechanisms to handle errors gracefully, ensuring a smooth user experience and preventing crashes. In this blog post, we will explore the different techniques for error handling in React.

Understanding Errors in React

Before diving into error handling techniques, it’s essential to understand the types of errors you might encounter in a React application. React errors can be categorized into two main types:

  • Compile-time Errors: These occur during the development phase and are related to syntax or logic errors in your code. They are typically caught by the build tools, such as Babel or TypeScript.
  • Runtime Errors: These occur during the execution of the application. They might result from unexpected inputs, network issues, or other runtime conditions.

Using ‘react-error-boundary’ Library

To implement Error Boundaries in functional components, the ‘react-error-boundary’ library provides a convenient way to do so. Here’s a brief example of how you can use it:

import { ErrorBoundary, useErrorHandler } from 'react-error-boundary'; function ErrorFallback({ error, resetErrorBoundary }) {   // Your custom error UI   return (     <div>       <h2>Something went wrong</h2>       <p>{error.message}</p>       <button onClick={resetErrorBoundary}>Try again</button>     </div>   ); } function MyComponent() {   const handleError = useErrorHandler();   // Any code that might throw an error   if (/* some condition */) {     throw new Error('This is an example error');   }   return (     <div>       {/* Your component content */}     </div>   ); } function App() {   return (     <ErrorBoundary FallbackComponent={ErrorFallback} onReset={onResetFunct}>       <MyComponent />     </ErrorBoundary>   ); } export default App;
Code language: JavaScript (javascript)

In this example, ‘ErrorBoundary’ is used to wrap the component tree where errors should be caught. The ‘FallbackComponent’ prop allows you to specify a custom UI to display when an error occurs.

Global Error Handling

In addition to local error handling, it is often useful to have a global error handler to capture any unhandled errors throughout your application. Here are some commonly used techniques for global error handling in React;

Window.onerror

The window.onerror event handler allows you to catch unhandled errors that occur outside of the React component hierarchy. You can register it in your main entry file:

import { useEffect } from 'react'; function App() {   useEffect(() => {     const handleGlobalError = (event) => {       // Log the error or perform other actions       console.error(event.error);     };     window.addEventListener('error', handleGlobalError);     return () => {       window.removeEventListener('error', handleGlobalError);     };   }, []);  // Your component code } export default App;
Code language: JavaScript (javascript)

Route Error Handling

If you’re working with a routing library and want to handle errors related to routing, you can use a ‘useRouteError’ hook.

import { Link, useRouteError } from 'react-router-dom'; const Error = () => {   const error = useRouteError();   console.log(error);   if (error.status === 404) {     return (       <>         <div>           <img src={img} alt='not found' />           <h3>Ohh! page not found</h3>           <p>We can't seem to find the page you're looking for</p>           <Link to='/home'>back home</Link>         </div>       </>     );   }   return (     <>       <div>         <h3>something went wrong</h3>       </div>     </>   ); }; export default Error;
Code language: JavaScript (javascript)

Conclusion

Error handling is a critical aspect of building applications. React provides various options to handle errors, such as Error Boundaries and Error Handling Hooks. Additionally, global error-handling techniques can help capture unhandled errors. By implementing effective error-handling strategies, you can ensure a smoother user experience and make your React applications more reliable.

Remember to log errors or send them to an error-tracking service to gather insights and improve the quality of your application. 

Recent Post

  • Generative AI in HR Operations: Overview, Use Cases, Challenges, and Future Trends

    Overview Imagine a workplace where HR tasks aren’t bogged down by endless paperwork or repetitive chores, but instead powered by intelligent systems that think, create, and adapt—welcome to the world of GenAI. Generative AI in HR operations offers a perfect blend of efficiency, personalization, and strategic insight that transforms how organizations interact with their talent. […]

  • Generative AI in Sales: Implementation Approaches, Use Cases, Challenges, Best Practices, and Future Trends

    The world of sales is evolving at lightning speed. Today’s sales teams are not just tasked with meeting ambitious quotas but must also navigate a maze of complex buyer journeys and ever-rising customer expectations. Despite relying on advanced CRM systems and various sales tools, many teams remain bogged down by repetitive administrative tasks, a lack […]

  • Generative AI in Due Diligence: Integration Approaches, Use Cases, Challenges, and Future Outlook

    Generative AI is revolutionizing the due diligence landscape, setting unprecedented benchmarks in data analysis, risk management, and operational efficiency. By combining advanced data processing capabilities with human-like contextual understanding, this cutting-edge technology is reshaping traditional due diligence processes, making them more efficient, accurate, and insightful. This comprehensive guide explores the integration strategies, practical applications, challenges, […]

  • Exploring the Role of AI in Sustainable Development Goals (SDGs)

    Artificial Intelligence (AI) is revolutionizing how we address some of the world’s most pressing challenges. As we strive to meet the United Nations’ Sustainable Development Goals (SDGs) by 2030, AI emerges as a powerful tool to accelerate progress across various domains. AI’s potential to contribute to sustainable development is vast from eradicating poverty to combating […]

  • Future Trends in AI Chatbots: What to Expect in the Next Decade

    Artificial Intelligence (AI) chatbots have become indispensable across industries. The absolute conversational capabilities of AI chatbots are enhancing customer engagement, streamlining operations, and transforming how businesses interact with users. As technology evolves, the future of AI chatbots holds revolutionary advancements that will redefine their capabilities. So, let’s start with exploring the AI chatbot trends: Future […]

  • Linguistics and NLP: Enhancing AI Chatbots for Multilingual Support

    In today’s interconnected world, businesses and individuals often communicate across linguistic boundaries. The growing need for seamless communication has driven significant advancements in artificial intelligence (AI), particularly in natural language processing (NLP) and linguistics. AI chatbots with multilingual support, are revolutionizing global customer engagement and service delivery. This blog explores how linguistics and NLP are […]

Click to Copy