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

  • Agentic AI Explained: Definition, Benefits, Challenges and Use Cases

    Artificial Intelligence (AI) has evolved significantly, transitioning from rule-based systems to more dynamic, learning-based models. Among the latest advancements is Agentic AI, an AI paradigm that enhances autonomy, decision-making, and self-improvement capabilities. Unlike traditional AI, which primarily follows predefined rules or models, Agentic AI exhibits goal-oriented behavior, adapts to complex environments, and makes decisions with […]

  • AI in payment: Key applications, advantages, and regulatory considerations

    The financial landscape is undergoing a profound transformation, driven by the rapid advancements in artificial intelligence (AI). From enhancing security to streamlining transactions, AI is revolutionizing how we make payments, making the process faster, safer, and more seamless. The global AI in payments market is projected to reach an impressive USD 12.7 billion by 2026, […]

  • Generative AI for IT: Integration approaches, use cases, challenges, ROI evaluation and future outlook

    Generative AI is a game-changer in the IT sector, driving significant cost reductions and operational efficiencies. According to a BCG analysis, Generative AI (GenAI) has the potential to deliver up to 10% savings on IT spending—a transformation that is reshaping multiple facets of technology. The impact is especially profound in application development, where nearly 75% […]

  • Generative AI in Manufacturing: Integration approaches, use cases and future outlook

    Generative AI is reshaping manufacturing by providing advanced solutions to longstanding challenges in the industry. With its ability to streamline production, optimize resource allocation, and enhance quality control, GenAI offers manufacturers new levels of operational efficiency and innovation. Unlike traditional automation, which primarily focuses on repetitive tasks, GenAI enables more dynamic and data-driven decision-making processes, […]

  • Generative AI in Healthcare: Integration, use cases, challenges, ROI, and future outlook

    Generative AI (GenAI) is revolutionizing the healthcare industry, enabling enhanced patient care, operational efficiency, and advanced decision-making. From automating administrative workflows to assisting in clinical diagnoses, GenAI is reshaping how healthcare providers, payers, and technology firms deliver services. A Q1 2024 survey of 100 US healthcare leaders revealed that over 70% have already implemented or […]

  • Generative AI in Hospitality: Integration, Use Cases, Challenges, and Future Outlook

    Generative AI is revolutionizing the hospitality industry, redefining guest experiences, and streamlining operations with intelligent automation. According to market research, the generative AI market in the hospitality sector was valued at USD 16.3 billion in 2023 and is projected to skyrocket to USD 439 billion by 2033, reflecting an impressive CAGR of 40.2% from 2024 […]

Click to Copy