Seamless Digital Experience.
Happy Customers.

Digital Experience and Error Monitoring Platform - Zipy

Guide to Handling Javascript Promise Rejection: Solving Common Errors and Debugging Techniques

Karthik MSN
~ 3 min read | Published on Feb 28, 2024





TABLE OF CONTENT

Fix bugs faster with Zipy!

  • Session replay
  • Network calls
  • Console Logs
  • Stack traces
  • User identification
Get Started for Free

Introduction

In the fast-paced world of web development, mastering the art of handling Javascript Promise Rejection is crucial for both the health of your applications and the sanity of your development process. Whether you're a seasoned Javascript developer or just getting your feet wet, understanding the intricacies of Promise Rejection in Javascript can save you countless hours of debugging and headaches. In this article, we'll delve deep into the common pitfalls that lead to promise rejections, explore practical scenarios with solutions, and introduce an innovative tool for Debugging Promise Rejection in Javascript.\

Catch errors proactively with Zipy. Sign up for free!

Try Zipy now

Understanding Promise Rejection in Javascript

Promise rejections occur when a promised operation fails, signaling that the expected outcome is not achievable. Recognizing and handling Promise Rejection in Javascript effectively is paramount for maintaining smooth application performance and ensuring a seamless user experience. Let's explore some common scenarios that result in promise rejections and how to address them.

Scenario 1

Error code

fetch('/api/data')
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error('Error:', error));

Corrected code

// Added check for response.ok to handle non-2xx responses as rejections
fetch('/api/data')
  .then(response => {
    if (!response.ok) throw new Error('Network response was not ok');
    return response.json();
  })
  .then(data => console.log(data))
  .catch(error => console.error('Error:', error));

Solution Summary

The correction involves checking the response.ok property to ensure the request was successful. If not, it throws an error, effectively converting HTTP error statuses into promise rejections that can be caught by the .catch block.

Scenario 2

Error code

new Promise((resolve, reject) => {
  reject('Failed operation');
})
.then(result => console.log(result))
.catch(error => console.error(error));

Corrected code

// Handling the rejection immediately with catch to avoid uncaught promise rejections
new Promise((resolve, reject) => {
  reject('Failed operation');
})
.catch(error => console.error('Error:', error)) // Correctly handling the rejection
.then(result => console.log(result));

Solution Summary

The issue is addressed by rearranging the .catch() method to catch the rejection before attempting to process the result. This ensures that errors are handled gracefully and logged appropriately.

Scenario 3

Error code

async function fetchData() {
  let response = await fetch('/api/data');
  let data = await response.json();
  console.log(data);
}

Corrected code

// Added try-catch block to handle potential rejections from fetch or response.json()
async function fetchData() {
  try {
    let response = await fetch('/api/data');
    if (!response.ok) throw new Error('Network response was not ok');
    let data = await response.json();
    console.log(data);
  } catch (error) {
    console.error('Error:', error);
  }
}

Solution Summary

Incorporating a try-catch block allows for elegant handling of asynchronous errors, ensuring that promise rejections are caught and dealt with efficiently.

Handling Promise Rejection in Javascript

Effective error handling in Javascript promises involves anticipating failure points and intercepting them with .catch() blocks or try-catch constructs in async functions. This proactive approach to Fix Javascript Promise Rejection ensures that your application remains robust and user-friendly.

Proactive Error Debugging with Zipy

To further streamline the debugging process, tools like Zipy come into play. Zipy enhances your ability to debug runtime Javascript errors with proactive error monitoring and user session replay capabilities. By integrating Zipy into your development workflow, you can quickly identify and address promise rejections, minimizing downtime and improving the overall quality of your applications.

Debug and fix code errors with Zipy Error Monitoring.

Sign up for free

Conclusion

Understanding and handling Javascript Promise Rejection effectively is a key skill in the arsenal of modern web developers. By following the strategies and examples outlined in this article, developers can mitigate common errors and enhance their debugging processes. Remember, tools like Zipy are invaluable for maintaining high-quality, error-free applications.

Resources on how to debug and fix Javascript Errors

Frequently Asked Questions

Why do promises get rejected in Javascript?

Promises are rejected when an operation fails or an error is thrown during the execution of the promise. This can be due to network issues, bad input, or other runtime errors.

How can I catch all unhandled promise rejections?

You can listen for the unhandledrejection event on the window object to catch all unhandled promise rejections globally.

Is it possible to retry a rejected promise?

Yes, you can implement a retry mechanism by catching the rejection and attempting the operation again.

What is the difference between.catch() andtry-catch in handling promises?

.catch() is used with promise chains, while try-catch is used in async/await functions. Both serve to catch errors in asynchronous code.

Can async/await syntax prevent promise rejections?

Async/await syntax doesn't prevent rejections but provides a more synchronous way to handle them using try-catch blocks.

Key Takeaways

  • Always check for potential errors in your promise chains or async functions to prevent unhandled rejections.
  • Use.catch() ortry-catch to gracefully handle errors and keep your application running smoothly.
  • Implementing error checks such as response.ok in fetch requests can save you from unexpected failures.
  • Tools like Zipy can dramatically enhance your debugging workflow, making it easier to track down and fix promise rejections.

Call to Action

Feel free to comment or write to us in case you have any further questions at support@zipy.ai. We would be happy to help you. In case you want to explore for your app, you can sign up or book a demo.











Fix bugs faster with Zipy!

Get Started for Free
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Want to solve customer bugs even before they're reported?

The unified digital experience platform to drive growth with Product Analytics, Error Tracking, and Session Replay in one.

SOC 2 Type 2
Zipy is GDPR and SOC2 Type II Compliant
© 2023 Zipy Inc. | All rights reserved
with
by folks just like you