How to use “async” and “await” Function in Javascript with error handling?

Because of the callback-based structure of JavaScript, controlling asynchronous activities has always proven difficult. However, handling asynchronous tasks has become more readable and intuitive with the addition of the async and await syntax. In this article, we’ll explore the ideas of async and await functions and see how they make asynchronous programming in JavaScript easier.

Getting to Know Asynchronous Programming

Asynchronous programming is essential for managing time-consuming operations in modern JavaScript development, such as obtaining data from APIs, reading files, or anticipating user events. Traditional callback-based strategies like Promise chaining may result in code that is difficult to comprehend and complex. Thankfully, asynchronous programming has been transformed by the addition of async and await, making it easier to read and manage. In this blog post, we’ll look at how JavaScript’s async and await methods can help you write asynchronous code more quickly.

The Keyword “async”

An asynchronous function is defined with the ‘async’ keyword. The ‘await’ keyword enables you to halt the execution of the function until the promise is fulfilled or refused because ‘async’ functions always return promises.

Here is Example

async function getData(){         // Asynchronous processes          return Data;    }
Code language: JavaScript (javascript)

The Keyword “await”

The ‘async’ function must be the sole place where the ‘await’ keyword is used. The function’s execution is suspended until the promise that was supplied to it is fulfilled. This creates an asynchronous environment with a synchronous-like flow.

Here is Example

async function getUserData(userID) { try { const response = await fetch(`/user/${userID}`); const userData = await response.json(); return userData; } catch (error) { console.log("Error Getting user data:", error); } }
Code language: JavaScript (javascript)

Managing Error

You can gracefully manage errors by combining ‘async’ and ‘await’ functions with ‘try’ and ‘catch’ blocks. The closest catch block will capture the error if any awaited promise is refused.

Here is Example

async function getMultipleData(URLS) { try { const promises = URLS.map(url => fetch(url)); const responses = await Promise.all(promises); const data = await Promise.all(responses.map(response => response.json())); return data; } catch (error) { console.error('Error getting Data:', error); throw error; } }
Code language: JavaScript (javascript)

Async and Await’s advantages include

1. Readability: Async and await allow for more linear, easier-to-understand code than deeply nested callback functions or protracted Promise chains.

2. Error Handling: Synchronous try…catch blocks make it easier to handle errors.

3. Debugging: Because you can step through the code much like synchronous code, debugging asynchronous programming is simpler.

Conclusion

Asynchronous JavaScript programming has significantly advanced thanks to ‘async’ and ‘await’. When working with asynchronous processes, they enable developers to produce code that is cleaner, more understandable, and less prone to errors. You can make JavaScript apps that are easier to maintain and more productive by utilizing the ‘async’ and ‘await’ features.

We’ve discussed the fundamentals of async and await in this blog article, shown how to use them to retrieve data from APIs, and discussed their advantages. As you gain experience, you’ll develop the ability to write asynchronous code that is not only useful but also understandable, opening the door to more pleasurable and effective JavaScript development.

Recent Post

  • What is Knowledge Distillation? Simplifying Complex Models for Faster Inference

    As AI models grow increasingly complex, deploying them in real-time applications becomes challenging due to their computational demands. Knowledge Distillation (KD) offers a solution by transferring knowledge from a large, complex model (the “teacher”) to a smaller, more efficient model (the “student”). This technique allows for significant reductions in model size and computational load without […]

  • Priority Queue in Data Structures: Characteristics, Types, and C Implementation Guide

    In the realm of data structures, a priority queue stands as an advanced extension of the conventional queue. It is an abstract data type that holds a collection of items, each with an associated priority. Unlike a regular queue that dequeues elements in the order of their insertion (following the first-in, first-out principle), a priority […]

  • SRE vs. DevOps: Key Differences and How They Work Together

    In the evolving landscape of software development, businesses are increasingly focusing on speed, reliability, and efficiency. Two methodologies, Site Reliability Engineering (SRE) and DevOps, have gained prominence for their ability to accelerate product releases while improving system stability. While both methodologies share common goals, they differ in focus, responsibilities, and execution. Rather than being seen […]

  • Moving Beyond Traditional Chatbots: Autonomous Agents Redefining Business Operations

    What if your business could operate on autopilot, with AI systems making crucial decisions and managing tasks in real time? Imagine autonomous agents—advanced AI systems capable of making decisions and performing tasks without constant human oversight—transforming your operations. From streamlining workflows to performing seamless customer interactions, these smart agents promise to redefine efficiency and innovation.  […]

  • Mastering Large Action Models: Unleashing Potential and Navigating Complex Challenges in AI

    Imagine an AI assistant that doesn’t just follow commands but anticipates your needs, makes decisions for you, and carries out tasks autonomously. This is the promise of Large Action Models (LAMs), a revolutionary step beyond current AI capabilities. Unlike traditional AI, which reacts to commands, LAMs can think ahead and manage complex scenarios without human […]

  • Harnessing Multimodal AI: A Comprehensive Guide to the Future of Data-Driven Decision Making

    Artificial Intelligence (AI) has been evolving at an astonishing pace, pushing the boundaries of what machines can achieve. Traditionally, AI systems handles single-modal inputs—meaning they could process one type of data at a time, such as text, images, or audio. However, the recent advancements in AI have brought us into the age of multimodal AI, […]

Click to Copy