Simplifying Asynchronous Code in iOS Development: Comparing Async/Await to GCD and Combine

Photo by Max Duzij on UnsplashFor years, iOS developers have relied on GCD and completion handlers to manage asynchronous tasks. However, these tools can lead to code that’s hard to read, write, and maintain. With the introduction of async/await in Swi…


This content originally appeared on Level Up Coding - Medium and was authored by Anurag Pandey

Photo by Max Duzij on Unsplash

For years, iOS developers have relied on GCD and completion handlers to manage asynchronous tasks. However, these tools can lead to code that’s hard to read, write, and maintain. With the introduction of async/await in Swift 5.5 and Combine in iOS 13, managing asynchronous code has become much easier and more intuitive.

Async/await is a new approach to managing asynchronous tasks that makes code easier to read, write, and understand. It’s based on the idea of coroutines, which are lightweight threads that can be paused and resumed at specific points in the code. With async/await, developers can write asynchronous code that looks and behaves like synchronous code, which is easier to reason about and less error-prone.

One of the key benefits of async/await is that it reduces the amount of boilerplate code required to manage asynchronous tasks. Instead of dealing with callbacks and nested closures, developers can write code that looks like a sequence of synchronous statements. For example, here’s how you might download an image from a URL using GCD:

let url = URL(string: "https://example.com/image.jpg")!
let queue = DispatchQueue.global(qos: .userInitiated)
queue.async {
let data = try! Data(contentsOf: url)
DispatchQueue.main.async {
let image = UIImage(data: data)!
// update UI with image
}
}

And here’s the same code using async/await:

let url = URL(string: "https://example.com/image.jpg")!
let data = try! await URLSession.shared.data(from: url)
let image = UIImage(data: data)!
// update UI with image

As you can see, the async/await code is much cleaner and easier to read. There are no callbacks or nested closures, and the code appears to execute sequentially.

Combine is another approach to managing asynchronous tasks in iOS development. It’s a declarative programming framework that allows developers to write code that reacts to events in a stream of data. For example, here’s how you might download an image using Combine:

let url = URL(string: "https://example.com/image.jpg")!
let cancellable = URLSession.shared.dataTaskPublisher(for: url)
.map { $0.data }
.replaceError(with: Data())
.map { UIImage(data: $0) }
.replaceNil(with: UIImage())
.receive(on: DispatchQueue.main)
.sink { image in
// update UI with image
}

This code uses a publisher to download the image, transform the data into a UIImage, and replace any errors or nil values with default values. It then uses a sink to receive the final value on the main thread and update the UI. While this code may look complex at first glance, it offers the benefits of reactive programming and can be much easier to reason about than traditional callback-based code.

In comparison, async/await offers a simpler and more intuitive way to manage asynchronous tasks. While Combine can be powerful in certain scenarios, it can also lead to complex and hard-to-read code. Async/await, on the other hand, offers a natural and familiar way to write asynchronous code that behaves like synchronous code.

Conclusion

Async/await and Combine are both powerful tools for managing asynchronous tasks in iOS development. Async/await simplifies code, reduces boilerplate, and improves error handling, while Combine offers the benefits of reactive programming and event-driven design. Developers should consider both options when writing asynchronous code, and choose the one that best fits their needs and preferences.

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Simplifying Asynchronous Code in iOS Development: Comparing Async/Await to GCD and Combine was originally published in Level Up Coding on Medium, where people are continuing the conversation by highlighting and responding to this story.


This content originally appeared on Level Up Coding - Medium and was authored by Anurag Pandey


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