If you're an iOS developer, you're probably familiar with the concept of asynchronous programming. Asynchronous programming allows you to execute code in the background without freezing the user interface, making your app more responsive and user-friendly. In Swift, we use the async keyword to denote asynchronous code blocks.
Creating an asynchronous task in Swift is relatively simple. All you need to do is to add the async keyword before the function name. Below is an example of a simple asynchronous function that prints "Hello World" after a three-second delay using async:
func printHelloWorld() async {
await Task.sleep(3_000_000_000) // Wait for 3 seconds
print("Hello World")
}
In the example above, we added the async keyword before the function name printHelloWorld
. We then used the await keyword to make the function wait for three seconds using the Task.sleep
method. After waiting, the function prints "Hello World".
There are several APIs in Swift that work well with the async keyword. For example, you can use async
and await
to fetch data from remote APIs. Below is an example of fetching data using an asynchronous API:
func fetchData() async throws -> [String] {
let url = URL(string: "https://jsonplaceholder.typicode.com/todos")!
let (data, _) = try await URLSession.shared.data(from: url)
let json = try JSONSerialization.jsonObject(with: data) as! [[String: Any]]
return json.map { $0["title"] as! String }
}
In the example above, we used the async
keyword to create an asynchronous function that fetches data from a remote API using URLSession.shared.data
. After fetching data, the function uses JSONSerialization.jsonObject
to parse the response into a Swift array of [String : Any]
dictionary. Finally, the function maps the array of dictionaries to an array of titles and returns it.
In conclusion, the use of the async keyword in Swift improves the performance and responsiveness of your code. With the async
and await
keywords, you can write async code that looks and feels like synchronous code. This feature is particularly useful when working with APIs that take time to return data, as it allows your app to perform other tasks concurrently without freezing the user interface.