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Introduction to async/await in Swift

learningcode_x1mckf by learningcode_x1mckf
September 15, 2022
in Swift
0
Introduction to async/await in Swift
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The primary mission

Swift 5.5 incorporates numerous new options, most of them is all about “a greater concurrency mannequin” for the language. The very first step into this new asynchronous world is a correct async/await system.


If you’re excited about these new experimental API’s you must obtain the most recent Swift 5.5 improvement snapshot from the swift.org/download web page. If you’re utilizing Xcode, please remember to pick out the right toolchain utilizing the preferences / elements tab.


In fact you possibly can nonetheless use common completion blocks or the Dispatch framework to write down async code, however looks as if the way forward for Swift entails a local strategy to deal with concurrent duties even higher. There may be mix as nicely, however that is solely obtainable for Apple platforms, so yeah… 🥲


Let me present you find out how to convert your previous callback & outcome sort based mostly Swift code right into a shiny new async/await supported API. First we’re going to create our experimental async SPM mission.


import PackageDescription

let package deal = Package deal(
    identify: "AsyncSwift",
    merchandise: [
        .executable(name: "AsyncSwift", targets: ["AsyncSwift"])
    ],
    dependencies: [
        
    ],
    targets: [
        .executableTarget(name: "AsyncSwift",
                          swiftSettings: [
                            .unsafeFlags([
                                "-parse-as-library",
                                "-Xfrontend", "-disable-availability-checking",
                                "-Xfrontend", "-enable-experimental-concurrency",
                            ])
                          ]
        ),
        .testTarget(identify: "AsyncSwiftTests", dependencies: ["AsyncSwift"]),
    ]
)


You might need observed that we’re utilizing the most recent swift-tools-version:5.4 and we added just a few unsafe flags for this mission. It is because we will use the brand new @primary attribute contained in the executable package deal goal, and the concurrency API requires the experimental flag to be current.


Now we must always create a primary entry level inside our primary.swift file. Since we’re utilizing the @main attribute it’s potential to create a brand new struct with a static primary technique that may be routinely launched once you construct & run your mission utilizing Xcode or the command line. 🚀


@primary
struct MyProgram 

    static func primary() 
        print("Hey, world!")
    


Now that we have now a clear primary entry level, we must always add some normal URLSession associated performance that we’re going to substitute with new async/await calls as we refactor the code.

We’re going name our traditional pattern todo service and validate our HTTP response. To get extra particular particulars of a potential error, we will use a easy HTTP.Error object, and naturally as a result of the dataTask API returns instantly we have now to make use of the dispatchMain() name to attend for the asynchronous HTTP name. Lastly we merely swap the result type and exit if wanted. ⏳


import Basis
import _Concurrency  

enum HTTP 
    enum Error: LocalizedError 
        case invalidResponse
        case badStatusCode
        case missingData
    


struct Todo: Codable 
    let id: Int
    let title: String
    let accomplished: Bool
    let userId: Int


func getTodos(completion: @escaping (Outcome<[Todo], Error>) -> Void) 
    let req = URLRequest(url: URL(string: "https://jsonplaceholder.typicode.com/todos")!)
    let job = URLSession.shared.dataTask(with: req)  information, response, error in
        guard error == nil else  
            return completion(.failure(error!))
        
        guard let response = response as? HTTPURLResponse else 
            return completion(.failure(HTTP.Error.invalidResponse))
        
        guard 200...299 ~= response.statusCode else 
            return completion(.failure(HTTP.Error.badStatusCode))
        
        guard let information = information else 
            return completion(.failure(HTTP.Error.missingData))
        
        do 
            let decoder = JSONDecoder()
            let todos = attempt decoder.decode([Todo].self, from: information)
            return completion(.success(todos))
        
        catch 
            return completion(.failure(error))
        
    
    job.resume()


@primary
struct MyProgram 

    static func primary() 
        getTodos  outcome in
            swap outcome 
            case .success(let todos):
                print(todos.rely)
                exit(EXIT_SUCCESS)
            case .failure(let error):
                fatalError(error.localizedDescription)
            
            
        
        dispatchMain()
    

If you happen to keep in mind I already confirmed you the Combine version of this URLSession data task call some time again, however as I discussed this Mix just isn’t solely obtainable for iOS, macOS, tvOS and watchOS.


Async/await and unsafe continuation

So how can we convert our current code into an async variant? Nicely, the excellent news is that there’s a technique known as withUnsafeContinuation that you should utilize to wrap current completion block based mostly calls to supply async variations of your features. The short and soiled answer is that this:


import Basis
import _Concurrency

 

func getTodos() async -> Outcome<[Todo], Error> 
    await withUnsafeContinuation  c in
        getTodos  outcome in
            c.resume(returning: outcome)
        
    


@primary
struct MyProgram 

    static func primary() async 
        let outcome = await getTodos()
        swap outcome 
        case .success(let todos):
            print(todos.rely)
            exit(EXIT_SUCCESS)
        case .failure(let error):
            fatalError(error.localizedDescription)
        
    


The continuations proposal was born to offer us the mandatory API to work together with synchronous code. The withUnsafeContinuation perform provides us a block that we will use to renew with the generic async return sort, this manner it’s ridiculously straightforward to quickly write an async model of an current the callback based mostly perform. As at all times, the Swift developer group did a terrific job right here. 👍


One factor you might need observed, that as a substitute of calling the dispatchMain() perform we have modified the primary perform into an async perform. Nicely, the factor is that you may’t merely name an async perform inside a non-async (synchronous) technique. ⚠️


Interacting with sync code

So as to name an async technique inside a sync technique, you must use the brand new detach perform and you continue to have to attend for the async features to finish utilizing the dispatch APIs.


import Basis
import _Concurrency



@primary
struct MyProgram 

    static func primary() 
        detach 
            let outcome = await getTodos()
            swap outcome 
            case .success(let todos):
                print(todos.rely)
                exit(EXIT_SUCCESS)
            case .failure(let error):
                fatalError(error.localizedDescription)
            
        
        dispatchMain()
    


In fact you possibly can name any sync and async technique inside an async perform, so there aren’t any restrictions there. Let me present you yet another instance, this time we will use the Grand Central Dispatch framework, return just a few numbers and add them asynchronously.


Serial vs concurrent execution


Think about a typical use-case the place you need to mix (pun meant) the output of some lengthy operating async operations. In our instance we will calculate some numbers asynchronously and we might wish to sum the outcomes afterwards. Let’s look at the next code…


import Basis
import _Concurrency

func calculateFirstNumber() async -> Int 
    print("First quantity is now being calculated...")
    return await withUnsafeContinuation  c in
        DispatchQueue.primary.asyncAfter(deadline: .now() + 2) 
            print("First quantity is now prepared.")
            c.resume(returning: 42)
        
    


func calculateSecondNumber() async -> Int 
    print("Second quantity is now being calculated...")
    return await withUnsafeContinuation  c in
        DispatchQueue.primary.asyncAfter(deadline: .now() + 1) 
            print("Second quantity is now prepared.")
            c.resume(returning: 6)
        
    


func calculateThirdNumber() async -> Int 
    print("Third quantity is now being calculated...")
    return await withUnsafeContinuation  c in
        DispatchQueue.primary.asyncAfter(deadline: .now() + 3) 
            print("Third quantity is now prepared.")
            c.resume(returning: 69)
        
    


@primary
struct MyProgram {

    static func primary() async 
        let x = await calculateFirstNumber()
        let y = await calculateSecondNumber()
        let z = await calculateThirdNumber()
        print(x + y + z)
    



As you possibly can see these features are asynchronous, however they’re nonetheless executed one after one other. It actually does not matter should you change the primary queue into a distinct concurrent queue, the async job itself just isn’t going to fireplace till you name it with await. The execution order is at all times serial. 🤔


Spawn duties utilizing async let


It’s potential to vary this conduct by utilizing the model new async let syntax. If we transfer the await key phrase only a bit down the road we will fireplace the async duties immediately by way of the async let expressions. This new function is a part of the structured concurrency proposal.




@primary
struct MyProgram 

    static func primary() async 
        async let x = calculateFirstNumber()
        async let y = calculateSecondNumber()
        async let z = calculateThirdNumber()

        let res = await x + y + z
        print(res)
    



Now the execution order is concurrent, the underlying calculation nonetheless occurs in a serial manner on the primary queue, however you’ve got acquired the concept what I am making an attempt to indicate you right here, proper? 😅

Anyway, merely including the async/await function right into a programming language will not resolve the extra advanced points that we have now to cope with. Luckily Swift can have nice help to async job administration and concurrent code execution. I am unable to wait to write down extra about these new options. See you subsequent time, there’s a lot to cowl, I hope you may discover my async Swift tutorials helpful. 👋




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