quelle est la différence entre ObservableObject et StateObject
Generated on 9/6/2024
1 search
La différence entre ObservableObject
et StateObject
dans SwiftUI réside principalement dans la manière dont ils gèrent l'état et les dépendances des vues.
-
ObservableObject: C'est un protocole que vous pouvez adopter dans vos classes pour permettre à SwiftUI de surveiller les changements d'état. Lorsque vous utilisez
@ObservedObject
dans une vue, vous indiquez que la vue doit se mettre à jour lorsque l'objet observé change. Cependant, la vue ne gère pas le cycle de vie de l'objet observé. Cela signifie que vous devez vous assurer que l'objet reste en mémoire aussi longtemps que nécessaire. -
StateObject: Introduit pour résoudre certains des problèmes liés à
ObservableObject
,@StateObject
est utilisé pour créer et gérer le cycle de vie d'un objet observable. Lorsque vous utilisez@StateObject
, SwiftUI crée et conserve l'objet pour vous, garantissant qu'il reste en mémoire tant que la vue est en vie. C'est particulièrement utile pour les objets qui doivent être initialisés une seule fois et conservés tout au long de la durée de vie de la vue.
Pour plus de détails sur la gestion de l'état dans SwiftUI, vous pouvez consulter la session SwiftUI essentials.
Bring your machine learning and AI models to Apple silicon
Learn how to optimize your machine learning and AI models to leverage the power of Apple silicon. Review model conversion workflows to prepare your models for on-device deployment. Understand model compression techniques that are compatible with Apple silicon, and at what stages in your model deployment workflow you can apply them. We’ll also explore the tradeoffs between storage size, latency, power usage and accuracy.
Create a custom data store with SwiftData
Combine the power of SwiftData’s expressive, declarative modeling API with your own persistence backend. Learn how to build a custom data store and explore how to progressively add persistence features in your app. To get the most out of this session, watch “Meet SwiftData” and “Model your schema with SwiftData” from WWDC23.
Migrate your app to Swift 6
Experience Swift 6 migration in action as we update an existing sample app. Learn how to migrate incrementally, module by module, and how the compiler helps you identify code that’s at risk of data races. Discover different techniques for ensuring clear isolation boundaries and eliminating concurrent access to shared mutable state.
A Swift Tour: Explore Swift’s features and design
Learn the essential features and design philosophy of the Swift programming language. We’ll explore how to model data, handle errors, use protocols, write concurrent code, and more while building up a Swift package that has a library, an HTTP server, and a command line client. Whether you’re just beginning your Swift journey or have been with us from the start, this talk will help you get the most out of the language.
Track model changes with SwiftData history
Reveal the history of your model’s changes with SwiftData! Use the history API to understand when data store changes occurred, and learn how to use this information to build features like remote server sync and out-of-process change handing in your app. We’ll also cover how you can build support for the history API into a custom data store.
SwiftUI essentials
Join us on a tour of SwiftUI, Apple’s declarative user interface framework. Learn essential concepts for building apps in SwiftUI, like views, state variables, and layout. Discover the breadth of APIs for building fully featured experiences and crafting unique custom components. Whether you’re brand new to SwiftUI or an experienced developer, you’ll learn how to take advantage of what SwiftUI has to offer when building great apps.
What’s new in Xcode 16
Discover the latest productivity and performance improvements in Xcode 16. Learn about enhancements to code completion, diagnostics, and Xcode Previews. Find out more about updates in builds and explore improvements in debugging and Instruments.
Deploy machine learning and AI models on-device with Core ML
Learn new ways to optimize speed and memory performance when you convert and run machine learning and AI models through Core ML. We’ll cover new options for model representations, performance insights, execution, and model stitching which can be used together to create compelling and private on-device experiences.