actor reentrancy
Generated on 8/31/2024
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Actor reentrancy in Swift is a concept related to how actors handle concurrent access to their state. Actors in Swift are designed to protect their state by serializing access, meaning only one task can execute at a time on an actor. This ensures that concurrent accesses are safe and prevents data races.
In the context of Swift, actor reentrancy refers to the ability of an actor to handle new incoming messages while it is already processing a message. This can be particularly useful in scenarios where an actor needs to wait for an asynchronous operation to complete and can process other messages in the meantime.
For more details on actors and concurrency in Swift, you can refer to the session titled "A Swift Tour: Explore Swift’s features and design" from WWDC 2024. The discussion on concurrency and actors starts at the chapter marker for concurrency. You can view it here.
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.
What’s new in Swift
Join us for an update on Swift. We’ll briefly go through a history of Swift over the past decade, and show you how the community has grown through workgroups, expanded the package ecosystem, and increased platform support. We’ll introduce you to a new language mode that achieves data-race safety by default, and a language subset that lets you run Swift on highly constrained systems. We’ll also explore some language updates including noncopyable types, typed throws, and improved C++ interoperability.
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.