--- name: swift-actor-persistence description: Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design. --- # Swift Actors for Thread-Safe Persistence Patterns for building thread-safe data persistence layers using Swift actors. Combines in-memory caching with file-backed storage, leveraging the actor model to eliminate data races at compile time. ## When to Activate - Building a data persistence layer in Swift 5.5+ - Need thread-safe access to shared mutable state - Want to eliminate manual synchronization (locks, DispatchQueues) - Building offline-first apps with local storage ## Core Pattern ### Actor-Based Repository The actor model guarantees serialized access — no data races, enforced by the compiler. ```swift public actor LocalRepository where T.ID == String { private var cache: [String: T] = [:] private let fileURL: URL public init(directory: URL = .documentsDirectory, filename: String = "data.json") { self.fileURL = directory.appendingPathComponent(filename) // Synchronous load during init (actor isolation not yet active) self.cache = Self.loadSynchronously(from: fileURL) } // MARK: - Public API public func save(_ item: T) throws { cache[item.id] = item try persistToFile() } public func delete(_ id: String) throws { cache[id] = nil try persistToFile() } public func find(by id: String) -> T? { cache[id] } public func loadAll() -> [T] { Array(cache.values) } // MARK: - Private private func persistToFile() throws { let data = try JSONEncoder().encode(Array(cache.values)) try data.write(to: fileURL, options: .atomic) } private static func loadSynchronously(from url: URL) -> [String: T] { guard let data = try? Data(contentsOf: url), let items = try? JSONDecoder().decode([T].self, from: data) else { return [:] } return Dictionary(uniqueKeysWithValues: items.map { ($0.id, $0) }) } } ``` ### Usage All calls are automatically async due to actor isolation: ```swift let repository = LocalRepository() // Read — fast O(1) lookup from in-memory cache let question = await repository.find(by: "q-001") let allQuestions = await repository.loadAll() // Write — updates cache and persists to file atomically try await repository.save(newQuestion) try await repository.delete("q-001") ``` ### Combining with @Observable ViewModel ```swift @Observable final class QuestionListViewModel { private(set) var questions: [Question] = [] private let repository: LocalRepository init(repository: LocalRepository = LocalRepository()) { self.repository = repository } func load() async { questions = await repository.loadAll() } func add(_ question: Question) async throws { try await repository.save(question) questions = await repository.loadAll() } } ``` ## Key Design Decisions | Decision | Rationale | |----------|-----------| | Actor (not class + lock) | Compiler-enforced thread safety, no manual synchronization | | In-memory cache + file persistence | Fast reads from cache, durable writes to disk | | Synchronous init loading | Avoids async initialization complexity | | Dictionary keyed by ID | O(1) lookups by identifier | | Generic over `Codable & Identifiable` | Reusable across any model type | | Atomic file writes (`.atomic`) | Prevents partial writes on crash | ## Best Practices - **Use `Sendable` types** for all data crossing actor boundaries - **Keep the actor's public API minimal** — only expose domain operations, not persistence details - **Use `.atomic` writes** to prevent data corruption if the app crashes mid-write - **Load synchronously in `init`** — async initializers add complexity with minimal benefit for local files - **Combine with `@Observable`** ViewModels for reactive UI updates ## Anti-Patterns to Avoid - Using `DispatchQueue` or `NSLock` instead of actors for new Swift concurrency code - Exposing the internal cache dictionary to external callers - Making the file URL configurable without validation - Forgetting that all actor method calls are `await` — callers must handle async context - Using `nonisolated` to bypass actor isolation (defeats the purpose) ## When to Use - Local data storage in iOS/macOS apps (user data, settings, cached content) - Offline-first architectures that sync to a server later - Any shared mutable state that multiple parts of the app access concurrently - Replacing legacy `DispatchQueue`-based thread safety with modern Swift concurrency