How do I restore purchases across devices in Swift?

Restoring purchases across devices in Swift is essential for providing a seamless user experience. This involves implementing the StoreKit framework to handle in-app purchases and ensuring that users' purchases can be restored when they switch devices or reinstall the app.

Here’s a basic implementation example of restoring purchases in Swift:

// Import the StoreKit framework import StoreKit class InAppPurchaseManager: NSObject, SKProductsRequestDelegate, SKPaymentTransactionObserver { func restorePurchases() { SKPaymentQueue.default().add(self) SKPaymentQueue.default().restoreCompletedTransactions() } func paymentQueue(_ queue: SKPaymentQueue, updatedTransactions transactions: [SKPaymentTransaction]) { for transaction in transactions { switch transaction.transactionState { case .restored: // Unlock the feature associated with the restored transaction unlockFeature(forProductIdentifier: transaction.payment.productIdentifier) SKPaymentQueue.default().finishTransaction(transaction) case .failed: // Handle failed transaction SKPaymentQueue.default().finishTransaction(transaction) default: break } } } func unlockFeature(forProductIdentifier productIdentifier: String) { // Unlock the feature based on the product identifier print("Feature unlocked for product: \(productIdentifier)") } }

swift restore purchases in-app purchases StoreKit iOS development user experience

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?