Measuring SwiftData Performance with ContinuousClock скачать в хорошем качестве

Measuring SwiftData Performance with ContinuousClock

🚀 SwiftUI E-commerce Masterclass: Build a Full-Stack App in 2025! 🛍️ Link to Complete 26+ hour Course and Source Code: https://patrickwaga.gumroad.com/l/gkjaw 🎓 First 12 hours of the complete 26-hour project available for free on this channel! 👉🏿   • SwiftUI Ecommerce FullStack (Stripe, Swift...   Tired of complex tools like Instruments or verbose SQL debugging logs just to check how long your Swift Data operations take? In this video, we use the simplest and fastest method to measure the performance of your Swift Data code: the ContinuousClock API, available since iOS 16. Learn how ContinuousClock works with a simple trailing closure to time any block of code, making Swift Data benchmarking straightforward and easy. What you'll learn: Why ContinuousClock is often better than Instruments or SQL debugging for quick performance checks. How to implement ContinuousClock to measure Swift Data operations. A practical demonstration involving creating, updating, and deleting 100,000 records in Swift Data. Performance comparison: See the dramatic speed difference between deleting records en masse vs. looping and deleting individually. Real-world timing examples for create , bulk delete , looped delete, and update operations on a large dataset.