Denormalization in Core Data скачать в хорошем качестве

Denormalization in Core Data

In this video, we will explore how to optimize the performance of your iOS or macOS app using Core Data. We will focus on the concept of denormalization, which involves duplicating data for efficiency to improve fetch performance. We will take a look at a specific example of using an HStack to display the author's name and the number of movies and how this can be quite expensive due to the relationship fault that needs to be fulfilled for each movie. We will discuss how denormalization can be a powerful tool to improve your app's performance and how to implement it correctly by ensuring the model class automatically updates the duplicated attributes and keeps them read-only. Additionally, we will also discuss the trade-offs of denormalization and the effort required to keep the denormalized attributes up to date. This video is a must-watch for any developer looking to optimize their app's data management using denormalization in Core Data. -------------------------------------------------------------------------------------------------------------------- Contents of the video 00:00 - Intro 02:50 - Using Xcode-derived attribute 05:16 - Custom-derived attribute 09:08 - Conclusion