Optimizing Core Data Fetch Requests for Large Datasets in iOS 17 - Performance Issues
I've encountered a strange issue with I've hit a wall trying to I can't seem to get While working on an iOS 17 application that relies heavily on Core Data, I've come across performance bottlenecks during fetch requests on large datasets... The app is designed to handle thousands of records, and responsiveness has become a concern, especially when users scroll through a list of items. I've experimented with batch fetching to alleviate the load, but I still find that initial fetch times are longer than acceptable. Here’s a snippet of how I set up my fetch request: ```swift let fetchRequest: NSFetchRequest<Item> = Item.fetchRequest() fetchRequest.fetchBatchSize = 20 fetchRequest.predicate = NSPredicate(format: "category == %@", category) ``` In addition, I’ve implemented a background context for fetching data: ```swift let backgroundContext = persistentContainer.newBackgroundContext() backgroundContext.perform { [weak self] in do { let items = try backgroundContext.fetch(fetchRequest) DispatchQueue.main.async { self?.items = items self?.tableView.reloadData() } } catch { print("Error fetching items: \(error)") } } ``` Despite these efforts, the app still lags upon loading lists. I’ve also tried to optimize my Core Data model by reducing the number of attributes and relationships in the `Item` entity, but that didn’t yield significant improvements. Any insights on how to further optimize Core Data fetch requests or best practices for handling larger datasets would be invaluable. Are there any advanced strategies I might be missing? Could leveraging SQLite-specific optimizations help, or should I consider using a different storage solution? Thanks in advance for your help! What am I doing wrong? This is for a web app running on Linux. Could this be a known issue? Thanks for any help you can provide!