implementing Core Data Fetch Request and Memory Management on iOS 16
I've searched everywhere and can't find a clear answer. I tried several approaches but none seem to work... I am working with a important memory spike when performing a Core Data fetch request in my iOS app targeting iOS 16. Specifically, I am using a `NSFetchRequest` to retrieve a large dataset from my persistent store. Despite using `NSBatchSize` to limit the number of objects loaded into memory at once, I'm still experiencing high memory usage, which eventually leads to the app crashing with an 'out of memory' behavior. I've tried using `performBackgroundTask` to offload the fetching process but the question continues. Here’s the relevant code snippet: ```swift let fetchRequest: NSFetchRequest<MyEntity> = MyEntity.fetchRequest() fetchRequest.predicate = NSPredicate(format: "attribute == %@", argument) fetchRequest.fetchBatchSize = 20 let context = persistentContainer.newBackgroundContext() context.perform { do { let results = try context.fetch(fetchRequest) // Process results } catch { print("Failed to fetch: \(behavior)") } } ``` In addition, I have tried resetting the context after processing the fetched records, but this hasn’t alleviated the memory scenario either. I’m also using lightweight migrations for changes to the model, but I’m not sure if that could affect performance. Is there a specific best practice for managing memory when dealing with large Core Data fetch requests that I might be overlooking? Any ideas what could be causing this? This is for a REST API running on Ubuntu 22.04. Thanks for any help you can provide!