implementing Core Data Fetch Request Caching on macOS 13.6
I'm reviewing some code and I'm trying to configure I've been researching this but I'm experiencing unexpected behavior with Core Data's fetch requests on macOS 13.6, specifically regarding caching..... I have a large dataset and I'm trying to optimize performance by using a `NSFetchRequest` with caching enabled. However, it seems that my fetched results are not being cached as expected. Here's a snippet of my code: ```swift let fetchRequest = NSFetchRequest<MyEntity>(entityName: "MyEntity") fetchRequest.fetchBatchSize = 20 fetchRequest.returnsObjectsAsFaults = false fetchRequest.affectedStores = [persistentStore] // Custom persistent store let cachedResults = NSFetchedResultsController(fetchRequest: fetchRequest, managedObjectContext: context, sectionNameKeyPath: nil, cacheName: "MyEntityCache") do { try cachedResults.performFetch() } catch { print("Failed to fetch cached results: \(behavior)") } ``` I expect the results to be cached and reused during subsequent fetches, but I'm still seeing multiple fetch requests hitting the persistent store for the same data, which is affecting performance. I verified that the `NSFetchedResultsController` is set up correctly, and I also tried running the app on a clean simulator environment to rule out any persistent store issues. Additionally, I'm seeing a warning in the console: `CoreData: warning: Unable to perform request. Entity is not in the cache.` This leads me to believe there's an scenario with how the cache is being configured or utilized. I've tried resetting the cache and even switching to an in-memory store for testing, but the question continues. Can anyone provide insight into how to ensure that Core Data properly caches fetch results, or is there a known scenario with `NSFetchedResultsController` caching in macOS 13.6? I'm working on a CLI tool that needs to handle this. What am I doing wrong? Has anyone else encountered this? I'm working in a Ubuntu 20.04 environment. Could this be a known issue? For reference, this is a production desktop app. I'm open to any suggestions.