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Refactoring a Client Application to Optimize Dictionary Usage in C# - Performance Considerations

👀 Views: 0 đŸ’Ŧ Answers: 1 📅 Created: 2025-09-09
c# dictionary performance refactoring optimization C#

I'm migrating some code and I'm performance testing and I've spent hours debugging this and I recently switched to I'm working on a personal project and While refactoring a client application using .NET 5, I've been focusing on improving performance, particularly with the way we're utilizing dictionaries... Our current implementation has a significant bottleneck due to how keys are being accessed and modified. In various parts of our application, we're repeatedly retrieving values from a dictionary with `TryGetValue`, which works fine. However, I suspect that the repeated access patterns could lead to performance issues as the dataset grows. I've tried caching some values in local variables before accessing the dictionary, which provided some improvement, but it feels like there's a more robust approach I might be missing. Here's a snippet of what I currently have: ```csharp var myDictionary = new Dictionary<int, string>(); // Populating the dictionary myDictionary[1] = "Value1"; myDictionary[2] = "Value2"; string result; if (myDictionary.TryGetValue(1, out result)) { // Do something with the result } ``` Additionally, implementing a batching mechanism during updates has crossed my mind since we're frequently adding and removing items. How can I manage updates more efficiently without locking the entire dictionary? My latest attempt involved wrapping the dictionary access within a `lock` statement for thread safety, but this introduced unacceptable latency. I've also explored using `ConcurrentDictionary` for better performance in multi-threaded scenarios, but I'm not entirely convinced it aligns with our current architecture. Any insights on best practices to optimize dictionary access patterns, particularly in read-heavy environments, would be invaluable. Specifically, what strategies can be employed to avoid performance pitfalls when working with large datasets in C#? I'm working on a service that needs to handle this. Thanks in advance! My development environment is Windows. Am I missing something obvious? Thanks for any help you can provide! I'm working in a Debian environment. Hoping someone can shed some light on this. This is happening in both development and production on Ubuntu 22.04. Is this even possible? This is part of a larger microservice I'm building. I appreciate any insights!