C# 10 - Performance implementing Concurrent Dictionary Under High Load Scenarios
I'm wondering if anyone has experience with I'm experiencing important performance degradation when using `ConcurrentDictionary<TKey, TValue>` in a high-load scenario with C# 10... The application processes numerous concurrent requests that involve inserting and updating items in the dictionary, but I notice that the overall throughput drops significantly as the load increases. I've set up a simple benchmark using `Parallel.ForEach` to simulate concurrent access: ```csharp var dict = new ConcurrentDictionary<int, string>(); int totalItems = 100000; Parallel.ForEach(Enumerable.Range(0, totalItems), i => { dict[i] = "Value" + i; }); ``` In less than a minute, the CPU usage spikes, and the response time for subsequent requests increases drastically. I also tried profiling the application using Visual Studio's performance tool, and it shows that the `ConcurrentDictionary` operations are consuming a large amount of time. I've considered switching to a regular `Dictionary` with a lock, but I'm worried about introducing potential deadlocks or increased contention with multiple threads. Is there a way to optimize the use of `ConcurrentDictionary` in this scenario, or should I consider another data structure altogether? I'm using .NET 6 and targeting a multi-core environment, so I expect it to handle concurrency better. Any insights or recommendations would be greatly appreciated! I'm developing on macOS with C#.