C# 10 Performance Degradation with Async Streams in Large Data Processing - Unexpected Delays
I'm stuck on something that should probably be simple. I've been working on a data processing application using C# 10 and .NET 6 where I'm utilizing async streams to handle a large amount of data fetched from a database. However, I'm encountering significant performance degradation when processing large datasets, as the output appears to be delayed, and the overall responsiveness of the application drops. Here's a simplified version of my code structure: ```csharp public async IAsyncEnumerable<string> GetDataAsync() { using var connection = new SqlConnection(connectionString); await connection.OpenAsync(); using var command = new SqlCommand("SELECT Name FROM Users", connection); using var reader = await command.ExecuteReaderAsync(); while (await reader.ReadAsync()) { yield return reader.GetString(0); } } public async Task ProcessDataAsync() { await foreach (var name in GetDataAsync()) { // Simulate data processing await Task.Delay(100); Console.WriteLine(name); } } ``` I've ensured that all database operations are asynchronous, but I'm still seeing that when the dataset is large (over 10,000 records), the processing seems to take significantly longer than expected. The console output is not as responsive, and the UI freezes for a noticeable amount of time. I’ve tried adjusting the delay in the processing method and even increasing the buffer size, but nothing seems to help. Additionally, I’ve turned on the `System.Diagnostics` tracing to check if there are any bottlenecks, but the logs are inconclusive. Is there a better pattern or best practice for processing large async streams in C# 10? What could be causing this lag, and are there ways to improve the performance? I've been using C# for about a year now.