C# 11 Performance Issue with Asynchronous Stream Processing in Entity Framework 7
After trying multiple solutions online, I still can't figure this out. After trying multiple solutions online, I still can't figure this out. I'm encountering a significant performance bottleneck when processing asynchronous streams with Entity Framework 7 in my C# 11 application. The method I'm using looks like this: ```csharp public async IAsyncEnumerable<MyEntity> GetEntitiesAsync(CancellationToken cancellationToken) { await using var context = new MyDbContext(); var query = context.MyEntities.AsAsyncEnumerable(); await foreach (var entity in query.WithCancellation(cancellationToken)) { yield return entity; } } ``` When I call this method from another async method like this: ```csharp public async Task ProcessEntitiesAsync(CancellationToken cancellationToken) { await foreach (var entity in GetEntitiesAsync(cancellationToken)) { // Process each entity } } ``` I expect it to process each entity on-the-fly, but I'm noticing that the overall processing time increases drastically as the number of entities grows, even when I implement it with a cancellation token. I've tried adding logging to time how long each entity takes to process, and it reveals that the delay is not coming from the processing logic itself but rather from fetching the data from the database. I've ensured that I have proper indexes on the columns being queried, and I've tried using `ToListAsync()` instead of `AsAsyncEnumerable()` for comparison, which does seem to improve performance somewhat but defeats the purpose of processing them in a streaming fashion. Additionally, I've been cautious about the context's lifecycle, and I'm making sure that the `DbContext` is being disposed of after use. Does anyone have insights into what might be causing this performance issue with `AsAsyncEnumerable()` in EF Core 7 or any recommendations on how to optimize it further? I'm running .NET 7.0.400 and EF Core 7.0.0. Thanks in advance! This is part of a larger application I'm building. How would you solve this?