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Trouble with Dependency Injection and Service Lifetime in ASP.NET Core 6 - Scoped vs Transient

šŸ‘€ Views: 47 šŸ’¬ Answers: 1 šŸ“… Created: 2025-09-21
asp.net-core dependency-injection entity-framework-core C#

Quick question that's been bugging me - In my current project, we're integrating various microservices in an ASP.NET Core 6 application. While setting up our dependency injection, I noticed a significant performance hit when using transient services instead of scoped ones for our data access layer. The setup has been a bit tricky because the data context must be shared within the scope of a single request to maintain transaction integrity. I initially defined my services like this: ```csharp services.AddTransient<IMyService, MyService>(); services.AddDbContext<MyDbContext>(options => options.UseSqlServer(connectionString)); ``` But transactions started failing because different instances of `MyDbContext` were being created for each service call. After realizing this, I switched to scoped: ```csharp services.AddScoped<IMyService, MyService>(); ``` This resolved the transaction issues, but I still see some performance degradation during peak loads, leading to timeouts on some API calls. To diagnose the issue, I started profiling with MiniProfiler, which revealed multiple database connections opening and closing rapidly, hinting at a potential N+1 query problem. I tried implementing eager loading for my entities, adjusting my queries like so: ```csharp var results = await _context.MyEntities.Include(x => x.RelatedEntities).ToListAsync(); ``` This change improved the situation somewhat, but I still need to ensure that I’m using the most efficient querying strategy. I'm curious if there are any best practices or architectural patterns in ASP.NET Core that could help mitigate these performance issues or if I should consider a different approach entirely, like using a caching layer or optimizing my Entity Framework setup further. Any insights would be greatly appreciated! I'm working on a web app that needs to handle this. This is part of a larger application I'm building.