Why should I avoid .Result or .Wait() in EF Core?

These methods block the calling thread and can lead to deadlocks, especially in environments with a synchronization context, and significantly reduce application scalability.

How does this skill help with N+1 query problems?

It provides patterns for using Include and ThenInclude to eager load related data in a single database round-trip, rather than executing multiple sequential queries in a loop.

Why should I always pass a CancellationToken to EF Core methods?

Passing a CancellationToken allows the database query to be aborted immediately if the user cancels their request or the operation times out, saving server and database resources.

When is it best to use AsNoTracking()?

Use AsNoTracking() for read-only operations where entities won't be modified. This reduces memory overhead and CPU usage by bypassing the EF Core change tracker.

EF Core Async Patterns

Name: EF Core Async Patterns
Author: andychang0121

byandychang0121

0•

Database Management

Optimizes Entity Framework Core performance by implementing asynchronous best practices and efficient query patterns.

This skill guides developers in implementing high-performance data access layers using Entity Framework Core in .NET applications. It enforces non-blocking asynchronous operations to prevent deadlocks, optimizes read performance with AsNoTracking, and provides strategies for solving N+1 query issues using eager loading. By following these patterns, developers can ensure their database interactions are scalable, thread-safe, and follow modern C# architectural standards including proper CancellationToken propagation and bulk operation execution.

Key Features

010 GitHub stars

02Efficient bulk updates and deletes using ExecuteUpdateAsync

03Eager loading patterns to prevent N+1 query performance issues

04Standardized CancellationToken propagation for request cancellation

05Read-only query optimization using AsNoTracking

06Implementation of fully asynchronous CRUD operations

Use Cases

01Optimizing data-heavy .NET applications for high-throughput database performance

02Refactoring legacy synchronous EF Core code to prevent thread pool starvation

03Building scalable ASP.NET Core Web APIs with non-blocking database access

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add andychang0121/dotnet-skills efcore-async-patterns

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Efficient bulk updates and deletes using ExecuteUpdateAsync

03Eager loading patterns to prevent N+1 query performance issues

04Standardized CancellationToken propagation for request cancellation

05Read-only query optimization using AsNoTracking

06Implementation of fully asynchronous CRUD operations

Use Cases

01Optimizing data-heavy .NET applications for high-throughput database performance

02Refactoring legacy synchronous EF Core code to prevent thread pool starvation

03Building scalable ASP.NET Core Web APIs with non-blocking database access

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add andychang0121/dotnet-skills efcore-async-patterns

For use in Claude.ai and ChatGPT