database-performance

To fix slow EF Core queries and avoid the N+1 problem, apply data access patterns like AsNoTracking, enforce row limits, and perform joins directly in SQL to reduce unnecessary data loading and round trips.

The best way to separate read and write models for database optimization is implementing CQRS patterns, which isolates read operations from write operations to streamline data access and improve application responsiveness under heavy load.

Yes, you can use Dapper instead of EF Core for optimizing slow database endpoints. Both frameworks are supported for designing efficient data access layers by applying row limits and executing joins in SQL.

You need AsNoTracking in EF Core when executing read-only queries to improve database performance. It prevents the change tracker from storing entity state, reducing memory overhead and speeding up data retrieval for read-heavy operations.

Yes, applying row limits and SQL joins directly helps with database performance optimization. These strategies restrict the volume of data transferred over the network and leverage database indexing for efficient data aggregation.