database-performance

To avoid N+1 queries, use SQL joins or explicit projections to fetch related data in a single trip. This query optimization prevents unnecessary database roundtrips and reduces latency.

Implementing CQRS principles is the best way to separate read and write models for database scalability. This creates distinct models tailored for specific operations, improving overall performance and scalability.

Optimize EF Core to prevent Cartesian explosions by using explicit projections and applying row limits. Additionally, use AsNoTracking for read-only queries to reduce overhead and improve performance.

Yes, Dapper supports query optimization techniques like row limits and avoiding N+1 queries. The Skill provides specific best practices for writing efficient and scalable data access layers using Dapper.

Slow database query times often occur from fetching unnecessary data or performing inefficient joins. Consult this Skill to identify issues like N+1 queries or Cartesian explosions and rectify access patterns.