dotnet-efcore-architecture

To separate read and write DbContext in EF Core, initialize distinct context types for reads and writes. This read/write model separation optimizes performance and isolates transactional data access from projection-based reads.

The best way to avoid N+1 query problems in EF Core is to apply N+1 governance strategies, specifically using eager loading for required relationships and projection patterns to fetch only necessary data.

Define aggregate boundaries in an EF Core data layer by grouping entities with owned collections and establishing clear persistence rules. This ensures consistency and enforces transactional limits per aggregate root.

Decide between direct DbContext usage and a repository pattern by evaluating the repository policy. Use a repository per aggregate root to enforce boundaries, or use direct DbContext for simpler data access.

Use DTO projections for EF Core queries to reduce data transfer and improve performance. Projection patterns ensure you fetch only the necessary fields, avoiding lazy loading and inefficient data retrieval.

Enforce row limits and pagination in an EF Core data layer by applying sensible limits to queries and implementing pagination strategies. This prevents unbounded data retrieval and maintains data access performance.