ef-core-advanced-patterns

To avoid cartesian explosion in EF Core, use the AsSplitQuery method to split queries into multiple SQL statements, preventing large cartesian product result sets when loading multiple related collections. This reduces memory overhead and improves query performance.

The best way to perform bulk updates in EF Core without loading entities is using ExecuteUpdate and ExecuteDelete patterns. These batch operations directly modify database rows, bypassing the change tracker and significantly reducing memory consumption for high-volume data modifications.

EF Core compiled queries improve data access performance by pre-compiling hot paths into reusable delegates. This eliminates the query translation overhead during runtime, yielding faster execution for frequently executed queries in high-performance .NET applications.

Yes, you can use PostgreSQL JSONB, arrays, FTS, and range types with EF Core. The Npgsql provider integrates these PostgreSQL-specific features, allowing you to leverage complex data structures and full-text search directly within your EF Core data access patterns.

To stop N+1 query problems in EF Core, implement effective loading strategies like eager loading to fetch related data upfront, or use explicit loading to control when related entities are retrieved, preventing excessive database round trips in your .NET application.

You should use no-tracking queries in EF Core for read-only operations to reduce change tracking overhead. This optimization prevents the DbContext from storing entity snapshots, improving application performance and memory efficiency when you do not need to update the retrieved data.