optimizing-ef-core-queries

Fix N+1 query problems in EF Core by applying eager loading, splitting queries, or using projection to fetch only necessary data, thereby eliminating excessive database round trips and reducing generated SQL.

Use no-tracking in Entity Framework Core for read-only queries to optimize tracking behavior, reduce memory and CPU pressure, and improve overall query performance when identity resolution is not required.

Optimize EF Core queries for high database load by profiling slow queries, adopting no-tracking options, using compiled queries for hot paths, and applying safe query practices to reduce memory and CPU pressure.

The best way to use compiled queries in EF Core hot paths is to pre-compile your LINQ queries, allowing EF Core to bypass query translation overhead and execute raw SQL directly for frequently accessed data retrieval logic.

Limitations of optimizing EF Core queries with projection include losing entity tracking capabilities and potentially complicating data access layers when mapping partial results back to domain models, requiring careful profiling to ensure memory and CPU reduction.

Yes, you can use raw SQL to improve EF Core performance by bypassing the ORM query translation for hot paths, directly executing SQL commands to reduce CPU pressure and memory usage when generated SQL is excessive.