optimizing-ef-core-queries

To fix EF Core N+1 query problems, you need to detect missing includes and apply proper projection strategies. This ensures related data is loaded in a single database round-trip rather than executing separate queries for each entity.

Tracking modes in EF Core monitor entity state changes for saving, while no-tracking modes skip this overhead for read-heavy workloads. Choosing no-tracking for read-only queries significantly reduces database load and improves query performance.

You should use compiled queries in EF Core for hot paths where queries execute repeatedly. They optimize performance by caching the query translation, avoiding the overhead of parsing and compiling the same query structure on every execution.

To optimize EF Core queries causing high database load, you must run a profiling pass to identify excessive SQL generation. Applying correct tracking settings, split queries, and compiled queries mitigates these performance traps.

Common EF Core performance traps with includes include generating massive Cartesian explosions. Using split queries loads related collections in separate SQL queries, reducing memory overhead and avoiding excessive SQL generation for complex graphs.