LINQ Interview Question #124
How can you identify inefficient LINQ queries in production code?
LINQ Performance, EF Core LINQ, Expressions & Advanced Queries Senior Advanced
Quick Interview Answer
Measure rather than guessing. Inspect generated SQL, database command duration, execution plans, row counts, application traces, and memory behavior. Look for excessive materialization, N+1 queries, repeated execution, unbounded result sets, unnecessary Include calls, and client-side processing.
Detailed Explanation
Measure rather than guessing. Inspect generated SQL, database command duration, execution plans, row counts, application traces, and memory behavior. Look for excessive materialization, N+1 queries, repeated execution, unbounded result sets, unnecessary Include calls, and client-side processing.
A LINQ expression should be evaluated by the work it causes, not only by how short or elegant the C# looks.
Code Example
var query = db.Products
.Where(p => p.IsActive)
.Select(p => new { p.Id, p.Name });
Console.WriteLine(query.ToQueryString());
// Then use profiling/logging for real execution metrics.