When will you use this?

Use EF Core LINQ when data lives in SQL Server and you want type-safe queries in C#.

• Real apps query SQL Server through EF Core — your LINQ becomes SQL at runtime.
• Lazy vs eager loading decides whether one query or ten queries hit the database.

Real-world: Naukri-style job portal

Real product: Naukri-style job portal (Recruitment). recruiters rely on candidate search with filters every day. On this product, developers use Projection Optimization with LINQ to Select only Id and Name so SQL does not fetch every column. Without it, the team would write longer loops, ship slower features, or pull too much data from SQL Server. The example below is simplified on purpose — production code adds error handling, logging, and tests around the same LINQ pattern.

Production-style code

var dtos = _context.Products.AsNoTracking()
    .Where(p => p.IsActive)
    .Select(p => new ProductDto
    {
        Id = p.Id,
        Name = p.Name,
        Price = p.Price
    });

What happens in production: In Naukri-style job portal, getting Projection Optimization with LINQ right means recruiters see correct candidate search with filters quickly. That is the difference between a tutorial snippet and software people trust with money and operations data.

Lesson example (start here)

Copy this smaller example first. Once it works, compare it with the real-world code above.

var dtos = products
    .Where(p => p.IsActive)
    .Select(p => new ProductDto
    {
        Id = p.Id,
        Name = p.Name,
        Price = p.Price
    });

Line-by-line walkthrough

How it works (big picture)

• Read the chain from top to bottom: source data, then each LINQ operator, then a terminal method like ToList or Count when you need results.
• Projection Optimization with LINQ fits into that pipeline where the lesson title suggests.

Do this on your computer

1. Add EF Core to a Web API or console with SQL Server.
2. Enable SQL logging in Development.
3. Run the query and read generated SQL.
4. Confirm filters appear in WHERE clause.
5. Read the real-world section and name which part of the app uses this topic.
6. Run the example in a console app or LINQPad and confirm the output.
7. Change one filter or sort in the example and predict the result before you run it.

Experiments — try changing this

• Change a filter value (price, date, name) and run again — see how results change.
• Remove one operator from the chain, run, and read the error or different output.
• Make the Where condition always false — confirm you get zero results.
• In EF Core, enable SQL logging and see what SQL Projection Optimization generates.

Remember

You learned what Projection Optimization with LINQ does and when to use it. Practice by changing the example on your machine. Move to the next lesson when you can explain it in your own words.

Common questions