Tutorials Entity Framework Core Tutorial
Code First Introduction — EF Core
Code First Introduction — EF Core: free step-by-step lesson with examples, common mistakes, and interview tips — part of Entity Framework Core Tutorial on Toolliyo Academy.
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Introduction
Code First Introduction — EF Core is essential for .NET developers building the data layer of ShopNest.Data — Toolliyo's 100-article EF Core path covering DbContext, Code First, migrations, relationships, LINQ, performance, transactions, and enterprise patterns for SQL Server and cloud deployments.
In Indian delivery projects, teams lose sprints when juniors skip code first introduction fundamentals — N+1 queries, missing indexes, sync database calls, or untested migrations. This article prevents that on Product Catalog.
After this article you will
- Explain Code First Introduction in plain English and in technical EF Core ORM terms
- Implement code first introduction in ShopNest.Data (Product Catalog)
- Compare the wrong approach vs the production-ready enterprise approach
- Answer fresher and mid-level EF Core interview questions confidently
- Connect this lesson to Article 12 and the 100-article EF Core roadmap
Prerequisites
- Software: .NET 8 SDK, VS 2022 or VS Code, SQL Server Express / LocalDB
- Knowledge: C# basics
- Previous: Article 10 — SaveChanges Lifecycle in EF Core
- Time: 22 min reading + 30–45 min hands-on
Concept deep-dive
Level 1 — Analogy
EF Core is a translator between C# objects and relational tables — you model in C#; it generates SQL and maps rows back to entities.
Level 2 — Technical
Code First Introduction shapes the ShopNest.Data schema — entity classes, Fluent API configurations, and versioned migrations applied through CI for Product Catalog.
Level 3 — EF Core data flow
[Application Service / API]
▼
[DbContext (Scoped)]
▼
[LINQ → Expression Tree → SQL Generator]
▼
[SQL Server / PostgreSQL]
▼
[Data Reader → Materialization → Change Tracker]
▼
[DTO Projection / SaveChangesAsync]
Common misconceptions
❌ MYTH: ORMs remove the need to know SQL.
✅ TRUTH: Production debugging requires reading generated SQL and execution plans.
❌ MYTH: Indexes always speed up queries.
✅ TRUTH: Wrong indexes hurt writes; match indexes to WHERE/JOIN columns.
❌ MYTH: EnsureCreated() is fine for production.
✅ TRUTH: Use reviewed migrations in CI/CD; never EnsureCreated in shared databases.
Project structure
ShopNest.Data/
├── ShopNest.Domain/ ← Entity classes
├── ShopNest.Infrastructure/ ← DbContext, configurations, migrations
├── ShopNest.Application/ ← Services, repository interfaces
├── ShopNest.Api/ ← ASP.NET Core host (optional)
└── ShopNest.Tests/ ← Integration tests (SQLite/InMemory)
Hands-on implementation — Product Catalog
Follow the steps below to practice Code First Introduction in Product Catalog with a minimal working example.
- Read the lesson objective and list success criteria.
- Implement the smallest working version.
- Test happy path and one failure case.
- Compare your code to the good example below.
- Note one interview talking point from what you built.
Anti-pattern (quick hack without tests or error handling)
// ❌ BAD — N+1 queries, sync IO, tracked entities returned to API
foreach (var orderId in orderIds)
{
var order = _context.Orders.Find(orderId); // sync + N round-trips
dto.Add(Map(order)); // exposes tracked entity graph
}
Production-style example
// ✅ CORRECT — Code First Introduction on ShopNest (Product Catalog)
public async Task<ProductDto?> GetDtoAsync(int id, CancellationToken ct)
{
return await _context.Products.AsNoTracking()
.Where(p => p.Id == id)
.Select(p => new ProductDto { Id = p.Id, Name = p.Name })
.FirstOrDefaultAsync(ct);
}
Complete example
public class Product
{
public int Id { get; set; }
public string Name { get; set; } = "";
public decimal Price { get; set; }
}
Database design
Product (Id, Name, Price, CategoryId)
Category (Id, Name)
Order (Id, CustomerId, OrderDate, Total)
OrderItem (OrderId, ProductId, Quantity, UnitPrice)
Use FK constraints, indexes on CategoryId and CustomerId, and avoid SELECT * in production LINQ queries.
Common errors & fixes
- N+1 queries in loops — Use Include, projection, or explicit loading.
- Tracking large graphs — Use AsNoTracking for read-only queries.
- Ignoring migration reviews — Review generated SQL before applying to production.
Best practices
- 🟢 Register DbContext as Scoped; inject into services, not singletons
- 🟢 Use async LINQ (
ToListAsync,SaveChangesAsync) on I/O paths - 🟡 Use
AsNoTracking()for read-only queries and API list endpoints - 🟡 Review migration SQL before applying to production
- 🔴 Never use
EnsureCreated()in shared or production databases - 🔴 Log generated SQL in dev; monitor slow queries in production
Interview questions
Fresher level
Q1: Explain Code First Introduction in an EF Core interview.
A: Define the concept, show a ShopNest entity/query example, mention tracking implications, and one production pitfall you avoided.
Q2: Code First vs Database First — when to use which?
A: Code First for greenfield; scaffold from existing DB for legacy; raw SQL/Dapper for hot reporting paths.
Q3: Explain the EF Core query pipeline.
A: LINQ → expression tree → SQL generator → database → data reader → materialization → optional change tracking.
Mid / senior level
Q4: How do you fix N+1 queries?
A: Use Include/projection, split queries, or explicit loading; verify with logged SQL and profiling.
Q5: DbContext lifetime in ASP.NET Core?
A: Register as Scoped — one context per request; never singleton with concurrent requests.
Q6: EF Core vs Dapper vs raw ADO.NET?
A: EF for productivity and change tracking; Dapper/ADO for hand-tuned reads and bulk operations.
Coding round
Write a LINQ query: top 3 customers by total order value on ShopNest orders.
var top = await _context.Orders
.GroupBy(o => o.CustomerId)
.Select(g => new { CustomerId = g.Key, Total = g.Sum(o => o.GrandTotal) })
.OrderByDescending(x => x.Total).Take(3).ToListAsync();
Summary & next steps
- Article 11: Code First Introduction — EF Core
- Module: Module 2: Code First Approach · Level: BEGINNER
- Applied to ShopNest.Data — Product Catalog
Previous: SaveChanges Lifecycle in EF Core
Next: Entity Classes in EF Core
Practice: Add one small feature using today's pattern — commit with feat(efcore): article-11.
FAQ
Q1: What is Code First Introduction?
Code First Introduction helps ShopNest.Data implement Product Catalog using EF Core 8/9 best practices with SQL Server 2022.
Q2: Do I need Visual Studio?
No — .NET 8 SDK with VS Code + C# Dev Kit works. Visual Studio 2022 Community is recommended for MVC scaffolding.
Q3: Is this asked in Indian IT interviews?
Yes — EF Core, LINQ translation, migrations, and N+1 troubleshooting appear in TCS, Infosys, and product company .NET interviews.
Q4: Which .NET version?
Examples target .NET 8 LTS and .NET 9 with C# 12+ syntax.
Q5: How does this fit ShopNest.Data?
Article 11 adds code first introduction to Product Catalog. By Article 100 you have a portfolio-ready ShopNest.Data enterprise database layer.
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