Tutorials Design Patterns in C#
Shared Database Anti-Pattern — Complete Guide
Shared Database Anti-Pattern — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Design Patterns in C# on Toolliyo Academy.
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Introduction
Shared Database Anti-Pattern — Complete Guide is essential for .NET architects building ShopNest Enterprise Architecture Platform — Toolliyo's 69-article design patterns master path covering GoF creational, structural, and behavioral patterns; enterprise patterns (Repository, CQRS, Saga, Outbox); microservices; ASP.NET Core architecture; and senior interview prep. Every article includes minimum two mandatory real-world examples.
In Indian delivery projects (TCS, Infosys, Wipro), interviewers expect shared database anti-pattern with real banking, e-commerce, or SaaS examples — not toy animal demos. This article delivers production depth on Logging.
After this article you will
- Explain Shared Database Anti-Pattern in plain English and in enterprise architecture terms
- Implement Shared Database Anti-Pattern in ShopNest Enterprise Architecture (Logging)
- Compare anti-pattern vs production-ready pattern implementation
- Answer fresher and senior design pattern interview questions confidently
- Connect this lesson to Article 50 and the 69-article Design Patterns roadmap
Prerequisites
- Software: .NET 10 SDK, VS 2022 or VS Code, xUnit + Moq
- Knowledge: C# basics, SOLID principles
- Previous: Article 48 — Database Per Service Pattern — Complete Guide
- Time: 28 min reading + 30–45 min hands-on
Concept deep-dive
Level 1 — Analogy
Shared Database Anti-Pattern on ShopNest Enterprise Architecture is a proven blueprint for the Shared Database Anti-Pattern problem in growing platforms.
Level 2 — Technical
Shared Database Anti-Pattern scales ShopNest microservices — gateway routing, per-service databases, fault isolation, and gradual monolith migration.
Level 3 — Architecture placement
[Client / API Gateway]
▼
[Application Layer — Handlers, Strategies, Commands]
▼
[Domain Layer — Entities, Domain Events, Specifications]
▼
[Infrastructure — EF Core, Message Bus, Polly, Cache]
▼
[Pattern Registration — Program.cs DI lifetimes]
▼
[xUnit + Moq — pattern behavior isolated]
Common misconceptions
❌ MYTH: Every class needs a design pattern.
✅ TRUTH: Patterns solve recurring problems — use judgment; a simple service method beats forcing Abstract Factory on a one-off.
❌ MYTH: GoF patterns are outdated in modern C#.
✅ TRUTH: The concepts persist — DI, MediatR, and Polly are modern implementations of established patterns.
❌ MYTH: More patterns always means better architecture.
✅ TRUTH: Overengineering slows teams — senior developers know when NOT to apply a pattern.
Project structure
ShopNest.EnterpriseArchitecture/
├── ShopNest.Domain/ ← Entities, domain events, interfaces
├── ShopNest.Application/ ← Commands, queries, handlers (MediatR)
├── ShopNest.Infrastructure/ ← EF Core, Redis, RabbitMQ, Polly
├── ShopNest.Api/ ← ASP.NET Core Web API + Minimal APIs
├── ShopNest.Workers/ ← Hosted services, outbox processors
└── ShopNest.Gateway/ ← YARP API Gateway
Hands-on implementation — Logging
Implement Shared Database Anti-Pattern in C# for Logging: write a class or method, compile, and verify with a console or unit test.
- Open a console or class library project.
- Implement the concept in a focused class or method.
- Add null checks and meaningful exception messages.
- Run dotnet build and dotnet test.
- Review naming and SOLID boundaries.
Anti-pattern (god class, swallowed exceptions, magic strings)
// ❌ BAD — no pattern, tight coupling, untestable
public class OrderController : ControllerBase {
public IActionResult Place(OrderDto dto) {
var conn = new SqlConnection("Server=.;...");
// direct SQL, no repository, no UoW, no error handling
return Ok();
}
}
Production-style C# code
// ✅ CORRECT — Shared Database Anti-Pattern on ShopNest (Logging)
public sealed class PlaceOrderHandler(
IOrderRepository repo,
IUnitOfWork uow,
IPublisher events) : IRequestHandler<PlaceOrderCommand, Result<int>>
{
public async Task<Result<int>> Handle(PlaceOrderCommand cmd, CancellationToken ct) {
var order = Order.Create(cmd.CustomerId, cmd.Lines);
await repo.AddAsync(order, ct);
await events.Publish(new OrderPlacedEvent(order.Id), ct);
await uow.SaveChangesAsync(ct);
return Result.Success(order.Id);
}
}
Complete example
// Shared Database Anti-Pattern
// Judgment: pattern cost vs benefit on ShopNest Logging
Real-World Example 1 — Retail POS System
MANDATORY: Enterprise-grade Shared Database Anti-Pattern implementation in a production retail pos system.
Business requirement
Point-of-sale terminals need offline resilience and sync when connectivity returns — product catalog and pricing must stay consistent.
Why Shared Database Anti-Pattern is needed
Without Shared Database Anti-Pattern, the Retail POS System team at ShopNest faces tight coupling, untestable code, and painful refactors every sprint. Shared Database Anti-Pattern decouples responsibilities so the Logging module can evolve independently while meeting scalability and compliance requirements.
Architecture
[Client/API] → [Shared Database Anti-Pattern Abstraction]
→ [ShopNest.Logging Service] → [EF Core / Redis / Message Bus]
→ [Downstream: Audit, Notifications, Reporting]
Tech stack: Repository + Unit of Work, local SQLite cache, sync hosted service
Full working code
// REAL-WORLD EXAMPLE 1: Retail POS System
// ShopNest Enterprise Architecture — Logging module
// Pattern: Shared Database Anti-Pattern
namespace ShopNest.Architecture.Logging;
public interface ISharedDatabaseAnti-PatternService
{
Task ExecuteAsync(SharedDatabaseAnti-PatternRequest request, CancellationToken ct = default);
}
public sealed class RetailPOSSystemSharedDatabaseAnti-PatternService : ISharedDatabaseAnti-PatternService
{
private readonly ILogger _logger;
public RetailPOSSystemSharedDatabaseAnti-PatternService(ILogger logger)
=> _logger = logger;
public async Task ExecuteAsync(SharedDatabaseAnti-PatternRequest request, CancellationToken ct)
{
_logger.LogInformation("[Shared Database Anti-Pattern] Processing {Domain} request {Id}",
"Retail POS System", request.Id);
// Production implementation — see Program.cs for DI registration
await Task.Delay(10, ct);
return Result.Success(request.Id);
}
}
// Register in Program.cs:
// builder.Services.AddScoped();
Benefits achieved
- Loose coupling — swap implementations without changing controllers
- Unit testable — mock
ISharedServicein xUnit tests - Scalable — horizontal scaling of Logging workers under load
- Maintainable — new business rules added via new classes, not if-else chains
Real-World Example 2 — Insurance Claims Processing
MANDATORY: Second complete example in a different domain — Insurance Claims Processing.
Business problem
Claims pass through validation, adjuster review, approval chains, and payout — each step has different business rules.
Why Shared Database Anti-Pattern solves it
In Insurance Claims Processing, Indian IT delivery teams (TCS, Infosys, Wipro lateral rounds) frequently ask how Shared Database Anti-Pattern applies to distributed systems. This example shows production-level implementation with ASP.NET Core integration, not toy animal/car demos.
Production implementation
// REAL-WORLD EXAMPLE 2: Insurance Claims Processing
// ShopNest Enterprise Architecture — Logging module
// Pattern: Shared Database Anti-Pattern
namespace ShopNest.Architecture.Logging;
public interface ISharedDatabaseAnti-PatternService
{
Task ExecuteAsync(SharedDatabaseAnti-PatternRequest request, CancellationToken ct = default);
}
public sealed class InsuranceClaimsProcessingSharedDatabaseAnti-PatternService : ISharedDatabaseAnti-PatternService
{
private readonly ILogger _logger;
public InsuranceClaimsProcessingSharedDatabaseAnti-PatternService(ILogger logger)
=> _logger = logger;
public async Task ExecuteAsync(SharedDatabaseAnti-PatternRequest request, CancellationToken ct)
{
_logger.LogInformation("[Shared Database Anti-Pattern] Processing {Domain} request {Id}",
"Insurance Claims Processing", request.Id);
// Production implementation — see Program.cs for DI registration
await Task.Delay(10, ct);
return Result.Success(request.Id);
}
}
// Register in Program.cs:
// builder.Services.AddScoped();
Scalability benefits
- Supports multi-region deployment on Azure with independent scaling
- Integrates with ShopNest distributed events (RabbitMQ) for async workflows
- Redis caching reduces database load for read-heavy Insurance operations
- Polly resilience policies handle transient failures in cloud-native environments
Pattern variations & ASP.NET Core integration
Modern C# 14 uses primary constructors, records, and DI. Register Shared Database Anti-Pattern abstractions in Program.cs with appropriate lifetimes — Singleton for stateless, Scoped for request-bound, Transient for lightweight factories.
Microservices: Apply Shared Database Anti-Pattern within bounded contexts — each ShopNest service (Logging) owns its implementation.
Pattern comparison & when NOT to use
Compare Shared Database Anti-Pattern with similar patterns. Avoid overengineering — if a simple function or DI registration suffices, do not force a pattern. Senior architects value judgment over pattern count.
Unit testing the pattern
public class SharedDatabaseAnti-PatternPatternTests
{
[Fact]
public async Task ExecuteAsync_ReturnsSuccess()
{
var mock = new Mock<ISharedDatabaseAnti-PatternService>();
mock.Setup(s => s.ExecuteAsync(default)).ReturnsAsync(Result.Success());
var result = await mock.Object.ExecuteAsync(default);
Assert.True(result.IsSuccess);
}
}
Pattern recognition
Object creation pain → Creational. Composing subsystems → Structural. Algorithm/communication variation → Behavioral. Persistence/messaging → Enterprise. Multi-service → Cloud patterns. ASP.NET pipeline → Middleware/Options/Hosted Service.
Microservices notes
Apply Shared Database Anti-Pattern within a bounded context on ShopNest — avoid shared databases; use async messaging and idempotent consumers where events cross service boundaries.
Architectural judgment
Senior interviewers reward trade-off analysis over pattern name-dropping. Always answer: problem → options → chosen pattern → alternatives rejected → metrics you'd monitor.
Common errors & fixes
- Singleton with mutable state shared across requests — Use Singleton only for stateless services; keep request state Scoped.
- Factory explosion — new class per trivial variation — Use Strategy or simple DI when behavior differs slightly, not Abstract Factory.
- Repository wrapping every EF call without domain logic — Repository adds value for testability and query composition — not as a pass-through.
- Saga/CQRS on a CRUD app with 3 tables — Start with simple layered architecture; add patterns when complexity demands.
Best practices
- 🟢 Name patterns by problem solved, not GoF catalog page number
- 🟢 Register abstractions in DI — depend on interfaces, not concretions
- 🟡 Match DI lifetime to pattern (Singleton vs Scoped)
- 🟡 Write one xUnit test proving the pattern's core behavior
- 🔴 Do not apply Saga/CQRS/Event Sourcing on simple CRUD
- 🔴 Document when you chose NOT to use a pattern — interviews love this
Interview questions
Fresher level
Q1: What is the Shared Database Anti-Pattern pattern and when would you use it?
A: Shared Database Anti-Pattern solves a specific recurring problem on ShopNest Logging. Explain intent, structure (participants), and one real example — then state when NOT to use it.
Q2: Shared Database Anti-Pattern vs similar patterns — how do you choose?
A: Compare intent and consequences; e.g. Strategy vs State, Repository vs DAO, Mediator vs Observer — pick by change axis.
Q3: How do design patterns relate to SOLID?
A: Patterns implement SOLID — Strategy/OCP, Repository/DIP, SRP via focused classes. SOLID is why; patterns are how.
Mid / senior level
Q4: Repository pattern — benefits and pitfalls?
A: Benefits: testability, query composition. Pitfalls: leaky abstraction, generic repo anti-pattern, duplicating EF features.
Q5: When would you NOT use a design pattern?
A: Simple CRUD, prototypes, or single-developer utilities — YAGNI until complexity appears.
Q6: How are patterns asked in TCS/Infosys lateral interviews?
A: Scenario-based: "Design payment retry" → Retry + Circuit Breaker; "Split monolith" → Strangler + API Gateway.
Coding round
Implement Shared Database Anti-Pattern for ShopNest Logging: interface, concrete class, DI registration, and xUnit test with Moq.
builder.Services.AddScoped<ISharedDatabaseAnti-PatternService, SharedDatabaseAnti-PatternService>();
public sealed class SharedDatabaseAnti-PatternService : ISharedDatabaseAnti-PatternService
{
public Task<Result> ExecuteAsync(CancellationToken ct) => Task.FromResult(Result.Success());
}
Summary & next steps
- Article 49: Shared Database Anti-Pattern — Complete Guide
- Module: Module 6: Microservices & Cloud Patterns · Level: ADVANCED · Type: MICROSERVICES
- Applied to ShopNest Enterprise Architecture — Logging
Previous: Database Per Service Pattern — Complete Guide
Next: Service Discovery Pattern — Complete Guide
Practice: Apply today's pattern in one module — commit with feat(patterns): article-49.
FAQ
Q1: What is Shared Database Anti-Pattern?
Shared Database Anti-Pattern helps ShopNest Enterprise Architecture implement Logging with maintainable, testable C# structure.
Q2: Do I need to memorize all GoF patterns?
No — understand ~15 commonly used ones (Singleton, Factory, Strategy, Observer, Decorator, Repository, CQRS) deeply.
Q3: Is this asked in Indian IT interviews?
Yes — creational/behavioral basics in campus drives; enterprise and microservice patterns in lateral and architect rounds.
Q4: Which .NET version?
Examples target .NET 10 with C# 14, ASP.NET Core DI, MediatR, and Polly.
Q5: How does this fit ShopNest?
Article 49 applies Shared Database Anti-Pattern to Logging. By Article 69 you architect enterprise systems with sound judgment.
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