Overview
Separate read and write operations
CQRS Pattern
3 implementations available
When to Use
- When you need to abstract data access logic
- When you want to make your code testable
- When you need to support multiple data sources
- When you want to decouple business logic from infrastructure
Available Implementations
Node.js Server
Production-ready Hono server for Node.js with @hono/node-server
npx hanma add hono-basic --framework hono
Security headers via secureHeaders()Structured JSON logging for observabilityHealth, ready, and live endpoints for k8s
Bun Server
Production-ready Hono server optimized for Bun runtime
npx hanma add hono-bun --framework hono
Native Bun.serve() for maximum performanceSecurity headers and CORSStructured JSON logging
Deno Server
Production-ready Hono server for Deno runtime
npx hanma add hono-deno --framework hono
Native Deno.serve() with fetch APISecurity headers and CORSDeno runtime version reporting
Basic Example
// CQRS Pattern implementation example
// This shows the basic structure of cqrs pattern in Hono
// Define your interface
interface IRepository {
findAll(): Promise<T[]>;
findById(id: string): Promise<T | null>;
create(data: CreateDto): Promise<T>;
update(id: string, data: UpdateDto): Promise<T>;
delete(id: string): Promise<void>;
}
// Implement the pattern
class CQRSRepository implements IRepository {
async findAll(): Promise<T[]> {
// Implementation
}
async findById(id: string): Promise<T | null> {
// Implementation
}
async create(data: CreateDto): Promise<T> {
// Implementation
}
async update(id: string, data: UpdateDto): Promise<T> {
// Implementation
}
async delete(id: string): Promise<void> {
// Implementation
}
}
// Use the pattern
const repository = new CQRSRepository();
const items = await repository.findAll();
Frequently Asked Questions
What is CQRS Pattern?
Separate read and write operations. It's a well-established software design pattern that helps organize code for better maintainability and testability.
How does CQRS Pattern work with Hono?
Hono provides excellent support for this pattern through its dependency injection system and middleware composition.
What are the benefits?
Improved testability, separation of concerns, easier maintenance, and flexibility to change implementations without affecting business logic.
When should I avoid this pattern?
For very simple applications with minimal logic, the pattern may add unnecessary complexity. Use judgment based on project requirements.