Clean Architecture & Design Patterns in Practice · 课时

整洁架构中的 CQRS

学习命令查询职责分离如何拆分写入模型和读取模型,以及它为何能自然地融入整洁架构的边界之内。

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整洁架构中的 CQRS 是 CoddyKit 上的免费 Clean Architecture & Design Patterns in Practice 课时。 这是第 4 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Clean Architecture & Design Patterns in Practice 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Clean Architecture & Design Patterns in Practice 课程共包含 4 节课。

本课时的部分内容尚未翻译,以英文显示。

One Model Doing Too Much

As systems grow, a single model that handles both writes and reads often strains.

Writes need rich validation and invariants; reads need fast, shaped data for screens. CQRS splits these concerns.

Commands vs Queries

CQRS divides operations into two kinds:

  • Commands change state and return nothing meaningful.
  • Queries return data and never change state.

This is the Command-Query Separation principle, scaled to architecture.

Separate Write and Read Models

The write side uses rich entities enforcing invariants. The read side uses simple, denormalized DTOs tailored to each view.

They can even use different storage, optimized for their job.

A Command

A command captures intent and is handled by a write-side interactor.

class PlaceOrderCommand {
    final String customerId;
    final java.util.List<String> items;
    PlaceOrderCommand(String c, java.util.List<String> i) {
        this.customerId = c; this.items = i;
    }
}

A Command Handler

The handler loads entities, enforces rules, and persists — pure use-case logic.

class PlaceOrderHandler {
    private final OrderRepository repo;
    PlaceOrderHandler(OrderRepository repo) { this.repo = repo; }
    void handle(PlaceOrderCommand cmd) {
        Order order = Order.create(cmd.customerId, cmd.items);
        repo.save(order);
    }
}

A Query

The read side bypasses rich entities and returns a shape built for display.

class OrderSummaryDto {
    public String orderId;
    public String status;
    public double total;
}
interface OrderQueries {
    OrderSummaryDto getSummary(String orderId);
}

How It Maps to Clean Architecture

Both sides honor the dependency rule:

  • Command handlers are interactors using repository output ports.
  • Query interfaces are also ports, implemented in the outer layer.

CQRS adds no new violation; it just doubles the use-case shape.

Optional: Eventual Consistency

In advanced setups the read model is built asynchronously from events emitted by the write side.

This brings eventual consistency: reads may briefly lag writes. Adopt it only when scale truly demands it.

When CQRS Pays Off

  • Read and write workloads differ dramatically.
  • Complex domains where write invariants clutter read queries.
  • High-read systems needing tailored projections.

For simple CRUD, plain repositories are enough.

The Cost Side

CQRS adds moving parts: two models, possibly two stores, and synchronization.

That complexity is justified only when the separation buys real clarity or performance. Do not adopt it by default.

A Pragmatic Middle Ground

You can apply logical CQRS without separate databases: just split command handlers from query services in code.

This captures most of the clarity benefit with little extra infrastructure.

Quick Check

Test your understanding of CQRS.

Recap

You learned CQRS within Clean Architecture.

  • Commands change state; queries read it.
  • Separate write (rich entities) and read (DTOs) models.
  • Both remain ports honoring the dependency rule; adopt it only when complexity warrants.
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此课程中的所有课时

  1. 处理横切关注点
  2. 事件驱动的整洁架构
  3. 微服务中的整洁架构
  4. 整洁架构中的 CQRS
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