CQRS Design Pattern and Spring Boot Microservices Implementation Guide
The image showcases an architectural pattern for Command Query Responsibility Segregation (CQRS). It demonstrates the segregation of the write operations (commands) and read operations (queries) into separate services and components for enhanced scalability, maintainability, and performance in microservices.
Here are the key components illustrated in the diagram:
Microservices:
- Order Microservice: Handles commands and queries related to orders.
- Customer Microservice: Manages commands and queries related to customers.
Command and Query Segregation:
- Each microservice has:
- A Command Endpoint for write operations (e.g., creating, updating data).
- A Query Endpoint for read operations.
- Separate Command Service and Query Service with their respective models (Command Model and Query Model).
- Each microservice has:
Event-Driven Architecture:
- Event Publishers and Event Consumers facilitate communication between services using an Event Store.
- Events are relayed through a Messaging System for asynchronous processing and eventual consistency.
Read Storage:
- Dedicated databases or storage for query models ensure optimized performance for read operations.
Below is an example of implementing CQRS (Command Query Responsibility Segregation) in a Spring Boot microservices architecture, focusing on Order Management.
Architecture Overview
- Order Command Service:
- Handles create, update, and delete operations for orders.
- Publishes events to a message broker (e.g., Kafka or RabbitMQ).
- Order Query Service:
- Handles read operations for orders.
- Maintains a denormalized read database for optimized query performance.
Technologies
- Spring Boot: Framework for building microservices.
- Spring Data JPA: For persistence in the command side.
- MongoDB: For denormalized read data.
- Kafka: For event-driven communication.
- PostgreSQL: For write data.
Implementation Steps
1. Order Command Service
Dependencies in pom.xml
:
Entity Example:
Repository:
Service:
Controller:
2. Order Query Service
Dependencies in pom.xml
:
MongoDB Model:
Repository:
Event Consumer:
Query Service:
Controller:
Summary of Key Features
Command Side:
- Orders are persisted to a PostgreSQL database.
- Events are published via Kafka.
Query Side:
- Orders are denormalized and stored in MongoDB for optimized read performance.
- Kafka listeners update the read database in real-time.
Messaging System:
- Kafka ensures asynchronous communication and eventual consistency.
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