CQRS (Command Query Responsibility Segregation)
category: Architecture
tags: cqrs, java, axon, eventsourcing, kubernetes
Main Topic 1
CQRS separates the responsibility for reading and writing data into different models, enhancing scalability and performance for complex systems.
Subtopic A: What It Is
- Command model handles updates (create/update/delete)
- Query model handles reads
- Often combined with Event Sourcing
Subtopic B: Why Use It
- Optimized read/write performance
- Better separation of concerns
- Enables eventual consistency and complex audit trails
Subtopic C: When To Use It
- High-traffic applications with different read/write loads
- Event-driven systems
- Systems requiring auditability or history tracking
Main Topic 2
Code Example (Java + Axon)
@Aggregate
public class Account {
@CommandHandler
public Account(CreateAccountCommand cmd) {
AggregateLifecycle.apply(new AccountCreatedEvent(cmd.getId()));
}
@EventSourcingHandler
public void on(AccountCreatedEvent evt) {
// handle event
}
}
Infra Example (Kubernetes)
apiVersion: apps/v1
kind: Deployment
metadata:
name: cqrs-app
spec:
replicas: 1
selector:
matchLabels:
app: cqrs-app
template:
metadata:
labels:
app: cqrs-app
spec:
containers:
- name: cqrs-container
image: myregistry/cqrs-app:latest
Key Concepts Summary
- Separate read/write models
- Often used with Event Sourcing
- Enables eventual consistency
Best Practices / Tips
- Keep command and query models independent
- Use messaging/event systems for syncing models
- Monitor latency for eventual consistency
Common Issues / Troubleshooting
Problem 1: Increased complexity
- Cause: Two data models and sync logic
- Solution: Only use CQRS where justified
Problem 2: Stale reads
- Cause: Eventual consistency delay
- Solution: Use polling or notifications to update UI
References / Further Reading
- https://martinfowler.com/bliki/CQRS.html
- https://docs.axoniq.io/
Last updated: 2025-08-26 20:00 UTC