DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workkloads.

Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Related

  • Fixing Common Oracle Database Problems
  • How to Restore a Transaction Log Backup in SQL Server
  • Why I Built the Ultimate Text Comparison Tool (And Why You Should Try It)
  • Enhancing Avro With Semantic Metadata Using Logical Types

Trending

  • Docker Model Runner: Streamlining AI Deployment for Developers
  • Microsoft Azure Synapse Analytics: Scaling Hurdles and Limitations
  • Create Your Own AI-Powered Virtual Tutor: An Easy Tutorial
  • AI Meets Vector Databases: Redefining Data Retrieval in the Age of Intelligence
  1. DZone
  2. Data Engineering
  3. Databases
  4. CQRS by Example (Introduction)

CQRS by Example (Introduction)

CQRS can be a confusing pattern, but it can also be very useful. Let's take a quick look at it as well as the queries and commands that make up the pattern.

By 
Michele Ferracin user avatar
Michele Ferracin
·
Nov. 06, 18 · Tutorial
Likes (7)
Comment
Save
Tweet
Share
46.4K Views

Join the DZone community and get the full member experience.

Join For Free

I'm doing some R&D for a future project at work and I'm currently exploring some architectural prototypes. In the last few weeks, I explored the CQRS pattern.

CQRS thanks to the separation of the read/query services from the action/command services enables us to do many things.

At a very basic level applying CQRS means something like this (in psuedo-code).

OrderingService:
void Ship(OrderId)
Order GetOrder(OrderId)
void ChangeOrderShipmentAddress(OrderId, NewAddress)
void CreateOrder(Order)
void ChangeOrderPaymentMethod(OrderId, PaymentMethod)


Applying CQRS on this would result in two services:

OrderingWriteService:
void Ship(OrderId)
void ChangeOrderShipmentAddress(OrderId, NewAddress)
void CreateOrder(Order)
void ChangeOrderPaymentMethod(OrderId, PaymentMethod)


OrderingReadService:
Order GetOrder(OrderId)


Done! That is the whole CQRS pattern applied.

This simple separation enables us to do many interesting things from an architectural point of view. This means that the data models used for querying and updates can be different. They can stay in the same data store or be completely different.

Command

A Command is the only way to change the state of our system. Commands are responsible for introducing all changes to the system. Commands should not return any value.

Query

A Query is a read-only operation. With a Query, we read the state of a part of our system. We can do filters, projections, and all sorts of data transformations to deliver data to the UI in the most useful format. A Query does not modify the state of our system. It can be run many times without side-effects.

Summary

With this first blog post about CQRS, we explored the fundamentals and some basic terms of the pattern. In the next blog posts, we'll write some code to practice the implementation of such a pattern and get our hands dirty!

References

  • Microsoft Docs - https://docs.microsoft.com/en-us/azure/architecture/patterns/cqrs
  • Martin Fowler - https://martinfowler.com/bliki/CQRS.html
  • Greg Young - http://codebetter.com/gregyoung/2010/02/16/cqrs-task-based-uis-event-sourcing-agh/
Database

Published at DZone with permission of Michele Ferracin, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • Fixing Common Oracle Database Problems
  • How to Restore a Transaction Log Backup in SQL Server
  • Why I Built the Ultimate Text Comparison Tool (And Why You Should Try It)
  • Enhancing Avro With Semantic Metadata Using Logical Types

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!