🔏
Tech
  • 🟢App aspects
    • Software architecture
      • Caching
      • Anti-patterns
      • System X-ability
      • Coupling
      • Event driven architecture
        • Command Query Responsibility Segregation (CQRS)
        • Change Data Capture (CDC)
      • Distributed transactions
      • App dev notes
        • Architecture MVP
      • TEMP. Check list
      • Hexagonal arch
      • Communication
        • REST vs messaging
        • gRPC
        • WebSocket
      • Load balancers
      • Storage limits
      • Event storming
    • Authentication
    • Deployment strategy
  • Databases
    • Classification
    • DB migration tools
    • PostreSQL
    • Decision guidance
    • Index
      • Hash indexes
      • SSTable, LSM-Trees
      • B-Tree
      • Engines, internals
    • Performance
  • System design
    • Interview preparation
      • Plan
        • Instagram
        • Tinder
        • Digital wallet
        • Dropbox
        • Live video streaming
        • Uber
        • Whatsup
        • Tiktok
        • Twitter
        • Proximity service
    • Algorithms
    • Acronyms
  • 🟢Programming languages
    • Java
      • Features
        • Field hiding
        • HashCode() and Equals()
        • Reference types
        • Pass by value
        • Atomic variables
      • Types
      • IO / NIO
        • Java NIO
          • Buffer
          • Channel
        • Java IO: Streams
          • Input streams
            • BufferedInputStream
            • DataInputStream
            • ObjectInputStream
            • FilterInputStream
            • ByteArrayInputStream
        • Java IO: Pipes
        • Java IO: Byte & Char Arrays
        • Java IO: Input Parsing
          • PushbackReader
          • StreamTokenizer
          • LineNumberReader
          • PushbackInputStream
        • System.in, System.out, System.error
        • Java IO: Files
          • FileReader
          • FileWriter
          • FileOutputStream
          • FileInputStream
      • Multithreading
        • Thread liveness
        • False sharing
        • Actor model
        • Singleton
        • Future, CompletableFuture
        • Semaphore
      • Coursera: parallel programming
      • Coursera: concurrent programming
      • Serialization
      • JVM internals
      • Features track
        • Java 8
      • Distributed programming
      • Network
      • Patterns
        • Command
      • Garbage Collectors
        • GC Types
        • How GC works
        • Tools for GC
    • Kotlin
      • Scope functions
      • Inline value classes
      • Coroutines
      • Effective Kotlin
    • Javascript
      • Javascript vs Java
      • TypeScript
    • SQL
      • select for update
    • Python
  • OS components
    • Network
      • TCP/IP model
        • IP address in action
      • OSI model
  • 🟢Specifications
    • JAX-RS
    • REST
      • Multi part
  • 🟢Protocols
    • HTTP
    • OAuth 2.0
    • LDAP
    • SAML
  • 🟢Testing
    • Selenium anatomy
    • Testcafe
  • 🟢Tools
    • JDBC
      • Connection pool
    • Gradle
    • vim
    • git
    • IntelliJ Idea
    • Elastic search
    • Docker
    • Terraform
    • CDK
    • Argo CD
      • app-of-app setup
    • OpenTelemetry
    • Prometheus
    • Kafka
      • Consumer lag
  • 🟢CI
    • CircleCi
  • 🟢Platforms
    • AWS
      • VPC
      • EC2
      • RDS
      • S3
      • IAM
      • CloudWatch
      • CloudTrail
      • ELB
      • SNS
      • Route 53
      • CloudFront
      • Athena
      • EKS
    • Kubernetes
      • Networking
      • RBAC
      • Architecture
      • Pod
        • Resources
      • How to try
      • Kubectl
      • Service
      • Tooling
        • ArgoCD
        • Helm
        • Istio
    • GraalVM
    • Node.js
    • Camunda
      • Service tasks
      • Transactions
      • Performance
      • How it executes
  • 🟢Frameworks
    • Hibernate
      • JPA vs Spring Data
    • Micronaut
    • Spring
      • Security
      • JDBC, JPA, Hibernate
      • Transactions
      • Servlet containers, clients
  • 🟢Awesome
    • Нейробиология
    • Backend
      • System design
    • DevOps
    • Data
    • AI
    • Frontend
    • Mobile
    • Testing
    • Mac
    • Books & courses
      • Path: Java Concurrency
    • Algorithms
      • Competitive programming
    • Processes
    • Finance
    • Electronics
  • 🟢Electronics
    • Arduino
    • IoT
  • Artificial intelligence
    • Artificial Intelligence (AI)
  • 🚀Performance
    • BE
  • 📘Computer science
    • Data structures
      • Array
      • String
      • LinkedList
      • Tree
    • Algorithms
      • HowTo algorithms for interview
  • 🕸️Web dev (Frontend)
    • Trends
    • Web (to change)
  • 📈Data science
    • Time series
Powered by GitBook
On this page

Was this helpful?

  1. App aspects
  2. Software architecture
  3. Event driven architecture

Command Query Responsibility Segregation (CQRS)

PreviousEvent driven architectureNextChange Data Capture (CDC)

Last updated 2 years ago

Was this helpful?

  • Model for read and write are different

  • CQRS fits well with . It's common to see CQRS system split into separate services communicating with . This allows these services to easily take advantage of .

  • Having separate models raises questions about how hard to keep those models consistent, which raises the likelihood of using .

CQRS is useful in some places, but not in others. Many systems do fit a CRUD mental model, and so should be done in that style. CQRS is a significant mental leap for all concerned, so shouldn't be tackled unless the benefit is worth the jump. While I have come across successful uses of CQRS, so far the majority of cases I've run into have not been so good, with CQRS seen as a significant force for getting a software system into serious difficulties.

Main benefit is in handling high performance applications. CQRS allows you to separate the load from reads and writes allowing you to scale each independently.

🟢
Taken from Uncle Bob
event-based programming models
Event Collaboration
Event Sourcing
eventual consistency