Table of Contents
Command Query Responsibility Segregation (CQRS)
Return to Cloud Native Topics, design by contract (DbC) methodology
Return to DDD, CQRS Glossary, CQRS Topics, Cloud Native Software Architecture, Software Architecture, DevOps and Software Architecture, DevSecOps and Software Architecture - Security and Software Architecture - Pentesting and Software Architecture - Chaos Engineering and Software Architecture, Python Software Architecture, Java Software Architecture, WebAssembly Software Architecture, Software Architecture Glossary, Kubernetes and Software Architecture, Software Architecture Topics, Awesome Software Architecture
Command Query Responsibility Segregation (CQRS) - Also called Command query separation (CQS)
Command–query separation (CQS) is a principle of imperative computer programming. It was devised by Bertrand Meyer as part of his pioneering work on the Eiffel programming language.
It states that every method should either be a command that performs an action, or a query that returns data to the caller, but not both. In other words, Asking a question should not change the answer. More formally, methods should return a value only if they are referentially transparent and hence possess no side effects.
Definition
Summarize this topic in 1 paragraph. Put a section heading for each paragraph. You MUST put double square brackets around each computer buzzword, product name, or jargon or technical words. Answer in MediaWiki syntax.
CQRS
CQRS (Command Query Responsibility Segregation) is a software architectural pattern that advocates for the separation of concerns between commands that modify data (writes) and queries that retrieve data (reads) within a software system. By segregating these responsibilities, CQRS allows for the optimization of each side independently, enabling developers to design more scalable and maintainable systems. In this pattern, commands and queries are handled by distinct components or services, each tailored to its specific role. This separation facilitates the implementation of different data storage and processing strategies for commands and queries, such as using event sourcing for commands and traditional CRUD operations for queries. CQRS is commonly employed in complex domains where the requirements for reading and writing data differ significantly, allowing developers to optimize the system's performance and scalability accordingly.
Detailed Summary
Summarize this topic in 15 paragraphs. Put a section heading for each paragraph. You MUST put double square brackets around each computer buzzword, product name, or jargon or technical words. Answer in MediaWiki syntax.
Alternatives to CQRS
CQRS Alternatives - Alternatives to CQRS
Summarize the alternatives to CQRS in 5 paragraphs. Put a section heading for each paragraph. You MUST put double square brackets around each computer buzzword, product name, or jargon or technical words. Answer in MediaWiki syntax.
CQRS Cloud Market Survey
List the competing alternatives in 1. AWS CQRS, 2. Azure CQRS, 3. GCP CQRS, 4. IBM CQRS, 6. IBM z Mainframe CQRS, 7. Oracle CQRS, 8. Kubernetes CQRS, 9. VMWare CQRS / Tanzu CQRS, 10. Alibaba CQRS, 11. DigitalOcean CQRS, 12. Huawei CQRS, 13. Tencent CQRS, 14. On-Premises Data Center CQRS using Open Source Cloud / Private Cloud Technologies. When you make a numbered list, precede the number with an asterisk and a space. Put a section heading for each paragraph. You MUST put double square brackets around ALL computer buzzwords, product names, or jargon or technical words. Answer in MediaWiki syntax.
Best Practices for CQRS
Summarize this topic in 20 paragraphs. Put a section heading for each paragraph. You MUST put double square brackets around ALL computer buzzwords, product names, or jargon or technical words. Answer in MediaWiki syntax.
- Snippet from Wikipedia: Command Query Responsibility Segregation
In information technology, Command Query Responsibility Segregation (CQRS) is a system architecture that extends the idea behind command–query separation (CQS) to the level of services. Such a system will have separate interfaces to send queries and to send commands. As in CQS, fulfilling a query request will only retrieve data and will not modify the state of the system (with some exceptions like logging access), while fulfilling a command request will modify the state of the system.
Many systems push the segregation to the data models used by the system. The models used to process queries are usually called read models and the models used to process commands write models.
Although its origin is usually attributed to Greg Young in 2010, everything indicates that the precursor of CQRS was Udi Dahan who in August 2008 published on his blog a training course that aimed to apply CQRS together with SOA and in more detail in December 2009 in the article Clarified CQRS.
Research It More
- CQRS on DuckDuckGo
- CQRS on Google.com
- CQRS on Azure Docs
- CQRS on Red Hat Docs
- CQRS on Oracle Docs
Fair Use Sources
- CQRS for Archive Access for Fair Use Preservation, quoting, paraphrasing, excerpting and/or commenting upon
CQRS: CQRS Glossary, CQRS Topics, Python CQRS, Java CQRS, JavaScript CQRS, CQRS Security, CQRS Alternatives. Most Common topics: CQRS (Command Query Responsibility Segregation), Event sourcing, Event-driven architecture, Domain-driven design, Command, Query, Event store, Aggregate (domain-driven design), Command handler, Query handler, Event, Event handler, Read model, Write model, Projection (event sourcing), Event-driven integration, Domain event, Command model, CQRS with event sourcing, CQRS with traditional storage. Software Architecture, Software Architecture Glossary, Software Architecture Topics, GitHub CQRS, Awesome CQRS. (navbar_cqrs – see also navbar_software_architecture)
Software Architecture: Software Architects, Architectural Characteristics - The "-ilities" (Availability (Confidentiality, Integrity - CIA Triad), Reliability, Testability, Scalability, Security, Agility, Fault Tolerance, Elasticity, Recoverability, Performance, Deployability, Learnability, Usability), Monolithic Architecture, Microservices Architecture, Service-Oriented Architecture (SOA), Event-Driven Architecture, Layered Architecture, Client-Server Architecture, Peer-to-Peer Architecture, Serverless Architecture, Cloud-Native Architecture, Domain-Driven Design (DDD), Hexagonal Architecture, Clean Architecture, Onion Architecture, CQRS (Command Query Responsibility Segregation), Event Sourcing, API Gateway Pattern, Backend for Frontend (BFF) Pattern, Database Sharding, Data Lake Architecture, Big Data Architecture, IoT Architecture, Blockchain Architecture, Artificial Intelligence and Machine Learning Architecture, High Availability Systems, Scalable Web Architecture, Security Architecture, Network Architecture, Infrastructure as Code (IaC), Continuous Integration/Continuous Deployment (CI/CD), DevOps Practices, Test-Driven Development (TDD), Behavior-Driven Development (BDD), System Design Principles, Design Patterns, Architectural Patterns, Performance Optimization, Load Balancing, Caching Strategies, Data Partitioning, Rate Limiting, API Design, Micro Frontends, Cross-Cutting Concerns, Versioning Strategies, Dependency Injection, Modular Design, Software Design Principles (SOLID), Reactive Systems, Distributed Systems Design, Failover Strategies, Disaster Recovery Planning, Data Consistency Models, Concurrency Models, Message Queuing, Stream Processing, Workflow Engines, Business Process Management (BPM), Enterprise Integration Patterns, Data Integration Patterns, Mobile App Architecture, Game Architecture, Virtual Reality (VR) Architecture, Augmented Reality (AR) Architecture, Content Delivery Networks (CDN), Edge Computing, Fog Computing, Hybrid Cloud Architecture, Multi-Tenant Architecture, OAuth and OpenID Connect, Web Security Architecture, Cryptographic Architecture, Compliance and Regulatory Frameworks, Architecture Review Processes, Technical Debt Management, Architectural Refactoring, Monitoring and Observability, Logging Strategies, Feature Toggling, A/B Testing, Blue-Green Deployments, Canary Releases, Service Mesh, Containerization and Orchestration, Kubernetes Architecture, Docker Architecture, Function as a Service (FaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Software as a Service (SaaS), Blockchain as a Service (BaaS), Artificial Intelligence as a Service (AIaaS), Machine Learning Operations (MLOps), DataOps, Architecture Decision Records (ADR), Technical Writing for Architects, Stakeholder Management, Architecture Governance, Cost Optimization in Architecture, Sustainability in Software Architecture, Ethics in Software Architecture, Future Trends in Software Architecture
Software Architecture and DevOps - Software Architecture and SRE - Software Architecture of CI/CD, Cloud Native Software Architecture - Microservices Software Architecture - Serverless Software Architecture, Software Architecture and Security - Software Architecture and DevSecOps, Software Architecture and Functional Programming, Software Architecture of Concurrency, Software Architecture and Data Science - Software Architecture of Databases, Software Architecture of Machine Learning, Software Architecture Bibliography (Fundamentals of Software Architecture by Mark Richards and Neal Ford, Software Architecture - The Hard Parts), Software Architecture Courses, Software Architecture Glossary, Awesome Software Architecture, Software Architecture GitHub, Software Architecture Topics
SHORTEN THIS fork from navbar_golang_detailed:
Programming languages, abstraction, agile, ahead-of-time (AOT), AI, algebraic data types, algorithms, Android, anonymous functions, anonymous methods, AOP, AOT, APIs, arguments, ARM, arithmetic, arrays, aspect-oriented, assignment, associative arrays, async, asynchronous callbacks, asynchronous programming, automatic variables, automation, Avro, backend, backwards compatibility, block scoped, Booleans, Boolean expressions, buffer overflow, builds, built-in types, bytecode, cache, caching, call by reference, call by value, callbacks, call stack, casting, characters, Chocolatey, CI/CD, classes, CLI, client-side, closures, cloud (Cloud Native-AWS-Azure-GCP-IBM Cloud-IBM Mainframe-OCI), code smells, coercion, collections, command-line interface, commands, comments, compilers, complex numbers, composition, concurrency, concurrent programming, conditional expressions, conferences, constants, constructors, containers, control flow, control structures, coroutines, crashes, creators, currying, databases, data manipulation, data persistence, data science, data serialization, data structures, data synchronization, dates, dates and times, deadlocks, debugging, declarative, deferred callbacks, delegates, delegation, dependency injection, design patterns, designers, destructors, DevOps, dictionaries, dictionary comprehensions, DI, distributed software, distributions, distros, DL, Docker, do-while, DSL, duck typing, dynamic binding, dynamic scope, dynamically scoped, dynamically typed, dynamic variables, eager evaluation, embedded, encapsulation, encryption, enumerated types, enumeration, enums, environment variables, errors, error handling, evaluation strategy, event-driven, event handlers, event loops, exception handling, executables, execution, expressions, FaaS, Facebook, fibers, fields, file input/output, file synchronization, file I/O, filter, first-class functions, fold, foreach loops, fork-join, floating-point, FP, frameworks, FreeBSD, frontend, functions, functional, functional programming, function overloading, garbage collection, generators, generator expressions, generics, generic programming, GitHub, global variables, GraphQL, gRPC, GUI, hashing, heap, heap allocation, hello world, higher-order functions, history, Homebrew, HTTP, idempotence, IDEs, import, imperative, immutable values, immutability, inheritance, influenced, influenced by, installation, integers, integration testing, interfaces, internationalization, interpreters, interprocess communication (IPC), iOS, IoT, IPCs, ISO Standard, iteration, JetBrains, JIT, JSON, JSON-RPC, JSON Web Tokens, JSON Web Token (JWT), Just-in-time (JIT), JWT, K8S, keywords, lambdas, lambda expressions, lambda functions, language spec, lazy evaluation, lexically scoped, lexical scoping, libraries, linters, Linux, lists, list comprehensions, literals, localization, local variables, locks, logging, logo, looping, loosely typed, loose typing, macOS, map, mascot, math, member variables, memoization, memory addressing, memory allocation, malloc, memory management, memory safety, message queues, metaclasses, meta-programming, methods, method overloading, MFA, ML, microservices, Microsoft, mobile dev, modules, modulo operators, monitoring, multiprocessing, multi-threaded, mutable values, mutability, mutex (mutual exclusion), namespaces, natural language processing (NLP), networking, network programming, NLP, non-blocking, non-blocking I/O, null, null reference, null coalescing operators, numbers, number precision, OAuth, objects, object code, object comparisons, object creation, object creators, object destruction, object destructors, object lifetime, object-oriented constructors, object-oriented programming, object serialization, observability, OOP, operators, operator overloading, optimizations, organizations, ORMs, packages, package managers, pass by reference, pass by value, parallel computing, parallel programming, parallelism, parameters, people, performance, persistence, pipelines, pointers, polymorphism, primitives, primitive data types, probability, procedural, processes, producer-consumer, programmers, programming, programming paradigm, program structure, program termination, Protocol Buffers (Protobuf), Protocol Buffers, Protobuf, proxies, public-key encryption, PKI, pure functions, race conditions, random, reactive, readability, records, recursion, reentrancy, refactoring, reference counting, reference types, referential transparency, reflection, regex, remote procedure calls (RPC), REPL, reserved words, REST, REST APIs, RHEL, RPCs, runtimes, safe navigation operators, SDK, secrets, security, serialization, serverless, server-side, sets, set comprehensions, side effects, signed integers, SMTP, Snapcraft, social media, sockets, source code, source-to-source compiler, SQL, SSL - SSL-TLS, Single sign-on (SSO), SSO, StackOverflow, stack, stack allocation, Stack overflow, standards, standard errors, standard input, standard library, standard operators, standard output, state, statements, strings, string concatenation, string functions, string operations, scheduling, scientific notation, scope, scope rules, scoping, scripting, static analyzers, statically scoped, static scoping, statically typed, static variables, statistics, strongly typed, structural typing, synchronization, syntax, systems programming, TCP/IP, TDD, testing, test frameworks, threads, thread-local storage (TLS), TLS, thread locking, thread locks, thread safety, thread scheduling, thread synchronization, times, timers, to JavaScript, tools, toolchain, transpiler, transpiling to JavaScript, truth values, tuples, type checking, type conversion, type inference, type safety, type system, web dev, while loops, work stealing, values, value types, variables, variable lifetime, variable scope, versions, virtual environments, virtual machine, Ubuntu, Unicode, unit testing, unsigned integers, usability, weak typing, weakly typed, Windows, wrappers, written using, x86-64-AMD64, XML, YAML;
. (navbar_software_architecture - see also navbar_microservices, navbar_design_patterns, navbar_programming_detailed - Based on MASTER navbar_golang_detailed. navbar_programming is the shorter one.
© 1994 - 2024 Cloud Monk Losang Jinpa or Fair Use. Disclaimers
SYI LU SENG E MU CHYWE YE. NAN. WEI LA YE. WEI LA YE. SA WA HE.