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🎙️ 𝐒𝐡𝐚𝐫𝐞 𝐲𝐨𝐮𝐫 𝐭𝐡𝐨𝐮𝐠𝐡𝐭𝘀 𝐚𝐛𝐨𝐮𝐭 𝐂𝐐𝐑𝐒 ? 𝐂𝐐𝐑𝐒 is a pattern initially articulated by Greg Young. Essentially, it revolves around the idea that updating information can employ a different model than reading information. While this separation can be advantageous in specific scenarios, it's important to be cautious, as, for the majority of systems, implementing CQRS introduces a potentially risky level of complexity. The main idea of CQRS is to introduce a split of the conceptual model into separate models for update and display. Many implementations involve the Mediator Pattern and database duplication in addition. Here's some 𝗕𝗲𝗻𝗲𝗳𝗶𝘁 𝗮𝗻𝗱 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻 🎯 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 CQRS allows the read and writes operations to be scaled independently, since they are handled by separate models. This means that read-heavy applications can be scaled more easily without impacting the write operations, and vice versa. 🎯 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 By optimizing each model for its specific use case, CQRS can lead to significant performance improvements. The query model can be designed for fast data retrieval, while the Command model can be optimized for consistency and durability. 🎯 𝗦𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗖𝗼𝗻𝗰𝗲𝗿𝗻𝘀 CQRS provides a clear separation of concerns, making the codebase easier to understand and maintain. Developers can more easily reason about how changes to the codebase will affect the overall system. 🎯 𝗙𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 CQRS allows each model to evolve independently, since they are not tightly coupled. This means that changes to one model can be made without impacting the other model. ⚠️ 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 CQRS can increase the complexity of the application, since there are now two distinct models to maintain. This can lead to a steeper learning curve for developers and a more complex codebase overall. ⚠️ 𝗘𝘃𝗲𝗻𝘁𝘂𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 Since the Command and Query models are separate, there may be a delay between when data is written and when it becomes available for reading. This delay is known as eventual consistency and must be accounted for in the application design. ⚠️ 𝗗𝗮𝘁𝗮 𝗗𝘂𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 Since the Command and Query models are separate, there may be some duplication of data between them. This can lead to increased storage requirements and may require additional effort to keep the data in sync. #cqrs #design #pattern #programming #software #softwareengineering ___________ If you found this post helpful 👇 Like 👍 Repost 🔄

🎙️ 𝐒𝐡𝐚𝐫𝐞 𝐲𝐨𝐮𝐫 𝐭𝐡𝐨𝐮𝐠𝐡𝐭𝘀 𝐚𝐛𝐨𝐮𝐭 𝐂𝐐𝐑𝐒 ? CQRS is an intriguing pattern I often saw misuse or misunderstood, let's streamline the concept. 𝐂𝐐𝐑𝐒 is a pattern initially articulated by Greg Young. Essentially, it revolves around the idea that updating information can employ a different model than reading information. While this separation can be advantageous in specific scenarios, it's important to be cautious, as, for the majority of systems, implementing CQRS introduces a potentially risky level of complexity. The main idea of CQRS is to introduce a split of the conceptual model into separate models for update and display. Many implementations involve the Mediator Pattern and database duplication in addition. Here's some 𝗕𝗲𝗻𝗲𝗳𝗶𝘁 𝗮𝗻𝗱 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻 🎯 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 CQRS allows the read and writes operations to be scaled independently, since they are handled by separate models. This means that read-heavy applications can be scaled more easily without impacting the write operations, and vice versa. 🎯 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 By optimizing each model for its specific use case, CQRS can lead to significant performance improvements. The query model can be designed for fast data retrieval, while the Command model can be optimized for consistency and durability. 🎯 𝗦𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗖𝗼𝗻𝗰𝗲𝗿𝗻𝘀 CQRS provides a clear separation of concerns, making the codebase easier to understand and maintain. Developers can more easily reason about how changes to the codebase will affect the overall system. 🎯 𝗙𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 CQRS allows each model to evolve independently, since they are not tightly coupled. This means that changes to one model can be made without impacting the other model. ⚠️ 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 CQRS can increase the complexity of the application, since there are now two distinct models to maintain. This can lead to a steeper learning curve for developers and a more complex codebase overall. ⚠️ 𝗘𝘃𝗲𝗻𝘁𝘂𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 Since the Command and Query models are separate, there may be a delay between when data is written and when it becomes available for reading. This delay is known as eventual consistency and must be accounted for in the application design. ⚠️ 𝗗𝗮𝘁𝗮 𝗗𝘂𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 Since the Command and Query models are separate, there may be some duplication of data between them. This can lead to increased storage requirements and may require additional effort to keep the data in sync. #cqrs #design #pattern #programming #software #softwareengineering

🎙️ 𝐒𝐡𝐚𝐫𝐞 𝐲𝐨𝐮𝐫 𝐭𝐡𝐨𝐮𝐠𝐡𝐭𝘀 𝐚𝐛𝐨𝐮𝐭 𝐂𝐐𝐑𝐒 ? 𝐂𝐐𝐑𝐒 is a pattern initially articulated by Greg Young. Essentially, it revolves around the idea that updating information can employ a different model than reading information. While this separation can be advantageous in specific scenarios, it's important to be cautious, as, for the majority of systems, implementing CQRS introduces a potentially risky level of complexity. The main idea of CQRS is to introduce a split of the conceptual model into separate models for update and display. Many implementations involve the Mediator Pattern and database duplication in addition. Here's some 𝗕𝗲𝗻𝗲𝗳𝗶𝘁 𝗮𝗻𝗱 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻 🎯 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 CQRS allows the read and writes operations to be scaled independently, since they are handled by separate models. This means that read-heavy applications can be scaled more easily without impacting the write operations, and vice versa. 🎯 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 By optimizing each model for its specific use case, CQRS can lead to significant performance improvements. The query model can be designed for fast data retrieval, while the Command model can be optimized for consistency and durability. 🎯 𝗦𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗖𝗼𝗻𝗰𝗲𝗿𝗻𝘀 CQRS provides a clear separation of concerns, making the codebase easier to understand and maintain. Developers can more easily reason about how changes to the codebase will affect the overall system. 🎯 𝗙𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 CQRS allows each model to evolve independently, since they are not tightly coupled. This means that changes to one model can be made without impacting the other model. ⚠️ 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 CQRS can increase the complexity of the application, since there are now two distinct models to maintain. This can lead to a steeper learning curve for developers and a more complex codebase overall. ⚠️ 𝗘𝘃𝗲𝗻𝘁𝘂𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 Since the Command and Query models are separate, there may be a delay between when data is written and when it becomes available for reading. This delay is known as eventual consistency and must be accounted for in the application design. ⚠️ 𝗗𝗮𝘁𝗮 𝗗𝘂𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 Since the Command and Query models are separate, there may be some duplication of data between them. This can lead to increased storage requirements and may require additional effort to keep the data in sync. #cqrs #design #pattern #programming #software #softwareengineering ___________ If you found this post helpful 👇 Like 👍 Repost 🔄 Follow : Romain Ottonelli Dabadie Stay tuned 🔔

I had an interesting question about serializing the complex domain model - I receive such questions almost daily. So, I gave my default answer which is: You don't serialize the domain model; it's not meant for that! It's purpose is to model the business rules, and the business data are of secondary interest to it. But now, this commenter today went a step further and it eventually came that by "serialization" he appears to mean "persistence". I guess it is some form of document persistence, which boils down to persisting the serialized model. When that is the case, then my extended answer is that you still wouldn't serialize the full domain model, because of a few unpleasant consequences if you do: - It must remain the same in the long term, which is almost impossible; - It would be needlessly complex for the data it contains; - Object mappers might require too much configuration to work; - Some data might be private and inaccessible to the mapper; - Deserialization might require a protocol; etc. Either way, I think the most one should do is to produce a DTO out of the model and then leave transforms and JSON to the infrastructural code. The trick is in understanding that infrastructural code is by definition not burdened with domain rules. Now, I'd like to hear your opinions on this topic. It is a very important part of software development, so please add your thoughts especially if you think I forgot to cover some angle.

🌟 CQRS Simplified: Explained and Implemented 🌟 Discover the power of Command Query Responsibility Segregation (CQRS) in software architecture! By separating read and write operations, CQRS enhances performance, scalability, and maintainability of your applications. In our latest article, we break down the essentials of CQRS and guide you through a straightforward implementation using .NET Core. Perfect for modernizing your software projects! 🚀 #SoftwareDevelopment #CQRS #DotNetCore #Architecture #ProgrammingTips C# Corner

Today, I'm sharing a piece of a real project I’m currently developing, which is heading into production soon! 🎯 👨💻 What is the Repository Pattern? The Repository Pattern is a way to abstract the data access layer. Encapsulating the logic for fetching and persisting data simplifies future changes and promotes code reusability. 💡 Why am I using it in production? - Separation of Concerns: It separates the business logic from data access, allowing cleaner code and easier testing. - Flexibility: Want to swap out your database? No problem! By using repositories, your code interacts with interfaces, not implementations. - Transaction Control: In the future, the transactions in this project are expected to become complex. By using the Repository Pattern in conjunction with the Unit of Work pattern, I will have more control over these operations, ensuring atomicity and consistency across multiple repositories. - Easier Testing: By mocking the repository in tests, you can focus on testing your business logic without relying on the actual database. - CQRS Implementation: The class shown is named WriteMemberRepository because it handles the write operations in my CQRS pattern setup. There is also a ReadMemberRepository that reads data from a NoSQL database, ensuring optimized and separated read/write operations. In the image (at the end), I’m implementing a WriteMemberRepository using Clean Architecture principles for this production-ready project. Notice how I am keeping operations like Create, Delete, and Update isolated in this repository class. This setup ensures that my application’s business logic remains decoupled from the database access details. Here's a quick breakdown of the repository's key methods: - Create: Adds a new member to the database. - Delete: Removes a member. - Update: Updates an existing member’s information. By leveraging these patterns, my project will stay agile and adaptable to future requirements, ensuring long-term maintainability while keeping transaction complexity manageable and well-controlled. 🔍 As I continue working on this project, I’ll be sure to share more insights and patterns I find interesting with the community. Stay tuned for more updates! Are you also using the Repository and Unit of Work patterns in your projects? Let’s discuss how these patterns help improve software architecture! 💬 #CleanArchitecture #RepositoryPattern #UnitOfWork #CQRS #CodeQuality #SoftwareEngineering #SOLIDPrinciples #dotnet #EntityFramework #ProductionReady

Ever wonder why do bolts and nuts have hexagonal shape instead square shape? Every shape has its own qualities. So we should know to where it can be used. Same theory is applicable for software design patterns. Let's see to where the CQRS pattern can be used. Command Query Responsibility Segregation (CQRS)

"Doing CQRS the wrong way is easy" proceed to misunderstand CQRS completely. CQRS is about something other than databases, despite being a fundamentally shared misunderstanding across the industry. You can still do CQRS with the same database. CQRS is not a system design concern. CQRS is about data modeling and data structures if you wish. Does CQRS play well with Event-sourced systems? Most definitely. But because I am a good driver, it doesn't make me a car! Two completely different things that play nice together, but they are not required to go along. #KnowledgeIsNotUnderstanding

Doing CQRS+ES the wrong way is easy. CQRS stands for command query responsibility segregation and it is a way of separating reads from a database from writes to it. ES stands for event sourcing. Together they offer some technical opportunities: * put the business logic on the write path, resulting in a less diluted domain model * optimize the read path for speed * using caches and cache invalidation becomes easier What often happens though is that the development team makes the events (for ES) too fine grained. Example of a fine grained event stream: * LastNameChanged * StreetChanged * StreetNumberChanged * AddressAdditionChanged What is actually happening when those database fields have changed? Where is the business value? The answer: nowhere. What you need to do instead is to apply systems thinking, or like I call it - use-case thinking. And issue only one appropriate event, or multiple appropriate events in case of use-case composition. Example of a better event stream: * ProspectiveCustomerMarried And from there, the event can be picked up and acted on according to business needs. This kind of thinking leads to many benefits: * a crisper, less diluted domain model * a domain model that is easier to test * simpler code, which is easier to understand It also leads to better products because you foster product thinking also in the minds of the developers, but that's just one of the side effects. I want to clarify: sometimes really just the street number changes, because the user mistyped his address upon registration. The point is: the business needs to send a selection of baby products to potential new mothers, not to anyone making typos. By focusing more on business needs, you end up with a better architecture, simpler code, systems thinking and an overall better product. Advice: talk to and empathize more with the "devil", the business people. You gain an important tool - systems thinking - a tool you can use to grow your technical prowess. #domaindrivendesign #softwarearchitecture #cqrs #microservices #testdrivendevelopment

🚀 Day 74 of 100: Exploring CQRS (Command Query Responsibility Segregation) 🚀 Hello everyone! Today, let's explore CQRS, a powerful design pattern used in modern software architectures to enhance scalability and performance. 𝙒𝙝𝙖𝙩 𝙞𝙨 𝘾𝙌𝙍𝙎? CQRS stands for Command Query Responsibility Segregation. It suggests that the data read operations (queries) and data write operations (commands) should be separated into different models. This separation allows for optimizing each model independently based on its specific requirements. 𝙆𝙚𝙮 𝘾𝙤𝙣𝙘𝙚𝙥𝙩𝙨 1. Separation of Commands and Queries: - Commands: Actions that change the state of the system (e.g., create, update, delete). - Queries: Actions that retrieve data without modifying the state (e.g., read operations). 2. Different Models: - Command Model: Optimized for handling write operations efficiently. - Query Model: Optimized for fast and scalable read operations. 3. Benefits of CQRS: - Scalability: Allows scaling read and write operations independently. - Performance: Optimizes data retrieval and updates based on specific needs. - Simplicity: Simplifies the design by focusing each model on its core responsibilities. - Flexibility: Enables using different storage solutions or databases for commands and queries. 𝙐𝙨𝙚 𝘾𝙖𝙨𝙚𝙨 - Complex Domains: Applications dealing with complex business logic and varied data access patterns. - High-Performance Systems: Systems requiring fast read access and efficient data processing. - Event Sourcing: Often used in conjunction with event sourcing to capture all changes as events. 𝘾𝙝𝙖𝙡𝙡𝙚𝙣𝙜𝙚𝙨 - Complexity: Introduces additional complexity compared to traditional CRUD-based architectures. - Consistency: Requires implementing mechanisms for maintaining consistency between command and query models. 𝘾𝙤𝙣𝙘𝙡𝙪𝙨𝙞𝙤𝙣 CQRS is a valuable pattern for designing scalable and responsive software systems by separating read and write responsibilities. It enhances performance, flexibility, and maintainability, especially in domains with diverse data access patterns. Stay tuned for more insights and best practices! 🌟🔍 #CQRS #SoftwareArchitecture #100DaysOfCode Let’s explore CQRS and its benefits in building robust software solutions! 🚀✨ Share your thoughts in the comments below. ☺