Udi Dahan discusses the CQRS architectural pattern, its relation to the command pattern, event ordering, event sourcing, and its popularity in different programming communities. He also provides resources for learning more about CQRS.
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Quick takeaways
CQRS is a valuable architectural pattern for domains with complex business logic, allowing for separate handling of queries and commands and improving scalability and performance.
CQRS can be applied to both relational and NoSQL databases, with the choice of data persistence aligning with the specific requirements and complexities of the domain.
Deep dives
CQRS and its Background
CQRS (Command Query Responsibility Segregation) was coined by Udi Dehaan and Greg Young as a solution to the problem of using the same set of objects for commands and queries. They found that using different sets of objects worked better, leading to the development of CQRS. CQRS is primarily suited for domains with complex business logic and tasks, rather than simple CRUD operations.
Benefits and Use Cases of CQRS
CQRS is beneficial in domains where commands and queries have different complexities and requirements. In areas with complex queries or commands involving validation, business rules, and side effects, CQRS helps in structuring the objects and logic more effectively. It allows for separate handling of queries and commands, ensuring better scalability and performance. CQRS is not necessary for simple data-centric operations but becomes valuable when dealing with multi-user collaborative domains or when needing highly consistent data for command processing.
CQRS and Data Persistence
CQRS can be applied to both relational and NoSQL databases. For command processing, a highly normalized relational database may be optimal for fine-grained updates. On the other hand, denormalized or transformed data structures like JSON can be used for queries to provide more efficient operations. Additionally, different data models or even different database technologies, such as graph databases or columnar stores, may be preferred for certain types of queries or commands. The choice of data persistence should align with the specific requirements and complexities of the domain.
CQRS and Domain-Driven Design (DDD)
CQRS and DDD are closely related, with CQRS being an extension of DDD in the command side. DDD emphasizes a collaborative design approach with domain experts, focusing on representing business tasks rather than just data manipulation. This aligns with the command-centric nature of CQRS, where task-oriented language is used to represent requirements. However, it is crucial to ensure that command processing code in one subdomain does not directly query data from another subdomain, maintaining the separation and clarity of responsibilities.
Guest Udi Dahan talks with host Robert Blumen about the CQRS (command query responsibility segregation) architectural pattern. The discussion begins with a review of the command pattern. Then a high-level overview of CQRS, which consists of a separation of a command processing subsystem that updates a write model from one or more distinct and separate, […]
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