Difficult business logic - CQRS forces you to avoid mixing domain logic and infrastructural operations. Scalability matters - With CQRS you can achieve great read and write …

2017年10月25日 · CQRS leans heavily on domain-driven design principles. A key principle is the encapsulation of your domain objects. As a result, you wouldn't expect a domain object to …

2012年5月23日 · If you are using CQRS, then probably you will have a repository that looks somewhat like this. public interface IRepository<T> where T : AggregateRoot, new() { void …

2017年5月24日 · I am building HTTP REST API and implementing CQRS, DDD, ES, and microservices concept for the API. Cool. Keep firmly in your mind that the REST API part is …

2015年5月2日 · The important thing is that you separate your write and read models in classic CQRS style. That does not mean that you cannot do a read in the same request as you do the …

2012年4月7日 · However, when looking at CQRS, the query would not hit the same repository. Instead, it would perhaps go directly against the data store and always be denormalized. And …

2018年8月21日 · In CQRS the write persistence and the read persistence are separate (logically, temporally and even physically) and what you are experiencing is normal, you should embrace …

2016年10月16日 · It's a bad practice, because such way ignores two main advantages of CQRS. First is simple code support and clear structure, because you have separated business logic …

For Event store I recommend superior Postgresql extension called TimescaleDB, which focuses on high performance timeseries data processing (events are timeseries) in large volume. Of …

2017年4月16日 · CQRS and CQS are like microservices and class decomposition: the main idea is the same ("tend to small cohesive modules"), but they lie on different semantic levels. The …