Below are the CRUD operations surrounding the Post module, totaling up to 282 lines of code. This can lead to several issues such as violations of the SRP principle in SOLID, race conditions, inconsistent states, lock conflicts, and so on.
These issues can be addressed by reorganizing the code — clearly separating services, using transactions, applying Optimistic/Pessimistic Locking, and offloading auxiliary logic to Events or Queues.
Additionally, you might consider adopting the CQRS architecture, a pattern that clearly separates read and write operations. When combined with principles such as event sourcing, proper locking, and asynchronous processing, CQRS can help the system become more scalable, manageable, and less prone to complex errors.
Note: This is just a sample source code for Post, following a flat comment structure similar to Google Maps
With CQRS, the read and write flows are separated, allowing each component to have a single, focused responsibility. Each CommandHandler is responsible solely for performing actions (create, update, delete), while each QueryHandler is only concerned with data retrieval.
These handlers typically contain only a single function for processing, making the codebase clean and elegant, avoiding the "God service" anti-pattern. It also improves performance, as the read flow can use a dedicated database, isolated from the complex operations in the write flow.
By separating read and write logic, it's also easier to:
- Apply transactions to CommandHandlers
- Use locking strategies (optimistic/pessimistic) in writes to avoid conflicts
- Isolate side effects of write actions, reducing the risk of affecting the overall system state
As a result, the codebase becomes easier to scale and maintain.
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