Repository Pattern or Clean Architechure?

Question

Do you think Repository pattern with unit of work is convinient for long term projects? or we should follow clean architecture?

Rajendra Taradale · Answer

If your requirements are well-defined and scoped the Repository pattern could be suitable. However Clean Architecture would be a more appropriate choice for long-term projects requiring flexibility and the ability to adapt to new changes without disrupting or breaking existing layers. It offers a plug-and-play style approach allowing for easier integration of new features.

Jithu Thomas · Answer

Aspect Repository Pattern with Unit of Work Clean Architecture Purpose Abstracts data access logic Separates system into layers with clear boundaries Abstraction Level Moderate High Complexity Can be simpler for small projects More complex especially initially Centralized Data Management Yes via Unit of Work Managed in Infrastructure layer Separation of Concerns Moderate Strong separation Independence Repositories abstract data sources Each layer is independent Testability Easier to mock repositories for unit tests Business logic is decoupled from external concerns Maintainability Good but can become complex if overused High changes in one part have minimal impact on others Performance Overhead Potential overhead due to extra abstraction layer May have initial setup overhead Learning Curve Moderate Steeper learning curve Code Reuse Encourages reuse of data access logic Modular encourages reuse across layers Upfront Effort Moderate Requires more upfront effort to set up Example Usage Centralized transaction management Modular architecture each layer has distinct role Combining Both Approaches Using the Repository Pattern with Unit of Work within the Infrastructure layer of Clean Architecture can leverage the strengths of both patterns. Here's a comparison of how each pattern fits into the combined approach: Aspect Repository Pattern with Unit of Work within Clean Architecture Purpose Provides data access abstraction within a modular architecture Abstraction Level High with clear separation in Infrastructure layer Complexity High but manageable with clear layer separation Centralized Data Management Managed by Unit of Work in Infrastructure layer Separation of Concerns Strong with clear boundaries between layers Independence High each layer operates independently Testability High allows easy mocking of repositories and isolation of tests Maintainability Very high each layer is maintainable and scalable Performance Overhead Initial setup overhead but efficient once established Learning Curve Steep requires understanding of both patterns Code Reuse High reuse of repositories and services across layers Upfront Effort High significant effort to set up initially Example Usage Centralized data access with modular maintainable structure By combining both patterns you achieve a robust architecture that ensures long-term maintainability scalability and testability which is crucial for complex long-term projects.