


Where should condition handling happen: Data Mappers or Service Layer?
Data Mappers vs. Service Layer: Handling Conditions in Complex Queries
In the realm of programming, the issue of who should handle conditions in complex queries arises. When considering the potential limitations of the service layer, it's important to evaluate the role of both the data mapper and the service layer in this context.
Data Mapper
The primary task of a data mapper is to facilitate interaction between a domain object and its persistence mechanism. It translates domain objects into a format suitable for storage, and vice versa. The data mapper can include methods such as fetch(), save(), and remove() to perform basic operations on domain objects.
Service Layer
The service layer sits between the controller and the data mapper, providing more complex business logic and potentially handling validation and complex queries. In the example provided, a service layer method like getByAuthorAndPublisher() could parse out specific conditions and make a more tailored query to the data mapper.
Condition Handling
There are two main approaches to handling conditions in complex queries:
- Data Mapper with Multiple Conditions: The data mapper's get() method could be expanded to handle multiple conditions, allowing the service layer to pass a set of filters.
- Service Layer Parsing: The service layer could handle the condition parsing and generate the specific query that the data mapper executes.
Arguments for Data Mapper with Multiple Conditions
- Reduces the complexity of the service layer, making it a lightweight intermediary.
- Ensures domain logic remains encapsulated in the data mapper, preventing it from leaking out.
- Simplifies the interaction between the service layer and controller.
Arguments for Service Layer Parsing
- Keeps the data mapper's interface simple and generic.
- Allows for more complex and varied conditions to be handled by the service layer.
- Facilitates the application of domain rules and business logic to the retrieval of data.
Ultimately, the choice of which approach to use is a matter of personal preference and the specific requirements of the application. However, it's essential to carefully consider the advantages and limitations of each option before making a decision.
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