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Determining Responsibility for Handling Conditions in Complex Queries: Service Layer vs. Data Mapper
In the pursuit of data retrieval and manipulation, the question arises: who should bear the burden of handling complex query conditions - the data mapper or the service layer?
The Data Mapper
The data mapper pattern dictates a simple interface, with key responsibilities being data fetching, saving, and deletion. However, its implementation details remain open to interpretation.
Despite its minimalist interface, the data mapper can be extended to incorporate some conditional logic, such as retrieving objects based on specific identifiers or author names.
The Service Layer
The service layer, on the other hand, acts as an intermediary between the controller and data mapper. It can alleviate the complexity of handling multiple conditions by calling more specific methods directly, such as BookDataMapper->getByAuthorAndPublisher().
Advantages of Service Layer Condition Handling
Some advocate for having the service layer parse query conditions for several reasons:
Advantages of Data Mapper Condition Handling
Others prefer to centralize conditional logic within the data mapper:
Optimal Approach
The optimal approach depends on the specific application and domain-specific logic. However, a few general guidelines can be considered:
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