What are the best practices for implementing the data mapper pattern?
The data mapper pattern separates the in-memory objects from the database, allowing for better flexibility. Key best practices include: 1. Keep your mappers simple and focused. 2. Use interfaces to define your mappers. 3. Ensure that your mappers are testable. 4. Avoid business logic in mappers.
Can you explain why keeping mappers simple is important?
Keeping mappers simple is crucial because it enhances maintainability and readability. Complex mappers can lead to bugs and make it harder to understand the data flow.
What should I avoid when designing a data mapper?
Avoid embedding business logic within your mappers. They should only handle data transfer between objects and the database, not contain any business rules.
How can I test my data mappers effectively?
You can test your data mappers by using unit tests to verify that they correctly map data between your objects and the database. Mocking the database can help isolate the tests.
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