Understanding Anemic Domain Models and When to Use Them

📦Anemic domain models separate data and behavior, leading to a lack of encapsulation.

💡Anemic domain models are often mistaken for true domain models, but they lack the behavior that defines a domain.

⚠️Using anemic domain models can lead to code duplication and difficulties in sharing logic between different models.

🔄Transaction scripts are a simpler alternative to anemic domain models, where all logic is handled in a single script.

✅Anemic domain models should only be used when there is no need for complex domain logic and simpler approaches like transaction scripts are sufficient.

What are anemic domain models?

—Anemic domain models are object models that separate data and behavior, resulting in object models with no behavior.

What is the issue with anemic domain models?

—The issue with anemic domain models is that they lack encapsulation, leading to code duplication and difficulties in sharing logic between models.

What is the alternative to anemic domain models?

—Transaction scripts are a simpler alternative to anemic domain models, where all logic is handled in a single script.

When should anemic domain models be used?

—Anemic domain models should only be used when there is no need for complex domain logic and simpler approaches like transaction scripts are sufficient.

What is the benefit of using transaction scripts?

—Transaction scripts simplify the handling of requests by bundling all logic and state changes in a single script, making it easier to manage and maintain.

00:00Anemic domain models separate data and behavior, resulting in object models with no behavior.

04:05Transaction scripts are a simpler alternative to anemic domain models, where all logic is handled in a single script.

08:52Anemic domain models should only be used when there is no need for complex domain logic and simpler approaches like transaction scripts are sufficient.