🔍Forcing the use of aggregates can result in unnecessary complexity when making changes to code.
💡Aggregates should be used when there is a need for consistency within a bounded context.
🛠️Treating data models as aggregates can add unnecessary interaction and make code harder to maintain.
🔄Value objects can be used for trivial validation, replacing the need for aggregates.
✅Use aggregates when there is a need for consistency and enforcing behavior within a bounded context.
What are the pitfalls of using aggregates in domain-driven design?
—Forcing the use of aggregates can lead to unnecessary complexity and make code harder to maintain, especially when making changes.
When should aggregates be used?
—Aggregates should be used when there is a need for consistency and enforcing behavior within a bounded context.
What can be used instead of aggregates for trivial validation?
—Value objects can be used for trivial validation, simplifying the code and maintaining separation of concerns.
What is the purpose of treating data models as aggregates?
—Treating data models as aggregates can add unnecessary interaction and make code harder to maintain, especially when there is no need for consistency within a bounded context.
How can aggregates improve code organization and maintainability?
—Aggregates help enforce consistency and encapsulate behavior within a bounded context, making the code easier to understand and maintain.
00:00In this video, Derek Martin discusses the pitfalls of using aggregates in domain-driven design.
01:11Forcing the use of aggregates can result in unnecessary complexity and make code harder to maintain.
03:09Aggregates should be used when there is a need for consistency and enforcing behavior within a bounded context.
06:19Treating data models as aggregates can add unnecessary interaction and make code harder to maintain, especially when there is no need for consistency.
08:49Value objects can be used for trivial validation, simplifying the code and maintaining separation of concerns.
