Use the Aggregate Design Pattern to Reduce Coupling
Despite that fact that architects and developers know that tight coupling leads to increased complexity, we experience large object models growing out of control on an almost daily basis. In practice, this leads to performance problems and lack of transactional integrity. There are many reasons why this happens: the inherent complexity of the real world, which has few clear boundaries; insufficient programming language support for dynamic multi-object grouping; and weak design practices.
To illustrate the problem think of a simple order management system built from three object classes:
Item. The object model can be traversed as
order.orderLine.item. Assume now that the item price must be updated. What should happen with confirmed and delivered orders? Should their price also be changed? In most cases certainly not. To secure that rule, item price can be copied into
orderLine together with the quantity. Another example is to think about what happends when an order is deleted for some reason. Should the item be deleted as part of an order? probably not.
Dealing with this type of problem at large leads us to a set of design heuristics that was first published by Eric Evans in his book Domain-Driven Design under the heading aggregates. An aggregate is a set of objects defined to belong together and, therefore, should be handled as one unit when it comes to updates. The pattern also defines how an object model is allowed to be connected, with the following three rules considered to be the most important:
- External objects are only allowed to hold references to the aggregate root.
- Aggregate members are only allowed to be accessed through the root.
- Member objects exist only in context of the root.
Applying these rules on our simple order management system the following can be stated:
Order is the root entity of the order aggregate while
orderLine is a member.
Item is the root of another aggregate. Deleting an order implies that all of its
orderLines are deleted within the same transaction. Items are not affected by changes to orders. Orders are not affected by changes to items.
Identifying aggregates can be a difficult design task, where refactoring and domain expertise is a must. On the other hand, the aggregate pattern is a powerful tool to reduce coupling, taking out enemy number one in our struggle for good design.
By Einar Landre
This work is licensed under a Creative Commons Attribution 3
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