Aggregation vs Composition in Object-Oriented Databases
1. Definition
Aggregation and Composition are two types of associations in object-oriented databases that define relationships between objects. Understanding these concepts is crucial for effective data modeling.
2. Key Concepts
2.1 Aggregation
Aggregation is a "has-a" relationship where a child (part) can exist independently of the parent (whole). For example, a Library has many Books, but the books can exist without the library.
2.2 Composition
Composition is a stronger relationship where the child cannot exist independently of the parent. For instance, a House comprises Rooms, and if the house is destroyed, the rooms are also destroyed.
3. Code Examples
3.1 Aggregation Example
class Book {
String title;
String author;
Book(String title, String author) {
this.title = title;
this.author = author;
}
}
class Library {
List books = new ArrayList<>();
void addBook(Book book) {
books.add(book);
}
}
3.2 Composition Example
class Room {
String name;
Room(String name) {
this.name = name;
}
}
class House {
List rooms = new ArrayList<>();
House() {
// Rooms are created with the House
rooms.add(new Room("Living Room"));
rooms.add(new Room("Bedroom"));
}
}
4. Best Practices
- Use Aggregation when the lifecycle of the child is independent of the parent.
- Use Composition when the child lifecycle is tied to the parent.
- Clearly define relationships to avoid ambiguity in the model.
- Document relationships in the code for better maintainability.
5. FAQ
What is the main difference between aggregation and composition?
The main difference lies in lifecycle management: in aggregation, the child can exist independently, while in composition, the child cannot exist without the parent.
Can a class have both aggregation and composition relationships?
Yes, a class can have both types of relationships, depending on the design requirements.
How do I choose between aggregation and composition?
Consider the lifecycle of the objects involved: if they should be tightly coupled, use composition; if they can exist independently, use aggregation.