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DbmsConceptBeginner · 3 min read

What is Aggregation in DBMS: Definition and Examples

In a DBMS, aggregation is a concept where a relationship between entities is treated as a higher-level entity itself. It allows modeling complex real-world scenarios by grouping related entities and their relationships into a single abstract entity.
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How It Works

Aggregation in DBMS works by treating a relationship between two or more entities as a new entity. Imagine you have two things, like a Student and a Project, connected by a relationship called Works_On. Aggregation lets you treat this Works_On relationship as a single object, so you can connect it to other entities, like a Supervisor.

This is useful when you want to add more details about the relationship itself, not just the entities. For example, you might want to record the date a student started working on a project or who supervises that work. Aggregation helps by bundling the relationship and its details into one unit that can be linked to other parts of the database.

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Example

This example shows how aggregation groups a relationship as an entity to connect with another entity.

pseudo
Entities:
  Student(student_id, name)
  Project(project_id, title)
  Supervisor(supervisor_id, name)

Relationship:
  Works_On(student_id, project_id)

Aggregation:
  Assign(Works_On, supervisor_id)

-- Explanation:
-- 'Works_On' connects Student and Project.
-- 'Assign' treats 'Works_On' as an entity and links it to Supervisor.
Output
Student 1 works on Project A, supervised by Supervisor X Student 2 works on Project B, supervised by Supervisor Y
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When to Use

Use aggregation when you need to represent complex relationships that involve other entities or when the relationship itself has attributes. For example, in a company database, if employees work on projects and each work assignment has a manager, aggregation helps model this by treating the work assignment as an entity linked to the manager.

This approach simplifies database design and makes queries easier when dealing with multi-level relationships.

Key Points

  • Aggregation treats a relationship as a higher-level entity.
  • It helps model complex real-world scenarios.
  • Useful when relationships have their own attributes or connections.
  • Improves clarity and organization in database design.

Key Takeaways

Aggregation in DBMS treats relationships as entities to model complex connections.
It is useful when relationships have attributes or need to link to other entities.
Aggregation simplifies database design by grouping related data logically.
Use aggregation to represent multi-level relationships clearly and effectively.