In this section, we will explore how to transform Entity-Relationship (ER) diagrams into relational schemas. This process is crucial for designing a database that accurately represents the data and its relationships. We will cover the following steps:
- Identifying Entities and Attributes
- Mapping Entities to Tables
- Mapping Relationships
- Handling Special Cases
- Identifying Entities and Attributes
Entities
Entities represent real-world objects or concepts. In an ER diagram, entities are typically represented by rectangles.
Attributes
Attributes are properties or characteristics of entities. They are usually represented by ovals connected to their respective entities.
Example:
Consider an ER diagram with two entities: Student
and Course
.
- Student:
StudentID
,Name
,Email
- Course:
CourseID
,Title
,Credits
- Mapping Entities to Tables
Each entity in the ER diagram is mapped to a table in the relational schema. The attributes of the entity become the columns of the table.
Example:
Student Table |
---|
StudentID (PK) |
Name |
Course Table |
---|
CourseID (PK) |
Title |
Credits |
- Mapping Relationships
One-to-One (1:1) Relationships
In a one-to-one relationship, each instance of an entity is associated with a single instance of another entity. This can be implemented by adding a foreign key to either of the tables.
Example:
If each Student
has one Profile
, you can add a ProfileID
foreign key to the Student
table.
Student Table |
---|
StudentID (PK) |
Name |
ProfileID (FK) |
One-to-Many (1:N) Relationships
In a one-to-many relationship, one instance of an entity is associated with multiple instances of another entity. This is implemented by adding a foreign key to the table representing the "many" side of the relationship.
Example:
If a Course
can have multiple Students
, add a CourseID
foreign key to the Student
table.
Student Table |
---|
StudentID (PK) |
Name |
CourseID (FK) |
Many-to-Many (M:N) Relationships
In a many-to-many relationship, multiple instances of an entity are associated with multiple instances of another entity. This requires creating a junction table that includes foreign keys referencing the primary keys of both entities.
Example:
If students can enroll in multiple courses, create an Enrollment
table.
Enrollment Table |
---|
StudentID (FK) |
CourseID (FK) |
EnrollmentDate |
- Handling Special Cases
Composite Attributes
Composite attributes can be broken down into simpler attributes. For example, a FullName
attribute can be divided into FirstName
and LastName
.
Multi-Valued Attributes
Multi-valued attributes should be represented by a separate table. For example, if a Student
can have multiple PhoneNumbers
, create a PhoneNumbers
table.
PhoneNumbers Table |
---|
StudentID (FK) |
PhoneNumber |
Weak Entities
Weak entities depend on another entity for their existence and do not have a primary key of their own. They are represented by a table that includes a foreign key referencing the related entity's primary key.
Example:
If Order
is a weak entity dependent on Customer
, the Order
table will include a CustomerID
foreign key.
Order Table |
---|
OrderID (PK) |
OrderDate |
CustomerID (FK) |
Practical Example
Let's consider a more comprehensive example involving Students
, Courses
, and Enrollments
.
ER Diagram
- Entities:
Student
,Course
- Attributes:
Student
:StudentID
,Name
,Email
Course
:CourseID
,Title
,Credits
- Relationships:
Student
enrolls inCourse
(Many-to-Many)
Relational Schema
Student Table |
---|
StudentID (PK) |
Name |
Course Table |
---|
CourseID (PK) |
Title |
Credits |
Enrollment Table |
---|
StudentID (FK) |
CourseID (FK) |
EnrollmentDate |
Exercises
Exercise 1: Transform an ER Diagram
Given the following ER diagram, transform it into a relational schema.
Entities:
Author
:AuthorID
,Name
Book
:BookID
,Title
,PublicationYear
Relationships:
Author
writesBook
(One-to-Many)
Solution:
Author Table |
---|
AuthorID (PK) |
Name |
Book Table |
---|
BookID (PK) |
Title |
PublicationYear |
AuthorID (FK) |
Exercise 2: Handle Composite and Multi-Valued Attributes
Given the following ER diagram, transform it into a relational schema.
Entities:
Employee
:EmployeeID
,FullName
,PhoneNumbers
Attributes:
FullName
:FirstName
,LastName
PhoneNumbers
: Multiple values
Solution:
Employee Table |
---|
EmployeeID (PK) |
FirstName |
LastName |
PhoneNumbers Table |
---|
EmployeeID (FK) |
PhoneNumber |
Conclusion
Transforming ER diagrams into relational schemas is a fundamental skill in database design. By following the steps outlined in this section, you can ensure that your database accurately represents the data and its relationships. Practice with different ER diagrams to become proficient in this process.
Fundamentals of Databases
Module 1: Introduction to Databases
Module 2: Relational Databases
Module 3: Non-Relational Databases
- Introduction to NoSQL
- Types of NoSQL Databases
- Comparison between Relational and Non-Relational Databases
Module 4: Schema Design
- Principles of Schema Design
- Entity-Relationship (ER) Diagrams
- Transformation of ER Diagrams to Relational Schemas