ICOM 5016 – Introduction to Database Systems Lecture 4 Dr. Manuel Rodriguez Department of...
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Transcript of ICOM 5016 – Introduction to Database Systems Lecture 4 Dr. Manuel Rodriguez Department of...
ICOM 5016 – Introduction to ICOM 5016 – Introduction to Database SystemsDatabase Systems
Lecture 4
Dr. Manuel Rodriguez
Department of Electrical and Computer Engineering
University of Puerto Rico, Mayagüez
©Silberschatz, Korth and Sudarshan2.2Database System Concepts
ObjectivesObjectives
Describe Entity Relationship Model (E-R) Model
Entity Sets
Relationship Sets
Design Issues
Mapping Constraints
Keys
E-R Diagram
Extended E-R Features
Design of an E-R Database Schema
Reduction of an E-R Schema to Tables
©Silberschatz, Korth and Sudarshan2.3Database System Concepts
Relationship Mapping CardinalitiesRelationship Mapping Cardinalities
Express the number of entities to which another entity can be associated via a relationship set.
Most useful in describing binary relationship sets.
For a binary relationship set the mapping cardinality must be one of the following types:One to one
One to many
Many to one
Many to many
©Silberschatz, Korth and Sudarshan2.4Database System Concepts
Mapping CardinalitiesMapping Cardinalities
One to one One to many
Note: Some elements in A and B may not be mapped to any elements in the other set
©Silberschatz, Korth and Sudarshan2.5Database System Concepts
One-to-Many RelationshipOne-to-Many Relationship
e1
e2
e3
e4
e5
e6
e7
EMPLOYEE
r1
r2
r3
r4
r5
r6
r7
WORKS_FOR
d1
d2
d3
DEPARTMENT
©Silberschatz, Korth and Sudarshan2.6Database System Concepts
Mapping Cardinalities Mapping Cardinalities
Many to one Many to many
Note: Some elements in A and B may not be mapped to any elements in the other set
©Silberschatz, Korth and Sudarshan2.7Database System Concepts
Many-Many RelationshipMany-Many Relationship
e1
e2
e3
e4
e5
e6
e7
r1
r2
r3
r4
r5
r6
r7
d1
d2
d3
r8
r9
©Silberschatz, Korth and Sudarshan2.8Database System Concepts
E-RE-R Diagram with a Ternary Relationship Diagram with a Ternary Relationship
©Silberschatz, Korth and Sudarshan2.9Database System Concepts
Mapping Cardinalities affect ER DesignMapping Cardinalities affect ER Design
Can make access-date an attribute of account, instead of a relationship attribute, if each account can have only one customer
I.e., the relationship from account to customer is many to one, or equivalently, customer to account is one to many
©Silberschatz, Korth and Sudarshan2.10Database System Concepts
E-R DiagramsE-R Diagrams
Rectangles represent entity sets.
Diamonds represent relationship sets.
Lines link attributes to entity sets and entity sets to relationship sets.
Ellipses represent attributes
Double ellipses represent multivalued attributes.
Dashed ellipses denote derived attributes.
Underline indicates primary key attributes (will study later)
©Silberschatz, Korth and Sudarshan2.11Database System Concepts
E-R Diagram With Composite, Multivalued, and E-R Diagram With Composite, Multivalued, and Derived AttributesDerived Attributes
©Silberschatz, Korth and Sudarshan2.12Database System Concepts
Relationship Sets with AttributesRelationship Sets with Attributes
©Silberschatz, Korth and Sudarshan2.13Database System Concepts
RolesRoles
Entity sets of a relationship need not be distinct The labels “manager” and “worker” are called roles; they specify how
employee entities interact via the works-for relationship set.
Roles are indicated in E-R diagrams by labeling the lines that connect diamonds to rectangles.
Role labels are optional, and are used to clarify semantics of the relationship
©Silberschatz, Korth and Sudarshan2.14Database System Concepts
Cardinality ConstraintsCardinality Constraints
We express cardinality constraints by drawing either a directed line (), signifying “one,” or an undirected line (—), signifying “many,” between the relationship set and the entity set.
E.g.: One-to-one relationship: A customer is associated with at most one loan via the relationship
borrower
A loan is associated with at most one customer via borrower
©Silberschatz, Korth and Sudarshan2.15Database System Concepts
One-To-Many RelationshipOne-To-Many Relationship
In the one-to-many relationship a loan is associated with at most one customer via borrower, a customer is associated with several (including 0) loans via borrower
©Silberschatz, Korth and Sudarshan2.16Database System Concepts
Many-To-One RelationshipsMany-To-One Relationships
In a many-to-one relationship a loan is associated with several (including 0) customers via borrower, a customer is associated with at most one loan via borrower
©Silberschatz, Korth and Sudarshan2.17Database System Concepts
Many-To-Many RelationshipMany-To-Many Relationship
A customer is associated with several (possibly 0) loans via borrower
A loan is associated with several (possibly 0) customers via borrower
©Silberschatz, Korth and Sudarshan2.18Database System Concepts
Participation of an Entity Set in a Participation of an Entity Set in a Relationship SetRelationship Set
Total participation (indicated by double line): every entity in the entity set participates in at least one relationship in the relationship set
E.g. participation of loan in borrower is total
every loan must have a customer associated to it via borrower
Partial participation: some entities may not participate in any relationship in the relationship set
E.g. participation of customer in borrower is partial
©Silberschatz, Korth and Sudarshan2.19Database System Concepts
Alternative Notation for Cardinality Alternative Notation for Cardinality LimitsLimits
Cardinality limits can also express participation constraints