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Entity-Relationship (ER) Data Model
(Based on Chapter 3 in Fundamentals of Database Systems
by Elmasri and Navathe, Ed. 4)
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Outline1 Using High-Level Conceptual Data Models for
Database Design2 An Example Database Application (COMPANY)3 ER Model Concepts
3.1 Entities and Attributes3.2 Entity Types, Value Sets, and Key
Attributes3.3 Relationships and Relationship Types3.4 Structural Constraints and Roles3.4 Weak Entity Types
4 ER Diagrams Notation5 Relationships of Higher Degree
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2 COMPANY Database Requirements for the COMPANY Database:
(需求的文字敘述 ) The company is organized into
DEPARTMENTs. Each department has a name, number,
and an employee who manages the department.
We keep track(記錄 ) of the start date of the department manager.
A department may have several locations.
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Each department controls a number of PROJECTs.
Each project has a name, number, and is located at a single location.
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We store each EMPLOYEE's social security number, address, salary, sex, and birth date.
Each employee works for one department but may work on several projects.
We keep track of the number of hours per week that an employee currently works on each project.
We also keep track of the direct supervisor of each employee.
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Each employee may have a number of DEPENDENTs.
For each dependent, we keep their name, sex, birth date, and relationship to the employee.
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3 ER Model Concepts (將文字敘述化為圖形表示 ) Entities (實體 )and Attributes(屬性 ) Entity Types, Value Sets, and Key
Attributes Relationships(關係 ) and
Relationship Types Structural Constraints(結構限制 )
and Roles(角色 ) Weak Entity Types(弱實體 )
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Entities An entity is a “thing” in the real world
with an independent existence(獨立存在 ) ( conceptual or physical ) .
Entities are specific objects or things in the mini-world that are represented in the database;
for example the EMPLOYEE John Smith, the DEPARTMENT Research, the PROJECT ProductX.
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Attributes Attributes(屬性 ) are properties
(特性 ) used to describe an entity; for example an EMPLOYEE entity
may have a Name, SSN, Address, Sex, BirthDate.
屬性的集合可以表示一個實體 實體以黑點表示
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Types of Attributes Simple(單一 ) versus Composite(組合 )
Single-value (單值 )versus Multi-valued(多值 )
Stored (儲存 )versus Derived(推導 )
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Simple Attributes: Each entity has a single atomic
value for the attribute; for example SSN or Sex.
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Composite Attributes: The attribute may be composed of
several components; for example
Address(Apt#, House#, Street, City, State, ZipCode, Country) or
Name(FirstName, MiddleName, LastName).
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Single-valued Attributes Most attributes have a single value
for a particular entity; such attributes are called single-valued.
For example, Age is a single-valued attribute of person.
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Multi-valued Attributes: An entity may have multiple values
for that attribute; for example
Color of a CAR or PreviousDegrees of a STUDENT.
Denoted as {Color} or {PreviousDegrees}.
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Stored VS. Derived Attributes
In some cases two (or more) attribute values are related.
Some attribute values can be derived from related entities.
For example, The value of Age can be determined
from the current date and the value of that person’s BirthDate.
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Null Values In some case a particular entity
may not have an applicable value for an attributes.
For such situations, a special value called null is created.
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Entity Types(實體型態 ) Entities with the same basic
attributes are grouped or typed into an entity type. (同一類東西的集合 )
For example, the EMPLOYEE entity type or the PROJECT entity type.
ER Model 不對個別實體描述 ,只對型態描述
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Entity Sets The collection of all entities of a
particular entity type in the database at any point in time is called an entities set.
entities set 就是 entity type.
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Key Attributes of an Entities Type
An attribute of an entity type for which each entity must have a unique value is called a key attribute of the entity type.
For example, SSN of EMPLOYEE.
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A key attribute may be composite. For example,
VehicleRegistrationNumber is a key of the CAR entity type with components (Number, State).
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An entity type may have more than one key.
For example, the CAR entity type may have two keys: VehicleIdentificationNumber and VehicleRegistrationNumber(Number,
State).
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Value Sets (Domains) of Attributes
Each simple attributes of an entity type is associated with a value set (or domain of values), which specifies the set of values that may be assigned to that attribute for each individual entity.
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Relationships(關係 ) A relationship relates two or
more distinct entities with a specific meaning;
For example, EMPLOYEE John Smith works on the
ProductX PROJECT or EMPLOYEE Franklin Wong manages
the Research DEPARTMENT.
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Relationship Types Relationships of the same type are
grouped or typed into a relationship type.
For example, the WORKS_ON relationship type in which
EMPLOYEEs and PROJECTs participate, or the MANAGES relationship type in which
EMPLOYEEs and DEPARTMENTs participate.
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Relationship Types A relationship type R among n
entity types E1, E2,…,En defines a set of associations – or a relationship set – among entities from these types.
ER Model只描述關係型態(Relationship type),不描述個別的關係
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Degree of a Relationship Type The degree of a relationship type
is the number of participating entity types.
Both MANAGES and WORKS_ON are binary relationships.
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Relationship types More than one relationship type
can exist with the same participating entity types;
for example, MANAGES and WORKS_FOR are distinct relationships between EMPLOYEE and DEPARTMENT participate.
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Relationships of Higher Degree
Relationship types of degree 2 are called binary
Relationship types of degree 3 are called ternary and of degree n are called n-ary
In general, an n-ary relationship is not equivalent to n binary relationships
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Roles Names( 當實體在關係中的角色不清楚的時候用 ) Each entity type that participates in
a relationship type plays a particular role in the relationship.
The role name signifies the role that a participating entity from the entity type plays in each relationship instance, and helps to explain what the relationship means.
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Roles Name For example,
in the WORK_FOR relationship type, EMPLOYEE plays the role of
employee or worker and DEPARTMENT plays the role of
department or employer.
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Recursive(自身 ) Relationships A relationship can relate two entities
of the same entity type ; (使用角色 ) for example,
a SUPERVISION relationship type relates one EMPLOYEE (in the role of supervisee ) to another EMPLOYEE (in the role of supervisor ).
This is called a recursive relationship type.
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Structural constraints on relationships: Cardinality ratio (of a binary
relationship): 1:1, 1:N, N:1, or M:N.
Participation constraint (on each participating entity type): total (called existence
dependency ) or partial.
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Cardinality ratios for Binary Relationships. The cardinality ratio(對應的個數 )
for a binary relationship specifies the number of relationship instances that an entity can participate in.
The possible cardinality ratios for binary relationship types are 1:1, 1:N, N:1, M:N.
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Participation Constraints The participation constraint(參加限制 ) specifies whether the existence of an entity depends on its being related to another entity via the relationship type.
There are two types of participation constraints – total and partial.
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Relationships as Attributes. A relationship type can have
attributes; for example,
HoursPerWeek of WORKS_ON; its value for each relationship
instance describes the number of hours per week that an EMPLOYEE works on a PROJECT.
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Weak Entity Types(弱實體型態 )
An entity type that does not have a key attribute.
A weak entity type must participate in an identifying relationship type with an owner or identifying entity type.
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Weak Entity Types Entities are identified by the
combination of : A partial key of the weak entity type The particular entity they are related
to in the identifying entity type
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Example: Suppose that a DEPENDENT entity is
identified by the dependent's first name and birthdate, and the specific EMPLOYEE that the dependent is related to.
DEPENDENT is a weak entity type with EMPLOYEE as its identifying entity type via the identifying relationship type DEPENDENT_OF.
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Alternative (min, max) notation for relationship structural constraints: Specified on each participation of an
entity type E in a relationship type R. Specifies that each entity e in E
participates in at least min and at most max relationship instances in R.
Default(no constraint): min=0, max=n. Must have min<max, min>0, max>1. Derived from the mini-world constraints.
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Examples (a): A department has exactly one
manager and an employee can manage at most one department. Specify (1,1) for participation of
DEPARTMENT in MANAGES Specify (0,1) for participation of
EMPLOYEE in MANAGES
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Examples (b): An employee can work for exactly
one department but a department can have any number of employees. Specify (1,1) for participation of
EMPLOYEE in WORKS_FOR Specify (0,n) for participation of
DEPARTMENT in WORKS_FOR
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