ITEC 3220A Using and Designing Database Systems Instructor: Gordon Turpin Course Website:...
-
Upload
francis-campbell -
Category
Documents
-
view
222 -
download
3
Transcript of ITEC 3220A Using and Designing Database Systems Instructor: Gordon Turpin Course Website:...
ITEC 3220AUsing and Designing Database Systems
Instructor: Gordon TurpinCourse Website: www.cse.yorku.ca/~gordon/itec3220S07 Office: CSEB3020
Appendix G
Object-Oriented Database
3
Object Orientation
• Object Orientation – Set of design and development
principles– Based on autonomous computer
structures known as objects
• OO Contribution areas– Programming Languages– Graphical User Interfaces– Databases– Design – Operating Systems
4
• Concepts stem from object-oriented programming languages Ada, ALGOL, LISP, SIMULA
• OOPLs goals– Easy-to-use development environment– Powerful modeling tools for development– Decrease in development time– Make reusable code
• OO Attributes– Data set not passive– Data and procedures bound together– Objects can act on self
Evolution of OO Concepts
5
OO Concepts: Objects
• Abstract representation of a real-world entity – Unique identity– Embedded properties– Ability to interact with other objects
and self• OID
– Unique to that object– Assigned by system at moment of
object’s creation – Cannot be changed under any
circumstances– Can be deleted only if the object is
deleted– Can never be reused
6
Attributes (Instance Variables)
• Attributes:
– Known as instance variables in OO environment
• Domain:
– Logically groups and describes the set of all possible values that an attribute can have
7
Object State
• Set of values that object’s attributes have at a given time
• Can vary, although its OID remains the same
• To change the object’s state, change the values of the object’s attributes
• To change the object’s attribute values, send a message to the object
– Message will invoke a method
8
Messages and Methods
• Method: – Code that performs a specific
operation on object’s data– Protects data from direct and
unauthorized access by other objects
– Used to change the object’s attribute values or to return the value of selected object attributes
– Represent real-world actions
9
Classes
• Collection of similar objects with shared structure (attributes) and behavior (methods)
• Class instance or object instance
– Each object in a class
10
Protocol
• An object’s public aspect
• How it is known by other objects as well as end users
• Other objects communicate with the student object using any of these methods
11
Object Characteristics
12
Class Hierarchy
• Superclass • Subclass• Class lattice
13
Inheritance
• Ability of object to inherit the data structure and behavior of classes above it
• Single inheritance– Class has one immediate
superclass
14
Inheritance (Cont’d.)
• Multiple– Class has more than one
immediate superclass
15
Method Overriding
• Method redefined at subclass level
16
Polymorphism
• Allows different objects to respond to same message in different ways
17
Abstract Data Types (ADT)
• Describes a set of similar objects• Differs from conventional data
types– Operations are user-defined– Uses encapsulation
• Definitions needed for creation– Name– Data representation– Abstract data type operations and
constraints
18
Object Classification
• Simple – Only single-valued attributes – No attributes refer to other object
• Composite – At least one multivalued attribute – No attributes refer to other object
• Compound – At least one attribute that references other
object• Hybrid
– Repeating group of attributes– At least one refers to other object
• Associative object
19
OO vs. E-R Model Components
20
Class-Subclass Relationship
21
• Attribute-Class Link• Object’s attribute references
another object• Relationship Representation
– Related classes enclosed in boxes – Double line on right side indicates
mandatory– Connectivity indicated by labeling
each box• 1:M • M:N • M:N with an Intersection Class
Interobject Relationships
22
1:1 and 1:M Relationships
23
Employee-Dependent Relationship
24
Representing the M:N Relationship
25
Representing the M:N Relationship with Associated
Attributes
26
Representing the M:N Relationship with Intersection
Class
27
• Late binding– Data type of attribute not known
until runtime– Allows different instances of
same class to contain different data types for same attribute
• Early binding– Allows database to check data
type at compilation or definition time
Late and Early Binding
28
• Object, Entity, and Tuple– OODM object has behavior, inheritance, and
encapsulation – OO modeling more natural
• Class, Entity Set, and Table– Class allows description of data and behavior– Class allows abstract data types
• Encapsulation and Inheritance– Object inherits properties of superclasses– Encapsulation hides data representation and
method
OODM vs. E-R Data Models
29
• Object ID– Not supported in
relational models
• Relationships– OODM
• Interclass references • Class hierarchy
inheritance
– Relational models • Value-based
approach
OODM vs. E-R Data Models (Cont’d)
• Access– Relational
models • SQL
– OODM• Navigational • Set-oriented
access
30
Example
Assume the following business rules:• A course contains many sections, but each
section has only one course• A section is taught by one professor, but each
professor may teach one or more different sections of one or more course
• A section may contain many students, and each student is enrolled in many sections, but each section belongs to a different course. (Students my take many courses, but they cannot take many sections of the same course.)
• Each section is taught in one room, but each room may be used to teach several different sections of one or more courses
• A professor advises many students, but a student has only one advisor
31
Example (Cont’d)
•Identify and describe the main classes of objects
•Modify your description in part 1 to include the use of abstract types such as Name, DOB, and Address
•Create the conceptual OO representations
32
More Example
Using intersection class to represent the following relationship
33
OO Design Example
Design OO conceptual representations for an engineering company, using the following requirements:•A customer has a unique customer identifier. Other important attributes of each customer include name and address. They can request any number of work orders from the company.•The company maintains a list of materials. The data about materials include a unique material identifier, a name and cost.•A work order has a unique work order number, a creation date, a completion date, a work address and a set of (one or more) tasks. In addition, each work order has one optional supervising employee. Each employee has a unique number assigned by the company. Other important attributes of each employee include name and skill. •Each work order also has a collection of materials. The same material can be used by any number of work orders. Material requirement includes material quantity.•Each task has a unique task identifier, a task name, an hourly rate and estimated hours. Tasks are standardized across work orders so that the same task may be performed on many work orders. We have to keep record of actual hours of each task on a work order.
34
OO Influences on Relational Model
• Extensibility of new user-defined (abstract) data types
• Complex objects• Inheritance• Procedure calls (rules or
triggers)• System-generated identifiers
(OID surrogates)