1. Chapter 4
Object and Object-Relational Databases (Part ½: Object-Oriented Concepts)
Lecturer: H.Ben Othmen
Department of Computer Science, Umm Al-Qura University University year: 1435/1436
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2. Outline Advanced Database Applications Weaknesses of RDBMSs
Object-Oriented Concepts
Abstraction, encapsulation, data independence
Objects and Attributes
Object Identity
Methods
Classes
Object-Oriented DBMSs
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3. Advanced Database Applications
Computer-aided design (CAD);
Computer-aided manufacturing (CAM);
Computer-aided software engineering (CASE);
Network management systems;
Office information systems (OIS) and multimedia systems;
Digital publishing;
Geographic information systems (GIS);
Interactive and dynamic Web sites.
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4. Weaknesses of RDBMSs Poor representation of ‘real world’ entities
Semantic overloading
Poor support for integrity and enterprise constraints
Homogeneous data structure
Limited operations
Difficulty handling recursive queries
Impedance mismatch
Other problems with RDBMSs associated with concurrency,
schema changes, and poor navigational access
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5. Object-Oriented Concepts
Abstraction is the process of identifying the essential aspects of an entity and ignoring the unimportant properties
There are two fundamental aspects of abstraction: encapsulation and information hiding.
The concept of encapsulation means that an object contains both the data structure and the set of operations that can be used to manipulate it.
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6. Object-Oriented Concepts
The concept of information hiding means that we separate the external aspects of an object from its internal details, which are hidden from the outside world (information hiding provides a form of data independence).
These concepts simplify the construction and maintenance of applications through modularization
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7. Object-Oriented Concepts
The object structure can be changed without affecting any applications that use the object.
There are two views of encapsulation:
The object-oriented programming language (OOPL) view
Example of Languages with object-oriented features:C++, C#, Java, PHP5…..
The database adaptation of that view.
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8. Objects and Attributes
A uniquely identifiable entity that contains both the attributes that describe the state of a ‘real world’ object and the actions that are associated with it..
Examples of objects using the DreamHome case study: a branch office, a member of staff, and a property.
Each object can be defined and maintained independently of the others (an object is very similar to the definition of an entity).
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9. Objects and Attributes
The current state of an object is described by one or more attributes (Instance variables).
Attributes can be classified as simple or complex
A simple attribute can be a primitive type such as integer, string, real, and so on.
Example:
branchNo with the literal value ‘B003’
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10. Objects and Attributes
A complex attribute can contain collections and/or references
Example, the attribute SalesStaff is a collection of Staff objects
A reference attribute represents a relationship between objects and contains a value, or collection of values, which are themselves objects (A reference attribute is conceptually similar to a foreign key in the relational data model or a pointer in a programming language)
Example: SalesStaff is, more precisely, a collection of references to Staff objects)
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11. Objects and Attributes
An object that contains one or more complex attributes is called a complex object
Attributes are generally referenced using the ‘dot’ notation.
Example, the street attribute of a branch object is referenced as: branchObject.street
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12. Object Identity
A key part of the definition of an object is unique identity. In an object-oriented system, each object is assigned an Object Identifier (OID) when it is created that is:
system-generated;
unique to that object;
invariant, in the sense that it cannot be altered during its lifetime. Once the object is created, this OID will not be reused for any other object, even after the object has been deleted;
independent of the values of its attributes (that is, its state). Two objects could have the same state but would have different identities;
invisible to the user (ideally).
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13. Methods
An object encapsulates both data and functions into a self-contained package.
In object technology, functions are usually called methods.
Object showing
attributes and
methods.
Example of a
method.
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14. Classes Classes are blueprints for defining a set of similar objects
The attributes and associated methods are defined once for the class rather than separately for each object
Example: all branch objects would be described by a single Branch class
The objects in a class are called instances of the class.
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15. Comparison of Object-Oriented Data Modeling and Conceptual Data Modeling
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16. Object-Oriented DBMSs
OODM (Object-Oriented Data Model): A (logical) data model that captures the semantics of objects supported in object-oriented programming.
OODB (Object-Oriented Database): A persistent and sharable collection of objects defined by an OODM.
OODBMS (Object-Oriented DBMS): The manager of an OODB.
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17. Object Oriented Data Model
Origins of object oriented data model
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18. The Object Query Language
The Object Query Language (OQL) provides declarative access to the object database using an SQL-like syntax
OQL can be used both for both associative and navigational access:
An associative query returns a collection of objects. How these objects are located is the responsibility of the ODMS, rather than the application program.
A navigational query accesses individual objects and object relationships are used to navigate from one object to another.
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19. The Object Query Language
An OQL query is a function that delivers an object whose type may be inferred from the operator contributing to the query expression
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20. Bibliography
Database Systems, A Practical Approach to Design, Implementation, and Management, Fourth edition by Thomas Connolly-Carolyn Begg
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