Database Management System and Object Dt

3 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Chapter Outline  1 Overview of O-O Concepts  2 O-O Identity, Object Structure and Type Constructors  3 Encapsulation of Operations, Methods and Persistence  4 Type and Class Hierarchies and Inheritance  5 Complex Objects  6 Other O-O Concepts  7 Summary & Current Status

4 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Introduction  Traditional Data Models:  Hierarchical  Network (since mid-60’s)  Relational (since 1970 and commercially since 1982)  Object Oriented (OO) Data Models since mid-90’s  Reasons for creation of Object Oriented Databases  Need for more complex applications  Need for additional data modeling features  Increased use of object-oriented programming languages  Commercial OO Database products –  Several in the 1990’s, but did not make much impact on mainstream data management

6 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe History of OO Models and Systems (contd.)  Experimental Systems:  Orion at MCC  IRIS at H-P labs  Open-OODB at T.I.  ODE at ATT Bell labs  Postgres - Montage - Illustra at UC/B  Encore/Observer at Brown

7 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe History of OO Models and Systems (contd.)  Commercial OO Database products:  Ontos  Gemstone  O2 ( -> Ardent)  Objectivity  Objectstore ( -> Excelon)  Versant  Poet  Jasmine (Fujitsu – GM)

8 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe 20.1 Overview of Object-Oriented Concepts(1)  Main Claim:  OO databases try to maintain a direct correspondence between real-world and database objects so that objects do not lose their integrity and identity and can easily be identified and operated upon  Object:  Two components:  state (value) and behavior (operations)  Similar to program variable in programming language, except that it will typically have a complex data structure as well as specific operations defined by the programmer

9 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Overview of Object-Oriented Concepts (2)  In OO databases, objects may have an object structure of arbitrary complexity in order to contain all of the necessary information that describes the object.  In contrast, in traditional database systems, information about a complex object is often scattered over many relations or records, leading to loss of direct correspondence between a real- world object and its database representation.

10 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Overview of Object-Oriented Concepts (3)  The internal structure of an object in OOPLs includes the specification of instance variables, which hold the values that define the internal state of the object.  An instance variable is similar to the concept of an attribute, except that instance variables may be encapsulated within the object and thus are not necessarily visible to external users

11 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Overview of Object-Oriented Concepts (4)  Some OO models insist that all operations a user can apply to an object must be predefined. This forces a complete encapsulation of objects.  To encourage encapsulation, an operation is defined in two parts:  signature or interface of the operation, specifies the operation name and arguments (or parameters).  method or body, specifies the implementation of the operation.

12 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Overview of Object-Oriented Concepts (5)  Operations can be invoked by passing a message to an object, which includes the operation name and the parameters.  The object then executes the method for that operation.  This encapsulation permits modification of the internal structure of an object, as well as the implementation of its operations, without the need to disturb the external programs that invoke these operations

13 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Overview of Object-Oriented Concepts (6)  Some OO systems provide capabilities for dealing with multiple versions of the same object (a feature that is essential in design and engineering applications).  For example, an old version of an object that represents a tested and verified design should be retained until the new version is tested and verified:  very crucial for designs in manufacturing process control, architecture , software systems …..

14 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Overview of Object-Oriented Concepts (7)  Operator polymorphism:  This refers to an operation’s ability to be applied to different types of objects; in such a situation, an operation name may refer to several distinct implementations, depending on the type of objects it is applied to.  This feature is also called operator overloading

15 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe 20.2 Object Identity, Object Structure, and Type Constructors (1)  Unique Identity:  An OO database system provides a unique identity to each independent object stored in the database.  This unique identity is typically implemented via a unique, system-generated object identifier, or OID  The main property required of an OID is that it be immutable  Specifically, the OID value of a particular object should not change.  This preserves the identity of the real-world object being represented.

16 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Object Identity, Object Structure, and Type Constructors (2)  Type Constructors:  In OO databases, the state (current value) of a complex object may be constructed from other objects (or other values) by using certain type constructors.  The three most basic constructors are atom, tuple, and set.  Other commonly used constructors include list, bag, and array.  The atom constructor is used to represent all basic atomic values, such as integers, real numbers, character strings, Booleans, and any other basic data types that the system supports directly.

17 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Object Identity, Object Structure, and Type Constructors (3)  Example 1  One possible relational database state corresponding to COMPANY schema

20 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Object Identity, Object Structure, and Type Constructors (6)  Example 1 (contd.)  We use i1, i2, i3, . . . to stand for unique system- generated object identifiers. Consider the following objects:  o1 = (i1, atom, ‘Houston’)  o2 = (i2, atom, ‘Bellaire’)  o3 = (i3, atom, ‘Sugarland’)  o4 = (i4, atom, 5)  o5 = (i5, atom, ‘Research’)  o6 = (i6, atom, ‘1988-05-22’)  o7 = (i7, set, {i1, i2, i3})

21 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Object Identity, Object Structure, and Type Constructors (7)  Example 1(contd.)  o8 = (i8, tuple, <dname:i5, dnumber:i4, mgr:i9, locations:i7, employees:i10, projects:i11>)  o9 = (i9, tuple, <manager:i12, manager_start_date:i6>)  o10 = (i10, set, {i12, i13, i14})  o11 = (i11, set {i15, i16, i17})  o12 = (i12, tuple, <fname:i18, minit:i19, lname:i20, ssn:i21, . . ., salary:i26, supervi sor:i27, dept:i8>)  . . .

22 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Object Identity, Object Structure, and Type Constructors (8)  Example 1 (contd.)  The first six objects listed in this example represent atomic values.  Object seven is a set-valued object that represents the set of locations for department 5; the set refers to the atomic objects with values {‘Houston’, ‘Bellaire’, ‘Sugarland’}.  Object 8 is a tuple-valued object that represents department 5 itself, and has the attributes DNAME, DNUMBER, MGR, LOCATIONS, and so on.

23 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Object Identity, Object Structure, and Type Constructors (9)  Example 2:  This example illustrates the difference between the two definitions for comparing object states for equality.  o1 = (i1, tuple, <a1:i4, a2:i6>)  o2 = (i2, tuple, <a1:i5, a2:i6>)  o3 = (i3, tuple, <a1:i4, a2:i6>)  o4 = (i4, atom, 10)  o5 = (i5, atom, 10)  o6 = (i6, atom, 20)

24 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Object Identity, Object Structure, and Type Constructors (10)  Example 2 (contd.):  In this example, The objects o1 and o2 have equal states, since their states at the atomic level are the same but the values are reached through distinct objects o4 and o5.  However, the states of objects o1 and o3 are identical, even though the objects themselves are not because they have distinct OIDs.  Similarly, although the states of o4 and o5 are identical, the actual objects o4 and o5 are equal but not identical, because they have distinct OIDs.

27 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe 20.3 Encapsulation of Operations, Methods, and Persistence (1)  Encapsulation  One of the main characteristics of OO languages and systems  Related to the concepts of abstract data types and information hiding in programming languages

28 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Encapsulation of Operations, Methods, and Persistence (2)  Specifying Object Behavior via Class Operations:  The main idea is to define the behavior of a type of object based on the operations that can be externally applied to objects of that type.  In general, the implementation of an operation can be specified in a general-purpose programming language that provides flexibility and power in defining the operations.

29 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Encapsulation of Operations, Methods, and Persistence (3)  Specifying Object Behavior via Class Operations (contd.):  For database applications, the requirement that all objects be completely encapsulated is too stringent.  One way of relaxing this requirement is to divide the structure of an object into visible and hidden attributes (instance variables).

31 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Encapsulation of Operations, Methods, and Persistence (5)  Specifying Object Persistence via Naming and Reachability:  Naming Mechanism:  Assign an object a unique persistent name through which it can be retrieved by this and other programs.  Reachability Mechanism:  Make the object reachable from some persistent object.  An object B is said to be reachable from an object A if a sequence of references in the object graph lead from object A to object B.

32 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Encapsulation of Operations, Methods, and Persistence (6)  Specifying Object Persistence via Naming and Reachability (contd.):  In traditional database models such as relational model or EER model, all objects are assumed to be persistent.  In OO approach, a class declaration specifies only the type and operations for a class of objects. The user must separately define a persistent object of type set (DepartmentSet) or list (DepartmentList) whose value is the collection of references to all persistent DEPARTMENT objects

34 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe 20.4 Type and Class Hierarchies and Inheritance (1)  Type (class) Hierarchy  A type in its simplest form can be defined by giving it a type name and then listing the names of its visible (public) functions  When specifying a type in this section, we use the following format, which does not specify arguments of functions, to simplify the discussion:  TYPE_NAME: function, function, . . . , function  Example:  PERSON: Name, Address, Birthdate, Age, SSN

35 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Type and Class Hierarchies and Inheritance (2)  Subtype:  When the designer or user must create a new type that is similar but not identical to an already defined type  Supertype:  It inherits all the functions of the subtype

36 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Type and Class Hierarchies and Inheritance (3)  Example (1):  PERSON: Name, Address, Birthdate, Age, SSN  EMPLOYEE: Name, Address, Birthdate, Age, SSN, Salary, HireDate, Seniority  STUDENT: Name, Address, Birthdate, Age, SSN, Major, GPA  OR:  EMPLOYEE subtype-of PERSON: Salary, HireDate, Seniority  STUDENT subtype-of PERSON: Major, GPA

37 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Type and Class Hierarchies and Inheritance (4)  Example (2):  Consider a type that describes objects in plane geometry, which may be defined as follows:  GEOMETRY_OBJECT: Shape, Area, ReferencePoint  Now suppose that we want to define a number of subtypes for the GEOMETRY_OBJECT type, as follows:  RECTANGLE subtype-of GEOMETRY_OBJECT: Width, Height  TRIANGLE subtype-of GEOMETRY_OBJECT: Side1, Side2, Angle  CIRCLE subtype-of GEOMETRY_OBJECT: Radius

38 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Type and Class Hierarchies and Inheritance (5)  Example (2) (contd.):  An alternative way of declaring these three subtypes is to specify the value of the Shape attribute as a condition that must be satisfied for objects of each subtype:  RECTANGLE subtype-of GEOMETRY_OBJECT (Shape=‘rectangle’): Width, Height  TRIANGLE subtype-of GEOMETRY_OBJECT (Shape=‘triangle’): Side1, Side2, Angle  CIRCLE subtype-of GEOMETRY_OBJECT (Shape=‘circle’): Radius

39 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Type and Class Hierarchies and Inheritance (6)  Extents:  In most OO databases, the collection of objects in an extent has the same type or class.  However, since the majority of OO databases support types, we assume that extents are collections of objects of the same type for the remainder of this section.  Persistent Collection:  This holds a collection of objects that is stored permanently in the database and hence can be accessed and shared by multiple programs  Transient Collection:  This exists temporarily during the execution of a program but is not kept when the program terminates

40 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe 20.5 Complex Objects (1)  Unstructured complex object:  These is provided by a DBMS and permits the storage and retrieval of large objects that are needed by the database application.  Typical examples of such objects are bitmap images and long text strings (such as documents); they are also known as binary large objects, or BLOBs for short.  This has been the standard way by which Relational DBMSs have dealt with supporting complex objects, leaving the operations on those objects outside the RDBMS.

41 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Complex Objects (2)  Structured complex object:  This differs from an unstructured complex object in that the object’s structure is defined by repeated application of the type constructors provided by the OODBMS.  Hence, the object structure is defined and known to the OODBMS.  The OODBMS also defines methods or operations on it.

42 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe 20.6 Other Objected-Oriented Concepts (1)  Polymorphism (Operator Overloading):  This concept allows the same operator name or symbol to be bound to two or more different implementations of the operator, depending on the type of objects to which the operator is applied  For example + can be:  Addition in integers  Concatenation in strings (of characters)

43 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Other Objected-Oriented Concepts (2)  Multiple Inheritance and Selective Inheritance  Multiple inheritance in a type hierarchy occurs when a certain subtype T is a subtype of two (or more) types and hence inherits the functions (attributes and methods) of both supertypes.  For example, we may create a subtype ENGINEERING_MANAGER that is a subtype of both MANAGER and ENGINEER.  This leads to the creation of a type lattice rather than a type hierarchy.

44 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Other Objected-Oriented Concepts (3)  Versions and Configurations  Many database applications that use OO systems require the existence of several versions of the same object  There may be more than two versions of an object.  Configuration:  A configuration of the complex object is a collection consisting of one version of each module arranged in such a way that the module versions in the configuration are compatible and together form a valid version of the complex object.

45 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe 20.7 Summary (1)  Object identity:  Objects have unique identities that are independent of their attribute values.  Type constructors:  Complex object structures can be constructed by recursively applying a set of basic constructors, such as tuple, set, list, and bag.  Encapsulation of operations:  Both the object structure and the operations that can be applied to objects are included in the object class definitions.

46 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Summary (2)  Programming language compatibility:  Both persistent and transient objects are handled uniformly. Objects are made persistent by being attached to a persistent collection.  Type hierarchies and inheritance:  Object types can be specified by using a type hierarchy, which allows the inheritance of both attributes and methods of previously defined types.  Extents:  All persistent objects of a particular type can be stored in an extent. Extents corresponding to a type hierarchy have set/subset constraints enforced on them.

47 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Summary (3)  Support for complex objects:  Both structured and unstructured complex objects can be stored and manipulated.  Polymorphism and operator overloading:  Operations and method names can be overloaded to apply to different object types with different implementations.  Versioning:  Some OO systems provide support for maintaining several versions of the same object.

48 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Current Status  OODB market growing very slowly these days.  O-O ideas are being used in a large number of applications, without explicitly using the OODB platform to store data.  Growth:  O-O tools for modeling and analysis, O-O Programming Languages like Java and C++  Compromise Solution Proposed:  Object Relational DB Management (Informix Universal Server, Oracle 10i, IBM’s UDB, DB2/II …)

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