1. Introduction to Object DBMSs Transparencies © Pearson Education Limited 1995, 2005

2. Objectives u Advanced database applications. u Unsuitability of RDBMSs for advanced database applications. u Object-oriented concepts. u Problems of storing objects in relational database. u The next generation of database systems. u Basics of object-oriented database analysis and design. © Pearson Education Limited 1995, 2005

3. Advanced Database Applications u Computer-Aided Design/Manufacturing (CAD/CAM) u Computer-Aided Software Engineering (CASE) u Network Management Systems u Office Information Systems (OIS) and Multimedia Systems u Digital Publishing u Geographic Information Systems (GIS) u Interactive and Dynamic Web sites u Other applications with complex and interrelated objects and procedural data. © Pearson Education Limited 1995, 2005

4. Computer-Aided Design (CAD) u Stores data relating to mechanical and electrical design, for example, buildings, airplanes, and integrated circuit chips. u Designs of this type have some common characteristics: –Data has many types, each with a small number of instances. –Designs may be very large. © Pearson Education Limited 1995, 2005

5. Computer-Aided Design (CAD) –Design is not static but evolves through time. –Updates are far-reaching. –Involves version control and configuration management. –Cooperative engineering. © Pearson Education Limited 1995, 2005

6. Advanced Database Applications u Computer-Aided Manufacturing (CAM) –Stores similar data to CAD, plus data about discrete production. u Computer-Aided Software Engineering (CASE) –Stores data about stages of software development lifecycle. © Pearson Education Limited 1995, 2005

7. Network Management Systems u Coordinate delivery of communication services across a computer network. u Perform such tasks as network path management, problem management, and network planning. u Systems handle complex data and require real- time performance and continuous operation. u To route connections, diagnose problems, and balance loadings, systems have to be able to move through this complex graph in real-time. © Pearson Education Limited 1995, 2005

8. Office Information Systems (OIS) and Multimedia Systems u Stores data relating to computer control of information in a business, including electronic mail, documents, invoices, and so on. u Modern systems now handle free-form text, photographs, diagrams, audio and video sequences. u Documents may have specific structure, perhaps described using mark-up language such as SGML, HTML, or XML. © Pearson Education Limited 1995, 2005

9. Digital Publishing u Becoming possible to store books, journals, papers, and articles electronically and deliver them over high-speed networks to consumers. u As with OIS, digital publishing is being extended to handle multimedia documents consisting of text, audio, image, and video data and animation. u Amount of information available to be put online is in the order of petabytes (10 15 bytes), making them largest databases DBMS has ever had to manage. © Pearson Education Limited 1995, 2005

10. Geographic Information Systems (GIS) u GIS database stores spatial and temporal information, such as that used in land management and underwater exploration. u Much of data is derived from survey and satellite photographs, and tends to be very large. u Searches may involve identifying features based, for example, on shape, color, or texture, using advanced pattern-recognition techniques. © Pearson Education Limited 1995, 2005

11. Interactive and Dynamic Web Sites u Consider online catalog for selling clothes. Web site maintains a set of preferences for previous visitors and allows a visitor to: –obtain 3D rendering of any item based on color, size, fabric, etc.; –modify rendering to account for movement, illumination, backdrop, occasion, etc.; –select accessories to go with the outfit, from items presented in a sidebar; u Need to handle multimedia content and to interactively modify display based on user preferences and user selections. Added complexity of providing 3D rendering. © Pearson Education Limited 1995, 2005

12. Weaknesses of RDBMSs u Poor Representation of “Real World” Entities –Normalization leads to relations that do not correspond to entities in “real world”. u Semantic Overloading –Relational model has only one construct for representing data and data relationships: the relation. –Relational model is semantically overloaded. © Pearson Education Limited 1995, 2005

13. Weaknesses of RDBMSs u Poor Support for Integrity and Enterprise Constraints u Homogeneous Data Structure –Relational model assumes both horizontal and vertical homogeneity. –Many RDBMSs now allow Binary Large Objects (BLOBs). © Pearson Education Limited 1995, 2005

14. Weaknesses of RDBMSs u Limited Operations –RDBMs only have a fixed set of operations which cannot be extended. u Difficulty Handling Recursive Queries –Extremely difficult to produce recursive queries. –Extension proposed to relational algebra to handle this type of query is unary transitive (recursive) closure operation. © Pearson Education Limited 1995, 2005

15. Example - Recursive Query © Pearson Education Limited 1995, 2005

16. Weaknesses of RDBMSs u Impedance Mismatch –Most DMLs lack computational completeness. –To overcome this, SQL can be embedded in a high-level 3GL. –This produces an impedance mismatch - mixing different programming paradigms. –Estimated that as much as 30% of programming effort and code space is expended on this type of conversion. © Pearson Education Limited 1995, 2005

17. Weaknesses of RDBMSs u Other Problems with RDBMSs –Transactions are generally short-lived and concurrency control protocols not suited for long-lived transactions. –Schema changes are difficult. –RDBMSs are poor at navigational access. © Pearson Education Limited 1995, 2005

18. Object-Oriented Concepts u Abstraction, encapsulation, information hiding. u Objects and attributes. u Object identity. u Methods and messages. u Classes, subclasses, superclasses, and inheritance. u Overloading. u Polymorphism and dynamic binding. © Pearson Education Limited 1995, 2005

19. Abstraction Process of identifying essential aspects of an entity and ignoring unimportant properties. u Concentrate on what an object is and what it does, before deciding how to implement it. © Pearson Education Limited 1995, 2005

20. Encapsulation and Information Hiding Encapsulation –Object contains both data structure and set of operations used to manipulate it. Information Hiding –Separate external aspects of an object from its internal details, which are hidden from outside. u Allows internal details of an object to be changed without affecting applications that use it, provided external details remain same. u Provides data independence. © Pearson Education Limited 1995, 2005

21. Object Uniquely identifiable entity that contains both the attributes that describe the state of a real-world object and the actions associated with it. –Definition very similar to that of an entity, however, object encapsulates both state and behavior; an entity only models state. © Pearson Education Limited 1995, 2005

22. Attributes Contain current state of an object. u Attributes can be classified as simple or complex. u Simple attribute can be a primitive type such as integer, string, etc., which takes on literal values. u Complex attribute can contain collections and/or references. u Reference attribute represents relationship. u An object that contains one or more complex attributes is called a complex object. © Pearson Education Limited 1995, 2005

23. Object Identity Object identifier (OID) assigned to object when it is created that is: –System-generated. –Unique to that object. –Invariant. –Independent of the values of its attributes (that is, its state). –Invisible to the user (ideally). © Pearson Education Limited 1995, 2005

24. Object Identity - Implementation u In RDBMS, object identity is value-based: primary key is used to provide uniqueness. u Primary keys do not provide type of object identity required in OO systems: –key only unique within a relation, not across entire system; –key generally chosen from attributes of relation, making it dependent on object state. © Pearson Education Limited 1995, 2005

25. Object Identity - Implementation u Programming languages use variable names and pointers/virtual memory addresses, which also compromise object identity. u In C/C++, OID is physical address in process memory space, which is too small - scalability requires that OIDs be valid across storage volumes, possibly across different computers. u Further, when object is deleted, memory is reused, which may cause problems. © Pearson Education Limited 1995, 2005

26. Advantages of OIDs u They are efficient. u They are fast. u They cannot be modified by the user. u They are independent of content. © Pearson Education Limited 1995, 2005

27. Methods and Messages Method –Defines behavior of an object, as a set of encapsulated functions. Message –Request from one object to another asking second object to execute one of its methods. © Pearson Education Limited 1995, 2005

28. Object Showing Attributes and Methods © Pearson Education Limited 1995, 2005

29. Example of a Method © Pearson Education Limited 1995, 2005

30. Class Blueprint for defining a set of similar objects. u Objects in a class are called instances. u Class is also an object with own class attributes and class methods. © Pearson Education Limited 1995, 2005

31. Class Instance Share Attributes and Methods © Pearson Education Limited 1995, 2005

32. Subclasses, Superclasses, and Inheritance Inheritance allows one class of objects to be defined as a special case of a more general class. u Special cases are subclasses and more general cases are superclasses. u Process of forming a superclass is generalization; forming a subclass is specialization. u Subclass inherits all properties of its superclass and can define its own unique properties. u Subclass can redefine inherited methods. © Pearson Education Limited 1995, 2005

33. Subclasses, Superclasses, and Inheritance u All instances of subclass are also instances of superclass. u Principle of substitutability states that instance of subclass can be used whenever method/construct expects instance of superclass. u Relationship between subclass and superclass known as A KIND OF (AKO) relationship. u Four types of inheritance: single, multiple, repeated, and selective. © Pearson Education Limited 1995, 2005

34. Single Inheritance © Pearson Education Limited 1995, 2005

35. Multiple Inheritance © Pearson Education Limited 1995, 2005

36. Repeated Inheritance © Pearson Education Limited 1995, 2005

37. Overriding, Overloading, and Polymorphism Overriding –Process of redefining a property within a subclass. Overloading –Allows name of a method to be reused with a class or across classes. Polymorphism –Means ‘many forms’. Three types: operation, inclusion, and parametric. © Pearson Education Limited 1995, 2005

38. UML u Represents unification and evolution of several OOAD methods, particularly: –Booch method, –Object Modeling Technique (OMT), –Object-Oriented Software Engineering (OOSE). u Adopted as a standard by OMG and accepted by software community as primary notation for modeling objects and components. © Pearson Education Limited 1995, 2005

39. UML u Defined as “a standard language for specifying, constructing, visualizing, and documenting the artifacts of a software system”. u The UML does not prescribe any particular methodology, but instead is flexible and customizable to fit any approach and can be used in conjunction with a wide range of software lifecycles and development processes. © Pearson Education Limited 1995, 2005

40. UML – Design Goals u Provide ready-to-use, expressive visual modeling language so users can develop and exchange meaningful models. u Provide extensibility and specialization mechanisms to extend core concepts. u Be independent of particular programming languages and development processes. u Provide a formal basis for understanding the modeling language. u Encourage growth of object-oriented tools market. u Support higher-level development concepts such as collaborations, frameworks, patterns, and components. u Integrate best practices. © Pearson Education Limited 1995, 2005

41. UML - Diagrams u Structural: –class diagrams –object diagrams –component diagrams –deployment diagrams. u Behavioral: –use case diagrams –sequence diagrams –collaboration diagrams –statechart diagrams –activity diagrams. © Pearson Education Limited 1995, 2005

42. UML – Object Diagrams u Model instances of classes and used to describe system at a particular point in time. u Can be used to validate class diagram with “real world” data and record test cases. © Pearson Education Limited 1995, 2005

43. UML – Component Diagrams u Describe organization and dependencies among physical software components, such as source code, run-time (binary) code, and executables. © Pearson Education Limited 1995, 2005

44. UML – Deployment Diagrams u Depict configuration of run-time system, showing hardware nodes, components that run on these nodes, and connections between nodes. © Pearson Education Limited 1995, 2005

45. UML – Use Case Diagrams u Model functionality provided by system (use cases), users who interact with system (actors), and association between users and the functionality. u Used in requirements collection and analysis phase to represent high-level requirements of system. u More specifically, specifies a sequence of actions, including variants, that system can perform and that yields an observable result of value to a particular actor. © Pearson Education Limited 1995, 2005

46. UML – Use Case Diagrams © Pearson Education Limited 1995, 2005

47. UML – Use Case Diagrams © Pearson Education Limited 1995, 2005

48. UML – Sequence Diagrams u Model interactions between objects over time, capturing behavior of an individual use case. u Show the objects and the messages that are passed between these objects in the use case. © Pearson Education Limited 1995, 2005

49. UML – Sequence Diagrams © Pearson Education Limited 1995, 2005

50. UML – Collaboration Diagrams u Show interactions between objects as a series of sequenced messages. u Cross between an object diagram and a sequence diagram. u Unlike sequence diagram, which has column/row format, collaboration diagram uses free-form arrangement, which makes it easier to see all interactions involving a particular object. © Pearson Education Limited 1995, 2005

51. UML – Collaboration Diagrams © Pearson Education Limited 1995, 2005

52. UML – Statechart Diagrams u Show how objects can change in response to external events. u Usually model transitions of a specific object. © Pearson Education Limited 1995, 2005

53. UML – Activity Diagrams u Model flow of control from one activity to another. u Typically represent invocation of an operation, a step in a business process, or an entire business process. u Consist of activity states and transitions between them. © Pearson Education Limited 1995, 2005

54. UML – Activity Diagrams © Pearson Education Limited 1995, 2005

55. UML – Usage in Database Design Methodology u Produce use case diagrams from requirements specification or while producing requirements specification to depict main functions required of system. Can be augmented with use case descriptions. u Produce first cut class diagram (ER model). u Produce a sequence diagram for each use case or group of related use cases. u May be useful to add a control class to class diagram to represent interface between the actors and the system. © Pearson Education Limited 1995, 2005

56. UML – Usage in Database Design Methodology u Update class diagram to show required methods in each class. u Create state diagram for each class to show how class changes state in response to messages. Messages are identified from sequence diagrams. u Revise earlier diagrams based on new knowledge gained during this process. © Pearson Education Limited 1995, 2005