this presentation provide a full explanation of object relational database management system. its a part of advanced database management system. important topic of computer science if you are UG/PG student or preparing for some competitive exam.
Object Relational Database Management System(ORDBMS)Rabin BK
The document discusses Object Relational Database Management Systems (ORDBMS). It defines an ORDBMS as a system that attempts to extend relational database systems with functionality to support a broader class of applications by providing a bridge between relational and object-oriented paradigms. This allows objects, classes and inheritance in database schemas and query languages. The document outlines some advantages of ORDBMS like reusability and preserving relational application knowledge, but also disadvantages like increased complexity. It also describes common OR operations like create, retrieve, update and delete objects, as well as Object-Relational Mapping (ORM) which converts data between incompatible type systems.
- An object-relational database (ORD) or object-relational database management system (ORDBMS) supports objects, classes, and inheritance directly in the database schema and query language, while also retaining the relational model.
- An ORDBMS supports an extended form of SQL called SQL3 for handling abstract data types. It allows storage of complex data types like images and location data.
- Key advantages of ORDBMS include reuse and sharing of code through inheritance, increased productivity for developers and users, and more powerful query capabilities. Key challenges include complexity, immaturity of the technology, and increased costs.
Object relational and extended relational databasesSuhad Jihad
This document discusses object-relational and extended relational databases. It begins with an introduction and agenda. It then covers database design for ORDBMS, including complex data types, structured types, type inheritance, and array/multiset types. It discusses creating and querying collection-valued attributes. Finally, it covers nesting and unnesting relations to transform between normalized and denormalized forms. The key topics covered in 3 sentences or less are: database design for ORDBMS supports objects, classes, and inheritance; structured types allow user-defined complex attributes; type inheritance and subtables allow modeling specialization hierarchies; and arrays and multisets allow modeling ordered and unordered collections as attributes.
Database systems that were based on the object data model were known originally as object-oriented databases (OODBs).These are mainly used for complex objects
The document discusses the relational data model and query languages. It provides the following key points:
1. The relational data model organizes data into tables with rows and columns, where rows represent records and columns represent attributes. Relations between data are represented through tables.
2. Relational integrity constraints include key constraints, domain constraints, and referential integrity constraints to ensure valid data.
3. Relational algebra and calculus provide theoretical foundations for query languages like SQL. Relational algebra uses operators like select, project, join on relations, while relational calculus specifies queries using logic.
The document discusses key concepts related to databases and database management systems. It defines a database as a collection of organized data and a database management system as a computer program that allows for creating, accessing, managing and controlling databases. It describes three common data models - relational, network and hierarchical - and explains some fundamental database concepts like tables, keys, relations and normalization.
This document provides an overview of data modeling, including definitions of key concepts like data models and data modeling. It describes the evolution of popular data models from hierarchical to network to relational to entity-relationship to object-oriented models. For each model, it outlines the basic concepts, advantages, and disadvantages. The document emphasizes that newer data models aimed to address shortcomings of previous approaches and capture real-world data and relationships.
Object Relational Database Management System(ORDBMS)Rabin BK
The document discusses Object Relational Database Management Systems (ORDBMS). It defines an ORDBMS as a system that attempts to extend relational database systems with functionality to support a broader class of applications by providing a bridge between relational and object-oriented paradigms. This allows objects, classes and inheritance in database schemas and query languages. The document outlines some advantages of ORDBMS like reusability and preserving relational application knowledge, but also disadvantages like increased complexity. It also describes common OR operations like create, retrieve, update and delete objects, as well as Object-Relational Mapping (ORM) which converts data between incompatible type systems.
- An object-relational database (ORD) or object-relational database management system (ORDBMS) supports objects, classes, and inheritance directly in the database schema and query language, while also retaining the relational model.
- An ORDBMS supports an extended form of SQL called SQL3 for handling abstract data types. It allows storage of complex data types like images and location data.
- Key advantages of ORDBMS include reuse and sharing of code through inheritance, increased productivity for developers and users, and more powerful query capabilities. Key challenges include complexity, immaturity of the technology, and increased costs.
Object relational and extended relational databasesSuhad Jihad
This document discusses object-relational and extended relational databases. It begins with an introduction and agenda. It then covers database design for ORDBMS, including complex data types, structured types, type inheritance, and array/multiset types. It discusses creating and querying collection-valued attributes. Finally, it covers nesting and unnesting relations to transform between normalized and denormalized forms. The key topics covered in 3 sentences or less are: database design for ORDBMS supports objects, classes, and inheritance; structured types allow user-defined complex attributes; type inheritance and subtables allow modeling specialization hierarchies; and arrays and multisets allow modeling ordered and unordered collections as attributes.
Database systems that were based on the object data model were known originally as object-oriented databases (OODBs).These are mainly used for complex objects
The document discusses the relational data model and query languages. It provides the following key points:
1. The relational data model organizes data into tables with rows and columns, where rows represent records and columns represent attributes. Relations between data are represented through tables.
2. Relational integrity constraints include key constraints, domain constraints, and referential integrity constraints to ensure valid data.
3. Relational algebra and calculus provide theoretical foundations for query languages like SQL. Relational algebra uses operators like select, project, join on relations, while relational calculus specifies queries using logic.
The document discusses key concepts related to databases and database management systems. It defines a database as a collection of organized data and a database management system as a computer program that allows for creating, accessing, managing and controlling databases. It describes three common data models - relational, network and hierarchical - and explains some fundamental database concepts like tables, keys, relations and normalization.
This document provides an overview of data modeling, including definitions of key concepts like data models and data modeling. It describes the evolution of popular data models from hierarchical to network to relational to entity-relationship to object-oriented models. For each model, it outlines the basic concepts, advantages, and disadvantages. The document emphasizes that newer data models aimed to address shortcomings of previous approaches and capture real-world data and relationships.
This document provides an overview of database management systems (DBMS). It defines what a database is and discusses the purpose of DBMS compared to traditional file systems. The document outlines several key DBMS concepts including data models, the relational model, and query languages like DDL, DML, DCL, and TCL. Examples are provided for each concept to illustrate database schemas, tables, queries, privileges and transactions.
This document discusses different types of database models including high-level, representation, and low-level models. It describes the entity-relationship model as a high-level model that focuses on entities, attributes, and relationships without representation concerns. The relational model and hierarchical model are presented as representation models that describe how data is physically structured and stored. Key aspects of each model like structure, terminology, advantages, and disadvantages are summarized.
The document discusses database management systems and their advantages over traditional file systems. It covers key concepts such as:
1) Databases organize data into tables with rows and columns to allow for easier querying and manipulation of data compared to file systems which store data in unstructured files.
2) Database management systems employ concepts like normalization, transactions, concurrency and security to maintain data integrity and consistency when multiple users are accessing the data simultaneously.
3) The logical design of a database is represented by its schema, while a database instance refers to the current state of the data stored in the database tables at a given time.
This document provides an overview of the object-oriented database model. It describes how the model was developed from the semantic data model in 1981. The key aspects of the object-oriented database model are that data and relationships are contained within objects, objects can inherit attributes and methods from parent classes, and classes are organized in a hierarchy. Unified Modeling Language class diagrams can be used to graphically represent the data relationships in an object-oriented system.
A database management system (DBMS) is software that allows for the creation, management, and use of databases. A DBMS provides users and administrators with various tools and applications to store, organize, and access data. It allows for data to be easily retrieved, filtered, sorted, and updated efficiently. Some key components of a DBMS include the database users, the data itself, software and procedures, hardware, and database access languages. DBMSs are widely used in applications such as banking, universities, e-commerce, and more.
A database is a collection of data that can be used alone or combined to answer users' questions. A database management system (DBMS) provides programs to manage databases, control data access, and include a query language. When designing a database, it is important to structure the data so that specific records can be easily accessed, the database can respond to different questions, minimal storage is used, and redundant data is avoided. Key concepts in database design include entities, attributes, records, primary keys, foreign keys, and relationships between tables.
Database Management System IntroductionSmriti Jain
The document discusses key concepts in databases including:
- Data refers to raw facts and details, while entities are things that data describes with attributes.
- A record combines all details of an entity, files group related records, and a database collects logically related files and records.
- A database management system (DBMS) enables users to define, create and maintain databases and provides flexible data management.
- DBMS benefits include centralized data control, consistency, sharing, and independence from applications.
This document provides an overview of data modeling concepts. It discusses the importance of data modeling, the basic building blocks of data models including entities, attributes, and relationships. It also covers different types of data models such as conceptual, logical, and physical models. The document discusses relational and non-relational data models as well as emerging models like object-oriented, XML, and big data models. Business rules and their role in database design are also summarized.
This document is from a textbook on database systems. It introduces fundamental concepts such as what a database is, the role of database management systems, and typical database functionality including defining schemas, loading data, querying, and concurrency control. It also discusses different types of database users and the advantages of the database approach such as data sharing and integrity enforcement. Examples of entity-relationship diagrams and database relations are provided to illustrate conceptual data modeling.
This document provides an overview of database management systems (DBMS). It discusses the history and components of DBMS, including how they were developed to address limitations of earlier file-based data management systems by providing data independence, efficient access, integrity, security, concurrent access and recovery from crashes. The document also covers DBMS concepts such as data definition and manipulation languages, database administration, types of users and databases, and advantages and disadvantages of DBMS.
This document discusses types and functions of distributed database management systems (DDBMS). There are two main types of DDBMS: homogeneous and heterogeneous. A homogeneous DDBMS uses similar software across sites, while a heterogeneous DDBMS uses different schemas and software. Basic functions of a DDBMS include data storage, security, multi-user access control, and data integrity. Additional functions are extended communication services, distributed query processing, extended concurrency control, and extended recovery services.
This document provides an overview of data warehousing concepts including dimensional modeling, online analytical processing (OLAP), and indexing techniques. It discusses the evolution of data warehousing, definitions of data warehouses, architectures, and common applications. Dimensional modeling concepts such as star schemas, snowflake schemas, and slowly changing dimensions are explained. The presentation concludes with references for further reading.
This document provides an overview and introduction to a lecture on database management systems (DBMS). It discusses how companies are increasingly data-driven and how this class will teach the basics of using and managing data. The lecture will cover the motivation for studying DBMS, an overview of the subject, and course logistics. The goal is for students to understand fundamental database concepts and be able to design, query, and build applications with databases.
This document provides an overview of database system concepts and architecture. It discusses data models, schemas, instances, and states. It also describes the three-schema architecture, data independence, DBMS languages and interfaces, database system utilities and tools, and centralized and client-server architectures. Key classification of DBMSs are also covered.
The document provides an overview of database systems, including their purpose, components, and architecture. It describes how database systems offer solutions to problems with using file systems to store data by providing data independence, concurrency control, recovery from failures, and more. It also defines key concepts like data models, data definition and manipulation languages, transactions, storage management, database users, administrators, and the roles they play in overall database system structure.
This document discusses database abstraction and users. It describes the three levels of abstraction in a database system according to the ANSI/SPARC standard: the external, conceptual, and internal levels. The external level includes user views, the conceptual level includes the overall database schema, and the internal level describes the physical storage structures. Mapping defines the correspondence between levels, and data independence means changes to lower levels do not affect higher levels. The document also lists different types of database users, including naive users, application programmers, sophisticated users, and the database administrator.
This document provides an introduction to object-oriented databases (OODBMS). It discusses key concepts like objects having an identity, structure and type constructor. An OODBMS allows for complex object structures, encapsulation of operations, inheritance and relationships between objects using object identifiers. It provides advantages over traditional databases for applications requiring complex data types and application-specific operations.
Database concepts and Archeticture Ch2 with in class ActivitiesZainab Almugbel
This is the slides of chapter 2 of the book Ramez Elmasri and Shamkant Navathe, "Fundamentals of Database Systems" 6th Edition, 2010
I did not include the activities in the slides. I printed them out in separate papers. Then, I asked students: who liked to participate in activity 1 (the interview) in the class. I selected 2 students for the first activity (one was the interviewer and another was the guest). I did the same for the other activities.
This document provides an overview of database management systems (DBMS). It defines what a database is and discusses the purpose of DBMS compared to traditional file systems. The document outlines several key DBMS concepts including data models, the relational model, and query languages like DDL, DML, DCL, and TCL. Examples are provided for each concept to illustrate database schemas, tables, queries, privileges and transactions.
This document discusses different types of database models including high-level, representation, and low-level models. It describes the entity-relationship model as a high-level model that focuses on entities, attributes, and relationships without representation concerns. The relational model and hierarchical model are presented as representation models that describe how data is physically structured and stored. Key aspects of each model like structure, terminology, advantages, and disadvantages are summarized.
The document discusses database management systems and their advantages over traditional file systems. It covers key concepts such as:
1) Databases organize data into tables with rows and columns to allow for easier querying and manipulation of data compared to file systems which store data in unstructured files.
2) Database management systems employ concepts like normalization, transactions, concurrency and security to maintain data integrity and consistency when multiple users are accessing the data simultaneously.
3) The logical design of a database is represented by its schema, while a database instance refers to the current state of the data stored in the database tables at a given time.
This document provides an overview of the object-oriented database model. It describes how the model was developed from the semantic data model in 1981. The key aspects of the object-oriented database model are that data and relationships are contained within objects, objects can inherit attributes and methods from parent classes, and classes are organized in a hierarchy. Unified Modeling Language class diagrams can be used to graphically represent the data relationships in an object-oriented system.
A database management system (DBMS) is software that allows for the creation, management, and use of databases. A DBMS provides users and administrators with various tools and applications to store, organize, and access data. It allows for data to be easily retrieved, filtered, sorted, and updated efficiently. Some key components of a DBMS include the database users, the data itself, software and procedures, hardware, and database access languages. DBMSs are widely used in applications such as banking, universities, e-commerce, and more.
A database is a collection of data that can be used alone or combined to answer users' questions. A database management system (DBMS) provides programs to manage databases, control data access, and include a query language. When designing a database, it is important to structure the data so that specific records can be easily accessed, the database can respond to different questions, minimal storage is used, and redundant data is avoided. Key concepts in database design include entities, attributes, records, primary keys, foreign keys, and relationships between tables.
Database Management System IntroductionSmriti Jain
The document discusses key concepts in databases including:
- Data refers to raw facts and details, while entities are things that data describes with attributes.
- A record combines all details of an entity, files group related records, and a database collects logically related files and records.
- A database management system (DBMS) enables users to define, create and maintain databases and provides flexible data management.
- DBMS benefits include centralized data control, consistency, sharing, and independence from applications.
This document provides an overview of data modeling concepts. It discusses the importance of data modeling, the basic building blocks of data models including entities, attributes, and relationships. It also covers different types of data models such as conceptual, logical, and physical models. The document discusses relational and non-relational data models as well as emerging models like object-oriented, XML, and big data models. Business rules and their role in database design are also summarized.
This document is from a textbook on database systems. It introduces fundamental concepts such as what a database is, the role of database management systems, and typical database functionality including defining schemas, loading data, querying, and concurrency control. It also discusses different types of database users and the advantages of the database approach such as data sharing and integrity enforcement. Examples of entity-relationship diagrams and database relations are provided to illustrate conceptual data modeling.
This document provides an overview of database management systems (DBMS). It discusses the history and components of DBMS, including how they were developed to address limitations of earlier file-based data management systems by providing data independence, efficient access, integrity, security, concurrent access and recovery from crashes. The document also covers DBMS concepts such as data definition and manipulation languages, database administration, types of users and databases, and advantages and disadvantages of DBMS.
This document discusses types and functions of distributed database management systems (DDBMS). There are two main types of DDBMS: homogeneous and heterogeneous. A homogeneous DDBMS uses similar software across sites, while a heterogeneous DDBMS uses different schemas and software. Basic functions of a DDBMS include data storage, security, multi-user access control, and data integrity. Additional functions are extended communication services, distributed query processing, extended concurrency control, and extended recovery services.
This document provides an overview of data warehousing concepts including dimensional modeling, online analytical processing (OLAP), and indexing techniques. It discusses the evolution of data warehousing, definitions of data warehouses, architectures, and common applications. Dimensional modeling concepts such as star schemas, snowflake schemas, and slowly changing dimensions are explained. The presentation concludes with references for further reading.
This document provides an overview and introduction to a lecture on database management systems (DBMS). It discusses how companies are increasingly data-driven and how this class will teach the basics of using and managing data. The lecture will cover the motivation for studying DBMS, an overview of the subject, and course logistics. The goal is for students to understand fundamental database concepts and be able to design, query, and build applications with databases.
This document provides an overview of database system concepts and architecture. It discusses data models, schemas, instances, and states. It also describes the three-schema architecture, data independence, DBMS languages and interfaces, database system utilities and tools, and centralized and client-server architectures. Key classification of DBMSs are also covered.
The document provides an overview of database systems, including their purpose, components, and architecture. It describes how database systems offer solutions to problems with using file systems to store data by providing data independence, concurrency control, recovery from failures, and more. It also defines key concepts like data models, data definition and manipulation languages, transactions, storage management, database users, administrators, and the roles they play in overall database system structure.
This document discusses database abstraction and users. It describes the three levels of abstraction in a database system according to the ANSI/SPARC standard: the external, conceptual, and internal levels. The external level includes user views, the conceptual level includes the overall database schema, and the internal level describes the physical storage structures. Mapping defines the correspondence between levels, and data independence means changes to lower levels do not affect higher levels. The document also lists different types of database users, including naive users, application programmers, sophisticated users, and the database administrator.
This document provides an introduction to object-oriented databases (OODBMS). It discusses key concepts like objects having an identity, structure and type constructor. An OODBMS allows for complex object structures, encapsulation of operations, inheritance and relationships between objects using object identifiers. It provides advantages over traditional databases for applications requiring complex data types and application-specific operations.
Database concepts and Archeticture Ch2 with in class ActivitiesZainab Almugbel
This is the slides of chapter 2 of the book Ramez Elmasri and Shamkant Navathe, "Fundamentals of Database Systems" 6th Edition, 2010
I did not include the activities in the slides. I printed them out in separate papers. Then, I asked students: who liked to participate in activity 1 (the interview) in the class. I selected 2 students for the first activity (one was the interviewer and another was the guest). I did the same for the other activities.
A database management system (DBMS) is system software that allows for the creation, management, and use of databases, making it easier to create, retrieve, update and manage large amounts of data in an organized manner. The document discusses the definition, importance, implementation, requirements, and challenges of a DBMS, as well as entity relationship diagrams, modeling, and security concepts related to databases. In conclusion, a DBMS is an effective system for systematic data management that is widely used around the world.
Database Management Systems allow for the creation, manipulation, and access of data through the use of a DBMS. A DBMS provides an environment to store interrelated data in a collection and provides programs to access the data in an efficient manner. Key aspects of a DBMS include defining the schema, specifying constraints on the data, and using SQL to query and manipulate the data.
Database Management Systems and SQL is a session that introduces DBMS concepts. It discusses what a DBMS is and common application areas such as banking, airlines, universities, and more. It also covers why we use DBMS to avoid data redundancy, access data easily, and ensure data integrity. The document then discusses relational models, database users, database administrators, transaction management, storage management, and overall system structure. It concludes with an introduction to SQL and relational algebra operations.
The document provides an introduction and overview of the Oracle ATG Commerce framework. It describes that ATG is an e-commerce software platform that provides solutions for merchandising, marketing, personalization and recommendations. It has a modular architecture built on a layered, component-based model. The key components of ATG include the Dynamo application framework, repositories for data access, droplets and form handlers for dynamic content, and tag libraries. ATG supports building scalable e-commerce applications through its flexible and reusable component model.
The document discusses object-relational persistence and different approaches for managing persistent data in object-oriented applications, including ORM. It describes the paradigm mismatch between object-oriented programming and relational databases, specifically problems around granularity, subtypes, identity, associations, and object graph navigation. ORM is presented as a solution that transforms data between object and relational representations using metadata to govern this transformation.
This document provides an introduction and overview of key concepts related to SQL Server databases including:
- The database engine and its role in storing, processing, and securing data
- System and user databases
- Database objects like tables, views, indexes, stored procedures
- Structured Query Language (SQL) and its sublanguages for data definition, manipulation, and transaction control
- Guidelines for writing SQL statements
- Creating and using databases along with creating tables and defining data types and constraints
This document discusses database system concepts and architecture. It covers data models and their categories, including conceptual, physical and implementation models. It describes the history of data models such as network, hierarchical, relational, object-oriented and object-relational models. It also discusses schemas, instances, states, the three-schema architecture, data independence, DBMS languages, interfaces, utilities, centralized and client-server architectures, and classifications of DBMSs.
This document provides an overview of key database concepts, including:
- Types of databases and database management systems (DBMS) functions
- Data models like relational, hierarchical, and object-oriented
- The three-schema architecture with conceptual, internal, and external schemas
- Languages used to define and manipulate database structures and data
- Centralized and client-server database system architectures
Oracle Database is a collection of data treated as a unit. The purpose of a database is to store and retrieve related information. Oracle Database was started in 1977 as Software Development Laboratories by Larry Ellison and others. Over time, Oracle released several major versions that added new functionality, such as Oracle 12c which was designed for cloud computing. A database server is the key to solving problems of information management by allowing storage, retrieval, and manipulation of data.
Databases are systems that contain objects used together to facilitate fast access to data. A data warehouse stores and provides already transformed and summarized data, making it suitable for decision support systems. Metadata is data about data that describes source data elements. Data mining refers to extracting hidden patterns from large databases.
Databases are systems that contain objects used together to facilitate fast access to data. A data warehouse stores and provides already transformed and summarized data, making it suitable for decision support systems. Metadata is data about data that describes source data elements. Data mining refers to extracting hidden patterns from large databases.
This document provides an overview of MongoDB including what MongoDB is, its advantages over SQL databases, different types of NoSQL databases, and basic CRUD operations in MongoDB using examples. Key points covered include MongoDB being a document-based and schema-less database, its advantages like scalability and flexibility with semi-structured data, the four main types of NoSQL databases, and examples of insert, find, update, and remove operations in MongoDB.
Oracle DBA Tutorial for Beginners -Oracle training institute in bangaloreTIB Academy
Get Oracle DBA Training through free Oracle DBA Tutorial, In this Oracle DBA Tutorial specially made for Beginners. You can download Oracle DBA Tutrial
This document provides an overview of relational database management systems (RDBMS). It defines key terms like data, database, DBMS, and discusses the disadvantages of file processing systems and advantages of DBMS. It explains concepts like data abstraction, database languages including DDL, DML, DCL. It also describes database schema and instance, data independence, and the overall architecture of a DBMS including components like the query processor and storage manager.
Database Management Systems and SQL SERVER.pptxsmg1723
This document provides an overview of database management systems (DBMS) and SQL. It defines what a DBMS is and explains that it provides an environment for conveniently and efficiently accessing and managing interrelated data. It then discusses common application areas for DBMS, why DBMS are used to avoid issues like data redundancy and access difficulties, and the relational data model. The document also covers database users, administrators, transaction management, storage management and system architecture. Finally, it introduces the SQL language and provides examples for defining schemas, creating tables, inserting data, and writing select queries.
This document discusses database concepts and architecture. It covers data models including conceptual, physical and implementation models. It discusses the history of relational, network and hierarchical data models. It also covers the three-level database architecture including the external, conceptual and internal schemas. The architecture supports logical and physical data independence. The document discusses database languages like DDL and DML and different database interfaces and systems.
Java Developers, make the database work for you (NLJUG JFall 2010)Lucas Jellema
The general consensus among Java developers has evolved from a dogmatic strive for database independence to a much more pragmatic wish to leverage the power of the database. This session demonstrates some of the (hidden) powers of the database and how these can be utilized from Java applications using either straight JDBC or working through JPA. The Oracle database is used as example: SQL for Aggregation and Analysis, Flashback Queries for historical comparison and trends, Virtual Private Database, complex validation, PL/SQL and collections for bulk data manipulation, view and instead-of triggers for data model morphing, server push of relevant data changes, edition based redefinition for release management.
- overview of role of database in JEE architecture (and a little history on how the database is perceived through the years)
- discussion on the development of database functionality
- demonstration of some powerful database features
- description of how we leveraged these features in our JSF (RichFaces)/JPA (Hibernate) application
- demo of web application based on these features
- discussion on how to approach the database
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2. Contents2
Introduction to ORDBMS
Object Relational Model
Current product scenario
Advantages and Disadvantages of ORDBMS
Difference Between RDBMS, OODBMS and ORDBMS
Illustra
SQL3
3. Introduction to ORDBMS
3
An object relational database is also called an object relational database
management system (ORDBMS).
An ORDBMS is object relational data base management system that
allows developers to integrate the database with their own custom data
types and methods.
Object information are converted into tables with rows & columns.
4. CONT…
4
This system simply puts an object oriented front end on a relational
database (RDBMS). When applications interface to this type of database, it
will normally interface as though the data is stored as objects.
It support object oriented capabilities to relational DBMS technology.
Its aim is achieving the functionality of object data management in their
unique way.
ORDBMS was created to handle new types of data such as audio, video,
and image files .
5. CONT…
5
This approach has its obvious advantages, especially for existing relational
applications and for their transition to an object oriented environment.
Therefore it is not necessary for programmers to write code to convert
between the two formats and database access is easy from an object oriented
computer language.
We use different technologies like open ODB , illustra etc.
PostgreSQL is the best known ORDBMS. Another examples are, Oracle DB,
Informix, SQL Server etc.
7. Current product scenario
7
Oracle:-
Oracle 9 ORDBMS is based on EJB (Enterprise Java Beans) 1.1
specification and aim to offer a scalable high performance execution
environment for EJBs.
Oracle also provides transaction interface and number of tools for
assistance in deployment of the EJB application
8. Cont…
8
IBM:-
IBM ventured in a big way into J2EE and EJB along with OODBMS
features of DB2 Universal Data Base(UDB).
It attempt to enhance the features and performance in the direction of
scalability, manageability, development productivity, integrated
information and business intelligence.
9. Advantages of ORDBMS
9
It allows organization to continue using their existing database systems,
without having to make major changes.
Point in time recovery of data is possible.
Built in complex SQL functions can be provided for data operations.
It allows user & programmers to start using object oriented system in
parallel.
ORDBMS ensures large storage capacity.
Support rich data types by adding a new object oriented layer.
10. Advantages of ORDBMS
10
Reusable & sharable
Scalability
Improved concurrency
Support for composite data types
Improved integrity
Data base extensibility
Uniform treatment of data items
11. Disadvantages of ORDBMS
11
Complexity.
Increased costs.
Supporters of relational approach believe simplicity and purity of
relational model are lost.
OO purists not attracted by extensions either.
12. Difference between RDBMS, OODBMS and
ORDBMS12
Criteria RDBMS OODBMS ORDBMS
Defining standard SQL2 ODMG 2.0 SQL3
Support for object
oriented feature
Does not support;
It is difficult to map
program object to the
database.
Support extensively Limited support, mostly
to new data type
Usage Easy to use Ok for programmer Easy to use except for
some extensions
Support for complex
relationship
Does not support
abstract data type
Supports a wide variety
of data types and data
with complex inter-
relationships
Supports abstract data
types and complex
relationships
13. Difference between RDBMS, OODBMS and
ORDBMS13
Criteria RDBMS OODBMS ORDBMS
Performance Very good performance Relatively less
performance
Expected to perform
good
Advantages Its dependence on SQL,
relatively simple query
optimization hence
good performance
It can handle all types of
complex applications,
reusability of code, less
coding
Ability to query complex
applications and ability
to handle large and
complex applications
Disadvantages Inability to handle
complex applications
Low performance due to
complex query
optimization, inability to
support large-scale
systems
Low performance in
web application
15. Illustra
15
Illustra was the latest ‘avtar of of the original POSTGRES’.
After several transient versions and names such as ‘Mira’ , ‘Montage’, a
final commercialized version, Illustra , hit the market in mid 90’s.
This include features inheritance, user defined types, functions,
operators, historical database features, large objects, etc.
Extended SQL with object oriented features is also supported.
Function can be written by users in C or SQL.
16. Object data model of illustra
16
Originally the SQL 92 relational standard was implemented in illustra
together with object extension for defining user defined data types and
function from the later SQL 3 standard committee activity.
These extensions included type and table hierarchies, multiple
inheritance, object identifier, function overloading etc.
The central theme of object extension of the relational model as
supported in illustra comprises adding user defined abstract data types
in addition to normal built-in type of SQL.
17. Example
17
a) Creating a base type(user defined) by a create statement is as follow:
Create type circle
(
internal length = 24
input = circle-in
output = circle-out
);
18. Example
18
b) Functions can be created by a ‘create function’ statement, which
registers a new function in the database , as follows:
Create function <function name> [<parameter list>]
returns <type name>
as <sql-statements>/external name
language {c} [not varient];
19. Example
19
c) To create a composite type, the user should specify the name and data types of the
new components.
Type ‘employee_t’ is defined as a subtype of type ‘person’ by using under
statement, manager is an additional column. Composite type cannot be used
recursively.
20. Example
20
d) Table (relations)can be created by ‘create table’ statement specifying
table(relation) name and column, the same as in a conventional relational
system as follows:
Create table Employees
(
name text,
company text
);
21. SQL3
21
SQL3 is the current version of the SQL with added extensions & features to support object
oriented database management.
Current SQL3 includes provision for
- User Defined Abstract Data Types (ADTs),
- Methods,
- Object identifiers,
- Subtypes & Inheritance
- Polymorphism
- Integration with External Languages.
Facility for control structures and parameterized types to make SQL3 computationally
complete for creating, managing & querying persistent objects.
22. User defined ADT’s in SQL3
22
In addition to the build-in data types, User Defined Abstract Data Types (ADTs) are
permitted in SQL3.
The values in columns in relational tables may be either user defined or build-in data types.
In an ADT definition, both attributes and operations are encapsulated as a single entity.
An ADT specification consists of
- ADT Name
- Stored Attribute
- Virtual / Derived Attributes
- Operations with equality and ordering relationship.
25. Properties of user defined ADT’s
25
•To access an attribute ‘A’ of an ADT instance ‘X’uses a special notation X.A
•There are 2 types of ADT attributes –
- Stored Attributes
- Virtual / Derived Attributes
•A Stored Attribute is specified by giving its name and data type.
•The data type can be known data type or another ADT.
•Each stored attribute declare a pair of functions to get & set the attribute value.
26. Properties of user defined ADT’s
26
• A Virtual Attribute has a value that is derived or computed by get-attribute
function specified using GET declaration.
• Virtual attribute can be UPDATABLE, READ ONLY, CONSTANT.
• Value of UPDATBLE attributes can be changed through set-attribute function.
• READ ONLY attribute can not be changed.
• CONSTANT attribute can be assigned value only at instance creation.
27. Properties of user defined ADT’s
27
• Routines (Procedures & functions) if are defined within the ADT
definition have access to ADT’s PRIVATE attributes.
• Routines may also be defined outside the ADT definition.
For example – constructor function.
• Special routines like CAST functions are defined to map an ADT to other
existing data types.
For example – an IMAGE ADT may be CAST to a BIT STRING
TYPE representation.
28. Properties of user defined ADT’s
28
• ADTs can be defined as
- Data type of columns in tables,
- Parameters in procedures and functions,
- Attributes in other ADT definition,
- Variables in Compound SQL statements.
• To store an ADT instance persistently in the database, it is to be stored as the column value
of a table.
For example –
CRATE TABLE persons
(person-data person-type instance );
29. Queries with user defined ADT’s
29
ADTs can be defined as
- Data type of columns in tables,
- For example –
CRATE TABLE emp
( person-data person-type,
manager person-type,
spouce person-type INSTANCE,
….
);
Query to find the names of people older than 40
SELECT name (e.person-data)
FROM emp e
WHERE age (e.person-data) >40;
30. Routines
30
• A routine in SQL is basically a subprogram either a FUNCTION, which returns a value, or
a PROCEDURE, which does not return a value.
• A FUNCTION may be either an ACTOR or a DESTRUCTOR.
• A DESTRUCTOR function destroys ADT instances.
• An ACTOR function is any other function that reads or updates components of an ADT
instance.
31. Routine specification
31
A routine is specified by giving its name, its parameters, a RETURNS clause
and a body.
The RETURNS clause specifies the data type of the result returned.
A routine may be either an SQL routine or an external routine.
Body of SQL routine is written in SQL.
An external routine has an externally provided body written in some standard
programming language.
Different routines may have same name. This is referred to as overloading.
The parameter lists of such routines must be different to identify.
32. Routine specification
32
• Example of external routine:
EXTERNAL NAME <external function name>
LANGUAGE <language name>
[NOT] VARIENT
• A VARIENT routine return different result when called multiple time even
with same arguments.
33. Questions
33
What is ORDBMS ? Explain.
What is the advantages and disadvantages of ORDBMS?
Explain the design and architecture of POSTGRES DBMS.
Discus iterative queries ,alters and rules in POSTGRES.
Explain extended relational model approach how it is differ from
semantic model approach?
With an example explain the object data model of illustra.
Write a short note on SQL3
What are the user defined ADT in SQL3? What are the routines in
SQL3?