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Chapter 2 Database System Concepts and Architecture

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Data Models, Schemas, and Instances. Three-Schema Architecture. Database language and Interfaces ... database approach is that it provides some level of data ... – PowerPoint PPT presentation

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Title: Chapter 2 Database System Concepts and Architecture


1
Chapter 2 Database System Concepts and
Architecture
  • Dr. Bernard Chen Ph.D.
  • University of Central Arkansas
  • Fall 2008

2
Outline
  • Data Models, Schemas, and Instances
  • Three-Schema Architecture
  • Database language and Interfaces
  • The database system environment
  • Centralized and client/server architecture

3
Categories of data models
  • One fundamental characteristic of the database
    approach is that it provides some level of data
    abstraction
  • High-level or Conceptual data models
  • Provide concept that are close to the way many
    users perceive data
  • Low-level or Physical data model
  • Provide concepts that describe the details of how
    data is stored in the computer

4
Conceptual data models
  • It uses concepts such as entities, attributes and
    relationships.
  • Entity represents a real-world object or concept,
    such as employee or project
  • Attribute represents some property of interest
    that further describes an entity, such as
    employees name or salary
  • Relation among two or more entities represents an
    association among two or more entitles

5
Example of a Relation
6
Schemas and Database State
  • In any data model, it is important to distinguish
    between the description of the data and database
    itself
  • The description of the database is called the
    database schema
  • A displayed Schema is called a schema diagram

7
Database V.S. File
  • In the database approach, a single repository of
    data is maintained that is defined once then
    accessed by various users
  • The major differences between DB and File are
  • Self-describing of a DB
  • Insulation between programs and data
  • Support of multiple views of the data
  • Sharing of data and multiuser transaction
    processing

8
University Database
9
Example of a Database Schema
10
Schemas and Database State
  • The data in the database at a particular moment
    in time is called a database state
  • The distinction between database schema and
    database state is very important
  • When we define a new database, we specify its
    database schema only to the DBMS
  • At this point, the corresponding database state
    is the empty state with no data
  • We get the initial state of the database when the
    database is first loaded
  • From then on, every time an update operation is
    applied to the database, we get another database
    state

11
Schemas and Database State
  • Valid State a state that satisfies the structure
    and constrains specified in the schema.
  • The database schema changes very infrequently.
  • The database state changes every time the
    database is updated
  • Schema is also called intension.
  • State is also called extension.

12
Outline
  • Data Models, Schemas, and Instances
  • Three-Schema Architecture
  • Database language and Interfaces
  • The database system environment
  • Centralized and client/server architecture

13
Three-Schema Architecture
  • Three of four important characteristics of the
    database approach, listed in Ch.1 are
  • Self-describing of a DB (Schema)
  • Insulation between programs and data
  • Support of multiple views of the data
  • Three-Schema Architecture it was proposed to
    help achieve and visualize these characteristics

14
Three-Schema Architecture
  • Defines DBMS schemas at three levels
  • Internal schema at the internal level to describe
    physical storage structures and access paths (e.g
    indexes).
  • Conceptual schema at the conceptual level to
    describe the structure and constraints for the
    whole database for a community of users.
  • External schemas at the external level to
    describe the various user views.

15
The three-schema architecture
16
Outline
  • Data Models, Schemas, and Instances
  • Three-Schema Architecture
  • Database language and Interfaces
  • The database system environment
  • Centralized and client/server architecture

17
DBMS Languages
  • The first step to create a database through DBMS
    is to specify conceptual and internal schemas for
    the database
  • Data Definition Language (DDL) is used by
    database designers to define schemas
  • Data Manipulation Language (DML)
  • View Definition Language (VDL) is to specify
    user views
  • In current DBMS, the preceding types of languages
    are usually not considered distinct languages

18
DBMS Programming Language Interfaces
  • Programmer interfaces for embedding DML in a
    programming languages
  • Embedded Approach e.g embedded SQL (for C, C,
    etc.), SQLJ (for Java)
  • Procedure Call Approach e.g. JDBC for Java, ODBC
    (open DB connectivity) for other programming
    languages
  • Database Programming Language Approach e.g.
    ORACLE has PL/SQL, a programming language based
    on SQL language incorporates SQL and its data
    types as integral components

19
User-Friendly DBMS Interfaces
  • Menu-based, popular for browsing on the web
    (URSA)
  • Forms-based, designed for naïve users
  • Graphics-based
  • Natural language requests in written English
  • Combinations of the above

20
Outline
  • Data Models, Schemas, and Instances
  • Three-Schema Architecture
  • Database language and Interfaces
  • The database system environment
  • Centralized and client/server architecture

21
DBMS Component Modules
  • A DBMS is a complex software system
  • The figure showed in next slide is divide into
    two halves.
  • The top half refers to the various users of the
    database system
  • The lower half shows the internals of the DBMS
    responsible for storage of data and processing of
    transactions

22
Typical DBMS Component Modules
23
Outline
  • Data Models, Schemas, and Instances
  • Three-Schema Architecture
  • Database language and Interfaces
  • The database system environment
  • Centralized and client/server architecture

24
Centralized DBMS Architecture
  • A centralized DBMS in which all the DBMS
    functionality, application program execution, and
    user interface processing were carried out on a
    single machine

25
A Physical Centralized Architecture
26
Basic Client/Server Architectures
  • The client/server architecture was developed to
    deal with computer environment in which a large
    number of PCs, workstation, file server
  • A client in this framework is typically a user
    machine that provides user interface capabilities
    and local processing
  • A server is a system containing both hardware and
    software that can provide services to the client
    machines.

27
Logical two-tier client server architecture
28
Two-tier Architecture
  • This is called two-tire architectures because the
    software components are distributed over two
    systems client and server
  • The emergence of the Web changed the roles of
    client and server, leading to the three-tier
    architecture

29
Three-tier architecture
  • The intermediate layer or middle layer is
    sometimes called the application server or Web
    server
  • Three-tier Architecture Can Enhance Security
  • Database server only accessible via middle tier
  • Clients cannot directly access database server

30
Three-tier client-server architecture
31
Three-tier architecture
  • The presentation layer displays information to
    the user
  • The business logic layer handles intermediate
    rules and constrains before data is passed up to
    the user or down to the DBMS
  • If the bottom layer is split into two layers (a
    web server and a database server), then it is a
    4-tire architecture (possible to the n-tier)
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