Chapter 1. Introduction to Databases, Environment & Architecture

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Transcription:

Chapter 1 Introduction to Databases, Environment & Architecture

Chapter 1 - Objectives Characteristics of file-based systems. Meaning of the term Database and DBMS. Functions & components of the DBMS. Advantages and disadvantages of DBMSs. Purpose of three-level database architecture. Purpose/importance of conceptual modeling. Meaning of client server architecture and Advantages of client server architecture for a DBMS.

File-Based Systems An early attempt to computerize the manual filing system. Collection of application programs that perform services for the end users (e.g. reports). Each program defines and manages its own data.

File-Based Processing

Limitations of File-Based Approach Separation and isolation of data Each program maintains its own set of data. Users of one program may be unaware of potentially useful data held by other programs. Duplication of data Same data is held by different programs. Wasted space and potentially different values and/or different formats for the same item.

Limitations of File-Based Approach Data dependence File structure is defined in the program code. Incompatible file formats Programs are written in different languages, and so cannot easily access each other s files. Fixed Queries/Proliferation of application programs Programs are written to satisfy particular functions. Any new requirement needs a new program.

Database Approach Arose because: Definition of data was embedded in application programs, rather than being stored separately and independently. No control over access and manipulation of data beyond that imposed by application programs. Result: The database and Database Management System (DBMS).

Database & DBMS A database is a shared collection of logically related data comprises entities, attributes, and relationships of an organization. System catalog (metadata) provides description of data to enable program data independence. A DBMS is a software system that enables users to define, create, maintain, and access the database.

Database Management System (DBMS)

Functions & Components of a DBMS Data Storage, Retrieval, and Update. A User-Accessible Catalog. Transaction Support. Concurrency Control Services. Recovery Services. Authorization Services. Support for Data Communication. Integrity Services. Services to Promote Data Independence. 10

Components of a DBMS 11

System Catalog One of the fundamental components of DBMS. Repository of information (metadata) describing the data in the database. Typically stores: names, types, and sizes of data items; constraints on the data; names of authorized users; data items accessible by a user and the type of access; usage statistics. 12

Advantages of DBMSs Control of data redundancy Data consistency Sharing of data Improved data integrity Improved security Enforcement of standards Economy of scale

Advantages of DBMSs Improved data accessibility and responsiveness Improved maintenance through data independence Increased concurrency Improved backup and recovery services Increased productivity

Disadvantages of DBMSs Complexity Size Cost of DBMS Additional hardware costs Cost of conversion Performance Higher impact of a failure

ANSI-SPARC Three-Level Architecture External Level Users view of the database. Describes that part of database that is relevant to a particular user. Conceptual Level Community view of the database. Describes what data is stored in database and relationships among the data. Internal Level Describes how the data is physically stored in the database. 16

ANSI-SPARC Architecture Three-Level 17

Objectives of Three-Level Architecture All users should be able to access same data. A user s view is immune to changes made in other views. Users should not need to know physical database storage details. 18

Differences between Three Levels of ANSI-SPARC Architecture 19

Data Independence Logical Data Independence Refers to immunity of external schemas to changes in conceptual schema. Conceptual schema changes (e.g. addition/removal of entities). 20

Data Independence Physical Data Independence Refers to immunity of conceptual schema to changes in the internal schema. Internal schema changes (e.g. using different file organizations, storage structures/devices). Should not require change to conceptual or external schemas. 21

Data Independence and the ANSI- SPARC Three-Level Architecture 22

Data Model Integrated collection of concepts for describing data, relationships between data, and constraints on the data in an organization. Data Model comprises: a structural part; a manipulative part; possibly a set of integrity rules. 23

Data Model Purpose To represent data in an understandable way. Categories of data models include: Object-based (ERD & Object Oriented) Record-based (Relational, Network, Hierarchical) Physical. 24

Relational Data Model 25

Network Data Model 26

Hierarchical Data Model 27

Multi-User DBMS Architectures Teleprocessing File-server Client-server 28

Teleprocessing Traditional architecture. Single mainframe with a number of terminals attached. Trend is now towards downsizing. 29

Traditional Two-Tier Client-Server Client (tier 1) manages user interface and runs applications. Server (tier 2) holds database and DBMS. Advantages include: wider access to existing databases; increased performance; possible reduction in hardware costs; reduction in communication costs; increased consistency. 30

Traditional Two-Tier Client-Server 31

Traditional Two-Tier Client-Server 32

Summary of client server functions

Three-Tier Client-Server Client side presented two problems preventing true scalability: Fat client, requiring considerable resources on client s computer to run effectively. Significant client side administration overhead. By 1995, three layers proposed, each potentially running on a different platform. 34

Three-Tier Client-Server Advantages: Thin client, requiring less expensive hardware. Application maintenance centralized. Easier to modify or replace one tier without affecting others. Separating business logic from database functions makes it easier to implement load balancing. Maps quite naturally to Web environment. 35

Three-Tier Client-Server 36