Dbms ii mca-ch1-ch2-intro-datamodel-2013

Data Base Management System
[DBMS]
Chapter 1
Unit I
Aruna (DSCASC) 1

Introduction
A Database Management System (DBMS) is a collection of
programs or software package that enables users to create and
maintain a database.
Defining a database involves specifying
the data types, structures, and constraints of the data to be stored in
the database.
*
*
Aruna (DSCASC) 2

File Management Systems
• Uncontrolled Redundancy
• Inconsistent data
• Limited data sharing
• Difficulty in accessing data
• Security problems
• Huge data storage problem
• Excessive program maintenance
• Excessive data maintenance
Aruna (DSCASC)
Drawbacks
3

File Processing Systems
Aruna (DSCASC) 4
Duplicate
Data

– Data redundancy and inconsistency
• Redundancy: Duplication of information in different files.
(the same data are stored in many different locations is known as Data
Redundancy.)
• Inconsistency: Same data with different formats (this happen because the
update are not properly done at all places.)
– Integrity problems
• Data integrity is the assurance that data is correct and consistent--that the data
correctly reflects the "real" world.
• Integrity constraints (e.g. account balance > 0)
• Hard to add new constraints or change existing ones.
– Atomicity of updates
• Failures may leave database in an inconsistent state with partial updates carried
out.
Example: Transfer of funds from one account to another should either complete or
not happen at all.
Disadvantages of File Processing
Aruna (DSCASC) 5

– Difficulty in accessing data
• Need to write a new program to carry out each new task.
– Concurrent access by multiple users
• Uncontrolled concurrent accesses can lead to inconsistencies.
• Example: Two people use the data and updating it at the same time.
– Security problems
• Hard to provide user access to some, but not all, data.
Disadvantages of File Processing (Cont.,)
Aruna (DSCASC) 6

• Data: Meaningful facts, text, graphics, images, sound, video segments.
• Database: An organized collection of logically related data.
• Information: Data processed to be useful in decision making.
• Metadata: Data that describes data.
[The database definition or descriptive information is also stored by the DBMS
in the form of a database catalog or dictionary; it is called meta-data]
• Database Management System (DBMS): A software package/ system to facilitate
the creation and maintenance of a computerized database.
(OR) a collection of programs and tools to create & maintain a database.
• Database System: The DBMS software together with the data itself.
Sometimes, the applications are also included.
Definition
DBMS
Aruna (DSCASC) 7

• Define a database: In terms of data types, structures and constraints.
Construct or Load the Database on a secondary storage medium.
• Manipulating the database : Query, generating reports, insertions, deletions and
modifications to its content.
• Concurrent Processing and Sharing by a set of users and programs – yet, keeping all
data valid and consistent.
• Protection or Security measures to prevent unauthorized access.
Typical DBMS Functionality
Aruna (DSCASC) 8

Database system Environment
Users/Programmers
Application Programs/Queries
Software to Process Queries / Programs
Software to Access Stored Data
DBMS Software
Database System
Stored Database
Definition
(Metadata)
Stored
Database
Aruna (DSCASC) 9

DBMS manages data
resources like an operating
system manages hardware
resources
DBMSDBMS Database
containing
centralized
shared data
Application
#1
Application
#2
Application
#3
Database Management System
Aruna (DSCASC) 10

Database Management System Approach
• Controlled Redundancy
– consistency of data &
integrity constraints
• Integration of data
– self-contained &
represents semantics
of application
• Data and operation
sharing
– multiple interfaces
• Services & Controls
– security & privacy
controls
– backup & recovery
– enforcement of
standards
• Flexibility
– data independence
– data accessibility
– reduced program
maintenance
• Ease of application
development
Aruna (DSCASC) 11

What is a Database Management System?
A collection of programs and tools to create and maintain a Database.
• Defining: Specifying types of data
• Constructing: Storing
• Manipulating: Querying, Updating, Reporting
Aruna (DSCASC) 12

Example of Database
UNIVERSITY DATABASE
• Information about students, courses, and grades in a university are
gathered.
• To construct the UNIVERSITY database, we store data to represent each
student, course, section, grade report, and prerequisite as a record in the
appropriate file.
• To define the database, we must specify the structure (metadata) of the
records of each file by specifying the different types of data elements to
be stored in each record.
Aruna (DSCASC) 13

Description: Properties or characteristics of the data, including data
types, field sizes, allowable values, and documentation
Metadata
Name Type Length Min Max Description
Name Alphanumeric 30 Student
Name
Student
Number
Integer 1 1 9 Student No
Class Alphanumeric 15 Class
Major Alphanumeric 15 Major
STUDENT
Aruna (DSCASC) 14

A database that stores student and course information
Name Student_number Class Major
Smith 17 1 CS
Brown 8 2 CS
1) STUDENT
Course_name Course_number Credit_hours Department
Intro to Computer Science CS1310 4 CS
Data Structures CS3320 4 CS
Discrete Mathematics MATH2410 3 MATH
Database CS3380 3 CS
2) COURSE
Course_number Prerequisite_number
CS3380 CS3320
CS3380 MATH2410
CS3320 CS1310
3) PREREQUISITE
15

A database that stores student and course information (Cont---)
Section_identifier Course_number Semester Year Instructor
85 MATH2410 Fall 07 King
92 CS1310 Fall 07 Anderson
102 CS3320 Spring 08 Knuth
112 MATH2410 Fall 08 Chang
119 CS1310 Fall 08 Anderson
135 CS3380 Fall 08 Stone
4) SECTION
5) GRADE_REPORT
Student_number Section_identifier Grade
17 112 B
17 119 C
8 85 A
8 92 A
8 102 B
8 135 A
16

Applications of Database System
• Banking
• Airlines
• University
• Railways
• Finance
• Sales
• Telecommunication
• Pay roll system
• Manufacturing
Aruna (DSCASC) 17

Characteristics of the Database Approach
• In file processing, each user defines and implements the files needed for a specific
software application as part of programming the application.
For example:
• One department, the grade reporting office, may keep files on students and their grades.
• A second department, the accounting office, may keep track of students fees and their
payments.
• Third department, library, keeps track of students details and borrowing of books.
Aruna (DSCASC) 18

• All these departments are interested in data about students, each
department maintains separate files— and programs to manipulate these
files.
• In file processing, redundancy of data and storing data results in wasted
storage space.
• In the database approach, a single repository maintains data that is
defined once and then accessed by various users.
Aruna (DSCASC) 19

– Self-describing nature of a database system.
– Insulation between programs and data, and data abstraction.
– Support of multiple views of the data.
– Sharing of data and multiuser transaction processing.
Aruna (DSCASC) 20

1) Self-describing nature of a database system:
* The database system contains not only the database itself but also a complete
definition or description of the database structure and constraints.
* A DBMS catalog stores the description or definition of the database.
( i.e., it contains information such as the structure of each file, the type and
storage format of each data item, and various constraints on the data)
* The description stored in the catalog is called meta-data.
* The Software or programs must work equally well with any number of database
applications as long as the database definition is stored in the catalog.
* It can access the database by extracting the DB definitions from the catalog and then
using these definitions.
Aruna (DSCASC) 21

2) Insulation between programs and data:
• In file processing, the structure of data files is embedded in the application programs,
so any changes to the structure of a file may require changing all programs that
access that file.
• In DBMS access programs do not require such changes in most cases.
• The structure of data files is stored in the DBMS catalog separately from the access
programs.
• We call this property program-data independence.
• The characteristic that allows program-data independence and program-operation
independence is called data abstraction. (OR A data model is used to hide storage
details and present the users with a conceptual view of the database.)
Aruna (DSCASC) 22

3) Support of multiple views of the data:
Each user may see a different view of the database, which describes only
the data of interest to that user.
4) Sharing of data and multi-user transaction processing :
Allowing a set of concurrent users to retrieve and to update the
database.
Concurrency control within the DBMS guarantees that each transaction is
correctly executed or completely aborted.
Example: Airlines Reservation
• These types of applications are generally called online transaction processing
(OLTP) applications.
Aruna (DSCASC) 23

Users may be divided into –
“Actors on the scene” - Those who actually use and control the
content.
“Workers behind the scene” - Those who enable the database to be
developed and the DBMS software to be designed and implemented.
Database Users
Aruna (DSCASC) 24

– Database administrators (DBA):
Responsible for authorizing access to the database, for
co-coordinating and monitoring its use, acquiring software, and hardware
resources, controlling its use and monitoring efficiency of operations.
Functions of DBA:
» Defining the conceptual schema.
» Defining the physical schema.
» Defining the security and Integrity constraints.
» Defining Backup and Recovery procedures.
» Storage structures and access methods definition.
» Granting of authorization for data access.
Actors on the scene
Aruna (DSCASC) 25

– Database Designers:
Responsible to define the content, the structure, the
constraints, and functions or transactions against the database.
They must communicate with the end-users and understand their needs.
– End-users:
They use the data for queries, reports and some of them actually
update the database content.
Actors on the scene
Aruna (DSCASC) 26

Different types of end users:
1) Casual: Access database occasionally when needed
2) Naïve or Parametric: They make up a large section of the end-user population.
They use previously well-defined functions in the form of “canned transactions” (using
Queries and Updates) against the database.
OR
Users who interact with the system by using the application programs that
have previously written, they are unsophisticated users.
Examples A bank-tellers or reservation clerks who do this activity for an entire shift of
operations.
Categories of End-users
Aruna (DSCASC) 27

Sophisticated:
- These include business analysts, scientists, engineers, others thoroughly familiar
with the system capabilities.
- Many use tools in the form of software packages that work closely with the stored
database.
- This users interact with the system without writing programs. Instead they form
their database query.
Stand-alone:
Mostly maintain personal databases using ready-to-use packaged applications. An
example is a tax program user that creates his or her own internal database
Categories of End-users
Aruna (DSCASC) 28

• DBMS System Designers & Implementers:
Persons who design and implement the DBMS modules & interface
as a software package.
• Tool Developers:
Person who design and implement tools .
They are optional packages.
Packages for:
* DB design.
* Performance tuning / monitoring.
* Graphical Interfaces.
* Simulation.
*Test data generation.
• Operators and Maintenance Personnel:
The System Administrator personnel who are responsible for the
actual running and maintenance of the hardware and software
environment for the database system.
Workers behind the Scene
Aruna (DSCASC) 29

• Program-Data Independence
– Metadata or definition is stored in the Data Dictionary or System catalog , so
applications don’t need to worry about data formats.
– Data queries/updates managed by DBMS so programs don’t need to process data
access routines.
• Minimal Data Redundancy
– Leads to increased data integrity/consistency.
• Improved Data Sharing
– Different users get different views of the data.
• Enforcement of Standards
– All data access is done in the same way.
Advantages of Database Approach
Aruna (DSCASC) 31

• Improved Data Quality
– Constraints, data validation rules.
• Better Data Accessibility/ Responsiveness
– Use of standard data query language (SQL)
• Security, Backup/Recovery, Concurrency
– Restricting unauthorized access
– Disaster recovery is easier
The recovery system should see that the database is restored back to its
initial state (ie., The stage before starting the execution). The system must
provide automatic backup facilities in order to avoid power failure problem.
Advantages of Database Approach (Cont.,)
Aruna (DSCASC) 32

Historical Development of Database Technology
• Early Database Applications:
– The Hierarchical and Network Models were introduced in mid 1960s and
dominated during the seventies.
– A bulk of the worldwide database processing still occurs using these models,
particularly, the hierarchical model.
• Relational Model based Systems:
– Relational model was originally introduced in 1970, was heavily researched and
experimented within IBM Research and several universities.
– Relational DBMS Products emerged in the early 1980s.
Aruna (DSCASC) 33

(cont.,)
• Object-oriented and emerging applications:
– Object-Oriented Database Management Systems (OODBMSs) were introduced
in late 1980s and early 1990s to cater to the need of complex data processing
in CAD and other applications.
• Their use has not taken off much.
– Many relational DBMSs have incorporated object database concepts, leading to
a new category called object-relational DBMSs (ORDBMSs)
– Extended relational systems add further capabilities (e.g. for multimedia data,
XML, and other data types)
Aruna (DSCASC) 34

(cont.,)
• Data on the Web and E-commerce Applications:
– Web contains data in HTML (Hypertext markup language) with links among
pages.
– This has given rise to a new set of applications and E-commerce is using new
standards like XML (eXtended Markup Language).
– Script programming languages such as PHP and JavaScript allow generation of
dynamic Web pages that are partially generated from a database
• Also allow database updates through Web pages.
Aruna (DSCASC) 35

When not to use a DBMS
• Main inhibitors (costs) of using a DBMS:
– High initial investment and possible need for additional hardware.
– Overhead for providing generality, security, concurrency control, recovery, and
integrity functions.
• When a DBMS may be unnecessary:
– If the database and applications are simple, well defined, and not expected to
change.
– If there are stringent real-time requirements that may not be met because of
DBMS overhead.
– If access to data by multiple users is not required.
Aruna (DSCASC) 38

When not to use a DBMS
• When no DBMS may suffice:
– If the database system is not able to handle the complexity of data because of
modeling limitations
– If the database users need special operations not supported by the DBMS.
Aruna (DSCASC) 39

Database System Concepts
and Architecture
Data Models
Chapter 2
Aruna (DSCASC) 40

Data Models, Schemas, and Instances
• A data model—a collection of concepts that can be used to describe the
structure of a database.
OR
Data Model is important to distinguish between the description of the
database and the data itself.
• Structure of a database means the data types, relationships, and
constraints that apply to the data.
• A data models also include a set of basic operations for specifying retrievals
and updates on the database.
Aruna (DSCASC) 41

43
– Conceptual data models (High-level, semantic)
– Physical data models (Low-level, internal)
– Implementation data models (Representational)
Categories of data models
Aruna (DSCASC)

Aruna (DSCASC) 44
1) Conceptual data models (high-level, semantic):
• Provide concepts that are close to the way many users perceive (recognize)
data.
(Also called Entity-Relational or object-based data models.)
• Conceptual data models use concepts such as entities, attributes, and
relationships.
• An entity represents a real world object or concept such as employee or a
project.
• An attribute represents some property.
• A relationship among two or more entities .

2) Physical data models (low-level, internal):
• Physical data models describes how data is stored in the computer by
representing information such as record formats, record orderings and
access path.
• An access path is a structure that makes the search for particular database
records efficient.
• Meant for computer specialists not for end users.
• An access path is a structure that makes the search for particular database
records.
Aruna (DSCASC) 45
Categories of data models (cont.,)

3) Implementation (representational) data models:
• Provide concepts that fall between the above two, balancing user views with
some computer storage details.
• Network and hierarchical models are used .
• Representational data model represents data by using record structures and
hence are sometimes called record based data models.
46
Aruna (DSCASC)

47
History of Data Models
• Network Model
• Hierarchical Model
• Entity – Relationship Model
• Relational Model
• Object-Oriented Model
• Object-Relational Model
Aruna (DSCASC)

• Entity –Relationship Model
The E-R data model is based on real world that consists of a collection of basic
objects called entities and relationship among the objects.
– Entities are specific objects or things in the world that are represented in
the database.
Example: specific person, company, student, event.
– Attributes are properties used to describe an entity.
Example: an EMPLOYEE entity may have a Name, SSN, Address, Designation,
Salary.
48
Data Models
Aruna (DSCASC)

49
Data Models
Entity – Relationship Model
Aruna (DSCASC)

50
Data Models
1) Relational Model:
- It represents a database as a collection of tables (Where each table can be stored
as a separate file, each of which has a number of columns with unique names).
- A table is a collection of rows and columns. Each column has a unique name.
- Each row is called a tuple, a column header as attributes, the table as relation.
Example:
NAME LOCATION CITY PHONE NO. ACCOUNT No.
ANAND KORAMANGALA BANGALORE 534278 401
VIKRAM AUDOGODI BANGALORE 546678 402
ACCOUNT NO. BALANCE
401 10000
402 5000

Advantage & Disadvantage of Relational model
Advantages:
• Simplicity: A relational data model is simple than hierarchical and
network model.
• Structure independence: This model does not depend on the
navigational data access system.
Disadvantages:
Hardware overheads: This model needs more powerful computing hardware
and data storage devices to perform RDBMS assigned task
Aruna (DSCASC) 51

52
Data Models
2) Network Model:
Data is represented as a collection of records and relationship between
data is represented by links which can be viewed as pointers. The record in
the database are organized as collection of arbitrary graphs.
Example:
Publisher
Book
Author
Book Branch Branch
Network database
structure
Network database modelAruna (DSCASC)

Advantages
• Simplicity: Similar to hierarchical data model, network model is also simple and easy to
design.
• Superior data access: The data access and flexibility is superior to that is found in the
hierarchical data model.
• Database integrity: Network model enforces database integrity.
• Data independence: This model allows sufficient data independence.
Disadvantages
• System complexity: Navigation the data in this model is complex.
• Not a user friendly: Highly skill oriented because use of pointers leads to complex
structure, which makes mapping of related data very difficult.
53
Advantage & Disadvantage of Network model
Aruna (DSCASC)

54
Data Models
3) Hierarchical Data Model:
It is different from network model in the way that records are organized into a
tree like structure.
For eg. An organization might store information about an employee, such as name,
dep, sal. The organization might also store information about employee’s family.
The employee and the family data forms hierarchy.
Example:
DEPT
F1 F3 F4F2
SD1 SD2 SD3 SD4
F – Faculty
S - Student
Aruna (DSCASC)

Advantages
• Simplicity: The relationship between various layers is logically simple and design of a
hierarchical database is simple .
• Data sharing
• Data Security
• Data Integrity: Relationship between parent and child
• Data Independence
Disadvantages
• Implementation limitation: Many of the common relationships do not confirm to the
one-to-many relationship format.
• Inflexibility: The change in the new relations or segments often yield very complex
system management tasks.
55
Advantage & Disadvantage of Hierarchical model
Aruna (DSCASC)

56
Data Models
4) Object Oriented Data Model:
It defines the database in terms of objects, their properties and their operations.
Objects with some structure and behavior.
• Support the basic elements of the object approach used in object oriented programming
languages like inheritance, use of methods, and encapsulation.
• Some object-oriented databases are designed to work well with object oriented
programming languages such as Java, C++, C# etc.
• OODBMS use exactly the same model as object-oriented programming languages.
Methods
Class
Operations of each class in
terms of predefined procedure.
Aruna (DSCASC)

Example:
class employee
{
string name;
string address;
int salary;
int annual salary();
};
Advantages:
• Improved data access.
• Improved productivity: Features like inheritance, polymorphism that allow the users
to compose objects and provide solutions without writing object specific code.
Disadvantage:
• Difficult to maintain.
• Not suited for all applications.
• Hardware overheads.
57
Aruna (DSCASC)

58
Data Models
5) Object Relation Data Model:
This model combines features of relational and object oriented model.
This model provides the rich types system of object-oriented databases, combines
with relations as the basis for storage of data.
Object-Relational database systems provide a smooth migration path for users of
relational databases who wish to use object oriented features.
For egFor eg: The data type of "location" is "geographic point" and "picture" is "image".: The data type of "location" is "geographic point" and "picture" is "image".
Aruna (DSCASC)

59
Schema:
• In any data model, it is important to distinguish between the description of the database
and the database itself.
The description of a database is called Database Schema.
(or) Logical structure of the database.
* A schema is an outline or a plan that describes the records and relationships
existing in the view.
* A displayed schema is called a schema diagram.
* Systematic plan for attaining some goal.
* Schema is specified during the DB design and not expected to change frequently.
* The data in the DB at a particular moment in time is called a DB state or snapshot.
It is also called the current set of occurrences or instances in the DB.
Schemas, Instances & Database States

Aruna (DSCASC) 60
Example: The database consists of information about a set of customers
and accounts and the relationship between them.
• Schema diagram - Diagrammatic representation of the schema is known
as schema diagram
Schemas, Instances & Database States

Aruna (DSCASC) 61
Schema diagram
REGNO NAME COURSENO SECTIONID
STUDENT
COURSE
COURSENO COURSENAME CREDITHOURS DEPARTMENT
SECTION
SECTIONID COURSENO SEMESTER YEAR FACULTY
REGNO SECTIONID GRADE
GRADE REPORT
A schema diagram does not displays all aspects of a database structure.

Aruna (DSCASC) 63
Instance:
The actual content (data) of the database at a particular point of time is called
instance or database state.
• In a given database state each schema construct has its own current set of instance.
• Every time we insert or delete a record or change the value of a data we change one
state of the database into another state.
• Three types of states Empty state, Initial State, Current State.
Empty State - When we define a new database.
Initial State – When the database is first loaded with initial data.
Current State - When an update operation is applied to the database.
Instances and Schemas

Aruna (DSCASC) 64
Instance of Students Relation (Example)
Students ( sid: string, name: string, login: string,
age: integer, gpa: real )
Instance:
sid name login age gpa
53666 Jones jones@cs 18 3.4
53688 Smith smith@ee 18 3.2
53650 Smith smith@math19 3.8

Aruna (DSCASC) 65
The goal of the three-schema architecture is to separate the user applications from
the physical database.
Defines DBMS schemas at three levels:
• Internal schema at the internal level to describe physical storage structures and
access paths. Typically uses a physical data model.
(Physical schema describes the files and indexes used.)
• Conceptual schema at the conceptual level to describe the structure and constraints
for the whole database for a community of users. Uses a conceptual or an
implementation data model.
(Conceptual schema defines logical structure.)
• External schema at the external level or (View Level) to describe the various user
views. Usually uses the same data model as the conceptual level.
(External schema describe how users see the data.)
Three-Schema Architecture

66
External Level
(describe the various
user views)
Conceptual Level
(describe the structure and
constraints for the whole
database)
Internal Level
(physical storage
structures and access
paths)
END USERS
External View
External View
Conceptual Schema
Internal Schema
Stored Database
. . .

Aruna (DSCASC) 67
Example:
Customer Name
Customer Address
Customer Name
Customer Address
Customer SSN
Customer Name: String
Customer Address: String
Customer SSN: Number (PK)
Name: String length 25
Address: String length 40
SSN: Number length 10
Conceptual View
Internal View
External
View
Logical Record 1 Logical Record n
Customer SSN
--------------

Aruna (DSCASC) 68
Data Independence:
It is the capacity to change the schema at one level of database
system without having to change the schema at the next higher level.
Two types of Data Independence:
» Logical Data Independence
» Physical Data Independence
Data Independence

Types of Data Independence
• Logical Data Independence :
The ability to modify or change the conceptual (logical) schema
without changing the external scheme or application programs to be
rewritten.
* Modifications are necessary whenever the logical structure of the
database is altered.
* The change in conceptual database may be expanding the database by
adding a new data field or reducing the database by deleting fields.
Aruna (DSCASC) 69

Aruna (DSCASC) 70
• Physical Data Independence:
The ability to modify or change the internal (physical) schema without changing
the Conceptual (logical) schema.
* Modifications are necessary in this level to improve the performance.
* Changes to the internal schema is needed because some physical file had to be
reorganized, such as changing the access modes or paths for better retrieval or
updates.
Types of Data Independence

Aruna (DSCASC) 71
Data independence is accomplished when the schema is changed at
some level, the schema at the next higher level remains unchanged.
Applications heavily depend on the Conceptual (logical) schema, so
logical data independence is difficult to achieve.
In general, the interfaces between the various levels and components should
be well defined so that changes in some parts do not seriously influence
others.
Data Independence

Database Languages
Once the design of a database is completed and a DBMS is chosen to implement
the database, the first step is to specify conceptual and internal schemas for the
database and any mappings between the two.
• Data Definition Language (DDL):
It is used by the DBA and database designers to specify the conceptual schema
of a database.
In many DBMS, the DDL is also used to define internal and external schemas
(views).
In some DBMS, separate storage definition language (SDL) and view definition
language (VDL) are used to define internal and external schemas.
Aruna (DSCASC) 72

• Data Manipulation Language (DML):
• It is used to specify database retrievals and updates.
• Stand-alone DML commands can be applied directly (query language).
• High Level or Non-procedural Languages: e.g., SQL, are set-oriented and specify what
data to retrieve than how to retrieve. Also called declarative languages.
• Low Level or Procedural Languages: record-at-a-time; they specify how to retrieve
data and include constructs such as looping.
Aruna (DSCASC) 73
Database Languages

DBMS Interfaces
• User-friendly interfaces:
• Menu-based, popular for browsing on the web
• Forms-based, designed for naïve users
• Graphics-based (Point and Click, Drag and Drop etc.)
• Natural language: requests in written English
• Combinations of the above
Aruna (DSCASC) 74

Other DBMS Interfaces
• Speech Input and Output
• Web Browser as an interface
• Parametric interfaces (e.g., bank tellers) using function keys.
• Interfaces for the DBA:
• Creating accounts, granting authorizations
• Setting system parameters
• Changing schemas or access path

DBMS Environment
The top part of the figure refers to the various users of the
database environment and their interfaces.
The lower part shows the internals of the DBMS responsible
for storage of data and processing of transactions.

DBMS Component Modules
• Top part of the figure shows interfaces for the DBA staff:
casual users who work with interactive interfaces to formulate queries,
application programmers who create programs using some host programming
languages.
parametric users who do data entry work by supplying parameters to predefined
transactions.
• The DBA staff works on defining the database and tuning it by making changes to its
definition using the DDL and other privileged commands.
Aruna (DSCASC) 77

79
DBMS Environment
• Database and the DBMS catalog are usually stored on disk.
• DDL Compiler: processes schema definitions specified in the DDL & stores descriptions
of the schemas in the catalog.
• System Catalog: Includes info such as names, size of files, names and data type of data
items, storage details, constraints.
• Run time DB processor: handles database accesses at runtime. It receives retrieval or
update operations an carries them out on the DB.
• Stored data Manager: Controls access to DBMS information that is stored on disk.
• Pre-compiler: Extracts DML commands from an application program and sent to DML
compiler.
• DML Compiler: Generates object code for DB access.
• Host lang compiler: Rest of the program (i.e., apart from DML commands).

80
DBMS Environment
• Interactive Query: Queries are passed, analyzed for correctness.
• Query compiler: handles high level queries that are entered interactively.
Interprets and query by creating DB access code and then subjects to query
optimization.
• Query optimizer: Concerned rearrangement and possible reordering,
elimination of redundancies and makes calls on the runtime processor.

Aruna (DSCASC) 81
DBMS Environment

Aruna (DSCASC) 82
Client Server Architecture
• The client-server architecture was developed to deal with computing
environments in which a large number of computers, workstations, file
server, printers, database servers, web servers and other equipment are
connected via a network.
• In client server architecture, number of personal computers, workstations,
servers and printers are involved.
• Each server is assigned a specific functionality.
Like printer server which connects to various printers and print
requests by the client.
File server that maintains the files of the client machine.

There are two client server framework:
1) Two tier architecture
2) Three tier architecture
Aruna (DSCASC) 83

Aruna (DSCASC) 84
Two-Tier architecture:
• In two tier architecture the software components are distributed
over two systems. The client and the server.
Client
Print
Server
File
Server
DBMS
Server
Client Client
Logical two-tier architecture

Aruna (DSCASC) 85
Two-Tier architecture
• A client is a user machine that provides user interface
and local processing.
• When a client requests, it connects to a server that
provides the need.
• A server machine can provide services to the client
machine such as file access, printing, or database access.

Aruna (DSCASC) 86
• In World wide web, many applications use three tier architecture.
• There is an intermediate layer between the client and the database server
called the application server or web server and is named according to the
application.
Three-Tier architecture
GUI, Web Interface
Application Programs
Web pages
Database Management
System
Logical three-tier client/server architecture
Client
Application Server
(or) web server
Database server

Aruna (DSCASC) 87
• The web server plays the intermediary role by sorting business rules
(procedures or constraints) that are used to access data from the
database server.
• The intermediate server accepts request from the client, processes the
request and sends database commands to the database server, and then
pass the processed data from the database server to the client.
Three-Tier architecture

Classification of Database Management Systems
We classified DBMSs according to several criteria:
» Based on Data model
» Based on Number of users
» Based on Number of sites ( Distributed or Centralized)
» Based on Types of access paths
» Cost of the DBMS
Aruna (DSCASC) 88

Aruna (DSCASC) 89
Based on Number of users:
1) Single-user system: It support only one user at a time
and mostly used on personal computers.
2) Multi-user system: It Supports multiple users at a time
(i.e., Concurrently).
Based on number of sites (Centralized or Distributed):
Centralized: If the data is stored at a single computer site, which can be
used by multiple users..
Distributed: Database and DBMS software distributed over many
sites, connected by a computer network.
Homogeneous: It is the same DBMS existing in multiple sites.
– Based on the types of Access path.
– Cost of the DBMS.

Aruna (DSCASC) 90
Difference between Centralized and Distributed DBMS
Centralized Distributed
If the data is stored at a single
computer site, which can be used
by multiple users
Database and DBMS software distributed
over many sites, connected by a computer
network.
Database is maintained at one site Database is maintained at a number of
different sites.
If centralized system fails, entire
system is halted.
If one system fails, system continues work
with other site.
Less reliable More reliable

Dbms ii mca-ch1-ch2-intro-datamodel-2013

Empfohlen

Empfohlen

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (20)

Andere mochten auch

Andere mochten auch (20)

Ähnlich wie Dbms ii mca-ch1-ch2-intro-datamodel-2013

Ähnlich wie Dbms ii mca-ch1-ch2-intro-datamodel-2013 (20)

Mehr von Prosanta Ghosh

Mehr von Prosanta Ghosh (6)

Kürzlich hochgeladen

Kürzlich hochgeladen (20)

Dbms ii mca-ch1-ch2-intro-datamodel-2013