Transcript Introduction to Database Systems

Introduction to Database Systems
Ruoming Jin
TTH 9:15 – 10:30pm
Spring 2009
rm MSB115
Course Goals
This course is an introduction to the design, use, and
internal workings of database management system.
1. Understanding Relational Model/Algebra: data is
represented as a set of two dimensional tables and
operators are defined by manipulate the data.
2. Mastering SQL programming and mySQL database: you
will master the operations on a database system.
3. Database design: how to build a real database for an real
application?
4. Web+Database: PHP and C++ access of mySQL.
5. Database System Implementation:
Storage/Indexing/Transactions
1 & 5 separate a CS major with an IT professional
1, 2, 5 are the basics of a database system.
References
• A. Silberschatz, H. F. Korth, S Sudarshan,
Database System Concepts, 5th Ed., McGrow Hill, 2005
http://www.db-book.com
• Hector Garcia-Molina, Jeffrey D. Ullman, Jennifer Widom,
Database Systems, The Complete Book, Prentice Hall,
2002
http://www-db.stanford.edu/~ullman/dscb.html
• Class notes
Prerequisites
•
•
•
•
CS 33001 – Data Structures
CS31011 – Discrete Structures
Structured Programming Language (C++)
Software engineering topics related to project
documentation and project design
Workload & Requirements
• Project
• 3 Exams during the semester and Final Exam
• Project
20% of the final grade
2 Exams
15% of the final grade per each exam
1 Exam
20% of the final grade
Final
25% of the final grade
Attendance 5%
• No late projects are accepted
• A – 91 – 100; B – 80-90; C – 70–79; D - >64
Class Schedule
• Week 1 – Database
Overview
• Week 2,3 – Relational
Model (exam 1)
• Week 4,5,6 –SQL+
mySQL database (2
labs+exam 2)
• Week 7,8, 9 – ER model+
Relational Database
Design Theory (1 lab+
exam 3) -> project
assignment
• Week 10, 11,12 – PHP
programming + C++ database
access (1 lab)
• Web 13, 14,15 – Advanced
topic (indexing/Query
Procesing/Transaction
management) + (1 lab)
Database Overview
• File Management vs Database Management (why do we
need database?)
– Advantages of Database systems: storage persistence,
programming interface, transaction management
• Data Model (What is Data?)
• Database Language (How to manipulate data?)
• DBMS Architecture and Database System Components
(How can you build a billion-dollar software, like Oracle?
Or you can get it free, mySQL?)
• Users classification (What you can do and what you cannot
do?)
Where are databases?
• You cannot avoid it and it’s everywhere!
• You can say it actually makes the current
society and your life work!
• Banking/Credit card /Social Security Info…
• Online shopping/booking…
The DBMS Marketplace
• Relational DBMS companies – Oracle, Sybase – are among the
largest software companies in the world.
• IBM offers its relational DB2 system. With IMS, a nonrelational
system, IBM is by some accounts the largest DBMS vendor in the
world.
• Microsoft offers SQL-Server, plus Microsoft Access for the cheap
DBMS on the desktop, answered by “lite” systems from other
competitors.
• OpenSource: mySQL, postgreSQL
Pre-Database Era: Stone Age of Data
• Imagine you want build an online shopping website
– Maintain products/categories (price, picture, properties, …)
– Customers accounts
• File is uninterpreted, unstructured collection of information
• File operations: delete, catalog, create, rename, open,
close, read, write, find, …
• Access methods: Algorithms to implement operations
along with internal file organization
• Examples: File of Customers, File of Products; Access
method: implementation of a set of operations on those
files
C++ file programming
• open - open a file- specify how its opened
(read/write) and type (binary/text)
• close - close an opened file
• read - read from a file
• write - write to a file
• seek - move a file pointer to somewhere in a
file
File Management System Problems
• Any question (access) on the data is a small program!!
• Data redundancy
• Data is not isolated from the access implementation
(different format…)
• Multiple application (concurrent program) on the same file
Concurrent Program Execution
What is the final value of the account AC?
Program1
AC=AC-50
AC
Program2
AC=AC-100
#103 450
Security Problems
•
•
•
•
•
Allow access to the file only to the authorized personnel
Ability to restrict access to parts of the record
Ability to control operation usage by different users
Protection from unauthorized use
Protection from the derivation of unauthorized information
Data Integrity
• A database constraint is a logical constraint about the data
expressed in a logical language.
– STUDENT.AGE >15
– If (STUDENT.CLASS ==cs43005) then
(STUDENT.PRIOR_CLASS ==cs31001)
• Database is consistent if data at each time satisfies all
integrity constraints.
• Input to any application is a set of consistent data. An
application output is a set of consistent data.
Collection of Files
60’s
70's
Hierarchical
80's
Relational
Network
Choice for most new
applications
90’s
Object Bases
Knowledge Bases
now
Advantages of Databases
• Persistent Storage – Database not only provides persistent
storage but also efficient access to large amounts of data
• Programming Interface – Database allows users to access
and modify data using powerful query language. It
provides flexibility in data management
• Transaction Management – Database supports a
concurrent access to the data
Early Database Applications
• Airline Reservation Systems – Data items are: single passenger
reservations; Information about flights and airports; Information
about ticket prices and tickets restrictions.
• Banking Systems – Data items are accounts, customers, loans,
mortgages, balances, etc. Failures are not tolerable. Concurrent
access must be provided
• Corporate Records – Data items are: sales, accounts, bill of
materials records, employee and their dependents
Modern Database Applications
• Client – Server architecture
– DBMS serves as a server and client queries are sent to servers
– Where to locate servers
•
•
•
•
Multimedia Applications
Multidatabase Applications
Data Warehouses
It’s everywhere!!
Three Aspects to Studying DBMS's
1. Modeling and design of databases.
– Allows exploration of issues before committing to an
implementation.
2. Programming: queries and DB operations like update.
3. DBMS implementation.
What Is Data ?
• Different view points:
– A sequence of characters stored in computer memory or
storage
– Interpreted sequence of characters stored in computer
memory or storage
– Interpreted set of objects
• This maybe one of the most profound questions in
computer science! It is still open and keep
evolving!!
Data Levels and their Roles
• Physical – corresponds to the first view of data: How data
is stored, how is it accessed, how data is modified, is data
ordered, how data is allocated to computer memory and/or
peripheral devices, how data items are actually represented
(ASCI, EBCDIC,…)
• Conceptual – corresponds to the second view of data:
What we want the data to express and what relationships
between data we must express, what “ story” data tells, are
all data necessary for the “story’ are discussed.
• View – corresponds to the third view of data:What part of
the data is seen by a specific application
Physical Data - Example
• Physical
10
benjamin
3
63
6
10
J
0000035000 james
3
3
6
000375
.
.
.
.
.
.
.
.
.
Examples
• Conceptual
– TA
Name char(10),
Age char (3),
Salary Fixed Dec(6);
- Student
Name char(10),
Year-of_study char(3)
GPA Fixed Dec(5,2);
Examples
-
STUDENTS-TA
Name char(25),
Age char (3),
Salary Fixed Dec(8,2),
Year-of_study char(3)
GPA Fixed Dec(3,2);
A view
Three Level Data View –
Data Abstractions
View1
. . .
Conceptual
View
Of Data
Phyisal
Data
Storage
.
.
View k
Logical Data Models
• A collection of tools for describing
– data
– data relationships
– data semantics
– data constraints
A Break-through : Relational Model
• An enterprise is represented as a set of relations
• Domain – is a set of atomic values. Each domain has a
NULL value.
• Data type – Description of a form that domain values can
be represented.
• Relation is a subset of a cartesian product of one or more
domains
• The elements of relations are called tuples. Each element
in the cartesian product is called attribute.
Attributes
Relational Model
Student-id
Name
192-83-7465
Johnson
019-28-3746
Smith
192-83-7465
Johnson
321-12-3123
Jones
019-28-3746
Smith
Street
City
gpa
• Example of tabular data in the relational model
Alma
Palo Alto
3.6
North
Rye
2.7
Alma
Palo Alto
3.2
Main
Harrison
4.0
North
Rye
3.45
Object – Oriented Model
• An enterprise is described as a collection of objects and a
collection of algorithms that work with objects
• Example: Person is an object.
• Object is characterized by a set of public attributes.
Applications may refer only to public attributes; private
attributes . Algorithms that implement the object may refer
to private attributes; a set of protected attributes and a set
of methods
• Attribute of an object can be another object
• Objects are nested into a hierarchy and can inherit
attributes of their parents
Object Oriented Model
OBJECT DATA MODEL
1.
2.
3.
4.
Complex Objects – Nested Structure (pointers or
references)
Encapsulation, set of Methods/Access functions
Object Identity
Inheritance – Defining new classes like old classes
Object model: usually find objects via explicit navigation
Also query language in some systems
Example
• Class Person{
public:
Person();
~Person();
float GetSalary();
float PutSalary(float&);
string Name;
int SSN;
date BirthDate;
private:
float salary;
}
Object-Oriented Model
Data Encapsulation
• An object contains both data and methods to work with the
data
• The physical data representation is visible only to the
object creator.
• The implementation details of methods are not visible to
object users
• An interface of the object consists of public attributes and
methods
• Each object is characterized by an object identity
Data Manipulation Language
• Language for accessing and manipulating the data
organized by the appropriate data model
• Two classes of languages
– Procedural – user specifies what data is required and
how to get those data
– Nonprocedural – user specifies what data is required
without specifying how to get those data
• SQL is the most widely used query language
Database Languages
Department
Faculty
Name
Dept
Dept
Chair
SQL
SELECT Chair
FROM Faculty, Department
WHERE Faculty.name = “Ken Noname”
AND Faculty.Dept = Department.Dept
Data definition language (DDL) ~ like type definitions in C or C++
Data Manipulation Language (DML)
Query (SELECT)
UPDATE < relation name >
SET <attribute> = < new-value>
WHERE <condition>
Data Definition Language
• Specification notation for defining the database
schema
– E.g.
create table account (
account-number char(10),
balance
integer)
• DDL compiler generates a set of tables stored in a
data dictionary
• Data dictionary contains metadata (i.e., data about
data)
– database schema
– Data storage and definition language
• language in which the storage structure and access methods
used by the database system are specified
• Usually an extension of the data definition language
Database Host Languages
C, C++, Fortran, Lisp, COBOL
Application prog.
Calls to
DB
DBMS
Local Vars
(Memory)
(Storage)
Host language is completely general
Query language—less general "non procedural" and
optimizable
Database Definition
• A database is a collection of stored operational data used
by various applications and/or users by some particular
enterprise or by a set of outside authorized applications and
authorized users
• A DataBase Management System (DBMS) is a software
system that manages execution of users applications to
access and modify database data so that the data security,
data integrity, and data reliability is guaranteed for each
application and each application is written with an
assumption that it is the only application active in the
database.
DBMS Architecture
Logical and Physical Database Components
• Data Definition Language (DDL)
•
•
•
•
•
Data Manipulation Language (DML)
Host Language Interface
Data Administrator
Users
Query Processor
– Compiler
– Optimizer
• Management
– Transaction Manager
– File Manager
– Buffer Manager
– Authorization and Integrity Manager
Logical
Physical
Query Processor
• Compiler – verifies whether a program or query is written
in accordance with DDL and DML rules
• Optimizer – Finds the most effective way to access the
required data and supply it in a user requested form.
Monitors the query execution and modifies a query
evaluation plan if necessary.
Storage Management
• Storage manager is a program module that
provides the interface between the low-level data
stored in the database and the application
programs and queries submitted to the system.
• The storage manager is responsible to the
following tasks:
– interaction with the file manager
– efficient storing, retrieving and updating of data
Transaction Manager
• A transaction is a collection of operations that performs a
single logical function in a database application
• Transaction-management component ensures that the
database remains in a consistent (correct) state despite
system failures (e.g., power failures and operating system
crashes) and transaction failures.
• Concurrency-control manager controls the interaction
among the concurrent transactions, to ensure the
consistency of the database.
File Manager
• File Manager is responsible for mapping logical database
units (objects, relations, etc.) into a set of low level files.
• It is responsible for maintenance of files and indexes on
them. It should be able to create and destroy index and
collect unused storage space to eliminate an unneeded gaps
on disks.
Buffer Manager
• Buffer Manager is responsible for the allocation and
maintenance buffer space in a memory to facilitate
processing database data by several concurrent
applications.
• Buffer Manager decides when to load data from a buffer to
a database or discard the data and under what conditions a
new data should be put into a buffer
Authorization and Integrity Manager
• This manager is responsible for granting an access to
database or portions thereof only to authorized users and
preventing the access to unauthorized users
• Integrity manager must assure data integrity during normal
database operations as well as during the database failures
Data Administrator
• Coordinates all the activities of the database
system; the database administrator has a good
understanding of the enterprise’s information
resources and needs.
• Database administrator's duties include:
–
–
–
–
–
–
–
Schema definition
Storage structure and access method definition
Schema and physical organization modification
Granting user authority to access the database
Specifying integrity constraints
Acting as liaison with users
Monitoring performance and responding to
changes in requirements
Database Users
• Naïve – do not know about database too much, invoke
application programs that are prepared already
• Application Programmers – know how to interact with the
system but may not know how DBMS is designed
• Sophisticated users that know advanced use of the system
and can use the system and packages on the top of the
system
• DBMS system users – write specialized database
applications that do not fit into the traditional data
processing framework
A Little Design Methodology: Entity-Relationship
Model
• The enterprise data can be described as a set of entities and
a set of relationships between them.
• Entity – a data that pertains to, or describes some
component of the enterprise
• Each entity is characterized by a set of attributes
• Relationship – describes an interconnection between
different entities
• Entity Set – a set of entities that are characterized by the
same entity definition
• Relationship Set – a set of relationships of the same type
Entity-Relationship Model
Example of schema in the entity-relationship model