Lab Manual
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Copyright c 2018 Dr CK Raju
P UBLISHED BY MITS, E RNAKULAM
KTU S YLLABUS
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First printing, July 2018
I
Part One
1
Syllabus . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
1.1
1.2
1.3
Course Objectives
Course Outcomes
List of Experiments
2
Brief Outline . . . . . . . . . . . . . . . . . . . . . . . . . . 9
2.1
History
3
EER Schema and DDL Commands . . . . 11
3.1
3.2
3.3
3.4
EER Schema
DDL Commands
DCL Commands
TCL Commands
4
Content Management System . . . . . . . . 15
4.1
4.2
Downloading Drupal Tarball
Enabling PHP module for Drupal
8
Chapter 1. Syllabus
13.
14.
15.
16.
17.
18.
Creation of Procedures and Functions *
Creation of Packages *
Creation of Database Triggers and Cursors *
Practise various front-end tools with report generation.
Creating Forms and Menus
Mini Project (Application Development using Oracle/MySQL using Database connectivity)*
(a) Inventory Control System
(b) Material Requirement Processing
(c) Hospital Management System
(d) Railway Reservation System
(e) Personal Information System
(f) Web-based User Identification System
(g) Timetable Management System
(h) Hotel Management System
10
Chapter 2. Brief Outline
future versions of MySQL.
MariaDB is used at DBS Bank, Google, Mozilla and the Wikimedia Foundation since 2013 and
is emerging as the most preferred RDBMS for many establishments and professionals worldwide.
12
Chapter 3. EER Schema and DDL Commands
Figure 3.2: EER Schema for sakila database
3.2 DDL Commands
3.2
13
DDL Commands
Theorem 3.2.1 A couple of examples from the data definition language includes creation and
dropping of databases, creation and dropping of tables etc. We should also know how to create a
database from its archived backup, as well as creating a backup for an existing database.
• Create database from an existing database dump.
• Create a new user and associate privileges with it.
• Create a backup from an existing database - discuss significance
Exercise 3.2
3.3
DCL Commands
Theorem 3.3.1 By using these commands, all privileges would be extended to newuser on
sakila database.
R
3.4
TCL Commands
Theorem 3.4.1 Transactional Control Language is used to control transactions occurring within
a database. It gives more flexibility for the database programme to exercise control over transactions.
In MariaDB, the AUTOCOMMIT flag is usually set to 1 (or ON). This implies that any
transaction is a "commit" by default. To enable TCL, one has to reset AUTOCOMMIT flag by
setting it to 0 (or OFF).
mariadb> SET AUTOCOMMIT = 0
Thereafter, the transactions are not committed unless explicitly done by issuing a COMMIT.
This also implies that all changes made to database are transcient in nature and could be rolled
back by issuing ROLLBACK command.
Experiments: Carry out experiments on DDL, DML and DCL commands to figure out which
all SQL statements come under the purview of this feature of TCL.
R
• By issuing "SET AUTOCOMMIT=0" command, ROLLBACK will be active as long
as AUTOCOMMIT is not set to 1. ie until SET AUTOCOMMIT=1 is issued, or
database reset (by quitting and restarting).
• START TRANSACTION is a valid statement that enables Transaction Control, but
will be in force only till the first ROLLBACK or COMMIT is issued. After the
ROLLBACK/COMMIT statement is issued, one has to start new block with another
START TRANSACTION command.
16
Chapter 4. Content Management System
Exercise 4.4 $ sudo apt-get install php-fdomdocument php-gd
"Clean URL" feature for Drupal need to be activated. For this,
Exercise 4.5 $ sudo vim /etc/apache2/sites-enabled/000-default.conf
Add the following snippet under the line where "DocumentRoot /var/www/html" appear
Options Indexes FollowSymLinks
AllowOverride All
Next issue the following command
$ sudo systemctl restart apache2
Exercise 4.6 At this point, most of the background preparation ought to be over. Open browser
and execute "http://localhost" as URL.
If drupal points out any errors, these need to be eliminated.
At the end, the site should be up for further work.
Exercise 4.7 As a default, Drupal 8.x doesn’t support PHP module. To activate it, the PHP
module must be downloaded from Extend feature inside Drupal admin panel, and the tarball
must be exploded inside core/modules/ of drupal installation folder. After exploding, the PHP
module need to be installed through the admin panel of Drupal.
EX.NO:1
IMPLEMENTATION OF DDL COMMANDS
AIM:
To create a DDL to perform creation of table, alter, modify and drop column.
DDL COMMANDS
1. The Create Table Command: - it defines each column of the table uniquely. Each column
has minimum of three attributes, a name , data type and size.
Syntax:
Create table
( (), ));
Ex:create table emp(empno number(4) primary key, ename char(10));
2.
Modifying the structure of tables.
a) Add new columns
Syntax:
Alter table add(datatype(size));
Ex:alter table emp add(sal number(7,2));
3. Dropping a column from a table.
Syntax:
Alter table drop column ;
Ex:alter table emp drop column sal;
4. Modifying existing columns.
Syntax:
Alter table modify(());
Ex:alter table emp modify(ename varchar2(15));
5. Renaming the tables
Syntax:
Rename to ;
Ex:rename emp to emp1;
6. truncating the tables.
Syntax:
Truncate table ;
Ex:trunc table emp1;
7. Destroying tables.
Syntax:
Drop table ;
Ex:drop table emp;
CREATION OF TABLE:
SYNTAX:
create table(column1 datatype,column2 datatype...);
EXAMPLE:
SQL>create table std(sno number(5),sname varchar(20),age number(5),sdob date,sm1
number(4,2),sm2 number(4,2),sm3 number(4,4));
Table created.
SQL>insert into std values(101,’AAA’,16,’03-jul-88’,80,90,98);
1 row created.
SQL>insert into std values(102,’BBB’,18,’04-aug-89’,88,98,90);
1 row created.
OUTPUT:
Select * from std;
SNO SNAME AGE SDOB
SM1 SM2 SM3
101
AAA
16
03-jul-88 80
90
98
102
BBB
18
04-aug-89 88
98
90
ALTER TABLE WITH ADD:
SQL>create table student(id number(5),name varchar(10),game varchar(20));
Table created.
SQL>insert into student values(1,’mercy’,’cricket’);
1 row created.
SYNTAX:
alter tableadd(col1 datatype,col2 datatype..);
EXAMPLE:
SQL>alter table student add(age number(4));
SQL>insert into student values(2,’sharmi’,’tennis’,19);
OUTPUT:
ALTER: select * from student;
ID NAME GAME
1
Mercy Cricket
ADD: select * from student;
ID NAME GAME AGE
1
Mercy cricket
2
Sharmi Tennis 19
ALTER TABLE WITH MODIFY:
SYNTAX:
Alter tablemodify(col1 datatype,col2 datatype..);
EXAMPLE:
SQL>alter table student modify(id number(6),game varchar(25));
OUTPUT:
MODIFY
desc student;
NAME NULL? TYPE
Id
Number(6)
Name Varchar(20)
Game Varchar(25)
Age
Number(4)
DROP:
SYNTAX: drop table;
EXAMPLE:
SQL>drop table student;
SQL>Table dropped.
TRUNCATE TABLE
SYNTAX: TRUNCATE TABLE ;
Example: Truncate table stud;
DESC
Example: desc emp;
Name Null? Type
--------------------------------- -------EmpNo NOT NULL number(5)
EName VarChar(15)
Job NOT NULL Char(10)
DeptNo NOT NULL number(3)
PHONE_NO number (10)
CONSTRAINTS:
Create table tablename (column_name1 data_ type constraints, column_name2 data_ type
constraints …)
Example:
Create table Emp ( EmpNo number(5), EName VarChar(15), Job Char(10) constraint un
unique, DeptNo number(3) CONSTRAINT FKey2 REFERENCES DEPT(DeptNo));
Create table stud (sname varchar2(20) not null, rollno number(10) not null,dob date not null);
DOMAIN INTEGRITY
Example: Create table cust(custid number(6) not null, name char(10));
Alter table cust modify (name not null);
CHECK CONSTRAINT
Example: Create table student (regno number (6), mark number (3) constraint b check (mark
>=0 and mark <=100)); Alter table student add constraint b2 check (length(regno<=4));
ENTITY INTEGRITY
a) Unique key constraint
Example: Create table cust(custid number(6) constraint unique, name char(10)); Alter table
cust add(constraint c unique(custid));
b) Primary Key Constraint
Example: Create table stud(regno number(6) constraint primary key, name char(20));
Queries:
Q1. Create a table called EMP with the following structure.
Name Type
---------- ---------------------EMPNO NUMBER(6)
ENAME VARCHAR2(20)
JOB VARCHAR2(10)
DEPTNO NUMBER(3)
SAL NUMBER(7,2)
Allow NULL for all columns except ename and job.
Solution:
1. Understand create table syntax.
2. Use the create table syntax to create the said tables.
3. Create primary key constraint for each table as understand from logical table structure.
Ans:
SQL> create table emp(empno number(6),ename varchar2(20)not null,job varchar2(10) not
null, deptno number(3),sal number(7,2));
Table created.
Q2: Add a column experience to the emp table.
experience numeric null allowed.
Solution:
1. Learn alter table syntax.
2. Define the new column and its data type.
3. Use the alter table syntax.
Ans: SQL> alter table emp add(experience number(2));
Table altered.
Q3: Modify the column width of the job field of emp table.
Solution:
1. Use the alter table syntax.
2. Modify the column width and its data type.
Ans: SQL> alter table emp modify(job varchar2(12));
Table altered.
SQL> alter table emp modify(job varchar(13));
Table altered.
Q4: Create dept table with the following structure.
Name Type
------------ --------------------DEPTNO NUMBER(2)
DNAME VARCHAR2(10)
LOC VARCHAR2(10)
Deptno as the primarykey
Solution:
1. Understand create table syntax.
2. Decide the name of the table.
3. Decide the name of each column and its data type.
4. Use the create table syntax to create the said tables.
5. Create primary key constraint for each table as understand from logical table structure.
Ans:
SQL> create table dept(deptno number(2) primary key,dname varchar2(10),loc
varchar2(10));
Table created.
Q5: create the emp1 table with ename and empno, add constraints to check the empno value
while entering (i.e) empno > 100.
Solution:
1. Learn alter table syntax.
2. Define the new constraint [columns name type]
3. Use the alter table syntax for adding constraints.
Ans:
SQL> create table emp1(ename varchar2(10),empno number(6) constraint
check(empno>100));
Table created.
Q6: drop a column experience to the emp table.
Solution:
1. Learn alter table syntax. Use the alter table syntax to drop the column.
Ans:
SQL> alter table emp drop column experience; Table altered.
Q7: Truncate the emp table and drop the dept table
Solution:
1. Learn drop, truncate table syntax.
Ans: SQL> truncate table emp; Table truncated.
QUESTIONS
1. Define DDL
2. What are constraints?
3. Categories of SQL Command.
4. Difference between truncate and drop.
5. Define primary and referential integrity.
RESULT:
Thus the DDL commands have been executed successfully.
EX.NO:2
IMPLEMENTATION OF DML AND DCL COMMANDS
AIM;
To study the various DML commands and implement them on the database.
DML COMMANDS
DML commands are the most frequently used SQL commands and is used to query
and manipulate the existing database objects. Some of the commands are Insert, Select,
Update, Delete.
Insert Command This is used to add one or more rows to a table. The values are separated by
commas and the data types char and date are enclosed in apostrophes. The values must be
entered in the same order as they are defined.
Select Commands It is used to retrieve information from the table. It is generally referred to
as querying the table. We can either display all columns in a table or only specify column
from the table.
Update Command It is used to alter the column values in a table. A single column may be
updated or more than one column could be updated.
Delete command After inserting row in a table we can also delete them if required. The delete
command consists of a from clause followed by an optional where clause.
Q1: Insert a single record into dept table.
Ans: SQL> insert into dept values (1,'IT','Tholudur');
1 row created.
Q2: Insert more than a record into emp table using a single insert command.
Ans: SQL> insert into emp values(&empno,'&ename','&job',&deptno,&sal);
Enter value for empno: 1
Enter value for ename: Mathi
Enter value for job: AP
Enter value for deptno: 1
Enter value for sal: 10000
old 1: insert into emp values(&empno,'&ename','&job',&deptno,&sal)
new 1: insert into emp values(1,'Mathi','AP',1,10000)
1 row created.
SQL> / Enter value for empno: 2
Enter value for ename: Arjun
Enter value for job: ASP
Enter value for deptno: 2
Enter value for sal: 12000
old 1: insert into emp values(&empno,'&ename','&job',&deptno,&sal)
new 1: insert into emp values(2,'Arjun','ASP',2,12000)
1 row created.
SQL> / Enter value for empno: 3
Enter value for ename: Gugan
Enter value for job: ASP
Enter value for deptno: 1
Enter value for sal: 12000
old 1: insert into emp values(&empno,'&ename','&job',&deptno,&sal)
new 1: insert into emp values(3,'Gugan','ASP',1,12000)
1 row created.
Q3: Update the emp table to set the salary of all employees to Rs15000/- who are working as
ASP
Ans: SQL> select * from emp;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ------------- ---------- ---------1 Mathi AP 1 10000
2 Arjun ASP 2 12000
3 Gugan ASP 1 12000
SQL> update emp set sal=15000 where job='ASP'; 2 rows updated.
SQL> select * from emp;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ------------- ---------- ---------1 Mathi AP 1 10000
2 Arjun ASP 2 15000
3 Gugan ASP 1 15000
Q4: Create a pseudo table employee with the same structure as the table emp and insert rows
into the table using select clauses.
Ans: SQL> create table employee as select * from emp;
Table created.
SQL> desc employee;
Name Null? Type
----------------------------------------- -------- ---------------------------EMPNO NUMBER(6)
ENAME NOT NULL VARCHAR2(20)
JOB NOT NULL VARCHAR2(13)
DEPTNO NUMBER(3)
SAL NUMBER(7,2)
Q5: select employee name, job from the emp table
Ans: SQL> select ename, job from emp;
ENAME JOB
-------------------- ------------Mathi AP
Arjun ASP
Gugan ASP
Karthik Prof
Akalya AP
suresh lect
6 rows selected.
Q6: Delete only those who are working as lecturer
Ans: SQL> select * from emp;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ------------- ---------- ---------1 Mathi AP 1 10000
2 Arjun ASP 2 15000
3 Gugan ASP 1 15000
4 Karthik Prof 2 30000
5 Akalya AP 1 10000
6 suresh lect 1 8000
6 rows selected.
SQL> delete from emp where job='lect';
1 row deleted.
SQL> select * from emp;
EMPNO ENAME JOB DEPTNO SAL
--------- -------------------- ------------- ---------- ---------1 Mathi AP 1 10000
2 Arjun ASP 2 15000
3 Gugan ASP 1 15000
4 Karthik Prof 2 30000
5 Akalya AP 1 10000
Q7: List the records in the emp table orderby salary in ascending order.
Ans: SQL> select * from emp order by sal;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ------------- ---------- ---------1 Mathi AP 1 10000
5 Akalya AP 1 10000
2 Arjun ASP 2 15000
3 Gugan ASP 1 15000
4 Karthik Prof 2 30000
Q8: List the records in the emp table orderby salary in descending order.
Ans: SQL> select * from emp order by sal desc;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ------------- ---------- ---------4 Karthik Prof 2 30000
2 Arjun ASP 2 15000
3 Gugan ASP 1 15000
1 Mathi AP 1 10000
5 Akalya AP 1 10000
Q9: Display only those employees whose deptno is 30.
Solution: Use SELECT FROM WHERE syntax.
Ans: SQL> select * from emp where deptno=1;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ------------- ---------- ---------1 Mathi AP 1 10000
3 Gugan ASP 1 15000
5 Akalya AP 1 10000
Q10: Display deptno from the table employee avoiding the duplicated values.
Solution:
1. Use SELECT FROM syntax.
2.Select should include distinct clause for the deptno.
Ans: SQL> select distinct deptno from emp;
DEPTNO
---------1
2
IMPLEMENTATION OF DATA AND BUILT IN FUNCTIONS IN SQL
CHARACTER/STRING FUNCTION:
SQL> select upper('welcome') from dual;
----------WELCOME
SQL> select upper('hai') from dual;
--HAI
SQL> select lower('HAI') from dual;
LOW
--hai
SQL> select initcap(‘hello world') from dual;
INITCAP('Hello
-------------Hello World
SQL> select ltrim(' hai') from dual;
LTR
--hai
SQL> select rtrim('hai
')from dual;
SQL> select rpad('hai',3,'*')from dual;
RPAD('
-----hai***
SQL> select lpad('hai',3,'*')from dual;
LPAD('
-----***hai
SQL> select replace('Dany','y','ie')from dual;
REPLACE
------Danie
SQL> select translate('cold','ld','ol')from dual;
TRANSL
-----cool
DATE & TIME FUNCTION
SQL> select sysdate from dual;
SYSDATE
--------07-APR-10
SQL> select round(sysdate)from dual;
ROUND(SYS
--------07-APR-10
SQL> select add_months(sysdate,3)from dual;
ADD_MONTH
--------07-JUL-10
SQL> select last_day(sysdate)from dual;
LAST_DAY(
--------30-APR-10
SQL> select sysdate+20 from dual;
SYSDATE+2
--------27-APR-10
SQL> select next_day(sysdate,'tuesday')from dual;
NEXT_DAY(
--------13-APR-10
NUMERIC FUNCTION
SQL> select round(15.6789)from dual;
ROUND(15.6789)
-------------16
SQL> select ceil(23.20)from dual;
CEIL(23.20)
----------24
SQL> select floor(34.56)from dual;
FLOOR(34.56)
-----------34
SQL> select trunc(15.56743)from dual;
TRUNC(15.56743)
--------------15
SQL> select sign(-345)from dual;
SIGN(-345)
----------1
SQL> select abs(-70)from dual;
ABS(-70)
--------70
MATH FUNCTION:
SQL> select abs(45) from dual;
ABS(45)
--------45
SQL> select power(10,12) from dual;
POWER(10,12)
-----------1.000E+12
SQL> select mod(11,5) from dual;
MOD(11,5)
--------1
SQL> select exp(10) from dual;
EXP(10)
--------22026.466
SQL> select sqrt(225) from dual;
SQRT(225)
--------15
NESTED QUERIES AND JOIN QUERIES
Q1: Display all employee names and salary whose salary is greater than minimum salary of
the company and job title starts with ‗M‘.
Solution:
1. Use select from clause.
2. Use like operator to match job and in select clause to get the result.
Ans: SQL> select ename,sal from emp where sal>(select min(sal) from emp where job like
'A%');
ENAME SAL
-------------------- ---------Arjun 12000
Gugan 20000
Karthik 15000
Q2: Issue a query to find all the employees who work in the same job as Arjun.
Ans: SQL> select * from emp;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ---------- ---------- ---------1 Mathi AP 1 10000
2 Arjun ASP 2 12000
3 Gugan ASP 2 20000
4 Karthik AP 1 15000
SQL> select ename from emp where job=(select job from emp where ename='Arjun');
ENAME
-------------Arjun
Gugan
SET OPERATORS
QUERIES:
Q1: Display all the dept numbers available with the dept and emp tables avoiding duplicates.
Solution:
1. Use select from clause.
2. Use union select clause to get the result.
Ans: SQL> select deptno from emp union select deptno from dept;
DEPTNO
---------1
2
12
30
40
Q2: Display all the dept numbers available with the dept and emp tables.
Solution:
1. Use select from clause.
2. Use union all in select clause to get the result.
Ans: SQL> select deptno from emp union all select deptno from dept;
DEPTNO
---------1
2
2
1
12
1
2
30
40
9 rows selected.
Q3: Display all the dept numbers available in emp and not in dept tables and vice versa.
Solution:
1. Use select from clause.
2. Use minus in select clause to get the result.
Ans: SQL> select deptno from emp minus select deptno from dept;
DEPTNO
---------12
SQL> select deptno from dept minus select deptno from emp;
DEPTNO
---------30
40
VIEWS
Q1: The organization wants to display only the details of the employees those who are ASP.
Solution:
1. Create a view on emp table named managers
2. Use select from clause to do horizontal portioning
Ans: SQL> create view empview as select * from emp where job='ASP';
View created.
SQL> select * from empview;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ---------- ---------- ---------2 Arjun ASP 2 12000 3 Gugan ASP 2 20000
Q2: The organization wants to display only the details like empno, empname, deptno,
deptname of the employees. (Vertical portioning)
Solution: 1. Create a view on emp table named general
2. Use select from clause to do vertical partioning
Ans: SQL> create view empview1 as select ename,sal from emp;
View created.
Q3: Display all the views generated.
Ans: SQL> select * from tab;
TNAME TABTYPE CLUSTERID
------------------------------ ------- ---------DEPT TABLE
EMP TABLE
EMPVIEW VIEW
EMPVIEW1 VIEW
Q4: Execute the DML commands on the view created.
Ans: SQL> select * from empview;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ---------- ---------- ---------2 Arjun ASP 2 12000
3 Gugan ASP 2 20000
Q5: Drop a view.
Ans: SQL> drop view empview1;
View dropped.
Q3: Issue a query to display information about employees who earn more than any employee
in dept 1. Ans: SQL> select * from emp where sal>(select max(sal) from emp where
empno=1);
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ---------- ---------- ---------2 Arjun ASP 2 12000
3 Gugan ASP 2 20000
4 Karthik AP 1 15000
JOINS Tables used
SQL> select * from emp;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ---------- ---------- ---------1 Mathi AP 1 10000
2 Arjun ASP 2 12000
3 Gugan ASP 2 20000
4 Karthik AP 1 15000
SQL> select * from dept;
DEPTNO DNAME LOC
---------- -------------- ------------1 ACCOUNTING NEW YORK
2 RESEARCH DALLAS
30 SALES CHICAGO
40 OPERATIONS BOSTON
EQUI-JOIN
Q4: Display the employee details, departments that the departments are same in both the emp
and dept. Solution: 1. Use select from clause.
2. Use equi join in select clause to get the result.
Ans: SQL> select * from emp,dept where emp.deptno=dept.deptno;
EMPNO ENAME JOB DEPTNO SAL DEPTNO DNAME LOC
---------- ------------------ ---------- ---------- ---------- ---------- -------------- ------------1 Mathi AP 1 10000 1 ACCOUNTING NEW YORK
2 Arjun ASP 2 12000 2 RESEARCH DALLAS
3 Gugan ASP 2 20000 2 RESEARCH DALLAS
4 Karthik AP 1 15000 1
ACCOUNTING NEW YORK
NON-EQUIJOIN
Q5: Display the employee details, departments that the departments are not same in both the
emp and dept. Solution: 1.Use select from clause. 2. Use non equi join in select clause to get
the result.
Ans: SQL> select * from emp,dept where emp.deptno!=dept.deptno;
EMPNO ENAME JOB DEPTNO SAL DEPTNO DNAME LOC
---------- -------------------- ---------- ---------- ---------- ------------------------ ------------2 Arjun ASP 2 12000 1 ACCOUNTING NEW YORK
3 Gugan ASP 2 20000 1 ACCOUNTING NEW YORK
1 Mathi AP 1 10000 2 RESEARCH DALLAS
EMPNO ENAME JOB DEPTNO SAL DEPTNO DNAME LOC
---------- -------------------- ---------- ---------- ---------- ---------- -------------- ------------4 Karthik AP 1 15000 2 RESEARCH DALLAS
1 Mathi AP 1 10000 30 SALES CHICAGO
2 Arjun ASP 2 12000 30 SALES CHICAGO
EMPNO ENAME JOB DEPTNO SAL DEPTNO DNAME LOC
---------- -------------------- ---------- ---------- ---------- ---------- -------------- ------------3 Gugan ASP 2 20000 30 SALES CHICAGO
4 Karthik AP 1 15000 30 SALES CHICAGO
1 Mathi AP 1 10000 40 OPERATIONS BOSTON
EMPNO ENAME JOB DEPTNO SAL DEPTNO DNAME LOC
---------- -------------------- ---------- ---------- ---------- ---------- -------------- ------------2 Arjun ASP 2 12000 40 OPERATIONS BOSTON
3 Gugan ASP 2 20000 40 OPERATIONS BOSTON
4 Karthik AP 1 15000 40 OPERATIONS BOSTON
12 rows selected.
LEFTOUT-JOIN Tables used SQL> select * from stud1;
Regno Name Mark2 Mark3 Result
---------- ----------- ---------- ---------- --------------------------------------101 john 89 80 pass
102 Raja 70 80 pass
103 Sharin 70 90 pass
104 sam 90 95 pass
SQL> select * from stud2;
NAME GRA
----------- ---------john s raj s sam a sharin a
Q6: Display the Student name and grade by implementing a left outer join.
Ans: SQL> select stud1.name,grade from stud1 left outer join stud2 on
stud1.name=stud2.name;
Name Gra
----------- ---------john s raj
s sam a sharin a smith null
RIGHTOUTER-JOIN
Q7: Display the Student name, register no, and result by implementing a right outer join.
Ans: SQL> select stud1.name, regno, result from stud1 right outer join stud2 on stud1.name
= stud2.name; Name Regno Result
----------- ---------- -------------------------john 101 pass
raj 102 pass
sam 103 pass
sharin 104 pass
Rollno Name Mark1 Mark2 Total
---------- ---------- ---------- ---------- ---------1 sindu 90 95 185
2 arul 90 90 180
FULLOUTER-JOIN
Q8: Display the Student name register no by implementing a full outer join.
Ans: SQL> select stud1.name, regno from stud1 full outer join stud2 on (stud1.name=
stud2.name);
Name Regno
----------- ---------john 101
raj 102 sam
103 sharin 104
SELFJOIN
Q9: Write a query to display their employee names
Ans: SQL> select distinct ename from emp x, dept y where x.deptno=y.deptno;
ENAME
-------------------Arjun
Gugan
Karthik
Mathi
Q10: Display the details of those who draw the salary greater than the average salary.
Ans: SQL> select distinct * from emp x where x.sal >= (select avg(sal) from emp);
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ---------- ---------- ---------3 Gugan ASP 2 20000
4 Karthik AP 1 15000
11 kavitha designer 12 17000
DCL COMMANDS
The DCL language is used for controlling the access to the table and hence securing the
database. DCL is used to provide certain privileges to a particular user. Privileges are rights
to be allocated.The privilege commands are namely, Grant and Revoke.The various
privileges that can be granted or revoked are, Select Insert Delete Update References Execute
All.
GRANT COMMAND: It is used to create users and grant access to the database. It requires
database administrator (DBA) privilege, except that a user can change their password. A user
can grant access to their database objects to other users.
REVOKE COMMAND: Using this command , the DBA can revoke the granted database
privileges from the user.
TCL COMMAND
COMMIT: command is used to save the Records.
ROLL BACK: command is used to undo the Records.
SAVE POINT command is used to undo the Records in a particular transaction.
Queries:
Tables Used: Consider the following tables namely “DEPARTMENTS” and
“EMPLOYEES”
Their schemas are as follows , Departments ( dept _no , dept_ name , dept_location );
Employees ( emp_id , emp_name , emp_salary );
Q1: Develop a query to grant all privileges of employees table into departments table
Ans: SQL> Grant all on employees to departments;
Grant succeeded.
Q2: Develop a query to grant some privileges of employees table into departments table
Ans: SQL> Grant select, update , insert on departments to departments with grant option;
Grant succeeded.
Q3: Develop a query to revoke all privileges of employees table from departments table
Ans: SQL> Revoke all on employees from departments; Revoke succeeded.
Q4: Develop a query to revoke some privileges of employees table from departments table
Ans: SQL> Revoke select, update , insert on departments from departments;
Revoke succeeded.
Q5: Write a query to implement the save point
Ans: SQL> SAVEPOINT S1;
Savepoint created.
SQL> select * from emp;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ------------- ---------- ---------1 Mathi AP 1 10000
2 Arjun ASP 2 15000
3 Gugan ASP 1 15000
4 Karthik Prof 2 30000
SQL> INSERT INTO EMP VALUES(5,'Akalya','AP',1,10000); 1 row created.
SQL> select * from emp;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ------------- ---------- ---------1 Mathi AP 1 10000
2 Arjun ASP 2 15000
3 Gugan ASP 1 15000
4 Karthik Prof 2 30000
5 Akalya AP 1 10000
Q6: Write a query to implement the rollback
Ans: SQL> rollback s1; SQL> select * from emp;
EMPNO ENAME JOB DEPTNO SAL
---------- -------------------- ------------- ---------- ---------1 Mathi AP 1 10000
2 Arjun ASP 2 15000
3 Gugan ASP 1 15000
4 Karthik Prof 2 30000
Q6: Write a query to implement the commit
Ans: SQL> COMMIT;
Commit complete.
RESULT
Thus the DML, DCL,TCL commands was performed successfully and executed.
EX.NO:3
IMPLEMENTATION OF CURSORS
CURSOR PROGRAM FOR ELECTRICITY BILL CALCULATION:
SQL> create table bill(name varchar2(10), address varchar2(20), city varchar2(20), unit
number(10));
Table created.
SQL> insert into bill values('&name','&addess','&city','&unit');
Enter value for name: yuva
Enter value for addess: srivi
Enter value for city: srivilliputur
Enter value for unit: 100
old 1: insert into bill values('&name','&addess','&city','&unit')
new 1: insert into bill values('yuva','srivi','srivilliputur','100')
1 row created.
SQL> /
Enter value for name: nithya
Enter value for addess: Lakshmi nagar
Enter value for city: sivakasi
Enter value for unit: 200
old 1: insert into bill values('&name','&addess','&city','&unit')
new 1: insert into bill values('nithya','Lakshmi nagar','sivakasi','200')
1 row created.
SQL> /
Enter value for name: maya
Enter value for addess: housing board
Enter value for city: sivakasi
Enter value for unit: 300
old 1: insert into bill values('&name','&addess','&city','&unit')
new 1: insert into bill values('maya','housing board','sivakasi','300')
1 row created.
SQL> /
Enter value for name: jeeva
Enter value for addess: RRR nagar
Enter value for city: sivaganagai
Enter value for unit: 400
old 1: insert into bill values('&name','&addess','&city','&unit')
new 1: insert into bill values('jeeva','RRR nagar','sivaganagai','400')
1 row created.
SQL> select * from bill;
NAME
ADDRESS
CITY
UNIT
---------- -------------------- -------------------- --------yuva
nithya
srivi
Lakshmi nagar
srivilliputur
sivakasi
100
200
maya housing board
sivakasi
300
jeeva
sivaganagai
400
RRR nagar
SQL> declare
2 cursor c is select * from bill;
3 b bill %ROWTYPE;
4 begin
5 open c;
6 dbms_output.put_line('Name Address
city Unit
Amount');
7 loop
8 fetch c into b;
9 if(c % notfound) then
10 exit;
11 else
12 if(b.unit<=100) then
13 dbms_output.put_line(b.name||' '||b.address||'
'||b.city||'
'||b.unit||'
'||b.uni
t*1);
14 elsif(b.unit>100 and b.unit<=200) then
15 dbms_output.put_line(b.name||'
'||b.address||'
'||b.city||'
'||b.unit||'
'||b.
'||b.city||'
'||b.unit||'
'||b.
unit*2);
16 elsif(b.unit>200 and b.unit<=300) then
17 dbms_output.put_line(b.name||'
'||b.address||'
unit*3);
18 elsif(b.unit>300 and b.unit<=400) then
19 dbms_output.put_line(b.name||' '||b.address||' '||b.city||' '||b.unit||'
'||b.unit*
4);
20 else
21 dbms_output.put_line(b.name||' '||b.address||' '||b.city||' '||b.unit||'
5);
22 end if;
'||b.unit*
23 end if;
24 end loop;
25 close c;
26 end;
27 /
Name Address
yuva srivi
nithya
maya
city Unit
srivilliputur
Lakshmi nagar
housing board
Amount
100
100
sivakasi
sivakasi
jeeva RRR nagar sivaganagai
200
300
400
400
900
1600
PL/SQL procedure successfully completed.
PROGRAM FOR STUDENT GRADE CALCULATION
SQL> create table std(name varchar(10), rollno number(3),mark1 number(3), mark2
number(3), mark3 nu
mber(3));
Table created.
SQL> insert into std values('&name','&rollno','&mark1','&mark2','&mark3');
Enter value for name: gowri
Enter value for rollno: 101
Enter value for mark1: 78
Enter value for mark2: 89
Enter value for mark3: 99
old 1: insert into std values('&name','&rollno','&mark1','&mark2','&mark3')
new 1: insert into std values('gowri','101','78','89','99')
1 row created.
SQL> /
Enter value for name: prem
Enter value for rollno: 102
Enter value for mark1: 88
Enter value for mark2: 99
Enter value for mark3: 90
old 1: insert into std values('&name','&rollno','&mark1','&mark2','&mark3')
new 1: insert into std values('prem','102','88','99','90')
1 row created.
SQL> /
Enter value for name: ravathi
Enter value for rollno: 103
Enter value for mark1: 67
Enter value for mark2: 89
Enter value for mark3: 99
old 1: insert into std values('&name','&rollno','&mark1','&mark2','&mark3')
new 1: insert into std values('ravathi','103','67','89','99')
1 row created.
SQL> /
Enter value for name: arun
Enter value for rollno: 104
Enter value for mark1: 56
Enter value for mark2: 66
Enter value for mark3: 77
old 1: insert into std values('&name','&rollno','&mark1','&mark2','&mark3')
new 1: insert into std values('arun','104','56','66','77')
1 row created.
SQL> set serveroutput on;
SQL> declare
2 tot number;
3 average number;
4 cursor c is select * from std;
5 s std %ROWTYPE;
6 begin
7 open c;
8 dbms_output.put_line('Name
Grade');
Rollno Mark1
Mark2 Mark3
Total Average
9 loop
10 fetch c into s;
11 tot:=s.mark1+s.mark2+s.mark3;
12 average:=floor(tot/3);
13 if(c % notfound)then
14 exit;
15 else
16 if(s.mark1<50 or s.mark2<50 or s.mark3<50)then
17 dbms_output.put_line(s.name||' '||s.rollno||' '||s.mark1||' '||s.mark2||' '||s.mark3||
' '||tot||' '||average||' '||'F');
18 elsif(average>=90 and average<=100)then
19 dbms_output.put_line(s.name||' '||s.rollno||' '||s.mark1||' '||s.mark2||' '||s.mark3||
' '||tot||' '||average||' '||'S');
20 elsif(average>=80 and average<90)then
21 dbms_output.put_line(s.name||' '||s.rollno||' '||s.mark1||' '||s.mark2||' '||s.mark3||
' '||tot||' '||average||' '||'A+');
22 elsif(average>=70 and average<80)then
23 dbms_output.put_line(s.name||' '||s.rollno||' '||s.mark1||' '||s.mark2||' '||s.mark3||
' '||tot||' '||average||' '||'B');
24 elsif(average>=60 and average<70)then
25 dbms_output.put_line(s.name||' '||s.rollno||' '||s.mark1||' '||s.mark2||' '||s.mark3||
' '||tot||' '||average||' '||'C');
26 else
27 dbms_output.put_line(s.name||' '||s.rollno||' '||s.mark1||' '||s.mark2||' '||s.mark3||
' '||tot||' '||average||' '||'D');
28 end if;
29 end if;
30 end loop;
31 close c;
32 end;
33 /
Name
Rollno Mark1 Mark2 Mark3
gowri
101
78
89
99
266
88
A+
prem
102
88
99
90
277
92
S
ravathi 103
67
89
99
255
85
A+
arun
56
66
77
199
66
C
104
Total Average Grade
PL/SQL procedure successfully completed.
RESULT:
Thus the program to implement cursors was executed and output was verified successfully.
EX.NO:4
IMPLEMENTATION OF TRIGGERS
TRIGGER FOR DISPLAYING GRADE OF THE STUDENT
SQL> create table stdn(rollno number(3),name varchar(2),m1 number(3),m2 number(3),m3
number(3),tot num
ber(3),avrg number(3),result varchar(10));
Table created.
SQL> create or replace trigger t1 before insert on stdn
2 for each row
3 begin
4 :new.tot:=:new.m1+:new.m2+:new.m3;
5 :new.avrg:=:new.tot/3;
6 if(:new.m1>=50 and :new.m2>=50 and :new.m3>=50) then
7 :new.result:='pass';
8 else
9 :new.result:='Fail';
10 end if;
11 end;
12 /
Trigger created.
SQL> insert into stdn values(101,'SM',67,89,99,'','','');
1 row created.
SQL> select * from stdn;
ROLLNO NA
M1
M2
M3
TOT
AVRG RESULT
--------- -- --------- --------- --------- --------- --------- ---------101
SM
67
89
99
255
85
pass
PROGRAM TO INDICATE INVALID CONDITION USING TRIGGER
SQL> create table emp (name varchar(10),empno number(3),age number(3));
Table created.
SQL>
1 create or replace trigger t2 before insert on emp
2 for each row
3 when(new.age>100)
4 begin
5 RAISE_APPLICATION_ERROR(-20998,'INVALID ERROR');
6* end;
SQL> /
Trigger created.
SQL> insert into emp values('nithya',101,24);
1 row created.
SQL> insert into emp values('nithya',101,103);
insert into emp values('nithya',101,103)
*
ERROR at line 1:
ORA-20998: INVALID ERROR
ORA-06512: at "SCOTT.T2", line 2
ORA-04088: error during execution of trigger 'SCOTT.T2'
RESULT:
Thus triggers were implemented successfully.
EXNO:5
PROCEDURES AND FUNCTIONS
PROCEDURE TO INSERT NUMBER
SQL> create table emp1(id number(3),First_name varchar2(20));
Table created.
SQL> insert into emp1 values(101,'Nithya');
1 row created.
SQL> insert into emp1 values(102,'Maya');
1 row created.
SQL> select * from emp1;
ID FIRST_NAME
--------- -------------------101 Nithya
102 Maya
SQL> set serveroutput on;
SQL> create or replace
2 procedure insert_num(p_num number)is
3 begin
4 insert into emp1(id,First_name) values(p_num,user);
5 end insert_num;
6 /
Procedure created.
SQL> exec insert_num(3);
PL/SQL procedure successfully completed.
SQL> select * from emp1;
ID FIRST_NAME
--------- -------------------101 Nithya
102 Maya
103 SCOTT
FUNCTION TO FIND FACTORIAL
SQL> create or replace function fact(n number)
2 return number is
3 i number(10);
4 f number:=1;
5 begin
6 for i in 1..N loop
7 f:=f*i;
8 end loop;
9 return f;
10 end;
11 /
Function created.
SQL> select fact(2) from dual;
FACT(2)
--------2
RESULT:
Thus procedures and functions were implemented successfully.
EX.NO:6
IMPLEMENTATION OF EMBEDDED SQL
PL/SQL PROGRAM FOR BONUS CALCULATION
SQL> set serveroutput on;
SQL> declare
2 salary number;
3 bonus number;
4 begin
5 salary:=&sa;
6 if salary>5000 then
7 bonus:=salary*0.5;
8 else
9 bonus:=0;
10 end if;
11 dbms_output.put_line(bonus);
12 end;
13 /
Enter value for sa: 10000
old 5: salary:=&sa;
new 5: salary:=10000;
5000
PL/SQL procedure successfully completed.
PROGRAM FOR ARMSTRONG NUMBER
SQL> set serveroutput on;
SQL> declare
2 a number;
3 b number;
4 i number;
5 begin
6 i:=#
7 a:=i;
8 b:=0;
9 while a>0
10 loop
11 b:=b+power(mod(a,10),3);
12 a:=trunc(a/10);
13 end loop;
14 if b=i then
15 dbms_output.put_line(i||'IS AN ARMSTRONG NUMBER');
16 else
17 dbms_output.put_line(i||'IS NOT AN ARMSTRONG NUMBER');
18 end if;
19 end;
20 /
Enter value for num: 123
old 6: i:=#
new 6: i:=123;
123 IS NOT AN ARMSTRONG NUMBER
PL/SQL procedure successfully completed.
SQL> /
Enter value for num: 407
old 6: i:=#
new 6: i:=407;
407IS AN ARMSTRONG NUMBER
PL/SQL procedure successfully completed.
PROGRAM FOR MULTIPLICATION TABLE:
SQL> set serveroutput on;
SQL> declare
2 a number;
3 b number;
4 i number;
5 n number;
6 s number;
7 begin
8 a:=&ulimit;
9 b:=&llimit;
10 n:=&n;
11 for i in a..b loop
12 s:=i*n;
13 dbms_output.put_line(i||'*'||n||'='||s);
14 end loop;
15 end;
16 /
Enter value for ulimit: 1
old 8: a:=&ulimit;
new 8: a:=1;
Enter value for llimit: 10
old 9: b:=&llimit;
new 9: b:=10;
Enter value for n: 5
old 10: n:=&n;
new 10: n:=5;
1*5=5
2*5=10
3*5=15
4*5=20
5*5=25
6*5=30
7*5=35
8*5=40
9*5=45
10*5=50
PL/SQL procedure successfully completed.
RESULT:
Thus Embedded SQL was executed successfully.
EX NO:7
Database design using E-R model and Normalization
ER diagram:
Chen Notation
•
ORDER (OrderNum (key), OrderDate, SalesPerson)
ORDERITEMS (OrderNum (key)(fk) , ItemNum (key), PartNum, Quantity, Cost)
• In the above example, in the ORDERITEMS Relation: OrderNum is the Foreign
Key and OrderNum plus ItemNum is the Composite Key.
Chen Notation
In the ORDER Relation: OrderNum is the Key.
Representing Relationships
•
•
•
•
1:1 Relationships. The key of one relation is stored in the second relation.
Look at example queries to determine which key is queried most often.
1:N Relationships.
Parent - Relation on the "1" side.
Child - Relation on the "Many" side.
Represent each Entity as a relation.
Copy the key of the parent into the child relation.
CUSTOMER (CustomerID (key), Name, Address, ...)
ORDER (OrderNum (key), OrderDate, SalesPerson, CustomerID (fk))
•
•
M:N Relationships. Many to Many relationships can not be directly implemented in
relations.
Solution: Introduce a third Intersection relation and copy keys from original two
relations.
Chen Notation
•
•
SUPPLIER (SupplierID (key), FirmName, Address, ...)
COMPONENT (CompID (key), Description, ...)
SUPPLIER_COMPONENT (SupplierID (key), CompID (key))
Note that this can also be shown in the ER diagram. Also, look for potential added
attributes in the intersection relation.
RESULT:
Thus the ER Database design using E-R model and Normalization was implemented
successfully.
___________________________________________________________________________
EX NO: 8
DATABASE DESIGN AND IMPLEMENTATION PAY ROLL
PROCESSING
STEPS:
1. Create a database for payroll processing which request the using SQL
2. Establish ODBC connection
3. In the administrator tools open data source ODBC
4. Click add button and select oracle in ORA home 90, click finish
5. A window will appear given the data source home as oracle and select TNS source name as
lion and give the used id as SWTT
6. ADODC CONTROL FOR SALARY FORM:7. The above procedure must be follow except the table , A select the table as salary
8. Write appropriate Program in form each from created in VB from each from created in VB
form project.
SQL>create table emp(eno number primary key,enamr varchar(20),age number,addr
varchar(20),DOB date,phno number(10));
Table created.
SQL>create table salary(eno number,edesig varchar(10),basic number,da number,hra
number,pf number,mc number,met number,foreign key(eno) references emp);
Table created.
TRIGGER to calculate DA,HRA,PF,MC
SQL> create or replace trigger employ
2 after insert on salary
3 declare
4 cursor cur is select eno,basic from salary;
5 begin
6 for cur1 in cur loop
7 update salary set
8 hra=basic*0.1,da=basic*0.07,pf=basic*0.05,mc=basic*0.03 where hra=0; 9 end loop;
10 end;
11 / Trigger created.
PROGRAM FOR FORM 1
Private Sub emp_Click() Form
2.Show End
Sub Private
Sub exit_Click()
Unload Me
End Sub Private
Sub salary_Click()
Form3.Show
End Sub
PROGRAM FOR FORM 2
Private Sub add_Click()
Adodc1.Recordset.AddNew MsgBox "Record added"
End Sub Private
Sub clear_Click()
Text1.Text = ""
Text2.Text = ""
Text3.Text = ""
Text4.Text = ""
Text5.Text = ""
Text6.Text = ""
End Sub Private Sub delte_Click()
Adodc1.Recordset.Delete MsgBox "Record Deleted"
If Adodc1.Recordset.EOF = True
Then Adodc1.Recordset.MovePrevious
End If
End
Sub Private Sub exit_Click()
Unload Me
End Sub
Private Sub main_Click()
Form1.Show
End Sub
Private Sub modify_Click()
Adodc1.Recordset.Update
End Sub
PROGRAM FOR FORM 3
Private Sub add_Click()
Adodc1.Recordset.AddNew MsgBox "Record added"
End Sub
Private Sub
clear_Click()
Text1.Text = ""
Text2.Text = ""
Text3.Text = ""
Text4.Text = ""
Text5.Text = ""
Text6.Text = ""
End Sub
Private Sub delte_Click()
Adodc1.Recordset.Delete MsgBox "Record Deleted"
If Adodc1.Recordset.EOF = True
Then Adodc1.Recordset.MovePrevious
End If
End Sub
Private Sub exit_Click()
Unload Me
End Sub
Private Sub main_Click()
Form1.Show
End Sub
Private Sub
modify_Click()
Adodc1.Recordset.Update
End Sub
Output:
RESULT:
Thus payroll system was designed and implemented successfully.
__________________________________________________________________________
EX No:9
DESIGN AND IMPLEMENTATION OF BANKING
SYSTEM
___________________________________________________________________________
DETAILS OF THE STEP
1.Create the DB for banking system source request the using SQL
2.Establishing ODBC connection
3.Click add button and select oracle in ORA home 90 click finished
4.A window will appear give the data source name as oracle and give the user id as scott
5.Now click the test connection a window will appear with server and user name give user as
scott and password tiger Click ok
6.VISUAL BASIC APPLICATION: Create standard exe project in to and design ms from in request format
To add ADODC project select component and check ms ADO data control click ok
Now the control is added in the tool book
Create standard exe project in to and design ms from in request format
7ADODC CONTEOL FOR ACCOUNT FROM:- Click customs and property window and
window will appear and select ODBC data source name as oracle and click apply as the some
window.
CREATE A TABLE IN ORACLE
SQL>create table account(cname varchar(20),accno number(10),balance number);
Table Created
SQL> insert into account values('&cname',&accno,&balance);
Enter value for cname: Mathi
Enter value for accno: 1234
Enter value for balance: 10000
old 1: insert into account values('&cname',&accno,&balance)
new 1: insert into emp values('Mathi',1234,10000) 1 row created.
SOURCE CODE FOR FORM1
Private Sub ACCOUNT_Click()
Form2.Show
End Sub
Private Sub
EXIT_Click()
Unload Me
End Sub
Private Sub
TRANSACTION_Click()
Form3.Show
End Sub
SOURCE CODE FOR FORM 2
Private Sub CLEAR_Click()
Text1.Text = ""
Text2.Text = ""
Text3.Text = ""
End Sub
Private Sub
DELETE_Click()
Adodc1.Recordset.DELETE MsgBox "record deleted"
Adodc1.Recordset.MoveNext If Adodc1.Recordset.EOF = True Then
Adodc1.Recordset.MovePrevious
End If
End Sub
Private Sub EXIT_Click()
Unload Me
End Sub
Private Sub
HOME_Click()
Form1.Show
End Sub
Private Sub
INSERT_Click() Adodc1.Recordset.AddNew
End Sub
Private Sub
TRANSACTION_Click()
Form3.Show
End Sub
Private Sub UPDATE_Click() Adodc1.Recordset.UPDATE MsgBox "record updated
successfully"
End Sub
SOURCE CODE FOR FORM 3
Private Sub ACCOUNT_Click()
Form2.Show
End Sub
Private Sub CLEAR_Click()
Text1.Text = ""
Text2.Text = ""
End Sub
Private Sub
DEPOSIT_Click()
Dim s As String s = InputBox("enter the amount to be deposited")
Text2.Text = Val(Text2.Text) + Val(s) A = Text2.Text MsgBox "CURRENT BALANCE IS
Rs" + Str(A) Adodc1.Recordset.Save Adodc1.Recordset.UPDATE
End Sub
Private Sub
EXIT_Click()
Unload Me
End Sub
Private Sub
HOME_Click()
Form1.Show End
Sub Private Sub
WITHDRAW_Click()
Dim s As String s = InputBox("enter the amount to be deleted")
Text2.Text = Val(Text2.Text) - Val(s) A = Text2.Text MsgBox "current balance is Rs" +
Str(A)
Adodc1.Recordset.Save
Adodc1.Recordset.UPDATE
End Sub
Result:
Thus the banking system was designed and implemented successfully.
__________________________________________________________________________________
EX NO:10
DESIGN AND IMPLEMENTATION OF LIBRARY
MANAGEMENT SYSTEM
STEPS:
1. Create a database for library which request the using SQL
2. Establish ODBC connection
3. In the administrator tools open data source ODBC
4. Click add button and select oracle in ORA home 90, click finish
5. A window will appear given the data source home as oracle and select TNS source name as
lion and give the used id as SWTT
6. ADODC CONTROL FOR library FORM:7. The above procedure must be follow except the table , A select the table as library
8. Write appropriate Program in form each from created in VB from each from created in VB
form project.
Relational Database Schema
Status
code
description
Media
media_id
code
Book
ISBN
title
BookMedia
media_id
ISBN
Customer
ID
name
addr
Card
num
fines
ID
Checkout
media_id
num
since
Location
name
addr
phone
Hold
media_id
num
name
until
queue
Stored_In
media_id
name
Librarian
eid
ID
Pay
name
since
Video
title
year
director rating
price
VideoMedia
media_id
title
year
author
year
dewey
price
DOB
phone
username password
until
CREATE TABLE Status ( code INTEGER, description CHAR(30), PRIMARY KEY
(code) );
CREATE TABLE Media( media_id INTEGER, code INTEGER, PRIMARY KEY
(media_id),
FOREIGN KEY (code) REFERENCES Status );
CREATE TABLE Book(ISBNCHAR(14), title CHAR(128), author CHAR(64),
year INTEGER, dewey INTEGER, price REAL, PRIMARY KEY (ISBN) );
CREATE TABLE BookMedia( media_id INTEGER, ISBN CHAR(14), PRIMARY
KEY (media_id),
FOREIGN KEY (media_id) REFERENCES Media,
FOREIGN KEY (ISBN) REFERENCES Book);
CREATE TABLE Customer( ID INTEGER, name CHAR(64), addr CHAR(256),
DOB CHAR(10),
phone CHAR(30), username CHAR(16), password CHAR(32), PRIMARY KEY
(ID),
UNIQUE (username) );
CREATE TABLE Card( num INTEGER, fines REAL, ID INTEGER, PRIMARY
KEY (num),
FOREIGN KEY (ID) REFERENCES Customer );
CREATE TABLE Checkout( media_id INTEGER, num INTEGER, since CHAR(10),
until CHAR(10), PRIMARY KEY (media_id),
FOREIGN KEY (media_id) REFERENCES Media,
FOREIGN KEY (num) REFERENCES Card );
CREATE TABLE Location( name CHAR(64), addr CHAR(256), phone CHAR(30),
PRIMARY KEY (name) );
CREATE TABLE Hold( media_id INTEGER, num INTEGER, name CHAR(64),
until CHAR(10),
queue INTEGER, PRIMARY KEY (media_id, num),
FOREIGN KEY (name) REFERENCES Location,
FOREIGN KEY (num) REFERENCES Card,
FOREIGN KEY (media_id) REFERENCES Media );
CREATE TABLE Stored_In( media_id INTEGER, name char(64), PRIMARY KEY
(media_id),
FOREIGN KEY (media_id) REFERENCES Media ON DELETE CASCADE,
FOREIGN KEY (name) REFERENCES Location );
CREATE TABLE Librarian( eid INTEGER, ID INTEGER NOT NULL, Pay REAL,
Loc_name CHAR(64) NOT NULL, PRIMARY KEY (eid),
FOREIGN KEY (ID) REFERENCES Customer ON DELETE CASCADE,
FOREIGN KEY (Loc_name) REFERENCES Location(name) );
CREATE TABLE Video( title CHAR(128), year INTEGER, director CHAR(64),
rating REAL, price REAL, PRIMARY KEY (title, year) );
CREATE TABLE VideoMedia( media_id INTEGER, title CHAR(128), year
INTEGER,
PRIMARY KEY (media_id), FOREIGN KEY (media_id) REFERENCES Media,
FOREIGN KEY (title, year) REFERENCES Video );
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password)
VALUES
(60201, 'Jason L. Gray', '2087 Timberbrook Lane, Gypsum, CO 81637',
'09/09/1958', '970-273-9237', 'jlgray', 'password1');
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password)
VALUES
(89682, 'Mary L. Prieto', '1465 Marion Drive, Tampa, FL 33602',
'11/20/1961', '813-487-4873', 'mlprieto', 'password2');
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password)
VALUES
(64937, 'Roger Hurst', '974 Bingamon Branch Rd, Bensenville, IL 60106',
'08/22/1973', '847-221-4986', 'rhurst', 'password3');
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password)
VALUES
(31430, 'Warren V. Woodson', '3022 Lords Way, Parsons, TN 38363',
'03/07/1945', '731-845-0077', 'wvwoodson', 'password4');
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password)
VALUES
(79916, 'Steven Jensen', '93 Sunny Glen Ln, Garfield Heights, OH 44125',
'12/14/1968', '216-789-6442', 'sjensen', 'password5');
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password)
VALUES
(93265, 'David Bain', '4356 Pooh Bear Lane, Travelers Rest, SC 29690',
'08/10/1947', '864-610-9558', 'dbain', 'password6');
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password)
VALUES
(58359, 'Ruth P. Alber', '3842 Willow Oaks Lane, Lafayette, LA 70507',
'02/18/1976', '337-316-3161', 'rpalber', 'password7');
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password)
VALUES
(88564, 'Sally J. Schilling', '1894 Wines Lane, Houston, TX 77002',
'07/02/1954', '832-366-9035', 'sjschilling', 'password8');
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password)
VALUES
(57054, 'John M. Byler', '279 Raver Croft Drive, La Follette, TN 37766',
'11/27/1954', '423-592-8630', 'jmbyler', 'password9');
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password)
VALUES
(49312, 'Kevin Spruell', '1124 Broadcast Drive, Beltsville, VA 20705',
'03/04/1984', '703-953-1216', 'kspruell', 'password10');
INSERT INTO Card(num, fines, ID) VALUES ( 5767052, 0.0, 60201);
INSERT INTO Card(num, fines, ID) VALUES ( 5532681, 0.0, 60201);
INSERT INTO Card(num, fines, ID) VALUES ( 2197620, 10.0, 89682);
INSERT INTO Card(num, fines, ID) VALUES ( 9780749, 0.0, 64937);
INSERT INTO Card(num, fines, ID) VALUES ( 1521412, 0.0, 31430);
INSERT INTO Card(num, fines, ID) VALUES ( 3920486, 0.0, 79916);
INSERT INTO Card(num, fines, ID) VALUES ( 2323953, 0.0, 93265);
INSERT INTO Card(num, fines, ID) VALUES ( 4387969, 0.0, 58359);
INSERT INTO Card(num, fines, ID) VALUES ( 4444172, 0.0, 88564);
INSERT INTO Card(num, fines, ID) VALUES ( 2645634, 0.0, 57054);
INSERT INTO Card(num, fines, ID) VALUES ( 3688632, 0.0, 49312);
INSERT INTO Location(name, addr, phone) VALUES ('Texas Branch',
'4832 Deercove Drive, Dallas, TX 75208', '214-948-7102');
INSERT INTO Location(name, addr, phone) VALUES ('Illinois Branch',
'2888 Oak Avenue, Des Plaines, IL 60016', '847-953-8130');
INSERT INTO Location(name, addr, phone) VALUES ('Louisiana Branch',
'2063 Washburn Street, Baton Rouge, LA 70802', '225-346-0068');
INSERT INTO Status(code, description) VALUES (1, 'Available');
INSERT INTO Status(code, description) VALUES (2, 'In Transit');
INSERT INTO Status(code, description) VALUES (3, 'Checked Out');
INSERT INTO Status(code, description) VALUES (4, 'On Hold');
INSERT INTO Media( media_id, code) VALUES (8733, 1);
INSERT INTO Media( media_id, code) VALUES (9982, 1);
INSERT INTO Media( media_id, code) VALUES (3725, 1);
INSERT INTO Media( media_id, code) VALUES (2150, 1);
INSERT INTO Media( media_id, code) VALUES (4188, 1);
INSERT INTO Media( media_id, code) VALUES (5271, 2);
INSERT INTO Media( media_id, code) VALUES (2220, 3);
INSERT INTO Media( media_id, code) VALUES (7757, 1);
INSERT INTO Media( media_id, code) VALUES (4589, 1);
INSERT INTO Media( media_id, code) VALUES (5748, 1);
INSERT INTO Media( media_id, code) VALUES (1734, 1);
INSERT INTO Media( media_id, code) VALUES (5725, 1);
INSERT INTO Media( media_id, code) VALUES (1716, 4);
INSERT INTO Media( media_id, code) VALUES (8388, 1);
INSERT INTO Media( media_id, code) VALUES (8714, 1);
INSERT INTO Book(ISBN, title, author, year, dewey, price) VALUES
('978-0743289412', 'Lisey''s Story', 'Stephen King',
2006, 813, 10.0);
INSERT INTO Book(ISBN, title, author, year, dewey, price) VALUES
('978-1596912366', 'Restless: A Novel', 'William Boyd',
2006, 813, 10.0);
INSERT INTO Book(ISBN, title, author, year, dewey, price) VALUES
('978-0312351588', 'Beachglass', 'Wendy Blackburn',
2006, 813, 10.0);
INSERT INTO Book(ISBN, title, author, year, dewey, price) VALUES
('978-0156031561', 'The Places In Between', 'Rory Stewart',
2006, 910, 10.0);
INSERT INTO Book(ISBN, title, author, year, dewey, price) VALUES
('978-0060583002', 'The Last Season', 'Eric Blehm',
2006, 902, 10.0);
INSERT INTO Book(ISBN, title, author, year, dewey, price) VALUES
('978-0316740401', 'Case Histories: A Novel', 'Kate Atkinson',
2006, 813, 10.0);
INSERT INTO Book(ISBN, title, author, year, dewey, price) VALUES
('978-0316013949', 'Step on a Crack', 'James Patterson, et al.',
2007, 813, 10.0);
INSERT INTO Book(ISBN, title, author, year, dewey, price) VALUES
('978-0374105235', 'Long Way Gone: Memoirs of a Boy Soldier',
'Ishmael Beah', 2007, 916, 10.0);
INSERT INTO Book(ISBN, title, author, year, dewey, price) VALUES
('978-0385340229', 'Sisters', 'Danielle Steel', 2006, 813, 10.0);
INSERT INTO BookMedia(media_id, ISBN) VALUES (8733, '978-0743289412');
INSERT INTO BookMedia(media_id, ISBN) VALUES (9982, '978-1596912366');
INSERT INTO BookMedia(media_id, ISBN) VALUES (3725, '978-1596912366');
INSERT INTO BookMedia(media_id, ISBN) VALUES (2150, '978-0312351588');
INSERT INTO BookMedia(media_id, ISBN) VALUES (4188, '978-0156031561');
INSERT INTO BookMedia(media_id, ISBN) VALUES (5271, '978-0060583002');
INSERT INTO BookMedia(media_id, ISBN) VALUES (2220, '978-0316740401');
INSERT INTO BookMedia(media_id, ISBN) VALUES (7757, '978-0316013949');
INSERT INTO BookMedia(media_id, ISBN) VALUES (4589, '978-0374105235');
INSERT INTO BookMedia(media_id, ISBN) VALUES (5748, '978-0385340229');
INSERT INTO Checkout(media_id, num, since, until) VALUES
(2220, 9780749, '02/15/2007', '03/15/2007');
INSERT INTO Video(title, year, director, rating, price) VALUES
('Terminator 2: Judgment Day', 1991, 'James Cameron', 8.3, 20.0);
INSERT INTO Video(title, year, director, rating, price) VALUES
('Raiders of the Lost Ark', 1981, 'Steven Spielberg', 8.7, 20.0);
INSERT INTO Video(title, year, director, rating, price) VALUES
('Aliens', 1986, 'James Cameron', 8.3, 20.0);
INSERT INTO Video(title, year, director, rating, price) VALUES
('Die Hard', 1988, 'John McTiernan', 8.0, 20.0);
INSERT INTO VideoMedia(media_id, title, year) VALUES
( 1734, 'Terminator 2: Judgment Day', 1991);
INSERT INTO VideoMedia(media_id, title, year) VALUES
( 5725, 'Raiders of the Lost Ark', 1981);
INSERT INTO VideoMedia(media_id, title, year) VALUES
( 1716, 'Aliens', 1986);
INSERT INTO VideoMedia(media_id, title, year) VALUES
( 8388, 'Aliens', 1986);
INSERT INTO VideoMedia(media_id, title, year) VALUES
( 8714, 'Die Hard', 1988);
INSERT INTO Hold(media_id, num, name, until, queue) VALUES
(1716, 4444172, 'Texas Branch', '02/20/2008', 1);
INSERT INTO Librarian(eid, ID, pay, Loc_name) Values
(2591051, 88564, 30000.00, 'Texas Branch');
INSERT INTO Librarian(eid, ID, pay, Loc_name) Values
(6190164, 64937, 30000.00, 'Illinois Branch');
INSERT INTO Librarian(eid, ID, pay, Loc_name) Values
(1810386, 58359, 30000.00, 'Louisiana Branch');
INSERT INTO Stored_In(media_id, name) VALUES(8733, 'Texas Branch');
INSERT INTO Stored_In(media_id, name) VALUES(9982, 'Texas Branch');
INSERT INTO Stored_In(media_id, name) VALUES(1716, 'Texas Branch');
INSERT INTO Stored_In(media_id, name) VALUES(1734, 'Texas Branch');
INSERT INTO Stored_In(media_id, name) VALUES(4589, 'Texas Branch');
INSERT INTO Stored_In(media_id, name) VALUES(4188, 'Illinois Branch');
INSERT INTO Stored_In(media_id, name) VALUES(5271, 'Illinois Branch');
INSERT INTO Stored_In(media_id, name) VALUES(3725, 'Illinois Branch');
INSERT INTO Stored_In(media_id, name) VALUES(8388, 'Illinois Branch');
INSERT INTO Stored_In(media_id, name) VALUES(5748, 'Illinois Branch');
INSERT INTO Stored_In(media_id, name) VALUES(2150, 'Louisiana Branch');
INSERT INTO Stored_In(media_id, name) VALUES(8714, 'Louisiana Branch');
INSERT INTO Stored_In(media_id, name) VALUES(7757, 'Louisiana Branch');
INSERT INTO Stored_In(media_id, name) VALUES(5725, 'Louisiana Branch');
SELECT C.ID, C.name, C.addr, C.DOB, C.phone, C.username,
nvl((SELECT 'Librarian'
FROM Librarian L
WHERE L.ID = C.ID), 'Customer') AS role
FROM Customer C
WHERE C.username = AND C.password = ;
/* Book search for customers */
SELECT B.ISBN, B.title, B.author, B.year,
(SELECT COUNT(*)
FROM BookMedia BM
WHERE BM.ISBN = B.ISBN AND BM.code = 1) AS num_available
FROM Book B
WHERE B.title LIKE '%%' AND B.author LIKE '%%' AND
B.year <= AND B.year >= ;
/* Find all copies of a book (used for placing holds or viewing detailed
information). */
SELECT BM.media_id, S.description,
nvl((SELECT SI.name
FROM Stored_In SI
WHERE SI.media_id = BM.media_id), 'none') AS name
FROM BookMedia BM, Media M, Status S
WHERE BM.ISBN = AND M.media_id = BM.media_id AND S.code =
M.code;
/* Video search for customers */
SELECT V.title, V.year, V.director, V.rating
(SELECT COUNT(*)
FROM VideoMedia VM
WHERE VM.ID = V.ID AND VM.code = 1) AS num_available
FROM Video V
WHERE V.title LIKE '%%' AND V.year <= AND V.year <=
AND V.director LIKE '%%' AND V.rating >= ;
/* Find all copies of a video (used for placing holds or viewing detailed
information). */
SELECT VM.media_id, S.description,
nvl((SELECT SI.name
FROM Stored_In SI
WHERE SI.media_id = VM.media_id), 'none') AS name
FROM VideoMedia VM, Media M, Status S
WHERE VM.title = AND VM.year = AND
M.media_id = VM.media_id AND S.code = M.code;
/* Find the status of a given media item */
SELECT S.description
FROM Status S, Media M
WHERE S.code = M.code AND M.media_id = ;
/* Create a new Hold */
INSERT INTO Hold(media_id, num, name, until, queue) VALUES
(, , , ,
nvl((SELECT MAX(H.queue)
FROM Hold H
WHERE H.media_id = ), 0) + 1 );
/* Cancel Hold, Step 1: Remove the entry from hold */
DELETE FROM Hold
WHERE media_id = AND num =
/* Cancel Hold, Step 2: Update queue for this item */
UPDATE Hold
SET queue = queue-1
WHERE media_id = AND queue > ;
/* Functions needed to view information about a customer */
/* View the customer's card(s) */
SELECT CR.num, CR.fines
FROM Card CR
WHERE CR.ID = ;
/* View media checked out on a given card */
SELECT B.title, B.author, B.year, BM.media_id, CO.since, CO.until
FROM Checkout CO, BookMedia BM, Book B
WHERE CO.num = AND CO.media_id = BM.media_id AND B.ISBN =
BM.ISBN
UNION
SELECT V.title, V.director, V.year, VM.media_id, CO.since, CO.until
FROM Checkout CO, VideoMedia VM, Book B
WHERE CO.num = AND CO.media_id = VM.media_id AND
VM.title = V.title AND VM.year = V.year;
/* View media currently on hold for a given card */
SELECT B.title, B.author, B.year, BM.media_id, H.until, H.queue, SI.name
FROM Hold H, BookMedia BM, Book B, Stored_In SI
WHERE H.num = AND H.media_id = BM.media_id AND B.ISBN =
BM.ISBN
AND SI.media_id = H.media_id
UNION
SELECT V.title, V.director, V.year, VM.media_id, H.until, H.queue, SI.name
FROM Hold H, VideoMedia VM, Book B, Stored_In SI
WHERE H.num = AND H.media_id = VM.media_id AND
VM.title = V.title AND VM.year = V.year AND SI.media_id = H.media_id;
/* View the total amount of fines the customer has to pay */
SELECT SUM(CR.fines)
FROM Card CR
WHERE CR.ID = ;
/* *\
Functions reserved for librarians
\* */
/* Add new customer */
INSERT INTO Customer(ID, name, addr, DOB, phone, username, password) VALUES
(, , , , ,
, , );
/* Find a customer */
SELECT C.ID, C.name, C.addr, C.DOB, C.phone, C.username,
nvl((SELECT 'Librarian'
FROM Librarian L
WHERE L.ID = C.ID), 'Customer') AS role
FROM Customer C
WHERE C.username = AND C.name LIKE '%%';
/* Add new card and assign it to a customer */
INSERT INTO Card(num, fines, ID) VALUES ( , 0, );
/* Create an entry in Checkout */
INSERT INTO Checkout(media_id, num, since, until) VALUES
(, , , );
/* Remove the entry for Stored_In */
DELETE FROM Stored_In
WHERE media_id = ;
/* Change the status code of the media */
UPDATE Media
SET code =
WHERE media_id = ;
/* Remove the entry from Checkout */
DELETE FROM Checkout
WHERE media_id = ;
/* Create the entry in Stored_In */
INSERT INTO Stored_In(media_id, name) VALUES (, );
/* Find the next Hold entry for a given media */
SELECT H.num, H.name, H.until
FROM Hold H
WHERE H.queue = 1 AND H.media_id = ;
/* Change the Stored_In entry to the target library branch */
UPDATE Stored_In
SET name =
WHERE media_id = ;
/* Find the customer that should be notified about book arrival */
SELECT C.name, C.phone, CR.num
FROM Customer C, Card CR, Hold H
WHERE H.queue = 1 AND H.name = AND H.media_id = AND
CR.num = H.num AND C.ID = CR.ID;
/* Add a new entry into the Book table */
INSERT INTO Book(ISBN, title, author, year, dewey, price) VALUES
(, , , , ,
);
/* Add a new entry into the Video table */
INSERT INTO Video(title, year, director, rating, price) VALUES
(, , , , );
/* Add a new Media object */
INSERT INTO Media( media_id, code) VALUES (, 1);
/* Add a new BookMedia object */
INSERT INTO BookMedia(media_id, ISBN) VALUES (, );
/* Add a new VideoMedia object */
INSERT INTO VideoMedia(media_id, title, year) VALUES
(, , );
/* Remove an entry from the BookMedia table */
DELETE FROM BookMedia
WHERE media_id = ;
/* Remove an entry from the VideoMedia table */
DELETE FROM VideoMedia
WHERE media_id = ;
/* Remove an entry from the Media table */
DELETE FROM Media
WHERE media_id = ;
/* Remove an entry from the Book table */
DELETE FROM Book
WHERE ISBN = ;
/* Remove an entry from the Video table */
DELETE FROM Video
WHERE title = AND year = ;
/* Update the customer's fines */
UPDATE Card
SET fines =
WHERE num =
___________________________________________________________________________
EX NO:10
DESIGN AND IMPLEMENTATION OF STUDENT
MANAGEMENT SYSTEM
___________________________________________________________________________
STEPS:
1. Create a database for library which request the using SQL
2. Establish ODBC connection
3. In the administrator tools open data source ODBC
4. Click add button and select oracle in ORA home 90, click finish
5. A window will appear given the data source home as oracle and select TNS source name as
lion and give the used id as SWTT
6. ADODC CONTROL FOR library FORM:7. The above procedure must be follow except the table , A select the table as library
8. Write appropriate Program in form each from created in VB from each from created in VB
form project.
i.ADMINISTRATOR Table
This table holds the profile information of the application super users otherwise known as
system
administrators. They have control of the software meaning that they can perform additional
tasks that
other users cannot ordinarily perform. Every software of this nature has such users and this
one is no
exception. The table contains the following columns; ADMIN_ID, TITLE, FRIST_NAME,
LAST_NAME, and DEPARMENT_ID. The column ADMIN_ID is the primary key column
(primary
key disallows duplicate values and nulls in a column) every table should have a primary key
column,
as this acts like table indexing.
ii. ALL_COURCES Table
This table keeps the courses offered by students in different departments in the school. The
table
contains the following columns; COURCE_ID, COURCE_TITLE, and COURCE_CODE.
The
COURCE_ID is the primary key column.
iii. APP_USER_A Table
This table contains application login details for application administrators. The table columns
are;
USRNAME, PASSWD and ADMIN_ID. The column ADMIN_ID is the primary key
column.
iv. APP_USER_L Table
This table contains application login details for application lecturers. The table columns are;
USRNAME, PASSWD and LECTURER_ID. The column LECTURER_ID is the primary
key
column.
v. APP_USER_S Table
This table contains application login details for application students. The table columns are;
USRNAME, PASSWD and MATRIG_NO. The column MATRIG_NO is the primary key
column.
vi. DEPARTMENTS Table
This table holds information about the schools departments. The table contains the following
columns;
DEPARTMENT_ID and DEPARTMENT_NAME. The column DEPARTMENT_ID is the
primary
key column.
vii. GRADES Table
This is more like the main table in the database as all other tables relate to this table directly
or in
some other way. This table holds students examination records. The table contains the
following
columns; GRADES_ID, SESSION1, REG_NUMBER, DEPARTMENT_ID, LEVEL1,
MATRIG_NO,
CREDIT_UNIT,
FRIST_NAME,
LAST_NAME,
COURCE_CODE,
GRADE,
SCORE, LECTURER_ID and GRADE_POINT. The column GRADES_ID is the primary
key
column.
viii. LECTURERS Table
This table holds the profile information of the application lecturers. The table contains the
following
columns; LECTURER_ID, TITLE, FRIST_NAME, LAST_NAME, and DEPARMENT_ID.
The
column LECTUTER_ID is the primary key column.
ix. REG_TABLE Table
This table contains student’s registration details i.e. if a student is registered for the semester
this table
is used to store that information. The table contains the following columns; REG_ID,
REG_NUMBER,
MATRIG_NO,
DEPARTMENT_ID and
FRIST_NAME,
LAST_NAME,
LEVEL1,
SESSION1. The column REG_ID is the primary key column.
x. STUDENTS Table
This table holds the profile information of the application students. The table contains the
following
columns; MATRIG_NO, TITLE, FRIST_NAME, LAST_NAME, and DEPARMENT_ID.
The
column MATRIG_NO is the primary key column.
RESULT:
Thus the student information system was designed and implemented successfully.
___________________________________________________________________________
EX NO:11
Automatic Backup of files and Recovery
___________________________________________________________________________
AIM:
To study about automatic backup of files and recovery.
INTRODUCTION:
Because data is the heart of the enterprise, it's crucial to protect it. And to protect
organization's data, one need to implement a data backup and recovery plan. Backing up files
can protect against accidental loss of user data, database corruption, hardware failures, and
even natural disasters. It's our job as an administrator to make sure that backups are
performed and that backup tapes are stored in a secure location.
Creating a Backup and Recovery Plan
Data backup is an insurance plan. Important files are accidentally deleted all the time.
Mission-critical data can become corrupt. Natural disasters can leave office in ruin. With a
solid backup and recovery plan, one can recover from any of these.
Figuring Out a Backup Plan
It takes time to create and implement a backup and recovery plan. We'll need to figure out
what data needs to be backed up, how often the data should be backed up, and more. To help
we create a plan, consider the following:
•
•
•
•
•
How important is the data on systems? The importance of data can go a long way in
helping to determine if one need to back it up—as well as when and how it should be
backed up. For critical data, such as a database, one'll want to have redundant backup
sets that extend back for several backup periods. For less important data, such as daily
user files, we won't need such an elaborate backup plan, but 'll need to back up the data
regularly and ensure that the data can be recovered easily.
What type of information does the data contain? Data that doesn't seem important to we
may be very important to someone else. Thus, the type of information the data contains
can help we determine if we need to back up the data—as well as when and how the
data should be backed up.
How often does the data change? The frequency of change can affect our decision on
how often the data should be backed up. For example, data that changes daily should be
backed up daily.
How quickly do we need to recover the data? Time is an important factor in creating a
backup plan. For critical systems, we may need to get back online swiftly. To do this,
we may need to alter our backup plan.
Do we have the equipment to perform backups? We must have backup hardware to
perform backups. To perform timely backups, we may need several backup devices and
•
•
•
several sets of backup media. Backup hardware includes tape drives, optical drives, and
removable disk drives. Generally, tape drives are less expensive but slower than other
types of drives.
Who will be responsible for the backup and recovery plan? Ideally, someone should be
a primary contact for the organization's backup and recovery plan. This person may also
be responsible for performing the actual backup and recovery of data.
What is the best time to schedule backups? Scheduling backups when system use is as
low as possible will speed the backup process. However, we can't always schedule
backups for off-peak hours. So we'll need to carefully plan when key system data is
backed up.
Do we need to store backups off-site? Storing copies of backup tapes off-site is
essential to recovering our systems in the case of a natural disaster. In our off-site
storage location, we should also include copies of the software we may need to install to
reestablish operational systems.
The Basic Types of Backup
There are many techniques for backing up files. The techniques use will depend on the type
of data we're backing up, how convenient we want the recovery process to be, and more.
If we view the properties of a file or directory in Windows Explorer, we'll note an attribute
called Archive. This attribute often is used to determine whether a file or directory should be
backed up. If the attribute is on, the file or directory may need to be backed up. The basic
types of backups we can perform include
•
•
•
•
•
Normal/full backups All files that have been selected are backed up, regardless of the
setting of the archive attribute. When a file is backed up, the archive attribute is cleared.
If the file is later modified, this attribute is set, which indicates that the file needs to be
backed up.
Copy backups All files that have been selected are backed up, regardless of the setting
of the archive attribute. Unlike a normal backup, the archive attribute on files isn't
modified. This allows us to perform other types of backups on the files at a later date.
Differential backups Designed to create backup copies of files that have changed since
the last normal backup. The presence of the archive attribute indicates that the file has
been modified and only files with this attribute are backed up. However, the archive
attribute on files isn't modified. This allows to perform other types of backups on the
files at a later date.
Incremental backups Designed to create backups of files that have changed since the
most recent normal or incremental backup. The presence of the archive attribute
indicates that the file has been modified and only files with this attribute are backed up.
When a file is backed up, the archive attribute is cleared. If the file is later modified,
this attribute is set, which indicates that the file needs to be backed up.
Daily backups Designed to back up files using the modification date on the file itself. If
a file has been modified on the same day as the backup, the file will be backed up. This
technique doesn't change the archive attributes of files.
In we backup plan we'll probably want to perform full backups on a weekly basis and
supplement this with daily, differential, or incremental backups. We may also want to create
an extended backup set for monthly and quarterly backups that includes additional files that
aren't being backed up regularly.
Tip We'll often find that weeks or months can go by before anyone notices that a file or data
source is missing. This doesn't mean the file isn't important. Although some types of data
aren't used often, they're still needed. So don't forget that we may also want to create extra
sets of backups for monthly or quarterly periods, or both, to ensure that we can recover
historical data over time.
Differential and Incremental Backups
The difference between differential and incremental backups is extremely important. To
understand the distinction between them. As it shows, with differential backups we back up
all the files that have changed since the last full backup (which means that the size of the
differential backup grows over time). With incremental backups, we only back up files that
have changed since the most recent full or incremental backup (which means the size of the
incremental backup is usually much smaller than a full backup).
Once we determine what data we're going to back up and how often, we can select backup
devices and media that support these choices. These are covered in the next section.
Selecting Backup Devices and Media
Many tools are available for backing up data. Some are fast and expensive. Others are slow
but very reliable. The backup solution that's right for our organization depends on many
factors, including
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Capacity The amount of data that we need to back up on a routine basis. Can the backup
hardware support the required load given our time and resource constraints?
Reliability The reliability of the backup hardware and media. Can we afford to sacrifice
reliability to meet budget or time needs?
Extensibility The extensibility of the backup solution. Will this solution meet our needs
as the organization grows?
Speed The speed with which data can be backed up and recovered. Can we afford to
sacrifice speed to reduce costs?
Cost The cost of the backup solution. Does it fit into our budget?
Common Backup Solutions
Capacity, reliability, extensibility, speed, and cost are the issues driving our backup plan. If
we understand how these issues affect our organization, we'll be on track to select an
appropriate backup solution. Some of the most commonly used backup solutions include
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Tape drives Tape drives are the most common backup devices. Tape drives use
magnetic tape cartridges to store data. Magnetic tapes are relatively inexpensive but
aren't highly reliable. Tapes can break or stretch. They can also lose information over
time. The average capacity of tape cartridges ranges from 100 MB to 2 GB. Compared
with other backup solutions, tape drives are fairly slow. Still, the selling point is the low
cost.
Digital audio tape (DAT) drives DAT drives are quickly replacing standard tape drives
as the preferred backup devices. DAT drives use 4 mm and 8 mm tapes to store data.
DAT drives and tapes are more expensive than standard tape drives and tapes, but they
offer more speed and capacity. DAT drives that use 4 mm tapes can typically record
over 30 MB per minute and have capacities of up to 16 GB. DAT drives that use 8 mm
tapes can typically record more than 10 MB per minute and have capacities of up to 36
GB (with compression).
Auto-loader tape systems Auto-loader tape systems use a magazine of tapes to create
extended backup volumes capable of meeting the high-capacity needs of the enterprise.
With an auto-loader system, tapes within the magazine are automatically changed as
needed during the backup or recovery process. Most auto-loader tape systems use DAT
tapes. The typical system uses magazines with between 4 and 12 tapes. The main
drawback to these systems is the high cost.
Magnetic optical drives Magnetic optical drives combine magnetic tape technology
with optical lasers to create a more reliable backup solution than DAT. Magnetic optical
drives use 3.5-inch and 5.25-inch disks that look similar to floppies but are much
thicker. Typically, magnetic optical disks have capacities of between 1 GB and 4 GB.
Tape jukeboxes Tape jukeboxes are similar to auto-loader tape systems. Jukeboxes use
magnetic optical disks rather than DAT tapes to offer high-capacity solutions. These
systems load and unload disks stored internally for backup and recovery operations.
Their key drawback is the high cost.
Removable disks Removable disks, such as Iomega Jaz, are increasingly being used as
backup devices. Removable disks offer good speed and ease of use for a single drive or
single system backup. However, the disk drives and the removable disks tend to be
more expensive than standard tape or DAT drive solutions.
Disk drives Disk drives provide the fastest way to back up and restore files. With disk
drives, you can often accomplish in minutes what takes a tape drive hours. So when
business needs mandate a speedy recovery, nothing beats a disk drive. The drawbacks
to disk drives, however, are relatively high costs and less extensibility.
Before we can use a backup device, we must install it. When we install backup devices other
than standard tape and DAT drives, we need to tell the operating system about the controller
card and drivers that the backup device uses. For detailed information on installing devices
and drivers, see the section of Chapter 2 entitled "Managing Hardware Devices and Drivers."
Buying and Using Tapes
Selecting a backup device is an important step toward implementing a backup and recovery
plan. But we also need to purchase the tapes or disks, or both, that will allow we to
implement our plan. The number of tapes we need depends on how much data we'll be
backing up, how often we'll be backing up the data, and how long we'll need to keep
additional data sets.
The typical way to use backup tapes is to set up a rotation schedule whereby we rotate
through two or more sets of tapes. The idea is that we can increase tape longevity by reducing
tape usage and at the same time reduce the number of tapes we need to ensure that we have
historic data on hand when necessary.
One of the most common tape rotation schedules is the 10-tape rotation. With this rotation
schedule, we use 10 tapes divided into two sets of 5 (one for each weekday). As shown in
Table 14-2, the first set of tapes is used one week and the second set of tapes is used the next
week. On Fridays, full backups are scheduled. On Mondays through Thursdays, incremental
backups are scheduled. If we add a third set of tapes, we can rotate one of the tape sets to an
off-site storage location on a weekly basis.
Tip The 10-tape rotation schedule is designed for the 9 to 5 workers of the world. If we're in a
24 x 7 environment, we'll definitely want extra tapes for Saturday and Sunday. In this case,
use a 14-tape rotation with two sets of 7 tapes. On Sundays, schedule full backups. On
Mondays through Saturdays, schedule incremental backups.
RESULT:
Thus the study of automatic backup of files was performed successfully.
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