This document describes a database management system project for a departmental store. It includes creating tables for employees, customers, stock items, and sales. Data is inserted and various queries like select, update, delete, join and aggregate functions are demonstrated. Indexing, views, transactions with commit and rollback are also covered.

1. DATABASE MANEGEMENT SYSTEM PROJECT
DEPARTMENTAL STORE

2. DONE BY :
VIGNESH L [20ISR059]
NARENDRA PRASANTH K .P [20ISR030]
MOHANVIKAS R [20ISR027]

3. Create Table
create table employee(emp_id int,name varchar(40),age int,salary int);
Insert Table
insert into employee values(001,'vicky',25,50000);
insert into employee values(002,'narendra',28,40000);
insert into employee values(003,'mohan',24,30000);
insert into employee values(004,'dinesh',30,25000);

4. Displaying table
select * from employee;
>>>OUTPUT<<<
emp_id name age salary
1 vicky 25 50000
2 narendra 28 40000
3 mohan 24 30000
4 dinesh 30 25000

5. CUSTOMER TABLE:
Create table
create table customer(cus_id int,name
varchar(40),age int,city varchar(20));
Insert Table
insert into customervalues(101,'uthra',25,'erode’);
insert into customer values(102,'narendra',39,'erode’);
insert into customer values(103,'pravin',27,'gobi’);
insert into customer values(104,'vignesh',35,'perundurai');

6. Display Table:
select * from customer;
>>>OUTPUT<<<
cus_id name age city
101 uthra 25 erode
102 narendra 39 erode
103 Pravin 27 gobi
104 vignesh 35 perundurai

7. Stock Table
Create Table:
create table stock(item_id int,item_name
varchar(40),quantity varchar(20),stock_price float);
Insert Table
insert into stock values(108,'wheat','2kg',200.00);
insert into stock values(109,'powder','3kg',300.00);
insert into stock values(110,'tomoto','2kg',100.00);
insert into stock values(111,'rice','10kg',500.00);
insert into stock values(222,'oil','2lit',500.00);
insert into stock values(333,'sugar','10kg',400.00);
insert into stock values(444,'dhall','2kg',200.00);
insert into stock values(555,'tea_powder','2kg',500.00);
insert into stock values(666,'potato','3kg',100.00);
insert into stock values(777,'brown_sugar','4kg',200.00);
insert into stock values(888,'onion','5kg',200.00);
insert into stock values(999,'red_chilli','2kg',400.00);

8. Display Table:
select * from stock;
>>>OUTPUT<<<
item_id item_name quantity stock_price
108 wheat 20kg 2000
109 powder 30kg 3000
110 tomoto 20kg 1000
111 rice 100kg 5000
222 oil 20lit 5000
333 sugar 100kg 4000
444 dhall 20kg 2000
555 tea_powder 20kg 5000
666 potato 30kg 1000
777 brown_sugar 40kg 2000
888 onion 50kg 2000
999 red_chilli 20kg 4000

9. SALES TABLE
Create Table:
create table sales(emp_id int,cus_id int,name
varchar(10),item varchar(10),quantity varchar(10),total_amt
varchar(15));
Insert Table:
insert into sales values(001,101,'uthra','rice','1kg','Rs.50’);
insert into sales values(002,102,'narendra','wheat','2kg','Rs.200’);
insert into sales values(003,103,'pravin','oil','1ltr','Rs.250’);
insert into sales values(004,104,'vignesh','sugar','1.5kg','Rs.60');

10. display table:
select * from sales;
>>>OUTPUT<<<
emp_id cus_id name item quantity total_amt
1 101 uthra rice 1kg Rs.50
2 102 narendra wheat 2kg Rs.200
3 103 pravin oil 1ltr Rs.250
4 104 vignesh sugar 1.5kg Rs.60

11. UPDATE TABLE:
update sales set total_amt='100'where cus_id=102;
select * from sales
>>>OUTPUT<<<
emp_id cus_id name item quantity total_amt
1 101 uthra rice 1kg Rs.50
2 102 narendra wheat 2kg Rs.100
3 103 pravin oil 1ltr Rs.250
4 104 vignesh sugar 1.5kg Rs.60

12. DELETE TABLE :
delete sales where cus_id= 103 ;
select * from sales;
>>>OUTPUT<<<
emp_id cus_id name item quantity total_amt
1 101 uthra rice 1kg Rs.50
2 102 narendra wheat 2kg Rs.100
4 104 vignesh sugar 1.5kg Rs.60

13. ALTER TABLE :
alter table customer add gender varchar(20);
insert into customer
values(105,'ram',30,'perundurai','male’);
>>>OUTPUT<<<
cus_id name age city gender
101 uthra 25 erode NULL
102 narendra 39 erode NULL
103 pravin 27 gobi NULL
104 vignesh 35 perundurai NULL
105 ram 30 perundurai male

14. AGGREGATE FUNCTION
MIN :
select min(stock_price) from stock;
>>>OUTPUT<<<
min(stock_price)
100
MAX :
select max(stock_price) from stock;
>>>OUTPUT<<<
max(stock_price)
500
SUM :
select sum(stock_price) from stock;
>>>OUTPUT<<<
sum(stock_price)
3600

15. AVERAGE:
select avg(stock_price) from stock;
>>>OUTPUT<<<
avg(stock_price)
300
GROUP BY :
select city,count(cus_id) from customer group by city;
>>>OUTPUT<<<
city count(cus_id)
erode 2
gobi 1
Perundurai 2

16. ORDER BY :
select cus_id,name,age from customer order by age ;
>>>OUTPUT<<<
cus_id name age
101 uthra 25
103 pravin 27
105 ram 30
104 vignesh 35
102 narendra 39

17. INNER JOIN:
select sales.emp_id,sales.item,sales.quantity,customer.cus_id from sales
inner join customer on sales.cus_id=customer.cus_id;
>>>OUTPUT<<<
emp_id item quantity cus_id
1 rice 1kg 101
2 wheat 2kg 102
3 oil 1ltr 103
4 sugar 1.5kg 104

18. OUTER JOIN:
select sales.emp_id,employee.name,employee.age from sales left join employee on
sales.emp_id=employee.emp_id order by employee.age;
>>>OUTPUT<<<
emp_id name age
3 mohan 24
1 vicky 25
2 narendra 28
4 dinesh 30

19. NESTED SUBQUERY:
select * from sales where cus_id IN(select cus_id from customer where
cus_id=103);
>>>OUTPUT<<<
emp_id cus_id name item quantity total_amt
3 103 pravin oil 1ltr Rs.250
VIEW:
create view emp as select emp_id,name,age,salary from employee;
select * from emp;
>>>OUTPUT<<<
emp_id name age salary
1 Vicky 25 50000
2 narendra 28 40000
3 mohan 24 30000
4 dinesh 30 25000

20. COMMIT AND ROLLBACK:
savepoint x;
savepoint created
create index cover on employee(emp_id,name,age,salary);
update employee set salary=60000 where name='vicky’;
select * from employee;
>>>OUTPUT<<<
emp_id name age salary
1 vicky 25 60000
2 narendra 28 40000
3 mohan 24 30000
4 dinesh 30 25000
Rollback to savepoint x;
Roll back completed
Commit ;
Commit completed