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DDL.sql

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+drop TABLE payments;
+drop TABLE orders;
+drop TABLE customers;
+drop TABLE products;
+
+
+CREATE TABLE customers (
+  customer_id NUMBER(10) PRIMARY KEY,
+  name VARCHAR(100) NOT NULL,
+  email VARCHAR(100) NOT NULL,
+  phone VARCHAR(20),
+  address VARCHAR(200),
+  date_of_birth DATE
+);
+
+CREATE TABLE products (
+  product_id NUMBER(10) PRIMARY KEY,
+  name VARCHAR(100) NOT NULL,
+  description VARCHAR(1000),
+  price NUMBER(10,2) NOT NULL,
+  category VARCHAR(100)
+);
+
+CREATE TABLE orders (
+  order_id NUMBER(10) PRIMARY KEY,
+  customer_id NUMBER(10) REFERENCES customers(customer_id) ON DELETE CASCADE,
+  product_id NUMBER(10) REFERENCES products(product_id) ON DELETE CASCADE,
+  order_date DATE NOT NULL,
+  quantity NUMBER(10) NOT NULL,
+  status VARCHAR(20) NOT NULL
+);
+
+CREATE TABLE payments (
+  payment_id NUMBER(10) PRIMARY KEY,
+  order_id NUMBER(10) REFERENCES orders(order_id) ON DELETE CASCADE,
+  amount NUMBER(10,2) NOT NULL,
+  payment_date DATE NOT NULL
+);
+
+
+
+
+
+---Add column in the table
+alter table payments add Payment_type char(20);
+
+
+
+---Modify column definition in the table
+alter table payments modify Payment_type varchar(10);
+
+---Rename the column name
+alter table payments rename column Payment_type to PaymentType;
+
+---Drop the column from table
+alter table payments drop column PaymentType;
+
+
+
+

DML.sql

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+INSERT INTO customers VALUES(1, 'Akif','akif@gmail.com', '1234567890', 'Khulna', TO_DATE('1990-01-01', 'YYYY-MM-DD'));
+INSERT INTO customers VALUES(2, 'tahim ','tahim@gmail.com', '9876543210', 'Dhaka', TO_DATE('1985-05-10', 'YYYY-MM-DD'));
+INSERT INTO customers VALUES(3, 'Rana', 'rana@gmail.com', '5558755555', 'Rangpur', TO_DATE('1992-09-15', 'YYYY-MM-DD'));
+INSERT INTO customers VALUES(4, 'Swaraj Biswas', 'biswas@gmail.com', '4321111111', 'Dinajpur', TO_DATE('1990-01-01', 'YYYY-MM-DD'));
+INSERT INTO customers VALUES(5, 'Rafi', 'rafi@gmail.com', '9876565656', 'Dinajpur', TO_DATE('1990-10-01', 'YYYY-MM-DD'));
+INSERT INTO customers VALUES(6, 'Atik', 'atik@gmail.com', '9898787887', 'Dhaka', TO_DATE('2002-10-01', 'YYYY-MM-DD'));
+INSERT INTO customers VALUES(7, 'Robied', 'robied@gmail.com', '1233214567', 'Rajshahi', TO_DATE('1994-12-01', 'YYYY-MM-DD'));
+INSERT INTO customers VALUES(8, 'Arghya', 'arghya@gmail.com', '7664777832', 'Sylhet', TO_DATE('2001-01-01', 'YYYY-MM-DD'));
+INSERT INTO customers VALUES(9, 'Pantha', 'pantha@gmail.com', '9080798734', 'Dhaka', TO_DATE('1998-11-01', 'YYYY-MM-DD'));
+INSERT INTO customers VALUES(10, 'Arif', 'arif@gmail.com', '7654567894', 'Rajshahi', TO_DATE('2000-01-11', 'YYYY-MM-DD'));
+
+
+INSERT INTO products VALUES(1, 'Shirt', 'cotton shirt', 19, 'Apparel');
+INSERT INTO products VALUES(2, 'Jeans', 'Stylish jeans', 49, 'Apparel');
+INSERT INTO products VALUES(3, 'Sneakers', 'Sporty sneakers', 59, 'Footwear');
+INSERT INTO products VALUES(4, 'Watch', 'Elegant wristwatch', 99.99, 'Accessories');
+INSERT INTO products VALUES(5, 'Dress', 'Fashionable dress', 79.99, 'Apparel');
+INSERT INTO products VALUES(6, 'Backpack', 'Durable backpack', 39, 'Accessories');
+INSERT INTO products VALUES(7, 'Headphones', 'Wireless headphones', 129.99, 'Electronics');
+INSERT INTO products VALUES(8, 'Skirt', 'Mini skirt', 29, 'Apparel');
+INSERT INTO products VALUES(9, 'Sunglasses', 'Stylish sunglasses', 49, 'Accessories');
+INSERT INTO products VALUES(10, 'Tennis Shoes', 'High-performance tennis shoes', 89.99, 'Footwear');
+
+
+
+
+
+INSERT INTO orders VALUES(1, 1, 1, TO_DATE('2023-01-10', 'YYYY-MM-DD'), 2, 'Pending');
+INSERT INTO orders VALUES(2, 2, 3, TO_DATE('2023-02-15', 'YYYY-MM-DD'), 1, 'Shipped');
+INSERT INTO orders VALUES(3, 1, 2, TO_DATE('2023-03-02', 'YYYY-MM-DD'), 3, 'Pending');
+INSERT INTO orders VALUES(4, 3, 4, TO_DATE('2023-01-25', 'YYYY-MM-DD'), 1, 'Pending');
+INSERT INTO orders VALUES(5, 2, 1, TO_DATE('2023-02-18', 'YYYY-MM-DD'), 2, 'Shipped');
+INSERT INTO orders VALUES(6, 1, 5, TO_DATE('2023-03-10', 'YYYY-MM-DD'), 1, 'Pending');
+INSERT INTO orders VALUES(7, 3, 2, TO_DATE('2023-01-05', 'YYYY-MM-DD'), 2, 'Shipped');
+INSERT INTO orders VALUES(8, 1, 4, TO_DATE('2023-02-28', 'YYYY-MM-DD'), 1, 'Pending');
+INSERT INTO orders VALUES(9, 2, 6, TO_DATE('2023-03-05', 'YYYY-MM-DD'), 2, 'Shipped');
+INSERT INTO orders VALUES(10, 3, 3, TO_DATE('2023-01-15','YYYY-MM-DD'), 1, 'Pending');
+
+
+
+
+INSERT INTO payments VALUES(1, 1, 38, TO_DATE('2023-01-12', 'YYYY-MM-DD'));
+INSERT INTO payments VALUES(2, 2,59, TO_DATE('2023-02-20', 'YYYY-MM-DD'));
+INSERT INTO payments VALUES(3, 3,147, TO_DATE('2023-03-03', 'YYYY-MM-DD'));
+INSERT INTO payments VALUES(4, 4,99.99, TO_DATE('2023-01-28', 'YYYY-MM-DD'));
+INSERT INTO payments VALUES(5, 5,38, TO_DATE('2023-02-20', 'YYYY-MM-DD'));
+INSERT INTO payments VALUES(6, 6,79.99, TO_DATE('2023-03-12', 'YYYY-MM-DD'));
+INSERT INTO payments VALUES(7, 7,98, TO_DATE('2023-01-07', 'YYYY-MM-DD'));
+INSERT INTO payments VALUES(8, 8, 99.99, TO_DATE('2023-03-01', 'YYYY-MM-DD'));
+INSERT INTO payments VALUES(9, 9,78, TO_DATE('2023-03-08', 'YYYY-MM-DD'));
+INSERT INTO payments VALUES(10, 10, 59, TO_DATE('2023-01-17', 'YYYY-MM-DD'));
+
+
+
+
+---Displaying table data using SELECT command
+select * from payments 
+WHERE amount>50;
+
+
+alter table orders add total_revenue NUMBER(10,2);
+
+---Updating the data in a table
+update payments set amount=100 where amount=99.99;
+
+---Deleting row from a table
+INSERT INTO orders VALUES(30, 3, 3, TO_DATE('2023-01-15','YYYY-MM-DD'), 10, 'Pending');
+INSERT INTO payments VALUES(15, 30,380, TO_DATE('2023-12-20', 'YYYY-MM-DD'));
+delete from  payments where payment_id=15;
+
+
+---Save the SQL command output in csv file
+SET MARKUP XML ON
+SET HEADING OFF
+SET PAGESIZE 0
+SET FEEDBACK OFF
+SPOOL C:\Users\DELL\Desktop\DB Lab Project\database_trial\file1.csv
+SELECT *
+FROM payments;
+SPOOL OFF
+
+
+
+
+---Save the SQL command output in xml file
+SET COLSEP ","
+SET HEADING OFF
+SET PAGESIZE 0
+SET FEEDBACK OFF
+SPOOL C:\Users\DELL\Desktop\DB Lab Project\database_trial\file2.csv
+SELECT *
+FROM payments;
+SPOOL OFF
+
+---Save the SQL command output in txt file
+SPOOL C:\Users\DELL\Desktop\DB Lab Project\database_trial\file3.txt
+SELECT *
+FROM payments;
+SPOOL OFF
+
+
+-----Aggregate function
+
+---count how many row exist in products table
+select count(*) 
+from customers;
+
+
+select count(customer_id) as number_of_customers
+from customers;
+
+select avg(amount) from payments;
+select sum(amount) from payments;
+select max(amount) from payments;
+select min(amount) from payments;
+
+
+
+---Group by and Having
+
+select customer_id,sum(quantity)
+from orders 
+group by customer_id;
+
+                               ---prompt *=*=*=*=*=*=*=*= Chaecking *=*=*=*=*=*=*=*=*=*=*=*=
+
+select customer_id,sum(quantity)
+from orders 
+group by customer_id
+having sum(quantity)>5;
+
+
+---Nested subquery
+
+---A order of which customer
+
+ select name 
+ from customers
+ where customer_id=(select customer_id 
+ from orders
+ where order_id=5);
+
+ commit;
+
+
+
+
+
+
+---Retrieve all customers and their associated orders:
+select c.customer_id, c.name, o.order_id, o.order_date, o.status
+from customers c
+JOIN orders o ON c.customer_id = o.customer_id;
+
+
+
+---Get the total number of orders placed by each customer:
+select c.customer_id, c.name, COUNT(o.order_id) AS order_count
+from customers c
+LEFT JOIN orders o ON c.customer_id = o.customer_id
+GROUP BY c.customer_id, c.name;
+
+
+
+---List all products along with their categories:
+select p.product_id, p.name, p.category
+from products p;
+
+
+
+---Retrieve the details of a specific order and its associated customer information:
+select o.order_id, o.order_date, o.status, c.name AS customer_name, c.email, c.phone
+from orders o
+JOIN customers c ON o.customer_id = c.customer_id
+WHERE o.order_id = 1;
+
+
+
+---Calculate the total amount paid for each order:
+select o.order_id, SUM(p.amount) AS total_amount_paid
+from orders o
+JOIN payments p ON o.order_id = p.order_id
+GROUP BY o.order_id;
+
+
+
+---Retrieve all customers who have placed orders:
+select c.customer_id, c.name, c.email
+from customers c
+WHERE EXISTS (
+    select 1
+    from orders o
+    WHERE o.customer_id = c.customer_id
+);
+
+
+
+---List all orders along with the corresponding customer and product details:
+select o.order_id, c.name AS customer_name, p.name AS product_name, o.quantity, o.order_date
+from orders o
+JOIN customers c ON o.customer_id = c.customer_id
+JOIN products p ON o.product_id = p.product_id;
+
+
+
+
+---Get the total revenue generated by each product category:
+select p.category, SUM(o.quantity * p.price) AS revenue
+from orders o
+JOIN products p ON o.product_id = p.product_id
+GROUP BY p.category;
+
+
+---Retrieve the latest order placed by each customer:
+select c.customer_id, c.name, o.order_id, o.order_date
+from customers c
+JOIN orders o ON c.customer_id = o.customer_id
+WHERE o.order_date = (
+    select MAX(order_date)
+    from orders
+    WHERE customer_id = c.customer_id
+);
+
+
+
+
+---creating Myview
+drop view Myview11;
+
+CREATE VIEW Myview11 AS
+select c.customer_id,c.name AS customer_name,c.email,c.phone,c.address,c.date_of_birth,
+    p.product_id,p.name AS product_name,p.description,p.price,p.category,
+    o.order_id,o.order_date,o.quantity,o.status,
+    pm.payment_id,pm.amount,pm.payment_date
+from customers c
+    JOIN orders o ON c.customer_id = o.customer_id
+    JOIN products p ON o.product_id = p.product_id
+    LEFT JOIN payments pm ON o.order_id = pm.order_id;
+
+
+---select * from Myview11;
+
+---payments done between dates
+
+SELECT customer_name, product_name, amount, payment_date
+FROM Myview11
+WHERE payment_date >= TO_DATE('2023-01-01', 'YYYY-MM-DD') 
+AND payment_date <= TO_DATE('2023-12-31', 'YYYY-MM-DD');
+
+---show shiped items
+SELECT order_id, status
+FROM orders
+WHERE status LIKE '%shipped%';
+
+
+---show products started with S
+select name,price
+from products
+WHERE name LIKE 'S%';
+
+---second highest priced product
+select name,price from 
+( select 
+     name,price,ROW_NUMBER() OVER(ORDER BY price DESC) AS rrow
+     from products) 
+WHERE rrow=2;
+
+commit
+
+