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library.sql
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library.sql
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-- Active: 1731863607241@@127.0.0.1@3306@library
CREATE DATABASE library;
USE library;
DROP TABLE IF EXISTS books;
DROP TABLE IF EXISTS members;
DROP Table IF EXISTS book_issues;
CREATE Table books (
book_id int PRIMARY KEY,
title VARCHAR(250) NOT NULL,
author VARCHAR(50) NOT NULL,
genre VARCHAR(50),
price DECIMAL(10, 2) DEFAULT 500.00
);
CREATE Table members (
member_id int PRIMARY KEY,
name VARCHAR(50) NOT NULL UNIQUE,
email VARCHAR(50) NOT NULL UNIQUE
);
CREATE TABLE book_issues (
issue_id int PRIMARY KEY,
member_id int,
book_id int,
issued_date DATE,
Foreign Key (member_id) REFERENCES members (member_id) on DELETE CASCADE,
Foreign Key (book_id) REFERENCES books (book_id) on DELETE CASCADE
);
INSERT INTO
books (
book_id,
title,
author,
genre,
price
)
VALUES (
1,
'To Kill a Mockingbird',
'Harper Lee',
'Fiction',
350.00
),
(
2,
'1984',
'George Orwell',
'Dystopian',
400.00
),
(
3,
'The Great Gatsby',
'F. Scott Fitzgerald',
'Classic',
300.00
),
(
4,
'Moby Dick',
'Herman Melville',
'Adventure',
450.00
),
(
5,
'Pride and Prejudice',
'Jane Austen',
'Romance',
320.00
),
(
6,
'The Catcher in the Rye',
'J.D. Salinger',
'Classic',
280.00
),
(
7,
'Brave New World',
'Aldous Huxley',
'Dystopian',
380.00
),
(
8,
'The Hobbit',
'J.R.R. Tolkien',
'Fantasy',
420.00
),
(
9,
'War and Peace',
'Leo Tolstoy',
'Historical Fiction',
500.00
),
(
10,
'Anna Karenina',
'Leo Tolstoy',
'Romance',
450.00
),
(
11,
'Crime and Punishment',
'Fyodor Dostoevsky',
'Philosophical Fiction',
400.00
),
(
12,
'The Alchemist',
'Paulo Coelho',
'Fiction',
350.00
),
(
13,
'The Kite Runner',
'Khaled Hosseini',
'Drama',
360.00
),
(
14,
'One Hundred Years of Solitude',
'Gabriel García Márquez',
'Magical Realism',
390.00
),
(
15,
'The Road',
'Cormac McCarthy',
'Post-Apocalyptic',
310.00
),
(
16,
'Life of Pi',
'Yann Martel',
'Adventure',
330.00
),
(
17,
'The Book Thief',
'Markus Zusak',
'Historical Fiction',
370.00
),
(
18,
'The Da Vinci Code',
'Dan Brown',
'Mystery',
400.00
),
(
19,
'Angels & Demons',
'Dan Brown',
'Thriller',
380.00
),
(
20,
'Harry Potter and the Sorcerer\'s Stone',
'J.K. Rowling',
'Fantasy',
450.00
),
(
21,
'Harry Potter and the Chamber of Secrets',
'J.K. Rowling',
'Fantasy',
460.00
),
(
22,
'The Hunger Games',
'Suzanne Collins',
'Dystopian',
350.00
),
(
23,
'Catching Fire',
'Suzanne Collins',
'Dystopian',
360.00
),
(
24,
'Mockingjay',
'Suzanne Collins',
'Dystopian',
370.00
),
(
25,
'Divergent',
'Veronica Roth',
'Dystopian',
340.00
),
(
26,
'The Fault in Our Stars',
'John Green',
'Romance',
300.00
),
(
27,
'Paper Towns',
'John Green',
'Mystery',
290.00
),
(
28,
'Looking for Alaska',
'John Green',
'Young Adult',
310.00
),
(
29,
'The Maze Runner',
'James Dashner',
'Science Fiction',
380.00
),
(
30,
'The Shining',
'Stephen King',
'Horror',
410.00
);
INSERT INTO
members (member_id, name, email)
VALUES (
1,
'John Doe',
),
(
2,
'Jane Smith',
),
(
3,
'Robert Brown',
),
(
4,
'Emily Davis',
),
(
5,
'Michael Johnson',
),
(
6,
'Sarah Wilson',
),
(
7,
'David Miller',
),
(
8,
'Linda Taylor',
),
(
9,
'James Anderson',
),
(
10,
'Patricia Thomas',
),
(
11,
'Christopher Lee',
),
(
12,
'Barbara Moore',
),
(
13,
'Daniel Jackson',
),
(
14,
'Elizabeth Harris',
),
(
15,
'Paul Clark',
),
(
16,
'Jessica Lewis',
),
(
17,
'Andrew Walker',
),
(
18,
'Karen Young',
),
(
19,
'Joshua Allen',
),
(
20,
'Nancy King',
),
(
21,
'Ryan Scott',
),
(
22,
'Laura Wright',
),
(
23,
'Kevin Green',
),
(
24,
'Ashley Adams',
),
(
25,
'Brian Baker',
),
(
26,
'Samantha Hall',
),
(
27,
'Jason Phillips',
),
(
28,
'Megan Carter',
),
(
29,
'Steven Mitchell',
),
(
30,
'Angela Perez',
);
INSERT INTO
book_issues (
issue_id,
member_id,
book_id,
issued_date
)
VALUES (1, 1, 2, '2024-11-01'),
(2, 2, 4, '2024-11-02'),
(3, 3, 1, '2024-11-03'),
(4, 4, 5, '2024-11-04'),
(5, 5, 3, '2024-11-05'),
(6, 6, 6, '2024-11-06'),
(7, 7, 8, '2024-11-07'),
(8, 8, 10, '2024-11-08'),
(9, 9, 9, '2024-11-09'),
(10, 10, 7, '2024-11-10'),
(11, 11, 11, '2024-11-11'),
(12, 12, 13, '2024-11-12'),
(13, 13, 15, '2024-11-13'),
(14, 14, 12, '2024-11-14'),
(15, 15, 14, '2024-11-15'),
(16, 16, 16, '2024-11-16'),
(17, 17, 18, '2024-11-17'),
(18, 18, 20, '2024-11-18'),
(19, 19, 17, '2024-11-19'),
(20, 20, 19, '2024-11-20'),
(21, 21, 21, '2024-11-01'),
(22, 22, 23, '2024-11-02'),
(23, 23, 24, '2024-11-03'),
(24, 24, 22, '2024-11-04'),
(25, 25, 25, '2024-11-05'),
(26, 26, 26, '2024-11-06'),
(27, 27, 27, '2024-11-07'),
(28, 28, 28, '2024-11-08'),
(29, 29, 29, '2024-11-09'),
(30, 30, 30, '2024-11-10');
-- showin the results of insert values:
SELECT * FROM book_issues;
SELECT * FROM members;
SELECT * FROM books;
DELETE FROM members WHERE member_id = 1;
UPDATE members SET name = 'sajid' WHERE member_id = 13;
UPDATE members
SET
email = '[email protected]'
WHERE
member_id = 13;
ALTER TABLE members ADD COLUMN age INT;
UPDATE members SET age = 24 WHERE member_id = 13;
-- updating the record
UPDATE books SET price = 870.00 WHERE book_id = 1;
UPDATE members
SET
age = CASE
WHEN member_id = 2 THEN 30
WHEN member_id = 3 THEN 40
WHEN member_id = 4 THEN 20
WHEN member_id = 5 THEN 35
WHEN member_id = 6 THEN 16
WHEN member_id = 7 THEN 29
WHEN member_id = 8 THEN 38
WHEN member_id = 9 THEN 34
WHEN member_id = 10 THEN 44
WHEN member_id = 11 THEN 47
WHEN member_id = 12 THEN 58
WHEN member_id = 13 THEN 24
WHEN member_id = 14 THEN 22
WHEN member_id = 15 THEN 27
WHEN member_id = 16 THEN 22
WHEN member_id = 17 THEN 24
WHEN member_id = 18 THEN 25
WHEN member_id = 19 THEN 45
WHEN member_id = 20 THEN 39
WHEN member_id = 21 THEN 36
WHEN member_id = 22 THEN 41
WHEN member_id = 23 THEN 38
WHEN member_id = 24 THEN 45
WHEN member_id = 25 THEN 29
WHEN member_id = 26 THEN 38
WHEN member_id = 27 THEN 46
WHEN member_id = 28 THEN 33
WHEN member_id = 29 THEN 43
WHEN member_id = 30 THEN 29
ELSE age
END;
-- using greater and less than operation
SELECT * FROM books WHERE price > 430;
SELECT * FROM book_issues WHERE member_id <= 11;
-- sum operation
SELECT SUM(price) AS total_price FROM books;
SELECT SUM(member_id) AS total_memberid FROM members;
-- Average price of books
SELECT AVG(price) AS average_price FROM books;
-- searching max min operation:
SELECT MAX(price) AS max_price FROM books;
SELECT MIN(price) AS min_price FROM books;
-- sorting ascending and descending
SELECT * FROM books ORDER BY price ASC;
SELECT * FROM book_issues ORDER BY member_id DESC;
-- searching for book with a specefic table
SELECT * FROM books WHERE book_id = 4;
SELECT email, age FROM members WHERE member_id = 13;
-- soritng memebers name from ascending order
SELECT * FROM members ORDER BY name ASC;
-- filterig email by specefic domain
SELECT * FROM members WHERE email LIKE '[email protected]';
-- sorting the issue_date using ascendig and descendig order
SELECT * FROM book_issues ORDER BY issued_date ASC;
SELECT * FROM book_issues ORDER BY issued_date DESC;
-- counitng the number of books from the count
SELECT COUNT(issued_date) AS books_count FROM book_issues;
-- searching books between range of price
SELECT * FROM books WHERE price BETWEEN 400 AND 650;
-- selecting distinct genre from books
SELECT DISTINCT genre FROM books;
-- distinct is a kind of word that actually eliminate the non repetitive values from the database
SELECT count(DISTINCT age) FROM members;
-- counting the unique genre from the book tables
SELECT COUNT(DISTINCT genre) AS unique_genre FROM books;
SELECT count(DISTINCT age) AS unique_age FROM members;
-- finding the earliest and latest issued date
DESCRIBE book_issues;
SELECT MIN(issued_date) AS earliest_issue_date FROM book_issues;
SELECT MAX(issued_date) AS latest_issue_date FROM book_issues;
-- aggregating the total number of books issued
SELECT member_id, COUNT(issue_id) AS total_issued
FROM book_issues
GROUP BY
member_id;
SELECT book_id, COUNT(issue_id) AS total_issued
FROM book_issues
GROUP BY
issue_id;
-- selecting books from there price and sort them as ascending and descending order
SELECT * FROM books ORDER BY price ASC;
SELECT * FROM books ORDER BY price DESC;
-- counting the issued books for specefic member
SELECT COUNT(*) AS issue_count FROM book_issues WHERE member_id = 4;
-- Finding books with null genre
SELECT * FROM books WHERE genre is NULL;
-- Using case to conditional statments
-- *** powerful use for to handel conditional case
SELECT
book_id,
title,
author,
price,
CASE
WHEN price <= 300 THEN 'affordable'
WHEN price BETWEEN 320 AND 450 THEN 'Quite costly'
ELSE 'Expensive'
END as price_categorization
FROM books;
-- Creating a new table for affordable price
CREATE Table affordable_books as
SELECT * FROM books where price < 600;
-- using exist method to check related records
SELECT *
FROM members
WHERE
EXISTS (
SELECT 1
FROM book_issues
WHERE
book_issues.member_id = members.member_id
);
-- using subqueires to select operation
SELECT book_id, title, (
SELECT COUNT(*)
FROM book_issues
WHERE
book_issues.book_id = books.book_id
) AS issue_count
FROM books;