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A database is an ordered collection of data kept in a computer system that is generally managed by a database management system (DBMS). Table modeling of the data in standard databases facilitates efficient querying and processing.
Database is a vital component of our lives. We participate in a variety of activities where we connect with databases, such as at the bank, train station, school, grocery shop, etc. These are the situations where having a lot of data stored in one location and being able to access it quickly is necessary.
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Create a database schema to store information about a bookstore. The database should store data about books, authors, publishers, and customers. Each book can have multiple authors, and each author can have multiple books. Each book has a publisher, and each publisher can have multiple books. Each customer can purchase multiple books, and each book can be purchased by multiple customers. Design the database schema and provide SQL queries to retrieve the following information:
Database Schema:import sqlite3
# Create a connection to the database
conn = sqlite3.connect('bookstore.db')
cursor = conn.cursor()
# Create the Authors table
cursor.execute('''CREATE TABLE Authors (
author_id INTEGER PRIMARY KEY,
author_name TEXT
)''')
# Create the Books table
cursor.execute('''CREATE TABLE Books (
book_id INTEGER PRIMARY KEY,
book_title TEXT,
publisher_id INTEGER,
price REAL,
FOREIGN KEY (publisher_id) REFERENCES Publishers(publisher_id)
)''')
# Create the Publishers table
cursor.execute('''CREATE TABLE Publishers (
publisher_id INTEGER PRIMARY KEY,
publisher_name TEXT
)''')
# Create the Customers table
cursor.execute('''CREATE TABLE Customers (
customer_id INTEGER PRIMARY KEY,
customer_name TEXT
)''')
# Create the Book_Authors table
cursor.execute('''CREATE TABLE Book_Authors (
book_id INTEGER,
author_id INTEGER,
FOREIGN KEY (book_id) REFERENCES Books(book_id),
FOREIGN KEY (author_id) REFERENCES Authors(author_id)
)''')
# Create the Book_Customers table
cursor.execute('''CREATE TABLE Book_Customers (
book_id INTEGER,
customer_id INTEGER,
purchase_date DATE,
FOREIGN KEY (book_id) REFERENCES Books(book_id),
FOREIGN KEY (customer_id) REFERENCES Customers(customer_id)
)''')
# Insert sample data into the tables
cursor.execute("INSERT INTO Authors (author_name) VALUES ('Author 1')")
cursor.execute("INSERT INTO Authors (author_name) VALUES ('Author 2')")
cursor.execute("INSERT INTO Publishers (publisher_name) VALUES ('Publisher 1')")
cursor.execute("INSERT INTO Publishers (publisher_name) VALUES ('Publisher 2')")
cursor.execute("INSERT INTO Books (book_title, publisher_id, price) VALUES ('Book 1', 1, 19.99)")
cursor.execute("INSERT INTO Books (book_title, publisher_id, price) VALUES ('Book 2', 2, 24.99)")
cursor.execute("INSERT INTO Customers (customer_name) VALUES ('Customer 1')")
cursor.execute("INSERT INTO Customers (customer_name) VALUES ('Customer 2')")
cursor.execute("INSERT INTO Book_Authors (book_id, author_id) VALUES (1, 1)")
cursor.execute("INSERT INTO Book_Authors (book_id, author_id) VALUES (2, 2)")
cursor.execute("INSERT INTO Book_Customers (book_id, customer_id, purchase_date) VALUES (1, 1, '2023-06-01')")
cursor.execute("INSERT INTO Book_Customers (book_id, customer_id, purchase_date) VALUES (2, 1, '2023-06-15')")
cursor.execute("INSERT INTO Book_Customers (book_id, customer_id, purchase_date) VALUES (2, 2, '2023-06-10')")
# Commit the changes to the database
conn.commit()
# SQL queries
# 1. Retrieve all books written by a specific author
author_name = 'Author 1'
cursor.execute('''SELECT Books.book_title
FROM Books
JOIN Book_Authors ON Books.book_id = Book_Authors.book_id
JOIN Authors ON Book_Authors.author_id = Authors.author_id
WHERE Authors.author_name = ?''', (author_name,))
books_by_author = cursor.fetchall()
print(f"Books written by {author_name}:")
for book in books_by_author:
print(book[0])
# 2. Retrieve all books published by a specific publisher
publisher_name = 'Publisher 1
Yes, we have academic writers in our team with strong knowledge of Cassandra. So, if you need help with writing your assignments on database topics related to Cassandra, feel free to approach us.
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