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MySQLquery~30 mins

Why table design affects performance in MySQL - See It in Action

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Why Table Design Affects Performance in MySQL
📖 Scenario: You are working as a database assistant for a small online bookstore. The bookstore wants to store information about books and their authors efficiently. You will create a simple table to hold book data and then improve the design to see how it affects performance.
🎯 Goal: Build a MySQL table for books with proper design choices to understand how table structure impacts query speed and storage.
📋 What You'll Learn
Create a table named books with columns id, title, author, and published_year
Add a configuration variable to limit the length of the title column
Write a query to select books published after a certain year
Add an index on the published_year column to improve query performance
💡 Why This Matters
🌍 Real World
Good table design helps websites and apps load data faster and use less storage, improving user experience.
💼 Career
Database designers and developers must create efficient tables and indexes to handle large data and keep applications responsive.
Progress0 / 4 steps
1
Create the initial books table
Create a MySQL table called books with these columns: id as an integer primary key, title as a VARCHAR(255), author as a VARCHAR(100), and published_year as an integer.
MySQL
Need a hint?

Use CREATE TABLE statement with the specified columns and types.

2
Add a configuration for title length
Modify the books table creation to set the title column length to 100 characters instead of 255.
MySQL
Need a hint?

Change the VARCHAR length for title to 100.

3
Write a query to select recent books
Write a SQL query to select all columns from books where published_year is greater than 2010.
MySQL
Need a hint?

Use SELECT * FROM books WHERE published_year > 2010;

4
Add an index to improve query performance
Add an index on the published_year column in the books table to speed up queries filtering by year.
MySQL
Need a hint?

Use CREATE INDEX statement on published_year.