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Course Content
MySQL Tutorial
Welcome to the MySQL tutorial — crafted for everyone, whether you're taking your first steps into the world of databases or you're a developer looking to refine your skills with advanced MySQL techniques. From understanding the fundamentals of relational data to mastering complex SQL queries, transactions, stored procedures, and performance tuning — this guide has you covered.
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MySQL Environmental Setup
Setting up MySQL is the first step toward working with relational databases. Below is a complete guide to help you install and run MySQL on your system, whether you are using Windows, Linux, or macOS. The second step is to start and stop MySQL service on your system. This ensures the MySQL server is running and ready to accept connections and execute queries.
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MySQL Basics
SQL (Structured Query Language) is the standard language used to communicate with relational databases like MySQL. It allows you to create, modify, manage, and retrieve data from tables using simple and powerful commands.
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MySQL Crud Operations
CRUD stands for Create, Read, Update, and Delete — the basic operations you perform on data in any MySQL database. These operations allow you to insert new records, retrieve data, update existing values, and remove records when needed.
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MySQL Joins
In MySQL, JOINs are used to combine rows from two or more tables based on related columns. They are essential when your data is spread across multiple tables and you need to bring it together in one query result.
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Stored Procedures & Functions in MySQL
This section explains the concepts of stored procedures and user-defined functions (UDFs) in MySQL, covering their creation, usage, parameters, differences, control flow, determinism, and advanced behavior — nothing is skipped.
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MySQL Triggers
This section covers everything about Triggers and Events in MySQL — including what they are, how they work, when to use them, all the types available, and how to manage them. Each point comes with simple explanations and examples.
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User Management and Security in MySQL
Managing users and securing your MySQL server is essential to control access, protect data, and prevent unauthorized operations. MySQL provides powerful tools to handle users, assign roles, and enforce fine-grained access control using privileges.
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MySQL Performance Tuning
MySQL Performance Tuning is the process of optimizing how your database server, queries, indexes, and schema work together to provide the fastest and most resource-efficient responses. When a database starts to slow down under load, tuning ensures better speed, reduced CPU/memory usage, and quicker access to data — especially for high-traffic applications or large datasets. It involves query optimization, proper indexing, schema design, and server-level configurations that reduce delays and improve efficiency across all operations.
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Query Optimization Techniques in MySQL
Query optimization is the process of writing SQL queries in a way that minimizes execution time and resource usage (like CPU, memory, and disk I/O). MySQL’s optimizer decides the best way to execute your SQL query, but your query structure can drastically impact performance. By following smart query practices, using indexes, avoiding expensive operations, and understanding how MySQL executes your statements, you can dramatically boost your database performance.
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Replication in MySQL
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MySQL

This section covers essential MySQL table operations, including creating and modifying tables, choosing storage engines, and using special features like temporary tables, generated columns, and auto-incrementing keys.

1. MySQL Storage Engines

A storage engine handles the actual storage and retrieval of data. Different engines provide different features — some support transactions, others full-text search, and some are optimized for speed. Popular engines include InnoDB and MyISAM.

Syntax:
CREATE TABLE table_name ( column1 datatype, column2 datatype ) ENGINE = storage_engine_name; Example: CREATE TABLE logs ( id INT, message TEXT ) ENGINE = MyISAM;

2. CREATE TABLE

Creates a new table where data will be stored, defining columns, data types, and constraints.

Syntax:
CREATE TABLE table_name ( column1 datatype [constraints], column2 datatype [constraints], ... ); Example: CREATE TABLE books ( id INT PRIMARY KEY, title VARCHAR(255), author VARCHAR(100), published_year YEAR );

3. MySQL Data Types Uses:

MySQL supports various data types to store numbers, text, dates, and logical values.

Syntax:
column_name INT;
column_name FLOAT;
column_name VARCHAR(length);
column_name TEXT;
column_name DATE;
column_name DATETIME;
column_name BOOLEAN;
column_name ENUM('value1', 'value2', ...);

Example:
price FLOAT; name VARCHAR(100); created_at DATETIME;

4. AUTO_INCREMENT

Automatically generates unique numbers for a column, usually for primary keys.

Syntax:
CREATE TABLE users ( user_id INT AUTO_INCREMENT PRIMARY KEY, username VARCHAR(50) );

Example:
CREATE TABLE employees (
emp_id INT AUTO_INCREMENT PRIMARY KEY,
emp_name VARCHAR(100)
);

5. ALTER TABLE

Modifies an existing table’s structure.

5.1 Add a Column

Example:
ALTER TABLE users ADD email VARCHAR(100);

5.2 Remove a Column

Example:
ALTER TABLE users DROP COLUMN email;

5.3 Modify a Column

Example:
ALTER TABLE users MODIFY username VARCHAR(150);

6. RENAME TABLE

Syntax:
RENAME TABLE old_table_name TO new_table_name; Example: RENAME TABLE users TO members;

7. DROP TABLE

Syntax:
DROP TABLE table_name; Example: DROP TABLE members;

8. TRUNCATE TABLE

Clears all rows in a table but keeps the structure for reuse.

Syntax:
TRUNCATE TABLE table_name;


Example:
TRUNCATE TABLE products;

9. Temporary Tables

Temporary tables exist only during the current session and are automatically deleted when the connection closes.

Syntax:
CREATE TEMPORARY TABLE temp_orders ( id INT, status VARCHAR(20) );

Example:
CREATE TEMPORARY TABLE temp_sales (
sale_id INT,
amount DECIMAL(10,2)
);

10. Generated Columns

Generated columns automatically calculate values based on other columns. They can be virtual or stored.

Syntax:
CREATE TABLE employees ( first_name VARCHAR(50), last_name VARCHAR(50), full_name VARCHAR(100) GENERATED ALWAYS AS (CONCAT(first_name, ' ', last_name)) );

Example:
CREATE TABLE products (
price DECIMAL(10,2),
quantity INT,
total_cost DECIMAL(10,2) GENERATED ALWAYS AS (price * quantity) STORED
);