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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

SQL functions are built-in operations used to perform calculations, modify values, and analyze data in a query. They simplify complex tasks like counting records, formatting text, and working with dates.

A. Aggregate Functions

Aggregate functions in SQL are used to perform calculations on multiple rows of data and return a single summarized result. They help in analyzing large datasets by providing totals, averages, counts, and minimum or maximum values. These functions are widely used in reporting and analytics to extract meaningful insights.

1. COUNT() : Returns the number of rows that match a condition.

SELECT COUNT(*) FROM table_name;

Example:

SELECT COUNT(*) FROM students;

Returns the total number of students in the table.

2. SUM() : Adds up the values in a numeric column.

SELECT SUM(numeric_column) FROM table_name;

Example:

SELECT SUM(marks) FROM students;

Returns the total sum of all students’ marks.

3. AVG() : Returns the average (mean) value of a numeric column.

SELECT AVG(numeric_column) FROM table_name;

Example:

SELECT AVG(age) FROM students;

Calculates the average age of all students.

4. MIN() : Returns the smallest value in a column.

SELECT MIN(column_name) FROM table_name;

Example:

SELECT MIN(age) FROM students;

Finds the youngest student’s age.

5. MAX() : Returns the largest value in a column.

SELECT MAX(column_name) FROM table_name;

Example:

SELECT MAX(age) FROM students;

Finds the oldest student’s age.

B. String Functions

String functions in SQL are used to manipulate and format text-based data stored in tables. They allow operations like combining strings, measuring length, changing case, or extracting specific parts of text. These functions are very useful when working with names, addresses, and other textual fields. By applying string functions, queries can produce cleaner and more readable outputs.

6. CONCAT() : Combines two or more strings into one.

SELECT CONCAT(column1, ' ', column2) AS alias_name 
FROM table_name;

Example:

SELECT CONCAT(first_name, ' ', last_name) AS full_name 
FROM students;

Displays full names by combining first and last name.

7. LENGTH() : Returns the number of characters in a string.

SELECT LENGTH(column_name) FROM table_name;

Example:

SELECT LENGTH(name) FROM students;

Shows how many characters are in each student’s name.

8. UPPER() / LOWER() : Converts text to uppercase or lowercase.

SELECT UPPER(column_name) FROM table_name;
-- OR
SELECT LOWER(column_name) FROM table_name;

Example:

SELECT UPPER(name) FROM students;

Returns all student names in uppercase.

9. SUBSTRING() : Extracts part of a string from a specified position.

SELECT SUBSTRING(column_name, start_position, length) 
FROM table_name;

Example:

SELECT SUBSTRING(name, 1, 3) FROM students;

Returns the first 3 letters of each student’s name.

C. Date/Time Functions

Date/Time functions in SQL are designed to work with date and time values stored in tables. They help retrieve the current date, calculate differences between two dates, or format timestamps for reporting. These functions are essential for tasks like tracking orders, scheduling events, or generating time-based reports.

10. NOW() : Returns the current date and time.

SELECT NOW();

Example:

SELECT NOW();

Shows the current system date and time.

11. CURDATE() : Returns the current date only.

SELECT CURDATE();

Example:

SELECT CURDATE();

Shows today’s date in YYYY-MM-DD format.

12. DATEDIFF() : Returns the number of days between two dates.

SELECT DATEDIFF(date1, date2);

Example:

SELECT DATEDIFF('2025-07-10', '2025-07-01');

Returns 9 (the difference between two dates in days).