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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

Step 3: Basic SQL Commands

SQL commands are basic instructions used to create, manage, and manipulate data in a database.
They allow you to add, modify, retrieve, or delete information and also define the structure of tables and databases.

1. CREATE

The CREATE command is used to create new databases, tables, views, or other database objects.
It defines the structure and columns of a table or schema.

CREATE TABLE table_name (
  column1 datatype [constraints],
  column2 datatype [constraints],
  ...
);

Example:

CREATE TABLE students (
  id INT PRIMARY KEY,
  name VARCHAR(100),
  age INT
);

This creates a table named students with three columns: id, name, and age.

2. INSERT

The INSERT command is used to add new data (rows) into a table.
You must specify the column names and values to insert.

INSERT INTO table_name (column1, column2, ...)
VALUES (value1, value2, ...);

Example:

INSERT INTO students (id, name, age)
VALUES (1, 'Alice', 20);

This adds a student named Alice, aged 20, with ID 1 into the table.

3. SELECT

The SELECT command retrieves data from one or more tables.
It can fetch specific columns, filter rows, and sort or group results.

SELECT column1, column2, ...
FROM table_name;

-- OR to select all:
SELECT * FROM table_name;

Example:

SELECT * FROM students;

This displays all rows and columns from the students table.

4. UPDATE

The UPDATE command is used to change existing data in a table.
You can modify one or more columns based on a condition using WHERE.

UPDATE table_name
SET column1 = value1, column2 = value2, ...
WHERE condition;

Example:

UPDATE students
SET age = 21
WHERE id = 1;

This updates the age of the student with ID 1 to 21.

5. DELETE

The DELETE command removes data from a table.
Use it with WHERE to delete specific rows or without it to remove all records.

DELETE FROM table_name
WHERE condition;

Example:

DELETE FROM students
WHERE id = 1;

This deletes the student whose ID is 1 from the table.

6. ALTER

The ALTER command modifies an existing table’s structure.
You can add, delete, or modify columns without affecting the stored data.

-- To add a column
ALTER TABLE table_name
ADD column_name datatype;

-- To drop a column
ALTER TABLE table_name
DROP COLUMN column_name;

-- To modify a column
ALTER TABLE table_name
MODIFY column_name new_datatype;

Example:

ALTER TABLE students
ADD grade VARCHAR(2);

This adds a new column grade to the students table.

7. DROP

The DROP command permanently deletes a database or table along with all its data and structure.
This action cannot be undone.

DROP TABLE table_name;
DROP DATABASE database_name;

Example:

DROP TABLE students;

This removes the entire students table from the database.

8. WHERE

The WHERE clause filters records that meet specific conditions.
It is commonly used with SELECT, UPDATE, and DELETE.

SELECT * FROM table_name
WHERE condition;

Example:

SELECT * FROM students
WHERE age = 18;

This retrieves only the students whose age is 18.

9. ORDER BY

The ORDER BY clause sorts query results by one or more columns,
either in ascending (ASC) or descending (DESC) order.

SELECT column1, column2
FROM table_name
ORDER BY column_name ASC|DESC;

Example:

SELECT * FROM students
ORDER BY age ASC;

This lists students from youngest to oldest based on their age.

10. DISTINCT

The DISTINCT keyword in a SELECT query returns only unique (non-duplicate) values from a column.

SELECT DISTINCT column_name
FROM table_name;

Example:

SELECT DISTINCT grade FROM students;

This displays only the different grade values without repetition.