MySQL tutorial 1
MySQL is an open-source relational database management system (RDBMS) that uses Structured Query Language (SQL) for storing, retrieving, and managing data. It is widely used in web development, enterprise applications, and data-driven projects due to its speed, reliability, and ease of use. Developed by MySQL AB and now owned by Oracle Corporation, MySQL supports multiple platforms and integrates well with popular programming languages like Java, PHP, and Python.
MySQL allows users to create and manage databases, tables, indexes, views, stored procedures, and triggers. It provides features such as ACID-compliant transactions, replication, clustering, and security through user roles and privileges. MySQL is commonly used with web servers like Apache and Nginx in LAMP (Linux, Apache, MySQL, PHP) stacks. Its scalability and large community support make it a preferred choice for beginners and professionals alike in both small applications and enterprise-grade solutions.
MySQL Learning Topics
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1. Introduction to Databases and MySQL
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- - What is a database?
- - Relational vs Non-relational databases
- - Overview of MySQL
- - Installing MySQL and MySQL Workbench
- - Connecting to a MySQL server
2. Database & Table Management
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- - CREATE DATABASE, USE, DROP DATABASE
- - CREATE TABLE syntax
- - Data types in MySQL (INT, VARCHAR, DATE, etc.)
- - Primary keys and foreign keys
- - ALTER TABLE (ADD, MODIFY, DROP column)
- - DROP TABLE, RENAME TABLE
3. Data Manipulation (CRUD)
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- - INSERT INTO
- - SELECT (Basic and Advanced)
- - UPDATE
- - DELETE
- - Using WHERE clause
- - ORDER BY, LIMIT, OFFSET
- - Working with NULL values
4. Filtering and Searching
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- - LIKE and NOT LIKE
- - IN, NOT IN
- - BETWEEN
- - IS NULL, IS NOT NULL
- - Comparison operators (=, <>, >, <, etc.)
5. Functions in MySQL
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- String functions (CONCAT, LENGTH, UPPER, LOWER)
- Numeric functions (ROUND, CEIL, FLOOR, ABS)
- Date functions (NOW, CURDATE, DATEDIFF, DATE_FORMAT)
- Aggregate functions (COUNT, SUM, AVG, MAX, MIN)
6. Grouping and Aggregation
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- GROUP BY
- HAVING vs WHERE
- Combining with aggregate functions
7. Joins and Relationships
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- INNER JOIN
- LEFT JOIN (LEFT OUTER JOIN)
- RIGHT JOIN (RIGHT OUTER JOIN)
- FULL OUTER JOIN (via UNION)
- CROSS JOIN
- Self-joins
- Multi-table joins
8. Subqueries
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- Scalar subqueries
- Correlated subqueries
- IN, EXISTS, NOT EXISTS in subqueries
9. Indexes and Performance
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- What is an index?
- Creating and dropping indexes
- Unique indexes
- Composite indexes
- EXPLAIN query to analyze performance
10. User Management and Security
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- Creating users: CREATE USER
- GRANT and REVOKE permissions
- Setting and changing passwords
- Using roles (MySQL 8.0+)
- Best practices for security
11. Views
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- CREATE VIEW
- Updating and dropping views
- Updatable vs Non-updatable views
12. Stored Procedures and Functions
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- CREATE PROCEDURE and CREATE FUNCTION
- IN, OUT, INOUT parameters
- BEGIN ... END blocks
- DECLARE, IF, WHILE, CASE
- CALL statement
13. Triggers
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- BEFORE INSERT/UPDATE/DELETE
- AFTER INSERT/UPDATE/DELETE
- Creating and managing triggers
14. Transactions and ACID
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- START TRANSACTION
- COMMIT and ROLLBACK
- SAVEPOINT
- Transaction isolation levels
15. Exporting and Importing Data
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- mysqldump for backups
- Exporting to CSV from Workbench
- Importing with LOAD DATA INFILE
- Importing using Workbench
16. MySQL with Other Tools
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- Connecting MySQL with Java, Python, PHP
- MySQL and web development
- Using MySQL in Spring Boot
17. Reporting and Analysis
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- Creating summary reports with GROUP BY
- Pivot tables with CASE
- Generating daily, weekly, and monthly reports
18. Advanced MySQL Topics (Optional)
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- JSON data type and functions
- CTEs (Common Table Expressions) – MySQL 8+
- Window functions – MySQL 8+
- Recursive queries
- Materialized views (manual via tables)
- Partitioning large tables
- Performance tuning and query optimization
19. Practice Projects & Exercises
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- Create a Library Management System
- Build a Student Result System
- E-commerce Order and Product DB
- Hospital Management DB schema
- Write 50+ queries based on realistic scenarios
Conclusion:
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By covering these topics step-by-step, you’ll gain a strong command of MySQL for development, data analysis, and database design.
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