Master Relational Databases: MySQL & PostgreSQL
Learn professional database administration, backup strategies, and practical implementation for both MySQL and PostgreSQL databases in production environments.
MySQL vs PostgreSQL: Basic Database Operations
-- MySQL: Creating a Table
CREATE DATABASE ecommerce;
USE ecommerce;
CREATE TABLE products (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(100) NOT NULL,
price DECIMAL(10,2) NOT NULL,
stock INT DEFAULT 0,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- PostgreSQL: Creating a Table
CREATE DATABASE ecommerce;
\c ecommerce -- Connect to database
CREATE TABLE products (
id SERIAL PRIMARY KEY,
name VARCHAR(100) NOT NULL,
price DECIMAL(10,2) NOT NULL,
stock INT DEFAULT 0,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Both: Inserting Data
INSERT INTO products (name, price, stock)
VALUES ('Laptop', 999.99, 10),
('Mouse', 29.99, 50);
-- Both: Creating a Backup (MySQL vs PostgreSQL)
-- MySQL: mysqldump -u root -p ecommerce > backup.sql
-- PostgreSQL: pg_dump -U postgres ecommerce > backup.sql
Module 1: Installation & Setup
Get started with MySQL and PostgreSQL on any platform with professional configuration
Database Fundamentals
- Introduction to Relational Databases
- MySQL vs PostgreSQL Overview
- System Requirements & Environment
- Choosing the Right Database
- Understanding ACID Properties
MySQL Installation
- Installer Method (Windows/Mac)
- Command Line Installation
- Docker Container Setup
- MySQL Workbench Setup
- Testing Installation & Connectivity
PostgreSQL Installation
- Installer with pgAdmin
- Command Line Setup
- Docker Container Deployment
- pgAdmin Configuration
- Connection Testing & Validation
MySQL
Best For: Web applications, read-heavy workloads
Key Features: Fast reads, replication, mature ecosystem
Default Port: 3306
Owned By: Oracle Corporation
PostgreSQL
Best For: Complex queries, data integrity
Key Features: Advanced SQL, JSON support, extensible
Default Port: 5432
License: Open Source (PostgreSQL License)
Installer
Graphical setup for beginners
Windows, macOS, Linux GUICommand Line
Advanced control and automation
Linux, macOS, DockerDocker
Containerized deployment
Isolation, easy scalingCloud
Managed database services
AWS RDS, GCP Cloud SQL, AzureModule 2: Backup & Restore
Implement reliable backup strategies and disaster recovery plans for production databases
Backup Fundamentals
- Importance of Database Backups
- Backup Types & Strategies
- Full vs Incremental Backups
- Logical vs Physical Backups
- Backup Schedule Planning
MySQL Backup Methods
- mysqldump Command Line
- MySQL Workbench GUI Backup
- Physical File System Backups
- Binary Log Backups
- Automated Backup Scripts
PostgreSQL Backup Methods
- pg_dump for Single Database
- pg_dumpall for All Databases
- pg_basebackup for Physical
- Continuous Archiving
- Point-in-Time Recovery
MySQL mysqldump
# Backup single database mysqldump -u root -p database_name > backup.sql # Backup all databases mysqldump -u root -p --all-databases > all_backup.sql # Backup with compression mysqldump -u root -p database_name | gzip > backup.sql.gz
PostgreSQL pg_dump
# Backup single database pg_dump -U postgres database_name > backup.sql # Backup with custom format pg_dump -U postgres -Fc database_name > backup.dump # Backup all databases pg_dumpall -U postgres > all_backup.sql
Automation Cron Jobs
# Daily backup at 2 AM (Linux/Mac) 0 2 * * * mysqldump -u root -pPASSWORD dbname > /backups/db_$(date +\%Y\%m\%d).sql # PostgreSQL daily backup 0 2 * * * pg_dump -U postgres dbname > /backups/pg_$(date +\%Y\%m\%d).sql # Weekly full backup 0 2 * * 0 mysqldump -u root -pPASSWORD --all-databases > /backups/full_$(date +\%Y\%m\%d).sql
MySQL Restoration
mysql -u root -p database_name < backup.sql- Create database first if needed
- Check for errors during restore
- Verify data integrity
PostgreSQL Restoration
psql -U postgres database_name < backup.sql- Drop database first if replacing
- Use pg_restore for custom format
- Check log for errors
Cloud Backups
- AWS RDS automated backups
- Google Cloud SQL snapshots
- Azure SQL backups
- Cross-region replication
Module 3: Practical Implementation
Build real-world database systems with hands-on projects and best practices
Database Design
- Creating Databases & Schemas
- MySQL vs PostgreSQL Data Types
- Basic SQL Operations (CRUD)
- Primary & Foreign Key Relationships
- Real-World Table Design Examples
Advanced Operations
- JOIN Operations (All Types)
- Constraints Implementation
- Views & Indexes Creation
- Query Optimization Basics
- Data Import/Export Techniques
Administration & Security
- Stored Procedures & Functions
- User Management & Permissions
- Role-Based Access Control
- Audit Logging Implementation
- Performance Monitoring
E-Commerce Database Project
Complete implementation guide for an online store:
- Schema Design: Products, Customers, Orders, Payments
- Relationships: One-to-Many, Many-to-Many with junction tables
- Sample Data: Insert realistic test data
- Reporting Queries: Sales reports, inventory alerts
- Backup Strategy: Daily incremental, weekly full backups
- User Management: Admin, staff, customer roles
Learning Management System
Educational platform database design:
- Entities: Students, Courses, Instructors, Assignments
- Advanced Features: Enrollment system, grades tracking
- Complex Queries: Student progress reports
- Performance: Indexes on frequently queried columns
- Security: FERPA compliance, data protection
- Export: Grade reports in CSV/PDF format
Design Phase
Create ER diagrams, identify entities, define relationships, choose appropriate data types
Implementation
Create tables, establish relationships, implement constraints, add indexes for performance
Data Population
Insert sample data, import from CSV/JSON, validate data integrity, create test scenarios
Query Development
Write CRUD operations, complex JOIN queries, reporting queries, optimize with EXPLAIN
Administration
Create users with permissions, implement backup strategy, monitor performance, document
Database Tools & Management Platforms
Essential tools for professional database administration and development
MySQL Workbench
Visual design, SQL development, administration
pgAdmin
PostgreSQL administration, query tool, monitoring
Command Line
mysql, psql clients for advanced operations
Cloud Platforms
AWS RDS, Google Cloud SQL, Azure Database
Task 1 Install Both Databases
Install MySQL and PostgreSQL using different methods (installer, Docker, command line)
Task 2 Create E-Commerce Schema
Design and implement complete e-commerce database with all required tables and relationships
Task 3 Implement Backup Strategy
Create automated backup scripts for both databases with compression and retention policy
Task 4 Performance Optimization
Identify slow queries, add appropriate indexes, and optimize table structures
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