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mysql

MySQL is the world's most popular open-source relational database management system. Learn installation, SQL queries, indexing strategies, replication setup, and client integration with Node.js (mysql2) and Python (mysql-connector).

#mysql#sql#relational-database#replication#nodejs#python
terminal-skillsv1.0.0
Works with:claude-codeopenai-codexgemini-clicursor
Source

Usage

$
✓ Installed mysql v1.0.0

Getting Started

  1. Install the skill using the command above
  2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
  3. Reference the skill in your prompt
  4. The AI will use the skill's capabilities automatically

Example Prompts

  • "Analyze the sales data in revenue.csv and identify trends"
  • "Create a visualization comparing Q1 vs Q2 performance metrics"

Information

Version
1.0.0
Author
terminal-skills
Category
Data & AI
License
Apache-2.0

Documentation

MySQL is a robust relational database used from small apps to large-scale web platforms. It supports ACID transactions, replication, and extensive SQL features.

Installation

bash
# Docker (recommended for development)
docker run -d --name mysql -p 3306:3306 \
  -e MYSQL_ROOT_PASSWORD=secret \
  -e MYSQL_DATABASE=myapp \
  mysql:8

# Ubuntu/Debian
sudo apt-get install mysql-server
sudo mysql_secure_installation

# macOS
brew install mysql && brew services start mysql

# Node.js driver
npm install mysql2

# Python driver
pip install mysql-connector-python

CLI Basics

bash
# Connect to MySQL
mysql -u root -p

# Connect to specific database
mysql -u root -p myapp

# Execute query from command line
mysql -u root -p -e "SHOW DATABASES;"

# Import SQL file
mysql -u root -p myapp < schema.sql

# Export database
mysqldump -u root -p myapp > backup.sql

Schema Design

sql
-- schema.sql: Create tables with proper types, indexes, and constraints
CREATE DATABASE IF NOT EXISTS myapp CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
USE myapp;

CREATE TABLE users (
  id BIGINT UNSIGNED AUTO_INCREMENT PRIMARY KEY,
  email VARCHAR(255) NOT NULL UNIQUE,
  name VARCHAR(100) NOT NULL,
  password_hash VARCHAR(255) NOT NULL,
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
  updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  INDEX idx_created (created_at)
) ENGINE=InnoDB;

CREATE TABLE orders (
  id BIGINT UNSIGNED AUTO_INCREMENT PRIMARY KEY,
  user_id BIGINT UNSIGNED NOT NULL,
  total_cents INT UNSIGNED NOT NULL DEFAULT 0,
  status ENUM('pending','paid','shipped','completed','cancelled') DEFAULT 'pending',
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
  FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE,
  INDEX idx_user_status (user_id, status)
) ENGINE=InnoDB;

Indexing Strategies

sql
-- indexing.sql: Common indexing patterns for performance
-- Composite index for multi-column queries (leftmost prefix rule)
CREATE INDEX idx_orders_status_date ON orders(status, created_at);

-- Covering index — query answered entirely from index
CREATE INDEX idx_users_email_name ON users(email, name);

-- Full-text index for search
ALTER TABLE products ADD FULLTEXT INDEX ft_search (name, description);
SELECT * FROM products WHERE MATCH(name, description) AGAINST('laptop' IN BOOLEAN MODE);

-- Check query execution plan
EXPLAIN ANALYZE SELECT * FROM orders WHERE user_id = 42 AND status = 'paid';

Node.js with mysql2

javascript
// db.js: MySQL connection pool with mysql2 and promise API
const mysql = require('mysql2/promise');

const pool = mysql.createPool({
  host: process.env.DB_HOST || 'localhost',
  user: process.env.DB_USER || 'root',
  password: process.env.DB_PASS || 'secret',
  database: 'myapp',
  waitForConnections: true,
  connectionLimit: 10,
  charset: 'utf8mb4',
});

async function getUser(id) {
  const [rows] = await pool.execute(
    'SELECT id, email, name FROM users WHERE id = ?',
    [id]
  );
  return rows[0] || null;
}

async function createOrder(userId, totalCents) {
  const conn = await pool.getConnection();
  try {
    await conn.beginTransaction();
    const [result] = await conn.execute(
      'INSERT INTO orders (user_id, total_cents) VALUES (?, ?)',
      [userId, totalCents]
    );
    await conn.commit();
    return result.insertId;
  } catch (err) {
    await conn.rollback();
    throw err;
  } finally {
    conn.release();
  }
}

module.exports = { pool, getUser, createOrder };

Python Client

python
# db.py: MySQL connection with mysql-connector-python
import mysql.connector
from mysql.connector import pooling

pool = pooling.MySQLConnectionPool(
    pool_name="myapp",
    pool_size=5,
    host="localhost",
    user="root",
    password="secret",
    database="myapp",
    charset="utf8mb4",
)

def get_user(user_id):
    conn = pool.get_connection()
    try:
        cursor = conn.cursor(dictionary=True)
        cursor.execute("SELECT id, email, name FROM users WHERE id = %s", (user_id,))
        return cursor.fetchone()
    finally:
        conn.close()

def insert_users(users):
    conn = pool.get_connection()
    try:
        cursor = conn.cursor()
        cursor.executemany(
            "INSERT INTO users (email, name, password_hash) VALUES (%s, %s, %s)",
            users,
        )
        conn.commit()
    finally:
        conn.close()

Replication Setup

ini
# my.cnf (primary): Enable binary logging for replication
[mysqld]
server-id = 1
log-bin = mysql-bin
binlog-format = ROW
gtid-mode = ON
enforce-gtid-consistency = ON
sql
-- replication.sql: Configure replica to follow primary
-- On primary: create replication user
CREATE USER 'repl'@'%' IDENTIFIED BY 'repl_password';
GRANT REPLICATION SLAVE ON *.* TO 'repl'@'%';

-- On replica: start replication
CHANGE REPLICATION SOURCE TO
  SOURCE_HOST='primary-host',
  SOURCE_USER='repl',
  SOURCE_PASSWORD='repl_password',
  SOURCE_AUTO_POSITION=1;
START REPLICA;
SHOW REPLICA STATUS\G

Backup and Maintenance

bash
# backup.sh: Automated backup with compression
mysqldump -u root -p --single-transaction --routines --triggers myapp | gzip > "backup_$(date +%Y%m%d).sql.gz"

# Restore from backup
gunzip < backup_20260219.sql.gz | mysql -u root -p myapp