Database Migration Management

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Implement robust database migration systems with version control, rollback capabilities, and data transformation strategies. Includes migration frameworks and production deployment patterns.

When to Use

• Schema versioning and evolution
• Data transformations and cleanup
• Adding/removing tables and columns
• Index creation and optimization
• Migration testing and validation
• Rollback planning and execution
• Multi-environment deployments

Quick Start

Minimal working example:

-- Create migrations tracking table
CREATE TABLE schema_migrations (
  version BIGINT PRIMARY KEY,
  name VARCHAR(255) NOT NULL,
  executed_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
  duration_ms INTEGER,
  checksum VARCHAR(64)
);

-- Create migration log table
CREATE TABLE migration_logs (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  version BIGINT NOT NULL,
  status VARCHAR(20) NOT NULL,
  error_message TEXT,
  rolled_back_at TIMESTAMP,
  executed_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

-- Function to record migration
CREATE OR REPLACE FUNCTION record_migration(
  p_version BIGINT,
  p_name VARCHAR,
  p_duration_ms INTEGER
) RETURNS void AS $$
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Best Practices

✅ DO

• Follow established patterns and conventions
• Write clean, maintainable code
• Add appropriate documentation
• Test thoroughly before deploying

❌ DON'T

• Skip testing or validation
• Ignore error handling
• Hard-code configuration values