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:
| Guide | Contents |
|---|---|
| Adding Columns | Adding Columns |
| Renaming Columns | Renaming Columns |
| Creating Indexes Non-blocking | Creating Indexes Non-blocking |
| Data Transformations | Data Transformations |
| Table Structure Changes | Table Structure Changes |
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