PostgreSQL Migration Workflow

A comprehensive demonstration of CQL's integrated schema migration workflow using PostgreSQL, showing how to manage database schema evolution with PostgreSQL-specific features, automatic schema file synchronization, and production-ready deployment patterns.

🎯 What You'll Learn

This example teaches you how to:

  • Set up PostgreSQL migration workflows with automatic schema synchronization

  • Leverage PostgreSQL-specific features like JSONB, arrays, and advanced indexing

  • Handle PostgreSQL migration patterns with proper foreign key constraints

  • Manage production PostgreSQL deployments with migration safety

  • Use PostgreSQL-specific data types and constraints in migrations

  • Implement advanced PostgreSQL features like partial indexes and expression indexes

  • Handle PostgreSQL-specific rollback scenarios safely

  • Optimize migrations for PostgreSQL performance

🚀 Quick Start

# Set up PostgreSQL database (if not already running)
# Ensure DATABASE_URL environment variable is set
export DATABASE_URL="postgresql://user:pass@localhost/cql_example_db"

# Run the PostgreSQL migration workflow example
crystal examples/schema_migration_workflow_pg.cr

📁 Code Structure

🔧 Key Features

1. PostgreSQL Schema Definition

2. PostgreSQL Migration System Configuration

3. PostgreSQL-Specific Migration Definition

🏗️ PostgreSQL Migration Workflow Architecture

📊 PostgreSQL Migration Examples

Complete PostgreSQL Migration Workflow

PostgreSQL-Specific Migration Patterns

🔧 PostgreSQL-Specific Features

Advanced Indexing

JSONB and Array Support

📊 Generated PostgreSQL Schema Files

PostgreSQL Schema File Structure

Using PostgreSQL Schema in Models

🎯 PostgreSQL-Specific Workflow Scenarios

New Team Member Setup (PostgreSQL)

Resolving Schema Conflicts (PostgreSQL)

Production Deployment (PostgreSQL)

🔧 PostgreSQL Configuration Examples

Development Configuration (PostgreSQL)

Production Configuration (PostgreSQL)

🎯 PostgreSQL Best Practices

1. PostgreSQL-Specific Migration Naming

2. PostgreSQL Migration Safety

3. PostgreSQL Schema File Management

📚 Next Steps

Advanced Topics

PostgreSQL-Specific Considerations

  • Performance Optimization - Use PostgreSQL-specific indexes and features

  • Data Type Selection - Choose appropriate PostgreSQL data types

  • Constraint Management - Leverage PostgreSQL constraints and checks

  • Backup Strategy - Implement PostgreSQL-specific backup procedures

  • Connection Pooling - Configure PostgreSQL connection pools appropriately

🔧 PostgreSQL Troubleshooting

Common PostgreSQL Issues

  1. Connection issues - Check DATABASE_URL and PostgreSQL server status

  2. Permission errors - Ensure database user has proper permissions

  3. Data type conflicts - Verify PostgreSQL data type compatibility

  4. Index creation failures - Check for duplicate index names

Debug PostgreSQL Migration Issues


🏁 Summary

This PostgreSQL migration workflow example demonstrates:

  • PostgreSQL-specific migration patterns with advanced features

  • JSONB and array data type support for flexible data storage

  • Advanced indexing strategies including expression and partial indexes

  • Production-ready PostgreSQL deployment with proper migration handling

  • PostgreSQL-specific constraints and data validation

  • Team collaboration patterns for PostgreSQL schema management

  • PostgreSQL performance optimization techniques

Ready to implement PostgreSQL migration workflows in your CQL application? Start with basic migrations and gradually add PostgreSQL-specific features as needed! 🚀

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