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SQL Graph Visualizer v1.1.0 - PostgreSQL Support

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@peter7775 peter7775 released this 06 Sep 17:18
· 123 commits to main since this release
v1.1.0
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🚀 SQL Graph Visualizer v1.1.0 - PostgreSQL Support Implementation

This major feature release introduces comprehensive PostgreSQL support to the SQL Graph Visualizer, enabling seamless operation with both MySQL and PostgreSQL databases.

Key Features

Multi-Database Architecture

  • Generic DatabasePort Interface: Unified interface abstracting database operations
  • Repository Factory Pattern: Dynamic database repository selection
  • Full Backward Compatibility: All existing MySQL functionality preserved

PostgreSQL Integration

  • Complete Connectivity: Full PostgreSQL driver integration with connection pooling
  • Query Execution: Supports all SQL operations needed for data transformation
  • Configuration Support: Environment-based configuration with SSL options
  • Chinook Sample Database: Ready-to-use PostgreSQL setup with sample data

Technical Improvements

  • Refactored Transform Service: Updated to use generic database interface
  • Enhanced Configuration System: Support for database type selection via config
  • Docker Compose Setup: Complete PostgreSQL development environment
  • Validation Suite: Comprehensive testing and validation scripts

Quick Start

PostgreSQL Setup

# Start PostgreSQL with Chinook sample data
docker-compose -f docker-compose.postgresql.yml up -d

# Run application with PostgreSQL
CONFIG_PATH=config/config-postgresql-chinook.yml go run cmd/main.go

Validation

# Run comprehensive validation
./validate_postgresql_implementation.sh

Development

Essential Commands

# Build and run
make build && make run

# Run tests
make test

# Development setup
make dev

Impact

This implementation provides a solid foundation for multi-database support while maintaining the application's core functionality and performance characteristics. Users can now:

  1. Choose Their Database: Work with either MySQL or PostgreSQL
  2. Migrate Seamlessly: Switch between database types without code changes
  3. Scale Flexibility: Use the best database for their specific use case
  4. Maintain Performance: Enjoy consistent performance across both database types

Related

  • Closes Issue #7: PostgreSQL Support Implementation
  • Pull Request #14: PostgreSQL Support Implementation - Issue #7

Full Changelog: v1.0.0...v1.1.0

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