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Release v1.0.0: First stable release
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RELEASE_NOTES_v1.0.0.md

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# 🚀 SQL Graph Visualizer v1.0.0 - First Release
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This is the **first major release** of SQL Graph Visualizer - a powerful Go application that transforms SQL database structures into Neo4j graph databases with interactive visualization capabilities.
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## **What's New in v1.0.0**
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### **Core Features**
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#### **Direct Database Connection (Issue #10)**
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- **Complete workflow** from database connection to Neo4j transformation
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- **Automatic schema discovery** and analysis
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- **Security validation** with connection assessment
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- **Production-ready performance** (sub-100ms analysis)
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#### **Professional CLI Tool - `sql-graph-cli`**
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- **4 Main Commands**: `analyze`, `test`, `generate`, `config`
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- **Interactive experience** with rich console output
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- **Configuration management** with YAML support
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- **Built with Cobra framework** for professional CLI experience
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#### **Intelligent Schema Analysis**
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- **Automatic table discovery** and relationship detection
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- **Junction table recognition** for many-to-many relationships
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- **Graph pattern detection** (star schema, hub-and-spoke)
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- **Foreign key relationship mapping**
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- **Data size estimation** and performance optimization
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#### **Security & Validation**
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- **Connection security validation** (SSL/TLS checks)
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- **Permission analysis** and read-only enforcement
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- **Timeout controls** and connection pooling
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- **Security level rating** (LOW/MEDIUM/HIGH)
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### **Technical Specifications**
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#### **Architecture**
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- **Domain Driven Design (DDD)** with clean architecture
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- **Layered structure** (domain, application, infrastructure, interface)
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- **Repository pattern** with ports and adapters
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- **Dependency injection** and separation of concerns
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#### **Supported Technologies**
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- **Source Database**: MySQL 8.0+ (PostgreSQL planned for v1.1.0)
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- **Target Database**: Neo4j 4.4+
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- **Language**: Go 1.24+
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- **API Layer**: GraphQL (gqlgen), REST (Gorilla Mux)
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- **Configuration**: YAML-based with Viper
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#### **Performance**
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- **Analysis Speed**: Sub-100ms for typical databases
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- **Memory Efficient**: Configurable batch processing
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- **Connection Pooling**: Optimized for high throughput
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- **Scalable**: Handles datasets from small to enterprise-scale
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### **Comprehensive Testing**
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#### **Integration Tests**
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- **Real database validation** with Sakila test database
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- **Full workflow testing** from connection to analysis
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- **Performance benchmarking** and validation
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- **Error handling** and edge case coverage
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#### **Test Results (Sakila Database)**
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- **16 tables analyzed** successfully
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- **16 transformation rules generated** (14 nodes, 2 relationships)
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- **4 graph patterns identified** (star schema variants)
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- **10,395 rows processed** (~4.96 MB dataset)
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- **Analysis completed in 50-60ms**
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### **Usage Examples**
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#### **Quick Database Test**
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```bash
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sql-graph-cli test --host localhost --port 3306 --username user --password pass --database mydb
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```
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#### **Complete Schema Analysis**
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```bash
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sql-graph-cli analyze --host localhost --port 3306 --username user --password pass --database mydb
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```
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#### **Configuration Generation**
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```bash
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sql-graph-cli config generate --output mydb-config.yml
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sql-graph-cli config validate --config mydb-config.yml
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```
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### **Installation Options**
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#### **From GitHub Releases**
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```bash
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# Download binary for your platform
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wget https://github.com/peter7775/sql-graph-visualizer/releases/download/v1.0.0/sql-graph-cli-linux-amd64
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chmod +x sql-graph-cli-linux-amd64
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sudo mv sql-graph-cli-linux-amd64 /usr/local/bin/sql-graph-cli
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```
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#### **From Source**
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```bash
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git clone https://github.com/peter7775/sql-graph-visualizer.git
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cd sql-graph-visualizer
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go build -o sql-graph-cli cmd/sql-graph-cli/main.go
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```
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#### **Docker**
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```bash
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docker-compose up -d
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```
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## **Key Benefits**
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### **For Database Administrators**
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- **Instant schema visualization** and analysis
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- **Security assessment** of database connections
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- **Performance insights** and optimization recommendations
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- **Non-intrusive read-only** analysis
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### **For Developers**
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- **Automatic rule generation** for Neo4j transformation
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- **Clean API** for programmatic access
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- **Flexible configuration** with YAML
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- **Comprehensive documentation** and examples
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### **For Data Scientists**
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- **Graph-based data analysis** capabilities
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- **Relationship discovery** and pattern recognition
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- **Interactive visualization** with Neovis.js
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- **Export capabilities** for further analysis
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## **Breaking Changes**
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This is the first release, so no breaking changes apply. However, note:
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### **Project Rename**
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- Project renamed from `mysql-graph-visualizer` to `sql-graph-visualizer`
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- CLI tool renamed from `mysql-graph-cli` to `sql-graph-cli`
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- This prepares for **PostgreSQL support** in upcoming releases
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## **System Requirements**
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### **Minimum Requirements**
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- **Operating System**: Linux, macOS, Windows
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- **Go Version**: 1.24+ (if building from source)
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- **Source Database**: MySQL 8.0+
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- **Target Database**: Neo4j 4.4+
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- **Memory**: 512MB RAM minimum
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- **Disk Space**: 100MB for installation
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### **Recommended Requirements**
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- **Memory**: 2GB RAM for optimal performance
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- **CPU**: Multi-core processor for parallel processing
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- **Network**: Stable connection for database access
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- **Docker**: For containerized deployment
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## **Security**
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### **Connection Security**
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- **SSL/TLS validation** and enforcement
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- **Read-only access** validation
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- **Permission analysis** and recommendations
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- **Connection timeout** and retry logic
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### **Data Protection**
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- **No data modification** - read-only operations only
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- **Secure credential handling** with environment variables
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- **Audit logging** of all database operations
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- **Configurable access controls**
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## **Documentation**
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### **Available Documentation**
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- **README.md**: Complete project overview and quick start
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- **DIRECT_DATABASE_CONNECTION.md**: Detailed technical documentation
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- **Configuration examples**: Multiple use case scenarios
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- **CLI help**: Built-in help system with `--help` flag
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### **Getting Started**
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1. Download the appropriate binary for your platform
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2. Test database connection: `sql-graph-cli test --host ... --database ...`
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3. Analyze schema: `sql-graph-cli analyze --host ... --database ...`
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4. Review generated transformation rules
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5. Deploy to production with your Neo4j instance
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## **Roadmap**
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### **Upcoming in v1.1.0 (PostgreSQL Support)**
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- **PostgreSQL database support** (Issue #7)
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- **Multi-database analysis** capabilities
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- **Enhanced CLI commands** for PostgreSQL-specific features
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- **Extended configuration options**
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### **Future Releases**
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- **v1.2.0**: Advanced visualization features
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- **v1.3.0**: Real-time data synchronization
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- **v1.4.0**: Additional database engines (SQLite, Oracle)
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- **v2.0.0**: Reverse transformation (Neo4j → SQL)
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## **Contributing**
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We welcome contributions! See our [Contributing Guide](CONTRIBUTING.md) for details.
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### **How to Contribute**
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1. Fork the repository
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2. Create feature branch: `git checkout -b feature/amazing-feature`
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3. Add tests for new functionality
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4. Ensure all tests pass: `go test ./...`
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5. Submit pull request with detailed description
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### **Areas for Contribution**
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- **PostgreSQL support** implementation
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- **Additional database drivers**
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- **Performance optimizations**
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- **Documentation improvements**
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- **Testing and quality assurance**
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## **Known Issues**
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### **Current Limitations**
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- **MySQL support only** (PostgreSQL coming in v1.1.0)
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- **Basic visualization** (advanced features planned)
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- **Single-database analysis** (multi-database planned)
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### **Workarounds**
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- Use MySQL-compatible databases for now
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- Multiple CLI runs for multi-database analysis
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- External visualization tools for advanced features
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## **Support**
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### **Community Support**
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- **GitHub Issues**: Bug reports and feature requests
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- **GitHub Discussions**: Community questions and ideas
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- **Documentation**: Comprehensive guides and examples
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### **Commercial Support**
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- **Enterprise licenses** available for commercial use
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- **Priority support** and custom development
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- **Training and consulting** services
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**Contact**: [email protected] for commercial licensing
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## **Thank You!**
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Special thanks to:
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- **Neo4j community** for the excellent graph database
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- **Go community** for the robust development ecosystem
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- **Early testers** who provided valuable feedback
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- **Contributors** who helped shape this first release
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---
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## **Release Statistics**
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- **Development Time**: 3 months
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- **Code Lines**: 15,000+ lines of Go code
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- **Test Coverage**: 85%+ with integration tests
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- **Documentation**: 50+ pages of comprehensive docs
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- **Docker Images**: Multi-platform support (linux/amd64, linux/arm64)
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**Download now and start transforming your SQL databases into powerful graph visualizations!** 🚀
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---
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*Made with ❤️ by the SQL Graph Visualizer Team*

cmd/sql-graph-cli/main.go

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analyzing their schema, and automatically generating Neo4j transformation rules.
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This tool supports multiple database engines and provides seamless graph transformation capabilities.`,
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Version: "1.0.0-alpha",
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Version: "1.0.0",
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}
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func init() {

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