Build universal database explorer

DATABASE_EXPLORER_README.md

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+# Database Explorer
+
+A comprehensive database exploration tool that supports MongoDB, PostgreSQL, MySQL, and SQLite databases. This tool provides a modern, intuitive interface for database administrators and developers to connect to, explore, and analyze their databases.
+
+## Features
+
+### 🔌 Multi-Database Support
+- **MongoDB**: Native support for collections, documents, and MongoDB query syntax
+- **PostgreSQL**: Full SQL support with schema introspection
+- **MySQL**: Complete MySQL compatibility
+- **SQLite**: Lightweight database support
+
+### 🚀 Core Functionality
+- **Connection Management**: Create, save, and manage multiple database connections
+- **Database Exploration**: Browse tables, collections, views, and their contents
+- **Query Execution**: Run custom queries with syntax highlighting
+- **Schema Inspection**: Detailed view of database structure, indexes, and constraints
+- **Data Visualization**: Multiple chart types and export options
+
+### 🎯 Key Components
+
+#### 1. Connection Manager
+- Secure connection storage
+- Connection status monitoring
+- Support for connection strings and individual parameters
+- Authentication for SQL databases
+
+#### 2. Database Explorer
+- Tree-view navigation of database objects
+- Object metadata (size, record count, last modified)
+- Quick data preview
+- Object type identification
+
+#### 3. Query Builder
+- Visual query construction
+- Drag-and-drop field selection
+- Condition builder with logical operators
+- Support for both SQL and MongoDB syntax
+- Query templates and examples
+
+#### 4. Schema Inspector
+- Detailed field information
+- Index and constraint details
+- Relationship visualization
+- Schema export capabilities
+
+#### 5. Data Visualizer
+- Multiple chart types (Bar, Pie, Line, Table)
+- Interactive data filtering
+- Sorting and search capabilities
+- Data export (CSV, JSON)
+
+## Getting Started
+
+### 1. Access the Explorer
+Navigate to the Database module in your dashboard and click on "Database Explorer" or go directly to `/database/explorer`.
+
+### 2. Create a Connection
+1. Click "New Connection" button
+2. Fill in connection details:
+   - **Connection Name**: A friendly name for your connection
+   - **Database Type**: Select from MongoDB, PostgreSQL, MySQL, or SQLite
+   - **Host**: Database server address
+   - **Port**: Database port number
+   - **Database**: Database name
+   - **Username/Password**: For SQL databases (optional for MongoDB)
+
+### 3. Connect and Explore
+1. Click "Connect" on your connection
+2. Browse database objects in the Explorer tab
+3. Click on objects to view their data
+4. Use the Query tab to execute custom queries
+5. Explore schema details in the Schema tab
+6. Visualize data in the Visualize tab
+
+## Usage Examples
+
+### MongoDB Query Examples
+```javascript
+// Find all users
+db.users.find({})
+
+// Find users with specific criteria
+db.users.find({ status: "active", age: { $gte: 18 } })
+
+// Project specific fields
+db.users.find({}).project({ username: 1, email: 1, _id: 0 })
+
+// Sort and limit
+db.users.find({}).sort({ created_at: -1 }).limit(10)
+```
+
+### SQL Query Examples
+```sql
+-- Basic select
+SELECT * FROM users LIMIT 10
+
+-- With conditions
+SELECT username, email FROM users WHERE status = 'active' AND created_at > '2024-01-01'
+
+-- Joins
+SELECT u.username, o.total_amount 
+FROM users u 
+JOIN orders o ON u.id = o.user_id 
+WHERE o.status = 'completed'
+
+-- Aggregations
+SELECT status, COUNT(*) as count 
+FROM orders 
+GROUP BY status 
+ORDER BY count DESC
+```
+
+## Advanced Features
+
+### Query Builder
+The visual query builder helps construct complex queries:
+1. Select fields to include
+2. Add filtering conditions
+3. Set sorting order
+4. Apply limits
+5. Generate the final query
+
+### Schema Analysis
+- View table structures
+- Analyze indexes and their performance impact
+- Understand relationships between tables
+- Export schema documentation
+
+### Data Visualization
+- **Bar Charts**: Compare values across categories
+- **Pie Charts**: Show proportions and percentages
+- **Line Charts**: Track trends over time
+- **Data Tables**: Sort, filter, and search results
+
+### Export Options
+- **CSV**: For spreadsheet applications
+- **JSON**: For API integrations
+- **Schema Documentation**: For team collaboration
+
+## Security Features
+
+- **Connection Encryption**: Secure connections to databases
+- **Password Protection**: Secure storage of credentials
+- **Access Control**: Role-based permissions
+- **Audit Logging**: Track database operations
+
+## Performance Tips
+
+1. **Use Indexes**: Ensure proper indexing for frequently queried fields
+2. **Limit Results**: Use LIMIT clauses to avoid large result sets
+3. **Optimize Queries**: Use the query builder to create efficient queries
+4. **Monitor Performance**: Check execution times for slow queries
+
+## Troubleshooting
+
+### Connection Issues
+- Verify network connectivity
+- Check firewall settings
+- Ensure correct port numbers
+- Verify database credentials
+
+### Query Errors
+- Check syntax for your database type
+- Verify table/collection names
+- Ensure field names are correct
+- Check data types match
+
+### Performance Issues
+- Review query execution plans
+- Check database server resources
+- Optimize slow queries
+- Consider adding indexes
+
+## Browser Compatibility
+
+- **Chrome**: 90+
+- **Firefox**: 88+
+- **Safari**: 14+
+- **Edge**: 90+
+
+## Technical Requirements
+
+- **Node.js**: 18.0.0+
+- **React**: 18.0.0+
+- **TypeScript**: 4.9.0+
+- **Tailwind CSS**: 3.0.0+
+
+## Contributing
+
+To contribute to the Database Explorer:
+
+1. Fork the repository
+2. Create a feature branch
+3. Make your changes
+4. Add tests if applicable
+5. Submit a pull request
+
+## Support
+
+For support and questions:
+- Check the documentation
+- Review existing issues
+- Create a new issue with detailed information
+- Contact the development team
+
+## License
+
+This project is licensed under the MIT License - see the LICENSE file for details.
+
+---
+
+**Note**: This is a demonstration version with mock data. In production, it would connect to real databases and include additional security measures.