BosDB Architecture Documentation

System Design

BosDB is built as a production-grade, multi-tenant database management system using a modern monorepo architecture.

Architecture Layers

text

┌─────────────────────────────────────────┐
│         Next.js Frontend (React)        │
│  - Monaco Editor, Schema Explorer, UI   │
└─────────────────────────────────────────┘
                    ↓
┌─────────────────────────────────────────┐
│       API Layer (Next.js API Routes)    │
│  - Authentication, Rate Limiting        │
└─────────────────────────────────────────┘
                    ↓
┌─────────────────────────────────────────┐
│         Business Logic Layer            │
│ - Query Executor, Connection Manager    │
└─────────────────────────────────────────┘
                    ↓
┌─────────────────────────────────────────┐
│      Database Adapter Layer             │
│  - IDBAdapter Interface                 │
│  - PostgreSQL, MySQL, MongoDB adapters  │
└─────────────────────────────────────────┘
                    ↓
┌─────────────────────────────────────────┐
│         External Databases              │
│  - User's PostgreSQL, MySQL, etc.       │
└─────────────────────────────────────────┘

Security Architecture

Credential Encryption: All database credentials are encrypted at rest using AES-256-GCM
SQL Injection Protection: Query validation before execution
Read-only Mode: Enforce read-only queries on specified connections
Audit Logging: All queries logged with user context
Network Isolation: Each connection runs in isolated context

Database Adapter Pattern

The adapter pattern allows for extensibility:

typescript

interface IDBAdapter {
  connect(config) → Promise<ConnectionResult>
  executeQuery(request) → Promise<QueryResult>
  listSchemas() → Promise<Schema[]>
  listTables(schema) → Promise<Table[]>
  describeTable(schema, table) → Promise<TableMetadata>
  explainQuery(query) → Promise<ExplainResult>
}

Each database type (PostgreSQL, MySQL, MongoDB) implements this interface, ensuring consistent behavior across different database systems.

Scaling Strategy

For 10k+ concurrent users:

Horizontal Scaling: Stateless Next.js instances behind load balancer
Connection Pooling: 10-20 connections per database per instance
Redis Caching: Schema metadata, connection info
Query Queue: Long-running queries moved to background
Read Replicas: Route metadata queries to replicas

Monorepo Structure

text

bosdb/
├── apps/web/         # Next.js application
└── packages/
    ├── core/         # Shared types
    ├── db-adapters/  # Database adapters
    ├── security/     # Encryption, validation
    └── utils/        # Logging, metrics

Technology Stack

Frontend: Next.js 14, React, TypeScript, Tailwind CSS, Monaco Editor
Backend: Node.js, TypeScript, Express-style API routes
Databases: PostgreSQL (pg driver), MySQL (future), MongoDB (future)
Security: AES-256-GCM encryption, SQL injection detection
Deployment: Docker, Kubernetes-ready

Future Enhancements

MySQL and MongoDB adapter implementations
SSH tunneling support
Real-time collaboration
AI-powered SQL assistance
Advanced query optimization
Database ERD visualization