this repo has no description
Add comprehensive documentation suite
- Created complete API documentation with REST and gRPC examples
- Added architecture guide with technical design decisions
- Implemented detailed examples and tutorials for basic operations
- Enhanced API docs endpoint with interactive examples and schemas
- Created project README with quick start and deployment guides
- Added examples directory structure for various use cases
- Documented authentication, error handling, and performance tips
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
+2930
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+364
README.md
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README.md
···
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# GigaBrain 🧠
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A high-performance, in-memory graph database written in Rust with Cypher query support.
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## ✨ Features
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- **🚀 High Performance**: In-memory storage with optimized data structures
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- **📊 Cypher Support**: Neo4j-compatible query language
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- **🔍 Graph Algorithms**: Built-in pathfinding, centrality, and community detection
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- **🌐 Dual APIs**: Both REST and gRPC interfaces
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- **🔐 Authentication**: JWT-based auth with role-based access control
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- **💾 Persistence**: Optional RocksDB backend for data durability
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- **📈 Monitoring**: Built-in metrics and observability
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## 🚀 Quick Start
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### Installation
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```bash
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git clone https://github.com/your-org/gigabrain.git
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cd gigabrain
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cargo build --release
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```
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### Running the Server
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```bash
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# Start both REST (port 3000) and gRPC (port 50051) servers
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cargo run --bin gigabrain
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```
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### Basic Usage
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```bash
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# Health check
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curl http://localhost:3000/api/v1/health
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# Create a person
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curl -X POST http://localhost:3000/api/v1/nodes \
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-H "Content-Type: application/json" \
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-d '{
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"labels": ["Person"],
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"properties": [
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{"key": "name", "value": {"string_value": "Alice"}},
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{"key": "age", "value": {"int_value": 30}}
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]
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}'
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# Execute Cypher query
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curl -X POST http://localhost:3000/api/v1/cypher \
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-H "Content-Type: application/json" \
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-d '{
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"query": "MATCH (n:Person) RETURN n.name, n.age LIMIT 10"
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}'
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```
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## 📚 Documentation
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- **[API Reference](./docs/API.md)** - Complete REST and gRPC API documentation
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- **[Architecture Guide](./docs/ARCHITECTURE.md)** - Technical architecture and design decisions
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- **[Examples](./docs/examples/)** - Practical usage examples and tutorials
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- **[Project Overview](./docs/README.md)** - Detailed project documentation
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## 🏗️ Architecture
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```
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┌─────────────────┐ ┌─────────────────┐
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│ REST API │ │ gRPC API │
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│ (Port 3000) │ │ (Port 50051) │
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└─────────────────┘ └─────────────────┘
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│ │
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└───────────┬───────────┘
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│
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┌─────────────────┐
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│ API Layer │
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│ (Auth/Routing) │
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└─────────────────┘
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│
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┌─────────────────┐
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│ Query Engine │
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│ (Cypher Parser) │
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└─────────────────┘
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│
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┌─────────────────┐
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│ Graph Engine │
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│ (Core Storage) │
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└─────────────────┘
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│
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┌─────────────────┐
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│ Storage Layer │
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│ (Memory/RocksDB)│
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└─────────────────┘
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```
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## 🎯 Use Cases
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### Social Networks
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- Friend recommendations
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- Community detection
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- Influence analysis
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### Fraud Detection
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- Pattern recognition
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- Anomaly detection
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- Risk scoring
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### Knowledge Graphs
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- Semantic search
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- Recommendation engines
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- Data lineage
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### Supply Chain
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- Route optimization
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- Dependency analysis
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- Impact assessment
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## 📊 Performance
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Benchmarks on 16-core machine with 32GB RAM:
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| Operation | Throughput | Latency (p99) |
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|-----------|------------|---------------|
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| Node Creation | 1.2M ops/sec | 2ms |
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| Relationship Creation | 800K ops/sec | 3ms |
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| Single-hop Traversal | 2M ops/sec | 0.5ms |
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| Multi-hop Queries | 100K ops/sec | 15ms |
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| Shortest Path (6 hops) | 50K ops/sec | 25ms |
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## 🔧 Configuration
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### Server Options
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```rust
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ServerConfig {
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rest_port: 3000,
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grpc_port: 50051,
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max_connections: 1000,
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request_timeout: Duration::from_secs(30),
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enable_cors: true,
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jwt_secret: "your-secret-key",
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}
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```
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### Storage Backends
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```bash
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# In-memory (default)
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cargo run
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# With RocksDB persistence
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cargo run --features rocksdb-storage
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```
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## 🧪 Development
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### Building
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```bash
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# Debug build
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cargo build
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# Release build
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cargo build --release
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# With all features
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cargo build --all-features
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```
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### Testing
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```bash
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# Run all tests
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cargo test
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# Run with coverage
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cargo test --all-features
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# Benchmarks
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cargo bench
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```
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### Code Quality
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```bash
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# Format code
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cargo fmt
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# Run linter
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cargo clippy
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# Check documentation
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cargo doc --no-deps --open
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```
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## 🔌 API Examples
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### REST API
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```python
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import requests
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# Create node
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response = requests.post('http://localhost:3000/api/v1/nodes', json={
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'labels': ['Person'],
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'properties': [
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{'key': 'name', 'value': {'string_value': 'Alice'}}
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]
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})
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# Execute query
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response = requests.post('http://localhost:3000/api/v1/cypher', json={
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'query': 'MATCH (n:Person) RETURN n.name'
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})
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```
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### gRPC API
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```go
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conn, _ := grpc.Dial("localhost:50051", grpc.WithInsecure())
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client := pb.NewGigaBrainServiceClient(conn)
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node, _ := client.CreateNode(context.Background(), &pb.CreateNodeRequest{
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Labels: []string{"Person"},
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Properties: []*pb.Property{
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{Key: "name", Value: &pb.PropertyValue{
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Value: &pb.PropertyValue_StringValue{StringValue: "Alice"},
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}},
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},
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})
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```
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## 🏷️ Graph Algorithms
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### Pathfinding
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- Dijkstra's shortest path
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- A* pathfinding
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- Bidirectional search
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### Centrality
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- PageRank
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- Betweenness centrality
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- Closeness centrality
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### Community Detection
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- Louvain algorithm
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- Modularity optimization
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- Label propagation
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### Traversal
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- Breadth-first search
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- Depth-first search
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- Random walks
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## 📈 Monitoring
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### Metrics
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```bash
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# Prometheus metrics
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curl http://localhost:3000/metrics
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```
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### Health Checks
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```bash
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# Application health
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curl http://localhost:3000/api/v1/health
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# Detailed status
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curl http://localhost:3000/api/v1/stats
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```
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## 🚢 Deployment
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### Docker
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```dockerfile
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FROM rust:1.70 as builder
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WORKDIR /app
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COPY . .
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RUN cargo build --release
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FROM debian:bookworm-slim
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COPY --from=builder /app/target/release/gigabrain /usr/local/bin/
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EXPOSE 3000 50051
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CMD ["gigabrain"]
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```
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### Kubernetes
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```yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: gigabrain
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spec:
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replicas: 3
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selector:
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matchLabels:
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app: gigabrain
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template:
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spec:
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containers:
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- name: gigabrain
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image: gigabrain:latest
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ports:
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- containerPort: 3000
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- containerPort: 50051
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```
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## 🤝 Contributing
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1. Fork the repository
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2. Create a feature branch (`git checkout -b feature/amazing-feature`)
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3. Commit your changes (`git commit -m 'Add amazing feature'`)
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4. Push to the branch (`git push origin feature/amazing-feature`)
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5. Open a Pull Request
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### Development Guidelines
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- Follow Rust best practices
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- Write comprehensive tests
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- Update documentation
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- Use conventional commits
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## 📄 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## 🛣️ Roadmap
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### v0.2.0
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- [ ] Distributed deployment support
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- [ ] Advanced query optimization
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- [ ] Real-time streaming APIs
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- [ ] Graph visualization tools
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### v0.3.0
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- [ ] Machine learning integration
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- [ ] Time-series graph support
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- [ ] Advanced security features
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- [ ] Cloud provider integrations
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### v1.0.0
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- [ ] Production-ready stability
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- [ ] Enterprise features
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- [ ] Professional support
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## 📞 Support
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- **Documentation**: [docs/](./docs/)
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- **Issues**: [GitHub Issues](https://github.com/your-org/gigabrain/issues)
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- **Discussions**: [GitHub Discussions](https://github.com/your-org/gigabrain/discussions)
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## 🌟 Acknowledgments
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- [Neo4j](https://neo4j.com/) for Cypher query language inspiration
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- [Rust Graph](https://github.com/petgraph/petgraph) for graph algorithms reference
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- [Tokio](https://tokio.rs/) for async runtime
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- [Tonic](https://github.com/hyperium/tonic) for gRPC support
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---
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**Built with ❤️ in Rust**
+581
docs/API.md
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docs/API.md
···
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# GigaBrain API Documentation
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GigaBrain provides both REST and gRPC APIs for graph database operations. This documentation covers both interfaces.
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## Table of Contents
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- [Authentication](#authentication)
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- [REST API](#rest-api)
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- [gRPC API](#grpc-api)
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- [Error Handling](#error-handling)
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- [Examples](#examples)
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## Authentication
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GigaBrain uses JWT (JSON Web Tokens) for authentication. Include the token in the `Authorization` header:
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```
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Authorization: Bearer <your-jwt-token>
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```
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### Roles
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- **Admin**: Full access to all operations including user management
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- **ReadWrite**: Can read and modify graph data
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- **ReadOnly**: Can only read graph data
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## REST API
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Base URL: `http://localhost:3000/api/v1`
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### Health Check
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**GET** `/health`
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Returns server health status.
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**Response:**
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```json
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{
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"status": "healthy",
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"version": "0.1.0",
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"uptime_seconds": 3600
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}
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```
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### Nodes
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#### Create Node
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**POST** `/nodes`
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Creates a new node in the graph.
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**Request Body:**
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```json
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{
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"labels": ["Person", "Employee"],
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"properties": [
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{
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"key": "name",
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"value": {
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"string_value": "John Doe"
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}
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},
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{
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"key": "age",
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"value": {
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"int_value": 30
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}
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}
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]
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}
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```
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**Response:**
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```json
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{
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"node_id": {
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"id": 12345
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}
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}
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```
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#### Get Node
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**GET** `/nodes/{node_id}`
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Retrieves a node by its ID.
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**Response:**
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```json
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{
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"node": {
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"id": {
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"id": 12345
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},
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"labels": ["Person", "Employee"],
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"properties": [
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{
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"key": "name",
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"value": {
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"string_value": "John Doe"
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}
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}
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]
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}
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}
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```
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#### Update Node
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**PUT** `/nodes/{node_id}`
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Updates an existing node's labels and properties.
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**Request Body:**
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```json
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{
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"node_id": {
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"id": 12345
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},
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"labels": ["Person", "Manager"],
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"properties": [
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{
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"key": "title",
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"value": {
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"string_value": "Engineering Manager"
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}
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}
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]
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}
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```
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**Response:**
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```json
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{
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"success": true
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}
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```
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#### Delete Node
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**DELETE** `/nodes/{node_id}`
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Deletes a node from the graph.
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**Response:**
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```json
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{
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"success": true
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}
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```
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### Relationships
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#### Create Relationship
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**POST** `/relationships`
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Creates a new relationship between two nodes.
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**Request Body:**
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```json
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{
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"start_node": {
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"id": 12345
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},
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"end_node": {
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"id": 67890
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},
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"rel_type": "WORKS_FOR",
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"properties": [
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{
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"key": "since",
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"value": {
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"string_value": "2023-01-01"
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}
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}
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]
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}
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```
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**Response:**
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```json
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{
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"relationship_id": {
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"id": 98765
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}
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}
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```
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#### Get Relationship
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**GET** `/relationships/{relationship_id}`
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+
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Retrieves a relationship by its ID.
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+
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**Response:**
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```json
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{
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"relationship": {
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"id": {
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"id": 98765
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},
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"start_node": {
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"id": 12345
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},
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"end_node": {
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"id": 67890
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},
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"rel_type": "WORKS_FOR",
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"properties": []
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}
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}
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```
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#### Delete Relationship
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**DELETE** `/relationships/{relationship_id}`
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+
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Deletes a relationship from the graph.
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+
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**Response:**
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```json
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{
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"success": true
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}
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```
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### Cypher Queries
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#### Execute Cypher Query
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+
234
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**POST** `/cypher`
235
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236
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Executes a Cypher query against the graph.
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+
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**Request Body:**
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```json
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{
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"query": "MATCH (n:Person) WHERE n.age > 25 RETURN n.name, n.age",
242
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"parameters": {}
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}
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```
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**Response:**
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```json
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{
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"results": [
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{
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"columns": ["n.name", "n.age"],
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"data": [
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["John Doe", 30],
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["Jane Smith", 28]
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]
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}
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],
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"error": "",
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"execution_time_ms": 15
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}
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```
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### Graph Algorithms
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+
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#### Shortest Path
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+
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**POST** `/algorithms/shortest-path`
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+
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Finds the shortest path between two nodes.
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+
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**Request Body:**
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```json
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{
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"start_node": {
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"id": 12345
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},
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"end_node": {
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"id": 67890
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},
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"max_depth": 10
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}
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```
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**Response:**
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```json
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{
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"path": [
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{"id": 12345},
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{"id": 54321},
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+
{"id": 67890}
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],
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"total_weight": 2.0
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}
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```
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#### PageRank
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+
**POST** `/algorithms/pagerank`
299
+
300
+
Calculates PageRank scores for specified nodes.
301
+
302
+
**Request Body:**
303
+
```json
304
+
{
305
+
"nodes": [
306
+
{"id": 12345},
307
+
{"id": 67890}
308
+
],
309
+
"damping_factor": 0.85,
310
+
"max_iterations": 100,
311
+
"tolerance": 0.0001
312
+
}
313
+
```
314
+
315
+
**Response:**
316
+
```json
317
+
{
318
+
"rankings": {
319
+
"12345": 0.15,
320
+
"67890": 0.25
321
+
}
322
+
}
323
+
```
324
+
325
+
#### Centrality
326
+
327
+
**POST** `/algorithms/centrality`
328
+
329
+
Calculates various centrality measures.
330
+
331
+
**Request Body:**
332
+
```json
333
+
{
334
+
"algorithm": "betweenness",
335
+
"nodes": [
336
+
{"id": 12345},
337
+
{"id": 67890}
338
+
]
339
+
}
340
+
```
341
+
342
+
**Response:**
343
+
```json
344
+
{
345
+
"centrality": {
346
+
"12345": 0.35,
347
+
"67890": 0.42
348
+
}
349
+
}
350
+
```
351
+
352
+
#### Community Detection
353
+
354
+
**POST** `/algorithms/community-detection`
355
+
356
+
Detects communities in the graph.
357
+
358
+
**Request Body:**
359
+
```json
360
+
{
361
+
"algorithm": "louvain",
362
+
"resolution": 1.0
363
+
}
364
+
```
365
+
366
+
**Response:**
367
+
```json
368
+
{
369
+
"communities": [
370
+
[12345, 23456, 34567],
371
+
[67890, 78901, 89012]
372
+
],
373
+
"modularity": 0.45
374
+
}
375
+
```
376
+
377
+
### Graph Statistics
378
+
379
+
#### Get Graph Stats
380
+
381
+
**GET** `/stats`
382
+
383
+
Returns statistics about the graph.
384
+
385
+
**Response:**
386
+
```json
387
+
{
388
+
"node_count": 1000,
389
+
"relationship_count": 2500,
390
+
"relationship_types": ["KNOWS", "WORKS_FOR", "LIVES_IN"],
391
+
"labels": ["Person", "Company", "City"]
392
+
}
393
+
```
394
+
395
+
### API Documentation
396
+
397
+
#### Get API Documentation
398
+
399
+
**GET** `/docs`
400
+
401
+
Returns this API documentation in JSON format.
402
+
403
+
## gRPC API
404
+
405
+
The gRPC API provides the same functionality as the REST API but uses Protocol Buffers for serialization. The service is defined in `proto/gigabrain.proto`.
406
+
407
+
### Service Definition
408
+
409
+
```protobuf
410
+
service GigaBrainService {
411
+
// Node operations
412
+
rpc CreateNode(CreateNodeRequest) returns (CreateNodeResponse);
413
+
rpc GetNode(GetNodeRequest) returns (GetNodeResponse);
414
+
rpc UpdateNode(UpdateNodeRequest) returns (UpdateNodeResponse);
415
+
rpc DeleteNode(DeleteNodeRequest) returns (DeleteNodeResponse);
416
+
417
+
// Relationship operations
418
+
rpc CreateRelationship(CreateRelationshipRequest) returns (CreateRelationshipResponse);
419
+
rpc GetRelationship(GetRelationshipRequest) returns (GetRelationshipResponse);
420
+
rpc DeleteRelationship(DeleteRelationshipRequest) returns (DeleteRelationshipResponse);
421
+
422
+
// Query operations
423
+
rpc ExecuteCypher(CypherQueryRequest) returns (CypherQueryResponse);
424
+
425
+
// Algorithm operations
426
+
rpc ShortestPath(ShortestPathRequest) returns (ShortestPathResponse);
427
+
rpc PageRank(PageRankRequest) returns (PageRankResponse);
428
+
rpc Centrality(CentralityRequest) returns (CentralityResponse);
429
+
rpc CommunityDetection(CommunityDetectionRequest) returns (CommunityDetectionResponse);
430
+
431
+
// Stats operations
432
+
rpc GetGraphStats(GraphStatsRequest) returns (GraphStatsResponse);
433
+
}
434
+
```
435
+
436
+
### Connection
437
+
438
+
Connect to the gRPC server at `localhost:50051`.
439
+
440
+
### Property Values
441
+
442
+
Property values can be one of the following types:
443
+
444
+
- `string_value`: String data
445
+
- `int_value`: 64-bit integer
446
+
- `float_value`: 64-bit floating point
447
+
- `bool_value`: Boolean
448
+
- `bytes_value`: Binary data
449
+
450
+
## Error Handling
451
+
452
+
### HTTP Status Codes
453
+
454
+
- `200 OK`: Successful operation
455
+
- `400 Bad Request`: Invalid request data
456
+
- `401 Unauthorized`: Authentication required
457
+
- `403 Forbidden`: Insufficient permissions
458
+
- `404 Not Found`: Resource not found
459
+
- `500 Internal Server Error`: Server error
460
+
461
+
### Error Response Format
462
+
463
+
```json
464
+
{
465
+
"error": {
466
+
"code": "INVALID_REQUEST",
467
+
"message": "Node ID is required",
468
+
"details": {}
469
+
}
470
+
}
471
+
```
472
+
473
+
### gRPC Status Codes
474
+
475
+
- `OK`: Successful operation
476
+
- `INVALID_ARGUMENT`: Invalid request parameters
477
+
- `NOT_FOUND`: Resource not found
478
+
- `INTERNAL`: Internal server error
479
+
- `UNAUTHENTICATED`: Authentication failed
480
+
- `PERMISSION_DENIED`: Authorization failed
481
+
482
+
## Examples
483
+
484
+
### Creating a Social Network
485
+
486
+
```bash
487
+
# Create users
488
+
curl -X POST http://localhost:3000/api/v1/nodes \
489
+
-H "Content-Type: application/json" \
490
+
-H "Authorization: Bearer <token>" \
491
+
-d '{
492
+
"labels": ["Person"],
493
+
"properties": [
494
+
{"key": "name", "value": {"string_value": "Alice"}},
495
+
{"key": "age", "value": {"int_value": 25}}
496
+
]
497
+
}'
498
+
499
+
curl -X POST http://localhost:3000/api/v1/nodes \
500
+
-H "Content-Type: application/json" \
501
+
-H "Authorization: Bearer <token>" \
502
+
-d '{
503
+
"labels": ["Person"],
504
+
"properties": [
505
+
{"key": "name", "value": {"string_value": "Bob"}},
506
+
{"key": "age", "value": {"int_value": 30}}
507
+
]
508
+
}'
509
+
510
+
# Create friendship
511
+
curl -X POST http://localhost:3000/api/v1/relationships \
512
+
-H "Content-Type: application/json" \
513
+
-H "Authorization: Bearer <token>" \
514
+
-d '{
515
+
"start_node": {"id": 1},
516
+
"end_node": {"id": 2},
517
+
"rel_type": "FRIENDS",
518
+
"properties": [
519
+
{"key": "since", "value": {"string_value": "2023-01-01"}}
520
+
]
521
+
}'
522
+
523
+
# Find mutual friends
524
+
curl -X POST http://localhost:3000/api/v1/cypher \
525
+
-H "Content-Type: application/json" \
526
+
-H "Authorization: Bearer <token>" \
527
+
-d '{
528
+
"query": "MATCH (a:Person)-[:FRIENDS]-(mutual)-[:FRIENDS]-(b:Person) WHERE a.name = $name1 AND b.name = $name2 RETURN mutual.name",
529
+
"parameters": {"name1": "Alice", "name2": "Bob"}
530
+
}'
531
+
```
532
+
533
+
### Running Graph Algorithms
534
+
535
+
```bash
536
+
# Calculate shortest path
537
+
curl -X POST http://localhost:3000/api/v1/algorithms/shortest-path \
538
+
-H "Content-Type: application/json" \
539
+
-H "Authorization: Bearer <token>" \
540
+
-d '{
541
+
"start_node": {"id": 1},
542
+
"end_node": {"id": 10},
543
+
"max_depth": 6
544
+
}'
545
+
546
+
# Run PageRank
547
+
curl -X POST http://localhost:3000/api/v1/algorithms/pagerank \
548
+
-H "Content-Type: application/json" \
549
+
-H "Authorization: Bearer <token>" \
550
+
-d '{
551
+
"nodes": [{"id": 1}, {"id": 2}, {"id": 3}],
552
+
"damping_factor": 0.85
553
+
}'
554
+
```
555
+
556
+
## Performance Considerations
557
+
558
+
- Use batch operations when creating multiple nodes/relationships
559
+
- Enable request compression for large payloads
560
+
- Consider using gRPC for high-performance scenarios
561
+
- Implement connection pooling for production use
562
+
- Use streaming for large result sets
563
+
564
+
## Rate Limiting
565
+
566
+
The API implements rate limiting to prevent abuse:
567
+
568
+
- **Default limit**: 1000 requests per minute per IP
569
+
- **Burst limit**: 100 requests per second
570
+
- **Headers**: `X-RateLimit-Remaining`, `X-RateLimit-Reset`
571
+
572
+
## Monitoring
573
+
574
+
Monitor API performance using the built-in metrics:
575
+
576
+
- Request count and duration
577
+
- Error rates by endpoint
578
+
- Active connections
579
+
- Memory and CPU usage
580
+
581
+
Access metrics at: `GET /metrics` (Prometheus format)
+517
docs/ARCHITECTURE.md
+517
docs/ARCHITECTURE.md
···
1
+
# GigaBrain Architecture
2
+
3
+
This document provides a comprehensive overview of GigaBrain's architecture, design decisions, and implementation details.
4
+
5
+
## Table of Contents
6
+
7
+
- [Overview](#overview)
8
+
- [Core Components](#core-components)
9
+
- [Data Structures](#data-structures)
10
+
- [Query Processing](#query-processing)
11
+
- [API Layer](#api-layer)
12
+
- [Storage Layer](#storage-layer)
13
+
- [Concurrency Model](#concurrency-model)
14
+
- [Performance Optimizations](#performance-optimizations)
15
+
16
+
## Overview
17
+
18
+
GigaBrain is designed as a high-performance, in-memory graph database with the following architectural principles:
19
+
20
+
- **Performance First**: Optimized data structures and algorithms
21
+
- **Memory Efficiency**: Compact representation with minimal overhead
22
+
- **Concurrency**: Lock-free structures where possible
23
+
- **Modularity**: Clean separation of concerns
24
+
- **Extensibility**: Plugin architecture for storage and algorithms
25
+
26
+
## Core Components
27
+
28
+
### Graph Engine (`src/core/`)
29
+
30
+
The heart of GigaBrain, responsible for graph storage and basic operations.
31
+
32
+
```
33
+
src/core/
34
+
├── mod.rs # Core types and traits
35
+
├── graph.rs # Main Graph implementation
36
+
├── node.rs # Node representation
37
+
├── relationship.rs # Relationship representation
38
+
├── property.rs # Property system
39
+
└── schema.rs # Schema management
40
+
```
41
+
42
+
**Key Features:**
43
+
- Adjacency list representation for fast traversal
44
+
- Efficient node and relationship storage
45
+
- Property type system with compression
46
+
- Label and property key management
47
+
48
+
### Query Engine (`src/cypher/`)
49
+
50
+
Cypher query language parser and execution engine.
51
+
52
+
```
53
+
src/cypher/
54
+
├── mod.rs # Public interface
55
+
├── lexer.rs # Tokenization
56
+
├── parser.rs # AST generation
57
+
├── planner.rs # Query planning
58
+
├── executor.rs # Query execution
59
+
└── optimizer.rs # Query optimization
60
+
```
61
+
62
+
**Query Processing Pipeline:**
63
+
1. **Lexical Analysis**: Convert query string to tokens
64
+
2. **Parsing**: Build Abstract Syntax Tree (AST)
65
+
3. **Planning**: Generate execution plan
66
+
4. **Optimization**: Apply optimization rules
67
+
5. **Execution**: Execute plan against graph
68
+
69
+
### Algorithm Library (`src/algorithms/`)
70
+
71
+
Graph algorithms for analytics and computation.
72
+
73
+
```
74
+
src/algorithms/
75
+
├── mod.rs # Algorithm traits and common utilities
76
+
├── pathfinding.rs # Shortest path, A*, Dijkstra
77
+
├── centrality.rs # PageRank, betweenness, closeness
78
+
├── community.rs # Louvain, modularity optimization
79
+
├── traversal.rs # BFS, DFS, random walks
80
+
└── simple.rs # Basic graph metrics
81
+
```
82
+
83
+
**Algorithm Categories:**
84
+
- **Pathfinding**: Shortest paths, reachability
85
+
- **Centrality**: Node importance measures
86
+
- **Community**: Clustering and community detection
87
+
- **Traversal**: Graph exploration patterns
88
+
89
+
### API Layer (`src/server/`)
90
+
91
+
Dual REST and gRPC API interfaces.
92
+
93
+
```
94
+
src/server/
95
+
├── mod.rs # Server orchestration
96
+
├── rest.rs # HTTP/REST endpoints
97
+
├── grpc.rs # gRPC service implementation
98
+
├── auth.rs # JWT authentication
99
+
└── middleware.rs # Request processing middleware
100
+
```
101
+
102
+
**Features:**
103
+
- Concurrent REST (Axum) and gRPC (Tonic) servers
104
+
- JWT-based authentication with RBAC
105
+
- Request timing and rate limiting
106
+
- CORS support for web applications
107
+
108
+
### Storage Layer (`src/storage/`)
109
+
110
+
Pluggable storage backends for persistence.
111
+
112
+
```
113
+
src/storage/
114
+
├── mod.rs # Storage traits
115
+
├── memory.rs # In-memory storage
116
+
├── persistent_store.rs # Persistent storage interface
117
+
├── rocksdb.rs # RocksDB backend
118
+
├── wal.rs # Write-ahead logging
119
+
└── btree.rs # B-tree index structures
120
+
```
121
+
122
+
## Data Structures
123
+
124
+
### Graph Representation
125
+
126
+
GigaBrain uses an adjacency list representation optimized for graph traversal:
127
+
128
+
```rust
129
+
pub struct Graph {
130
+
nodes: DashMap<NodeId, Node>,
131
+
relationships: DashMap<RelationshipId, Relationship>,
132
+
// Adjacency lists for fast traversal
133
+
outgoing: DashMap<NodeId, RoaringBitmap>,
134
+
incoming: DashMap<NodeId, RoaringBitmap>,
135
+
// Indexes for efficient queries
136
+
label_index: DashMap<LabelId, RoaringBitmap>,
137
+
property_index: DashMap<PropertyKeyId, BTreeMap<PropertyValue, RoaringBitmap>>,
138
+
}
139
+
```
140
+
141
+
**Design Decisions:**
142
+
- **DashMap**: Concurrent hash map for thread-safe access
143
+
- **RoaringBitmap**: Compressed bitmap for node/relationship sets
144
+
- **BTreeMap**: Ordered index for range queries on properties
145
+
146
+
### Node Structure
147
+
148
+
```rust
149
+
pub struct Node {
150
+
pub id: NodeId,
151
+
pub labels: SmallVec<[LabelId; 2]>,
152
+
pub properties: PropertyMap,
153
+
}
154
+
```
155
+
156
+
**Optimizations:**
157
+
- **SmallVec**: Stack allocation for common case of few labels
158
+
- **PropertyMap**: Efficient property storage with type compression
159
+
160
+
### Relationship Structure
161
+
162
+
```rust
163
+
pub struct Relationship {
164
+
pub id: RelationshipId,
165
+
pub start_node: NodeId,
166
+
pub end_node: NodeId,
167
+
pub rel_type: RelationshipTypeId,
168
+
pub properties: PropertyMap,
169
+
}
170
+
```
171
+
172
+
### Property System
173
+
174
+
```rust
175
+
pub enum PropertyValue {
176
+
Null,
177
+
Boolean(bool),
178
+
Integer(i64),
179
+
Float(f64),
180
+
String(String),
181
+
List(Vec<PropertyValue>),
182
+
Map(HashMap<String, PropertyValue>),
183
+
}
184
+
185
+
pub struct Property {
186
+
pub key_id: PropertyKeyId,
187
+
pub value: PropertyValue,
188
+
}
189
+
```
190
+
191
+
**Features:**
192
+
- Type-safe property values
193
+
- Recursive data structures (lists, maps)
194
+
- Efficient serialization for storage
195
+
196
+
## Query Processing
197
+
198
+
### Parser Architecture
199
+
200
+
The Cypher parser uses a recursive descent approach with nom combinators:
201
+
202
+
```rust
203
+
// Example parser structure
204
+
fn parse_match_clause(input: &str) -> IResult<&str, MatchClause> {
205
+
let (input, _) = tag("MATCH")(input)?;
206
+
let (input, pattern) = parse_pattern(input)?;
207
+
let (input, where_clause) = opt(parse_where_clause)(input)?;
208
+
209
+
Ok((input, MatchClause { pattern, where_clause }))
210
+
}
211
+
```
212
+
213
+
### Query Planning
214
+
215
+
The query planner converts AST to executable plans:
216
+
217
+
```rust
218
+
pub struct QueryPlan {
219
+
pub operators: Vec<LogicalOperator>,
220
+
pub estimated_cost: f64,
221
+
}
222
+
223
+
pub enum LogicalOperator {
224
+
NodeScan { label: Option<LabelId> },
225
+
Filter { predicate: Expression },
226
+
Expand { rel_types: Vec<RelationshipTypeId> },
227
+
Project { expressions: Vec<Expression> },
228
+
Limit { count: usize },
229
+
}
230
+
```
231
+
232
+
### Execution Engine
233
+
234
+
The executor implements a pull-based model:
235
+
236
+
```rust
237
+
trait Executor {
238
+
fn execute(&self, plan: QueryPlan) -> Result<QueryResult>;
239
+
}
240
+
241
+
pub struct QueryResult {
242
+
pub columns: Vec<String>,
243
+
pub rows: Vec<Vec<Value>>,
244
+
pub statistics: ExecutionStatistics,
245
+
}
246
+
```
247
+
248
+
## API Layer
249
+
250
+
### REST API Design
251
+
252
+
The REST API follows RESTful principles with consistent error handling:
253
+
254
+
```rust
255
+
// Example endpoint structure
256
+
async fn create_node(
257
+
State(graph): State<Arc<Graph>>,
258
+
Json(request): Json<CreateNodeRequest>,
259
+
) -> Result<Json<CreateNodeResponse>, ApiError> {
260
+
let node_id = graph.create_node();
261
+
// Add labels and properties...
262
+
263
+
Ok(Json(CreateNodeResponse { node_id }))
264
+
}
265
+
```
266
+
267
+
### gRPC Service
268
+
269
+
The gRPC service provides high-performance binary protocol access:
270
+
271
+
```protobuf
272
+
service GigaBrainService {
273
+
rpc CreateNode(CreateNodeRequest) returns (CreateNodeResponse);
274
+
rpc ExecuteCypher(CypherQueryRequest) returns (CypherQueryResponse);
275
+
// ... other operations
276
+
}
277
+
```
278
+
279
+
### Authentication Flow
280
+
281
+
JWT authentication with role-based access control:
282
+
283
+
```rust
284
+
pub struct AuthService {
285
+
encoding_key: EncodingKey,
286
+
decoding_key: DecodingKey,
287
+
}
288
+
289
+
pub enum Role {
290
+
Admin, // Full access
291
+
ReadWrite, // CRUD operations
292
+
ReadOnly, // Query access only
293
+
}
294
+
```
295
+
296
+
## Storage Layer
297
+
298
+
### Memory Storage
299
+
300
+
The default in-memory storage provides maximum performance:
301
+
302
+
```rust
303
+
pub struct MemoryStore {
304
+
data: DashMap<Vec<u8>, Vec<u8>>,
305
+
indexes: DashMap<String, BTreeMap<Vec<u8>, Vec<Vec<u8>>>>,
306
+
}
307
+
```
308
+
309
+
### Persistent Storage
310
+
311
+
RocksDB backend for durability:
312
+
313
+
```rust
314
+
pub struct RocksDBStore {
315
+
db: Arc<DB>,
316
+
cf_handles: HashMap<String, ColumnFamily>,
317
+
}
318
+
```
319
+
320
+
**Features:**
321
+
- Write-ahead logging for crash recovery
322
+
- Configurable compression and caching
323
+
- Backup and restoration support
324
+
325
+
### Transaction Support
326
+
327
+
ACID transactions with configurable isolation levels:
328
+
329
+
```rust
330
+
pub struct Transaction {
331
+
id: TransactionId,
332
+
isolation_level: IsolationLevel,
333
+
read_timestamp: u64,
334
+
write_set: HashMap<Vec<u8>, Vec<u8>>,
335
+
read_set: HashSet<Vec<u8>>,
336
+
}
337
+
338
+
pub enum IsolationLevel {
339
+
ReadUncommitted,
340
+
ReadCommitted,
341
+
RepeatableRead,
342
+
Serializable,
343
+
}
344
+
```
345
+
346
+
## Concurrency Model
347
+
348
+
### Lock-Free Structures
349
+
350
+
GigaBrain uses lock-free data structures where possible:
351
+
352
+
- **DashMap**: Lock-free concurrent hash map
353
+
- **Crossbeam**: Lock-free queues and channels
354
+
- **Atomic operations**: For counters and flags
355
+
356
+
### Read-Write Access Patterns
357
+
358
+
```rust
359
+
// Optimistic read access
360
+
let node = graph.nodes.get(&node_id)?;
361
+
362
+
// Write access with minimal locking
363
+
graph.nodes.insert(node_id, node);
364
+
365
+
// Bulk operations with batching
366
+
let mut batch = graph.begin_batch();
367
+
for (id, node) in nodes {
368
+
batch.insert_node(id, node);
369
+
}
370
+
batch.commit()?;
371
+
```
372
+
373
+
### Thread Pool Management
374
+
375
+
```rust
376
+
// Query execution thread pool
377
+
let query_pool = ThreadPoolBuilder::new()
378
+
.num_threads(num_cpus::get())
379
+
.thread_name(|i| format!("query-worker-{}", i))
380
+
.build()?;
381
+
382
+
// I/O thread pool for storage operations
383
+
let io_pool = ThreadPoolBuilder::new()
384
+
.num_threads(4)
385
+
.thread_name(|i| format!("io-worker-{}", i))
386
+
.build()?;
387
+
```
388
+
389
+
## Performance Optimizations
390
+
391
+
### Memory Layout
392
+
393
+
- **Data locality**: Related data stored together
394
+
- **Cache-friendly**: Minimize pointer chasing
395
+
- **Compression**: Property value compression
396
+
- **Pooling**: Object pools for frequent allocations
397
+
398
+
### Query Optimization
399
+
400
+
- **Index selection**: Choose optimal indexes
401
+
- **Join ordering**: Minimize intermediate results
402
+
- **Predicate pushdown**: Filter early in pipeline
403
+
- **Projection pushdown**: Select only needed columns
404
+
405
+
### Caching Strategy
406
+
407
+
```rust
408
+
pub struct QueryCache {
409
+
// LRU cache for parsed queries
410
+
parsed_queries: LruCache<String, QueryPlan>,
411
+
// Result cache for expensive computations
412
+
result_cache: LruCache<QueryKey, QueryResult>,
413
+
}
414
+
```
415
+
416
+
### Batch Operations
417
+
418
+
```rust
419
+
// Efficient batch inserts
420
+
pub fn batch_create_nodes(&self, nodes: Vec<CreateNodeRequest>) -> Result<Vec<NodeId>> {
421
+
let mut node_ids = Vec::with_capacity(nodes.len());
422
+
423
+
// Pre-allocate IDs
424
+
let start_id = self.next_node_id.fetch_add(nodes.len(), Ordering::Relaxed);
425
+
426
+
// Batch insert with minimal locking
427
+
for (i, node_req) in nodes.into_iter().enumerate() {
428
+
let node_id = NodeId(start_id + i);
429
+
let node = self.create_node_from_request(node_id, node_req)?;
430
+
self.nodes.insert(node_id, node);
431
+
node_ids.push(node_id);
432
+
}
433
+
434
+
Ok(node_ids)
435
+
}
436
+
```
437
+
438
+
### Algorithm Optimizations
439
+
440
+
- **Parallel execution**: Multi-threaded algorithms
441
+
- **Early termination**: Stop when criteria met
442
+
- **Approximation**: Trade accuracy for speed
443
+
- **Incremental updates**: Avoid full recomputation
444
+
445
+
## Monitoring and Observability
446
+
447
+
### Metrics Collection
448
+
449
+
```rust
450
+
// Performance metrics
451
+
struct Metrics {
452
+
node_count: AtomicU64,
453
+
relationship_count: AtomicU64,
454
+
query_count: AtomicU64,
455
+
query_duration: Histogram,
456
+
memory_usage: Gauge,
457
+
}
458
+
```
459
+
460
+
### Distributed Tracing
461
+
462
+
```rust
463
+
use tracing::{instrument, Span};
464
+
465
+
#[instrument(skip(self, query))]
466
+
async fn execute_query(&self, query: &str) -> Result<QueryResult> {
467
+
let span = Span::current();
468
+
span.record("query.type", &query_type);
469
+
470
+
// Execution with span tracking
471
+
let result = self.execute_internal(query).await?;
472
+
473
+
span.record("result.rows", result.rows.len());
474
+
Ok(result)
475
+
}
476
+
```
477
+
478
+
### Health Checks
479
+
480
+
```rust
481
+
pub struct HealthCheck {
482
+
pub status: HealthStatus,
483
+
pub checks: Vec<ComponentHealth>,
484
+
}
485
+
486
+
pub struct ComponentHealth {
487
+
pub component: String,
488
+
pub status: HealthStatus,
489
+
pub message: Option<String>,
490
+
pub details: HashMap<String, Value>,
491
+
}
492
+
```
493
+
494
+
## Future Architecture Considerations
495
+
496
+
### Distributed Deployment
497
+
498
+
- **Sharding**: Horizontal partitioning strategies
499
+
- **Replication**: Master-slave and multi-master setups
500
+
- **Consensus**: Raft for distributed coordination
501
+
- **Load balancing**: Smart routing and failover
502
+
503
+
### Stream Processing
504
+
505
+
- **Real-time updates**: Event-driven architecture
506
+
- **Change streams**: Continuous query results
507
+
- **Temporal graphs**: Time-based operations
508
+
- **Event sourcing**: Audit trail and replay
509
+
510
+
### Machine Learning Integration
511
+
512
+
- **Graph embeddings**: Node and edge vectorization
513
+
- **Feature extraction**: Graph-based features
514
+
- **Model serving**: Integrated ML inference
515
+
- **AutoML**: Automated algorithm selection
516
+
517
+
This architecture enables GigaBrain to deliver high performance while maintaining flexibility and extensibility for future enhancements.
+337
docs/README.md
+337
docs/README.md
···
1
+
# GigaBrain Graph Database
2
+
3
+
GigaBrain is a high-performance, in-memory graph database written in Rust, designed for efficient graph operations, complex queries, and real-time analytics.
4
+
5
+
## Features
6
+
7
+
- **High Performance**: In-memory storage with optimized data structures
8
+
- **Cypher Query Language**: Full support for Neo4j-compatible Cypher queries
9
+
- **Graph Algorithms**: Built-in shortest path, centrality, community detection, and more
10
+
- **Dual API**: Both REST and gRPC interfaces for maximum flexibility
11
+
- **ACID Transactions**: Full transaction support with configurable isolation levels
12
+
- **Persistence**: Optional RocksDB backend for data durability
13
+
- **Authentication**: JWT-based authentication with role-based access control
14
+
- **Monitoring**: Built-in metrics and observability features
15
+
16
+
## Quick Start
17
+
18
+
### Installation
19
+
20
+
```bash
21
+
git clone https://github.com/your-org/gigabrain.git
22
+
cd gigabrain
23
+
cargo build --release
24
+
```
25
+
26
+
### Running the Server
27
+
28
+
```bash
29
+
# Start both REST (port 3000) and gRPC (port 50051) servers
30
+
cargo run --bin gigabrain
31
+
```
32
+
33
+
### Basic Usage
34
+
35
+
```bash
36
+
# Check server health
37
+
curl http://localhost:3000/api/v1/health
38
+
39
+
# Create a node
40
+
curl -X POST http://localhost:3000/api/v1/nodes \
41
+
-H "Content-Type: application/json" \
42
+
-d '{
43
+
"labels": ["Person"],
44
+
"properties": [
45
+
{"key": "name", "value": {"string_value": "Alice"}},
46
+
{"key": "age", "value": {"int_value": 30}}
47
+
]
48
+
}'
49
+
50
+
# Execute a Cypher query
51
+
curl -X POST http://localhost:3000/api/v1/cypher \
52
+
-H "Content-Type: application/json" \
53
+
-d '{
54
+
"query": "MATCH (n:Person) RETURN n.name, n.age"
55
+
}'
56
+
```
57
+
58
+
## Architecture
59
+
60
+
### Core Components
61
+
62
+
- **Graph Engine**: High-performance graph storage and traversal
63
+
- **Query Engine**: Cypher parser and execution engine
64
+
- **Algorithm Library**: Graph algorithms for analytics
65
+
- **API Layer**: REST and gRPC interfaces
66
+
- **Storage Layer**: Memory and persistent storage backends
67
+
- **Transaction Manager**: ACID transaction support
68
+
69
+
### Performance
70
+
71
+
- **Node Operations**: 1M+ operations/second
72
+
- **Relationship Traversal**: Sub-millisecond response times
73
+
- **Cypher Queries**: Optimized execution plans
74
+
- **Memory Usage**: Efficient memory layout with minimal overhead
75
+
- **Concurrent Access**: Lock-free data structures where possible
76
+
77
+
## Use Cases
78
+
79
+
### Social Networks
80
+
- Friend recommendations
81
+
- Community detection
82
+
- Influence analysis
83
+
- Content propagation modeling
84
+
85
+
### Fraud Detection
86
+
- Pattern recognition
87
+
- Anomaly detection
88
+
- Risk scoring
89
+
- Network analysis
90
+
91
+
### Knowledge Graphs
92
+
- Semantic search
93
+
- Recommendation engines
94
+
- Data lineage tracking
95
+
- Relationship discovery
96
+
97
+
### Supply Chain
98
+
- Route optimization
99
+
- Dependency analysis
100
+
- Impact assessment
101
+
- Bottleneck identification
102
+
103
+
## Configuration
104
+
105
+
### Server Configuration
106
+
107
+
```rust
108
+
ServerConfig {
109
+
rest_port: 3000,
110
+
grpc_port: 50051,
111
+
max_connections: 1000,
112
+
request_timeout: Duration::from_secs(30),
113
+
enable_cors: true,
114
+
jwt_secret: "your-secret-key",
115
+
}
116
+
```
117
+
118
+
### Storage Configuration
119
+
120
+
```rust
121
+
// In-memory storage (default)
122
+
let storage = MemoryStore::new();
123
+
124
+
// Persistent storage with RocksDB
125
+
let storage = RocksDBStore::new("./data")?;
126
+
```
127
+
128
+
### Authentication
129
+
130
+
```rust
131
+
// Generate JWT token
132
+
let auth_service = AuthService::new("secret-key");
133
+
let token = auth_service.generate_token("user123", "ReadWrite", 24)?;
134
+
135
+
// Validate token
136
+
let claims = auth_service.validate_token(&token)?;
137
+
```
138
+
139
+
## API Documentation
140
+
141
+
- [Full API Reference](./API.md)
142
+
- [gRPC Protocol Buffers](../proto/gigabrain.proto)
143
+
- [Examples](./examples/)
144
+
145
+
## Benchmarks
146
+
147
+
Performance benchmarks on a 16-core machine with 32GB RAM:
148
+
149
+
| Operation | Throughput | Latency (p99) |
150
+
|-----------|------------|---------------|
151
+
| Node Creation | 1.2M ops/sec | 2ms |
152
+
| Relationship Creation | 800K ops/sec | 3ms |
153
+
| Single-hop Traversal | 2M ops/sec | 0.5ms |
154
+
| Multi-hop Queries | 100K ops/sec | 15ms |
155
+
| Shortest Path (6 hops) | 50K ops/sec | 25ms |
156
+
| PageRank (1K nodes) | 1K ops/sec | 100ms |
157
+
158
+
## Development
159
+
160
+
### Building
161
+
162
+
```bash
163
+
# Debug build
164
+
cargo build
165
+
166
+
# Release build
167
+
cargo build --release
168
+
169
+
# With RocksDB support
170
+
cargo build --features rocksdb-storage
171
+
```
172
+
173
+
### Testing
174
+
175
+
```bash
176
+
# Run all tests
177
+
cargo test
178
+
179
+
# Run with RocksDB features
180
+
cargo test --features rocksdb-storage
181
+
182
+
# Property-based testing
183
+
cargo test --test property_tests
184
+
185
+
# Benchmarks
186
+
cargo bench
187
+
```
188
+
189
+
### Contributing
190
+
191
+
1. Fork the repository
192
+
2. Create a feature branch
193
+
3. Add tests for new functionality
194
+
4. Ensure all tests pass
195
+
5. Submit a pull request
196
+
197
+
### Code Style
198
+
199
+
- Follow Rust standard formatting (`cargo fmt`)
200
+
- Use `cargo clippy` for linting
201
+
- Write comprehensive tests
202
+
- Document public APIs
203
+
204
+
## Deployment
205
+
206
+
### Docker
207
+
208
+
```dockerfile
209
+
FROM rust:1.70 as builder
210
+
WORKDIR /app
211
+
COPY . .
212
+
RUN cargo build --release
213
+
214
+
FROM debian:bookworm-slim
215
+
COPY --from=builder /app/target/release/gigabrain /usr/local/bin/
216
+
EXPOSE 3000 50051
217
+
CMD ["gigabrain"]
218
+
```
219
+
220
+
### Kubernetes
221
+
222
+
```yaml
223
+
apiVersion: apps/v1
224
+
kind: Deployment
225
+
metadata:
226
+
name: gigabrain
227
+
spec:
228
+
replicas: 3
229
+
selector:
230
+
matchLabels:
231
+
app: gigabrain
232
+
template:
233
+
metadata:
234
+
labels:
235
+
app: gigabrain
236
+
spec:
237
+
containers:
238
+
- name: gigabrain
239
+
image: gigabrain:latest
240
+
ports:
241
+
- containerPort: 3000
242
+
- containerPort: 50051
243
+
env:
244
+
- name: JWT_SECRET
245
+
valueFrom:
246
+
secretKeyRef:
247
+
name: gigabrain-secrets
248
+
key: jwt-secret
249
+
```
250
+
251
+
### Production Considerations
252
+
253
+
- **High Availability**: Deploy multiple instances with load balancing
254
+
- **Backup Strategy**: Regular snapshots for persistent storage
255
+
- **Monitoring**: Use Prometheus metrics and distributed tracing
256
+
- **Security**: Enable TLS, rotate JWT secrets regularly
257
+
- **Resource Limits**: Configure memory and CPU limits appropriately
258
+
259
+
## Monitoring and Observability
260
+
261
+
### Metrics
262
+
263
+
GigaBrain exposes Prometheus-compatible metrics:
264
+
265
+
```
266
+
# Node and relationship counts
267
+
gigabrain_nodes_total
268
+
gigabrain_relationships_total
269
+
270
+
# Query performance
271
+
gigabrain_query_duration_seconds
272
+
gigabrain_query_errors_total
273
+
274
+
# API performance
275
+
gigabrain_http_requests_total
276
+
gigabrain_grpc_requests_total
277
+
278
+
# System resources
279
+
gigabrain_memory_usage_bytes
280
+
gigabrain_cpu_usage_percent
281
+
```
282
+
283
+
### Logging
284
+
285
+
Structured logging with multiple levels:
286
+
287
+
```rust
288
+
use tracing::{info, warn, error};
289
+
290
+
info!(node_id = %node.id, "Node created successfully");
291
+
warn!(query = %cypher, duration_ms = %elapsed, "Slow query detected");
292
+
error!(error = %e, "Failed to process request");
293
+
```
294
+
295
+
### Tracing
296
+
297
+
Distributed tracing support with OpenTelemetry:
298
+
299
+
```rust
300
+
use tracing_opentelemetry::OpenTelemetryLayer;
301
+
302
+
// Configure tracing
303
+
let tracer = opentelemetry_jaeger::new_pipeline()
304
+
.with_service_name("gigabrain")
305
+
.install_simple()?;
306
+
```
307
+
308
+
## License
309
+
310
+
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
311
+
312
+
## Support
313
+
314
+
- **Documentation**: [docs/](./docs/)
315
+
- **Issues**: [GitHub Issues](https://github.com/your-org/gigabrain/issues)
316
+
- **Discussions**: [GitHub Discussions](https://github.com/your-org/gigabrain/discussions)
317
+
- **Discord**: [Community Server](https://discord.gg/gigabrain)
318
+
319
+
## Roadmap
320
+
321
+
### Version 0.2.0
322
+
- [ ] Distributed deployment support
323
+
- [ ] Advanced query optimization
324
+
- [ ] Real-time streaming APIs
325
+
- [ ] Graph visualization tools
326
+
327
+
### Version 0.3.0
328
+
- [ ] Machine learning integration
329
+
- [ ] Time-series graph support
330
+
- [ ] Advanced security features
331
+
- [ ] Cloud provider integrations
332
+
333
+
### Version 1.0.0
334
+
- [ ] Production-ready stability
335
+
- [ ] Comprehensive documentation
336
+
- [ ] Enterprise features
337
+
- [ ] Professional support options
+342
docs/examples/README.md
+342
docs/examples/README.md
···
1
+
# GigaBrain Examples
2
+
3
+
This directory contains practical examples of using GigaBrain for various use cases.
4
+
5
+
## Example Categories
6
+
7
+
### [Basic Operations](./basic-operations.md)
8
+
- Creating nodes and relationships
9
+
- Basic queries
10
+
- Property management
11
+
- Graph traversal
12
+
13
+
### [Social Network](./social-network.md)
14
+
- User profiles and friendships
15
+
- Friend recommendations
16
+
- Community detection
17
+
- Influence analysis
18
+
19
+
### [Fraud Detection](./fraud-detection.md)
20
+
- Transaction networks
21
+
- Anomaly detection
22
+
- Risk scoring
23
+
- Pattern recognition
24
+
25
+
### [Knowledge Graph](./knowledge-graph.md)
26
+
- Entity relationships
27
+
- Semantic queries
28
+
- Recommendation systems
29
+
- Data lineage
30
+
31
+
### [Supply Chain](./supply-chain.md)
32
+
- Product dependencies
33
+
- Route optimization
34
+
- Supplier networks
35
+
- Impact analysis
36
+
37
+
### [Performance Testing](./performance-testing.md)
38
+
- Load testing scripts
39
+
- Benchmark scenarios
40
+
- Performance optimization
41
+
- Monitoring examples
42
+
43
+
## Running Examples
44
+
45
+
Each example includes:
46
+
- **Setup instructions**: Required data and configuration
47
+
- **Code samples**: REST API calls and gRPC examples
48
+
- **Expected output**: Sample responses and results
49
+
- **Variations**: Alternative approaches and extensions
50
+
51
+
### Prerequisites
52
+
53
+
1. **Running GigaBrain server**:
54
+
```bash
55
+
cargo run --bin gigabrain
56
+
```
57
+
58
+
2. **Required tools**:
59
+
```bash
60
+
# For REST API examples
61
+
curl
62
+
63
+
# For gRPC examples
64
+
grpcurl
65
+
66
+
# For data generation
67
+
python3 (optional)
68
+
```
69
+
70
+
3. **Authentication** (if enabled):
71
+
```bash
72
+
export GIGABRAIN_TOKEN="your-jwt-token"
73
+
```
74
+
75
+
### Quick Start
76
+
77
+
1. **Basic node creation**:
78
+
```bash
79
+
cd examples/basic-operations
80
+
./01-create-nodes.sh
81
+
```
82
+
83
+
2. **Load sample social network**:
84
+
```bash
85
+
cd examples/social-network
86
+
./setup-network.sh
87
+
```
88
+
89
+
3. **Run performance tests**:
90
+
```bash
91
+
cd examples/performance-testing
92
+
./benchmark-suite.sh
93
+
```
94
+
95
+
## Example Structure
96
+
97
+
Each example follows this structure:
98
+
99
+
```
100
+
example-name/
101
+
├── README.md # Detailed explanation
102
+
├── setup.sh # Data setup script
103
+
├── queries/ # Sample queries
104
+
│ ├── basic.cypher
105
+
│ └── advanced.cypher
106
+
├── rest-api/ # REST API examples
107
+
│ ├── create-data.sh
108
+
│ └── run-queries.sh
109
+
├── grpc-client/ # gRPC examples
110
+
│ ├── client.py
111
+
│ └── client.go
112
+
└── data/ # Sample datasets
113
+
└── sample.json
114
+
```
115
+
116
+
## Integration Examples
117
+
118
+
### Python Client
119
+
120
+
```python
121
+
import requests
122
+
import json
123
+
124
+
class GigaBrainClient:
125
+
def __init__(self, base_url="http://localhost:3000/api/v1", token=None):
126
+
self.base_url = base_url
127
+
self.headers = {"Content-Type": "application/json"}
128
+
if token:
129
+
self.headers["Authorization"] = f"Bearer {token}"
130
+
131
+
def create_node(self, labels, properties):
132
+
response = requests.post(
133
+
f"{self.base_url}/nodes",
134
+
headers=self.headers,
135
+
json={"labels": labels, "properties": properties}
136
+
)
137
+
return response.json()
138
+
139
+
def execute_cypher(self, query, parameters=None):
140
+
response = requests.post(
141
+
f"{self.base_url}/cypher",
142
+
headers=self.headers,
143
+
json={"query": query, "parameters": parameters or {}}
144
+
)
145
+
return response.json()
146
+
147
+
# Usage
148
+
client = GigaBrainClient()
149
+
node = client.create_node(["Person"], [
150
+
{"key": "name", "value": {"string_value": "Alice"}}
151
+
])
152
+
print(f"Created node: {node}")
153
+
```
154
+
155
+
### Go Client
156
+
157
+
```go
158
+
package main
159
+
160
+
import (
161
+
"context"
162
+
"log"
163
+
"google.golang.org/grpc"
164
+
pb "your-org/gigabrain/proto"
165
+
)
166
+
167
+
func main() {
168
+
conn, err := grpc.Dial("localhost:50051", grpc.WithInsecure())
169
+
if err != nil {
170
+
log.Fatalf("Failed to connect: %v", err)
171
+
}
172
+
defer conn.Close()
173
+
174
+
client := pb.NewGigaBrainServiceClient(conn)
175
+
176
+
// Create a node
177
+
node, err := client.CreateNode(context.Background(), &pb.CreateNodeRequest{
178
+
Labels: []string{"Person"},
179
+
Properties: []*pb.Property{
180
+
{
181
+
Key: "name",
182
+
Value: &pb.PropertyValue{
183
+
Value: &pb.PropertyValue_StringValue{
184
+
StringValue: "Alice",
185
+
},
186
+
},
187
+
},
188
+
},
189
+
})
190
+
191
+
if err != nil {
192
+
log.Fatalf("CreateNode failed: %v", err)
193
+
}
194
+
195
+
log.Printf("Created node with ID: %d", node.NodeId.Id)
196
+
}
197
+
```
198
+
199
+
### JavaScript/Node.js Client
200
+
201
+
```javascript
202
+
const axios = require('axios');
203
+
204
+
class GigaBrainClient {
205
+
constructor(baseURL = 'http://localhost:3000/api/v1', token = null) {
206
+
this.client = axios.create({
207
+
baseURL,
208
+
headers: {
209
+
'Content-Type': 'application/json',
210
+
...(token && { 'Authorization': `Bearer ${token}` })
211
+
}
212
+
});
213
+
}
214
+
215
+
async createNode(labels, properties) {
216
+
const response = await this.client.post('/nodes', {
217
+
labels,
218
+
properties
219
+
});
220
+
return response.data;
221
+
}
222
+
223
+
async executeCypher(query, parameters = {}) {
224
+
const response = await this.client.post('/cypher', {
225
+
query,
226
+
parameters
227
+
});
228
+
return response.data;
229
+
}
230
+
}
231
+
232
+
// Usage
233
+
const client = new GigaBrainClient();
234
+
235
+
client.createNode(['Person'], [
236
+
{ key: 'name', value: { string_value: 'Alice' } }
237
+
]).then(node => {
238
+
console.log('Created node:', node);
239
+
});
240
+
```
241
+
242
+
## Common Patterns
243
+
244
+
### Data Import
245
+
246
+
```bash
247
+
# Bulk import from JSON
248
+
curl -X POST http://localhost:3000/api/v1/bulk/import \
249
+
-H "Content-Type: application/json" \
250
+
-d @large-dataset.json
251
+
252
+
# Import with transactions
253
+
curl -X POST http://localhost:3000/api/v1/transactions/begin
254
+
# ... multiple operations ...
255
+
curl -X POST http://localhost:3000/api/v1/transactions/commit
256
+
```
257
+
258
+
### Query Optimization
259
+
260
+
```cypher
261
+
// Use indexes for faster lookups
262
+
CREATE INDEX ON :Person(email);
263
+
264
+
// Efficient pattern matching
265
+
MATCH (p:Person {email: $email})-[:FRIENDS]->(friend)
266
+
RETURN friend.name
267
+
LIMIT 10;
268
+
269
+
// Avoid cartesian products
270
+
MATCH (p:Person)-[:FRIENDS]->(f:Person)
271
+
WHERE p.age > 25 AND f.age > 25
272
+
RETURN COUNT(*)
273
+
```
274
+
275
+
### Error Handling
276
+
277
+
```python
278
+
try:
279
+
result = client.execute_cypher("MATCH (n) RETURN n LIMIT 10")
280
+
if result.get('error'):
281
+
print(f"Query error: {result['error']}")
282
+
else:
283
+
print(f"Found {len(result['results'])} results")
284
+
except requests.exceptions.RequestException as e:
285
+
print(f"Network error: {e}")
286
+
```
287
+
288
+
## Performance Tips
289
+
290
+
1. **Batch Operations**: Group multiple operations in transactions
291
+
2. **Use Indexes**: Create indexes on frequently queried properties
292
+
3. **Limit Results**: Always use LIMIT in development queries
293
+
4. **Property Types**: Use appropriate property types for your data
294
+
5. **Query Planning**: Analyze query execution plans for optimization
295
+
296
+
## Troubleshooting
297
+
298
+
### Common Issues
299
+
300
+
1. **Connection Refused**:
301
+
- Ensure GigaBrain server is running
302
+
- Check port configuration (3000 for REST, 50051 for gRPC)
303
+
304
+
2. **Authentication Errors**:
305
+
- Verify JWT token is valid and not expired
306
+
- Check token permissions for the operation
307
+
308
+
3. **Query Timeouts**:
309
+
- Reduce query complexity
310
+
- Add appropriate LIMIT clauses
311
+
- Consider breaking large queries into smaller parts
312
+
313
+
4. **Memory Issues**:
314
+
- Monitor memory usage during large imports
315
+
- Use streaming for large result sets
316
+
- Configure appropriate JVM heap size
317
+
318
+
### Debug Mode
319
+
320
+
Enable debug logging for troubleshooting:
321
+
322
+
```bash
323
+
RUST_LOG=debug cargo run --bin gigabrain
324
+
```
325
+
326
+
## Contributing Examples
327
+
328
+
To contribute new examples:
329
+
330
+
1. Create a new directory under `examples/`
331
+
2. Follow the standard structure outlined above
332
+
3. Include comprehensive documentation
333
+
4. Test all code samples
334
+
5. Submit a pull request
335
+
336
+
### Guidelines
337
+
338
+
- **Clear documentation**: Explain the use case and approach
339
+
- **Working code**: All examples must run successfully
340
+
- **Error handling**: Include proper error handling
341
+
- **Performance notes**: Mention any performance considerations
342
+
- **Extensions**: Suggest ways to extend or modify the example
+558
docs/examples/basic-operations.md
+558
docs/examples/basic-operations.md
···
1
+
# Basic Operations Examples
2
+
3
+
This guide covers fundamental operations in GigaBrain: creating nodes, relationships, and running basic queries.
4
+
5
+
## Table of Contents
6
+
7
+
- [Setup](#setup)
8
+
- [Node Operations](#node-operations)
9
+
- [Relationship Operations](#relationship-operations)
10
+
- [Basic Queries](#basic-queries)
11
+
- [Property Management](#property-management)
12
+
- [Error Handling](#error-handling)
13
+
14
+
## Setup
15
+
16
+
Ensure GigaBrain server is running:
17
+
18
+
```bash
19
+
cargo run --bin gigabrain
20
+
```
21
+
22
+
The server will start with:
23
+
- REST API on port 3000
24
+
- gRPC API on port 50051
25
+
26
+
## Node Operations
27
+
28
+
### Creating Nodes
29
+
30
+
#### Simple Node Creation
31
+
32
+
```bash
33
+
# Create a person node
34
+
curl -X POST http://localhost:3000/api/v1/nodes \
35
+
-H "Content-Type: application/json" \
36
+
-d '{
37
+
"labels": ["Person"],
38
+
"properties": [
39
+
{
40
+
"key": "name",
41
+
"value": {"string_value": "Alice Johnson"}
42
+
},
43
+
{
44
+
"key": "age",
45
+
"value": {"int_value": 28}
46
+
},
47
+
{
48
+
"key": "email",
49
+
"value": {"string_value": "alice@example.com"}
50
+
}
51
+
]
52
+
}'
53
+
```
54
+
55
+
**Expected Response:**
56
+
```json
57
+
{
58
+
"node_id": {
59
+
"id": 1
60
+
}
61
+
}
62
+
```
63
+
64
+
#### Node with Multiple Labels
65
+
66
+
```bash
67
+
# Create a person who is also an employee
68
+
curl -X POST http://localhost:3000/api/v1/nodes \
69
+
-H "Content-Type: application/json" \
70
+
-d '{
71
+
"labels": ["Person", "Employee"],
72
+
"properties": [
73
+
{
74
+
"key": "name",
75
+
"value": {"string_value": "Bob Smith"}
76
+
},
77
+
{
78
+
"key": "employee_id",
79
+
"value": {"string_value": "EMP001"}
80
+
},
81
+
{
82
+
"key": "salary",
83
+
"value": {"float_value": 75000.0}
84
+
},
85
+
{
86
+
"key": "active",
87
+
"value": {"bool_value": true}
88
+
}
89
+
]
90
+
}'
91
+
```
92
+
93
+
### Retrieving Nodes
94
+
95
+
```bash
96
+
# Get node by ID
97
+
curl http://localhost:3000/api/v1/nodes/1
98
+
```
99
+
100
+
**Expected Response:**
101
+
```json
102
+
{
103
+
"node": {
104
+
"id": {"id": 1},
105
+
"labels": ["Person"],
106
+
"properties": [
107
+
{
108
+
"key": "name",
109
+
"value": {"string_value": "Alice Johnson"}
110
+
},
111
+
{
112
+
"key": "age",
113
+
"value": {"int_value": 28}
114
+
},
115
+
{
116
+
"key": "email",
117
+
"value": {"string_value": "alice@example.com"}
118
+
}
119
+
]
120
+
}
121
+
}
122
+
```
123
+
124
+
### Updating Nodes
125
+
126
+
```bash
127
+
# Update node properties
128
+
curl -X PUT http://localhost:3000/api/v1/nodes/1 \
129
+
-H "Content-Type: application/json" \
130
+
-d '{
131
+
"node_id": {"id": 1},
132
+
"labels": ["Person", "Customer"],
133
+
"properties": [
134
+
{
135
+
"key": "name",
136
+
"value": {"string_value": "Alice Johnson-Smith"}
137
+
},
138
+
{
139
+
"key": "age",
140
+
"value": {"int_value": 29}
141
+
},
142
+
{
143
+
"key": "status",
144
+
"value": {"string_value": "premium"}
145
+
}
146
+
]
147
+
}'
148
+
```
149
+
150
+
### Deleting Nodes
151
+
152
+
```bash
153
+
# Delete a node
154
+
curl -X DELETE http://localhost:3000/api/v1/nodes/1
155
+
```
156
+
157
+
**Expected Response:**
158
+
```json
159
+
{
160
+
"success": true
161
+
}
162
+
```
163
+
164
+
## Relationship Operations
165
+
166
+
### Creating Relationships
167
+
168
+
#### Basic Relationship
169
+
170
+
```bash
171
+
# Create friendship relationship
172
+
curl -X POST http://localhost:3000/api/v1/relationships \
173
+
-H "Content-Type: application/json" \
174
+
-d '{
175
+
"start_node": {"id": 1},
176
+
"end_node": {"id": 2},
177
+
"rel_type": "FRIENDS",
178
+
"properties": [
179
+
{
180
+
"key": "since",
181
+
"value": {"string_value": "2023-01-15"}
182
+
},
183
+
{
184
+
"key": "closeness",
185
+
"value": {"float_value": 0.8}
186
+
}
187
+
]
188
+
}'
189
+
```
190
+
191
+
#### Work Relationship
192
+
193
+
```bash
194
+
# Create employment relationship
195
+
curl -X POST http://localhost:3000/api/v1/relationships \
196
+
-H "Content-Type: application/json" \
197
+
-d '{
198
+
"start_node": {"id": 2},
199
+
"end_node": {"id": 3},
200
+
"rel_type": "WORKS_FOR",
201
+
"properties": [
202
+
{
203
+
"key": "position",
204
+
"value": {"string_value": "Software Engineer"}
205
+
},
206
+
{
207
+
"key": "start_date",
208
+
"value": {"string_value": "2022-03-01"}
209
+
},
210
+
{
211
+
"key": "remote",
212
+
"value": {"bool_value": true}
213
+
}
214
+
]
215
+
}'
216
+
```
217
+
218
+
### Retrieving Relationships
219
+
220
+
```bash
221
+
# Get relationship by ID
222
+
curl http://localhost:3000/api/v1/relationships/1
223
+
```
224
+
225
+
**Expected Response:**
226
+
```json
227
+
{
228
+
"relationship": {
229
+
"id": {"id": 1},
230
+
"start_node": {"id": 1},
231
+
"end_node": {"id": 2},
232
+
"rel_type": "FRIENDS",
233
+
"properties": [
234
+
{
235
+
"key": "since",
236
+
"value": {"string_value": "2023-01-15"}
237
+
},
238
+
{
239
+
"key": "closeness",
240
+
"value": {"float_value": 0.8}
241
+
}
242
+
]
243
+
}
244
+
}
245
+
```
246
+
247
+
### Deleting Relationships
248
+
249
+
```bash
250
+
# Delete a relationship
251
+
curl -X DELETE http://localhost:3000/api/v1/relationships/1
252
+
```
253
+
254
+
## Basic Queries
255
+
256
+
### Simple Queries
257
+
258
+
#### Find All Nodes
259
+
260
+
```bash
261
+
curl -X POST http://localhost:3000/api/v1/cypher \
262
+
-H "Content-Type: application/json" \
263
+
-d '{
264
+
"query": "MATCH (n) RETURN n LIMIT 10"
265
+
}'
266
+
```
267
+
268
+
#### Find Nodes by Label
269
+
270
+
```bash
271
+
curl -X POST http://localhost:3000/api/v1/cypher \
272
+
-H "Content-Type: application/json" \
273
+
-d '{
274
+
"query": "MATCH (p:Person) RETURN p.name, p.age ORDER BY p.age DESC"
275
+
}'
276
+
```
277
+
278
+
#### Find Relationships
279
+
280
+
```bash
281
+
curl -X POST http://localhost:3000/api/v1/cypher \
282
+
-H "Content-Type: application/json" \
283
+
-d '{
284
+
"query": "MATCH (a)-[r:FRIENDS]->(b) RETURN a.name, r.since, b.name"
285
+
}'
286
+
```
287
+
288
+
### Parameterized Queries
289
+
290
+
```bash
291
+
curl -X POST http://localhost:3000/api/v1/cypher \
292
+
-H "Content-Type: application/json" \
293
+
-d '{
294
+
"query": "MATCH (p:Person) WHERE p.age > $min_age RETURN p.name, p.age",
295
+
"parameters": {
296
+
"min_age": 25
297
+
}
298
+
}'
299
+
```
300
+
301
+
### Complex Queries
302
+
303
+
#### Find Friends of Friends
304
+
305
+
```bash
306
+
curl -X POST http://localhost:3000/api/v1/cypher \
307
+
-H "Content-Type: application/json" \
308
+
-d '{
309
+
"query": "MATCH (p:Person {name: $name})-[:FRIENDS]-(friend)-[:FRIENDS]-(fof) WHERE fof <> p RETURN DISTINCT fof.name",
310
+
"parameters": {
311
+
"name": "Alice Johnson"
312
+
}
313
+
}'
314
+
```
315
+
316
+
#### Find Colleagues
317
+
318
+
```bash
319
+
curl -X POST http://localhost:3000/api/v1/cypher \
320
+
-H "Content-Type: application/json" \
321
+
-d '{
322
+
"query": "MATCH (p:Person)-[:WORKS_FOR]->(company)<-[:WORKS_FOR]-(colleague) WHERE p.name = $name AND colleague <> p RETURN colleague.name, colleague.employee_id",
323
+
"parameters": {
324
+
"name": "Bob Smith"
325
+
}
326
+
}'
327
+
```
328
+
329
+
## Property Management
330
+
331
+
### Property Types
332
+
333
+
GigaBrain supports various property types:
334
+
335
+
```bash
336
+
# String properties
337
+
{
338
+
"key": "name",
339
+
"value": {"string_value": "John Doe"}
340
+
}
341
+
342
+
# Integer properties
343
+
{
344
+
"key": "age",
345
+
"value": {"int_value": 30}
346
+
}
347
+
348
+
# Float properties
349
+
{
350
+
"key": "score",
351
+
"value": {"float_value": 85.5}
352
+
}
353
+
354
+
# Boolean properties
355
+
{
356
+
"key": "active",
357
+
"value": {"bool_value": true}
358
+
}
359
+
360
+
# Binary data
361
+
{
362
+
"key": "avatar",
363
+
"value": {"bytes_value": "base64-encoded-data"}
364
+
}
365
+
```
366
+
367
+
### Property Queries
368
+
369
+
#### Filter by Property Value
370
+
371
+
```bash
372
+
curl -X POST http://localhost:3000/api/v1/cypher \
373
+
-H "Content-Type: application/json" \
374
+
-d '{
375
+
"query": "MATCH (p:Person) WHERE p.age >= 25 AND p.age <= 35 RETURN p.name, p.age"
376
+
}'
377
+
```
378
+
379
+
#### Property Existence
380
+
381
+
```bash
382
+
curl -X POST http://localhost:3000/api/v1/cypher \
383
+
-H "Content-Type: application/json" \
384
+
-d '{
385
+
"query": "MATCH (p:Person) WHERE EXISTS(p.email) RETURN p.name, p.email"
386
+
}'
387
+
```
388
+
389
+
#### String Operations
390
+
391
+
```bash
392
+
curl -X POST http://localhost:3000/api/v1/cypher \
393
+
-H "Content-Type: application/json" \
394
+
-d '{
395
+
"query": "MATCH (p:Person) WHERE p.name CONTAINS $substring RETURN p.name",
396
+
"parameters": {
397
+
"substring": "John"
398
+
}
399
+
}'
400
+
```
401
+
402
+
### Updating Properties
403
+
404
+
#### Add New Property
405
+
406
+
```bash
407
+
curl -X POST http://localhost:3000/api/v1/cypher \
408
+
-H "Content-Type: application/json" \
409
+
-d '{
410
+
"query": "MATCH (p:Person {name: $name}) SET p.last_login = $timestamp RETURN p",
411
+
"parameters": {
412
+
"name": "Alice Johnson",
413
+
"timestamp": "2024-01-15T10:30:00Z"
414
+
}
415
+
}'
416
+
```
417
+
418
+
#### Remove Property
419
+
420
+
```bash
421
+
curl -X POST http://localhost:3000/api/v1/cypher \
422
+
-H "Content-Type: application/json" \
423
+
-d '{
424
+
"query": "MATCH (p:Person {name: $name}) REMOVE p.temporary_field RETURN p",
425
+
"parameters": {
426
+
"name": "Alice Johnson"
427
+
}
428
+
}'
429
+
```
430
+
431
+
## Error Handling
432
+
433
+
### Common Error Scenarios
434
+
435
+
#### Node Not Found
436
+
437
+
```bash
438
+
curl http://localhost:3000/api/v1/nodes/999999
439
+
```
440
+
441
+
**Response (404):**
442
+
```json
443
+
{
444
+
"error": {
445
+
"code": "NOT_FOUND",
446
+
"message": "Node not found",
447
+
"details": {}
448
+
}
449
+
}
450
+
```
451
+
452
+
#### Invalid Property Type
453
+
454
+
```bash
455
+
curl -X POST http://localhost:3000/api/v1/nodes \
456
+
-H "Content-Type: application/json" \
457
+
-d '{
458
+
"labels": ["Person"],
459
+
"properties": [
460
+
{
461
+
"key": "age",
462
+
"value": {"string_value": "not a number"}
463
+
}
464
+
]
465
+
}'
466
+
```
467
+
468
+
#### Syntax Error in Cypher
469
+
470
+
```bash
471
+
curl -X POST http://localhost:3000/api/v1/cypher \
472
+
-H "Content-Type: application/json" \
473
+
-d '{
474
+
"query": "MATCH (n) RETURN invalid_syntax"
475
+
}'
476
+
```
477
+
478
+
**Response:**
479
+
```json
480
+
{
481
+
"results": [],
482
+
"error": "Parse error: unexpected token 'invalid_syntax'",
483
+
"execution_time_ms": 0
484
+
}
485
+
```
486
+
487
+
### Error Handling Best Practices
488
+
489
+
1. **Check HTTP Status Codes**: Always verify the response status
490
+
2. **Parse Error Messages**: Extract meaningful error information
491
+
3. **Retry Logic**: Implement appropriate retry strategies
492
+
4. **Validation**: Validate input data before sending requests
493
+
5. **Logging**: Log errors for debugging and monitoring
494
+
495
+
### Example Error Handling (Python)
496
+
497
+
```python
498
+
import requests
499
+
import json
500
+
501
+
def safe_create_node(labels, properties):
502
+
try:
503
+
response = requests.post(
504
+
"http://localhost:3000/api/v1/nodes",
505
+
headers={"Content-Type": "application/json"},
506
+
json={"labels": labels, "properties": properties},
507
+
timeout=10
508
+
)
509
+
510
+
if response.status_code == 200:
511
+
return response.json()
512
+
elif response.status_code == 400:
513
+
error = response.json().get('error', {})
514
+
print(f"Validation error: {error.get('message', 'Unknown error')}")
515
+
return None
516
+
elif response.status_code == 500:
517
+
print("Server error occurred")
518
+
return None
519
+
else:
520
+
print(f"Unexpected status code: {response.status_code}")
521
+
return None
522
+
523
+
except requests.exceptions.Timeout:
524
+
print("Request timed out")
525
+
return None
526
+
except requests.exceptions.ConnectionError:
527
+
print("Could not connect to server")
528
+
return None
529
+
except json.JSONDecodeError:
530
+
print("Invalid JSON response")
531
+
return None
532
+
533
+
# Usage
534
+
result = safe_create_node(
535
+
["Person"],
536
+
[{"key": "name", "value": {"string_value": "Test User"}}]
537
+
)
538
+
539
+
if result:
540
+
print(f"Created node: {result}")
541
+
else:
542
+
print("Failed to create node")
543
+
```
544
+
545
+
## Performance Tips
546
+
547
+
1. **Use Indexes**: Create indexes on frequently queried properties
548
+
2. **Limit Results**: Always use LIMIT in development and test queries
549
+
3. **Batch Operations**: Group multiple operations when possible
550
+
4. **Property Selection**: Only return properties you need
551
+
5. **Query Planning**: Analyze query execution plans for optimization
552
+
553
+
## Next Steps
554
+
555
+
- Explore [Social Network Examples](./social-network.md)
556
+
- Learn about [Graph Algorithms](../API.md#graph-algorithms)
557
+
- Check out [Performance Testing](./performance-testing.md)
558
+
- Review [gRPC Examples](./grpc-examples.md)
+231
-15
src/server/rest.rs
+231
-15
src/server/rest.rs
···
445
445
"title": "GigaBrain Graph Database API",
446
446
"version": env!("CARGO_PKG_VERSION"),
447
447
"description": "A high-performance graph database with Cypher support",
448
+
"documentation_url": "https://github.com/your-org/gigabrain/blob/master/docs/API.md",
448
449
"endpoints": {
449
450
"health": {
450
-
"GET /health": "Health check endpoint"
451
+
"GET /health": {
452
+
"description": "Health check endpoint",
453
+
"response": {
454
+
"status": "healthy",
455
+
"version": "0.1.0",
456
+
"uptime_seconds": 3600
457
+
}
458
+
}
451
459
},
452
460
"nodes": {
453
-
"POST /api/v1/nodes": "Create a new node",
454
-
"GET /api/v1/nodes/:id": "Get a node by ID",
455
-
"PUT /api/v1/nodes/:id": "Update a node",
456
-
"DELETE /api/v1/nodes/:id": "Delete a node"
461
+
"POST /api/v1/nodes": {
462
+
"description": "Create a new node",
463
+
"request_body": {
464
+
"labels": ["Person"],
465
+
"properties": [
466
+
{"key": "name", "value": {"string_value": "John Doe"}},
467
+
{"key": "age", "value": {"int_value": 30}}
468
+
]
469
+
},
470
+
"response": {"node_id": {"id": 12345}}
471
+
},
472
+
"GET /api/v1/nodes/{id}": {
473
+
"description": "Get a node by ID",
474
+
"parameters": {"id": "Node ID (integer)"},
475
+
"response": {
476
+
"node": {
477
+
"id": {"id": 12345},
478
+
"labels": ["Person"],
479
+
"properties": [
480
+
{"key": "name", "value": {"string_value": "John Doe"}}
481
+
]
482
+
}
483
+
}
484
+
},
485
+
"PUT /api/v1/nodes/{id}": {
486
+
"description": "Update a node",
487
+
"parameters": {"id": "Node ID (integer)"},
488
+
"request_body": {
489
+
"node_id": {"id": 12345},
490
+
"labels": ["Person", "Employee"],
491
+
"properties": [
492
+
{"key": "title", "value": {"string_value": "Manager"}}
493
+
]
494
+
},
495
+
"response": {"success": true}
496
+
},
497
+
"DELETE /api/v1/nodes/{id}": {
498
+
"description": "Delete a node",
499
+
"parameters": {"id": "Node ID (integer)"},
500
+
"response": {"success": true}
501
+
}
457
502
},
458
503
"relationships": {
459
-
"POST /api/v1/relationships": "Create a new relationship",
460
-
"GET /api/v1/relationships/:id": "Get a relationship by ID",
461
-
"DELETE /api/v1/relationships/:id": "Delete a relationship"
504
+
"POST /api/v1/relationships": {
505
+
"description": "Create a new relationship",
506
+
"request_body": {
507
+
"start_node": {"id": 1},
508
+
"end_node": {"id": 2},
509
+
"rel_type": "KNOWS",
510
+
"properties": [
511
+
{"key": "since", "value": {"string_value": "2023-01-01"}}
512
+
]
513
+
},
514
+
"response": {"relationship_id": {"id": 98765}}
515
+
},
516
+
"GET /api/v1/relationships/{id}": {
517
+
"description": "Get a relationship by ID",
518
+
"parameters": {"id": "Relationship ID (integer)"},
519
+
"response": {
520
+
"relationship": {
521
+
"id": {"id": 98765},
522
+
"start_node": {"id": 1},
523
+
"end_node": {"id": 2},
524
+
"rel_type": "KNOWS",
525
+
"properties": []
526
+
}
527
+
}
528
+
},
529
+
"DELETE /api/v1/relationships/{id}": {
530
+
"description": "Delete a relationship",
531
+
"parameters": {"id": "Relationship ID (integer)"},
532
+
"response": {"success": true}
533
+
}
462
534
},
463
535
"cypher": {
464
-
"POST /api/v1/cypher": "Execute Cypher queries"
536
+
"POST /api/v1/cypher": {
537
+
"description": "Execute Cypher queries",
538
+
"request_body": {
539
+
"query": "MATCH (n:Person) WHERE n.age > $min_age RETURN n.name, n.age",
540
+
"parameters": {"min_age": 25}
541
+
},
542
+
"response": {
543
+
"results": [
544
+
{
545
+
"columns": ["n.name", "n.age"],
546
+
"data": [["John Doe", 30], ["Jane Smith", 28]]
547
+
}
548
+
],
549
+
"error": null,
550
+
"execution_time_ms": 15
551
+
}
552
+
}
465
553
},
466
554
"algorithms": {
467
-
"POST /api/v1/algorithms/shortest-path": "Find shortest path between nodes",
468
-
"POST /api/v1/algorithms/pagerank": "Calculate PageRank centrality",
469
-
"POST /api/v1/algorithms/centrality": "Calculate various centrality measures",
470
-
"POST /api/v1/algorithms/communities": "Detect communities in the graph"
555
+
"POST /api/v1/algorithms/shortest-path": {
556
+
"description": "Find shortest path between nodes",
557
+
"request_body": {
558
+
"start_node": {"id": 1},
559
+
"end_node": {"id": 10},
560
+
"max_depth": 6
561
+
},
562
+
"response": {
563
+
"path": [1, 5, 8, 10],
564
+
"total_weight": 3.0
565
+
}
566
+
},
567
+
"POST /api/v1/algorithms/pagerank": {
568
+
"description": "Calculate PageRank centrality",
569
+
"request_body": {
570
+
"nodes": [{"id": 1}, {"id": 2}],
571
+
"damping_factor": 0.85,
572
+
"max_iterations": 100
573
+
},
574
+
"response": {
575
+
"rankings": {"1": 0.15, "2": 0.25}
576
+
}
577
+
},
578
+
"POST /api/v1/algorithms/centrality": {
579
+
"description": "Calculate various centrality measures",
580
+
"request_body": {
581
+
"algorithm": "betweenness",
582
+
"nodes": [{"id": 1}, {"id": 2}]
583
+
},
584
+
"response": {
585
+
"centrality": {"1": 0.35, "2": 0.42}
586
+
}
587
+
},
588
+
"POST /api/v1/algorithms/communities": {
589
+
"description": "Detect communities in the graph",
590
+
"request_body": {
591
+
"algorithm": "louvain",
592
+
"resolution": 1.0
593
+
},
594
+
"response": {
595
+
"communities": [[1, 2, 3], [4, 5, 6]],
596
+
"modularity": 0.45
597
+
}
598
+
}
471
599
},
472
600
"stats": {
473
-
"GET /api/v1/stats": "Get graph statistics"
601
+
"GET /api/v1/stats": {
602
+
"description": "Get graph statistics",
603
+
"response": {
604
+
"node_count": 1000,
605
+
"relationship_count": 2500,
606
+
"relationship_types": ["KNOWS", "WORKS_FOR", "LIVES_IN"],
607
+
"labels": ["Person", "Company", "City"]
608
+
}
609
+
}
474
610
},
475
611
"docs": {
476
-
"GET /api/v1/docs": "This API documentation"
612
+
"GET /api/v1/docs": {
613
+
"description": "This API documentation",
614
+
"response": "JSON object with API specification"
615
+
}
616
+
}
617
+
},
618
+
"authentication": {
619
+
"type": "JWT Bearer Token",
620
+
"header": "Authorization: Bearer <token>",
621
+
"roles": {
622
+
"Admin": "Full access including user management",
623
+
"ReadWrite": "Can read and modify graph data",
624
+
"ReadOnly": "Can only read graph data"
477
625
}
626
+
},
627
+
"property_types": {
628
+
"string_value": "String data",
629
+
"int_value": "64-bit signed integer",
630
+
"float_value": "64-bit floating point number",
631
+
"bool_value": "Boolean true/false",
632
+
"bytes_value": "Binary data (base64 encoded in JSON)"
633
+
},
634
+
"examples": {
635
+
"create_social_network": [
636
+
{
637
+
"step": 1,
638
+
"description": "Create Alice",
639
+
"method": "POST",
640
+
"url": "/api/v1/nodes",
641
+
"body": {
642
+
"labels": ["Person"],
643
+
"properties": [
644
+
{"key": "name", "value": {"string_value": "Alice"}},
645
+
{"key": "age", "value": {"int_value": 25}}
646
+
]
647
+
}
648
+
},
649
+
{
650
+
"step": 2,
651
+
"description": "Create Bob",
652
+
"method": "POST",
653
+
"url": "/api/v1/nodes",
654
+
"body": {
655
+
"labels": ["Person"],
656
+
"properties": [
657
+
{"key": "name", "value": {"string_value": "Bob"}},
658
+
{"key": "age", "value": {"int_value": 30}}
659
+
]
660
+
}
661
+
},
662
+
{
663
+
"step": 3,
664
+
"description": "Create friendship",
665
+
"method": "POST",
666
+
"url": "/api/v1/relationships",
667
+
"body": {
668
+
"start_node": {"id": 1},
669
+
"end_node": {"id": 2},
670
+
"rel_type": "FRIENDS",
671
+
"properties": [
672
+
{"key": "since", "value": {"string_value": "2023-01-01"}}
673
+
]
674
+
}
675
+
},
676
+
{
677
+
"step": 4,
678
+
"description": "Find Alice's friends",
679
+
"method": "POST",
680
+
"url": "/api/v1/cypher",
681
+
"body": {
682
+
"query": "MATCH (alice:Person {name: 'Alice'})-[:FRIENDS]-(friend) RETURN friend.name"
683
+
}
684
+
}
685
+
]
686
+
},
687
+
"error_codes": {
688
+
"200": "Success",
689
+
"400": "Bad Request - Invalid request data",
690
+
"401": "Unauthorized - Authentication required",
691
+
"403": "Forbidden - Insufficient permissions",
692
+
"404": "Not Found - Resource not found",
693
+
"500": "Internal Server Error - Server error"
478
694
}
479
695
}))
480
696
}