CodeGraph CLI MCP Server

--- pdf-engine: lualatex mainfont: "DejaVu Serif" monofont: "DejaVu Sans Mono" header-includes: | \usepackage{fontspec} \directlua{ luaotfload.add_fallback("emojifallback", {"NotoColorEmoji:mode=harf;"}) } \setmainfont[ RawFeature={fallback=emojifallback} ]{DejaVu Serif} --- # CodeGraph Architecture Documentation ## Table of Contents 1. [System Overview](#system-overview) 2. [High-Level Architecture](#high-level-architecture) 3. [Component Architecture](#component-architecture) 4. [Data Flow Architecture](#data-flow-architecture) 5. [Storage Architecture](#storage-architecture) 6. [API Architecture](#api-architecture) 7. [Security Architecture](#security-architecture) 8. [Deployment Architecture](#deployment-architecture) 9. [Performance Architecture](#performance-architecture) 10. [Scalability Considerations](#scalability-considerations) ## System Overview CodeGraph is a sophisticated code analysis and embedding system designed for high-performance graph-based code understanding. The system transforms source code into intelligent, searchable knowledge graphs that enable advanced code analysis, similarity search, and relationship discovery. ### Core Capabilities - **Multi-language Code Parsing**: Support for Rust, Python, JavaScript, TypeScript, Go, Java, and C++ - **Graph-based Analysis**: Rich code relationships and dependency tracking - **Vector Embeddings**: Semantic code search using FAISS vector similarity - **Version Management**: Git-like versioning with transaction support - **Real-time Processing**: Streaming APIs for large-scale operations - **High Performance**: Optimized for concurrent operations with Rust's safety guarantees ### Design Principles 1. **Performance First**: Zero-cost abstractions and memory-efficient operations 2. **Concurrency Safe**: Thread-safe operations using Rust's ownership model 3. **Horizontally Scalable**: Stateless API design with distributed storage support 4. **Fault Tolerant**: Comprehensive error handling and recovery mechanisms 5. **Developer Friendly**: Clear APIs and extensive monitoring capabilities ## High-Level Architecture ```mermaid graph TB subgraph "Client Layer" CLI[CLI Tool] SDK[SDKs] WEB[Web Dashboard] API_CLIENT[API Clients] end subgraph "API Gateway Layer" LB[Load Balancer] GATEWAY[API Gateway] AUTH[Authentication] RATE[Rate Limiting] end subgraph "Application Layer" API[CodeGraph API Server] GRAPHQL[GraphQL Endpoint] REST[REST Endpoints] STREAM[Streaming Endpoints] WS[WebSocket Support] end subgraph "Business Logic Layer" PARSER[Code Parser] GRAPH[Graph Engine] VECTOR[Vector Engine] VERSION[Version Engine] SEARCH[Search Engine] end subgraph "Data Layer" ROCKSDB[RocksDB Storage] VECTOR_INDEX[Vector Index] CACHE[Cache Layer] BACKUP[Backup Storage] end subgraph "Infrastructure Layer" MONITORING[Monitoring] LOGGING[Logging] METRICS[Metrics] ALERTS[Alerting] end CLI --> LB SDK --> LB WEB --> LB API_CLIENT --> LB LB --> GATEWAY GATEWAY --> AUTH AUTH --> RATE RATE --> API API --> GRAPHQL API --> REST API --> STREAM API --> WS GRAPHQL --> PARSER REST --> PARSER STREAM --> PARSER PARSER --> GRAPH GRAPH --> VECTOR VECTOR --> VERSION VERSION --> SEARCH GRAPH --> ROCKSDB VECTOR --> VECTOR_INDEX SEARCH --> CACHE VERSION --> BACKUP API --> MONITORING MONITORING --> LOGGING LOGGING --> METRICS METRICS --> ALERTS ``` ### Architecture Layers #### 1. Client Layer - **CLI Tool**: Command-line interface for direct operations - **SDKs**: Language-specific client libraries (Rust, Python, JavaScript) - **Web Dashboard**: Browser-based management interface - **API Clients**: Third-party integrations and custom applications #### 2. API Gateway Layer - **Load Balancer**: Distributes incoming requests across instances - **API Gateway**: Central entry point with routing and protocol handling - **Authentication**: JWT and API key validation - **Rate Limiting**: Request throttling and abuse prevention #### 3. Application Layer - **CodeGraph API Server**: Core Axum-based HTTP server - **GraphQL Endpoint**: Flexible query interface with subscriptions - **REST Endpoints**: RESTful API for standard operations - **Streaming Endpoints**: High-throughput data streaming - **WebSocket Support**: Real-time bidirectional communication #### 4. Business Logic Layer - **Code Parser**: Tree-sitter based multi-language parsing - **Graph Engine**: Relationship management and graph operations - **Vector Engine**: Embedding generation and similarity search - **Version Engine**: Git-like versioning and transaction management - **Search Engine**: Full-text and semantic search capabilities #### 5. Data Layer - **RocksDB Storage**: Primary persistent storage for graph data - **Vector Index**: FAISS-based vector similarity index - **Cache Layer**: In-memory caching for performance optimization - **Backup Storage**: Automated backup and recovery systems #### 6. Infrastructure Layer - **Monitoring**: Health checks and system monitoring - **Logging**: Structured logging with tracing - **Metrics**: Prometheus-compatible metrics collection - **Alerting**: Automated alert generation and notification ## Component Architecture ### Workspace Structure ``` crates/ ├── codegraph-core/ # Core types and shared functionality ├── codegraph-graph/ # Graph data structures and RocksDB storage ├── codegraph-parser/ # Tree-sitter based code parsing ├── codegraph-vector/ # Vector embeddings and FAISS search ├── codegraph-cache/ # Caching and performance optimization ├── codegraph-api/ # REST API server using Axum ├── codegraph-mcp/ # Model Context Protocol support ├── codegraph-queue/ # Asynchronous task processing ├── codegraph-git/ # Git integration and version control ├── codegraph-concurrent/ # Concurrency primitives ├── codegraph-zerocopy/ # Zero-copy serialization └── codegraph-lb/ # Load balancing components ``` ### Component Dependencies ```mermaid graph TD CORE[codegraph-core] GRAPH[codegraph-graph] PARSER[codegraph-parser] VECTOR[codegraph-vector] CACHE[codegraph-cache] API[codegraph-api] MCP[codegraph-mcp] QUEUE[codegraph-queue] GIT[codegraph-git] CONCURRENT[codegraph-concurrent] ZEROCOPY[codegraph-zerocopy] LB[codegraph-lb] API --> CORE API --> GRAPH API --> PARSER API --> VECTOR API --> CACHE API --> MCP API --> QUEUE GRAPH --> CORE GRAPH --> CONCURRENT GRAPH --> ZEROCOPY PARSER --> CORE VECTOR --> CORE CACHE --> CORE MCP --> CORE QUEUE --> CORE GIT --> CORE LB --> CORE LB --> API ``` ### Core Component Details #### codegraph-core **Purpose**: Shared types, traits, and foundational functionality **Key Components**: - `NodeId`, `EdgeId`: Type-safe identifiers - `Error`: Unified error handling - `Result<T>`: Standard result type - `Config`: Configuration management - `Metrics`: Performance tracking **Traits**: ```rust pub trait NodeStorage { fn get_node(&self, id: NodeId) -> Result<Option<Node>>; fn insert_node(&mut self, node: Node) -> Result<NodeId>; fn update_node(&mut self, id: NodeId, node: Node) -> Result<()>; fn delete_node(&mut self, id: NodeId) -> Result<()>; } pub trait VectorStore { fn search(&self, vector: &[f32], k: usize) -> Result<Vec<SimilarityResult>>; fn insert(&mut self, id: NodeId, vector: Vec<f32>) -> Result<()>; fn delete(&mut self, id: NodeId) -> Result<()>; } ``` #### codegraph-graph **Purpose**: Graph data structures and RocksDB storage **Key Components**: - `GraphStorage`: Main graph storage implementation - `Node`: Code element representation - `Edge`: Relationship representation - `GraphQuery`: Query interface **Storage Architecture**: ```rust pub struct GraphStorage { db: Arc<RocksDB>, node_cache: Arc<DashMap<NodeId, Node>>, edge_cache: Arc<DashMap<EdgeId, Edge>>, config: StorageConfig, } // Column families for data organization const NODE_CF: &str = "nodes"; const EDGE_CF: &str = "edges"; const INDEX_CF: &str = "indexes"; const METADATA_CF: &str = "metadata"; ``` #### codegraph-vector **Purpose**: Vector embeddings and FAISS search **Key Components**: - `VectorIndex`: FAISS index wrapper - `EmbeddingGenerator`: Text-to-vector conversion - `SimilaritySearch`: Search interface - `IndexBuilder`: Index construction and optimization **Vector Architecture**: ```rust pub struct VectorIndex { index: faiss::Index, dimension: usize, metric: MetricType, config: IndexConfig, } pub enum IndexType { Flat, // Exact search IVF(u32), // Inverted file index HNSW { // Hierarchical NSW m: u32, ef_construction: u32, }, } ``` ## Data Flow Architecture ### Request Processing Flow ```mermaid sequenceDiagram participant Client participant Gateway participant API participant Parser participant Graph participant Vector participant Storage Client->>Gateway: HTTP Request Gateway->>Gateway: Authentication Gateway->>Gateway: Rate Limiting Gateway->>API: Validated Request API->>API: Request Validation API->>Parser: Parse Code (if needed) Parser->>Parser: Tree-sitter Parse Parser->>API: AST Nodes API->>Graph: Store/Query Nodes Graph->>Storage: RocksDB Operations Storage-->>Graph: Data Graph-->>API: Graph Results API->>Vector: Generate/Search Embeddings Vector->>Vector: FAISS Operations Vector-->>API: Vector Results API->>API: Aggregate Results API-->>Gateway: Response Gateway-->>Client: HTTP Response ``` ### Code Parsing Flow ```mermaid graph TD INPUT[Source Code Input] DETECT[Language Detection] TOKENIZE[Tokenization] PARSE[Tree-sitter Parsing] AST[Abstract Syntax Tree] EXTRACT[Node Extraction] RELATIONSHIP[Relationship Analysis] EMBED[Embedding Generation] STORE[Storage] INPUT --> DETECT DETECT --> TOKENIZE TOKENIZE --> PARSE PARSE --> AST AST --> EXTRACT EXTRACT --> RELATIONSHIP RELATIONSHIP --> EMBED EMBED --> STORE EXTRACT --> FUNCTIONS[Functions] EXTRACT --> CLASSES[Classes] EXTRACT --> VARIABLES[Variables] EXTRACT --> IMPORTS[Imports] RELATIONSHIP --> CALLS[Function Calls] RELATIONSHIP --> INHERITANCE[Inheritance] RELATIONSHIP --> DEPENDENCIES[Dependencies] RELATIONSHIP --> REFERENCES[References] ``` ### Vector Search Flow ```mermaid graph TD QUERY[Search Query] EMBED_QUERY[Query Embedding] INDEX_SEARCH[FAISS Index Search] CANDIDATE_FILTER[Candidate Filtering] GRAPH_LOOKUP[Graph Data Lookup] RESULT_RANKING[Result Ranking] RESPONSE[Search Response] QUERY --> EMBED_QUERY EMBED_QUERY --> INDEX_SEARCH INDEX_SEARCH --> CANDIDATE_FILTER CANDIDATE_FILTER --> GRAPH_LOOKUP GRAPH_LOOKUP --> RESULT_RANKING RESULT_RANKING --> RESPONSE INDEX_SEARCH --> SIMILARITY[Similarity Scores] CANDIDATE_FILTER --> THRESHOLD[Threshold Filtering] CANDIDATE_FILTER --> METADATA[Metadata Filtering] RESULT_RANKING --> HYBRID[Hybrid Scoring] ``` ## Storage Architecture ### RocksDB Organization ```mermaid graph TD subgraph "RocksDB Instance" subgraph "Column Families" NODE_CF[nodes] EDGE_CF[edges] INDEX_CF[indexes] META_CF[metadata] VERSION_CF[versions] end subgraph "Storage Layout" L0[Level 0 - Recent Writes] L1[Level 1 - First Compaction] L2[Level 2 - Medium Term] L3[Level 3 - Long Term] L4[Level 4 - Cold Storage] end subgraph "Components" MEMTABLE[MemTable] IMMUTABLE[Immutable MemTable] SST[SST Files] WAL[Write Ahead Log] end end MEMTABLE --> IMMUTABLE IMMUTABLE --> L0 L0 --> L1 L1 --> L2 L2 --> L3 L3 --> L4 NODE_CF --> SST EDGE_CF --> SST INDEX_CF --> SST META_CF --> SST VERSION_CF --> SST ``` ### Data Partitioning Strategy **Horizontal Partitioning**: ``` nodes/ ├── {shard_id}/ │ ├── functions/ │ ├── classes/ │ ├── variables/ │ └── modules/ ``` **Key Encoding Scheme**: ```rust // Node keys: {shard_id}:{node_type}:{node_id} // Edge keys: {shard_id}:edge:{source_id}:{target_id} // Index keys: {shard_id}:idx:{index_type}:{key} pub fn encode_node_key(shard_id: u32, node_type: NodeType, node_id: NodeId) -> Vec<u8> { let mut key = Vec::new(); key.extend_from_slice(&shard_id.to_be_bytes()); key.push(b':'); key.extend_from_slice(node_type.as_bytes()); key.push(b':'); key.extend_from_slice(node_id.as_bytes()); key } ``` ### Cache Architecture ```mermaid graph TD subgraph "Multi-Level Cache" L1[L1 - Hot Data Cache] L2[L2 - Node Cache] L3[L3 - Query Result Cache] BLOCK[Block Cache] OS[OS Page Cache] end subgraph "Cache Policies" LRU[LRU Eviction] TTL[TTL Expiration] SIZE[Size Limits] end subgraph "Cache Warming" PRELOAD[Preload Popular] PREDICT[Predictive Loading] BACKGROUND[Background Refresh] end L1 --> L2 L2 --> L3 L3 --> BLOCK BLOCK --> OS L1 --> LRU L2 --> TTL L3 --> SIZE L1 --> PRELOAD L2 --> PREDICT L3 --> BACKGROUND ``` ### Backup and Recovery Architecture ```mermaid graph TD subgraph "Backup Types" FULL[Full Backup] INCREMENTAL[Incremental Backup] CONTINUOUS[Continuous Backup] end subgraph "Backup Storage" LOCAL[Local Storage] S3[S3 Compatible] DISTRIBUTED[Distributed Storage] end subgraph "Recovery Points" SNAPSHOT[Snapshots] WAL_REPLAY[WAL Replay] POINT_IN_TIME[Point-in-Time] end FULL --> LOCAL INCREMENTAL --> S3 CONTINUOUS --> DISTRIBUTED SNAPSHOT --> FULL WAL_REPLAY --> INCREMENTAL POINT_IN_TIME --> CONTINUOUS ``` ## API Architecture ### REST API Design ```mermaid graph TD subgraph "REST Endpoints" HEALTH[/health] NODES[/nodes] SEARCH[/search] PARSE[/parse] VECTOR[/vector] STREAM[/stream] VERSION[/versions] end subgraph "HTTP Methods" GET[GET - Retrieve] POST[POST - Create] PUT[PUT - Update] DELETE[DELETE - Remove] PATCH[PATCH - Partial Update] end subgraph "Content Types" JSON[application/json] NDJSON[application/x-ndjson] SSE[text/event-stream] BINARY[application/octet-stream] end NODES --> GET NODES --> POST NODES --> PUT NODES --> DELETE SEARCH --> GET PARSE --> POST VECTOR --> POST STREAM --> GET GET --> JSON POST --> JSON STREAM --> NDJSON STREAM --> SSE ``` ### GraphQL Schema Architecture ```graphql # Core Types type Node { id: ID! nodeType: NodeType! name: String! filePath: String! lineNumber: Int! metadata: JSON relationships: [Relationship!]! embeddings: [Float!] } type Relationship { id: ID! type: RelationshipType! source: Node! target: Node! metadata: JSON } # Query Interface type Query { # Node operations node(id: ID!): Node nodes(filter: NodeFilter, pagination: Pagination): NodeConnection! # Search operations search(query: String!, options: SearchOptions): SearchResult! similarNodes(nodeId: ID!, threshold: Float): [SimilarityMatch!]! # Graph traversal dependencies(nodeId: ID!, depth: Int): [Node!]! dependents(nodeId: ID!, depth: Int): [Node!]! } # Mutation Interface type Mutation { # Node management createNode(input: CreateNodeInput!): Node! updateNode(id: ID!, input: UpdateNodeInput!): Node! deleteNode(id: ID!): Boolean! # Parsing operations parseFile(input: ParseFileInput!): ParseResult! parseProject(input: ParseProjectInput!): ParseResult! # Index management rebuildIndex(type: IndexType!): IndexRebuildResult! } # Real-time updates type Subscription { nodeCreated: Node! nodeUpdated: NodeUpdateEvent! nodeDeleted: NodeDeleteEvent! parseProgress(taskId: ID!): ParseProgressEvent! } ``` ### WebSocket Architecture ```mermaid sequenceDiagram participant Client participant WSHandler participant EventBus participant GraphEngine participant VectorEngine Client->>WSHandler: WebSocket Connect WSHandler->>WSHandler: Authentication WSHandler->>EventBus: Subscribe to Events Client->>WSHandler: GraphQL Subscription WSHandler->>GraphEngine: Register Query GraphEngine->>EventBus: Emit Node Created EventBus->>WSHandler: Forward Event WSHandler->>Client: Real-time Update Client->>WSHandler: Vector Search Stream WSHandler->>VectorEngine: Stream Search VectorEngine->>WSHandler: Result Batch WSHandler->>Client: Streaming Results ``` ## Security Architecture ### Authentication and Authorization ```mermaid graph TD subgraph "Authentication Methods" API_KEY[API Key] JWT[JWT Tokens] OAUTH[OAuth 2.0] MUTUAL_TLS[Mutual TLS] end subgraph "Authorization Layers" RBAC[Role-Based Access Control] ABAC[Attribute-Based Access Control] RESOURCE[Resource Permissions] OPERATION[Operation Permissions] end subgraph "Security Middleware" AUTH_MW[Authentication Middleware] RATE_MW[Rate Limiting Middleware] AUDIT_MW[Audit Logging Middleware] CORS_MW[CORS Middleware] end API_KEY --> AUTH_MW JWT --> AUTH_MW OAUTH --> AUTH_MW MUTUAL_TLS --> AUTH_MW AUTH_MW --> RBAC RBAC --> ABAC ABAC --> RESOURCE RESOURCE --> OPERATION AUTH_MW --> RATE_MW RATE_MW --> AUDIT_MW AUDIT_MW --> CORS_MW ``` ### Data Protection ```mermaid graph TD subgraph "Encryption at Rest" DB_ENCRYPT[Database Encryption] FILE_ENCRYPT[File System Encryption] BACKUP_ENCRYPT[Backup Encryption] end subgraph "Encryption in Transit" TLS[TLS 1.3] MUTUAL_TLS[Mutual TLS] VPN[VPN Tunnels] end subgraph "Key Management" HSM[Hardware Security Module] VAULT[Key Vault] ROTATION[Key Rotation] end subgraph "Data Classification" PUBLIC[Public Data] INTERNAL[Internal Data] CONFIDENTIAL[Confidential Data] RESTRICTED[Restricted Data] end DB_ENCRYPT --> HSM FILE_ENCRYPT --> VAULT BACKUP_ENCRYPT --> ROTATION TLS --> VAULT MUTUAL_TLS --> HSM VPN --> ROTATION ``` ### Network Security ```mermaid graph TD subgraph "Network Layers" WAF[Web Application Firewall] LOAD_BALANCER[Load Balancer] API_GATEWAY[API Gateway] APPLICATION[Application Server] end subgraph "Security Controls" DDOS[DDoS Protection] IP_FILTER[IP Filtering] GEO_BLOCK[Geo Blocking] RATE_LIMIT[Rate Limiting] end subgraph "Monitoring" IDS[Intrusion Detection] SIEM[SIEM Integration] ANOMALY[Anomaly Detection] THREAT[Threat Intelligence] end WAF --> DDOS WAF --> IP_FILTER LOAD_BALANCER --> GEO_BLOCK API_GATEWAY --> RATE_LIMIT WAF --> IDS LOAD_BALANCER --> SIEM API_GATEWAY --> ANOMALY APPLICATION --> THREAT ``` ## Deployment Architecture ### Container Architecture ```mermaid graph TD subgraph "Container Layer" APP_CONTAINER[Application Container] SIDECAR[Sidecar Containers] INIT[Init Containers] end subgraph "Application Container" API_SERVER[API Server] CONFIG[Configuration] HEALTH[Health Checks] end subgraph "Sidecar Containers" PROXY[Service Proxy] MONITOR[Monitoring Agent] LOG_AGENT[Log Forwarder] SECURITY[Security Scanner] end subgraph "Init Containers" DB_MIGRATE[DB Migration] CONFIG_INIT[Config Initialization] CERT_FETCH[Certificate Fetcher] end APP_CONTAINER --> API_SERVER APP_CONTAINER --> CONFIG APP_CONTAINER --> HEALTH SIDECAR --> PROXY SIDECAR --> MONITOR SIDECAR --> LOG_AGENT SIDECAR --> SECURITY INIT --> DB_MIGRATE INIT --> CONFIG_INIT INIT --> CERT_FETCH ``` ### Kubernetes Deployment ```yaml # Deployment configuration apiVersion: apps/v1 kind: Deployment metadata: name: codegraph-api spec: replicas: 3 selector: matchLabels: app: codegraph-api template: metadata: labels: app: codegraph-api spec: containers: - name: api-server image: codegraph/api:latest ports: - containerPort: 8080 - containerPort: 9090 env: - name: RUST_LOG value: "info" resources: requests: memory: "2Gi" cpu: "1000m" limits: memory: "4Gi" cpu: "2000m" livenessProbe: httpGet: path: /health/live port: 8080 initialDelaySeconds: 30 periodSeconds: 10 readinessProbe: httpGet: path: /health/ready port: 8080 initialDelaySeconds: 5 periodSeconds: 5 volumeMounts: - name: data-volume mountPath: /opt/codegraph/data - name: config-volume mountPath: /opt/codegraph/config volumes: - name: data-volume persistentVolumeClaim: claimName: codegraph-data - name: config-volume configMap: name: codegraph-config ``` ### High Availability Setup ```mermaid graph TD subgraph "Load Balancer Tier" LB1[Load Balancer 1] LB2[Load Balancer 2] VIP[Virtual IP] end subgraph "Application Tier" APP1[API Server 1] APP2[API Server 2] APP3[API Server 3] end subgraph "Data Tier" DB_PRIMARY[Primary RocksDB] DB_REPLICA1[Replica 1] DB_REPLICA2[Replica 2] end subgraph "Storage Tier" STORAGE1[Storage Node 1] STORAGE2[Storage Node 2] STORAGE3[Storage Node 3] end VIP --> LB1 VIP --> LB2 LB1 --> APP1 LB1 --> APP2 LB2 --> APP2 LB2 --> APP3 APP1 --> DB_PRIMARY APP2 --> DB_PRIMARY APP3 --> DB_PRIMARY DB_PRIMARY --> DB_REPLICA1 DB_PRIMARY --> DB_REPLICA2 DB_PRIMARY --> STORAGE1 DB_REPLICA1 --> STORAGE2 DB_REPLICA2 --> STORAGE3 ``` ## Performance Architecture ### Performance Optimization Strategies ```mermaid graph TD subgraph "Application Level" ASYNC[Async Processing] BATCH[Batch Operations] PIPELINE[Request Pipelining] CACHE[Smart Caching] end subgraph "Database Level" COMPACTION[Compaction Tuning] BLOOM[Bloom Filters] COMPRESSION[Compression] SHARDING[Data Sharding] end subgraph "Vector Level" INDEX_OPT[Index Optimization] QUANTIZATION[Vector Quantization] PRUNING[Index Pruning] PARALLEL[Parallel Search] end subgraph "Network Level" HTTP2[HTTP/2 Push] COMPRESSION_NET[Response Compression] CDN[CDN Caching] KEEPALIVE[Connection Pooling] end ASYNC --> COMPACTION BATCH --> BLOOM PIPELINE --> COMPRESSION CACHE --> SHARDING INDEX_OPT --> HTTP2 QUANTIZATION --> COMPRESSION_NET PRUNING --> CDN PARALLEL --> KEEPALIVE ``` ### Performance Monitoring ```mermaid graph TD subgraph "Application Metrics" REQUEST_RATE[Request Rate] RESPONSE_TIME[Response Time] ERROR_RATE[Error Rate] THROUGHPUT[Throughput] end subgraph "System Metrics" CPU_USAGE[CPU Usage] MEMORY_USAGE[Memory Usage] DISK_IO[Disk I/O] NETWORK_IO[Network I/O] end subgraph "Database Metrics" COMPACTION_STATS[Compaction Stats] CACHE_HIT_RATE[Cache Hit Rate] WRITE_AMPLIFICATION[Write Amplification] READ_AMPLIFICATION[Read Amplification] end subgraph "Vector Metrics" SEARCH_LATENCY[Search Latency] INDEX_SIZE[Index Size] RECALL_ACCURACY[Recall Accuracy] BUILD_TIME[Build Time] end REQUEST_RATE --> CPU_USAGE RESPONSE_TIME --> MEMORY_USAGE ERROR_RATE --> DISK_IO THROUGHPUT --> NETWORK_IO CPU_USAGE --> COMPACTION_STATS MEMORY_USAGE --> CACHE_HIT_RATE DISK_IO --> WRITE_AMPLIFICATION NETWORK_IO --> READ_AMPLIFICATION COMPACTION_STATS --> SEARCH_LATENCY CACHE_HIT_RATE --> INDEX_SIZE WRITE_AMPLIFICATION --> RECALL_ACCURACY READ_AMPLIFICATION --> BUILD_TIME ``` ## Scalability Considerations ### Horizontal Scaling Strategy ```mermaid graph TD subgraph "Scaling Dimensions" COMPUTE[Compute Scaling] STORAGE[Storage Scaling] NETWORK[Network Scaling] MEMORY[Memory Scaling] end subgraph "Scaling Patterns" STATELESS[Stateless Services] SHARDING[Data Sharding] REPLICATION[Read Replicas] PARTITIONING[Functional Partitioning] end subgraph "Auto-scaling Triggers" CPU_THRESHOLD[CPU > 70%] MEMORY_THRESHOLD[Memory > 80%] QUEUE_DEPTH[Queue Depth > 100] RESPONSE_TIME[Response Time > 2s] end COMPUTE --> STATELESS STORAGE --> SHARDING NETWORK --> REPLICATION MEMORY --> PARTITIONING STATELESS --> CPU_THRESHOLD SHARDING --> MEMORY_THRESHOLD REPLICATION --> QUEUE_DEPTH PARTITIONING --> RESPONSE_TIME ``` ### Data Partitioning Strategy ```mermaid graph TD subgraph "Partitioning Methods" HASH[Hash Partitioning] RANGE[Range Partitioning] DIRECTORY[Directory Partitioning] HYBRID[Hybrid Partitioning] end subgraph "Partition Keys" PROJECT_ID[Project ID] FILE_PATH[File Path] NODE_TYPE[Node Type] TIMESTAMP[Timestamp] end subgraph "Rebalancing" CONSISTENT_HASH[Consistent Hashing] VIRTUAL_NODES[Virtual Nodes] MIGRATION[Live Migration] HOTSPOT[Hotspot Detection] end HASH --> PROJECT_ID RANGE --> FILE_PATH DIRECTORY --> NODE_TYPE HYBRID --> TIMESTAMP PROJECT_ID --> CONSISTENT_HASH FILE_PATH --> VIRTUAL_NODES NODE_TYPE --> MIGRATION TIMESTAMP --> HOTSPOT ``` ### Capacity Planning **Growth Projections**: - **Data Growth**: 50% annually - **Query Growth**: 100% annually - **User Growth**: 200% annually **Resource Requirements**: ``` Current Baseline (1M nodes): - Storage: 100GB RocksDB + 50GB Vector Index - Memory: 16GB (8GB cache + 8GB application) - CPU: 8 cores (4 for API + 4 for background tasks) - Network: 1Gbps Projected 12 months (10M nodes): - Storage: 1TB RocksDB + 500GB Vector Index - Memory: 64GB (32GB cache + 32GB application) - CPU: 32 cores (16 for API + 16 for background tasks) - Network: 10Gbps ``` **Scaling Checkpoints**: - **1M nodes**: Single instance sufficient - **10M nodes**: Require read replicas and caching - **100M nodes**: Require sharding and distributed architecture - **1B nodes**: Require specialized distributed vector databases This architecture documentation provides a comprehensive foundation for understanding, deploying, and maintaining the CodeGraph system in production environments. For operational procedures, refer to the [Operations Runbook](OPERATIONS_RUNBOOK.md) and [Troubleshooting Guide](TROUBLESHOOTING_GUIDE.md).