I haven't run my own benchmarks yet, as I am still fixing bugs and reviewing my decisions, but it works overall. The documentation was done via LLM, so I will be editing it poco a poco
A production-grade implementation of the Google File System (GFS) in Go
- Overview
- Features
- Quick Start
- Architecture
- Documentation
- Usage Examples
- Development
- Contributing
- License
Hercules is a distributed file system that faithfully implements the Google File System (GFS) design described in the seminal 2003 paper. Built entirely in Go, it provides a scalable, fault-tolerant storage solution for large-scale data with focus on high throughput and availability.
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- Production-Ready: Comprehensive implementation with RPC, HTTP gateway, and client SDK
- Fault Tolerant: Automatic replication, failure detection using Ο Accrual algorithm, and self-healing
- Scalable: Designed to handle petabytes of data across thousands of machines
- Well-Documented: Extensive documentation covering architecture, APIs, and deployment
- Docker-First: Full Docker Compose setup for easy deployment and development
β Core GFS Features
- 64MB chunk-based storage with configurable size
- Triple replication (configurable) for data redundancy
- Single master architecture for simplified coordination
- Lease-based mutation protocol for consistency
β Advanced Capabilities
- Ο Accrual Failure Detection: Probabilistic failure detection using network heartbeats
- HTTP Gateway: RESTful API for file operations
- Go Client SDK: Native Go client library
- Archive Manager: Snapshot and archival support
- Real-time Monitoring: System metrics and visualization
β Production Features
- Docker and Docker Compose deployment
- Persistent metadata and chunk storage
- Graceful shutdown and recovery
- Comprehensive logging and error handling
- Health checks and liveness probes
# Clone the repository
git clone https://github.com/caleberi/hercules-dfs.git
cd hercules-dfs
# Start all services (master, 3 chunkservers, gateway, redis)
docker-compose up -d
# Verify services are running
docker-compose ps
# View logs
docker-compose logs -fServices will be available at:
- Master Server:
localhost:9090 - Chunkserver 1:
localhost:8081 - Chunkserver 2:
localhost:8082 - Chunkserver 3:
localhost:8083 - Gateway API:
http://localhost:8089 - Redis:
localhost:6379
# Build all Docker images
make build-all
# Start services
make up
# Check status
make status
# View logs
make logs
# Stop services
make down# Install dependencies
go mod download
# Terminal 1: Start Master
go run main.go -ServerType master_server -serverAddr 127.0.0.1:9090 -rootDir ./data/master
# Terminal 2-4: Start Chunkservers
go run main.go -ServerType chunk_server -serverAddr 127.0.0.1:8081 -masterAddr 127.0.0.1:9090 -rootDir ./data/chunk1
go run main.go -ServerType chunk_server -serverAddr 127.0.0.1:8082 -masterAddr 127.0.0.1:9090 -rootDir ./data/chunk2
go run main.go -ServerType chunk_server -serverAddr 127.0.0.1:8083 -masterAddr 127.0.0.1:9090 -rootDir ./data/chunk3
# Terminal 5: Start Gateway
go run main.go -ServerType gateway_server -gatewayAddr 8089 -masterAddr 127.0.0.1:9090Hercules follows the GFS master-chunkserver architecture:
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β Clients β
β (Gateway) β
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β β Request metadata
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β Master Server βββββββββ
β (Metadata) β β Heartbeats
βββββββββββββββββββ β
β β‘ Return chunk β
β locations β
βΌ β
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β Chunkserver Network β
β ββββββββββ ββββββββββ βββββ€
β βChunk 1 β βChunk 2 β β...β
β ββββββββββ ββββββββββ βββββ
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β β’ Read/Write data
βΌ
[Client]
| Component | Description | Port |
|---|---|---|
| Master Server | Manages metadata, namespace, chunk placement | 9090 |
| Chunkservers | Store 64MB chunks, handle read/write | 8081-8083 |
| Gateway | HTTP API for file operations | 8089 |
| Failure Detector | Monitors server health (Ο Accrual) | - |
| Redis | Backend for failure detection data | 6379 |
For detailed architecture, see Architecture Documentation.
All documentation is in the docs/ directory:
Getting Started
Architecture
- System Overview - High-level design and principles
- Component Deep Dives (coming soon)
API Reference
- Master Server API - RPC methods for metadata operations
- Chunk Server API - RPC methods for data operations
- Gateway HTTP API - REST endpoints
Deployment
- Docker Deployment - Deploy with Docker Compose
- Local Development Setup (coming soon)
- Production Deployment (coming soon)
# Create a file
curl -X POST http://localhost:8089/api/v1/files \
-H "Content-Type: application/json" \
-d '{"path": "/myfile.txt"}'
# Upload a file
curl -X POST http://localhost:8089/api/v1/files/upload \
-F "file=@localfile.txt" \
-F "path=/remote/file.txt"
# Download a file
curl -X GET "http://localhost:8089/api/v1/files/download?path=/remote/file.txt" \
-o downloaded.txt
# List directory
curl -X GET "http://localhost:8089/api/v1/directories?path=/"
# Get system status
curl -X GET http://localhost:8089/api/v1/system/status | jqimport "github.com/caleberi/distributed-system/hercules"
// Create client
client := hercules.NewHerculesClient("127.0.0.1:9090")
// Create file
err := client.CreateFile("/myfile.txt")
// Write data
data := []byte("Hello, Hercules!")
err = client.Write("/myfile.txt", 0, data)
// Read data
readData, err := client.Read("/myfile.txt", 0, len(data))
// List directory
files, err := client.List("/")See API Documentation for complete reference.
- Go 1.18+
- Docker & Docker Compose (for containerized development)
- Redis (for failure detection)
- Make (optional, for build automation)
# Clone repository
git clone https://github.com/caleberi/hercules-dfs.git
cd hercules-dfs
# Install dependencies
go mod download
# Run tests
go test ./...
# Run with hot reload (using air or similar)
# See docs/guides/development.md for detailed setup# Unit tests
go test ./...
# With coverage
go test -cover ./...
# Integration tests
python dtest.py
# Benchmarks
go test -bench=. ./...hercules/
βββ main.go # Entry point
βββ master_server/ # Master server implementation
βββ chunkserver/ # Chunkserver implementation
βββ gateway/ # HTTP gateway
βββ hercules/ # Client SDK
βββ failure_detector/ # Failure detection (Ο Accrual)
βββ namespace_manager/ # Directory/file management
βββ common/ # Shared types and constants
βββ rpc_struct/ # RPC definitions
βββ docs/ # Documentation
βββ example/ # Example applications
See Development Guide for detailed information.
We welcome contributions! Here's how you can help:
- π Report Bugs: Open an issue with detailed reproduction steps
- π‘ Suggest Features: Share your ideas for improvements
- π Improve Documentation: Help make our docs even better
- π§ Submit Pull Requests: Fix bugs or implement new features
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Make your changes with clear commit messages
- Add tests for new functionality
- Ensure all tests pass (
go test ./...) - Submit a Pull Request
For detailed guidelines, see CONTRIBUTING.md.
Hercules is designed for high throughput:
- Write Throughput: ~500 MB/s per chunkserver
- Read Throughput: ~800 MB/s (direct from chunkserver)
- Concurrent Appends: Thousands per second
- Metadata Ops: ~10,000 ops/sec (master)
Benchmarks run on standard commodity hardware (4 cores, 8GB RAM, SSD)
Hercules is ideal for:
- Data Lakes: Store massive amounts of unstructured data
- Log Aggregation: Collect and store logs from distributed systems
- Media Storage: Store large media files with high availability
- Backup Systems: Reliable backup storage with replication
- Research: Study distributed file systems and fault tolerance
- Core GFS implementation (master, chunkservers, client)
- Docker deployment
- HTTP Gateway
- Ο Accrual failure detection
- Comprehensive documentation
- Multi-master support for high availability
- Encryption at rest and in transit
- Erasure coding for storage efficiency
- Kubernetes deployment manifests
- Web UI for administration
- S3-compatible API
Q: Is this production-ready?
A: Hercules is feature-complete and stable, but has not been battle-tested at Google scale. Use with appropriate testing for your use case.
Q: How does this compare to HDFS?
A: Similar design principles, but Hercules focuses on the original GFS design while HDFS has evolved with additional features.
Q: Can I use this for small files?
A: Yes, but 64MB chunks may waste space. Consider adjusting chunk size in configuration.
Q: What about POSIX compatibility?
A: Hercules does not aim for full POSIX compatibility, similar to GFS. It's optimized for append operations and large files.
- The Google File System (2003) - Original GFS paper
- Ο Accrual Failure Detection - Failure detection algorithm
- HDFS - Hadoop Distributed File System
- Ceph - Modern distributed storage
- MinIO - S3-compatible object storage
This project is licensed under the MIT License - see the LICENSE file for details.
This project is inspired by the groundbreaking work of:
The Google File System
Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung
ACM SIGOPS Operating Systems Review, 37(5), 2003
Special thanks to:
- All contributors to this project
- The Go community for excellent tools and libraries
- The distributed systems research community
- π§ Email: Create an issue on GitHub
- π¬ Discussions: GitHub Discussions
- π Bug Reports: GitHub Issues
- π Documentation: docs/
Built with β€οΈ using Go