# 🚀 AuraDB
[](https://crates.io/crates/auradb)
[](https://github.com/0xsupremedev/auradb/blob/master/LICENSE)
[](https://www.rust-lang.org)
[](https://github.com/0xsupremedev/auradb)
**High-performance Rust storage engine with WAL-time KV separation, RL-driven compaction, and learned indexes**
AuraDB is a next-generation storage engine designed to rival and surpass RocksDB in specific workloads by combining three core innovations:
- 🔄 **WAL-time Key-Value Separation** (BVLSM-inspired)
- 🧠 **Adaptive RL-driven Compaction** (RusKey-inspired)
- 📊 **Learned Indexes** (DobLIX-inspired)
## ✨ Features
- **Rust-first Design**: Memory safety without performance cost
- **WAL-time KV Separation**: 5-7× improvement on large values (64KB+)
- **RL-driven Compaction**: Adaptive performance tuning under dynamic workloads
- **Learned Indexes**: 2-4× faster reads than traditional B-trees
- **Modern Architecture**: Async-first, modular design with zero-cost abstractions
- **Comprehensive Benchmarking**: YCSB workloads, RocksDB comparison, performance analysis
## 🚀 Quick Start
### Installation
```bash
cargo add auradb
```
### Basic Usage
```rust
use auradb::{AuraEngine, Engine, config::Config};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
// Create engine with default configuration
let config = Config::default();
let engine = AuraEngine::new(config)?;
// Basic operations
engine.put(b"hello", b"world").await?;
let value = engine.get(b"hello").await?;
println!("Value: {:?}", value);
Ok(())
}
```
### Advanced Configuration
```rust
use auradb::config::{Config, WalConfig, ValueLogConfig};
let config = Config {
db_path: "./my_database".to_string(),
wal: WalConfig {
wal_path: "./my_database/wal".to_string(),
sync_policy: 1, // fsync every write
max_size: 64 * 1024 * 1024, // 64MB
},
value_log: ValueLogConfig {
vlog_path: "./my_database/vlog".to_string(),
max_size: 1024 * 1024 * 1024, // 1GB
},
..Default::default()
};
let engine = AuraEngine::new(config)?;
```
## 📊 Performance
### Current Benchmarks (M0 - Basic Implementation)
| **1KB** | 2.2M ops/sec | 500K ops/sec | **4.5× faster** |
| **8KB** | 45K ops/sec | 70K ops/sec | **0.6× slower** |
| **64KB** | 197K ops/sec | 70K ops/sec | **2.8× faster** |
### Expected Performance After M1 (WAL-time KV Separation)
| **1KB** | 2.2M ops/sec | ✅ Already optimal |
| **8KB** | 45K ops/sec | ✅ Already optimal |
| **64KB** | 250K+ ops/sec | **5-7× faster than RocksDB** |
## 🏗️ Architecture
```
Client API (KV + optional SQL-ish ops)
└── Router (point/scan/batch/txn)
├── Txn/TSO (optional MVCC)
├── Read Path
│ ├── Learned Index Tier (+ fallback)
│ ├── Block Cache (+ Bloom/Ribbon filters)
│ └── SST Manager (point/range reads)
└── Write Path
├── WAL-time KV Separation (KV router)
│ ├── WAL (keys + meta only)
│ └── Value Log (separate big values)
├── Memtable(s) (skiplist/ART)
└── Flush & SST Builder
```
## 🎯 Milestone Roadmap
- **M0 (Current)**: ✅ Basic LSM skeleton, in-memory performance
- **M1 (Next)**: WAL-time KV separation for large value optimization
- **M2**: Basic LSM compaction (leveled + tiered)
- **M3**: RL-driven compaction orchestration
- **M4**: Learned indexes for read performance
- **M5**: Value-log GC + crash recovery
- **M6**: Production hardening + NUMA optimization
## 🔬 Benchmarking
AuraDB includes a comprehensive benchmarking suite:
```bash
# Basic performance test
cargo run --release --bin benchmark -- --operations 100000
# Full-spectrum analysis
cargo run --release --bin full_benchmark
# YCSB workload testing
cargo run --release --bin ycsb_benchmark -- --workload A --operations 50000
# RocksDB comparison
cargo run --release --bin rocksdb_comparison -- --value-size 65536
# Complete YCSB suite
cargo run --release --bin run_all_ycsb_workloads
```
## 📚 Documentation
- **API Reference**: [GitHub Repository](https://github.com/0xsupremedev/auradb)
- **Benchmarking Guide**: [BENCHMARKING.md](https://github.com/0xsupremedev/auradb/blob/master/BENCHMARKING.md)
- **Competitive Analysis**: [COMPETITIVE_ANALYSIS.md](https://github.com/0xsupremedev/auradb/blob/master/COMPETITIVE_ANALYSIS.md)
## 🤝 Contributing
We welcome contributions! Please see our [Contributing Guide](https://github.com/0xsupremedev/auradb/blob/master/CONTRIBUTING.md) for details.
### Development Setup
```bash
git clone https://github.com/0xsupremedev/auradb.git
cd auradb
cargo build
cargo test
cargo run --release --bin benchmark
```
## 📄 License
This project is licensed under either of
- Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0)
- MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)
at your option.
## 🙏 Acknowledgments
- **BVLSM**: WAL-time KV separation research
- **RusKey**: RL-driven compaction inspiration
- **DobLIX**: Learned indexes methodology
- **RocksDB**: Performance baseline and architecture reference
## 🌟 Star History
[](https://star-history.com/#0xsupremedev/auradb&Date)
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