# Aurora
A high-performance in-memory database with built-in role management for Rust applications.
## Notice
⚠️ **This crate is in early development.**
## Features
- **High Performance**: Optimized in-memory storage for blazing-fast read and write operations
- **Role-Based Access Control**: Built-in role management system for fine-grained permissions
- **Type Safety**: Leverages Rust's type system for compile-time guarantees
- **Zero-Copy Operations**: Minimizes memory overhead for maximum efficiency
- **Concurrent Access**: Thread-safe operations with minimal locking overhead
## Use Cases
- Caching layer with access control
- Session management with role-based permissions
- Real-time applications requiring fast data access
- Microservices needing lightweight, embedded databases
- Development and testing environments
## Getting Started
Add Aurora to your `Cargo.toml`:
```toml
[dependencies]
aurora = "*"
```
## Roadmap
- **Phase 1: Persistence Layer**
- [ ] **Snapshot Storage**: Periodic memory snapshots to disk
- [ ] **Write-Ahead Logging (WAL)**: Transaction log for crash recovery
- [ ] **Configurable Persistence**: Choose between speed and durability
- [ ] **Data Compression**: Efficient storage with compression algorithms
- [ ] **Incremental Backups**: Fast backup and restore capabilities
- **Phase 2: Advanced Query & Indexing**
- [ ] **Secondary Indexes**: Support for multiple index types (B-tree, hash, etc.)
- [ ] **Query Language**: SQL-like query interface for complex operations
- [ ] **Full-Text Search**: Built-in text search capabilities
- [ ] **Aggregation Functions**: COUNT, SUM, AVG, and custom aggregations
- [ ] **Query Optimization**: Query planning and execution optimization
- **Phase 3: Graph Database Integration**
- [ ] **Graph Data Model**: Native support for nodes and edges
- [ ] **Graph Traversal API**: Efficient path finding and pattern matching
- [ ] **Graph Algorithms**: PageRank, shortest path, community detection
- [ ] **Cypher-like Query Language**: Graph-specific query interface
- [ ] **Hybrid Storage**: Seamlessly combine relational and graph data
- **Phase 4: Data Warehouse Features**
- [ ] **Columnar Storage**: Column-oriented storage for analytical queries
- [ ] **OLAP Operations**: Support for cube, rollup, and drill-down operations
- [ ] **Data Partitioning**: Horizontal partitioning for large datasets
- [ ] **ETL Pipeline**: Built-in extract, transform, load capabilities
- [ ] **Time-Series Optimization**: Specialized storage for time-series data
- [ ] **Analytics Functions**: Window functions and statistical operations
- **Phase 5: Distributed & Scalability**
- [ ] **Replication**: Support replication
- [ ] **Sharding**: Automatic data distribution across nodes
- [ ] **Cluster Management**: Node discovery and health monitoring
- [ ] **Distributed Transactions**: ACID guarantees across nodes
- [ ] **Load Balancing**: Intelligent query routing
- **Phase 6: Integration**
- [ ] **Data streaming**: Real-time streaming data ingestion
- [ ] **Monitoring & Metrics**: Prometheus/Grafana integration
- [ ] **REST/GraphQL API**: HTTP-based access layer
- [ ] **TimeScale**: Time-travel queries and historical data analysis
## Examples
Aurora includes several examples to help you get started:
- **basic_usage** - Simple CRUD operations and role management
- **search_by_value** - Simple product catalog with search options
Run any example with:
```bash
cargo run --example basic_usage
```
## License
This project is licensed under the MIT License.