oxirs-stream 0.2.2

Real-time streaming support with Kafka/NATS/MQTT/OPC-UA I/O, RDF Patch, and SPARQL Update delta
Documentation
# OxiRS Stream - TODO

*Version: 0.2.2 | Last Updated: 2026-03-16*

## Current Status

OxiRS Stream v0.2.2 is production-ready, providing enterprise-grade real-time RDF streaming with advanced windowing, backpressure management, and ML integration.

### Production Features
- **Multiple Backends** - Kafka, NATS, Redis, Kinesis, Pulsar, RabbitMQ support
-**Advanced Operators** - 20+ stream operators (filter, map, aggregate, join, window)
-**ML Integration** - Online learning, anomaly detection, AutoML, reinforcement learning
-**Advanced Sampling** - Reservoir, stratified, HyperLogLog, Count-Min Sketch, T-Digest, Bloom filters
-**Stream Fusion** - Automatic optimization and operator fusion
-**Adaptive Load Shedding** - Dynamic backpressure management
-**Complex Event Processing** - Pattern detection and event correlation
-**Data Quality Framework** - Validation, profiling, anomaly detection
-**Developer Tools** - Visual designer, code generation, Jupyter integration
-**Production Hardening** - Security, monitoring, disaster recovery, multi-tenancy
-**Quantum & Edge Computing** - Quantum optimization, WASM edge deployment
-**1505 tests passing** with zero warnings

### Key Performance Metrics
- Throughput: 100K+ events/sec
- Memory-efficient analytics for billion-event streams
- SIMD-optimized operations
- Zero-copy processing

## Recent Accomplishments (v0.2.2)

### Streaming Enhancements
- **Advanced Windowing Strategies** - Session windows, tumbling windows, and sliding windows implementation
-**Improved Backpressure Handling** - Adaptive load shedding with dynamic threshold adjustment
-**Window Aggregation** - Efficient aggregation operators for windowed streams

### Performance
- **Stream Optimization** - Enhanced operator fusion and parallel processing
-**Memory Management** - Improved buffer management for high-throughput scenarios
-**Zero-copy Processing** - Reduced memory allocations in hot paths

### Monitoring
- **Enhanced Observability** - Comprehensive metrics for stream processing
-**Backpressure Metrics** - Real-time monitoring of queue depths and load shedding
-**Window Performance Tracking** - Metrics for window processing latency

## Roadmap

### v0.1.0 - Released (January 7, 2026)
- ✅ Kafka/NATS/Redis/Kinesis/Pulsar/RabbitMQ backends, 20+ operators, ML integration

### v0.2.2 - Current Release (March 16, 2026)
- ✅ Advanced windowing (session, tumbling, sliding windows)
- ✅ Backpressure and adaptive load shedding
- ✅ Stream optimization (operator fusion, parallel processing)
- ✅ Consumer group, continuous query, event filter, event correlator
- ✅ Replay buffer, stream router, dead letter queue
- ✅ 1505 tests passing

### v0.3.0 - Planned (Q2 2026)
- [ ] Enhanced state management with distributed consistency
- [ ] Extended ML model support
- [ ] Distributed stream processing across clusters
- [ ] Advanced fault tolerance mechanisms
- [ ] Performance optimization for large-scale deployments

### v1.0.0 - LTS Release (Q2 2026)
- [ ] Long-term support guarantees
- [ ] Enterprise features and integrations
- [ ] Complete stream processing framework
- [ ] Production SLAs

## Contributing

See [CONTRIBUTING.md](../../CONTRIBUTING.md) for development guidelines.

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*OxiRS Stream v0.2.2 - Enterprise-grade real-time RDF streaming with advanced windowing*