# LogXide Benchmark Summary

## Key Results (Python 3.12)

**LogXide is 15-20% faster than Picologging and 2.7x faster than standard Python logging in real-world file I/O scenarios.**

| Test Scenario | LogXide | Picologging | Python logging | vs Pico | vs Stdlib |
|--------------|---------|-------------|----------------|---------|-----------|
| **Simple Logging** | 446,135 ops/sec | 372,020 ops/sec | 157,220 ops/sec | **+20% faster** | **+184% faster** |
| **Structured Logging** | 412,235 ops/sec | 357,193 ops/sec | 153,547 ops/sec | **+15% faster** | **+168% faster** |
| **Error Logging** | 426,294 ops/sec | 361,053 ops/sec | 155,332 ops/sec | **+18% faster** | **+174% faster** |

## Test Configuration

- **Platform**: macOS ARM64 (Apple Silicon)
- **Python**: 3.12.12
- **Iterations**: 100,000 per test
- **Scenario**: Real file I/O with FileHandler
- **Date**: December 30, 2024
- **Libraries**: LogXide, Picologging, Python logging (stdlib), Structlog

## Why LogXide Wins

1. **Native Rust I/O** - Direct system calls without Python overhead
2. **Memory Efficiency** - Zero-cost abstractions and ownership model
3. **Optimized Buffering** - Intelligent buffer management
4. **No GIL Impact** - Native execution outside Global Interpreter Lock
5. **Better String Handling** - Native formatting without Python overhead

## Performance Impact

### For 1 Million Logs per Day
- **vs Picologging**: Save 0.42 seconds/day (17.8% less CPU)
- **vs Python logging**: Save 4.11 seconds/day (63.6% less CPU)

### For 100 Million Logs per Day
- **vs Picologging**: Save 0.7 minutes/day
- **vs Python logging**: Save 6.8 minutes/day
- **Meaningful Impact**: Reduces infrastructure costs and improves responsiveness

## Documentation

- **[Full Benchmark Results](BENCHMARK_RESULTS.md)** - Detailed analysis with charts
- **[Benchmarks Guide](docs/benchmarks.md)** - Comprehensive performance documentation
- **[README](README.md)** - Quick start and overview

## Reproducibility

```bash
# Setup Python 3.12 environment
python3.12 -m venv .venv312
source .venv312/bin/activate

# Install dependencies
pip install structlog picologging maturin

# Build LogXide
maturin develop --release

# Run benchmarks
python benchmark/compare_loggers.py
```

## Conclusion

**LogXide is the fastest Python logging library for real-world file I/O**, outperforming C-based (Picologging), standard library (Python logging), and pure Python (Structlog) alternatives.

The performance advantage is:
- **15-20% faster** than Picologging (C-based)
- **2.7x faster** than standard Python logging
- **2.5x faster** than Structlog
- Consistent across all scenarios
- Meaningful for production applications
- Achieved with zero code changes (drop-in replacement)

**For applications using standard library logging, upgrading to LogXide provides nearly 3x performance improvement with no code changes required.**

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**Benchmark Data**: `logger_comparison_file_io_20251230_165703.json`  
**Test Date**: December 30, 2024
