ecad-processor 2.0.1

# V2.0.0 Baseline Performance Results

## Benchmark Results (ran on master branch)

Generated on: 2025-01-01  
Platform: Darwin 24.5.0 (Apple Silicon)  
Rust: 1.82+ (release profile with optimizations)

### Core Operations

| Benchmark | Time | Notes |
|-----------|------|-------|
| **data_merger_v2** | 43.2 µs | Data merging for 10 stations × 30 days |
| **integrity_checker_v2** | 2.39 µs | Integrity checking of consolidated records |
| **temperature_validation_v2** | 2.76 ns | Basic range validation (10 temps) |
| **coordinate_conversion_v2** | 217 ns | DMS to decimal conversion (5 coords) |

### Scalability Results

| Station Count | Processing Time | Scaling Factor |
|---------------|----------------|----------------|
| 10 stations | 43.1 µs | 1.0x |
| 50 stations | 213 µs | 4.9x |
| 100 stations | 427 µs | 9.9x |
| 500 stations | 2.15 ms | 49.9x |

**Scaling Analysis**: Near-linear scaling (O(n)) for data processing workloads.

### Key Observations

1. **Data Merger Performance**: 43.2 µs for 900 temperature records (10 stations × 30 days × 3 temp types)
   - Processing rate: ~21M records/second
   - Main bottleneck: HashMap operations and data grouping

2. **Integrity Checker Performance**: 2.39 µs for validation
   - Very fast due to simple range checks
   - Memory-bound operations

3. **Temperature Validation**: 2.76 ns per validation
   - Extremely fast scalar operations
   - Room for SIMD optimization

4. **Coordinate Conversion**: 217 ns per conversion
   - String parsing overhead
   - Potential for caching optimizations

### Baseline Summary

The V2 implementation provides solid performance with:
- **Linear scaling** with data size
- **Efficient data merging** at ~21M records/second  
- **Fast validation** operations
- **Simple, readable** codebase

These results establish the baseline for measuring V3 optimization improvements.