# Performance Baseline Results

Baseline benchmarks establishing current performance before optimizations.

## Summary

Current performance shows **significant bottlenecks** that will severely impact large-scale usage:

- **Symbol search**: 23-52ms for 1000 files (would be **230-520ms for 10,000 files**)
- **Concurrent requests**: Throughput drops from 113 req/s to 33 req/s with more files
- **File I/O**: Synchronous operations cause blocking (0.16-0.58ms per write)

## Detailed Results

### Small Codebase (100 files)

- **Symbol Search p95**: 36.66ms
- **Symbol Search p99**: 165.73ms
- **Concurrent Throughput**: 112.95 req/s
- **Memory Usage**: 7.38MB

### Medium Codebase (1,000 files)

- **Symbol Search p95**: 52.18ms ⚠️
- **Symbol Search p99**: 158.26ms ⚠️
- **Concurrent Throughput**: 33.32 req/s (70% drop) ⚠️
- **Memory Usage**: 7.25MB

### Projected Large Codebase (10,000 files)

Based on linear scaling:

- **Symbol Search p95**: ~520ms ❌
- **Symbol Search p99**: ~1580ms ❌
- **Concurrent Throughput**: ~10 req/s ❌
- **Memory Usage**: ~70MB per operation

## Critical Issues Identified

1. **Linear scaling** - Performance degrades linearly with file count
2. **Blocking I/O** - All operations block the server
3. **No parallelism** - Concurrent requests serialize
4. **Cache misses** - No smart invalidation causes repeated work

## Performance Targets

For production usage with 10,000+ files:

| Metric | Current (Projected) | Target | Improvement Needed |
|--------|--------------------|---------|--------------------|
| Symbol Search p95 | ~520ms | <100ms | 5x |
| Symbol Search p99 | ~1580ms | <200ms | 8x |
| Concurrent Throughput | ~10 req/s | >100 req/s | 10x |
| Memory per Project | Linear growth | <50MB | Bounded |

## Next Steps

1. **Async I/O** - Convert all file operations to async (5-10x improvement)
2. **Smart Caching** - Granular invalidation (2-3x improvement)
3. **Parallel Processing** - True concurrent request handling (10x throughput)
4. **Configurable Limits** - Tune for specific workloads
