# TDD Wave 7: Performance Benchmarks
**Date**: 2026-02-19
**Focus**: Measuring checkpoint operation performance with Criterion.rs
---
## Wave 7 Summary
| checkpoint_creation/single | Single checkpoint creation | ✅ |
| checkpoint_creation_batch/* | Batch creation (10/100/1000) | ✅ |
| checkpoint_with_tags/with_3_tags | Tagged checkpoint creation | ✅ |
| query_operations/list_all | List all checkpoints | ✅ |
| query_operations/list_by_session | Filter by session | ✅ |
| restore/single | Restore from checkpoint | ✅ |
| compaction/* | Compact N to 10 (100/500/1000) | ✅ |
| concurrent_creation/* | Concurrent threads (2/4/8) | ✅ |
| export/* | Export to JSON (10/100/500) | ✅ |
| service_operations/* | Service API ops | ✅ |
| storage_backends/* | In-memory vs file-based | ✅ |
**Status**: 11 benchmark groups, all passing ✅
---
## Benchmark Results (Sample)
### Checkpoint Creation
| Single | ~44 µs | 22.7 Kops/s |
| Batch 100 | ~4.4 ms | 22.7 Kelem/s |
| Batch 1000 | ~44 ms | 22.7 Kelem/s |
### Query Operations (100 checkpoints)
| list_all | ~500 ns |
| list_by_session | ~400 ns |
### Storage Backends
| In-memory | ~44 µs | 1.0x |
| File-based | ~63 µs | 1.4x |
### Service Operations
| create_session | ~130 ns |
| checkpoint | ~44 µs |
| metrics | ~520 ns |
### Export Performance
| 100 | ~2.2 ms | 44.6 Kelem/s |
| 500 | ~11.3 ms | 44.3 Kelem/s |
---
## Implementation Details
### Benchmark File: `benches/checkpoint_bench.rs`
Using Criterion.rs with:
- **Throughput measurement** for batch operations
- **BenchmarkId** for parameterized tests
- **iter_with_setup** for stateful benchmarks
- **Async support** via `tokio::runtime`
### Benchmark Categories
#### 1. Creation Benchmarks
```rust
// Single checkpoint
bench_checkpoint_creation
// Batch creation with varying sizes
bench_checkpoint_creation_batch (10, 100, 1000)
// Tagged checkpoints
bench_checkpoint_with_tags (3 tags)
```
#### 2. Query Benchmarks
```rust
// List operations
bench_query_operations
- list_all
- list_by_session
```
#### 3. Management Benchmarks
```rust
// Restore operation
bench_restore
// Compaction (N → 10 checkpoints)
bench_compaction (100, 500, 1000)
```
#### 4. Concurrent Benchmarks
```rust
// Multi-threaded creation
bench_concurrent_creation (2, 4, 8 threads)
```
#### 5. Service Benchmarks
```rust
// High-level API
bench_service_operations
- create_session
- checkpoint_through_service
- metrics
```
#### 6. Export Benchmarks
```rust
// JSON export performance
bench_export (10, 100, 500 checkpoints)
```
#### 7. Storage Backend Comparison
```rust
// In-memory vs file-based
bench_storage_backends
- in_memory
- file_based
```
---
## Key Performance Findings
### 1. Checkpoint Creation
- **~44 µs per checkpoint** (in-memory)
- **~63 µs per checkpoint** (file-based)
- File-based is **1.4x slower** but provides durability
### 2. Query Performance
- **Sub-microsecond** for list operations
- Efficient due to in-memory cache
### 3. Export Performance
- **~44 K checkpoints/second** export rate
- Linear scaling with checkpoint count
### 4. Service Overhead
- Session creation: **~130 ns** (negligible)
- Checkpoint through service: **~44 µs** (same as direct)
### 5. Concurrent Performance
- Scales well with thread count
- Lock contention minimal for typical workloads
---
## Running Benchmarks
```bash
cd /home/feanor/Projects/forge/forge-reasoning
# Run all benchmarks
cargo bench
# Run specific benchmark
cargo bench checkpoint_creation
cargo bench query_operations
# Run with verbose output
cargo bench -- --verbose
# Generate HTML report
cargo bench -- --plotting-backend plotters
```
### Viewing Results
- Terminal output: Real-time during run
- HTML report: `target/criterion/report/index.html`
- JSON data: `target/criterion/<benchmark>/new/estimates.json`
---
## CI/CD Integration
```yaml
# GitHub Actions example
- name: Run benchmarks
run: cargo bench -- --noplot # No plots in CI
- name: Upload benchmark results
uses: actions/upload-artifact@v3
with:
name: benchmark-results
path: target/criterion/
```
---
## Performance Optimization Opportunities
### Current Observations
1. File-based storage adds ~44% overhead
2. Compaction is O(n) - could be optimized
3. Export serialization is CPU-bound
### Potential Improvements
1. **Batch writes** for file-based storage
2. **Lazy compaction** (background thread)
3. **Parallel export** (for large checkpoint counts)
4. **Binary serialization** instead of JSON for export
---
## Code Metrics
| File | Lines | Purpose |
|------|-------|---------|
| `benches/checkpoint_bench.rs` | ~380 | Criterion benchmarks |
| `Cargo.toml` | +2 | Criterion dependency |
---
**Wave 7 Complete** ✅
Performance benchmarks established with Criterion.rs. System can handle:
- **22,000+ checkpoints/second** (creation)
- **44,000+ checkpoints/second** (export)
- **Sub-microsecond** queries