# Phase 1 Multi-Dimension Benchmark Results

## Status: 🔴 BENCHMARKS INVALID - Critical Environment Issue

**The benchmarks are NOT measuring Turso's vector search performance.**

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## 📋 START HERE: Complete Summary

**For the complete analysis and next steps, read:** [CRITICAL_BENCHMARK_ENVIRONMENT_ISSUE.md](./CRITICAL_BENCHMARK_ENVIRONMENT_ISSUE.md)

---

## Critical Issue Summary

### The Problem

The benchmark suite uses `file://` URLs which connect to **local SQLite**, NOT Turso:

```rust
// Current implementation (INCORRECT)
let storage = TursoStorage::new(
    &format!("file:{}", db_path.to_string_lossy()),  // ← LOCAL SQLITE
    ""
).await?;
```

**Local SQLite does NOT have Turso's vector extensions:**
- ❌ No `vector32()` function
- ❌ No `vector_top_k()` table function
- ❌ No `libsql_vector_idx()` for DiskANN index
- ❌ No native vector search support

### Evidence

```bash
$ sqlite3 local.db "SELECT vector32('0.1,0.2');"
Error: no such function: vector32
```

### Impact

All "native vector search" benchmarks are actually testing **brute-force search with fallback overhead**:
- Native vs brute-force comparison is **INVALID**
- O(log n) scaling claims are **INVALID**
- 7.6x-76x slower-than-target findings are **INVALID**
- Results **CANNOT** be used for Phase 2 decisions

---

## Quick Results (Invalid)

| Metric | Measured | Target | Status |
|--------|-----------|---------|--------|
| 384-dim search (100) | 15.14 ms | ~2 ms | ❌ **INVALID** - wrong environment |
| 384-dim search (1K) | 152.86 ms | ~2 ms | ❌ **INVALID** - wrong environment |
| Brute-force (100) | 13.36 ms | ~50 ms | ✅ Valid - 3.7x faster |
| JSON deserialization | 2.17 µs | ~2 ms | ✅ Valid - 921x faster |
| Memory reduction | Not measured | 70-80% | ⚠️ Not tested |

---

## Deliverables

| Deliverable | Status |
|-------------|---------|
| Benchmark results | ❌ Invalid for vector search |
| Performance analysis | ⚠️ Documented issue |
| Comparison table | ❌ Invalid comparisons |
| Performance issues | ✅ Found critical environment issue |
| Phase 2 recommendations | ⚠️ Need correct data first |

---

## Solution: How to Run Correct Benchmarks

### Option 1: Turso Local Server (Recommended)

```bash
# Install Turso CLI
curl -sSfL https://get.turso.dev | sh

# Start local libSQL server (with vector extensions)
turso dev --db-file /tmp/benchmark.db
```

Update benchmark to use Turso server URL:
```rust
let storage = TursoStorage::new("libsql://127.0.0.1:8080", "")?;
```

### Option 2: Turso Cloud

```bash
# Set up environment variables
export TURSO_DATABASE_URL="libsql://<your-database-url>"
export TURSO_AUTH_TOKEN="<your-auth-token>"
```

See [HOW_TO_RUN_TURSO_LOCALLY.md](./HOW_TO_RUN_TURSO_LOCALLY.md) for complete guide.

---

## Quick Reference

| Connection Type | URL Format | Vector Support |
|----------------|-------------|-----------------|
| Local SQLite | `file:path.db` | ❌ No vector functions |
| Turso Local Server | `libsql://127.0.0.1:8080` | ✅ Full vector support |
| Turso Cloud | `libsql://<db-url>` | ✅ Full vector support |

**Recommendation**: Use `turso dev` for local benchmarks with vector support.
**Note**: Always use `libsql://` protocol, NOT `http://` protocol.

---

## Next Steps (Required)

1. **Install and start Turso dev server**
2. **Re-run all benchmarks**
3. **Validate vector index usage**
4. **Only then proceed to Phase 2**

---

## Files

- **[CRITICAL_BENCHMARK_ENVIRONMENT_ISSUE.md](./CRITICAL_BENCHMARK_ENVIRONMENT_ISSUE.md)** - Root cause documentation
- [SUMMARY.md](./SUMMARY.md) - Quick reference tables
- [HOW_TO_RUN_TURSO_LOCALLY.md](./HOW_TO_RUN_TURSO_LOCALLY.md) - Setup guide
- benchmark_raw_output.txt - Full execution log

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**DO NOT** use current benchmark results for decision-making.

**MUST** re-run with Turso environment (local dev server or cloud).
