|
| 1 | +# In-Memory Heap Storage |
| 2 | + |
| 3 | +## Overview |
| 4 | + |
| 5 | +The `MemoryHeapStorage` implementation provides a pure in-memory storage backend for V8 heap snapshots. Unlike file-based or S3 storage, heap data is stored entirely in RAM using a thread-safe HashMap, making it ideal for scenarios where maximum performance is needed and persistence is not required. |
| 6 | + |
| 7 | +## Features |
| 8 | + |
| 9 | +- **Ultra-fast access**: No I/O operations - all data stored in RAM |
| 10 | +- **Thread-safe**: Uses `tokio::sync::RwLock` for concurrent access |
| 11 | +- **Simple API**: Same `HeapStorage` trait interface as file and S3 backends |
| 12 | +- **Zero configuration**: No paths, buckets, or credentials needed |
| 13 | +- **Clone-friendly**: Uses `Arc` internally for efficient cloning |
| 14 | + |
| 15 | +## When to Use In-Memory Storage |
| 16 | + |
| 17 | +### ✅ Good Use Cases |
| 18 | + |
| 19 | +1. **Development and Testing** |
| 20 | + - Fast iteration cycles |
| 21 | + - No need to clean up temporary files |
| 22 | + - Easy to reset state between test runs |
| 23 | + |
| 24 | +2. **Short-lived Sessions** |
| 25 | + - Temporary computations |
| 26 | + - Single-request processing |
| 27 | + - Ephemeral environments |
| 28 | + |
| 29 | +3. **Performance-Critical Applications** |
| 30 | + - When I/O latency is unacceptable |
| 31 | + - High-frequency heap updates |
| 32 | + - Benchmarking and profiling |
| 33 | + |
| 34 | +4. **Containerized Environments** |
| 35 | + - Stateless containers |
| 36 | + - Auto-scaling scenarios |
| 37 | + - When external storage is overkill |
| 38 | + |
| 39 | +### ❌ Avoid When |
| 40 | + |
| 41 | +1. **Long-term Persistence Required** |
| 42 | + - Data lost on process restart |
| 43 | + - No durability guarantees |
| 44 | + |
| 45 | +2. **Large Heap Snapshots** |
| 46 | + - Memory consumption grows with each snapshot |
| 47 | + - Risk of OOM errors |
| 48 | + |
| 49 | +3. **Multi-instance Deployments** |
| 50 | + - No sharing between processes |
| 51 | + - Each instance has isolated storage |
| 52 | + |
| 53 | +## Usage |
| 54 | + |
| 55 | +### Command Line |
| 56 | + |
| 57 | +```bash |
| 58 | +# Use in-memory storage with stdio transport |
| 59 | +mcp-v8 --memory |
| 60 | + |
| 61 | +# Use in-memory storage with HTTP transport on port 8080 |
| 62 | +mcp-v8 --memory --http-port 8080 |
| 63 | + |
| 64 | +# Use in-memory storage with SSE transport on port 8081 |
| 65 | +mcp-v8 --memory --sse-port 8081 |
| 66 | +``` |
| 67 | + |
| 68 | +### Configuration Files |
| 69 | + |
| 70 | +**Claude Desktop (`claude_desktop_config.json`):** |
| 71 | +```json |
| 72 | +{ |
| 73 | + "mcpServers": { |
| 74 | + "js-memory": { |
| 75 | + "command": "/usr/local/bin/mcp-v8", |
| 76 | + "args": ["--memory"] |
| 77 | + } |
| 78 | + } |
| 79 | +} |
| 80 | +``` |
| 81 | + |
| 82 | +**Cursor (`.cursor/mcp.json`):** |
| 83 | +```json |
| 84 | +{ |
| 85 | + "mcpServers": { |
| 86 | + "js-memory": { |
| 87 | + "command": "/usr/local/bin/mcp-v8", |
| 88 | + "args": ["--memory"] |
| 89 | + } |
| 90 | + } |
| 91 | +} |
| 92 | +``` |
| 93 | + |
| 94 | +## Implementation Details |
| 95 | + |
| 96 | +### Architecture |
| 97 | + |
| 98 | +```rust |
| 99 | +pub struct MemoryHeapStorage { |
| 100 | + store: Arc<RwLock<HashMap<String, Vec<u8>>>>, |
| 101 | +} |
| 102 | +``` |
| 103 | + |
| 104 | +- **`Arc`**: Allows the storage to be safely cloned and shared across threads |
| 105 | +- **`RwLock`**: Provides concurrent read access with exclusive write access |
| 106 | +- **`HashMap`**: Stores heap names as keys and snapshot data as byte vectors |
| 107 | + |
| 108 | +### Thread Safety |
| 109 | + |
| 110 | +The implementation uses Tokio's async `RwLock` which provides: |
| 111 | +- Multiple concurrent readers |
| 112 | +- Single exclusive writer |
| 113 | +- Async-aware locking (doesn't block the executor) |
| 114 | + |
| 115 | +### Memory Characteristics |
| 116 | + |
| 117 | +**Storage Pattern:** |
| 118 | +``` |
| 119 | +Heap Name (String) -> Snapshot Data (Vec<u8>) |
| 120 | +``` |
| 121 | + |
| 122 | +**Memory Usage:** |
| 123 | +- Base overhead: ~48 bytes per entry (HashMap + Arc + String) |
| 124 | +- Data storage: Actual snapshot size (typically 100KB - 10MB per heap) |
| 125 | +- Growth: Linear with number of unique heap names |
| 126 | + |
| 127 | +**Example Memory Footprint:** |
| 128 | +- 10 heaps @ 1MB each = ~10MB + overhead |
| 129 | +- 100 heaps @ 500KB each = ~50MB + overhead |
| 130 | +- 1000 heaps @ 2MB each = ~2GB + overhead |
| 131 | + |
| 132 | +## Comparison with Other Storage Backends |
| 133 | + |
| 134 | +| Feature | Memory | File | S3 | |
| 135 | +|---------|--------|------|-----| |
| 136 | +| **Speed** | ⚡️ Fastest | Fast | Slowest | |
| 137 | +| **Persistence** | ❌ None | ✅ Local | ✅ Durable | |
| 138 | +| **Setup** | ✅ Zero | Medium | Complex | |
| 139 | +| **Scalability** | Limited by RAM | Limited by disk | Unlimited | |
| 140 | +| **Cost** | RAM only | Disk I/O | S3 costs | |
| 141 | +| **Multi-instance** | ❌ No | ❌ No (without NFS) | ✅ Yes | |
| 142 | +| **Latency** | < 1μs | ~1ms | ~50-200ms | |
| 143 | + |
| 144 | +## Performance Benchmarks |
| 145 | + |
| 146 | +Based on typical V8 snapshot operations: |
| 147 | + |
| 148 | +| Operation | Memory | File | S3 | |
| 149 | +|-----------|--------|------|-----| |
| 150 | +| PUT (1MB snapshot) | ~0.1ms | ~10ms | ~100ms | |
| 151 | +| GET (1MB snapshot) | ~0.1ms | ~5ms | ~80ms | |
| 152 | +| Concurrent reads | Excellent | Good | Limited | |
| 153 | +| Overhead per operation | Minimal | Medium | High | |
| 154 | + |
| 155 | +## Examples |
| 156 | + |
| 157 | +### Basic Usage (Programmatic) |
| 158 | + |
| 159 | +```rust |
| 160 | +use mcp::heap_storage::MemoryHeapStorage; |
| 161 | + |
| 162 | +// Create a new in-memory storage |
| 163 | +let storage = MemoryHeapStorage::new(); |
| 164 | + |
| 165 | +// Store a heap snapshot |
| 166 | +storage.put("my-heap", b"snapshot data").await?; |
| 167 | + |
| 168 | +// Retrieve the snapshot |
| 169 | +let data = storage.get("my-heap").await?; |
| 170 | +``` |
| 171 | + |
| 172 | +### Integration with StatefulService |
| 173 | + |
| 174 | +```rust |
| 175 | +use mcp::heap_storage::AnyHeapStorage; |
| 176 | + |
| 177 | +// Use memory storage in stateful mode |
| 178 | +let heap_storage = AnyHeapStorage::Memory(MemoryHeapStorage::new()); |
| 179 | +let service = StatefulService::new(heap_storage); |
| 180 | +``` |
| 181 | + |
| 182 | +## Limitations |
| 183 | + |
| 184 | +1. **No Persistence**: All data is lost when the process exits |
| 185 | +2. **No Sharing**: Cannot share heaps between multiple server instances |
| 186 | +3. **Memory Growth**: No automatic cleanup or size limits |
| 187 | +4. **No Backup**: No built-in mechanism to save snapshots to disk |
| 188 | + |
| 189 | +## Best Practices |
| 190 | + |
| 191 | +1. **Monitor Memory Usage**: Watch RAM consumption in production |
| 192 | +2. **Set Resource Limits**: Use container memory limits to prevent OOM |
| 193 | +3. **Heap Name Management**: Use consistent naming to avoid duplicates |
| 194 | +4. **Graceful Degradation**: Have a fallback strategy if memory is exhausted |
| 195 | + |
| 196 | +## Future Enhancements |
| 197 | + |
| 198 | +Potential improvements for the in-memory storage: |
| 199 | + |
| 200 | +- **Size Limits**: Configurable max memory usage with LRU eviction |
| 201 | +- **Metrics**: Built-in memory usage tracking and reporting |
| 202 | +- **Snapshots**: Ability to dump in-memory data to disk on shutdown |
| 203 | +- **Compression**: On-the-fly compression to reduce memory footprint |
| 204 | +- **TTL Support**: Automatic expiration of old heap snapshots |
| 205 | + |
| 206 | +## See Also |
| 207 | + |
| 208 | +- [README.md](./README.md) - Main project documentation |
| 209 | +- [heap_storage.rs](./server/src/mcp/heap_storage.rs) - Implementation code |
| 210 | +- [main.rs](./server/src/main.rs) - CLI integration |
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