Performance Considerations
The architecture provides several performance characteristics:
- Content-addressable storage: Enables efficient deduplication through SHA-256 content hashing.
- Database structure (DAG): Supports partial replication and sparse checkouts. Tip calculation complexity depends on parent relationships.
- InMemoryDatabase: Provides high-speed operations but is limited by available RAM.
- Lock-based concurrency: May create bottlenecks in high-concurrency write scenarios.
- Height calculation: Uses BFS-based topological sorting with O(V + E) complexity.
- CRDT merge algorithm: Employs recursive LCA-based merging with intelligent caching.
CRDT Merge Performance
The recursive LCA-based merge algorithm uses caching for performance optimization:
Algorithm Complexity
- Cached states: O(1) amortized performance
- Uncached states: O(D × M) where D is DAG depth and M is merge cost
- Overall performance benefits from high cache hit rates
Key Performance Benefits
- Efficient handling of complex DAG structures
- Optimized path finding reduces database calls
- Cache eliminates redundant computations
- Scales well with DAG complexity through memoization
- Memory-computation trade-off favors cached access patterns