[Phase 9] Parallel Query Processing #9
Description
Phase 9: Query Optimization & Performance
Overview
Implement multi-threaded query execution for improved performance on multi-core systems.
Features to Implement
- Parallel query execution engine
- Worker thread pool management
- Parallel table scans and joins
- Parallel aggregation and sorting
- Query parallelization planning
- Dynamic work stealing for load balancing
Technical Requirements
- Rust async/await and tokio integration
- Thread-safe data structures for parallel access
- Work partitioning algorithms
- Inter-thread communication and synchronization
- Memory management for parallel execution
- Integration with actor system concurrency
Success Criteria
- Multi-core utilization for query processing
- Linear scalability with number of cores (up to 8-16 cores)
- Parallel execution for large table scans
- Improved performance for complex analytical queries
- Configurable parallelism levels
Dependencies
- Requires Query Planner for parallel execution planning
- Integration with existing SQL executor
- Thread-safe actor system components
Estimated Effort
5-6 weeks