[Phase 9] Parallel Query Processing

[ravituringworks]

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