Adaptive Query Plan Cache Sizing for Recompilation Control

The patent implements dynamic cache size adjustment by continuously monitoring cache hit rates and automatically modifying the cache size based on observed query patterns. The cache manager adjusts the cache size in real-time, expanding it when hit rates indicate benefit and contracting it when memory resources are better utilized elsewhere, thus resolving the contradiction between maintaining large cache for efficiency and avoiding memory waste.

The system employs feedback mechanisms by monitoring cache hit rates and using this information to adjust cache size. The cache manager receives feedback about cache performance metrics and automatically modifies the cache configuration accordingly, creating a closed-loop control system that optimizes the balance between cache size and memory utilization based on actual query workloads.

Rather than using a static small cache size, the system dynamically adjusts the cache size based on monitored query patterns and cache hit rates. When the cache demonstrates high utility through high hit rates, the system expands it to prevent recompilation delays. When memory pressure increases or hit rates drop, the system contracts the cache, thus adaptively balancing memory utilization against query execution time requirements.

The patent changes the cache size parameter dynamically based on operational conditions. The cache manager monitors performance metrics and adjusts the cache size parameter in response to changing workload characteristics, transforming the cache from a fixed-size structure to an adaptive one that optimizes the trade-off between memory utilization and query execution performance under different conditions.

The cache manager implements self-service by automatically monitoring its own performance metrics and adjusting its size without external intervention. The system autonomously detects when cache size optimization is needed based on hit rate monitoring and automatically executes size adjustments, eliminating the need for complex manual configuration or external control mechanisms while achieving performance optimization.

The system uses feedback from cache performance monitoring to automatically adjust cache size. By continuously observing cache hit rates and using this feedback to trigger size adjustments, the system achieves adaptive performance optimization without requiring complex external control systems, thus maintaining relative simplicity while overcoming the limitations of fixed cache sizes.