Database Query Optimization with Tempdb Resource Awareness
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Solution Overview
Problem
Existing database management systems fail to effectively account for limited resource usage, such as temporary database storage, during query optimization, leading to potential plan execution failures due to resource starvation.
Innovation Solution
Implement a system that identifies and considers limited resource usage, specifically temporary database usage, during query optimization by determining if any possible plan exceeds a threshold level, and if so, flags it as an overflow plan, prioritizing non-overflowing plans in the optimization process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the optimizer selects the cheapest query execution plan without considering tempdb usage, then query execution cost is minimized, but resource starvation may occur when tempdb resources are insufficient
Solution Approach 1:
The patent changes the optimization parameter from purely cost-based to a composite parameter that includes both cost and tempdb usage. The query optimizer now evaluates plans based on multiple parameters: traditional cost metrics and temporary database consumption, allowing it to select plans that balance both efficiency and resource constraints
Solution Approach 2:
The system dynamically adjusts plan selection based on available tempdb resources. When tempdb resources are sufficient, the optimizer may choose cost-optimized plans; when resources are constrained, it dynamically shifts to selecting plans with lower tempdb requirements, making the optimization behavior adaptive to current system state
2Device complexity
If the optimizer assumes unlimited tempdb availability, then plan selection is simplified, but the selected plan may fail when tempdb resources are exhausted
Solution Approach 1:
The system performs preliminary evaluation of tempdb requirements for each candidate plan before final selection. The query optimizer estimates the temporary database usage for each possible execution plan in advance, allowing it to filter or reweight plans based on their resource requirements before committing to a selection
Solution Approach 2:
The system incorporates feedback mechanisms where actual tempdb usage from historical query executions is fed back to the optimizer. This feedback loop allows the optimizer to learn from past resource consumption patterns and improve its predictions of tempdb requirements for different query plans
3Adaptability or versatility
If multiple query plans compete for limited tempdb resources, then resource contention increases, but starvation of other query plans occurs
Solution Approach 1:
The patent creates a universal resource awareness mechanism that applies to all query plans regardless of their specific operations. The tempdb usage estimation and consideration framework is universally applied across different query types, optimization strategies, and execution plans, providing consistent resource-aware optimization throughout the system
Data Source
AI summary
System, method, computer program product embodiments and combinations and sub-combinations thereof for tuning query execution performance in a database management system are described. In an aspect, query optimization in a database management system (DBMS) with awareness of limited resource usage includes identifying limited resource usage for each possible plan being considered for query execution by a query engine. A determination of whether any possible plan has limited resource usage that does not exceed a threshold level is made, and when at least one possible plan does not exceed the threshold level, the identified limited resource usage is included as a consideration during plan selection by the query engine. In an embodiment, temporary database usage is identified for each possible plan.