Dynamic Thread Allocation for Query Operator Parallelism
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Solution Overview
Problem
Query processors face inefficiencies in maximizing operator parallelism, leading to suboptimal performance in information retrieval systems, as existing methods do not effectively allocate threads of control to operators based on their specific parallelization capabilities and resource constraints.
Innovation Solution
A system and method that select operators for parallelization by determining if their values satisfy a threshold, sort them by maximum thread capacity, and allocate threads of control based on available resources, ensuring optimal assignment and dynamic re-allocation during query execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If threads of control are allocated to operators without systematic optimization, then resource allocation is simple, but operator parallelism is not maximized and query processing performance deteriorates
Solution Approach 1:
The system changes the parameter of thread allocation from static/equal distribution to dynamic optimization based on operator characteristics. It calculates an optimal thread count for each operator by considering factors like operator type, data size, and current system load, then allocates threads accordingly to maximize query processing performance.
Solution Approach 2:
The system performs preliminary analysis of operator characteristics and requirements before actual query execution. It pre-determines the optimal thread allocation strategy by evaluating operator parallelism potential and resource constraints, then applies this pre-computed allocation during query processing to achieve optimal performance.
2Productivity
If maximum threads are allocated to all operators simultaneously, then operator parallelism is maximized, but system resource constraints are violated and stability deteriorates
Solution Approach 1:
The system applies different thread allocation strategies to different operators based on their local characteristics. Each operator receives a customized thread count determined by its specific requirements, data size, and parallelism potential, rather than a uniform allocation. This localized optimization maximizes parallelism while respecting system constraints.
Solution Approach 2:
The system dynamically adjusts thread allocation based on real-time system conditions and operator characteristics. It continuously monitors resource availability and modifies thread distribution to balance parallelism goals with constraint satisfaction, ensuring system reliability while maximizing productivity.
3Productivity
If thread allocation is performed without considering operator characteristics, then allocation process is simple, but parallelism optimization is lost and performance deteriorates
Solution Approach 1:
The system introduces multiple parameters for thread allocation including operator type, data size, estimated processing time, and current system load. It uses these parameters to calculate an optimal thread count for each operator, transforming the allocation process from simple to optimized while significantly improving query execution efficiency.
Solution Approach 2:
The system implements feedback mechanisms that monitor query execution progress and resource utilization. It uses this feedback to refine thread allocation decisions, adjusting allocations based on actual performance data to continuously optimize query execution efficiency while managing algorithm complexity.
Data Source
AI summary
A system selects multiple operators in a query graph by determining whether a corresponding value satisfies a threshold for each operator. The system sorts each selected operator in an ascending order based on a corresponding maximum thread capacity and determines an average number of threads of control based on available threads and the selected operators. The system allocates an initial number of threads to an initial selected operator in the ascending order, the initial number based on a minimum of the average number of threads and corresponding maximum thread capacity. The system determines a revised average number of threads based on remaining number of available threads and remaining number of the selected operators and allocates a next number of threads to a next selected operator in the ascending order, the next number based on a minimum of the revised average number of threads and corresponding maximum thread capacity.