Dynamic Query Pipeline Reconfiguration via Node Adaptation

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Solution Overview

Problem

Existing query execution systems in data processing systems are inefficient due to fixed pipeline configurations that do not adapt to the capabilities of individual nodes, leading to suboptimal performance and increased processing time.

Innovation Solution

A query optimization system that dynamically reconfigures the execution pipeline at runtime by modifying node capabilities and positions based on inter-nodal communications, creating a modified pipeline that optimizes query execution by utilizing the best-suited capabilities of available nodes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a fixed pipeline configuration is used, then the system structure is simple and stable, but the query execution efficiency is suboptimal and processing time is increased

Engineering Contradiction:

Improvequery execution efficiencyVSAvoidpipeline configuration complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements dynamic reconfiguration of the execution pipeline at runtime based on inter-nodal communications. Nodes can change their capabilities and positions within the pipeline dynamically, transforming the static fixed configuration into a dynamic adaptive structure that optimizes query execution efficiency while managing complexity through automated runtime adjustments

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the operational parameters of pipeline nodes by modifying their capabilities and positions based on runtime conditions. This allows the pipeline to adapt its configuration parameters dynamically, improving query execution efficiency by selecting optimal node arrangements and capabilities for different query types and data conditions

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If node capabilities are fixed, then the system is easier to manage, but the adaptability to different execution environments is reduced

Engineering Contradiction:

Improveadaptability to execution environmentVSAvoidpipeline management ease

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The execution pipeline performs self-reconfiguration through inter-nodal communications where nodes automatically adjust their capabilities and positions based on runtime conditions. This self-service mechanism enables the system to adapt to different execution environments autonomously without requiring manual management intervention, thus improving adaptability while maintaining ease of operation

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Node capabilities are made dynamic rather than fixed, allowing them to change at runtime based on execution environment conditions. This dynamic capability adjustment enables the system to adapt to varying query types, data characteristics, and resource availability while the automated nature of the changes preserves operational simplicity

Inventive Principle:

Principle #15Dynamics

3Speed

If the pipeline is reconfigured dynamically, then the query execution speed is improved, but the system complexity increases

Engineering Contradiction:

Improvequery execution speedVSAvoidsystem configuration complexity

Core Design Contradiction:

SpeedVSDevice complexity

Solution Approach 1:

The system uses inter-nodal communications as a feedback mechanism where nodes exchange information about their capabilities, performance, and execution environment conditions. This feedback loop enables dynamic reconfiguration that optimizes query execution speed while the distributed nature of the feedback system prevents centralized complexity accumulation

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The pipeline performs self-reconfiguration without external intervention, automatically adjusting node capabilities and positions to optimize execution speed. This self-service approach handles the complexity internally through automated runtime decisions, preserving system simplicity from the user perspective while achieving high execution speeds

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11475007B2Dynamic self-reconfiguration of nodes in a processing pipeline

Publication Date: 2022.10.18 ORACLE INT CORP

AI summary

A query optimization system is described that, at runtime, optimizes the execution pipeline generated for a query. Based upon communications between nodes in the execution pipeline, the execution pipeline generated for a query is optimized by modifying the execution pipeline to create a modified execution pipeline. The modified execution pipeline is then executed to execute the query and results obtained for the query. The changes or modifications made to an execution pipeline may include changing the capabilities (e.g., changes to inputs and/or outputs of a node, changing the task(s) or function(s) performed by the node) of one or more nodes within the execution pipeline. The changes may include changing the position of one or more nodes within a directed acyclic graph representing the execution pipeline.