Query Observation Information Scene-Based Storage Segmentation
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Solution Overview
Problem
Existing query systems face challenges in efficiently processing and storing observation information generated during query request processing, which hinders effective troubleshooting and optimization of retrieval systems.
Innovation Solution
A method is introduced that involves obtaining observation information from query request processing, determining a scene identification corresponding to the observation information, and outputting it to a corresponding storage location based on the scene identification, thereby optimizing storage and retrieval efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If observation information is stored without scene identification, then storage is simple, but retrieval efficiency and troubleshooting effectiveness deteriorate
Solution Approach 1:
The patent segments observation information into different categories based on scene identification (e.g., query processing scenes, retrieval scenes, ranking scenes). Each scene has its own storage location and management mechanism, allowing efficient targeted retrieval while maintaining organized structure. This segmentation resolves the contradiction by enabling fast retrieval of specific scene data without requiring complex search across all data.
Solution Approach 2:
Different storage locations are assigned to different scenes based on their specific characteristics and retrieval patterns. Hot scenes with frequent access are stored in high-speed access locations, while less critical scenes use standard storage. This local quality approach optimizes retrieval efficiency for each scene type without uniformly increasing system complexity across the entire storage system.
2Measurement precision
If all observation information is stored in a single location, then storage structure is simple, but storage costs increase and retrieval precision deteriorates
Solution Approach 1:
The patent divides observation information into scene-specific segments and stores them in appropriate locations based on scene characteristics. This segmentation enables precise retrieval of relevant scene data without unnecessarily storing or accessing all other scene data, reducing storage costs while maintaining high retrieval precision for each scene type.
Solution Approach 2:
The system changes storage parameters (location, access speed, retention policy) based on scene identification. Different scenes have different storage requirements, so the system adjusts parameters dynamically or statically according to scene type, achieving cost optimization and precision improvement simultaneously.
3Ease of operation
If observation information is not organized by scene, then storage process is simple, but troubleshooting effectiveness deteriorates
Solution Approach 1:
The patent implements scene-based segmentation of observation information, where each scene has a dedicated storage area and identification mechanism. This segmentation makes troubleshooting more effective by allowing maintenance personnel to quickly locate and analyze data related to specific scenes without wading through unrelated data, while the organization complexity is managed through standardized scene definitions.
Solution Approach 2:
Scene identification acts as an intermediary layer between the raw observation information and the storage system. This intermediary organizes and categorizes information before storage, making it easily retrievable and interpretable for troubleshooting while absorbing the organizational complexity in a manageable layer.
Data Source
AI summary
A method of processing an observation information, an electronic device and a storage medium are provided, which are related to a field of data processing technology, in particular to fields of intelligent searching, cloud computing and big data. The method includes: obtaining the observation information generated in a process of processing a query request; determining a scene identification corresponding to the observation information; and outputting the observation information to a corresponding target position for storage according to the scene identification.