Text-Based Range Descriptors for Database Search Latency
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Solution Overview
Problem
As the number of records in databases increases, search times become excessively long, leading to unacceptable delays and latency in retrieving data due to inefficient management and organization of large sets of computer-based data.
Innovation Solution
A range-conversion method is implemented, where data records with range-based fields are converted into text-based range descriptors, allowing for efficient text-string generation and search methods that identify matching records within a database, reducing search latency by generating result sets based on target data ranges and values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional database searching methods are used on large sets of records, then data retrieval completeness is maintained, but search time increases dramatically leading to unacceptable delays and latency
Solution Approach 1:
The patent segments the database records by creating separate text files for each data field type (e.g., one text file for all patient names, another for all ages, another for diagnoses). This segmentation allows the search system to query only relevant text files rather than scanning all records, dramatically reducing search time while maintaining retrieval completeness
Solution Approach 2:
The patent performs preliminary action by pre-processing database records into structured text files during data entry or initial setup. Each text file is organized with field descriptors and values ready for quick scanning, so when a search is initiated, the system can immediately query pre-organized data without performing complex database joins or scans during the search operation
2Speed
If the database structure is simplified for faster searching, then search latency is reduced, but data organization and management become more challenging
Solution Approach 1:
The patent segments data into multiple specialized text files organized by field type, with each file containing structured records with field descriptors. This segmentation enables fast searching within specific data categories while the overall system manages complexity through a standardized file format and clear organization hierarchy
Solution Approach 2:
The patent applies local quality by optimizing each text file for its specific data type with appropriate formatting and structure. Each file can be tailored to its data category (e.g., numeric fields sorted differently from text fields), enabling efficient searching for that specific data type while maintaining overall system coherence through consistent field descriptor conventions
Data Source
AI summary
A range-conversion method and system includes receiving data records. Each data record includes one or more data fields and a field value associated with each data field. One or more data fields are identified as a range-based data field. A plurality of text-based range descriptors are defined, such that each text-based range descriptor is associated with a range of field values for one of the range-based data fields.