Single Table Index Relational Database Search
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Solution Overview
Problem
Traditional relational databases require structural alterations to incorporate new items or categories, and only specific fields are indexed for quick lookup, limiting flexibility and efficiency in search and retrieval operations.
Innovation Solution
A single table index structure that allows for efficient search and retrieval of data items by using a global index to identify and prioritize relevant data items based on identifiers and strings, enabling flexible association and retrieval of data without preconceived relational structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional relational database structure is used, then data can be organized with predefined schemas, but structural alterations are required to incorporate new items or categories
Solution Approach 1:
The database structure is segmented into a global index table that stores all identifiers and strings without predefined relational constraints. This allows new items to be added as simple row entries rather than requiring structural modifications to the overall database schema.
Solution Approach 2:
The system dynamically determines relationships between data items through scanning and pattern recognition in the global index, rather than relying on static predefined schemas. This enables the database structure to adapt automatically to new items and categories without manual structural changes.
2Productivity
If only certain fields are keyed into an index, then indexing efficiency is maintained, but search flexibility is limited
Solution Approach 1:
The global index table serves multiple functions simultaneously: it acts as a complete search index for all identifiers and strings, a relationship discovery mechanism through pattern scanning, and a dynamic query processor that handles both specific and ambiguous search terms without requiring predetermined indexing decisions.
Solution Approach 2:
The system changes the indexing parameter from selective field-keying to comprehensive indexing of all identifiers and strings in the global index table. This universal indexing approach maintains efficiency through structured scanning while enabling flexible searches across any combination of fields.
3Measurement precision
If a global index scans all identifiers and strings, then comprehensive search results are achieved, but processing time increases
Solution Approach 1:
The global index table is pre-organized with all identifiers and strings in a standardized format with consistent column structures. This preliminary organization enables efficient scanning and pattern matching during query processing, reducing the time penalty associated with comprehensive searches.
Solution Approach 2:
The system performs scanning of the global index only when relationship discovery is needed, rather than continuously. For simple exact-match queries, traditional indexed searches are used. The comprehensive scanning approach is applied selectively to ambiguous or exploratory queries where discovering unexpected relationships is valuable.
Data Source
AI summary
Technologies are disclosed for indexing and searching using a single table index. A processing device receives a query and processes a global index associated with a database with respect to the query to identify corresponding identifiers and/or strings, processes indexes associated with data items within the database with respect to the identifiers and/or strings, scans adjacent rows in the index that include identifiers and/or strings, identifies identifiers that are associated with the identifiers and/or strings, scans rows of the indexes to identify additional rows that also include the other identifiers, identifies search results in response to the query, prioritizes the search results based on priority status indicators associated with the search results, and provides the search results, as prioritized, in response to the query.