Differentiated Subfield Indexing for Database Query and Insertion Trade-offs
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Solution Overview
Problem
Database operations face performance degradation due to the costs associated with creating and maintaining indexes, particularly during insertion, deletion, and modification operations, as well as inefficiencies in determining index entry positions during queries.
Innovation Solution
The use of differentiated subfields within multi-field database indexes to enforce index clustering, optimize disk I/O, and implement a set function calculation algorithm that reduces the number of records and index entries read during query execution, along with the definition of inferred indexes for circular tables using auto-incremented fields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If indexes are created to improve query performance, then search speed is improved, but insertion, deletion, and modification operations become slower due to the need to maintain index structures
Solution Approach 1:
The patent segments a single multi-field index into multiple differentiated subfields, where each subfield can be independently optimized. This allows the index structure to be divided into segments that can be maintained separately, reducing the overhead on insertion and modification operations while preserving query performance benefits.
Solution Approach 2:
The patent applies different optimization strategies to different subfields within the same index structure. By identifying which subfields are frequently queried versus which are frequently modified, the system can apply local quality improvements such as clustering only to appropriate subfields, thereby improving query performance without unnecessarily impacting write operations.
2Adaptability or versatility
If multiple indexes are created on the same table to handle different query types, then query versatility is improved, but storage space requirements increase
Solution Approach 1:
The patent merges multiple indexing requirements into a single multi-field index structure that contains differentiated subfields. Instead of creating separate indexes for different query types, the system combines them into one index where each subfield can serve different query patterns, thereby reducing total storage space while maintaining query versatility.
Solution Approach 2:
The multi-field index structure with differentiated subfields serves multiple query types simultaneously. A single index can handle queries on individual subfields, combinations of subfields, and different query patterns, making the index structure universal and eliminating the need for multiple specialized indexes.
3Ease of manufacture
If traditional multi-field indexes are used without differentiation, then index creation is simple, but disk I/O efficiency deteriorates due to lack of clustering
Solution Approach 1:
The patent performs preliminary action by automatically identifying and differentiating subfields within the index structure during index creation. The system pre-analyzes the query patterns and data characteristics to determine which subfields should be clustered, then applies clustering optimizations in advance before actual query operations occur, thereby improving disk I/O efficiency without adding complexity to the creation process.
Data Source
AI summary
A database system uses indexes to improve performance. The system can use one or more of the following: differentiated subfields for index clustering; set function calculations to reduce the amount of I/O; and/or using an inferred index in a circular table.