Search Index Segmentation for Metadata Update Efficiency
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Solution Overview
Problem
Existing search systems face inefficiencies in resource utilization due to redundant updates of content field entries when metadata changes occur, and fail to satisfactorily respond to queries requiring both content and metadata criteria due to uncoupled indexes, leading to increased implementation and maintenance costs.
Innovation Solution
A computer-implemented method that queries separate content and metadata indexes, assigns unique and additional identifiers to objects, and uses logical operators to correlate these identifiers, eliminating the need for costly mapping databases and preventing redundant updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content field entries and metadata field entries are coupled in a single search index, then updates are simplified, but redundant updates of content field entries occur when only metadata changes, wasting computing resources
Solution Approach 1:
The patent divides the search index into separate content field entries and metadata field entries. When metadata changes, only the metadata field entries are updated while content field entries remain unchanged, eliminating redundant updates and computing resource waste while maintaining update simplicity through the unified index structure.
Solution Approach 2:
The patent applies different update behaviors to different parts of the index based on the type of change. Content field entries are updated only when content changes, while metadata field entries are updated when metadata changes. This localized update strategy prevents unnecessary computations while maintaining the simplicity of a unified index structure.
2Loss of energy
If content field entries and metadata field entries are uncoupled into separate search indexes, then redundant updates are avoided, but the system cannot satisfactorily respond to queries requiring both content and metadata criteria
Solution Approach 1:
The patent introduces a correlation mechanism that acts as an intermediary between separate content and metadata indexes. This correlation structure enables the system to efficiently join results from both indexes based on object identifiers, allowing accurate responses to queries requiring both content and metadata criteria while maintaining the efficiency benefits of separate indexes.
3Reliability
If a mapping database is added to correlate content and metadata indexes, then query accuracy is improved, but implementation and maintenance costs substantially increase
Solution Approach 1:
The patent extracts the correlation functionality from a separate mapping database and integrates it directly into the index structure through correlation fields within the unified search index. This eliminates the need for a standalone mapping database, reducing implementation and maintenance costs while maintaining query accuracy through efficient identifier-based correlation.
Data Source
AI summary
What is disclosed includes a method for searching objects in response to a query that includes a first set of criteria pertaining to a first index, a second set of criteria pertaining to a second index, and logic joining the first set of criteria and the second set of criteria. The method includes querying the first and second indexes based on the first and second set of criteria, respectively, to obtain a first set of first-identifier values and a first set of second-identifier values, respectively. The method also includes correlating the first set of second-identifier values with a set of unique-identifier values and/or a second set of first-identifier values. The method also includes using the logic and, the set of unique-identifier values, and/or the second set of first-identifier values to determine a set of matched objects.