Reusable Index Fields for Multi-Tenant Search Systems
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Solution Overview
Problem
Current indexing methods in search engines require large and complex data structures due to different physical field structures for each tenant, leading to inefficient use of resources and high maintenance costs, as they are not configured to reuse physical index fields.
Innovation Solution
Implementing a computing system that reuses or repurposes physical index fields by using a shared set of reusable index fields for multiple tenants, allowing for efficient mapping and storage of tenant-specific properties, reducing the number of physical fields needed and minimizing empty spaces in the index.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dedicated physical structures are used for each tenant's properties, then each tenant can have customized index fields, but the total number of physical structures increases significantly and creates many empty areas in the index
Solution Approach 1:
The patent applies universality by creating a shared index structure where physical fields can serve multiple tenants. Instead of dedicating separate physical fields to each tenant, the same physical field can store properties for different tenants at different logical levels, allowing one physical structure to fulfill multiple tenant-specific requirements simultaneously.
Solution Approach 2:
The patent implements nesting by organizing index data in a hierarchical structure where tenant-specific properties are nested within a shared index framework. The index structure allows nested storage of tenant identifiers and property values within the same physical field, enabling multiple layers of data organization without requiring separate physical structures for each tenant.
2Reliability
If separate indexes are created per tenant, then tenant data isolation is achieved, but the total number of physical structures becomes very large
Solution Approach 1:
The patent merges multiple tenant indexes into a single shared index structure. By combining what would traditionally be separate physical indexes into one unified structure with appropriate isolation mechanisms, the system maintains tenant data isolation while dramatically reducing the total quantity of physical structures required.
Solution Approach 2:
The patent introduces an intermediary layer (tenant identifier and logical structuring) between the physical storage and tenant data. This intermediary allows multiple tenants to share the same physical index structures while maintaining logical isolation, acting as a mediator that enables both sharing and isolation simultaneously.
3Manufacturing precision
If different physical field structures are used for each property type, then precise property indexing is achieved, but the index becomes very large and requires high maintenance
Solution Approach 1:
The patent applies local quality by allowing different portions of the shared index structure to have different organizational characteristics optimized for specific property types, while maintaining an overall unified structure. Each property type can be indexed with appropriate precision within the shared framework without requiring the entire index to have maximum complexity.
Data Source
AI summary
Indexing and searching features are provided including associated system, methods, and other implementations. A computing system of an embodiment is configured to reuse or repurpose physical index fields for different tenants as part of providing efficient and scalable indexing and searching services. A method of one embodiment operates to provide an indexed data structure that includes a number of reusable index fields that are shared and used to index information associated with a plurality of tenants. Other embodiments are included.