Search Index Partitioning by Entity Type
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
As search indexes grow in size, they require increasing computational resources and processing time, leading to degraded performance and user experience in data retrieval within a computing environment.
Innovation Solution
The method involves partitioning search indexes into subsets using a partition manager, correlating entity types with specific partitions, and utilizing a partitioning scheme to distribute indexing responsibilities across multiple partitions, allowing for efficient search operations without modifying the underlying indexing application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search indexes grow to accommodate larger data stores, then more information can be retrieved, but computational resources and processing time increase
Solution Approach 1:
The patent divides a large search index into multiple smaller partitions, each handling a subset of entity types. This segmentation allows the system to maintain large data stores while keeping individual index partitions small enough to be efficiently managed with limited computational resources.
2Quantity of substance
If search indexes grow to accommodate larger data stores, then more information can be retrieved, but search processing time increases
Solution Approach 1:
By partitioning the search index into multiple smaller indexes based on entity types, the system can process search queries faster by directing them to relevant partitions rather than searching through a single large index, thus reducing search processing time while maintaining the ability to retrieve information from large data stores.
3Quantity of substance
If search indexes are managed with larger sizes, then more data can be indexed, but overhead costs and system complexity increase
Solution Approach 1:
The patent organizes indexed data into partitions based on entity types, which simplifies management operations such as updates, deletions, and maintenance. Each partition can be independently managed, reducing the overall complexity of managing large-scale search indexes while still allowing extensive data to be indexed.
Data Source
AI summary
Methods and systems for partitioning search indexes are described. In one embodiment, such a method includes identifying, via a partition manager, a search index to be partitioned, where the search index includes a plurality of entity types, and wherein each of the plurality of entity types associates records stored in a data store with the respective entity type within the search index. The method further includes partitioning, via the partition manager, the search index into a first partitioned search index and a second partitioned search index, correlating, via a partitioning scheme, a first subset of the plurality of entity types with the first partitioned search index, and correlating, via the partitioning scheme, a second subset of the plurality of entity types with the second partitioned search index.