Stream Data Indexing via Selective Sub-stream Segmentation
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Solution Overview
Problem
Existing systems face challenges in efficiently indexing large streams of data, requiring substantial resources for indexing and querying, and brute force searching when not indexed, leading to slow and cumbersome search processes.
Innovation Solution
Implementing a method to index only portions of a data stream based on specifications, generating a full-text search index that is self-referential, allowing for efficient storage and maintenance, and enabling dynamic scaling and merging of indexes to optimize resource usage and query performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If all of a stream is indexed, then search efficiency is improved, but computing resources, I/O operations, memory, and storage requirements increase substantially
Solution Approach 1:
The patent divides a large data stream into multiple sub-streams based on routing keys, allowing selective indexing of only certain sub-streams. This segmentation enables the system to index portions of the stream rather than the entire stream, reducing resource requirements while maintaining search efficiency for relevant data.
Solution Approach 2:
The patent implements differential indexing where different sub-streams within the same data stream receive different indexing treatments based on their specific characteristics and query relevance. High-value sub-streams are fully indexed while others may be partially indexed or excluded, optimizing resource allocation according to local needs.
2Speed
If a large index is created, then query results can be obtained faster, but the number of matching results increases substantially requiring filtering and iteration
Solution Approach 1:
By segmenting the index into sub-stream-specific indexes, the system reduces the scope of each index search. Queries are routed to specific sub-stream indexes rather than searching a monolithic large index, resulting in fewer matching results and reduced filtering requirements while maintaining fast retrieval.
3Quantity of substance
If no indexing is performed, then resource requirements are reduced, but finding query results requires brute force search which is very slow
Solution Approach 1:
The patent applies partial indexing by selecting only certain sub-streams for indexing based on their query relevance and characteristics. This partial action provides sufficient search acceleration for the most important data while avoiding the resource cost of indexing the entire stream, achieving a balance between speed and resources.
4Quantity of substance
If selective indexing of portions of stream is implemented, then resource usage is optimized, but system complexity increases
Solution Approach 1:
The patent manages complexity by segmenting the indexing system into modular components that handle different sub-streams independently. Each sub-stream can be configured with its own indexing parameters, and the system processes them separately, making the complexity manageable through clear separation of concerns.
Solution Approach 2:
The patent implements a universal indexing framework that can handle different sub-stream types with different indexing requirements using the same underlying infrastructure. The system provides multi-functionality by supporting full indexing, partial indexing, and no indexing for different sub-streams, reducing complexity through code reuse and standardized interfaces.
Data Source
AI summary
Systems and methods are disclosed for efficiently indexing stream data to facilitate full-text search of the stream data. A stream comprises large amount of data, only some of which is deemed useful for full-text search indexing. An administrator can specify an indexing specification for a stream. The indexing specification can specify one or more sub-streams within the stream for indexing, and/or specify one or more time intervals of stream data for indexing. A query against the stream can specify the indexing specification to use to index the stream before returning results for the query. The query can alternatively specify an indexing specification to apply to a previously indexed stream. Full-text search indexes generated using an indexing specification can return results that are more relevant to a user because the results are more narrowly focused than an index of, e.g., the entire stream.