Dynamic Search Head Assignment for Data Query Load Balancing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current tools lack the ability to efficiently and flexibly search and analyze large sets of raw machine data across diverse data systems, particularly in IT environments, where data is generated from various sources with different formats and structures, leading to challenges in deriving insights due to the complexity and volume of the data.
Innovation Solution
A data intake and query system that utilizes a flexible schema, known as a late-binding schema, to process and store machine data as events, allowing for field-searchability and enabling users to run queries across vast amounts of data, with features like indexing nodes, search heads, and metadata catalogs to facilitate efficient data retrieval and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If raw data is stored for later retrieval and analysis, then flexibility and ability to analyze all generated data are improved, but data management complexity and storage requirements increase
Solution Approach 1:
The system segments the data management architecture into distinct components: data intake system for ingestion, indexing system for organization, and query system for retrieval. Each component handles specific tasks independently, reducing overall system complexity while enabling flexible analysis of all raw data.
Solution Approach 2:
The patent introduces an indexing system as an intermediary layer between the data intake system and the query system. This indexing system organizes raw data into a searchable format without requiring full processing, acting as a mediator that simplifies both data storage and retrieval operations while maintaining the ability to analyze all generated data.
2Speed
If pre-processing is performed to extract specified data items, then retrieval efficiency is improved, but the ability to analyze unanticipated data is reduced
Solution Approach 1:
The system performs preliminary indexing of raw data without full pre-processing. The indexing system creates searchable structures from raw data as it is ingested, enabling efficient retrieval later without requiring anticipatory extraction of specific data items. This allows the system to maintain retrieval efficiency while preserving the ability to analyze any data that was ingested, including unanticipated data types.
3Ease of operation
If multiple data systems are searched separately, then search functionality is provided, but time to derive insights increases
Solution Approach 1:
The patent merges multiple data systems into a unified query interface. The query system can search across all ingested data from multiple sources simultaneously through a single interface, eliminating the need to search each data system separately and significantly reducing the time required to derive insights while maintaining ease of operation.
Solution Approach 2:
The query system is designed with universal functionality to search across diverse data types and sources through a single interface. It can handle structured, semi-structured, and unstructured data from multiple systems uniformly, providing both ease of operation and fast insight derivation by eliminating the need for separate search operations.
Data Source
AI summary
Systems and methods are disclosed for dynamically assigning a search head or search nodes in a data intake and query system for a query received by the data intake and query system. Existing search heads and search nodes can periodically report their status to the data intake and query system, which can use that information to help determine the need to provision additional search heads and search nodes. The data intake and query system can receive a query identifying a set of data to be processed and a manner of processing the set of data. The data intake and query system can use the status information for existing search heads and search nodes to dynamically assign a search head and search nodes for the query. Dynamically assigning the search head and search nodes in this manner may provide many benefits, including improved load balancing and resource utilization.