Query Coordinator Routing External Data Sources
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Solution Overview
Problem
Current data intake and query systems face challenges in seamlessly searching and analyzing large volumes of diverse data across various data sources, as their capabilities are often limited to internal data stores, and they lack the ability to route data to different destinations, restricting the scope of search and analytics operations.
Innovation Solution
A data intake and query system that employs a search process master and query coordinators combined with a scalable network of distributed nodes to collect and process data from diverse data systems, enabling extended search and analytics capabilities beyond internal data stores to include external data sources, such as MySQL, PostgreSQL, and cloud storage systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is stored in internal data stores only, then search and analytics capabilities are limited to internal data, but extending to external data sources increases system complexity
Solution Approach 1:
The patent introduces a query coordinator as an intermediary component that mediates between the search process master and external data sources. The query coordinator receives queries, routes them to appropriate external data sources, and collects results, thereby enabling external data access without directly increasing the complexity of the core search system.
Solution Approach 2:
The system is segmented into distinct functional components: search process masters handle search operations, query coordinators manage query routing to external sources, and distributed nodes handle data collection. This segmentation allows each component to specialize in specific tasks, making the overall system more manageable despite its extended capabilities.
2Adaptability or versatility
If data is collected from diverse external data systems, then analytics coverage is expanded, but data processing complexity increases
Solution Approach 1:
The query coordinator serves multiple functions: it receives queries from search process masters, routes queries to different external data sources, collects results, and returns them to the search process master. This multi-functionality consolidates data processing complexity into a single component rather than distributing it across multiple specialized components.
Solution Approach 2:
The system implements feedback mechanisms where query results from external data sources are collected and returned to search process masters, which then incorporate these results into their search responses. This feedback loop enables continuous refinement of search results based on external data while maintaining a clear separation of concerns.
3Adaptability or versatility
If search queries are routed to external data sources, then search scope is extended, but query processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing connections and routing rules for external data sources. Query coordinates are pre-configured with information about external sources, allowing queries to be routed efficiently without time-consuming discovery or negotiation during actual query execution.
Solution Approach 2:
The query coordinator acts as an intermediary that optimizes the communication between search process masters and external data sources. It batches queries, manages connection pools, and coordinates result collection, thereby reducing the overall time penalty associated with accessing external data sources.
Data Source
AI summary
Systems and methods are disclosed for generating a user interface to enable identification of one or more pivot identifiers and one or more step identifiers. The system executes a query on events having raw machine data associated with a timestamp and obtains fields associated with the events. The system further populates a graphical user interface with field identifiers associated with the obtained fields and enables identification of one or more fields as one or more pivot identifiers and one or more step identifiers.