Late-Binding Schema for Machine Data Query Systems
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Solution Overview
Problem
Analyzing and searching massive quantities of diverse machine data generated from various sources, such as system logs, network packets, and sensors, is challenging due to the vast amount of data and its unstructured nature, leading to inefficiencies in data retrieval and analysis.
Innovation Solution
A data intake and query system that uses a late-binding schema to process and store machine data as events, allowing for flexible schema definition and extraction rules application at search time, enabling field-searchability and efficient querying across disparate data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If massive quantities of diverse machine data are stored for later retrieval and analysis, then data flexibility and analysis capability are improved, but data retrieval and search efficiency deteriorate
Solution Approach 1:
The patent applies preliminary action by extracting and storing field names and extraction rules from raw machine data during the data ingestion phase, before any search or analysis operations are performed. This pre-processing creates a searchable index structure that enables efficient retrieval later without requiring full schema definition or complex parsing at query time, thus resolving the contradiction between storing diverse data and maintaining retrieval efficiency
2Productivity
If preprocessing is applied to reduce data volume based on anticipated analysis needs, then data retrieval efficiency is improved, but data flexibility and ability to analyze all generated data deteriorate
Solution Approach 1:
The patent applies partial action by selectively extracting only the field names and extraction rules from raw machine data during preprocessing, rather than fully processing or filtering the entire dataset. This partial pre-processing creates an efficient index structure while preserving the complete raw data for later flexible analysis, resolving the contradiction between retrieval efficiency and data flexibility
3Productivity
If schema definition and extraction rules are applied at data ingestion time, then data retrieval efficiency is improved, but adaptability to different data sources and analysis needs deteriorates
Solution Approach 1:
The patent applies dynamics by making the schema definition and extraction rules dynamic rather than static. Instead of requiring fixed schema definitions at data ingestion time, the system extracts and stores field names and extraction rules that can be dynamically applied and modified at search time based on specific analysis needs and different data sources, thus resolving the contradiction between retrieval efficiency and schema flexibility
Data Source
AI summary
A control plane system can be used to manage or generated components in a shared computing resource environment. To generate a modified components, the control plane system can receive receiving configurations of a component. The configurations can include software versions and/or parameters for the component. Using the configurations, the control plane system can generate an image of a modified component, and communicate the image to a master node in the shared computing resource environment. The master node can provides one or more instances of the modified component for use based on the received image.