Data Intake Query System Scalable Distributed Search
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Solution Overview
Problem
Current data intake and query systems face challenges in seamlessly searching and analyzing diverse data types from various data sources, as their capabilities are often limited to internal data stores, and processing flows are unidirectional, preventing comprehensive search and analysis across external data systems.
Innovation Solution
A data intake and query system is developed that utilizes 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 search and analytics operations across internal and external data sources, including MySQL, PostgreSQL, NoSQL data stores, cloud storage, and Hadoop distributed file systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is pre-processed and stored in internal data stores, then data retrieval and analysis efficiency is improved, but data flexibility and comprehensiveness deteriorate because only a fraction of generated data can be analyzed
Solution Approach 1:
The system segments data handling into two paths: pre-processed data stored in internal data stores for efficient retrieval, and raw data accessible from external data systems for comprehensive analysis. This segmentation allows both efficiency and flexibility to coexist by assigning different data types to different storage locations based on their usage requirements.
2Adaptability or versatility
If storage capacity is increased to store raw data, then data flexibility and comprehensiveness are improved, but system complexity and data management difficulty increase
Solution Approach 1:
The system introduces external data systems as intermediaries between the data intake and query system and the diverse data sources. These external systems handle the complexity of storing and managing raw data from multiple sources, while the core data intake and query system maintains its simplicity by querying these external systems through standardized interfaces.
3Adaptability or versatility
If search capabilities are extended to external data systems, then data comprehensiveness is improved, but system complexity and processing overhead increase
Solution Approach 1:
The system implements universal query capabilities that can search both internal data stores and external data systems through a unified interface. The query coordinator and distributed nodes are designed to handle multiple data sources with a single search mechanism, eliminating the need for separate search systems for different data locations and reducing overall system complexity.
4Productivity
If distributed nodes are added to process diverse data, then processing scalability is improved, but system complexity and coordination overhead increase
Solution Approach 1:
The query coordinator implements feedback mechanisms to monitor the status and performance of distributed nodes. Based on this feedback, the coordinator dynamically assigns queries to appropriate nodes, balances workloads, and handles failures. This feedback-driven coordination reduces the complexity of managing distributed nodes by providing automated control rather than requiring complex manual coordination protocols.
Data Source
AI summary
Systems and methods are disclosed for providing a multi-component application, including a first and second component. Functionality of the application may be modified by modification of the first component, potentially without requiring modification of the second component. However, some functionalities added to application may require modifications to both the first and second component. To maintain compatibility between components, the first component can be configured to detect versioning information of a second component, and adjust its functionality to disable functions unavailable due to lack of compatibility with a current version of the second component. The first component can notify an end user of any such lack of compatibility, and potentially instruct the end user in updating the second component.