Queued Data Identifier Retrieval for External Search Nodes
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Solution Overview
Problem
Analyzing and searching massive quantities of machine data from diverse sources is challenging due to the variety of data types and formats, which can be time-consuming and inefficient with conventional pre-processing methods, leading to discarded data and limited analysis flexibility.
Innovation Solution
An event-based data intake and query system with a late-binding schema that processes and stores minimally processed machine data, enabling flexible schema development and field-searchable events for real-time analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional pre-processing methods are used to reduce data volume, then data storage requirements are reduced, but data analysis flexibility is lost and valuable information may be discarded
Solution Approach 1:
The system performs preliminary indexing actions on raw data without complete pre-processing. Event identifiers are extracted and indexed in advance, allowing the data to be stored in reduced form while maintaining searchability through the index structure. This enables flexible analysis later without requiring the original complete data to be retained.
Solution Approach 2:
The system extracts only the essential event identifiers and key metadata from the raw data for indexing purposes, while the complete raw data is stored separately. This extraction allows the system to work with a smaller indexed dataset for search operations while preserving access to the full data when needed, thus reducing storage requirements for active processing while maintaining analysis flexibility.
2Adaptability or versatility
If massive quantities of raw data are stored for later retrieval, then data analysis flexibility is improved, but search and analysis performance deteriorates due to data volume
Solution Approach 1:
The system segments data into two distinct components: an indexed segment containing event identifiers and metadata for rapid search operations, and a raw data segment stored for complete analysis flexibility. The segmentation allows search operations to work efficiently on the smaller indexed portion while the complete raw data remains available when needed, thus maintaining both performance and flexibility.
Solution Approach 2:
The event identifier index acts as an intermediary between the search functionality and the raw data storage. Instead of searching through all raw data directly, the system uses the index as a mediator to quickly locate relevant events, then retrieves only those specific events from raw data storage for detailed analysis. This intermediary structure dramatically improves search performance while preserving full access to raw data.
3Speed
If complete pre-processing of diverse data types is performed, then data retrieval efficiency is improved, but processing time increases and data diversity is lost
Solution Approach 1:
The system performs preliminary extraction of event identifiers and basic metadata without completing full data processing. This preliminary action prepares the data for efficient retrieval by creating the index structure, but avoids the time-consuming complete pre-processing of all data fields. The remaining processing is deferred to when data is actually needed, thus improving retrieval efficiency while minimizing pre-processing time investment.
Data Source
AI summary
A computing device can receive a query that identifies a set of data to be processed and determine that a portion of the set of data resides in an external data system. The query system can request data identifiers associated with data objects of the set of data from the external data system and communicate the data identifiers to a data queue. The computing device can instruct one or more search nodes to retrieve the identifiers from the data queue. The search nodes can use the data identifiers to retrieve data objects from the external data system and process the data objects according to instructions received from the computing device. The search nodes can provide results of the processing to the computing device.