Subquery Conversion for External Data Systems
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Solution Overview
Problem
Current data intake and query systems face challenges in seamlessly searching and analyzing large sets of diverse data from various sources, including external data systems, due to limited scope and unidirectional processing flows, which restricts the ability to route data to different destinations and integrate insights from diverse data types.
Innovation Solution
A data intake and query system with a search process master and query coordinators, combined with a scalable network of distributed nodes, enables comprehensive search and analytics across diverse data systems, extending processing capabilities to include external data sources, common storage, and ingested data buffers, and leveraging computing assets from anywhere.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a data intake and query system searches and analyzes data from multiple diverse data sources, then the scope of data analysis is improved, but the system complexity increases
Solution Approach 1:
The patent introduces an intermediary layer that translates between the data intake and query system's native query language and the external data system's SQL dialect. This mediator handles query conversion, result harmonization, and data integration without requiring fundamental changes to either system, thereby expanding data analysis scope while managing system complexity through abstraction.
2Adaptability or versatility
If the system integrates external data systems with internal data processing, then the diversity of data types is improved, but the processing flow complexity increases
Solution Approach 1:
The patent implements a universal query processing architecture that can handle both internal data sources and external data systems through a common interface. The system maintains a unified data model that accommodates diverse data types from multiple sources while using standardized processing flows, allowing the same infrastructure to serve multiple data sources without requiring source-specific processing paths.
3Adaptability or versatility
If the system converts subqueries to external data system queries, then the query capability is improved, but the conversion complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-compiling and caching query translation rules and data type mappings between the internal system and external data systems. This upfront preparation work stores commonly used query patterns and their external equivalents, allowing the system to quickly convert subqueries without performing complex real-time transformations, thus improving query capability while reducing conversion complexity during execution.
Data Source
AI summary
Systems and methods are disclosed for receiving, at a data intake and query system, a query that includes a subquery that is to be executed at an external data system that supports a different query language than the data intake and query system. The data intake and query system converts the subquery from the query language supported by the external data system to the query language supported by the data intake and query system. The data intake and query system then processes the query including the translated subquery. The translated subquery is then translated back to the language supported by the external data system including any processing or optimizations performed with respect to the subquery.