Deconstructed Cloud Database Query Management
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Solution Overview
Problem
Modern businesses face challenges in managing complex database queries in cloud-based data warehouses, as most users lack the ability to construct such queries effectively.
Innovation Solution
A deconstructed cloud database system that receives state specifications from a client computing system, converts them into query plans targeting an offloaded execution engine, retrieves query results, and presents them back to the client, utilizing a communications manager, query optimizer, dispatcher, and offloaded execution engine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users directly construct complex database queries in cloud-based data warehouses, then query functionality is available, but usability deteriorates because most users lack the ability to construct such queries effectively
Solution Approach 1:
The patent introduces an intermediary layer between the user and the cloud database that translates natural language or simplified requests into complex SQL queries. This intermediary handles the complexity of query construction while presenting a simple interface to users, thereby improving usability without sacrificing query capability.
Solution Approach 2:
The system segments the complex query construction process into manageable components, allowing users to build queries through step-by-step selection of data sources, filters, and operations rather than writing complete SQL statements. This segmentation makes complex database operations accessible to non-technical users.
2Productivity
If a deconstructed cloud database system is implemented with multiple components (communications manager, query optimizer, dispatcher, offloaded execution engine), then system efficiency is improved, but device complexity increases
Solution Approach 1:
The database system is segmented into distinct functional modules: a communications manager for handling user interactions, a query optimizer for generating efficient query plans, a dispatcher for coordinating operations, and an offloaded execution engine for processing queries. This segmentation allows each component to be optimized independently, improving overall system efficiency while managing complexity through modular design.
Solution Approach 2:
The execution engine is extracted and offloaded to a separate system or service, allowing the main database system to focus on query optimization and user interface management. This extraction improves system efficiency by enabling specialized processing while reducing the complexity burden on the core system.
Data Source
AI summary
Managing database queries using a deconstructed cloud database including receiving, by a communications manager of the deconstructed cloud database, a state specification from a client computing system; converting, by a query optimizer of the deconstructed cloud database, the state specification into a query plan comprising a database query targeting an offloaded execution engine; retrieving, by a dispatcher of the deconstructed cloud database, query results from the offloaded execution engine using the database query; and presenting, by the communications manager, the query results to the client computing system.