Query Compiler Translating Worksheet State to Database Query
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Solution Overview
Problem
Modern businesses face challenges in manipulating and querying large datasets stored in cloud-based data warehouses, as constructing complex queries often exceeds the capabilities of most users.
Innovation Solution
A query compiler system that receives a state specification from a graphical user interface, converts it into a database query by determining the order of operations, and sends the query to the data warehouse, utilizing abstract syntax trees, canonicalization, and worksheet algebra to generate a structured query language statement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users directly construct complex database queries using SQL, then query functionality and flexibility are improved, but user capability requirements and system accessibility deteriorate
Solution Approach 1:
The patent introduces a query compiler as an intermediary component that translates natural language or simplified query expressions into complex SQL statements. This mediator handles the complexity of query construction internally while presenting a simplified interface to users, thereby maintaining query functionality without requiring advanced user expertise in SQL syntax and database operations.
2Reliability
If a query compiler converts state specifications into database queries through multiple transformation stages, then query accuracy and reliability are improved, but processing time and system complexity worsen
Solution Approach 1:
The query compiler performs preliminary actions by pre-compiling and caching commonly used query patterns and transformation rules. When processing new queries, the system can leverage these pre-computed intermediates and reusable components, reducing the time required for multi-stage transformations while maintaining query accuracy through the established compilation pipeline.
3Adaptability or versatility
If the system uses intermediate representations like abstract syntax trees and worksheet algebra, then query transformation capability and versatility are improved, but device complexity worsens
Solution Approach 1:
The patent segments the query compilation process into distinct modular stages, each handling a specific transformation task (e.g., parsing, abstract syntax tree construction, worksheet algebra conversion, SQL generation). This segmentation allows the system to manage complexity by organizing functions into independent, reusable modules while maintaining high transformation capability through the structured pipeline of intermediate representations.
Data Source
AI summary
Compiling a database query including receiving, by a query compiler from a client computing system, a state specification of a graphical user interface comprising a worksheet, wherein the worksheet is a presentation of a data set from a data warehouse; converting, by the query compiler, the state specification into a database query including determining a first order of operations for elements within the state specification; and sending the database query to the data warehouse.