Control Circuit for Automated SQL Message Conversion
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Solution Overview
Problem
Relational databases are challenging for non-expert users to update or query effectively due to the complexity of Structured Query Language (SQL), making it impractical for routine inquiries in multi-store retail settings without constant SQL expert availability or extensive user training, especially when multiple SQL-based databases are involved.
Innovation Solution
A control circuit that converts human-readable text data into SQL messages, allowing for automatic database updates across multiple SQL databases, using a data-independent format like JSON, and facilitating real-time data transport with reduced failure points and no need for users to establish database connections or store credentials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If SQL is used for database queries and updates, then data management capability is improved, but user accessibility deteriorates due to syntax complexity
Solution Approach 1:
The patent introduces a natural language processing intermediary layer that translates user-friendly natural language queries into SQL statements. This mediator handles the complexity of SQL syntax internally while presenting a simplified interface to users, resolving the contradiction between maintaining powerful data management capabilities and improving user accessibility.
Solution Approach 2:
The system creates a simplified copy or abstraction of the database interface that mirrors the underlying SQL functionality but presents it in a more accessible format. By copying the essential data management capabilities through a simplified interface layer, users can interact with databases without needing to learn complex SQL syntax.
2Adaptability or versatility
If multiple SQL databases are deployed, then data storage capacity and flexibility are improved, but system complexity increases
Solution Approach 1:
The patent implements a universal natural language interface that can query and update multiple different SQL databases through a single unified system. This multi-functional approach allows the same interface to work across diverse database systems, managing complexity centrally rather than requiring separate interfaces for each database.
Solution Approach 2:
The natural language processing system serves as an intermediary that abstracts away the complexities of multiple database systems. It handles database connection management, credential storage, and query routing internally, allowing users to interact with multiple databases without directly managing the underlying complexity.
3Speed
If users directly connect to databases, then data access speed is improved, but security risk increases due to credential storage requirements
Solution Approach 1:
The patent introduces a secure intermediary layer that manages all database connections and credentials centrally. This mediator maintains secure credential storage and manages authentication internally, allowing users to access databases quickly through the intermediary without directly handling sensitive credentials, thus maintaining both speed and security.
4Measurement precision
If SQL expert availability is ensured, then query accuracy is improved, but operational cost increases
Solution Approach 1:
The patent implements a self-service system where the natural language processing interface automatically translates and optimizes queries without requiring human SQL experts. The system handles query accuracy internally through automated translation and optimization algorithms, eliminating the need for expensive expert intervention while maintaining high query accuracy.
Data Source
AI summary
A control circuit receives from a message source via a network interface a database-update message having at least one data object in a data-independent data format comprising human-readable text. The control circuit then automatically converts that data object into a structured query language (SQL) message. Upon then selecting at least one of a plurality of candidate SQL databases to provide a selected SQL database, the control circuit transmits the SQL message to the selected SQL database.