Query Translation Layer for Cross-Database SQL Compatibility
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Solution Overview
Problem
Existing database analytic tools are inefficient, costly, and require substantial configuration and training due to the incompatibility of different database software implementations, limiting their utility and accessibility of large data volumes.
Innovation Solution
Implementing a low-latency data access and analysis system with automated external data source interfacing that automatically generates data queries compatible with various database structures using database operation mapping configuration data, enabling seamless integration across different database systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated external data source interfacing is implemented, then data accessibility and efficiency are improved, but system complexity increases due to database operation mapping configuration
Solution Approach 1:
The patent introduces a query translation layer that acts as an intermediary between the user's first SQL dialect and the database's second SQL dialect. This translation layer automatically maps queries between different SQL dialects using mapping configuration data, eliminating the need for users to manually adapt queries to different database systems while maintaining data accessibility across diverse database platforms.
Solution Approach 2:
The system creates and maintains mapping configuration data that replicates the relationship between different SQL dialects for specific database operations. This mapping configuration serves as a copied representation of the dialect differences, allowing the system to translate queries automatically without requiring users to understand or manually configure each dialect variation.
2Reliability
If manual configuration and training are required for database analytic tools, then compatibility with specific database systems is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically detecting the database type and selecting the appropriate SQL dialect mapping configuration. The query translation layer autonomously translates user queries from the first SQL dialect to the second SQL dialect required by the specific database, eliminating the need for manual configuration or specialized training while ensuring reliable compatibility with the target database system.
Solution Approach 2:
The system dynamically changes the SQL dialect parameter based on the detected database type. The mapping configuration data stores multiple SQL dialect variations for different database systems, and the system automatically selects and applies the appropriate dialect parameters when connecting to a specific database, ensuring compatibility without requiring user intervention.
3Adaptability or versatility
If multiple software versions or plugins are developed for different database systems, then adaptability is improved, but device complexity and cost increase
Solution Approach 1:
The patent implements a universal query translation layer that handles multiple database systems through a single unified interface. The mapping configuration data contains SQL dialect mappings for various database systems (MySQL, PostgreSQL, Oracle, SQL Server, etc.), allowing the same core system to adapt to different database platforms without requiring separate software versions or plugins, thereby reducing overall system complexity while maintaining broad adaptability.
Data Source
AI summary
Generating a first data query in accordance with a first structured query language includes obtaining first results data responsive to execution of the first data query by a database system, determining that the first result data indicates that the database system is incompatible with the first data query, generating first database operation mapping configuration data, wherein the first database operation mapping configuration data includes first database operation definition data describing the database operation, obtaining second database operation mapping configuration data, wherein the second database operation mapping configuration data includes the first database operation mapping configuration data mapped to second database operation definition data describing the database operation in accordance with the second structured query language, generating a second data query, obtaining second results data responsive to execution of the second data query by the database system, outputting data representing the second results data.