Universal Query Translation Layer for Multi-Database Interoperability
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Solution Overview
Problem
Existing data processing systems struggle to efficiently translate, validate, and represent data across different applications and databases, particularly due to the lack of a uniform syntax for SQL queries that can be executed across various relational database management systems (RDBMS).
Innovation Solution
The data processing system enables users to generate non-application specific MvSQL statements, which can be uniformly written and transformed into application-specific statements or commands, allowing access to web services, databases, and other systems. These statements can be executed on both in-memory data and persistently stored data, with the system capable of validating data on a user interface and in a database using the same SQL queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple application-specific SQL syntaxes are used for different RDBMS, then compatibility with specific database systems is improved, but system complexity and maintenance cost increase
Solution Approach 1:
The patent implements a universal query translation layer that allows a single standardized SQL query to be executed across multiple different RDBMS platforms. The system provides multi-functionality by supporting various database systems (Oracle, SQL Server, DB2, MySQL) through a common interface, eliminating the need to write and maintain separate application-specific SQL syntax for each database vendor.
Solution Approach 2:
The patent introduces an intermediary query translation component that sits between the application layer and the database layer. This mediator translates standardized SQL queries into application-specific syntax suitable for the target RDBMS, thereby reducing system complexity while maintaining compatibility with multiple database systems.
2Reliability
If data validation is performed separately for user interface and database, then data integrity at each layer is improved, but development and maintenance effort increases
Solution Approach 1:
The patent enables the same standardized SQL query to serve multiple functions: both validating data at the user interface level and validating data at the database level. This multi-functionality allows a single validation logic to be reused across different layers, improving data integrity while reducing development and maintenance effort.
Solution Approach 2:
The patent merges the data validation functionality for both user interface and database into a unified approach using standardized SQL queries. Instead of maintaining separate validation routines for each layer, the system combines them into a single validation mechanism that operates at multiple levels, thereby reducing overall development and maintenance effort.
3Productivity
If proprietary SQL syntax is used for each RDBMS vendor, then optimal performance for specific database systems is improved, but interoperability and portability decrease
Solution Approach 1:
The patent introduces an intermediary translation layer that converts standardized SQL queries into vendor-specific syntax optimized for each RDBMS platform. This mediator maintains interoperability and portability by allowing a single standardized query to be used across different systems, while still enabling optimal performance for each specific database vendor through targeted syntax translation.
Solution Approach 2:
The patent segments the SQL processing into two distinct layers: a standardized query formulation layer that ensures portability, and a vendor-specific syntax translation layer that optimizes performance. This segmentation allows the system to maintain both interoperability through the standardized layer and optimal performance through the segmented vendor-specific translation layer.
Data Source
AI summary
The data processing system described in this specification enables a user to generate non-application specific statements for controlling execution of an application that executes on a user device (client device). The application can include a browser. The statements can be written to control behavior of a webpage or application at the user. The data processing system enables a user to provide non-application specific statements, such as SQL queries or commands. These non-application specific commands are uniform in syntax an enable the user to access other systems, such as web services, databases, and so forth, using the commands with a uniform syntax.


