Template-Driven Type Conversion Utility for Stored Procedures
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Solution Overview
Problem
Current software applications face challenges in automatically publishing stored procedures and performing type and mode conversions between different programming languages and interfaces, leading to time-consuming and error-prone manual coding processes.
Innovation Solution
A template-driven type and mode conversion utility that accesses templates to direct parameter conversions, enabling flexible and efficient publishing of procedures by mapping different type and mode representations across various programming languages and interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual coding is used to create interfaces for accessing stored procedures, then the interfaces can be customized to match specific requirements, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system performs self-service by automatically generating interface code based on stored procedure metadata. The code generator examines the stored procedure definition, extracts parameter information, and autonomously creates the necessary Java interface code without requiring manual programming, thus eliminating time loss while maintaining accuracy through automated validation
Solution Approach 2:
The patent replaces the mechanical process of manual coding with an automated computational system. The code generator uses algorithms to parse stored procedure metadata, transform it into interface definitions, and generate complete Java code, substituting the mechanical act of writing code by hand with an automated information processing system
2Productivity
If automatic code generation is implemented, then coding time is reduced, but the complexity of the system increases
Solution Approach 1:
The system segments the complex task of interface generation into distinct manageable phases: metadata extraction from stored procedure definitions, parameter type analysis, code template selection, and code generation. This segmentation allows the complex system to operate through simple, well-defined steps, reducing perceived complexity while maintaining high productivity
Solution Approach 2:
The code generator handles complexity by dynamically adjusting parameters such as data types, mode mappings, and code templates based on the specific stored procedure being processed. By changing parameters rather than handling every possible case with complex logic, the system maintains simplicity while adapting to different scenarios efficiently
3Adaptability or versatility
If type and mode conversions are performed automatically, then interoperability between different systems is improved, but the difficulty of detecting and measuring conversion accuracy increases
Solution Approach 1:
The system implements feedback mechanisms where the code generator validates conversion accuracy by comparing source and target parameter definitions, checking type compatibility, and verifying mode mappings. This feedback loop ensures interoperability while making detection of conversion errors straightforward through automated validation rather than difficult manual inspection
Data Source
AI summary
Techniques for providing type (and/or mode) conversion of parameters for software applications are provided. In general, a type conversion utility accesses a template that defines type and mode conversions for parameters between different components. The type conversion utility utilizes information stored in the template for that direct how the parameters will be converted. Additionally, techniques are provided for returning output values.


