Centralized Validation Framework Reduces Code Duplication
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Solution Overview
Problem
Existing data validation systems face challenges in minimizing code duplication across different technology stacks and layers, leading to increased complexity, cost, and time in development and deployment, with no easy way to control the order and timing of validations.
Innovation Solution
A scalable data validation architecture that provides a standardized flow for performing data validation, minimizes duplicate code, and allows easy creation of new validations by using a centralized validation framework with a single entry point and standardized methods for passing entity attributes, enabling bulk validation and flexible validation processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data validation is performed at multiple different points across distributed systems using different technology stacks, then data can be validated in appropriate contexts (client-side, server-side, import programs), but code duplication increases and maintenance complexity increases
Solution Approach 1:
The patent creates a universal validation framework that can be called from multiple technology stacks (Java, PL/SQL, import programs) through a common interface. The validation logic is centralized in a single location that can be invoked by different applications and technology layers, eliminating the need to maintain separate validation code in each stack while preserving the ability to validate data at multiple points in the system.
Solution Approach 2:
The patent introduces a validation framework as an intermediary layer between different technology stacks and the underlying validation logic. This framework provides standardized methods and interfaces that mediate between diverse calling contexts (client applications, server-side code, import programs) and the core validation routines, allowing validation to be performed consistently across different platforms without duplicating code.
2Ease of manufacture
If separate validation modules are created for each technology stack (Java, PL/SQL), then each can be optimized for its specific platform, but development cost and maintenance time increase
Solution Approach 1:
The validation framework is designed to be technology-agnostic, providing a single set of validation routines that can be invoked from Java, PL/SQL, and import programs through standardized interfaces. This universal approach eliminates the need to develop and maintain separate validation modules for each technology stack, significantly reducing development and maintenance time while still allowing each platform to call validations in its native context.
Solution Approach 2:
The patent merges the validation logic from multiple technology stacks into a single centralized validation module. Instead of maintaining separate validation code in Java, PL/SQL, and import programs, all validation logic is consolidated into one location that can be called by any technology stack, reducing redundant code and streamlining maintenance efforts.
3Reliability
If validations are performed at both client-side and server-side, then data can be validated early (client-side) and with strict rules (server-side), but the system complexity and coordination overhead increase
Solution Approach 1:
The validation framework is segmented into multiple layers that can be invoked at different points in the system architecture. Client-side applications can call validations for immediate feedback, while server-side code can invoke the same validation framework for final validation before data is committed. This segmentation allows validation to occur at multiple levels without creating a monolithic complex system, as each layer uses the same standardized interface.
Solution Approach 2:
The same universal validation framework serves both client-side and server-side validation needs, providing consistency across the system. The framework can be called from client applications for early validation and from server code for final validation, eliminating the need to maintain separate validation logic for each layer and reducing system complexity through code reuse.
4Adaptability or versatility
If there is no standardized flow for validation, then flexibility in implementation is maintained, but the order and timing of validations cannot be easily controlled
Solution Approach 1:
The validation framework provides dynamic control over the order and timing of validations through standardized methods that can be called in sequence. The framework allows validations to be executed in a controlled manner with defined entry points and flow, enabling the system to determine the optimal timing and order of validations based on the specific context (client-side, server-side, import program) while maintaining implementation flexibility through the standardized interface.
Data Source
AI summary
A data validation architecture is provided that minimizes duplicate code and enables easy creation of new validations using a high-performance and scalable design. Such an architecture provides sufficient flexibility to disable certain validations when they are not applicable to the flow, interpret validation failures differently according to requirements of the calling application, and specify the type of document for which a particular validation is applicable. The architecture provides a standardized flow for performing data validation, specifying a set of required parameters for validation subroutines, as well as where validation results are to be stored for access by a calling program. Such an architecture also provides a framework for performing common processing required for most validation flows without restricting the flexibility of the validation subroutines.