Automated Post-Import Configuration via Dynamic WHERE Clauses
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing software change processes require inefficient and error-prone individual coding for configuration changes after importing objects into a production system, often leading to forgotten, wrongly implemented, or inconsistently implemented requirements.
Innovation Solution
The execution of programs after import (XPRA) system generates and executes objects based on database table definitions, receives user-configured metadata via a configuration interface, and automatically replaces old data values with new ones using dynamically generated WHERE clauses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If individual coding is used for software changes, then flexibility in implementing changes is improved, but error rate and implementation consistency deteriorate
Solution Approach 1:
The system enables self-service configuration changes through automated program generation and execution. The configuration system automatically generates and executes programs based on user-defined parameters, eliminating manual coding while maintaining flexibility through configurable options.
Solution Approach 2:
An automated configuration system acts as an intermediary between user requirements and system changes. This mediator automatically translates configuration parameters into executable programs, ensuring consistent and error-free implementation while maintaining adaptability through configurable options.
2Adaptability or versatility
If manual configuration changes are implemented, then customization capability is improved, but time consumption and efficiency deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-defining configuration templates and parameters. Users configure changes once, and the system automatically generates and executes the necessary programs, eliminating repetitive manual work while maintaining full customization capability.
Solution Approach 2:
The system enables customization through parameter changes rather than manual coding. Users modify configuration parameters and metadata, and the system automatically translates these parameter changes into executable programs, dramatically improving efficiency while maintaining adaptability.
3Reliability
If automated program generation is implemented, then implementation consistency is improved, but system complexity deteriorates
Solution Approach 1:
The configuration system is segmented into modular components: parameter definition modules, program generation modules, and execution control modules. This segmentation manages system complexity by organizing functions into discrete, manageable units while maintaining implementation consistency through automated workflows.
Solution Approach 2:
The configuration system serves multiple functions: defining parameters, generating programs, executing changes, and managing metadata. This multi-functionality consolidates what would otherwise require separate complex systems into a single unified platform, managing overall system complexity while ensuring consistent implementation.
Data Source
AI summary
Arrangements for execution of programs after import for configuration changes are provided. One or more execution of programs after import objects may be generated based on one or more database table definitions. Metadata configured by a user via a configuration interface of a user device may be received. The metadata may be associated with an update to at least a portion of data included in one or more data structures stored in one or more database systems. An execution of programs after import object associated with the update may be executed by identifying a scenario associated with the update, generating a WHERE clause including one or more conditions associated with the identified scenario, executing the WHERE clause, and automatically replacing, based on the received metadata, an old data value with a new data value.