Database Object Deployment Execution Order
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Solution Overview
Problem
The deployment of database objects in business process applications is complex, involving multiple aspects like version control, lifecycle management, and dependency management, which hinders efficient implementation of database systems and requires a simplified transactional all-or-nothing deployment model.
Innovation Solution
A method for deploying database objects that includes defining file artifacts, determining dependencies, generating an execution order, and deploying them accordingly, with features like undeploying, modifying, and re-deploying artifacts, while ensuring cyclic dependencies are managed and permissions are correctly granted, using a transactional all-or-nothing approach and container-based isolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional deployment methods are used for database objects, then version control and lifecycle management can be achieved, but the deployment process becomes complicated and inefficient
Solution Approach 1:
The patent segments the deployment process into distinct phases: design-time object creation, packaging into deployment units, and runtime deployment. This segmentation separates complex version control and lifecycle management tasks from the core deployment operation, reducing perceived complexity while maintaining reliability through structured processes.
Solution Approach 2:
The patent performs preliminary actions by creating and validating database objects at design-time before deployment. Objects are pre-packaged with metadata and dependencies resolved in advance, so that runtime deployment becomes a simpler execution of pre-planned actions, reducing complexity while ensuring version control.
2Reliability
If comprehensive dependency management is implemented for database objects, then deployment reliability is improved, but the deployment process becomes more complex
Solution Approach 1:
The patent implements feedback mechanisms where the deployment system automatically analyzes object dependencies, detects conflicts, and adjusts deployment plans accordingly. This automated feedback loop ensures deployment consistency while reducing the apparent complexity by handling dependency management transparently without requiring manual intervention.
Solution Approach 2:
The patent introduces an intermediary deployment framework that sits between the developer and the database system. This intermediary automatically manages dependency resolution, conflict detection, and deployment sequencing, shielding users from complexity while ensuring reliable deployment through systematic dependency management.
3Adaptability or versatility
If traditional artifact deployment is used, then flexibility in deployment is maintained, but deployment efficiency and speed are reduced
Solution Approach 1:
The patent performs preliminary packaging and validation of database objects into deployment units at design-time. This pre-preparation enables rapid deployment at runtime since the heavy lifting of validation and dependency resolution has already been completed, significantly improving deployment efficiency while maintaining flexibility through the modular unit structure.
Solution Approach 2:
The patent implements dynamic deployment capabilities where the system can adapt deployment strategies based on the specific context, such as selecting between full deployment and incremental updates. This dynamic approach maintains flexibility for different scenarios while optimizing for efficiency in each case through automated decision-making.
Data Source
AI summary
A system, a method, and a computer program product for deploying of objects are disclosed. At least one file containing a plurality of artifacts for deploying during runtime of an application is defined. Each artifact in the plurality of artifacts includes at least one object in the plurality of objects required to be deployed during runtime of the application. At least one dependency for at least one artifact in the plurality of artifacts is determined. An execution order for deployment of the plurality of artifacts is generated. The plurality of artifacts is deployed in accordance with the generated execution order.