Database Configuration Transport with Dependency Handling
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Solution Overview
Problem
Conventional database systems lack an efficient mechanism for transporting configuration settings between tenants in a multi-tenant architecture, often requiring manual processes or specialized software, and fail to account for entity dependencies, which can render transported entities unusable or suboptimal in the target tenant.
Innovation Solution
A transport framework that identifies and automatically adds dependent entities to the transport request, allowing users to propose additional entities based on mandatory and optional dependencies, ensuring seamless functionality in the target tenant.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional transport mechanisms are used to transport configuration settings between tenants, then the transport process requires manual intervention or specialized software, but this increases the complexity and time required for the transport operation
Solution Approach 1:
The transport mechanism is segmented into distinct functional components: a transport framework that manages the overall process, an entity provider that supplies configuration entities, and a dependency manager that handles relationship analysis. This segmentation allows each component to specialize in specific tasks, reducing overall system complexity while improving ease of operation.
Solution Approach 2:
The patent introduces intermediary components including a transport request object that mediates between the user and the transport framework, and a dependency manager that acts as an intermediary between entities to analyze and resolve relationships. These intermediaries simplify the user interface and abstract complex transport logic.
2Productivity
If configuration entities are transported without considering dependencies, then the transport process is simpler and faster, but the transported entities may become unusable or suboptimal in the target tenant
Solution Approach 1:
The dependency analysis is performed as a preliminary action before the actual transport operation. The dependency manager analyzes entity relationships and identifies required dependencies in advance, allowing the transport framework to pre-assemble a complete transport package. This preliminary analysis ensures reliability while maintaining efficiency by avoiding post-transport corrections.
Solution Approach 2:
The system implements feedback mechanisms where the dependency manager continuously analyzes entity relationships during the transport process, and the transport framework adjusts the transport package based on this feedback. User feedback through the interface also allows selection of optional dependencies, creating a responsive system that balances speed and reliability.
3Reliability
If all possible dependent entities are automatically included in the transport request, then the completeness of the transport is improved, but the user loses control over which entities are transported
Solution Approach 1:
The transport request system is made dynamic, allowing users to modify the initially generated transport package. Users can add or remove entities from the request through the interface, and the system dynamically recalculates dependencies and updates the transport package accordingly. This dynamic approach maintains both completeness and user control.
Solution Approach 2:
The system generates a complete transport package with all mandatory dependencies automatically included, then allows users to selectively remove entities if desired. This approach of providing excessive options (all possible entities) and allowing user reduction ensures completeness by default while maintaining user control when needed.
Data Source
AI summary
Systems and methods include reception of an indication of a first data object to transmit from a first database tenant to a second database tenant, the first data object comprising user configuration settings metadata of a database application and associated with a first data object type, determination of whether a dependent data object may be associated with a data object of the first data object type, determination, if it is determined that a dependent data object may be associated with a data object of the first data object type, of whether a dependent object is dependent on the first data object, and automatic determination, if it is determined that a dependent object is dependent on the first data object, to transmit the dependent object from the first database tenant to the second database tenant.