Entity-Level Relationship Constraints for Flexible Graph Databases
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Solution Overview
Problem
Conventional graph databases restrict the use of the same edge label to define different multiplicity relationships between entities, limiting flexibility and scope, as they enforce global graph-level constraints that do not allow different types of the same label to have varying multiplicity.
Innovation Solution
A relationship constraint management server generates an entity configuration file based on user-defined information, allowing for the creation, update, and deletion of entities with varying multiplicity relationships by managing relationship constraints at a custom layer within the graph database, using a processor, memory, and communicator to handle operations and metadata retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If relationship constraints are enforced at the global graph level, then data consistency is maintained, but flexibility to define different multiplicity relationships with the same edge label is lost
Solution Approach 1:
The patent segments relationship constraints from the global graph level to the entity level by introducing entity configuration files. Each entity can have its own configuration file that specifies relationship constraints locally, allowing different multiplicity relationships (one-to-one, many-to-one, one-to-many) to be defined for the same edge label at different entity levels while maintaining data consistency through structured validation.
Solution Approach 2:
The patent applies local quality by allowing relationship constraints to be defined locally at each entity through entity configuration files rather than uniformly at the global graph level. This enables each entity to have customized relationship multiplicity definitions appropriate to its specific context, while the system maintains overall consistency through the structured configuration approach.
2Adaptability or versatility
If the same edge label is used to define different multiplicity relationships, then model expressiveness is improved, but constraint management complexity increases
Solution Approach 1:
The patent introduces entity configuration files as intermediary artifacts that manage the complexity of constraint definitions. These configuration files serve as a structured interface between the user and the graph database, allowing expressiveness in defining different multiplicity relationships while the system handles the complexity of constraint validation and enforcement automatically.
Solution Approach 2:
The patent manages constraint complexity by parameterizing relationship definitions through entity configuration files. Instead of hardcoding constraints, the system uses configurable parameters (edge labels, multiplicity types, entity types) that can be adjusted through configuration files, making constraint management more systematic and less complex.
Data Source
AI summary
Embodiment herein provides a method for managing relationship constraints associated with entities in a graph database. The method includes receiving, by a relationship constraint management server, a request to perform operation associated with entity and generating, by the relationship constraint management server, an entity configuration file based on the received information of the entity. The request comprises information of entity and, the entity configuration file includes a relationship constraint from a plurality of relationship constraints to be applied while performing the operation. The method includes retrieving, by the relationship constraint management server, metadata corresponding to relationship constraints from a constraint database based on the entity configuration file, and performing, by the relationship constraint management server, the operation associated with the entity based on the metadata corresponding to the relationship constraints and the information of the entity.