Federated Graph Schema Layering for Complex API Integration
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Solution Overview
Problem
Existing federated graph systems with two layers struggle with complex data hierarchy schemes, leading to difficulties in API integration and management, resource-intensive error resolution, and potential integrity issues due to overlapping API structures.
Innovation Solution
A schema management system for federated graphs with at least three layers, enabling automatic merging of unit schemas into subgraph and supergraph schemas, with governance controls for deployment to different environments, reducing errors and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a two-layer federated graph system is used, then the system structure is simple, but it struggles with complex data hierarchy schemes leading to API integration difficulties and management challenges
Solution Approach 1:
The patent segments the federated graph system into three distinct layers: unit schemas (individual data sources), subgraph schemas (intermediate integration layer), and supergraph schemas (global integration layer). This segmentation allows each layer to handle specific aspects of data integration independently, making the system capable of managing complex data hierarchies while maintaining structural organization.
2Ease of operation
If manual API integration is performed in two-layer systems, then flexibility is maintained, but resource-intensive error resolution and integrity issues occur
Solution Approach 1:
The patent implements automated schema merging mechanisms where the system automatically detects, resolves, and integrates schemas across layers without requiring manual intervention. The automated error resolution system identifies conflicts between unit schemas and subgraph schemas, and between subgraph schemas and supergraph schemas, and resolves them through predefined rules and algorithms, thereby maintaining API integrity while reducing resource consumption.
3Ease of operation
If unit schemas are manually merged into subgraph and supergraph schemas, then control is maintained, but computing resources are consumed and errors increase
Solution Approach 1:
The patent performs preliminary schema validation and conflict detection before actual merging operations. The system pre-processes unit schemas to identify potential conflicts with existing subgraph schemas, and pre-validates subgraph schemas against supergraph schema requirements. This preliminary action prevents erroneous merges and reduces the need for iterative corrections, thereby conserving computing resources.
4Reliability
If automated schema merging is implemented, then errors are reduced and resources are conserved, but deployment verification across environments is required
Solution Approach 1:
The patent implements a feedback mechanism where the system deploys merged schemas to multiple environments (development, testing, production) and automatically verifies their correctness. Each deployment stage provides feedback on schema validity and performance, allowing the system to detect and correct issues before full production deployment. This feedback loop ensures high integration accuracy while managing verification complexity through systematic environmental progression.
Data Source
AI summary
Some implementations described herein relate to a system for schema management of a federated graph. The system may be configured to obtain unit information. The system may be configured to generate, based on the unit information, a unit schema. The system may be configured to identify, based on generating the unit schema, a particular subgraph schema, of a plurality of subgraph schemas, that is to include the unit schema. The system may be configured to cause the particular subgraph schema to include the unit schema. The system may be configured to cause, based on causing the particular subgraph schema to include the unit schema, a supergraph schema to include the particular subgraph schema.