API Version Testing via Query Schema Validation
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Solution Overview
Problem
Current data management systems face challenges in efficiently organizing, storing, and retrieving data in a hierarchical structure, particularly in social-networking systems, where relationships among data items are complex and privacy protection is essential, leading to difficulties in querying and retrieving specific data items while ensuring data integrity and security.
Innovation Solution
The implementation of hierarchical graphs with an Application Programming Interface (API) that allows querying and retrieving data items using a language with a hierarchical structure, incorporating query schemas for different API versions, and considering privacy protection to ensure authorized access and efficient data retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Shape
If data is organized in hierarchical graphs with complex relationships, then data organization capability is improved, but querying and retrieving specific data items becomes more difficult
Solution Approach 1:
The patent introduces an API as an intermediary layer between the complex hierarchical graph data structure and the user's query interface. The API provides standardized methods and parameters that simplify access to graph data, allowing users to query complex hierarchical relationships without directly navigating the underlying graph structure. This mediator handles the complexity of relationship traversal while presenting a simplified interface to users.
2Adaptability or versatility
If multiple API versions are supported for different query schemas, then system adaptability is improved, but system complexity increases
Solution Approach 1:
The patent segments the API into multiple distinct versions, each with its own query schema and parameter set. Instead of maintaining one complex monolithic API, the system divides functionality into separate versioned interfaces. This allows each API version to be independently designed and validated against specific query schemas, reducing the complexity burden on any single interface while maintaining overall system adaptability.
Solution Approach 2:
The patent implements preliminary validation of API versions and query schemas before execution. The system pre-defines valid API versions and their associated query schemas, allowing requests to be validated against known configurations before processing. This preliminary action prevents invalid combinations from reaching the execution layer, simplifying error handling and system state management.
3Reliability
If privacy protection mechanisms are implemented for authorized access, then data security is improved, but data retrieval efficiency decreases
Solution Approach 1:
The patent implements preliminary authentication and authorization checks as part of the API interface definition. User credentials, permissions, and access rights are validated before query execution begins. By performing these security checks upfront as part of the API contract validation, the system avoids repeated security verification during query execution, minimizing the performance overhead of privacy protection mechanisms.
Data Source
AI summary
In one embodiment, a method includes storing one or more first schemas associated with a first version of an Application Programming Interface (API), the API being used for retrieving data items stored in one or more hierarchical graphs, the first schemas comprise one or more definitions of one or more data types to which the data items belong; forming one or more second schemas associated with a second version of the API; and validating the second version of the API by comparing the second query schemas with the first query schemas.