GraphQL Management Layer Pre-Execution Policy Enforcement
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Solution Overview
Problem
Managing GraphQL interfaces is complex due to the need to enforce rate limits and access controls, as these depend on query complexity and resource access, which can only be determined during query execution, differing from traditional REST APIs.
Innovation Solution
A dedicated GraphQL management layer assesses query characteristics before execution to ensure compliance with provider-defined policies, preventing execution if policies are not met and updating rate limits based on response data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If query assessment is performed during execution to enforce rate limits and access controls, then policy compliance is ensured, but processor cycles are consumed and execution time increases
Solution Approach 1:
The management layer performs query assessment before execution by extracting characteristics from the query structure and comparing them against policy thresholds. This preliminary action determines whether to permit or prevent execution, avoiding wasted processor cycles on non-compliant queries and ensuring policy compliance is enforced without runtime overhead.
2Loss of energy
If query characteristics are extracted and assessed before execution, then resource consumption is prevented, but additional processing steps are required
Solution Approach 1:
A dedicated management layer acts as an intermediary between the client and GraphQL server. This layer extracts query characteristics, assesses them against policies, and makes permit/prevent decisions. By placing this intermediary layer, the complexity of resource management is separated from the core GraphQL execution engine, allowing resource consumption to be controlled without making the server itself more complex.
Solution Approach 2:
The system segments query management into distinct components: query extraction, characteristic assessment, policy comparison, and execution control. This segmentation allows each component to be optimized independently and makes the overall system more manageable despite the added complexity of pre-execution assessment.
3Measurement precision
If rate limits depend on query complexity rather than query count, then more accurate resource control is achieved, but complexity calculation during execution increases processing overhead
Solution Approach 1:
Query complexity is calculated in advance during the assessment phase, before execution begins. The management layer extracts characteristics from the query structure and computes complexity metrics upfront. This preliminary calculation provides accurate rate limiting based on actual query complexity while avoiding repeated complexity calculations during execution, thus maintaining both precision and performance.
4Reliability
If access controls depend on resources affected by queries, then fine-grained security is achieved, but resource identification during execution increases complexity
Solution Approach 1:
The management layer serves as an intermediary that identifies resources affected by queries before execution. By extracting and analyzing query characteristics in advance, the management layer determines which resources will be accessed and applies appropriate access controls. This approach achieves fine-grained security without requiring the GraphQL server to perform complex resource identification during execution.
Data Source
AI summary
Aspects of the invention include assessing, by a management layer executing on a first processor, a query from a client application requesting data from a server. The assessing occurs prior to the query being executed by a provider. The assessing includes extracting, by the management layer, characteristics of the query. The management layer compares the extracted query characteristics with a policy defined by the provider. Based at least in part on results of the comparing, it is determined by the management layer whether the query is permitted to be executed by the provider at the server. The management layer initiates execution of the query at the server in response to determining that the query is permitted to be executed. The management layer prevents execution of the query at the server in response to determining that the query is not permitted to be executed.