Result State Tokens for Multi-Interface Pagination Aggregation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Cloud-based infrastructure and distributed systems face challenges in aggregating and paginating results from multiple programmatic interfaces, which can lead to failure scenarios, permission issues, and varying pagination schemes, affecting data retrieval and user experience.
Innovation Solution
Implementing result state tokens to track pagination and failure states across different programmatic interfaces, allowing for selective service integration and retry management, thereby ensuring data aggregation and user experience are not impacted by temporary failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If results are aggregated from multiple programmatic interfaces, then data completeness is improved, but system complexity increases due to varying pagination schemes and failure scenarios
Solution Approach 1:
The patent segments the aggregation process by creating separate result state tracking for each programmatic interface. Each interface's pagination state, failure state, and completion state are independently tracked using result state tokens, allowing complex multi-interface aggregation to be broken down into manageable independent units that can be handled separately and then combined.
Solution Approach 2:
The patent introduces result state tokens as intermediary objects that mediate between multiple programmatic interfaces and the aggregation logic. These tokens serve as standardized intermediaries that encapsulate interface-specific pagination and failure information, allowing the system to handle diverse interfaces through a unified mechanism without directly managing each interface's complexity.
2Productivity
If pagination is implemented across multiple interfaces, then data retrieval capability is improved, but error handling complexity increases due to different failure scenarios
Solution Approach 1:
The patent changes the state parameters of each interface interaction by tracking pagination tokens, failure states, and completion states as distinct parameters. This allows the system to manage different failure scenarios and pagination states through parameter transitions rather than complex conditional logic, simplifying error handling while maintaining comprehensive data retrieval capability.
3Reliability
If retry mechanisms are implemented for failed services, then reliability is improved, but system stability deteriorates due to retry storms
Solution Approach 1:
The patent performs preliminary actions by tracking failure states and managing retry logic through result state tokens before actual retries occur. The system pre-establishes which services have failed, their failure states, and appropriate retry strategies, preventing uncontrolled retry storms by having retry mechanisms ready and configured in advance rather than reacting impulsively to failures.
Data Source
AI summary
Results of different programmatic interfaces may be paginated. A request that causes aggregation of results separately returned from different programmatic interfaces may be received. Attempts to obtain the results using the different programmatic interfaces to execute the request may be made. A token that describes result states for the different programmatic interfaces may be included in a response to the request.