UI Data Request Caching and Deduplication Under API Rate Limits
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional web development paradigms lead to duplication of work, inefficiencies, and inconsistencies due to narrowly focused libraries for API handling, caching, and logging, resulting in wasted development and computational resources, and inefficient handling of retries and requests across frontend and backend systems.
Innovation Solution
Implementing a common service layer with configurable caching, deduplication, and rate limit handling for user interface data requests, using modular API wrappers and deduplication caches to consolidate identical requests and manage retries, ensuring efficient and consistent coding across microservices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If page-level data stores are used for caching and API handling, then each page can have its own customized handling, but code duplication occurs across multiple repositories and frameworks
Solution Approach 1:
The patent implements a universal service layer that provides caching, deduplication, and rate limiting functionality across multiple pages and frameworks. This service layer acts as a common foundation that can be reused throughout the application, eliminating the need for duplicating code in each page while still providing customized handling through configuration options.
Solution Approach 2:
The service layer serves as an intermediary between the user interface and the data sources, centralizing the handling of caching, deduplication, and rate limiting. This mediator approach allows pages to rely on the service layer for complex operations while maintaining their own specific requirements through configurable parameters.
2Stability of the object's composition
If all code relies on the service layer within one repository, then code consistency is improved, but the repository becomes large, complex, and hard to manage
Solution Approach 1:
The service layer is segmented into distinct, independent components for caching, deduplication, and rate limiting. Each component can be developed, tested, and maintained separately, reducing the complexity of the overall repository while maintaining code consistency. This modular approach allows teams to work on specific service layer components without affecting the entire codebase.
Solution Approach 2:
Complex service layer functionality is extracted into separate, reusable modules that can be independently managed. This extraction reduces the burden on the main repository by isolating complex logic into dedicated components that can be updated and maintained without impacting the entire codebase.
3Adaptability or versatility
If components are rebuilt when moved between pages and user interface frameworks, then framework-specific logic can be implemented, but development efficiency decreases due to repeated work
Solution Approach 1:
The service layer components are designed to be framework-agnostic and reusable across different user interface frameworks. By implementing a universal interface and configuration system, the same caching, deduplication, and rate limiting logic can be applied across various frameworks without requiring components to be rebuilt, thereby maintaining framework-specific capabilities while improving development efficiency.
4Reliability
If narrowly focused libraries are used for API handling, caching, and logging, then specific functions can be optimized, but development resources are wasted due to duplication
Solution Approach 1:
The patent merges previously separate, narrowly focused libraries into a unified service layer that provides caching, deduplication, and rate limiting functionality. This consolidation eliminates duplication of effort across multiple libraries while maintaining the optimized, function-specific capabilities of each component. The unified service layer reduces development resources by providing a single source of truth for these critical functions.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method for configurable caching, deduplication, and rate limit handling of user interface data requests according to an embodiment includes receiving a data request initiated by a user interface element of a user interface, determining whether a deduplication cache includes a deduplication entry associated with the data request, determining whether a main cache includes a cache entry associated with the data request in response to determining that the deduplication cache does not include the deduplication entry, determining whether the data request is associated with a rate-limited group of application programming interface endpoints in response to determining that the main cache does not include the cache entry or determining that the cache entry has expired, and making the data request to a backend system after a predefined server retry period associated with the rate-limited group has elapsed in response to determining that the data request is associated with the rate-limited group.