Smart Cache for Server Test Environments
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Solution Overview
Problem
During the testing of AJAX applications, repeated service invocations lead to significant latency due to complex database queries and bandwidth limitations, necessitating frequent re-invocations of services, which can be cumbersome and time-consuming, especially when modifying the user interface.
Innovation Solution
Implementing a smart caching system within a development tool that stores service data in a cache upon initial invocation and returns this data for subsequent requests, reducing the need for repeated service invocations and thereby minimizing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If services are invoked repeatedly during testing, then user interface rendering can be updated, but significant latency occurs due to complex database queries and bandwidth limitations
Solution Approach 1:
The system performs preliminary actions by invoking services once during testing and caching the returned data sets before they are needed for subsequent UI re-renderings. This preliminary data retrieval and caching eliminates the need for repeated service invocations, thereby resolving the contradiction between enabling frequent UI updates and avoiding the time loss from repeated service calls with complex database queries
Solution Approach 2:
The system creates copies of service data sets and stores them in a cache. Instead of invoking the original service repeatedly, the cached copies are retrieved and used for subsequent UI renderings. This copying approach maintains the functionality needed for UI updates while eliminating the latency associated with repeated service invocations and complex database queries
2Reliability
If services are invoked repeatedly for each UI re-rendering, then data freshness is maintained, but bandwidth is consumed excessively in bandwidth-limited environments
Solution Approach 1:
The system performs preliminary service invocations and caches the data sets before they are needed for UI re-renderings. This preliminary action ensures that fresh data is obtained once while avoiding repeated bandwidth-consuming service calls, thus maintaining data reliability while reducing bandwidth consumption in limited environments
Solution Approach 2:
The system creates cached copies of service data sets for reuse in subsequent UI renderings. These copies eliminate the need for repeated service invocations that would consume excessive bandwidth, while still providing the necessary data for maintaining UI data freshness. The copying mechanism resolves the contradiction by balancing data reliability with bandwidth conservation
3Loss of time
If developers place data in flat files and re-code the application, then service invocation latency is reduced, but application code complexity increases
Solution Approach 1:
The system introduces a smart cache module as an intermediary component between the service invocation layer and the UI rendering layer. This intermediary automatically caches service data sets and manages their retrieval, eliminating the need for developers to manually implement flat file storage and code modifications. The intermediary resolves the contradiction by reducing service invocation latency through intelligent caching while avoiding the complexity of application code restructuring
Solution Approach 2:
The smart cache module provides self-service functionality by automatically caching service responses and managing data retrieval without requiring developer intervention or code modifications. The system serves itself by implementing the caching logic within the existing service invocation flow, thereby reducing latency while maintaining code simplicity and avoiding the need for developers to re-code application logic
Data Source
AI summary
Embodiments of the present invention provide a method, system and computer program product for a smart cache for server testing in an application development tool. In an embodiment of the invention, method of smart caching of service data during application testing in a development tool for a service invoking application is provided. The method includes loading source code for a computer program into a development tool executing in memory of a computing system. The method further includes executing the source code from the development tool. In this regard, the execution of the source code invokes a service responsive to a directive to invoke the service disposed in the source code. Finally, the method includes invoking the service in a container instance in response to a first invocation of the service from the computer program. However, a data set for the service is located in a cache and returned the data set to the computer program in lieu of invoking the service in the container instance for all other invocations of the service.