Mass Tourism Data Analysis API Based on E-Commerce Platform

Abstract

Abstract With the rapid development of Internet information technology, e-commerce transactions are accepted and known by more and more people, and more and more attention is paid by major enterprises. This paper mainly studies the design and implementation of mass tourism data analysis API based on e-commerce platform. The software system of this paper adopts the method of black box testing, which basically covers the main business logic of each functional module. The class and method of task scheduling, monitoring alarm and API gateway service module are tested, which basically covers the logic of class method of these modules. The system performance test is mainly to test the system by recording test script by automatic test tool. In this paper, the system response speed, concurrency and stability index are tested by using the automatic test tool load runner. The data shows that when the number of API requests reaches 4200, there will be a certain number of requests failed to respond to processing. The results show that the system has achieved the design goals in advance and basically completed the requirements listed in the requirements.