Design And Implementation Of Question And Answer Platform Based On Microservice Architecture

In recent years,knowledge sharing based on the Internet has become a new development trend.Based on the knowledge question and answer platform,users can share knowledge through social behaviors.However,with the continuous increase in the number of platform users,the traditional monolithic architecture has been unable to meet the scalability requirements of the Q&A platform.Therefore,this paper studies the method of implementing a knowledge question answering platform based on microservice architecture design.The main research work of the subject includes the following four aspects:(1)From the perspective of software architecture evolution,the background and characteristics of the micro-service architecture are analyzed.Through research and comparison,it is determined that Spring Cloud is used as the main platform development framework,and the back-end microservice module is developed based on the Spring Boot framework.At the same time,various middleware technologies such as Elasticsearch and Redis are introduced.(2)Conducted demand analysis and overall design of the Q&A platform.The Q&A platform adopts a three-tier architecture design as a whole.According to user characteristics and usage scenarios,the service module is divided into multiple functional sub-modules,mainly including user module,basic module,search module and recommendation module.Finally,the database of Q&A platform is designed.(3)The Q&A platform is designed and implemented in detail.Among them,in order to facilitate the unified management of configuration files and the real-time update of projects,the distributed configuration center of the platform is designed.In order to authenticate and authenticate each microservice,a unified authentication and authentication design of the gateway is carried out.In the Q&A microservice,in order to make the answer sorting mechanism more reasonable,the Wilson scoring algorithm was introduced and optimized;in order to make the hot list module more valuable,the user voting algorithm was introduced and improved.In the recommendation microservice,a recommendation algorithm based on user proximity similarity is designed,and a corresponding solution is proposed for the cold start problem.In order to improve the performance of the platform and speed up the response speed of the platform,Redis is used for data caching.Aiming at the data consistency problem between the cache and the database,a data consistency synchronization scheme with a retry mechanism is designed.In order to facilitate the push of high-quality answers and platform data analysis,a set of answer quality evaluation system is designed.Finally,the platform is developed and realized based on the above design scheme.(4)Perform functional and non-functional tests on the implemented question-and-answer platform.The non-functional tests mainly test the pressure resistance of the platform in high concurrency scenarios.The test results show that the question answering platform has high reliability,meets the expected functional requirements,and has a good application prospect.