Design And Implementation Of Agricultural E-commerce System Based On JSP And Hadoop

At present,agricultural e-commerce is developing rapidly.On the one hand,more and more rural households have a strong demand for agricultural products trading through agricultural e-commerce websites.On the other hand,China's agricultural structure is complex,and agricultural data involves multiple fields.The effective use of these data requires corresponding With the support of the big data platform,the big data platform can integrate data from the agricultural sector and provide advice and guidance for agricultural workers.This paper has designed an e-commerce system suitable for China's farmer's market,starting from the operating mode of e-commerce,using the B2C model as the main operating method,using JSP as the front-rear program development language,and Hadoop technology as the storage and offline data analysis.Introduce key technologies for system development and use,and explain its basic principles.(1)The agricultural e-commerce system uses JSP technology,SQL Server 2016 database management system,and Tomcat 7.0 application server.The module includes an administrator login module,an operator login module,a business information management module,a transaction details management module,a transaction management module,and an information statistics module.The realization of this system makes the centralized management of agricultural products simple and efficient,and facilitates maintenance and management of administrators with different rights.system.(2)For the large amount of data and analysis needs of agricultural e-commerce websites,this paper makes use of Hadoop's distributed file system HDFS and non-relational database Hive to conduct disaster recovery and offline data analysis of agricultural e-commerce data.The system implements the front-end display module and back-office management system.It combines online and offline functions,and uses fools to meet the basic requirements of farmers.