Research on Sqoop Data Transmission Technology Based on Big Data Hadoop Cluster
[Purposes]The Hadoop system is a big data distributed cluster system with numerous functional components in its open source ecosystem.By deploying the Sqoop component on the big data Hadoop cluster system,the data in the local relational MySQL database and the data stored in the Hive data warehouse can be quickly imported and exported,further studying the data transmission performance.[Methods]This article first deploys and configures the Hadoop distributed cluster system on the enterprise server,and then deploys the Sqoop component on the cluster and tests its connectivity with the MySQL database and Hive data warehouse.Finally,this paper uses Sqoop technology to test the import and export between the local MySQL database and Hive data warehouse.[Findings]Through Sqoop technology,it is more convenient and fast to upload data from the local MySQL database to the Hadoop cluster system.Compared to traditional methods of exporting data from the local MySQL database to TXT document format and then using the Hive data warehouse's Load data batch loading function,the technology greatly improves time and efficiency.[Conclusions]This paper verifies the correctness of deploying and running Sqoop components in Hadoop clusters,providing a certain degree of reference for big data technology learners.
NETL
NSTL
万方数据
