企业级分布式数据集成平台设计  

Design of Enterprise-level Distributed Data Integration Platform

作　　者：曹熙 CAO Xi(Digital Grid Research Institute,China Southern Power Grid,Guangzhou Guangdong 510000,China)

机构地区：[1]南方电网大数据服务有限公司,广东广州510000

出　　处：《信息与电脑》2022年第3期100-102,共3页Information & Computer

摘　　要：现有的数据集成平台在数据库与CPU的连接处理方面能力较差,导致数据集成效果较差,为了及时处理数据库中的大量数据,设计企业级分布式数据集成平台。在硬件设计中,构建输出数据流的采集模型,作为不同效率的等效降压开关模型;在软件设计中,将数据库中间件分类处理,调解联机终端服务器的网络环境,构建分布式数据多级缓存队列,从而得到分布式数据集成平台。通过对比不同的数据集成平台,由数据库连接数量与CPU负载的关系可知,该平台性能最好。The existing data integration platform has poor connection processing ability between database and CPU,resulting in poor data integration effect.In order to process a large amount of data in the database in time,an enterprise-level distributed data integration platform is designed.In the hardware design,the collection model of the output data stream is constructed as an equivalent step-down switch model with different efficiencies;in the software design,the database middleware is classified and processed,the network environment of the online terminal server is adjusted,and the distributed data multi-level is constructed.Cache queues to obtain a distributed data integration platform.By comparing different data integration platforms,it can be seen from the relationship between the number of database connections and the CPU load that this platfor m has the best performance.

关 键 词：数据库 多级缓存队列 数据集成平台 终端服务器 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]