摘要
非关系型数据库的出现,对于解决面向文档的超大规模和高并发的问题提供了卓有成效的解决方案。MongoDB为了提高处理大数据量的性能,提供了分片集群的功能,支持自动分片和划分架构,可以利用它构建一个水平扩展的数据库集群系统,将数据库分表存储在各个Sharding节点上。文中在研究MongoDB特性的基础上,着重分析Sharding技术的应用,通过比较普通和分片这两种情况下的性能测试,提出使用MongoDB中的Sharding技术来解决随着数据量增加带来的数据库的读写性能和效率的问题。
The emergence of non-relational databases,provide the effective solutions for the problems of large scale and high concurrency oriented document. In order to improve the performance of processing large amounts of data,MongoDB provides the ability to patch clus-ters,supports automatic partitioning and divides a schema,can use it to build a horizontal extension of the database cluster system,the da-tabase tables are stored in the Sharding node. Based on research of MongoDB feature,focus on the application of Sharding,through com-paring normal and Sharding in both cases of performance testing,present to use the Sharding in MongoDB for solving the problems of da-tabase reading and writing performance and efficiency generated by data volumes increasing.
出处
《计算机技术与发展》
2014年第7期60-62,67,共4页
Computer Technology and Development
基金
广西壮族自治区学位与研究生教育改革与发展专项课题(201110595R07)
中国学位与研究生教育学会信息管理委员会2011年课题(2011XX35)
