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多核环境下Key—Value数据库性能分析与优化
引用本文:隋春明.多核环境下Key—Value数据库性能分析与优化[J].电力信息化,2014(2):44-49.
作者姓名:隋春明
作者单位:国网吉林省电力有限公司;
摘    要:在面对数据库高并发读写、高可扩展性和高可用性、海量数据的高效率存储和访问的需求下。传统的关系数据库显得力不从心,基于Key—Value的数据库应运而生。针对Key—Value数据库产品Memcached在单核、多核环境下的压力测试结果,在同种。隋况下多线程性能高于单线程、多实例性能高于单实例并充分利用系统资源。通过构建多核、多线程的Key—Value系统满足当前海量数据高效率存储和访问的需求。

关 键 词:并发  Key—Value  大数据

Analysis and Optimization of Key-Value Database Performance in the Multi-core Environment
SUI Chun-ming.Analysis and Optimization of Key-Value Database Performance in the Multi-core Environment[J].Electric Power Information Technology,2014(2):44-49.
Authors:SUI Chun-ming
Affiliation:SUI Chun-ming (State Grid .lilin Electronic Power Co., Ltd., Changchun 130021, China)
Abstract:Facing the needs of high concurrent read-write operations, high scalability and high availability, massive data storage and access of high efficiency, traditional relational database appeared to be inadequate, and then Key-Value-based databases have emerged. For Key-Value database products Memcached, by analyzing the stress test results under the case of a single-core and multi-core environment respectively, the conclusions that under the same environment, multi-core is better than single-core in terms of performance and system resource usage ratio is reached. Thus, building a multi-core, multi-thread Key-Value based database can meet the needs of high efficient storage and access of big data.
Keywords:concurrent  Key-Value  big data
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