摘要
面对城市中快速增长的数据量,单机数据库的性能明显应对不足。针对单机数据性能低下、可扩展性差以及数据库安全性等问题,利用开源分布式数据库对数据进行管理显得十分必要。Postgres-XL作为一个完全满足ACID的、开源的、可方便进行水平扩展的、多租户安全的数据库解决方案,可以有效地完成数据管理工作。为了进一步提升Postgres-XL的效率,对Postgres-XL的扩展模块和存储管理模块进行了研究。首先提出利用Postgres-XL的表继承等特性完成表拆分,然后利用基于SQL/MED的中间件把Redis作为Postgres-XL的缓存,最后在Postgres-XL外存管理模块中增加SSD缓存模块。实验结果表明,以上三种优化策略有效地降低了数据库请求的时间延迟,提升了Postgres-XL的效率。
As the amount of data in the city grows rapidly,the performance of stand-alone database is clearly deficient.In order to solve problems of lowperformance,poor scalability and the security of database,it is necessary to use the open-source distributed database in data management.As an open source and horizontally-scalable database that meets the requirement of ACID and is secure for multiple tenancies,Postgres-XL can efficiently complete the data management.In order to further improve the efficiency of Postgres-XL,the expansion and storage management modules of Postgres-XL are studied.Firstly we propose to utilize the table inheritance and other characteristics of Postgres-XL to complete the table split,then use Redis as the cache of Postgres-XL based on SQL/MED middleware,and increase SSD cache modules in the external memory management module of Postgres-XL in the end.Experiments showthat proposed optimization strategies can effectively reduce the latency of the database request and improve the processing efficiency of Postgres-XL.
出处
《计算机技术与发展》
2018年第3期11-14,共4页
Computer Technology and Development
基金
国家自然科学基金(61502371)
