摘要
针对DaaS数据中心建设中物化视图选择对候选视图集的新要求和传统MVPP方法的不足,提出一种新的候选视图集生成算法。该算法利用多操作变换规则进行查询优化,然后利用算法1和2进行关系融合。实验证明,该算法能够提高查询效率,压缩候选视图集,具有较高的可扩展性,符合应用需求。
For the new requirements of constructing view sets used for materialized in DaaS data center construction and shortcomings of the traditional MVPP method,this paper proposed a new algorithm for materializing view set generation.First,it used transformation rules to optimize the query,then used algorithm 1 and 2 to fuse all relationship.Experiment proves that the algorithm can improve the query efficiency,it compresses candidates view set and has high scalability.And it is accord with application requirements.
出处
《计算机应用研究》
CSCD
北大核心
2012年第11期4137-4140,共4页
Application Research of Computers
基金
陕西省自然科学基金资助项目(2011JM8035)
关键词
数据即服务
面向服务体系架构
物化视图
候选视图集
data as a service(DaaS)
service oriented architecture
materialized view
candidate view set