摘要
大型数据库中的数据的属性种类很多。大规模的计算频繁数据集会造成数据运算量巨大。没有形成很好的数据约束规则,随着数据种类的增加,会使得查询较为耗时。为了解决此问题,提出一种基于关联约束最优模型的数据库优化查询算法,设计一种关联分辨器的功能,对数据进行关联数据集划分,运用数据约束技术,排除频繁集项过于复杂的干扰,对数据库的查询过程进行优化。实验表明,该方法能够较好的完成数据的关联,提高了查询的效率。
Large data in a database attribute is a lot of more phyletic.The calculation of mass data gathering frequently caused huge amount of computation data.Not form a good data constraint rule,with the increase of data types,makes inquires the more time-consuming.In order to solve this problem,this paper puts forward a optimal model based on association constraint database query optimization algorithm,design a kind of correlation resolution device function,the data for the correlation data set division,using data constraint technology,eliminate frequent item sets is too complex interference,the database query process optimization.Experiments show that the method can better finish data correlation and improve the efficiency of the query.
出处
《科技通报》
北大核心
2013年第1期147-149,160,共4页
Bulletin of Science and Technology
关键词
关联约束
数据库
数据查询
keywords correlation constraints
database
data query
