The relation-partitioning approach to processing star queries in distributed databases

C. Wang, Victor O. K. Li
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引用次数: 2

Abstract

In a distributed database system, query processing involves considerable amount of data transmission among different computer sites. Since communication delay is substantial, minimizing inter-site data transmissions becomes an important issue. In this paper, we propose an abstract relation-partitioning approach to the distributed query processing problem. This approach transforms a query processing problem into a pseudo query processing problem, solves the query processing problem in the pseudo space, and then transforms the solution back to the original solution space. We then apply this method to derive optimal algorithms for star queries.
分布式数据库中星型查询的关系分区处理方法
在分布式数据库系统中,查询处理涉及到不同计算机站点之间的大量数据传输。由于通信延迟很大,因此最小化站点间数据传输成为重要问题。在本文中,我们提出了一种抽象的关系划分方法来解决分布式查询处理问题。该方法将查询处理问题转化为伪查询处理问题,在伪空间中解决查询处理问题,再将解转换回原解空间。然后,我们应用该方法推导出星型查询的最优算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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