异构随机数据库中的关系算子

Letitia Velcescu, L. Vasile
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引用次数: 3

摘要

本文研究了一些近似关系运算结果的大小,重点讨论了连接、外连接和差值。我们将随机数据库的概念推广到异构随机数据库,其中每一列都可以有自己的一维分布。在这个框架中,我们将研究同构数据库中已经存在的结果是否仍然正确。我们的方法分为三个步骤。首先,我们在具有特定分布的异构表上建立了一些关系操作的直方图,然后我们应用拟合优度的卡方检验,最后,我们证明了设置自连接的基数可以用泊松分布近似的限制的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relational Operators in Heterogeneous Random Databases
In this paper, we investigate the sizes of some approximate relational operations results, focusing on join, outer join and difference. We extend the notion of random database, in which the records are random vectors following a certain probability distribution, to heterogeneous random databases, in which each column can have its own unidimensional distribution. In this framework, we will investigate if the results already existing for the homogeneous databases remain true. Our approach follows three steps. First, we build up the histograms for some relational operations on heterogeneous tables with specific distributions, then we apply the chi square test of goodness of fit and, in the end, we prove the result that sets the limits for which the cardinality of the self-join can be approximated by a Poisson distribution.
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