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Lossless Horizontal Decomposition with Domain Constraints on Interpreted Attributes

机译:解释属性具有域约束的无损水平分解

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摘要

Horizontal decomposition is the process of splitting a relation into sub-relations, called fragments, each containing a subset of the rows of the original relation. In this paper, we consider horizontal decomposition in a setting where some of the attributes in the database schema are interpreted over a specific domain, on which a set of special predicates and functions is defined. We study the losslessness of horizontal decomposition, that is, whether the original relation can be reconstructed from the fragments by union, in the presence of integrity constraints on the database schema. We introduce the new class of conditional domain constraints (CDCs), restricting the values the interpreted attributes may take whenever a certain condition holds on the non-interpreted ones, and investigate lossless horizontal decomposition under CDCs in isolation, as well as in combination with functional and unary inclusion dependencies.
机译:水平分解是将一个关系拆分为多个子关系的过程,这些子关系称为片段,每个子片段都包含原始关系的行的子集。在本文中,我们考虑了在特定环境下解释数据库模式中某些属性的环境中的水平分解,在该环境中定义了一组特殊的谓词和函数。我们研究了水平分解的无损性,即在数据库架构上存在完整性约束的情况下,是否可以通过合并从片段中重建原始关系。我们引入了新的条件域约束(CDC)类,限制了只要未解释的条件满足特定条件,解释的属性就可以取的值,并分别研究CDC和功能组合下的无损水平分解和一元包含关系。

著录项

  • 来源
    《Big data》|2013年|77-91|共15页
  • 会议地点 Oxford(GB)
  • 作者单位

    Vienna University of Technology;

    Free University of Bozen-Bolzano;

    Free University of Bozen-Bolzano;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-26 14:28:20

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