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On the Computational Complexity of Minimal-Change Integrity Maintenance in Relational Databases

机译:关于关系数据库中最小变化完整性维护的计算复杂性

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We address the problem of minimal-change integrity maintenance in the context of integrity constraints in relational databases. Using the framework proposed by Arenas, Bertossi, and Chomicki, we focus on two basic computational issues: repair checking (is a database instance a repair of a given database?) and consistent query answers (is a tuple an answer to a given query in every repair of a given database?). We study the computational complexity of both problems, delineating the boundary between the tractable and the intractable. We review relevant semantical issues and survey different computational mechanisms proposed in this context. Our analysis sheds light on the computational feasibility of minimal-change integrity maintenance. The tractable cases should lead to practical implementations. The intractability results highlight the inherent limitations of any integrity enforcement mechanism, e.g., triggers or referential constraint actions, as a way of performing minimal-change integrity maintenance.
机译:我们在关系数据库中的完整性约束的上下文中解决了最小变化的完整性维护问题。使用Arenas,Bertossi和Chomicki提出的框架,我们专注于两个基本的计算问题:修复检查(是一个数据库实例,修复给定的数据库?)和一致的查询答案(是对给定查询的答案每次修复给定数据库?)。我们研究了这两个问题的计算复杂性,划定了易腐烂和棘手之间的边界。我们审查了相关的语义问题并调查了在此背景下提出的不同计算机制。我们的分析揭示了最小变化完整性维护的计算可行性。贸易案件应导致实际实施。富有侵害性结果突出了任何完整性执法机制,例如触发器或参考约束措施的固有限制,作为执行最小变化的完整性维护的方式。

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