首页> 外文会议>Meeting on Inconsistency Tolerance; 2003; Dagstuhl(DE) >On the Computational Complexity of Minimal-Change Integrity Maintenance in Relational Databases
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On the Computational Complexity of Minimal-Change Integrity Maintenance in Relational Databases

机译: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情况下解决了最小更改完整性维护的问题。使用Arenas,Bertossi和Chomicki提出的框架,我们关注两个基本的计算问题:修复检查(数据库实例是给定数据库的修复吗?)和一致的查询答案(元组是否是给定查询的答案)给定数据库的每次修复?)。我们研究了这两个问题的计算复杂度,勾画出了难处理和难处理的边界。我们回顾了相关的语义问题,并调查了在这种情况下提出的不同计算机制。我们的分析揭示了最小更改完整性维护的计算可行性。易处理的案例应导致实际实施。难处理性结果突出了任何完整性执行机制的固有局限性,例如触发器或引用约束操作,作为执行最小更改完整性维护的一种方式。

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