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By David Maier

The speculation of Relational Databases. David Maier. Copyright 1983, laptop technology Press, Rockville. Hardcover in first-class situation. markings. NO airborne dirt and dust jacket. Shelved in know-how. The Bookman serving Colorado Springs considering that 1990

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The hypergraph-based methodology has also been extended and applied to general universal constraints, of which denial constraints form a subclass [Staworko and Chomicki, 2010] (cf. 3). 4. 4 31 KEYS, TREES, FORESTS AND ROOTS The complexity analysis of CQA for key constraints and conjunctive queries with projection, that was started by Chomicki and Marcinkowski [2005], was extended by Fuxman and Miller [2005, 2007], where a broader tractable class was identified and characterized, and polynomial time algorithms were presented.

Here, | · | is used to denote the cardinality of a set. The set of repairs of an instance D under this semantics is denoted by Reptc(D, IC). / Reptc(D, IC). 6, we have D1 ∈ Reptc(D, IC), but D2 ∈ was briefly considered in Arenas et al. [2003a], and studied in more detail by Arieli et al. [2006], Lopatenko and Bertossi [2007] and Afrati and Kolaitis [2009]. 7. 6 ATTRIBUTE-BASED REPAIRS So far, we have considered repairs that insert or delete full tuples. Attribute-based repairs are obtained by changing attribute values in database tuples.

2003]. 4 and Chapter 5. 4 NULL INSERTIONS-BASED REPAIRS Under this repair semantics, existentially quantified inclusion dependencies are repaired by insertions of null values (cf. 5 for more details). 10, the only repair would be D = {P (a), R(a, null)}. Bravo and Bertossi [2006] use a single null value for restoring consistency, and it behaves as an SQL NULL. This same repair semantics has been used in peer data exchange systems [Bertossi and Bravo, 2007]. Data are moved around at query answering time, and this process is driven by consistency restoration of inter-peer data exchange constraints.

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