img Leseprobe Leseprobe

Answering Queries Using Views

Second Edition

Rada Chirkova, Foto Afrati

PDF
ca. 84,99
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Morgan & Claypool Publishers img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Informatik, EDV

Beschreibung

The topic of using views to answer queries has been popular for a few decades now, as it cuts across domains such as query optimization, information integration, data warehousing, website design and, recently, database-as-a-service and data placement in cloud systems.

This book assembles foundational work on answering queries using views in a self-contained manner, with an effort to choose material that constitutes the backbone of the research. It presents efficient algorithms and covers the following problems: query containment; rewriting queries using views in various logical languages; equivalent rewritings and maximally contained rewritings; and computing certain answers in the data-integration and data-exchange settings. Query languages that are considered are fragments of SQL, in particular select-project-join queries, also called conjunctive queries (with or without arithmetic comparisons or negation), and aggregate SQL queries.

This second edition includes two new chapters that refer to tree-like data and respective query languages. Chapter 8 presents the data model for XML documents and the XPath query language, and Chapter 9 provides a theoretical presentation of tree-like data model and query language where the tuples of a relation share a tree-structured schema for that relation and the query language is a dialect of SQL with evaluation techniques appropriately modified to fit the richer schema.

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Schlagwörter

equivalent query rewritings, query containment, XPath, the chase algorithm query containment and rewriting under dependencies, maximally contained query rewritings, tree data, determinacy, arithmetic comparisons, tuple-generating dependencies, acyclic queries, negation, equality-generating dependencies, query equivalence, data exchange, conjunctive queries, aggregate queries