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Structured materialized views for XML queries

  • Andrei Arion
  • , Véronique Benzaken
  • , Ioana Manolescu
  • , Yannis Papakonstantinou
  • INRIA-Futurs and Xyleme
  • Université Paris-Saclay
  • CSE Dept.
  • University of California, San Diego

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

49 Citations (Scopus)

Résumé

The performance of XML database queries can be greatly enhanced by rewriting them using materialized views. We study the problem of rewriting a query using materialized views, where both the query and the views are described by a tree pattern language, appropriately extended to capture a large XQuery subset. The pattern language features optional nodes and nesting, allowing to capture the data needs of nested XQueries. The language also allows describing storage features such as structural identifiers, which enlarge the space of rewritings. We study pattern containment and equivalent rewriting under the constraints expressed in a structural summary, whose enhanced form also entails integrity constraints. Our approach is implemented in the ULoad [7] prototype and we present a performance analysis.

langue originaleAnglais
titre33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings
rédacteurs en chefJohannes Gehrke, Christoph Koch, Minos Garofalakis, Karl Aberer, Carl-Christian Kanne, Erich J. Neuhold, Venkatesh Ganti, Wolfgang Klas, Chee-Yong Chan, Divesh Srivastava, Dana Florescu, Anand Deshpande
EditeurAssociation for Computing Machinery, Inc
Pages87-98
Nombre de pages12
ISBN (Electronique)9781595936493
étatPublié - 1 janv. 2007
Modification externeOui
Evénement33rd International Conference on Very Large Data Bases, VLDB 2007 - Vienna, Autriche
Durée: 23 sept. 200727 sept. 2007

Série de publications

Nom33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings

Une conférence

Une conférence33rd International Conference on Very Large Data Bases, VLDB 2007
Pays/TerritoireAutriche
La villeVienna
période23/09/0727/09/07

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