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Conference papers

Partitioning XML Data for Iterative Queries.

Nicole Bidoit 1, 2 Dario Colazzo 1, 2 Noor Malla 1, 2 Carlo Sartiani 3
2 OAK - Database optimizations and architectures for complex large data
Inria Saclay - Ile de France, LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : This paper presents an XML partitioning technique that allows main- memory query engines to process a class of XQuery queries, that we dub iterative queries, on arbitrarily large input documents. We provide a static analysis technique to recognize these queries. The static analysis is based on paths extracted from queries and does not need additional schema information. We then provide an algorithm using path information for partitioning the input documents of iter- ative queries. This algorithm admits a streaming implementation, whose effectiveness is experimentally validated.
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Contributor : Dario Colazzo Connect in order to contact the contributor
Submitted on : Thursday, November 29, 2012 - 10:52:36 AM
Last modification on : Thursday, July 8, 2021 - 3:47:55 AM


  • HAL Id : hal-00758699, version 1



Nicole Bidoit, Dario Colazzo, Noor Malla, Carlo Sartiani. Partitioning XML Data for Iterative Queries.. International Database Engineering & Applications Symposium (IDEAS), Aug 2012, Prague, Czech Republic. ⟨hal-00758699⟩



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