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PAXQuery: Efficient Parallel Processing of Complex XQuery

Camacho-Rodríguez, Jesús; Colazzo, Dario; Manolescu, Ioana (2015), PAXQuery: Efficient Parallel Processing of Complex XQuery, IEEE Transactions on Knowledge and Data Engineering, 27, 7, p. 1977-1991. 10.1109/TKDE.2015.2391110

Type
Article accepté pour publication ou publié
Date
2015
Journal name
IEEE Transactions on Knowledge and Data Engineering
Volume
27
Number
7
Publisher
Institute of Electrical and Electronics Engineers
Pages
1977-1991
Publication identifier
10.1109/TKDE.2015.2391110
Metadata
Show full item record
Author(s)
Camacho-Rodríguez, Jesús

Colazzo, Dario
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Manolescu, Ioana cc
Inria Saclay - Ile de France
Abstract (EN)
Increasing volumes of data are being produced and exchanged over the Web, in particular in tree-structured formats such as XML or JSON. This leads to a need of highly scalable algorithms and tools for processing such data, capable to take advantage of massively parallel processing platforms. This work considers the problem of efficiently parallelizing the execution of complex nested data processing, expressed in XQuery. We provide novel algorithms showing how to translate such queries into PACT, a recent framework generalizing MapReduce in particular by supporting many-input tasks. We present the first formal translation of complex XQuery algebraic expressions into PACT plans, and demonstrate experimentally the efficiency and scalability of our approach.
Subjects / Keywords
XQuery processing; XQuery parallelization; XML data management

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