article

An empirical evaluation of XQuery processors

Author:

Stefan ManegoldAuthors Info & Claims

Information Systems, Volume 33, Issue 2

Pages 203 - 220

https://doi.org/10.1016/j.is.2007.05.004

Published: 01 April 2008 Publication History

Abstract

This paper presents an extensive and detailed experimental evaluation of XQuery processors. The study consists of running five publicly available XQuery benchmarks-the Michigan benchmark (MBench), XBench, XMach-1, XMark and X007-on six XQuery processors, three stand-alone (file-based) XQuery processors (Galax, Qizx/Open, Saxon-B) and three XML/XQuery database systems (BerkeleyDB/XML, MonetDB/XQuery, X-Hive/DB). Next to assessing and comparing the functionality, performance and scalability for the various systems, the major focus of this work is to report in detail about the experiences made while performing such an exhaustive study, to discuss all the problems that we encountered and how we solved them, and hence to hopefully provide some guidelines (or even a recipe) for performing reproducible large-scale experimental research and system evaluation.

References

[1]

L. Afanasiev, M. Franceschet, M. Marx, E. Zimuel, XCheck: a platform for benchmarking XQuery engines, in: VLDB, 2006, demo. {http://ilps.science.uva.nl/Resources/XCheck/}.

[2]

K. Runapongsa, J. Patel, H. Jagadish, Y. Chen, S. Al-Khalifa, The Michigan benchmark: a microbenchmark for XML query processing systems, in: EEXTT, 2002, {http://www.eecs.umich.edu/db/mbench/}.

[3]

S. Bressan, G. Dobbie, Z. Lacroix, M. Lee, Y. Li, U. Nambiar, B. Wadhwa, X007: applying 007 benchmark to XML query processing tool, in: CIKM, 2001, {http://www.comp.nus.edu.sg/~ebh/XOO7.html}.

[4]

B. Yao, T. Özsu, N. Khandelwal, XBench benchmark and performance testing of XML DBMSs, in: ICDE, 2004, {http://se.uwaterloo.ca/~ddbms/projects/xbench/}.

[5]

T. Böhme, E. Rahm, XMach-1: a benchmark for XML data management, in: BTW, 2001, {http://dbs.uni-leipzig.de/de/projekte/XML/XmlBenchmarking.html}.

[6]

A. Schmidt, F. Waas, M. Kersten, M. Carey, I. Manolescu, R. Busse, XMark: a benchmark for XML data management, in: VLDB, 2002, {http://xml-benchmark.org/}.

Digital Library

[7]

L. Afanasiev, M. Marx, An analysis of the current XQuery benchmarks, in: ExpDB, 2006.

[8]

P.A. Boncz, T. Grust, M. van Keulen, S. Manegold, J. Rittinger, J. Teubner, MonetDB/XQuery: a fast XQuery processor powered by a relational engine, in: SIGMOD, 2006, {http://monetdb-xquery.org/}.

Digital Library

[9]

X-Hive/DB, {http://www.x-hive.com/products/db/}.

[10]

Berkeley DB, XML, {http://www.sleepycat.com/products/bdbxml.html}.

[11]

Saxon-B, {http://saxon.sourceforge.net/}.

[12]

M. Fernández, J. Siméon, B. Choi, A. Marian, G. Sur, Implementing XQuery 1.0: the Galax experience, in: VLDB, 2003, {http://www.galaxquery.org/}.

[13]

Qizx/Open, {http://www.axyana.com/qizxopen/}.

[14]

S. Manegold, An empirical evaluation of XQuery processors, in: ExpDB, 2006, {http://www.cwi.nl/htbin/ins1/publications?request=abstract&key=Ma:EXPDB:06}.

[15]

eXist, {http://exist.sourceforge.net/}.

[16]

M. Franceschet, XPathMark: an XPath benchmark for XMark generated data, in: XSym, 2005.

[17]

L. Afanasiev, I. Manolescu, P. Michiels, MemBeR: a micro-benchmark repository for XQuery, XSym, 2005.

Cited By

Suh YAn JTak BNa G(2022)A Comprehensive Empirical Study of Query Performance Across GPU DBMSesACM SIGMETRICS Performance Evaluation Review10.1145/3547353.352264450:1(51-52)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3547353.3522644
Suh YAn JTak BNa G(2022)A Comprehensive Empirical Study of Query Performance Across GPU DBMSesProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35080246:1(1-29)Online publication date: 28-Feb-2022
https://dl.acm.org/doi/10.1145/3508024
Suh YAn JTak BNa GManjunath DNair JCarlsson NCohen ERobert P(2022)A Comprehensive Empirical Study of Query Performance Across GPU DBMSesAbstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems10.1145/3489048.3522644(51-52)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1145/3489048.3522644
Show More Cited By

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An empirical evaluation of XQuery processors

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Copyright © Elsevier B.V. © 2007.

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Elsevier Science Ltd.

United Kingdom

Publication History

Published: 01 April 2008

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Cited By

Suh YAn JTak BNa G(2022)A Comprehensive Empirical Study of Query Performance Across GPU DBMSesACM SIGMETRICS Performance Evaluation Review10.1145/3547353.352264450:1(51-52)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3547353.3522644
Suh YAn JTak BNa G(2022)A Comprehensive Empirical Study of Query Performance Across GPU DBMSesProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35080246:1(1-29)Online publication date: 28-Feb-2022
https://dl.acm.org/doi/10.1145/3508024
Suh YAn JTak BNa GManjunath DNair JCarlsson NCohen ERobert P(2022)A Comprehensive Empirical Study of Query Performance Across GPU DBMSesAbstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems10.1145/3489048.3522644(51-52)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1145/3489048.3522644
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https://dl.acm.org/doi/10.1016/j.ipm.2019.05.011

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