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BrackitMR: Flexible XQuery Processing in MapReduce

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Web-Age Information Management (WAIM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7923))

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Abstract

We present BrackitMR, a framework that executes XQuery programs over distributed data using MapReduce. The main goal is to provide flexible MapReduce-based data processing with minimal performance penalties. Based on the Brackit query engine, a generic query compilation and optimization infrastructure, our system allows for a transparent integration of multiple data sources, such as XML, JSON, and CSV files, as well as relational databases, NoSQL stores, and lower-level record APIs such as BerkeleyDB.

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References

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  2. Sauer, C.: XQuery Processing in the MapReduce Framework. Master’s thesis, University of Kaiserslautern, Germany (2012)

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Author information

Authors and Affiliations

  1. University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Caetano Sauer, Sebastian Bächle & Theo Härder

Authors
  1. Caetano Sauer
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  2. Sebastian Bächle
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  3. Theo Härder
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China

    Jianyong Wang

  2. Management Science and Information Systems Department, Rutgers, the State University of New Jersey, 1, Washington Park, 07102, Newark, NJ, USA

    Hui Xiong

  3. Department of Information Engineering, Nagoya University, 464-8601, Nagoya, Japan

    Yoshiharu Ishikawa

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong

    Jianliang Xu

  5. School of Information Science and Engineering, Yanshan University, Qinhuangdao, China

    Junfeng Zhou

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© 2013 Springer-Verlag Berlin Heidelberg

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Sauer, C., Bächle, S., Härder, T. (2013). BrackitMR: Flexible XQuery Processing in MapReduce. In: Wang, J., Xiong, H., Ishikawa, Y., Xu, J., Zhou, J. (eds) Web-Age Information Management. WAIM 2013. Lecture Notes in Computer Science, vol 7923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38562-9_85

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  • DOI: https://doi.org/10.1007/978-3-642-38562-9_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38561-2

  • Online ISBN: 978-3-642-38562-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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