BrackitMR: flexible XQuery processing in mapreduce

  • Authors:
  • Caetano Sauer;Sebastian Bächle;Theo Härder

  • Affiliations:
  • University of Kaiserslautern, Kaiserslautern, Germany;University of Kaiserslautern, Kaiserslautern, Germany;University of Kaiserslautern, Kaiserslautern, Germany

  • Venue:
  • WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
  • Year:
  • 2013

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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.