Scalable query rewriting: a graph-based approach

  • Authors:

  • George Konstantinidis;José Luis Ambite

  • Affiliations:

  • Information Sciences Institute / University of Southern California, Los Angeles, CA, USA;Information Sciences Institute / University of Southern California, Los Angeles, CA, USA

  • Venue:
  • Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
  • Year:
  • 2011

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Abstract

In this paper we consider the problem of answering queries using views, which is important for data integration, query optimization, and data warehouses. We consider its simplest form, conjunctive queries and views, which already is NP-complete. Our context is data integration, so we search for maximally-contained rewritings. By looking at the problem from a graph perspective we are able to gain a better insight and develop an algorithm which compactly represents common patterns in the source descriptions, and (optionally) pushes some computation offline. This together with other optimizations result in an experimental performance about two orders of magnitude faster than current state-of-the-art algorithms, rewriting queries using over 10000 views within seconds.