L-Tree: a dynamic labeling structure for ordered XML data

  • Authors:
  • Yi Chen;George Mihaila;Rajesh Bordawekar;Sriram Padmanabhan

  • Affiliations:
  • University of Pennsylvania;IBM T.J Watson Research Center;IBM T.J Watson Research Center;IBM T.J Watson Research Center

  • Venue:
  • EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
  • Year:
  • 2004

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Abstract

With the ever growing use of XML as a data representation format, we see an increasing need for robust, high performance XML database systems While most of the recent work focuses on efficient XML query processing, XML databases also need to support efficient updates To speed up query processing, various labeling schemes have been proposed However, the vast majority of these schemes have poor update performance In this paper, we introduce a dynamic labeling structure for XML data: L-Tree and its order-preserving labeling scheme with O(log n) amortized update cost and O(log n) bits per label L-Tree has good performance on updates without compromising the performance of query processing We present the update algorithm for L-Tree and analyze its complexity.