Efficient query processing with structural join indexing in an object relational data warehousing environment

  • Authors:
  • Vivekanand Gopalkrishnan;Qing Li;Kamalakar Karlapalem

  • Affiliations:
  • City University of Hong Kong;City University of Hong Kong;University of Science and Technology, Hong Kong

  • Venue:
  • Data warehousing and web engineering
  • Year:
  • 2002

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Abstract

In an Object Relational Data Warehousing (ORDW) environmemt, the semantics of data and queries can be explicitly captured, represented, and utilized based on is-a and class composition hierarchies, thereby resulting in more efficient OLAP query processing. In this chapter, we show the efficacy in building semantic-rich hybrid data indexes incorporating Structural Join Index Hierarchy (SJIH) on the ORDW views. Given a set of queries, we use a hill-climbing heuristic algorithm to select (near) optimal SJIHs, thereby embedding query semantics into the indexing framework. Finally, by a cost model, we analyze the effectiveness of our approach vis-a-vis the pointer chasing approach.