A Cost Model for Interval Intersection Queries on RI-Trees

The efficient management of interval data represents a core requirement for many temporal and spatial database applications. With the Relational Interval Tree (RI-tree1), an efficient access method has been proposed to process interval intersection queries on top of existing objectrelational database systems. This paper complements that approach by effective and efficient models to estimate the selectivity and the I/O cost of interval intersection queries in order to guide the cost-based optimizer whether and how to include the RI-tree into the execution plan. By design, the models immediately fit to common extensible indexing/ optimization frameworks, and their implementations exploit the built-in statistics facilities of the database server. According to our experimental evaluation on an Oracle database, the average relative error of the estimated cost to the actual cost of index scans ranges from 0% to 23%, depending on the resolution of the persistent statistics and the size of the query objects.

Authors: Kriegel H.-P., Pfeifle M., Pötke M., Seidl T.
Published in: Proc. 14th Int. Conf. on Scientific and Statistical Database Management (SSDBM 2002), Edinburgh, UK. IEEE Computer Society
Publisher: IEEE Computer Society - Washington,USA
Sprache: EN
Jahr: 2002
Seiten: 131-141
ISBN: 0-7695-1632-7
Konferenz: SSDBM
URL:IEEE electronic edition
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Typ: Tagungsbeiträge
Forschungsgebiet: Fast Access to Complex Data