DocumentCode
2638019
Title
Generalizing “search” in generalized search trees
Author
Aoki, Paul M.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fYear
1998
fDate
23-27 Feb 1998
Firstpage
380
Lastpage
389
Abstract
The generalized search tree, or GiST, defines a framework of basic interfaces required to construct a hierarchical access method for database systems. As originally specified, GiST only supports record selection. We show how a small number of additional interfaces enable GiST to support a much larger class of operations. Members of this class, which includes, nearest-neighbor and ranked search, user-defined aggregation and index-assisted selectivity estimation, are increasingly common in new database applications. The advantages of implementing these operations in the GiST framework include reduction of user development effort and the ability to use industrial strength concurrency and recovery mechanisms provided by expert implementers
Keywords
database theory; query processing; relational databases; tree data structures; tree searching; GiST; concurrency; database systems; generalized search trees; hierarchical access method; index-assisted selectivity estimation; interfaces; nearest neighbor search; ranked search; record selection; recovery mechanism; relational database; user development effort; user-defined aggregation; Access protocols; Computer interfaces; Concurrency control; Cost function; Database systems; Image databases; Marine vehicles; Multimedia databases; Optimization methods; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 1998. Proceedings., 14th International Conference on
Conference_Location
Orlando, FL
ISSN
1063-6382
Print_ISBN
0-8186-8289-2
Type
conf
DOI
10.1109/ICDE.1998.655801
Filename
655801
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