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
Link To Document :
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