NDLI: An extension of access paths to improve joins and selections

Content Provider	IEEE Xplore Digital Library
Author	Cheiney, Jean-Pierre Faudemav, Pascal Michel, Rudolphe
Copyright Year	1986
Description	Author affiliation: SABRE Project INRIA, BP.105, 78153 Le Chesnay-Cedex (France) (Cheiney, Jean-Pierre; Faudemav, Pascal; Michel, Rudolphe)
Abstract	A new access method, based upon predicate-tree and previously presented in [GARD 83b, VALD 84, GARD 85], presents major possibilities of applications. The basic method which is implemented, allows the clustering of tuples from a relation when they satisfy some predicate. The aim of this paper, is to show the flexibility of this method and the numerous possibilities of extensions. In addition, to the permanent access paths based upon physical clustering, predicate-trees allow the implementation of classical secondary access paths. We give a method to code the values of several secondary attributes by use of secondary predicate-trees. This method requires a less important storage volume than classical secondary indexes. Predicate-trees can also efficiently speed up the join operation. Clustering information is used to limit the join to relevant pairs of partitions. Our evaluation shows that an improvement ratio of 7 or more versus traditional algorithms can be achieved.
Starting Page	270
Ending Page	280
File Size	2619079
Page Count	11
File Format	PDF
ISBN	9780818606557
DOI	10.1109/ICDE.1986.7266231
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1986-02-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Indexes Clustering algorithms Calculus Cities and towns Merging Partitioning algorithms
Content Type	Text
Resource Type	Article

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