DocumentCode :
1986963
Title :
Materialization and incremental update of path information
Author :
Agrawal, Rakesh ; Jagadish, H.V.
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
fYear :
1989
fDate :
6-10 Feb 1989
Firstpage :
374
Lastpage :
383
Abstract :
The problem of efficiently processing recursive path queries in deductive database systems is discussed, and a semimaterialized encoding structure is proposed as an attractive approach that provides a balance between efficiency of retrieval and feasibility of storage. Incremental algorithms are presented that enable the effects of updates to the underlying database to be reflected in the materialized information. Performance simulations indicate that these techniques can significantly speed up the processing of path queries at an acceptable level of storage overhead
Keywords :
database theory; relational databases; deductive database systems; incremental update; materialized information; path information; path queries; recursive path queries; semimaterialized encoding structure; storage overhead; updates; Algebra; Bills of materials; Database systems; Deductive databases; Encoding; Information retrieval; Material storage; Materials reliability; Query processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 1989. Proceedings. Fifth International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-8186-1915-5
Type :
conf
DOI :
10.1109/ICDE.1989.47238
Filename :
47238
Link To Document :
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