DocumentCode :
3143750
Title :
Chain-split evaluation in deductive databases
Author :
Han, Jiawei
Author_Institution :
Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC, Canada
fYear :
1992
fDate :
2-3 Feb 1992
Firstpage :
376
Lastpage :
384
Abstract :
A chain-split evaluation technique for the efficient evaluation of recursions in deductive databases is described. Three chain-split evaluation techniques: magic sets, buffered evaluation, and partial evaluation, are developed. The first one is applicable to the evaluation of function-free recursions. The latter two are applicable to both function-free and functional recursions. Partial evaluation is a further refinement of the buffered evaluation by evaluating the buffered functional predicates as much as possible to reduce the cost of maintaining the sequences of buffered values and facilitates termination judgment and constraint pushing. Chain-split evaluation is an important recursive query processing technique which can be implemented efficiently in deductive databases by extension to the available recursive query evaluation techniques
Keywords :
database theory; deductive databases; query processing; recursive functions; buffered evaluation; chain-split evaluation technique; constraint pushing; deductive databases; function-free recursions; functional recursions; magic sets; partial evaluation; recursive query evaluation techniques; recursive query processing technique; termination judgment; Councils; Deductive databases; Logic; Query processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 1992. Proceedings. Eighth International Conference on
Conference_Location :
Tempe, AZ
Print_ISBN :
0-8186-2545-7
Type :
conf
DOI :
10.1109/ICDE.1992.213172
Filename :
213172
Link To Document :
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