Title :
Chain-based evaluation-a bridge linking recursive and nonrecursive query evaluation
Author_Institution :
Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Abstract :
Many recursive query analysis techniques are qualitative in nature. This contracts sharply with relational query optimization which relies heavily on quantitative analysis. This paper shows that chain-based evaluation facilitates quantitative analysis of recursive queries based on the available chain information, database statistics and other quantitative measurements. Chain-based evaluation not only facilitates binding propagation, constraint pushing and the selection of recursive query evaluation algorithms but also provides precise compile chain forms in relational expressions. Since most recursions in database applications can be compiled into highly regular chain forms, chain-based evaluation is promising at bridging recursive and nonrecursive database query evaluation
Keywords :
performance evaluation; query processing; relational databases; binding propagation; chain-based evaluation; constraint pushing; database statistics; nonrecursive query evaluation; recursive query analysis; relational query optimization; Bridges; Councils; Deductive databases; Information analysis; Joining processes; Performance analysis; Performance evaluation; Query processing; Relational databases; Statistical analysis;
Conference_Titel :
Research Issues on Data Engineering, 1992: Transaction and Query Processing, Second International Workshop on
Conference_Location :
Tempe, AZ
Print_ISBN :
0-8186-2660-7
DOI :
10.1109/RIDE.1992.227414