Moving Selections into Linear Least Fixpoint Queries

  • Authors:
  • R. Agrawal;P. Devanbu

  • Affiliations:
  • -;-

  • Venue:
  • IEEE Transactions on Knowledge and Data Engineering
  • Year:
  • 1989

Quantified Score

Hi-index 0.00

Visualization

Abstract

Efficient least-fixpoint query evaluation is crucial to using logic as the query language for relational databases. The authors present a selection transposition algorithm that allows selections that are conjunctions of the predicates of the form column theta value to be evaluated ahead of the least-fixpoint operator while processing linear recursive queries. It is also shown that the algorithm transposes the strongest possible selection.