On Compile-Time Query Optimization in Deductive Databases by Means of Static Filtering

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Abstract

We extend the query optimization techniques known as algebric manipulations with relational expressions [48] to work with deductive databases. In particular, we propose a method for moving data-independent selections and projections into recursive axioms, which extends all other known techniques for performing that task [2, 3, 9, 18, 20]. We also show that, in a well-defined sense, our algorithm is optimal among the algorithms that propagate data-independent selections through recursion.

Original languageEnglish
Pages (from-to)385-426
Number of pages42
JournalACM Transactions on Database Systems
Volume15
Issue number3
DOIs
StatePublished - 9 Jan 1990

Keywords

  • dataflow
  • deductive databases
  • filtering
  • fixpoint
  • graph representation
  • inference
  • projection
  • recursive rules
  • selection

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