On compile-time query optimization in deductive databases by means of static filtering

Author:

Kifer Michael1,Lozinskii Eliezer L.2

Affiliation:

1. State Univ. of New York, Stony Brook

2. Hebrew Univ., Jerusalem, Israel

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient Enumeration of Recursive Plans in Transformation-Based Query Optimizers;Proceedings of the VLDB Endowment;2024-07

2. On the Optimization of Recursive Relational Queries: Application to Graph Queries;Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data;2020-06-11

3. lp2cpp: A Tool For Compiling Stratified Logic Programs;AI*IA 2017 Advances in Artificial Intelligence;2017

4. Introduction;Data Management and Query Processing in Semantic Web Databases;2011

5. Semantic Web;Data Management and Query Processing in Semantic Web Databases;2011

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