Query Optimization Strategies in Probabilistic Relational Databases

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 768)

Abstract

Most existing optimization strategies for relational algebra queries in probabilistic relational databases focus on accelerating probability computation of lineage expressions of answering tuples. However, none of them take into account simplifying lineage expression during query processing. To this aim, an optimization method that makes use of integrity constraints to generate simplified lineage expressions for query results is proposed. The simplified lineage expressions for two algebra operations are generated under functional dependency constraints and referential constraints separately. The effectiveness of the optimization strategies for relational algebra queries is demonstrated in the experiment.

Keywords

Probabilistic databases Query optimization Functional dependency constraints Referential constraints 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Zhejiang University of Water Resources and Electric PowerHangzhouChina
  2. 2.School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhanChina

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