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.
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Zhang, C., Cao, Z., Zhu, H. (2017). Query Optimization Strategies in Probabilistic Relational Databases. In: Du, D., Li, L., Zhu, E., He, K. (eds) Theoretical Computer Science. NCTCS 2017. Communications in Computer and Information Science, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-10-6893-5_16
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