Abstract
We consider the problem of querying key-value stores in the presence of semantic constraints, expressed as rules on keys, whose purpose is to establish a high-level view over a collection of legacy databases. We focus on the rewriting-based approach for data access, which is the most suitable for the key-value store setting because of the limited expressivity of the data model employed by such systems. Our main contribution is a parallel technique for rewriting and evaluating tree-shaped queries under constraints which is able to speed up query answering. We implemented and evaluated our parallel technique. Results show significant performance gains compared to the baseline sequential approach.
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Acknowledgements
This work has been partially supported by the ANR CQFD Project (ANR-18-CE23-0003).
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Rodriguez, O., Akbarinia, R., Ulliana, F. (2019). Querying Key-Value Stores Under Single-Key Constraints: Rewriting and Parallelization. In: Fodor, P., Montali, M., Calvanese, D., Roman, D. (eds) Rules and Reasoning. RuleML+RR 2019. Lecture Notes in Computer Science(), vol 11784. Springer, Cham. https://doi.org/10.1007/978-3-030-31095-0_15
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DOI: https://doi.org/10.1007/978-3-030-31095-0_15
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