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Guided automated learning for query workload re-optimization

Summary: GALO automates fixing costly query plans with offline learning of recurring patterns, yielding RDF/SPARQL knowledge base of remedies. Third-tier re-optimizer after cost-based optimization, enabling cross-workload generalization and performance insight on TPC-DS/IBM datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12110
Venue
VLDB
Year
2019
Pagerank
5.733869e-05
Overall Rank
6,938 | 52.40%
DOI
10.14778/3352063.3352120

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{damasio_vldb19,
        title = {{Guided automated learning for query workload re-optimization}},
        author = {Damasio, Guilherme and Corvinelli, Vincent and Godfrey, Parke and Mierzejewski, Piotr and Mihaylov, Alex and Szlichta, Jaroslaw and Zuzarte, Calisto},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {2010--2021},
        doi = {10.14778/3352063.3352120},
        url = {https://doi.org/10.14778/3352063.3352120},
        year = {2019}
}

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