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)
Incoming Non-self Citations Over Time
Authors
- 1. Guilherme Damasio (IBM; Ontario Tech University)
- 2. Vincent Corvinelli (IBM)
- 3. Parke Godfrey (IBM; York University)
- 4. Piotr Mierzejewski (IBM)
- 5. Alex Mihaylov (IBM; Ontario Tech University)
- 6. Jaroslaw Szlichta (IBM; Ontario Tech University)
- 7. Calisto Zuzarte (IBM)
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}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,085 | QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting | 2023 | VLDB | 6.8129946e-05 |
| 4,470 | Real-time Workload Pattern Analysis for Large-scale Cloud Databases | 2023 | VLDB | 6.5833414e-05 |
| 7,546 | Learned Offline Query Planning via Bayesian Optimization | 2025 | SIGMOD | 5.4966669e-05 |
| 9,627 | Db2une: Tuning Under Pressure via Deep Learning | 2024 | VLDB | 5.1477233e-05 |
| 9,635 | Low Rank Learning for Offline Query Optimization | 2025 | SIGMOD | 5.1453041e-05 |
| 10,950 | Ultron: History-Based Query Optimization at Databricks | 2026 | VLDB | 4.9769913e-05 |
| 11,250 | QOVIS: Understanding and Diagnosing Query Optimizer via a Visualization-assisted Approach | 2025 | VLDB | 4.9769913e-05 |
| 12,176 | GALO: Guided Automated Learning for re-Optimization | 2019 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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