GALO: Guided Automated Learning for re-Optimization
Summary: GALO automates query performance problem determination via offline learning of common plan patterns, building a knowledge base of plan remedies. RDF/SPARQL-based knowledge base enables online re-optimization of queued queries, delivering gains. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,126 | Guided automated learning for query workload re-optimization | 2019 | VLDB | 4.8184704e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,016 | Memory-Efficient Hash Joins | 2015 | VLDB | 0.00014630024 |
| 7,126 | Guided automated learning for query workload re-optimization | 2019 | VLDB | 4.8184704e-05 |
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