Logical and Physical Optimizations for SQL Query Execution over Large Language Models
Summary: Galois sits between SQL and LLMs, using LLMs as a storage layer with LLM-aware physical operators. LLM-focused optimization with dynamic metadata beats conventional plans, delivering up to 144% quality gains vs NL questions and 29% vs SQL. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dario Satriani (University of Basilicata)
- 2. Enzo Veltri (University of Basilicata)
- 3. Donatello Santoro (University of Basilicata)
- 4. Sara Rosato (EURECOM)
- 5. Simone Varriale (EURECOM)
- 6. Paolo Papotti (EURECOM)
BibTeX Citation
@inproceedings{satriani_sigmod25,
title = {{Logical and Physical Optimizations for SQL Query Execution over Large Language Models}},
author = {Satriani, Dario and Veltri, Enzo and Santoro, Donatello and Rosato, Sara and Varriale, Simone and Papotti, Paolo},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725411},
url = {https://dl.acm.org/doi/10.1145/3725411},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,081 | Abacus: A Cost-Based Optimizer for Semantic Operator Systems | 2026 | VLDB | 6.9165634e-05 |
| 7,685 | Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB | 2025 | VLDB | 5.5678545e-05 |
| 10,137 | Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics | 2026 | CIDR | 5.093636e-05 |
| 10,184 | 100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models: [Experiments & Analysis] | 2026 | SIGMOD | 5.093636e-05 |
| 10,237 | Factorized and Vectorized Execution: Optimizing Analytical and Semantic Queries over Relations | 2026 | SIGMOD | 5.093636e-05 |
| 10,290 | Skyline Retrieval meets Set-Cover Chunk Merging: A Cost-Effective RAG-Sketch for Long-Context LLM QA | 2026 | SIGMOD | 5.093636e-05 |
| 10,405 | AixelAsk: A Stepwise-Guided Retrieval and Reasoning Framework for Large Table QA | 2026 | SIGMOD | 5.093636e-05 |
| 10,572 | Relational Deep Dive: Error-Aware Queries Over Unstructured Data | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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