Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads
Summary: SQLBarber is an LLM-driven system that generates customized, realistic SQL workloads without prebuilt templates, guided by natural-language constraints. It derives template specifications and cost distributions from Redshift/Snowflake stats, scales to large workloads, and enables exploring cost-realism trade-offs under user constraints. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiale Lao (Cornell University)
- 2. Immanuel Trummer (Cornell University)
BibTeX Citation
@inproceedings{lao_sigmod25,
title = {{Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads}},
author = {Lao, Jiale and Trummer, Immanuel},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725101},
url = {https://dl.acm.org/doi/10.1145/3722212.3725101},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,494 | SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads | 2026 | SIGMOD | 5.1541298e-05 |
| 10,278 | Redbench: Workload Synthesis From Cloud Traces | 2026 | VLDB | 5.0334833e-05 |
| 10,429 | Survivorship Bias in Industrial Database Workloads | 2026 | CIDR | 4.9605343e-05 |
| 10,822 | Toward Drift-Aware Database Benchmarking | 2026 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 501 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | 2024 | SIGMOD | 0.00017239952 |
| 1,791 | Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet | 2024 | VLDB | 9.6212919e-05 |
| 1,931 | CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex | 2022 | VLDB | 9.3449634e-05 |
| 2,227 | GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization | 2024 | VLDB | 8.7924681e-05 |
| 4,508 | LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning | 2022 | SIGMOD | 6.5553854e-05 |
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