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
- 2. Immanuel Trummer
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,981 | Survivorship Bias in Industrial Database Workloads | 2026 | CIDR | 4.1945683e-05 |
| 10,212 | SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads | 2026 | SIGMOD | 4.1945683e-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 |
|---|---|---|---|---|
| 998 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | 2024 | SIGMOD | 0.00014729379 |
| 1,643 | CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex | 2022 | VLDB | 0.0001104256 |
| 3,114 | GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization | 2024 | VLDB | 7.5451724e-05 |
| 3,178 | Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet | 2024 | VLDB | 7.4325992e-05 |
| 5,371 | LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning | 2022 | SIGMOD | 5.5428776e-05 |
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