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SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads

Summary: SQLBarber uses LLMs to synthesize realistic, customizable SQL workloads from natural-language constraints, avoiding hand-written templates. It couples self-correcting template generation with Bayesian cost targeting to match production-derived cardinality/plan-cost distributions and scales to large benchmark synthesis. (summarized by gpt-5-mini on Apr 11 2026)

Paper ID
h0393498bbd9d37a5
Venue
SIGMOD
Year
2026
Pagerank
5.1736782e-05
Overall Rank
9,454 | 36.44%
DOI
10.1145/3786699

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lao_sigmod26,
        title = {{SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads}},
        author = {Lao, Jiale and Trummer, Immanuel},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786699},
        url = {https://dl.acm.org/doi/10.1145/3786699},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,242 Redbench: Workload Synthesis From Cloud Traces 2026 VLDB 5.0525742e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061066921
533 CodeS: Towards Building Open-source Language Models for Text-to-SQL 2024 SIGMOD 0.00016826571
669 CAESURA: Language Models as Multi-Modal Query Planners 2024 CIDR 0.0001495987
748 Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing 2025 CIDR 0.00014281926
1,250 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00011339256
1,839 Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet 2024 VLDB 9.5304799e-05
1,890 Generating Targeted Queries for Database Testing 2008 SIGMOD 9.4193315e-05
1,975 CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex 2022 VLDB 9.2807031e-05
2,039 LLM-R^2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency 2025 VLDB 9.1493268e-05
2,231 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.7982985e-05
2,450 ThalamusDB: Approximate Query Processing on Multi-Modal Data 2024 SIGMOD 8.4474092e-05
3,316 Cloud Analytics Benchmark 2023 VLDB 7.4373161e-05
4,132 SQLStorm: Taking Database Benchmarking into the LLM Era 2025 VLDB 6.7885553e-05
4,468 Real-time Workload Pattern Analysis for Large-scale Cloud Databases 2023 VLDB 6.5863349e-05
4,482 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 6.5802486e-05
5,209 SAM: Database Generation from Query Workloads with Supervised Autoregressive Models 2022 SIGMOD 6.2262056e-05
5,501 SemBench: A Benchmark for Semantic Query Processing Engines 2026 VLDB 6.1027188e-05
7,070 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.6080535e-05
7,864 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.4367919e-05
8,036 Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads 2025 SIGMOD 5.4025086e-05
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