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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
BibTeX Citation
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@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.
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.
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15
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533
CodeS: Towards Building Open-source Language Models for Text-to-SQL
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669
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2024
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748
Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing
2025
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0.00014281926
1,250
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2022
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0.00011339256
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Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet
2024
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9.5304799e-05
1,890
Generating Targeted Queries for Database Testing
2008
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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
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9.1493268e-05
2,231
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization
2024
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8.7982985e-05
2,450
ThalamusDB: Approximate Query Processing on Multi-Modal Data
2024
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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
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6.5802486e-05
5,209
SAM: Database Generation from Query Workloads with Supervised Autoregressive Models
2022
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6.2262056e-05
5,501
SemBench: A Benchmark for Semantic Query Processing Engines
2026
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7,070
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model
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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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