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SAM: Database Generation from Query Workloads with Supervised Autoregressive Models

Summary: SAM: supervised autoregressive model to generate synthetic DBs from query workloads. Linear in workload size, attributes, and domain; unbiased sampling with join-key assignment recovers full outer joins, yielding data matching input cardinalities. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6478
Venue
SIGMOD
Year
2022
Pagerank
5.2634242e-05
Overall Rank
5,942 | 58.67%
DOI
10.1145/3514221.3526168

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Showing 17 of 17 cited papers.

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

Rank Cited Paper Year Venue Pagerank
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059038975
147 On the Design and Quantification of Privacy Preserving Data Mining Algorithms 2001 PODS 0.00041235556
204 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034784455
372 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00025354779
512 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00021380733
608 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019235898
629 Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors 2009 VLDB 0.00018942366
758 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.0001706608
888 QAGen: Generating Query-Aware Test Databases 2007 SIGMOD 0.00015578618
910 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423056
1,547 Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions 2011 VLDB 0.00011442359
2,083 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 9.5834572e-05
2,291 Data Generation using Declarative Constraints 2011 SIGMOD 9.0926719e-05
2,421 Data Synthesis based on Generative Adversarial Networks 2018 VLDB 8.8514021e-05
3,924 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 6.6271553e-05
4,517 Generating Databases for Query Workloads 2010 VLDB 6.1178732e-05
4,884 Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration 2020 VLDB 5.8540287e-05
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