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Pre-training Summarization Models of Structured Datasets for Cardinality Estimation

Summary: Pre-trained models convert structured datasets into compact summaries for cardinality estimation, eliminating per-dataset training and speeding up summary construction up to 100x. Uses multiple summaries per dataset and learned summaries for hard columnsets; shows shared frequency and correlation patterns learned from a diverse corpus with incremental updates. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h865fbf8594335c4f
Venue
VLDB
Year
2022
Pagerank
5.9737703e-05
Overall Rank
5,840 | 60.74%
DOI
10.14778/3494124.3494127

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lu_vldb22,
        title = {{Pre-training Summarization Models of Structured Datasets for Cardinality Estimation}},
        author = {Lu, Yao and Kandula, Srikanth and König, Arnd Christian and Chaudhuri, Surajit},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {3},
        pages = {414--426},
        doi = {10.14778/3494124.3494127},
        url = {https://doi.org/10.14778/3494124.3494127},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
4,202 Kepler: Robust Learning for Faster Parametric Query Optimization 2023 SIGMOD 6.7374091e-05
5,058 Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing 2022 VLDB 6.2926774e-05
5,683 How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks 2025 SIGMOD 6.0392183e-05
6,818 ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation 2024 SIGMOD 5.672718e-05
7,385 Towards Foundation Database Models 2025 CIDR 5.5385053e-05
8,004 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.4089097e-05
9,976 Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes 2023 SIGMOD 5.1031384e-05
10,184 Path-centric Cardinality Estimation for Subgraph Matching 2025 VLDB 5.0651993e-05
10,216 PRICE: A Pretrained Model for Cross-Database Cardinality Estimation 2025 VLDB 5.0584922e-05
10,693 Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking 2026 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 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
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
124 Approximate Frequency Counts over Data Streams 2002 VLDB 0.00030600691
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
160 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00027837289
169 Wavelet-Based Histograms for Selectivity Estimation 1998 SIGMOD 0.00027134723
255 The History of Histograms (abridged) 2003 VLDB 0.00022981861
286 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.0002211981
295 Towards Estimation Error Guarantees for Distinct Values 2000 PODS 0.00021914399
309 Approximate Query Processing Using Wavelets 2000 VLDB 0.00021384073
318 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021167555
371 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00019829769
406 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019045544
512 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017050173
692 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014741011
701 Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data 2001 SIGMOD 0.00014680907
707 On Synopses for Distinct-Value Estimation Under Multiset Operations 2007 SIGMOD 0.00014640173
1,060 Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions 2011 VLDB 0.00012224575
1,173 Wavelet Synopses with Error Guarantees 2002 SIGMOD 0.00011686985
1,508 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.00010440205
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