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Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities

Summary: New pessimistic upper bounds for multi-join cardinalities using randomized hashing and data sketches; these bounds feed a cost-based optimizer to prune expensive plans. Partition budgeting enforces monotonicity amid non-monotone tightness, delivering 1.7x–10x runtime gains on JOB and GooglePlus with/without foreign keys. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5768
Venue
SIGMOD
Year
2019
Pagerank
0.00010564536
Overall Rank
1,499 | 89.72%
DOI
10.1145/3299869.3319894

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cai_sigmod19,
        title = {{Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities}},
        author = {Cai, Walter and Balazinska, Magdalena and Suciu, Dan},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3319894},
        url = {https://dl.acm.org/doi/10.1145/3299869.3319894},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 47 of 47 citing papers.

Rank Citing Paper Year Venue Pagerank
1,061 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012369764
1,122 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.0001209124
1,170 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011827259
1,876 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.5717543e-05
2,620 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 8.3363963e-05
2,731 Neural Subgraph Counting with Wasserstein Estimator 2022 SIGMOD 8.1959181e-05
2,940 G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching 2020 SIGMOD 7.9381573e-05
2,991 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.8880723e-05
3,070 Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs 2022 VLDB 7.7900444e-05
3,086 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 7.7708642e-05
3,283 A Learned Sketch for Subgraph Counting 2021 SIGMOD 7.56675e-05
3,338 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.5068221e-05
3,959 Simplicity Done Right for Join Ordering 2021 CIDR 6.9879431e-05
4,368 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.7393882e-05
4,900 COMPASS: Online Sketch-based Query Optimization for In-Memory Databases 2021 SIGMOD 6.4534715e-05
5,011 Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach 2020 SIGMOD 6.4020848e-05
5,277 FASTgres: Making Learned Query Optimizer Hinting Effective 2023 VLDB 6.2859099e-05
5,368 Density-optimized Intersection-free Mapping and Matrix Multiplication for Join-Project Operations 2022 VLDB 6.2448114e-05
5,576 SafeBound: A Practical System for Generating Cardinality Bounds 2023 SIGMOD 6.1663946e-05
5,639 LpBound: Pessimistic Cardinality Estimation using ℓp-Norms of Degree Sequences 2025 SIGMOD 6.1385102e-05
6,257 Join Size Bounds using l_p-Norms on Degree Sequences 2024 PODS 5.9397944e-05
6,325 Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation 2021 SIGMOD 5.9125893e-05
6,434 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 5.8799421e-05
6,704 ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation 2024 SIGMOD 5.797374e-05
7,193 dbET: Execution Time Distribution-based Plan Selection 2023 SIGMOD 5.6770249e-05
7,503 Disclosure-Compliant Query Answering 2024 SIGMOD 5.6029996e-05
7,747 Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries 2024 SIGMOD 5.5529458e-05
7,967 Thrifty Query Execution via Incrementability 2020 SIGMOD 5.5169373e-05
8,310 TreeSensing: Linearly Compressing Sketches with Flexibility 2023 SIGMOD 5.4556836e-05
8,513 Galley: Modern Query Optimization for Sparse Tensor Programs 2025 SIGMOD 5.4119882e-05
8,581 PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation 2021 VLDB 5.4082749e-05
9,027 JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation 2023 SIGMOD 5.3293224e-05
9,756 Efficient Query Re-optimization with Judicious Subquery Selections 2023 SIGMOD 5.2258278e-05
9,793 Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes 2023 SIGMOD 5.2193018e-05
9,994 Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints 2025 PODS 5.1814573e-05
9,996 Path-centric Cardinality Estimation for Subgraph Matching 2025 VLDB 5.1814573e-05
10,016 Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections 2022 VLDB 5.1764556e-05
10,027 Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation 2025 VLDB 5.1745962e-05
10,108 An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL 2025 SIGMOD 5.1347137e-05
10,148 Size Bound-Adorned Datalog 2026 PODS 5.093636e-05
10,296 Succinct Structure Representations for Efficient Query Optimization 2026 SIGMOD 5.093636e-05
10,438 CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations 2026 SIGMOD 5.093636e-05
10,726 LpBound in Action: Cardinality Estimation with One-Sided Guarantees 2025 SIGMOD 5.093636e-05
10,765 HoneyComb: A Parallel Worst-Case Optimal Join on Multicores 2025 SIGMOD 5.093636e-05
10,885 Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning Based Approach 2025 VLDB 5.093636e-05
11,160 Sub-optimal Join Order Identification with L1-error 2024 SIGMOD 5.093636e-05
11,194 Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality 2024 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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