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Two-Level Sampling for Join Size Estimation

Summary: Two-Level Sampling for Join Size Estimation proposes a one-pass, hybrid method for join cardinality. It leverages l_k-norms and heavy hitters to deliver accurate estimates for PK–FK, many-to-many, and complex joins with simple implementation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h2527308ceaa47f6f
Venue
SIGMOD
Year
2017
Pagerank
9.9088372e-05
Overall Rank
1,678 | 88.72%
DOI
10.1145/3035918.3035921

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod17,
        title = {{Two-Level Sampling for Join Size Estimation}},
        author = {Chen, Yu and Yi, Ke},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3035921},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035921},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 28 of 28 citing papers.

Rank Citing Paper Year Venue Pagerank
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
1,465 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 0.00010576304
2,824 G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching 2020 SIGMOD 7.9698957e-05
3,090 Correlation Sketches for Approximate Join-Correlation Queries 2021 SIGMOD 7.6584982e-05
3,210 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.5363533e-05
3,424 AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics 2018 SIGMOD 7.3117029e-05
3,494 On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms 2023 PODS 7.2582926e-05
3,982 Simplicity Done Right for Join Ordering 2021 CIDR 6.8750228e-05
4,311 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 6.6727978e-05
5,021 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.3106761e-05
5,241 FASTgres: Making Learned Query Optimizer Hinting Effective 2023 VLDB 6.2154384e-05
5,831 Joins on Samples: A Theoretical Guide for Practitioners 2020 VLDB 5.9782109e-05
5,902 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 5.9536872e-05
7,234 Hypothetical Reasoning via Provenance Abstraction 2019 SIGMOD 5.5792063e-05
7,364 Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries 2021 SIGMOD 5.5418075e-05
8,347 alpha to omega: The Greek Alphabet of Sampling 2020 CIDR 5.350539e-05
8,421 Sampling Methods for Inner Product Sketching 2024 VLDB 5.3350162e-05
8,580 Conditional Cuckoo Filters 2021 SIGMOD 5.3100462e-05
8,659 ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation 2023 VLDB 5.2930951e-05
8,770 One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees 2022 SIGMOD 5.2812395e-05
9,910 Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects 2025 VLDB 5.1103839e-05
10,627 CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations 2026 SIGMOD 4.9793485e-05
11,280 Evaluating Methods for Efficient Entity Count Estimation 2025 VLDB 4.9793485e-05
11,290 Cardinality Estimation for Having-Clauses 2025 VLDB 4.9793485e-05
11,443 LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison 2025 VLDB 4.9793485e-05
11,536 Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality 2024 SIGMOD 4.9793485e-05
11,545 SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs 2024 SIGMOD 4.9793485e-05
12,202 Tighter Upper Bounds for Join Cardinality Estimates 2018 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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