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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee

Summary: Proposes distribution precision as a strict error guarantee for AQP of group-by aggregates, enabling distribution-level accuracy rather than point estimates. Introduces measure-biased sampling and two in-memory indexes to support selective predicates and any aggregate estimate, delivering ~100x speedups with ~5% distribution error vs a commercial DB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h00be92bca8c23e8f
Venue
SIGMOD
Year
2016
Pagerank
9.2071735e-05
Overall Rank
2,003 | 86.54%
DOI
10.1145/2882903.2915249

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ding_sigmod16,
        title = {{Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee}},
        author = {Ding, Bolin and Huang, Silu and Chaudhuri, Surajit and Chakrabarti, Kaushik and Wang, Chi},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2915249},
        url = {https://dl.acm.org/doi/10.1145/2882903.2915249},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 29 of 29 citing papers.

Rank Citing Paper Year Venue Pagerank
795 Random Sampling over Joins Revisited 2018 SIGMOD 0.00013934719
1,061 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00012208639
1,370 Towards Scalable Dataframe Systems 2020 VLDB 0.00010895207
3,132 Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates 2019 CIDR 7.6107287e-05
3,424 AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics 2018 SIGMOD 7.3084429e-05
4,254 Sample Debiasing in the Themis Open World Database System 2020 SIGMOD 6.698367e-05
4,305 Data Series Progressive Similarity Search with Probabilistic Quality Guarantees 2020 SIGMOD 6.6740088e-05
5,025 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.3078009e-05
5,379 At-the-time and Back-in-time Persistent Sketches 2021 SIGMOD 6.1540191e-05
5,930 Hillview: A trillion-cell spreadsheet for big data 2019 VLDB 5.9410245e-05
6,202 Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing 2021 SIGMOD 5.8494367e-05
6,319 Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees 2024 VLDB 5.8133264e-05
6,698 MOST: Model-Based Compression with Outlier Storage for Time Series Data 2023 SIGMOD 5.7040999e-05
6,878 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.6563449e-05
7,212 Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization 2020 SIGMOD 5.581834e-05
7,662 Continuous Prefetch for Interactive Data Applications 2020 VLDB 5.4746904e-05
7,983 Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines 2024 VLDB 5.4111208e-05
8,289 Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters 2019 VLDB 5.360349e-05
8,367 Probabilistic Database Summarization for Interactive Data Exploration 2017 VLDB 5.344711e-05
8,667 ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation 2023 VLDB 5.2905894e-05
8,771 One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees 2022 SIGMOD 5.2808131e-05
8,851 Data Driven Approximation with Bounded Resources 2017 VLDB 5.2634608e-05
8,953 Practical Dynamic Extension for Sampling Indexes 2023 SIGMOD 5.2517412e-05
10,317 AB-tree: Index for Concurrent Random Sampling and Updates 2022 VLDB 5.0363234e-05
10,617 Visualization-Oriented Progressive Time Series Transformation 2026 SIGMOD 4.9769913e-05
10,734 Secure Multi-Party Sampling over Joins 2026 VLDB 4.9769913e-05
11,193 FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network 2025 SIGMOD 4.9769913e-05
11,800 Approximate Queries over Concurrent Updates 2023 VLDB 4.9769913e-05
12,045 FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data 2021 VLDB 4.9769913e-05
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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.

Rank Cited Paper Year Venue Pagerank
9 Online Aggregation 1997 SIGMOD 0.00076265429
88 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00035340164
222 Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets 1999 SIGMOD 0.00024210103
295 Towards Estimation Error Guarantees for Distinct Values 2000 PODS 0.00021908194
309 Approximate Query Processing Using Wavelets 2000 VLDB 0.00021376597
335 The Aqua Approximate Query Answering System 1999 SIGMOD 0.000206533
372 Approximate Query Processing: Taming the TeraBytes! A Tutorial 2001 VLDB 0.0001971778
564 Congressional Samples for Approximate Answering of Group-By Queries 2000 SIGMOD 0.00016297598
930 Dynamic Sample Selection for Approximate Query Processing 2003 SIGMOD 0.00013009255
1,021 Online Aggregation for Large MapReduce Jobs 2011 VLDB 0.00012437619
1,182 ICICLES: Self-tuning Samples for Approximate Query Answering 2000 VLDB 0.00011615497
1,428 Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems 2014 SIGMOD 0.0001069161
1,608 SciBORQ: Scientific data management with Bounds On Runtime and Quality 2011 CIDR 0.00010085907
1,662 Rapid Sampling for Visualizations with Ordering Guarantees 2015 VLDB 9.9502569e-05
1,916 The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing 2014 SIGMOD 9.3822742e-05
2,219 DAQ: A New Paradigm for Approximate Query Processing 2015 VLDB 8.8127129e-05
2,654 A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries 2001 SIGMOD 8.1670397e-05
3,303 Optimal and Approximate Computation of Summary Statistics for Range Aggregates 2001 PODS 7.4400795e-05
3,553 Interactive Analysis of Web-Scale Data 2009 CIDR 7.20663e-05
5,535 Fast and Near–Optimal Algorithms for Approximating Distributions by Histograms 2015 PODS 6.0905677e-05
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