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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
5338
Venue
SIGMOD
Year
2016
Pagerank
9.3978414e-05
Overall Rank
1,962 | 86.55%
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
802 Random Sampling over Joins Revisited 2018 SIGMOD 0.00013907725
1,108 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00012145154
1,431 Towards Scalable Dataframe Systems 2020 VLDB 0.00010807221
3,215 Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates 2019 CIDR 7.6324234e-05
3,366 AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics 2018 SIGMOD 7.4748604e-05
4,205 Sample Debiasing in the Themis Open World Database System 2020 SIGMOD 6.8337021e-05
4,212 Data Series Progressive Similarity Search with Probabilistic Quality Guarantees 2020 SIGMOD 6.8283344e-05
4,926 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.4428362e-05
5,255 At-the-time and Back-in-time Persistent Sketches 2021 SIGMOD 6.2982495e-05
6,028 Hillview: A trillion-cell spreadsheet for big data 2019 VLDB 6.0019322e-05
6,180 Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees 2024 VLDB 5.949572e-05
6,206 Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing 2021 SIGMOD 5.9443409e-05
6,590 MOST: Model-Based Compression with Outlier Storage for Time Series Data 2023 SIGMOD 5.8316635e-05
6,737 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.7875328e-05
7,129 Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization 2020 SIGMOD 5.694968e-05
7,510 Continuous Prefetch for Interactive Data Applications 2020 VLDB 5.6029996e-05
7,847 Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines 2024 VLDB 5.5330423e-05
8,108 Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters 2019 VLDB 5.4850569e-05
8,191 Probabilistic Database Summarization for Interactive Data Exploration 2017 VLDB 5.4699738e-05
8,492 ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation 2023 VLDB 5.4145838e-05
8,608 One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees 2022 SIGMOD 5.4024561e-05
8,701 Data Driven Approximation with Bounded Resources 2017 VLDB 5.3828806e-05
8,790 Practical Dynamic Extension for Sampling Indexes 2023 SIGMOD 5.3722049e-05
10,093 AB-tree: Index for Concurrent Random Sampling and Updates 2022 VLDB 5.1530576e-05
10,415 Visualization-Oriented Progressive Time Series Transformation 2026 SIGMOD 5.093636e-05
10,542 Secure Multi-Party Sampling over Joins 2026 VLDB 5.093636e-05
10,760 FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network 2025 SIGMOD 5.093636e-05
11,484 Approximate Queries over Concurrent Updates 2023 VLDB 5.093636e-05
11,736 FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data 2021 VLDB 5.093636e-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 0.00077458002
87 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00035281619
213 Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets 1999 SIGMOD 0.00024723025
288 Towards Estimation Error Guarantees for Distinct Values 2000 PODS 0.00022296371
307 Approximate Query Processing Using Wavelets 2000 VLDB 0.00021792475
327 The Aqua Approximate Query Answering System 1999 SIGMOD 0.00021091539
363 Approximate Query Processing: Taming the TeraBytes! A Tutorial 2001 VLDB 0.0002005475
553 Congressional Samples for Approximate Answering of Group-By Queries 2000 SIGMOD 0.00016590619
909 Dynamic Sample Selection for Approximate Query Processing 2003 SIGMOD 0.00013291205
1,009 Online Aggregation for Large MapReduce Jobs 2011 VLDB 0.00012684342
1,166 ICICLES: Self-tuning Samples for Approximate Query Answering 2000 VLDB 0.00011850439
1,401 Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems 2014 SIGMOD 0.00010889902
1,582 SciBORQ: Scientific data management with Bounds On Runtime and Quality 2011 CIDR 0.00010295367
1,634 Rapid Sampling for Visualizations with Ordering Guarantees 2015 VLDB 0.00010163938
1,872 The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing 2014 SIGMOD 9.5759874e-05
2,206 DAQ: A New Paradigm for Approximate Query Processing 2015 VLDB 8.957715e-05
2,608 A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries 2001 SIGMOD 8.347674e-05
3,241 Optimal and Approximate Computation of Summary Statistics for Range Aggregates 2001 PODS 7.6057671e-05
3,497 Interactive Analysis of Web-Scale Data 2009 CIDR 7.3634378e-05
5,421 Fast and Near–Optimal Algorithms for Approximating Distributions by Histograms 2015 PODS 6.2245831e-05
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