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Self-tuning Histograms: Building Histograms Without Looking at Data

Summary: Self-tuning histograms infer distributions from query-execution feedback, not data samples, and refine via range-selectivity observations. Data-size independent, cheaper than multi-dimensional histograms; effective for low–moderate skew, with initialization/refinement techniques and experimental validation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hdcfd44ae6c3d1545
Venue
SIGMOD
Year
1999
Pagerank
0.00017915659
Overall Rank
457 | 96.94%
DOI
10.1145/304182.304198

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{aboulnaga_sigmod99,
        title = {{Self-tuning Histograms: Building Histograms Without Looking at Data}},
        author = {Aboulnaga, Ashraf and Chaudhuri, Surajit},
        series = {{SIGMOD} '99},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/304182.304198},
        url = {https://dl.acm.org/doi/10.1145/304182.304198},
        year = {1999}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 57 citing papers.

Rank Citing Paper Year Venue Pagerank
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034050614
160 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00027775994
254 The History of Histograms (abridged) 2003 VLDB 0.00022999992
316 Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries 2001 VLDB 0.00021238056
372 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00019768921
374 Approximate Query Processing: Taming the TeraBytes! A Tutorial 2001 VLDB 0.00019698889
545 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001657599
646 Exploiting Statistics on Query Expressions for Optimization 2002 SIGMOD 0.00015166402
676 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00014838681
690 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014703258
745 Dynamic Multidimensional Histograms 2002 SIGMOD 0.00014267268
868 Approximating Multi-Dimensional Aggregate Range Queries Over Real Attributes 2000 SIGMOD 0.00013336675
958 Flexible Database Generators 2005 VLDB 0.00012834376
1,006 Dynamic Maintenance of Wavelet-Based Histograms 2000 VLDB 0.00012551491
1,064 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012181459
1,156 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011759683
1,159 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00011739527
1,246 Compressing SQL Workloads 2002 SIGMOD 0.00011355447
1,513 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 0.00010394557
1,587 Estimating Progress of Execution for SQL Queries 2004 SIGMOD 0.00010119368
1,614 SciBORQ: Scientific data management with Bounds On Runtime and Quality 2011 CIDR 0.00010054823
1,935 Consistently Estimating the Selectivity of Conjuncts of Predicates 2005 VLDB 9.3407959e-05
1,987 Plan Bouquets: Query Processing without Selectivity Estimation 2014 SIGMOD 9.2323722e-05
2,154 SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads 2003 VLDB 8.9382906e-05
2,174 A Black-Box Approach to Query Cardinality Estimation 2007 CIDR 8.9067128e-05
2,419 Towards Elastic Transactional Cloud Storage with Range Query Support 2010 VLDB 8.4818595e-05
2,768 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 8.0199086e-05
2,888 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.8895201e-05
2,987 Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs 2022 VLDB 7.767043e-05
3,060 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 7.6828463e-05
3,062 Towards a Hands-Free Query Optimizer through Deep Learning 2019 CIDR 7.6809918e-05
3,081 Pushing Data-Induced Predicates Through Joins in Big-Data Clusters 2020 VLDB 7.6515625e-05
3,212 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.5145409e-05
3,371 Conditional Selectivity for Statistics on Query Expressions 2004 SIGMOD 7.3493132e-05
3,531 Identifying Robust Plans through Plan Diagram Reduction 2008 VLDB 7.2065332e-05
3,653 Optimal Histograms for Hierarchical Range Queries (Extended Abstract) 2000 PODS 7.1149642e-05
3,858 Graph-Based Synopses for Relational Selectivity Estimation 2006 SIGMOD 6.9543709e-05
4,268 Primitives for Workload Summarization and Implications for SQL 2003 VLDB 6.6784565e-05
4,480 DigitHist: a Histogram-Based Data Summary with Tight Error Bounds 2017 VLDB 6.566036e-05
4,545 XPathLearner: An On-Line Self-Tuning Markov Histogram for XML Path Selectivity Estimation 2002 VLDB 6.5366364e-05
4,672 Automated Statistics Collection in DB2 UDB 2004 VLDB 6.4593469e-05
5,056 Lightweight Cardinality Estimation in LSM-based Systems 2018 SIGMOD 6.282339e-05
5,490 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 6.0970166e-05
5,854 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 5.9520525e-05
6,224 Efficient Detection of Empty-Result Queries 2006 VLDB 5.828372e-05
6,672 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 5.6975871e-05
6,725 Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis 2023 VLDB 5.6826988e-05
7,094 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 5.5863735e-05
7,542 Comparing Synopsis Techniques for Approximate Spatial Data Analysis 2019 VLDB 5.4821664e-05
7,654 Consistent Histograms In The Presence of Distinct Value Counts 2009 VLDB 5.4588598e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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