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STHoles: A Multidimensional Workload-Aware Histogram

Summary: STHoles is a workload-aware multidimensional histogram with nested buckets that capture uniform-density regions. Built without scanning data, it uses query results to place buckets where the workload concentrates, yielding accurate selectivity and often outperforming data-driven histograms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3332
Venue
SIGMOD
Year
2001
Pagerank
0.00020041735
Overall Rank
365 | 97.50%
DOI
10.1145/375663.375686

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bruno_sigmod01,
        title = {{STHoles: A Multidimensional Workload-Aware Histogram}},
        author = {Bruno, Nicolas and Chaudhuri, Surajit and Gravano, Luis},
        series = {{SIGMOD} '01},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/375663.375686},
        url = {https://dl.acm.org/doi/10.1145/375663.375686},
        year = {2001}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 71 citing papers.

Rank Citing Paper Year Venue Pagerank
159 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00028129426
257 The History of Histograms (abridged) 2003 VLDB 0.00023154793
363 Approximate Query Processing: Taming the TeraBytes! A Tutorial 2001 VLDB 0.0002005475
401 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019092557
664 Exploiting Statistics on Query Expressions for Optimization 2002 SIGMOD 0.00015167825
682 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00015014887
697 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014888851
723 Dynamic Multidimensional Histograms 2002 SIGMOD 0.00014620977
938 Flexible Database Generators 2005 VLDB 0.00013089351
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
1,143 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00011999403
1,170 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011827259
1,256 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011457194
1,266 Compressing SQL Workloads 2002 SIGMOD 0.00011412078
1,310 A Privacy-Preserving Index for Range Queries 2004 VLDB 0.00011209219
1,503 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.000105564
1,573 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010328171
1,876 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.5717543e-05
1,936 Consistently Estimating the Selectivity of Conjuncts of Predicates 2005 VLDB 9.4557372e-05
1,988 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 9.3501502e-05
2,121 SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads 2003 VLDB 9.1402718e-05
2,150 Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries 2008 VLDB 9.081101e-05
2,157 A Black-Box Approach to Query Cardinality Estimation 2007 CIDR 9.0625592e-05
2,203 Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models 2017 VLDB 8.9610447e-05
2,204 Automatic Categorization of Query Results 2004 SIGMOD 8.959723e-05
2,269 GORDIAN: Efficient and Scalable Discovery of Composite Keys 2006 VLDB 8.8328424e-05
2,369 Data Generation using Declarative Constraints 2011 SIGMOD 8.682429e-05
2,578 Query Optimization over Web Services 2006 VLDB 8.3919147e-05
2,620 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 8.3363963e-05
2,991 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.8880723e-05
3,086 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 7.7708642e-05
3,162 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.6785856e-05
3,309 Conditional Selectivity for Statistics on Query Expressions 2004 SIGMOD 7.5368417e-05
3,545 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 7.3249967e-05
3,935 Output Perturbation with Query Relaxation 2008 VLDB 7.0083453e-05
4,349 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 6.7504619e-05
4,405 DigitHist: a Histogram-Based Data Summary with Tight Error Bounds 2017 VLDB 6.7218674e-05
4,438 XPathLearner: An On-Line Self-Tuning Markov Histogram for XML Path Selectivity Estimation 2002 VLDB 6.7061802e-05
4,591 Automated Statistics Collection in DB2 UDB 2004 VLDB 6.614318e-05
4,612 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 6.6072026e-05
4,945 Lightweight Cardinality Estimation in LSM-based Systems 2018 SIGMOD 6.4321265e-05
5,105 SAM: Database Generation from Query Workloads with Supervised Autoregressive Models 2022 SIGMOD 6.3628539e-05
5,459 Bloom Histogram: Path Selectivity Estimation for XML Data with Updates 2004 VLDB 6.2108888e-05
5,792 Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2022 VLDB 6.0871213e-05
6,084 Efficient Detection of Empty-Result Queries 2006 VLDB 5.9830699e-05
6,138 Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics 2016 SIGMOD 5.9640712e-05
6,323 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 5.9141228e-05
6,804 A Neural Database for Differentially Private Spatial Range Queries 2022 VLDB 5.768025e-05
7,177 Distributed Top-N Query Processing with Possibly Uncooperative Local Systems 2003 VLDB 5.6806091e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Rank Cited Paper Year Venue Pagerank
35 Improved Histograms for Selectivity Estimation of Range Predicates 1996 SIGMOD 0.00048481081
36 Accurate Estimation Of The Number Of Tuples Satisfying A Condition 1984 SIGMOD 0.00048351457
101 Selectivity Estimation Without the Attribute Value Independence Assumption 1997 VLDB 0.00034376651
118 Equi-Depth Histograms For Estimating Selectivity Factors For Multi-Dimensional Queries 1988 SIGMOD 0.00031922279
168 Wavelet-Based Histograms for Selectivity Estimation 1998 SIGMOD 0.00027541029
222 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00024193708
235 Fast Incremental Maintenance of Approximate Histograms 1997 VLDB 0.00023783792
267 Optimal Histograms with Quality Guarantees 1998 VLDB 0.00022798161
274 Balancing Histogram Optimality and Practicality for Query Result Size Estimation 1995 SIGMOD 0.00022645621
435 Histogram-Based Approximation of Set-Valued Query Answers 1999 VLDB 0.000185063
448 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00018292618
850 Approximating Multi-Dimensional Aggregate Range Queries Over Real Attributes 2000 SIGMOD 0.00013619394
1,053 Multi-dimensional Selectivity Estimation Using Compressed Histogram Information 1999 SIGMOD 0.00012401532
1,370 Towards an Analysis of Range Query Performance in Spatial Data Structures 1993 PODS 0.00010997795
Previous Page 1 / 1 Next

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