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Correlation Maps: A Compressed Access Method for Exploiting Soft Functional Dependencies

Summary: Proposes Correlation Maps (CMs), a compressed access structure that exploits soft functional dependencies between a clustered attribute and unclustered predicates to localize lookups and cut random I/O. Bucketing domains makes CMs orders of magnitude smaller, enabling many CMs; an analytic cost model and automatic pair suggestions drive scalable, low-maintenance query acceleration, demonstrated on SDSS and TPC-H. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10042
Venue
VLDB
Year
2009
Pagerank
8.7808696e-05
Overall Rank
2,302 | 84.21%
DOI
10.14778/1687627.1687765

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kimura_vldb09,
        title = {{Correlation Maps: A Compressed Access Method for Exploiting Soft Functional Dependencies}},
        author = {Kimura, Hideaki and Huo, George and Rasin, Alexander and Madden, Samuel and Zdonik, Stanley B.},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687765},
        url = {https://doi.org/10.14778/1687627.1687765},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 19 of 19 citing papers.

Rank Citing Paper Year Venue Pagerank
790 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.0001401445
873 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013481915
1,174 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011817414
2,213 Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations 2019 SIGMOD 8.9410226e-05
3,137 Pushing Data-Induced Predicates Through Joins in Big-Data Clusters 2020 VLDB 7.7204167e-05
3,449 CORADD: Correlation Aware Database Designer for Materialized Views and Indexes 2010 VLDB 7.4074656e-05
3,945 Exploiting Correlations for Expensive Predicate Evaluation 2015 SIGMOD 7.0055154e-05
5,176 Predicting Cost Amortization for Query Services 2011 SIGMOD 6.3326746e-05
6,031 Sia: Optimizing Queries using Learned Predicates 2021 SIGMOD 6.0007422e-05
6,042 Pando: Enhanced Data Skipping with Logical Data Partitioning 2023 VLDB 5.9970052e-05
6,044 Exploiting Soft and Hard Correlations in Big Data Query Optimization 2016 VLDB 5.995949e-05
7,553 UPI: A Primary Index for Uncertain Databases 2010 VLDB 5.6004812e-05
8,413 Conditional Cuckoo Filters 2021 SIGMOD 5.4306049e-05
9,561 Leveraging Application Data Constraints to Optimize Database-Backed Web Applications 2023 VLDB 5.2528121e-05
9,648 AMNES: Accelerating the computation of data correlation using FPGAs 2023 VLDB 5.2430158e-05
10,621 Scalable Grid-based Computation of Kendall's tau Correlation 2026 VLDB 5.093636e-05
10,672 Optimizing Block Skipping for High-Dimensional Data with Learned Adaptive Curve 2025 SIGMOD 5.093636e-05
11,166 PLAQUE: Automated Predicate Learning at Query Time 2024 SIGMOD 5.093636e-05
11,878 HERMIT in Action: Succinct Secondary Indexing Mechanism via Correlation Exploration 2019 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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