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Utilizing IDs to Accelerate Incremental View Maintenance

Summary: ID-based IVM (idIVM) uses ID-diff sets and keys to pinpoint modified view tuples, supporting a broad SQL subset (select, join, group/agg, projections, antisemijoin, union). Four-pass plan; modular extension; formal and empirical evaluation vs prior IVM. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5140
Venue
SIGMOD
Year
2015
Pagerank
5.7873433e-05
Overall Rank
6,739 | 53.77%
DOI
10.1145/2723372.2750546

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{katsis_sigmod15,
        title = {{Utilizing IDs to Accelerate Incremental View Maintenance}},
        author = {Katsis, Yannis and Ong, Kian Win and Papakonstantinou, Yannis and Zhao, Kevin Keliang},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2750546},
        url = {https://dl.acm.org/doi/10.1145/2723372.2750546},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,195 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.9713779e-05
3,206 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 7.6367549e-05
4,406 Incremental View Maintenance over Array Data 2017 SIGMOD 6.7191598e-05
7,200 Intermittent Query Processing 2019 VLDB 5.6756294e-05
8,181 Foreign Keys Open the Door for Faster Incremental View Maintenance 2023 SIGMOD 5.4721346e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

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