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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
5079
Venue
SIGMOD
Year
2015
Pagerank
4.8754926e-05
Overall Rank
6,966 | 51.59%
DOI
10.1145/2723372.2750546

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,655 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.3638668e-05
4,200 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 6.3618329e-05
4,573 Incremental View Maintenance over Array Data 2017 SIGMOD 6.0680332e-05
7,397 Intermittent Query Processing 2019 VLDB 4.7367491e-05
8,182 Foreign Keys Open the Door for Faster Incremental View Maintenance 2023 SIGMOD 4.5616384e-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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