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Fast Incremental Discovery of Pointwise Order Dependencies

Summary: Incremental discovery of pointwise order dependencies (PODs) under insertions. Uses novel indexing for Sigma and D to detect violations with log(|D|) cost, and a DeltaSigma refinement to update Sigma; experiments show up to orders-of-magnitude speedups over full recomputation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12071
Venue
VLDB
Year
2020
Pagerank
4.9379361e-05
Overall Rank
6,756 | 53.01%
DOI
10.14778/3401960.3401965

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
8,703 Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization 2022 CIDR 4.4647237e-05
8,836 Fast Approximate Denial Constraint Discovery 2023 VLDB 4.4393184e-05
9,749 Efficient Differential Dependency Discovery 2024 VLDB 4.2897489e-05
10,489 Incremental Rule Discovery in Response to Parameter Updates 2025 SIGMOD 4.1945683e-05
11,001 Capturing More Associations by Referencing External Graphs 2024 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

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