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Provenance for SQL through Abstract Interpretation: Value-less, but Worthwhile

Summary: Derives fine-grained where-/why-provenance for rich SQL—including recursion, correlated subqueries, windows, and aggregation—via program slicing and abstract interpretation. A two-stage, largely value-less analysis records control flow/accesses, then computes dependencies without inspecting data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h0b20ad2f35e99660
Venue
VLDB
Year
2015
Pagerank
5.1815574e-05
Overall Rank
9,414 | 36.71%
DOI
10.14778/2824032.2824089

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{muller_vldb15,
        title = {{Provenance for SQL through Abstract Interpretation: Value-less, but Worthwhile}},
        author = {Müller, Tobias and Grust, Torsten},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        doi = {10.14778/2824032.2824089},
        url = {https://doi.org/10.14778/2824032.2824089},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
21 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.00056855599
495 Building Efficient Query Engines in a High-Level Language 2014 VLDB 0.00017370758
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