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Approximation Schemes for Many-Objective Query Optimization

Summary: Approximation schemes for MOQO with guaranteed near-optimal plans, far faster than exhaustive MOQO. Integrates into Postgres with a cost model for up to nine objectives; validated on TPC-H, guided by cost-function analysis for future MOQO. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4960
Venue
SIGMOD
Year
2014
Pagerank
6.3567981e-05
Overall Rank
5,124 | 64.85%
DOI
10.1145/2588555.2610527

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BibTeX Citation

@inproceedings{trummer_sigmod14,
        title = {{Approximation Schemes for Many-Objective Query Optimization}},
        author = {Trummer, Immanuel and Koch, Christoph},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2610527},
        url = {https://dl.acm.org/doi/10.1145/2588555.2610527},
        year = {2014}
}

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