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Robust Query Processing through Progressive Optimization

Summary: Progressive query optimization (POP) detects cardinality errors during execution and re-optimizes plans in a commercial DBMS. CHECK operators compute a validity range via a sensitivity analysis; when violated, re-optimization uses partial results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3619
Venue
SIGMOD
Year
2004
Pagerank
0.0001756877
Overall Rank
492 | 96.63%
DOI
10.1145/1007568.1007642

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{markl_sigmod04,
        title = {{Robust Query Processing through Progressive Optimization}},
        author = {Markl, Volker and Raman, Vijayshankar and Simmen, David and Lohman, Guy and Pirahesh, Hamid and Cilimdzic, Miso},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007642},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007642},
        year = {2004}
}

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