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Iterative Query Processing based on Unified Optimization Techniques

Summary: Unified optimization for iterative HTAP query processing that spans procedural control flow and declarative SQL. Introduces query motion to move SQL in/out of loops and a cross-layer cost model for iteration-aware plan evaluation, delivering up to an order-of-magnitude gain over loop-invariant code motion. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5831
Venue
SIGMOD
Year
2019
Pagerank
6.0171458e-05
Overall Rank
5,991 | 58.90%
DOI
10.1145/3299869.3324960

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{park_sigmod19,
        title = {{Iterative Query Processing based on Unified Optimization Techniques}},
        author = {Park, Kisung and Seo, Hojin and Rasel, Mostofa Kamal and Lee, Young-Koo and Jeong, Chanho and Lee, Sung Yeol and Lee, Chungmin and Lee, Dong-Hun},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3324960},
        url = {https://dl.acm.org/doi/10.1145/3299869.3324960},
        year = {2019}
}

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