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Optimizing Iceberg Queries with Complex Joins

Summary: Framework combining a-priori grouping, memoization, and pruning to optimize iceberg queries over complex joins. Formal correctness conditions, a practical rewrite algorithm, and a PostgreSQL prototype show speedups over baseline PostgreSQL and a commercial DB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5491
Venue
SIGMOD
Year
2017
Pagerank
5.5272726e-05
Overall Rank
7,870 | 46.01%
DOI
10.1145/3035918.3064053

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{walenz_sigmod17,
        title = {{Optimizing Iceberg Queries with Complex Joins}},
        author = {Walenz, Brett and Roy, Sudeepa and Yang, Jun},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3064053},
        url = {https://dl.acm.org/doi/10.1145/3035918.3064053},
        year = {2017}
}

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