On the Complexity of Approximate Query Optimization
Summary: Proves strong inapproximability of join-order optimization: for any δ>0 finding a join order within factor 2^{Θ(log^{1-δ} K)} of optimal K is NP-hard. Hardness holds across a wide range of query-graph densities, so no polylog-competitive polytime optimizer unless P=NP. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. S. Chatterji (University of California Berkeley)
- 2. S.S.K. Evani (Sun Microsystems)
- 3. S. Ganguly (AT&T)
- 4. M.D. Yemmanuru (Sun Microsystems)
BibTeX Citation
@inproceedings{chatterji_pods02,
address = {New York, NY, USA},
series = {{PODS} '02},
title = {{On the Complexity of Approximate Query Optimization}},
url = {https://dl.acm.org/doi/10.1145/543613.543650},
doi = {10.1145/543613.543650},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Chatterji, S. and Evani, S.S.K. and Ganguly, S. and Yemmanuru, M.D.},
year = {2002}
}
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