Automated Statistics Collection in Action
Summary: Automated Statistic Collection (ASC) continuously repairs inaccurate statistics without DBA intervention, adapting to workload changes. Per-table, parameterized statistics tuning and volatility guards keep cardinality estimates aligned, exposing how misestimates propagate to optimizer plans. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
BibTeX Citation
@inproceedings{haas_sigmod05,
title = {{Automated Statistics Collection in Action}},
author = {Haas, P. and Kandil, M. and Lerner, A. and Markl, V. and Popivanov, I. and Raman, V. and Zilio, D.},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066293},
url = {https://dl.acm.org/doi/10.1145/1066157.1066293},
year = {2005}
}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 100 | LEO - DB2's LEarning Optimizer | 2001 | VLDB | 0.00034385207 |
| 4,591 | Automated Statistics Collection in DB2 UDB | 2004 | VLDB | 6.614318e-05 |
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