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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)

Paper ID
3785
Venue
SIGMOD
Year
2005
Pagerank
-
Overall Rank
13,857 | 4.93%
DOI
10.1145/1066157.1066293

Incoming Non-self Citations Over Time

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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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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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