Automatic SQL Tuning in Oracle 10g
Summary: Automatic SQL Tuning in Oracle 10g embeds self-tuning in the optimizer via SQL profiling to improve plans. It delivers cost-based access-path and what-if analyses via GUI/CLI for automated, workload-driven tuning, outperforming manual tuning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Benoit Dageville (Oracle)
- 2. Dinesh Das (Oracle)
- 3. Karl Dias (Oracle)
- 4. Khaled Yagoub (Oracle)
- 5. Mohamed Zait (Oracle)
- 6. Mohamed Ziauddin (Oracle)
BibTeX Citation
@article{dageville_vldb04,
title = {{Automatic SQL Tuning in Oracle 10g}},
author = {Dageville, Benoit and Das, Dinesh and Dias, Karl and Yagoub, Khaled and Zait, Mohamed and Ziauddin, Mohamed},
journal = {PVLDB},
series = {{VLDB} '04},
pages = {1098--1109},
doi = {10.1016/B978-012088469-8.50096-6},
url = {https://doi.org/10.1016/B978-012088469-8.50096-6},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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