Adaptive Statistics in Oracle 12c

Summary: Oracle 12c tackles optimizer errors from inaccurate intermediate-result cardinalities. It automatically validates estimates and builds auxiliary statistics on demand, using sampling and caching to limit overhead, with gains shown on IMDB and customer workloads. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 11651
Venue: VLDB
Year: 2017
Pagerank: 6.7873816e-05
Overall Rank: 4,277 | 70.66%
DOI: 10.14778/3137765.3137771

Incoming Non-self Citations Over Time

Authors

1. Sunil Chakkappen (Oracle)
2. Suratna Budalakoti (Oracle)
3. Ramarajan Krishnamachari (Oracle)
4. Satyanarayana R Valluri (Oracle)
5. Alan Wood (Oracle)
6. Mohamed Zait (Oracle)

BibTeX Citation

@article{chakkappen_vldb17,
        title = {{Adaptive Statistics in Oracle 12c}},
        author = {Chakkappen, Sunil and Budalakoti, Suratna and Krishnamachari, Ramarajan and Valluri, Satyanarayana R and Wood, Alan and Zait, Mohamed},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        pages = {1813--1824},
        doi = {10.14778/3137765.3137771},
        url = {https://doi.org/10.14778/3137765.3137771},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,061	Are We Ready For Learned Cardinality Estimation?	2021	VLDB	0.00012369764
1,536	Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses	2018	VLDB	0.00010460864
3,215	Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates	2019	CIDR	7.6324234e-05
3,555	Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing	2019	SIGMOD	7.3115321e-05
9,455	Small Selectivities Matter: Lifting the Burden of Empty Samples	2021	SIGMOD	5.2653318e-05
11,644	Index-Based Join Size Estimation Using Adaptive Sampling	2021	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
18	How Good Are Query Optimizers, Really?	2016	VLDB	0.00059284255
100	LEO - DB2's LEarning Optimizer	2001	VLDB	0.00034385207
388	Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors	2009	VLDB	0.00019410042
524	Automatic SQL Tuning in Oracle 10g	2004	VLDB	0.00017120666
737	Join Size Estimation Subject to Filter Conditions	2015	VLDB	0.00014490983
1,256	Sampling-Based Query Re-Optimization	2016	SIGMOD	0.00011457194
1,729	Combining Histograms and Parametric Curve Fitting for Feedback-Driven Query Result-Size Estimation	1999	VLDB	9.908788e-05
3,093	Statistics on Views	2003	VLDB	7.7664764e-05
4,635	Optimizer Plan Change Management: Improved Stability and Performance in Oracle 11g	2008	VLDB	6.5928815e-05
5,514	StatAdvisor: Recommending Statistical Views	2009	VLDB	6.1901666e-05
5,770	Closing The Query Processing Loop in Oracle 11g	2008	VLDB	6.0934173e-05

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