The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 15, 2017

Filed:

May. 06, 2014
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Prabhaker Gangloor, San Jose, CA (US);

Mughees Minhas, Palo Alto, CA (US);

Khaled Yagoub, Newark, CA (US);

Waleed Ahmed, Decatur, GA (US);

Assignee:

Oracle International Corporation, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30463 (2013.01); G06F 17/30477 (2013.01); G06F 17/30536 (2013.01); G06F 17/30864 (2013.01);
Abstract

High-risk database statements are identified. A DBMS performs a series of experiments by generating sets of statistics describing data over which particular database statements run. The DBMS submits each of these sets of statistics to a query optimizer, which returns information for an execution plan that the optimizer would use to implement the statements given the submitted set of data statistics. If the DBMS determines that the optimizer changes the established execution plan for the database statements for any of the submitted sets of statistics, the DBMS performs one or more actions to mitigate the risk of changing execution plans, such as automatically tuning the database statements or the entire workload, and/or sending information about the database statements to a database administrator. Techniques are also described for calculating diagnostic values based on the results of such experiments, which quantify the sensitivity of the execution plans to changes in data statistics.


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