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:
Mar. 11, 2025

Filed:

Dec. 14, 2023
Applicant:

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

Inventors:

Fotis Savva, Belfast, GB;

Farhan Tauheed, Zurich, CH;

Marc Jolles, Zurich, CH;

Onur Kocberber, Thalwil, CH;

Seema Sundara, Nashua, NH (US);

Nipun Agarwal, Saratoga, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/20 (2019.01); G06F 16/21 (2019.01); G06F 16/2455 (2019.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/214 (2019.01); G06F 16/24552 (2019.01); G06F 16/283 (2019.01);
Abstract

Auto-parallel-load techniques are provided for automatically loading database objects from an on-disk database system into an in-memory database system. The auto-parallel-load techniques involve a pipeline that includes several components. In one implementation, each of the pipeline components is configured to receive, extract information from, and add information to, a 'state object'. One or more of the pipeline components include logic that is based on the output of a corresponding machine learning model. The machine learning models used by the pipeline components may be trained from training sets from which outliers have been excluded, and may be used as the basis for generating linear models that are used during runtime, to produce estimates that affect the parameters of the auto-parallel-load operation.


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