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:
Jul. 19, 2022

Filed:

Dec. 16, 2020
Applicant:

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

Inventors:

William H. Bridge, Jr., Alameda, CA (US);

David Brower, Alamo, CA (US);

Meichun Hsu, Los Altos Hills, CA (US);

Boris Klots, Fremont, CA (US);

Neil J S Macnaughton, Los Gatos, CA (US);

Ajit Mylavarapu, Mountain View, CA (US);

Umesh Panchaksharaiah, Richmond, CA (US);

Garret F. Swart, Palo Alto, CA (US);

Tirthankar Lahiri, Palo Alto, CA (US);

Juan R. Loaiza, Woodside, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/27 (2019.01); G06F 15/173 (2006.01); G06F 16/901 (2019.01);
U.S. Cl.
CPC ...
G06F 16/27 (2019.01); G06F 15/17331 (2013.01); G06F 16/9024 (2019.01);
Abstract

A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to 'slices', and storing multiple copies ('duplicas') of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.


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