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:
Jan. 23, 2024

Filed:

Sep. 29, 2020
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Sharatkumar Nagesh Kuppahally, Issaquah, WA (US);

Peter Zhivkov, Seattle, WA (US);

Somasundaram Perianayagam, Seattle, WA (US);

James Christopher Sorenson, III, Seattle, WA (US);

Amit Gupta, Redmond, WA (US);

Shishir Agrawal, Seattle, WA (US);

Sagar Mundra, Seattle, WA (US);

Vaibhav Jain, Karnataka, IN;

Ajay Kumar, Karnataka, IN;

Aman Gupta, Madhya Pradesh, IN;

Ankur Tyagi, Uttar Pradesh, IN;

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/27 (2019.01); G06F 16/22 (2019.01); G06F 11/14 (2006.01); G06F 16/23 (2019.01);
U.S. Cl.
CPC ...
G06F 16/273 (2019.01); G06F 11/1407 (2013.01); G06F 16/2228 (2019.01); G06F 16/2282 (2019.01); G06F 16/23 (2019.01); G06F 16/2329 (2019.01);
Abstract

Updates to projected data subsets may be ordered using conditional operations. When updates to a data set are received, a determination is made according to a schema for a projected subset of the data set as to whether the update is to be propagated to the projected subset of the data set. If the update is to be propagated, a comparison of a version identifier for the update may be made with a version identifier for the subset to determine whether performance of the update is consistent with an ordering of updates performed to the first data set. If the comparison indicates the performance of the update is consistent, then the update may be performed to the projected subset. If not, then the update may not be performed.


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