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:
Feb. 20, 2024

Filed:

Mar. 04, 2022
Applicant:

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

Inventors:

Jinsu Lee, San Mateo, CA (US);

Petr Koupy, Zurich, CH;

Vasileios Trigonakis, Zurich, CH;

Sungpack Hong, Zurich, CH;

Hassan Chafi, Palo Alto, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 16/27 (2019.01); G06F 16/22 (2019.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/27 (2019.01); G06F 16/2282 (2019.01); G06F 16/284 (2019.01);
Abstract

In an embodiment, multiple computers cooperate to retrieve content from tables in a relational database. Each table contains respective rows. Each row contains a vertex of a graph. Many high-degree vertices are identified. Each high-degree vertex is connected to respective edges in the graph. A count of the edges of each high-degree vertex exceeds a degree threshold. A central computer detects that all vertices in a high-degree subset of tables are high-degree vertices. Based on detecting the high-degree subset of tables, multiple vertices of the graph that are not in the high-degree subset of tables are replicated. Within local storage capacity limits of the computers, this degree-based replication may be supplemented with other vertex replication strategies that are schema based, content based, or workload based. This intelligent selective replication maximizes system throughput by minimizing graph data access latency based on data locality.


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