Hybrid in-memory BFS-DFS approach for computing graph queries involving complex path patterns including trees and cycles inside relational database systems
US11397732B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 11, 2019 |
| Grant date | Jul 26, 2022 |
| Priority date | — |
| Expiry date | Dec 18, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/284
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An in-memory graph query runtime is integrated inside a database management system and is capable of performing simple patter-matching queries against homogeneous graphs. The runtime efficiently combines breadth-first (BFS) and depth-first (DFS) neighbor traversal algorithms to achieve a hybrid runtime that takes the best from both sides. As a result, the hybrid runtime is able to process arbitrarily large queries with a fixed amount of memory, optimizing for memory locality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.