Database replication error recovery based on supervised learning
US11636071B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 10, 2020 |
| Grant date | Apr 25, 2023 |
| Priority date | — |
| Expiry date | Sep 5, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/80
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
System and methods are described for automated recovery from errors occurring during replication of a database. The method includes getting text from one or more log files generated during database replication processing in a cloud computing environment, transforming the text into a structured language form represented by vectors, and identifying patterns in the vectors. The method further includes classifying one or more errors based on the identified patterns using supervised learning as either a recoverable error or an unrecoverable error, analyzing the one or more errors to determine one or more recovery jobs associated with database replication processing in the cloud computing environment for each of the recoverable errors, and invoking the one or more recovery jobs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.