Database cluster switching method, electronic device, storage medium, and program product

Through automated decision-making mechanisms and switching status assessment models, accurate determination of database cluster fault status and differentiated assessment of business importance are achieved, solving the problem of insufficient switching decisions caused by manual judgment in existing technologies and improving the accuracy and reliability of switching.

CN122152603APending Publication Date: 2026-06-05CHINA UNITED NETWORK COMM GRP CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA UNITED NETWORK COMM GRP CO LTD
Filing Date
2026-01-19
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing database cluster switching technologies rely on subjective human judgment, resulting in insufficient accuracy in switching decisions, inability to accurately identify primary cluster failures and conduct differentiated business assessments, and a tendency for incorrect or missed switching.

Method used

Through an automated decision-making mechanism, using fault identification and switching status assessment models, the fault status of the main database cluster is accurately determined, and the operating status of core and non-core businesses is distinguished. Switching requests are generated and switching is only executed when the fault identification and scoring thresholds are met.

Benefits of technology

It improves the accuracy of database cluster switching decisions, avoids ineffective switching in fault-free scenarios, ensures the continuity of core business and data consistency, and reduces operation and maintenance costs.

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Abstract

The embodiment of the application provides a database cluster switching method, an electronic device, a storage medium and a program product. The method comprises the following steps: determining a fault identifier to determine the fault state of a master database cluster (a first database cluster); obtaining a first service running parameter; and using a preset switching state evaluation model to distinguish and evaluate the running state of a core service and a non-core service to obtain a switching state score. The switching request is generated and the switching to a standby database cluster (a second database cluster) is performed only when the fault identifier indicates a fault and the switching state score is greater than a first threshold. The beneficial effect is that the fault identifier is used to accurately determine the fault state of the master cluster, and the invalid switching in the fault-free scenario is avoided. The switching state evaluation model is used to evaluate the core service and the non-core service, the key state of the service running is accurately captured, and the accuracy of the database cluster switching decision is effectively improved.
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