Business data processing method and device, computer equipment and storage medium

Abstract

The invention relates to a business data processing method and device, computer equipment and a storage medium. The business data processing method comprises the steps of obtaining business data of ato-be-detected service node, wherein the business data comprises first business data and second business data; performing fault detection on the to-be-detected service node according to the first business data and a database; when the to-be-detected service node is a fault node, determining a fault type corresponding to the fault node; identifying a corresponding standard service threshold in a database according to the second service data; comparing the second service data with a corresponding standard service threshold to obtain a comparison result; extracting historical fault nodes corresponding to the fault types from a database, and counting the number of the historical fault nodes; calculating according to the comparison result and the number of historical fault nodes to obtain updated data; and updating the corresponding standard service threshold in the database according to the updating data. By adopting the business data processing method, the fault detection accuracy of theservice node can be improved.

Description

technical field

[0001] The present application relates to the field of computer technology, in particular to a business data processing method, device, computer equipment and storage medium. Background technique

[0002] When enterprises use distributed systems for data task processing, there will be a large number of service nodes. The running status of each service node will affect the processing of data tasks. When a service node fails, it will affect the failure detection process of subsequent service nodes. The traditional method is to monitor the service nodes to obtain the corresponding operating status of the service nodes and perform fault detection. The traditional method cannot deal with the faulty service nodes accordingly, resulting in low accuracy of fault detection of service nodes during the running of subsequent tasks. Therefore, how to improve the fault detection accuracy of the service node has become a technical problem that needs to be solved at prese...

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