Object detection method, device, electronic device, and computer-readable storage medium

Abstract

The embodiment of the present disclosure discloses an object detection method, device, electronic equipment, and computer-readable storage medium. The method includes: determining a target detection object, and setting target detection object identification information for the target detection object; according to the The target detection object identification information acquires execution data of the target detection object, and generates an execution link graph of the target detection object based on the execution data; and performs anomaly detection based on the execution link graph of the target detection object. This technical solution can comprehensively obtain the execution information of the target detection object, and quickly and accurately detect anomalies based on the comprehensive execution information, thereby effectively improving the efficiency of fault handling, improving the real-time performance of fault processing, and at the same time realizing the operation of database , Monitoring and analysis of database performance, providing effective data support for fault location, processing and backtracking.

Description

technical field [0001] The embodiments of the present disclosure relate to the technical field of data processing, and in particular, to an object detection method, an apparatus, an electronic device, and a computer-readable storage medium. Background technique [0002] With the development of network science technology and data processing technology, cloud computing, cloud storage, cloud database and other cloud services are more and more widely used. Provided to customers, under the current technology trend of separation of computing and storage, operations performed by users on cloud databases, such as SQL queries, will involve the entire cloud link, such as network, cloud database, cloud host, cloud storage, etc. That is to say, user data operations will be transmitted over the entire cloud link: user SQL requests are sent from the client to the cloud database computing node in the form of data packets via the network, and after relevant computing processing is performed...

AI Technical Summary

Problems solved by technology

As mentioned above, the cloud data operation link involves multiple nodes, the path is long and complex, it is difficult to quickly diagnose and locate the fault point

At present, cloud database diagnosis mostly uses auxiliary diagnosis methods to collect and analyze key indicators from the periphery of the database, and then diagnose key indicators one by one, and obtain diagnosis results through the relationship between indicators. However, for complex cloud database links, It is difficult to quickly and accurately locate the fault point with the above-mentioned index-based anomaly detection. Therefore, there is an urgent need for a fast and accurate anomaly detection method for cloud databases.

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