Index data processing method and device, equipment and storage medium

Abstract

The invention discloses an index data processing method and device, equipment and a storage medium. The method comprises the steps of receiving a search request of target index data, wherein a target abnormal time sequence corresponds to a first time range; obtaining at least one candidate time sequence based on the search request; in response to the condition that the similarity between any candidate time sequence and the target abnormal time sequence meets a similarity condition, taking the candidate index data corresponding to any candidate time sequence as associated abnormal index data of the target index data; determining a search sub-result corresponding to each associated abnormal index data of the target index data; and determining a target search result based on the search sub-results corresponding to the associated abnormal index data. On the basis, the processing mode of the index data is expanded, the target search result can provide powerful help for solving the abnormity of the target index data from the perspective of associating the abnormal index data, the monitoring effect of the target index data is improved, and the service quality is improved.

Description

technical field

[0001] The embodiments of the present application relate to the technical field of the Internet, and in particular to a method, device, device, and storage medium for processing index data. Background technique

[0002] With the rapid development of Internet technology, more and more IT (Internet Technology, Internet technology) services can be provided to users. In the process of providing IT services, a variety of index data will be generated, such as the number of user visits, the CPU (Central Processing Unit, central processing unit usage rate) of the device, and the like. Reasonable processing of index data can improve the service quality of IT services.

[0003] At present, in the process of processing the indicator data, the server focuses on identifying the abnormal time series of the indicator data, and then the terminal displays the abnormal time series of the indicator data, so as to inform the user which indicator data is abnormal. In this proce...

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