Aggregation method and a related device for storing system operation logs

Abstract

The present application discloses an aggregation method for storing system operation logs, which comprises the following steps: determining the number of aggregation points according to the aggregation mode, and constructing a circular list of aggregation points according to the number of aggregation points; Performing log aggregation on the aggregation points in the circular list in turn according to the aggregation mode; When cycling to the aggregation point where the log has been aggregated, deleting the operation log of the aggregation point, and aggregating the aggregation point of the deleted operation log. By circulating the log aggregation at the aggregation point of the circular list for log aggregation, performing when the log aggregation point is circulated to the aggregation point where the log aggregation, only the original operation log needs to be deleted, and then the log aggregation is performed, thereby realizing the automatic deletion of the operation log, avoiding the manual operation, and improving the reliability of the storage system. The present application also discloses an aggregation device, a server and a computer-readable storage medium for storing system operation logs, which have the above beneficial effects.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to an aggregation method, an aggregation device, a server, and a computer-readable storage medium for storing system operation logs. Background technique [0002] Currently, in distributed object storage, operations on stored data will result in corresponding operation logs, including user-level operation logs and bucket-level operation logs. Through the traceback function of the operation log, it is convenient for users to trace back the data operations of users or buckets within a period of time, so as to restore the data. In the distributed storage system, as long as the operation log of the distributed object storage starts to be recorded, the operation log of the distributed storage will be continuously recorded, and the system generally aggregates the log data in units of hours. When the concurrent traffic of the system continues to increase, The aggregation m...

AI Technical Summary

Problems solved by technology

In the distributed storage system, as long as the operation log of the distributed object storage starts to be recorded, the operation log of the distributed storage will be continuously recorded, and the system generally aggregates the log data in units of hours. When the concurrent traffic of the system continues to increase, The aggregation method based on the hour unit will make the data of a single aggregation point too large, affecting the operating performance of the system

[0003] In the existing technology, in order to solve the problem of too much data at the aggregation point, the system administrator generally deletes or retains the data according to experience, and the distributed storage system cannot autonomously and automatically select the log data

However, when unattended, the operation of deleting the operation log of the distributed storage system is missing, and the operation log will be saved too much over time, which will affect the performance of the storage system

Moreover, in order to delete the operation logs in the storage system, managers must operate, which increases the maintenance cost of the distributed storage system, and cannot avoid human errors, reducing the reliability of the distributed storage system.

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