Processing method and system for log information

Abstract

The invention provides a processing method and a system for log information. The method comprises the following steps: receiving log information which are transmitted by various processing modules in various business systems by a log server; respectively integrating the log information in each business system to obtain log files which correspond to the business systems one by one; respectively counting the receiving quantity of the log information in each business system; by taking the business system of which the receiving quantity is greater than a first preset value as a target business system, determining a target processing module in the target business system by the log server according to the priority level or the contribution rate of each processing module in the target business system; inquiring the log information which is transmitted by the target processing module in the log files by the log server; processing the log information.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a log information processing method and system. Background technique [0002] In today's big data era, data analysis is very important. How to quickly and effectively collect and extract data from massive data is often difficult, which not only seriously affects the work efficiency of operators, but also causes a waste of server resources. [0003] Since the log information in the existing business system is often recorded in multiple modules, and multiple modules often record the log information across the network, the log information is divided into modules and operated independently, and the log information cannot be directly and effectively Integration, and because the analysis of log information in multiple modules requires a large number of disk I / O operations, the running speed of the software is severely reduced. [0004] Therefore, there are valuable ke...

AI Technical Summary

Problems solved by technology

[0002] In today's big data era, data analysis is very important. How to quickly and effectively collect and extract data from massive data is often difficult, which not only seriously affects the work efficiency of operators, but also causes a waste of server resources.

[0003] Since the log information in the existing business system is often recorded in multiple modules, and multiple modules often record the log information across the network, the log information is divided into modules and operated independently, and the log information cannot be directly and effectively Consolidation, and because the analysis of log information in multiple modules requires a large number of disk I / O operations, the software running speed is severely slowed down

[0004] Therefore, there are valuable key values ​​scattered in multiple log information of different modules, and users cannot quickly and effectively compare and analyze log information, and effectively mine complex log information

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