Method for reducing log file space occupation, storage medium and terminal

Abstract

The invention discloses a method for reducing log file space occupation, a storage medium and a terminal, and relates to the technical field of computers. The method comprises the following steps: constructing an index table and a data lookup structure; calculating a CRC code of each character string in the log statement, and adding the CRC code to a data search structure; and adding the character string to the index table, and replacing the target character string in the log statement with the index value at the corresponding position in the index table. Compared with a dotting log method, the method has the advantages that the index table does not need to be synchronously updated immediately after the source code is updated each time, the version consistency of the log file and the index table is naturally guaranteed while a large amount of time cost is saved, and the reliability is higher; the method has the capability of writing character string type parameters, and is higher in expansibility and flexibility; compared with a log compression method, the time complexity and the space complexity of the method are lower, and the computing power of a processor is better saved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method for reducing log file space occupation, a storage medium and a terminal. Background technique [0002] The log function is an essential basic function for servers, communication base stations, industrial gateways, routers and other devices that need to run continuously for a long time. The perfect log function can help the operation and maintenance personnel to troubleshoot and locate device problems very effectively. However, due to the long-term continuous operation of the device, a large amount of log data will be generated, and these log files will occupy a considerable space. At the same time, whether it is hard disk storage or flash memory, its price is positively correlated with storage capacity, and huge log data files bring a huge cost burden to the production and operation and maintenance of equipment. [0003] It is easy to think that, in order to s...

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Problems solved by technology

[0004] However, there are two problems with the dot log method. One is that after each update of the source code, the dot log must use an independent index table generator to scan the source code of the entire project and extract all the log statements that exist in the source code. Generate a globally unique index value for each log statement, and finally form an index table file

For large-scale software engineering, the above process is quite time-consuming

Moreover, once the index table is not updated immediately after the source code is updated, the versions of the source code and the index table will be inconsistent, which will make the final generated log file unable to be parsed and displayed normally

The second is that the management log does not have the ability to write string type parameters, which will seriously limit the scalability and flexibility of the log function

However, the algorithm for compressing log data is relatively complex, and the consumption of processor computing power is usually relatively large.

However, we don't want to consume too much processor computing power while reducing the space occupied by log files. After all, processor computing power is the most valuable resource in the entire device.

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