Method for determining diagnosis treatment measures based on log data

A technology of data determination and processing measures, which is applied in the direction of electrical digital data processing, special data processing applications, and response error generation. It can solve problems such as insufficient robustness of the system, large log files, and incompleteness, etc. overcoming inefficiencies

Active Publication Date: 2015-03-25
南方电网互联网服务有限公司
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AI Technical Summary

Problems solved by technology

The manual processing method requires the administrator to actively initiate retrieval in the log. When the amount of data increases to a large amount, the retrieval efficiency becomes very low due to the huge log file; and due to the lack of a clear retrieval target, there will be huge missed detection Possibly, the error checking is not comprehensive and the system is not robust enough; in addition, the manual processing method is a method of "remedial after the error", which cannot make an early diagnosis, and once an error occurs, it may cause a large economic loss
[0004] Although the computer active retrieval method has improved the retrieval efficiency, it can still only retrieve log entries with error flags, and it is difficult to find potential errors, and there is a possibility of missed detection; cause large economic losses

Method used

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  • Method for determining diagnosis treatment measures based on log data

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Embodiment Construction

[0017] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0018] figure 1 A flow chart of a preferred embodiment of a method for analyzing log data of the present invention is shown.

[0019] refer to figure 1 , in step 110, acquire log data for a period of time.

[0020] In an optional embodiment, the log data of a period of time may be obtained through a specific API (Application Programming Interface, application programming interface) interface. During specific implementation, this interface can be called at the place where logging is required (such as a certain module, function, or code line, etc.), so as to write the running log data into the storage unit at the specified location. For example, in a RESTful-based software architecture, the following API interface can be called to obtain log data:

[0021] http: / / : / / log? log=

[0022] Through the above-mentioned API interface, the log data during ...

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Abstract

The invention provides a method for determining diagnosis treatment measures based on log data. The method includes the steps that the log data in a period are acquired; according to one or more features, the acquired log data are counted; a statistic result is used for establishing a log feature in the period; a period with the log feature identical or similar to that of the determined log feature is recognized in each period before the selected period; the diagnosis treatment measures made for the log data of the recognized periods are acquired; each acquired diagnosis treatment measure is determined as the diagnosis treatment measure for the log data of the corresponding period.

Description

technical field [0001] The invention relates to the field of massive computer data processing, in particular to a method for determining diagnostic treatment measures based on log data. Background technique [0002] There are mainly two types of existing log analysis methods and systems. One is manual log analysis. After a system error occurs, the administrator retrieves log files in a targeted manner to obtain the required information; the other is to set error flags in certain log entries, so that the computer can Automatically retrieve logs with error flags. [0003] Both methods have obvious disadvantages and deficiencies. The manual processing method requires the administrator to actively initiate retrieval in the log. When the amount of data increases to a large amount, the retrieval efficiency becomes very low due to the huge log file; and due to the lack of a clear retrieval target, there will be huge missed detection Possibly, the error checking is not comprehens...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F11/07
CPCG06F11/3452
Inventor 涂继业张涌宁立
Owner 南方电网互联网服务有限公司
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