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Abnormity diagnosis method and device of product logs

An abnormal diagnosis and log technology, applied in the computer field, can solve the problems of large labor cost, abnormal products, and too much time and energy invested, so as to improve work efficiency, meet efficiency, and reduce labor costs.

Active Publication Date: 2015-01-07
深圳太乐文化科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with the continuous enrichment of Internet product functions and the continuous increase in product complexity, the probability of product abnormalities is also increasing. In the process of using existing technologies to complete abnormal diagnosis, it is necessary to invest time and energy in the investigation personnel. There will be more, the test efficiency is low, the test steps are cumbersome, and the labor cost is relatively large, which cannot meet the people's growing abnormal diagnosis needs of efficient and convenient product logs.

Method used

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  • Abnormity diagnosis method and device of product logs

Examples

Experimental program
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no. 1 example

[0032] figure 1 It is a flow chart of a product log abnormality diagnosis method in the first embodiment of the present invention. The method in this embodiment can be executed by a product log abnormality diagnosis device, which can be implemented by hardware and / or software, and generally can be It is integrated in the server for completing abnormal diagnosis of product logs. The method of this embodiment specifically includes the following operations:

[0033] 110. Obtain the pending abnormality diagnosis log after the abnormality inspection is performed on the product log.

[0034] In this embodiment, the abnormality diagnosis server acquires the logs to be diagnosed for abnormalities after the abnormality inspection is performed on the product logs.

[0035] In this embodiment, the pending abnormality diagnosis log is specifically a product log that has an abnormality after passing the abnormality inspection and needs subsequent abnormality diagnosis.

[0036] Wherein,...

no. 2 example

[0065] figure 2 It is a flow chart of a product log abnormality diagnosis method according to the second embodiment of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments. In this embodiment, it is preferable to optimize the operations to acquire the logs to be diagnosed with abnormalities after performing abnormal inspections on the product logs as follows: after obtaining the abnormal inspections on the product logs from at least two At least two log data groups of a data platform are used as logs to be diagnosed abnormally;

[0066] Preferably, the operation is performed on the log to be located based on the set statistical dimension for dimensional statistics, and the optimization of locating the abnormal log in the log to be located according to the statistical result is: using at least one set statistical dimension to analyze the at least two The log data group performs sub-dimension statistics to count the set index valu...

no. 3 example

[0103] image 3 It is a flow chart of a product log abnormality diagnosis method according to the third embodiment of the present invention. This embodiment is optimized on the basis of the above embodiments. In this embodiment, preferably, the operation of extracting the log to be located that satisfies the consistency rule in the log to be abnormally diagnosed is optimized as: obtaining the at least two log data The data source ID corresponding to the group; if the data source ID corresponding to the log data group is the same, use the log data group with the same basic data source ID as the first log; otherwise, obtain the log data group from the data platform again according to the supplementary data source ID , and re-execute the abnormality inspection: if the inspection result of re-executing the anomaly inspection is that the anomaly disappears, then use the inconsistency of the data source identification as the abnormality diagnosis result of the product log; otherwise...

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PUM

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Abstract

An embodiment of the invention discloses an abnormity diagnosis method and device of product logs. The abnormity diagnosis method comprises obtaining logs after an abnormity test is performed on the product logs, wherein the abnormity diagnosis is to be performed on the logs; extracting logs to be positioned in the logs, wherein the logs meet the consistency rule; performing dimension division statistics on the logs to be positioned based on the set statistical dimension and positioning abnormal logs in the logs to be positioned according to a statistical result so as to achieve the abnormity diagnosis on the product logs. According to the abnormity diagnosis method and device of the product logs, the existing product log diagnosis technology is optimized, the growing efficient and convenient product log abnormity diagnosis requirements of people are met, the working efficiency of the abnormity diagnosis personnel is greatly improved, and the input of the labor cost is reduced.

Description

technical field [0001] The embodiment of the present invention relates to computer technology, in particular to a method and device for abnormal diagnosis of product logs. Background technique [0002] With the continuous development of Internet technology and information processing technology, more and more end users have access to the Internet and use various Internet products in their daily work, study and life. For example: Baidu search, Baidu music and Baidu map. When end users operate the above-mentioned Internet products, the system will generate corresponding product logs to record user operation behaviors. Among them, the product log can not only reflect the operation status of all aspects of the product, but also help the product service provider to understand the user's online behavior. Therefore, it can provide technical operation guarantee and improvement basis for Internet products. [0003] In the existing product log analysis process, if an abnormality is f...

Claims

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Application Information

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IPC IPC(8): G06F11/34G06F17/30
Inventor 杜鹏
Owner 深圳太乐文化科技有限公司
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