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.
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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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