Data exception detection method, device and system and storage medium
A technology of data anomaly and detection method, which is applied in the computer field to achieve the effect of improving monitoring efficiency and monitoring accuracy and reducing monitoring cost
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Embodiment 1
[0026] figure 1 It is a flowchart of a data anomaly detection method in Embodiment 1 of the present invention. The embodiment of the present invention is suitable for detecting whether there is anomaly in the data received by the data receiving system that receives a large amount of data. The method is executed by a data anomaly detection device, which is implemented by software and / or hardware, and is specifically configured in a processing link device in a data receiving system.
[0027] Such as figure 1 A data anomaly detection method shown includes:
[0028] S110. Receive log data, and count the received amount of the log data.
[0029] Wherein, the log data is the data in the data stream sent to the data receiving system, and the log data includes data packets and / or data records. Wherein, the data packet corresponds to the data unit exchanged and transmitted in the network, that is, the data block sent by the station to the outgoing link device at one time. A data r...
Embodiment 2
[0050] figure 2 It is a flowchart of a data anomaly detection method in Embodiment 2 of the present invention. The embodiments of the present invention carry out subdivision optimization on the basis of the technical solutions of the foregoing embodiments.
[0051] Further, the operation "counting the received amount of the log data" is subdivided into "calculate the log data according to the input attribute of the received log data to obtain the received amount of the log data; wherein, the input Attributes include at least one of the data receiving time period, data type, and data source type”; correspondingly, the operation “counting the output volume of the output data after data processing of the log data” is subdivided into “logging After the data is processed, the output data is counted according to the output attribute to obtain the output volume of the output data; wherein, the output attribute includes at least one of the data generation time period, the data type,...
Embodiment 3
[0072] image 3 It is a structural diagram of a data anomaly detection device in Embodiment 3 of the present invention. The embodiment of the present invention is suitable for detecting whether the data received by the data receiving system receiving a large amount of data is abnormal. The device is implemented by software and / or hardware, and is specifically configured in the processing link equipment in the data receiving system. Such as image 3 The data anomaly detection device shown includes: an input statistics module 310 , an output statistics module 320 and an anomaly determination module 330 .
[0073] The input statistics module 310 is used to receive log data, and count the received amount of the log data;
[0074] An output statistics module 320, configured to count the output volume of the output data after data processing is performed on the log data;
[0075] The abnormality determining module 330 is configured to determine that the current device has data ab...
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