Data checking method and device, electronic device and storage medium

Abstract

Disclosed are a data checking method and device, an electronic device, and a storage medium. The method comprises the following steps: obtaining the splicing data of each commodity display page in a preset time period, and monitoring data of all events triggered on each commodity display page; Determining a monitoring quantity of triggering events on each commodity display page according to the splicing data; Determining the actual number of events triggered on each commodity display page according to the monitoring data of all events; If it is judged that the monitoring quantity is inconsistent with the actual quantity, splicing the monitoring data of all events to obtain the corrected splicing data of each commodity display page in a preset period of time; using The corrected splicing data to replace the splicing data of each commodity display page in the preset time period. The disclosed embodiment solves the problem that there is no effective measure to detect and correct the splicing data according to the actual monitoring data, and the splicing data stored in the database can be automatically detected and corrected according to the actual monitoring data.

Description

technical field [0001] Embodiments of the present disclosure relate to data processing technologies, and in particular, to a data checking method, device, electronic equipment, and storage medium. Background technique [0002] After publishing different product display pages, multiple events on each product display page will be monitored to obtain monitoring data corresponding to the events. For example, monitor click events, purchase events, and chargeback events on each product display page. In order to facilitate the analysis and statistics of the data of each product display page, it is necessary to splice all the monitoring data corresponding to each product display page to form a data table, that is, a data table corresponding to each product display page. [0003] In the prior art, usually after obtaining the monitoring data of each product display page, they are directly spliced, and then the spliced ​​data are stored in the database. [0004] The existing technolo...

AI Technical Summary

Problems solved by technology

[0004] The existing technology has the following defects: due to the huge amount of monitoring data and the heavy burden on the server, when a network problem or other system failure occurs, the time to obtain the monitoring data corresponding to the event may be delayed, resulting in a certain period of time. The monitoring data does not correspond to the spliced ​​data

For example, the click data of a user at 2 o'clock is only obtained at 4 o'clock, causing the actual monitoring data at 2 o'clock to not correspond to the spliced ​​data

There are no effective measures in the existing technology to detect and correct splicing data based on actual monitoring data

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