Data processing method and device, computer equipment and computer readable storage medium

Abstract

The embodiment of the invention provides a data processing method and device, computer equipment and a computer readable storage medium, and the method comprises the steps: determining whether a cloud end has left-over data or not if the left-over data exists in a pre-sending area during data reporting, wherein the left-over data comprises data which is not deleted after the pre-sending area reports the data to the cloud end at the previous time; and if the left-over data does not exist in the cloud end, sending the to-be-reported data to the pre-sending area to instruct the pre-sending area to report the left-over data and the to-be-reported data to the cloud end. According to the embodiment of the invention, whether the left-over data exists in the cloud end or not can be determined when the left-over data exists in the pre-sending area, so that duplicate checking of the left-over data is realized, the duplicate checking efficiency can be improved, and the performance loss of computer equipment can be reduced; when the left-over data does not exist in the cloud end, the left-over data and the to-be-reported data can be reported to the cloud end together from the pre-sending area, so that the data reporting efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of data transmission, and in particular to a data processing method, device, computer equipment, and computer-readable storage medium. Background technique [0002] Data burying is a data collection method. At present, the software development kits used for data burying and the data burying methods used in smart homes generally collect and store the data locally in the local database, and then report from the local database to the cloud database , wait for the cloud to return a success or failure result, and then process the data in the local database. In the process of reporting data from the local database to the cloud database, if the local database does not receive the return result from the cloud database, the data reported to the cloud will continue to be kept in the local database, and the data will continue to be reported next time. If the data is successfully reported to the cloud databa...

AI Technical Summary

Problems solved by technology

There are two ways to check the data in the cloud database: one is to perform a duplicate check every time the data is reported to the cloud database. This processing method will cause loss of computer performance for high-frequency data reporting operations ; One is to check the duplicates of the data reported to the cloud database within a specific period of time. The disadvantage of this processing method is that the duplicate checks are not processed in time, and if the time interval of the duplicate checks is long, the weight of the checks will be relatively large. Bring greater computing pressure to computer equipment, and also lead to loss of computer equipment performance

Both of these solutions will lead to low efficiency of duplicate checking and loss of performance of computer equipment

Images