A data processing method, device, equipment and storage medium

Abstract

Embodiments of the present invention provide a data processing method, device, device, and storage medium. The method reads the jth source data, reads the mth statistical item, and judges whether the status code carried by the jth source data can Divide the prime number carried by the mth statistical item; if the prime number carried by the mth statistical item cannot be divisible, use the mth statistical item to perform statistics on the jth source data, and set the state of the jth source data The code is updated to the first data, and according to the value of m, it is judged whether all statistical items have been read; if not, according to the initial value of m, m is decremented or incremented by 1, and the processed m as the new m, return to execute the step of reading the mth statistical item. Applying the solutions provided by the embodiments of the present invention reduces the amount of data described by the association relationship between source data and statistical items, thereby reducing the complexity of the statistical system for statistical data, achieving the purpose of orderly statistics, and improving efficiency.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a data processing method, device, equipment and storage medium. Background technique [0002] In the current production environment, when the computer accurately counts various types of data, the same source data needs to be counted in multiple statistical items. The common problem is that it is easy to cause the source data to arrive at the statistical logic of each statistical item out of order, and it is easy to repeat . [0003] A common solution to the above problems is to associate the source data with the statistical items. After the source data has been counted, create a data row of the Cartesian product of the key ID (identification, identification number) of the source data and the ID of the statistical item. Now Take two statistical items to count two source data as an example, as shown in Table 1-Table 4. [0004] Table 1 Statistical items [0005] ...

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Problems solved by technology

[0012] It can be seen from Table 1-Table 4 that although the common solutions solve the above problems, it is easy to cause the data volume of the associated table such as Table 4 to increase exponentially, resulting in an increase in the number of statistics in the statistical system, thereby increasing the number of statistical systems in the computer processor. resource usage

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