Data processing method, apparatus and device and storage medium

Abstract

The embodiment of the invention provides a data processing method, apparatus and device and a storage medium. The data processing method comprises the steps that the jth source data is read, the mth statistic item is read, and whether a state code carried by the jth source data can exactly divide a prime number code carried by the mth statistic item or not is judged; if the prime number code carried by the mth statistic item cannot be exactly divided, the mth statistic item is utilized to count the jth source data, the state code of the jth source data is updated into first data, whether the statistic item is completely read or not is judged according to an m value; if the statistic item is not completely read, 1 is subtracted from m or 1 is added to m according to an initial value of them, the processed m serves as a new m, and the step of reading the mth statistic item is repeated. By applying the scheme provided in the embodiment of the invention, decrease of source data and data quantity described by incidence relation of the statistic item is achieved, accordingly the data statistic complexity of a statistic system is reduced, the orderly statistic purpose is achieved, and the efficiency is improved.

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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