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

Abstract

The embodiment of the invention discloses a data storage method and device, electronic equipment and a computer readable medium. According to one specific embodiment, the method comprises the steps that to-be-stored data information is received, and the to-be-stored data information is user identity information to be stored in a target database; performing data verification on the to-be-stored data information to generate a verification result; in response to the verification result, representing that the to-be-stored data information passes data verification, and storing the to-be-stored data information into a data table of the target database; in response to the verification result, representing that the to-be-stored data information does not pass the data verification, generating abnormal prompt information; and displaying the exception prompt information on a display interface, so that a target user modifies the to-be-stored data information. According to the embodiment, in the data storage process, the accuracy and integrity of the data are guaranteed.

Description

technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and in particular, to a data storage method, device, electronic device, and computer-readable medium. Background technique [0002] Data storage refers to a technology that operates on a database to store data in a data table of the database. At present, when data is stored, a common method is to perform operations on data tables one by one to enter data. For example, when the data to be stored is in multiple data tables, each data table needs to be operated in turn. [0003] However, when the above-mentioned method is used for data storage, the following technical problems often exist: [0004] First, data verification is not performed before data storage, so the accuracy and integrity of the data cannot be guaranteed; [0005] Second, multiple data tables cannot be operated uniformly, and data consistency cannot be guaranteed; [0006] Third, the field length, v...

AI Technical Summary

Problems solved by technology

[0004] First, data verification is not performed before data storage, so the accuracy and integrity of the data cannot be guaranteed;

[0005] Second, multiple data tables cannot be operated uniformly, and data consistency cannot be guaranteed;

[0006] Third, the field length, value range, and data type of the data have not been verified before data storage, and the accuracy of the field length, data value, and data type of the data cannot be guaranteed;

[0007] Fourth, the data is not checked for sensitive words before data storage, making it impossible to confirm whether the data contains sensitive words, and thus unable to guarantee the accuracy of the data stored in the database

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