Importing template configuration method and data bulk importing method and system

Abstract

The invention discloses an importing template configuration method. The method comprises the steps that data to be imported is selected; one or more rows of the data to be imported are selected, and based on the selecting sequence of the rows, a pre-importing template is constructed; the pre-importing template is stored as an importing template. The invention further discloses a data bulk importing method and system which apply the importing template configuration method. According to the importing template configuration method, the self-defined importing template can be dynamically generated according to data format requirements of a system to be imported, and data bulk importing is completed. The configuration process of the importing template is easy and efficient, the efficiency of data importing is greatly improved, meanwhile, the situation is avoided that the data to be imported is edited and arranged, and thus the error rate of the data is lowered. The self-defined importing template is particularly suitable for the situation that the importing template needs to be replaced frequently, and convenient, fast, efficient and accurate data bulk importing is achieved.

Description

technical field [0001] The invention relates to the technical field of data management. More specifically, it relates to an import template configuration method, a data batch import method and a system. Background technique [0002] At present, a large amount of data has penetrated into every industry and business function area today, becoming an important factor of production. People's mining and application of massive data heralds the arrival of a new wave of productivity growth and consumer surplus. Data management is the process of using computer hardware and software technology to collect, store, process and apply data effectively, and its purpose is to fully and effectively play the role of data. With the development of computer technology and the continuous improvement of informatization and digitalization, data management has experienced three development stages: manual management, file system, and database system. Among them, the data structure established in the...

AI Technical Summary

Problems solved by technology

In addition, since data is generally imported in units of items, users are only required to edit information line by line according to the requirements of the template, and to separate the combined information or merge the separated information, which greatly increases the number of users. workload

In particular, different users and systems have different original information formats. When the data to be imported differs greatly from the fixed requirements of the imported template, the process of editing and sorting out its documents will be extremely cumbersome

[0004] Although the configuration administrator can customize the import template, it needs to be implemented in multiple steps separately, which is not suitable for scenarios where the import template needs to be changed frequently, and the customization process is also prone to errors

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