A fast data service method and system

Abstract

The invention relates to a rapid data service method and system. The method comprises the following steps: metadata is configured for a service object; therefore, when page display is carried out, the metadata is analyzed by a background; specific service data is obtained and returned to a page; and a foreground displays the data analyzed by the background on the page in a page display analysis process. According to the rapid data service method and system disclosed by the invention, a data inquiry and maintenance page can be rapidly constructed in a page configuration manner; inquiry and maintenance can be carried out in a permission classification manner; and thus, the maintainability and the expandability are good.

Description

【Technical field】 [0001] The invention belongs to the field of computers and databases, and in particular relates to a metadata-based fast data service method and system 【Background technique】 [0002] In the existing data management field, it is usually necessary to provide functions such as data maintenance, process approval, and complex data calculation. Among them, data maintenance work accounts for a large proportion. Moreover, in the later data maintenance process, due to changes in requirements, there are often requirements such as field additions and deletions, display changes, and new data source maintenance. Especially in industries with relatively unstable business, this situation is relatively common, resulting in poor system scalability and difficult maintenance. [0003] In the prior art, there are two solutions to the above problems: the first is to reserve more fields as spares during the construction of the data system, but the number of reserved fields fo...

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Problems solved by technology

Moreover, in the later data maintenance process, due to changes in requirements, there are often requirements such as field additions and deletions, display changes, and new data source maintenance.

Especially in industries with relatively unstable business, this situation is more common, resulting in poor system scalability and difficult maintenance

[0003] In the prior art, there are two solutions to the above problems: the first is to reserve more fields as spares during the construction of the data system, but the number of reserved fields for this processing method is limited after all , cannot cope with a large number of field changes, and there is data redundancy, which wastes resources, and the meaning display of reserved fields is not intuitive during use

The second is to re-customize the data system according to new requirements. At present, this method is used in most cases, but only for data systems that have not entered the maintenance period, customization will be relatively simple, and for those that have entered the maintenance period As far as the system is concerned, customization will bring problems such as difficulty in actual operation, long cycle, and affecting the stability of the original system; if it is a newly developed system, multiple customizations will form a main system, and multiple auxiliary systems will share a business library. , greatly increasing the difficulty of system maintenance

[0004] In short, the solutions in the prior art either have problems of data redundancy and unclear meaning of reserved fields, or have problems of poor subsequent scalability and difficult maintenance

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