A data caching method and background application system

Abstract

The embodiment of the present invention discloses a data caching method and a background application system. In the method, the background application system acquires a service request sent by the foreground application system for triggering the background application system to start executing a client session; the background application system is based on the The service request starts to execute the client session, and obtains the client data that needs to be used in the life cycle of the client session from the database when the client session is started; the background application system pre-caches the acquired client data, so that subsequent business During processing, the pre-cached customer data can be read from the distributed cache to optimize the processing performance of the system.

Description

technical field [0001] The invention relates to the communication field, in particular to a data buffering method and a background application system. Background technique [0002] With the development of network technology, support system software that is operated by operators or salesmen to provide customers with functions such as business inquiry, business processing, and service request acceptance is widely used, such as the business support system in the telecommunications industry (Business Support System, BSS system). Most of this kind of software is browser / server (B / S) architecture at present. The system is usually divided into foreground and background. , display and other interactive experience-related functions; the background is mainly for business verification, processing logic implementation, data persistence and query functions, running on the application server. [0003] When the system interacts, it needs to read the corresponding data from the database a...

AI Technical Summary

Problems solved by technology

Local cache can optimize processing performance to a certain extent, but because the data in local cache cannot be shared, it is not suitable for distributed application environments, and it will occupy a large amount of memory resources. Therefore, distributed cache optimization schemes are widely used at present. Optimizing database disk array I / O operations under the application system architecture

However, when applying the distributed cache optimization scheme to perform complex business processing logic, there will often be slow foreground interaction process, reduced processing performance, and low service execution performance.

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