Cloud detailed order query management system and method

Abstract

The invention provides a cloud detailed list inquiry management system and method. The system comprises: a detailed list file management module, an interface service module, a data routing module and a data storage module; the interface service module is separately in butt joint with the detailed list file management module and an external detailed list inquiry system and is used for releasing a detailed list writing request to the data routing module; or releasing a detailed list inquiry request to the data routing module; the data routing module is used for prefabricating a data routing strategy, receiving a detailed list operation instruction from the interface service module, and transmitting the detailed list operation instruction to the corresponding data storage module according to the data routing strategy; and the data storage module is used for receiving the detailed list operation instruction from the data routing module and executing corresponding operation. The cloud detailed list inquiry management system and method has the advantages that efficient detailed list information inquiry service can be provided, the user detailed list updating speed is high, and the inquiry speed is high, and the user inquiry experience is comprehensively improved.

Description

technical field [0001] The invention belongs to the technical field of detailed bill management query, and in particular relates to a cloud detailed bill query management system and method. Background technique [0002] With the popularization of 3G and 4G technologies and the rapid development of operators' data services, mobile terminals generate detailed traffic bills through the communication network all the time. Compared with traditional voice and SMS detailed bills, the scale of detailed bills shows explosive growth. How to record detailed bills accurately and in real time Information, solve the performance problems of data insertion, update, query and other operations in the massive detailed data environment, and improve user satisfaction, has become an increasingly severe test for telecom companies. [0003] At present, operators widely adopt the traditional technical architecture based on minicomputer + commercial relational database cluster + centralized storage t...

AI Technical Summary

Problems solved by technology

However, in the era of data business explosion, the traditional detailed storage architecture has problems such as low system performance, low query efficiency, high hardware cost, and the system does not have horizontal expansion capabilities, which makes it unable to meet the rapid development needs of the business and reduces the cost of users. Query experience

[0004] In order to solve the above problems, some provincial-level operators have adopted Internet hadoop big data technology, but hadoop itself was born for big data analysis and calculation, and is not suitable for simple detailed information management and query. In terms of data import and other methods, regular Executing cluster computing, there are problems such as untimely update of detailed information, and the system management and maintenance based on this type of solution is very complicated, which is tantamount to transferring the hardware cost of the traditional solution to the maintenance cost, and it is difficult to solve the problem. risk, nor is it the best solution for detailed bill business

[0005] It can be seen that it is of great significance to effectively solve the current problems such as user detailed bill delay and slow query speed, and provide users with efficient detailed bill information query services

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