Data processing method and system thereof

Abstract

The invention relates to a data processing method and system, and belongs to the technical field of data processing. The method comprises the steps that an appointment making request is received, and whether the appointment making request succeeds or not is judged according to an appointment making rule; a first queue and a second queue are configured in a cache; appointment making information in the successful appointment making request is stored in the first queue; a panic buying request is received, and whether a user initiating the panic buying request successfully makes an appointment or not is judged according to the appointment making information in the first queue; if yes, whether the user successfully implements panic buying or not is judged; when the user successfully implements panic buying, the appointment making information, corresponding to the user, in the first queue is pushed into the second queue. Accordingly, panic buying business logic can be processed in a high concurrency mode, and the problems of system response delay and decreased processing request speed which are caused by multiple times of purchasing of a same account number can be avoided.

Description

technical field [0001] The invention relates to computer network technology, in particular to a data processing method and system thereof. Background technique [0002] At present, with the popularity of the Internet, e-commerce systems and electronic logistics systems based on smart devices (such as computers, smart phones, tablet computers, etc.) a trend. With the rapid development of e-commerce, the competition among all parties in the e-commerce system has become increasingly fierce. Various types of snap-up activities have become a common way of promotion. As one of the means to increase the viscosity of old users and attract new users to join. [0003] As the number of users following gradually increases, the number of visits to the system will increase sharply in a short period of time, and the pressure on the system will gradually increase. Often, the system response will slow down, and user requests cannot be processed in time. And it is also prone to multiple sn...

AI Technical Summary

Problems solved by technology

[0005] In the above methods, there are many cases of relying on the database when processing snap-up requests. Since the systems of most e-commerce companies currently rely on the MySQL database, and the MySQL database is relatively fragile, it is easy to have high CPU usage and response delays when there is high concurrency. And so on, which also lead to system response timeout, poor user experience, and may even cause the system to crash due to excessive server pressure

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