User online state statistical system and method

Abstract

The invention discloses an online state statistical system and a method, which can at least solve the technical problem that the traditional single machine statistical mode cannot meet large growth demands of internet users as the processing speed and the memory capacity of a single server are limited. The online state statistical system comprises multiple front-end dotting servers and a rear-end memory database for sharing of the multiple front-end dotting servers, wherein each front-end dotting server can be used for receiving a dotting request from an online user terminal and sending user online state information acquired by dotting data included in the dotting request to the rear-end memory database; the rear-end memory database can be used for carrying out statistics and memory on the user online state information sent by each front-end dotting server; and the rear-end memory database is realized through one or more SSDB servers.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a user online status statistics system and method. Background technique [0002] With the maturity of Internet technology, there are more and more types and quantities of network applications, and various network applications have emerged, such as online games and live broadcasts. In order to provide better services for users, providers of these network applications often need to collect statistics on the online status of users. [0003] At present, when counting the user's online status, a separate dot server receives the dot request from the online user terminal, obtains the dot data contained therein, and saves the user online status information obtained according to the dot data into the memory. When it is necessary to query the online status of a certain user, the RBI server reads the online status information of the user from the memory and feeds back the que...

AI Technical Summary

Problems solved by technology

However, the stand-alone statistics method is only applicable to application scenarios with a small number of users. With the increase of Internet users, the number of online users of a network application can reach tens of millions or even hundreds of millions. Due to the limitation of processing speed and memory capacity, the traditional stand-alone statistical method cannot support such a huge number of users

Moreover, this stand-alone statistical method based on memory storage cannot support expansion: if the servers used to count the online status of users are expanded to two or more, since each server stores the online status information of users through its own memory, Therefore, when it is necessary to query the online status of a user, it is impossible to determine which server to query from

It can be seen that the traditional stand-alone statistical method cannot meet the needs of the large-scale growth of Internet users

Images