Event processing method and device, equipment and storage medium

Abstract

The invention relates to an event processing method and device, equipment and a storage medium. The method comprises: acquiring a target event; dividing the target event into a plurality of sub-events, and classifying the plurality of sub-events into a first type of events and a second type of events according to a preset rule; dividing the current time period into time periods which are not overlapped in time, the time periods which are not overlapped in time comprising a single-thread stage and a multi-thread stage; and processing the first type of events in the single thread stage, and processing the second type of events in the multi-thread stage. According to the processing characteristics of different threads, different types of events are put in different thread stages to be processed, so that the development efficiency and the system performance are improved; and meanwhile, a single thread is combined with multiple threads, so that the development cost and the performance are balanced.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an event processing method, device, equipment and storage medium. Background technique [0002] In the field of computer technology application, single-process single-thread model, single-process multi-thread model and multi-process single-thread model are usually used for event processing. The single-process and single-thread model has high development efficiency, but it is not enough to carry too many users; the single-process and multi-thread model has no disadvantages of memory redundancy, and can make full use of the advantages of multi-core. It does not require a central control server to synchronize data, but it will involve locking And a large number of asynchronous callbacks, the cost of development and debugging is high; the multi-process single-thread model can be used for fault isolation, and the downtime of a single server process will not affect all player...

AI Technical Summary

Problems solved by technology

The single-process and single-thread model has high development efficiency, but it is not enough to carry too many users; the single-process and multi-thread model has no disadvantages of memory redundancy, and can make full use of the advantages of multi-core. It does not require a central control server to synchronize data, but it will involve locking And a large number of asynchronous callbacks, the cost of development and debugging is high; the multi-process single-thread model can be used for fault isolation, and the downtime of a single server process will not affect all players in the server; secondly, it has strong scalability, and through distributed deployment, multiple people can be implemented at the same time Online, but data synchronization and asynchronous calls will bring a lot of development and debugging costs

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