Failure event thrown method and device

Abstract

The invention relates to a failure event thrown method and device. The method comprises the steps of selecting a predetermined number of events to be tested from an event pool to be detected; judging whether the number of failure events in the events to be detected is smaller than a preset value or not; and throwing the failure events if the number of the failure events in the events to be detected is not smaller than the preset value, continuing to select a next batch of events to be detected from the event pool to be detected, and performing failure event detection until the number of the failure events in the events to be detected is smaller than the preset value. By such a scheme, the thrown timeliness of the failure events existing in the events to be detected can be ensured, the occupancy and the influence on equipment processing resources during simultaneously throwing of a large amount of failure events when the large amount of failure events exist in the event pool to be detected can be effectively reduced, and the robustness of failure event detection is favorably improved.

Description

technical field [0001] The present disclosure relates to the technical field of computer processing, and in particular, to a failure event throwing method and device. Background technique [0002] Generally, in the field of software, the actions performed by the device can be divided into two types: one is the immediate execution action without time difference, that is, the action B is executed after the execution of action A; the other is the non-immediate execution action, also That is, after action C is executed, action D needs to be executed under preset conditions, which may be reaching a predetermined time interval, satisfying predetermined execution conditions, and the like. [0003] Taking the user online detection in the field of instant messaging as an example, if the user sends a heartbeat packet every predetermined time interval T, it can be determined that the user is online; otherwise, if the user exceeds T without sending a heartbeat packet, it can be determin...

AI Technical Summary

Problems solved by technology

[0004] In order to throw failure events, most of the existing technologies use the redis cache mechanism to detect failure events. The robustness of this detection scheme is poor, which can be specifically reflected in the following: when the number of failure events is small, failure events cannot be thrown in time, Poor timeliness; when there are a large number of failure events, throwing failure events continuously will occupy a large amount of processing resources of the device and affect the overall performance of the device

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