Flow limiting method for flow interface of logistics service system and related equipment

Abstract

The invention relates to a flow limiting method of a flow interface of a logistics service system and related equipment, and the flow limiting method of the flow interface of the logistics service system comprises the steps: detecting whether a to-be-called flow interface adds a customized annotation class or not when a logistics service request transmitted by a client is received; if the customized annotation class is added, obtaining the number of times of responding to the logistics service request in the current time period; judging whether the obtained frequency reaches the preset maximumfrequency of the current time period or not; if the preset maximum number of times is reached, refusing to respond to the currently sent logistics service request, and sending prompt information to the client; and if the preset maximum number of times is not reached, responding the currently sent logistics service request, and updating the number of times of the logistics service request responded in the current time period. Thus, the situation that the system operation speed is affected due to the fact that the system access amount is too large is avoided, the situation that logistics service requests are concurrent and a client waits for response requests for a long time is also avoided, and interference to existing logistics services is reduced.

Description

technical field [0001] The present application relates to the field of lighting technology, in particular to a flow limiting method of a flow interface of a logistics business system and related equipment. Background technique [0002] Since the business system is oriented to Internet C-end users, in order to prevent the data from exceeding the maximum load of the system and dragging down the system in the case of instantaneous high concurrency, data requests need to be controlled during the design of the outer API. In addition to the common new hardware configuration, in There are also many more mature solutions in the design of the API, such as streaming, downgrading, and current limiting; among them, the commonly used current limiting algorithms include the leaky bucket algorithm and the token bucket algorithm. [0003] However, although the leaky bucket algorithm can forcibly limit the data transmission rate, it cannot cope with the high concurrent transmission of sudden...

AI Technical Summary

Problems solved by technology

[0003] However, although the leaky bucket algorithm can forcibly limit the data transmission rate, it cannot cope with the high concurrent transmission of sudden data in some business scenarios; the token in the token bucket algorithm is filled at a constant rate, if the data request needs to be To process, you need to obtain a token from the bucket first, which makes the token bucket algorithm allow high concurrent transmission of burst data in some business scenarios, but this transmission requires enough tokens in the bucket, once there is no more tokens in the bucket If there are enough tokens, the service will be denied

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