Reentrant distributed processing method and device based on current limiting operation

Abstract

The invention discloses a reentrant distributed processing method and device based on current limiting operation. The method comprises the following steps: extracting data to be processed from a database and reentrant processing time of the data to be processed; reentrant processing time of the data to be processed. Judging whether the current time is later than the reentrant processing time of the data to be processed; if so, the data to be processed in the state to be processed is processed based on the current limiting control; updating the reentry times of the data to be processed, and updating the reentrant processing time of the data to be processed recorded in the database according to the reentry times; the above steps are performed in a loop until the data to be processed is successfully processed. The data to be processed is processed in a reentrant manner, the reentrant processing time of the data to be processed is set, and according to the reentrant processing time, the data to be processed is avoided from being missed, the processing efficiency of the data to be processed is also improved, the problem of being repeatedly and frequently processed is avoided, and the processing resources are saved.

Description

technical field [0001] The invention relates to the field of software, in particular to a reentrant distributed processing method and device based on current limiting operation. Background technique [0002] In a distributed network architecture, the core system at the core often interacts with multiple subsystems responsible for specific businesses. Among them, the processing capacity of the core system is generally much higher than that of the subsystems. In order to ensure the normal processing of the entire architecture, at this time, it is necessary to limit the current on the core system for different interactive subsystems. Good protection of the various interacting subsystems. However, the current limiting operation will bring two difficulties: [0003] 1. Data consistency problem. During current limiting operation, the core system server saves the data in the memory, and the waiting time for each piece of data to be processed is unknown. The system server cannot...

AI Technical Summary

Problems solved by technology

During current limiting operation, the core system server saves the data in the memory, and the waiting time for each piece of data to be processed is unknown. The system server cannot perceive the status of the piece of data, and it is very likely that multiple subsystem servers will process a piece of data to be processed at the same time, resulting in repeated processing of the data and even greatly affecting the processing efficiency

If multiple subsystem servers process the same piece of data at the same time, each subsystem server will store the data in memory for a long time and wait for processing, resulting in waste of resources for multiple subsystem servers

[0004] 2. Data processing omissions

Each server of the coupon asset platform fetches 100 coupons from the database each time, but can only process 10 coupons per second (10 coupons * 10 servers = current limit 100 coupons / s)

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