Data processing method and device, equipment, medium and product

Abstract

The invention provides a data processing method and device, equipment, a medium and a product, and the method comprises the steps of obtaining a first historical demand-supply ratio and a first historical resource obtaining efficiency of multiple days in a target region; determining a target demand-supply ratio according to the first historical demand-supply ratio of multiple days and the first historical resource acquisition efficiency in response to determining that the first historical resource acquisition efficiency of multiple days changes along with the first historical demand-supply ratio and the variable quantity of the first historical resource acquisition efficiency is smaller than a preset threshold value; if the current time is within the target time period, determining the adjustment amount of the service duration of the driver at the current time according to the target demand-supply ratio and the passenger order issuing amount at the current time. By means of the method, the processing speed of effective data can be increased, and the effective utilization rate of hardware resources can be increased.

Description

technical field [0001] The present application relates to the field of computer technology, in particular, to a data processing method, device, device, medium and product. Background technique [0002] At present, in people's fast-paced life, more and more people choose online car-hailing to travel. For online car-hailing drivers, in the supply and demand scenario of online car-hailing, within a day, a driver's service time is relatively fixed. After a driver leaves the car within a certain period of time, it will generally not be available at another time. This results in a relatively long total service time of drivers in certain time periods, and a relatively short total service time of drivers in certain time periods, thus making the processing speed of orders in certain time periods relatively fast. Slower, and there will be more idle capacity in certain time periods, so that the utilization rate of capacity resources in this time period is relatively low, so that the c...

AI Technical Summary

Problems solved by technology

For online car-hailing drivers, in the supply and demand scenario of online car-hailing, within a day, a driver's service time is relatively fixed. After a driver leaves the car within a certain period of time, it will generally not be available at another time. This results in a relatively long total service time of drivers in certain time periods, and a relatively short total service time of drivers in certain time periods, thus making the processing speed of orders in certain time periods relatively fast. Slow, and there will be more idle capacity in certain time periods, so that the utilization rate of capacity resources in this time period is relatively low, so that the capacity resources of the day are not fully utilized

Moreover, since each driver generates approximately the same amount of data per unit time during a long period of total service time, the longer the total service time, the greater the amount of data that needs to be processed per unit time. The proportion of valid data will be reduced, thereby reducing the processing efficiency of valid data. At the same time, due to the relatively large proportion of invalid data processed by hardware, the effective utilization of hardware resources will be reduced.

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