Data processing method and apparatus

Abstract

Embodiments of the invention provide a data processing method and apparatus, and belong to the field of data processing. The method comprises the steps of obtaining an index value-taking instruction;obtaining identifier information corresponding to the index value-taking instruction; analyzing a key set corresponding to the identifier information; storing a current key corresponding to a currentmoment in the key set in a distributed cache and storing a historical key set corresponding to historical moments in a local cache; and obtaining a value corresponding to the current key from the distributed cache, obtaining values corresponding to keys in the historical key set from the local cache, and generating a target set. Therefore, the technical effect of reducing the calculation amount ofthe distributed cache while reducing the network transmission quantity is achieved.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a data processing method and device. Background technique [0002] At present, in the indicator calculation of the distributed real-time risk control system, the rules of the strategy exist in many forms. Indicators are one of them. Indicators are usually accompanied by a large number of complex calculations, and the data is continuously added to the indicators for calculation, and the duration is variable. Some only last for a few seconds, while others take several months. , or even longer. At present, in order to prevent malicious acts of black production, the duration of indicators is usually divided into time slices one by one, but this is followed by the management of time slices one by one. The distributed risk control system needs to identify the business system in real time. The request risk has very strict requirements on efficiency and response, so business clas...

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Problems solved by technology

At present, in order to prevent malicious acts of black production, the duration of indicators is usually divided into time slices one by one, but this is followed by the management of time slices one by one. The distributed risk control system needs to identify the business system in real time. The request risk has very strict requirements on efficiency and response, so business classes usually store all time slices and corresponding data in the distributed cache, but this will cause a large amount of network transmission on the indicator server, and the need to process the key every time is huge CPU consumption, and easily lead to network congestion, resulting in high response delay

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