Precise asset quota calculation method in high-concurrency data flow scene

Abstract

The invention relates to a precise asset quota calculation method in a high-concurrency data flow scene, which comprises the following steps that: A, a quota rule configuration service automatically generates a quota rule version identifier which has a digital attribute and can be increased automatically when newly adding quota rule configuration each time; b, sending the quota rule version identifier and the corresponding quota rule to a processing flow of the summarizing service; c, sending the quota rule version identifier to other service processing flows, and marking the quota rule version identifier in a subsequent loan / repayment quota change flow; and D, compensating the limit change value corresponding to the current service flow to the newly configured limit current value if the limit rule version identifier of the current service flow is found not to be latest during the processing flow of the summary service. According to the invention, the quota rule can take effect in realtime after being changed, and the current value of the newly added quota rule can be calculated in real time.

Description

technical field [0001] The present invention relates to a method for calculating financial data, in particular to a method for calculating an accurate asset limit in a scenario of high concurrent data flow. Background technique [0002] With the development of banking business, there is a need for diversified quota management. The general business background is as follows: [0003] (1) The basic data for the bank's loan assets to achieve quota management and control are mainly based on three dimensions (hereinafter referred to as "basic dimensions"): channel (c), product (p), and merchant (m). [0004] (2) Based on the requirements of risk management, quota control needs to be carried out from multiple business dimensions, such as business departments, product levels, etc. All "business dimensions" (such as departments, etc.) can introduce corresponding "basic dimensions" (ie channels, products, merchants). [0005] (3) For the quota control of "business dimension", it is...

AI Technical Summary

Problems solved by technology

[0014] pass figure 2 It is easy to find that there is a problem in the above process: in the data of "quota change flow waiting for summary stage", how to count the quota of "Department A"? Because before the quota rules of "Department A" take effect, some data has actually reached the "quota change flow waiting for summary stage", but the summary has not been completed. Therefore, in figure 2 During the calculation process, this part of the amount is not included in the calculation

However, the effective date of T+1 will make the new rules inflexible, the usage scenarios will be limited, and it will not be able to meet the ever-changing risk management requirements.

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