Service data checking method, device, equipment and system architecture

Abstract

The embodiment of the specification provides a method which comprises: determining a filtering rule and a checking rule associated with changed data after receiving a checking request triggered by a change event of service data in an upstream service system, and judging whether the changed data conforms to the filtering rule or not; and if yes, calling a remote service to inquire the associated data in the downstream business system based on the check rule, and checking the consistency of the changed data and the associated data. Since when rules are configured, the filtering rule is separated from the checking rule, only an associated filtering rule needs to be adopted for one-time screening. When the number of the checking rules corresponding to the change data is large, whether the change data meets the filtering rules or not does not need to be judged repeatedly, memory consumption can be saved, checking efficiency can be improved. In addition, when a developer configures the rules, the developer does not need to configure the filtering rules repeatedly in the checking rules, and the number of times of manual operation can be reduced.

Description

technical field [0001] This specification relates to the technical field of data processing, and in particular to a business data checking method, device, equipment and system architecture. Background technique [0002] In the O2O (Online To Offline, online to offline) industry, the impact of capital loss failures on customers and companies is very serious. In order to reduce the impact of capital loss failures, it is necessary to detect failures as early as possible, so as to respond quickly. Since the system architecture commonly used in the O2O industry is usually distributed, in a distributed system, a business operation has to go through a very long business system line, so most of the capital loss failures are caused by the inconsistency of business data in the upstream and downstream business systems , in order to detect data inconsistencies as early as possible, usually a middleware is used in the upstream and downstream business systems to check the business data of...

AI Technical Summary

Problems solved by technology

With different configuration methods, the verification process is also different. The existing rule configuration process and verification process are cumbersome and inefficient. Therefore, it is necessary to improve the business data verification method to improve the configuration efficiency and verification efficiency of verification rules.

Images