Service data dynamic adjustment server and system on basis of JAVA CLASS compilation

Abstract

The invention discloses a service data dynamic adjustment server and a system on the basis of JAVA CLASS compilation, wherein the server comprises an editing request receiving device, a rule editing service device, a rule information storing device, an executing request receiving device, a rule information acquisition device, a CLASS type generation device and a rule executing device. The service data dynamic adjustment system on the basis of JAVA CLASS compilation comprises a service application system and a service data dynamic adjustment server which carry out information interaction. The embodiment of the invention converts rule control into JAVA type codes, compiles and overloads JAVACLASS type, realizes dynamic adjustment of the rule control, and does not need to cure the rule control of the service process in a program. In addition, as a JAVA CLASS compilation and overload method is adopted, execution and dynamic adjustment of the rule can be realized by means of the function of a self function of a JDK, therefore, the invention can effectively avoid the complex technical difficulties in rule processing design and development of rule language analysis and the like.

Description

technical field [0001] The invention relates to the field of rule control processing in an application system, in particular to a JAVACLASS compiled service data dynamic adjustment server and system. Background technique [0002] In the application system of banking and other fields, it involves a large number of rule control judgments at the business level to standardize business processes and prevent business risks. In the current application system, there are two solutions for the rule control processing at the business level. One is to directly implement the rule control in the program by writing a program, that is, directly implement the business rules in the program code by hard coding. Control, this method makes the rule control solidified in the program. With the continuous development of the business, the need for adjustment and change of the corresponding rule control is becoming more and more obvious. This method makes the adjustment of the rule control very diffi...

AI Technical Summary

Problems solved by technology

In the current application system, there are two solutions for the rule control processing at the business level. One is to directly implement the rule control in the program by writing a program, that is, directly implement the business rules in the program code by hard coding. Control, this method makes the rule control solidified in the program. With the continuous development of the business, the need for adjustment and change of the corresponding rule control is becoming more and more obvious. This method makes the adjustment of the rule control very difficult. Every adjustment Need to modify programs, test, release versions, etc., which cannot meet the requirements of business development for rapid adjustment of rules; the other is to separate rules from business processes. This method can use existing rule engine products on the market or develop rules by yourself Although the processing method can support the rapid and dynamic adjustment of rules, the rule management methods provided by these products are complicated. For example, they all need to be bound and packaged with the business object model of the business application system. The management of rules is based on the business Object model, and often because the requirements of the rule engine product itself do not match the conditions of the business application system, the business system structure is adjusted. For example, many rule engine products currently manage rules based on the object model of the business system, that is, the requirements The business system is based on the object-oriented development model, which makes it very difficult for some business systems mainly based on the process-oriented development model to apply rule engine products. It brings a lot of inconvenience to developers, and in order to develop a rule engine suitable for its own application system in combination with its own system characteristics, it faces various complex technical difficulties such as rule analysis and rule execution.

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