Method and system for processing business data

Abstract

The invention provides a method and system for processing service data. The service data can be efficiently and reliably processed, database resources can be reasonably utilized, and the system for processing the service data has high expandability. The method includes the steps of storing the service data in a database; making a data processing module obtain multiple service data applied to the data processing module from the database according to configuration information, wherein the state and the number of the service data corresponding to the data processing module are recorded in the configuration information; sequentially calling all service node systems to process the obtained service data according to the execution sequence of service nodes once the data processing module obtains the state of the service data.

Description

Technical field [0001] The present invention relates to the field of computer technology, in particular to a method and system for processing business data. Background technique [0002] In the design of a multi-service node system based on processes on the Internet, business processing capabilities and response time are often the key to testing system capabilities, especially for systems that require real-time and large amounts of data. For example, in the e-commerce order production process, there are often many processes that cooperate with each other during the entire process of the order from the user's order to the warehouse for production, so that the order can be quickly and accurately delivered to the user. After the user places an order, the order will go through multiple business links, such as judging malicious order process, order splitting process, order transfer process, order downloading, order pre-decomposition, special order processing, etc. After these business...

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Problems solved by technology

[0005] In the process of realizing the present invention, the inventor found that the above-mentioned multi-service node flow processing method in the prior art can generally be processed normally when the data volume is relatively small, but when the data volume is relatively large, for example, the order volume of the day reaches hundreds of Tens of thousands or even tens of millions, or when there are many business nodes, the pressure on the database will increase, reading and writing will be slow, which will slow down the processing of data by the business node system, and the database itself may fail; if a certain business node processing is delayed Or if the processing fails, the entire process will be delayed or stuck at this business node, and this situation is completely unknown to other business node systems

Taking the processing of order data as an example, such delays or interruptions will affect the production of the order, causing delays in delivery, and ultimately affecting the user experience

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