Message reminding method and system in support of asynchronous and synchronous computation

Abstract

The invention discloses a message reminding method and system in support of asynchronous and synchronous computation. The method comprises the following steps: in a business management system, asynchronous message reminding and synchronous message reminding are integrated, wherein the asynchronous message reminding adopts at least two asynchronous computation modes to obtain message data needed bythe message reminding, different reminding rules are configured according to characteristics of the message reminding, the synchronous message reminding adopts at least one synchronous computation mode to obtain message data needed by the message reminding, and finally, the message data needed by the message reminding through asynchronous computation and synchronous computation are aggregated asa collection of message data, and message reminding is carried out in a unified mode. The method and the system enhance the message reminding function performance and the extensibility through adopting technologies such as reading and writing separation, a timing task and an asynchronous computation task, and after a business operator logs in to the system (the business management system), unifiedmessage reminding can be acquired timely.

Description

technical field [0001] The invention relates to a business management system, in particular to a message reminder method and system supporting asynchronous and synchronous calculations. Background technique [0002] In the existing business management system, when a business needs to be reminded by messages (the business includes but not limited to to-do items, due items, etc., such businesses may need to be reminded by messages, that is, support message Reminder function), generally directly calculate the message data required by the message reminder from the business table, and the calculation must be performed according to the corresponding calculation rules. Because the amount of data in the business table is generally relatively large, and the calculation rules are generally relatively complex, this leads to very slow calculation of message data, which not only affects the performance of the business management system, but also causes a large delay in message reminders,...

AI Technical Summary

Problems solved by technology

Because the amount of data in the business table is generally relatively large, and the calculation rules are generally relatively complex, this leads to very slow calculation of message data, which not only affects the performance of the business management system, but also causes a large delay in message reminders, which cannot be timely and efficient. message reminder

[0003] In the existing business management system, there are still the following deficiencies: if a new business is added to the business management system, and the new business needs to support the message reminder function, it is often necessary to develop the corresponding background code to realize this functional requirement. The scalability of the message reminder function is very poor, which affects the use of the business management system

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