A message reminder method and system supporting asynchronous and synchronous computing

Abstract

The invention discloses a message reminder method and system supporting asynchronous and synchronous calculations. The method includes the following steps: in a business management system, integrating asynchronous message reminders and synchronous message reminders, wherein: the asynchronous message reminder adopts at least two One asynchronous calculation method to obtain the message data required for message reminders, and configure different reminder rules according to the characteristics of message reminders. Synchronous message reminders use at least one synchronous calculation method to obtain the message data required for message reminders. Finally, the asynchronous calculation And synchronously calculate the message data required for message reminders, summarize them into a message data collection, and perform message reminders in a unified manner. The method and system improve the performance and scalability of the message reminder function by adopting technologies such as read-write separation, timing tasks, and asynchronous computing tasks, so that business operators can obtain unified message reminders in time after logging into the system (business management system).

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 computing. Background technique [0002] In the existing business management system, when a business needs a message reminder (the business includes but is not limited to to-do items, due items, etc., such services may require message reminders, that is, support messages are required Reminder function), generally the message data required for the message reminder is directly calculated from the business table, and the calculation needs to 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 more complex, which 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 reminder...

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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