A bank task assignment method and device

Abstract

The present invention relates to a bank task allocation method and device, wherein the method includes: reading task message data from an MQ queue, and processing the task message data to obtain task information; storing legal task information in In the redis cache database, convert the legal task information into message data conforming to the DB2 database storage format, and put the message data into the local MQ queue; utilize local multithreading to read the described conforming DB2 database storage format message data The message data is stored in the DB2 database; the redis pub / sub queue publishes the corresponding notification message to the socket IO server that subscribes to the notification message; the socket IO server transmits the notification information to the business end, and according to the notification information, the business end judges whether it has The operation authority to execute the corresponding task information.

Description

technical field [0001] The invention relates to the technical field of bank system data processing, in particular to a bank task allocation method and device. Background technique [0002] As the scale of the bank gradually increases, the fields that the bank is engaged in are also expanding. In this case, how to assign tasks to designated employees has become an important step in the informatization of banking business. The efficiency and accuracy of task assignment will be greatly improved. Have a huge impact on the bank's operating costs. [0003] At present, the common way to complete task allocation is that each business system sends tasks to designated employees. Usually, the task data is stored in the DB2 database. After the task is sent, the employee usually obtains it by periodically polling the background database. own task list. [0004] Above technical scheme has following shortcoming: [0005] 1) Each task will have dozens or even hundreds of matching relatio...

AI Technical Summary

Problems solved by technology

DB2 database is a single point, and there is a certain bottleneck in terms of large data storage and high concurrent query performance

[0007] 3) Employees usually obtain their own task lists by regularly polling the background database, which causes a large number of query requests to bring huge pressure on the server; moreover, there are a large number of invalid query requests, wasting server resources

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