Data processing method and device applied to bank batch processing

Abstract

The invention discloses a data processing method and device applied to bank batch processing. The data processing method comprises that a target subsidiary bank is determined in dependence on a batch control table, the target subsidiary bank is a subsidiary bank which carries out batch processing in the current day, the batch control table comprises batch dates of all subsidiary banks, the following steps are executed repeatedly until the batch processing is finished: the batch state of the target subsidiary bank is determined in dependence on the batch control table, the batch control table comprises batch states of all subsidiary banks, pre-configured processing corresponding to the batch state is executed in dependence on the batch state of the target subsidiary bank, and the batch state of the target subsidiary bank in the batch control table is updated in dependence on the processing result. According to the invention, the bank batch processing can be achieved automatically, sequentially and accurately in short response time, and the batch processing efficiency can be improved.

Description

technical field [0001] The present invention relates to the field of data processing, and more specifically, relates to a data processing method and device applied to bank running batch processing. Background technique [0002] With the rapid development of information technology, informatization has become an important path for the development of banks. Reports are a powerful means for bank data collation, formatting and data presentation. Generating reports through batch jobs is the current mainstream. [0003] However, with the rapid advancement of the globalization of banking business, more overseas branches mean that the number of banking systems and the scale of operations continue to expand. The scheduling of report batch jobs faces the challenges brought by overseas branches with multiple time zones, different business hours, different business needs, and different reliance on system data. How to effectively use technical means to make full use of system resources...

AI Technical Summary

Problems solved by technology

For example, in order to ensure that the batch of the upstream system that depends on the batch startup has been completed, the existing technology must set the start time of the report batch later than the completion time of the upstream system batch; at the same time, in order to deal with the delay caused by the failure of the upstream system, the existing The technology adds an additional 2-4 hours of buffer time to the batch startup time, and the cost of the buffer time is the waste of system resources

In addition, when an overseas branch switches between daylight saving time and winter time, the scheduling time also needs to be adjusted accordingly, which often affects the whole body, and it becomes particularly complicated to reasonably formulate batch scheduling time for dozens of overseas branches

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