Batch job detection method and device based on directed acyclic graph, and electronic equipment
By constructing and comparing directed acyclic graphs before and after batch job execution, the monitoring efficiency problems caused by the huge number of batch jobs and complex dependencies are solved, automated detection and exception handling are realized, and monitoring accuracy and reliability are improved.
CN119807480APending Publication Date: 2025-04-11INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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Patent Information
- Application Number
- CN202411894746.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-20
- Publication Date
- 2025-04-11
AI Technical Summary
Technical Problem
In the information system of financial institutions, the number of batch operations is huge and the dependencies are complex, which leads to inefficient traditional monitoring and detection methods, prone to missed abnormal situations, affecting business stability.
Method used
Using a detection method based on directed acyclic graph (DAG), two DAGs before and after batch job execution are constructed, node sets, edge sets and node ingress and exit information are compared, and abnormal job information is identified and output.
Benefits of technology
It realizes automatic detection of batch job execution status, improves the efficiency of exception handling and the accuracy and reliability of job monitoring, and avoids business exceptions caused by omissions.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a batch job detection method and device based on directed acyclic graphs and electronic equipment, and relates to the field of financial science and technology, and the method comprises the steps: detecting a corresponding first type directed acyclic graph before the execution of a batch job and a second type directed acyclic graph after the execution of the batch job, nodes in the directed acyclic graphs represent each batch job, connection edges in the directed acyclic graphs represent job dependency relationships, the nodes store job execution information of the corresponding batch jobs, node sets, edge sets and node access degree information between the first type of directed acyclic graphs and the second type of directed acyclic graphs are compared to obtain a comparison result, and the comparison result is sent to the second type of directed acyclic graphs. And outputting execution information of the batch jobs and abnormal job information based on the comparison result. According to the method and the device, the technical problem that the business of the financial institution is abnormal due to the fact that the efficiency is low and the abnormal operation condition is easy to omit in a scene with a large quantity of batch operations and a complex dependency relationship among the operations in the prior art is solved.
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