Scheduling system, relation log generation method based on scheduling system and medium

Abstract

The invention discloses a scheduling system, a relation log generation method based on the scheduling system and a medium, and the relation log generation method based on the scheduling system comprises the steps: obtaining a plurality of to-be-executed tasks, and distributing a first identification for each task; for each task in the plurality of tasks, obtaining all operations triggered by the tasks in a time period from execution starting to completion, and synchronously generating an operation log corresponding to each operation; and binding the operation logs of all operations corresponding to the tasks with first identifiers corresponding to the tasks. The invention aims to allocate the same group of IDs to the operation logs belonging to the same scheduling task, and automatically call the related operation logs containing the same group of IDs for analysis during query and analysis, thereby saving manpower and time cost, improving analysis efficiency, improving management efficiency and bringing convenience to users.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a scheduling system and a method and medium for generating relational logs based on the scheduling system. Background technique [0002] The existing scheduling system stores a large number of original logs generated by different scheduling tasks, and these original logs record relevant scheduling information and can be used for analysis from different angles such as time dimension, source, target, and life cycle. However, since these original logs are independent And scattered, it is often necessary to reprocess, process and analyze the original log before it can be obtained, which will undoubtedly increase the workload of analysts and greatly affect the improvement of work efficiency. In particular, it is impossible to clarify which original logs belong to the scheduling tasks of the same complete life cycle, resulting in waste of manpower and time costs, and lo...

AI Technical Summary

Problems solved by technology

[0002] The existing scheduling system stores a large number of original logs generated by different scheduling tasks, and these original logs record relevant scheduling information and can be used for analysis from different angles such as time dimension, source, target, and life cycle. However, since these original logs are independent And scattered, it is often necessary to reprocess, process and analyze the original log before it can be obtained, which will undoubtedly increase the workload of analysts and greatly affect the improvement of work efficiency

In particular, it is impossible to clarify which original logs belong to the scheduling tasks of the same complete life cycle, resulting in waste of manpower and time costs, and low analysis efficiency

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