Workflow processing method and related device
By setting multiple operators in the workflow of the cloud platform and calling the second operator to process data when the first operator fails, the problem of retrying the entire workflow when the flow nodes in the workflow fail, improving the execution success rate and fault tolerance of the workflow.
CN119647925APending Publication Date: 2025-03-18HUAWEI CLOUD COMPUTING TECHNOLOGIES CO LTD
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Patent Information
- Application Number
- CN202311744473.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2023-09-18
- Filing Date
- 2023-12-18
- Publication Date
- 2025-03-18
AI Technical Summary
Technical Problem
In a cloud platform, when one stream node in the workflow fails to execute, the prior art needs to retry the entire workflow, resulting in inefficient processing and insufficient fault tolerance.
Method used
By setting at least two operators in each stream node and calling the second operator to process data when the first operator fails to execute, the fault tolerance and flexibility of data processing are achieved, and the entire workflow is avoided retrying.
Benefits of technology
It improves the execution success rate of workflows, increases the fault tolerance and flexibility of the data processing process, and reduces the impact of human factors on data processing.
✦ Generated by Eureka AI based on patent content.
Abstract
The embodiment of the invention discloses a workflow processing method and a related device, which can be applied to the field of cloud computing. The method comprises the steps that trigger request information and first data of a target workflow are received, the target workflow comprises at least one flow node, the first flow node in the at least one flow node comprises at least two operators, input parameters and output parameters of the operators are the same, and execution processes are different; processing the first data through the target workflow according to the trigger request information; when the first operator in the first flow node fails to process the second data, a second operator in the first flow node is called to process the second data, and the second data is the first data or the output data of the adjacent upstream flow node of the first flow node. According to the technical scheme, the disaster recovery operator can be added in the flow node of the workflow, when the main operator fails to execute, the standby operator is used for continuous processing, the fault tolerance and flexibility of the workflow processing process are improved, and the execution success rate of the workflow is increased.
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