Kubeflow Pipelines PipelineNotFound

What is Kubeflow Pipelines PipelineNotFound

Understanding Kubeflow Pipelines

Kubeflow Pipelines is a comprehensive solution for deploying and managing machine learning workflows on Kubernetes. It allows data scientists and engineers to automate, monitor, and govern machine learning systems by providing a platform to orchestrate machine learning pipelines.

Identifying the Symptom: PipelineNotFound

When working with Kubeflow Pipelines, you might encounter the PipelineNotFound error. This error indicates that the system cannot locate the specified pipeline, which prevents further operations such as execution or modification.

Common Observations

Attempting to run a pipeline results in an error message stating the pipeline cannot be found.The pipeline does not appear in the list of available pipelines in the Kubeflow UI.

Exploring the Issue: Why PipelineNotFound Occurs

The PipelineNotFound error typically arises when the pipeline ID or name provided does not match any existing pipeline in the Kubeflow Pipelines system. This can happen due to typographical errors, incorrect pipeline references, or if the pipeline was never created.

Potential Causes

Typo in the pipeline ID or name.The pipeline has been deleted or was never created.Incorrect context or namespace in the Kubernetes environment.

Steps to Resolve PipelineNotFound

To resolve the PipelineNotFound error, follow these steps:

1. Verify Pipeline ID or Name

Ensure that the pipeline ID or name you are using is correct. Double-check for any typographical errors. You can list all available pipelines using the Kubeflow Pipelines UI or the command line:

kubectl get pipelines

Refer to the Kubeflow Pipelines SDK documentation for more details on managing pipelines.

2. Confirm Pipeline Creation

If the pipeline does not exist, you need to create it. Use the Kubeflow Pipelines UI or the SDK to upload and create a new pipeline. For example, using the SDK:

from kfp import Clientclient = Client()client.upload_pipeline(pipeline_package_path='path/to/pipeline.yaml', pipeline_name='My Pipeline')

3. Check Kubernetes Context

Ensure that you are operating in the correct Kubernetes context and namespace. Use the following command to check your current context:

kubectl config current-context

Switch contexts if necessary using:

kubectl config use-context <context-name>

Conclusion

By following these steps, you should be able to resolve the PipelineNotFound error in Kubeflow Pipelines. Always ensure that your pipeline references are accurate and that you are working within the correct Kubernetes environment. For further assistance, refer to the Kubeflow documentation.