I0110 17:12:29.074360       1 env.go:30] cannot find launcher configmap: name="kfp-launcher" namespace="kubeflow-user-example-com"
I0110 17:12:29.074450       1 launcher.go:145] PipelineRoot defaults to "minio://mlpipeline/v2/artifacts".
I0110 17:12:29.074632       1 cache.go:143] Cannot detect ml-pipeline in the same namespace, default to ml-pipeline.kubeflow:8887 as KFP endpoint.
I0110 17:12:29.074641       1 cache.go:120] Connecting to cache endpoint ml-pipeline.kubeflow:8887
I0110 17:12:29.466794       1 launcher.go:194] enable caching
I0110 17:12:29.620956       1 object_store.go:285] Cannot detect minio-service in the same namespace, default to minio-service.kubeflow:9000 as MinIO endpoint.
Looking in links: /tmp/tmpa7eihyzz
Requirement already satisfied: setuptools in /usr/local/lib/python3.7/site-packages (57.5.0)
Requirement already satisfied: pip in /usr/local/lib/python3.7/site-packages (21.2.4)
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: 
https://pip.pypa.io/warnings/venv
Loading KFP component module ephemeral_component from dir /tmp/tmp.G3SVxAs7HH
I0110 17:12:48.320579       1 launcher.go:847] ExecutorOutput: {
  "artifacts": {
    "output_dataset_one": {
      "artifacts": [
        {
          "name": "output_dataset_one",
          "uri": "minio://mlpipeline/v2/artifacts/pipeline/[Tutorial] V2 lightweight Python components/aec2a7f0-0049-4c90-a64f-dd2ad9d2d1bf/preprocess/output_dataset_one",
          "metadata": {}
        }
      ]
    },
    "output_dataset_two": {
      "artifacts": [
        {
          "name": "output_dataset_two",
          "uri": "minio://mlpipeline/v2/artifacts/pipeline/[Tutorial] V2 lightweight Python components/aec2a7f0-0049-4c90-a64f-dd2ad9d2d1bf/preprocess/output_dataset_two",
          "metadata": {}
        }
      ]
    }
  }
}
I0110 17:12:48.326933       1 object_store.go:285] Cannot detect minio-service in the same namespace, default to minio-service.kubeflow:9000 as MinIO endpoint.
F0110 17:12:48.350495       1 main.go:50] Failed to execute component: failed to upload output artifact "output_dataset_one" to remote storage URI "minio://mlpipeline/v2/artifacts/pipeline/[Tutorial] V2 lightweight Python components/aec2a7f0-0049-4c90-a64f-dd2ad9d2d1bf/preprocess/output_dataset_one": uploadFile(): unable to complete copying "/minio/mlpipeline/v2/artifacts/pipeline/[Tutorial] V2 lightweight Python components/aec2a7f0-0049-4c90-a64f-dd2ad9d2d1bf/preprocess/output_dataset_one" to remote storage "preprocess/output_dataset_one": failed to close Writer for bucket: blob (key "preprocess/output_dataset_one") (code=NotFound): NoSuchBucket: The specified bucket does not exist
	status code: 404, request id: 16C8F805E289856F, host id: