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21 lines
1.4 KiB
21 lines
1.4 KiB
#!/bin/bash
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set -euo pipefail
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echo "Installing Pipelines ..."
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kubectl apply -f apps/pipeline/upstream/third-party/metacontroller/base/crd.yaml
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echo "Waiting for crd/compositecontrollers.metacontroller.k8s.io to be available ..."
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kubectl wait --for condition=established --timeout=30s crd/compositecontrollers.metacontroller.k8s.io
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kustomize build experimental/seaweedfs/istio | kubectl apply -f -
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sleep 60
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kubectl wait --for=condition=Ready pods --all --all-namespaces --timeout=600s \
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--field-selector=status.phase!=Succeeded
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kubectl wait --for=condition=Available deployment/ml-pipeline -n kubeflow --timeout=10s
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kubectl wait --for=condition=Available deployment/ml-pipeline-ui -n kubeflow --timeout=10s
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kubectl wait --for=condition=Available deployment/ml-pipeline-persistenceagent -n kubeflow --timeout=10s
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kubectl wait --for=condition=Available deployment/ml-pipeline-scheduledworkflow -n kubeflow --timeout=10s
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kubectl wait --for=condition=Available deployment/ml-pipeline-viewer-crd -n kubeflow --timeout=10s
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kubectl wait --for=condition=Available deployment/cache-server -n kubeflow --timeout=10s
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kubectl wait --for=condition=Available deployment/metadata-writer -n kubeflow --timeout=10s
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kubectl wait --for=condition=Available deployment/seaweedfs -n kubeflow --timeout=10s
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kubectl wait --for=condition=Available deployment/mysql -n kubeflow --timeout=10s
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kubectl get deployment -n kubeflow -l app=ml-pipeline
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