Add kubeflow/v1.10.0
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#!/bin/bash
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set -euxo
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NAMESPACE=$1
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REPOSITORY_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || echo "${GITHUB_WORKSPACE:-$(pwd)}")
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SPARK_APPLICATION_YAML="${REPOSITORY_ROOT}/apps/spark/sparkapplication_example.yaml"
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kubectl label namespace $NAMESPACE istio-injection=enabled --overwrite
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kubectl get namespaces --selector=istio-injection=enabled
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kubectl -n $NAMESPACE apply -f "$SPARK_APPLICATION_YAML"
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# Wait for the Spark application
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sleep 5
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# Wait until the SparkApplication reaches the "RUNNING" state
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while true; do
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STATUS=$(kubectl get sparkapplication spark-pi-python -n $NAMESPACE -o jsonpath='{.status.applicationState.state}')
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if [ "$STATUS" == "RUNNING" ]; then
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echo "SparkApplication 'spark-pi-python' is running."
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break
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else
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echo "Waiting for SparkApplication to be in RUNNING state. Current state: $STATUS"
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sleep 5 # Check every 5 seconds
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fi
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done
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# Wait for Spark to be ready.
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sleep 5
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# Wait until the Spark driver pod reaches the "Succeeded" or "Failed" phase
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while true; do
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POD_STATUS=$(kubectl get pod spark-pi-python-driver -n $NAMESPACE -o jsonpath='{.status.phase}')
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if [ "$POD_STATUS" == "Succeeded" ] || [ "$POD_STATUS" == "Failed" ]; then
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echo "Driver pod has completed with status: $POD_STATUS"
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break
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else
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echo "Waiting for driver pod to complete. Current status: $POD_STATUS"
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sleep 5 # Check every 5 seconds
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fi
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done
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kubectl -n $NAMESPACE logs pod/spark-pi-python-driver
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# Delete Spark Deployment
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kubectl -n $NAMESPACE delete -f "$SPARK_APPLICATION_YAML"
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