# this will install k8s tooling locally, start minikube, initialize helm and deploy a docker registry chart to your minikube
make

# if everything goes well, you should see a message like this: Registry successfully deployed in minikube. Make sure you add 192.168.99.105:30000 to your insecure registries before continuing. Check https://docs.docker.com/registry/insecure/ for more information on how to do it in your platform.

# build the spark images
make docker-build

# push the spark images our private docker registry
make docker-push
# HINT: if you see "Get https://192.168.99.105:30000/v2/: http: server gave HTTP response to HTTPS client" go back and check whether you have it listed in your insecure registries

# once your images are pushed, let's run a sample spark job (first on client mode)
$SPARK_HOME/bin/spark-submit \
    --master k8s://https://$(minikube ip):8443 \
    --deploy-mode client \
    --conf spark.kubernetes.container.image=$(./get_image_name.sh spark) \
    --class org.apache.spark.examples.SparkPi \
    $SPARK_HOME/examples/jars/spark-examples_2.11-2.4.4.jar

# ... and now, the same job but from within a pod in cluster mode
./generate_clustermode_podspec.sh
./bin/kubectl apply -f clustermode-podspec-with-rbac.yaml # make sure you check the contents of this file to understand better how it works

# in case you want to rerun the example above, make sure you delete the pod first
./bin/kubectl delete pod spark-submit-example

# check the executor pods in another terminal window while running
./bin/kubectl get pods -w

# ...

# deletes minikube and clean up downloaded tools
make clean