Apache Spark™ K8s Operator is a subproject of Apache Spark and aims to extend K8s resource manager to manage Apache Spark applications via Operator Pattern.
Apache Spark provides a Helm Chart.
- https://apache.github.io/spark-kubernetes-operator/
- https://artifacthub.io/packages/helm/spark-kubernetes-operator/spark-kubernetes-operator/
$ helm repo add spark-kubernetes-operator https://apache.github.io/spark-kubernetes-operator
$ helm repo update
$ helm install spark-kubernetes-operator spark-kubernetes-operator/spark-kubernetes-operator
Spark K8s Operator is built using Gradle. To build, run:
$ ./gradlew build -x test$ ./gradlew build$ ./gradlew buildDockerImage$ ./gradlew spark-operator-api:relocateGeneratedCRD
$ helm install spark-kubernetes-operator --create-namespace -f build-tools/helm/spark-kubernetes-operator/values.yaml build-tools/helm/spark-kubernetes-operator/$ kubectl apply -f examples/pi.yaml
$ kubectl get sparkapp
NAME CURRENT STATE AGE
pi ResourceReleased 4m10s
$ kubectl delete sparkapp/pi$ kubectl apply -f examples/prod-cluster-with-three-workers.yaml
$ kubectl get sparkcluster
NAME CURRENT STATE AGE
prod RunningHealthy 10s
$ kubectl port-forward prod-master-0 6066 &
$ ./examples/submit-pi-to-prod.sh
{
"action" : "CreateSubmissionResponse",
"message" : "Driver successfully submitted as driver-20240821181327-0000",
"serverSparkVersion" : "4.0.0-preview2",
"submissionId" : "driver-20240821181327-0000",
"success" : true
}
$ curl http://localhost:6066/v1/submissions/status/driver-20240821181327-0000/
{
"action" : "SubmissionStatusResponse",
"driverState" : "FINISHED",
"serverSparkVersion" : "4.0.0-preview2",
"submissionId" : "driver-20240821181327-0000",
"success" : true,
"workerHostPort" : "10.1.5.188:42099",
"workerId" : "worker-20240821181236-10.1.5.188-42099"
}
$ kubectl delete sparkcluster prod
sparkcluster.spark.apache.org "prod" deletedIf you have not yet done so, follow YuniKorn docs to install the latest version:
$ helm repo add yunikorn https://apache.github.io/yunikorn-release
$ helm repo update
$ helm install yunikorn yunikorn/yunikorn --namespace yunikorn --version 1.6.3 --create-namespace --set embedAdmissionController=falseSubmit a Spark app to YuniKorn enabled cluster:
$ kubectl apply -f examples/pi-on-yunikorn.yaml
$ kubectl describe pod pi-on-yunikorn-0-driver
...
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Scheduling 14s yunikorn default/pi-on-yunikorn-0-driver is queued and waiting for allocation
Normal Scheduled 14s yunikorn Successfully assigned default/pi-on-yunikorn-0-driver to node docker-desktop
Normal PodBindSuccessful 14s yunikorn Pod default/pi-on-yunikorn-0-driver is successfully bound to node docker-desktop
Normal TaskCompleted 6s yunikorn Task default/pi-on-yunikorn-0-driver is completed
Normal Pulled 13s kubelet Container image "apache/spark:4.0.0-preview2" already present on machine
Normal Created 13s kubelet Created container spark-kubernetes-driver
Normal Started 13s kubelet Started container spark-kubernetes-driver
$ kubectl delete sparkapp pi-on-yunikorn
sparkapplication.spark.apache.org "pi-on-yunikorn" deletedAs of now, you can try spark-kubernetes-operator nightly version in the following way.
$ helm install spark-kubernetes-operator \
https://nightlies.apache.org/spark/charts/spark-kubernetes-operator-0.2.0-SNAPSHOT.tgz
Check the existing Spark applications and clusters. If exists, delete them.
$ kubectl get sparkapp
No resources found in default namespace.
$ kubectl get sparkcluster
No resources found in default namespace.
Remove HelmChart and CRDs.
$ helm uninstall spark-kubernetes-operator
$ kubectl delete crd sparkapplications.spark.apache.org
$ kubectl delete crd sparkclusters.spark.apache.org
In case of nightly builds, remove the snapshot image.
$ docker rmi apache/spark-kubernetes-operator:main-snapshot
Please review the Contribution to Spark guide for information on how to get started contributing to the project.