Deploying Flink applications

Learn more about how to deploy Flink applications.

Define the spec.job in the FlinkDeployment configuration file to create an application deployment as shown in the following example:

apiVersion: flink.apache.org/v1beta1
kind: FlinkDeployment
metadata:
  name: flink-kubernetes-tutorial
spec:
  image: [***REGISTRY HOST***]:[***PORT***]/[***PROJECT***]/flink-kubernetes-tutorial:latest
  flinkVersion: v1_18
  flinkConfiguration:
    taskmanager.numberOfTaskSlots: "4"
  serviceAccount: flink
  mode: native
  jobManager:
    resource:
      memory: "2048m"
      cpu: 1
  taskManager:
    resource:
      memory: "2048m"
      cpu: 1
  job:
    args: ["--rowsPerSec", "10"]
    jarURI: local:///opt/flink/usrlib/flink-kubernetes-tutorial.jar
    parallelism: 4
    state: running
    upgradeMode: stateless

The following properties are required for the application deployment:


Property	Description
`jarURI`	URI of the Flink job JAR file in the Docker image.
`parallelism`	Parallelism of the Flink job.
`state`	State of the Flink job that can be running or suspended.
`upgradeMode`	Upgrade mode of the Flink job that can be one of the following: `stateless`: No state will be saved `last-state`: Uses Flink high availability metadata to resume jobs `savepoint`: Uses Flink savepoints to cancel and resume jobs

Submit the YAML file to run the application when configuring the FlinkDeployment resource is complete:
```
kubectl apply -f your-deployment.yaml
```