Development Guide #
We gathered a set of best practices here to aid development.
Build from sources #
In order to build the operator you need to clone the git repository.
git clone https://github.com/apache/flink-kubernetes-operator.git
To build from the command line, it is necessary to have Maven 3 and a Java Development Kit (JDK) installed. Please note that Flink Kubernetes Operator requires Java 11.
To build the project, you can use the following command:
mvn clean install
To speed up the build you can:
- skip the tests by using ’ -DskipTests'
- use Maven’s parallel build feature, e.g., ‘mvn package -T 1C’ will attempt to build 1 module for each CPU core in parallel
mvn clean install -DskipTests -T 1C
Local environment setup #
Building docker images #
You can build your own flavor of image as follows via specifying your
docker build . -t <repo>/flink-kubernetes-operator:latest docker push <repo>/flink-kubernetes-operator:latest
If you are using minikube you might want to load the image directly instead of pushing it to a registry:
minikube image load <repo>/flink-kubernetes-operator:latest
You can cut a corner via using the docker daemon of your minikube installation directly as follows:
eval $(minikube docker-env) DOCKER_BUILDKIT=1 docker build . -t <repo>/flink-kubernetes-operator:latest
When you want to reset your environment to the defaults you can do the following:
eval $(minikube docker-env --unset)
The most useful insight when it comes to minikube that it is just a docker container on your local machine and you can ssh to it with the following command in case you needed to hack something there (like adding a hostpath mount or modifying docker images).
minikube ssh Last login: Wed Mar 9 10:01:21 2022 from 192.168.49.1 docker@minikube:~$ docker images REPOSITORY TAG IMAGE ID CREATED SIZE flink-kubernetes-operator latest cf7856d9ef59 23 hours ago 578MB docker@minikube:~$ exit
Installing the operator locally #
helm install flink-kubernetes-operator helm/flink-kubernetes-operator --set image.repository=<repo>/flink-kubernetes-operator --set image.tag=latest
To uninstall you can simply call:
helm uninstall flink-kubernetes-operator
Running the operator from the IDE #
You can run or debug the
FlinkOperator from your preferred IDE. The operator itself is accessing the deployed Flink clusters through the REST interface. When running locally the
kubernetes.rest-service.exposed.type Flink configuration parameters must be modified.
minikube tunnel the rest service is exposed on
> minikube tunnel > kubectl get services NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE basic-session-example ClusterIP None <none> 6123/TCP,6124/TCP 14h basic-session-example-rest LoadBalancer 10.96.36.250 127.0.0.1 8081:30572/TCP 14h
The operator picks up the default log and flink configurations from
/opt/flink/conf. You can put the rest configuration parameters here:
cat /opt/flink/conf/flink-conf.yaml rest.port: 8081 rest.address: localhost kubernetes.rest-service.exposed.type: LoadBalancer
Due to fabric8 conflicts between core Flink and the operator, the
flink-kubernetes-operator module depends on the shaded
flink-kubernetes-standalone jar which contains the relocated version of the old fabric8 Kubernetes client. Unfortunately IntelliJ is not great at handling dependencies with classifiers so you might get the following error when trying to run
java.lang.NoSuchMethodError: 'java.lang.Object io.fabric8.kubernetes.client.dsl.ServiceResource.fromServer()'
There are two solutions to this problem, both requires you to first build the project.
mvn clean install
- Import the
flink-kubernetes-operatorsubmodule as a separate IntelliJ project. This will resolve the classifier dependency correctly from your local maven cache.
- If you want to keep a single multi-module project, you need to add the
flink-kubernetes-standalone-XX-shaded.jaron the classpath manually when running the main method:
Edit Run Configuration/Modify Options/Modify Classpath
Generating and Upgrading the CRD #
By default, the CRD is generated by the Fabric8 CRDGenerator, when building from source. When installing flink-kubernetes-operator for the first time, the CRD will be applied to the kubernetes cluster automatically. But it will not be removed or upgraded when re-installing the flink-kubernetes-operator, as described in the relevant helm documentation. So if the CRD is changed, you have to delete the CRD resource manually, and re-install the flink-kubernetes-operator.
kubectl delete crd flinkdeployments.flink.apache.org
The operator supports to specify the volume mounts. The default mounts to hostPath can be activated by the following command. You can change the default mounts in the
helm install flink-operator helm/flink-operator --set operatorVolumeMounts.create=true --set operatorVolumes.create=true
We use GitHub Actions to help you automate your software development workflows in the same place you store code and collaborate on pull requests and issues. You can write individual tasks, called actions, and combine them to create a custom workflow. Workflows are custom automated processes that you can set up in your repository to build, test, package, release, or deploy any code project on GitHub.
Considering the cost of running the builds, the stability, and the maintainability, flink-kubernetes-operator chose GitHub Actions and build the whole CI/CD solution on it. All the unit tests, integration tests, and the end-to-end tests will be triggered for each PR.
Note: Please make sure the CI passed before merging.