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Migration Guide 2.0.x to 2.1.x

The most notable new feature in version 2.1.x is the native Flink and Spark integration support.

When migrating from 2.0.x to 2.1.x, it is required to update the Cloudflow operator, update the kubectl-cloudflow plugin, update the sbt-cloudflow plugin and rebuild your application.

To take advantage of the native integration feature, you will need to take the following steps:

  • Undeploy the existing application from your cluster with kubectl cloudflow undeploy

  • Update the cloudflow operator to 2.1.x using the helm chart, as described in Upgrading Cloudflow

  • Update kubectl-cloudflow plugin to 2.1.x, as described in xref:get-started:prepare-development-environment.adoc#_download_and_install_the_cloudflow_cli

  • Rebuild your project with sbt buildApp, use version 2.1.x of the sbt-cloudflow plugin, use the native plugin(s) from the cloudflow-contrib project, as documented in Cloudflow contrib

The cloudflow-contrib project describes the steps you need to take next, in summary: - Deploy your application with kubectl cloudflow deploy, with the --unmanaged-runtimes option, for instance using --unmanaged-runtimes=flink - Setup RBAC for a service account that will be used for native integration, this has to be done once, per application. - Deploy Flink and Spark streamlets using the example, and scripts in cloudflow-contrib/example-scripts/flink and cloudflow-contrib/example-scripts/spark-cli directories. Please note that these scripts provide a good starting point for using native Flink integration, you can customize these to your specific environment and requirements.

Uninstall the Flink and Spark operators with the commands below:

helm uninstall --namespace cloudflow flink-operator
helm uninstall --namespace cloudflow spark-operator
From version 2.0.20 and onward, Docker images will be built on top of the standard adoptopenjdk/openjdk8 image. Runtime specific base images usage has been deprecated (for example, cloudflowFlinkBaseImage). If you are still using this type of image, and need to customize the image, simply add additional instructions to extraDockerInstructions. Please note that, from version 2.0.20 and up, Cloudflow ships with a new kubectl-cloudflow plugin. From the utilization perspective, nothing changes, apart from the need for an = sign in between the streamlet name and the number of replicas in the scale subcommand.