$ kn func create -r <repository> -l <runtime> -t <template> <path>
Function lifecycle management includes creating, building, and deploying a function. Optionally, you can also test a deployed function by invoking it. You can do all of these operations on OpenShift Serverless using the kn func
tool.
Before you can complete the following procedures, you must ensure that you have completed all of the prerequisite tasks in Setting up OpenShift Serverless Functions.
Before you can build and deploy a function, you must create it by using the Knative (kn
) CLI. You can specify the path, runtime, template, and image registry as flags on the command line, or use the -c
flag to start the interactive experience in the terminal.
The OpenShift Serverless Operator and Knative Serving are installed on the cluster.
You have installed the Knative (kn
) CLI.
Create a function project:
$ kn func create -r <repository> -l <runtime> -t <template> <path>
Accepted runtime values include quarkus
, node
, typescript
, go
, python
, springboot
, and rust
.
Accepted template values include http
and cloudevents
.
$ kn func create -l typescript -t cloudevents examplefunc
Created typescript function in /home/user/demo/examplefunc
Alternatively, you can specify a repository that contains a custom template.
$ kn func create -r https://github.com/boson-project/templates/ -l node -t hello-world examplefunc
Created node function in /home/user/demo/examplefunc
You can use the kn func run
command to run a function locally in the current directory or in the directory specified by the --path
flag. If the function that you are running has never previously been built, or if the project files have been modified since the last time it was built, the kn func run
command builds the function before running it by default.
$ kn func run
$ kn func run --path=<directory_path>
You can also force a rebuild of an existing image before running the function, even if there have been no changes to the project files, by using the --build
flag:
$ kn func run --build
If you set the build
flag as false, this disables building of the image, and runs the function using the previously built image:
$ kn func run --build=false
You can use the help command to learn more about kn func run
command options:
$ kn func help run
Before you can run a function, you must build the function project. If you are using the kn func run
command, the function is built automatically. However, you can use the kn func build
command to build a function without running it, which can be useful for advanced users or debugging scenarios.
The kn func build
command creates an OCI container image that can be run locally on your computer or on an OpenShift Container Platform cluster. This command uses the function project name and the image registry name to construct a fully qualified image name for your function.
By default, kn func build
creates a container image by using Red Hat Source-to-Image (S2I) technology.
$ kn func build
The OpenShift Container Registry is used by default as the image registry for storing function images.
$ kn func build
Building function image
Function image has been built, image: registry.redhat.io/example/example-function:latest
You can override using OpenShift Container Registry as the default image registry by using the --registry
flag:
$ kn func build --registry quay.io/username
Building function image
Function image has been built, image: quay.io/username/example-function:latest
You can deploy a function to your cluster as a Knative service by using the kn func deploy
command. If the targeted function is already deployed, it is updated with a new container image that is pushed to a container image registry, and the Knative service is updated.
The OpenShift Serverless Operator and Knative Serving are installed on the cluster.
You have installed the Knative (kn
) CLI.
You have created a project or have access to a project with the appropriate roles and permissions to create applications and other workloads in OpenShift Container Platform.
You must have already created and initialized the function that you want to deploy.
Deploy a function:
$ kn func deploy [-n <namespace> -p <path> -i <image>]
Function deployed at: http://func.example.com
If no namespace
is specified, the function is deployed in the current namespace.
The function is deployed from the current directory, unless a path
is specified.
The Knative service name is derived from the project name, and cannot be changed using this command.
You can use the kn func invoke
CLI command to send a test request to invoke a function either locally or on your OpenShift Container Platform cluster. You can use this command to test that a function is working and able to receive events correctly. Invoking a function locally is useful for a quick test during function development. Invoking a function on the cluster is useful for testing that is closer to the production environment.
The OpenShift Serverless Operator and Knative Serving are installed on the cluster.
You have installed the Knative (kn
) CLI.
You have created a project or have access to a project with the appropriate roles and permissions to create applications and other workloads in OpenShift Container Platform.
You must have already deployed the function that you want to invoke.
Invoke a function:
$ kn func invoke
The kn func invoke
command only works when there is either a local container image currently running, or when there is a function deployed in the cluster.
The kn func invoke
command executes on the local directory by default, and assumes that this directory is a function project.
You can delete a function by using the kn func delete
command. This is useful when a function is no longer required, and can help to save resources on your cluster.
Delete a function:
$ kn func delete [<function_name> -n <namespace> -p <path>]
If the name or path of the function to delete is not specified, the current directory is searched for a func.yaml
file that is used to determine the function to delete.
If the namespace is not specified, it defaults to the namespace
value in the func.yaml
file.