Welcome to your new Function project!
This sample project contains a single function based on Spring Cloud Function: echo.EchoFunction
, which returns an echo of the data passed via CloudEvents.
Make sure that Java 17 SDK
is installed since Spring Boot 3.0 requires Java 17.
To start server locally run ./mvnw spring-boot:run
.
The command starts http server and automatically watches for changes of source code.
If source code changes the change will be propagated to running server. It also opens debugging port 5005
so a debugger can be attached if needed.
To run tests locally run ./mvnw test
.
It's recommended to set FUNC_REGISTRY
environment variable.
# replace ~/.bashrc by your shell rc file
# replace docker.io/johndoe with your registry
export FUNC_REGISTRY=docker.io/johndoe
echo "export FUNC_REGISTRY=docker.io/johndoe" >> ~/.bashrc
This command builds an OCI image for the function. By default, this will build a JVM image.
func build -v # build image
Note: If you want to enable the native build, you need to edit the func.yaml
file and
set the BP_NATIVE_IMAGE
BuilderEnv variable to true:
buildEnvs:
- name: BP_NATIVE_IMAGE
value: "true"
Note: If you have issues with the Spring AOT processing in your build, you can turn this off by editing the func.yaml
file and remove the -Pnative
profile from the BP_MAVEN_BUILD_ARGUMENTS
BuilderEnv variable:
buildEnvs:
- name: BP_MAVEN_BUILD_ARGUMENTS
value: -Pnative -Dmaven.test.skip=true --no-transfer-progress package
Removing the
-Pnative
profile means that you no longer will be able to build as a native image.
This command runs the func locally in a container using the image created above.
func run
This command will build and deploy the function into cluster.
func deploy -v # also triggers build
Building Spring Boot apps with Paketo Buildpacks on an ARM processor based system, like an Apple Macbook with an M1 or M2 chip, doesn't work well at the moment. To work around this you can build the image on your local system using Jib. Then, you would deploy the Jib generated image.
./mvnw compile com.google.cloud.tools:jib-maven-plugin:3.3.1:dockerBuild -Dimage=$FUNC_REGISTRY/echo
func deploy --build=false --image=$FUNC_REGISTRY/echo
Spring Cloud Functions allows you to route CloudEvents to specific functions using the Ce-Type
attribute.
For this example, the CloudEvent is routed to the echo
function. You can define multiple functions inside this project
and then use the Ce-Type
attribute to route different CloudEvents to different Functions.
Check the src/main/resources/application.properties
file for the functionRouter
configurations.
Notice that you can also use path-based
routing and send the any event type by specifying the function path,
for this example: "$URL/echo".
For the examples below, please be sure to set the URL
variable to the route of your function.
You get the route by following command.
func info
Note the value of Routes: from the output, set $URL
to its value.
TIP:
If you use kn
then you can set the url by:
# kn service describe <function name> and show route url
export URL=$(kn service describe $(basename $PWD) -ourl)
Using func invoke
command with CloudEvents Ce-Type
routing:
func invoke --type "echo"
Using Path-Based routing:
func invoke --target "$URL/echo"
Using CloudEvents Ce-Type
routing:
curl -v "$URL/" \
-H "Content-Type:application/json" \
-H "Ce-Id:1" \
-H "Ce-Subject:Echo" \
-H "Ce-Source:cloud-event-example" \
-H "Ce-Type:echo" \
-H "Ce-Specversion:1.0" \
-w "\n" \
-d "hello"
Using Path-Based routing:
curl -v "$URL/echo" \
-H "Content-Type:application/json" \
-H "Ce-Id:1" \
-H "Ce-Subject:Echo" \
-H "Ce-Source:cloud-event-example" \
-H "Ce-Type:echo" \
-H "Ce-Specversion:1.0" \
-w "\n" \
-d "hello"
Using CloudEvents Ce-Type
routing:
echo hello | http -v "$URL/" \
Content-Type:application/json \
Ce-Id:1 \
Ce-Subject:Echo \
Ce-Source:cloud-event-example \
Ce-Type:MyEvent \
Ce-Specversion:1.0
Using Path-Based routing:
echo hello | http -v "$URL/echo" \
Content-Type:application/json \
Ce-Id:1 \
Ce-Subject:Echo \
Ce-Source:cloud-event-example \
Ce-Type:MyEvent \
Ce-Specversion:1.0
To remove the deployed function from your cluster, run:
func delete