This document gives a detailed breakdown of the various build processes and options for building the Access Operator from source.
- Build Pre-Requisites
- Run Pre-Requisites
- Build and deploy from source
- Build details
- DCO Signoff
- Building container images for other platforms with Docker
buildx
To build this project you must first install several command line utilities.
make
- Make build systemmvn
(version 3.5 and above) - Maven CLIdocker
- Docker command line clientyq
- (version 4.2.1 and above) YAML manipulation tool.- Warning: There are several different
yq
YAML projects in the wild. Use this one. You need version 4.2.1 or above.
- Warning: There are several different
In order to use make
these all need to be available on your $PATH
.
The make
build uses GNU versions of find
, sed
and other utilities and is not compatible with the BSD versions
available on macOS. When using macOS, you have to install the GNU versions of find
and sed
. When using brew
, you
can do brew install gnu-sed findutils grep coreutils
.
This command will install the GNU versions as gcp
, ggrep
, gsed
and gfind
and our make
build will automatically pick them up and use them.
The mvn
tool might install the latest version of OpenJDK during the brew install. For builds on macOS to succeed,
OpenJDK version 17 needs to be installed. This can be done by running brew install openjdk@17
. For maven to read the
new Java version, you will need to edit the ~/.mavenrc
file and paste the following
line export JAVA_HOME=/Library/Java/JavaVirtualMachines/openjdk-17.jdk/Contents/Home
.
You may come across an issue of linking from the above step. To solve this run this command:
sudo ln -sfn /usr/local/opt/openjdk@17/libexec/openjdk.jdk /Library/Java/JavaVirtualMachines/openjdk-17.jdk
.
If this throws an error that it cannot find the file or directory, navigate into /Library/Java/
(or however deep you
can) and create a new folder named JavaVirtualMachines
followed by creating a file named openjdk-17.jdk
. The folder
structure after everything is said and done should look like /Library/Java/JavaVirtualMachines/openjdk-17.jdk
. After
doing that run the command at the beginning again and this should link the file and allow you to use maven with OpenJDK
version 17.
To start the operator you need the Strimzi Kafka and KafkaUser CRDs installed in your Kubernetes cluster. You can get these from the Strimzi GitHub repository, or use the Strimzi quickstart guide to also deploy the Strimzi cluster operator and a Kafka instance at the same time.
To build the operator from source the code needs to be compiled into a container image and placed in a location accessible to the Kubernetes/OpenShift nodes. The easiest way to make your personal build accessible, is to place it on Quay.io, Docker Hub or another container registry of your choice. Other build options (including options for limited or no network access) are available in the sections below this quick start guide.
-
If you don't have one already, create an account for your container registry. Then log your local Docker client into the registry using:
docker login <registry_name>
You can use
quay.io
for the registry name if using that registry or omit the registry name for Dockerhub. This command sets the credentials for thedocker push
registry target. -
Make sure that the
DOCKER_ORG
andDOCKER_REGISTRY
environment variables are set to the same value as your repository on the container registry, and the container registry you are using. For Docker Hub and Quay the repository is your username.export DOCKER_ORG=repository export DOCKER_REGISTRY=registry_name #defaults to quay.io if unset
By default, the
docker_push
target will build the images under the strimzi organisation ( e.g.strimzi/access-operator:latest
) and attempt to push them to the strimzi repositories on Quay. Only certain users are approved to do this, so you should push to your own Docker Hub organisation (account) instead. To do this, make sure that theDOCKER_ORG
andDOCKER_REGISTRY
environment variables are set before running themake
commands.
When the Docker images are build, they will be labeled in the form:registry_name/repository/access-operator:latest
in your local repository and pushed to your remote repository under the same label. -
Now build the Docker images and push them to your remote repository:
make all
Once this completes you should have a new repository under your registry:
registry_name/repository/access-operator
The tests run during the build can be skipped by setting the
MVN_ARGS
environment variable and passing that to the make command:make MVN_ARGS='-DskipTests -DskipITs' all
-
To use the newly built images, update the
packaging/install/cluster-operator/050-Deployment.yaml
to obtain the image from your chosen repository rather than the official Strimzi images:
Linuxsed -Ei -e "s#image: quay.io/strimzi/access-operator:latest#image: $DOCKER_REGISTRY/$DOCKER_ORG/access-operator:latest#" \ packaging/install/050-Deployment.yaml
macOS
sed -E -i '' -e "s#image: quay.io/strimzi/access-operator:latest#image: $DOCKER_REGISTRY/$DOCKER_ORG/access-operator:latest#" \ packaging/install/050-Deployment.yaml
This updates
050-Deployment.yaml
, replacing the image reference (in theimage
property) with one with the same name but with the repository changed.Note: please ensure you don't commit these changes accidentally.
-
Then deploy the Operator by running the following (this will create a namespace called
strimzi-access-operator
for your deployment, you can change the install files if needed to change the namespace):# Running against Kubernetes kubectl create -f packaging/install # Running against OpenShift oc create -f packaging/install
-
Deploy the Strimzi cluster operator and a Kafka instance. You can use the Strimzi quickstart guide to do this.
-
Finally, you can deploy a KafkaAccess custom resource running:
# Running against Kubernetes kubectl -n <namespace> create -f packaging/examples/kafka-access.yaml # Running against OpenShift oc -n <namespace> create -f packaging/examples/kafka-access.yaml
Make sure the
name
,namespace
andlistener
in the KafkaAccess custom resource match those of your Kafka instance. Theexamples
directory also includes an example for connecting to a Kafka cluster with a specific KafkaUser. -
The operator will create a Kubernetes secret with the same name and namespace as the KafkaAccess containing your connection details. You can run the following commands to see the contents with the values base64 decoded:
# Running against Kubernetes kubectl -n <namespace> get secret my-kafka-access -ojson | jq '.data|map_values(@base64d)' # Running against OpenShift oc -n <namespace> get secret my-kafka-access -ojson | jq '.data|map_values(@base64d)'
Strimzi includes a Makefile
with various Make targets to build the project.
Commonly used Make targets:
java_verify
for building the Java code and running tests.build
for building the Java code, copying the generated CRD into the packaging directory and building the Docker image.docker_build
for building only the Docker image (this assumes you have built the Java code already).docker_tag
for retagging the image built bydocker_build
(since thedocker_build
target will always build the images under thestrimzi
organization with the tag latest).docker_push
for pushing the image to a Docker registry (this also invokesdocker_tag
).
To use different Java version for the Maven build, you can specify the environment variable JAVA_VERSION_BUILD
and set
it to the desired Java version. For example, for building with Java 17 you can use export JAVA_VERSION_BUILD=17
.
Note: Operator currently developed and tested with Java 17.
Running make
invokes Maven for packaging the Java code.
The mvn
command can be customized by setting the MVN_ARGS
environment variable when launching make all
. For
example:
MVN_ARGS=-DskipTests make all
will compile test code, but not run unit or integration testsMVN_ARGS=-DskipITs make all
will compile test code and run unit tests, but not integration testsMVN_ARGS=-Dmaven.test.skip=true make all
won't compile test code and won't run unit or integration tests the integration tests.
When building the Docker images you can use an alternative JRE or use an alternate base image.
The docker images can be built with an alternative Java version by setting the environment variable JAVA_VERSION
. For
example, to build docker images that have the Java 17 JRE installed use JAVA_VERSION=17 make docker_build
. If not
present, the container images will use Java 17 by default.
The build assumes the docker
command is available on your $PATH
. You can set the DOCKER_CMD
environment variable
to use a different docker
binary or an alternative implementation such as podman
.
Target docker_tag
tags the Docker image built by the docker_build
target. This target is automatically called as
part of the docker_push
target, but can be called separately if you wish to avoid pushing images to an external
registry.
To configure the docker_tag
and docker_push
targets you can set following environment variables:
DOCKER_ORG
configures the Docker organization for tagging/pushing the images (defaults to the value of the$USER
environment variable)DOCKER_TAG
configured Docker tag (default islatest
)DOCKER_REGISTRY
configures the Docker registry where the image will be pushed (default isquay.io
)
If you do not want to have the docker daemon running on your local development machine, you can build the container images in your Minikube VM by setting your docker host to the address of the VM's daemon:
eval $(minikube docker-env)
The images will then be built and stored in the cluster VM's local image store and then pushed to your configured Docker registry.
You can avoid the docker_push
step and sed
commands above by configuring the Docker Host as above and then running:
make build
This labels your latest container build as strimzi/access-operator:latest
and you can then deploy the standard deployment without
changing the image target. However, this will only work if all instances of the imagePullPolicy:
setting are set
to IfNotPresent
or Never
. If not, then the cluster nodes will go to the upstream registry (Quay by default)
and pull the official images instead of using your freshly built image.
System tests has its own guide with more information. See Testing Guide document for more information.
The project requires that all commits are signed-off, indicating that you certify the changes with the developer
certificate of origin (DCO) (https://developercertificate.org/). This can be done using git commit -s
for each commit
in your pull request. Alternatively, to signoff a bunch of commits you can use git rebase --signoff _your-branch_
.
You can add a commit-msg hook to warn you if the commit you just made locally has not been signed off. Add the following
line to you .git/hooks/commit-msg
script to print the warning:
./tools/git-hooks/signoff-warning-commit-msg $1
The Checkstyle plugin runs on all pull requests to the Strimzi repository. If you haven't compiled the code via maven, before you submit the PR, then formatting bugs can slip through and this can lead to annoying extra pushes to fix things. In the first instance you should see if your IDE has a Checkstyle plugin that can highlight errors in-line, such as this one for IntelliJ.
You can also run the Checkstyle plugin for every commit you make by adding a pre-commit hook to your local Strimzi git
repository. To do this, add the following line to your .git/hooks/pre-commit
script, to execute the checks and fail
the commit if errors are detected:
./tools/git-hooks/checkstyle-pre-commit
Docker supports building images for different platforms using the docker buildx
command. If you want to use it to
build the ioeratir unage, you can just set the environment variable DOCKER_BUILDX
to buildx
, set the environment
variable DOCKER_BUILD_ARGS
to pass additional build options such as the platform and run the build. For example
following can be used to build the image for Linux on Arm64 / AArch64:
export DOCKER_BUILDX=buildx
export DOCKER_BUILD_ARGS="--platform linux/amd64 --load"
make all
Note: Strimzi Access Operator currently does not officially support any other platforms than Linux on amd64
.