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This is an sample operator created by using the operator-sdk

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Compile the Binary

You can run the make build command to get the learn-operator binary. As follow:

$ make build
mkdir -p "build/_output/bin/"
export GO111MODULE=on && export GOPROXY=https://goproxy.io && go build -o "build/_output/bin//learn-operator" "./cmd/manager/main.go"

$ ls -l build/_output/bin/learn-operator 
-rwxr-xr-x. 1 root root 39674923 Oct 22 22:23 build/_output/bin/learn-operator
$ ./build/_output/bin/learn-operator --help
Usage of ./build/_output/bin/learn-operator:
      --kubeconfig string                Paths to a kubeconfig. Only required if out-of-cluster.
      --master --kubeconfig              (Deprecated: switch to --kubeconfig) The address of the Kubernetes API server. Overrides any value in kubeconfig. Only required if out-of-cluster.
      --zap-devel                        Enable zap development mode (changes defaults to console encoder, debug log level, and disables sampling)
      --zap-encoder encoder              Zap log encoding ('json' or 'console')
      --zap-level level                  Zap log level (one of 'debug', 'info', 'error' or any integer value > 0) (default info)
      --zap-sample sample                Enable zap log sampling. Sampling will be disabled for integer log levels > 1
      --zap-time-encoding timeEncoding   Sets the zap time format ('epoch', 'millis', 'nano', or 'iso8601') (default )
pflag: help requested

Create a Docker image for this binary

You can use this Dockerfile, as follows:

$ docker build -f build/Dockerfile -t quay.io/olmqe/learn-operator:v1 .
Sending build context to Docker daemon  40.27MB
Step 1/7 : FROM registry.access.redhat.com/ubi8/ubi-minimal:latest
latest: Pulling from ubi8/ubi-minimal
0fd3b5213a9b: Already exists 
aebb8c556853: Already exists 
Digest: sha256:5cfbaf45ca96806917830c183e9f37df2e913b187aadb32e89fd83fa455ebaa6
Status: Downloaded newer image for registry.access.redhat.com/ubi8/ubi-minimal:latest
 ---> 28095021e526
Step 2/7 : ENV OPERATOR=/usr/local/bin/learn-operator     USER_UID=1001     USER_NAME=learn-operator
 ---> Running in 8ea785dc7d31
Removing intermediate container 8ea785dc7d31
 ---> e58d351d046f
Step 3/7 : COPY build/_output/bin/learn-operator ${OPERATOR}
 ---> 24a495093ff2
Step 4/7 : COPY build/bin /usr/local/bin
 ---> b31ea373b410
Step 5/7 : RUN  /usr/local/bin/user_setup
 ---> Running in 203017c7df32
+ mkdir -p /root
+ chown 1001:0 /root
+ chmod ug+rwx /root
+ chmod g+rw /etc/passwd
+ rm /usr/local/bin/user_setup
Removing intermediate container 203017c7df32
 ---> 7217a26389de
Step 6/7 : ENTRYPOINT ["/usr/local/bin/entrypoint"]
 ---> Running in 4f2253ae0857
Removing intermediate container 4f2253ae0857
 ---> eca03f1431ac
Step 7/7 : USER ${USER_UID}
 ---> Running in 418b6dd2d390
Removing intermediate container 418b6dd2d390
 ---> 6d1c3e2b3445
Successfully built 6d1c3e2b3445
Successfully tagged quay.io/olmqe/learn-operator:v1

Create Bundle Image

Each Bundle image for a single operator version. You can use the tool opm to do this. Steps as follows:

  1. Run the opm alpha bundle build command:
$ opm alpha bundle build -c 0.0.1, 0.0.2 -e 0.0.1 -d ./ manifests/learn/0.0.1/ -p learn -t quay.io/olmqe/learn-operator-bundle:v1
INFO[0000] Building annotations.yaml                    
INFO[0000] Writing annotations.yaml in /data/goproject/src/github.com/jianzhangbjz/learn-operator/manifests/learn/metadata 
INFO[0000] Building Dockerfile                          
INFO[0000] Writing bundle.Dockerfile in /data/goproject/src/github.com/jianzhangbjz/learn-operator/manifests 
INFO[0000] Building bundle image                        
Sending build context to Docker daemon  179.7kB
Step 1/9 : FROM scratch
 ---> 
Step 2/9 : LABEL operators.operatorframework.io.bundle.mediatype.v1=registry+v1
 ---> Using cache
 ---> 7e95ac289bf7
Step 3/9 : LABEL operators.operatorframework.io.bundle.manifests.v1=manifests/
 ---> Using cache
 ---> c7798578d997
Step 4/9 : LABEL operators.operatorframework.io.bundle.metadata.v1=metadata/
 ---> Using cache
 ---> a4cf559f3fb0
Step 5/9 : LABEL operators.operatorframework.io.bundle.package.v1=learn
 ---> Running in 359602eb2125
Removing intermediate container 359602eb2125
 ---> 284edc1a52d6
Step 6/9 : LABEL operators.operatorframework.io.bundle.channels.v1=0.0.1,
 ---> Running in c94d5babcb7d
Removing intermediate container c94d5babcb7d
 ---> 053dffd07355
Step 7/9 : LABEL operators.operatorframework.io.bundle.channel.default.v1=0.0.1
 ---> Running in f5d7e48665f8
Removing intermediate container f5d7e48665f8
 ---> 9477882f546b
Step 8/9 : COPY learn/0.0.1 /manifests/
 ---> c5fd2cb76085
Step 9/9 : COPY learn/metadata /metadata/
 ---> 84d985ca43c5
Successfully built 84d985ca43c5
Successfully tagged quay.io/olmqe/learn-operator-bundle:v1
  1. Push this image to the Quay.io registry, and make it public.
$ docker push quay.io/olmqe/learn-operator-bundle:v1
The push refers to repository [quay.io/olmqe/learn-operator-bundle]
2f161fcac2d0: Pushed 
8b4c261611af: Pushed 
v1: digest: sha256:5a0a4d18a1ac46b22e09e5052e42aeabbe603006b603e08297f8a8e50ee2c343 size: 732

Create Index Image

  1. Run opm index add command, like
$ opm index add -b quay.io/olmqe/learn-operator-bundle:v1 -t quay.io/olmqe/learn-operator-index:v1
INFO[0000] building the index                            bundles="[quay.io/olmqe/learn-operator-bundle:v1]"
INFO[0000] resolved name: quay.io/olmqe/learn-operator-bundle:v1 
INFO[0000] fetched                                       digest="sha256:5a0a4d18a1ac46b22e09e5052e42aeabbe603006b603e08297f8a8e50ee2c343"
INFO[0000] fetched                                       digest="sha256:078cddf8bb1fa7c6f24ed8cf677f7e5a455c2770668904db955085a4fe154e08"
INFO[0000] fetched                                       digest="sha256:84d985ca43c5e5c0a9b6a2c58482d7cf2acc5fda44c1e6ff28d32932f0736a2c"
INFO[0000] fetched                                       digest="sha256:11a088f33d1202b278d197166978dd54b24e493251f949fbe710d03bbc719e52"
INFO[0000] unpacking layer: {application/vnd.docker.image.rootfs.diff.tar.gzip sha256:11a088f33d1202b278d197166978dd54b24e493251f949fbe710d03bbc719e52 1590 [] map[] <nil>} 
INFO[0000] unpacking layer: {application/vnd.docker.image.rootfs.diff.tar.gzip sha256:078cddf8bb1fa7c6f24ed8cf677f7e5a455c2770668904db955085a4fe154e08 285 [] map[] <nil>} 
INFO[0000] Could not find optional dependencies file     dir=bundle_tmp889724958 file=bundle_tmp889724958/metadata load=annotations
INFO[0000] found csv, loading bundle                     dir=bundle_tmp889724958 file=bundle_tmp889724958/manifests load=bundle
INFO[0000] loading bundle file                           dir=bundle_tmp889724958/manifests file=learn-operator.v0.0.1.clusterserviceversion.yaml load=bundle
INFO[0000] loading bundle file                           dir=bundle_tmp889724958/manifests file=learn.crd.yaml load=bundle
INFO[0000] Generating dockerfile                         bundles="[quay.io/olmqe/learn-operator-bundle:v1]"
INFO[0000] writing dockerfile: index.Dockerfile794041612  bundles="[quay.io/olmqe/learn-operator-bundle:v1]"
INFO[0000] running podman build                          bundles="[quay.io/olmqe/learn-operator-bundle:v1]"
INFO[0000] [podman build --format docker -f index.Dockerfile794041612 -t quay.io/olmqe/learn-operator-index:v1 .]  bundles="[quay.io/olmqe/learn-operator-bundle:v1]"
  1. Push this index image to Quay.io and make it public.
$ podman push quay.io/olmqe/learn-operator-index:v1
Getting image source signatures
Copying blob afef313ed14c done  
Copying blob 4150c4f2e6df skipped: already exists  
Copying blob 5a2855009e89 skipped: already exists  
Copying blob 87b4d8523d6d skipped: already exists  
Copying blob 50644c29ef5a skipped: already exists  
Copying config cf42b3cf7c done  
Writing manifest to image destination
Writing manifest to image destination
Storing signatures

Deploy it on OCP4.x

  1. Create and deploy the CatalogSource for it, like below:
$ cat cs-learn.yaml 
apiVersion: operators.coreos.com/v1alpha1
kind: CatalogSource
metadata:
  name: demo-learn
  namespace: openshift-marketplace
spec:
  displayName: Jian Test
  publisher: Jian
  sourceType: grpc
  image: quay.io/olmqe/learn-operator-index:v1
  updateStrategy:
    registryPoll:
      interval: 10m

$ oc create -f cs-learn.yaml 
catalogsource.operators.coreos.com/demo-learn created

$ oc get catalogsource
NAME                  DISPLAY                TYPE   PUBLISHER      AGE
certified-operators   Certified Operators    grpc   Red Hat        41m
community-operators   Community Operators    grpc   Red Hat        41m
demo-learn            Jian Test              grpc   Jian           7s
qe-app-registry       Production Operators   grpc   OpenShift QE   22m
redhat-marketplace    Red Hat Marketplace    grpc   Red Hat        41m
redhat-operators      Red Hat Operators      grpc   Red Hat        41m

$ oc get packagemanifest|grep learn
learn                                                Jian Test              31s
  1. Subscribe this learn-operator, you can do this on WebConsole too. In the backend, you need to create the OperatorGroup object first, like below:
$ cat og.yaml 
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
  name: test-og
  namespace: default
spec:
  targetNamespaces:
  - default

$ cat sub-learn.yaml 
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
  name: learn
  namespace: default
spec:
  channel: 0.0.1
  installPlanApproval: Automatic
  name: learn
  source: demo-learn
  sourceNamespace: openshift-marketplace
  startingCSV: learn-operator.v0.0.1

After create them, you will get the below objects:

$ oc get sub -n default
NAME    PACKAGE   SOURCE       CHANNEL
learn   learn     demo-learn   0.0.1
$ oc get ip -n default
NAME            CSV                     APPROVAL    APPROVED
install-26wbx   learn-operator.v0.0.1   Automatic   true
$ oc get csv -n default
NAME                    DISPLAY          VERSION   REPLACES   PHASE
learn-operator.v0.0.1   Learn Operator   0.0.1                Succeeded

Create the Learn CR

You will get an example-learn instance and its two pods, as follows:

# cat learn-instance.yaml 
apiVersion: app.learn.com/v1
kind: Learn
metadata:
  name: example-learn
  namespace: default
spec:
  size: 2

$ oc get learn -n default
NAME            AGE
example-learn   34m
$ oc get pods -n default
NAME                             READY   STATUS    RESTARTS   AGE
example-learn-85fc47cf75-7fq2m   1/1     Running   0          34m
example-learn-85fc47cf75-jv9mg   1/1     Running   0          34m
learn-operator-9cd7b7d5c-ffxs9   1/1     Running   0          40m

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This is an sample operator created by using the operator-sdk

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