• OpenShift Container Storage Operator
• Deploying pre-built images
  • Prerequisites
  • Dedicated nodes
  • Installation
• Development
  • Tools
  • Build
    1. OCS Operator
    2. OCS Metric Exporter
    3. OCS Operator Bundle
    4. OCS Operator Catalog
  • Deploying development builds
• Initial Configuration
  • Modifying Initial Configuration
• Functional Tests
  • Prerequisites for running Functional Tests
  • Running functional test
  • Functional test phases
  • Developing Functional Tests
  • Running a single test
  • Debugging Functional Test Failures
    • Functional test stdout log
    • PROW artifacts

This is the primary operator for Red Hat OpenShift Container Storage (OCS). It is a "meta" operator, meaning it serves to facilitate the other operators in OCS by performing administrative tasks outside their scope as well as watching and configuring their CustomResources (CRs).

OCS Operator will install its components only on nodes labelled for OCS with cluster.ocs.openshift.io/openshift-storage=''.

To label the nodes from CLI,

$ oc label nodes <NodeName> cluster.ocs.openshift.io/openshift-storage=''

OCS requires at least 3 nodes labelled this way.

Note: When deploying via Console, the creation wizard takes care of labelling the selected nodes.

In case dedicated storage nodes are available, these can also be tainted to allow only OCS components to be scheduled on them. Nodes need to be tainted with node.ocs.openshift.io/storage=true:NoSchedule which can be done from the CLI as follows,

$ oc adm taint nodes <NodeNames> node.ocs.openshift.io/storage=true:NoSchedule

Note: The dedicated/tainted nodes will only run OCS components. The nodes will not run any apps. Therefore, if you taint, you need to have additional worker nodes that are untainted. If you don't, you will be unable to run any other apps in you OpenShift cluster.

The OCS operator can be installed into an OpenShift cluster using Operator Lifecycle Manager (OLM).

For quick install using pre-built container images, deploy the deploy-olm.yaml manifest.

$ oc create -f ./deploy/deploy-with-olm.yaml

This creates:

• a custom CatalogSource
• a new openshift-storage Namespace
• an OperatorGroup
• a Subscription for OCS & a Subscription for NOOBAA, to the OCS catalog in the openshift-storage namespace

You can check the status of the CSVs using the following command:

$ oc get csv -n openshift-storage
NAME                      DISPLAY                       VERSION   REPLACES   PHASE
noobaa-operator.v5.14.0   NooBaa Operator               5.14.0               Succeeded
ocs-operator.v4.14.0      OpenShift Container Storage   4.14.0               Succeeded

This can take a few minutes. Once PHASE says Succeeded you can create a StorageCluster.

StorageCluster can be created from the console, using the StorageCluster creation wizard. From the CLI, a StorageCluster resource can be created using the example CR as follows,

$ oc create -f ./config/samples/ocs_v1_storagecluster.yaml

• Operator SDK

• Kustomize

• controller-gen

• OPM

The operator image can be built via:

$ make ocs-operator

The metric exporter image can be built via:

$ make ocs-metrics-exporter

To create an operator bundle image, run

$ make operator-bundle

Note: Push the OCS Bundle image to image registry before moving to next step.

An operator catalog image can then be built using,

$ make operator-catalog

To install own development builds of OCS, first set your own REGISTRY_NAMESPACE and IMAGE_TAG.

$ export REGISTRY_NAMESPACE=<quay-username>
$ export IMAGE_TAG=<some-tag>

Then build and push the ocs-operator & ocs-metrics-exporter image to your own image repository.

$ make ocs-operator
$ podman push quay.io/$REGISTRY_NAMESPACE/ocs-operator:$IMAGE_TAG

$ make ocs-metrics-exporter
$ podman push quay.io/$REGISTRY_NAMESPACE/ocs-metrics-exporter:$IMAGE_TAG

Then build and push the operator bundle image.

$ make operator-bundle
$ podman push quay.io/$REGISTRY_NAMESPACE/ocs-operator-bundle:$IMAGE_TAG

Next build and push the operator catalog image.

$ make operator-catalog
$ podman push quay.io/$REGISTRY_NAMESPACE/ocs-operator-catalog:$IMAGE_TAG

Now create a namespace and an OperatorGroup for OCS

$ oc create ns openshift-storage

$ cat <<EOF | oc create -f -
apiVersion: operators.coreos.com/v1alpha2
kind: OperatorGroup
metadata:
  name: openshift-storage-operatorgroup
  namespace: openshift-storage
spec:
  targetNamespaces:
    - openshift-storage
EOF

Then add a new CatalogSource using the newly built and pushed catalog image.

$ cat <<EOF | oc create -f -
apiVersion: operators.coreos.com/v1alpha1
kind: CatalogSource
metadata:
  name: ocs-catalogsource
  namespace: openshift-marketplace
spec:
  sourceType: grpc
  image: quay.io/$REGISTRY_NAMESPACE/ocs-operator-catalog:$IMAGE_TAG
  displayName: OpenShift Container Storage
  publisher: Red Hat
EOF

Finally create ocs & noobaa subscription.

$ cat <<EOF | oc create -f -
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
  name: ocs-subscription
  namespace: openshift-storage
spec:
  channel: alpha
  name: ocs-operator
  source: ocs-catalogsource
  sourceNamespace: openshift-marketplace
EOF

$ cat <<EOF | oc create -f -
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
  name: noobaa-subscription
  namespace: openshift-storage
spec:
  channel: alpha
  name: noobaa-operator
  source: ocs-catalogsource
  sourceNamespace: openshift-marketplace
EOF

When the operator starts, it will create a single OCSInitialization resource. That will cause various initial configuration to be created, including default StorageClasses.

The OCSInitialization resource is a singleton. If the operator sees one that it did not create, it will write an error message to its status explaining that it is being ignored.

You may modify or delete any of the operator's initial data. To reset and restore that data to its initial state, delete the OCSInitialization resource. It will be recreated, and all associated resources will be either recreated or restored to their original state.

Our functional test suite uses the ginkgo testing framework. The ginkgo functests test suite in this repo is for developers. As new functionality is introduced into the ocs-operator, this repo allows developers to prove their functionality works by including tests within their PR. This is the test suite where we exercise ocs-operator deployment/update/uninstall as well as some basic workload functionality like creating PVCs.

• OCS must already be installed
• KUBECONFIG env var must be set

make functest

Below is some sample output of what to expect.

Building functional tests
hack/build-functest.sh
GINKO binary found at /home/dvossel/go/bin/ginkgo
Compiling functests...
    compiled functests.test
Running functional test suite
hack/functest.sh
Running Functional Test Suite
Running Suite: Tests Suite
==========================
Random Seed: 1568299067
Will run 1 of 1 specs

•
Ran 1 of 1 Specs in 7.961 seconds
SUCCESS! -- 1 Passed | 0 Failed | 0 Pending | 0 Skipped
PASS

There are 3 phases to the functional tests to be aware of.

1. BeforeSuite: At this step, the StorageCluster object is created and the test blocks waiting for the StorageCluster to come online.

2. Test Execution: Every written test can assume at this point that a StorageCluster is online and PVC actions should succeed.

3. AfterSuite: This is where test artifact cleanup occurs. Right now all tests should execute in the ocs-test namespace in order for artifacts to be cleaned up properly.

NOTE: The StorageCluster created in the BeforeSuite phase is not cleaned up. If you run the functional testsuite multiple times, BeforeSuite will simply fast succeed by detecting the StorageCluster already exists.

All the functional test code lives in the functests/ directory. For an example of how a functional test is structured, look at the functests/pvc_creation_test.go file.

The tests themselves should invoke simple to understand steps. Put any complex logic into separate helper files in the functests/ directory so test flows are easy to follow.

When developing a test, it's common to just want to run a single functional test rather than the whole suite. This can be done using ginkgo's "focus" feature.

All you have to do is put a F in front of the tests declaration to force only that test to run. So, if you have an iteration like It("some test") defined, you just need to set that to FIt("some test") to force the test suite to only execute that single test.

Make sure to remove the focus from your test before creating the pull request. Otherwise the test suite will fail in CI.

If an e2e test fails, you have access to two sets of data to help debug why the error occurred.

This will tell you what test failed and it also outputs some debug information pertaining to the test cluster's state after the test suite exits. In prow you can find this log by clicking on the details link to the right of the ci/prow/ocs-operator-bundle-e2e-aws test entry on your PR. From there you can click the Raw build-log.txt link to view the full log.

In addition to the raw test stdout, each e2e test result has a set of artifacts associated with it that you can view using prow. These artifacts let you retroactively view information about the test cluster even after the e2e job has completed.

To browse through the e2e test cluster artifacts, click on the details link to the right of the ci/prow/ocs-operator-bundle-e2e-aws test entry on your PR. From there look at the top right hand corner for the artifacts link. That will bring you to a directory tree. Follow the artifacts/ directory to the ocs-operator-bundle-e2e-aws/ directory. There you can find logs and information pertaining to objects in the cluster.