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operator-bundle.md

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Operator Bundle

An Operator Bundle is a container image that stores Kubernetes manifests and metadata associated with an operator. A bundle is meant to present a specific version of an operator.

Operator Bundle Overview

The operator manifests refers to a set of Kubernetes manifest(s) the defines the deployment and RBAC model of the operator. The operator metadata on the other hand are, but not limited to:

  • Information that identifies the operator, its name, version etc.
  • Additional information that drives the UI:
    • Icon
    • Example CR(s)
  • Channel(s)
  • API(s) provided and required.
  • Related images.

An Operator Bundle is built as a scratch (non-runnable) container image that contains operator manifests and specific metadata in designated directories inside the image. Then, it can be pushed and pulled from an OCI-compliant container registry. Ultimately, an operator bundle will be used by Operator Registry and Operator-Lifecycle-Manager (OLM) to install an operator in OLM-enabled clusters.

Bundle Annotations

We use the following labels to annotate the operator bundle image.

  • The label operators.operatorframework.io.bundle.mediatype.v1 reflects the media type or format of the operator bundle. It could be helm charts, plain Kubernetes manifests etc.
  • The label operators.operatorframework.io.bundle.manifests.v1 reflects the path in the image to the directory that contains the operator manifests.
  • The label operators.operatorframework.io.bundle.metadata.v1 reflects the path in the image to the directory that contains metadata files about the bundle.
  • The manifests.v1 and metadata.v1 labels imply the bundle type:
    • The value manifests.v1 implies that this bundle contains operator manifests.
    • The value metadata.v1 implies that this bundle has operator metadata.
  • The label operators.operatorframework.io.bundle.package.v1 reflects the package name of the bundle.
  • The label operators.operatorframework.io.bundle.channels.v1 reflects the list of channels the bundle is subscribing to when added into an operator registry
  • The label operators.operatorframework.io.bundle.channel.default.v1 reflects the default channel an operator should be subscribed to when installed from a registry

The labels will also be put inside a YAML file, as shown below.

annotations.yaml

annotations:
  operators.operatorframework.io.bundle.mediatype.v1: "registry+v1"
  operators.operatorframework.io.bundle.manifests.v1: "manifests/"
  operators.operatorframework.io.bundle.metadata.v1: "metadata/"
  operators.operatorframework.io.bundle.package.v1: "test-operator"
  operators.operatorframework.io.bundle.channels.v1: "beta,stable"
  operators.operatorframework.io.bundle.channel.default.v1: "stable"

Notes:

  • In case of a mismatch, the annotations.yaml file is authoritative because the on-cluster operator-registry that relies on these annotations has access to the yaml file only.
  • The potential use case for the LABELS is - an external off-cluster tool can inspect the image to check the type of a given bundle image without downloading the content.

This example uses Operator Registry Manifests format to build an operator bundle image. The source directory of an operator registry bundle has the following layout.

$ tree test
test
├── testbackup.crd.yaml
├── testcluster.crd.yaml
├── testoperator.v0.1.0.clusterserviceversion.yaml
├── testrestore.crd.yaml
└── metadata
    └── annotations.yaml

Bundle Dockerfile

This is an example of a Dockerfile for operator bundle:

FROM scratch

# We are pushing an operator-registry bundle
# that has both metadata and manifests.
LABEL operators.operatorframework.io.bundle.mediatype.v1=registry+v1
LABEL operators.operatorframework.io.bundle.manifests.v1=manifests/
LABEL operators.operatorframework.io.bundle.metadata.v1=metadata/
LABEL operators.operatorframework.io.bundle.package.v1=test-operator
LABEL operators.operatorframework.io.bundle.channels.v1=beta,stable
LABEL operators.operatorframework.io.bundle.channel.default.v1=stable

ADD test/*.yaml /manifests
ADD test/metadata/annotations.yaml /metadata/annotations.yaml

Below is the directory layout of the operator bundle inside the image:

$ tree
/
├── manifests
│   ├── testbackup.crd.yaml
│   ├── testcluster.crd.yaml
│   ├── testoperator.v0.1.0.clusterserviceversion.yaml
│   └── testrestore.crd.yaml
└── metadata
    └── annotations.yaml

Operator Bundle Commands

opm (Operator Package Manager) is a CLI tool to generate bundle annotations, build bundle manifests image, validate bundle manifests image and other functionalities. Please note that the generate, build and validate features of opm CLI are currently in alpha and only meant for development use.

opm (Operator Package Manager)

In order to use opm CLI, follow the opm build instruction:

  1. Clone the operator registry repository:
$ git clone https://github.com/operator-framework/operator-registry
  1. Build opm binary using this command:
$ go build ./cmd/opm/

Now, a binary named opm is now built in current directory and ready to be used.

Generate Bundle Annotations and DockerFile

Notes:

  • If there are annotations.yaml and Dockerfile existing in the directory, they will be overwritten.

Using opm CLI, bundle annotations can be generated from provided operator manifests. The overall bundle generate command usage is:

Usage:
  opm alpha bundle generate [flags]

Flags:
  -c, --channels string    The list of channels that bundle image belongs to
  -e, --default string     The default channel for the bundle image
  -d, --directory string   The directory where bundle manifests for a specific version are located.
  -h, --help               help for generate
  -p, --package string     The name of the package that bundle image belongs to

  Note:
  * All manifests yaml must be in the same directory.

The --directory/-d, --channels/-c, --package/-p are required flags while --default/-e is optional.

The command for generate task is:

$ ./opm alpha bundle generate --directory /test --package test-operator \
--channels stable,beta --default stable

The --directory or -d specifies the directory where the operator manifests are located. The Dockerfile is generated in the same directory where the YAML manifests are located while the annotations.yaml file is located in a folder named metadata. For example:

$ tree test
test
├── testbackup.crd.yaml
├── testcluster.crd.yaml
├── testoperator.v0.1.0.clusterserviceversion.yaml
├── testrestore.crd.yaml
├── metadata
│   └── annotations.yaml
└── Dockerfile

The --package or -p is the name of package fo the operator such as etcd which which map channels to a particular application definition. channels allow package authors to write different upgrade paths for different users (e.g. beta vs. stable). The channels list is provided via --channels or -c flag. Multiple channels are separated by a comma (,). The default channel is provided optionally via --default or -e flag. If the default channel is not provided, the first channel in channel list is selected as default.

All information in annotations.yaml is also existed in LABEL section of Dockerfile.

The Dockerfile can be used manually to build the bundle image using container image tools such as Docker, Podman or Buildah. For example, the Docker build command would be:

$ docker build -f /path/to/Dockerfile -t quay.io/test/test-operator:latest /path/to/manifests/

Build Bundle Image

Operator bundle image can be built from provided operator manifests using build command (see Notes below). The overall bundle build command usage is:

Usage:
  opm alpha bundle build [flags]

Flags:
  -c, --channels string        The list of channels that bundle image belongs to
  -e, --default string         The default channel for the bundle image
  -d, --directory string       The directory where bundle manifests for a specific version are located
  -h, --help                   help for build
  -b, --image-builder string   Tool to build container images. One of: [docker, podman, buildah] (default "docker")
  -0, --overwrite               To overwrite annotations.yaml if existing
  -p, --package string         The name of the package that bundle image belongs to
  -t, --tag string             The name of the bundle image will be built

  Note:
  * Bundle image is not runnable.
  * All manifests yaml must be in the same directory.

The command for build task is:

$ ./opm alpha bundle build --directory /test --tag quay.io/coreos/test-operator.v0.1.0:latest \
--package test-operator --channels stable,beta --default stable

The --directory or -d specifies the directory where the operator manifests for a specific version are located. The --tag or -t specifies the image tag that you want the operator bundle image to have. By using build command, the annotations.yaml and Dockerfile are automatically generated in the background.

The default image builder is Docker. However, Buildah and Podman are also supported. An image builder can specified via --image-builder or -b optional tag in build command. For example:

$ ./opm alpha bundle build --directory /test/0.1.0/ --tag quay.io/coreos/test-operator.v0.1.0:latest \
--image-builder podman --package test-operator --channels stable,beta --default stable

The --package or -p is the name of package fo the operator such as etcd which which map channels to a particular application definition. channels allow package authors to write different upgrade paths for different users (e.g. beta vs. stable). The channels list is provided via --channels or -c flag. Multiple channels are separated by a comma (,). The default channel is provided optionally via --default or -e flag. If the default channel is not provided, the first channel in channel list is selected as default.

Notes:

  • If there is Dockerfile existing in the directory, it will be overwritten.
  • If there is an existing annotations.yaml in /metadata directory, the cli will attempt to validate it and returns any found errors. If the annotations.yaml is valid, it will be used as a part of build process. The optional boolean --overwrite/-o flag can be enabled (false by default) to allow cli to overwrite the annotations.yaml if existed.

Validate Bundle Image

Operator bundle image can validate bundle image that is publicly available in an image registry using validate command (see Notes below). The overall bundle validate command usage is:

Usage:
  opm alpha bundle validate [flags]

Flags:
  -t, --tag string             The name of the bundle image will be built
  -b, --image-builder string   Tool to extract container images. One of: [docker, podman] (default "docker")
  -h, --help                   help for build

The command for validate task is:

$ ./opm alpha bundle build --tag quay.io/coreos/test-operator.v0.1.0:latest --image-builder docker

The validate command will first extract the contents of the bundle image into a temporary directory after it pulls the image from its image registry. Then, it will validate the format of bundle image to ensure manifests and metadata are located in their appropriate directories (/manifests/ for bundle manifests files such as CSV and /metadata/ for metadata files such as annotations.yaml). Also, it will validate the information in annotations.yaml to confirm that metadata is matching the provided data. For example, the provided media type in annotations.yaml just matches the actual media type is provided in the bundle image.

After the bundle image format is confirmed, the command will validate the bundle contents such as manifests and metadata files if the bundle format is RegistryV1 or "Plain" type. "RegistryV1" format means it contains ClusterResourceVersion and its associated Kubernetes objects while PlainType means it contains all Kubernetes objects. The content validation process will ensure the individual file in the bundle image is valid and can be applied to an OLM-enabled cluster provided all necessary permissions and configurations are met.

Notes:

  • The bundle content validation is best effort which means it will not guarantee 100% accuracy due to nature of Kubernetes objects may need certain permissions and configurations, which users may not have, in order to be applied successfully in a cluster.