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DEVELOPMENT.md

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Develop and Contribute

Setup

Build PMEM-CSI

  1. Use make build-images to produce Docker* container images.g180

  2. Use make push-images to push Docker container images to a Docker image registry. The default is to push to a local Docker registry. Other registries can be configured by setting the variables described in the test-config.sh file. See the configuration options section below. Alternatively, the registry can also be set with a make variable: make push-images REGISTRY_NAME=my-registry:5000

See the Makefile for additional make targets and possible make variables.

The source code is developed and tested using the version of Go that is set with GO_VERSION in the Dockerfile. Other versions may or may not work. In particular, test_fmt and test_vendor are known to be sensitive to the version of Go.

Code quality

Coding style

The normal Go style guide applies and is enforced by make test, which calls gofmt.

Input validation

In most cases, input comes from a trusted source because network communication is protected by mutual TLS. The kubectl binaries run with the same privileges as the user invoking it.

Nonetheless, input needs to be validated to catch mistakes:

Release management

Branching

The master branch is the main branch. It is guaranteed to have passed full CI testing. However, the Dockerfile uses whatever is the latest upstream content for the base distribution and therefore tests results are not perfectly reproducible.

The devel branch contains additional commits on top of master which might not have been tested in that combination yet. Therefore it may be a bit less stable than master. The master branch gets advanced via a fast-forward merge after successful testing by the CI job that rebuilds and tests the devel branch.

Code changes are made via pull requests against devel. Each of them will be tested separately by the CI system before merging, but only a subset of the tests can be run due to time constraints.

Beware that after merging one PR, the existing pre-merge tests results for other PRs become stale because they were based on the old devel branch. Because devel is allowed to be less stable than master, it is okay to merge two PRs quickly after one another without retesting. If two merged PRs don't have code conflicts (which would be detected by GitHub*) but nonetheless don't work together, the combined testing in the devel branch will find that. This blocks updating master and thus needs to be dealt with quickly.

Releases are created by branching release-x.y from master or some older, stable revision. The actual vx.y.z release tags are set on revisions in the corresponding release-x.y branch.

Releases and the corresponding images are never changed. If something goes wrong after setting a tag (such as detecting a bug while testing the release images), a new release is created.

Container images reference a floating base image. Whatever version of that was current at the time of building the PMEM-CSI image then serves as base for the release. To ensure that the release image remains secure, it is scanned for known vulnerabilities regularly and a new release is prepared manually, if needed. The new release then uses a newer base image.

Tagging

The devel and master branch build and use the canary version of the PMEM-CSI driver images. Before tagging a release, all of those version strings need to be replaced by the upcoming version. All tagged releases then use the image that corresponds to that release.

The hack/set-version.sh script can be used to set these versions. The modified files then need to be committed. Merging such a commit triggers a rebuild of the devel branch, but does not yet produce a release; the actual image is pushed only when there is a tag that corresponds to the version embedded in the source code. The Jenkinsfile ensures that.

Release checklist

  • Create a new release-x.y branch.
  • Run hack/set-version.sh vx.y.z and commit the modified files.
  • Push to origin.
  • Create a draft release for that new branch, including a change log gathered from new commits.
  • Review the change log.
  • Tag vx.y.z manually and push to origin.
  • Wait for a successful CI build for that tag and promotion of the resulting images to Docker Hub.
  • Publish the GitHub release.
  • Run hack/merge-release.sh on the "devel" branch and push the fabricated merge commit. This documents that "devel" is at least as recent as the new release.
  • On the devel branch, add the new release to the main README.md and .github/workflows/publish.yml. Merge into devel, then cherry-pick into all release branches that might still get changes. Otherwise building the old release will cause the docsite to be generated without the new release.

Release PMEM-CSI operator

Follow the steps below to publish new operator release to OperatorHub:

  • Generate OLM package bundle for the new release
$ make operator-clean-bundle
$ make operator-generate-bundle VERSION=<X.Y.Z> REPLACES=<X.Y.Z> # semantic version numbers without v prefix

Running the above command generates the OLM package bundle files under deploy/olm-bundle/<X.Y.Z>

  • Clone k8s-operatorhub/community-operators repository
$ git clone https://github.com/k8s-operatorhub/community-operators.git
  • Copy the generated catalog files. Commit the changes and submit a pull request to community-operators repository.
$ cp -r <PMEM-CSI_ROOT>/deploy/olm-bundle/* <COMMUNITY-OPERATORS_ROOT>/operators/pmem-csi-operator/
$ cd <COMMUNITY-OPERATORS_ROOT>
$ git add operators/pmem-csi-operator/
$ git commit -s -m "Updating PMEM-CSI Operator to version <X.Y.Z>"

APIs

CSI API

Kubernetes* CSI API is exposed over a Unix domain socket. CSI operations are executed as gRPC calls. Input data is allowed as permitted by CSI specification. Output data is formatted as a gRPC response.

The following CSI operations are supported, with arguments specified by the CSI specification: CreateVolume, DeleteVolume, StageVolume, UnstageVolume, PublishVolume, UnpublishVolume, ListVolumes, GetCapacity, GetCapabilities, GetPluginInfo, and GetPluginCapabilities.

Network ports

Network ports are opened as configured in manifest files:

  • metrics endpoint: typical port values 10010 (PMEM-CSI) and 10011 (external-provisioner)

Local sockets

The Kubernetes CSI API is used over a local socket inside the same host.

  • unix:///var/lib/kubelet/plugins/pmem-csi-reg.sock
  • unix:///var/lib/kubelet/plugins/pmem-csi/csi.sock
  • unix:///var/lib/kubelet/plugins/pmem-csi/csi-controller.sock

Command line arguments

See the main.go files of the pmem-csi-driver and the pmem-csi-operator commands.

Environment variables

TEST_WORK is used by registry server unit-test code to specify the path to certificates in the test system.

Note: THIS IS NOT USED IN PRODUCTION.

NODE_NAME is a copy of the node name set for the pod which runs the external-provisioner on each node.

Logging

The klog.Info statements are used via the verbosity checker using the following levels:

  • klog.V(3) - Generic information. Level 3 is the default Info log level in pmem-csi, and example deployment files set this level for production configuration.
  • klog.V(4) - Elevated verbosity messages.
  • klog.V(5) - Even more verbose messages, useful for debugging and issue resolving. This level is used in testing type of deployment examples.

These are not the same levels as in the Kubernetes logging conventions.

There are also messages using klog.Warning, klog.Error, klog.Fatal, and their formatted counterparts.

Performance and resource measurements

The metrics server is needed for kubectl top node and kubectl top pod. In the QEMU cluster it has to be installed with insecure TLS because of kubernetes/kubeadm#2028. This can be done with:

kustomize build deploy/kustomize/metrics-server | kubectl create -f -

The Vertical Pod Autoscaler can be used to determine resource requirements of the PMEM-CSI pods. The hack/setup-va.sh script checks out the source code under _work and installs it.

For PMEM-CSI running in the default namespace, VPA can be instructed to provide recommendations with:

kubectl apply -k deploy/kustomize/vpa-for-pmem-csi/

Resource requirements depend on the workload. To generate some load, run

make test_e2e TEST_E2E_FOCUS=lvm-production.*late.binding.*stress.test

Alternatively, one can run the hack/stress-driver.sh helper script to generate load on the driver

ROUNDS=500 VOL_COUNT=5 ./hack/stress-driver.sh

Now resource recommendations can be retrieved with:

kubectl get vpa
kubectl describe vpa
kubectl get vpa pmem-csi-node -o jsonpath='{range .status.recommendation.containerRecommendations[*]}{.containerName}{":\n\tRequests: "}{.lowerBound}{"\n\tLimits: "}{.upperBound}{"\n"}{end}'

The default resource requirements used for the driver deployments by the operator are chosen from the VPA recommendations described in this section when using the stress-driver.sh script.

Accessing system directories in a container

The PMEM-CSI driver runs as a container, but it needs access to system directories /sys and /dev. Two related potential problems that have been diagnosed so far are listed below.

Read-only access to /sys

In some deployment schemes, /sys remains mounted read-only in the container running pmsm-csi-driver. This creates a problem for the driver that needs write access to /sys for namespaces management operations. There is start-time check for read-write mount of /sys in the code. An error in the pod log pmem-driver: Failed to run driver: FATAL: /sys mounted read-only, can not operate is the sign of such a state.

Access to /dev of host

Containers runtime may not pass /dev from host into the container. If the /dev/ of the host is not accessible in the PMEM-CSI container, access will fail to the newly created block device /dev/pmemX.Y which will not be visible inside the container. The driver does not detect the root cause of that problem during start-up, but only when a volume creation has failed. This problem can be avoided by specifying an explicit mount of /dev in the PMEM-CSI manifest.

Repository elements that are generated or created separately

Here are creation and update notes for the elements in the repository that are not hand-edited.

Top-level README diagrams describing LVM and Direct device modes

Two diagrams are created with dia drawing program. The single source file has layers: {common, lvm, direct} so that two diagram variants can be produced from a single source. Image files are produced by saving in PNG format with correct set of layers visible. The PNG files are committed as repository elements in docs/images/devicemodes/.

Top-level README diagram describing communication channels

This diagram was created with the dia drawing program using a source file.

An image file is produced by saving in PNG format. The PNG file is committed as a repository element.

Diagrams describing provisioning sequence

Two diagrams are generated using the plantuml program. Source files:

The PNG files are committed as repository elements in docs/images/sequence/.

Table of Contents in README and DEVELOPMENT

A Table of Contents (TOC) can be generated using multiple methods.

  • One method is to use pandoc

    $ pandoc -s -t markdown_github --toc README.md -o /tmp/temp.md

    Then check and hand-pick generated TOC part(s) from /tmp/temp.md and insert them in the desired location. Note that pandoc is known to produce incorrect TOC entries if headers contain special characters. This means that TOC generation will be more reliable if we avoid non-letter-or-number characters in the headers.

  • Another method is to use the emacs command markdown-toc-generate-toc and manually check and edit the generated part: we do not show generated third-level headings in README.md.

Build, edit, and deploy the Read the Docs site

The PMEM-CSI documentation is available as in-repo READMEs and as a GitHub* hosted website. The website is created using the Sphinx documentation generator and the well-known Read the Docs theme.

Build

Building the documentation requires Python* 3.x and venv.

$ make vhtml

Edit

Sphinx uses reStructuredText (reST) as the primary document source type but can be extended to use Markdown by adding the recommonmark and sphinx_markdown_tables extensions (see conf.json).

Change the navigation tree or add documents by updating the toctree. The main toctree is in index.rst:

.. toctree::
   :maxdepth: 2

   README.md
   docs/design.md
   docs/install.md
   docs/DEVELOPMENT.md
   docs/autotest.md
   examples/readme.rst
   Project GitHub repository <https://github.com/intel/pmem-csi>

reST files, Markdown files, and URLs can be added to a toctree. The :maxdepth: argument dictates the number of header levels to be displayed on that page. This website replaces the index.html output of this project with a redirect to README.html (the conversion of the top level README) to more closely match the in-repo documentation.

Any reST or Markdown file not referenced by a toctree will generate a warning in the build. This document has a toctree in:

  1. index.rst
  2. examples/readme.rst

Files or directories that are intentionally not referenced can be excluded in conf.json.

NOTE: Though GitHub can parse reST files, the toctree directive is Sphinx specific, so it is not understood by GitHub. examples/readme.rst is a good example. Adding the :hidden: argument to the toctree directive means that the toctree is not displayed in the Sphinx built version of the page.

Custom link handling

This project has some custom capabilities added to the conf.py to fix or improve how Sphinx generates the HTML site.

  1. Markdown files: Converts references to Markdown files that include anchors.

    [configuration options](autotest.md#configuration-options)
  2. reST files: Fixes explicit links to Markdown files.

    `Google Cloud Engine <gce.md>`__
  3. Markdown files: Fixes references to reST files.

    [Application examples](examples/readme.rst)
  4. Markdown files: Fixes links to files and directories within the GitHub repo.

    [Makefile](/Makefile)
    [deploy/kustomize](/deploy/kustomize)

    Links to files can be fixed in one of two ways, which can be set in the conf.py.

    baseBranch = "devel"
    useGitHubURL = True
    commitSHA = getenv('GITHUB_SHA')
    githubBaseURL = "https://github.com/intelkevinputnam/pmem-csi/"

    If useGitHubURL is set to True, it will try to create links based on your githubBaseURL and the SHA for the commit to the GitHub repo determined by the GitHub workflow on merge. If there is no SHA available, it will use the value of baseBranch.

    If useGitHubURL is set to False, it will copy the files to the HTML output directory and provide links to that location.

    NOTE: Links to files and directories should use absolute paths relative to the repo (see Makefile and deploy/kustomize above). This will work both for the Sphinx build and when viewing in the GitHub repo.

    Links to directories are always converted to links to the GitHub repository.

Deploying with GitHub actions

The publish workflow is run each time a commit is made to the branches references by that file and pushes the rendered HTML to the gh-pages branch. Other rules can be created for other branches.

NOTE: Create a secret called ACCESS_TOKEN in repo>settings>secrets with a token generated by a user with write privileges to enable the automated push to the gh-pages branch.