kubetest

A CLI for efficient use of Kubernetes Cluster resources for distributed processing of time-consuming task processing.

This tool is developed based on the following concept.

Distributed processing: divide time-consuming tasks based on certain rules, and efficient use of cluster resources by processing each task using different pods
One container per task: since the divided tasks are processed in different containers, they are less affected by the processing of different tasks.

Installation

$ go install github.com/goccy/kubetest/cmd/kubetest

How to use

Usage:
  kubetest [OPTIONS]

Application Options:
  -n, --namespace=  specify namespace (default: default)
      --in-cluster  specify whether in cluster
  -c, --config=     specify local kubeconfig path. ( default: $HOME/.kube/config )
      --list=       specify path to get the list for test
      --log-level=  specify log level (debug/info/warn/error)
      --dry-run     specify dry run mode
      --template=   specify template parameter for testjob file
  -o, --output=     specify output path of report

Help Options:
  -h, --help        Show this help message

1. Run simple task

First, We will introduce a sample that performs the simplest task processing.

Describe the manifest file of task processing as follows and execute it by passing it as an argument of kubetest CLI.

If you've already written a Kubernetes Job, you've probably noticed that the spec under the mainStep of simplest example is the same as using a Kubernetes Job :)

_examples/simple.yaml

apiVersion: kubetest.io/v1
kind: TestJob
metadata:
  name: simple-testjob
  namespace: default
spec:
  mainStep:
    template:
      metadata:
        generateName: simple-testjob-
      spec:
        containers:
          - name: test
            image: alpine
            workingDir: /go/src
            command:
              - echo
            args:
              - "hello"

Run CLI with manifest

kubetest --log-level=info _examples/simple.yaml

Output

The content consists of the following elements.

Command
Log of command
Elapsed time of running command
Summary of all tasks ( JSON format )

echo hello
hello

[INFO] elapsed time: 0.184144 sec.
{
  "details": [
    {
      "elapsedTimeSec": 0,
      "name": "test",
      "status": "success"
    }
  ],
  "elapsedTimeSec": 10,
  "failureNum": 0,
  "startedAt": "2021-10-05T07:36:07.893339674Z",
  "status": "success",
  "successNum": 1,
  "totalNum": 1
}

2. Run task with public repository

You'll want to use versioned data and code by git when processing tasks. In kubetest, you can write the repository definition in repos and specify it in volumes. The repository defined in volumes can be mounted in any container by using volumeMounts like emptyDir .

_examples/public-repo.yaml

apiVersion: kubetest.io/v1
kind: TestJob
metadata:
  name: public-repo-testjob
  namespace: default
spec:
  repos:
    - name: kubetest-repo
      value:
        url: https://github.com/goccy/kubetest.git
        branch: master
  mainStep:
    template:
      metadata:
        generateName: public-repo-testjob-
      spec:
        containers:
          - name: test
            image: alpine
            workingDir: /work
            command:
              - ls
            args:
              - README.md
            volumeMounts:
              - name: repo
                mountPath: /work
        volumes:
          - name: repo
            repo:
              name: kubetest-repo

Run CLI with manifest

kubetest --log-level=info _examples/public-repo.yaml

Output

[INFO] clone repository: https://github.com/goccy/kubetest.git
ls README.md
README.md

[INFO] elapsed time: 0.050960 sec.
{
  "details": [
    {
      "elapsedTimeSec": 0,
      "name": "test",
      "status": "success"
    }
  ],
  "elapsedTimeSec": 14,
  "failureNum": 0,
  "startedAt": "2021-10-05T07:41:51.54612701Z",
  "status": "success",
  "successNum": 1,
  "totalNum": 1
}

3. Run task with private repository

You can also use a private repository with kubetest. You can define GitHub personal token or token by GitHub App in tokens . GitHub persoanl token data or GitHub App key data are managed by Kubernetes Secrets. kubetest get token by referring to them. By describing the name of the token to be used in the definition of private repository in the form of token: github-app-token, the repository will be cloned using that token.

In addition, the token can be mounted on any path using volumeMounts by writing the following in volumes. By combining this with prestep, which will be described later, you can devise so that you do not need a token when processing the main task. This makes task processing more secure.

volumes:
- name: token-volume
  token:
    name: <defined token name>

_examples/private-repo.yaml

apiVersion: kubetest.io/v1
kind: TestJob
metadata:
  name: private-repo-testjob
  namespace: default
spec:
  tokens:
    - name: github-app-token
      value:
        githubApp:
          organization: goccy
          appId: 134426
          keyFile:
            name: github-app
            key: private-key
  repos:
    - name: kubetest-repo
      value:
        # specify the private repository url
        url: https://github.com/goccy/kubetest.git
        branch: master
        token: github-app-token
  mainStep:
    template:
      metadata:
        generateName: private-repo-testjob-
      spec:
        containers:
          - name: test
            image: alpine
            workingDir: /work
            command:
              - ls
            args:
              - README.md
            volumeMounts:
              - name: repo
                mountPath: /work
        volumes:
          - name: repo
            repo:
              name: kubetest-repo

Output

[INFO] clone repository: https://github.com/goccy/kubetest.git
ls README.md
README.md

[INFO] elapsed time: 0.055823 sec.
{
  "details": [
    {
      "elapsedTimeSec": 0,
      "name": "test",
      "status": "success"
    }
  ],
  "elapsedTimeSec": 14,
  "failureNum": 0,
  "startedAt": "2021-10-05T07:43:34.607701724Z",
  "status": "success",
  "successNum": 1,
  "totalNum": 1
}

4. Run task with prestep

If there is any pre-processing required before performing the main task processing, you can define it in preSteps and pass only the processing result to the subsequent tasks. By making effective use of this step, the pre-processing required for each distributed process can be limited to one time, and the resources of the cluster can be used efficiently. Since multiple preSteps can be defined and executed in order, the result of the previous step can be used to execute the next step.

The artifacts created by preStep can be reused in the subsequent task processing by describing the container name and path where the artifacts exists in artifacts spec.

If you want to use the already created artifacts, you can write the name of the defined artifact in volumes as follows. As with the repository, you can use volumeMounts to mount it on any path.

volumes:
- name: artifact-volume
  artifact:
    name: <defined artifact name>

_examples/prestep.yaml

apiVersion: kubetest.io/v1
kind: TestJob
metadata:
  name: prestep-testjob
  namespace: default
spec:
  repos:
    - name: kubetest-repo
      value:
        url: https://github.com/goccy/kubetest.git
        branch: master
  preSteps:
    - name: create-awesome-stuff
      template:
        metadata:
          generateName: create-awesome-stuff-
        spec:
          artifacts:
            - name: awesome-stuff
              container:
                name: create-awesome-stuff-container
                path: /work/awesome-stuff
          containers:
            - name: create-awesome-stuff-container
              image: alpine
              workingDir: /work
              command: ["sh", "-c"]
              args:
                - |
                  echo "AWESOME!!!" > awesome-stuff
              volumeMounts:
                - name: repo
                  mountPath: /work
          volumes:
            - name: repo
              repo:
                name: kubetest-repo
  mainStep:
    template:
      metadata:
        generateName: prestep-testjob-
      spec:
        containers:
          - name: test
            image: alpine
            workingDir: /work
            command:
              - cat
            args:
              - awesome-stuff
            volumeMounts:
              - name: repo
                mountPath: /work
              - name: prestep-artifact
                mountPath: /work/awesome-stuff
        volumes:
          - name: repo
            repo:
              name: kubetest-repo
          - name: prestep-artifact
            artifact:
              name: awesome-stuff

Output

[INFO] clone repository: https://github.com/goccy/kubetest.git
[INFO] run prestep: create-awesome-stuff
sh -c echo "AWESOME!!!" > awesome-stuff

[INFO] create-awesome-stuff: elapsed time: 0.062056 sec.
cat awesome-stuff
AWESOME!!!

[INFO] elapsed time: 0.053780 sec.
{
  "details": [
    {
      "elapsedTimeSec": 0,
      "name": "test",
      "status": "success"
    }
  ],
  "elapsedTimeSec": 24,
  "failureNum": 0,
  "startedAt": "2021-10-05T08:00:43.033808187Z",
  "status": "success",
  "successNum": 1,
  "totalNum": 1
}

5. Run distributed task with static keys

Describes the distributed processing, which is the main feature of kubetest. Distributed processing is realized by defining a distributed key and passing that value as an environment variable to different tasks. The distributed key can be determined statically or dynamically. In the following, we will explain using the static determination pattern.

_examples/strategy-static.yaml

apiVersion: kubetest.io/v1
kind: TestJob
metadata:
  name: strategy-static-testjob
  namespace: default
spec:
  mainStep:
    strategy:
      key:
        env: TASK_KEY
        source:
          static:
            - TASK_KEY_1
            - TASK_KEY_2
            - TASK_KEY_3
      scheduler:
        maxContainersPerPod: 10
        maxConcurrentNumPerPod: 10
    template:
      metadata:
        generateName: strategy-static-testjob-
      spec:
        containers:
          - name: test
            image: alpine
            workingDir: /work
            command:
              - echo
            args:
              - $TASK_KEY

Describe the definition of distributed execution under strategy as described above. key defines the name of the environment variable to be referenced as the distribution key and the value of the distribution key itself.

In this example, if you refer to the environment variable named TASK_KEY, you can get one of the values from TASK_KEY_1 to TASK_KEY_3. After that, define a command that uses the value of this environment variable in spec.template.spec.containers[].command.

In strategy.scheduler, define the resources such as Pod and Container used for distributed execution. In this example, maxContainersPerPod is 10, which means that up to 10 containers can be launched per Pod, and maxConcurrentNumPerPod is also 10, which means that 10 containers can process tasks at the same time per Pod. Since the number of distributed keys is 3, only one Pod will be launched, but if the number of distributed keys exceeds 10, two Pods will be launched and processed. Similarly, if you set the number of maxContainersPerPod to 1, only one container will be started per Pod, so three Pods will be started and processed.

Output

[INFO] found 3 static keys to start distributed task
[TASK_KEY:TASK_KEY_1] echo $TASK_KEY
TASK_KEY_1

[INFO] elapsed time: 0.194488 sec.
[INFO] 1/3 (33.333336%) finished.
[TASK_KEY:TASK_KEY_3] echo $TASK_KEY
TASK_KEY_3

[INFO] elapsed time: 0.194521 sec.
[INFO] 2/3 (66.666672%) finished.
[TASK_KEY:TASK_KEY_2] echo $TASK_KEY
TASK_KEY_2

[INFO] elapsed time: 0.304037 sec.
[INFO] 3/3 (100.000000%) finished.
{
  "details": [
    {
      "elapsedTimeSec": 0,
      "name": "TASK_KEY_1",
      "status": "success"
    },
    {
      "elapsedTimeSec": 0,
      "name": "TASK_KEY_3",
      "status": "success"
    },
    {
      "elapsedTimeSec": 0,
      "name": "TASK_KEY_2",
      "status": "success"
    }
  ],
  "elapsedTimeSec": 13,
  "failureNum": 0,
  "startedAt": "2021-10-05T08:23:11.568491828Z",
  "status": "success",
  "successNum": 3,
  "totalNum": 3
}

6. Run distributed task with dynamic keys

Use strategy.key.source.dynamic to create a distributed key dynamically. The distributed key is the output result of the command defined here divided by the line feed character. ( There is also a way of splitting and a method of filtering unnecessary output results )

_examples/strategy-dynamic.yaml

apiVersion: kubetest.io/v1
kind: TestJob
metadata:
  name: strategy-dynamic-testjob
  namespace: default
spec:
  mainStep:
    strategy:
      key:
        env: TASK_KEY
        source:
          dynamic:
            template:
              metadata:
                generateName: strategy-dynamic-keys-
              spec:
                containers:
                  - name: key
                    image: alpine
                    command: ["sh", "-c"]
                    args:
                      - |
                        echo -n "
                        TASK_KEY_1
                        TASK_KEY_2
                        TASK_KEY_3
                        TASK_KEY_4"
      scheduler:
        maxContainersPerPod: 10
        maxConcurrentNumPerPod: 10
    template:
      metadata:
        generateName: strategy-dynamic-testjob-
      spec:
        containers:
          - name: test
            image: alpine
            workingDir: /work
            command:
              - echo
            args:
              - $TASK_KEY

Output

sh -c echo -n "
TASK_KEY_1
TASK_KEY_2
TASK_KEY_3
TASK_KEY_4"


TASK_KEY_1
TASK_KEY_2
TASK_KEY_3
TASK_KEY_4
[INFO] elapsed time: 0.103151 sec.
[INFO] found 4 dynamic keys to start distributed task.
[TASK_KEY:TASK_KEY_2] echo $TASK_KEY
TASK_KEY_2

[INFO] elapsed time: 0.163853 sec.
[INFO] 1/4 (25.000000%) finished.
[TASK_KEY:TASK_KEY_3] echo $TASK_KEY
TASK_KEY_3

[INFO] elapsed time: 0.201432 sec.
[INFO] 2/4 (50.000000%) finished.
[TASK_KEY:TASK_KEY_4] echo $TASK_KEY
TASK_KEY_4

[INFO] elapsed time: 0.352685 sec.
[INFO] 3/4 (75.000000%) finished.
[TASK_KEY:TASK_KEY_1] echo $TASK_KEY
TASK_KEY_1

[INFO] elapsed time: 0.351710 sec.
[INFO] 4/4 (100.000000%) finished.
{
  "details": [
    {
      "elapsedTimeSec": 0,
      "name": "TASK_KEY_2",
      "status": "success"
    },
    {
      "elapsedTimeSec": 0,
      "name": "TASK_KEY_3",
      "status": "success"
    },
    {
      "elapsedTimeSec": 0,
      "name": "TASK_KEY_4",
      "status": "success"
    },
    {
      "elapsedTimeSec": 0,
      "name": "TASK_KEY_1",
      "status": "success"
    }
  ],
  "elapsedTimeSec": 21,
  "failureNum": 0,
  "startedAt": "2021-10-05T08:40:25.441356613Z",
  "status": "success",
  "successNum": 4,
  "totalNum": 4
}

7. Export Artifacts

If you want to get the artifacts of task processing, use exportArtifacts.

_examples/export-artifact.yaml

apiVersion: kubetest.io/v1
kind: TestJob
metadata:
  name: strategy-static-testjob
  namespace: default
spec:
  mainStep:
    strategy:
      key:
        env: TASK_KEY
        source:
          static:
            - TASK_KEY_1
            - TASK_KEY_2
            - TASK_KEY_3
      scheduler:
        maxContainersPerPod: 10
        maxConcurrentNumPerPod: 10
    template:
      metadata:
        generateName: strategy-static-testjob-
      spec:
        artifacts:
          - name: result
            container:
              name: test
              path: /work/result.txt
        containers:
          - name: test
            image: alpine
            workingDir: /work
            command:
              - touch
            args:
              - result.txt
  exportArtifacts:
    - name: result
      path: /tmp/artifacts

Output

[INFO] found 3 static keys to start distributed task
[TASK_KEY:TASK_KEY_2] touch result.txt
[INFO] elapsed time: 0.191768 sec.
[INFO] 1/3 (33.333336%) finished.
[TASK_KEY:TASK_KEY_3] touch result.txt
[INFO] elapsed time: 0.191810 sec.
[INFO] 2/3 (66.666672%) finished.
[TASK_KEY:TASK_KEY_1] touch result.txt
[INFO] elapsed time: 0.191841 sec.
[INFO] 3/3 (100.000000%) finished.
[INFO] export artifact result
{
  "details": [
    {
      "elapsedTimeSec": 0,
      "name": "TASK_KEY_2",
      "status": "success"
    },
    {
      "elapsedTimeSec": 0,
      "name": "TASK_KEY_3",
      "status": "success"
    },
    {
      "elapsedTimeSec": 0,
      "name": "TASK_KEY_1",
      "status": "success"
    }
  ],
  "elapsedTimeSec": 14,
  "failureNum": 0,
  "startedAt": "2021-10-05T09:12:18.296041274Z",
  "status": "success",
  "successNum": 3,
  "totalNum": 3
}

Path Rule

Artifacts are created under the directory <Container Name><Pod Index>-<Container Index> .

/tmp/artifacts
|-- test0-0
|   `-- result.txt
|-- test0-1
|   `-- result.txt
`-- test0-2
    `-- result.txt

Specification of TestJob

TestJob

field	type	description
spec	TestJobSpec	specification of TestJob

TestJobSpec

field	type	description
repos	[]RepositorySpec	Array of repository specifications
tokens	[]TokenSpec	Array of token specifications
preSteps	[]PreStep	Array of prestep specifications
exportArtifacts	[]ExportArtifact	Array of exportArtifact specifications
strategy	Strategy	strategy specification for distributed processing
log	LogSpec	log specification

RepositorySpec

field	type	description
name	string	specify the name to be used when referencing the repository in the TestJob spec. This name must be unique within the TestJob spec.
value	Repository

Repository

field	type	description
url	string	url to the repository like `https://github.com/goccy/kubetest.git`
branch	string	branch name
rev	string	revision
token	string	token name. This must match the name of a Token
merge	MergeSpec	specify base branch name to merge before task processing

MergeSpec

field	type	description
base	string	base branch name

TokenSpec

field	type	description
name	string
value	TokenSource

TokenSource

field	type	description
githubApp	GitHubAppTokenSource
githubToken	SecretKeySelector

GitHubAppTokenSource

field	type	description
organization	string
appId	number
installationId	number
keyFile	SecretKeySelector

SecretKeySelector

field	type	description
name	string	secret name to the secret data
key	string	key name to the secret data

PreStep

field	type	description
name	string	name of prestep
template	TestJobTemplateSpec	template specification of prestep

TestJobTemplateSpec

field	type	description
metadata	ObjectMeta	the metadata
main	string	The main container name ( not sidecar container ). If used multiple containers, this parameter must be specified
spec	TestJobPodSpec	specification of the desired behavior of the Pod for TestJob

TestJobPodSpec

field	type	description
volumes	[]TestJobVolume
artifacts	[]ArtifactSpec

And all PodSpec fields.

ArtifactSpec

field	type	description
name	string
container	ArtifactContainer

ArtifactContainer

field	type	description
name	string	The name for the container
path	string	The path to the artifact

TestJobVolume

field	type	description
name	string
repo	RepositoryVolumeSource
artifact	ArtifactVolumeSource
token	TokenVolumeSource

And default volume types ( See: https://kubernetes.io/docs/concepts/storage/volumes/#volume-types )

RepositoryVolumeSource

field	type	description
name	string

ArtifactVolumeSource

field	type	description
name	string

TokenVolumeSource

field	type	description
name	string

ExportArtifact

field	type	description
name	string
path	string

LogSpec

field	type	description
extParam	Object	key/value pairs to add the result log

Strategy

field	type	description
key	StrategyKeySpec
scheduler	Scheduler
retest	boolean

StrategyKeySpec

field	type	description
env	string
source	StrategyKeySource

StrategyKeySource

field	type	description
static	[]string	Array of distributed key names
dynamic	StrategyDynamicKeySource

StrategyDynamicKeySource

field	type	description
template	TestJobTemplateSpec
delimiter	string	Delimiter for strategy keys ( default: new line character (`\n`) )
filter	string	filter got strategy keys ( use regular expression )

Scheduler

field	type	description
maxContainersPerPod	number
maxConcurrentNumPerPod	number

Requirements

The ServiceAccount settings that need to be assigned to Pod that use the kubetest CLI is as follows.

kind: ServiceAccount
apiVersion: v1
metadata:
  name: kubetest
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: kubetest
rules:
  - apiGroups:
      - batch
    resources:
      - jobs
    verbs:
      - create
      - delete
  - apiGroups:
      - ""
    resources:
      - pods
    verbs:
      - get
      - list
      - watch
      - delete
  - apiGroups:
      - ""
    resources:
      - pods/log
    verbs:
      - get
      - watch
  - apiGroups:
      - ""
    resources:
      - pods/exec
    verbs:
      - create
  - apiGroups:
      - ""
    resources:
      - secrets
    verbs:
      - get
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: kubetest
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: kubetest
subjects:
- kind: ServiceAccount
  name: kubetest
---

How it works

Coming soon...

License

MIT

kazegusuri/kubetest

kubetest

Installation

How to use

1. Run simple task

Run CLI with manifest

Output

2. Run task with public repository

Run CLI with manifest

Output

3. Run task with private repository

Output

4. Run task with prestep

Output

5. Run distributed task with static keys

Output

6. Run distributed task with dynamic keys

Output

7. Export Artifacts

Output

Path Rule

Specification of TestJob

TestJob

TestJobSpec

RepositorySpec

Repository

MergeSpec

TokenSpec

TokenSource

GitHubAppTokenSource

SecretKeySelector

PreStep

TestJobTemplateSpec

TestJobPodSpec

ArtifactSpec

ArtifactContainer

TestJobVolume

RepositoryVolumeSource

ArtifactVolumeSource

TokenVolumeSource

ExportArtifact

LogSpec

Strategy

StrategyKeySpec

StrategyKeySource

StrategyDynamicKeySource

Scheduler

Requirements

How it works

License