通过调整 pipeline 循序渐进的提高过程效率,并适应多场景。
与之前在openshift使用jenkins 做pipeline 时候的思路是一致的,通过配置私服地址和缓存编译文件到持久化存储,以提高编译效率。
调整前后,pipeline运行用时分别为 14min -> 9min -> 4min
demo 场景介绍
使用到的pipeline 和自定义 task 存在github
https://github.com/cai11745/ocp4-userguide/tree/master/attachment/pipeline
pipeline #1: s2i-build-and-deploy.yaml
openshift自带demo,pipeline一共三步,使用到了三个 clustertask: git-clone,s2i-java-8,openshift-client
pipeline #2: s2i-build-and-deploy-mvn-mirror.yaml
在上一个基础上增加了MAVEN_MIRROR_URL参数,可以使用从内网拉取编译所需文件,如 nexus
pipeline #3: mvn-cache-and-deploy.yaml
pipeline 一共4步,第一步拉取代码。
第二步编译,使用自定义task mvn-repo-task.yaml,并到了新的workspace: maven-cache 并做持久化,用于缓存编译所需依赖。
第三步 通过Dockerfile build image and push,使用 clustertask: buildah,Dockerfile 默认路径是git 根目录下,推送到openshift内置仓库,使用的 serviceaccount 叫 pipeline,每个project下面已经有了,具备push image 权限,若是外部仓库,需要另做权限处理。
第四步 通过 deployment/service/route yaml 发布应用,yaml 文件放在 git repo 的 k8s目录,通过 environments/dev/kustomization.yaml 指定yaml路径,每次执行 pipeline 会更新 deployment 的镜像。使用到了自定义task deploy-app-task.yaml
pipeline #4: mvn-cache-build-cache-and-deploy
这一步的初衷是想把镜像文件持久化,不需要每次拉取基础镜像。不过没有达到预期效果,要5分钟,比pipeline#3 还多了一分钟。
待再调整,调整 storage driver 或者使用 node 节点镜像文件数据。
使用的java应用源码
https://github.com/cai11745/spring-petclinic.git
在官方基础增加了 Dockerfile,k8s目录(deployment/service/route yaml),environments目录。这些内容在pipeline #3才会用到。
整个demo过程需要使用到私有git库(在线的也行,可能拉取会慢一些),私有nexus(必备)
并准备几个网络存储用于缓存数据,nfs或其他都可。(必备)
pipeline #1 s2i-build-and-deploy
所有 yaml 以github 最新为准。
1-s2i-build-and-deploy.yaml
1-pipelinerun-s2i-build-and-deploy.yaml
[root@bastion pipeline]# oc create -f 1-s2i-build-and-deploy.yaml
[root@bastion pipeline]# oc create -f 1-pipelinerun-s2i-build-and-deploy.yaml
pipelinerun-xx.yaml 内置了默认参数,可以通过oc create -f 1-pipelinerun-xx.yaml 快速生成pipelinerun,不需要通过页面去 start pipeline
pipelinerun-xx.yaml 需要用 oc create -f 命令创建,不能用 apply -f ,generateName: s2i-build-and-deploy- 最后会加一串随机数作为新的pipelinerun 的名称
这个pipeline 比较简单,通过拉取源代码,然后s2i 制作镜像,最后 oc new-app --docker-image 命令发布应用,这个pipelinerun 反复执行应该会报错,应用最后创建应用时候会同名,需要修改下 pipelinerun,IMAGE_NAME 参数里 image-registry.openshift-image-registry.svc:5000/demo/s2i-java:v1 , s2i-java 是应用名称,重复执行需要不一样。
在 pipeline #3 开始将不存在这个问题,主要是调整下 deploy 这一步的逻辑。
pipelinerun-1-s2i-build-and-deploy.png[root@bastion pipeline]# cat 1-s2i-build-and-deploy.yaml
apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
name: s2i-build-and-deploy
spec:
params:
- name: IMAGE_NAME
type: string
default: image-registry.openshift-image-registry.svc:5000/PROJECT/APP_NAME:TAG
description: The application image to build. Need to replace the PROJECT,APP_NAME,TAG.
- name: GIT_REPO
type: string
description: The application git repository
- name: GIT_REVISION
type: string
default: master
description: The application git revision
workspaces:
- name: workspace
tasks:
- name: fetch-repository
taskRef:
name: git-clone
kind: ClusterTask
workspaces:
- name: output
workspace: workspace
params:
- name: url
value: $(params.GIT_REPO)
- name: revision
value: $(params.GIT_REVISION)
- name: subdirectory
value: ""
- name: deleteExisting
value: "true"
- name: build
taskRef:
name: s2i-java-8
kind: ClusterTask
runAfter:
- fetch-repository
workspaces:
- name: source
workspace: workspace
params:
- name: IMAGE
value: $(params.IMAGE_NAME)
- name: TLSVERIFY
value: "false"
- name: deploy
taskRef:
name: openshift-client
kind: ClusterTask
runAfter:
- build
params:
- name: ARGS
value:
- "new-app"
- "--docker-image"
- "$(params.IMAGE_NAME)"
[root@bastion pipeline]# cat 1-pipelinerun-s2i-build-and-deploy.yaml
apiVersion: tekton.dev/v1beta1
kind: PipelineRun
metadata:
generateName: s2i-build-and-deploy-
spec:
params:
- name: IMAGE_NAME
value: image-registry.openshift-image-registry.svc:5000/demo/s2i-java:v1
- name: GIT_REPO
value: http://gogs-demo-cicd.apps.ocp4.example.com/gogs/spring-petclinic.git
- name: GIT_REVISION
value: master
pipelineRef:
name: s2i-build-and-deploy
serviceAccountName: pipeline
workspaces:
- name: workspace
persistentVolumeClaim:
claimName: petclinic-dev-workspace
pipeline #2 s2i-build-and-deploy-mvn-mirror
2-s2i-build-and-deploy-mvn-mirror.yaml
2-pipelinerun-s2i-build-and-deploy-mvn-mirror.yaml
与 pipeline#1 的区别就是在build 这一步,把 MAVEN_MIRROR_URL 参数添加到了pipeline中,这个参数 s2i-java-8 clustertask 原本就是支持的。每次从私服拉取编译所需jar,并且私服会缓存文件,不需要每次从互联网获取。
pipelinerun-2-s2i-build-and-deploy-mvn-mirror.png[root@bastion pipeline]# cat 2-s2i-build-and-deploy-mvn-mirror.yaml
apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
name: s2i-build-and-deploy-mvn-mirror
spec:
...
- name: MAVEN_MIRROR_URL
type: string
default: ""
description: The base URL of a mirror used for retrieving artifacts. e.g. http://nexus_addr/repository/maven-public
workspaces:
- name: workspace
tasks:
- name: fetch-repository
...
- name: build
taskRef:
name: s2i-java-8
kind: ClusterTask
runAfter:
- fetch-repository
workspaces:
- name: source
workspace: workspace
params:
- name: IMAGE
value: $(params.IMAGE_NAME)
- name: TLSVERIFY
value: "false"
- name: PATH_CONTEXT
value: spring-petclinic
- name: MAVEN_MIRROR_URL
value: $(params.MAVEN_MIRROR_URL)
- name: deploy
...
[root@bastion pipeline]# cat 2-pipelinerun-s2i-build-and-deploy-mvn-mirror.yaml
apiVersion: tekton.dev/v1beta1
kind: PipelineRun
metadata:
generateName: s2i-build-and-deploy-mvn-mirror-
spec:
params:
- name: IMAGE_NAME
value: image-registry.openshift-image-registry.svc:5000/demo/java-mvn-cache:v1
- name: GIT_REPO
value: http://gogs-demo-cicd.apps.ocp4.example.com/gogs/spring-petclinic.git
- name: GIT_REVISION
value: master
- name: MAVEN_MIRROR_URL
value: http://nexus-demo-cicd.apps.ocp4.example.com/repository/maven-public/
pipelineRef:
name: s2i-build-and-deploy-mvn-mirror
workspaces:
- name: workspace
persistentVolumeClaim:
claimName: petclinic-dev-workspace
pipeline #3 mvn-cache-and-deploy
mvn-repo-task.yaml
deploy-app-task.yaml
3-mvn-cache-and-deploy.yaml
3-pipelinerun-mvn-cache-and-deploy.yaml
使用到了两个自定义task。
mvn-repo-task.yaml 相较 clustertask maven增加了一个workspace,并调整了maven参数 args, 增加了 Dmaven.repo.local=$(workspaces.mvn-repo.path)/.m2 用户将编译文件缓存到workspace
[root@bastion pipeline]# cat mvn-repo-task.yaml
apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
annotations:
tekton.dev/pipelines.minVersion: 0.12.1
tekton.dev/tags: build-tool
name: maven-repo
labels:
app.kubernetes.io/version: '0.1'
operator.tekton.dev/provider-type: community
spec:
description: This Task can be used to run a Maven build, and '/root/.m2' repository data will be stored to the Workspace.
params:
- default: registry.example.com:5000/cloud-builders/mvn:3.5.0-jdk-8
description: Maven base image
name: MAVEN_IMAGE
type: string
- default:
- package
description: maven goals to run
name: GOALS
type: array
- default: ''
description: The Maven repository mirror url
name: MAVEN_MIRROR_URL
type: string
...
workspaces:
- description: The workspace consisting of maven project.
name: source
- description: The workspace consisting of the custom maven settings provided by the user.
name: maven-settings
- description: The workspace to store local maven repositories.
name: mvn-repo
steps:
- image: 'registry.example.com:5000/ubi8/ubi-minimal:8.2'
name: mvn-settings
resources: {}
script: >
...
- args:
- -Dmaven.repo.local=$(workspaces.mvn-repo.path)/.m2
- '-s'
- $(workspaces.maven-settings.path)/settings.xml
- $(params.GOALS)
command:
- /usr/bin/mvn
image: $(params.MAVEN_IMAGE)
name: mvn-goals
resources: {}
workingDir: $(workspaces.source.path)
deploy-app-task.yaml
先生成一个 kustomization.yaml,替换 k8s 目录下的 deployment.yaml route.yaml service.yaml 相关参数,如镜像,并将yaml导入openshift
[root@bastion pipeline]# cat deploy-app-task.yaml
apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
name: deploy-app
spec:
params:
- name: DEPLOYMENT_NAME
description: The name of deployment
type: string
- name: CURRENT_IMAGE
description: The current image repo/image:tag in the manifests for the deployment
type: string
- name: NEW_IMAGE_NAME
description: The new image repo/image to be deployed
type: string
- name: NEW_IMAGE_TAG
description: The new image tag to be deployed
type: string
default: ""
- name: NEW_IMAGE_DIGEST
description: The digest of the new image to get deployed
type: string
default: ""
- name: NAMESPACE
description: The namespace for the deployment
type: string
- name: KUSTOMIZE_OVERLAY_DIR
description: The subdirectory in configs git repo for the kustomize overlay to be applied
workspaces:
- description: The workspace consisting of maven project.
name: source
steps:
- name: apply-manifests
workingDir: $(workspaces.source.path)
image: image-registry.openshift-image-registry.svc:5000/openshift/cli
script: |
find $(workspaces.source.path)
cat >> $(workspaces.source.path)/$(params.KUSTOMIZE_OVERLAY_DIR)/kustomization.yaml <<- EOF
images:
- name: quay.io/siamaksade/spring-petclinic:latest
newName: $(params.NEW_IMAGE_NAME)
newTag: $(params.NEW_IMAGE_TAG)
digest: $(params.NEW_IMAGE_DIGEST)
EOF
[[ "x$(params.NEW_IMAGE_DIGEST)" == "x" ]] && sed -i "/digest/d" $(workspaces.source.path)/$(params.KUSTOMIZE_OVERLAY_DIR)/kustomization.yaml
[[ "x$(params.NEW_IMAGE_TAG)" == "x" ]] && sed -i "/newTag/d" $(workspaces.source.path)/$(params.KUSTOMIZE_OVERLAY_DIR)/kustomization.yaml
echo "########################"
echo "## kustomization.yaml ##"
echo "########################"
cat $(workspaces.source.path)/$(params.KUSTOMIZE_OVERLAY_DIR)/kustomization.yaml
echo "######## DRY RUN #######"
oc apply -k $(params.KUSTOMIZE_OVERLAY_DIR) --dry-run=client -o yaml -n $(params.NAMESPACE)
echo "########################"
oc apply -k $(params.KUSTOMIZE_OVERLAY_DIR) -n $(params.NAMESPACE)
oc rollout status deploy/$(params.DEPLOYMENT_NAME) -n $(params.NAMESPACE)
导入 task, pipeline,并执行 pipelinerun
第一次run的时候,缓存jar 到网络存储,可能最终时长会比 pipeline#2 还久,再次run 就会体会到使用本地缓存的效率。
[root@bastion pipeline]# oc create -f mvn-repo-task.yaml
[root@bastion pipeline]# oc create -f deploy-app-task.yaml
[root@bastion pipeline]# oc create -f 3-mvn-cache-and-deploy.yaml
[root@bastion pipeline]# oc create -f 3-pipelinerun-mvn-cache-and-deploy.yaml
[root@bastion pipeline]# cat 3-mvn-cache-and-deploy.yaml
apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
name: mvn-cache-and-deploy
spec:
params:
- name: NAMESPACE
description: The namespace for the deployment
type: string
- name: APP_IMAGE
type: string
default: image-registry.openshift-image-registry.svc:5000/demo/spring-petclinic
description: The application image to build
- name: APP_IMAGE_TAG
type: string
default: v1
description: The application image tag to build
- name: GIT_REPO
type: string
description: The application git repository
default: http://gogs-demo-cicd.apps.ocp4.example.com/gogs/spring-petclinic.git
- name: pathToContext
description: The path to the build context, used by Kaniko - within the workspace
default: ./
- name: GIT_REVISION
type: string
default: master
description: The application git revision
- name: MAVEN_MIRROR_URL
type: string
default: http://nexus-demo-cicd.apps.ocp4.example.com/repository/maven-public/
description: The base URL of a mirror used for retrieving artifacts. e.g. http://nexus_addr/repository/maven-public
workspaces:
- name: source-cache
- name: maven-settings
- name: maven-cache
tasks:
- name: fetch-repository
taskRef:
name: git-clone
kind: ClusterTask
workspaces:
- name: output
workspace: source-cache
params:
- name: url
value: $(params.GIT_REPO)
- name: revision
value: $(params.GIT_REVISION)
- name: deleteExisting
value: "true"
- name: mvn-package
taskRef:
name: maven-repo
runAfter:
- fetch-repository
workspaces:
- name: source
workspace: source-cache
- name: mvn-repo
workspace: maven-cache
- name: maven-settings
workspace: maven-settings
params:
- name: MAVEN_MIRROR_URL
value: $(params.MAVEN_MIRROR_URL)
- name: MAVEN_IMAGE
value: registry.cn-hangzhou.aliyuncs.com/laocai/mvn:3.5.0-jdk-8
- name: GOALS
value:
- package
- -DskipTests=true
- name: build-image
taskRef:
name: buildah
kind: ClusterTask
runAfter:
- mvn-package
workspaces:
- name: source
workspace: source-cache
params:
- name: IMAGE
value: $(params.APP_IMAGE):$(params.APP_IMAGE_TAG)
- name: BUILDER_IMAGE
value: registry.example.com:5000/rhel8/buildah:v1
- name: deploy-dev
taskRef:
name: deploy-app
runAfter:
- build-image
params:
- name: DEPLOYMENT_NAME
value: spring-petclinic
- name: CURRENT_IMAGE
value: "quay.io/siamaksade/spring-petclinic:latest"
- name: NEW_IMAGE_NAME
value: $(params.APP_IMAGE)
- name: NEW_IMAGE_TAG
value: $(params.APP_IMAGE_TAG)
- name: NAMESPACE
value: $(params.NAMESPACE)
- name: KUSTOMIZE_OVERLAY_DIR
value: environments/dev
workspaces:
- name: source
workspace: source-cache
pipelinerun
[root@bastion pipeline]# cat 3-pipelinerun-mvn-cache-and-deploy.yaml
apiVersion: tekton.dev/v1beta1
kind: PipelineRun
metadata:
generateName: mvn-cache-and-deploy-
spec:
params:
- name: NAMESPACE
value: demo
pipelineRef:
name: mvn-cache-and-deploy
workspaces:
- name: source-cache
persistentVolumeClaim:
claimName: petclinic-dev-workspace
- name: maven-settings
emptyDir: {}
- name: maven-cache
persistentVolumeClaim:
claimName: m2-cache
pipeline #4 mvn-cache-build-cache-and-deploy
buildah-cache-task.yaml
4-mvn-cache-build-cache-and-deploy.yaml
4-pipelinerun-mvn-cache-build-cache-and-deploy.yaml
这是一个没有达到预期效果的pipeline,因为比上一个pipeline 用时反而更长了。
与上一个pipeline 的区别是第三步 build-image, 我根据 clustertask buildah 修改了一个新的task,文件是buildah-cache-task.yaml
在 volumes varlibcontainers 这边使用了pvc,原来是 emptyDir
[root@bastion pipeline]# cat buildah-cache-task.yaml
apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
name: buildah-cache
...
spec:
params:
- default: vfs
description: Set buildah storage driver
name: STORAGE_DRIVER
type: string
...
steps:
- image: $(params.BUILDER_IMAGE)
name: build
resources: {}
script: |
buildah --storage-driver=$(params.STORAGE_DRIVER) bud \
$(params.BUILD_EXTRA_ARGS) --format=$(params.FORMAT) \
--tls-verify=$(params.TLSVERIFY) --no-cache \
-f $(params.DOCKERFILE) -t $(params.IMAGE) $(params.CONTEXT)
volumeMounts:
- mountPath: /var/lib/containers
name: varlibcontainers
workingDir: $(workspaces.source.path)
- image: $(params.BUILDER_IMAGE)
name: push
resources: {}
script: |
buildah --storage-driver=$(params.STORAGE_DRIVER) push \
$(params.PUSH_EXTRA_ARGS) --tls-verify=$(params.TLSVERIFY) \
--digestfile $(workspaces.source.path)/image-digest $(params.IMAGE) \
docker://$(params.IMAGE)
volumeMounts:
- mountPath: /var/lib/containers
name: varlibcontainers
workingDir: $(workspaces.source.path)
...
volumes:
- name: varlibcontainers
persistentVolumeClaim:
claimName: var-lib-containers
workspaces:
- name: source
pipelinerun-4-mvn-cache-build-cache-and-deploy.png
一些可能的原因和后续改进方向:
- 调整 storage-driver,默认是 vfs 方式,一个镜像占用了 1.5G,制作镜像时候占用2.1G。而 java:8 基础镜像530M, jar 48M
当前试过 overlay,overlay2,在保存镜像文件时候报错。
+ buildah --storage-driver=overlay bud --format=oci --tls-verify=true --no-cache -f ./Dockerfile -t image-registry.openshift-image-registry.svc:5000/demo-cicd/spring-petclinic:v1 .
level=error msg="'overlay' is not supported over nfs at \"/var/lib/containers/storage/overlay\""
kernel does not support overlay fs: 'overlay' is not supported over nfs at "/var/lib/containers/storage/overlay": backing file system is unsupported for this graph driver
level=error msg="exit status 125"
查了一下vfs 的介绍,docker里运行docker,是一个典型的使用场景
VFS存储驱动程序不是联合文件系统;相反,每个图层都是磁盘上的目录,并且没有写时复制支持。要创建一个新图层,先前的图层会进行“深层复制”。与其他存储驱动程序相比,这会导致磁盘性能下降和磁盘使用空间更多。但是,它强大,稳定,适用于各种环境。它也可以用作在测试环境中验证其他存储后端的机制。
但并不建议在实际或者生产环境使用,但是对于需要进行简单验证的场景,或者需要测试Docker引擎的其他部件的场景,是很有价值的。对于在Docker中运行Docker的场景也很有用。
-
build 一步,buildah 原来有个 no-cache 参数,我去掉之后,并没有效果。
-
使用 node 节点镜像数据文件,还没想好怎么做。这样的话,最好将执行 pipeline 的project 固定在几个node上。
一些注意事项
-
以上每个pipeline 共用了一个存储,且都是直接使用的根目录。且每个pipeline 初始化时候都会清空目录,所以共用存储情况下,要避免同时执行。
还有一个办法,就是使用子目录,比如 git-clone 这个task,通过配置 subdirectory 参数可以使用 workspace 下的子目录,就避免了多个流水线共用一个根目录的情况。 -
使用到的镜像,用于执行任务的在 clustertask 或者pipeline 中可以指定,init container 需要在 csv 中修改
[root@bastion ~]# oc -n openshift-operators get clusterserviceversions
NAME DISPLAY VERSION REPLACES PHASE
redhat-openshift-pipelines.v1.4.0 Red Hat OpenShift Pipelines 1.4.0 redhat-openshift-pipelines.v1.3.1 Succeeded
# 修改 csv 中对应环境变量,然后查看 openshift-pipelines-operator pod 是否更新变量
[root@bastion ~]# oc -n openshift-operators edit clusterserviceversions redhat-openshift-pipelines.v1.4.0
参照这篇文章最后
https://github.com/cai11745/ocp4-userguide/blob/master/DevOps/openshift-pipeline-Tekton-install.md
- pipelinerun 默认使用的 serviceaccount 叫 pipeline,如果把镜像推到到其他project并发布,需要oc adm policy 授权。
FAQ
pipeline #4 使用nfs 存储缓存镜像文件报错
因为容器运行用户为 root,nfs server端存储权限配置为 /nfs/storageclass *(rw,sync,all_squash)
即所有用户使用nfs存储时候,用户都会被限制为 nfsnobody,导致容器使用时候 chown 失败
解决方法:把nfs server 权限改为 /nfs/storageclass *(rw,sync,no_root_squash)
即root 使用不限制,其他用户使用还是会被限制为 nfsnobody
重新创建pvc即可
STEP-BUILD
+ buildah --storage-driver=vfs bud --format=oci --tls-verify=true --no-cache -f ./Dockerfile -t image-registry.openshift-image-registry.svc:5000/demo/spring-petclinic:v1 .
chown /var/lib/containers/storage/vfs: operation not permitted
level=error msg="exit status 125"
sh-4.4# id
uid=0(root) gid=0(root) groups=0(root),1000670000
[root@bastion storageclass]# ls demo-cicd-var-lib-containers-pvc-16b94c24-cace-45a8-be7a-285439fea406/storage/ -l
total 0
drwx------ 2 nfsnobody nfsnobody 6 May 7 23:18 mounts
-rw-r--r-- 1 nfsnobody nfsnobody 0 May 7 23:18 storage.lock
drwx------ 2 nfsnobody nfsnobody 6 May 7 23:18 tmp
-rw-r--r-- 1 nfsnobody nfsnobody 0 May 7 23:18 userns.lock
drwx------ 2 nfsnobody nfsnobody 6 May 7 23:18 vfs
参考链接
https://ibm-developer.gitbook.io/cloudpakforapplications-appmod/ci-cd/tekton-tutorial-openshift
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