Github actions 使用 maven 构建 jar 并用于 docker 图像构建

Question

我希望 git 推送应该触发 mvn clean package 并使用构建 jar 构建 docker 图像。可悲的是，我在构建图像时遇到以下错误

Step 2/4 : ADD target/de-sy-file.jar de-sy-file.jar
ADD failed: stat /var/lib/docker/tmp/docker-builder601875986/target/de-sy-file.jar: no such file or directory
##[error]Process completed with exit code 1.

有人能告诉我在哪里可以找到构建的 jar 吗？

Action.yml

on:
  push:
    branches:
      - master

name: Push to Amazon ECR

jobs:
  build:

    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v1
    - name: Set up JDK 1.8
      uses: actions/setup-java@v1
      with:
        java-version: 1.8
    - name: Build with Maven
      run:
        mvn clean package --file pom.xml

  deploy:
    name: Deploy
    needs: [build]
    runs-on: ubuntu-latest

    steps:
    - name: Checkout
      uses: actions/checkout@v1

    - name: Configure AWS credentials
      uses: aws-actions/configure-aws-credentials@v1
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: eu-central-1

    - name: Login to Amazon ECR
      id: login-ecr
      uses: aws-actions/amazon-ecr-login@v1

    - name: Build, tag, and push image to Amazon ECR
      id: build-image
      env:
        ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
        ECR_REPOSITORY: de-sy-file
        IMAGE_TAG:  latest
      run: |
        # Build a docker container and
        # push it to ECR so that it can
        # be deployed to ECS.
        docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
        docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
        echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"

Answer 1

我找到了下载和上传工件的解决方案。

我的新 action.yml :

# This workflow will build and push a new container image to Amazon ECR,
# and then will deploy a new task definition to Amazon ECS, on every push
# to the master branch.
#
# To use this workflow, you will need to complete the following set-up steps:
#
# 1. Create an ECR repository to store your images.
#    For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
#    Replace the value of `ECR_REPOSITORY` in the workflow below with your repository's name.
#    Replace the value of `aws-region` in the workflow below with your repository's region.
#
# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
#    For example, follow the Getting Started guide on the ECS console:
#      https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
#    Replace the values for `service` and `cluster` in the workflow below with your service and cluster names.
#
# 3. Store your ECS task definition as a JSON file in your repository.
#    The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
#    Replace the value of `task-definition` in the workflow below with your JSON file's name.
#    Replace the value of `container-name` in the workflow below with the name of the container
#    in the `containerDefinitions` section of the task definition.
#
# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
#    See the documentation for each action used below for the recommended IAM policies for this IAM user,
#    and best practices on handling the access key credentials.

on:
  push:
    branches:
      - master

name: Push to Amazon ECR

jobs:
  build:

    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v1
    - name: Set up JDK 1.8
      uses: actions/setup-java@v1
      with:
        java-version: 1.8
    - name: Build with Maven
      run:
        mvn clean package --file pom.xml

    - uses: actions/checkout@v1

    - run: mkdir -p target/

    - run: echo hello > target/de-sy-file.jar

    - uses: actions/upload-artifact@v1
      with:
       name: de-sy-file
       path: target/

  deploy:
    name: Deploy
    needs: [build]
    runs-on: ubuntu-latest

    steps:
    - name: Checkout
      uses: actions/checkout@v1


    - uses: actions/checkout@v1

    - uses: actions/download-artifact@v1
      with:
          name: de-sy-file
          path: target/

    - run: cat target/de-sy-file.jar
    - name: Configure AWS credentials
      uses: aws-actions/configure-aws-credentials@v1
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: eu-central-1

    - name: Login to Amazon ECR
      id: login-ecr
      uses: aws-actions/amazon-ecr-login@v1

    - name: Build, tag, and push image to Amazon ECR
      id: build-image
      env:
        ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
        ECR_REPOSITORY: de-sy-file
        IMAGE_TAG:  latest
      run: |
        # Build a docker container and
        # push it to ECR so that it can
        # be deployed to ECS.
        docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
        docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
        echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"

https://github.com/actions/download-artifact

Answer 2

我将解释一个复杂但可能不理想的解决方案。

假设我有一个 multi-module Maven 项目，看起来像这样

│
├── cluster
│   ├── Dockerfile
│   ├── pom.xml
│   ├── src
│   └── target
│
├── common
│   ├── pom.xml
│   ├── src
│   └── target
│
├── loadbalancer
│   ├── Dockerfile
│   ├── pom.xml
│   ├── src
│   └── target
│
└── pom.xml

此 Maven 项目生成两个 JAR 应用程序，一个 loadbalancer 应用程序和一个 cluster 应用程序。我想要做的是为这两个 JAR 应用程序创建两个不同的图像。

在设置我的 GitHub 操作之前，我要做的是运行

mvn clean install
docker build -t myimage/loadbalancer:latest ./loadbalancer
docker build -t myimage/cluster_node:latest ./cluster

第一个命令将在 loadbalancer/target/ 和 cluster/target/ 中生成我的 JAR，然后我将通过构建这两个 Dockerfiles

FROM fabric8/java-alpine-openjdk11-jre
WORKDIR /usr/src/app
COPY target/cluster.jar ./cluster.jar
EXPOSE 8080
ENTRYPOINT ["java", "-jar", "cluster.jar"]

FROM fabric8/java-alpine-openjdk11-jre
WORKDIR /usr/src/app
COPY target/loadbalancer.jar ./loadbalancer.jar
EXPOSE 8080
ENTRYPOINT ["java", "-jar", "loadbalancer.jar"]

这就是您在本地计算机上所需的全部内容。

最好的部分是您可以使用 GitHub Actions 做到这一点（但可能有更好的 dockerizing Maven 项目的方法），这里是 GitHub 动作表示：

测试和构建 loadbalancer.jar 和 cluster.jar
使用新生成的 .jars
构建两个 Docker 图像
用两个不同的标签标记每个图像：

一个。 latest

b。触发此操作的提交的 8 位数字
将它们推送到新发布的 GitHub Container Registry

name: Maven test & Docker build-push

on:
  push:
    branches: [ development ]

jobs:
  build:
    
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v2

    - name: Set SHA8
      run: echo ::set-env name=SHA8::$(git log --oneline -1 | awk '{print }')

    - name: Test SHA8
      run: echo $SHA8

    - name: Set up JDK 11
      uses: actions/setup-java@v1.4.2
      with:
        java-version: '11.0.8'

    - name: Build with Maven
      run: mvn clean install

    - name: Login to GitHub Registry Container
      uses: docker/login-action@v1
      with:
        registry: ghcr.io
        username: ${{ github.repository_owner }}
        password: ${{ secrets.CR_PAT }}

    - name: Create docker loadbalancer image
      run: docker build -t ghcr.io/myimage/loadbalancer:latest -t ghcr.io/myimage/loadbalancer:$SHA8 ./loadbalancer

    - name: Create docker cluster_node image
      run: docker build -t ghcr.io/myimage/cluster_node:latest -t ghcr.io/myimage/cluster_node:$SHA8 ./cluster

    - name: Push docker images
      run: |
        docker push ghcr.io/myimage/loadbalancer:latest
        docker push ghcr.io/myimage/loadbalancer:$SHA8
        docker push ghcr.io/myimage/cluster_node:latest
        docker push ghcr.io/myimage/cluster_node:$SHA8

Answer 3

工件应该已经存储在临时工作区中，因此您不必 upload/download。

#Author: Ben Francom
name: Build

#on: workflow_dispatch
on:
    push:
        branches:
            - "main"

jobs:
    build:
        name: Package & Deploy
        runs-on: ubuntu-latest
        timeout-minutes: 25
        steps:
            - name: Cancel Previous Runs
              uses: styfle/cancel-workflow-action@0.6.0
              with:
                  access_token: ${{ github.token }}

            - uses: actions/checkout@v2
            - name: Set up JDK 8
              uses: actions/setup-java@v1
              with:
                  java-version: 8

            - name: Cache local Maven repository
              uses: actions/cache@v2
              with:
                  path: ~/.m2
                  key: ${{ runner.os }}-maven-${{ hashFiles('**/pom.xml') }}
                  restore-keys: |
                      ${{ runner.os }}-maven-


            - name: Maven Package
              run: mvn -B package -DskipTests -f ./pom.xml

            -   name: Configure AWS credentials

                uses: aws-actions/configure-aws-credentials@v1
                with:
                    aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
                    aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
                    aws-region: us-east-1

            -   name: Login to Amazon ECR
                id: login-ecr
                uses: aws-actions/amazon-ecr-login@v1

            -   name: set env
                id: vars
                run: |
                    echo ::set-output name=github_short_sha::$(echo ${GITHUB_SHA:0:7})

            -   name: Build & Push Image
                id: build-image
                env:
                    DOCKER_BUILDKIT: 1
                    ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
                    ECR_REPOSITORY: app-repo
                    IMAGE_TAG: ${{ steps.vars.outputs.github_short_sha }}
                run: |
                    docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:latest -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
                    docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
                    docker push $ECR_REGISTRY/$ECR_REPOSITORY:latest
                    echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"

            -   name: Fill in the new image ID for App Fargate task definition
                id: app-task-def
                uses: aws-actions/amazon-ecs-render-task-definition@v1
                with:
                    task-definition: .aws/prod-definition.json
                    container-name: prod-app-container
                    image: ${{ steps.build-image.outputs.image }}


            -   name: Deploy App Fargate Task
                uses: aws-actions/amazon-ecs-deploy-task-definition@v1
                with:
                    task-definition: ${{ steps.app-task-def.outputs.task-definition }}
                    service: prod-service
                    cluster: prod-cluster

Docker 文件

FROM openjdk:8-jdk-slim as builder
#WORKDIR build
EXPOSE 8080
RUN mkdir target
ARG JAR_FILE=./target/*.jar
COPY ${JAR_FILE} target/app.jar
ENTRYPOINT ["java","-jar","/target/app.jar"]

Github actions 使用 maven 构建 jar 并用于 docker 图像构建

Github actions build jar with maven and use for docker image building

yaml

github

maven

docker

github-actions