Rancher使用--后端流水线

- 日理万妓 2022-10-08 05:49 164阅读 0赞

前期准备  需要配置gitlab凭证

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM5MDcxNTk5_size_16_color_FFFFFF_t_70][]

![20210620164923684.png][]

这里选择gitlab

然后去gitlab 生成ID和密钥   根据需要选择下面的内容

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM5MDcxNTk5_size_16_color_FFFFFF_t_70 1][]

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将这里的内容复制到rancher的流水线设置gitlab凭证

**1.项目配置**

项目根目录(与pom.xml同级)需要增加四个文件(.rancher-pipeline.yml、deployment.yaml、Dockerfile、settings.xml)

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM5MDcxNTk5_size_16_color_FFFFFF_t_70 3][]

**1.1  ****.****rancher-pipeline.yml****文件**

stages:
    - name: bulid
      steps:
      - runScriptConfig:
          image: maven:3.8.1-jdk-8-slim
          shellScript: |-
            LOG_TAG="CHIP-INFO"
            MVN_SETTINGS_PATH="/root/.m2"
            if [ -d "${MVN_SETTINGS_PATH}" ];then
                 mv ./settings.xml ${MVN_SETTINGS_PATH}
                 if [ $? -eq 0 ];then
                    echo "[$LOG_TAG]Copy settings.xml to ${MVN_SETTINGS_PATH} success!"
                 else
                    echo "[$LOG_TAG]Copy settings.xml to ${MVN_SETTINGS_PATH} fail!"
                 fi
            else
               mkdir -p ${MVN_SETTINGS_PATH} && mv ./settings.xml ${MVN_SETTINGS_PATH}
               echo "[$LOG_TAG]Create path:${MVN_SETTINGS_PATH} and copy settings.xml to ${MVN_SETTINGS_PATH}!"
            fi
            echo "[$LOG_TAG]Current pwd:`pwd`"
            ls -l
            echo "[$LOG_TAG]===========Execute Maven CMD Build Project Start==========="
            mvn clean package -Dmaven.test.skip=true
            echo "[$LOG_TAG]===========Execute Maven CMD Build Project End==========="
            echo "[$LOG_TAG]Dir:target ls -l:`pwd`"
            ls -l ./target
    - name: publish
      steps:
      - publishImageConfig:
          dockerfilePath: ./Dockerfile
          buildContext: .
          tag: 192.168.xxx.xxx/zhiwu-config:latest #docker私服里镜像名称
    
          pushRemote: true
          registry: 192.168.xxx.xxx  #docker私服地址
    
    env:
          PLUGIN_DEBUG: "true"
          PLUGIN_INSECURE: "true"
    - name: deploy
      steps:
      - applyYamlConfig:
          path: ./deployment.yaml
    timeout: 60
    notification: {}

1.2   **deployment.yaml文件**

kind: Service
    apiVersion: v1
    metadata:
      name: zhiwu-config    #:改为自己服务名称
    spec:
      selector:
        app: zhiwu-config   #:改为自己服务名称
      type: NodePort
      ports:
        - protocol: TCP
          port: 33002        #:kubernetes中的服务之间访问的端口
          targetPort: 8090   #:容器的端口(最根本的端口)，与制作容器时暴露的端口一致(DockerFile中EXPOSE)
          nodePort: 32002   #:外部机器可访问的端口，一个Web应用需要被其他用户访问，需要配置type=NodePort，而且配置nodePort=32002,那么其他机器就可以通过浏览器访问scheme://node:32002访问到该服务;有效端口范围:30000-32767
    ---
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: zhiwu-config #改为自己服务名称
      labels:
        app: zhiwu-config #改为自己服务名称
    spec:
      replicas: 1
      selector:
        matchLabels:
          app: zhiwu-config #改为自己服务名称
      template:
        metadata:
          labels:
            app: zhiwu-config #改为自己服务名称
        spec:
          imagePullSecrets:
            - name: private-repository
          containers:
            - name: zhiwu-config         #pod的名称，必须字段，名称唯一且对象创建后不可以被修改
              image: 192.168.xxx.xxx/zhiwu-config:latest  #:镜像仓库的路径/镜像的名称:镜像的标签
              imagePullPolicy: Always  #Always(总是去仓库下载),Never(从不去仓库下载),IfNotPresent(如果本地没有就去仓库下载),默认是"IfNotPresent"
              ports:
                - containerPort: 8090 #TODO:pod暴露的端口，此端口仅是额外的信息，对端口是否被暴露没有影响

1.3   **Dockerfile****文件**

FROM openjdk:8u292-jre
    ADD target/*SNAPSHOT.jar zhiwuBackend_prod.jar
    EXPOSE 8090
    ENTRYPOINT ["java","-jar","zhiwuBackend_prod.jar"]

1.4   **settings.xml****文件**

settings.xml主要设置jenkins构建项目时Maven插件的配置信息，无需修改内容，直接复制到项目根目录即可。

**2.rancher****配置流水线**

**2.1 登录Rancher**

**2.2 设置代码库**

点击设置代码库，配置gitlab登录账户,拉取gitlab账户相关项目,设置成功后，相关项目出现在流水线中:

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM5MDcxNTk5_size_16_color_FFFFFF_t_70 4][]

**2.3编辑配置**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM5MDcxNTk5_size_16_color_FFFFFF_t_70 5][]

选择想要自动构建的分支,点击"完成",弹出选择“仅下载流水线配置”，点击“确定”。

之前添加的四个文件 rancher这里会自动识别

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM5MDcxNTk5_size_16_color_FFFFFF_t_70 6][]

**3.运行流水线**

**3.1 运行      **

选中部署的流水线，点击“运行”，弹窗选择想要的部署分支，点击“运行”，启动流水线自动部署：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM5MDcxNTk5_size_16_color_FFFFFF_t_70 7][]

**3.2 流水线运行**

启动流水线运行，等待执行完成，此处编译部署需要较长时间:

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM5MDcxNTk5_size_16_color_FFFFFF_t_70 8][]

**3.3 流水线执行完毕**

流水线执行完毕，会在相应的pipline命名空间下部署该应用：

![20210620170829350.png][]

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[20210620164923684.png]: /images/20221005/0b64aff078d94a4fb96dfb0ab480b6d5.png
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[20210620170829350.png]: /images/20221005/bba4a0f917134b75af7b27996a61353b.png