调度器安装

千桐科技2025/6/20大约 3 分钟

一、下载源码

🔗 百度网盘提取码: mc1d

二、创建阿里云的镜像仓库(服务器构建镜像跳过)

访问https://cr.console.aliyun.com进行创建（或使用私有的仓库都可以）

三、本地安装Docker Desktop(服务器构建镜像跳过)

四、登陆阿里云镜像服务(服务器构建镜像跳过)

#登陆
docker login --username=《账号》 registry.cn-hangzhou.aliyuncs.com
#输入密码

五、打开项目(服务器构建镜像跳过)

开发工具IDEA打开项目中的 dolphinscheduler 文件夹，会自动安装Maven依赖，等待安装完成，速度取决于网络。

六、构建镜像

1、本地构建镜像

#maven 打包构建发布，命名空间为阿里云的替换后再执行，-Ddocker.tag 为镜像的标签，默认为latest，-Ddocker.hub为镜像仓库地址
mvn -B clean deploy -Dmaven.test.skip -Dmaven.javadoc.skip -Dspotless.skip=true -Dmaven.deploy.skip -Ddocker.tag=latest -Ddocker.hub=registry.cn-hangzhou.aliyuncs.com/《命名空间》 -Pdocker,release

2、服务器构建镜像

#maven 打包构建，-Ddocker.tag 为镜像的标签
mvn -B clean package -Dmaven.test.skip -Dmaven.javadoc.skip -Dspotless.skip=true -Ddocker.tag=latest -Pdocker,release

七、修改环境变量文件

位于：deploy/docker/dev/.env，具体配置项目可以参考里面的注释内容。

TAG=latest #镜像的标签
TZ=Asia/Shanghai
DATABASE=postgresql #数据库类型 默认为postgresql
SPRING_JACKSON_TIME_ZONE=UTC
SPRING_DATASOURCE_URL=jdbc:postgresql://dolphinscheduler-postgresql:5432/dolphinscheduler #数据库连接地址
REGISTRY_ZOOKEEPER_CONNECT_STRING=dolphinscheduler-zookeeper:2181 #zookeeper连接地址
SPARK_HOME=/opt/soft/spark # spark的目录，默认为/opt/soft/spark（docker容器内的地址）
SPARK_MASTER_URL=spark://192.168.0.5:7077 #spark-master url
SPRING_RABBITMQ_HOST=192.168.0.5 #rabbitmq ip
SPRING_RABBITMQ_PORT=5672 #rabbitmq 端口
SPRING_RABBITMQ_USERNAME=账号 #rabbitmq 账号
SPRING_RABBITMQ_PASSWORD=密码 #rabbitmq 密码

八、修改docker-compose文件

位于：deploy/docker/dev/docker-compose.yml，具体配置项目可以参考里面的注释内容。

version: "3.8"

services:
  dolphinscheduler-postgresql:
    image: bitnami/postgresql:15.2.0
    ports:
      - "5432:5432"
    profiles: ["schema"]
    environment:
      POSTGRESQL_USERNAME: root
      POSTGRESQL_PASSWORD: root
      POSTGRESQL_DATABASE: dolphinscheduler
    volumes:
      - dolphinscheduler-postgresql:/bitnami/postgresql
    healthcheck:
      test: ["CMD", "bash", "-c", "cat < /dev/null > /dev/tcp/127.0.0.1/5432"]
      interval: 5s
      timeout: 60s
      retries: 120
    networks:
      - dolphinscheduler

  dolphinscheduler-zookeeper:
    image: bitnami/zookeeper:3.7.1
    profiles: ["all"]
    environment:
      ALLOW_ANONYMOUS_LOGIN: "yes"
      ZOO_4LW_COMMANDS_WHITELIST: srvr,ruok,wchs,cons
    volumes:
      - dolphinscheduler-zookeeper:/bitnami/zookeeper
    healthcheck:
      test: ["CMD", "bash", "-c", "cat < /dev/null > /dev/tcp/127.0.0.1/2181"]
      interval: 5s
      timeout: 60s
      retries: 120
    networks:
      - dolphinscheduler

  dolphinscheduler-schema-initializer:
    image: ${HUB}/dolphinscheduler-tools:${TAG}
    env_file: .env
    profiles: ["schema"]
    command: [ tools/bin/upgrade-schema.sh ]
    depends_on:
      dolphinscheduler-postgresql:
        condition: service_healthy
    volumes:
      - /data/ds/logs:/opt/dolphinscheduler/logs
      # spark放在/data/ds/soft 并进行挂载
      - /data/ds/soft:/opt/soft
      - /data/ds/resource:/dolphinscheduler
    networks:
      - dolphinscheduler

  dolphinscheduler-api:
    image: ${HUB}/dolphinscheduler-api:${TAG}
    ports:
      - "12345:12345"
      - "25333:25333"
    profiles: ["all"]
    env_file: .env
    healthcheck:
      test: [ "CMD", "curl", "http://localhost:12345/dolphinscheduler/actuator/health" ]
      interval: 30s
      timeout: 5s
      retries: 3
    depends_on:
      dolphinscheduler-zookeeper:
        condition: service_healthy
    volumes:
      - /data/ds/logs:/opt/dolphinscheduler/logs # 实例日志路径挂载，用于在平台中查看实例日志
      - /data/ds/soft:/opt/soft # spark放在/data/ds/soft 并进行挂载
      - /data/ds/resource:/dolphinscheduler 
    networks:
      - dolphinscheduler

  dolphinscheduler-alert:
    image: ${HUB}/dolphinscheduler-alert-server:${TAG}
    profiles: ["all"]
    env_file: .env
    healthcheck:
      test: [ "CMD", "curl", "http://localhost:50053/actuator/health" ]
      interval: 30s
      timeout: 5s
      retries: 3
    depends_on:
      dolphinscheduler-zookeeper:
        condition: service_healthy
    volumes:
      - /data/ds/logs:/opt/dolphinscheduler/logs # 实例日志路径挂载，用于在平台中查看实例日志
    networks:
      - dolphinscheduler

  dolphinscheduler-master:
    image: ${HUB}/dolphinscheduler-master:${TAG}
    profiles: ["all"]
    env_file: .env
    healthcheck:
      test: [ "CMD", "curl", "http://localhost:5679/actuator/health" ]
      interval: 30s
      timeout: 5s
      retries: 3
    depends_on:
      dolphinscheduler-zookeeper:
        condition: service_healthy
    volumes:
      - /data/ds/logs:/opt/dolphinscheduler/logs # 实例日志路径挂载，用于在平台中查看实例日志
      - /data/ds/soft:/opt/soft # spark放在/data/ds/soft 并进行挂载
    networks:
      - dolphinscheduler

  dolphinscheduler-worker:
    image: ${HUB}/dolphinscheduler-worker:${TAG}
    ports:
      - "8083:8080"
    profiles: ["all"]
    env_file: .env
    healthcheck:
      test: [ "CMD", "curl", "http://localhost:1235/actuator/health" ]
      interval: 30s
      timeout: 5s
      retries: 3
    depends_on:
      dolphinscheduler-zookeeper:
        condition: service_healthy
    volumes:
      - dolphinscheduler-worker-data:/tmp/dolphinscheduler # 实例日志路径挂载，用于在平台中查看实例日志
      - /data/ds/logs:/opt/dolphinscheduler/logs # spark放在/data/ds/soft 并进行挂载
      - /data/ds/soft:/opt/soft  # spark放在/data/ds/soft 并进行挂载
      - /data/ds/resource:/dolphinscheduler # 资源中心挂载，用于平台csv excel文件可以在任务中访问
    networks:
      - dolphinscheduler

networks:
  dolphinscheduler:
    driver: bridge

volumes:
  dolphinscheduler-postgresql:
  dolphinscheduler-zookeeper:
  dolphinscheduler-worker-data:

九、上传文件至服务器

复制项目中下方文件，到服务器的/opt/ds目录下

deploy/docker/postgresql.tar
deploy/docker/zookeeper.tar
deploy/docker/restart.sh
deploy/docker/dev/.env
deploy/docker/dev/docker-compose.yml

十、加载两个docker离线镜像包

登录到服务器，并进入/opt/ds目录下

cd /opt/ds
docker load -i postgresql.tar
docker load -i zookeeper.tar

十一、登陆阿里云镜像服务(服务器构建镜像跳过)

#登陆
docker login --username=《账号》 registry.cn-hangzhou.aliyuncs.com
#输入密码

十二、初始化数据库结构

cd /opt/ds
docker-compose --profile schema up -d

十三、启动服务

cd /opt/ds
#给脚本添加权限
chmod +x restart.sh
#执行启动脚本
./restart.sh