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docker環(huán)境部署domino的詳細過程

更新時間：2026年04月23日 14:20:25 作者：Zhu758

要在Docker容器中運行Domino服務(wù)器,你需要創(chuàng)建一個Docker容器,該容器運行一個適合Domino服務(wù)器運行的操作系統(tǒng)和必要的軟件,本文給大家介紹docker環(huán)境部署domino的詳細過程,感興趣的朋友跟隨小編一起看看吧

說明

Domino項目是一個開源任務(wù)調(diào)度平臺，結(jié)合Apache Airflow使用，使Airflow的web界面更直觀。

項目代碼：https://github.com/Tauffer-Consulting/domino

后續(xù)更新計劃

去掉對GitHub的依賴，適配主流的國內(nèi)外代碼平臺
增加組件自定義配置，適配最新版airflow

創(chuàng)建文件

.env

# Airflow配置
AIRFLOW_UID=50000
AIRFLOW_GID=0
# Domino配置
DOMINO_COMPOSE_DEV=true
# GitHub個人賬戶的令牌在GitHub網(wǎng)站的開發(fā)者配置里創(chuàng)建
DOMINO_DEFAULT_PIECES_REPOSITORY_TOKEN=GitHub個人賬戶的令牌
DOMINO_CREATE_DEFAULT_USER=true
# 數(shù)據(jù)庫配置
POSTGRES_USER=domino
POSTGRES_PASSWORD=domino_password
POSTGRES_DB=domino
# Redis配置
REDIS_PASSWORD=redis_password
# Domino管理員配置，強制內(nèi)置，不支持自定義。
DOMINO_ADMIN_EMAIL=admin@example.com
DOMINO_ADMIN_PASSWORD=admin

compose.yaml
注意，需修改domino-rest中的API URL配置。

# Basic Airflow cluster configuration for CeleryExecutor with Redis and PostgreSQL.
# WARNING: This configuration is for local development. Do not use it in a production deployment.
---
x-airflow-common:
  &airflow-common
  image: apache/airflow:2.7.2-python3.9
  environment:
    &airflow-common-env
    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
    AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
    AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
    AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow
    AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0
    AIRFLOW__CORE__FERNET_KEY: ''
    AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
    AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
    AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session'
    AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true'
    AIRFLOW__SCHEDULER__DAG_DIR_LIST_INTERVAL: 10
    _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-}
  volumes:
    - ${AIRFLOW_PROJ_DIR:-./airflow}/dags:/opt/airflow/dags
    - ${AIRFLOW_PROJ_DIR:-./airflow}/logs:/opt/airflow/logs
    - ${AIRFLOW_PROJ_DIR:-./airflow}/plugins:/opt/airflow/plugins
  user: "${AIRFLOW_UID:-50000}:0"
  depends_on:
    &airflow-common-depends-on
    redis:
      condition: service_healthy
    postgres:
      condition: service_healthy
services:
  postgres:
    image: postgres:13
    container_name: airflow-postgres
    environment:
      POSTGRES_USER: airflow
      POSTGRES_PASSWORD: airflow
      POSTGRES_DB: airflow
    volumes:
      - airflow_postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: [ "CMD", "pg_isready", "-U", "airflow" ]
      interval: 10s
      retries: 5
      start_period: 5s
    restart: always
    networks:
      - domino-net
  redis:
    image: redis:latest
    container_name: airflow-redis
    expose:
      - 6379
    healthcheck:
      test: [ "CMD", "redis-cli", "ping" ]
      interval: 10s
      timeout: 30s
      retries: 50
      start_period: 30s
    restart: always
    networks:
      - domino-net
  airflow-webserver:
    <<: *airflow-common
    container_name: airflow-webserver
    command: webserver
    ports:
      - "8080:8080"
    healthcheck:
      test:
        [
          "CMD",
          "curl",
          "--fail",
          "http://localhost:8080/health"
        ]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s
    restart: always
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully
    networks:
      - domino-net
  airflow-triggerer:
    <<: *airflow-common
    container_name: airflow-triggerer
    command: triggerer
    healthcheck:
      test:
        [
          "CMD-SHELL",
          'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"'
        ]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s
    restart: always
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully
    networks:
      - domino-net
  airflow-init:
    <<: *airflow-common
    container_name: airflow-init
    entrypoint: /bin/bash
    command:
      - -c
      - |
        function ver() {
          printf "%04d%04d%04d%04d" $${1//./ }
        }
        airflow_version=$$(AIRFLOW__LOGGING__LOGGING_LEVEL=INFO && gosu airflow airflow version)
        airflow_version_comparable=$$(ver $${airflow_version})
        min_airflow_version=2.2.0
        min_airflow_version_comparable=$$(ver $${min_airflow_version})
        if (( airflow_version_comparable < min_airflow_version_comparable )); then
          echo
          echo -e "\033[1;31mERROR!!!: Too old Airflow version $${airflow_version}!\e[0m"
          echo "The minimum Airflow version supported: $${min_airflow_version}. Only use this or higher!"
          echo
          exit 1
        fi
        if [[ -z "${AIRFLOW_UID}" ]]; then
          echo
          echo -e "\033[1;33mWARNING!!!: AIRFLOW_UID not set!\e[0m"
          echo "If you are on Linux, you SHOULD follow the instructions below to set "
          echo "AIRFLOW_UID environment variable, otherwise files will be owned by root."
          echo "For other operating systems you can get rid of the warning with manually created .env file:"
          echo "    See: https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#setting-the-right-airflow-user"
          echo
        fi
        one_meg=1048576
        mem_available=$$(($$(getconf _PHYS_PAGES) * $$(getconf PAGE_SIZE) / one_meg))
        cpus_available=$$(grep -cE 'cpu[0-9]+' /proc/stat)
        disk_available=$$(df / | tail -1 | awk '{print $$4}')
        warning_resources="false"
        if (( mem_available < 4000 )) ; then
          echo
          echo -e "\033[1;33mWARNING!!!: Not enough memory available for Docker.\e[0m"
          echo "At least 4GB of memory required. You have $$(numfmt --to iec $$((mem_available * one_meg)))"
          echo
          warning_resources="true"
        fi
        if (( cpus_available < 2 )); then
          echo
          echo -e "\033[1;33mWARNING!!!: Not enough CPUS available for Docker.\e[0m"
          echo "At least 2 CPUs recommended. You have $${cpus_available}"
          echo
          warning_resources="true"
        fi
        if (( disk_available < one_meg * 10 )); then
          echo
          echo -e "\033[1;33mWARNING!!!: Not enough Disk space available for Docker.\e[0m"
          echo "At least 10 GBs recommended. You have $$(numfmt --to iec $$((disk_available * 1024 )))"
          echo
          warning_resources="true"
        fi
        if [[ $${warning_resources} == "true" ]]; then
          echo
          echo -e "\033[1;33mWARNING!!!: You have not enough resources to run Airflow (see above)!\e[0m"
          echo "Please follow the instructions to increase amount of resources available:"
          echo "   https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#before-you-begin"
          echo
        fi
        mkdir -p /sources/logs /sources/dags /sources/plugins
        chown -R "${AIRFLOW_UID}:0" /sources/{logs,dags,plugins}
        exec /entrypoint airflow version
    environment:
      <<: *airflow-common-env
      _AIRFLOW_DB_UPGRADE: 'true'
      _AIRFLOW_WWW_USER_CREATE: 'true'
      _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
      _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
      _PIP_ADDITIONAL_REQUIREMENTS: ''
    user: "0:0"
    volumes:
      - ${AIRFLOW_PROJ_DIR:-./airflow}:/sources
    networks:
      - domino-net
  airflow-cli:
    <<: *airflow-common
    container_name: airflow-cli
    profiles:
      - debug
    environment:
      <<: *airflow-common-env
      CONNECTION_CHECK_MAX_COUNT: "0"
    command:
      - bash
      - -c
      - airflow
    networks:
      - domino-net
  # 不用可注釋掉
  flower:
    <<: *airflow-common
    container_name: airflow-flower
    command: celery flower
    #profiles:
    #  - flower
    ports:
      - "5555:5555"
    healthcheck:
      test: [ "CMD", "curl", "--fail", "http://localhost:5555/" ]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s
    restart: always
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully
    networks:
      - domino-net
  # Modified Airflow Scheduler with Domino
  airflow-scheduler:
    <<: *airflow-common
    image: ghcr.io/tauffer-consulting/domino-airflow-base:latest
    container_name: airflow-scheduler
    command: scheduler
    healthcheck:
      test:
        [
          "CMD",
          "curl",
          "--fail",
          "http://localhost:8974/health"
        ]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s
    restart: always
    environment:
      <<: *airflow-common-env
      DOMINO_DEPLOY_MODE: local-compose
    volumes:
      - ${AIRFLOW_PROJ_DIR:-./airflow}/dags:/opt/airflow/dags
      - ${AIRFLOW_PROJ_DIR:-./airflow}/logs:/opt/airflow/logs
      - ${AIRFLOW_PROJ_DIR:-./airflow}/plugins:/opt/airflow/plugins
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully
    networks:
      - domino-net
  # Modified Airflow Worker with Domino
  airflow-worker:
    <<: *airflow-common
    image: ghcr.io/tauffer-consulting/domino-airflow-base:latest
    container_name: airflow-worker
    command: celery worker
    healthcheck:
      test:
        - "CMD-SHELL"
        - 'celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s
    environment:
      <<: *airflow-common-env
      DUMB_INIT_SETSID: "0"
      DOMINO_DEPLOY_MODE: local-compose
      LOCAL_DOMINO_SHARED_DATA_PATH: ${PWD}/domino_data
    restart: always
    volumes:
      - ${AIRFLOW_PROJ_DIR:-./airflow}/dags:/opt/airflow/dags
      - ${AIRFLOW_PROJ_DIR:-./airflow}/logs:/opt/airflow/logs
      - ${AIRFLOW_PROJ_DIR:-./airflow}/plugins:/opt/airflow/plugins
      - ${PWD}/domino_data:/home/shared_storage
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully
    networks:
      - domino-net
  # Domino REST Api
  domino_rest:
    image: zhuyifeiruichuang/domino-rest:latest
    container_name: domino-rest
    command: bash -c "alembic upgrade heads && python -m utils.populate_first_user && uvicorn main:app --reload --workers 1 --host 0.0.0.0 --port 8000"
    ports:
      - 8000:8000
    environment:
      - DOMINO_DB_USER=postgres
      - DOMINO_DB_PASSWORD=postgres
      - DOMINO_DB_HOST=domino_postgres
      - DOMINO_DB_PORT=5432
      - DOMINO_DB_NAME=postgres
      - DOMINO_DEFAULT_PIECES_REPOSITORY_TOKEN=${DOMINO_DEFAULT_PIECES_REPOSITORY_TOKEN}
      - DOMINO_DEPLOY_MODE=local-compose
      - AIRFLOW_ADMIN_USERNAME=airflow
      - AIRFLOW_ADMIN_PASSWORD=airflow
      - CREATE_DEFAULT_USER=${DOMINO_CREATE_DEFAULT_USER}
    networks:
      - domino-net
    volumes:
      - ${AIRFLOW_PROJ_DIR:-./airflow}/dags:/opt/airflow/dags
    depends_on:
      domino_postgres:
        condition: service_healthy
  # Domino Postgres
  domino_postgres:
    image: postgres:13
    container_name: domino-postgres
    environment:
      - POSTGRES_DB=postgres
      - POSTGRES_USER=postgres
      - POSTGRES_PASSWORD=postgres
    volumes:
      - domino_postgres_data:/var/lib/postgresql/data
    networks:
      - domino-net
    healthcheck:
      test:
        [
          "CMD-SHELL",
          "pg_isready -d $${POSTGRES_DB} -U $${POSTGRES_USER}"
        ]
      interval: 10s
      timeout: 60s
      retries: 5
      start_period: 2s
    ports:
      - "5433:5432"
    restart: always
  # Domino Frontend
  domino_frontend:
    image: zhuyifeiruichuang/domino-frontend:compose
    container_name: domino-frontend
    ports:
      - "3000:80"
    depends_on:
      domino_rest:
        condition: service_started
    environment:
      - DOMINO_DEPLOY_MODE=local-compose
	    # 此處只能填寫最終訪問的IP和端口，無法識別容器名字。EIP場景填寫EIP，NAT場景填寫轉(zhuǎn)發(fā)后的IP和端口。
      - API_URL=http://IP:8000
    networks:
      - domino-net
  docker-proxy:
    image: alpine/socat
    container_name: domino-docker-proxy
    command: "TCP4-LISTEN:2375,fork,reuseaddr UNIX-CONNECT:/var/run/docker.sock"
    ports:
      - "2376:2375"
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    networks:
      - domino-net
volumes:
  airflow_postgres_data:
    name: airflow_postgres_data
  domino_postgres_data:
    name: domino_postgres_data
networks:
  domino-net:
    name: domino-network
    driver: bridge