인프런 커뮤니티 질문&답변

안녕하세요 이유진님!

Airflow 3.0부터는 Dag 을 파싱하는 모듈이 Scheduler로부터 분리되었습니다.

이 작업은 airflow-dag-processor 가 담당하고 있습니다.

그래서 적어주신 내용 중에서 airflow-dag-processor 모듈도 네트워크를 추가해주셔야 할 듯 해요.
(지금처럼 네트워크를 별도로 지정하지 않으면 airflow-dag-processor는 Default 네트워크를 바라보게 되고 network_custom을 할당받은 컨테이너들과 통신을 하지 못하게 됩니다)

작성해주신 것에서 airflow-dag-processor 서비스 항목 아래에 아래처럼 IP 추가해보시기 바랍니다.

networks:
      network_custom:
        ipv4_address: 172.28.0.11

airflow 3.0 업데이트 이후로 많은 부분이 바뀌었는데 미처 파악하지 못한 부분이 있어서 수강에 불편 겪으신 점 양해 부탁드립니다.

이 내용도 강의 내용을 업데이트 해보도록 하겠습니다.

감사합니다.

  airflow-dag-processor:
    <<: *airflow-common
    command: dag-processor
    healthcheck:
      test: ["CMD-SHELL", 'airflow jobs check --job-type DagProcessorJob --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

  airflow-worker:
    <<: *airflow-common
    command: celery worker
    healthcheck:
      # yamllint disable rule:line-length
      test:
        - "CMD-SHELL"
        - 'celery --app airflow.providers.celery.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}" || celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s
    environment:
      <<: *airflow-common-env
      # Required to handle warm shutdown of the celery workers properly
      # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation
      DUMB_INIT_SETSID: "0"
    restart: always
    depends_on:
      <<: *airflow-common-depends-on
      airflow-apiserver:
        condition: service_healthy
      airflow-init:
        condition: service_completed_successfully
    networks:
      network_custom:
        ipv4_address: 172.28.0.8

  airflow-triggerer:
    <<: *airflow-common
    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:
      network_custom:
        ipv4_address: 172.28.0.9

  airflow-init:
    <<: *airflow-common
    entrypoint: /bin/bash
    # yamllint disable rule:line-length
    command:
      - -c
      - |
        if [[ -z "${AIRFLOW_UID}" ]]; then
          echo
          echo -e "\033[1;33mWARNING!!!: AIRFLOW_UID not set!\e[0m"
          echo "If you are on Linux, you SHOULD follow the instructions below to set "
          echo "AIRFLOW_UID environment variable, otherwise files will be owned by root."
          echo "For other operating systems you can get rid of the warning with manually created .env file:"
          echo "    See: https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#setting-the-right-airflow-user"
          echo
          export AIRFLOW_UID=$(id -u)
        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
        echo
        echo "Creating missing opt dirs if missing:"
        echo
        mkdir -v -p /opt/airflow/{logs,dags,plugins,config}
        echo
        echo "Airflow version:"
        /entrypoint airflow version
        echo
        echo "Files in shared volumes:"
        echo
        ls -la /opt/airflow/{logs,dags,plugins,config}
        echo
        echo "Running airflow config list to create default config file if missing."
        echo
        /entrypoint airflow config list >/dev/null
        echo
        echo "Files in shared volumes:"
        echo
        ls -la /opt/airflow/{logs,dags,plugins,config}
        echo
        echo "Change ownership of files in /opt/airflow to ${AIRFLOW_UID}:0"
        echo
        chown -R "${AIRFLOW_UID}:0" /opt/airflow/
        echo
        echo "Change ownership of files in shared volumes to ${AIRFLOW_UID}:0"
        echo
        chown -v -R "${AIRFLOW_UID}:0" /opt/airflow/{logs,dags,plugins,config}
        echo
        echo "Files in shared volumes:"
        echo
        ls -la /opt/airflow/{logs,dags,plugins,config}

    # yamllint enable rule:line-length
    environment:
      <<: *airflow-common-env
      _AIRFLOW_DB_MIGRATE: '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"
    networks:
      network_custom:
        ipv4_address: 172.28.0.10    

  airflow-cli:
    <<: *airflow-common
    profiles:
      - debug
    environment:
      <<: *airflow-common-env
      CONNECTION_CHECK_MAX_COUNT: "0"
    # Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252
    command:
      - bash
      - -c
      - airflow
    depends_on:
      <<: *airflow-common-depends-on

  # You can enable flower by adding "--profile flower" option e.g. docker-compose --profile flower up
  # or by explicitly targeted on the command line e.g. docker-compose up flower.
  # See: https://docs.docker.com/compose/profiles/
  flower:
    <<: *airflow-common
    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

volumes:
  postgres-db-volume:
  postgres-custom-db-volume:

networks:
  network_custom:
    driver: bridge
    ipam:
      driver: default
      config:
        - subnet: 172.28.0.0/16
          gateway: 172.28.0.1

글자 수 제한으로 나눠서 올립니다