docker-compose.yaml

version: '3'

services:
  # postgres:
  #   image: postgres:13
  #   environment:
  #     POSTGRES_USER: airflow
  #     POSTGRES_PASSWORD: airflow
  #     POSTGRES_DB: airflow
  #   volumes:
  #     - postgres-db-volume:/var/lib/postgresql/data
  #   healthcheck:
  #     test: ["CMD", "pg_isready", "-U", "airflow"]
  #     interval: 5s
  #     retries: 5
  #   restart: always
  mysql:
    container_name: mysql
    image: mysql:8.0.27
    environment:
      MYSQL_ROOT_PASSWORD: root
      MYSQL_USER: airflow
      MYSQL_PASSWORD: airflow
      MYSQL_DATABASE: airflow
    cap_add:
      - SYS_NICE
    volumes:
      - mysql-db-volume:/var/lib/mysql
    command: # 명령어 실행
      - --character-set-server=utf8mb4
      - --collation-server=utf8mb4_unicode_ci
      - --default-authentication-plugin=mysql_native_password
      - --lower-case-table-names=1
    healthcheck:
            test: ["CMD", "mysqladmin" ,"ping", "-h", "localhost"]
            timeout: 20s
            retries: 10

  redis:
    container_name: redis
    image: redis:latest
    ports:
      - 6379:6379
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 5s
      timeout: 30s
      retries: 50
    restart: always

  airflow-webserver:
    image: ${AIRFLOW_IMAGE_NAME:-airflow:2.3.2-01}
    # docker-swarm으로 올릴때는 repository에 있는 이미지를 build 한다는 명령어가 있어야 함
    build: .
    env_file:
      - .env
    volumes:
      - ./dags:/opt/airflow/dags
      - ./logs:/opt/airflow/logs
      - ./plugins:/opt/airflow/plugins
      - ./repository:/opt/airflow/repository
      - ./packages:/opt/airflow/packages
    user: "${AIRFLOW_UID:-50000}:0"
    container_name: airflow-webserver
    command: webserver
    ports:
      - 8080:8080
    healthcheck:
      test: ["CMD", "curl", "--fail", "http://localhost:8080/health"]
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always
    depends_on: [airflow-init]

  airflow-scheduler:
    image: ${AIRFLOW_IMAGE_NAME:-airflow:2.3.2-01}
    build: .
    env_file:
      - .env
    volumes:
      - ./dags:/opt/airflow/dags
      - ./logs:/opt/airflow/logs
      - ./plugins:/opt/airflow/plugins
      - ./repository:/opt/airflow/repository
      - ./packages:/opt/airflow/packages
    user: "${AIRFLOW_UID:-50000}:0"
    container_name: airflow-scheduler
    command: scheduler
    healthcheck:
      test: ["CMD-SHELL", 'airflow jobs check --job-type SchedulerJob --hostname "$${HOSTNAME}"']
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always
    depends_on: [airflow-init]

  airflow-jupyter:
    image: ${AIRFLOW_IMAGE_NAME:-airflow:2.3.2-01}
    build: .
    env_file:
      - .env
    volumes:
      - ./dags:/opt/airflow/dags
      - ./logs:/opt/airflow/logs
      - ./plugins:/opt/airflow/plugins
      - ./repository:/opt/airflow/repository
      - ./packages:/opt/airflow/packages
    user: "${AIRFLOW_UID:-50000}:0"
    container_name: airflow-jupyter
    command: bash -cx "jupyter notebook --ip 0.0.0.0  --NotebookApp.token='airflow' --no-browser"
    ports:
      - 8888:8888
    restart: always
    depends_on: [airflow-scheduler]

  airflow-worker:
    image: ${AIRFLOW_IMAGE_NAME:-airflow:2.3.2-01}
    build: .
    env_file:
      - .env
    environment:
      DUMB_INIT_SETSID: "0"
    volumes:
      - ./dags:/opt/airflow/dags
      - ./logs:/opt/airflow/logs
      - ./plugins:/opt/airflow/plugins
      - ./repository:/opt/airflow/repository
      - ./packages:/opt/airflow/packages
    user: "${AIRFLOW_UID:-50000}:0"
    command: celery worker
    healthcheck:
      test:
        - "CMD-SHELL"
        - 'celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always
    depends_on: [airflow-scheduler]

  # airflow-worker1:
  #   <<: *airflow-common
  #   container_name: airflow-worker1
  #   command: celery worker
  #   healthcheck:
  #     test:
  #       - "CMD-SHELL"
  #       - 'celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
  #     interval: 10s
  #     timeout: 10s
  #     retries: 5
  #   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
  #   ports:
  #     - 50001:8793
  #   depends_on:
  #     <<: *airflow-common-depends-on
  #     airflow-init:
  #       condition: service_completed_successfully

  # airflow-worker2:
  #   <<: *airflow-common
  #   container_name: airflow-worker2
  #   command: celery worker
  #   healthcheck:
  #     test:
  #       - "CMD-SHELL"
  #       - 'celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
  #     interval: 10s
  #     timeout: 10s
  #     retries: 5
  #   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
  #   ports:
  #     - 50002:8793
  #   depends_on:
  #     <<: *airflow-common-depends-on
  #     airflow-init:
  #       condition: service_completed_successfully

  airflow-triggerer:
    image: ${AIRFLOW_IMAGE_NAME:-airflow:2.3.2-01}
    # docker-swarm으로 올릴때는 repository에 있는 이미지를 build 한다는 명령어가 있어야 함
    build: .
    env_file:
      - .env
    volumes:
      - ./dags:/opt/airflow/dags
      - ./logs:/opt/airflow/logs
      - ./plugins:/opt/airflow/plugins
      - ./repository:/opt/airflow/repository
      - ./packages:/opt/airflow/packages
    user: "${AIRFLOW_UID:-50000}:0"
    container_name: airflow-triggerer
    command: triggerer
    healthcheck:
      test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"']
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always
    depends_on: [airflow-init]

  airflow-init:
    image: ${AIRFLOW_IMAGE_NAME:-airflow:2.3.2-01}
    build: .
    container_name: airflow-init
    env_file:
      - .env
    entrypoint: /bin/bash
    # yamllint disable rule:line-length
    command:
      - -c
      - |
        function ver() {
          printf "%04d%04d%04d%04d" $${1//./ }
        }
        airflow_version=$$(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/start/docker.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/start/docker.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
    user: "0:0"
    volumes:
      - .:/sources
      - ./dags:/opt/airflow/dags
      - ./logs:/opt/airflow/logs
      - ./plugins:/opt/airflow/plugins
      - ./repository:/opt/airflow/repository
      - ./packages:/opt/airflow/packages
  airflow-cli:
    image: ${AIRFLOW_IMAGE_NAME:-airflow:2.3.2-01}
    profiles:
      - debug
    env_file:
      - .env
    environment:
      CONNECTION_CHECK_MAX_COUNT: "0"
   # Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252
    command:
      - bash
      - -c
      - airflow

  flower:
    image: ${AIRFLOW_IMAGE_NAME:-airflow:2.3.2-01}
    build: .
    env_file:
      - .env
    volumes:
      - ./dags:/opt/airflow/dags
      - ./logs:/opt/airflow/logs
      - ./plugins:/opt/airflow/plugins
      - ./repository:/opt/airflow/repository
      - ./packages:/opt/airflow/packages
    user: "${AIRFLOW_UID:-50000}:0"
    container_name: flower
    command: celery flower
    ports:
      - 5555:5555
    healthcheck:
      test: ["CMD", "curl", "--fail", "http://localhost:5555/"]
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always
    depends_on: [airflow-scheduler]

volumes:
  mysql-db-volume:
  # airflowlogs: