docker-compose.yaml

version: '3.8'
x-airflow-common:
  &airflow-common
  image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.7.1}
  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'
    _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-}
    AIRFLOW__SCHEDULER__DAG_DIR_LIST_INTERVAL: 30
  volumes:
    - ${AIRFLOW_PROJ_DIR:-.}/dags:/opt/airflow/dags
    - ${AIRFLOW_PROJ_DIR:-.}/logs:/opt/airflow/logs
    - ${AIRFLOW_PROJ_DIR:-.}/config:/opt/airflow/config
    - ${AIRFLOW_PROJ_DIR:-.}/plugins:/opt/airflow/plugins
  user: "${AIRFLOW_UID:-50000}:0"
  depends_on:
    &airflow-common-depends-on
    redis:
      condition: service_healthy
    postgres:
      condition: service_healthy

services:
  install-requirements:
    <<: *airflow-common
    container_name: install-requirements
    build:
      context: .
    volumes:
      - ./requirements.txt:/requirements.txt
    depends_on:
      - postgres
      - redis
    networks:
      - all-network

  postgres:
    image: postgres:13
    container_name: postgres
    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: 10s
      retries: 5
      start_period: 5s
    restart: always
    networks:
      - all-network

  redis:
    image: redis:latest
    container_name: redis
    expose:
      - 6379
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 30s
      retries: 50
      start_period: 30s
    restart: always
    networks:
      - all-network

  airflow-webserver:
    <<: *airflow-common
    command: webserver
    container_name: airflow-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:
      - all-network

  airflow-scheduler:
    <<: *airflow-common
    command: scheduler
    container_name: airflow-scheduler
    healthcheck:
      test: ["CMD", "curl", "--fail", "http://localhost:8974/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:
      - all-network

  airflow-worker:
    <<: *airflow-common
    command: celery worker
    container_name: airflow-worker
    healthcheck:
      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
      DUMB_INIT_SETSID: "0"
    restart: always
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully
    networks:
      - all-network

  airflow-triggerer:
    <<: *airflow-common
    command: triggerer
    container_name: airflow-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:
      - all-network

  airflow-init:
    <<: *airflow-common
    entrypoint: /bin/bash
    container_name: airflow-init
    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_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"
    volumes:
      - ${AIRFLOW_PROJ_DIR:-.}:/sources
    networks:
      - all-network

  airflow-cli:
    <<: *airflow-common
    profiles:
      - debug
    container_name: airflow-cli
    environment:
      <<: *airflow-common-env
      CONNECTION_CHECK_MAX_COUNT: "0"
    command:
      - bash
      - -c
      - airflow
    networks:
      - all-network

  flower:
    <<: *airflow-common
    command: celery flower
    container_name: 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:
      - all-network

  zoo1:
    image: confluentinc/cp-zookeeper:7.3.2
    ports:
      - "2181:2181"
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_SERVER_ID: 1
      ZOOKEEPER_SERVERS: zoo1:2888:3888
    networks:
      - kafka-network
      - all-network

  kafka1:
    image: confluentinc/cp-kafka:7.3.2
    ports:
      - "9092:9092"
      - "29092:29092"
    environment:
      KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka1:19092,EXTERNAL://${DOCKER_HOST_IP:-127.0.0.1}:9092,DOCKER://host.docker.internal:29092
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT,DOCKER:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL
      KAFKA_ZOOKEEPER_CONNECT: "zoo1:2181"
      KAFKA_BROKER_ID: 1
      KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO"
      KAFKA_AUTHORIZER_CLASS_NAME: kafka.security.authorizer.AclAuthorizer
      KAFKA_ALLOW_EVERYONE_IF_NO_ACL_FOUND: "true"
    networks:
      - kafka-network
      - all-network

  kafka2:
    image: confluentinc/cp-kafka:7.3.2
    ports:
      - "9093:9093"
      - "29093:29093"
    environment:
      KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka2:19093,EXTERNAL://${DOCKER_HOST_IP:-127.0.0.1}:9093,DOCKER://host.docker.internal:29093
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT,DOCKER:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL
      KAFKA_ZOOKEEPER_CONNECT: "zoo1:2181"
      KAFKA_BROKER_ID: 2
      KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO"
      KAFKA_AUTHORIZER_CLASS_NAME: kafka.security.authorizer.AclAuthorizer
      KAFKA_ALLOW_EVERYONE_IF_NO_ACL_FOUND: "true"
    networks:
      - kafka-network
      - all-network

  kafka3:
    image: confluentinc/cp-kafka:7.3.2
    ports:
      - "9094:9094"
      - "29094:29094"
    environment:
      KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka3:19094,EXTERNAL://${DOCKER_HOST_IP:-127.0.0.1}:9094,DOCKER://host.docker.internal:29094
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT,DOCKER:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL
      KAFKA_ZOOKEEPER_CONNECT: "zoo1:2181"
      KAFKA_BROKER_ID: 3
      KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO"
      KAFKA_AUTHORIZER_CLASS_NAME: kafka.security.authorizer.AclAuthorizer
      KAFKA_ALLOW_EVERYONE_IF_NO_ACL_FOUND: "true"
    networks:
      - kafka-network
      - all-network

  kafka-connect:
    image: confluentinc/cp-kafka-connect:7.3.2
    ports:
      - "8083:8083"
    environment:
      CONNECT_BOOTSTRAP_SERVERS: kafka1:19092,kafka2:19093,kafka3:19094
      CONNECT_REST_PORT: 8083
      CONNECT_GROUP_ID: compose-connect-group
      CONNECT_CONFIG_STORAGE_TOPIC: compose-connect-configs
      CONNECT_OFFSET_STORAGE_TOPIC: compose-connect-offsets
      CONNECT_STATUS_STORAGE_TOPIC: compose-connect-status
      CONNECT_KEY_CONVERTER: org.apache.kafka.connect.storage.StringConverter
      CONNECT_VALUE_CONVERTER: org.apache.kafka.connect.storage.StringConverter
      CONNECT_INTERNAL_KEY_CONVERTER: "org.apache.kafka.connect.json.JsonConverter"
      CONNECT_INTERNAL_VALUE_CONVERTER: "org.apache.kafka.connect.json.JsonConverter"
      CONNECT_REST_ADVERTISED_HOST_NAME: 'kafka-connect'
      CONNECT_LOG4J_ROOT_LOGLEVEL: 'INFO'
      CONNECT_LOG4J_LOGGERS: 'org.apache.kafka.connect.runtime.rest=WARN,org.reflections=ERROR'
      CONNECT_PLUGIN_PATH: '/usr/share/java,/usr/share/confluent-hub-components'
    networks:
      - kafka-network
      - all-network

  schema-registry:
    image: confluentinc/cp-schema-registry:7.3.2
    ports:
      - "8081:8081"
    environment:
      SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: kafka1:19092,kafka2:19093,kafka3:19094
      SCHEMA_REGISTRY_HOST_NAME: schema-registry
      SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081
    networks:
      - kafka-network
      - all-network

  kafka-ui:
    container_name: kafka-ui
    image: provectuslabs/kafka-ui:latest
    ports:
      - 8888:8080
    depends_on:
      - kafka1
      - kafka2
      - kafka3
      - schema-registry
      - kafka-connect
    environment:
      KAFKA_CLUSTERS_0_NAME: local
      KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS: PLAINTEXT://kafka1:19092,PLAINTEXT_HOST://kafka1:19092
      KAFKA_CLUSTERS_0_SCHEMAREGISTRY: http://schema-registry:8081
      KAFKA_CLUSTERS_0_KAFKACONNECT_0_NAME: connect
      KAFKA_CLUSTERS_0_KAFKACONNECT_0_ADDRESS: http://kafka-connect:8083
      DYNAMIC_CONFIG_ENABLED: 'true'
    networks:
      - kafka-network
      - all-network

  db:
    image: mysql:8.0
    container_name: mysql
    restart: always
    environment:
      MYSQL_DATABASE: mysql
      MYSQL_USER: mysql
      MYSQL_PASSWORD: mysql
      MYSQL_ROOT_PASSWORD: mysql
    ports:
      - '3306:3306'
    volumes:
      - my-db:/var/lib/mysql
    networks:
      - all-network

  metabase-app:
    image: metabase/metabase
    container_name: metabase
    restart: always
    ports:
      - 3000:3000
    volumes:
      - ./metabase-data:/metabase-data
    environment:
      MB_DB_TYPE: mysql
      MB_DB_DBNAME: mysql
      MB_DB_PORT: 3306
      MB_DB_USER: mysql
      MB_DB_PASS: "mysql"
      MB_DB_HOST: mysql
    depends_on:
      - db
    links:
      - db
    networks:
      - all-network

  phpmyadmin:
    image: phpmyadmin/phpmyadmin:latest
    container_name: metabase_pma
    links:
      - db
    environment:
      PMA_HOST: db
      PMA_PORT: 3306
      PMA_ARBITRARY: 1
    restart: always
    ports:
      - 8185:80
    networks:
      - all-network

volumes:
  my-db:

networks:
  kafka-network:
    driver: bridge
  all-network:
    external: true