Modification Airflow
This commit is contained in:
340
Airflow/docker-compose-traefik.yml
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340
Airflow/docker-compose-traefik.yml
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# AIRFLOW_IMAGE_NAME - Docker image name used to run Airflow.
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# Default: apache/airflow:2.8.4
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# AIRFLOW_UID - User ID in Airflow containers
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# Default: 50000
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# AIRFLOW_PROJ_DIR - Base path to which all the files will be volumed.
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# Default: .
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# Those configurations are useful mostly in case of standalone testing/running Airflow in test/try-out mode
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#
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# _AIRFLOW_WWW_USER_USERNAME - Username for the administrator account (if requested).
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# Default: airflow
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# _AIRFLOW_WWW_USER_PASSWORD - Password for the administrator account (if requested).
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# Default: airflow
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# _PIP_ADDITIONAL_REQUIREMENTS - Additional PIP requirements to add when starting all containers.
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# Use this option ONLY for quick checks. Installing requirements at container
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# startup is done EVERY TIME the service is started.
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# A better way is to build a custom image or extend the official image
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# as described in https://airflow.apache.org/docs/docker-stack/build.html.
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# Default: ''
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#
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# Feel free to modify this file to suit your needs.
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---
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#### NETWORKS
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networks:
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docker-traefik_front_network:
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external: true
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back_network:
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driver: bridge
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attachable: true
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x-airflow-common:
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&airflow-common
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# In order to add custom dependencies or upgrade provider packages you can use your extended image.
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# Comment the image line, place your Dockerfile in the directory where you placed the docker-compose.yaml
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# and uncomment the "build" line below, Then run `docker-compose build` to build the images.
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image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.8.4}
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# build: .
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environment:
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&airflow-common-env
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AIRFLOW__CORE__EXECUTOR: CeleryExecutor
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AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
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AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow
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AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0
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AIRFLOW__CORE__FERNET_KEY: ''
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AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
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AIRFLOW__CORE__LOAD_EXAMPLES: 'true'
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AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session'
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AIRFLOW__SCHEDULER__STATSD_ON: 'true'
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AIRFLOW__SCHEDULER__STATSD_HOST: statsd-exporter
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AIRFLOW__SCHEDULER__STATSD_PORT: 9125
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AIRFLOW__SCHEDULER__STATSD_PREFIX: airflow
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# yamllint disable rule:line-length
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# Use simple http server on scheduler for health checks
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# See https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/check-health.html#scheduler-health-check-server
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# yamllint enable rule:line-length
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AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true'
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# WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks
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# for other purpose (development, test and especially production usage) build/extend Airflow image.
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_PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-}
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volumes:
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- ${AIRFLOW_PROJ_DIR:-.}/dags:/opt/airflow/dags
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- ${AIRFLOW_PROJ_DIR:-.}/logs:/opt/airflow/logs
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- ${AIRFLOW_PROJ_DIR:-.}/config:/opt/airflow/config
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- ${AIRFLOW_PROJ_DIR:-.}/plugins:/opt/airflow/plugins
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user: "${AIRFLOW_UID:-50000}:0"
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depends_on:
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&airflow-common-depends-on
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redis:
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condition: service_healthy
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postgres:
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condition: service_healthy
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#### SERVICES
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services:
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### postgres
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postgres:
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container_name: airflow-postgres
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hostname: airflow-postgres
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image: postgres:15.6-alpine
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environment:
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PGDATA: ${POSTGRES_PATH}
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POSTGRES_USER: ${POSTGRES_USER}
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
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POSTGRES_DB: ${POSTGRES_DB}
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POSTGRES_PORT: ${POSTGRES_PORT}
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TZ: Europe/Paris
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volumes:
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- ./data:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD", "pg_isready", "-U", "$${POSTGRES_USER}"]
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interval: 10s
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retries: 5
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start_period: 5s
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restart: always
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networks:
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- back_network
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### redis
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redis:
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container_name: airflow-redis
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hostname: airflow-redis
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image: redis:latest
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expose:
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- 6379
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 10s
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timeout: 30s
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retries: 50
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start_period: 30s
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restart: always
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networks:
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- back_network
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### airflow-webserver
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airflow-webserver:
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<<: *airflow-common
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command: webserver
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healthcheck:
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test: ["CMD", "curl", "--fail", "http://airflow.fr.dgs.group/health"]
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interval: 30s
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timeout: 10s
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retries: 5
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start_period: 30s
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restart: always
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depends_on:
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<<: *airflow-common-depends-on
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airflow-init:
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condition: service_completed_successfully
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networks:
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- docker-traefik_front_network
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- back_network
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labels:
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- "traefik.enable=true"
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- "traefik.docker.network=docker-traefik_front_network"
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# HTTP
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- "traefik.http.routers.airflow-http.rule=Host(`airflow.fr.dgs.group`)"
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- "traefik.http.routers.airflow-http.entrypoints=http"
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# HTTPS
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- "traefik.http.routers.airflow-https.rule=Host(`airflow.fr.dgs.group`)"
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- "traefik.http.routers.airflow-https.entrypoints=https"
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- "traefik.http.routers.airflow-https.service=airflow-service"
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- "traefik.http.routers.airflow-https.tls=true"
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# Middleware
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# Service
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- "traefik.http.services.airflow-service.loadbalancer.server.port=8080"
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### airflow-scheduler
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airflow-scheduler:
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<<: *airflow-common
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command: scheduler
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healthcheck:
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test: ["CMD", "curl", "--fail", "http://localhost:8974/health"]
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interval: 30s
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timeout: 10s
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retries: 5
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start_period: 30s
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restart: always
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depends_on:
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<<: *airflow-common-depends-on
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airflow-init:
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condition: service_completed_successfully
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networks:
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- docker-traefik_front_network
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- back_network
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### airflow-worker
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airflow-worker:
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<<: *airflow-common
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command: celery worker
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healthcheck:
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# yamllint disable rule:line-length
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test:
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- "CMD-SHELL"
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- '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@$${HOSTNAME}"'
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interval: 30s
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timeout: 10s
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retries: 5
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start_period: 30s
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environment:
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<<: *airflow-common-env
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# Required to handle warm shutdown of the celery workers properly
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# See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation
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DUMB_INIT_SETSID: "0"
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restart: always
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depends_on:
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<<: *airflow-common-depends-on
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airflow-init:
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condition: service_completed_successfully
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networks:
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- docker-traefik_front_network
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- back_network
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### airflow-triggerer
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airflow-triggerer:
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<<: *airflow-common
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command: triggerer
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healthcheck:
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test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"']
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interval: 30s
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timeout: 10s
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retries: 5
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start_period: 30s
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restart: always
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depends_on:
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<<: *airflow-common-depends-on
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airflow-init:
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condition: service_completed_successfully
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networks:
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- docker-traefik_front_network
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- back_network
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### airflow-init
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airflow-init:
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<<: *airflow-common
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entrypoint: /bin/bash
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# yamllint disable rule:line-length
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command:
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- -c
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- |
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if [[ -z "${AIRFLOW_UID}" ]]; then
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echo
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echo -e "\033[1;33mWARNING!!!: AIRFLOW_UID not set!\e[0m"
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echo "If you are on Linux, you SHOULD follow the instructions below to set "
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echo "AIRFLOW_UID environment variable, otherwise files will be owned by root."
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echo "For other operating systems you can get rid of the warning with manually created .env file:"
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echo " See: https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#setting-the-right-airflow-user"
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echo
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fi
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one_meg=1048576
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mem_available=$$(($$(getconf _PHYS_PAGES) * $$(getconf PAGE_SIZE) / one_meg))
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cpus_available=$$(grep -cE 'cpu[0-9]+' /proc/stat)
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disk_available=$$(df / | tail -1 | awk '{print $$4}')
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warning_resources="false"
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if (( mem_available < 4000 )) ; then
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echo
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echo -e "\033[1;33mWARNING!!!: Not enough memory available for Docker.\e[0m"
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echo "At least 4GB of memory required. You have $$(numfmt --to iec $$((mem_available * one_meg)))"
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echo
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warning_resources="true"
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fi
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if (( cpus_available < 2 )); then
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echo
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echo -e "\033[1;33mWARNING!!!: Not enough CPUS available for Docker.\e[0m"
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echo "At least 2 CPUs recommended. You have $${cpus_available}"
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echo
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warning_resources="true"
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fi
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if (( disk_available < one_meg * 10 )); then
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echo
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echo -e "\033[1;33mWARNING!!!: Not enough Disk space available for Docker.\e[0m"
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echo "At least 10 GBs recommended. You have $$(numfmt --to iec $$((disk_available * 1024 )))"
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echo
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warning_resources="true"
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fi
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if [[ $${warning_resources} == "true" ]]; then
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echo
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echo -e "\033[1;33mWARNING!!!: You have not enough resources to run Airflow (see above)!\e[0m"
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echo "Please follow the instructions to increase amount of resources available:"
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echo " https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#before-you-begin"
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echo
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fi
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mkdir -p /sources/logs /sources/dags /sources/plugins
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chown -R "${AIRFLOW_UID}:0" /sources/{logs,dags,plugins}
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exec /entrypoint airflow version
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# yamllint enable rule:line-length
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environment:
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<<: *airflow-common-env
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_AIRFLOW_DB_MIGRATE: 'true'
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_AIRFLOW_WWW_USER_CREATE: 'true'
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_AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
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_AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
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_PIP_ADDITIONAL_REQUIREMENTS: ''
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user: "0:0"
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volumes:
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- ${AIRFLOW_PROJ_DIR:-.}:/sources
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networks:
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- docker-traefik_front_network
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- back_network
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### airflow-cli
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airflow-cli:
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<<: *airflow-common
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profiles:
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- debug
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environment:
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||||||
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<<: *airflow-common-env
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CONNECTION_CHECK_MAX_COUNT: "0"
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||||||
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# Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252
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command:
|
||||||
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- bash
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||||||
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- -c
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||||||
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- airflow
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||||||
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networks:
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||||||
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- docker-traefik_front_network
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||||||
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- back_network
|
||||||
|
|
||||||
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statsd-exporter:
|
||||||
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container_name: airflow-statsd-exporter
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hostname: airflow-statsd-exporter
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image: prom/statsd-exporter:v0.24.0
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||||||
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volumes:
|
||||||
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- ./statsd/statsd.yaml:/home/statsd-mapping-configs.yaml
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||||||
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entrypoint: ["/bin/sh", "-c", "--"]
|
||||||
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command: ["statsd_exporter --statsd.listen-udp=:9125 --web.listen-address=:9102 --log.level debug --statsd.mapping-config=/home/statsd-mapping-configs.yaml"]
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ports:
|
||||||
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- 9102:9102
|
||||||
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- 9125:9125
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||||||
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expose:
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||||||
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- 9125/udp
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||||||
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restart: always
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||||||
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networks:
|
||||||
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- docker-traefik_front_network
|
||||||
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- back_network
|
||||||
|
|
||||||
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# You can enable flower by adding "--profile flower" option e.g. docker-compose --profile flower up
|
||||||
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# or by explicitly targeted on the command line e.g. docker-compose up flower.
|
||||||
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# See: https://docs.docker.com/compose/profiles/
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||||||
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### flower
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||||||
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flower:
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||||||
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<<: *airflow-common
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||||||
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command: celery flower
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||||||
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profiles:
|
||||||
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- flower
|
||||||
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ports:
|
||||||
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- "5555:5555"
|
||||||
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healthcheck:
|
||||||
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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:
|
||||||
|
- docker-traefik_front_network
|
||||||
|
- back_network
|
||||||
@@ -116,10 +116,10 @@ services:
|
|||||||
airflow-webserver:
|
airflow-webserver:
|
||||||
<<: *airflow-common
|
<<: *airflow-common
|
||||||
command: webserver
|
command: webserver
|
||||||
# ports:
|
ports:
|
||||||
# - "8080:8080"
|
- "8080:8080"
|
||||||
healthcheck:
|
healthcheck:
|
||||||
test: ["CMD", "curl", "--fail", "http://airflow.fr.dgs.group/health"]
|
test: ["CMD", "curl", "--fail", "http://localhost:8080/health"]
|
||||||
interval: 30s
|
interval: 30s
|
||||||
timeout: 10s
|
timeout: 10s
|
||||||
retries: 5
|
retries: 5
|
||||||
@@ -132,20 +132,6 @@ services:
|
|||||||
networks:
|
networks:
|
||||||
- docker-traefik_front_network
|
- docker-traefik_front_network
|
||||||
- back_network
|
- back_network
|
||||||
labels:
|
|
||||||
- "traefik.enable=true"
|
|
||||||
- "traefik.docker.network=docker-traefik_front_network"
|
|
||||||
# HTTP
|
|
||||||
- "traefik.http.routers.airflow-http.rule=Host(`airflow.fr.dgs.group`)"
|
|
||||||
- "traefik.http.routers.airflow-http.entrypoints=http"
|
|
||||||
# HTTPS
|
|
||||||
- "traefik.http.routers.airflow-https.rule=Host(`airflow.fr.dgs.group`)"
|
|
||||||
- "traefik.http.routers.airflow-https.entrypoints=https"
|
|
||||||
- "traefik.http.routers.airflow-https.service=airflow-service"
|
|
||||||
- "traefik.http.routers.airflow-https.tls=true"
|
|
||||||
# Middleware
|
|
||||||
# Service
|
|
||||||
- "traefik.http.services.airflow-service.loadbalancer.server.port=8080"
|
|
||||||
|
|
||||||
### airflow-scheduler
|
### airflow-scheduler
|
||||||
airflow-scheduler:
|
airflow-scheduler:
|
||||||
|
|||||||
Reference in New Issue
Block a user