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x-traefik-label: &traefik-label | ||
traefik.enable: true | ||
traefik.http.routers.{{ param_role_name }}.service: {{ param_role_name }} | ||
traefik.http.services.{{ param_role_name }}.loadbalancer.server.port: 8080 | ||
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x-airflow-common: | ||
&airflow-common | ||
image: apache/airflow:2.10.3 | ||
environment: | ||
&airflow-common-env | ||
AIRFLOW__CORE__EXECUTOR: CeleryExecutor | ||
AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://{{ param_db_pgsql_username }}:{{ param_db_pgsql_password }}@{{ param_db_pgsql_host }}:{{ param_db_pgsql_port }}/airflow | ||
AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://{{ param_db_pgsql_username }}:{{ param_db_pgsql_password }}@{{ param_db_pgsql_host }}:{{ param_db_pgsql_port }}/airflow | ||
AIRFLOW__CELERY__BROKER_URL: redis://:{{ param_db_redis_password }}@{{ param_db_redis_host }}:{{ param_db_redis_port }}/0 | ||
AIRFLOW__CORE__FERNET_KEY: '' | ||
AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true' | ||
AIRFLOW__CORE__LOAD_EXAMPLES: 'true' | ||
AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session' | ||
AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true' | ||
_PIP_ADDITIONAL_REQUIREMENTS: | ||
volumes: | ||
- {{ param_docker_data }}/{{ param_role_name }}/data/dags:/opt/airflow/dags | ||
- {{ param_docker_data }}/{{ param_role_name }}/data/logs:/opt/airflow/logs | ||
- {{ param_docker_data }}/{{ param_role_name }}/data/config:/opt/airflow/config | ||
- {{ param_docker_data }}/{{ param_role_name }}/data/plugins:/opt/airflow/plugins | ||
user: "1000:0" | ||
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services: | ||
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airflow-webserver: | ||
<<: *airflow-common | ||
container_name: airflow-webserver | ||
command: webserver | ||
labels: | ||
<<: *traefik-label | ||
healthcheck: | ||
test: ["CMD", "curl", "--fail", "http://localhost:8080/health"] | ||
interval: 30s | ||
timeout: 10s | ||
retries: 5 | ||
start_period: 30s | ||
restart: always | ||
depends_on: | ||
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airflow-init: | ||
condition: service_completed_successfully | ||
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airflow-scheduler: | ||
<<: *airflow-common | ||
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 | ||
depends_on: | ||
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airflow-init: | ||
condition: service_completed_successfully | ||
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airflow-worker: | ||
<<: *airflow-common | ||
container_name: airflow-worker | ||
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: | ||
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airflow-init: | ||
condition: service_completed_successfully | ||
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airflow-triggerer: | ||
<<: *airflow-common | ||
container_name: airflow-triggerer | ||
command: triggerer | ||
healthcheck: | ||
test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"'] | ||
interval: 30s | ||
timeout: 10s | ||
retries: 5 | ||
start_period: 30s | ||
restart: always | ||
depends_on: | ||
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airflow-init: | ||
condition: service_completed_successfully | ||
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airflow-init: | ||
<<: *airflow-common | ||
container_name: airflow-init | ||
entrypoint: /bin/bash | ||
# yamllint disable rule:line-length | ||
command: | ||
- -c | ||
- | | ||
if [[ -z "${AIRFLOW_UID}" ]]; then | ||
echo | ||
echo -e "\033[1;33mWARNING!!!: AIRFLOW_UID not set!\e[0m" | ||
echo "If you are on Linux, you SHOULD follow the instructions below to set " | ||
echo "AIRFLOW_UID environment variable, otherwise files will be owned by root." | ||
echo "For other operating systems you can get rid of the warning with manually created .env file:" | ||
echo " See: https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#setting-the-right-airflow-user" | ||
echo | ||
fi | ||
one_meg=1048576 | ||
mem_available=$$(($$(getconf _PHYS_PAGES) * $$(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 | ||
# yamllint enable rule:line-length | ||
environment: | ||
<<: *airflow-common-env | ||
_AIRFLOW_DB_MIGRATE: 'true' | ||
_AIRFLOW_WWW_USER_CREATE: 'true' | ||
_AIRFLOW_WWW_USER_USERNAME: '{{ param_manage_username }}' | ||
_AIRFLOW_WWW_USER_PASSWORD: '{{ param_manage_password }}' | ||
_PIP_ADDITIONAL_REQUIREMENTS: '' | ||
user: "0:0" | ||
volumes: | ||
- {{ param_docker_data }}/{{ param_role_name }}/data/:/sources | ||
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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 | ||
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# 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: | ||
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airflow-init: | ||
condition: service_completed_successfully |