Configuring Airflow¶

All Airflow configuration parameters (equivalent of airflow.cfg) are stored in values.yaml under the config key . The following code demonstrates how one would allow webserver users to view the config from within the webserver application. See the bottom line of the example:

# Config settings to go into the mounted airflow.cfg
#
# Please note that these values are passed through the ``tpl`` function, so are
# all subject to being rendered as go templates. If you need to include a
# literal ``{{`` in a value, it must be expressed like this:
#
#    a: '{{ "{{ not a template }}" }}'
#
# yamllint disable rule:line-length
config:
  core:
    dags_folder: '{{ include "airflow_dags" . }}'
    load_examples: 'False'   # <<<<<<<< This is ignored when used with the official Docker image, see below on how to load examples
    executor: '{{ .Values.executor }}'
    # For Airflow 1.10, backward compatibility
    colored_console_log: 'False'
    remote_logging: '{{- ternary "True" "False" .Values.elasticsearch.enabled }}'
  # Authentication backend used for the experimental API
  api:
    auth_backend: airflow.api.auth.backend.deny_all
  logging:
    remote_logging: '{{- ternary "True" "False" .Values.elasticsearch.enabled }}'
    colored_console_log: 'False'
  metrics:
    statsd_on: '{{ ternary "True" "False" .Values.statsd.enabled }}'
    statsd_port: 9125
    statsd_prefix: airflow
    statsd_host: '{{ printf "%s-statsd" .Release.Name }}'
  webserver:
    enable_proxy_fix: 'True'
    expose_config: 'True'   # <<<<<<<<<< BY DEFAULT THIS IS 'False' BUT WE CHANGE IT TO 'True' PRIOR TO INSTALLING THE CHART

Generally speaking, it is useful to familiarize oneself with the Airflow configuration prior to installing and deploying the service.

Note

The recommended way to load example DAGs using the official Docker image and chart is to configure the AIRFLOW__CORE__LOAD_EXAMPLES environment variable in extraEnv (see Parameters reference). Because the official Docker image has AIRFLOW__CORE__LOAD_EXAMPLES=False set within the image, so you need to override it when deploying the chart.