43 lines
2.0 KiB
ReStructuredText
43 lines
2.0 KiB
ReStructuredText
.. Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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.. http://www.apache.org/licenses/LICENSE-2.0
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.. Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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Configuring Airflow
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===================
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The Helm Chart allows for setting arbitrary Airflow configuration in values file under the ``config`` key.
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Some of the defaults in the chart may differ from those of core Airflow and can be found in
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`values.yaml <https://github.com/apache/airflow/blob/main/chart/values.yaml>`__.
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As an example of setting arbitrary configuration, the following ``override.yaml`` file demonstrates how one would
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allow Airflow UI users to view the Airflow configuration directly via UI:
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.. code-block:: yaml
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:caption: override.yaml
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config:
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api:
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expose_config: 'True' # by default this is 'False'
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Generally speaking, it is useful to familiarize oneself with the Airflow
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configuration prior to installing and deploying the service.
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.. note::
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The recommended way to load example Dags using the official Docker image and chart is to configure the ``AIRFLOW__CORE__LOAD_EXAMPLES`` environment variable
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in ``extraEnv`` (see :doc:`Parameters reference <parameters-ref>`). The official Docker image has ``AIRFLOW__CORE__LOAD_EXAMPLES=False``
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set within the image, so you need to override it with an environment variable, when deploying the chart, in order for the examples to be present.
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