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gitignore so that is local (not added to git). # and uncomment the "build" line below, Then run `docker-compose build` to build the images. # Comment the image line, place your Dockerfile in the directory where you placed the docker-compose.yaml # In order to add custom dependencies or upgrade provider packages you can use your extended image. # Feel free to modify this file to suit your needs. # _PIP_ADDITIONAL_REQUIREMENTS - Additional PIP requirements to add when starting all containers. # _AIRFLOW_WWW_USER_PASSWORD - Password for the administrator account (if requested). # _AIRFLOW_WWW_USER_USERNAME - Username for the administrator account (if requested). # Those configurations are useful mostly in case of standalone testing/running Airflow in test/try-out mode # AIRFLOW_GID - Group ID in Airflow containers # AIRFLOW_UID - User ID in Airflow containers # AIRFLOW_IMAGE_NAME - Docker image name used to run Airflow. # This configuration supports basic configuration using environment variables or an. Do not use it in a production deployment. # WARNING: This configuration is for local development. # Basic Airflow cluster configuration for CeleryExecutor with Redis and PostgreSQL. # specific language governing permissions and limitations # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # software distributed under the License is distributed on an

# Unless required by applicable law or agreed to in writing, # "License") you may not use this file except in compliance # to you under the Apache License, Version 2.0 (the # distributed with this work for additional information # or more contributor license agreements. My docker-compose.yaml file: # Licensed to the Apache Software Foundation (ASF) under one and EXPORT VARIABLE inside the docker-compose.yaml file? I know that I can establish a connection using AIRFLOW_CONN_. I would like to know if it is possible to set my connections and variables in this file.

I'm using the docker-compose.yaml file available on Airflow website. I'm creating a dev environment to use airflow for testing.
