![]() ![]() ![]() Run docker-compose up to start Airflow, docker-compose should build your image automatically from Dockerfile. Your project directory at this moment should look like this: airflow-project Paste to docker-compose.yaml code, which you can find in the official documentation. Paste to Dockefile code below: FROM apache/airflow:2.1.0 Put Dockerfile, docker-compose.yaml and requirements.txt files to the project directory I will try to explain this solution in more details The only way now to install extra python packages to build your own image. Successfully installed more-itertools-8.2.0 packaging-20.3 pluggy-0.13.1 py-1.8.1 pyparsing-2.4.7 pytest-5.4.1 wcwidth-0.1.Got the answer at airflow GitHub discussions. WARNING: The scripts py.test and pytest are installed in '/usr/local/airflow/.local/bin' which is not on PATH.Ĭonsider adding this directory to PATH or, if you prefer to suppress this warning, use -no-warn-script-location. Installing collected packages: more-itertools, wcwidth, pyparsing, packaging, pluggy, py, pytest Most importantly the scheduler, the webserver, the metadatabase (postgreSQL), and the airflow-init job initializing the database. |████████████████████████████████| 67 kB 624 kB/s The above docker-compose file simply specifies the required services we need to get Airflow up and running. Requirement already satisfied: six in /usr/local/lib/python3.7/site-packages (from packaging->pytest->-r /requirements.txt (line 1)) (1.14.0)ĭownloading pyparsing-2.4.7-py2.p圓-none-any.whl (67 kB) 2 days ago &0183 &32 Below is what I have currently in the DockerFile: Base image FROM apache/airflow:2.6.1. Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/site-packages (from importlib-metadata>=0.12 python_version pytest->-r /requirements.txt (line 1)) (2.2.0) Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.7/site-packages (from pytest->-r /requirements.txt (line 1)) (19.3.0) Requirement already satisfied: importlib-metadata>=0.12 python_version -r /requirements.txt (line 1)) (1.5.0)ĭownloading 圓-none-any.whl (37 kB)ĭownloading pluggy-0.13.1-py2.p圓-none-any.whl (18 kB)ĭownloading py-1.8.1-py2.p圓-none-any.whl (83 kB) curl -LfO ' This file contains several service definitions: airflow-scheduler - The scheduler monitors all tasks and DAGs, then triggers the task instances once their dependencies are complete. doneĭownloading pytest-5.4.1-p圓-none-any.whl (246 kB) To deploy Airflow on Docker Compose, you should fetch docker-compose.yaml. Starting airflow-on-docker-compose_postgres_1. Let's edit our first DAG: dags/dummy_dag.py we share our dags/test/plugins directories with the host so we can just edit our code on our local machine and run all the tests in container.we will use postgres instance running as another docker container.we allow to pass custom environment variables straight from the dotenv file (best practice is not include it in the files).Test: "]Īs you can see we have several things there: ![]()
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