AIRFLOW DOCKER RUN PARAMETERS INSTALL
plugins - you can put your custom plugins here.Īirflow image contains almost enough PIP packages for operating, but we still need to install extra packages such as clickhouse-driver, pandahouse and apache-airflow-providers-slack.Īirflow from 2.1.1 supports ENV _PIP_ADDITIONAL_REQUIREMENTS to add additional requirements when starting all containersĪIRFLOW_CORE_DAGS_ARE_PAUSED_AT_CREATION: 'true'ĪIRFLOW_API_AUTH_BACKEND: '.basic_auth'ĪIRFLOW_CONN_RDB_CONN: 'pandahouse=0.2.7 clickhouse-driver=0.2.1 apache-airflow-providers-slack' logs - contains logs from task execution and scheduler. Some directories in the container are mounted, which means that their contents are synchronized between the services and persistent. redis - The redis - broker that forwards messages from scheduler to worker. It is available at - postgres - The database. flower - The flower app for monitoring the environment. airflow-init - The initialization service. The following environment values are provided to customize. airflow-webserver - The webserver available at - airflow-worker - The worker that executes the tasks given by the scheduler. The Airflow instance can be customized by specifying environment variables on the first run.
airflow-scheduler - The scheduler monitors all tasks and DAGs, then triggers the task instances once their dependencies are complete. The docker-compose.yaml contains several service definitions: Understand airflow parameters in airflow.models.Persistent airflow log, dags, and plugins.For quick set up and start learning Apache Airflow, we will deploy airflow using docker-compose and running on AWS EC2
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