dags:/airflow/dags" airflowdocker/tester Running airflow, dags can import like so from airflow. This package works as an airflow plugin as well. The last task t2, uses the DockerOperator in. The following operator defaults can be set under the airflowdockerįor example, to set force_pull to False by default set the followingĮnvironment variable like so: export AIRFLOW_AIRFLOWDOCKER_FORCE_PULL = false Plugin Tasks t1 and t3 use the BashOperator in order to execute bash commands on the host, not in the Docker container.
Task Code from airflow_docker_helper import client context = client. short_circuit () # This task will short circuit if this function gets called Context Usageĭag Task from airflow_docker.operator import Operator task = Operator ( image = 'some-image:latest', provide_context = True. Task Code from airflow_docker_helper import client client. branch_to_tasks () Short Circuit Operatorĭag Task from airflow_docker.operator import ShortCircuitOperator short_circuit = ShortCircuitOperator ( image = 'some-image:latest'. sensor ( True ) Branch Operatorĭag Task from airflow_docker.operator import BranchOperator branching_task = BranchOperator ( image = 'some-image:latest'.
) Default Sensor from airflow_docker.operator import Sensor sensor = Sensor ( image = 'some-image:latest'. Airflow was developed with four principles in mind, which.
Airflow docker software#
Fast forward to today, hundreds of companies are utilizing Airflow to manage their software engineering, data engineering, ML engineering pipelines. Default Operator from airflow_docker.operator import Operator task = Operator ( image = 'some-image:latest'. Airflow is a workflow management platform developed and open-source by AirBnB in 2014 to help the company manage its complicated workflows. An opinionated implementation of exclusively using airflowĭockerOperators for all Operators.
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