to use Airflow's REST API, to trigger a specific dag (externalĮvent system directly calls airflow's REST API)ī. This will trigger a DAG run for the DAG you specify with a logicaldate. I found a way in the documentation to triggering it from a cloud function. You can trigger a DAG run by executing a POST request to Airflows dagRuns endpoint. Introduction Apache Airflow is designed to run DAGs on a regular schedule, but you can also trigger DAGs in response to events, such as a change in a Cloud Storage bucket or a message pushed. This approach has a downside - it will hold airflow's resources forever, and while it can be good for several lone use case, it's definitely NOT scalalble to use with hundreds of dags.Ī. Wilson Lian i would like to trigger my airflow DAG from a python script. As suggested in the answer by you can run a sensor (there are many supported, HTTP, FTP, FTPS and etc.) in a endless loop in a pre-defined interval (every 30s, every mintute and such.) and when sensor is fired up (task successfully completes), you can trigger a specific dag (with TriggerDagRunOperator).Nervertheless, it's definitely achievable, in multiple ways: Then you can call the connection by matching the _CONN_ID.Īs already mentioned in the question itself, airflow is not an event based triggered system, and it's main paradigm is to do a pre-scheduled batch processing.
This means you can define multiple DAGs per Python file, or even spread one very complex DAG across multiple Python files using imports. It will take each file, execute it, and then load any DAG objects from that file. There are total 6 tasks are there.
Trigger airflow dag from python how to#
Task_id='run_process_with_external_files', Airflow loads DAGs from Python source files, which it looks for inside its configured DAGFOLDER. How to run airflow DAG with conditional tasks. Invoke_lambda_function = AwsLambdaInvokeFunctionOperator( If 'Content-Length' not in recent_header.keys():Ĭonn.hmset("header_dict", current_header) Recent_header = conn.hgetall("header_dict") Key.decode() if isinstance(key, bytes) else key: code() if isinstance(value, bytes) else valueįor key, value in ()Ĭonn = redis.Redis(host='redis', port=6379) """ uses redis to check if a new file is on the server""" In Airflow>2.0 you can do that with the Rest API. """ DAG for operational District heating """įrom .operators.aws_lambda import AwsLambdaInvokeFunctionOperatorįrom .http import HttpSensor In my current example, I am using redis to persist the current file state. The examples are great for learning how to use the Airflow GUI.
HttpSensor works only once during the scheduled time window. To the left of the DAG name, switch the DAG to On. )īut Airflow requires a defined data_interval. The basic concept of Airflow does not allow triggering a Dag on an irregular interval.Īctually, I want to trigger a dag every time a new file is placed on a remote server (like HTTPS, sftp, s3.
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