6/8/2023 0 Comments Airflow xcomA DAG also can be manually triggered in the GUI or via Command Line, in the Graph tab of the Webserver it is possible to see the run in realtime when the DAG is triggered:Įach task produces its own log every run, the log of a task can be accessed by clicking a task in the graph: Check the Official Documentation for more schedule intervals details. Some accepted intervals are Also as CRON patterns: 0 0 1 * * (monthly at midnight of day 1), 30 18 * 6-12 MON-FRI (at 18:30 on every day-of-week from Monday through Friday in every month from June through December). When a DAG is created, an interval between the runs is defined in the schedule_interval variable. configure PostgreSQL, AWS, Azure, MongoDB, Google Cloud (and much, much more) external connections Īs the Airflow Scheduler constantly compiles DAGs into the internal Airflow's database, broken DAGs, missing scheduler and other critical errors will appear in the GUI landing page:Ī DAG will be triggered as defined in it's code. follow the logs of a task run individually manually trigger DAGs, pause or delete them easily find important information about the DAG and tasks runs The Webserver, although it's not necessary to the Airflow's operation, will work as an endpoint for the user to manage and follow the pipeline for each DAG. The Webserver's first page is the login page, the Users are defined in airflow.cfg and created during the Docker build of EpiGraphHub, more information about user configuration can be found in Airflow's Official Documentation. The Airflow Webserver is the GUI of Airflow.
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