12/25/2023 0 Comments Airflow 2.0 keyIn other words, if the fileĭoes not appear on the SFTP server within 3600 seconds, the sensor will raise AirflowSensorTimeout. The sensor is allowed maximum 3600 seconds as defined by timeout. It can retry up to 2 times as defined by retries.įrom the start of the first execution, till it eventually succeeds (i.e. The sensor is allowed to retry when this happens. If it takes the sensor more than 60 seconds to poke the SFTP server, AirflowTaskTimeout will be raised. Is periodically executed and rescheduled until it succeeds.Įach time the sensor pokes the SFTP server, it is allowed to take maximum 60 seconds as defined by execution_timeout. The sensor is in reschedule mode, meaning it The following SFTPSensor example illustrates this. If timeout is breached, AirflowSensorTimeout will be raised and the sensor fails immediately This only matters for sensors in reschedule mode. In addition, sensors have a timeout parameter. If execution_timeout is breached, the task times out and Maximum time allowed for every execution. This applies to all Airflow tasks, including sensors. If you want a task to have a maximum runtime, set its execution_timeout attribute to a datetime.timedelta value When any custom Task (Operator) is running, it will get a copy of the task instance passed to it as well as being able to inspect task metadata, it also contains methods for things like XComs. Ideally, a task should flow from none, to scheduled, to queued, to running, and finally to success. Removed: The task has vanished from the DAG since the run started Up_for_reschedule: The task is a Sensor that is in reschedule modeĭeferred: The task has been deferred to a trigger Up_for_retry: The task failed, but has retry attempts left and will be rescheduled. Upstream_failed: An upstream task failed and the Trigger Rule says we needed it Skipped: The task was skipped due to branching, LatestOnly, or similar. Restarting: The task was externally requested to restart when it was runningįailed: The task had an error during execution and failed to run Success: The task finished running without errors Running: The task is running on a worker (or on a local/synchronous executor) Queued: The task has been assigned to an Executor and is awaiting a worker Scheduled: The scheduler has determined the Task’s dependencies are met and it should run None: The Task has not yet been queued for execution (its dependencies are not yet met) The possible states for a Task Instance are: They are also the representation of a Task that has state, representing what stage of the lifecycle it is in. Much in the same way that a DAG is instantiated into a DAG Run each time it runs, the tasks under a DAG are instantiated into Task Instances.Īn instance of a Task is a specific run of that task for a given DAG (and thus for a given data interval).
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