![]() ![]() Sensors have a parameter called timeout which specifies the maximum amount of time, in seconds, that the sensor should wait for the condition to be met. In Apache Airflow, a sensor is a type of operator that waits for a certain condition to be met. ![]() The task will be killed when the execution reaches the timeout and the task is being checked by the worker, which may not be immediate. It's important to note that execution_timeout is not a guarantee that your task will be killed exactly at the timeout. In this example, if task1 runs for more than 5 minutes, it will be terminated and marked as failed. Here is an example of how to set execution_timeout for a task: from datetime import timedelta If a task runs longer than the specified execution_timeout, Airflow will raise an AirflowTaskTimeout exception and the task will be marked as failed. In Apache Airflow, the execution_timeout parameter is used to limit the execution time of a task. In summary, while both execution_timeout and timeout parameters are used to limit the duration of task execution, execution_timeout is used at the task level for any type of task, while timeout is specific to BashOperator and PythonOperator tasks.įor more information, you can refer to the Apache Airflow documentation. Timeout=3, # command is allowed to run for 3 seconds Here's an example of how to set timeout for a BashOperator task: from airflow import DAGįrom _operator import BashOperatorīash_command='sleep 5', # this command will be killed if it runs for more than 3 seconds If the command or function runs for longer than the specified duration, it will be killed. It also specifies the maximum amount of time that the task can run for, but it is specific to the execution of the bash command or Python function, respectively. On the other hand, timeout is a parameter used in the BashOperator and PythonOperator. Here's an example of how to set execution_timeout for a task: from datetime import timedeltaįrom _operator import DummyOperatorĭag = DAG('my_dag', start_date=datetime(2022, 1, 1))Įxecution_timeout=timedelta(minutes=30), # task is allowed to run for 30 minutes If the task runs for longer than the specified duration, Airflow will automatically terminate it. It specifies the maximum amount of time, as a timedelta object, that the task can run for. Execution TimeoutĮxecution_timeout is a parameter that can be set at the task level in an Airflow DAG (Directed Acyclic Graph). In Apache Airflow, both execution_timeout and timeout parameters are used to control the duration of task execution, but they are used in different contexts and have different implications. ![]()
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