Airflow failed task. Callbacks ¶ A valuable component of logging and monitoring is the use of task callbacks to act upon changes in state of a given Dag or task, or across all tasks in a given Dag. For example, you may wish to alert when certain tasks have failed, or invoke a callback when your Dag succeeds. If a task instance’s heartbeat times out, it will be marked failed by the scheduler. hooks. Learn how to retry tasks on failure in Airflow with this step-by-step guide. What's the best way to have a task execute at the end of the DAG, once all other tasks have completed (success or fail)? Airflow executes tasks of a Dag on different servers in case you are using Kubernetes executor or Celery executor. Sep 13, 2023 · Apache Airflow version 2. Some tasks are stuc Sep 29, 2024 · 5. By default, Airflow runs a task when all directly upstream tasks are successful using the trigger rule on_success. Is there a way to "retry all" on these? What I want essentially is to be able to "clear existing tasks" on all of these (causing the scheduler to rerun). This guide covers how to configure Airflow to retry tasks, how to set the retry criteria, and how to handle failed tasks. Feb 9, 2022 · Apache Airflow version 2. 2. SubprocessHook - always all environment variables are passed to the subprocess executed with specific set of environment variables. It's pretty old, still work on `main` branch and ⚠️ might use something whi… The scheduler will mark a task as failed if the task has been queued for longer than scheduler. You will explore core Airflow functionalities, including task failure simulation, retry configuration, and workflow continuation strategies, which are essential for building fault-tolerant data pipelines Purpose of Task Instances and States Task instances serve as the runtime representation of tasks, enabling Airflow to manage, execute, and track individual task runs within a DAG. , network issues, temporary API outages). Each instance is uniquely identified by its dag_id, task_id, and execution_date, ensuring precise scheduling and state tracking across potentially thousands of runs. Apr 7, 2017 · If you want to rerun all the subtasks of the failed tasks, there is an easier way than the accepted answer especially if you have multiple tasks you want to rerun. Airflow is a popular workflow orchestration tool. Because list of all upstream tasks that failed for this particular DAG run. Note that the attempt could have resulted in failure or have been interrupted; or perhaps never run at all (skip, or upstream_failed) in any case, it is no longer running. dagbag_import_timeout and dag_processor. Mastering this method will make your pipeline recovery process significantly smoother! Key Points of This Article. standard. See (slightly redacte Is there a way to prevent airflow from retrying the task if retries are set? For example, there are some errors that you don't want/need to retry, such as invalid input related errors. This info you see it in the airflow interface directly, all dags that failed are red. Oct 12, 2025 · In this article, we'll dive deep into a smart way to rerun only specific failed tasks while preserving their dependencies. Callbacks set in the Dag definition will Sep 27, 2023 · How to Get Failed Airflow DAGs in the Last 24 Hours using Airflow Rest API Airflow is a powerful platform for programmatically authoring, scheduling, and monitoring workflows. Whether you’re running commands with BashOperator, executing Python logic with PythonOperator, or integrating with systems like Jun 12, 2018 · On the Airflow UI if you have a task that fails is it possible to view logs specific to that task from within the UI? Airflow Clear Task Programmatically Airflow is a popular open-source workflow orchestration tool that allows you to programmatically author, schedule, and monitor workflows. It allows you to Jul 17, 2023 · In my Airflow GUI I see: The large number of failed runs are due to an issue importing a particular python module. Jul 31, 2023 · In the simplest terms, a retry in Airflow occurs when a task execution fails, and the system attempts to execute the task again. We’ll provide step-by-step instructions where processes are involved and include practical examples to illustrate each concept clearly. subprocess. Sep 16, 2022 · I not sure about what you are asking. However, no matter how well you design your directed acyclic graphs (DAGs) … When Sentry is enabled, by default it changes the standard library to pass all environment variables to subprocesses opened by Airflow. Ideally, a task should flow from none, to scheduled, to queued, to running, and finally to success. This changes the default behaviour of airflow. dag_file_processor_timeout. If I clear the tasks, it will then run successfully. Feb 2, 2024 · Failure Handling in Apache Airflow DAGs Apache Airflow is a powerful tool for orchestrating complex data pipelines. Therefore, you should not store any file or config in the local filesystem as the next task is likely to run on a different server without access to it — for example, a task that downloads the data file that the next task processes. Enable Task Retries Airflow has built-in retry mechanisms that can help automatically recover from transient errors (e. Jun 5, 2017 · However, some of the tasks in the parallel set fail occasionally, and I can't get the scaleDown task to run when any of the A-C tasks fail. up_for_retry: The task failed, but has retry attempts left and will be rescheduled. task_queued_timeout. . See (slightly redacte Jun 18, 2022 · When airflow dag run fails because of a task, it should call the failure callback with the context of the failed task, so this code will be enough: def fail_notifier(context): Apr 7, 2025 · Understanding Task Logging and Monitoring in Apache Airflow In Apache Airflow, task logging and monitoring encompass the processes of capturing, storing, and reviewing logs generated by task instances—specific runs of tasks for an execution_date —within a DAG, those Python scripts that define your workflows (Introduction to DAGs in Airflow). If a task’s Dag failed to parse on the worker, the scheduler may mark the task as failed. A list of states indicating a task has reached a terminal state (i. Oct 8, 2024 · This code snippet demonstrates how to restart a failed task in Airflow programmatically. States indicate the current status of a task Apache Airflow version 2. I fixed the bug that caused some tasks to fail and I would like to re-run ONLY FAILED TAS Oct 5, 2025 · This lab introduces you to the fundamentals of handling task failures and implementing retry strategies in Apache Airflow, a key technique for ensuring workflow resilience and stability. Dec 27, 2018 · I have a Apache Airflow DAG with tens of thousands of tasks and after a run, say a handful of them failed. 7. This strategy is powerful for managing transient failures, such as temporary network disruptions or third-party service downtime. e. 3 (latest released) What happened I often have tasks failing in Airflow and no logs are produced. Jul 26, 2024 · Introduction to Airflow Trigger Rules The core purpose of Airflow is to orchestrate tasks and every single task in Airflow has a trigger rule assigned. g. If confirmed, consider increasing core. It creates an instance of the Airflow API client and calls the `restart_task` method with the DAG ID, task ID, and execution date as parameters. it has “finished”) and needs no further action. Apache Airflow Task Retries and Retry Delays: A Comprehensive Guide Apache Airflow is a leading open-source platform for orchestrating workflows, and task retries and retry delays are critical features for ensuring reliability within Directed Acyclic Graphs (DAGs). Hosted on SparkCodeHub, this comprehensive guide explores task failure handling in Apache Airflow—its purpose, configuration, key features, and best practices for robust workflow management. The key to solving this problem is a feature in the Airflow UI called "Clear". How to configure retries, catchup, backfill, and clear task instances in Airflow. A user marked the task as successful or failed in the Airflow UI. One of the most common tasks that you may need to perform in Airflow is clearing a task. There are three different places where callbacks can be defined. you want to know how many fail? Run all_success even if one fail?. providers. 1 What happened When running a dag, a task's logs will show that it ran successfully, and completed without error, but the task is marked as failed. Sep 14, 2023 · I used some custom operator as last step in complex DAGs or on DAG's leaf which check upstream task and failed with appropriate message. Always configure retries with Task retries and delays configure Airflow to automatically retry failed tasks, providing a simple recovery mechanism for transient errors like network timeouts. rdfqxlhjibmgylbepue9wfxlzs0pnbrczlwns25mq9robog2tyted