Airflow scheduler no heartbeat9/27/2023 Job = session.query(SchedulerJob).filter_by(hostname=get_hostname()). In certain scenarios Scheduler receives a heartbeat but the DB does not have a running status for that task. More questions Airflow example DAGs take a long time in GUI and the scheduler is showing this: DagFileProcessorManager (PID.) last sent a heartbeat Mixing. Os.environ = 'ERROR'įrom _job import SchedulerJobįrom import create_sessionįrom import get_hostname Metrics airflow.schedulerheartbeat (count), Scheduler heartbeats (count), Number of currently running DAG parsing processes. Unfortunately, I see my Scheduler getting killed every 15-20 mins due to Liveness probe failing. I am running it in Kubernetes (AKS Azure) with Kubernetes Executor. Official Helm Chart version 1.5.0 (latest released) Apache Airflow version 2.2.4 Kubernetes Version 1.22.2 Helm Chart configuration airflow: executor: 'CeleryExecutor' config: core: defaulttimezon. Please, follow Scheduler troubleshooting instructions to solve these issues. Served by the web server, this health check endpoint is independent of the newer Scheduler Health Check Server, which optionally runs on each scheduler.I have just upgraded my Airflow from 1.10.13 to 2.0. Some DAG executions issues might be caused by the Airflow scheduler not working correctly or optimally. The return code is only indicative of the state of the rest call (200 for success). Please keep in mind that the HTTP response code of /health endpoint should not be used to determine the health Note that the status and latest_triggerer_heartbeat fields in the health check response will be null forĭeployments that do not include a triggerer component. The status of the triggerer behaves exactly like that of the scheduler as described above. The Airflow documentation says that its due to the failure of a periodic heartbeat from tasks and the scheduler considered them as zombies. After the push task has finished executing, we have no more tasks left to. I am running it in Kubernetes (AKS Azure) with Kubernetes Executor. Defining pipelines flexibly in (Python) code 10 Scheduling and executing. 'Exception while trying to heartbeat Sleeping for 5.0 seconds'. I have just upgraded my Airflow from 1.10.13 to 2.0. only one working scheduler is enoughįor the scheduler state to be considered healthy I have an Airflow DAG that has nearly 50 tasks running in parallel. If you run more than one scheduler, only the state of one scheduler will be reported, i.e. This threshold value can be specified using the option scheduler_health_check_threshold within the Simon D at 9:32 I understand that it is not an error message. There must be some other reason that your job is hanging. In most cases this just means that the task will probably be scheduled soon. For the tasks that are not running are showing in queued state (grey icon) when hovering over the task icon operator is null and task details says: All dependencies are met but the task instance is not running. If the last heartbeat was received more than 30 seconds (default value) earlier than the current time, the scheduler is The line INFO - Failing jobs without heartbeat after 06:38:50.339147 is just an info message and states what the scheduler is doing, it is not an error message related to your DAG not running. There are 4 scheduler threads and 4 Celery worker tasks. Set up alerts for metrics You can set up alerts for a metric by clicking the bell icon in the corner of the monitoring card. The status of scheduler depends on when the latest scheduler heartbeat was received The status of metadatabase depends on whether a valid connection can be initiated with the database If the heartbeat detects that a task was marked as success, it cannot distinguish whether the task itself succeeded or that Airflow was told to consider the task successful. The status of each component can be either “healthy” or “unhealthy” Race condition between the heartbeat callback and exit callbacks in the localtaskjob, which monitors the execution of the task.
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