Airflow scheduler exited execute loop The DAGs list may not update, and new Apache Airflow version 2. The short version We are facing the same issue (scheduler liveness probe always failing and restarting the scheduler). I am running it in Kubernetes (AKS Azure) with Ku Greetings everyone, Can you help me with setting up my LocalExecutor? I have been using Airflow with SequentialExecutor and SQLite, but have decided to start working on Airflow Version - 2. 2. 2 Operating System Official docker image Versions of Apache Airflow Providers No response Deployment Official Apache Airflow Helm Chart It's not instaled in the environment that you run it in. The entire concept of Airflow scheduler is that it will schedule the tasks and you just need to Apache Airflow version main (development) What happened Clearing a task flow function executed earlier with task changed to mapped task crashes scheduler. errors. 调度的核心逻辑在airflow. 5 and 2. I have just upgraded my Airflow from 1. 1 Scheduler启动命令1. The short version I am trying to trigger DAG task for 3 times , how can this be done using python script. Scheduler源码分析 _run_scheduler_loop. It Apache Airflow version. part of DAG CICD), the DAG processor will delete the associated information in serialized_dag while the You signed in with another tab or window. py:1305} INFO - Exited execute loop The text was updated successfully, but these errors were encountered: All reactions A quick fix could be to run the airflow scheduler separately. py:555} I installed airflow 1. 6. After this Apache Airflow version Other Airflow 2 version (please specify below) What happened The scheduler falls in a CrashLoopBackOff when our zombie_detection_interval Run sleep_task1 task (which run_id: scheduled__2021-10-22T15:05:00+00:00) with “Ignore All Deps” When the state of sleep_task1 task changes running, scheduler processer raise It does not even execute/iterate BigQueryOperator to next date and so on. 10 (GKE version v1. exc. The Pod logs the received signal as shown in the log below and initiate a graceful shutdown. It is also not the standard usage of Airflow, which was built to support daily batch Scheduler mostly runs heavy database queries, where triggerer is running mostly async-io loop which - when we have more operators converted to it - effectively what it will do You signed in with another tab or window. scheduler_job. py", line 628, in _execute self. 0 What happened When we run scheduler/triggerer with statsd metrics enabled it crashes with db commit errors with -D argument. 9 Versions of Apache Airflow Providers No response Deployment Virtualenv installation Deployme The Airflow processes receive a SIGTERM signal when Kubernetes wants to terminate the Pod. It LocalExecutor: In this screenshot the scheduler is running 4 of the same process / task, because max_active_runs was not set (I subsequently set it to 1, because that's the behaviour I want). 0 What happened I have an instance of Airflow running on a K8s cluster. event_scheduler import EventScheduler from airflow . For some strange reason, the scheduler pods are restarted every now and . While running DAG on Airflow, TaskNotFound error basically says that you might have been either using dynamic DAG where a Task is dynamically created (deterministically). 13 Kubernetes: Version Airflow scheduler fails to pickup scheduled DAG's but runs when triggered manually 8 Airflow DAG successfully executed but tasks didn't run [2021-04-26 10:57:11,738] {scheduler_job. . What happened The Airflow scheduler occasionally exits with psycopg2. _do_scheduling() self. IntegrityError: (psycopg2. Details: Airflow: Version 1. 13 Kubernetes: Version [2021-04-26 10:57:11,738] {scheduler_job. logging_mixin import LoggingMixin from airflow . I've After all, the abbreviation DAG stands for Directed Acyclic Graph, so we can’t have cycles. You switched accounts on another tab airflow-c-qa4-64956645c-tr4zm airflow-scheduler [2022-01-05 17:18:26,109] {scheduler_job. info("Starting the scheduler") # DAGs can be pickled for easier remote execution by some executors pickle_dags = False if I'm experiencing a similar issue. Set example dag ( I used task_group) to schedule_interval * * * * * and start the scheduler Apache Airflow version 2. 3 and this is happening a couple of times per day. Yes, still happens in beta3. Reload to refresh your session. 2 installed on k8s using helm chart AWS RDS PostgreSQL is used as a backend database Webserver and scheduler run constantly as PODs Persistent volume is added and We are facing the same issue (scheduler liveness probe always failing and restarting the scheduler). Follow edited SchdulerJob. 3; presumably other versions. • At a high level, the CLI command will invoke _run_scheduler_job, which will File "/airflow/airflowvirt/lib64/python3. I want to set up a DAG in a loop, where the next DAG starts when the previous DAG is completed. 8/site-packages/airflow/jobs/scheduler_job. SIGKILL which I believe to be from a lack of memory on our Airflow worker. To kick it off, all you need to do is execute the airflow scheduler command. What happened The Airflow scheduler occasionally exits with We use airflow 2. Choices include # ``SequentialExecutor``, ``LocalExecutor``, ``CeleryExecutor``, Apache Airflow version Both Airflow 2. 1 cli. For the scheduler loop, the code documentation provides a good detailed overview of the function. Exited execute loop Failed to execute task LocalTaskJob received SIGTERM signal. utils . Firstly, airflow use Apache Airflow version 2. 1 Operating System Oracle Linux 7. 361+0000] {executor_loader. Perhaps not the best solution but it did work for me. SIGTERM to group 64 │ │ scheduler Discussed in #17126 Originally posted by sorabhgit July 21, 2021 Hello Guys , I am also struggling with issue while setting up schedulers HA with Airflow 2. Let’s look at how Airflow parses this command and start the process loop. Unfortunately, I see my Scheduler getting killed every I'm using Airflow 2. You signed out in another tab or window. And this is not Airlfow issue. scheduler(): 接受命令 from airflow. Specifically, the error message is _pickle. Please upgrade to 2. You switched accounts on another tab or window. _get_next_dagruns_to_examine(State. _run_scheduler_loop() File On 12/20 one of our tasks failed due to INFO - Task exited with return code Negsignal. I tried different options, but ended up using triggerdagrunoperator. Last heartbeat was received 3 minutes ago. We have scheduler running which have maximum number loop runs as 100000. The same DAG is responsible each time, but this is likely due to the fact that it is We are using a centos:8 based image (though it was happening with centos:7 also). 13 to 2. 2 What happened We had an entire Airflow environment crash recently due to a very rare series of events. The Airflow scheduler is designed to run as a persistent service in an Airflow production environment. 1 Scheduler was going abruptly down with the below errors. Here is the work flow that I want to achieve: This is similar to defining your tasks in a for loop, but instead of having the DAG file fetch the data and do that itself, the scheduler can do this based on the output of a previous task. You switched accounts I intalled airflow in my k8s cluster. It It seems that after having passed the use_row_level_locking to False, the problem has disappear on my side (with 3 schedulers). You switched accounts To kick it off, all you need to do is execute airflow scheduler command. Improve this answer. But the schedule pod always restart when receiving signal 15. So basically i have 2 dags, one is scheduled dag to Errored out Logs From airflow-scheduler: duplicate key value violates unique constraint "dag_run_pkey": sqlalchemy. But when we SchedulerJob. Scheduler restarts and picks up where it left off. 22. 6/site-packages/airflow/jobs/scheduler_job. Right 文章浏览阅读2k次，点赞3次，收藏10次。文章目录1. jobs. Once the scheduler crashes restarts will cause it to immediately crash again. It Below are some example scenarios that could cause a task’s state to change by a component other than the executor: If a task’s DAG failed to parse on the worker, the scheduler may mark The scheduler initialization process • The first step needed to schedule tasks is to start the scheduler. How to reproduce it:. 0. 1 -- #14057 -- this change takes care of not failing the When I ran hundreds of tasks, encounter Scheduler error frequently. 1 and setting up Airflow scheduler (Using LocalExecutor) + webserver on Deb9 Instance. It will use the A none-checking will fix the exception, but not the issue. You switched accounts on another tab You signed in with another tab or window. When I inspect the Airflow scheduler logs it does not appear to even notice that there are tasks in the Apache Airflow version 2. Scheduler的启动和停止命令1. py:714} INFO - Starting the scheduler [2023-09-01 08:49:21,165] Saved searches Use saved searches to filter your results more quickly def execute_async(self, key, command, queue=None, executor_config=None): if queue is not None: warnings. I’ve The Airflow scheduler is designed to run as a persistent service in an Airflow production environment. We have scheduler service stopped unexpectedly with the below error: we have mysql DB server reboot (due to server patching) CHANGE Apache Airflow version 2. You switched accounts In the MWAA-UI I saw the message "The scheduler does not appear to be running. utils. It seems Apache Airflow version Both Airflow 2. AirflowException: Could not get scheduler_job_id [2021-07-09 10:31:52,979] It starts off the DagFileProcessorAgent and scheduler loop (_run_scheduler_loop). 3 (latest released) What happened Our schedulers have crashed on two occasions after upgrading to Airflow 2. Your schedule_interval is set for every minute: schedule_interval=timedelta(minutes=1) which is what's causing the DAG to execute so The Airflow scheduler is designed to run as a persistent service in an Airflow production environment. We are trying to increase the dagbag timeout seconds but it has not cleared all the crashes. 3 (latest released) What happened After running for a certain period (few minutes until several hours depending on the number of PIDs of all processes in the grou │ │ scheduler [2022-05-25 06:55:41,237] {process_utils. py:721} INFO - Exited execute loop line 787, in _run_scheduler_loop airflow Airflow environment details: Version - 2. I just started with Airflow. When ti. Depending how you run your python script via bash operator, it will use "a" python interpreter - depending on root@ip-10-15-188-198:airflow# cat airflow-scheduler. If a task is in the scheduled state and the DAG code is temporarily removed (e. No entrypoint, a straight airflow scheduler. 14 Environment: Azure - AKS What happened: I have just upgraded my Airflow from 1. py", Please update your `conf. 3. 8. cfg # The executor class that airflow should use. py:721} INFO - Exited execute loop line 787, in _run_scheduler_loop airflow Apache Airflow version 2. log . 8/lib/python3. UniqueViolation) In Airflow, you can define order between tasks using >>. 10-gke. 0 version . File "/home/export/servers/python3. py:1305} INFO - Exited execute loop The text was updated successfully, but these errors were encountered: All reactions Apache Airflow version: 2. Maybe the doc should be updated because:. 18. py:80} INFO - Sending the signal Signals. Scheduler程序源码2. 0 Kubernetes version (if you are using kubernetes) (use kubectl version): Environment: Cloud provider or hardware configuration: tencent cloud OS (e. Also we have You signed in with another tab or window. 10 and I can run airflow webserver without any error, but when I run "airflow scheduler" I've got the below error: {jobs. g. The scheduler crashes with the following exception. 10. _execute() def _execute(self): self. LOCAL_PATH_TO_PROJECT_FOLDER is the path to the project folder on your local file system (the folder where you keep your hop Apache Airflow version 2. 1. _start_queued_dagruns() dag_runs = self. SchedulerJob. 文章浏览阅读2k次，点赞3次，收藏10次。文章目录1. 2 Scheduler停止命令2. DeadlockDetected, and several @jscheffl being able to downgrade after upgrading is something we promise though it's not written but we have some tests that runs migration upgrade and downgrade for We then use this docker image for all of our airflow workers, scheduler, dagprocessor and airflow web This is managed through a custom helm script. 2 Executor - Celery Platform - Azure Kubernetes Service Celery Broker - Azure Cache for Redis Metastore - Azure postgresql this is config file in airflow. _create_dagruns_for_dags() self. 0 (latest released) Apache Airflow version v2. retries import MAX_DB_RETRIES , It seems that after having passed the use_row_level_locking to False, the problem has disappear on my side (with 3 schedulers). For example: task1 >> task2 Which would run task1 first, wait for it to complete, and only then run task2. MySQL DB is on another instance and I checked using PING def _run_scheduler_loop (self)-> None: Harvest DAG parsing results, queue tasks, and perform executor heartbeat; the actual scheduler loop. Now it works, but at the startup Airflow launched all the jobs he thinks were non executed, Apache Airflow version: 2. Depending how you run your python script via bash operator, it will use "a" python interpreter - depending on Apache Airflow version Other Airflow 2 version What happened Airflow 2. 5. 2 (latest released) What happened. 600) Helm Chart configuration Only There was non way to have Airflow started !! I restored the backup of the day before in order to have Airflow up and running again. _run_scheduler_loop(), Many of my tasks for my DAGs are stuck in the scheduled state and are not running. This also Exiting scheduler loop as requested number of runs got to 100000) has been reached. log. 0 Kubernetes version (if you are using kubernetes) (use kubectl version): Environment: Cloud provider or hardware configuration: tencent cloud The mounts section is where we’ll link your project and environment folders to the container. scheduler(): 接受命令 Official Helm Chart version 1. 7. I am running it in Kubernetes (AKS Azure) with Kubernetes Executor. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about You signed in with another tab or window. Currently my flow job is dag = DAG('dag1', default_args=default_args, concurrency=1, Airflow 2. Harvest DAG What you expected to happen:. 14 & 1. 2 Kubernetes Version v1. 5 Airflow scheduler will fail to start with the following lof when a task_instance has a blank Hi I am trying to process multiple files using apache airflow. 2. RUNNING) airflow-c-qa4-64956645c-tr4zm airflow-scheduler [2022-01-05 17:18:26,109] {scheduler_job. get*` call to use the new name [2024-10-08T15:26:01. A user manually submitted a We are using Airflow v1. warn( 'DaskExecutor does not support queues. py:583} ERROR - Cannot use more than It's not instaled in the environment that you run it in. exceptions. The main steps in the loop are: Apache Airflow version 2. The log info below: [2021-12-03 11:06:54,214] {scheduler_job. To do so, run this command in the terminal: airflow scheduler Share. from We use airflow 2. 0: Kubernetes version 1. UnpicklingError: pickle data was truncated it looks like that there is a memory/network/disk space issue. Another way to You signed in with another tab or window. To kick it off, all you need to do is execute airflow scheduler. py:254} INFO - Loaded executor: The Airflow scheduler is designed to run as a persistent service in an Airflow production environment. Not raise AirflowException("Could not get scheduler_job_id") airflow. out [2023-09-01 08:49:21,164] {scheduler_job. 9. queued_dttm is set when the ti (task instance) is being queued for execution, and should not be None here The Airflow scheduler is designed to run as a persistent service in an Airflow production environment. vnllyvwqnswwihwcagjowbltgtixmhzftnabswnbcztebosdozxvfuknufxiwtucoxtcczwwoqozfna