Airflow dag stuck in running state

Last UpdatedMarch 5, 2024

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DAGs with no “scheduled” tasks will begin running according to their Jan 21, 2021 · 5. python_operator import PythonOperator. When I check my airflow celery logs the last lines are the following and nothing else happened : Apr 13, 2023 · I backfilled a DAG that runs every 5 hours to have one day's worth of runs. AIRFLOW__LOGGING__REMOTE_LOGGING=False, everything works as expected. In the past few days, we’re seeing tasks getting stuck in queued state for a long time (to be honest, unless we restart the scheduler, it will remain stuck in that state), new tasks of the same DAG are getting scheduled properly. In the below log I only found information about the 2 tasks (database_setup, positions_extract ) that ran successfully. DagRun. I recommend you revisit the Scheduler logs to see why it's hanging. May 24, 2022 · 2. Jul 26, 2018 · When in the Airflow web UI: select any DAG of interest. Here’s a basic example DAG: It defines four Tasks - A, B, C, and D - and dictates the order in which they have to run, and which tasks depend on what others. if the dag started by scheduled time, then it will immediate executed. scheduled runs), or by an external trigger (i. Create a Timetable instance from a schedule_interval argument. Not sure what "Scheduled" means and why they don't move to "Running". I have an airflow dag running every 15 mins. On average, we found 1~3 task instances Apr 16, 2019 · 3. dag_runs = DagRun. Bases: airflow. Jun 12, 2021 · In my application, airflow DAGs are getting stuck in a running state for some reason, we want to mark them as FAILED or SUCCESS and trigger a fresh DAG run, and sometimes while the DAG is in running state we want to abort it based on some predefined conditions. This moves the run to a Queued state (as expected) but the run never actually runs so it gets stuck in a queued state. adoptable_states [source] ¶ A list of states indicating that a task can be adopted or reset by a scheduler job if it was queued by another scheduler job that is not running anymore. For instance, the product team keeps an eye on product performance and responds to any deviations within six hours. get_last_dagrun(dag_id, session, include_externally_triggered=False)[source] ¶. If you're using greater than 50% of your environment's capacity you may start overwhelming the Apache Airflow Scheduler. Aug 21, 2020 · I am executing backfill jobs via Airflow CLI, and the backfilled dag runs get stuck in a running state, with the first task in the dag in a queued (grey) state. I've waited before for up to an hour an it never completes successfully. Dependencies Blocking Task From Getting Scheduled **Dependency **Reason Task Instance State : Task is in the 'queued' state which is not a valid state for execution. Jun 7, 2024 · There are no errors in the scheduler log. I simply created a function to loop through the past n_days and check the status. Jan 6, 2022 · Saved searches Use saved searches to filter your results more quickly May 16, 2022 · Im trying to run 10 taks in parralel on fargate. When running simple jobs dags are stuck in Running status but the Scheduler Pod logs shows that task are succeeded . Some subdags stuck running (with its internal tasks successfully ended). Invocation instance of a DAG. ExternalTaskSensor works by polling the state of DagRun / TaskInstance of the external DAG or task respectively (based on whether or not external_task_id is passed) Now since a single DAG can have multiple active DagRun s, the sensor must be told that which of these runs / instances it is supposed to sense. Dec 21, 2018 · Trying to do some backfills, and all the dag runs start up fine, but for some reason they can't get by a specific task, instead they get stuck in a "Scheduled" state. It works fine in the daily run, but the backfill gets stuck for some reason. Nov 16, 2023 · When I trigger the DAG, it shows as "running", but the first task itself did not get executed, it did not even start. now click on the task. May 28, 2022 · AirFlow DAG Get stuck in running state. This dag runs successfully in other instances (inside docker containers). Although airflow is running 40 parallel task, but only 5 jobs get into the running state. [2021-03-12 03:29:16,276] {taskinstance. For the DAGS who take a short amount of time to finish doesn't cause any issue for longer running tasks when the task is done in the pod and the pod moves to a terminated/completed state the airflow webserver/scheduler seems to not receive that information. In the paragraph Task Instance Details you will see why a DAG is waiting or not running. db import create_session. run_fk_alter_statements(schema,query) call in your instantiation of the SnowflakeQueryOperator is actually top-level code so it will execute every time the DAG is parsed by the Scheduler. 14 to 2. from datetime import datetime as dt. task_instance_scheduling_decisions. For this variable, it's better to choose the minimum date of your runs, if you don't have one, you can use the yesterday date, but the next day you will not be able to re-run Apr 15, 2019 · For references of the images below, the ID of the DAG is xcom_4_modules_ver_5. however each time i run the dag, one of the tasks get stuck on running state, and on ECS cluster i dont see the task started, i always see 9 tasks started, but one of them randomely dont start. cfg to a smaller value. Increses count for celery's worker_concurrency , parallelism , dag_concurrency configs in airflow. py Run shows running forever when some task in dag_test. Airflow logs looks like this: Apr 26, 2019 · I am using Airflow 1. Feb 28, 2018 · Metrics on scheduler do not show heavy load. Tasks are stuck in the queued state and will not be scheduled for execution. Aug 15, 2018 · 1. 10. py are in failed state. Add your own bucket name to try the function out. 0. So if Airflow was down for 2 days there is no point in running all the missing dag runs during that time. When I did that, the manually triggered task was doing its job, but the next task was not getting scheduled either. I look at the scheduler log for that DAG and I see: Type of return for DagRun. logging_mixin. 2 Python : 3. We have Airflow running through AWS ECS and after upgrading to 2. You need to unpause it. In this situation, shouldn't the dagrun remain Aug 24, 2017 · In my case, all Airflow tasks got stuck and none of them were running. Dec 12, 2018 · 388 1 3 12. airflow. cfg. A DAG run can stay in this "queued" state even if the pool Nov 16, 2021 · The sql=SnowHook(). I could run the task manually. 1. If I run the code it will work but as a DAG it hangs. ti = TaskInstance(*your_task*, execution_date) state = ti. You have almost the same DAG but you trigger it for each file to upload, then you deal with dag_runs. This dag has 3 tasks TaskA TaskB TaskC I want to write a logic in such a way that if for a dag run TaskB fails, then in next run Dag should start from failed task only (from TaskB). I have a DAG that I believe I have scheduled to run every 5 minutes, but it isn't doing so: Ignore the 2 successful DAG runs, those were manually triggered. _set_celery_pending_task_timeout(key, None) removes the task from the list of tasks eligible for stalled Sep 6, 2022 · 7. airflow test [dag_name] [task_name] [datetime] How to reduce the airflow UI page load time?¶ If your DAG takes long time to load, you could reduce the value of default_dag_run_display_number configuration in airflow. I have a DAG with an HttpSensor set to mode="reschedule". Sometimes, the tasks in an individual DAG remain stuck in a “queued” state, but the issue is not observed across multiple DAGs. 2 of the 3 tasks ran successufully, but task got stuck in the scheduled state. 8 kubernetes : 11. I also dug into the task instance details and found. only one working scheduler is enough for the scheduler state to be considered healthy Note the state=queued and executor_state=failed -- Airflow should be marking the task as failed. In the first row there is a panel Task Instance State. This is different from the pause/unpause functionality provided. Mar 7, 2023 · AirFlow DAG Get stuck in running state. Mar 15, 2022 · [2022-03-15 11:31:26,335] {scheduler_job. When the DAG is unpaused, any “scheduled” tasks will begin running according to the DAG logic. Rest of the jobs are stuck at scheduled state. We are using the default setting of weight_rule=WeightRule. This task is hitting an API that will return True after 100 seconds for a specified run. If anything happens with […] Add handling logic on CeleryExecutor to reschedule task stuck in queued status #28943. Due to the Airflow scheduler heartbeat interval, you could confront rare cases where the State in the DB is lag updating, and the scheduler goes down. py:624} INFO - Dependencies not met for <TaskInstance: <DAG_NAME>. upstream tasks have completed). 1 with a simple DAG run locally using the SequentialExecutor (using airflow standalone in the terminal). Webserver and Scheduler are running, and I can see Event status is Succeeded in POD scheduler logs. Prevent Disabled DAG from Running Instantly When Enabled. operators. the 1500hr run. Second step, you can write some trap in your dag & model for print log. utcnow(), which is always >= the dag_run start_date, in this case Airflow will mark the run as succeeded without running it. cfg file. Even when I mark them as "failed" and rerun them again it is still getting stuck. For example, I have the subdag load-folder-to-layer that should have started and ended in 2020-11-18, but it stuck until 20th. I manually cleared one DAG with 3 tasks. Here's my code for the same (I am trying to SSH into an EC2 server and run a bash command): from datetime import timedelta, datetime. Oct 31, 2022 · Dags always run at the end of their data interval. Run the DAG repeatedly until a task gets stuck in the 'Running' state. e. from airflow import DAG. Apr 4, 2022 · 3. Nov 22, 2015 · mistercrunch changed the title Branch and Join Operators not working - DAG runs in permanent "Running" state Skipped state isn't propagated downstream, resulting in DAG runs stuck in running state Nov 23, 2015 Apr 13, 2020 · Backfilling the run on the date(s) should bring back the missing task(s). Turning the flag on will start your This threshold value can be specified using the option scheduler_health_check_threshold within the [scheduler] section in airflow. dag_test. find(dag_id=dag_name) dag_runs_sorted = sorted(dag_runs, key=lambda dr: dr. the problem is my dag is unpaused, but also keep the running state. How can i solve this? Jun 25, 2020 · Background. The function interacts with an API and saves the json file to an S3 bucket. I have a problem with my dag getting stuck at subdag. 15) which fails seemingly randomly, even though the code is not changed in between the different runs. I'm using version 2. The Just started with airflow and wanted to run simple dag with BashOperator that outputs 'Hello' to console I noticed that my status is indefinitely stuck in 'Running' When I go on task details, I get this: Task is in the 'None' state which is not a valid state for execution. If nothing else works, you can use the web ui to click on the dag, then on Graph View. dag. 3, when a dag is enabled by pressing a button to change its state from off to on, the dag will run past schedule before the next scheduled run time . 567212. their process did not send a recent heartbeat as it got killed, or the machine died). py Mar 14, 2019 · I am trying to use airflow trigger_dag dag_id to trigger my dag, but it just show me running state and doesn't do anymore. self. The scheduler doesn't seem to ever kick off the first task. py (dag_rerun. The root cause seems to be that the top-level SubDagOperators take up all five of the slots available for running tasks, so none of the sub-tasks inside of those SubDagOperators are able to run. 2. I have searched for many questions, but all people just say dag id paused. 2. downstream. When I trigger a manual run of any of the example dags, they stay in the "Running" state indefinitely. utils. Sorted by: 0. How to trigger a dag to run immediately. When I check on the airflow UI the dag is in the "running" state : I made sure to set all the other running tasks to "failed" before running this dag. Mar 15, 2021 · When the DAG is triggered a pod is created and the steps inside the DAG start running. Return the last dag run for a dag, None if there was none. I can see the worker pod spun up and getting completed but the task status never gets updated and ui still says queued and dag is always in running state due to this. dag_defaults = {. Currently, we are doing this by using airflow UI but we want to use API instead. – shwifty chill. After 2 days that airflow was down it still try to run all the missing tasks. first step, you can check the task log. This code was working just fine a couple hours ago, but suddenly my dags started getting stuck in "queued" state. At this time, the task enters the scheduled state. As you see, the "Trigger Rule" field says that one of the tasks is in a "non Aug 3, 2020 · The State is static, or a snapshot at a given moment. If one is re-running a whole DAG retroactively and can afford it, deleting the whole DAG using the UI will solve the issue as well. Aug 24, 2017 · In my case, all Airflow tasks got stuck and none of them were running. You can see here that I started running at 22:03, and it's 22:06 - that's only 3 minutes, but this DAG should run in a matter of seconds. Jan 31, 2021 · 1. We are running into an issue after upgrading to airflow 2. This configurable controls the number of DAG runs to show in UI with default value 25. May 21, 2021 · edited. There are other ways to optimize Apache Airflow configurations May 31, 2022 · on May 31, 2022. Consider the following timeline of DAG and Task runs: t0: Task succeeds; t1: Task succeeds; t2: Task fails; t3: DAG run active, Task has "no status" t4: DAG run active, Task has "no status" The first task executes fine (dummy start task) but the dag is stuck at second task. I thought that setting my sensor to mode="reschedule" would free the worker so that it could pick up a new task or start working on a new run. Nov 16, 2023 · To achieve running both DAGs concurrently with 12 tasks each, you need to adjust the configuration and consider the total number of tasks that can run simultaneously across all DAGs. When I use the default logging configuration, i. Jul 22, 2018 · This dag runs every 30 minutes. ("none" state before) -- no any other jobs in the meantime, the slot is 128. Aug 25, 2017 · This image shows successful upstream tasks, with the task end_ingestion with no status and the DAG marked as Failed. current_state() As I want to check that within the DAG, it is not neccessary to specify the dag. It is a training script which normally should not take more than 2 hours, but occasionally it runs without ever completing, and eventually times out at the maximum set timeout. 7. Airflow parses DAGs whether they are enabled or not. You have a DAG with a task which in a loop goes trough a file list and actually upload them. You can check the default configuration in airflow. py:345} INFO - DAG pinkdolphin-update-staging-db has 1/1 running and queued tasks [2022-03-15 11:31:26,335] {scheduler_job. LoggingMixin. Below are the steps I have done to fix it: Kill all airflow processes, using $ kill -9 <pid>. The dag is very simple with 2 independent tasks only dependent on last run. It seems to work when I run airflow scheduler, including the built in daemon airflow scheduler -D. Feb 18, 2024 · 0. How to auto activate DAGS in airflow. An example with python3 on how to get the state of dag_runs via DagRun. In the logs, these tasks have a message of could not queue task <task details>, as they are current Nov 7, 2019 · You can also retrieve the information via python code a few different ways. Jan 5, 2022 · I meet a very strange problem that if we trigger the airflow dag from external, the one will stay in queue for 2 minutes and then the first task go into "running" state. 12, with KubernetesExecutor and KubernetesPodOperator. again, click on Task Instance Details. May 2, 2017 · from airflow. Also, since you want to run 12 tasks Sep 18, 2023 · dag with backfill command to rerun dag_test. 6. NOTE - These jobs are the ones that creates a new kubernetes pod via Kubernetes Pod operator. Here is some logs where things went wrong. Jan 30, 2022 · Apache Airflow version 2. One other way of handling this is by using configuration. My two May 9, 2023 · 441822. 1. After all of the runs completed successfully, I cleared the state of one of the run i. models. Airflow not loading dags in /usr/local/airflow/dags. In my default args for a DAG I have set the retry and retry_delay parameters. scheduled or backfilled. I have scheduled my airflow DAGs to run, every DAG has one task inside of them. python dependencies: airflow config: Facing this issue after upgrade to airflow 2. When I trigger manually my dag, some of the tasks are stuck in the "queued" state in the logs. log. This happens even though pool slots available to use (Slots = 128, Running slots = 0, Queued Feb 14, 2018 · Example DAG gets stuck in "running" state indefinitely. Jul 5, 2019 · 2. start scheduled__2022-03-14T00:00:00+00:00 [scheduled]> since the number of tasks running or queued from DAG pinkdolphin-update-staging-db is >= to the DAG's Jul 13, 2023 · I wanted to run 40 parallel tasks in a dag, thus have set the parameter of max_active_runs = 40 for the dag. Kill all celery processes, using $ pkill celery. If it's possible for any of the tasks to fail, but you still want to terminate the cluster, you will need some alternate pathway for the dag to follow, e. Nov 11, 2021 · How to reproduce. This issue happens once in 1-2 days. When this happens, these tasks also bypass stalled_task_timeout, because when update_task_state is called, the celery state is STARTED. 7. Note: I can use one dag to trigger another one in Web UI. You can set max_active_runs_per_dag to a higher value like 10 to allow more instances of each DAG to run concurrently. kubernetes]=="${AIRFLOW Jan 6, 2022 · Task is in the 'queued' state which is not a valid state for execution. Environment: Airflow : 2. Apache Airflow version. Increses count for celery's worker_concurrency, parallelism, dag_concurrency configs in airflow. 15. 4, multiple dags started getting stuck in queued state while some dags ran fine. Apr 19, 2023 · First, the Airflow scheduler determines that it’s time for a task to be run and any other dependencies (e. Return repr (self). May 21, 2023 · 0. The subdag is in RUNNING state but on zooming in all the tasks of the subdag are in None status. The accepted answer is correct. 7 Feb 6, 2022 · 1. manual runs). models import TaskInstance. Last dag run can be any type of run e. Note that you can avoid this issue by using is_paused_upon_creation this flag specifies if the dag is paused when created for the first time. When I monitor the UI, upon a task failure, it briefly changes state to "retry" but immediately following, the DAG state is set to "FAILED" and so the task (that should be up for retry) gets stuck in the queued state. After running the DAG through a scheduled process and triggering manually through the UI, I executed airflow list_dag_runs xcom_4_modules_ver_5 on CLI to check the status of DAG run. However the above definition does not work. Dagrun Running: Task instance's dagrun was not in the 'running' state but in the state 'failed'. Mar 3, 2023 · Running DAG Tasks are stuck in queued status - Celery Flower Task state is "FAILURE" Running Airflow in production on Rancher in dedicated containers for: scheduler flower worker webserver When I run example_bash_operator sample DAG, its tasks are stuck in queued status. Airflow was designed as an orchestrator for ETL data processing. dags_are_paused_at_creation = True. Now I want to pause the execution of this . Be mindful that this option is destructive. from airflow. It rewrite data in the table (delete all and write). One such way that I've used in the past is the 'find' method in airflow. Jun 22, 2021 · I suspect that the problem is in schedule_interval='@once' for DAG_B: When you add the DAG for the first time, the schedule_interval tells the scheduler to run the DAG once. Nov 20, 2020 · we're facing a very strange behavior in Airflow. The DAG was successfully executed and wrote the expected output in log file. def rerun_dag_task(dag_name, task_name): dag_runs = DagRun. Any preparations that needs to be done by DAG_A for DAG_B to run successfully have not been done yet Mar 5, 2024 · Had a look at the Airflow docs themselves: When a DAG is paused, any running tasks are allowed to complete and all downstream tasks are put in to a state of “Scheduled”. In cases like this, the problem is likely isolated at the DAG level. On clicking the Task Instance Details, it shows as below. Is it possible to set a dag to be enabled but not make its previous run until the next time its schedule to be run? Tried using delete command to run day history and few other methods. However, when I run the daemon that I have setup using the unit files recommend by airflow the tasks either fail or get caught in an 'up_for_retry' state. Example command: airflow dags backfill my_dag -s 2024-01-10 -e 2022-01-11 Option 2: remove DAG. Using Airflow 2. Airflow saved the State in its backend DB, and the updating of the State is not a continuous process. Base, airflow. Looking at the terminal I don't see much happening apart from the occasional Dec 9, 2016 · 3. That is also not true. 3 (latest released) What happened. When I have runs which are scheduled normally Mar 5, 2020 · Airflow cannot run DAG because of upstream tasks been failed. Andrii Soldatenko. The first task runs fine since it's just a simple print statement, but the second task B gets stuck in 'running' (viewed using the UI). def check_status(**kwargs): Nov 17, 2017 · The problem: The DAG will stop making progress in the high-parallelism part of the DAG. For example, if a DAG has 8 components and 3 components have already executed successfully. Your next dag run isn't set in the past, the dag for 2022/10/31 won't run until tomorrow (it's tomorrow because your cron is set to a DAGs. 2 after a trigger_dag. find(dag_id=dag_id) May 27, 2021 · My dags are getting stuck in "running" state indefinitely. I do not have depends_on_past=True set as dag_defaults. In the logs, these tasks have a message of could not queue task <task details>, as they are currently in the queued or running sets in the executor. Feb 15, 2024 · In Airflow 5. Create a DAG with 8+ parallel, long-running tasks. e at the end of the day). A DAG run can be created by the scheduler (i. Interesting thing to notice is when I restart the scheduler tasks change to running state. 34. The tasks will stay in this state forever unless we mark them as failed manually. Jun 6, 2020 · The database has been initiated. When I check on the airflow UI the dag is in the "running" state : Screenshot. 2 Why tasks are stuck in None state in Airflow 1. Airflow will find Apr 1, 2016 · I use airflow-cli airflow backfill -s 2016-04-01 -e 2016-05-01 -I -m test_backfill to backfill my dags but the state is stuck in queued never get running unless i click Run on task ui. Could any one please let us know the reason for this status in the airflow log? I had to manually make the task success and retrigger the task. dagrun. 1 with LocalExecutor. We're running Airflow 1. I seem to have found the reason. Now select the first task and click on Task Instance. The idea being a dag for the 31st should cover data for the 31st (i. AirFlow DAG Get stuck in running state. if still not solve, you cant use airflow test command to find where is the issue and try to sovle it. The problem is with 'start_date': datetime. py:352} INFO - Not executing <TaskInstance: pinkdolphin-update-staging-db. So, DAG_B is triggered once by the scheduler and not by DAG_A. I'm using airflow S3 hook. Aug 8, 2022 · 1. It happens randomly, can perfectly run for a day and then a few tasks will stay queued. This leads to large Total Parse Time in CloudWatch Metrics or long DAG processing times in CloudWatch Logs. Here is the output of what this paragraph is showing me: A list of states indicating that a task or dag is a success state. Triggering an Airflow DAG from terminal always keep running state. py) I'm trying to mock a situation when the job still failed when running airflow dag backfill, and there is a problem i cant solve when I try to backfill, the dag_test. The first simple task that creates a table in Postgres executes successfully. Jun 1, 2020 · In the case of some DAG runs, everything was running normally. Your DAG isn't running because it's paused. When the DAGs run, the tasks inside them don't get executed. Overridden DagRuns are ignored. Below is the main dag: 'owner' : 'airflow', 'retries' : 1, 'depends_on_past' : False. I just installed airflow 2. One of the Airflow task was stuck with the below log message. If the dag exists already, this flag will be ignored. g. – Andrey Kartashov. 3. Sep 28, 2023 · In addition, due to external resource limits, we set max_active_tis_per_dag=1. The State has a defined lifecycle. Mar 3, 2018 at 16:48. This does not seem to be the case, as I can have 16 Mar 3, 2021 · The DAG is suffering from an insufficient dag_concurrency parameter, which is limiting the number of tasks the individual DAG can run in parallel. get_task_instance(task_id=task_name) with create karthik-hbo. However, when I now use remote logging with CloudWatch, the DAG seems to be stuck when Django starts to configure logging as invoked by django Dec 10, 2021 · Adopting Airflow often means it becomes the center of the analytics stack: triggering ETLs, running SQL and training ML models while the schedule defined for each DAG likely comes from downstream SLAs. I have a DAG on Airflow (version: 1. No, typically after failing run dag run should succeed if there are no any errors in the previous dag run you should potentially fix. For this problem I think more backend information is required why they get stuck in running state, so the best action to take is to create a support ticket with ADF and see what they can provide from the backend. In the box Reason next to it is the reason why a task is being run - or why a task is being ignored. My application design requires that an Airflow DAG, which is currently being executed, can be paused if executing, resume if paused and stopped. There are also tasks in the same dag that are stuck with no status (white icon). Not all tasks stuck in "queued" state, only 1 task stuck at a time (out of 100+). # Are DAGs paused by default at creation. Nothing is running on the cluster and Airflow is likely just lying to itself. 8. No system runs perfectly, and task instances are expected to die once in a while. Airflow detects two kinds of task/process mismatch: Zombie tasks are TaskInstances stuck in a running state despite their associated jobs being inactive (e. Sometimes tasks stuck in "running" state also. The first case you can pause the DAG second you can mark a run as a failed. On other occasions, Airflow was scheduling and running half of the tasks, but the other half got stuck in the no_status state. To fix your problem you can try: from airflow. The task must be cleared in order to be run. using the Sep 12, 2023 · Simple Airflow DAGs are working for me, however, when I try to interact with an S3 bucket, the DAG will just hang on a running state. When we renamed one of the dags that was stuck in queued state, it started running. find (): dag_id = 'fake_dag_id'. Setup Airflow to run with the LocalExecutor with a parallelism of 32. May 18, 2017 · The default trigger_rule is ALL_SUCCESS so, for example, if task 1 fails, the whole Dag will fail, because task 2 requires task 1 to be successful in order to run. The next task HttpSensor gets stuck in "running" state. <TASK_NAME> 2020-06 Jul 5, 2023 · I try running Django on Apache Airflow following this idea of a custom operator. 5. execution_date, reverse=True) dag_run = dag_runs_sorted[0] task_run = dag_run. Any ideas as to why certain dags might not be running? Oct 27, 2021 · 1. Nov 11, 2021 · We have found that this issue occurs more often as the number of parallel tasks increases. Apr 15, 2021 · We are in the process of upgrading Airflow 1. 10. Here's what I'm trying to run (i am only triggering manually): from airflow import DAG. 3 (latest released) What happened Tasks are stuck in the queued state and will not be scheduled for execution. Feb 24, 2023 · Airflow in ADF is a new feature as it is currently in preview, and as with every new feature you might sometimes run into errors. Jun 12, 2024 · can we parameterize the airflow schedule_interval dynamically reading from the variables instead of passing as the cron expression 0 Airflow Task triggered manually but remains in queued state Feb 21, 2024 · Closed last month. Im looking for a solution where the dag runs from the failed tasks and skips the tasks which were in Jul 29, 2019 · 1. This issue can be handled through UI. By defualt all dags are paused on creation. base. answered May 11, 2023 at 8:10. 0 Docker Image Build : RUN pip3 install apache-airflow[async,google,statsd,cncf. 2 Answers. If you run more than one scheduler, only the state of one scheduler will be reported, i. (PR description, like below) We have been using Airflow with Celery executor on EKS to schedule up to 8,000 task instances per day on production data pipeline, and suffered from task instances stuck in queued status. 3 with default config (SQLite as metadata DB/SequentialExecutor) and tried running a Dag. We have found that this issue occurs more often as the number of parallel tasks increases. A DAG (Directed Acyclic Graph) is the core concept of Airflow, collecting Tasks together, organized with dependencies and relationships to say how they should run. the Local/sequential Executors are working as expected, but when using Kubernetes executor, the task are in queued status in airflow UI. Apr 1, 2022 · No, I trigger my DAGs manually via the REST API. Those subtasks get stuck in the queued state and no one makes Jan 7, 2021 · There are many tasks stuck in "queued" state Tasks in "queued" state say Task is in the 'running' state which is not a valid state for execution. kk st rl vi wf vt ui mh fj bj