You may get an error in Airflow as
python3 -m venv virtualenv
source virtualenv/bin/activate
export AIRFLOW_HOME=/home/ubuntu/workspace/airflow
cd $AIRFLOW_HOME
nohup airflow scheduler > airflow_scheduler.log &Troubleshooting Steps
Check the Scheduler’s Log
Go to the log directory where Airflow stores its logs and check the scheduler’s logs for any errors or warnings. You might find some useful information about why the scheduler is not running.
Check Scheduler’s Process
Use process monitoring commands (ps, top, or htop) to check whether the scheduler process is running or not.
If it’s not running, you might need to start it manually.
Check DAGs
Check if there are any errors in your DAGs which might be causing the scheduler to crash. You can do this by running airflow dags list or by going to the Airflow Web UI and looking at the DAGs.
Check Resources
Sometimes, lack of resources (memory, CPU) can cause the scheduler to crash or stop running. Ensure that your machine has sufficient resources.
Check Database Connection
The scheduler communicates with the metadata database, so you should ensure that the database is reachable and that there are no connection issues.
Restart the Scheduler
If you don’t see any issues, try restarting the scheduler and see if it resolves the problem.
Commands
Here are the common commands to manage the Airflow scheduler:
airflow scheduler
ps aux | grep "airflow scheduler"
