When triggering manually a DAG using the Trigger button it takes a while to be executed

[HaythemJ]

Apache Airflow version

3.0.3

If "Other Airflow 2 version" selected, which one?

No response

What happened?

When mnaullay triggering a DAG using the Trigger button it takes a while to be executed. It tooks 5 minutes and more to start the first task.

My DAG is a simple one just for test.

I am using the docker-compose.yml for airflow 3.0.3 with no change. Just downloaded it and run it.

When I set the schedule for 30 seconds for instance, everything is OK, the DAG is triggered correctly, but manual trigger tooks a while.

What you think should happen instead?

I am expecting when I set the shedule to None, and when I trigger manually the DAG, it should be queued and ran in the next seconds.

How to reproduce

1. Deploy a simple DAG
2. Manually trigger it

Operating System

Docker on Ubuntu Server 24.04

Versions of Apache Airflow Providers

No response

Deployment

Official Apache Airflow Helm Chart

Deployment details

Airflow is deployed on Docker on Ubuntu Server VM 24.04

Anything else?

No response

Are you willing to submit PR?

• Yes I am willing to submit a PR!

Code of Conduct

• I agree to follow this project's Code of Conduct

[boring-cyborg]

Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.

[potiuk]

Likely you have too little resources assigned to your docker. This is not reproducible locally when you have plenty of RAM and disk. You should consider having at least 8GB (absolute minimum is likely 4GB - but it also can vary depending on system, python version etc. ) of memory to run airflow.