GitHub user potiuk added a comment to the discussion: When triggering manually a DAG using the Trigger button it takes a while to be executed
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. GitHub link: https://github.com/apache/airflow/discussions/53710#discussioncomment-13877232 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected]
