nijkah opened a new issue #17988: URL: https://github.com/apache/airflow/issues/17988
### Apache Airflow version 2.1.1 ### Operating System 18.04.5 LTS (Bionic Beaver) ### Versions of Apache Airflow Providers apache-airflow==2.1.1 apache-airflow-providers-amazon==2.0.0 apache-airflow-providers-celery==2.0.0 apache-airflow-providers-cncf-kubernetes==2.0.0 apache-airflow-providers-docker==2.0.0 apache-airflow-providers-elasticsearch==2.0.1 apache-airflow-providers-ftp==2.0.0 apache-airflow-providers-google==4.0.0 apache-airflow-providers-grpc==2.0.0 apache-airflow-providers-hashicorp==2.0.0 apache-airflow-providers-http==2.0.0 apache-airflow-providers-imap==2.0.0 apache-airflow-providers-microsoft-azure==3.0.0 apache-airflow-providers-mysql==2.0.0 apache-airflow-providers-postgres==2.0.0 apache-airflow-providers-redis==2.0.0 apache-airflow-providers-sendgrid==2.0.0 apache-airflow-providers-sftp==2.0.0 apache-airflow-providers-slack==4.0.0 apache-airflow-providers-sqlite==2.0.0 apache-airflow-providers-ssh==2.0.0 ### Deployment Official Apache Airflow Helm Chart ### Deployment details _No response_ ### What happened We want to import a dag with 1,900 nodes with CustomOperators. It does work up to 300 nodes. But when we set a dag with 1,900 nodes. It throws error like this.  So we add variables to custom_values.yaml for chart like below. ``` env: - name: AIRFLOW__CORE__DAGBAG_IMPORT_TIMEOUT value: 360.0 config: core: dagbag_import_timeout: 360.0 ``` But it still says, timeout is 30.s in error message. So with interactive shell of worker pod, I checked this.  Why configuration does not set? ### What you expected to happen Although I set a configuration for dagbag_import_timeout, it still throws messages with 30.0s. ### How to reproduce I think any dag with import timeout exceeding 30.0s can show that the message does not change despite of setting configuration for dagbag_import_timeout. ### Anything else _No response_ ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
