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Posted to commits@airflow.apache.org by "ihnokim (via GitHub)" <gi...@apache.org> on 2025/04/18 04:02:38 UTC

[PR] Change default executor in pod template to support executor parameter in task [airflow]

ihnokim opened a new pull request, #49428:
URL: https://github.com/apache/airflow/pull/49428

   closes: https://github.com/apache/airflow/issues/48667
   related: https://github.com/apache/airflow/issues/48667
   
   There is an issue when using multiple executors: if a specific executor is explicitly defined in a task parameter, the pod created by the pod_template may fail to run properly. This happens because the default pod_template generated by the Helm chart hardcodes the executor to ```LocalExecutor``` via the ```AIRFLOW__CORE__EXECUTOR``` environment variable.
   
   For example, in an environment where ```KubernetesExecutor``` is used, if a task is defined in the DAG with the ```executor="KubernetesExecutor"``` parameter, the pod will still have ```AIRFLOW__CORE__EXECUTOR=LocalExecutor``` in its environment variables. This leads to the following error:
   
   ```sh
   airflow.exceptions.UnknownExecutorException: Unknown executor being loaded: KubernetesExecutor
   ```
   
   To resolve this and improve the user experience for Helm chart users, I’ve updated the default pod_template so that the ```AIRFLOW__CORE__EXECUTOR``` value matches the executor defined in ```values.yaml```.
   
   After this change, I confirmed that tasks using ```KubernetesExecutor``` run successfully with the following DAG:
   
   ```python
   from airflow import DAG
   from airflow.operators.bash import BashOperator
   from datetime import datetime
   
   default_args = {
       'start_date': datetime(2023, 1, 1),
   }
   
   with DAG(
       dag_id='kubernetes_hello_world',
       default_args=default_args,
       schedule_interval=None,
       catchup=False,
       tags=['test'],
   ) as dag:
       hello_task = BashOperator(
           task_id='print_hello',
           executor='KubernetesExecutor',  # Warning!
           bash_command='echo "Hello, World from KubernetesExecutor!"'
       )
   ```
   
   Let me know if any additional clarification is needed!
   
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Re: [PR] Change default executor in pod template to support executor parameter in task [airflow]

Posted by "ihnokim (via GitHub)" <gi...@apache.org>.
ihnokim commented on PR #49428:
URL: https://github.com/apache/airflow/pull/49428#issuecomment-2814849542

   Closed in order to rename the branch for maintenance issue.
   Recreated new PR: https://github.com/apache/airflow/pull/49433


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Re: [PR] Change default executor in pod template to support executor parameter in task [airflow]

Posted by "ihnokim (via GitHub)" <gi...@apache.org>.
ihnokim closed pull request #49428: Change default executor in pod template to support executor parameter in task
URL: https://github.com/apache/airflow/pull/49428


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Re: [PR] Change default executor in pod template to support executor parameter in task [airflow]

Posted by "boring-cyborg[bot] (via GitHub)" <gi...@apache.org>.
boring-cyborg[bot] commented on PR #49428:
URL: https://github.com/apache/airflow/pull/49428#issuecomment-2814488405

   Congratulations on your first Pull Request and welcome to the Apache Airflow community! If you have any issues or are unsure about any anything please check our Contributors' Guide (https://github.com/apache/airflow/blob/main/contributing-docs/README.rst)
   Here are some useful points:
   - Pay attention to the quality of your code (ruff, mypy and type annotations). Our [pre-commits]( https://github.com/apache/airflow/blob/main/contributing-docs/08_static_code_checks.rst#prerequisites-for-pre-commit-hooks) will help you with that.
   - In case of a new feature add useful documentation (in docstrings or in `docs/` directory). Adding a new operator? Check this short [guide](https://github.com/apache/airflow/blob/main/airflow-core/docs/howto/custom-operator.rst) Consider adding an example DAG that shows how users should use it.
   - Consider using [Breeze environment](https://github.com/apache/airflow/blob/main/dev/breeze/doc/README.rst) for testing locally, it's a heavy docker but it ships with a working Airflow and a lot of integrations.
   - Be patient and persistent. It might take some time to get a review or get the final approval from Committers.
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