Configuring SequentialExecutor results in very non-obvious error #48765
Description
Body
If sequential executor is configured, an unhelpful error is emitted
It should make it clear that SequentialExecutor is disabled.
Maybe it should even "upgrade" to local executor?
[2025-04-03T12:43:19.920-0700] {cli_parser.py:68} ERROR - Failed to load CLI commands from executor: ::SequentialExecutor
Traceback (most recent call last):
File "/Users/dstandish/code/airflow/airflow-core/src/airflow/utils/module_loading.py", line 35, in import_string
module_path, class_name = dotted_path.rsplit(".", 1)
ValueError: not enough values to unpack (expected 2, got 1)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/dstandish/code/airflow/airflow-core/src/airflow/cli/cli_parser.py", line 65, in <module>
executor, _ = ExecutorLoader.import_executor_cls(executor_name)
File "/Users/dstandish/code/airflow/airflow-core/src/airflow/executors/executor_loader.py", line 291, in import_executor_cls
return import_string(executor_name.module_path), executor_name.connector_source
File "/Users/dstandish/code/airflow/airflow-core/src/airflow/utils/module_loading.py", line 37, in import_string
raise ImportError(f"{dotted_path} doesn't look like a module path")
ImportError: SequentialExecutor doesn't look like a module path
[2025-04-03T12:43:19.926-0700] {cli_parser.py:69} ERROR - Ensure all dependencies are met and try again. If using a Celery based executor install a 3.3.0+ version of the Celery provider. If using a Kubernetes executor, install a 7.4.0+ version of the CNCF provider
[2025-04-03T12:43:21.132-0700] {db.py:1282} INFO - Connection successful.
To repro, set AIRFLOW__CORE__EXECUTOR=SequentialExecutor and run airflow db check
Committer
- I acknowledge that I am a maintainer/committer of the Apache Airflow project.