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Coordinator: detect ambiguous entrypoints and duplicate dag_ids at import time
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上游 issue 正文
### Background
Subprocess coordinators can now locate language-SDK artifacts through a Dag bundle instead of
an explicit filesystem root (#70805). In the co-located default — no explicit root, no
`dag_bundle_name` — the coordinator scans the task's own Dag bundle.
For `JavaCoordinator` that makes an existing ambiguity the normal case rather than an edge case.
With `main_class` unset, `_JarInfo.find` returns the **first** JAR carrying a `Main-Class` in walk
order, and `_calculate_classpath` puts every JAR it found on the classpath:
https://github.com/apache/airflow/blob/3a08a3d7792335ac9456cd44c92d8de3ae0d6ec1/task-sdk/src/airflow/sdk/coordinators/java/coordinator.py#L126-L144
So a deployment that ships more than one executable JAR in a bundle gets a non-deterministic
entrypoint, and if two of those JARs declare the same `dag_id`, which definition actually runs
is decided by directory walk order. Nothing warns the user; the task simply runs whichever one
was reached first.
The Python path already handles the equivalent case: `_build_duplicate_dag_id_warnings` in
`airflow-core/src/airflow/dag_processing/collection.py:327` detects a `dag_id` registered from
more than one file and emits a `DagWarning(DUPLICATE_DAG_ID)`. Language-SDK Dags have no
equivalent, because parsing happens inside the subprocess and there is no import-stage channel
to report into.
#70805 documents the gap rather than closing it — it adds a TODO in
`_build_execute_task_command` (`task-sdk/src/airflow/sdk/coordinators/java/coordinator.py`) and a
note in `airflow-core/docs/authoring-and-scheduling/language-sdks/java.rst` telling users to set
`main_class` explicitly:
```python
# TODO: Scanning a whole Dag bundle without an explicit main_class lets
# _JarInfo.find pick the first executable JAR in walk order, so duplicate
# entrypoints across bundles resolve non-deterministically — the same
# duplicate-dag_id ambiguity the Python Dag path has. Reject it at the
# IMPORT_ERROR stage once AIP-85 exposes a…
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