RNHTTR commented on a change in pull request #14883:
URL: https://github.com/apache/airflow/pull/14883#discussion_r606009786
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File path: airflow/executors/celery_executor.py
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@@ -543,20 +539,27 @@ def __init__(self, sync_parallelism=None):
super().__init__()
self._sync_parallelism = sync_parallelism
+ def _tasks_list_to_task_ids(self, async_tasks) -> Set[str]:
+ return {a.task_id for a in async_tasks}
+
def get_many(self, async_results) -> Mapping[str, EventBufferValueType]:
"""Gets status for many Celery tasks using the best method
available."""
if isinstance(app.backend, BaseKeyValueStoreBackend):
result = self._get_many_from_kv_backend(async_results)
- return result
- if isinstance(app.backend, DatabaseBackend):
+ elif isinstance(app.backend, DatabaseBackend):
result = self._get_many_from_db_backend(async_results)
- return result
- result = self._get_many_using_multiprocessing(async_results)
- self.log.debug("Fetched %d states for %d task", len(result),
len(async_results))
+ else:
+ async_results = list(async_results) if isinstance(async_results,
map) else async_results
Review comment:
Sounds good. PR updated. Any resources you recommend on diving into some
of airflow's trickier topics? I can't seem to find much on task adoption for
example. We run managed airflow, so a lot of airflow's challenging aspects are
abstracted away.
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