ashb commented on code in PR #22976:
URL: https://github.com/apache/airflow/pull/22976#discussion_r892422290


##########
airflow/executors/kubernetes_executor.py:
##########
@@ -689,9 +689,14 @@ def _change_state(self, key: TaskInstanceKey, state: 
Optional[str], pod_id: str,
         self.event_buffer[key] = state, None
 
     def try_adopt_task_instances(self, tis: List[TaskInstance]) -> 
List[TaskInstance]:
-        tis_to_flush = [ti for ti in tis if not ti.queued_by_job_id]
-        scheduler_job_ids = {ti.queued_by_job_id for ti in tis}
-        pod_ids = {ti.key: ti for ti in tis if ti.queued_by_job_id}
+        scheduler_job_ids = {ti.queued_by_job_id for ti in tis if 
ti.queued_by_job_id}
+
+        # Tasks triggered through API will have no ti.queued_by_job_id
+        # and their pod will have label 'airflow-worker=manual'
+        if any(ti for ti in tis if not ti.queued_by_job_id):
+            scheduler_job_ids.add('manual')

Review Comment:
   This introduces a new race condition with multiple schedulers:
   
   If there is a manually launched task, and two schedulers both try to adopt 
this task, one of them will win (as in the label will be changed) but both 
schedulers will end up adding the pod to their `running` list.



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