pankajastro commented on code in PR #30074:
URL: https://github.com/apache/airflow/pull/30074#discussion_r1136654225


##########
airflow/providers/microsoft/azure/operators/data_factory.py:
##########
@@ -169,21 +176,55 @@ def execute(self, context: Context) -> None:
         context["ti"].xcom_push(key="run_id", value=self.run_id)
 
         if self.wait_for_termination:
-            self.log.info("Waiting for pipeline run %s to terminate.", 
self.run_id)
-
-            if self.hook.wait_for_pipeline_run_status(
-                run_id=self.run_id,
-                expected_statuses=AzureDataFactoryPipelineRunStatus.SUCCEEDED,
-                check_interval=self.check_interval,
-                timeout=self.timeout,
-                resource_group_name=self.resource_group_name,
-                factory_name=self.factory_name,
-            ):
-                self.log.info("Pipeline run %s has completed successfully.", 
self.run_id)
+            if self.deferrable is False:
+                self.log.info("Waiting for pipeline run %s to terminate.", 
self.run_id)
+
+                if self.hook.wait_for_pipeline_run_status(
+                    run_id=self.run_id,
+                    
expected_statuses=AzureDataFactoryPipelineRunStatus.SUCCEEDED,
+                    check_interval=self.check_interval,
+                    timeout=self.timeout,
+                    resource_group_name=self.resource_group_name,
+                    factory_name=self.factory_name,
+                ):
+                    self.log.info("Pipeline run %s has completed 
successfully.", self.run_id)
+                else:
+                    raise AzureDataFactoryPipelineRunException(
+                        f"Pipeline run {self.run_id} has failed or has been 
cancelled."
+                    )
             else:
-                raise AzureDataFactoryPipelineRunException(
-                    f"Pipeline run {self.run_id} has failed or has been 
cancelled."
+                end_time = time.time() + self.timeout
+                self.defer(
+                    timeout=self.execution_timeout,
+                    trigger=AzureDataFactoryTrigger(
+                        
azure_data_factory_conn_id=self.azure_data_factory_conn_id,
+                        run_id=self.run_id,
+                        wait_for_termination=self.wait_for_termination,
+                        resource_group_name=self.resource_group_name,
+                        factory_name=self.factory_name,
+                        check_interval=self.check_interval,
+                        end_time=end_time,
+                    ),
+                    method_name="execute_complete",
+                )
+        else:
+            if self.deferrable is True:
+                warnings.warn(

Review Comment:
   hmm, no strong opinion but in 4th case(In link comment), I'll slightly 
prefer to raise error since 1st three handle all the scenario (sync_mode => 
wait, no_wait, async_mode => wait, no_wait) so 4th once should be invalid 
param. But as mentioned no strong opinion  



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