Handle no next run in dags next-execution --table

airflow-core/src/airflow/cli/commands/dag_command.py

@@ -368,7 +368,18 @@ def iter_next_dagrun_info() -> Iterator[DagRunInfo | None]:
         else:
             columns = ["logical_date", "data_interval.start", "data_interval.end", "run_after"]
         getters = [(c, operator.attrgetter(c)) for c in columns]
-        AirflowConsole().print_as_table([{n: f(o) for n, f in getters} for o in iter_next_dagrun_info()])
+        rows = []
+        for info in iter_next_dagrun_info():
+            if info is None:
+                print(
+                    "[WARN] No following schedule can be found. "
+                    "This DAG may have schedule interval '@once' or `None`.",
+                    file=sys.stderr,
+                )
+                break
+            rows.append({n: f(info) for n, f in getters})
+        if rows:
+            AirflowConsole().print_as_table(rows)
         return
 
     if args.field:

airflow-core/tests/unit/cli/commands/test_dag_command.py

@@ -272,6 +272,64 @@ def test_next_execution(self, dag_id, delta, schedule, catchup, first, second, t
         clear_db_dags()
         parse_and_sync_to_db(os.devnull, include_examples=True)
 
+    def test_next_execution_table_with_no_schedule(self, tmp_path, capsys):
+        dag_id = "future_schedule_none_table"
+        file_content = os.linesep.join(
+            [
+                "from airflow import DAG",
+                "from airflow.providers.standard.operators.empty import EmptyOperator",
+                "from datetime import timedelta; from pendulum import today",
+                f"dag = DAG('{dag_id}', start_date=today(tz='UTC') + timedelta(days=5), schedule=None, catchup=True)",
+                "task = EmptyOperator(task_id='empty_task',dag=dag)",
+            ]
+        )
+        dag_file = tmp_path / f"{dag_id}.py"
+        dag_file.write_text(file_content)
+
+        with time_machine.travel(DEFAULT_DATE):
+            clear_db_dags()
+            parse_and_sync_to_db(tmp_path, include_examples=False)
+
+        args = self.parser.parse_args(["dags", "next-execution", dag_id, "--table"])
+        dag_command.dag_next_execution(args)
+        captured = capsys.readouterr()
+
+        assert captured.out == ""
+        assert "[WARN] No following schedule can be found." in captured.err
+
+        clear_db_dags()
+        parse_and_sync_to_db(os.devnull, include_examples=True)
+
+    def test_next_execution_table_with_once_and_multiple_executions(self, tmp_path, capsys):
+        dag_id = "past_schedule_once_table"
+        file_content = os.linesep.join(
+            [
+                "from airflow import DAG",
+                "from airflow.providers.standard.operators.empty import EmptyOperator",
+                "from datetime import timedelta; from pendulum import today",
+                f"dag = DAG('{dag_id}', start_date=today(tz='UTC') + timedelta(days=-5), schedule='@once', catchup=True)",
+                "task = EmptyOperator(task_id='empty_task',dag=dag)",
+            ]
+        )
+        dag_file = tmp_path / f"{dag_id}.py"
+        dag_file.write_text(file_content)
+
+        with time_machine.travel(DEFAULT_DATE):
+            clear_db_dags()
+            parse_and_sync_to_db(tmp_path, include_examples=False)
+
+        args = self.parser.parse_args(
+            ["dags", "next-execution", dag_id, "--table", "--num-executions", "2"]
+        )
+        dag_command.dag_next_execution(args)
+        captured = capsys.readouterr()
+
+        assert dec_27.isoformat() in captured.out
+        assert "[WARN] No following schedule can be found." in captured.err
+
+        clear_db_dags()
+        parse_and_sync_to_db(os.devnull, include_examples=True)
+
     @conf_vars({("core", "load_examples"): "true"})
     def test_cli_report(self, stdout_capture):
         args = self.parser.parse_args(["dags", "report", "--output", "json"])