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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2022/10/10 17:39:58 UTC

[GitHub] [airflow] dstandish commented on a diff in pull request #23829: Add disable retry flag on backfill

dstandish commented on code in PR #23829:
URL: https://github.com/apache/airflow/pull/23829#discussion_r991513061


##########
tests/jobs/test_backfill_job.py:
##########
@@ -1812,3 +1812,41 @@ def test_task_instances_are_not_set_to_scheduled_when_dagrun_reset(self, dag_mak
             states = [ti.state for _, ti in tasks_to_run.items()]
             assert TaskInstanceState.SCHEDULED in states
             assert State.NONE in states
+
+    def test_backfill_disable_retry(self, dag_maker):
+        with dag_maker(
+            dag_id='test_disable_retry',
+            schedule_interval="@daily",
+            default_args={
+                'retries': 3,
+                'retry_delay': datetime.timedelta(seconds=3),
+            },
+        ) as dag:
+            task1 = EmptyOperator(task_id="task1")
+        dag_run = dag_maker.create_dagrun(state=None)
+
+        executor = MockExecutor(parallelism=16)
+        executor.mock_task_results[
+            TaskInstanceKey(dag.dag_id, task1.task_id, dag_run.run_id, try_number=1)
+        ] = State.UP_FOR_RETRY
+        executor.mock_task_results[
+            TaskInstanceKey(dag.dag_id, task1.task_id, dag_run.run_id, try_number=2)
+        ] = State.UP_FOR_RETRY
+        job = BackfillJob(
+            dag=dag,
+            executor=executor,
+            start_date=DEFAULT_DATE,
+            end_date=DEFAULT_DATE,
+            disable_retry=True,
+        )
+        with pytest.raises(BackfillUnfinished):
+            job.run()
+        ti = dag_run.get_task_instance(task_id=task1.task_id)
+
+        assert ti._try_number == 1

Review Comment:
   what's the purpose of mocking try number 2 above if it still ends up having try number 1 here?



##########
tests/jobs/test_backfill_job.py:
##########
@@ -1812,3 +1812,41 @@ def test_task_instances_are_not_set_to_scheduled_when_dagrun_reset(self, dag_mak
             states = [ti.state for _, ti in tasks_to_run.items()]
             assert TaskInstanceState.SCHEDULED in states
             assert State.NONE in states
+
+    def test_backfill_disable_retry(self, dag_maker):
+        with dag_maker(
+            dag_id='test_disable_retry',
+            schedule_interval="@daily",
+            default_args={
+                'retries': 3,
+                'retry_delay': datetime.timedelta(seconds=3),
+            },
+        ) as dag:
+            task1 = EmptyOperator(task_id="task1")
+        dag_run = dag_maker.create_dagrun(state=None)
+
+        executor = MockExecutor(parallelism=16)
+        executor.mock_task_results[
+            TaskInstanceKey(dag.dag_id, task1.task_id, dag_run.run_id, try_number=1)
+        ] = State.UP_FOR_RETRY
+        executor.mock_task_results[
+            TaskInstanceKey(dag.dag_id, task1.task_id, dag_run.run_id, try_number=2)
+        ] = State.UP_FOR_RETRY
+        job = BackfillJob(
+            dag=dag,
+            executor=executor,
+            start_date=DEFAULT_DATE,
+            end_date=DEFAULT_DATE,
+            disable_retry=True,
+        )
+        with pytest.raises(BackfillUnfinished):
+            job.run()
+        ti = dag_run.get_task_instance(task_id=task1.task_id)
+
+        assert ti._try_number == 1
+
+        dag_run.refresh_from_db()
+
+        assert State.FAILED == dag_run.state

Review Comment:
   ```suggestion
           dag_run.state == assert State.FAILED
   ```
   asserts are `actual == expected`



##########
tests/jobs/test_backfill_job.py:
##########
@@ -1812,3 +1812,41 @@ def test_task_instances_are_not_set_to_scheduled_when_dagrun_reset(self, dag_mak
             states = [ti.state for _, ti in tasks_to_run.items()]
             assert TaskInstanceState.SCHEDULED in states
             assert State.NONE in states
+
+    def test_backfill_disable_retry(self, dag_maker):
+        with dag_maker(
+            dag_id='test_disable_retry',
+            schedule_interval="@daily",
+            default_args={
+                'retries': 3,
+                'retry_delay': datetime.timedelta(seconds=3),
+            },
+        ) as dag:
+            task1 = EmptyOperator(task_id="task1")
+        dag_run = dag_maker.create_dagrun(state=None)
+
+        executor = MockExecutor(parallelism=16)
+        executor.mock_task_results[
+            TaskInstanceKey(dag.dag_id, task1.task_id, dag_run.run_id, try_number=1)
+        ] = State.UP_FOR_RETRY
+        executor.mock_task_results[
+            TaskInstanceKey(dag.dag_id, task1.task_id, dag_run.run_id, try_number=2)
+        ] = State.UP_FOR_RETRY
+        job = BackfillJob(
+            dag=dag,
+            executor=executor,
+            start_date=DEFAULT_DATE,
+            end_date=DEFAULT_DATE,
+            disable_retry=True,
+        )
+        with pytest.raises(BackfillUnfinished):
+            job.run()
+        ti = dag_run.get_task_instance(task_id=task1.task_id)
+
+        assert ti._try_number == 1
+
+        dag_run.refresh_from_db()
+
+        assert State.FAILED == dag_run.state

Review Comment:
   one thing i recommend you do is parametrize this test with args  `disable_retry, expected` (values [True, FAILED] and [False, UP_FOR_RETRY] ) 
   
   this isn't a bad thing to verify, but it also makes it really clear for a reviewer that the test is working properly.  e.g. what if the task happened to be in failed for some reason other than the logic you added.



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