ephraimbuddy commented on a change in pull request #15336:
URL: https://github.com/apache/airflow/pull/15336#discussion_r612022098
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File path: tests/executors/test_kubernetes_executor.py
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@@ -507,3 +506,113 @@ def test_process_status_catchall(self):
self._run()
self.watcher.watcher_queue.put.assert_not_called()
+
+ def test_container_status_of_terminating_fails_pod(self):
+ self.pod.status.phase = "Pending"
+ self.pod.status.container_statuses = [
+ k8s.V1ContainerStatus(
+ container_id=None,
+ image="apache/airflow:2.0.1-python3.8",
+ image_id="",
+ name="base",
+ ready="false",
+ restart_count=0,
+ state=k8s.V1ContainerState(
+ terminated=k8s.V1ContainerStateTerminated(
+ reason="Terminating", exit_code=1
Review comment:
> Have you seen, or can you recreate a `phase=Pending` and
`state.terminated` pod? I don't see how it is possible to have both.
>
> I've tried a few scenarios with both init containers and sidecars and
every case has resulted in the watcher marking it as failed (though maybe not
immediately, because `phase=Running`) - however the TI still gets marked as
success.
>
> Said another way, I think there are bugs around here, but I don't think
looking at stuff in `phase=Pending` will help?
The state.terminated is of the container inside the pod. It happens. This is
how you can reproduce it:
1. Checkout this PR,
2. Go to values.yaml and set `worker_container_repository: apache/airflow`,
`worker_container_tag: 2.0.1-python3.8`
3. Use breeze to start the cluster: `./breeze kind-cluster start`,
`./breeze kind-cluster deploy`
4. Monitor the pods in another terminal with k9s `./breeze kind-cluster k9s`
5. Check the scheduler logs, it will print the 'event' object at each
watcher run. Inspect the object and you'll see the pod phase and container
state.
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