droppoint commented on code in PR #35800:
URL: https://github.com/apache/airflow/pull/35800#discussion_r1434000069
##########
airflow/providers/cncf/kubernetes/executors/kubernetes_executor.py:
##########
@@ -642,38 +642,37 @@ def adopt_launched_task(
del tis_to_flush_by_key[ti_key]
self.running.add(ti_key)
- def _adopt_completed_pods(self, kube_client: client.CoreV1Api) -> None:
+ @provide_session
+ def _delete_orphaned_completed_pods(self, session: Session = NEW_SESSION)
-> None:
"""
- Patch completed pods so that the KubernetesJobWatcher can delete them.
+ Delete orphaned completed pods with completed TaskInstances.
- :param kube_client: kubernetes client for speaking to kube API
+ Pods that have reached the Completed status are usually deleted by the
scheduler to which
+ they are attached. In case when the scheduler crashes, there is no one
to delete these
+ pods. Therefore, they are deleted from another scheduler using this
function.
"""
+ from airflow.jobs.job import Job, JobState
+
if TYPE_CHECKING:
- assert self.scheduler_job_id
+ assert self.kube_scheduler
- new_worker_id_label =
self._make_safe_label_value(self.scheduler_job_id)
- query_kwargs = {
- "field_selector": "status.phase=Succeeded",
- "label_selector": (
- "kubernetes_executor=True,"
-
f"airflow-worker!={new_worker_id_label},{POD_EXECUTOR_DONE_KEY}!=True"
- ),
- }
+ alive_schedulers_ids = session.scalars(
+ select(Job.id).where(Job.job_type == "SchedulerJob", Job.state ==
JobState.RUNNING)
+ ).all()
+ labels = ["kubernetes_executor=True", f"{POD_EXECUTOR_DONE_KEY}!=True"]
+ for alive_scheduler_id in alive_schedulers_ids:
+
labels.append(f"airflow-worker!={self._make_safe_label_value(str(alive_scheduler_id))}")
+
+ query_kwargs = {"field_selector": "status.phase=Succeeded",
"label_selector": ",".join(labels)}
pod_list = self._list_pods(query_kwargs)
for pod in pod_list:
- self.log.info("Attempting to adopt pod %s", pod.metadata.name)
from kubernetes.client.rest import ApiException
try:
- kube_client.patch_namespaced_pod(
- name=pod.metadata.name,
- namespace=pod.metadata.namespace,
- body={"metadata": {"labels": {"airflow-worker":
new_worker_id_label}}},
- )
+ self.kube_scheduler.delete_pod(pod_name=pod.metadata.name,
namespace=pod.metadata.namespace)
+ self.log.info("Orphaned completed pod %s has been deleted",
pod.metadata.name)
except ApiException as e:
- self.log.info("Failed to adopt pod %s. Reason: %s",
pod.metadata.name, e)
- ti_id = annotations_to_key(pod.metadata.annotations)
- self.running.add(ti_id)
Review Comment:
Ok we'll try to refactor this function to it's initial state + change kube
selector to adopt pods only from failed scheduler + add continue to the except
block. We will run this patch on our airflow setup and will comeback with the
results.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
