AIRFLOW XCOM DELETE INSTALL

Temporary basis for debugging purposes and therefore pod deletion is the more sensible default.Īdd params config, in_cluster, and cluster_context to KubernetesHook (#19695) In practice it seems more common to disable pod deletion only on a Parameter is_delete_operator_pod default is changed to True so that pods are deleted after taskĬompletion and not left to accumulate. Mutation now occurs in build_pod_request_obj. The _mutation_hook is no longer called inĬ_pod_async. Other changes in pod_manager.py (formerly pod_launcher.py):Ĭlass pod_launcher.PodLauncher renamed to pod_manager.PodManagerĮnum-like class PodStatus is renamed PodPhase, and the values are no longer lower-cased. Method read_pod_logs now takes kwarg container_name Method _extract_xcom is renamed extract_xcom. These were needed due to the way in which pod phase was mapped to task instance states but we no longer do such a mapping and instead deal with pod phases directly and untransformed. Methods pod_not_started, pod_is_running, process_status, and _task_status are removed. Method monitor_pod is removed and split into methods follow_container_logs, await_container_completion, await_pod_completion Method start_pod is removed and split into two methods: create_pod and await_pod_start. In class PodManager (formerly PodLauncher): Again, see the calls to methods await_pod_start, follow_container_logs, await_container_completion and await_pod_completion. The monitoring etc is now orchestrated directly from execute. Now this logic is in part handled by get_or_create_pod, where a new pod will be created if necessary. Previously it would mutate the labels on self.pod, launch the pod, monitor the pod to completion etc. Method create_new_pod_for_operator is removed. Method _get_pod_identifying_label_string is renamed _build_find_pod_label_selector We also add parameter include_try_number to control the inclusion of this label instead of possibly filtering it out later. This method doesn’t return all labels, but only those specific to the TI. Method create_labels_for_pod is renamed _get_ti_pod_labels. It now takes argument context in order to add TI-specific pod labels previously they were added after return. Method create_pod_request_obj is renamed build_pod_request_obj. See methods await_pod_start, follow_container_logs, await_container_completion and await_pod_completion. With this change the pod monitoring (and log following) is orchestrated directly from execute and it is the same whether it’s a “found” pod or a “new” pod. Previously it monitored a “found” pod until completion. after an airflow worker failure) is moved out of execute and into method find_pod. Logic to search for an existing pod (e.g. Method create_pod_launcher is converted to cached property pod_managerĬonstruction of k8s CoreV1Api client is now encapsulated within cached property client Details on method renames, refactors, and deletions (if configured to delete the pod) and push XCom (if configured to push XCom). If the pod terminates successfully, we delete the pod KubernetesPodOperator.process_pod_deletion> We raise an AirflowException to fail the task instance. To delete its pod, we delete it KubernetesPodOperator.process_pod_deletion>. Indicating that the pod failed and should not be “reattached to” in a retry. IfĪdditionally the task is configured not to delete the pod after termination, we apply a label KubernetesPodOperator.patch_already_checked> If the pod terminates unsuccessfully, we attempt to log the pod events PodLauncher.read_pod_events>. after a worker failure) orĬreated anew, the waiting logic may have occurred in either handle_pod_overlap or create_new_pod_for_operator.Īfter the pod terminates, we execute different cleanup tasks depending on whether the pod terminated successfully. Previously, depending on whether the pod was “reattached to” (e.g.

Value from the base container, we await pod completion. Logs, the operator will instead KubernetesPodOperator.await_container_completionĮither way, we must await container completion before harvesting xcom. The operator will follow the base container logs and forward these logs to the task logger until Pending phase ( ~.KubernetesPodOperator.await_pod_start). The first step is to wait for the pod to leave the The “waiting” part of execution has three components. The package supports the following python versions: 3.7,3.8,3.9,3.10 Requirements

AIRFLOW XCOM DELETE INSTALL

Pip install apache-airflow-providers-cncf-kubernetes You can install this package on top of an existing Airflow 2 installation (see Requirements belowįor the minimum Airflow version supported) via

You can find package information and changelog for the provider All classes for this provider packageĪre in python package. This is a provider package for cncf.kubernetes provider.

Airflow xcom delete