airflow.providers.google.cloud.hooks.kubernetes_engine
¶
This module contains a Google Kubernetes Engine Hook.
Module Contents¶
Classes¶
Google Kubernetes Engine cluster APIs. |
|
Asynchronous client of GKE. |
|
Google Kubernetes Engine pod APIs. |
|
Google Kubernetes Engine pods APIs asynchronously. |
Attributes¶
- class airflow.providers.google.cloud.hooks.kubernetes_engine.GKEHook(gcp_conn_id='google_cloud_default', location=None, impersonation_chain=None, **kwargs)[source]¶
Bases:
airflow.providers.google.common.hooks.base_google.GoogleBaseHook
Google Kubernetes Engine cluster APIs.
All the methods in the hook where project_id is used must be called with keyword arguments rather than positional.
- wait_for_operation(operation, project_id=None)[source]¶
Continuously fetch the status from Google Cloud.
This is done until the given operation completes, or raises an error.
- Parameters
operation (google.cloud.container_v1.types.Operation) – The Operation to wait for.
project_id (str | None) – Google Cloud project ID.
- Returns
A new, updated operation fetched from Google Cloud.
- Return type
- get_operation(operation_name, project_id=None)[source]¶
Get an operation from Google Cloud.
- Parameters
- Returns
The new, updated operation from Google Cloud
- Return type
- delete_cluster(name, project_id=PROVIDE_PROJECT_ID, wait_to_complete=True, retry=DEFAULT, timeout=None)[source]¶
Deletes the cluster, the Kubernetes endpoint, and all worker nodes.
Firewalls and routes that were configured during cluster creation are also deleted. Other Google Compute Engine resources that might be in use by the cluster (e.g. load balancer resources) will not be deleted if they were not present at the initial create time.
- Parameters
name (str) – The name of the cluster to delete.
project_id (str) – Google Cloud project ID.
wait_to_complete (bool) – If True, wait until the deletion is finished before returning.
retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – Retry object used to determine when/if to retry requests. If None is specified, requests will not be retried.
timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
- Returns
The full url to the delete operation if successful, else None.
- Return type
- create_cluster(cluster, project_id=PROVIDE_PROJECT_ID, wait_to_complete=True, retry=DEFAULT, timeout=None)[source]¶
Create a cluster.
This should consist of the specified number, and the type of Google Compute Engine instances.
- Parameters
cluster (dict | google.cloud.container_v1.types.Cluster) – A Cluster protobuf or dict. If dict is provided, it must be of the same form as the protobuf message
google.cloud.container_v1.types.Cluster
.project_id (str) – Google Cloud project ID.
wait_to_complete (bool) – A boolean value which makes method to sleep while operation of creation is not finished.
retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object (
google.api_core.retry.Retry
) used to retry requests. If None is specified, requests will not be retried.timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
- Returns
The full url to the new, or existing, cluster.
- Raises
ParseError – On JSON parsing problems when trying to convert dict.
AirflowException – cluster is not dict type nor Cluster proto type.
- Return type
google.cloud.container_v1.types.Operation | google.cloud.container_v1.types.Cluster
- get_cluster(name, project_id=PROVIDE_PROJECT_ID, retry=DEFAULT, timeout=None)[source]¶
Get details of specified cluster.
- Parameters
name (str) – The name of the cluster to retrieve.
project_id (str) – Google Cloud project ID.
retry (google.api_core.retry.Retry | google.api_core.gapic_v1.method._MethodDefault) – A retry object used to retry requests. If None is specified, requests will not be retried.
timeout (float | None) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
- class airflow.providers.google.cloud.hooks.kubernetes_engine.GKEAsyncHook(gcp_conn_id='google_cloud_default', location=None, impersonation_chain=None)[source]¶
Bases:
airflow.providers.google.common.hooks.base_google.GoogleBaseAsyncHook
Asynchronous client of GKE.
- class airflow.providers.google.cloud.hooks.kubernetes_engine.GKEPodHook(cluster_url, ssl_ca_cert, *args, **kwargs)[source]¶
Bases:
airflow.providers.google.common.hooks.base_google.GoogleBaseHook
,airflow.providers.cncf.kubernetes.utils.pod_manager.PodOperatorHookProtocol
Google Kubernetes Engine pod APIs.
- property is_in_cluster: bool[source]¶
Expose whether the hook is configured with
load_incluster_config
or not.
- get_xcom_sidecar_container_image()[source]¶
Get the xcom sidecar image defined in the connection.
Implemented for compatibility with KubernetesHook.
- class airflow.providers.google.cloud.hooks.kubernetes_engine.GKEPodAsyncHook(cluster_url, ssl_ca_cert, **kwargs)[source]¶
Bases:
airflow.providers.google.common.hooks.base_google.GoogleBaseAsyncHook
Google Kubernetes Engine pods APIs asynchronously.
- Parameters
- async read_logs(name, namespace)[source]¶
Read logs inside the pod while starting containers inside.
All the logs will be outputted with its timestamp to track the logs after the execution of the pod is completed. The method is used for async output of the logs only in the pod failed it execution or the task was cancelled by the user.