airflow.providers.google.cloud.hooks.kubernetes_engine
¶
This module contains a Google Kubernetes Engine Hook.
Module Contents¶
Classes¶
Hook for managing Google Kubernetes Engine cluster APIs. |
|
Hook implemented with usage of asynchronous client of GKE. |
|
Hook for managing Google Kubernetes Engine pod APIs. |
|
Hook for managing Google Kubernetes Engine pods APIs in asynchronous way. |
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
Hook for managing 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]¶
Given an operation, continuously fetches the status from Google Cloud until either completion or an error occurring
- 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]¶
Fetches the 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, including 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) – A boolean value which makes method to sleep while operation of deletion is not finished.
retry (Retry | _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
Operation | None
- create_cluster(cluster, project_id=PROVIDE_PROJECT_ID, wait_to_complete=True, retry=DEFAULT, timeout=None)[source]¶
Creates a cluster, consisting of the specified number and type of Google Compute Engine instances.
- Parameters
cluster (dict | 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 (Retry | _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
Operation | Cluster
- get_cluster(name, project_id=PROVIDE_PROJECT_ID, retry=DEFAULT, timeout=None)[source]¶
Gets details of specified cluster
- Parameters
name (str) – The name of the cluster to retrieve
project_id (str) – Google Cloud project ID
retry (Retry | _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.
- Returns
google.cloud.container_v1.types.Cluster
- Return type
- 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
Hook implemented with usage of 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
Hook for managing Google Kubernetes Engine pod APIs.
- 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
Hook for managing Google Kubernetes Engine pods APIs in asynchronous way.
- Parameters
- async read_logs(name, namespace)[source]¶
Reads 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.