`airflow.providers.google.cloud.operators.kubernetes_engine`¶

This module contains Google Kubernetes Engine operators.

Module Contents¶

Classes¶

`GKEClusterAuthDetails`	Helper for fetching information about cluster for connecting.
`GKEDeleteClusterOperator`	Deletes the cluster, including the Kubernetes endpoint and all worker nodes.
`GKECreateClusterOperator`	Create a Google Kubernetes Engine Cluster of specified dimensions and wait until the cluster is created.
`GKEStartKueueInsideClusterOperator`	Installs Kueue of specific version inside Cluster.
`GKEStartPodOperator`	Executes a task in a Kubernetes pod in the specified Google Kubernetes Engine cluster.
`GKEStartJobOperator`	Executes a Kubernetes job in the specified Google Kubernetes Engine cluster.
`GKEDescribeJobOperator`	Retrieve information about Job by given name.
`GKEListJobsOperator`	Retrieve list of Jobs.
`GKECreateCustomResourceOperator`	Create a resource in the specified Google Kubernetes Engine cluster.
`GKEDeleteCustomResourceOperator`	Delete a resource in the specified Google Kubernetes Engine cluster.
`GKEStartKueueJobOperator`	Executes a Kubernetes Job in Kueue in the specified Google Kubernetes Engine cluster.
`GKEDeleteJobOperator`	Delete a Kubernetes job in the specified Google Kubernetes Engine cluster.
`GKESuspendJobOperator`	Suspend Job by given name.
`GKEResumeJobOperator`	Resume Job by given name.

Attributes¶

KUBE_CONFIG_ENV_VAR

airflow.providers.google.cloud.operators.kubernetes_engine.KUBE_CONFIG_ENV_VAR = 'KUBECONFIG'[source]¶

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEClusterAuthDetails(cluster_name, project_id, use_internal_ip, cluster_hook)[source]¶

Helper for fetching information about cluster for connecting.

Parameters

cluster_name – The name of the Google Kubernetes Engine cluster.
project_id – The Google Developers Console project id.
use_internal_ip – Use the internal IP address as the endpoint.
cluster_hook – airflow hook for working with kubernetes cluster.

fetch_cluster_info()[source]¶

Fetch cluster info for connecting to it.

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEDeleteClusterOperator(*, name, location, project_id=PROVIDE_PROJECT_ID, gcp_conn_id='google_cloud_default', api_version='v2', impersonation_chain=None, deferrable=conf.getboolean('operators', 'default_deferrable', fallback=False), poll_interval=10, **kwargs)[source]¶

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Deletes the cluster, including the Kubernetes endpoint and all worker nodes.

To delete a certain cluster, you must specify the project_id, the name of the cluster, the location that the cluster is in, and the task_id.

Operator Creation:

operator = GKEClusterDeleteOperator(
            task_id='cluster_delete',
            project_id='my-project',
            location='cluster-location'
            name='cluster-name')

See also

For more detail about deleting clusters have a look at the reference: https://google-cloud-python.readthedocs.io/en/latest/container/gapic/v1/api.html#google.cloud.container_v1.ClusterManagerClient.delete_cluster

See also

For more information on how to use this operator, take a look at the guide: Delete GKE cluster

Parameters

project_id (str) – The Google Developers Console [project ID or project number]
name (str) – The name of the resource to delete, in this case cluster name
location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides.
gcp_conn_id (str) – The connection ID to use connecting to Google Cloud.
api_version (str) – The api version to use
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).
deferrable (bool) – Run operator in the deferrable mode.
poll_interval (int) – Interval size which defines how often operation status is checked.

template_fields: collections.abc.Sequence[str] = ('project_id', 'gcp_conn_id', 'name', 'location', 'api_version', 'impersonation_chain')[source]¶

execute(context)[source]¶

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

execute_complete(context, event)[source]¶

Execute after trigger job is done.

class airflow.providers.google.cloud.operators.kubernetes_engine.GKECreateClusterOperator(*, location, body, project_id=PROVIDE_PROJECT_ID, gcp_conn_id='google_cloud_default', api_version='v2', impersonation_chain=None, poll_interval=10, deferrable=conf.getboolean('operators', 'default_deferrable', fallback=False), **kwargs)[source]¶

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Create a Google Kubernetes Engine Cluster of specified dimensions and wait until the cluster is created.

The minimum required to define a cluster to create is:

dict() ::: cluster_def = {“name”: “my-cluster-name”, “initial_node_count”: 1}

or

Cluster proto ::

from google.cloud.container_v1.types import Cluster

cluster_def = Cluster(name=”my-cluster-name”, initial_node_count=1)

Operator Creation:

operator = GKEClusterCreateOperator(
            task_id='cluster_create',
            project_id='my-project',
            location='my-location'
            body=cluster_def)

See also

For more detail on about creating clusters have a look at the reference: google.cloud.container_v1.types.Cluster

See also

For more information on how to use this operator, take a look at the guide: Create GKE cluster

Parameters

project_id (str) – The Google Developers Console [project ID or project number]
location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides.
body (dict | google.cloud.container_v1.types.Cluster) – The Cluster definition to create, can be protobuf or python dict, if dict it must match protobuf message Cluster
gcp_conn_id (str) – The connection ID to use connecting to Google Cloud.
api_version (str) – The api version to use
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).
deferrable (bool) – Run operator in the deferrable mode.
poll_interval (int) – Interval size which defines how often operation status is checked.

template_fields: collections.abc.Sequence[str] = ('project_id', 'gcp_conn_id', 'location', 'api_version', 'body', 'impersonation_chain')[source]¶

operator_extra_links = ()[source]¶

execute(context)[source]¶

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

execute_complete(context, event)[source]¶

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEStartKueueInsideClusterOperator(*, location, cluster_name, kueue_version, use_internal_ip=False, project_id=PROVIDE_PROJECT_ID, gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]¶

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Installs Kueue of specific version inside Cluster.

See also

For more information on how to use this operator, take a look at the guide: Install Kueue of specific version inside Cluster

See also

For more details about Kueue have a look at the reference: https://kueue.sigs.k8s.io/docs/overview/

Parameters

project_id (str) – The Google Developers Console [project ID or project number].
location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides.
cluster_name (str) – The Cluster name in which to install Kueue.
kueue_version (str) – Version of Kueue to install.
gcp_conn_id (str) – The connection ID to use connecting to Google Cloud.
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str] = ('project_id', 'location', 'kueue_version', 'cluster_name', 'gcp_conn_id', 'impersonation_chain')[source]¶

operator_extra_links = ()[source]¶

cluster_hook()[source]¶

deployment_hook()[source]¶

pod_hook()[source]¶

execute(context)[source]¶

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEStartPodOperator(*, location, cluster_name, use_internal_ip=False, project_id=PROVIDE_PROJECT_ID, gcp_conn_id='google_cloud_default', impersonation_chain=None, regional=None, on_finish_action=None, is_delete_operator_pod=None, **kwargs)[source]¶

Bases: airflow.providers.cncf.kubernetes.operators.pod.KubernetesPodOperator

Executes a task in a Kubernetes pod in the specified Google Kubernetes Engine cluster.

This Operator assumes that the system has gcloud installed and has configured a connection id with a service account.

The minimum required to define a cluster to create are the variables task_id, project_id, location, cluster_name, name, namespace, and image

See also

For more detail about Kubernetes Engine authentication have a look at the reference: https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl#internal_ip

See also

For more information on how to use this operator, take a look at the guide: Run a Pod on a GKE cluster

Parameters

location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides, e.g. ‘us-central1-a’
cluster_name (str) – The name of the Google Kubernetes Engine cluster the pod should be spawned in
use_internal_ip (bool) – Use the internal IP address as the endpoint.
project_id (str) – The Google Developers Console project id
gcp_conn_id (str) – The Google cloud connection id to use. This allows for users to specify a service account.
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).
regional (bool | None) – The location param is region name.
deferrable – Run operator in the deferrable mode.
on_finish_action (str | None) – What to do when the pod reaches its final state, or the execution is interrupted. If “delete_pod”, the pod will be deleted regardless its state; if “delete_succeeded_pod”, only succeeded pod will be deleted. You can set to “keep_pod” to keep the pod. Current default is keep_pod, but this will be changed in the next major release of this provider.
is_delete_operator_pod (bool | None) – What to do when the pod reaches its final state, or the execution is interrupted. If True, delete the pod; if False, leave the pod. Current default is False, but this will be changed in the next major release of this provider. Deprecated - use on_finish_action instead.

template_fields: collections.abc.Sequence[str][source]¶

operator_extra_links = ()[source]¶

cluster_hook()[source]¶

hook()[source]¶

execute(context)[source]¶

Execute process of creating pod and executing provided command inside it.

fetch_cluster_info()[source]¶

Fetch cluster info for connecting to it.

invoke_defer_method(last_log_time=None)[source]¶

Redefine triggers which are being used in child classes.

execute_complete(context, event, **kwargs)[source]¶

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEStartJobOperator(*, location, cluster_name, use_internal_ip=False, project_id=PROVIDE_PROJECT_ID, gcp_conn_id='google_cloud_default', impersonation_chain=None, deferrable=conf.getboolean('operators', 'default_deferrable', fallback=False), job_poll_interval=10.0, **kwargs)[source]¶

Bases: airflow.providers.cncf.kubernetes.operators.job.KubernetesJobOperator

Executes a Kubernetes job in the specified Google Kubernetes Engine cluster.

This Operator assumes that the system has gcloud installed and has configured a connection id with a service account.

The minimum required to define a cluster to create are the variables task_id, project_id, location, cluster_name, name, namespace, and image

See also

For more detail about Kubernetes Engine authentication have a look at the reference: https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl#internal_ip

See also

For more information on how to use this operator, take a look at the guide: Run a Job on a GKE cluster

Parameters

location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides, e.g. ‘us-central1-a’
cluster_name (str) – The name of the Google Kubernetes Engine cluster
use_internal_ip (bool) – Use the internal IP address as the endpoint.
project_id (str) – The Google Developers Console project id
gcp_conn_id (str) – The Google cloud connection id to use. This allows for users to specify a service account.
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).
location – The location param is region name.
deferrable (bool) – Run operator in the deferrable mode.
poll_interval – (Deferrable mode only) polling period in seconds to check for the status of job.

template_fields: collections.abc.Sequence[str][source]¶

operator_extra_links = ()[source]¶

cluster_hook()[source]¶

hook()[source]¶

execute(context)[source]¶

Execute process of creating Job.

execute_deferrable()[source]¶

execute_complete(context, event, **kwargs)[source]¶

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEDescribeJobOperator(*, job_name, location, namespace, cluster_name, project_id=PROVIDE_PROJECT_ID, use_internal_ip=False, gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]¶

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Retrieve information about Job by given name.

See also

For more information on how to use this operator, take a look at the guide: Retrieve information about Job by given name

Parameters

job_name (str) – The name of the Job to delete
project_id (str) – The Google Developers Console project id.
location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides.
cluster_name (str) – The name of the Google Kubernetes Engine cluster.
namespace (str) – The name of the Google Kubernetes Engine namespace.
use_internal_ip (bool) – Use the internal IP address as the endpoint.
gcp_conn_id (str) – The connection ID to use connecting to Google Cloud.
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str] = ('project_id', 'gcp_conn_id', 'job_name', 'namespace', 'cluster_name', 'location', 'impersonation_chain')[source]¶

operator_extra_links = ()[source]¶

cluster_hook()[source]¶

hook()[source]¶

execute(context)[source]¶

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEListJobsOperator(*, location, cluster_name, namespace=None, project_id=PROVIDE_PROJECT_ID, use_internal_ip=False, do_xcom_push=True, gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]¶

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Retrieve list of Jobs.

If namespace parameter is specified, the list of Jobs from dedicated namespace will be retrieved. If no namespace specified, it will output Jobs from all namespaces.

See also

For more information on how to use this operator, take a look at the guide: Retrieve list of Jobs

Parameters

project_id (str) – The Google Developers Console project id.
location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides.
cluster_name (str) – The name of the Google Kubernetes Engine cluster.
namespace (str | None) – The name of the Google Kubernetes Engine namespace.
use_internal_ip (bool) – Use the internal IP address as the endpoint.
gcp_conn_id (str) – The connection ID to use connecting to Google Cloud.
do_xcom_push (bool) – If set to True the result list of Jobs will be pushed to the task result.
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str] = ('project_id', 'gcp_conn_id', 'namespace', 'cluster_name', 'location', 'impersonation_chain')[source]¶

operator_extra_links = ()[source]¶

cluster_hook()[source]¶

hook()[source]¶

execute(context)[source]¶

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.kubernetes_engine.GKECreateCustomResourceOperator(*, location, cluster_name, use_internal_ip=False, project_id=PROVIDE_PROJECT_ID, gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]¶

Bases: airflow.providers.cncf.kubernetes.operators.resource.KubernetesCreateResourceOperator

Create a resource in the specified Google Kubernetes Engine cluster.

This Operator assumes that the system has gcloud installed and has configured a connection id with a service account.

See also

For more detail about Kubernetes Engine authentication have a look at the reference: https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl#internal_ip

See also

For more information on how to use this operator, take a look at the guide: Create a resource in a GKE cluster

Parameters

location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides, e.g. ‘us-central1-a’
cluster_name (str) – The name of the Google Kubernetes Engine cluster.
use_internal_ip (bool) – Use the internal IP address as the endpoint.
project_id (str) – The Google Developers Console project id
gcp_conn_id (str) – The Google cloud connection id to use. This allows for users to specify a service account.
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]¶

cluster_hook()[source]¶

hook()[source]¶

execute(context)[source]¶

Execute process of creating Custom Resource.

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEDeleteCustomResourceOperator(*, location, cluster_name, use_internal_ip=False, project_id=PROVIDE_PROJECT_ID, gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]¶

Bases: airflow.providers.cncf.kubernetes.operators.resource.KubernetesDeleteResourceOperator

Delete a resource in the specified Google Kubernetes Engine cluster.

This Operator assumes that the system has gcloud installed and has configured a connection id with a service account.

See also

For more detail about Kubernetes Engine authentication have a look at the reference: https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl#internal_ip

See also

For more information on how to use this operator, take a look at the guide: Delete a resource in a GKE cluster

Parameters

location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides, e.g. ‘us-central1-a’
cluster_name (str) – The name of the Google Kubernetes Engine cluster.
use_internal_ip (bool) – Use the internal IP address as the endpoint.
project_id (str) – The Google Developers Console project id
gcp_conn_id (str) – The Google cloud connection id to use. This allows for users to specify a service account.
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]¶

cluster_hook()[source]¶

hook()[source]¶

execute(context)[source]¶

Execute process of deleting Custom Resource.

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEStartKueueJobOperator(*, queue_name, **kwargs)[source]¶

Bases: GKEStartJobOperator

Executes a Kubernetes Job in Kueue in the specified Google Kubernetes Engine cluster.

Parameters: queue_name (str) – The name of the Queue in the cluster

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEDeleteJobOperator(*, location, cluster_name, use_internal_ip=False, project_id=PROVIDE_PROJECT_ID, gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]¶

Bases: airflow.providers.cncf.kubernetes.operators.job.KubernetesDeleteJobOperator

Delete a Kubernetes job in the specified Google Kubernetes Engine cluster.

This Operator assumes that the system has gcloud installed and has configured a connection id with a service account.

The minimum required to define a cluster to create are the variables task_id, project_id, location, cluster_name, name, namespace

See also

For more detail about Kubernetes Engine authentication have a look at the reference: https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl#internal_ip

See also

For more information on how to use this operator, take a look at the guide: Delete a Job on a GKE cluster

Parameters

location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides, e.g. ‘us-central1-a’
cluster_name (str) – The name of the Google Kubernetes Engine cluster
use_internal_ip (bool) – Use the internal IP address as the endpoint.
project_id (str) – The Google Developers Console project id
gcp_conn_id (str) – The Google cloud connection id to use. This allows for users to specify a service account.
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str][source]¶

cluster_hook()[source]¶

hook()[source]¶

execute(context)[source]¶

Execute process of deleting Job.

class airflow.providers.google.cloud.operators.kubernetes_engine.GKESuspendJobOperator(*, name, location, namespace, cluster_name, project_id=PROVIDE_PROJECT_ID, use_internal_ip=False, gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]¶

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Suspend Job by given name.

See also

For more information on how to use this operator, take a look at the guide: Suspend a Job on a GKE cluster

Parameters

name (str) – The name of the Job to suspend
project_id (str) – The Google Developers Console project id.
location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides.
cluster_name (str) – The name of the Google Kubernetes Engine cluster.
namespace (str) – The name of the Google Kubernetes Engine namespace.
use_internal_ip (bool) – Use the internal IP address as the endpoint.
gcp_conn_id (str) – The connection ID to use connecting to Google Cloud.
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str] = ('project_id', 'gcp_conn_id', 'name', 'namespace', 'cluster_name', 'location', 'impersonation_chain')[source]¶

operator_extra_links = ()[source]¶

cluster_hook()[source]¶

hook()[source]¶

execute(context)[source]¶

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.google.cloud.operators.kubernetes_engine.GKEResumeJobOperator(*, name, location, namespace, cluster_name, project_id=PROVIDE_PROJECT_ID, use_internal_ip=False, gcp_conn_id='google_cloud_default', impersonation_chain=None, **kwargs)[source]¶

Bases: airflow.providers.google.cloud.operators.cloud_base.GoogleCloudBaseOperator

Resume Job by given name.

See also

For more information on how to use this operator, take a look at the guide: Resume a Job on a GKE cluster

Parameters

name (str) – The name of the Job to resume
project_id (str) – The Google Developers Console project id.
location (str) – The name of the Google Kubernetes Engine zone or region in which the cluster resides.
cluster_name (str) – The name of the Google Kubernetes Engine cluster.
namespace (str) – The name of the Google Kubernetes Engine namespace.
use_internal_ip (bool) – Use the internal IP address as the endpoint.
gcp_conn_id (str) – The connection ID to use connecting to Google Cloud.
impersonation_chain (str | collections.abc.Sequence[str] | None) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

template_fields: collections.abc.Sequence[str] = ('project_id', 'gcp_conn_id', 'name', 'namespace', 'cluster_name', 'location', 'impersonation_chain')[source]¶

operator_extra_links = ()[source]¶

cluster_hook()[source]¶

hook()[source]¶

execute(context)[source]¶

Derive when creating an operator.

Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

airflow.providers.google.cloud.operators.kubernetes_engine¶

Module Contents¶

Classes¶

Attributes¶

`airflow.providers.google.cloud.operators.kubernetes_engine`¶