GKECreateClusterOperator

Google

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

View on GitHub

Last Updated: Apr. 8, 2023

Access Instructions

Install the Google provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.

Parameters

project_idThe Google Developers Console [project ID or project number]
locationRequiredThe name of the Google Kubernetes Engine zone or region in which the cluster resides.
bodyRequiredThe Cluster definition to create, can be protobuf or python dict, if dict it must match protobuf message Cluster
gcp_conn_idThe connection ID to use connecting to Google Cloud.
api_versionThe api version to use
impersonation_chainOptional 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).

Documentation

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

The minimum required to define a cluster to create is:

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

param project_id

The Google Developers Console [project ID or project number]

param location

The name of the Google Kubernetes Engine zone or region in which the cluster resides.

param body

The Cluster definition to create, can be protobuf or python dict, if dict it must match protobuf message Cluster

param gcp_conn_id

The connection ID to use connecting to Google Cloud.

param api_version

The api version to use

param impersonation_chain

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).

Was this page helpful?