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