sai3563 commented on issue #31058:
URL: https://github.com/apache/airflow/issues/31058#issuecomment-2080009300
@eladkal @shivannakarthik It seems no modifications in the
`DataprocCreateClusterOperator` are needed. While testing with the latest dev
branch i.e. `2.10.0.dev0`, I was able to get `shielded_instance_config` working
using the operator. I tried it with both True and False values for the
parameters and confirmed it to be working from GCP Console.
Here is the full code I used
```
from datetime import datetime, timedelta
from airflow import DAG
from airflow.providers.google.cloud.operators.dataproc import
DataprocCreateClusterOperator
# Constants
PROJECT_ID = 'my-project'
REGION = 'asia-south1'
CLUSTER_NAME = 'testing-cluster'
ZONE = 'asia-south1-a'
# Default DAG arguments
default_args = {
'start_date': datetime.now() - timedelta(days=1)
}
# Define the DAG
dag = DAG(
'dataproc_create_cluster_dag',
default_args=default_args,
description='A DAG to create a Dataproc cluster',
schedule=None,
catchup=False
)
# Dataproc cluster configuration
cluster_config = {
"gce_cluster_config": {
"zone_uri":
f"https://www.googleapis.com/compute/v1/projects/{PROJECT_ID}/zones/{ZONE}";,
"metadata": {
"enable-pepperdata": "false",
"ha_flag": "no"
},
"shielded_instance_config": {
"enable_secure_boot": True,
"enable_vtpm": True,
"enable_integrity_monitoring": True
}
}
}
# Create Dataproc cluster task
create_cluster = DataprocCreateClusterOperator(
task_id='create_dataproc_cluster',
project_id=PROJECT_ID,
cluster_name=CLUSTER_NAME,
cluster_config=cluster_config,
region=REGION,
dag=dag
)
# Define task sequence
create_cluster
```
@eladkal I believe this issue can be closed for the moment.
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