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update_cluster.py
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update_cluster.py
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#!/usr/bin/env python
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This sample walks a user through updating the number of clusters using the Dataproc
# client library.
# Usage:
# python update_cluster.py --project_id <PROJECT_ID> --region <REGION> --cluster_name <CLUSTER_NAME>
import sys
# [START dataproc_update_cluster]
from google.cloud import dataproc_v1 as dataproc
def update_cluster(project_id, region, cluster_name, new_num_instances):
"""This sample walks a user through updating a Cloud Dataproc cluster
using the Python client library.
Args:
project_id (str): Project to use for creating resources.
region (str): Region where the resources should live.
cluster_name (str): Name to use for creating a cluster.
"""
# Create a client with the endpoint set to the desired cluster region.
client = dataproc.ClusterControllerClient(
client_options={"api_endpoint": f"{region}-dataproc.googleapis.com:443"}
)
# Get cluster you wish to update.
cluster = client.get_cluster(
project_id=project_id, region=region, cluster_name=cluster_name
)
# Update number of clusters
mask = {"paths": {"config.worker_config.num_instances": str(new_num_instances)}}
# Update cluster config
cluster.config.worker_config.num_instances = new_num_instances
# Update cluster
operation = client.update_cluster(
project_id=project_id,
region=region,
cluster=cluster,
cluster_name=cluster_name,
update_mask=mask,
)
# Output a success message.
updated_cluster = operation.result()
print(f"Cluster was updated successfully: {updated_cluster.cluster_name}")
# [END dataproc_update_cluster]
if __name__ == "__main__":
if len(sys.argv) < 5:
sys.exit("python update_cluster.py project_id region cluster_name")
project_id = sys.argv[1]
region = sys.argv[2]
cluster_name = sys.argv[3]
new_num_instances = sys.argv[4]
update_cluster(project_id, region, cluster_name)