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Add sample for updating a cluster in Dataproc. #362

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Add sample for updating a cluster in Dataproc. #362

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29 changes: 29 additions & 0 deletions dataproc/create_cluster_and_submit_job.py
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Original file line number Diff line number Diff line change
Expand Up @@ -119,6 +119,35 @@ def get_cluster_id_by_name(cluster_list, cluster_name):
cluster = [c for c in cluster_list if c['clusterName'] == cluster_name][0]
return cluster['clusterUuid'], cluster['config']['configBucket']

# [START update_cluster]
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no need for a region tag unless you're including it from a doc

def update_cluster(dataproc, project, cluster_name, zone, num_workers):
"""Updates the specified cluster to the given number of workers.
Use 'config.worker_config.num_instances' and 'workerConfig' for workers.
Use 'config.secondary_worker_config.num_instances' and
'secondaryWorkerConfig' for preemptible workers."""
print('Updating cluster to %d workers.' % num_workers)
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We use {} and format() rather then % for string interpolation in this repo

zone_uri = \
'https://www.googleapis.com/compute/v1/projects/{}/zones/{}'.format(
project, zone)
cluster_data = {
'projectId': project,
'clusterName': cluster_name,
'config': {
'gceClusterConfig': {
'zoneUri': zone_uri
},
'workerConfig': {
'numInstances': num_workers
}
}
}
result = dataproc.projects().regions().clusters().patch(
projectId = project,
region = REGION,
clusterName = cluster_name,
updateMask = 'config.worker_config.num_instances',
body = cluster_data).execute()
# [END update_cluster]

# [START submit_pyspark_job]
def submit_pyspark_job(dataproc, project, cluster_name, bucket_name, filename):
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