Properly forwarding the "region" parameter provided as an input argum…

…ent. (#1029)

dataproc/README.md

@@ -32,7 +32,7 @@ Create local credentials by running the following command and following the oaut
 
 To run list_clusters.py:
 
-    python list_clusters.py --project_id=<YOUR-PROJECT-ID>  --zone=us-central1-b
+    python list_clusters.py <YOUR-PROJECT-ID> --region=us-central1
 
 
 To run create_cluster_and_submit_job, first create a GCS bucket, from the Cloud Console or with

dataproc/list_clusters.py

@@ -18,15 +18,12 @@
 
 import googleapiclient.discovery
 
-# Currently only the "global" region is supported
-REGION = 'global'
-
 
 # [START list_clusters]
-def list_clusters(dataproc, project):
+def list_clusters(dataproc, project, region):
     result = dataproc.projects().regions().clusters().list(
         projectId=project,
-        region=REGION).execute()
+        region=region).execute()
     return result
 # [END list_clusters]
 
@@ -39,9 +36,9 @@ def get_client():
 # [END get_client]
 
 
-def main(project_id, zone):
+def main(project_id, region):
     dataproc = get_client()
-    result = list_clusters(dataproc, project_id)
+    result = list_clusters(dataproc, project_id, region)
     print(result)
 
 
@@ -52,8 +49,10 @@ def main(project_id, zone):
     )
     parser.add_argument(
         'project_id', help='Project ID you want to access.'),
+    # Sets the region to "global" if it's not provided
+    # Note: sub-regions (e.g.: us-central1-a/b) are currently not supported
     parser.add_argument(
-        'zone', help='Region to create clusters in')
+        '--region', default='global', help='Region to create clusters in')
 
     args = parser.parse_args()
-    main(args.project_id, args.zone)
+    main(args.project_id, args.region)