Update submit_spark_job_to_driver_node_group_cluster.py

Author: aman-ebay

dataproc/snippets/submit_spark_job_to_driver_node_group_cluster.py

@@ -30,82 +30,6 @@
 from google.cloud import dataproc_v1 as dataproc
 from google.cloud import storage
 
-
-def submit_job(project_id: str, region: str, cluster_name: str) -> None:
-    """Submits a Spark job to the specified Dataproc cluster with a driver node group and prints the output.
-
-    Args:
-        project_id: The Google Cloud project ID.
-        region: The Dataproc region where the cluster is located.
-        cluster_name: The name of the Dataproc cluster.
-    """
-    # Create the job client.
-    with dataproc.JobControllerClient(
-        client_options={"api_endpoint": f"{region}-dataproc.googleapis.com:443"}
-    ) as job_client:
-
-        driver_scheduling_config = dataproc.DriverSchedulingConfig(
-            memory_mb=2048,  # Example memory in MB
-            vcores=2,  # Example number of vcores
-        )
-
-        # Create the job config. 'main_jar_file_uri' can also be a
-        # Google Cloud Storage URL.
-        job = {
-            "placement": {"cluster_name": cluster_name},
-            "spark_job": {
-                "main_class": "org.apache.spark.examples.SparkPi",
-                "jar_file_uris": ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
-                "args": ["1000"],
-            },
-            "driver_scheduling_config": driver_scheduling_config
-        }
-
-        operation = job_client.submit_job_as_operation(
-            request={"project_id": project_id, "region": region, "job": job}
-        )
-
-        response = operation.result()
-
-        # Dataproc job output gets saved to the Cloud Storage bucket
-        # allocated to the job. Use a regex to obtain the bucket and blob info.
-        matches = re.match("gs://(.*?)/(.*)", response.driver_output_resource_uri)
-        if not matches:
-            print(f"Error: Could not parse driver output URI: {response.driver_output_resource_uri}")
-            raise ValueError
-
-        #!/usr/bin/env python
-
-# Copyright 2025 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 submitting a Spark job to a
-# Dataproc driver node group cluster using the Dataproc
-# client library.
-
-# Usage:
-#    python submit_spark_job_to_driver_node_group_cluster.py \
-#        --project_id <PROJECT_ID> --region <REGION> \
-#        --cluster_name <CLUSTER_NAME>
-
-# [START dataproc_submit_spark_job_to_driver_node_group_cluster]
-
-import re
-
-from google.cloud import dataproc_v1 as dataproc
-from google.cloud import storage
-
 def submit_job(project_id: str, region: str, cluster_name: str) -> None:
     """Submits a Spark job to the specified Dataproc cluster with a driver node group and prints the output.
 
@@ -162,23 +86,6 @@ def submit_job(project_id: str, region: str, cluster_name: str) -> None:
 # [END dataproc_submit_spark_job_to_driver_node_group_cluster]
 
 
-if __name__ == "__main__":
-    import argparse
-
-    parser = argparse.ArgumentParser(
-        description="Submits a Spark job to a Dataproc driver node group cluster."
-    )
-    parser.add_argument("--project_id", help="The Google Cloud project ID.", required=True)
-    parser.add_argument("--region", help="The Dataproc region where the cluster is located.", required=True)
-    parser.add_argument("--cluster_name", help="The name of the Dataproc cluster.", required=True)
-
-    args = parser.parse_args()
-    submit_job(args.project_id, args.region, args.cluster_name)
-
-
-# [END dataproc_submit_spark_job_to_driver_node_group_cluster]
-
-
 if __name__ == "__main__":
     import argparse