feat(dataproc): Add Spark Job to Cluster sample by aman-ebay · Pull Request #13459 · GoogleCloudPlatform/python-docs-samples · GitHub | Latest TMZ Celebrity News & Gossip | Watch TMZ Live
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feat(dataproc): Add Spark Job to Cluster sample #13459

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merged 6 commits into from
Jun 27, 2025
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@aman-ebay aman-ebay commented Jun 26, 2025

Description

Fixes b/424371877
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@aman-ebay aman-ebay requested review from a team as code owners June 26, 2025 21:35
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snippet-bot bot commented Jun 26, 2025

Here is the summary of changes.

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@product-auto-label product-auto-label bot added samples Issues that are directly related to samples. api: dataproc Issues related to the Dataproc API. labels Jun 26, 2025
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Summary of Changes

Hello @aman-ebay, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request adds a new Python sample to the repository, showcasing the submission of a Spark job to a Dataproc cluster with specific driver node group configurations. The sample provides a practical example of interacting with the Dataproc API to manage Spark workloads and retrieve their results.

Highlights

  • New Sample Addition: This pull request introduces a brand new Python sample script, submit_spark_job_to_driver_node_group_cluster.py, to the dataproc/snippets directory.
  • Spark Job Submission: The new sample demonstrates how to programmatically submit a Spark job (specifically, the SparkPi example) to a Google Cloud Dataproc cluster using the google-cloud-dataproc client library.
  • Driver Node Group Configuration: A key feature of this sample is the inclusion of driver_scheduling_config, allowing users to specify resource allocations (like memory and vcores) for the Spark job's driver on the Dataproc cluster's driver node group.
  • Job Output Retrieval: The script also includes logic to retrieve and print the output of the submitted Spark job, demonstrating how to parse the driver_output_resource_uri and download the output from Google Cloud Storage.
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Code Review

The code introduces a new script to submit Spark jobs to Dataproc clusters with driver node groups. The review focuses on improving error handling by suggesting logging and including the original exception in the ValueError.

@glasnt glasnt added kokoro:force-run Add this label to force Kokoro to re-run the tests. and removed kokoro:force-run Add this label to force Kokoro to re-run the tests. labels Jun 26, 2025
@kokoro-team kokoro-team removed the kokoro:force-run Add this label to force Kokoro to re-run the tests. label Jun 26, 2025
@glasnt glasnt changed the title Create submit_spark_job_to_driver_node_group_cluster.py feat(dataproc): Add Spark Job to Cluster sample Jun 26, 2025
@glasnt glasnt assigned kokoro-team and unassigned kokoro-team Jun 27, 2025
@glasnt glasnt added the kokoro:force-run Add this label to force Kokoro to re-run the tests. label Jun 27, 2025
def test_workflows(capsys):

# create temporary cluster for test
create_cluster.create_cluster(PROJECT_ID, REGION, CLUSTER_NAME)
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I assume"submit_spark_job_to_driver_node_group_cluster.submit_job" will fail unless the cluster that is created is a driver node group cluster (see https://cloud.google.com/dataproc/docs/guides/node-groups/dataproc-driver-node-groups#create_a_driver_node_group_cluster):

gcloud dataproc clusters create CLUSTER_NAME
--region=REGION
--driver-pool-size=SIZE
--driver-pool-id=NODE_GROUP_ID

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I'll adjust the test accordingly 👍

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It doesn't look like there's any example of how to create a driver node group cluster in the python docs. Since I'll have to add it for the test, I'll set it up so that it could also be used in your content. I'll give you more details on the bug internally 👍

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Thanks. Please surround with region tags if the docs should pull in a selected code snippet.

@iennae iennae merged commit af918de into aman Jun 27, 2025
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@iennae iennae deleted the aman-ebay-patch-3 branch June 27, 2025 19:12
glasnt added a commit that referenced this pull request Jun 29, 2025
* Create submit_spark_job_to_driver_node_group_cluster.py

* add a system test, copied from instantiate_line_workflow, create cluster tests

* use create cluster sample to create cluster

* black, isort

* ensure job check is specified in output

* create node cluster manually

---------

Co-authored-by: aman-ebay <amancuso@google.com>
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