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feat(dataproc): Add Spark Job to Cluster sample #13459
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Here is the summary of changes. You are about to add 1 region tag.
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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 thedataproc/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.
def test_workflows(capsys): | ||
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# 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.
* 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>
Description
Fixes b/424371877
Note: Before submitting a pull request, please open an issue for discussion if you are not associated with Google.
Checklist
nox -s py-3.9
(see Test Environment Setup)nox -s lint
(see Test Environment Setup)