feat(dataproc): create pyspark nodegroup cluster sample #13513
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Sample code to submit a PySpark job to a Dataproc driver node group cluster.
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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 @Supriya-Koppa, 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, self-contained Python sample to the repository. Its primary purpose is to provide a clear and executable example for users looking to programmatically submit PySpark jobs to Dataproc clusters, specifically those configured with driver node groups, and to illustrate how to manage the job's resource allocation and retrieve its output.
Highlights
- New Sample Code: Introduced a new Python sample,
submit_pyspark_job_to_driver_node_group_cluster.py, demonstrating how to submit a PySpark job to a Google Cloud Dataproc cluster that utilizes a driver node group. - Dataproc Job Submission: The sample showcases the use of the
google.cloud.dataproc_v1client library to configure and submit a PySpark job, including specifyingDriverSchedulingConfigfor memory and vcores. - Output Retrieval: The code includes logic to retrieve and print the job's output from the Google Cloud Storage bucket where Dataproc stores job results.
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Code Review
This pull request adds a new Python sample for submitting a PySpark job to a Dataproc driver node group cluster. The code is a good starting point. My review includes suggestions for improving the script's usability by implementing command-line argument parsing, enhancing robustness with proper error handling, and increasing clarity and consistency through documentation and style adjustments. Addressing these points will make the sample more robust and user-friendly.
Added a END region tag
Improving readability
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Thank you for your first submission to the python-docs-samples repo! 🎉
There are some changes required to this file, including:
- moving it to the correct sample location for this product:
dataproc/snippets/ - including testing (you should be able to reference tests from similar samples in the dataproc folder as a starting point)
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| #!/usr/bin/env python | |||
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You have not provided a test to go with this file. Given the similarity, you might be able to borrow from https://github.com/GoogleCloudPlatform/python-docs-samples/blob/main/dataproc/snippets/submit_spark_job_to_driver_node_group_cluster_test.py
| job = { | ||
| "placement": {"cluster_name": cluster_name}, | ||
| "pyspark_job": { | ||
| "main_python_file_uri": "gs://dataproc-examples/pyspark/hello-world/hello-world.py" |
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Outstanding issue from previous review: "Where does this object come from? Is there open source code for this object?"
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| my_project_id = "your_project_id" # <-- REPLACE THIS | ||
| my_region = "your_region" # <-- REPLACE THIS | ||
| my_cluster_name = "your_node_group_cluster" # <-- REPLACE THIS | ||
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| submit_job(my_project_id, my_region, my_cluster_name) |
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Outstanding comment from previous review: Please change this main method to copy the functionality from the spark job, which will remove the "REPLACE THIS" values. This can also help if you use command-line testing
Sample code to submit a PySpark job to a Dataproc driver node group cluster.
Description
Fixes #
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)