Dataproc Serverless templates
Stay organized with collections
Save and categorize content based on your preferences.
Use Dataproc Serverless templates to quickly set up and
run common Spark batch workloads without writing code.
Dataproc Serverless templates
The following Dataproc Serverless templates are Java templates. See the GitHub
GoogleCloudPlatform/dataproc-templates/python
repository for Python templates and the GoogleCloudPlatform/dataproc-templates/notebook
repository for Python templates in Jupyter notebooks.
You can run following Dataproc Serverless templates using the gcloud CLI
or Dataproc API:
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-06-13 UTC.
[{
"type": "thumb-down",
"id": "hardToUnderstand",
"label":"Hard to understand"
},{
"type": "thumb-down",
"id": "incorrectInformationOrSampleCode",
"label":"Incorrect information or sample code"
},{
"type": "thumb-down",
"id": "missingTheInformationSamplesINeed",
"label":"Missing the information/samples I need"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]