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Dataproc Serverless components
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The Dataproc Serverless components let you run Apache Spark batch
workloads from a pipeline within Vertex AI Pipelines.
Dataproc Serverless runs the batch workloads on a managed compute
infrastructure, autoscaling resources as needed.
Learn more about Dataproc Serverless and supported Spark workloads .
In Dataproc Serverless, a Batch
resource represents a batch workload.
The Google Cloud Pipeline Components SDK includes the following operators to
create Batch
resources and monitor their execution:
API reference
Tutorials
Version history and release notes
To learn more about the version history and changes to the Google Cloud Pipeline Components SDK, see the Google Cloud Pipeline Components SDK Release Notes .
If you have any questions, reach out to
kfp-dataproc-components@google.com .
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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 2024-09-19 UTC.
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{"lastModified": "Last updated 2024-09-19 UTC."}
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