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:
- Cloud Spanner to Cloud Storage
- Cloud Storage to BigQuery
- Cloud Storage to Cloud Spanner
- Cloud Storage to Cloud Storage
- Cloud Storage to JDBC
- Hive to BigQuery
- Hive to Cloud Storage
- JDBC to BigQuery
- JDBC to Cloud Spanner
- JDBC to Cloud Storage
- JDBC to JDBC
- Pub/Sub to Cloud Storage