Available in Syntasa environments installed in GCP, the GCP Dataproc Cluster runtime type utilizes the cloud service to run jobs, execute code in notebooks, etc., and have all the various settings seen in the cloud service.
The basic runtime attributes required for all runtime types are detailed in Creating Runtime Templates; the settings available for this runtime type are detailed below.
Instance type and options
The GCP Dataproc Cluster runtime type enables several fields related to the master and worker instance types required for the runtime. The various machine families and machine types can be reviewed in Google's Support Machine Types article.
There are also Spark configurations available. Key settings related to the number of cores and memory are defaulted but can be adjusted as needed. Other values available for configuration are detailed in the Apache Spark documentation on Spark Configuration.