Class ClusterConfig (0.8.1)

The cluster config. .. attribute:: config_bucket

Optional. A Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster’s staging bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Dataproc staging bucket <https://cloud.google.com/dataproc/docs/concepts/configuring- clusters/staging-bucket>__).

Optional. The Compute Engine config settings for the master instance in a cluster.

Optional. The Compute Engine config settings for additional worker instances in a cluster.

Optional. The config setting for auto delete cluster schedule.

Optional. Encryption settings for the cluster.

Optional. Port/endpoint configuration for this cluster

Optional. The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. Setting this is considered mutually exclusive with Compute Engine-based options such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config.

Inheritance

builtins.object > google.protobuf.pyext._message.CMessage > builtins.object > google.protobuf.message.Message > ClusterConfig