View Source GoogleApi.Dataproc.V1.Model.ClusterConfig (google_api_dataproc v0.54.0)
The cluster config.
Attributes
-
autoscalingConfig
(type:GoogleApi.Dataproc.V1.Model.AutoscalingConfig.t
, default:nil
) - Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset. -
auxiliaryNodeGroups
(type:list(GoogleApi.Dataproc.V1.Model.AuxiliaryNodeGroup.t)
, default:nil
) - Optional. The node group settings. -
configBucket
(type:String.t
, default:nil
) - 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 and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket. -
dataprocMetricConfig
(type:GoogleApi.Dataproc.V1.Model.DataprocMetricConfig.t
, default:nil
) - Optional. The config for Dataproc metrics. -
encryptionConfig
(type:GoogleApi.Dataproc.V1.Model.EncryptionConfig.t
, default:nil
) - Optional. Encryption settings for the cluster. -
endpointConfig
(type:GoogleApi.Dataproc.V1.Model.EndpointConfig.t
, default:nil
) - Optional. Port/endpoint configuration for this cluster -
gceClusterConfig
(type:GoogleApi.Dataproc.V1.Model.GceClusterConfig.t
, default:nil
) - Optional. The shared Compute Engine config settings for all instances in a cluster. -
gkeClusterConfig
(type:GoogleApi.Dataproc.V1.Model.GkeClusterConfig.t
, default:nil
) - Optional. BETA. The Kubernetes Engine config for Dataproc clusters deployed to The Kubernetes Engine config for Dataproc clusters deployed to Kubernetes. These config settings are mutually exclusive with Compute Engine-based options, such as gce_cluster_config, master_config, worker_config, secondary_worker_config, and autoscaling_config. -
initializationActions
(type:list(GoogleApi.Dataproc.V1.Model.NodeInitializationAction.t)
, default:nil
) - Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget): ROLE=$(curl -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if [[ "${ROLE}" == 'Master' ]]; then ... master specific actions ... else ... worker specific actions ... fi -
lifecycleConfig
(type:GoogleApi.Dataproc.V1.Model.LifecycleConfig.t
, default:nil
) - Optional. Lifecycle setting for the cluster. -
masterConfig
(type:GoogleApi.Dataproc.V1.Model.InstanceGroupConfig.t
, default:nil
) - Optional. The Compute Engine config settings for the cluster's master instance. -
metastoreConfig
(type:GoogleApi.Dataproc.V1.Model.MetastoreConfig.t
, default:nil
) - Optional. Metastore configuration. -
secondaryWorkerConfig
(type:GoogleApi.Dataproc.V1.Model.InstanceGroupConfig.t
, default:nil
) - Optional. The Compute Engine config settings for a cluster's secondary worker instances -
securityConfig
(type:GoogleApi.Dataproc.V1.Model.SecurityConfig.t
, default:nil
) - Optional. Security settings for the cluster. -
softwareConfig
(type:GoogleApi.Dataproc.V1.Model.SoftwareConfig.t
, default:nil
) - Optional. The config settings for cluster software. -
tempBucket
(type:String.t
, default:nil
) - Optional. A Cloud Storage bucket used to store ephemeral cluster and jobs data, such as Spark and MapReduce history files. If you do not specify a temp bucket, Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's temp bucket according to the Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket. The default bucket has a TTL of 90 days, but you can use any TTL (or none) if you specify a bucket (see Dataproc staging and temp buckets (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/staging-bucket)). This field requires a Cloud Storage bucket name, not a gs://... URI to a Cloud Storage bucket. -
workerConfig
(type:GoogleApi.Dataproc.V1.Model.InstanceGroupConfig.t
, default:nil
) - Optional. The Compute Engine config settings for the cluster's worker instances.
Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Types
@type t() :: %GoogleApi.Dataproc.V1.Model.ClusterConfig{ autoscalingConfig: GoogleApi.Dataproc.V1.Model.AutoscalingConfig.t() | nil, auxiliaryNodeGroups: [GoogleApi.Dataproc.V1.Model.AuxiliaryNodeGroup.t()] | nil, configBucket: String.t() | nil, dataprocMetricConfig: GoogleApi.Dataproc.V1.Model.DataprocMetricConfig.t() | nil, encryptionConfig: GoogleApi.Dataproc.V1.Model.EncryptionConfig.t() | nil, endpointConfig: GoogleApi.Dataproc.V1.Model.EndpointConfig.t() | nil, gceClusterConfig: GoogleApi.Dataproc.V1.Model.GceClusterConfig.t() | nil, gkeClusterConfig: GoogleApi.Dataproc.V1.Model.GkeClusterConfig.t() | nil, initializationActions: [GoogleApi.Dataproc.V1.Model.NodeInitializationAction.t()] | nil, lifecycleConfig: GoogleApi.Dataproc.V1.Model.LifecycleConfig.t() | nil, masterConfig: GoogleApi.Dataproc.V1.Model.InstanceGroupConfig.t() | nil, metastoreConfig: GoogleApi.Dataproc.V1.Model.MetastoreConfig.t() | nil, secondaryWorkerConfig: GoogleApi.Dataproc.V1.Model.InstanceGroupConfig.t() | nil, securityConfig: GoogleApi.Dataproc.V1.Model.SecurityConfig.t() | nil, softwareConfig: GoogleApi.Dataproc.V1.Model.SoftwareConfig.t() | nil, tempBucket: String.t() | nil, workerConfig: GoogleApi.Dataproc.V1.Model.InstanceGroupConfig.t() | nil }
Functions
Unwrap a decoded JSON object into its complex fields.