The config settings for Compute Engine resources in an instance group, such as a master or worker group.

Attributes

• accelerators (type: list(GoogleApi.Dataproc.V1.Model.AcceleratorConfig.t), default: nil) - Optional. The Compute Engine accelerator configuration for these instances.
• diskConfig (type: GoogleApi.Dataproc.V1.Model.DiskConfig.t, default: nil) - Optional. Disk option config settings.
• imageUri (type: String.t, default: nil) - Optional. The Compute Engine image resource used for cluster instances.The URI can represent an image or image family.Image examples: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/[image-id] projects/[project_id]/global/images/[image-id] image-idImage family examples. Dataproc will use the most recent image from the family: https://www.googleapis.com/compute/v1/projects/[project_id]/global/images/family/[custom-image-family-name] projects/[project_id]/global/images/family/[custom-image-family-name]If the URI is unspecified, it will be inferred from SoftwareConfig.image_version or the system default.
• instanceFlexibilityPolicy (type: GoogleApi.Dataproc.V1.Model.InstanceFlexibilityPolicy.t, default: nil) - Optional. Instance flexibility Policy allowing a mixture of VM shapes and provisioning models.
• instanceNames (type: list(String.t), default: nil) - Output only. The list of instance names. Dataproc derives the names from cluster_name, num_instances, and the instance group.
• instanceReferences (type: list(GoogleApi.Dataproc.V1.Model.InstanceReference.t), default: nil) - Output only. List of references to Compute Engine instances.
• isPreemptible (type: boolean(), default: nil) - Output only. Specifies that this instance group contains preemptible instances.
• machineTypeUri (type: String.t, default: nil) - Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples: https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 projects/[project_id]/zones/[zone]/machineTypes/n1-standard-2 n1-standard-2Auto Zone Exception: If you are using the Dataproc Auto Zone Placement (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-zone#using_auto_zone_placement) feature, you must use the short name of the machine type resource, for example, n1-standard-2.
• managedGroupConfig (type: GoogleApi.Dataproc.V1.Model.ManagedGroupConfig.t, default: nil) - Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
• minCpuPlatform (type: String.t, default: nil) - Optional. Specifies the minimum cpu platform for the Instance Group. See Dataproc -> Minimum CPU Platform (https://cloud.google.com/dataproc/docs/concepts/compute/dataproc-min-cpu).
• minNumInstances (type: integer(), default: nil) - Optional. The minimum number of primary worker instances to create. If min_num_instances is set, cluster creation will succeed if the number of primary workers created is at least equal to the min_num_instances number.Example: Cluster creation request with num_instances = 5 and min_num_instances = 3: If 4 VMs are created and 1 instance fails, the failed VM is deleted. The cluster is resized to 4 instances and placed in a RUNNING state. If 2 instances are created and 3 instances fail, the cluster in placed in an ERROR state. The failed VMs are not deleted.
• numInstances (type: integer(), default: nil) - Optional. The number of VM instances in the instance group. For HA cluster master_config groups, must be set to 3. For standard cluster master_config groups, must be set to 1.
• preemptibility (type: String.t, default: nil) - Optional. Specifies the preemptibility of the instance group.The default value for master and worker groups is NON_PREEMPTIBLE. This default cannot be changed.The default value for secondary instances is PREEMPTIBLE.
• startupConfig (type: GoogleApi.Dataproc.V1.Model.StartupConfig.t, default: nil) - Optional. Configuration to handle the startup of instances during cluster create and update process.