public interface ClusterConfigOrBuilder extends MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
isInitialized
String getConfigBucket()
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.**
string config_bucket = 1 [(.google.api.field_behavior) = OPTIONAL];
ByteString getConfigBucketBytes()
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.**
string config_bucket = 1 [(.google.api.field_behavior) = OPTIONAL];
String getTempBucket()
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.**
string temp_bucket = 2 [(.google.api.field_behavior) = OPTIONAL];
ByteString getTempBucketBytes()
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.**
string temp_bucket = 2 [(.google.api.field_behavior) = OPTIONAL];
boolean hasGceClusterConfig()
Optional. The shared Compute Engine config settings for all instances in a cluster.
.google.cloud.dataproc.v1.GceClusterConfig gce_cluster_config = 8 [(.google.api.field_behavior) = OPTIONAL];
GceClusterConfig getGceClusterConfig()
Optional. The shared Compute Engine config settings for all instances in a cluster.
.google.cloud.dataproc.v1.GceClusterConfig gce_cluster_config = 8 [(.google.api.field_behavior) = OPTIONAL];
GceClusterConfigOrBuilder getGceClusterConfigOrBuilder()
Optional. The shared Compute Engine config settings for all instances in a cluster.
.google.cloud.dataproc.v1.GceClusterConfig gce_cluster_config = 8 [(.google.api.field_behavior) = OPTIONAL];
boolean hasMasterConfig()
Optional. The Compute Engine config settings for the cluster's master instance.
.google.cloud.dataproc.v1.InstanceGroupConfig master_config = 9 [(.google.api.field_behavior) = OPTIONAL];
InstanceGroupConfig getMasterConfig()
Optional. The Compute Engine config settings for the cluster's master instance.
.google.cloud.dataproc.v1.InstanceGroupConfig master_config = 9 [(.google.api.field_behavior) = OPTIONAL];
InstanceGroupConfigOrBuilder getMasterConfigOrBuilder()
Optional. The Compute Engine config settings for the cluster's master instance.
.google.cloud.dataproc.v1.InstanceGroupConfig master_config = 9 [(.google.api.field_behavior) = OPTIONAL];
boolean hasWorkerConfig()
Optional. The Compute Engine config settings for the cluster's worker instances.
.google.cloud.dataproc.v1.InstanceGroupConfig worker_config = 10 [(.google.api.field_behavior) = OPTIONAL];
InstanceGroupConfig getWorkerConfig()
Optional. The Compute Engine config settings for the cluster's worker instances.
.google.cloud.dataproc.v1.InstanceGroupConfig worker_config = 10 [(.google.api.field_behavior) = OPTIONAL];
InstanceGroupConfigOrBuilder getWorkerConfigOrBuilder()
Optional. The Compute Engine config settings for the cluster's worker instances.
.google.cloud.dataproc.v1.InstanceGroupConfig worker_config = 10 [(.google.api.field_behavior) = OPTIONAL];
boolean hasSecondaryWorkerConfig()
Optional. The Compute Engine config settings for a cluster's secondary worker instances
.google.cloud.dataproc.v1.InstanceGroupConfig secondary_worker_config = 12 [(.google.api.field_behavior) = OPTIONAL];
InstanceGroupConfig getSecondaryWorkerConfig()
Optional. The Compute Engine config settings for a cluster's secondary worker instances
.google.cloud.dataproc.v1.InstanceGroupConfig secondary_worker_config = 12 [(.google.api.field_behavior) = OPTIONAL];
InstanceGroupConfigOrBuilder getSecondaryWorkerConfigOrBuilder()
Optional. The Compute Engine config settings for a cluster's secondary worker instances
.google.cloud.dataproc.v1.InstanceGroupConfig secondary_worker_config = 12 [(.google.api.field_behavior) = OPTIONAL];
boolean hasSoftwareConfig()
Optional. The config settings for cluster software.
.google.cloud.dataproc.v1.SoftwareConfig software_config = 13 [(.google.api.field_behavior) = OPTIONAL];
SoftwareConfig getSoftwareConfig()
Optional. The config settings for cluster software.
.google.cloud.dataproc.v1.SoftwareConfig software_config = 13 [(.google.api.field_behavior) = OPTIONAL];
SoftwareConfigOrBuilder getSoftwareConfigOrBuilder()
Optional. The config settings for cluster software.
.google.cloud.dataproc.v1.SoftwareConfig software_config = 13 [(.google.api.field_behavior) = OPTIONAL];
List<NodeInitializationAction> getInitializationActionsList()
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
repeated .google.cloud.dataproc.v1.NodeInitializationAction initialization_actions = 11 [(.google.api.field_behavior) = OPTIONAL];
NodeInitializationAction getInitializationActions(int index)
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
repeated .google.cloud.dataproc.v1.NodeInitializationAction initialization_actions = 11 [(.google.api.field_behavior) = OPTIONAL];
int getInitializationActionsCount()
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
repeated .google.cloud.dataproc.v1.NodeInitializationAction initialization_actions = 11 [(.google.api.field_behavior) = OPTIONAL];
List<? extends NodeInitializationActionOrBuilder> getInitializationActionsOrBuilderList()
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
repeated .google.cloud.dataproc.v1.NodeInitializationAction initialization_actions = 11 [(.google.api.field_behavior) = OPTIONAL];
NodeInitializationActionOrBuilder getInitializationActionsOrBuilder(int index)
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
repeated .google.cloud.dataproc.v1.NodeInitializationAction initialization_actions = 11 [(.google.api.field_behavior) = OPTIONAL];
boolean hasEncryptionConfig()
Optional. Encryption settings for the cluster.
.google.cloud.dataproc.v1.EncryptionConfig encryption_config = 15 [(.google.api.field_behavior) = OPTIONAL];
EncryptionConfig getEncryptionConfig()
Optional. Encryption settings for the cluster.
.google.cloud.dataproc.v1.EncryptionConfig encryption_config = 15 [(.google.api.field_behavior) = OPTIONAL];
EncryptionConfigOrBuilder getEncryptionConfigOrBuilder()
Optional. Encryption settings for the cluster.
.google.cloud.dataproc.v1.EncryptionConfig encryption_config = 15 [(.google.api.field_behavior) = OPTIONAL];
boolean hasAutoscalingConfig()
Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
.google.cloud.dataproc.v1.AutoscalingConfig autoscaling_config = 18 [(.google.api.field_behavior) = OPTIONAL];
AutoscalingConfig getAutoscalingConfig()
Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
.google.cloud.dataproc.v1.AutoscalingConfig autoscaling_config = 18 [(.google.api.field_behavior) = OPTIONAL];
AutoscalingConfigOrBuilder getAutoscalingConfigOrBuilder()
Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
.google.cloud.dataproc.v1.AutoscalingConfig autoscaling_config = 18 [(.google.api.field_behavior) = OPTIONAL];
boolean hasSecurityConfig()
Optional. Security settings for the cluster.
.google.cloud.dataproc.v1.SecurityConfig security_config = 16 [(.google.api.field_behavior) = OPTIONAL];
SecurityConfig getSecurityConfig()
Optional. Security settings for the cluster.
.google.cloud.dataproc.v1.SecurityConfig security_config = 16 [(.google.api.field_behavior) = OPTIONAL];
SecurityConfigOrBuilder getSecurityConfigOrBuilder()
Optional. Security settings for the cluster.
.google.cloud.dataproc.v1.SecurityConfig security_config = 16 [(.google.api.field_behavior) = OPTIONAL];
boolean hasLifecycleConfig()
Optional. Lifecycle setting for the cluster.
.google.cloud.dataproc.v1.LifecycleConfig lifecycle_config = 17 [(.google.api.field_behavior) = OPTIONAL];
LifecycleConfig getLifecycleConfig()
Optional. Lifecycle setting for the cluster.
.google.cloud.dataproc.v1.LifecycleConfig lifecycle_config = 17 [(.google.api.field_behavior) = OPTIONAL];
LifecycleConfigOrBuilder getLifecycleConfigOrBuilder()
Optional. Lifecycle setting for the cluster.
.google.cloud.dataproc.v1.LifecycleConfig lifecycle_config = 17 [(.google.api.field_behavior) = OPTIONAL];
boolean hasEndpointConfig()
Optional. Port/endpoint configuration for this cluster
.google.cloud.dataproc.v1.EndpointConfig endpoint_config = 19 [(.google.api.field_behavior) = OPTIONAL];
EndpointConfig getEndpointConfig()
Optional. Port/endpoint configuration for this cluster
.google.cloud.dataproc.v1.EndpointConfig endpoint_config = 19 [(.google.api.field_behavior) = OPTIONAL];
EndpointConfigOrBuilder getEndpointConfigOrBuilder()
Optional. Port/endpoint configuration for this cluster
.google.cloud.dataproc.v1.EndpointConfig endpoint_config = 19 [(.google.api.field_behavior) = OPTIONAL];
boolean hasMetastoreConfig()
Optional. Metastore configuration.
.google.cloud.dataproc.v1.MetastoreConfig metastore_config = 20 [(.google.api.field_behavior) = OPTIONAL];
MetastoreConfig getMetastoreConfig()
Optional. Metastore configuration.
.google.cloud.dataproc.v1.MetastoreConfig metastore_config = 20 [(.google.api.field_behavior) = OPTIONAL];
MetastoreConfigOrBuilder getMetastoreConfigOrBuilder()
Optional. Metastore configuration.
.google.cloud.dataproc.v1.MetastoreConfig metastore_config = 20 [(.google.api.field_behavior) = OPTIONAL];
boolean hasDataprocMetricConfig()
Optional. The config for Dataproc metrics.
.google.cloud.dataproc.v1.DataprocMetricConfig dataproc_metric_config = 23 [(.google.api.field_behavior) = OPTIONAL];
DataprocMetricConfig getDataprocMetricConfig()
Optional. The config for Dataproc metrics.
.google.cloud.dataproc.v1.DataprocMetricConfig dataproc_metric_config = 23 [(.google.api.field_behavior) = OPTIONAL];
DataprocMetricConfigOrBuilder getDataprocMetricConfigOrBuilder()
Optional. The config for Dataproc metrics.
.google.cloud.dataproc.v1.DataprocMetricConfig dataproc_metric_config = 23 [(.google.api.field_behavior) = OPTIONAL];
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