Struct google_dataproc1::ClusterConfig

pub struct ClusterConfig {
    pub lifecycle_config: Option<LifecycleConfig>,
    pub software_config: Option<SoftwareConfig>,
    pub config_bucket: Option<String>,
    pub gce_cluster_config: Option<GceClusterConfig>,
    pub temp_bucket: Option<String>,
    pub autoscaling_config: Option<AutoscalingConfig>,
    pub endpoint_config: Option<EndpointConfig>,
    pub worker_config: Option<InstanceGroupConfig>,
    pub initialization_actions: Option<Vec<NodeInitializationAction>>,
    pub encryption_config: Option<EncryptionConfig>,
    pub secondary_worker_config: Option<InstanceGroupConfig>,
    pub master_config: Option<InstanceGroupConfig>,
    pub security_config: Option<SecurityConfig>,
}

The cluster config.

This type is not used in any activity, and only used as part of another schema.

Fields

lifecycle_config: Option<LifecycleConfig>

Optional. Lifecycle setting for the cluster.

software_config: Option<SoftwareConfig>

Optional. The config settings for software inside the cluster.

config_bucket: Option<String>

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)).

gce_cluster_config: Option<GceClusterConfig>

Optional. The shared Compute Engine config settings for all instances in a cluster.

temp_bucket: Option<String>

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.

autoscaling_config: Option<AutoscalingConfig>

Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.

endpoint_config: Option<EndpointConfig>

Optional. Port/endpoint configuration for this cluster

worker_config: Option<InstanceGroupConfig>

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

initialization_actions: Option<Vec<NodeInitializationAction>>

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

encryption_config: Option<EncryptionConfig>

Optional. Encryption settings for the cluster.

secondary_worker_config: Option<InstanceGroupConfig>

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

master_config: Option<InstanceGroupConfig>

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

security_config: Option<SecurityConfig>

Optional. Security settings for the cluster.

Trait Implementations

impl Clone for ClusterConfig

fn clone(&self) -> ClusterConfig

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ClusterConfig

fn fmt(&self, f: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Default for ClusterConfig

fn default() -> ClusterConfig

Returns the "default value" for a type.

impl<'de> Deserialize<'de> for ClusterConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl Part for ClusterConfig

impl Serialize for ClusterConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.