NewCluster

Properties

Name	Type	Description	Notes
num_workers	Option<i32>	If num_workers, number of worker nodes that this cluster must have. A cluster has one Spark driver and num_workers executors for a total of num_workers + 1 Spark nodes. When reading the properties of a cluster, this field reflects the desired number of workers rather than the actual current number of workers. For example, if a cluster is resized from 5 to 10 workers, this field immediately updates to reflect the target size of 10 workers, whereas the workers listed in spark_info gradually increase from 5 to 10 as the new nodes are provisioned.	[optional]
autoscale	Option<crate::models::AutoScale>		[optional]
spark_version	String	The Spark version of the cluster. A list of available Spark versions can be retrieved by using the Runtime versions API call.
spark_conf	Option<::std::collections::HashMap<String, serde_json::Value>>	An arbitrary object where the object key is a configuration propery name and the value is a configuration property value.	[optional]
aws_attributes	Option<crate::models::AwsAttributes>		[optional]
node_type_id	Option<String>	This field encodes, through a single value, the resources available to each of the Spark nodes in this cluster. For example, the Spark nodes can be provisioned and optimized for memory or compute intensive workloads A list of available node types can be retrieved by using the List node types API call.	[optional]
data_security_mode	Option<String>	Data security mode decides what data governance model to use when accessing data from a cluster.	[optional]
single_user_name	Option<String>	Single user name if data_security_mode is SINGLE_USER	[optional]
driver_node_type_id	Option<String>	The node type of the Spark driver. This field is optional; if unset, the driver node type is set as the same value as node_type_id defined above.	[optional]
ssh_public_keys	Option<Vec>	SSH public key contents that are added to each Spark node in this cluster. The corresponding private keys can be used to login with the user name ubuntu on port 2200. Up to 10 keys can be specified.	[optional]
custom_tags	Option<::std::collections::HashMap<String, serde_json::Value>>	An object with key value pairs. The key length must be between 1 and 127 UTF-8 characters, inclusive. The value length must be less than or equal to 255 UTF-8 characters. For a list of all restrictions, see AWS Tag Restrictions: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/Using_Tags.html#tag-restrictions	[optional]
cluster_log_conf	Option<crate::models::ClusterLogConf>		[optional]
init_scripts	Option<Veccrate::models::InitScriptInfo>	The configuration for storing init scripts. Any number of scripts can be specified. The scripts are executed sequentially in the order provided. If cluster_log_conf is specified, init script logs are sent to <destination>/<cluster-id>/init_scripts.	[optional]
spark_env_vars	Option<::std::collections::HashMap<String, serde_json::Value>>	An arbitrary object where the object key is an environment variable name and the value is an environment variable value.	[optional]
enable_elastic_disk	Option<bool>	Autoscaling Local Storage: when enabled, this cluster dynamically acquires additional disk space when its Spark workers are running low on disk space. This feature requires specific AWS permissions to function correctly - refer to Autoscaling local storage for details.	[optional]
driver_instance_pool_id	Option<String>	The optional ID of the instance pool to use for the driver node. You must also specify instance_pool_id. Refer to Instance Pools API for details.	[optional]
instance_pool_id	Option<String>	The optional ID of the instance pool to use for cluster nodes. If driver_instance_pool_id is present, instance_pool_id is used for worker nodes only. Otherwise, it is used for both the driver node and worker nodes. Refer to Instance Pools API for details.	[optional]
policy_id	Option<String>	A cluster policy ID. Either node_type_id or instance_pool_id must be specified in the cluster policy if they are not specified in this job cluster object.	[optional]
enable_local_disk_encryption	Option<bool>	Determines whether encryption of disks locally attached to the cluster is enabled.	[optional]
docker_image	Option<crate::models::DockerImage>		[optional]
runtime_engine	Option<String>	The type of runtime engine to use. If not specified, the runtime engine type is inferred based on the spark_version value. Allowed values include: * PHOTON: Use the Photon runtime engine type. * STANDARD: Use the standard runtime engine type. This field is optional.	[optional]

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