Struct GoogleCloudAiplatformV1PersistentResource

pub struct GoogleCloudAiplatformV1PersistentResource {

    pub resource_pools: Option<Vec<GoogleCloudAiplatformV1ResourcePool>>,
    pub psc_interface_config: Option<GoogleCloudAiplatformV1PscInterfaceConfig>,
    pub create_time: Option<DateTime<Utc>>,
    pub update_time: Option<DateTime<Utc>>,
    pub error: Option<GoogleRpcStatus>,
    pub resource_runtime: Option<GoogleCloudAiplatformV1ResourceRuntime>,
    pub resource_runtime_spec: Option<GoogleCloudAiplatformV1ResourceRuntimeSpec>,
    pub name: Option<String>,
    pub start_time: Option<DateTime<Utc>>,
    pub display_name: Option<String>,
    pub state: Option<String>,
    pub encryption_spec: Option<GoogleCloudAiplatformV1EncryptionSpec>,
    pub network: Option<String>,
    pub labels: Option<HashMap<String, String>>,
    pub reserved_ip_ranges: Option<Vec<String>>,
}

Represents long-lasting resources that are dedicated to users to runs custom workloads. A PersistentResource can have multiple node pools and each node pool can have its own machine spec.

Activities

This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).

• locations persistent resources patch projects (request)
• locations persistent resources create projects (request)
• locations persistent resources get projects (response)

Fields

resource_pools: Option<Vec<GoogleCloudAiplatformV1ResourcePool>>

Required. The spec of the pools of different resources.

psc_interface_config: Option<GoogleCloudAiplatformV1PscInterfaceConfig>

Optional. Configuration for PSC-I for PersistentResource.

create_time: Option<DateTime<Utc>>

Output only. Time when the PersistentResource was created.

update_time: Option<DateTime<Utc>>

Output only. Time when the PersistentResource was most recently updated.

error: Option<GoogleRpcStatus>

Output only. Only populated when persistent resource’s state is STOPPING or ERROR.

resource_runtime: Option<GoogleCloudAiplatformV1ResourceRuntime>

Output only. Runtime information of the Persistent Resource.

resource_runtime_spec: Option<GoogleCloudAiplatformV1ResourceRuntimeSpec>

Optional. Persistent Resource runtime spec. For example, used for Ray cluster configuration.

name: Option<String>

Immutable. Resource name of a PersistentResource.

start_time: Option<DateTime<Utc>>

Output only. Time when the PersistentResource for the first time entered the RUNNING state.

display_name: Option<String>

Optional. The display name of the PersistentResource. The name can be up to 128 characters long and can consist of any UTF-8 characters.

state: Option<String>

Output only. The detailed state of a Study.

encryption_spec: Option<GoogleCloudAiplatformV1EncryptionSpec>

Optional. Customer-managed encryption key spec for a PersistentResource. If set, this PersistentResource and all sub-resources of this PersistentResource will be secured by this key.

network: Option<String>

Optional. The full name of the Compute Engine network to peered with Vertex AI to host the persistent resources. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the resources aren’t peered with any network.

labels: Option<HashMap<String, String>>

Optional. The labels with user-defined metadata to organize PersistentResource. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.

reserved_ip_ranges: Option<Vec<String>>

Optional. A list of names for the reserved IP ranges under the VPC network that can be used for this persistent resource. If set, we will deploy the persistent resource within the provided IP ranges. Otherwise, the persistent resource is deployed to any IP ranges under the provided VPC network. Example: [‘vertex-ai-ip-range’].

Trait Implementations

impl Clone for GoogleCloudAiplatformV1PersistentResource

fn clone(&self) -> GoogleCloudAiplatformV1PersistentResource

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1PersistentResource

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1PersistentResource

fn default() -> GoogleCloudAiplatformV1PersistentResource

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1PersistentResource

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1PersistentResource

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl RequestValue for GoogleCloudAiplatformV1PersistentResource

impl ResponseResult for GoogleCloudAiplatformV1PersistentResource