Struct GoogleCloudAiplatformV1DeployedIndex

pub struct GoogleCloudAiplatformV1DeployedIndex {
    pub id: Option<String>,
    pub enable_access_logging: Option<bool>,
    pub automatic_resources: Option<GoogleCloudAiplatformV1AutomaticResources>,
    pub dedicated_resources: Option<GoogleCloudAiplatformV1DedicatedResources>,
    pub index: Option<String>,
    pub deployment_group: Option<String>,
    pub create_time: Option<DateTime<Utc>>,
    pub deployed_index_auth_config: Option<GoogleCloudAiplatformV1DeployedIndexAuthConfig>,
    pub display_name: Option<String>,
    pub private_endpoints: Option<GoogleCloudAiplatformV1IndexPrivateEndpoints>,
    pub reserved_ip_ranges: Option<Vec<String>>,
    pub index_sync_time: Option<DateTime<Utc>>,
}

A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.

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 index endpoints mutate deployed index projects (request)

Fields

id: Option<String>

Required. The user specified ID of the DeployedIndex. The ID can be up to 128 characters long and must start with a letter and only contain letters, numbers, and underscores. The ID must be unique within the project it is created in.

enable_access_logging: Option<bool>

Optional. If true, private endpoint’s access logs are sent to Cloud Logging. These logs are like standard server access logs, containing information like timestamp and latency for each MatchRequest. Note that logs may incur a cost, especially if the deployed index receives a high queries per second rate (QPS). Estimate your costs before enabling this option.

automatic_resources: Option<GoogleCloudAiplatformV1AutomaticResources>

Optional. A description of resources that the DeployedIndex uses, which to large degree are decided by Vertex AI, and optionally allows only a modest additional configuration. If min_replica_count is not set, the default value is 2 (we don’t provide SLA when min_replica_count=1). If max_replica_count is not set, the default value is min_replica_count. The max allowed replica count is 1000.

dedicated_resources: Option<GoogleCloudAiplatformV1DedicatedResources>

Optional. A description of resources that are dedicated to the DeployedIndex, and that need a higher degree of manual configuration. The field min_replica_count must be set to a value strictly greater than 0, or else validation will fail. We don’t provide SLA when min_replica_count=1. If max_replica_count is not set, the default value is min_replica_count. The max allowed replica count is 1000. Available machine types for SMALL shard: e2-standard-2 and all machine types available for MEDIUM and LARGE shard. Available machine types for MEDIUM shard: e2-standard-16 and all machine types available for LARGE shard. Available machine types for LARGE shard: e2-highmem-16, n2d-standard-32. n1-standard-16 and n1-standard-32 are still available, but we recommend e2-standard-16 and e2-highmem-16 for cost efficiency.

index: Option<String>

Required. The name of the Index this is the deployment of. We may refer to this Index as the DeployedIndex’s “original” Index.

deployment_group: Option<String>

Optional. The deployment group can be no longer than 64 characters (eg: ‘test’, ‘prod’). If not set, we will use the ‘default’ deployment group. Creating deployment_groups with reserved_ip_ranges is a recommended practice when the peered network has multiple peering ranges. This creates your deployments from predictable IP spaces for easier traffic administration. Also, one deployment_group (except ‘default’) can only be used with the same reserved_ip_ranges which means if the deployment_group has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or [d, e] is disallowed. Note: we only support up to 5 deployment groups(not including ‘default’).

create_time: Option<DateTime<Utc>>

Output only. Timestamp when the DeployedIndex was created.

deployed_index_auth_config: Option<GoogleCloudAiplatformV1DeployedIndexAuthConfig>

Optional. If set, the authentication is enabled for the private endpoint.

display_name: Option<String>

The display name of the DeployedIndex. If not provided upon creation, the Index’s display_name is used.

private_endpoints: Option<GoogleCloudAiplatformV1IndexPrivateEndpoints>

Output only. Provides paths for users to send requests directly to the deployed index services running on Cloud via private services access. This field is populated if network is configured.

reserved_ip_ranges: Option<Vec<String>>

Optional. A list of reserved ip ranges under the VPC network that can be used for this DeployedIndex. If set, we will deploy the index within the provided ip ranges. Otherwise, the index might be deployed to any ip ranges under the provided VPC network. The value should be the name of the address (https://cloud.google.com/compute/docs/reference/rest/v1/addresses) Example: [‘vertex-ai-ip-range’]. For more information about subnets and network IP ranges, please see https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.

index_sync_time: Option<DateTime<Utc>>

Output only. The DeployedIndex may depend on various data on its original Index. Additionally when certain changes to the original Index are being done (e.g. when what the Index contains is being changed) the DeployedIndex may be asynchronously updated in the background to reflect these changes. If this timestamp’s value is at least the Index.update_time of the original Index, it means that this DeployedIndex and the original Index are in sync. If this timestamp is older, then to see which updates this DeployedIndex already contains (and which it does not), one must list the operations that are running on the original Index. Only the successfully completed Operations with update_time equal or before this sync time are contained in this DeployedIndex.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1DeployedIndex

fn clone(&self) -> GoogleCloudAiplatformV1DeployedIndex

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1DeployedIndex

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1DeployedIndex

fn default() -> GoogleCloudAiplatformV1DeployedIndex

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1DeployedIndex

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1DeployedIndex

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 GoogleCloudAiplatformV1DeployedIndex