Google Cloud Ai Platform V1 Client - Class DeployedIndex (1.8.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class DeployedIndex.

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

Generated from protobuf message google.cloud.aiplatform.v1.DeployedIndex

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name Description
data array

Optional. Data for populating the Message object.
↳ id 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.
↳ index string

Required. The name of the Index this is the deployment of. We may refer to this Index as the DeployedIndex's "original" Index.
↳ display_name string

The display name of the DeployedIndex. If not provided upon creation, the Index's display_name is used.
↳ create_time Google\Protobuf\Timestamp

Output only. Timestamp when the DeployedIndex was created.
↳ private_endpoints Google\Cloud\AIPlatform\V1\IndexPrivateEndpoints

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.
↳ index_sync_time Google\Protobuf\Timestamp

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.
↳ automatic_resources Google\Cloud\AIPlatform\V1\AutomaticResources

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 Google\Cloud\AIPlatform\V1\DedicatedResources

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.
↳ enable_access_logging 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.
↳ deployed_index_auth_config Google\Cloud\AIPlatform\V1\DeployedIndexAuthConfig

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

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.
↳ deployment_group 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').
↳ psc_automation_configs array<Google\Cloud\AIPlatform\V1\PSCAutomationConfig>

Optional. If set for PSC deployed index, PSC connection will be automatically created after deployment is done and the endpoint information is populated in private_endpoints.psc_automated_endpoints.

getId

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.

Returns
Type Description
string

setId

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.

Parameter
Name Description
var string
Returns
Type Description
$this

getIndex

Required. The name of the Index this is the deployment of.

We may refer to this Index as the DeployedIndex's "original" Index.

Returns
Type Description
string

setIndex

Required. The name of the Index this is the deployment of.

We may refer to this Index as the DeployedIndex's "original" Index.

Parameter
Name Description
var string
Returns
Type Description
$this

getDisplayName

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

Returns
Type Description
string

setDisplayName

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

Parameter
Name Description
var string
Returns
Type Description
$this

getCreateTime

Output only. Timestamp when the DeployedIndex was created.

Returns
Type Description
Google\Protobuf\Timestamp|null

hasCreateTime

clearCreateTime

setCreateTime

Output only. Timestamp when the DeployedIndex was created.

Parameter
Name Description
var Google\Protobuf\Timestamp
Returns
Type Description
$this

getPrivateEndpoints

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.

Returns
Type Description
Google\Cloud\AIPlatform\V1\IndexPrivateEndpoints|null

hasPrivateEndpoints

clearPrivateEndpoints

setPrivateEndpoints

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.

Parameter
Name Description
var Google\Cloud\AIPlatform\V1\IndexPrivateEndpoints
Returns
Type Description
$this

getIndexSyncTime

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.

Returns
Type Description
Google\Protobuf\Timestamp|null

hasIndexSyncTime

clearIndexSyncTime

setIndexSyncTime

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.

Parameter
Name Description
var Google\Protobuf\Timestamp
Returns
Type Description
$this

getAutomaticResources

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.

Returns
Type Description
Google\Cloud\AIPlatform\V1\AutomaticResources|null

hasAutomaticResources

clearAutomaticResources

setAutomaticResources

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.

Parameter
Name Description
var Google\Cloud\AIPlatform\V1\AutomaticResources
Returns
Type Description
$this

getDedicatedResources

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.

Returns
Type Description
Google\Cloud\AIPlatform\V1\DedicatedResources|null

hasDedicatedResources

clearDedicatedResources

setDedicatedResources

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.

Parameter
Name Description
var Google\Cloud\AIPlatform\V1\DedicatedResources
Returns
Type Description
$this

getEnableAccessLogging

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.

Returns
Type Description
bool

setEnableAccessLogging

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.

Parameter
Name Description
var bool
Returns
Type Description
$this

getDeployedIndexAuthConfig

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

Returns
Type Description
Google\Cloud\AIPlatform\V1\DeployedIndexAuthConfig|null

hasDeployedIndexAuthConfig

clearDeployedIndexAuthConfig

setDeployedIndexAuthConfig

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

Parameter
Name Description
var Google\Cloud\AIPlatform\V1\DeployedIndexAuthConfig
Returns
Type Description
$this

getReservedIpRanges

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.

Returns
Type Description
Google\Protobuf\Internal\RepeatedField

setReservedIpRanges

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.

Parameter
Name Description
var string[]
Returns
Type Description
$this

getDeploymentGroup

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').

Returns
Type Description
string

setDeploymentGroup

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').

Parameter
Name Description
var string
Returns
Type Description
$this

getPscAutomationConfigs

Optional. If set for PSC deployed index, PSC connection will be automatically created after deployment is done and the endpoint information is populated in private_endpoints.psc_automated_endpoints.

Returns
Type Description
Google\Protobuf\Internal\RepeatedField

setPscAutomationConfigs

Optional. If set for PSC deployed index, PSC connection will be automatically created after deployment is done and the endpoint information is populated in private_endpoints.psc_automated_endpoints.

Parameter
Name Description
var array<Google\Cloud\AIPlatform\V1\PSCAutomationConfig>
Returns
Type Description
$this