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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 \ V1Methods
__construct
Constructor.
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
↳ private_endpoints
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
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
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.
↳ enable_datapoint_upsert_logging
bool
Optional. If true, logs to Cloud Logging errors relating to datapoint upserts. Under normal operation conditions, these log entries should be very rare. However, if incompatible datapoint updates are being uploaded to an index, a high volume of log entries may be generated in a short period of time. Note that logs may incur a cost, especially if the deployed index receives a high volume of datapoint upserts. Estimate your costs before enabling this option.
↳ deployed_index_auth_config
↳ 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< 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.
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.
var
string
$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.
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.
var
string
$this
getDisplayName
The display name of the DeployedIndex. If not provided upon creation, the Index's display_name is used.
string
setDisplayName
The display name of the DeployedIndex. If not provided upon creation, the Index's display_name is used.
var
string
$this
getCreateTime
Output only. Timestamp when the DeployedIndex was created.
hasCreateTime
clearCreateTime
setCreateTime
Output only. Timestamp when the DeployedIndex was created.
$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.
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.
$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.
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.
$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.
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.
$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.
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.
$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.
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.
var
bool
$this
getEnableDatapointUpsertLogging
Optional. If true, logs to Cloud Logging errors relating to datapoint upserts.
Under normal operation conditions, these log entries should be very rare. However, if incompatible datapoint updates are being uploaded to an index, a high volume of log entries may be generated in a short period of time. Note that logs may incur a cost, especially if the deployed index receives a high volume of datapoint upserts. Estimate your costs before enabling this option.
bool
setEnableDatapointUpsertLogging
Optional. If true, logs to Cloud Logging errors relating to datapoint upserts.
Under normal operation conditions, these log entries should be very rare. However, if incompatible datapoint updates are being uploaded to an index, a high volume of log entries may be generated in a short period of time. Note that logs may incur a cost, especially if the deployed index receives a high volume of datapoint upserts. Estimate your costs before enabling this option.
var
bool
$this
getDeployedIndexAuthConfig
Optional. If set, the authentication is enabled for the private endpoint.
hasDeployedIndexAuthConfig
clearDeployedIndexAuthConfig
setDeployedIndexAuthConfig
Optional. If set, the authentication is enabled for the private endpoint.
$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 .
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 .
var
string[]
$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').
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').
var
string
$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.
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.
$this
