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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class FeatureView.
FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.
Generated from protobuf message google.cloud.aiplatform.v1.FeatureView
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ big_query_source
FeatureView\BigQuerySource
Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.
↳ feature_registry_source
FeatureView\FeatureRegistrySource
Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.
↳ vertex_rag_source
↳ name
string
Identifier. Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}
↳ create_time
↳ update_time
↳ etag
string
Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
↳ labels
array| Google\Protobuf\Internal\MapField
Optional. The labels with user-defined metadata to organize your FeatureViews. 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 on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
↳ sync_config
FeatureView\SyncConfig
Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
↳ index_config
FeatureView\IndexConfig
Optional. Configuration for index preparation for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.
↳ optimized_config
FeatureView\OptimizedConfig
Optional. Configuration for FeatureView created under Optimized FeatureOnlineStore.
↳ service_agent_type
int
Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to SERVICE_AGENT_TYPE_FEATURE_VIEW
. This will generate a separate service account to access the BigQuery source table.
↳ service_account_email
string
Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
↳ satisfies_pzs
bool
Output only. Reserved for future use.
↳ satisfies_pzi
bool
Output only. Reserved for future use.
getBigQuerySource
Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.
hasBigQuerySource
setBigQuerySource
Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.
$this
getFeatureRegistrySource
Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.
hasFeatureRegistrySource
setFeatureRegistrySource
Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.
$this
getVertexRagSource
Optional. The Vertex RAG Source that the FeatureView is linked to.
hasVertexRagSource
setVertexRagSource
Optional. The Vertex RAG Source that the FeatureView is linked to.
$this
getName
Identifier. Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}
string
setName
Identifier. Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}
var
string
$this
getCreateTime
Output only. Timestamp when this FeatureView was created.
hasCreateTime
clearCreateTime
setCreateTime
Output only. Timestamp when this FeatureView was created.
$this
getUpdateTime
Output only. Timestamp when this FeatureView was last updated.
hasUpdateTime
clearUpdateTime
setUpdateTime
Output only. Timestamp when this FeatureView was last updated.
$this
getEtag
Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
string
setEtag
Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
var
string
$this
getLabels
Optional. The labels with user-defined metadata to organize your FeatureViews.
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 on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
setLabels
Optional. The labels with user-defined metadata to organize your FeatureViews.
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 on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
$this
getSyncConfig
Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
hasSyncConfig
clearSyncConfig
setSyncConfig
Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
$this
getIndexConfig
Optional. Configuration for index preparation for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.
hasIndexConfig
clearIndexConfig
setIndexConfig
Optional. Configuration for index preparation for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.
$this
getOptimizedConfig
Optional. Configuration for FeatureView created under Optimized FeatureOnlineStore.
hasOptimizedConfig
clearOptimizedConfig
setOptimizedConfig
Optional. Configuration for FeatureView created under Optimized FeatureOnlineStore.
$this
getServiceAgentType
Optional. Service agent type used during data sync. By default, the Vertex
AI Service Agent is used. When using an IAM Policy to isolate this
FeatureView within a project, a separate service account should be
provisioned by setting this field to SERVICE_AGENT_TYPE_FEATURE_VIEW
.
This will generate a separate service account to access the BigQuery source table.
int
setServiceAgentType
Optional. Service agent type used during data sync. By default, the Vertex
AI Service Agent is used. When using an IAM Policy to isolate this
FeatureView within a project, a separate service account should be
provisioned by setting this field to SERVICE_AGENT_TYPE_FEATURE_VIEW
.
This will generate a separate service account to access the BigQuery source table.
var
int
$this
getServiceAccountEmail
Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
string
setServiceAccountEmail
Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
var
string
$this
getSatisfiesPzs
Output only. Reserved for future use.
bool
setSatisfiesPzs
Output only. Reserved for future use.
var
bool
$this
getSatisfiesPzi
Output only. Reserved for future use.
bool
setSatisfiesPzi
Output only. Reserved for future use.
var
bool
$this
getSource
string
