google-native.aiplatform/v1beta1.getFeatureView

func LookupFeatureView(ctx *Context, args *LookupFeatureViewArgs, opts ...InvokeOption) (*LookupFeatureViewResult, error)
func LookupFeatureViewOutput(ctx *Context, args *LookupFeatureViewOutputArgs, opts ...InvokeOption) LookupFeatureViewResultOutput

> Note: This function is named LookupFeatureView in the Go SDK.

FeatureOnlineStoreId string

FeatureViewId string

Location string

Project string

FeatureOnlineStoreId string

FeatureViewId string

Location string

Project string

featureOnlineStoreId String

featureViewId String

location String

project String

featureOnlineStoreId string

featureViewId string

location string

project string

feature_online_store_id str

feature_view_id str

location str

project str

featureOnlineStoreId String

featureViewId String

location String

project String

BigQuerySource Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1FeatureViewBigQuerySourceResponse

Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.

CreateTime string

Timestamp when this FeatureView was created.

Etag string

Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

FeatureRegistrySource Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceResponse

Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.

Labels Dictionary<string, string>

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.

Name string

Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

SyncConfig Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1FeatureViewSyncConfigResponse

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.

UpdateTime string

Timestamp when this FeatureView was last updated.

VectorSearchConfig Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigResponse

Optional. Configuration 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.

BigQuerySource GoogleCloudAiplatformV1beta1FeatureViewBigQuerySourceResponse

Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.

CreateTime string

Timestamp when this FeatureView was created.

Etag string

Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

FeatureRegistrySource GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceResponse

Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.

Labels map[string]string

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.

Name string

Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

SyncConfig GoogleCloudAiplatformV1beta1FeatureViewSyncConfigResponse

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.

UpdateTime string

Timestamp when this FeatureView was last updated.

VectorSearchConfig GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigResponse

Optional. Configuration 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.

bigQuerySource GoogleCloudAiplatformV1beta1FeatureViewBigQuerySourceResponse

Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.

createTime String

Timestamp when this FeatureView was created.

etag String

Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

featureRegistrySource GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceResponse

Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.

labels Map<String,String>

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.

name String

Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

syncConfig GoogleCloudAiplatformV1beta1FeatureViewSyncConfigResponse

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.

updateTime String

Timestamp when this FeatureView was last updated.

vectorSearchConfig GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigResponse

Optional. Configuration 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.

bigQuerySource GoogleCloudAiplatformV1beta1FeatureViewBigQuerySourceResponse

Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.

createTime string

Timestamp when this FeatureView was created.

etag string

Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

featureRegistrySource GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceResponse

Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.

labels {[key: string]: string}

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.

name string

Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

syncConfig GoogleCloudAiplatformV1beta1FeatureViewSyncConfigResponse

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.

updateTime string

Timestamp when this FeatureView was last updated.

vectorSearchConfig GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigResponse

Optional. Configuration 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.

big_query_source GoogleCloudAiplatformV1beta1FeatureViewBigQuerySourceResponse

Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.

create_time str

Timestamp when this FeatureView was created.

etag str

Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

feature_registry_source GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceResponse

Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.

labels Mapping[str, str]

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.

name str

Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

sync_config GoogleCloudAiplatformV1beta1FeatureViewSyncConfigResponse

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.

update_time str

Timestamp when this FeatureView was last updated.

vector_search_config GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigResponse

Optional. Configuration 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.

bigQuerySource Property Map

Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.

createTime String

Timestamp when this FeatureView was created.

etag String

Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

featureRegistrySource Property Map

Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.

labels Map<String>

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.

name String

Name of the FeatureView. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

syncConfig Property Map

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.

updateTime String

Timestamp when this FeatureView was last updated.

vectorSearchConfig Property Map

Optional. Configuration 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.

EntityIdColumns List<string>

Columns to construct entity_id / row keys. Start by supporting 1 only.

Uri string

The BigQuery view URI that will be materialized on each sync trigger based on FeatureView.SyncConfig.

EntityIdColumns []string

Columns to construct entity_id / row keys. Start by supporting 1 only.

Uri string

The BigQuery view URI that will be materialized on each sync trigger based on FeatureView.SyncConfig.

entityIdColumns List<String>

Columns to construct entity_id / row keys. Start by supporting 1 only.

uri String

The BigQuery view URI that will be materialized on each sync trigger based on FeatureView.SyncConfig.

entityIdColumns string[]

Columns to construct entity_id / row keys. Start by supporting 1 only.

uri string

The BigQuery view URI that will be materialized on each sync trigger based on FeatureView.SyncConfig.

entity_id_columns Sequence[str]

Columns to construct entity_id / row keys. Start by supporting 1 only.

uri str

The BigQuery view URI that will be materialized on each sync trigger based on FeatureView.SyncConfig.

entityIdColumns List<String>

Columns to construct entity_id / row keys. Start by supporting 1 only.

uri String

The BigQuery view URI that will be materialized on each sync trigger based on FeatureView.SyncConfig.

FeatureGroupId string

Identifier of the feature group.

FeatureIds List<string>

Identifiers of features under the feature group.

FeatureGroupId string

Identifier of the feature group.

FeatureIds []string

Identifiers of features under the feature group.

featureGroupId String

Identifier of the feature group.

featureIds List<String>

Identifiers of features under the feature group.

featureGroupId string

Identifier of the feature group.

featureIds string[]

Identifiers of features under the feature group.

feature_group_id str

Identifier of the feature group.

feature_ids Sequence[str]

Identifiers of features under the feature group.

featureGroupId String

Identifier of the feature group.

featureIds List<String>

Identifiers of features under the feature group.

FeatureGroups List<Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceFeatureGroupResponse>

List of features that need to be synced to Online Store.

FeatureGroups []GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceFeatureGroupResponse

List of features that need to be synced to Online Store.

featureGroups List<GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceFeatureGroupResponse>

List of features that need to be synced to Online Store.

featureGroups GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceFeatureGroupResponse[]

List of features that need to be synced to Online Store.

feature_groups Sequence[GoogleCloudAiplatformV1beta1FeatureViewFeatureRegistrySourceFeatureGroupResponse]

List of features that need to be synced to Online Store.

featureGroups List<Property Map>

List of features that need to be synced to Online Store.

Cron string

Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".

Cron string

Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".

cron String

Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".

cron string

Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".

cron str

Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".

cron String

Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".

BruteForceConfig Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigBruteForceConfigResponse

Optional. Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search.

CrowdingColumn string

Optional. Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

DistanceMeasureType string

Optional. The distance measure used in nearest neighbor search.

EmbeddingColumn string

Optional. Column of embedding. This column contains the source data to create index for vector search. embedding_column must be set when using vector search.

EmbeddingDimension int

Optional. The number of dimensions of the input embedding.

FilterColumns List<string>

Optional. Columns of features that're used to filter vector search results.

TreeAhConfig Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigTreeAHConfigResponse

Optional. Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396

BruteForceConfig GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigBruteForceConfigResponse

Optional. Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search.

CrowdingColumn string

Optional. Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

DistanceMeasureType string

Optional. The distance measure used in nearest neighbor search.

EmbeddingColumn string

Optional. Column of embedding. This column contains the source data to create index for vector search. embedding_column must be set when using vector search.

EmbeddingDimension int

Optional. The number of dimensions of the input embedding.

FilterColumns []string

Optional. Columns of features that're used to filter vector search results.

TreeAhConfig GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigTreeAHConfigResponse

Optional. Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396

bruteForceConfig GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigBruteForceConfigResponse

Optional. Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search.

crowdingColumn String

Optional. Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

distanceMeasureType String

Optional. The distance measure used in nearest neighbor search.

embeddingColumn String

Optional. Column of embedding. This column contains the source data to create index for vector search. embedding_column must be set when using vector search.

embeddingDimension Integer

Optional. The number of dimensions of the input embedding.

filterColumns List<String>

Optional. Columns of features that're used to filter vector search results.

treeAhConfig GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigTreeAHConfigResponse

Optional. Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396

bruteForceConfig GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigBruteForceConfigResponse

Optional. Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search.

crowdingColumn string

Optional. Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

distanceMeasureType string

Optional. The distance measure used in nearest neighbor search.

embeddingColumn string

Optional. Column of embedding. This column contains the source data to create index for vector search. embedding_column must be set when using vector search.

embeddingDimension number

Optional. The number of dimensions of the input embedding.

filterColumns string[]

Optional. Columns of features that're used to filter vector search results.

treeAhConfig GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigTreeAHConfigResponse

Optional. Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396

brute_force_config GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigBruteForceConfigResponse

Optional. Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search.

crowding_column str

Optional. Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

distance_measure_type str

Optional. The distance measure used in nearest neighbor search.

embedding_column str

Optional. Column of embedding. This column contains the source data to create index for vector search. embedding_column must be set when using vector search.

embedding_dimension int

Optional. The number of dimensions of the input embedding.

filter_columns Sequence[str]

Optional. Columns of features that're used to filter vector search results.

tree_ah_config GoogleCloudAiplatformV1beta1FeatureViewVectorSearchConfigTreeAHConfigResponse

Optional. Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396

bruteForceConfig Property Map

Optional. Configuration options for using brute force search, which simply implements the standard linear search in the database for each query. It is primarily meant for benchmarking and to generate the ground truth for approximate search.

crowdingColumn String

Optional. Column of crowding. This column contains crowding attribute which is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

distanceMeasureType String

Optional. The distance measure used in nearest neighbor search.

embeddingColumn String

Optional. Column of embedding. This column contains the source data to create index for vector search. embedding_column must be set when using vector search.

embeddingDimension Number

Optional. The number of dimensions of the input embedding.

filterColumns List<String>

Optional. Columns of features that're used to filter vector search results.

treeAhConfig Property Map

Optional. Configuration options for the tree-AH algorithm (Shallow tree + Asymmetric Hashing). Please refer to this paper for more details: https://arxiv.org/abs/1908.10396

LeafNodeEmbeddingCount string

Optional. Number of embeddings on each leaf node. The default value is 1000 if not set.

LeafNodeEmbeddingCount string

Optional. Number of embeddings on each leaf node. The default value is 1000 if not set.

leafNodeEmbeddingCount String

Optional. Number of embeddings on each leaf node. The default value is 1000 if not set.

leafNodeEmbeddingCount string

Optional. Number of embeddings on each leaf node. The default value is 1000 if not set.

leaf_node_embedding_count str

Optional. Number of embeddings on each leaf node. The default value is 1000 if not set.

leafNodeEmbeddingCount String

Optional. Number of embeddings on each leaf node. The default value is 1000 if not set.