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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.
Client for the FeaturestoreService service.
The service that handles CRUD and List for resources for Featurestore.
Inherits
- Object
Methods
.configure
def self.configure() { |config| ... } -> Client::Configuration
Configure the FeaturestoreService Client class.
See Configuration for a description of the configuration fields.
- (config) — Configure the Client client.
- config (Client::Configuration)
# Modify the configuration for all FeaturestoreService clients ::Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.configure do |config| config.timeout = 10.0 end
#batch_create_features
def batch_create_features(request, options = nil) -> ::Gapic::Operation
def batch_create_features(parent: nil, requests: nil) -> ::Gapic::Operation
Creates a batch of Features in a given EntityType.
def batch_create_features(request, options = nil) -> ::Gapic::Operation
batch_create_features
via a request object, either of type
BatchCreateFeaturesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::BatchCreateFeaturesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def batch_create_features(parent: nil, requests: nil) -> ::Gapic::Operation
batch_create_features
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
parent (::String) — Required. The resource name of the EntityType to create the batch of
Features under. Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}
-
requests (::Array<::Google::Cloud::AIPlatform::V1::CreateFeatureRequest, ::Hash>) — Required. The request message specifying the Features to create. All
Features must be created under the same parent EntityType. The
parent
field in each child request message can be omitted. Ifparent
is set in a child request, then the value must match theparent
value in this request message.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::BatchCreateFeaturesRequest.new # Call the batch_create_features method. result = client.batch_create_features request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#batch_read_feature_values
def batch_read_feature_values(request, options = nil) -> ::Gapic::Operation
def batch_read_feature_values(csv_read_instances: nil, bigquery_read_instances: nil, featurestore: nil, destination: nil, pass_through_fields: nil, entity_type_specs: nil, start_time: nil) -> ::Gapic::Operation
Batch reads Feature values from a Featurestore.
This API enables batch reading Feature values, where each read instance in the batch may read Feature values of entities from one or more EntityTypes. Point-in-time correctness is guaranteed for Feature values of each read instance as of each instance's read timestamp.
def batch_read_feature_values(request, options = nil) -> ::Gapic::Operation
batch_read_feature_values
via a request object, either of type
BatchReadFeatureValuesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::BatchReadFeatureValuesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def batch_read_feature_values(csv_read_instances: nil, bigquery_read_instances: nil, featurestore: nil, destination: nil, pass_through_fields: nil, entity_type_specs: nil, start_time: nil) -> ::Gapic::Operation
batch_read_feature_values
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
csv_read_instances (::Google::Cloud::AIPlatform::V1::CsvSource, ::Hash) — Each read instance consists of exactly one read timestamp and one or more
entity IDs identifying entities of the corresponding EntityTypes whose
Features are requested.
Each output instance contains Feature values of requested entities concatenated together as of the read time.
An example read instance may be
foo_entity_id, bar_entity_id, 2020-01-01T10:00:00.123Z
.An example output instance may be
foo_entity_id, bar_entity_id, 2020-01-01T10:00:00.123Z, foo_entity_feature1_value, bar_entity_feature2_value
.Timestamp in each read instance must be millisecond-aligned.
csv_read_instances
are read instances stored in a plain-text CSV file. The header should be: [ENTITY_TYPE_ID1], [ENTITY_TYPE_ID2], ..., timestampThe columns can be in any order.
Values in the timestamp column must use the RFC 3339 format, e.g.
2012-07-30T10:43:17.123Z
. - bigquery_read_instances (::Google::Cloud::AIPlatform::V1::BigQuerySource, ::Hash) — Similar to csv_read_instances, but from BigQuery source.
-
featurestore (::String) — Required. The resource name of the Featurestore from which to query Feature
values. Format:
projects/{project}/locations/{location}/featurestores/{featurestore}
- destination (::Google::Cloud::AIPlatform::V1::FeatureValueDestination, ::Hash) — Required. Specifies output location and format.
-
pass_through_fields (::Array<::Google::Cloud::AIPlatform::V1::BatchReadFeatureValuesRequest::PassThroughField, ::Hash>) — When not empty, the specified fields in the *_read_instances source will be
joined as-is in the output, in addition to those fields from the
Featurestore Entity.
For BigQuery source, the type of the pass-through values will be automatically inferred. For CSV source, the pass-through values will be passed as opaque bytes.
- entity_type_specs (::Array<::Google::Cloud::AIPlatform::V1::BatchReadFeatureValuesRequest::EntityTypeSpec, ::Hash>) — Required. Specifies EntityType grouping Features to read values of and settings.
- start_time (::Google::Protobuf::Timestamp, ::Hash) — Optional. Excludes Feature values with feature generation timestamp before this timestamp. If not set, retrieve oldest values kept in Feature Store. Timestamp, if present, must not have higher than millisecond precision.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::BatchReadFeatureValuesRequest.new # Call the batch_read_feature_values method. result = client.batch_read_feature_values request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#configure
def configure() { |config| ... } -> Client::Configuration
Configure the FeaturestoreService Client instance.
The configuration is set to the derived mode, meaning that values can be changed, but structural changes (adding new fields, etc.) are not allowed. Structural changes should be made on Client.configure.
See Configuration for a description of the configuration fields.
- (config) — Configure the Client client.
- config (Client::Configuration)
#create_entity_type
def create_entity_type(request, options = nil) -> ::Gapic::Operation
def create_entity_type(parent: nil, entity_type: nil, entity_type_id: nil) -> ::Gapic::Operation
Creates a new EntityType in a given Featurestore.
def create_entity_type(request, options = nil) -> ::Gapic::Operation
create_entity_type
via a request object, either of type
CreateEntityTypeRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::CreateEntityTypeRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def create_entity_type(parent: nil, entity_type: nil, entity_type_id: nil) -> ::Gapic::Operation
create_entity_type
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
parent (::String) — Required. The resource name of the Featurestore to create EntityTypes.
Format:
projects/{project}/locations/{location}/featurestores/{featurestore}
- entity_type (::Google::Cloud::AIPlatform::V1::EntityType, ::Hash) — The EntityType to create.
-
entity_type_id (::String) — Required. The ID to use for the EntityType, which will become the final
component of the EntityType's resource name.
This value may be up to 60 characters, and valid characters are
[a-z0-9_]
. The first character cannot be a number.The value must be unique within a featurestore.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::CreateEntityTypeRequest.new # Call the create_entity_type method. result = client.create_entity_type request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#create_feature
def create_feature(request, options = nil) -> ::Gapic::Operation
def create_feature(parent: nil, feature: nil, feature_id: nil) -> ::Gapic::Operation
Creates a new Feature in a given EntityType.
def create_feature(request, options = nil) -> ::Gapic::Operation
create_feature
via a request object, either of type
CreateFeatureRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::CreateFeatureRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def create_feature(parent: nil, feature: nil, feature_id: nil) -> ::Gapic::Operation
create_feature
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
parent (::String) — Required. The resource name of the EntityType to create a Feature.
Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}
- feature (::Google::Cloud::AIPlatform::V1::Feature, ::Hash) — Required. The Feature to create.
-
feature_id (::String) — Required. The ID to use for the Feature, which will become the final
component of the Feature's resource name.
This value may be up to 128 characters, and valid characters are
[a-z0-9_]
. The first character cannot be a number.The value must be unique within an EntityType.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::CreateFeatureRequest.new # Call the create_feature method. result = client.create_feature request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#create_featurestore
def create_featurestore(request, options = nil) -> ::Gapic::Operation
def create_featurestore(parent: nil, featurestore: nil, featurestore_id: nil) -> ::Gapic::Operation
Creates a new Featurestore in a given project and location.
def create_featurestore(request, options = nil) -> ::Gapic::Operation
create_featurestore
via a request object, either of type
CreateFeaturestoreRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::CreateFeaturestoreRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def create_featurestore(parent: nil, featurestore: nil, featurestore_id: nil) -> ::Gapic::Operation
create_featurestore
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
parent (::String) — Required. The resource name of the Location to create Featurestores.
Format:
projects/{project}/locations/{location}'
- featurestore (::Google::Cloud::AIPlatform::V1::Featurestore, ::Hash) — Required. The Featurestore to create.
-
featurestore_id (::String) — Required. The ID to use for this Featurestore, which will become the final
component of the Featurestore's resource name.
This value may be up to 60 characters, and valid characters are
[a-z0-9_]
. The first character cannot be a number.The value must be unique within the project and location.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::CreateFeaturestoreRequest.new # Call the create_featurestore method. result = client.create_featurestore request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#delete_entity_type
def delete_entity_type(request, options = nil) -> ::Gapic::Operation
def delete_entity_type(name: nil, force: nil) -> ::Gapic::Operation
Deletes a single EntityType. The EntityType must not have any Features
or force
must be set to true for the request to succeed.
def delete_entity_type(request, options = nil) -> ::Gapic::Operation
delete_entity_type
via a request object, either of type
DeleteEntityTypeRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::DeleteEntityTypeRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def delete_entity_type(name: nil, force: nil) -> ::Gapic::Operation
delete_entity_type
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
name (::String) — Required. The name of the EntityType to be deleted.
Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}
- force (::Boolean) — If set to true, any Features for this EntityType will also be deleted. (Otherwise, the request will only work if the EntityType has no Features.)
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::DeleteEntityTypeRequest.new # Call the delete_entity_type method. result = client.delete_entity_type request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#delete_feature
def delete_feature(request, options = nil) -> ::Gapic::Operation
def delete_feature(name: nil) -> ::Gapic::Operation
Deletes a single Feature.
def delete_feature(request, options = nil) -> ::Gapic::Operation
delete_feature
via a request object, either of type
DeleteFeatureRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::DeleteFeatureRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def delete_feature(name: nil) -> ::Gapic::Operation
delete_feature
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
name (::String) — Required. The name of the Features to be deleted.
Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::DeleteFeatureRequest.new # Call the delete_feature method. result = client.delete_feature request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#delete_feature_values
def delete_feature_values(request, options = nil) -> ::Gapic::Operation
def delete_feature_values(select_entity: nil, select_time_range_and_feature: nil, entity_type: nil) -> ::Gapic::Operation
Delete Feature values from Featurestore.
The progress of the deletion is tracked by the returned operation. The deleted feature values are guaranteed to be invisible to subsequent read operations after the operation is marked as successfully done.
If a delete feature values operation fails, the feature values returned from reads and exports may be inconsistent. If consistency is required, the caller must retry the same delete request again and wait till the new operation returned is marked as successfully done.
def delete_feature_values(request, options = nil) -> ::Gapic::Operation
delete_feature_values
via a request object, either of type
DeleteFeatureValuesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::DeleteFeatureValuesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def delete_feature_values(select_entity: nil, select_time_range_and_feature: nil, entity_type: nil) -> ::Gapic::Operation
delete_feature_values
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
- select_entity (::Google::Cloud::AIPlatform::V1::DeleteFeatureValuesRequest::SelectEntity, ::Hash) — Select feature values to be deleted by specifying entities.
- select_time_range_and_feature (::Google::Cloud::AIPlatform::V1::DeleteFeatureValuesRequest::SelectTimeRangeAndFeature, ::Hash) — Select feature values to be deleted by specifying time range and features.
-
entity_type (::String) — Required. The resource name of the EntityType grouping the Features for
which values are being deleted from. Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::DeleteFeatureValuesRequest.new # Call the delete_feature_values method. result = client.delete_feature_values request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#delete_featurestore
def delete_featurestore(request, options = nil) -> ::Gapic::Operation
def delete_featurestore(name: nil, force: nil) -> ::Gapic::Operation
Deletes a single Featurestore. The Featurestore must not contain any
EntityTypes or force
must be set to true for the request to succeed.
def delete_featurestore(request, options = nil) -> ::Gapic::Operation
delete_featurestore
via a request object, either of type
DeleteFeaturestoreRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::DeleteFeaturestoreRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def delete_featurestore(name: nil, force: nil) -> ::Gapic::Operation
delete_featurestore
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
name (::String) — Required. The name of the Featurestore to be deleted.
Format:
projects/{project}/locations/{location}/featurestores/{featurestore}
- force (::Boolean) — If set to true, any EntityTypes and Features for this Featurestore will also be deleted. (Otherwise, the request will only work if the Featurestore has no EntityTypes.)
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::DeleteFeaturestoreRequest.new # Call the delete_featurestore method. result = client.delete_featurestore request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#export_feature_values
def export_feature_values(request, options = nil) -> ::Gapic::Operation
def export_feature_values(snapshot_export: nil, full_export: nil, entity_type: nil, destination: nil, feature_selector: nil, settings: nil) -> ::Gapic::Operation
Exports Feature values from all the entities of a target EntityType.
def export_feature_values(request, options = nil) -> ::Gapic::Operation
export_feature_values
via a request object, either of type
ExportFeatureValuesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::ExportFeatureValuesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def export_feature_values(snapshot_export: nil, full_export: nil, entity_type: nil, destination: nil, feature_selector: nil, settings: nil) -> ::Gapic::Operation
export_feature_values
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
- snapshot_export (::Google::Cloud::AIPlatform::V1::ExportFeatureValuesRequest::SnapshotExport, ::Hash) — Exports the latest Feature values of all entities of the EntityType within a time range.
- full_export (::Google::Cloud::AIPlatform::V1::ExportFeatureValuesRequest::FullExport, ::Hash) — Exports all historical values of all entities of the EntityType within a time range
-
entity_type (::String) — Required. The resource name of the EntityType from which to export Feature
values. Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}
- destination (::Google::Cloud::AIPlatform::V1::FeatureValueDestination, ::Hash) — Required. Specifies destination location and format.
- feature_selector (::Google::Cloud::AIPlatform::V1::FeatureSelector, ::Hash) — Required. Selects Features to export values of.
- settings (::Array<::Google::Cloud::AIPlatform::V1::DestinationFeatureSetting, ::Hash>) — Per-Feature export settings.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::ExportFeatureValuesRequest.new # Call the export_feature_values method. result = client.export_feature_values request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#get_entity_type
def get_entity_type(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::EntityType
def get_entity_type(name: nil) -> ::Google::Cloud::AIPlatform::V1::EntityType
Gets details of a single EntityType.
def get_entity_type(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::EntityType
get_entity_type
via a request object, either of type
GetEntityTypeRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::GetEntityTypeRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def get_entity_type(name: nil) -> ::Google::Cloud::AIPlatform::V1::EntityType
get_entity_type
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
name (::String) — Required. The name of the EntityType resource.
Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}
- (response, operation) — Access the result along with the RPC operation
- response (::Google::Cloud::AIPlatform::V1::EntityType)
- operation (::GRPC::ActiveCall::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::GetEntityTypeRequest.new # Call the get_entity_type method. result = client.get_entity_type request # The returned object is of type Google::Cloud::AIPlatform::V1::EntityType. p result
#get_feature
def get_feature(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::Feature
def get_feature(name: nil) -> ::Google::Cloud::AIPlatform::V1::Feature
Gets details of a single Feature.
def get_feature(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::Feature
get_feature
via a request object, either of type
GetFeatureRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::GetFeatureRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def get_feature(name: nil) -> ::Google::Cloud::AIPlatform::V1::Feature
get_feature
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
name (::String) — Required. The name of the Feature resource.
Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}
- (response, operation) — Access the result along with the RPC operation
- response (::Google::Cloud::AIPlatform::V1::Feature)
- operation (::GRPC::ActiveCall::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::GetFeatureRequest.new # Call the get_feature method. result = client.get_feature request # The returned object is of type Google::Cloud::AIPlatform::V1::Feature. p result
#get_featurestore
def get_featurestore(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::Featurestore
def get_featurestore(name: nil) -> ::Google::Cloud::AIPlatform::V1::Featurestore
Gets details of a single Featurestore.
def get_featurestore(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::Featurestore
get_featurestore
via a request object, either of type
GetFeaturestoreRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::GetFeaturestoreRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def get_featurestore(name: nil) -> ::Google::Cloud::AIPlatform::V1::Featurestore
get_featurestore
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
- name (::String) — Required. The name of the Featurestore resource.
- (response, operation) — Access the result along with the RPC operation
- response (::Google::Cloud::AIPlatform::V1::Featurestore)
- operation (::GRPC::ActiveCall::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::GetFeaturestoreRequest.new # Call the get_featurestore method. result = client.get_featurestore request # The returned object is of type Google::Cloud::AIPlatform::V1::Featurestore. p result
#iam_policy_client
def iam_policy_client() -> Google::Iam::V1::IAMPolicy::Client
Get the associated client for mix-in of the IAMPolicy.
- (Google::Iam::V1::IAMPolicy::Client)
#import_feature_values
def import_feature_values(request, options = nil) -> ::Gapic::Operation
def import_feature_values(avro_source: nil, bigquery_source: nil, csv_source: nil, feature_time_field: nil, feature_time: nil, entity_type: nil, entity_id_field: nil, feature_specs: nil, disable_online_serving: nil, worker_count: nil, disable_ingestion_analysis: nil) -> ::Gapic::Operation
Imports Feature values into the Featurestore from a source storage.
The progress of the import is tracked by the returned operation. The imported features are guaranteed to be visible to subsequent read operations after the operation is marked as successfully done.
If an import operation fails, the Feature values returned from reads and exports may be inconsistent. If consistency is required, the caller must retry the same import request again and wait till the new operation returned is marked as successfully done.
There are also scenarios where the caller can cause inconsistency.
- Source data for import contains multiple distinct Feature values for the same entity ID and timestamp.
- Source is modified during an import. This includes adding, updating, or removing source data and/or metadata. Examples of updating metadata include but are not limited to changing storage location, storage class, or retention policy.
- Online serving cluster is under-provisioned.
def import_feature_values(request, options = nil) -> ::Gapic::Operation
import_feature_values
via a request object, either of type
ImportFeatureValuesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::ImportFeatureValuesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def import_feature_values(avro_source: nil, bigquery_source: nil, csv_source: nil, feature_time_field: nil, feature_time: nil, entity_type: nil, entity_id_field: nil, feature_specs: nil, disable_online_serving: nil, worker_count: nil, disable_ingestion_analysis: nil) -> ::Gapic::Operation
import_feature_values
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
- avro_source (::Google::Cloud::AIPlatform::V1::AvroSource, ::Hash)
- bigquery_source (::Google::Cloud::AIPlatform::V1::BigQuerySource, ::Hash)
- csv_source (::Google::Cloud::AIPlatform::V1::CsvSource, ::Hash)
- feature_time_field (::String) — Source column that holds the Feature timestamp for all Feature values in each entity.
- feature_time (::Google::Protobuf::Timestamp, ::Hash) — Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
-
entity_type (::String) — Required. The resource name of the EntityType grouping the Features for
which values are being imported. Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}
-
entity_id_field (::String) — Source column that holds entity IDs. If not provided, entity IDs are
extracted from the column named
entity_id
. - feature_specs (::Array<::Google::Cloud::AIPlatform::V1::ImportFeatureValuesRequest::FeatureSpec, ::Hash>) — Required. Specifications defining which Feature values to import from the entity. The request fails if no feature_specs are provided, and having multiple feature_specs for one Feature is not allowed.
- disable_online_serving (::Boolean) — If set, data will not be imported for online serving. This is typically used for backfilling, where Feature generation timestamps are not in the timestamp range needed for online serving.
- worker_count (::Integer) — Specifies the number of workers that are used to write data to the Featurestore. Consider the online serving capacity that you require to achieve the desired import throughput without interfering with online serving. The value must be positive, and less than or equal to 100. If not set, defaults to using 1 worker. The low count ensures minimal impact on online serving performance.
- disable_ingestion_analysis (::Boolean) — If true, API doesn't start ingestion analysis pipeline.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::ImportFeatureValuesRequest.new # Call the import_feature_values method. result = client.import_feature_values request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end
#initialize
def initialize() { |config| ... } -> Client
Create a new FeaturestoreService client object.
- (config) — Configure the FeaturestoreService client.
- config (Client::Configuration)
- (Client) — a new instance of Client
# Create a client using the default configuration client = ::Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a client using a custom configuration client = ::Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new do |config| config.timeout = 10.0 end
#list_entity_types
def list_entity_types(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::EntityType>
def list_entity_types(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::EntityType>
Lists EntityTypes in a given Featurestore.
def list_entity_types(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::EntityType>
list_entity_types
via a request object, either of type
ListEntityTypesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::ListEntityTypesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def list_entity_types(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::EntityType>
list_entity_types
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
parent (::String) — Required. The resource name of the Featurestore to list EntityTypes.
Format:
projects/{project}/locations/{location}/featurestores/{featurestore}
-
filter (::String) —
Lists the EntityTypes that match the filter expression. The following filters are supported:
create_time
: Supports=
,!=
,<
,>
,>=
, and<=
comparisons. Values must be in RFC 3339 format.update_time
: Supports=
,!=
,<
,>
,>=
, and<=
comparisons. Values must be in RFC 3339 format.labels
: Supports key-value equality as well as key presence.
Examples:
create_time > \"2020-01-31T15:30:00.000000Z\" OR update_time > \"2020-01-31T15:30:00.000000Z\"
--> EntityTypes created or updated after 2020-01-31T15:30:00.000000Z.labels.active = yes AND labels.env = prod
--> EntityTypes having both (active: yes) and (env: prod) labels.labels.env: *
--> Any EntityType which has a label with 'env' as the key.
- page_size (::Integer) — The maximum number of EntityTypes to return. The service may return fewer than this value. If unspecified, at most 1000 EntityTypes will be returned. The maximum value is 1000; any value greater than 1000 will be coerced to 1000.
-
page_token (::String) — A page token, received from a previous
FeaturestoreService.ListEntityTypes
call. Provide this to retrieve the subsequent page.
When paginating, all other parameters provided to FeaturestoreService.ListEntityTypes must match the call that provided the page token.
-
order_by (::String) —
A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending.
Supported fields:
entity_type_id
create_time
update_time
- read_mask (::Google::Protobuf::FieldMask, ::Hash) — Mask specifying which fields to read.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::EntityType>)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::EntityType>)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::ListEntityTypesRequest.new # Call the list_entity_types method. result = client.list_entity_types request # The returned object is of type Gapic::PagedEnumerable. You can iterate # over elements, and API calls will be issued to fetch pages as needed. result.each do |item| # Each element is of type ::Google::Cloud::AIPlatform::V1::EntityType. p item end
#list_features
def list_features(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>
def list_features(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil, latest_stats_count: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>
Lists Features in a given EntityType.
def list_features(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>
list_features
via a request object, either of type
ListFeaturesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::ListFeaturesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def list_features(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil, latest_stats_count: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>
list_features
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
parent (::String) — Required. The resource name of the Location to list Features.
Format:
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}
-
filter (::String) —
Lists the Features that match the filter expression. The following filters are supported:
value_type
: Supports = and != comparisons.create_time
: Supports =, !=, <, >, >=, and <= comparisons. Values must be in RFC 3339 format.update_time
: Supports =, !=, <, >, >=, and <= comparisons. Values must be in RFC 3339 format.labels
: Supports key-value equality as well as key presence.
Examples:
value_type = DOUBLE
--> Features whose type is DOUBLE.create_time > \"2020-01-31T15:30:00.000000Z\" OR update_time > \"2020-01-31T15:30:00.000000Z\"
--> EntityTypes created or updated after 2020-01-31T15:30:00.000000Z.labels.active = yes AND labels.env = prod
--> Features having both (active: yes) and (env: prod) labels.labels.env: *
--> Any Feature which has a label with 'env' as the key.
- page_size (::Integer) — The maximum number of Features to return. The service may return fewer than this value. If unspecified, at most 1000 Features will be returned. The maximum value is 1000; any value greater than 1000 will be coerced to 1000.
-
page_token (::String) — A page token, received from a previous
FeaturestoreService.ListFeatures
call. Provide this to retrieve the subsequent page.
When paginating, all other parameters provided to FeaturestoreService.ListFeatures must match the call that provided the page token.
-
order_by (::String) —
A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields:
feature_id
value_type
create_time
update_time
- read_mask (::Google::Protobuf::FieldMask, ::Hash) — Mask specifying which fields to read.
- latest_stats_count (::Integer) — If set, return the most recent ListFeaturesRequest.latest_stats_count of stats for each Feature in response. Valid value is [0, 10]. If number of stats exists < ListFeaturesRequest.latest_stats_count, return all existing stats.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::ListFeaturesRequest.new # Call the list_features method. result = client.list_features request # The returned object is of type Gapic::PagedEnumerable. You can iterate # over elements, and API calls will be issued to fetch pages as needed. result.each do |item| # Each element is of type ::Google::Cloud::AIPlatform::V1::Feature. p item end
#list_featurestores
def list_featurestores(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Featurestore>
def list_featurestores(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Featurestore>
Lists Featurestores in a given project and location.
def list_featurestores(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Featurestore>
list_featurestores
via a request object, either of type
ListFeaturestoresRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::ListFeaturestoresRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def list_featurestores(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Featurestore>
list_featurestores
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
parent (::String) — Required. The resource name of the Location to list Featurestores.
Format:
projects/{project}/locations/{location}
-
filter (::String) —
Lists the featurestores that match the filter expression. The following fields are supported:
create_time
: Supports=
,!=
,<
,>
,<=
, and>=
comparisons. Values must be in RFC 3339 format.update_time
: Supports=
,!=
,<
,>
,<=
, and>=
comparisons. Values must be in RFC 3339 format.online_serving_config.fixed_node_count
: Supports=
,!=
,<
,>
,<=
, and>=
comparisons.labels
: Supports key-value equality and key presence.
Examples:
create_time > "2020-01-01" OR update_time > "2020-01-01"
Featurestores created or updated after 2020-01-01.labels.env = "prod"
Featurestores with label "env" set to "prod".
- page_size (::Integer) — The maximum number of Featurestores to return. The service may return fewer than this value. If unspecified, at most 100 Featurestores will be returned. The maximum value is 100; any value greater than 100 will be coerced to 100.
-
page_token (::String) — A page token, received from a previous
FeaturestoreService.ListFeaturestores
call. Provide this to retrieve the subsequent page.
When paginating, all other parameters provided to FeaturestoreService.ListFeaturestores must match the call that provided the page token.
-
order_by (::String) —
A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported Fields:
create_time
update_time
online_serving_config.fixed_node_count
- read_mask (::Google::Protobuf::FieldMask, ::Hash) — Mask specifying which fields to read.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Featurestore>)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Featurestore>)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::ListFeaturestoresRequest.new # Call the list_featurestores method. result = client.list_featurestores request # The returned object is of type Gapic::PagedEnumerable. You can iterate # over elements, and API calls will be issued to fetch pages as needed. result.each do |item| # Each element is of type ::Google::Cloud::AIPlatform::V1::Featurestore. p item end
#location_client
def location_client() -> Google::Cloud::Location::Locations::Client
Get the associated client for mix-in of the Locations.
- (Google::Cloud::Location::Locations::Client)
#operations_client
def operations_client() -> ::Google::Cloud::AIPlatform::V1::FeaturestoreService::Operations
Get the associated client for long-running operations.
#search_features
def search_features(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>
def search_features(location: nil, query: nil, page_size: nil, page_token: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>
Searches Features matching a query in a given project.
def search_features(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>
search_features
via a request object, either of type
SearchFeaturesRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::SearchFeaturesRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def search_features(location: nil, query: nil, page_size: nil, page_token: nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>
search_features
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
location (::String) — Required. The resource name of the Location to search Features.
Format:
projects/{project}/locations/{location}
-
query (::String) —
Query string that is a conjunction of field-restricted queries and/or field-restricted filters. Field-restricted queries and filters can be combined using
AND
to form a conjunction.A field query is in the form FIELD:QUERY. This implicitly checks if QUERY exists as a substring within Feature's FIELD. The QUERY and the FIELD are converted to a sequence of words (i.e. tokens) for comparison. This is done by:
- Removing leading/trailing whitespace and tokenizing the search value.
Characters that are not one of alphanumeric
[a-zA-Z0-9]
, underscore_
, or asterisk*
are treated as delimiters for tokens.*
is treated as a wildcard that matches characters within a token. - Ignoring case.
- Prepending an asterisk to the first and appending an asterisk to the last token in QUERY.
A QUERY must be either a singular token or a phrase. A phrase is one or multiple words enclosed in double quotation marks ("). With phrases, the order of the words is important. Words in the phrase must be matching in order and consecutively.
Supported FIELDs for field-restricted queries:
feature_id
description
entity_type_id
Examples:
feature_id: foo
--> Matches a Feature with ID containing the substringfoo
(eg.foo
,foofeature
,barfoo
).feature_id: foo*feature
--> Matches a Feature with ID containing the substringfoo*feature
(eg.foobarfeature
).feature_id: foo AND description: bar
--> Matches a Feature with ID containing the substringfoo
and description containing the substringbar
.
Besides field queries, the following exact-match filters are supported. The exact-match filters do not support wildcards. Unlike field-restricted queries, exact-match filters are case-sensitive.
feature_id
: Supports = comparisons.description
: Supports = comparisons. Multi-token filters should be enclosed in quotes.entity_type_id
: Supports = comparisons.value_type
: Supports = and != comparisons.labels
: Supports key-value equality as well as key presence.featurestore_id
: Supports = comparisons.
Examples:
description = "foo bar"
--> Any Feature with description exactly equal tofoo bar
value_type = DOUBLE
--> Features whose type is DOUBLE.labels.active = yes AND labels.env = prod
--> Features having both (active: yes) and (env: prod) labels.labels.env: *
--> Any Feature which has a label withenv
as the key.
- Removing leading/trailing whitespace and tokenizing the search value.
Characters that are not one of alphanumeric
- page_size (::Integer) — The maximum number of Features to return. The service may return fewer than this value. If unspecified, at most 100 Features will be returned. The maximum value is 100; any value greater than 100 will be coerced to 100.
-
page_token (::String) — A page token, received from a previous
FeaturestoreService.SearchFeatures
call. Provide this to retrieve the subsequent page.
When paginating, all other parameters provided to FeaturestoreService.SearchFeatures, except
page_size
, must match the call that provided the page token.
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::SearchFeaturesRequest.new # Call the search_features method. result = client.search_features request # The returned object is of type Gapic::PagedEnumerable. You can iterate # over elements, and API calls will be issued to fetch pages as needed. result.each do |item| # Each element is of type ::Google::Cloud::AIPlatform::V1::Feature. p item end
#update_entity_type
def update_entity_type(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::EntityType
def update_entity_type(entity_type: nil, update_mask: nil) -> ::Google::Cloud::AIPlatform::V1::EntityType
Updates the parameters of a single EntityType.
def update_entity_type(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::EntityType
update_entity_type
via a request object, either of type
UpdateEntityTypeRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::UpdateEntityTypeRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def update_entity_type(entity_type: nil, update_mask: nil) -> ::Google::Cloud::AIPlatform::V1::EntityType
update_entity_type
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
entity_type (::Google::Cloud::AIPlatform::V1::EntityType, ::Hash) — Required. The EntityType's
name
field is used to identify the EntityType to be updated. Format:projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}
-
update_mask (::Google::Protobuf::FieldMask, ::Hash) —
Field mask is used to specify the fields to be overwritten in the EntityType resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to
*
to override all fields.Updatable fields:
description
labels
monitoring_config.snapshot_analysis.disabled
monitoring_config.snapshot_analysis.monitoring_interval_days
monitoring_config.snapshot_analysis.staleness_days
monitoring_config.import_features_analysis.state
monitoring_config.import_features_analysis.anomaly_detection_baseline
monitoring_config.numerical_threshold_config.value
monitoring_config.categorical_threshold_config.value
offline_storage_ttl_days
- (response, operation) — Access the result along with the RPC operation
- response (::Google::Cloud::AIPlatform::V1::EntityType)
- operation (::GRPC::ActiveCall::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::UpdateEntityTypeRequest.new # Call the update_entity_type method. result = client.update_entity_type request # The returned object is of type Google::Cloud::AIPlatform::V1::EntityType. p result
#update_feature
def update_feature(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::Feature
def update_feature(feature: nil, update_mask: nil) -> ::Google::Cloud::AIPlatform::V1::Feature
Updates the parameters of a single Feature.
def update_feature(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::Feature
update_feature
via a request object, either of type
UpdateFeatureRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::UpdateFeatureRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def update_feature(feature: nil, update_mask: nil) -> ::Google::Cloud::AIPlatform::V1::Feature
update_feature
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
feature (::Google::Cloud::AIPlatform::V1::Feature, ::Hash) — Required. The Feature's
name
field is used to identify the Feature to be updated. Format:projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}
-
update_mask (::Google::Protobuf::FieldMask, ::Hash) —
Field mask is used to specify the fields to be overwritten in the Features resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to
*
to override all fields.Updatable fields:
description
labels
disable_monitoring
- (response, operation) — Access the result along with the RPC operation
- response (::Google::Cloud::AIPlatform::V1::Feature)
- operation (::GRPC::ActiveCall::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::UpdateFeatureRequest.new # Call the update_feature method. result = client.update_feature request # The returned object is of type Google::Cloud::AIPlatform::V1::Feature. p result
#update_featurestore
def update_featurestore(request, options = nil) -> ::Gapic::Operation
def update_featurestore(featurestore: nil, update_mask: nil) -> ::Gapic::Operation
Updates the parameters of a single Featurestore.
def update_featurestore(request, options = nil) -> ::Gapic::Operation
update_featurestore
via a request object, either of type
UpdateFeaturestoreRequest or an equivalent Hash.
- request (::Google::Cloud::AIPlatform::V1::UpdateFeaturestoreRequest, ::Hash) — A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.
- options (::Gapic::CallOptions, ::Hash) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
def update_featurestore(featurestore: nil, update_mask: nil) -> ::Gapic::Operation
update_featurestore
via keyword arguments. Note that at
least one keyword argument is required. To specify no parameters, or to keep all
the default parameter values, pass an empty Hash as a request object (see above).
-
featurestore (::Google::Cloud::AIPlatform::V1::Featurestore, ::Hash) — Required. The Featurestore's
name
field is used to identify the Featurestore to be updated. Format:projects/{project}/locations/{location}/featurestores/{featurestore}
-
update_mask (::Google::Protobuf::FieldMask, ::Hash) —
Field mask is used to specify the fields to be overwritten in the Featurestore resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to
*
to override all fields.Updatable fields:
labels
online_serving_config.fixed_node_count
online_serving_config.scaling
online_storage_ttl_days
- (response, operation) — Access the result along with the RPC operation
- response (::Gapic::Operation)
- operation (::GRPC::ActiveCall::Operation)
- (::Gapic::Operation)
- (::Google::Cloud::Error) — if the RPC is aborted.
Basic example
require "google/cloud/ai_platform/v1" # Create a client object. The client can be reused for multiple calls. client = Google::Cloud::AIPlatform::V1::FeaturestoreService::Client.new # Create a request. To set request fields, pass in keyword arguments. request = Google::Cloud::AIPlatform::V1::UpdateFeaturestoreRequest.new # Call the update_featurestore method. result = client.update_featurestore request # The returned object is of type Gapic::Operation. You can use it to # check the status of an operation, cancel it, or wait for results. # Here is how to wait for a response. result.wait_until_done! timeout: 60 if result.response? p result.response else puts "No response received." end