Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::FeaturestoreService::Client (v0.5.0)

Stay organized with collections Save and categorize content based on your preferences.

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.

Yields
  • (config) — Configure the Client client.
Yield Parameter
Example
# 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.

Overloads
def batch_create_features(request, options = nil) -> ::Gapic::Operation
Pass arguments to batch_create_features via a request object, either of type BatchCreateFeaturesRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
  • 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. If parent is set in a child request, then the value must match the parent value in this request message.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
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) -> ::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.

Overloads
def batch_read_feature_values(request, options = nil) -> ::Gapic::Operation
Pass arguments to batch_read_feature_values via a request object, either of type BatchReadFeatureValuesRequest or an equivalent Hash.
Parameters
  • 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) -> ::Gapic::Operation
Pass arguments to 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).
Parameters
  • 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], ..., timestamp

    The 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. Each EntityType referenced in [BatchReadFeatureValuesRequest.entity_type_specs] must have a column specifying entity IDs in the EntityType in [BatchReadFeatureValuesRequest.request][] .
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
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.

Yields
  • (config) — Configure the Client client.
Yield Parameter

#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.

Overloads
def create_entity_type(request, options = nil) -> ::Gapic::Operation
Pass arguments to create_entity_type via a request object, either of type CreateEntityTypeRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
  • 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.

Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
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.

Overloads
def create_feature(request, options = nil) -> ::Gapic::Operation
Pass arguments to create_feature via a request object, either of type CreateFeatureRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
  • 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 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.

    The value must be unique within an EntityType.

Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
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.

Overloads
def create_featurestore(request, options = nil) -> ::Gapic::Operation
Pass arguments to create_featurestore via a request object, either of type CreateFeaturestoreRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
  • 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.

Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
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.

Overloads
def delete_entity_type(request, options = nil) -> ::Gapic::Operation
Pass arguments to delete_entity_type via a request object, either of type DeleteEntityTypeRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
  • 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.)
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#delete_feature

def delete_feature(request, options = nil) -> ::Gapic::Operation
def delete_feature(name: nil) -> ::Gapic::Operation

Deletes a single Feature.

Overloads
def delete_feature(request, options = nil) -> ::Gapic::Operation
Pass arguments to delete_feature via a request object, either of type DeleteFeatureRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameter
  • name (::String) — Required. The name of the Features to be deleted. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
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.

Overloads
def delete_featurestore(request, options = nil) -> ::Gapic::Operation
Pass arguments to delete_featurestore via a request object, either of type DeleteFeaturestoreRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
  • 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.)
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
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.

Overloads
def export_feature_values(request, options = nil) -> ::Gapic::Operation
Pass arguments to export_feature_values via a request object, either of type ExportFeatureValuesRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
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.

Overloads
def get_entity_type(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::EntityType
Pass arguments to get_entity_type via a request object, either of type GetEntityTypeRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameter
  • name (::String) — Required. The name of the EntityType resource. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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.

Overloads
def get_feature(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::Feature
Pass arguments to get_feature via a request object, either of type GetFeatureRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameter
  • name (::String) — Required. The name of the Feature resource. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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.

Overloads
def get_featurestore(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::Featurestore
Pass arguments to get_featurestore via a request object, either of type GetFeaturestoreRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameter
  • name (::String) — Required. The name of the Featurestore resource.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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

#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.
Overloads
def import_feature_values(request, options = nil) -> ::Gapic::Operation
Pass arguments to import_feature_values via a request object, either of type ImportFeatureValuesRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
  • 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.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

#initialize

def initialize() { |config| ... } -> Client

Create a new FeaturestoreService client object.

Yields
  • (config) — Configure the FeaturestoreService client.
Yield Parameter
Returns
  • (Client) — a new instance of Client
Example
# 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.

Overloads
def list_entity_types(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::EntityType>
Pass arguments to list_entity_types via a request object, either of type ListEntityTypesRequest or an equivalent Hash.
Parameters
  • 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>
Pass arguments to 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).
Parameters
  • 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.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::EntityType.
  p response
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.

Overloads
def list_features(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>
Pass arguments to list_features via a request object, either of type ListFeaturesRequest or an equivalent Hash.
Parameters
  • 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>
Pass arguments to 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).
Parameters
  • 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.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::Feature.
  p response
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.

Overloads
def list_featurestores(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Featurestore>
Pass arguments to list_featurestores via a request object, either of type ListFeaturestoresRequest or an equivalent Hash.
Parameters
  • 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>
Pass arguments to 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).
Parameters
  • 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.
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::Featurestore.
  p response
end

#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.

Overloads
def search_features(request, options = nil) -> ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Feature>
Pass arguments to search_features via a request object, either of type SearchFeaturesRequest or an equivalent Hash.
Parameters
  • 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>
Pass arguments to 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).
Parameters
  • 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 substring foo (eg. foo, foofeature, barfoo).
    • feature_id: foo*feature --> Matches a Feature with ID containing the substring foo*feature (eg. foobarfeature).
    • feature_id: foo AND description: bar --> Matches a Feature with ID containing the substring foo and description containing the substring bar.

    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 to foo 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 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 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.

Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::Feature.
  p response
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.

Overloads
def update_entity_type(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::EntityType
Pass arguments to update_entity_type via a request object, either of type UpdateEntityTypeRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
  • 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
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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.

Overloads
def update_feature(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::Feature
Pass arguments to update_feature via a request object, either of type UpdateFeatureRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
  • 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
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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.

Overloads
def update_featurestore(request, options = nil) -> ::Gapic::Operation
Pass arguments to update_featurestore via a request object, either of type UpdateFeaturestoreRequest or an equivalent Hash.
Parameters
  • 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
Pass arguments to 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).
Parameters
  • 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
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)
Returns
  • (::Gapic::Operation)
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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 this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end