Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ImportFeatureValuesRequest

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Request message for FeaturestoreService.ImportFeatureValues.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1ImportFeatureValuesRequest

Returns a new instance of GoogleCloudAiplatformV1beta1ImportFeatureValuesRequest.



12095
12096
12097
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12095

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#avro_source ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AvroSource

The storage details for Avro input content. Corresponds to the JSON property avroSource

Returns:



12034
12035
12036
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12034

def avro_source
  @avro_source
end

#bigquery_source ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BigQuerySource

The BigQuery location for the input content. Corresponds to the JSON property bigquerySource

Returns:



12039
12040
12041
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12039

def bigquery_source
  @bigquery_source
end

#csv_source ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CsvSource

The storage details for CSV input content. Corresponds to the JSON property csvSource

Returns:



12044
12045
12046
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12044

def csv_source
  @csv_source
end

#disable_ingestion_analysis ⇒ Boolean Also known as: disable_ingestion_analysis?

If true, API doesn't start ingestion analysis pipeline. Corresponds to the JSON property disableIngestionAnalysis

Returns:

  • (Boolean) 


12049
12050
12051
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12049

def disable_ingestion_analysis
  @disable_ingestion_analysis
end

#disable_online_serving ⇒ Boolean Also known as: disable_online_serving?

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. Corresponds to the JSON property disableOnlineServing

Returns:

  • (Boolean) 


12057
12058
12059
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12057

def disable_online_serving
  @disable_online_serving
end

#entity_id_field ⇒ String

Source column that holds entity IDs. If not provided, entity IDs are extracted from the column named entity_id. Corresponds to the JSON property entityIdField

Returns:

  • (String) 


12064
12065
12066
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12064

def entity_id_field
  @entity_id_field
end

#feature_specs ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ImportFeatureValuesRequestFeatureSpec>

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. Corresponds to the JSON property featureSpecs

Returns:



12071
12072
12073
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12071

def feature_specs
  @feature_specs
end

#feature_time ⇒ String

Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision. Corresponds to the JSON property featureTime

Returns:

  • (String) 


12077
12078
12079
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12077

def feature_time
  @feature_time
end

#feature_time_field ⇒ String

Source column that holds the Feature timestamp for all Feature values in each entity. Corresponds to the JSON property featureTimeField

Returns:

  • (String) 


12083
12084
12085
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12083

def feature_time_field
  @feature_time_field
end

#worker_count ⇒ Fixnum

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. Corresponds to the JSON property workerCount

Returns:

  • (Fixnum) 


12093
12094
12095
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12093

def worker_count
  @worker_count
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



12100
12101
12102
12103
12104
12105
12106
12107
12108
12109
12110
12111
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12100

def update!(**args)
  @avro_source = args[:avro_source] if args.key?(:avro_source)
  @bigquery_source = args[:bigquery_source] if args.key?(:bigquery_source)
  @csv_source = args[:csv_source] if args.key?(:csv_source)
  @disable_ingestion_analysis = args[:disable_ingestion_analysis] if args.key?(:disable_ingestion_analysis)
  @disable_online_serving = args[:disable_online_serving] if args.key?(:disable_online_serving)
  @entity_id_field = args[:entity_id_field] if args.key?(:entity_id_field)
  @feature_specs = args[:feature_specs] if args.key?(:feature_specs)
  @feature_time = args[:feature_time] if args.key?(:feature_time)
  @feature_time_field = args[:feature_time_field] if args.key?(:feature_time_field)
  @worker_count = args[:worker_count] if args.key?(:worker_count)
end