Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ImportFeatureValuesRequest

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

Request message for FeaturestoreService.ImportFeatureValues.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1ImportFeatureValuesRequest

Returns a new instance of GoogleCloudAiplatformV1ImportFeatureValuesRequest.



12423
12424
12425
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12423

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

Instance Attribute Details

#avro_source ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AvroSource

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

Returns:



12362
12363
12364
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12362

def avro_source
  @avro_source
end

#bigquery_source ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BigQuerySource

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

Returns:



12367
12368
12369
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12367

def bigquery_source
  @bigquery_source
end

#csv_source ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CsvSource

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

Returns:



12372
12373
12374
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12372

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) 


12377
12378
12379
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12377

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) 


12385
12386
12387
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12385

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) 


12392
12393
12394
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12392

def entity_id_field
  @entity_id_field
end

#feature_specs ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ImportFeatureValuesRequestFeatureSpec>

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:



12399
12400
12401
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12399

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) 


12405
12406
12407
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12405

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) 


12411
12412
12413
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12411

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) 


12421
12422
12423
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12421

def worker_count
  @worker_count
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



12428
12429
12430
12431
12432
12433
12434
12435
12436
12437
12438
12439
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 12428

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