Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ImportFeatureValuesRequest
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ImportFeatureValuesRequest
- 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
-
#avro_source ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AvroSource
The storage details for Avro input content.
-
#bigquery_source ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BigQuerySource
The BigQuery location for the input content.
-
#csv_source ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CsvSource
The storage details for CSV input content.
-
#disable_ingestion_analysis ⇒ Boolean
(also: #disable_ingestion_analysis?)
If true, API doesn't start ingestion analysis pipeline.
-
#disable_online_serving ⇒ Boolean
(also: #disable_online_serving?)
If set, data will not be imported for online serving.
-
#entity_id_field ⇒ String
Source column that holds entity IDs.
-
#feature_specs ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ImportFeatureValuesRequestFeatureSpec>
Required.
-
#feature_time ⇒ String
Single Feature timestamp for all entities being imported.
-
#feature_time_field ⇒ String
Source column that holds the Feature timestamp for all Feature values in each entity.
-
#worker_count ⇒ Fixnum
Specifies the number of workers that are used to write data to the Featurestore.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1ImportFeatureValuesRequest
constructor
A new instance of GoogleCloudAiplatformV1ImportFeatureValuesRequest.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1ImportFeatureValuesRequest
Returns a new instance of GoogleCloudAiplatformV1ImportFeatureValuesRequest.
7260 7261 7262 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7260 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
7199 7200 7201 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7199 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
7204 7205 7206 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7204 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
7209 7210 7211 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7209 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
7214 7215 7216 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7214 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
7222 7223 7224 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7222 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
7229 7230 7231 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7229 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
7236 7237 7238 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7236 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
7242 7243 7244 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7242 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
7248 7249 7250 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7248 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
7258 7259 7260 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7258 def worker_count @worker_count end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
7265 7266 7267 7268 7269 7270 7271 7272 7273 7274 7275 7276 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7265 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 |