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.
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7319 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7258 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7263 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7268 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7273 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7281 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7288 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7295 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7301 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7307 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7317 def worker_count @worker_count end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 7324 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 |