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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ImportFeatureValuesRequest.
Request message for FeaturestoreService.ImportFeatureValues .
Generated from protobuf message google.cloud.aiplatform.v1.ImportFeatureValuesRequest
Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ avro_source
↳ bigquery_source
↳ csv_source
↳ feature_time_field
string
Source column that holds the Feature timestamp for all Feature values in each entity.
↳ feature_time
Google\Protobuf\Timestamp
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
>
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
bool
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
int
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
bool
If true, API doesn't start ingestion analysis pipeline.
getAvroSource
Generated from protobuf field .google.cloud.aiplatform.v1.AvroSource avro_source = 2;
hasAvroSource
setAvroSource
Generated from protobuf field .google.cloud.aiplatform.v1.AvroSource avro_source = 2;
$this
getBigquerySource
Generated from protobuf field .google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;
hasBigquerySource
setBigquerySource
Generated from protobuf field .google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;
$this
getCsvSource
Generated from protobuf field .google.cloud.aiplatform.v1.CsvSource csv_source = 4;
hasCsvSource
setCsvSource
Generated from protobuf field .google.cloud.aiplatform.v1.CsvSource csv_source = 4;
$this
getFeatureTimeField
Source column that holds the Feature timestamp for all Feature values in each entity.
string
hasFeatureTimeField
setFeatureTimeField
Source column that holds the Feature timestamp for all Feature values in each entity.
var
string
$this
getFeatureTime
Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
hasFeatureTime
setFeatureTime
Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.
$this
getEntityType
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}
string
setEntityType
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}
var
string
$this
getEntityIdField
Source column that holds entity IDs. If not provided, entity IDs are
extracted from the column named entity_id
.
string
setEntityIdField
Source column that holds entity IDs. If not provided, entity IDs are
extracted from the column named entity_id
.
var
string
$this
getFeatureSpecs
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.
setFeatureSpecs
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.
$this
getDisableOnlineServing
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.
bool
setDisableOnlineServing
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.
var
bool
$this
getWorkerCount
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.
int
setWorkerCount
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.
var
int
$this
getDisableIngestionAnalysis
If true, API doesn't start ingestion analysis pipeline.
bool
setDisableIngestionAnalysis
If true, API doesn't start ingestion analysis pipeline.
var
bool
$this
getSource
string
getFeatureTimeSource
string
