Google Cloud Ai Platform V1 Client - Class ImportFeatureValuesRequest (0.29.0)

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

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ avro_source`	`Google\Cloud\AIPlatform\V1\AvroSource`
`↳ bigquery_source`	`Google\Cloud\AIPlatform\V1\BigQuerySource`
`↳ csv_source`	`Google\Cloud\AIPlatform\V1\CsvSource`
`↳ 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;

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\AvroSource\|null`

hasAvroSource

setAvroSource

Generated from protobuf field .google.cloud.aiplatform.v1.AvroSource avro_source = 2;

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\AvroSource`

Returns
Type	Description
`$this`

getBigquerySource

Generated from protobuf field .google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\BigQuerySource\|null`

hasBigquerySource

setBigquerySource

Generated from protobuf field .google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\BigQuerySource`

Returns
Type	Description
`$this`

getCsvSource

Generated from protobuf field .google.cloud.aiplatform.v1.CsvSource csv_source = 4;

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\CsvSource\|null`

hasCsvSource

setCsvSource

Generated from protobuf field .google.cloud.aiplatform.v1.CsvSource csv_source = 4;

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\CsvSource`

Returns
Type	Description
`$this`

getFeatureTimeField

Source column that holds the Feature timestamp for all Feature values in each entity.

Returns
Type	Description
`string`

hasFeatureTimeField

setFeatureTimeField

Source column that holds the Feature timestamp for all Feature values in each entity.

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getFeatureTime

Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.

Returns
Type	Description
`Google\Protobuf\Timestamp\|null`

hasFeatureTime

setFeatureTime

Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision.

Parameter
Name	Description
`var`	`Google\Protobuf\Timestamp`

Returns
Type	Description
`$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}

Returns
Type	Description
`string`

setEntityType

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getEntityIdField

Source column that holds entity IDs. If not provided, entity IDs are extracted from the column named entity_id.

Returns
Type	Description
`string`

setEntityIdField

Source column that holds entity IDs. If not provided, entity IDs are extracted from the column named entity_id.

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$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.

Returns
Type	Description
`Google\Protobuf\Internal\RepeatedField`

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.

Parameter
Name	Description
`var`	`array<Google\Cloud\AIPlatform\V1\ImportFeatureValuesRequest\FeatureSpec>`

Returns
Type	Description
`$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.

Returns
Type	Description
`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.

Parameter
Name	Description
`var`	`bool`

Returns
Type	Description
`$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.

Returns
Type	Description
`int`

setWorkerCount

If not set, defaults to using 1 worker. The low count ensures minimal impact on online serving performance.

Parameter
Name	Description
`var`	`int`

Returns
Type	Description
`$this`

getDisableIngestionAnalysis

If true, API doesn't start ingestion analysis pipeline.

Returns
Type	Description
`bool`

setDisableIngestionAnalysis

If true, API doesn't start ingestion analysis pipeline.

Parameter
Name	Description
`var`	`bool`

Returns
Type	Description
`$this`

getSource

Returns
Type	Description
`string`

getFeatureTimeSource

Returns
Type	Description
`string`

static::build

Parameter
Name	Description
`entityType`	`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}` Please see Google\Cloud\AIPlatform\V1\FeaturestoreServiceClient::entityTypeName() for help formatting this field.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ImportFeatureValuesRequest`