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.
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: |
↳ entity_id_field |
string
Source column that holds entity IDs. If not provided, entity IDs are extracted from the column named |
↳ 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
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}
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
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.
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 |