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ImportFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Request message for FeaturestoreService.ImportFeatureValues.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes
Name | Description |
avro_source |
google.cloud.aiplatform_v1beta1.types.AvroSource
This field is a member of oneof _ source .
|
bigquery_source |
google.cloud.aiplatform_v1beta1.types.BigQuerySource
This field is a member of oneof _ source .
|
csv_source |
google.cloud.aiplatform_v1beta1.types.CsvSource
This field is a member of oneof _ source .
|
feature_time_field |
str
Source column that holds the Feature timestamp for all Feature values in each entity. This field is a member of oneof _ feature_time_source .
|
feature_time |
google.protobuf.timestamp_pb2.Timestamp
Single Feature timestamp for all entities being imported. The timestamp must not have higher than millisecond precision. This field is a member of oneof _ feature_time_source .
|
entity_type |
str
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 |
str
Source column that holds entity IDs. If not provided, entity IDs are extracted from the column named entity_id .
|
feature_specs |
Sequence[google.cloud.aiplatform_v1beta1.types.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. |
Inheritance
builtins.object > proto.message.Message > ImportFeatureValuesRequestClasses
FeatureSpec
FeatureSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Defines the Feature value(s) to import.