-
BigQueryConfig.Builder.clear()
If true, App Platform will create the BigQuery DataSet and the
BigQuery Table with default schema if the specified table doesn't exist.
BigQuery table resource for Vision AI Platform to ingest annotations to.
Configs of BigQuery processor.
BigQueryConfig.Builder.mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
BigQueryConfig.Builder.mergeFrom(com.google.protobuf.Message other)
BigQueryConfig.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
Data Schema
By default, Vision AI Application will try to write annotations to the
target BigQuery table using the following schema:
ingestion_time: TIMESTAMP, the ingestion time of the original data.
Data Schema
By default, Vision AI Application will try to write annotations to the
target BigQuery table using the following schema:
ingestion_time: TIMESTAMP, the ingestion time of the original data.
Data Schema
By default, Vision AI Application will try to write annotations to the
target BigQuery table using the following schema:
ingestion_time: TIMESTAMP, the ingestion time of the original data.
If true, App Platform will create the BigQuery DataSet and the
BigQuery Table with default schema if the specified table doesn't exist.
BigQuery table resource for Vision AI Platform to ingest annotations to.
BigQueryConfig.Builder.setTableBytes(com.google.protobuf.ByteString value)
BigQuery table resource for Vision AI Platform to ingest annotations to.
Configs of BigQuery processor.