Receber o tipo de aspecto

Recupera um tipo de aspecto atual.

Exemplo de código

JavaPython Mais

Antes de testar esta amostra, siga as instruções de configuração do Java no Guia de início rápido do catálogo universal do Dataplex: como usar bibliotecas de cliente. Para mais informações, consulte a documentação de referência da API Dataplex Universal Catalog Java.

Para autenticar no Dataplex Universal Catalog, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.

import com.google.cloud.dataplex.v1.AspectType;
import com.google.cloud.dataplex.v1.AspectTypeName;
import com.google.cloud.dataplex.v1.CatalogServiceClient;
import java.io.IOException;

public class GetAspectType {

  public static void main(String[] args) throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "MY_PROJECT_ID";
    // Available locations: https://cloud.google.com/dataplex/docs/locations
    String location = "MY_LOCATION";
    String aspectTypeId = "MY_ASPECT_TYPE_ID";

    AspectType aspectType = getAspectType(projectId, location, aspectTypeId);
    System.out.println("Aspect type retrieved successfully: " + aspectType.getName());
  }

  // Method to retrieve Aspect Type located in projectId, location and with aspectTypeId
  public static AspectType getAspectType(String projectId, String location, String aspectTypeId)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (CatalogServiceClient client = CatalogServiceClient.create()) {
      AspectTypeName aspectTypeName = AspectTypeName.of(projectId, location, aspectTypeId);
      return client.getAspectType(aspectTypeName);
    }
  }
}

Antes de testar esta amostra, siga as instruções de configuração do Python no Guia de início rápido do catálogo universal do Dataplex: como usar bibliotecas de cliente. Para mais informações, consulte a documentação de referência da API Dataplex Universal Catalog Python.

Para autenticar no Dataplex Universal Catalog, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.

from google.cloud import dataplex_v1


def get_aspect_type(
    project_id: str, location: str, aspect_type_id: str
) -> dataplex_v1.AspectType:
    """Method to retrieve Aspect Type located in project_id, location and with aspect_type_id"""

    # Initialize client that will be used to send requests across threads. This
    # client only needs to be created once, and can be reused for multiple requests.
    # After completing all of your requests, call the "__exit__()" method to safely
    # clean up any remaining background resources. Alternatively, use the client as
    # a context manager.
    with dataplex_v1.CatalogServiceClient() as client:
        # The resource name of the Aspect Type
        name = (
            f"projects/{project_id}/locations/{location}/aspectTypes/{aspect_type_id}"
        )
        return client.get_aspect_type(name=name)


if __name__ == "__main__":
    # TODO(developer): Replace these variables before running the sample.
    project_id = "MY_PROJECT_ID"
    # Available locations: https://cloud.google.com/dataplex/docs/locations
    location = "MY_LOCATION"
    aspect_type_id = "MY_ASPECT_TYPE_ID"

    aspect_type = get_aspect_type(project_id, location, aspect_type_id)
    print(f"Aspect type retrieved successfully: {aspect_type.name}")

A seguir

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