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Muestra de código

Java

Antes de probar este ejemplo, sigue las instrucciones de configuración para Java que se encuentran en la guía de inicio rápido de Dataplex sobre el uso de bibliotecas cliente. Para obtener más información, consulta la documentación de referencia de la API de Java de Dataplex.

Para autenticarte en Dataplex, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.

import com.google.cloud.dataplex.v1.Aspect;
import com.google.cloud.dataplex.v1.CatalogServiceClient;
import com.google.cloud.dataplex.v1.Entry;
import com.google.cloud.dataplex.v1.EntryName;
import com.google.cloud.dataplex.v1.EntrySource;
import com.google.protobuf.FieldMask;
import com.google.protobuf.Struct;
import com.google.protobuf.Value;
import java.util.Map;

public class UpdateEntry {

  public static void main(String[] args) throws Exception {
    // 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 entryGroupId = "MY_ENTRY_GROUP_ID";
    String entryId = "MY_ENTRY_ID";

    Entry createdEntry = updateEntry(projectId, location, entryGroupId, entryId);
    System.out.println("Successfully updated entry: " + createdEntry.getName());
  }

  // Method to update Entry located in projectId, location, entryGroupId and with entryId
  public static Entry updateEntry(
      String projectId, String location, String entryGroupId, String entryId) throws Exception {
    // 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()) {
      Entry entry =
          Entry.newBuilder()
              .setName(EntryName.of(projectId, location, entryGroupId, entryId).toString())
              .setEntrySource(
                  EntrySource.newBuilder()
                      .setDescription("updated description of the entry")
                      .build())
              .putAllAspects(
                  Map.of(
                      "dataplex-types.global.generic",
                      Aspect.newBuilder()
                          .setAspectType(
                              "projects/dataplex-types/locations/global/aspectTypes/generic")
                          .setData(
                              Struct.newBuilder()
                                  // "Generic" Aspect Type have fields called "type" and "system.
                                  // The values below are a sample of possible options.
                                  .putFields(
                                      "type",
                                      Value.newBuilder()
                                          .setStringValue("updated example value")
                                          .build())
                                  .putFields(
                                      "system",
                                      Value.newBuilder()
                                          .setStringValue("updated example system")
                                          .build())
                                  .build())
                          .build()))
              .build();

      // Update mask specifies which fields will be updated.
      // For more information on update masks, see: https://google.aip.dev/161
      FieldMask updateMask =
          FieldMask.newBuilder().addPaths("aspects").addPaths("entry_source.description").build();
      return client.updateEntry(entry, updateMask);
    }
  }
}

Python

Antes de probar este ejemplo, sigue las instrucciones de configuración para Python que se encuentran en la guía de inicio rápido de Dataplex sobre el uso de bibliotecas cliente. Para obtener más información, consulta la documentación de referencia de la API de Python de Dataplex.

Para autenticarte en Dataplex, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.

from google.cloud import dataplex_v1
from google.protobuf import struct_pb2


def update_entry(
    project_id: str, location: str, entry_group_id: str, entry_id: str
) -> dataplex_v1.Entry:
    """Method to update Entry located in project_id, location, entry_group_id and with entry_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 Entry
        name = f"projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id}"
        entry = dataplex_v1.Entry(
            name=name,
            entry_source=dataplex_v1.EntrySource(
                description="updated description of the entry"
            ),
            aspects={
                "dataplex-types.global.generic": dataplex_v1.Aspect(
                    aspect_type="projects/dataplex-types/locations/global/aspectTypes/generic",
                    data=struct_pb2.Struct(
                        fields={
                            # "Generic" Aspect Type have fields called "type" and "system.
                            # The values below are a sample of possible options.
                            "type": struct_pb2.Value(
                                string_value="updated example value"
                            ),
                            "system": struct_pb2.Value(
                                string_value="updated example system"
                            ),
                        }
                    ),
                )
            },
        )

        # Update mask specifies which fields will be updated.
        # For more information on update masks, see: https://google.aip.dev/161
        update_mask = {"paths": ["aspects", "entry_source.description"]}
        return client.update_entry(entry=entry, update_mask=update_mask)


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"
    entry_group_id = "MY_ENTRY_GROUP_ID"
    entry_id = "MY_ENTRY_ID"

    updated_entry = update_entry(project_id, location, entry_group_id, entry_id)
    print(f"Successfully updated entry: {updated_entry.name}")

¿Qué sigue?

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