Criar grupo de entradas

Criar um grupo de entrada.

Exemplo de código

Java

Antes de testar este exemplo, siga as instruções de configuração do Java no Guia de início rápido do Dataplex: como usar bibliotecas de cliente. Para mais informações, consulte a documentação de referência da API Java do Dataplex.

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

import com.google.cloud.dataplex.v1.CatalogServiceClient;
import com.google.cloud.dataplex.v1.EntryGroup;
import com.google.cloud.dataplex.v1.LocationName;

public class CreateEntryGroup {

  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";

    EntryGroup createdEntryGroup = createEntryGroup(projectId, location, entryGroupId);
    System.out.println("Successfully created entry group: " + createdEntryGroup.getName());
  }

  // Method to create Entry Group located in projectId, location and with entryGroupId
  public static EntryGroup createEntryGroup(String projectId, String location, String entryGroupId)
      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()) {
      LocationName locationName = LocationName.of(projectId, location);
      EntryGroup entryGroup =
          EntryGroup.newBuilder().setDescription("description of the entry group").build();
      return client.createEntryGroupAsync(locationName, entryGroup, entryGroupId).get();
    }
  }
}

Python

Antes de testar este exemplo, siga as instruções de configuração do Python no Guia de início rápido do Dataplex: como usar bibliotecas de cliente. Para mais informações, consulte a documentação de referência da API Python do Dataplex.

Para autenticar no Dataplex, 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 create_entry_group(
    project_id: str, location: str, entry_group_id: str
) -> dataplex_v1.EntryGroup:
    """Method to create Entry Group located in project_id, location and with entry_group_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 Group location
        parent = f"projects/{project_id}/locations/{location}"
        entry_group = dataplex_v1.EntryGroup(
            description="description of the entry group"
        )
        create_operation = client.create_entry_group(
            parent=parent, entry_group=entry_group, entry_group_id=entry_group_id
        )
        return create_operation.result(60)


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"

    created_entry_group = create_entry_group(project_id, location, entry_group_id)
    print(f"Successfully created entry group: {created_entry_group.name}")

A seguir

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