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Cómo borrar un esquema de datos estructurados

Solo puedes borrar un esquema si se borran todos los documentos asociados a él. De lo contrario, el intento fallará. Después de borrar un esquema, puedes llamar al método schemas.create para crear uno nuevo.

Para borrar un esquema de datos estructurados, sigue estos pasos:

REST

Busca el ID de tu almacén de datos. Si ya tienes el ID de tu almacén de datos, ve al siguiente paso.
1. En la consola de Google Cloud , ve a la página Aplicaciones basadas en IA y, en el menú de navegación, haz clic en Almacenes de datos.
  
  Ir a la página Almacenes de datos.
2. Haz clic en el nombre de tu almacén de datos.
3. En la página Datos de tu almacén de datos, obtén el ID del almacén de datos.

Borra tu esquema.

curl -X DELETE \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
"https://discoveryengine.googleapis.com/v1beta/projects/PROJECT_ID/locations/global/collections/default_collection/dataStores/DATA_STORE_ID/schemas/default_schema"

Reemplaza lo siguiente:

PROJECT_ID: el ID de tu proyecto
DATA_STORE_ID: el ID de tu almacén de datos

C#

Para obtener más información, consulta la documentación de referencia de la API de Vertex AI Search C#.

Para autenticarte en Vertex AI Search, configura las credenciales predeterminadas de la aplicación. Para obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.

using Google.Cloud.DiscoveryEngine.V1;
using Google.LongRunning;
using Google.Protobuf.WellKnownTypes;

public sealed partial class GeneratedSchemaServiceClientSnippets
{
    /// <summary>Snippet for DeleteSchema</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void DeleteSchemaRequestObject()
    {
        // Create client
        SchemaServiceClient schemaServiceClient = SchemaServiceClient.Create();
        // Initialize request argument(s)
        DeleteSchemaRequest request = new DeleteSchemaRequest
        {
            SchemaName = SchemaName.FromProjectLocationDataStoreSchema("[PROJECT]", "[LOCATION]", "[DATA_STORE]", "[SCHEMA]"),
        };
        // Make the request
        Operation<Empty, DeleteSchemaMetadata> response = schemaServiceClient.DeleteSchema(request);

        // Poll until the returned long-running operation is complete
        Operation<Empty, DeleteSchemaMetadata> completedResponse = response.PollUntilCompleted();
        // Retrieve the operation result
        Empty result = completedResponse.Result;

        // Or get the name of the operation
        string operationName = response.Name;
        // This name can be stored, then the long-running operation retrieved later by name
        Operation<Empty, DeleteSchemaMetadata> retrievedResponse = schemaServiceClient.PollOnceDeleteSchema(operationName);
        // Check if the retrieved long-running operation has completed
        if (retrievedResponse.IsCompleted)
        {
            // If it has completed, then access the result
            Empty retrievedResult = retrievedResponse.Result;
        }
    }
}

Go

Para obtener más información, consulta la documentación de referencia de la API de Vertex AI Search Go.


package main

import (
	"context"

	discoveryengine "cloud.google.com/go/discoveryengine/apiv1"
	discoveryenginepb "cloud.google.com/go/discoveryengine/apiv1/discoveryenginepb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := discoveryengine.NewSchemaClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &discoveryenginepb.DeleteSchemaRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/discoveryengine/apiv1/discoveryenginepb#DeleteSchemaRequest.
	}
	op, err := c.DeleteSchema(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

Java

Para obtener más información, consulta la documentación de referencia de la API de Vertex AI Search Java.

import com.google.cloud.discoveryengine.v1.DeleteSchemaRequest;
import com.google.cloud.discoveryengine.v1.SchemaName;
import com.google.cloud.discoveryengine.v1.SchemaServiceClient;
import com.google.protobuf.Empty;

public class SyncDeleteSchema {

  public static void main(String[] args) throws Exception {
    syncDeleteSchema();
  }

  public static void syncDeleteSchema() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (SchemaServiceClient schemaServiceClient = SchemaServiceClient.create()) {
      DeleteSchemaRequest request =
          DeleteSchemaRequest.newBuilder()
              .setName(
                  SchemaName.ofProjectLocationDataStoreSchemaName(
                          "[PROJECT]", "[LOCATION]", "[DATA_STORE]", "[SCHEMA]")
                      .toString())
              .build();
      schemaServiceClient.deleteSchemaAsync(request).get();
    }
  }
}

Python

Para obtener más información, consulta la documentación de referencia de la API de Vertex AI Search Python.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import discoveryengine_v1


def sample_delete_schema():
    # Create a client
    client = discoveryengine_v1.SchemaServiceClient()

    # Initialize request argument(s)
    request = discoveryengine_v1.DeleteSchemaRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_schema(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Ruby

Para obtener más información, consulta la documentación de referencia de la API de Vertex AI Search Ruby.

require "google/cloud/discovery_engine/v1"

##
# Snippet for the delete_schema call in the SchemaService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DiscoveryEngine::V1::SchemaService::Client#delete_schema.
#
def delete_schema
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DiscoveryEngine::V1::SchemaService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DiscoveryEngine::V1::DeleteSchemaRequest.new

  # Call the delete_schema method.
  result = client.delete_schema request

  # The returned object is of type Gapic::Operation. You can use it to
  # check the status of an operation, cancel it, or wait for results.
  # Here is how to wait for a response.
  result.wait_until_done! timeout: 60
  if result.response?
    p result.response
  else
    puts "No response received."
  end
end

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REST

C#

Go

Java

Python

Ruby

Cómo borrar un esquema de datos estructurados