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Eliminare uno schema per i dati strutturati

Puoi eliminare uno schema solo se tutti i documenti associati sono stati eliminati. In caso contrario, il tentativo non andrà a buon fine. Dopo aver eliminato uno schema, puoi chiamare il metodo schemas.create per crearne uno nuovo.

Per eliminare uno schema per i dati strutturati:

REST

Trova l'ID datastore. Se hai già l'ID del tuodatastorei, vai al passaggio successivo.
1. Nella console Google Cloud , vai alla pagina AI Applications e nel menu di navigazione, fai clic su Data Stores.
  
  Vai alla pagina Datastore
2. Fai clic sul nome del tuo datastore.
3. Nella pagina Dati del datastore, recupera l'ID datastore.

Elimina lo schema.

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"

Sostituisci quanto segue:

PROJECT_ID: l'ID progetto.
DATA_STORE_ID: l'ID del datastore.

C#

Per saperne di più, consulta la documentazione di riferimento dell'API Vertex AI Search C#.

Per eseguire l'autenticazione in Vertex AI Search, configura le Credenziali predefinite dell'applicazione. Per ulteriori informazioni, consulta Configura l'autenticazione per un ambiente di sviluppo locale.

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

Per saperne di più, consulta la documentazione di riferimento dell'API 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

Per saperne di più, consulta la documentazione di riferimento dell'API 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

Per saperne di più, consulta la documentazione di riferimento dell'API 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

Per saperne di più, consulta la documentazione di riferimento dell'API 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

Eliminare uno schema per i dati strutturati Mantieni tutto organizzato con le raccolte Salva e classifica i contenuti in base alle tue preferenze.

REST

C#

Go

Java

Python

Ruby

Eliminare uno schema per i dati strutturati