Menghapus skema untuk data terstruktur

Anda hanya dapat menghapus skema jika semua dokumen yang terkait dengan skema tersebut dihapus. Jika tidak, upaya akan gagal. Setelah menghapus skema, Anda dapat memanggil metode schemas.create untuk membuat skema baru.

Untuk menghapus skema data terstruktur, ikuti langkah-langkah berikut:

REST

1. Temukan ID penyimpanan data Anda. Jika Anda sudah memiliki ID penyimpanan data, lanjutkan ke langkah berikutnya.

   1. Di konsol Google Cloud, buka halaman Agent Builder dan di menu navigasi, klik Data Stores.

      Buka halaman Data Store

   2. Klik nama penyimpanan data Anda.

   3. Di halaman Data untuk penyimpanan data Anda, dapatkan ID penyimpanan data.

2. Hapus skema Anda.

   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"
   

   • PROJECT_ID: ID project Anda.
   • DATA_STORE_ID: ID penyimpanan data Anda.

C#

Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi API C# Vertex AI Agent Builder.

Untuk melakukan autentikasi ke Vertex AI Agent Builder, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, baca Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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

Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi API Go Vertex AI Agent Builder.

Untuk melakukan autentikasi ke Vertex AI Agent Builder, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, baca Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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

Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi API Java Vertex AI Agent Builder.

Untuk melakukan autentikasi ke Vertex AI Agent Builder, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, baca Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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

Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi API Python Vertex AI Agent Builder.

Untuk melakukan autentikasi ke Vertex AI Agent Builder, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, baca Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

# 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

Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi API Ruby Vertex AI Agent Builder.

Untuk melakukan autentikasi ke Vertex AI Agent Builder, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, baca Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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