このページは Cloud Translation API によって翻訳されました。

構造化データのスキーマを削除する

スキーマに関連付けられているすべてのドキュメントが削除されている場合にのみ、スキーマを削除できます。それ以外の場合、試行は失敗します。スキーマを削除した後、schemas.create メソッドを呼び出して新しいスキーマを作成できます。

構造化データのスキーマを削除する手順は次のとおりです。

REST

データストア ID を確認します。データストア ID がすでにある場合は、次のステップに進みます。
1. Google Cloud コンソールで、[AI アプリケーション] ページに移動し、ナビゲーションメニューで [データストア] をクリックします。
  
  [データストア] ページに移動
2. データストアの名前をクリックします。
3. データストアの [データ] ページで、データストア ID を取得します。

スキーマを削除します。

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"

次のように置き換えます。

PROJECT_ID: 実際のプロジェクトの ID。
DATA_STORE_ID: データストアの ID。

C#

詳細については、Vertex AI Search C# API のリファレンスドキュメントをご覧ください。

Vertex AI Search に対する認証を行うには、アプリケーションのデフォルト認証情報を設定します。詳細については、ローカル開発環境の認証の設定をご覧ください。

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

詳細については、Vertex AI Search Go API のリファレンスドキュメントをご覧ください。


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

詳細については、Vertex AI Search Java API のリファレンスドキュメントをご覧ください。

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

詳細については、Vertex AI Search Python API のリファレンスドキュメントをご覧ください。

# 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

詳細については、Vertex AI Search Ruby API のリファレンスドキュメントをご覧ください。

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

構造化データのスキーマを削除する コレクションでコンテンツを整理 必要に応じて、コンテンツの保存と分類を行います。

REST

C#

Go

Java

Python

Ruby

構造化データのスキーマを削除する