更新 BigQuery 連線

更新現有 BigQuery 連線的自訂名稱或說明。這個方法會使用欄位遮罩,指定要變更的欄位。

深入探索

如需包含這個程式碼範例的詳細說明文件,請參閱下列文章:

程式碼範例

Java

在試用這個範例之前,請先按照「使用用戶端程式庫的 BigQuery 快速入門導覽課程」中的 Java 設定操作說明進行操作。詳情請參閱 BigQuery Java API 參考文件。

如要向 BigQuery 進行驗證,請設定應用程式預設憑證。詳情請參閱「設定用戶端程式庫的驗證機制」。

import com.google.api.gax.rpc.ApiException;
import com.google.api.gax.rpc.NotFoundException;
import com.google.cloud.bigquery.connection.v1.Connection;
import com.google.cloud.bigquery.connection.v1.ConnectionName;
import com.google.cloud.bigquery.connection.v1.UpdateConnectionRequest;
import com.google.cloud.bigqueryconnection.v1.ConnectionServiceClient;
import com.google.protobuf.FieldMask;
import java.io.IOException;

public class UpdateConnection {

  /**
   * Updates a BigQuery connection's friendly name and description.
   *
   * @param projectId The Google Cloud project ID (for example, "example-project-id").
   * @param location The geographic location of the connection (for example, "us-central1").
   * @param connectionId The ID of the connection to update (for example, "example-connection-id").
   */
  public static void updateConnection(String projectId, String location, String connectionId) {
    ConnectionName name = ConnectionName.of(projectId, location, connectionId);

    Connection connection =
        Connection.newBuilder()
            .setFriendlyName("Example Updated BigQuery Connection")
            .setDescription("Updated description for the connection.")
            .build();

    // Specify only metadata fields in the FieldMask so existing credentials are not reset.
    FieldMask updateMask =
        FieldMask.newBuilder().addPaths("friendly_name").addPaths("description").build();

    UpdateConnectionRequest request =
        UpdateConnectionRequest.newBuilder()
            .setName(name.toString())
            .setConnection(connection)
            .setUpdateMask(updateMask)
            .build();

    try (ConnectionServiceClient client = ConnectionServiceClient.create()) {
      Connection response = client.updateConnection(request);

      System.out.printf("Connection '%s' updated successfully.%n", response.getName());
      System.out.printf("Friendly Name: %s%n", response.getFriendlyName());
      System.out.printf("Description: %s%n", response.getDescription());
    } catch (NotFoundException err) {
      System.err.printf(
          "error: connection '%s' not found in location '%s' for project '%s': %s%n",
          connectionId, location, projectId, err.getMessage());
    } catch (ApiException | IOException err) {
      System.err.printf(
          "error: failed to update connection '%s' in location '%s' for project '%s': %s%n",
          connectionId, location, projectId, err.getMessage());
    }
  }

Node.js

在試用這個範例之前,請先按照「使用用戶端程式庫的 BigQuery 快速入門導覽課程」中的 Node.js 設定操作說明進行操作。詳情請參閱 BigQuery Node.js API 參考文件。

如要向 BigQuery 進行驗證,請設定應用程式預設憑證。詳情請參閱「設定用戶端程式庫的驗證機制」。

const {ConnectionServiceClient} =
  require('@google-cloud/bigquery-connection').v1;
const {status} = require('@grpc/grpc-js');

const connectionClient = new ConnectionServiceClient();

/**
 * Updates a BigQuery connection, demonstrating how to update the friendly name and description.
 *
 * @param {string} projectId The Google Cloud project ID. for example, 'example-project-id'
 * @param {string} location The location of the connection. for example, 'us-central1'
 * @param {string} connectionId The ID of the connection to update. for example, 'example-connection-id'
 */
async function updateConnection(projectId, location, connectionId) {
  const name = connectionClient.connectionPath(
    projectId,
    location,
    connectionId,
  );

  const connection = {
    friendlyName: 'Example Updated Connection',
    description: 'A new description for the connection',
  };

  const updateMask = {
    paths: ['friendly_name', 'description'],
  };

  const request = {
    name,
    connection,
    updateMask,
  };

  try {
    const [response] = await connectionClient.updateConnection(request);

    console.log(`Connection updated: ${response.name}`);
    console.log(`  Friendly name: ${response.friendlyName}`);
    console.log(`  Description: ${response.description}`);
  } catch (err) {
    if (err.code === status.NOT_FOUND) {
      console.log(`Connection not found: ${name}`);
    } else {
      console.error(`Error updating connection ${name}:`, err);
    }
  }
}

Python

在試用這個範例之前,請先按照「使用用戶端程式庫的 BigQuery 快速入門導覽課程」中的 Python 設定操作說明進行操作。詳情請參閱 BigQuery Python API 參考文件。

如要向 BigQuery 進行驗證,請設定應用程式預設憑證。詳情請參閱「設定用戶端程式庫的驗證機制」。

import google.api_core.exceptions
from google.cloud import bigquery_connection_v1
from google.protobuf import field_mask_pb2

client = bigquery_connection_v1.ConnectionServiceClient()


def update_connection(project_id: str, location: str, connection_id: str):
    """Updates a BigQuery connection's friendly name and description.

    For security reasons, updating connection properties also resets the
    credential. The `update_mask` specifies which fields of the connection
    to update. This sample only updates metadata fields to avoid resetting
    credentials.

    Args:
        project_id: The Google Cloud project ID.
        location: The geographic location of the connection (for example, "us-central1").
        connection_id: The ID of the connection to update.
    """

    connection_name = client.connection_path(project_id, location, connection_id)

    connection = bigquery_connection_v1.Connection(
        friendly_name="Example Updated BigQuery Connection",
        description="This is an updated description for the connection.",
    )

    update_mask = field_mask_pb2.FieldMask(paths=["friendly_name", "description"])

    try:
        response = client.update_connection(
            name=connection_name,
            connection=connection,
            update_mask=update_mask,
        )

        print(f"Connection '{response.name}' updated successfully.")
        print(f"Friendly Name: {response.friendly_name}")
        print(f"Description: {response.description}")

    except google.api_core.exceptions.NotFound:
        print(f"Connection '{connection_name}' not found. Please create it first.")

後續步驟

如要搜尋及篩選其他 Google Cloud 產品的程式碼範例,請參閱Google Cloud 範例瀏覽工具。