Buat koneksi

Membuat resource koneksi baru. Koneksi digunakan oleh BigQuery untuk menjalankan kueri gabungan terhadap sumber data eksternal.

Mempelajari lebih lanjut

Untuk dokumentasi mendetail yang menyertakan contoh kode ini, lihat artikel berikut:

Contoh kode

Java

Sebelum mencoba contoh ini, ikuti petunjuk penyiapan Java di Panduan memulai BigQuery menggunakan library klien. Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi BigQuery Java API.

Untuk melakukan autentikasi ke BigQuery, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk library klien. 

import com.google.api.gax.rpc.AlreadyExistsException;
import com.google.api.gax.rpc.ApiException;
import com.google.cloud.bigquery.connection.v1.CloudResourceProperties;
import com.google.cloud.bigquery.connection.v1.Connection;
import com.google.cloud.bigquery.connection.v1.CreateConnectionRequest;
import com.google.cloud.bigquery.connection.v1.LocationName;
import com.google.cloud.bigqueryconnection.v1.ConnectionServiceClient;
import java.io.IOException;

public class CreateConnection {

  /**
   * Creates a BigQuery connection to a Cloud Resource. A Cloud Resource connection provisions a
   * service account that can be granted access to other Google Cloud resources for federated
   * queries.
   *
   * @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 create (for example, "example-connection-id").
   */
  public static void createConnection(String projectId, String location, String connectionId) {
    LocationName parent = LocationName.of(projectId, location);

    // CloudResourceProperties provisions a managed Google Cloud service account on creation.
    CloudResourceProperties cloudResourceProperties = CloudResourceProperties.newBuilder().build();
    Connection connection =
        Connection.newBuilder()
            .setFriendlyName("Example Connection")
            .setDescription("Cloud Resource connection for federated queries.")
            .setCloudResource(cloudResourceProperties)
            .build();

    CreateConnectionRequest request =
        CreateConnectionRequest.newBuilder()
            .setParent(parent.toString())
            .setConnectionId(connectionId)
            .setConnection(connection)
            .build();

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

      System.out.printf("Successfully created connection: %s%n", response.getName());
      System.out.printf("Friendly name: %s%n", response.getFriendlyName());
      System.out.printf(
          "Service Account: %s%n", response.getCloudResource().getServiceAccountId());
    } catch (AlreadyExistsException err) {
      System.err.printf(
          "error: connection '%s' already exists in location '%s' for project '%s': %s%n",
          connectionId, location, projectId, err.getMessage());
    } catch (ApiException | IOException err) {
      System.err.printf(
          "error: failed to create connection '%s' in location '%s' for project '%s': %s%n",
          connectionId, location, projectId, err.getMessage());
    }
  }

Node.js

Sebelum mencoba contoh ini, ikuti petunjuk penyiapan Node.js di Panduan memulai BigQuery menggunakan library klien. Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi BigQuery Node.js API.

Untuk melakukan autentikasi ke BigQuery, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk library klien. 

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

const client = new ConnectionServiceClient();

/**
 * Creates a new BigQuery connection to a Cloud Resource.
 *
 * A Cloud Resource connection creates a service account that can be granted access
 * to other Google Cloud resources.
 *
 * @param {string} projectId The Google Cloud project ID. for example, 'example-project-id'
 * @param {string} location The location of the project to create the connection in. for example, 'us-central1'
 * @param {string} connectionId The ID of the connection to create. for example, 'example-connection-id'
 */
async function createConnection(projectId, location, connectionId) {
  const parent = client.locationPath(projectId, location);

  const connection = {
    friendlyName: 'Example Connection',
    description: 'A sample connection for a Cloud Resource',
    // The service account for this cloudResource will be created by the API.
    // Its ID will be available in the response.
    cloudResource: {},
  };

  const request = {
    parent,
    connectionId,
    connection,
  };

  try {
    const [response] = await client.createConnection(request);

    console.log(`Successfully created connection: ${response.name}`);
    console.log(`Friendly name: ${response.friendlyName}`);

    console.log(`Service Account: ${response.cloudResource.serviceAccountId}`);
  } catch (err) {
    if (err.code === status.ALREADY_EXISTS) {
      console.log(`Connection '${connectionId}' already exists.`);
    } else {
      console.error(`Error creating connection: ${err.message}`);
    }
  }
}

Python

Sebelum mencoba contoh ini, ikuti petunjuk penyiapan Python di Panduan memulai BigQuery menggunakan library klien. Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi BigQuery Python API.

Untuk melakukan autentikasi ke BigQuery, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk library klien. 

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

client = bigquery_connection_v1.ConnectionServiceClient()


def create_connection(
    project_id: str,
    location: str,
    connection_id: str,
):
    """Creates a BigQuery connection to a Cloud Resource.

    Cloud Resource connection creates a service account which can then be
    granted access to other Google Cloud resources for federated queries.

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

    parent = client.common_location_path(project_id, location)

    connection = bigquery_connection_v1.Connection(
        friendly_name="Example Connection",
        description="A sample connection for a Cloud Resource.",
        cloud_resource=bigquery_connection_v1.CloudResourceProperties(),
    )

    try:
        created_connection = client.create_connection(
            parent=parent, connection_id=connection_id, connection=connection
        )
        print(f"Successfully created connection: {created_connection.name}")
        print(f"Friendly name: {created_connection.friendly_name}")
        print(
            f"Service Account: {created_connection.cloud_resource.service_account_id}"
        )

    except google.api_core.exceptions.AlreadyExists:
        print(f"Connection with ID '{connection_id}' already exists.")
        print("Please use a different connection ID.")
    except Exception as e:
        print(f"An unexpected error occurred while creating the connection: {e}")

Langkah berikutnya

Untuk menelusuri dan memfilter contoh kode untuk produk Google Cloud lainnya, lihat browser contohGoogle Cloud .