BigQuery Data Transfer のクライアントライブラリ

このページでは、BigQuery Data Transfer API の Cloud クライアントライブラリの使用方法を示します。以前の Google API クライアントライブラリを含む、Cloud APIs のクライアントライブラリの詳細については、クライアントライブラリの説明をご覧ください。

クライアントライブラリのインストール

C#

詳細については、C# 開発環境の設定をご覧ください。

Install-Package Google.Cloud.BigQuery.DataTransfer.V1 -Pre

Go

詳細については、Go 開発環境の設定をご覧ください。

go get cloud.google.com/go/bigquery/datatransfer/apiv1

Java

詳細については、Java 開発環境の設定をご覧ください。

If you are using Maven, add the following to your pom.xml file. For more information about BOMs, see The Google Cloud Platform Libraries BOM.

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>26.50.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

<dependencies>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-bigquerydatatransfer</artifactId>
  </dependency>
</dependencies>

If you are using Gradle, add the following to your dependencies:

implementation 'com.google.cloud:google-cloud-bigquerydatatransfer:2.53.0'

If you are using sbt, add the following to your dependencies:

libraryDependencies += "com.google.cloud" % "google-cloud-bigquerydatatransfer" % "2.53.0"

If you're using Visual Studio Code, IntelliJ, or Eclipse, you can add client libraries to your project using the following IDE plugins:

The plugins provide additional functionality, such as key management for service accounts. Refer to each plugin's documentation for details.

Node.js

詳細については、Node.js 開発環境の設定をご覧ください。

npm install --save @google-cloud/bigquery-data-transfer

PHP

詳細については、Google Cloud での PHP の使用をご覧ください。

composer require google/cloud-bigquerydatatransfer

Python

詳細については、Python 開発環境の設定をご覧ください。

pip install --upgrade google-cloud-bigquery-datatransfer

Ruby

詳細については、Ruby 開発環境の設定をご覧ください。

gem install google-cloud-bigquery-data_transfer

認証の設定

クライアントライブラリを実行するには、サービスアカウントを作成して環境変数を設定し、認証を設定する必要があります。以下の手順で認証を設定します。その他の認証方法については、GCP 認証のドキュメントをご覧ください。

Provide authentication credentials to your application code by setting the environment variable GOOGLE_APPLICATION_CREDENTIALS. This variable applies only to your current shell session. If you want the variable to apply to future shell sessions, set the variable in your shell startup file, for example in the ~/.bashrc or ~/.profile file.

Linux または macOS

export GOOGLE_APPLICATION_CREDENTIALS="KEY_PATH"

Replace KEY_PATH with the path of the JSON file that contains your credentials.

For example:

export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/service-account-file.json"

Windows

For PowerShell:

$env:GOOGLE_APPLICATION_CREDENTIALS="KEY_PATH"

Replace KEY_PATH with the path of the JSON file that contains your credentials.

For example:

$env:GOOGLE_APPLICATION_CREDENTIALS="C:\Users\username\Downloads\service-account-file.json"

For command prompt:

set GOOGLE_APPLICATION_CREDENTIALS=KEY_PATH

Replace KEY_PATH with the path of the JSON file that contains your credentials.

クライアントライブラリの使用

次の例は、クライアントライブラリの使用方法を示しています。

C#

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using System;
using Google.Api.Gax;
using Google.Cloud.BigQuery.DataTransfer.V1;

namespace GoogleCloudSamples
{
    public class QuickStart
    {
        public static void Main(string[] args)
        {
            // Instantiates a client
            DataTransferServiceClient client = DataTransferServiceClient.Create();

            // Your Google Cloud Platform project ID
            string projectId = "YOUR-PROJECT-ID";

            ProjectName project = new ProjectName(projectId);
            var sources = client.ListDataSources(ParentNameOneof.From(project));
            Console.WriteLine("Supported Data Sources:");
            foreach (DataSource source in sources)
            {
                Console.WriteLine(
                    $"{source.DataSourceId}: " +
                    $"{source.DisplayName} ({source.Description})");
            }
        }
    }
}

Go

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// Sample bigquery-quickstart creates a Google BigQuery dataset.
package main

import (
	"fmt"
	"log"

	"golang.org/x/net/context"
	"google.golang.org/api/iterator"

	// Imports the BigQuery Data Transfer client package.
	datatransfer "cloud.google.com/go/bigquery/datatransfer/apiv1"
	datatransferpb "google.golang.org/genproto/googleapis/cloud/bigquery/datatransfer/v1"
)

func main() {
	ctx := context.Background()

	// Sets your Google Cloud Platform project ID.
	projectID := "YOUR_PROJECT_ID"

	// Creates a client.
	client, err := datatransfer.NewClient(ctx)
	if err != nil {
		log.Fatalf("Failed to create client: %v", err)
	}

	req := &datatransferpb.ListDataSourcesRequest{
		Parent: fmt.Sprintf("projects/%s", projectID),
	}
	it := client.ListDataSources(ctx, req)
	fmt.Println("Supported Data Sources:")
	for {
		ds, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			log.Fatalf("Failed to list sources: %v", err)
		}
		fmt.Println(ds.DisplayName)
		fmt.Println("\tID: ", ds.DataSourceId)
		fmt.Println("\tFull path: ", ds.Name)
		fmt.Println("\tDescription: ", ds.Description)
	}
}

Java

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// Imports the Google Cloud client library

import com.google.cloud.bigquery.datatransfer.v1.DataSource;
import com.google.cloud.bigquery.datatransfer.v1.DataTransferServiceClient;
import com.google.cloud.bigquery.datatransfer.v1.DataTransferServiceClient.ListDataSourcesPagedResponse;
import com.google.cloud.bigquery.datatransfer.v1.ListDataSourcesRequest;

public class QuickstartSample {
  /**
   * List available data sources for the BigQuery Data Transfer service.
   */
  public static void main(String... args) throws Exception {
    // Sets your Google Cloud Platform project ID.
    // String projectId = "YOUR_PROJECT_ID";
    String projectId = args[0];

    // Instantiate a client. If you don't specify credentials when constructing a client, the
    // client library will look for credentials in the environment, such as the
    // GOOGLE_APPLICATION_CREDENTIALS environment variable.
    try (DataTransferServiceClient client = DataTransferServiceClient.create()) {
      // Request the list of available data sources.
      String parent = String.format("projects/%s", projectId);
      ListDataSourcesRequest request =
          ListDataSourcesRequest.newBuilder()
              .setParent(parent)
              .build();
      ListDataSourcesPagedResponse response = client.listDataSources(request);

      // Print the results.
      System.out.println("Supported Data Sources:");
      for (DataSource dataSource : response.iterateAll()) {
        System.out.println(dataSource.getDisplayName());
        System.out.printf("\tID: %s%n", dataSource.getDataSourceId());
        System.out.printf("\tFull path: %s%n", dataSource.getName());
        System.out.printf("\tDescription: %s%n", dataSource.getDescription());
      }
    }
  }
}

Node.js

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const bigqueryDataTransfer = require('@google-cloud/bigquery-data-transfer');
const client = new bigqueryDataTransfer.v1.DataTransferServiceClient();

async function quickstart() {
  const projectId = await client.getProjectId();

  // Iterate over all elements.
  const formattedParent = client.projectPath(projectId, 'us-central1');
  let nextRequest = {parent: formattedParent};
  const options = {autoPaginate: false};
  console.log('Data sources:');
  do {
    // Fetch the next page.
    const responses = await client.listDataSources(nextRequest, options);
    // The actual resources in a response.
    const resources = responses[0];
    // The next request if the response shows that there are more responses.
    nextRequest = responses[1];
    // The actual response object, if necessary.
    // const rawResponse = responses[2];
    resources.forEach(resource => {
      console.log(`  ${resource.name}`);
    });
  } while (nextRequest);

  console.log('\n\n');
  console.log('Sources via stream:');

  client
    .listDataSourcesStream({parent: formattedParent})
    .on('data', element => {
      console.log(`  ${element.name}`);
    });
}
quickstart();

PHP

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# Includes the autoloader for libraries installed with composer
require __DIR__ . '/vendor/autoload.php';

# Imports the Google Cloud client library
use Google\Cloud\BigQuery\DataTransfer\V1\DataTransferServiceClient;

# Instantiates a client
$bqdtsClient = new DataTransferServiceClient();

# Your Google Cloud Platform project ID
$projectId = 'YOUR_PROJECT_ID';
$parent = sprintf('projects/%s/locations/us', $projectId);

try {
    echo 'Supported Data Sources:', PHP_EOL;
    $pagedResponse = $bqdtsClient->listDataSources($parent);
    foreach ($pagedResponse->iterateAllElements() as $dataSource) {
        echo 'Data source: ', $dataSource->getDisplayName(), PHP_EOL;
        echo 'ID: ', $dataSource->getDataSourceId(), PHP_EOL;
        echo 'Full path: ', $dataSource->getName(), PHP_EOL;
        echo 'Description: ', $dataSource->getDescription(), PHP_EOL;
    }
} finally {
    $bqdtsClient->close();
}

Python

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from google.cloud import bigquery_datatransfer

client = bigquery_datatransfer.DataTransferServiceClient()

# TODO: Update to your project ID.
project_id = "my-project"

# Get the full path to your project.
parent = client.common_project_path(project_id)

print("Supported Data Sources:")

# Iterate over all possible data sources.
for data_source in client.list_data_sources(parent=parent):
    print("{}:".format(data_source.display_name))
    print("\tID: {}".format(data_source.data_source_id))
    print("\tFull path: {}".format(data_source.name))
    print("\tDescription: {}".format(data_source.description))

Ruby

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# Imports the Google Cloud client library
require "google/cloud/bigquery/data_transfer"

# Your Google Cloud Platform project ID
# project_id = "YOUR_PROJECT_ID"

# Instantiate a client
data_transfer = Google::Cloud::Bigquery::DataTransfer.data_transfer_service

# Get the full path to your project.
project_path = data_transfer.project_path project: project_id

puts "Supported Data Sources:"

# Iterate over all possible data sources.
data_transfer.list_data_sources(parent: project_path).each do |data_source|
  puts "Data source: #{data_source.display_name}"
  puts "ID: #{data_source.data_source_id}"
  puts "Full path: #{data_source.name}"
  puts "Description: #{data_source.description}"
end

BigQuery Data Transfer のクライアント ライブラリ

クライアント ライブラリのインストール

C#

Go

Java

Node.js

PHP

Python

Ruby

認証の設定

Linux または macOS

Windows

クライアント ライブラリの使用

C#

Go

Java

Node.js

PHP

Python

Ruby

補足資料

C#

Go

Java

Node.js

PHP

Python

Ruby

BigQuery Data Transfer のクライアントライブラリ

クライアントライブラリのインストール

クライアントライブラリの使用