Cloud Bigtable Client Libraries

This page shows how to get started with the Cloud Client Libraries for the Cloud Bigtable API. Read more about the client libraries for Cloud APIs in Client Libraries Explained.

Installing the client library

C++

See the GitHub README for details about this client library's requirements and install dependencies.

C#

For more information, see Setting Up a C# Development Environment.

Install-Package Google.Cloud.Bigtable.V2 -Pre
Install-Package Google.Cloud.Bigtable.Admin.V2 -Pre

Go

go get -u cloud.google.com/go/bigtable

Java

For more information, see Setting Up a Java Development Environment. Maven を使用している場合は、次のものを pom.xml ファイルに追加します。

<dependency>
  <groupId>com.google.cloud</groupId>
  <artifactId>google-cloud-bigtable</artifactId>
  <version>0.105.0</version>
</dependency>

Gradle を使用している場合は、次のものを依存関係に追加します。

compile 'com.google.cloud:google-cloud-bigtable:0.105.0'

SBT を使用している場合は、次のものを依存関係に追加します。

libraryDependencies += "com.google.cloud" % "google-cloud-bigtable" % "0.105.0"

HBase

The Cloud Bigtable HBase client for Java includes the following Maven artifacts that you can use in your project. All of the artifacts are based on HBase 1.x:

bigtable-hbase-1.x: Use this artifact for standalone applications where you control your dependencies.
bigtable-hbase-1.x-hadoop: Use this artifact for Hadoop environments.
bigtable-hbase-1.x-shaded: Use this artifact for environments other than Hadoop that require older versions of the HBase client for Java's dependencies, such as protobuf and Guava.

The Cloud Bigtable Maven artifacts include the netty-tcnative-boringssl-static library, which requires that you use Linux, macOS, or Windows on an x86 64-bit processor.

If your application runs in the App Engine standard environment, you must use a current version of the Java runtime. The Java 7 runtime is deprecated and does not support the HBase client for Java.

The following examples assume that you are using the bigtable-hbase-1.x artifact.

Maven を使用している場合は、次のものを pom.xml ファイルに追加します。

<dependency>
  <groupId>com.google.cloud.bigtable</groupId>
  <artifactId>bigtable-hbase-1.x</artifactId>
  <version>1.11.0</version>
</dependency>

Gradle を使用している場合は、次のものを依存関係に追加します。

compile 'com.google.cloud.bigtable:bigtable-hbase-1.x:1.11.0'

SBT を使用している場合は、次のものを依存関係に追加します。

libraryDependencies += "com.google.cloud.bigtable" % "bigtable-hbase-1.x" % "1.11.0"

Node.js

For more information, see Setting Up a Node.js Development Environment.

npm install --save @google-cloud/bigtable

PHP

Install and enable the gRPC extension for PHP, then run the following command:

composer require google/cloud-bigtable

Python

For more information, see Setting Up a Python Development Environment.

pip install --upgrade google-cloud-bigtable

Ruby

For more information, see Setting Up a Ruby Development Environment.

gem install google-cloud-bigtable

Setting up authentication

To run the client library, you must first set up authentication by creating a service account and setting an environment variable. Complete the following steps to set up authentication. For other ways to authenticate, see the GCP authentication documentation.

GCP Console

GCP Console で [サービスアカウントキーの作成] ページに移動します。
[サービスアカウントキーの作成] ページに移動
[サービスアカウント] リストから [新しいサービスアカウント] を選択します。
[サービスアカウント名] フィールドに名前を入力します。
[役割] リストで、[プロジェクト] > [オーナー] を選択します。

注: [役割] フィールドの設定により、リソースにアクセスするサービスアカウントが承認されます。このフィールドは、後から GCP Console で表示または変更できます。本番環境アプリケーションを開発している場合は、[プロジェクト] > [オーナー] よりも詳細な権限を指定します。詳しくはサービスアカウントへの役割の付与をご覧ください。
[作成] をクリックします。キーが含まれている JSON ファイルがパソコンにダウンロードされます。

コマンドライン

ローカルマシン上の Cloud SDK を使用するか、または Cloud Shell 内で以下のコマンドを実行できます。

サービスアカウントを作成します。[NAME] をサービスアカウントの名前に置き換えます。
```
gcloud iam service-accounts create [NAME]
```
サービスアカウントに権限を付与します。[PROJECT_ID] は実際のプロジェクト ID に置き換えます。
```
gcloud projects add-iam-policy-binding [PROJECT_ID] --member "serviceAccount:[NAME]@[PROJECT_ID].iam.gserviceaccount.com" --role "roles/owner"
```
注: [役割] フィールドの設定により、リソースにアクセスするサービスアカウントが承認されます。後で GCP Console を使用して、このフィールドを表示したり変更したりできます。本番環境アプリケーションを開発している場合は、[プロジェクト] > [オーナー] よりも詳細な権限を指定します。詳しくはサービスアカウントへの役割の付与をご覧ください。

キーファイルを生成します。[FILE_NAME] はキーファイルの名前に置き換えます。

gcloud iam service-accounts keys create [FILE_NAME].json --iam-account [NAME]@[PROJECT_ID].iam.gserviceaccount.com

環境変数 GOOGLE_APPLICATION_CREDENTIALS を設定して、アプリケーションコードに認証情報を指定します。[PATH] は、サービスアカウントキーが含まれる JSON ファイルのファイルパスに置き換え、[FILE_NAME] はファイル名に置き換えます。この変数は現在のシェルセッションにのみ適用されるため、新しいセッションを開く場合は、変数を再度設定してください。

Linux または macOS

export GOOGLE_APPLICATION_CREDENTIALS="[PATH]"

例:

export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/[FILE_NAME].json"

Windows

PowerShell を使用する場合:

$env:GOOGLE_APPLICATION_CREDENTIALS="[PATH]"

例:

$env:GOOGLE_APPLICATION_CREDENTIALS="C:\Users\username\Downloads\[FILE_NAME].json"

コマンドプロンプトを使用する場合:

set GOOGLE_APPLICATION_CREDENTIALS=[PATH]

Using the client library

The following example shows how to use the client library. The example connects to a Cloud Bigtable instance and reads a row from a table.

If you haven't stored any data in Cloud Bigtable yet, you can use the cbt command-line tool to create a table and add some data. See the quickstart using cbt for instructions.

C++

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#include "google/cloud/bigtable/table.h"

int main(int argc, char* argv[]) try {
  if (argc != 4) {
    std::string const cmd = argv[0];
    auto last_slash = std::string(cmd).find_last_of('/');
    std::cerr << "Usage: " << cmd.substr(last_slash + 1)
              << " <project_id> <instance_id> <table_id>\n";
    return 1;
  }

  std::string const project_id = argv[1];
  std::string const instance_id = argv[2];
  std::string const table_id = argv[3];

  // Create a namespace alias to make the code easier to read.
  namespace cbt = google::cloud::bigtable;

  cbt::Table table(cbt::CreateDefaultDataClient(project_id, instance_id,
                                                cbt::ClientOptions()),
                   table_id);

  std::string row_key = "r1";
  std::string column_family = "cf1";

  std::cout << "Getting a single row by row key:" << std::flush;
  google::cloud::StatusOr<std::pair<bool, cbt::Row>> result =
      table.ReadRow(row_key, cbt::Filter::FamilyRegex(column_family));
  if (!result) {
    throw std::runtime_error(result.status().message());
  }
  if (!result->first) {
    std::cout << "Cannot find row " << row_key << " in the table: " << table_id
              << "\n";
    return 0;
  }

  cbt::Cell const& cell = result->second.cells().front();
  std::cout << cell.family_name() << ":" << cell.column_qualifier() << "    @ "
            << cell.timestamp().count() << "us\n"
            << '"' << cell.value() << '"' << "\n";

  return 0;
} catch (std::exception const& ex) {
  std::cerr << "Standard C++ exception raised: " << ex.what() << "\n";
  return 1;
}

C#

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using System;
using Google.Cloud.Bigtable.Common.V2;
// Imports the Google Cloud client library
using Google.Cloud.Bigtable.V2;

namespace GoogleCloudSamples.Bigtable
{
    public class QuickStart
    {
        public static int Main(string[] args)
        {
            // Your Google Cloud Platform project ID
            const string projectId = "YOUR-PROJECT-ID";
            // The name of the Cloud Bigtable instance
            const string instanceId = "YOUR-INSTANCE-ID";
            // The name of the Cloud Bigtable table
            const string tableId = "my-table";

            try
            {
                // Creates a Bigtable client
                BigtableClient bigtableClient = BigtableClient.Create();

                // Read a row from my-table using a row key
                Row row = bigtableClient.ReadRow(
                    new TableName(projectId, instanceId, tableId), "r1", RowFilters.CellsPerRowLimit(1));
                // Print the row key and data (column value, labels, timestamp)
                Console.WriteLine($"{"Row key:",-30}{row.Key.ToStringUtf8()}\n" +
                                  $"{"  Column Family:",-30}{row.Families[0].Name}\n" +
                                  $"{"    Column Qualifyer:",-30}{row.Families[0].Columns[0].Qualifier.ToStringUtf8()}\n" +
                                  $"{"      Value:",-30}{row.Families[0].Columns[0].Cells[0].Value.ToStringUtf8()}\n" +
                                  $"{"      Labels:",-30}{row.Families[0].Columns[0].Cells[0].Labels}\n" +
                                  $"{"      Timestamp:",-30}{row.Families[0].Columns[0].Cells[0].TimestampMicros}\n");
            }
            catch (Exception ex)
            {
                // Handle error performing the read operation
                Console.WriteLine($"Error reading row r1: {ex.Message}");
            }
            return 0;
        }
    }
}

Go

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// Quickstart is a sample program demonstrating use of the Cloud Bigtable client
// library to read a row from an existing table.
package main

import (
	"context"
	"flag"
	"log"

	"cloud.google.com/go/bigtable"
)

func main() {
	projectID := "my-project-id"   // The Google Cloud Platform project ID
	instanceID := "my-instance-id" // The Google Cloud Bigtable instance ID
	tableID := "my-table"          // The Google Cloud Bigtable table

	ctx := context.Background()

	// Set up Bigtable data operations client.
	client, err := bigtable.NewClient(ctx, projectID, instanceID)
	if err != nil {
		log.Fatalf("Could not create data operations client: %v", err)
	}

	tbl := client.Open(tableID)

	// Read data in a row using a row key
	rowKey := "r1"
	columnFamilyName := "cf1"

	log.Printf("Getting a single row by row key:")
	row, err := tbl.ReadRow(ctx, rowKey)
	if err != nil {
		log.Fatalf("Could not read row with key %s: %v", rowKey, err)
	}
	log.Printf("Row key: %s\n", rowKey)
	log.Printf("Data: %s\n", string(row[columnFamilyName][0].Value))

	if err = client.Close(); err != nil {
		log.Fatalf("Could not close data operations client: %v", err)
	}
}

Java

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import com.google.api.gax.rpc.NotFoundException;
import com.google.cloud.bigtable.data.v2.BigtableDataClient;
import com.google.cloud.bigtable.data.v2.BigtableDataSettings;
import com.google.cloud.bigtable.data.v2.models.Row;
import com.google.cloud.bigtable.data.v2.models.RowCell;

public class Quickstart {

  public static void quickstart(String projectId, String instanceId, String tableId) {
    // String projectId = "my-project-id";
    // String instanceId = "my-instance-id";
    // String tableId = "my-table-id";

    BigtableDataSettings settings =
        BigtableDataSettings.newBuilder().setProjectId(projectId).setInstanceId(instanceId).build();

    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (BigtableDataClient dataClient = BigtableDataClient.create(settings)) {
      System.out.println("\nReading a single row by row key");
      Row row = dataClient.readRow(tableId, "r1");
      System.out.println("Row: " + row.getKey().toStringUtf8());
      for (RowCell cell : row.getCells()) {
        System.out.printf(
            "Family: %s    Qualifier: %s    Value: %s%n",
            cell.getFamily(), cell.getQualifier().toStringUtf8(), cell.getValue().toStringUtf8());
      }
    } catch (NotFoundException e) {
      System.err.println("Failed to read from a non-existent table: " + e.getMessage());
    } catch (Exception e) {
      System.out.println("Error during quickstart: \n" + e.toString());
    }
  }
}

HBase

Read more in the API Reference Documentation for the Cloud Bigtable HBase Client for Java.

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package com.example.cloud.bigtable.quickstart;

import com.google.cloud.bigtable.hbase.BigtableConfiguration;

import java.io.IOException;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.Get;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.util.Bytes;

/**
 * A quickstart application that shows connecting to a Cloud Bigtable instance
 * using the native HBase API to read a row from a table.
 */
public class Quickstart {

  public static void main(String... args) {

    String projectId = args[0];  // my-gcp-project-id
    String instanceId = args[1]; // my-bigtable-instance-id
    String tableId = args[2];    // my-bigtable-table-id

    // Create a connection to the Cloud Bigtable instance.
    // Use try-with-resources to make sure the connection is closed correctly
    try (Connection connection = BigtableConfiguration.connect(projectId, instanceId)) {

      System.out.println("--- Connection established with Bigtable Instance ---");
      // Create a connection to the table that already exists
      // Use try-with-resources to make sure the connection to the table is closed correctly
      try (Table table = connection.getTable(TableName.valueOf(tableId))) {

        // Read a row
        String rowKey = "r1";
        System.out.printf("--- Reading for row-key: %s for provided table: %s ---\n",
            rowKey, tableId);

        // Retrieve the result
        Result result = table.get(new Get(Bytes.toBytes(rowKey)));

        // Convert row data to string
        String rowValue = Bytes.toString(result.value());

        System.out.printf("Scanned value for Row r1: %s \n", rowValue);

        System.out.println(" --- Finished reading row --- ");

      }  catch (IOException e) {
        // handle exception while connecting to a table
        throw e;
      }
    } catch (IOException e) {
      System.err.println("Exception while running quickstart: " + e.getMessage());
      e.printStackTrace();
    }
  }
}

Node.js

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// Imports the Google Cloud client library
const Bigtable = require('@google-cloud/bigtable');

const bigtable = Bigtable();

async function quickstart() {
  // Connect to an existing instance:my-bigtable-instance
  const instance = bigtable.instance(INSTANCE_ID);

  // Connect to an existing table:my-table
  const table = instance.table(TABLE_ID);

  // Read a row from my-table using a row key
  const [singleRow] = await table.row('r1').get();

  // Print the row key and data (column value, labels, timestamp)
  const rowData = JSON.stringify(singleRow.data, null, 4);
  console.log(`Row key: ${singleRow.id}\nData: ${rowData}`);
}
quickstart();

PHP

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use Google\Cloud\Bigtable\BigtableClient;

/** Uncomment and populate these variables in your code */
// $project_id = 'The Google project ID';
// $instance_id = 'The Bigtable instance ID';
// $table_id = 'The Bigtable table ID';


// Connect to an existing table with an existing instance.
$dataClient = new BigtableClient([
    'projectId' => $project_id,
]);
$table = $dataClient->table($instance_id, $table_id);
$key = 'r1';
// Read a row from my-table using a row key
$row = $table->readRow($key);

$column_family_id = 'cf1';
$column_id = 'c1';
// Get the Value from the Row, using the column_family_id and column_id

$value = $row[$column_family_id][$column_id][0]['value'];

printf("Row key: %s\nData: %s\n", $key, $value);

Python

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import argparse

from google.cloud import bigtable


def main(project_id="project-id", instance_id="instance-id",
         table_id="my-table"):
    # Create a Cloud Bigtable client.
    client = bigtable.Client(project=project_id)

    # Connect to an existing Cloud Bigtable instance.
    instance = client.instance(instance_id)

    # Open an existing table.
    table = instance.table(table_id)

    row_key = 'r1'
    row = table.read_row(row_key.encode('utf-8'))

    column_family_id = 'cf1'
    column_id = 'c1'.encode('utf-8')
    value = row.cells[column_family_id][column_id][0].value.decode('utf-8')

    print('Row key: {}\nData: {}'.format(row_key, value))


if __name__ == '__main__':
    parser = argparse.ArgumentParser(
        description=__doc__,
        formatter_class=argparse.ArgumentDefaultsHelpFormatter)
    parser.add_argument('project_id', help='Your Cloud Platform project ID.')
    parser.add_argument(
        'instance_id', help='ID of the Cloud Bigtable instance to connect to.')
    parser.add_argument(
        '--table',
        help='Existing table used in the quickstart.',
        default='my-table')

    args = parser.parse_args()
    main(args.project_id, args.instance_id, args.table)

Ruby

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# Import google bigtable client lib
require "google-cloud-bigtable"

# The name of the Cloud Bigtable instance
INSTANCE_NAME = "my-bigtable-instance"

#  The name of the Cloud Bigtable table
TABLE_NAME = "my-table"

gcloud = Google::Cloud.new
bigtable = gcloud.bigtable

# Get table client
table = bigtable.table(INSTANCE_NAME, TABLE_NAME)

# Read and print row
pp table.read_row("user00000001")

Additional resources

C++

C#

Go

Java

HBase

Node.js

PHP

Python

Ruby

Third-party Cloud Bigtable API client libraries

Scio

The Scio client library provides a Scala API for Dataflow, which can read from and write to Cloud Bigtable. The Scio repository provides sample code for a Dataflow pipeline that uses Cloud Bigtable.

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最終更新日: 12月 5, 2019

Cloud Bigtable Client Libraries

Installing the client library

C++

C#

Go

Java

HBase

Node.js

PHP

Python

Ruby

Setting up authentication

GCP Console

コマンドライン

Linux または macOS

Windows

Using the client library

C++

C#

Go

Java

HBase

Node.js

PHP

Python

Ruby

Additional resources

C++

C#

Go

Java

HBase

Node.js

PHP

Python

Ruby

Third-party Cloud Bigtable API client libraries

Scio

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