批次傳送訊息

批次訊息傳遞功能會建立採用自訂批次設定的發布端用戶端，並透過該用戶端發布幾則訊息。

本文說明如何搭配發布至主題的訊息，使用批次訊息傳遞功能。

事前準備

設定發布工作流程前，請先完成下列工作：

• 瞭解主題和發布工作流程。
• 建立主題。

必要的角色

如要取得將訊息發布至主題所需的權限，請要求管理員授予主題的 Pub/Sub 發布者 (roles/pubsub.publisher) 身分與存取權管理角色。如要進一步瞭解如何授予角色，請參閱「管理專案、資料夾和機構的存取權」。

您或許還可透過自訂角色或其他預先定義的角色取得必要權限。

您需要其他權限，才能建立或更新主題和訂閱項目。

使用批次訊息傳遞功能

請參閱下列程式碼範例，瞭解如何為發布商設定批次訊息傳送設定。

C++

在試用這個範例之前，請先按照「快速入門：使用用戶端程式庫」中的 C++ 設定操作說明進行操作。詳情請參閱 Pub/Sub C++ API 參考說明文件。

namespace pubsub = ::google::cloud::pubsub;
using ::google::cloud::future;
using ::google::cloud::Options;
using ::google::cloud::StatusOr;
[](std::string project_id, std::string topic_id) {
  auto topic = pubsub::Topic(std::move(project_id), std::move(topic_id));
  // By default, the publisher will flush a batch after 10ms, after it
  // contains more than 100 message, or after it contains more than 1MiB of
  // data, whichever comes first. This changes those defaults.
  auto publisher = pubsub::Publisher(pubsub::MakePublisherConnection(
      std::move(topic),
      Options{}
          .set<pubsub::MaxHoldTimeOption>(std::chrono::milliseconds(20))
          .set<pubsub::MaxBatchBytesOption>(4 * 1024 * 1024L)
          .set<pubsub::MaxBatchMessagesOption>(200)));

  std::vector<future<void>> ids;
  for (char const* data : {"1", "2", "3", "go!"}) {
    ids.push_back(
        publisher.Publish(pubsub::MessageBuilder().SetData(data).Build())
            .then([data](future<StatusOr<std::string>> f) {
              auto s = f.get();
              if (!s) return;
              std::cout << "Sent '" << data << "' (" << *s << ")\n";
            }));
  }
  publisher.Flush();
  // Block until they are actually sent.
  for (auto& id : ids) id.get();
}

C#

在嘗試這個範例之前，請先按照快速入門：使用用戶端程式庫中的 C# 設定操作說明進行操作。詳情請參閱 Pub/Sub C# API 參考說明文件。

using Google.Api.Gax;
using Google.Cloud.PubSub.V1;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;

public class PublishBatchedMessagesAsyncSample
{
    public async Task<int> PublishBatchMessagesAsync(string projectId, string topicId, IEnumerable<string> messageTexts)
    {
        TopicName topicName = TopicName.FromProjectTopic(projectId, topicId);

        // Default Settings:
        // byteCountThreshold: 1000000
        // elementCountThreshold: 100
        // delayThreshold: 10 milliseconds
        var customSettings = new PublisherClient.Settings
        {
            BatchingSettings = new BatchingSettings(
                elementCountThreshold: 50,
                byteCountThreshold: 10240,
                delayThreshold: TimeSpan.FromMilliseconds(500))
        };

        PublisherClient publisher = await new PublisherClientBuilder
        {
            TopicName = topicName,
            Settings = customSettings
        }.BuildAsync();

        int publishedMessageCount = 0;
        var publishTasks = messageTexts.Select(async text =>
        {
            try
            {
                string message = await publisher.PublishAsync(text);
                Console.WriteLine($"Published message {message}");
                Interlocked.Increment(ref publishedMessageCount);
            }
            catch (Exception exception)
            {
                Console.WriteLine($"An error occurred when publishing message {text}: {exception.Message}");
            }
        });
        await Task.WhenAll(publishTasks);
        return publishedMessageCount;
    }
}

Go

在試用這個範例之前，請先按照快速入門：使用用戶端程式庫中的 Go 設定說明進行操作。詳情請參閱 Pub/Sub Go API 參考說明文件。

import (
	"context"
	"fmt"
	"io"
	"strconv"
	"time"

	"cloud.google.com/go/pubsub/v2"
)

func publishWithSettings(w io.Writer, projectID, topicID string) error {
	// projectID := "my-project-id"
	// topicID := "my-topic"
	ctx := context.Background()
	client, err := pubsub.NewClient(ctx, projectID)
	if err != nil {
		return fmt.Errorf("pubsub.NewClient: %w", err)
	}
	defer client.Close()

	// client.Publisher can be passed a topic ID (e.g. "my-topic") or
	// a fully qualified name (e.g. "projects/my-project/topics/my-topic").
	// If a topic ID is provided, the project ID from the client is used.
	publisher := client.Publisher(topicID)
	publisher.PublishSettings.ByteThreshold = 5000
	publisher.PublishSettings.CountThreshold = 10
	publisher.PublishSettings.DelayThreshold = 100 * time.Millisecond

	var results []*pubsub.PublishResult
	var resultErrors []error
	for i := 0; i < 10; i++ {
		result := publisher.Publish(ctx, &pubsub.Message{
			Data: []byte("Message " + strconv.Itoa(i)),
		})
		results = append(results, result)
	}
	// The Get method blocks until a server-generated ID or
	// an error is returned for the published message.
	for i, res := range results {
		id, err := res.Get(ctx)
		if err != nil {
			resultErrors = append(resultErrors, err)
			fmt.Fprintf(w, "Failed to publish: %v", err)
			continue
		}
		fmt.Fprintf(w, "Published message %d; msg ID: %v\n", i, id)
	}
	if len(resultErrors) != 0 {
		return fmt.Errorf("Get: %v", resultErrors[len(resultErrors)-1])
	}
	fmt.Fprintf(w, "Published messages with batch settings.")
	return nil
}

Java

在試用這個範例之前，請先按照快速入門：使用用戶端程式庫中的操作說明設定 Java 環境。詳情請參閱 Pub/Sub Java API 參考說明文件。

import com.google.api.core.ApiFuture;
import com.google.api.core.ApiFutures;
import com.google.api.gax.batching.BatchingSettings;
import com.google.cloud.pubsub.v1.Publisher;
import com.google.protobuf.ByteString;
import com.google.pubsub.v1.PubsubMessage;
import com.google.pubsub.v1.TopicName;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import org.threeten.bp.Duration;

public class PublishWithBatchSettingsExample {
  public static void main(String... args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String topicId = "your-topic-id";

    publishWithBatchSettingsExample(projectId, topicId);
  }

  public static void publishWithBatchSettingsExample(String projectId, String topicId)
      throws IOException, ExecutionException, InterruptedException {
    TopicName topicName = TopicName.of(projectId, topicId);
    Publisher publisher = null;
    List<ApiFuture<String>> messageIdFutures = new ArrayList<>();

    try {
      // Batch settings control how the publisher batches messages
      long requestBytesThreshold = 5000L; // default : 1000 bytes
      long messageCountBatchSize = 100L; // default : 100 message

      Duration publishDelayThreshold = Duration.ofMillis(100); // default : 1 ms

      // Publish request get triggered based on request size, messages count & time since last
      // publish, whichever condition is met first.
      BatchingSettings batchingSettings =
          BatchingSettings.newBuilder()
              .setElementCountThreshold(messageCountBatchSize)
              .setRequestByteThreshold(requestBytesThreshold)
              .setDelayThreshold(publishDelayThreshold)
              .build();

      // Create a publisher instance with default settings bound to the topic
      publisher = Publisher.newBuilder(topicName).setBatchingSettings(batchingSettings).build();

      // schedule publishing one message at a time : messages get automatically batched
      for (int i = 0; i < 100; i++) {
        String message = "message " + i;
        ByteString data = ByteString.copyFromUtf8(message);
        PubsubMessage pubsubMessage = PubsubMessage.newBuilder().setData(data).build();

        // Once published, returns a server-assigned message id (unique within the topic)
        ApiFuture<String> messageIdFuture = publisher.publish(pubsubMessage);
        messageIdFutures.add(messageIdFuture);
      }
    } finally {
      // Wait on any pending publish requests.
      List<String> messageIds = ApiFutures.allAsList(messageIdFutures).get();

      System.out.println("Published " + messageIds.size() + " messages with batch settings.");

      if (publisher != null) {
        // When finished with the publisher, shutdown to free up resources.
        publisher.shutdown();
        publisher.awaitTermination(1, TimeUnit.MINUTES);
      }
    }
  }
}

Node.js

在嘗試這個範例之前，請先按照快速入門：使用用戶端程式庫中的 Node.js 設定說明進行操作。詳情請參閱 Pub/Sub Node.js API 參考說明文件。

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const topicName = 'YOUR_TOPIC_NAME';
// const data = JSON.stringify({foo: 'bar'});
// const maxMessages = 10;
// const maxWaitTime = 10;

// Imports the Google Cloud client library
const {PubSub} = require('@google-cloud/pubsub');

// Creates a client; cache this for further use
const pubSubClient = new PubSub();

async function publishBatchedMessages(
  topicNameOrId,
  data,
  maxMessages,
  maxWaitTime,
) {
  // Publishes the message as a string, e.g. "Hello, world!" or JSON.stringify(someObject)
  const dataBuffer = Buffer.from(data);

  // Cache topic objects (publishers) and reuse them.
  const publishOptions = {
    batching: {
      maxMessages: maxMessages,
      maxMilliseconds: maxWaitTime * 1000,
    },
  };
  const batchPublisher = pubSubClient.topic(topicNameOrId, publishOptions);

  const promises = [];
  for (let i = 0; i < 10; i++) {
    promises.push(
      (async () => {
        const messageId = await batchPublisher.publishMessage({
          data: dataBuffer,
        });
        console.log(`Message ${messageId} published.`);
      })(),
    );
  }
  await Promise.all(promises);
}

Node.js

在嘗試這個範例之前，請先按照快速入門：使用用戶端程式庫中的 Node.js 設定說明進行操作。詳情請參閱 Pub/Sub Node.js API 參考說明文件。

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const topicName = 'YOUR_TOPIC_NAME';
// const data = JSON.stringify({foo: 'bar'});
// const maxMessages = 10;
// const maxWaitTime = 10;

// Imports the Google Cloud client library
import {PublishOptions, PubSub} from '@google-cloud/pubsub';

// Creates a client; cache this for further use
const pubSubClient = new PubSub();

async function publishBatchedMessages(
  topicNameOrId: string,
  data: string,
  maxMessages: number,
  maxWaitTime: number,
) {
  // Publishes the message as a string, e.g. "Hello, world!" or JSON.stringify(someObject)
  const dataBuffer = Buffer.from(data);

  // Cache topic objects (publishers) and reuse them.
  const publishOptions: PublishOptions = {
    batching: {
      maxMessages: maxMessages,
      maxMilliseconds: maxWaitTime * 1000,
    },
  };
  const batchPublisher = pubSubClient.topic(topicNameOrId, publishOptions);

  const promises: Promise<void>[] = [];
  for (let i = 0; i < 10; i++) {
    promises.push(
      (async () => {
        const messageId = await batchPublisher.publishMessage({
          data: dataBuffer,
        });
        console.log(`Message ${messageId} published.`);
      })(),
    );
  }
  await Promise.all(promises);
}

PHP

在試用這個範例之前，請先按照快速入門：使用用戶端程式庫中的 PHP 設定說明進行操作。 詳情請參閱 Pub/Sub PHP API 參考說明文件。

use Google\Cloud\PubSub\PubSubClient;

/**
 * Publishes a message for a Pub/Sub topic.
 *
 * The publisher should be used in conjunction with the `google-cloud-batch`
 * daemon, which should be running in the background.
 *
 * To start the daemon, from your project root call `vendor/bin/google-cloud-batch daemon`.
 *
 * @param string $projectId  The Google project ID.
 * @param string $topicName  The Pub/Sub topic name.
 * @param string $message    The message to publish.
 */
function publish_message_batch($projectId, $topicName, $message)
{
    // Check if the batch daemon is running.
    if (getenv('IS_BATCH_DAEMON_RUNNING') !== 'true') {
        trigger_error(
            'The batch daemon is not running. Call ' .
            '`vendor/bin/google-cloud-batch daemon` from ' .
            'your project root to start the daemon.',
            E_USER_NOTICE
        );
    }

    $batchOptions = [
        'batchSize' => 100, // Max messages for each batch.
        'callPeriod' => 0.01, // Max time in seconds between each batch publish.
    ];

    $pubsub = new PubSubClient([
        'projectId' => $projectId,
    ]);
    $topic = $pubsub->topic($topicName);
    $publisher = $topic->batchPublisher([
        'batchOptions' => $batchOptions
    ]);

    for ($i = 0; $i < 10; $i++) {
        $publisher->publish(['data' => $message]);
    }

    print('Messages enqueued for publication.' . PHP_EOL);
}

Python

在試用這個範例之前，請先按照快速入門：使用用戶端程式庫中的 Python 設定操作說明來進行。詳情請參閱 Pub/Sub Python API 參考說明文件。

from concurrent import futures
from google.cloud import pubsub_v1

# TODO(developer)
# project_id = "your-project-id"
# topic_id = "your-topic-id"

# Configure the batch to publish as soon as there are 10 messages
# or 1 KiB of data, or 1 second has passed.
batch_settings = pubsub_v1.types.BatchSettings(
    max_messages=10,  # default 100
    max_bytes=1024,  # default 1 MB
    max_latency=1,  # default 10 ms
)
publisher = pubsub_v1.PublisherClient(batch_settings)
topic_path = publisher.topic_path(project_id, topic_id)
publish_futures = []

# Resolve the publish future in a separate thread.
def callback(future: pubsub_v1.publisher.futures.Future) -> None:
    message_id = future.result()
    print(message_id)

for n in range(1, 10):
    data_str = f"Message number {n}"
    # Data must be a bytestring
    data = data_str.encode("utf-8")
    publish_future = publisher.publish(topic_path, data)
    # Non-blocking. Allow the publisher client to batch multiple messages.
    publish_future.add_done_callback(callback)
    publish_futures.append(publish_future)

futures.wait(publish_futures, return_when=futures.ALL_COMPLETED)

print(f"Published messages with batch settings to {topic_path}.")

Ruby

在試用這個範例之前，請先按照快速入門：使用用戶端程式庫的操作說明設定 Ruby 環境。詳情請參閱 Pub/Sub Ruby API 參考說明文件。

# topic_id = "your-topic-id"

pubsub = Google::Cloud::Pubsub.new

# Start sending messages in one request once the size of all queued messages
# reaches 1 MB or the number of queued messages reaches 20
topic = pubsub.topic topic_id, async: {
  max_bytes:    1_000_000,
  max_messages: 20
}
10.times do |i|
  topic.publish_async "This is message ##{i}."
end

# Stop the async_publisher to send all queued messages immediately.
topic.async_publisher.stop.wait!
puts "Messages published asynchronously in batch."

停用批次訊息傳遞功能

如要在用戶端程式庫中停用批次處理，請將 max_messages 的值設為 1。

批次傳訊和依序傳送

如果啟用依序傳送功能，但未確認批次中的任何訊息，系統就會重新傳送批次中的所有訊息，包括在未確認訊息之前傳送的訊息。

批次訊息的配額和限制

設定批次訊息傳送功能前，請先考量發布輸送量配額和批次大小上限等因素的影響。高階用戶端程式庫可確保批次要求不超過指定限制。

• 即使實際訊息大小可能小於 1000 個位元組，系統仍會以 1000 個位元組做為計算費用的最小要求大小。
• Pub/Sub 對單一批次發布要求設有限制，大小不得超過 10 MB，訊息數量不得超過 1,000 則。

詳情請參閱 Pub/Sub 配額與限制。

後續步驟

如要瞭解如何設定進階發布選項，請參閱下列文章：

• 壓縮訊息

• 重試要求

• 流量控制

• 並行控制