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Pubblicare messaggi negli argomenti

Questo documento fornisce informazioni sulla pubblicazione dei messaggi.

Un'applicazione publisher crea e invia messaggi a un argomento. Pub/Sub offre la consegna di messaggi almeno una volta e il migliore tentativo per gli abbonati esistenti.

Il flusso generale per un'applicazione dell'editore è:

Crea un messaggio contenente i tuoi dati.
Invia una richiesta al server Pub/Sub per pubblicare il messaggio nell'argomento specificato.

Prima di iniziare

Prima di configurare il flusso di lavoro di pubblicazione, assicurati di aver completato le seguenti attività:

Crea un argomento.
(Facoltativo) Crea un abbonamento.

Formato del messaggio

Un messaggio è costituito da campi con i dati del messaggio e i metadati. Specifica almeno uno dei seguenti valori nel messaggio:

Dati del messaggio
Una chiave di ordinazione
Attributi con metadati aggiuntivi

Se utilizzi l'API REST, i dati dei messaggi devono essere codificati in base64.

Il servizio Pub/Sub aggiunge i seguenti campi al messaggio:

Un ID messaggio univoco per l'argomento
Un timestamp per la ricezione del messaggio dal servizio Pub/Sub

Pubblica dei messaggi

Puoi pubblicare messaggi con Google Cloud CLI o l'API Pub/Sub. Le librerie client possono pubblicare messaggi in modo asincrono.

Console

Per pubblicare un messaggio:

Nella console Google Cloud, vai alla pagina Argomenti Pub/Sub.

Vai alla pagina degli argomenti Pub/Sub
Fai clic sull'ID argomento.
Nella pagina Dettagli argomento, in Messaggi, fai clic su Pubblica messaggio.
Nel campo Corpo del messaggio, inserisci i dati del messaggio.
(Facoltativo) Aggiungi gli attributi del messaggio.
1. Fai clic su Aggiungi un attributo.
2. Inserisci una chiave e un valore per l'attributo.
Fai clic su Pubblica.

gcloud

Per pubblicare un messaggio, utilizza il comando gcloud pubsub topics publish:

gcloud pubsub topics publish TOPIC_ID \
  --message=MESSAGE_DATA \
  [--attribute=KEY="VALUE",...]

Sostituisci quanto segue:

TOPIC_ID: l'ID dell'argomento
MESSAGE_DATA: una stringa con i dati del messaggio
KEY: la chiave di un attributo di messaggio
VALUE: il valore della chiave dell'attributo del messaggio

REST

Per pubblicare un messaggio, invia una richiesta POST come la seguente:

POST  https://pubsub.googleapis.com/v1/projects/PROJECT_ID/topics/TOPIC_ID:publish
Content-Type: application/json
Authorization: Bearer $(gcloud auth application-default print-access-token)

Sostituisci quanto segue:

PROJECT_ID: l'ID del progetto con l'argomento
TOPIC_ID: l'ID dell'argomento

Specifica i seguenti campi nel corpo della richiesta:

{
  "messages": [
    {
      "attributes": {
        "KEY": "VALUE",
        ...
      },
      "data": "MESSAGE_DATA",
    }
  ]
}

Sostituisci quanto segue:

KEY: la chiave di un attributo di messaggio
VALUE: il valore della chiave dell'attributo del messaggio
MESSAGE_DATA: una stringa con codifica base64 con i dati dei messaggi

Il messaggio deve contenere un campo di dati non vuoto o almeno un attributo.

Se la richiesta ha esito positivo, la risposta è un oggetto JSON con l'ID messaggio. Il seguente esempio è una risposta con un ID messaggio:

{
  "messageIds": [
    "19916711285",
  ]
}

C++

Prima di provare questo esempio, segui le istruzioni di configurazione di C++ in Guida rapida: utilizzo delle librerie client. Per ulteriori informazioni, consulta la documentazione di riferimento dell'API Pub/Sub C++.

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namespace pubsub = ::google::cloud::pubsub;
using ::google::cloud::future;
using ::google::cloud::StatusOr;
[](pubsub::Publisher publisher) {
  auto message_id = publisher.Publish(
      pubsub::MessageBuilder{}.SetData("Hello World!").Build());
  auto done = message_id.then([](future<StatusOr<std::string>> f) {
    auto id = f.get();
    if (!id) throw std::move(id).status();
    std::cout << "Hello World! published with id=" << *id << "\n";
  });
  // Block until the message is published
  done.get();
}

C#

Prima di provare questo esempio, segui le istruzioni di configurazione di C# in Guida rapida all'utilizzo delle librerie client. Per ulteriori informazioni, consulta la documentazione di riferimento dell'API Pub/Sub C#.

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

public class PublishMessagesAsyncSample
{
    public async Task<int> PublishMessagesAsync(string projectId, string topicId, IEnumerable<string> messageTexts)
    {
        TopicName topicName = TopicName.FromProjectTopic(projectId, topicId);
        PublisherClient publisher = await PublisherClient.CreateAsync(topicName);

        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 ocurred when publishing message {text}: {exception.Message}");
            }
        });
        await Task.WhenAll(publishTasks);
        return publishedMessageCount;
    }
}

Go

Prima di provare questo esempio, segui le istruzioni per la configurazione di Go in Guida rapida: utilizzo delle librerie client. Per ulteriori informazioni, consulta la documentazione di riferimento per l'API Pub/Sub Go.

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import (
	"context"
	"fmt"
	"io"
	"strconv"
	"sync"
	"sync/atomic"

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

func publishThatScales(w io.Writer, projectID, topicID string, n int) 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: %v", err)
	}
	defer client.Close()

	var wg sync.WaitGroup
	var totalErrors uint64
	t := client.Topic(topicID)

	for i := 0; i < n; i++ {
		result := t.Publish(ctx, &pubsub.Message{
			Data: []byte("Message " + strconv.Itoa(i)),
		})

		wg.Add(1)
		go func(i int, res *pubsub.PublishResult) {
			defer wg.Done()
			// The Get method blocks until a server-generated ID or
			// an error is returned for the published message.
			id, err := res.Get(ctx)
			if err != nil {
				// Error handling code can be added here.
				fmt.Fprintf(w, "Failed to publish: %v", err)
				atomic.AddUint64(&totalErrors, 1)
				return
			}
			fmt.Fprintf(w, "Published message %d; msg ID: %v\n", i, id)
		}(i, result)
	}

	wg.Wait()

	if totalErrors > 0 {
		return fmt.Errorf("%d of %d messages did not publish successfully", totalErrors, n)
	}
	return nil
}

Java

Prima di provare questo esempio, segui le istruzioni di configurazione di Java in Guida rapida: utilizzo delle librerie client. Per ulteriori informazioni, consulta la documentazione di riferimento per l'API Java di Pub/Sub.

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import com.google.api.core.ApiFuture;
import com.google.api.core.ApiFutureCallback;
import com.google.api.core.ApiFutures;
import com.google.api.gax.rpc.ApiException;
import com.google.cloud.pubsub.v1.Publisher;
import com.google.common.util.concurrent.MoreExecutors;
import com.google.protobuf.ByteString;
import com.google.pubsub.v1.PubsubMessage;
import com.google.pubsub.v1.TopicName;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;
import java.util.concurrent.TimeUnit;

public class PublishWithErrorHandlerExample {

  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";

    publishWithErrorHandlerExample(projectId, topicId);
  }

  public static void publishWithErrorHandlerExample(String projectId, String topicId)
      throws IOException, InterruptedException {
    TopicName topicName = TopicName.of(projectId, topicId);
    Publisher publisher = null;

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

      List<String> messages = Arrays.asList("first message", "second message");

      for (final String message : messages) {
        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> future = publisher.publish(pubsubMessage);

        // Add an asynchronous callback to handle success / failure
        ApiFutures.addCallback(
            future,
            new ApiFutureCallback<String>() {

              @Override
              public void onFailure(Throwable throwable) {
                if (throwable instanceof ApiException) {
                  ApiException apiException = ((ApiException) throwable);
                  // details on the API exception
                  System.out.println(apiException.getStatusCode().getCode());
                  System.out.println(apiException.isRetryable());
                }
                System.out.println("Error publishing message : " + message);
              }

              @Override
              public void onSuccess(String messageId) {
                // Once published, returns server-assigned message ids (unique within the topic)
                System.out.println("Published message ID: " + messageId);
              }
            },
            MoreExecutors.directExecutor());
      }
    } finally {
      if (publisher != null) {
        // When finished with the publisher, shutdown to free up resources.
        publisher.shutdown();
        publisher.awaitTermination(1, TimeUnit.MINUTES);
      }
    }
  }
}

Node.js

Prima di provare questo esempio, segui le istruzioni di configurazione di Node.js in Guida rapida: utilizzo delle librerie client. Per ulteriori informazioni, consulta la documentazione di riferimento per l'API Pub/Sub Node.js.

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/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const topicNameOrId = 'YOUR_TOPIC_NAME_OR_ID';
// const data = JSON.stringify({foo: 'bar'});

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

  try {
    const messageId = await pubSubClient
      .topic(topicNameOrId)
      .publishMessage({data: dataBuffer});
    console.log(`Message ${messageId} published.`);
  } catch (error) {
    console.error(`Received error while publishing: ${error.message}`);

    process.exitCode = 1;
  }
}

PHP

Prima di provare questo esempio, segui le istruzioni di configurazione di PHP in Guida rapida: utilizzo delle librerie client. Per ulteriori informazioni, consulta la documentazione di riferimento per l'API PHP Pub/Sub.

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use Google\Cloud\PubSub\MessageBuilder;
use Google\Cloud\PubSub\PubSubClient;

/**
 * Publishes a message for a Pub/Sub topic.
 *
 * @param string $projectId  The Google project ID.
 * @param string $topicName  The Pub/Sub topic name.
 * @param string $message  The message to publish.
 */
function publish_message($projectId, $topicName, $message)
{
    $pubsub = new PubSubClient([
        'projectId' => $projectId,
    ]);

    $topic = $pubsub->topic($topicName);
    $topic->publish((new MessageBuilder)->setData($message)->build());

    print('Message published' . PHP_EOL);
}

Python

Prima di provare questo esempio, segui le istruzioni di configurazione di Python in Guida rapida: utilizzo delle librerie client. Per ulteriori informazioni, consulta la documentazione di riferimento per l'API Python Pub/Sub.

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"""Publishes multiple messages to a Pub/Sub topic with an error handler."""
from concurrent import futures
from google.cloud import pubsub_v1
from typing import Callable

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

publisher = pubsub_v1.PublisherClient()
topic_path = publisher.topic_path(project_id, topic_id)
publish_futures = []

def get_callback(
    publish_future: pubsub_v1.publisher.futures.Future, data: str
) -> Callable[[pubsub_v1.publisher.futures.Future], None]:
    def callback(publish_future: pubsub_v1.publisher.futures.Future) -> None:
        try:
            # Wait 60 seconds for the publish call to succeed.
            print(publish_future.result(timeout=60))
        except futures.TimeoutError:
            print(f"Publishing {data} timed out.")

    return callback

for i in range(10):
    data = str(i)
    # When you publish a message, the client returns a future.
    publish_future = publisher.publish(topic_path, data.encode("utf-8"))
    # Non-blocking. Publish failures are handled in the callback function.
    publish_future.add_done_callback(get_callback(publish_future, data))
    publish_futures.append(publish_future)

# Wait for all the publish futures to resolve before exiting.
futures.wait(publish_futures, return_when=futures.ALL_COMPLETED)

print(f"Published messages with error handler to {topic_path}.")

Ruby

Prima di provare questo esempio, segui le istruzioni di configurazione di Ruby in Guida rapida: utilizzo delle librerie client. Per ulteriori informazioni, consulta la documentazione di riferimento per l'API Pub/Sub Ruby.

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# topic_id = "your-topic-id"
require "google/cloud/pubsub"

pubsub = Google::Cloud::Pubsub.new

topic = pubsub.topic topic_id

begin
  topic.publish_async "This is a test message." do |result|
    raise "Failed to publish the message." unless result.succeeded?
    puts "Message published asynchronously."
  end

  # Stop the async_publisher to send all queued messages immediately.
  topic.async_publisher.stop.wait!
rescue StandardError => e
  puts "Received error while publishing: #{e.message}"
end

Dopo aver pubblicato un messaggio, il servizio Pub/Sub restituisce l'ID messaggio al publisher.

Utilizza gli attributi

Puoi incorporare attributi personalizzati come metadati nei messaggi Pub/Sub. Gli attributi possono essere stringhe di testo o stringhe di byte. Puoi avere al massimo 100 attributi per messaggio. Le chiavi degli attributi non possono iniziare con goog e non superare i 256 byte. I valori degli attributi non devono superare i 1024 byte. Lo schema di messaggi può essere rappresentato come segue:

{
  "data": string,
  "attributes": {
    string: string,
    ...
  },
  "messageId": string,
  "publishTime": string,
  "orderingKey": string
}

Lo schema JSON PubsubMessage viene pubblicato come parte della documentazione di REST e RPC.

gcloud

gcloud pubsub topics publish my-topic --message="hello" \
  --attribute="origin=gcloud-sample,username=gcp"

C++

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namespace pubsub = ::google::cloud::pubsub;
using ::google::cloud::future;
using ::google::cloud::StatusOr;
[](pubsub::Publisher publisher) {
  std::vector<future<void>> done;
  for (int i = 0; i != 10; ++i) {
    auto message_id = publisher.Publish(
        pubsub::MessageBuilder{}
            .SetData("Hello World! [" + std::to_string(i) + "]")
            .SetAttribute("origin", "cpp-sample")
            .SetAttribute("username", "gcp")
            .Build());
    done.push_back(message_id.then([i](future<StatusOr<std::string>> f) {
      auto id = f.get();
      if (!id) throw std::move(id).status();
      std::cout << "Message " << i << " published with id=" << *id << "\n";
    }));
  }
  publisher.Flush();
  // Block until all the messages are published (optional)
  for (auto& f : done) f.get();
}

C#

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using Google.Cloud.PubSub.V1;
using Google.Protobuf;
using System;
using System.Threading.Tasks;

public class PublishMessageWithCustomAttributesAsyncSample
{
    public async Task PublishMessageWithCustomAttributesAsync(string projectId, string topicId, string messageText)
    {
        TopicName topicName = TopicName.FromProjectTopic(projectId, topicId);
        PublisherClient publisher = await PublisherClient.CreateAsync(topicName);

        var pubsubMessage = new PubsubMessage
        {
            // The data is any arbitrary ByteString. Here, we're using text.
            Data = ByteString.CopyFromUtf8(messageText),
            // The attributes provide metadata in a string-to-string dictionary.
            Attributes =
            {
                { "year", "2020" },
                { "author", "unknown" }
            }
        };
        string message = await publisher.PublishAsync(pubsubMessage);
        Console.WriteLine($"Published message {message}");
    }
}

Go

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import (
	"context"
	"fmt"
	"io"

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

func publishCustomAttributes(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: %v", err)
	}
	defer client.Close()

	t := client.Topic(topicID)
	result := t.Publish(ctx, &pubsub.Message{
		Data: []byte("Hello world!"),
		Attributes: map[string]string{
			"origin":   "golang",
			"username": "gcp",
		},
	})
	// Block until the result is returned and a server-generated
	// ID is returned for the published message.
	id, err := result.Get(ctx)
	if err != nil {
		return fmt.Errorf("Get: %v", err)
	}
	fmt.Fprintf(w, "Published message with custom attributes; msg ID: %v\n", id)
	return nil
}

Java

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import com.google.api.core.ApiFuture;
import com.google.cloud.pubsub.v1.Publisher;
import com.google.common.collect.ImmutableMap;
import com.google.protobuf.ByteString;
import com.google.pubsub.v1.PubsubMessage;
import com.google.pubsub.v1.TopicName;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;

public class PublishWithCustomAttributesExample {
  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";

    publishWithCustomAttributesExample(projectId, topicId);
  }

  public static void publishWithCustomAttributesExample(String projectId, String topicId)
      throws IOException, ExecutionException, InterruptedException {
    TopicName topicName = TopicName.of(projectId, topicId);
    Publisher publisher = null;

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

      String message = "first message";
      ByteString data = ByteString.copyFromUtf8(message);
      PubsubMessage pubsubMessage =
          PubsubMessage.newBuilder()
              .setData(data)
              .putAllAttributes(ImmutableMap.of("year", "2020", "author", "unknown"))
              .build();

      // Once published, returns a server-assigned message id (unique within the topic)
      ApiFuture<String> messageIdFuture = publisher.publish(pubsubMessage);
      String messageId = messageIdFuture.get();
      System.out.println("Published a message with custom attributes: " + messageId);

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

Node.js

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/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const topicNameOrId = 'YOUR_TOPIC_NAME_OR_ID';
// const data = JSON.stringify({foo: 'bar'});

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

  // Add two custom attributes, origin and username, to the message
  const customAttributes = {
    origin: 'nodejs-sample',
    username: 'gcp',
  };

  const messageId = await pubSubClient
    .topic(topicNameOrId)
    .publishMessage({data: dataBuffer, attributes: customAttributes});
  console.log(`Message ${messageId} published.`);
}

Python

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from google.cloud import pubsub_v1

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

publisher = pubsub_v1.PublisherClient()
topic_path = publisher.topic_path(project_id, topic_id)

for n in range(1, 10):
    data_str = f"Message number {n}"
    # Data must be a bytestring
    data = data_str.encode("utf-8")
    # Add two attributes, origin and username, to the message
    future = publisher.publish(
        topic_path, data, origin="python-sample", username="gcp"
    )
    print(future.result())

print(f"Published messages with custom attributes to {topic_path}.")

Ruby

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# topic_id = "your-topic-id"
require "google/cloud/pubsub"

pubsub = Google::Cloud::Pubsub.new

topic = pubsub.topic topic_id
# Add two attributes, origin and username, to the message
topic.publish_async "This is a test message.",
                    origin:   "ruby-sample",
                    username: "gcp" do |result|
  raise "Failed to publish the message." unless result.succeeded?
  puts "Message with custom attributes published asynchronously."
end

# Stop the async_publisher to send all queued messages immediately.
topic.async_publisher.stop.wait!

Usa i tasti di ordinazione

Se i messaggi hanno la stessa chiave di ordinamento e li pubblichi nella stessa area geografica, i sottoscrittori possono riceverli in ordine. La pubblicazione di messaggi con chiavi di ordinamento potrebbe aumentare la latenza. Per pubblicare messaggi nella stessa area geografica, utilizza un endpoint a livello di area geografica.

Puoi pubblicare messaggi con chiavi di ordinamento utilizzando la console Google Cloud, Google Cloud CLI o l'API Pub/Sub.

Console

Nella console Google Cloud, vai alla pagina Argomenti Pub/Sub.

Vai alla pagina degli argomenti Pub/Sub
Fai clic sull'ID argomento.
Nella pagina Dettagli argomento, in Messaggi, fai clic su Pubblica messaggio.
Nel campo Corpo del messaggio, inserisci i dati del messaggio.
Inserisci una chiave di ordinamento nel campo Ordine messaggi.
Fai clic su Pubblica.

gcloud

Per pubblicare un messaggio con una chiave di ordinamento, utilizza il comando gcloud pubsub topics publish e il flag --ordering-key:

gcloud pubsub topics publish TOPIC_ID \
  --message=MESSAGE_DATA \
  --ordering-key=ORDERING_KEY

Sostituisci quanto segue:

TOPIC_ID: l'ID dell'argomento
MESSAGE_DATA: una stringa con i dati del messaggio
ORDERING_KEY: una stringa con una chiave di ordinamento

REST

Per pubblicare un messaggio con una chiave di ordinamento, invia una richiesta POST simile alla seguente:

POST  https://pubsub.googleapis.com/v1/projects/PROJECT_ID/topics/TOPIC_ID:publish
Content-Type: application/json
Authorization: Bearer $(gcloud auth application-default print-access-token)

Sostituisci quanto segue:

PROJECT_ID: l'ID del progetto con l'argomento
TOPIC_ID: l'ID dell'argomento

Specifica i seguenti campi nel corpo della richiesta:

{
  "messages": [
    {
      "attributes": {
        "KEY": "VALUE",
        ...
      },
      "data": "MESSAGE_DATA",
      "ordering_key": "ORDERING_KEY",
    }
  ]
}

Sostituisci quanto segue:

KEY: la chiave di un attributo di messaggio
VALUE: il valore della chiave dell'attributo del messaggio
MESSAGE_DATA: una stringa con codifica base64 con i dati dei messaggi
ORDERING_KEY: una stringa con una chiave di ordinamento

Il messaggio deve contenere un campo di dati non vuoto o almeno un attributo.

Se la richiesta ha esito positivo, la risposta è un oggetto JSON con l'ID messaggio. Il seguente esempio è una risposta con un ID messaggio:

{
  "messageIds": [
    "19916711285",
  ]
}

C++

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namespace pubsub = ::google::cloud::pubsub;
using ::google::cloud::future;
using ::google::cloud::StatusOr;
[](pubsub::Publisher publisher) {
  struct SampleData {
    std::string ordering_key;
    std::string data;
  } data[] = {
      {"key1", "message1"}, {"key2", "message2"}, {"key1", "message3"},
      {"key1", "message4"}, {"key1", "message5"},
  };
  std::vector<future<void>> done;
  for (auto& datum : data) {
    auto message_id =
        publisher.Publish(pubsub::MessageBuilder{}
                              .SetData("Hello World! [" + datum.data + "]")
                              .SetOrderingKey(datum.ordering_key)
                              .Build());
    std::string ack_id = datum.ordering_key + "#" + datum.data;
    done.push_back(message_id.then([ack_id](future<StatusOr<std::string>> f) {
      auto id = f.get();
      if (!id) throw std::move(id).status();
      std::cout << "Message " << ack_id << " published with id=" << *id
                << "\n";
    }));
  }
  publisher.Flush();
  // Block until all the messages are published (optional)
  for (auto& f : done) f.get();
}

C#

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

public class PublishOrderedMessagesAsyncSample
{
    public async Task<int> PublishOrderedMessagesAsync(string projectId, string topicId, IEnumerable<(string, string)> keysAndMessages)
    {
        TopicName topicName = TopicName.FromProjectTopic(projectId, topicId);

        var customSettings = new PublisherClient.Settings
        {
            EnableMessageOrdering = true
        };

        PublisherClient publisher = await new PublisherClientBuilder
        {
            TopicName = topicName,
            // Sending messages to the same region ensures they are received in order even when multiple publishers are used.
            Endpoint = "us-east1-pubsub.googleapis.com:443",
            Settings = customSettings
        }.BuildAsync();

        int publishedMessageCount = 0;
        var publishTasks = keysAndMessages.Select(async keyAndMessage =>
        {
            try
            {
                string message = await publisher.PublishAsync(keyAndMessage.Item1, keyAndMessage.Item2);
                Console.WriteLine($"Published message {message}");
                Interlocked.Increment(ref publishedMessageCount);
            }
            catch (Exception exception)
            {
                Console.WriteLine($"An error occurred when publishing message {keyAndMessage.Item2}: {exception.Message}");
            }
        });
        await Task.WhenAll(publishTasks);
        return publishedMessageCount;
    }
}

Go

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import (
	"context"
	"fmt"
	"io"
	"sync"
	"sync/atomic"

	"cloud.google.com/go/pubsub"
	"google.golang.org/api/option"
)

func publishWithOrderingKey(w io.Writer, projectID, topicID string) {
	// projectID := "my-project-id"
	// topicID := "my-topic"
	ctx := context.Background()

	// Sending messages to the same region ensures they are received in order
	// even when multiple publishers are used.
	client, err := pubsub.NewClient(ctx, projectID,
		option.WithEndpoint("us-east1-pubsub.googleapis.com:443"))
	if err != nil {
		fmt.Fprintf(w, "pubsub.NewClient: %v", err)
		return
	}
	defer client.Close()

	var wg sync.WaitGroup
	var totalErrors uint64
	t := client.Topic(topicID)
	t.EnableMessageOrdering = true

	messages := []struct {
		message     string
		orderingKey string
	}{
		{
			message:     "message1",
			orderingKey: "key1",
		},
		{
			message:     "message2",
			orderingKey: "key2",
		},
		{
			message:     "message3",
			orderingKey: "key1",
		},
		{
			message:     "message4",
			orderingKey: "key2",
		},
	}

	for _, m := range messages {
		res := t.Publish(ctx, &pubsub.Message{
			Data:        []byte(m.message),
			OrderingKey: m.orderingKey,
		})

		wg.Add(1)
		go func(res *pubsub.PublishResult) {
			defer wg.Done()
			// The Get method blocks until a server-generated ID or
			// an error is returned for the published message.
			_, err := res.Get(ctx)
			if err != nil {
				// Error handling code can be added here.
				fmt.Printf("Failed to publish: %s\n", err)
				atomic.AddUint64(&totalErrors, 1)
				return
			}
		}(res)
	}

	wg.Wait()

	if totalErrors > 0 {
		fmt.Fprintf(w, "%d of 4 messages did not publish successfully", totalErrors)
		return
	}

	fmt.Fprint(w, "Published 4 messages with ordering keys successfully\n")
}

Java

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import com.google.api.core.ApiFuture;
import com.google.api.core.ApiFutureCallback;
import com.google.api.core.ApiFutures;
import com.google.api.gax.rpc.ApiException;
import com.google.cloud.pubsub.v1.Publisher;
import com.google.common.util.concurrent.MoreExecutors;
import com.google.protobuf.ByteString;
import com.google.pubsub.v1.PubsubMessage;
import com.google.pubsub.v1.TopicName;
import java.io.IOException;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.concurrent.TimeUnit;

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

    publishWithOrderingKeysExample(projectId, topicId);
  }

  public static void publishWithOrderingKeysExample(String projectId, String topicId)
      throws IOException, InterruptedException {
    TopicName topicName = TopicName.of(projectId, topicId);
    // Create a publisher and set message ordering to true.
    Publisher publisher =
        Publisher.newBuilder(topicName)
            // Sending messages to the same region ensures they are received in order
            // even when multiple publishers are used.
            .setEndpoint("us-east1-pubsub.googleapis.com:443")
            .setEnableMessageOrdering(true)
            .build();

    try {
      Map<String, String> messages = new LinkedHashMap<String, String>();
      messages.put("message1", "key1");
      messages.put("message2", "key2");
      messages.put("message3", "key1");
      messages.put("message4", "key2");

      for (Map.Entry<String, String> entry : messages.entrySet()) {
        ByteString data = ByteString.copyFromUtf8(entry.getKey());
        PubsubMessage pubsubMessage =
            PubsubMessage.newBuilder().setData(data).setOrderingKey(entry.getValue()).build();
        ApiFuture<String> future = publisher.publish(pubsubMessage);

        // Add an asynchronous callback to handle publish success / failure.
        ApiFutures.addCallback(
            future,
            new ApiFutureCallback<String>() {

              @Override
              public void onFailure(Throwable throwable) {
                if (throwable instanceof ApiException) {
                  ApiException apiException = ((ApiException) throwable);
                  // Details on the API exception.
                  System.out.println(apiException.getStatusCode().getCode());
                  System.out.println(apiException.isRetryable());
                }
                System.out.println("Error publishing message : " + pubsubMessage.getData());
              }

              @Override
              public void onSuccess(String messageId) {
                // Once published, returns server-assigned message ids (unique within the topic).
                System.out.println(pubsubMessage.getData() + " : " + messageId);
              }
            },
            MoreExecutors.directExecutor());
      }
    } finally {
      // When finished with the publisher, shutdown to free up resources.
      publisher.shutdown();
      publisher.awaitTermination(1, TimeUnit.MINUTES);
    }
  }
}

Node.js

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/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const topicNameOrId = 'YOUR_TOPIC_NAME_OR_ID';
// const data = JSON.stringify({foo: 'bar'});
// const orderingKey = 'key1';

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

// Creates a client; cache this for further use
const pubSubClient = new PubSub({
  // Sending messages to the same region ensures they are received in order
  // even when multiple publishers are used.
  apiEndpoint: 'us-east1-pubsub.googleapis.com:443',
});

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

  // Be sure to set an ordering key that matches other messages
  // you want to receive in order, relative to each other.
  const message = {
    data: dataBuffer,
    orderingKey: orderingKey,
  };

  const publishOptions = {
    messageOrdering: true,
  };

  // Publishes the message
  const messageId = await pubSubClient
    .topic(topicNameOrId, publishOptions)
    .publishMessage(message);

  console.log(`Message ${messageId} published.`);

  return messageId;
}

Python

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from google.cloud import pubsub_v1

# TODO(developer): Choose an existing topic.
# project_id = "your-project-id"
# topic_id = "your-topic-id"

publisher_options = pubsub_v1.types.PublisherOptions(enable_message_ordering=True)
# Sending messages to the same region ensures they are received in order
# even when multiple publishers are used.
client_options = {"api_endpoint": "us-east1-pubsub.googleapis.com:443"}
publisher = pubsub_v1.PublisherClient(
    publisher_options=publisher_options, client_options=client_options
)
# The `topic_path` method creates a fully qualified identifier
# in the form `projects/{project_id}/topics/{topic_id}`
topic_path = publisher.topic_path(project_id, topic_id)

for message in [
    ("message1", "key1"),
    ("message2", "key2"),
    ("message3", "key1"),
    ("message4", "key2"),
]:
    # Data must be a bytestring
    data = message[0].encode("utf-8")
    ordering_key = message[1]
    # When you publish a message, the client returns a future.
    future = publisher.publish(topic_path, data=data, ordering_key=ordering_key)
    print(future.result())

print(f"Published messages with ordering keys to {topic_path}.")

Ruby

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# topic_id = "your-topic-id"
require "google/cloud/pubsub"

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
}
topic.enable_message_ordering!
10.times do |i|
  topic.publish_async "This is message \##{i}.",
                      ordering_key: "ordering-key"
end

# Stop the async_publisher to send all queued messages immediately.
topic.async_publisher.stop!
puts "Messages published with ordering key."

Se la pubblicazione con una chiave di ordinamento non riesce, i messaggi in coda della stessa chiave di ordinamento nel publisher non andranno a buon fine, incluse le richieste di pubblicazione future di questa chiave di ordinamento. Devi riprendere la pubblicazione con le chiavi di ordinamento quando si verificano questi errori. Per un esempio di ripresa dell'operazione di pubblicazione, consulta la pagina Riprovare le richieste con chiavi di ordinamento.

Usa lo schema

Puoi pubblicare messaggi in un argomento associato a uno schema. Per scoprire di più, vedi Creare e gestire gli schemi. Devi codificare i messaggi nello schema e nel formato specificati quando hai creato l'argomento.

C++

Avro

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namespace pubsub = ::google::cloud::pubsub;
using ::google::cloud::future;
using ::google::cloud::StatusOr;
[](pubsub::Publisher publisher) {
  auto constexpr kNewYork =
      R"js({ "name": "New York", "post_abbr": "NY" })js";
  auto constexpr kPennsylvania =
      R"js({ "name": "Pennsylvania", "post_abbr": "PA" })js";
  std::vector<future<void>> done;
  auto handler = [](future<StatusOr<std::string>> f) {
    auto id = f.get();
    if (!id) throw std::move(id).status();
  };
  for (auto const* data : {kNewYork, kPennsylvania}) {
    done.push_back(
        publisher.Publish(pubsub::MessageBuilder{}.SetData(data).Build())
            .then(handler));
  }
  // Block until all messages are published.
  for (auto& d : done) d.get();
}

Protocollo

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namespace pubsub = ::google::cloud::pubsub;
using ::google::cloud::future;
using ::google::cloud::StatusOr;
[](pubsub::Publisher publisher) {
  std::vector<std::pair<std::string, std::string>> states{
      {"New York", "NY"},
      {"Pennsylvania", "PA"},
  };
  std::vector<future<void>> done;
  auto handler = [](future<StatusOr<std::string>> f) {
    auto id = f.get();
    if (!id) throw std::move(id).status();
  };
  for (auto& data : states) {
    google::cloud::pubsub::samples::State state;
    state.set_name(data.first);
    state.set_post_abbr(data.second);
    done.push_back(publisher
                       .Publish(pubsub::MessageBuilder{}
                                    .SetData(state.SerializeAsString())
                                    .Build())
                       .then(handler));
  }
  // Block until all messages are published.
  for (auto& d : done) d.get();
}

C#

Avro

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using Avro.IO;
using Avro.Specific;
using Google.Cloud.PubSub.V1;
using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;

public class PublishAvroMessagesAsyncSample
{
    public async Task<int> PublishAvroMessagesAsync(string projectId, string topicId, IEnumerable<AvroUtilities.State> messageStates)
    {
        TopicName topicName = TopicName.FromProjectTopic(projectId, topicId);
        PublisherClient publisher = await PublisherClient.CreateAsync(topicName);

        PublisherServiceApiClient publishApi = PublisherServiceApiClient.Create();
        var topic = publishApi.GetTopic(topicName);

        int publishedMessageCount = 0;
        var publishTasks = messageStates.Select(async state =>
        {

            try
            {
                string messageId = null;
                switch (topic.SchemaSettings.Encoding)
                {
                    case Encoding.Binary:
                        using (var ms = new MemoryStream())
                        {
                            var encoder = new BinaryEncoder(ms);
                            var writer = new SpecificDefaultWriter(state.Schema);
                            writer.Write(state, encoder);
                            messageId = await publisher.PublishAsync(ms.ToArray());
                        }
                        break;
                    case Encoding.Json:
                        var jsonMessage = AvroUtilities.StateUtils.StateToJsonString(state);
                        messageId = await publisher.PublishAsync(jsonMessage);
                        break;
                }
                Console.WriteLine($"Published message {messageId}");
                Interlocked.Increment(ref publishedMessageCount);
            }
            catch (Exception exception)
            {
                Console.WriteLine($"An error ocurred when publishing message {state}: {exception.Message}");
            }
        });
        await Task.WhenAll(publishTasks);
        return publishedMessageCount;
    }
}

Protocollo

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

public class PublishProtoMessagesAsyncSample
{
    public async Task<int> PublishProtoMessagesAsync(string projectId, string topicId, IEnumerable<Utilities.State> messageStates)
    {
        TopicName topicName = TopicName.FromProjectTopic(projectId, topicId);
        PublisherClient publisher = await PublisherClient.CreateAsync(topicName);

        PublisherServiceApiClient publishApi = PublisherServiceApiClient.Create();
        var topic = publishApi.GetTopic(topicName);

        int publishedMessageCount = 0;
        var publishTasks = messageStates.Select(async state =>
        {
            try
            {
                string messageId = null;
                switch (topic.SchemaSettings.Encoding)
                {
                    case Encoding.Binary:
                        var binaryMessage = state.ToByteString();
                        messageId = await publisher.PublishAsync(binaryMessage);
                        break;
                    case Encoding.Json:
                        var jsonMessage = JsonFormatter.Default.Format(state);
                        messageId = await publisher.PublishAsync(jsonMessage);
                        break;
                }
                Console.WriteLine($"Published message {messageId}");
                Interlocked.Increment(ref publishedMessageCount);
            }
            catch (Exception exception)
            {
                Console.WriteLine($"An error ocurred when publishing message {state}: {exception.Message}");
            }
        });
        await Task.WhenAll(publishTasks);
        return publishedMessageCount;
    }
}

Go

Avro

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import (
	"context"
	"fmt"
	"io"
	"os"

	"cloud.google.com/go/pubsub"
	"github.com/linkedin/goavro/v2"
)

func publishAvroRecords(w io.Writer, projectID, topicID, avscFile string) error {
	// projectID := "my-project-id"
	// topicID := "my-topic"
	// avscFile = "path/to/an/avro/schema/file(.avsc)/formatted/in/json"
	ctx := context.Background()
	client, err := pubsub.NewClient(ctx, projectID)
	if err != nil {
		return fmt.Errorf("pubsub.NewClient: %v", err)
	}

	avroSource, err := os.ReadFile(avscFile)
	if err != nil {
		return fmt.Errorf("ioutil.ReadFile err: %v", err)
	}
	codec, err := goavro.NewCodec(string(avroSource))
	if err != nil {
		return fmt.Errorf("goavro.NewCodec err: %v", err)
	}
	record := map[string]interface{}{"name": "Alaska", "post_abbr": "AK"}

	// Get the topic encoding type.
	t := client.Topic(topicID)
	cfg, err := t.Config(ctx)
	if err != nil {
		return fmt.Errorf("topic.Config err: %v", err)
	}
	encoding := cfg.SchemaSettings.Encoding

	var msg []byte
	switch encoding {
	case pubsub.EncodingBinary:
		msg, err = codec.BinaryFromNative(nil, record)
		if err != nil {
			return fmt.Errorf("codec.BinaryFromNative err: %v", err)
		}
	case pubsub.EncodingJSON:
		msg, err = codec.TextualFromNative(nil, record)
		if err != nil {
			return fmt.Errorf("codec.TextualFromNative err: %v", err)
		}
	default:
		return fmt.Errorf("invalid encoding: %v", encoding)
	}

	result := t.Publish(ctx, &pubsub.Message{
		Data: msg,
	})
	_, err = result.Get(ctx)
	if err != nil {
		return fmt.Errorf("result.Get: %v", err)
	}
	fmt.Fprintf(w, "Published avro record: %s\n", string(msg))
	return nil
}

Protocollo

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import (
	"context"
	"fmt"
	"io"

	"cloud.google.com/go/pubsub"
	statepb "github.com/GoogleCloudPlatform/golang-samples/internal/pubsub/schemas"
	"google.golang.org/protobuf/encoding/protojson"
	"google.golang.org/protobuf/proto"
)

func publishProtoMessages(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: %v", err)
	}

	state := &statepb.State{
		Name:     "Alaska",
		PostAbbr: "AK",
	}

	// Get the topic encoding type.
	t := client.Topic(topicID)
	cfg, err := t.Config(ctx)
	if err != nil {
		return fmt.Errorf("topic.Config err: %v", err)
	}
	encoding := cfg.SchemaSettings.Encoding

	var msg []byte
	switch encoding {
	case pubsub.EncodingBinary:
		msg, err = proto.Marshal(state)
		if err != nil {
			return fmt.Errorf("proto.Marshal err: %v", err)
		}
	case pubsub.EncodingJSON:
		msg, err = protojson.Marshal(state)
		if err != nil {
			return fmt.Errorf("protojson.Marshal err: %v", err)
		}
	default:
		return fmt.Errorf("invalid encoding: %v", encoding)
	}

	result := t.Publish(ctx, &pubsub.Message{
		Data: msg,
	})
	_, err = result.Get(ctx)
	if err != nil {
		return fmt.Errorf("result.Get: %v", err)
	}
	fmt.Fprintf(w, "Published proto message with %#v encoding: %s\n", encoding, string(msg))
	return nil
}

Java

Avro

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import com.google.api.core.ApiFuture;
import com.google.cloud.pubsub.v1.Publisher;
import com.google.cloud.pubsub.v1.TopicAdminClient;
import com.google.protobuf.ByteString;
import com.google.pubsub.v1.Encoding;
import com.google.pubsub.v1.PubsubMessage;
import com.google.pubsub.v1.TopicName;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import org.apache.avro.io.Encoder;
import org.apache.avro.io.EncoderFactory;
import utilities.State;

public class PublishAvroRecordsExample {

  public static void main(String... args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    // Use a topic created with an Avro schema.
    String topicId = "your-topic-id";

    publishAvroRecordsExample(projectId, topicId);
  }

  public static void publishAvroRecordsExample(String projectId, String topicId)
      throws IOException, ExecutionException, InterruptedException {

    Encoding encoding = null;

    TopicName topicName = TopicName.of(projectId, topicId);

    // Get the topic encoding type.
    try (TopicAdminClient topicAdminClient = TopicAdminClient.create()) {
      encoding = topicAdminClient.getTopic(topicName).getSchemaSettings().getEncoding();
    }

    // Instantiate an avro-tools-generated class defined in `us-states.avsc`.
    State state = State.newBuilder().setName("Alaska").setPostAbbr("AK").build();

    Publisher publisher = null;

    block:
    try {
      publisher = Publisher.newBuilder(topicName).build();

      // Prepare to serialize the object to the output stream.
      ByteArrayOutputStream byteStream = new ByteArrayOutputStream();

      Encoder encoder = null;

      // Prepare an appropriate encoder for publishing to the topic.
      switch (encoding) {
        case BINARY:
          System.out.println("Preparing a BINARY encoder...");
          encoder = EncoderFactory.get().directBinaryEncoder(byteStream, /*reuse=*/ null);
          break;

        case JSON:
          System.out.println("Preparing a JSON encoder...");
          encoder = EncoderFactory.get().jsonEncoder(State.getClassSchema(), byteStream);
          break;

        default:
          break block;
      }

      // Encode the object and write it to the output stream.
      state.customEncode(encoder);
      encoder.flush();

      // Publish the encoded object as a Pub/Sub message.
      ByteString data = ByteString.copyFrom(byteStream.toByteArray());
      PubsubMessage message = PubsubMessage.newBuilder().setData(data).build();
      System.out.println("Publishing message: " + message);

      ApiFuture<String> future = publisher.publish(message);
      System.out.println("Published message ID: " + future.get());

    } finally {
      if (publisher != null) {
        publisher.shutdown();
        publisher.awaitTermination(1, TimeUnit.MINUTES);
      }
    }
  }
}

Protocollo

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import com.google.api.core.ApiFuture;
import com.google.cloud.pubsub.v1.Publisher;
import com.google.cloud.pubsub.v1.TopicAdminClient;
import com.google.protobuf.ByteString;
import com.google.protobuf.util.JsonFormat;
import com.google.pubsub.v1.Encoding;
import com.google.pubsub.v1.PubsubMessage;
import com.google.pubsub.v1.TopicName;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import utilities.StateProto.State;

public class PublishProtobufMessagesExample {

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

    publishProtobufMessagesExample(projectId, topicId);
  }

  public static void publishProtobufMessagesExample(String projectId, String topicId)
      throws IOException, ExecutionException, InterruptedException {

    Encoding encoding = null;

    TopicName topicName = TopicName.of(projectId, topicId);

    // Get the topic encoding type.
    try (TopicAdminClient topicAdminClient = TopicAdminClient.create()) {
      encoding = topicAdminClient.getTopic(topicName).getSchemaSettings().getEncoding();
    }

    Publisher publisher = null;

    // Instantiate a protoc-generated class defined in `us-states.proto`.
    State state = State.newBuilder().setName("Alaska").setPostAbbr("AK").build();

    block:
    try {
      publisher = Publisher.newBuilder(topicName).build();

      PubsubMessage.Builder message = PubsubMessage.newBuilder();

      // Prepare an appropriately formatted message based on topic encoding.
      switch (encoding) {
        case BINARY:
          message.setData(state.toByteString());
          System.out.println("Publishing a BINARY-formatted message:\n" + message);
          break;

        case JSON:
          String jsonString = JsonFormat.printer().omittingInsignificantWhitespace().print(state);
          message.setData(ByteString.copyFromUtf8(jsonString));
          System.out.println("Publishing a JSON-formatted message:\n" + message);
          break;

        default:
          break block;
      }

      // Publish the message.
      ApiFuture<String> future = publisher.publish(message.build());
      System.out.println("Published message ID: " + future.get());

    } finally {
      if (publisher != null) {
        publisher.shutdown();
        publisher.awaitTermination(1, TimeUnit.MINUTES);
      }
    }
  }
}

Node.js

Avro

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/**
 * TODO(developer): Uncomment this variable before running the sample.
 */
// const topicNameOrId = 'YOUR_TOPIC_NAME_OR_ID';

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

// And the Apache Avro library
const avro = require('avro-js');
const fs = require('fs');

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

async function publishAvroRecords(topicNameOrId) {
  // Get the topic metadata to learn about its schema encoding.
  const topic = pubSubClient.topic(topicNameOrId);
  const [topicMetadata] = await topic.getMetadata();
  const topicSchemaMetadata = topicMetadata.schemaSettings;

  if (!topicSchemaMetadata) {
    console.log(`Topic ${topicNameOrId} doesn't seem to have a schema.`);
    return;
  }
  const schemaEncoding = topicSchemaMetadata.encoding;

  // Make an encoder using the official avro-js library.
  const definition = fs
    .readFileSync('system-test/fixtures/provinces.avsc')
    .toString();
  const type = avro.parse(definition);

  // Encode the message.
  const province = {
    name: 'Ontario',
    post_abbr: 'ON',
  };
  let dataBuffer;
  switch (schemaEncoding) {
    case Encodings.Binary:
      dataBuffer = type.toBuffer(province);
      break;
    case Encodings.Json:
      dataBuffer = Buffer.from(type.toString(province));
      break;
    default:
      console.log(`Unknown schema encoding: ${schemaEncoding}`);
      break;
  }

  if (!dataBuffer) {
    console.log(`Invalid encoding ${schemaEncoding} on the topic.`);
    return;
  }

  const messageId = await topic.publish(dataBuffer);
  console.log(`Avro record ${messageId} published.`);
}

Buffer di protocollo

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/**
 * TODO(developer): Uncomment this variable before running the sample.
 */
// const topicNameOrId = 'YOUR_TOPIC_NAME_OR_ID';

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

// And the protobufjs library
const protobuf = require('protobufjs');

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

async function publishProtobufMessages(topicNameOrId) {
  // Get the topic metadata to learn about its schema.
  const topic = pubSubClient.topic(topicNameOrId);
  const [topicMetadata] = await topic.getMetadata();
  const topicSchemaMetadata = topicMetadata.schemaSettings;

  if (!topicSchemaMetadata) {
    console.log(`Topic ${topicNameOrId} doesn't seem to have a schema.`);
    return;
  }
  const schemaEncoding = topicSchemaMetadata.encoding;

  // Encode the message.
  const province = {
    name: 'Ontario',
    postAbbr: 'ON',
  };

  // Make an encoder using the protobufjs library.
  //
  // Since we're providing the test message for a specific schema here, we'll
  // also code in the path to a sample proto definition.
  const root = await protobuf.load('system-test/fixtures/provinces.proto');
  const Province = root.lookupType('utilities.Province');
  const message = Province.create(province);

  let dataBuffer;
  switch (schemaEncoding) {
    case Encodings.Binary:
      dataBuffer = Buffer.from(Province.encode(message).finish());
      break;
    case Encodings.Json:
      dataBuffer = Buffer.from(JSON.stringify(message.toJSON()));
      break;
    default:
      console.log(`Unknown schema encoding: ${schemaEncoding}`);
      break;
  }

  if (!dataBuffer) {
    console.log(`Invalid encoding ${schemaEncoding} on the topic.`);
    return;
  }

  const messageId = await topic.publish(dataBuffer);
  console.log(`Protobuf message ${messageId} published.`);
}

PHP

Avro

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use Google\Cloud\PubSub\PubSubClient;
use Google\Cloud\PubSub\V1\Encoding;

use AvroStringIO;
use AvroSchema;
use AvroIODatumWriter;
use AvroDataIOWriter;

/**
 * Publish a message using an AVRO schema.
 *
 * This sample uses `wikimedia/avro` for AVRO encoding.
 *
 * @param string $projectId
 * @param string $topicId
 * @param string $definitionFile
 * @return void
 */
function publish_avro_records($projectId, $topicId, $definitionFile)
{
    $pubsub = new PubSubClient([
        'projectId' => $projectId,
    ]);

    $definition = file_get_contents($definitionFile);

    $messageData = [
        'name' => 'Alaska',
        'post_abbr' => 'AK',
    ];

    $topic = $pubsub->topic($topicId);

    // get the encoding type.
    $topicInfo = $topic->info();
    $encoding = '';
    if (isset($topicInfo['schemaSettings']['encoding'])) {
        $encoding = $topicInfo['schemaSettings']['encoding'];
    }

    // if encoding is not set, we can't continue.
    if ($encoding === '') {
        printf('Topic %s does not have schema enabled', $topicId);
        return;
    }

    // If you are using gRPC, encoding may be an integer corresponding to an
    // enum value on Google\Cloud\PubSub\V1\Encoding.
    if (!is_string($encoding)) {
        $encoding = Encoding::name($encoding);
    }

    $encodedMessageData = '';
    if ($encoding == 'BINARY') {
        // encode as AVRO binary.
        $io = new AvroStringIO();
        $schema = AvroSchema::parse($definition);
        $writer = new AvroIODatumWriter($schema);
        $dataWriter = new AvroDataIOWriter($io, $writer, $schema);

        $dataWriter->append($messageData);

        $dataWriter->close();

        // AVRO binary data must be base64-encoded.
        $encodedMessageData = base64_encode($io->string());
    } else {
        // encode as JSON.
        $encodedMessageData = json_encode($messageData);
    }

    $topic->publish(['data' => $encodedMessageData]);

    printf('Published message with %s encoding', $encoding);
}

Buffer di protocollo

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use Google\Cloud\PubSub\PubSubClient;
use Google\Cloud\PubSub\V1\Encoding;

use Utilities\StateProto;

/**
 * Publish a message using a protocol buffer schema.
 *
 * Relies on a proto message of the following form:
 * ```
 * syntax = "proto3";
 *
 * package utilities;
 *
 * message StateProto {
 *   string name = 1;
 *   string post_abbr = 2;
 * }
 * ```
 *
 * @param string $projectId
 * @param string $topicId
 * @return void
 */
function publish_proto_messages($projectId, $topicId)
{
    $pubsub = new PubSubClient([
        'projectId' => $projectId,
    ]);

    $messageData = new StateProto([
        'name' => 'Alaska',
        'post_abbr' => 'AK',
    ]);

    $topic = $pubsub->topic($topicId);

    // get the encoding type.
    $topicInfo = $topic->info();
    $encoding = '';
    if (isset($topicInfo['schemaSettings']['encoding'])) {
        $encoding = $topicInfo['schemaSettings']['encoding'];
    }

    // if encoding is not set, we can't continue.
    if ($encoding === '') {
        printf('Topic %s does not have schema enabled', $topicId);
        return;
    }

    // If you are using gRPC, encoding may be an integer corresponding to an
    // enum value on Google\Cloud\PubSub\V1\Encoding.
    if (!is_string($encoding)) {
        $encoding = Encoding::name($encoding);
    }

    $encodedMessageData = '';
    if ($encoding == 'BINARY') {
        // encode as protobuf binary.
        $encodedMessageData = $messageData->serializeToString();
    } else {
        // encode as JSON.
        $encodedMessageData = $messageData->serializeToJsonString();
    }

    $topic->publish(['data' => $encodedMessageData]);

    printf('Published message with %s encoding', $encoding);
}

Python

Avro

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from avro.io import BinaryEncoder, DatumWriter
import avro.schema as schema
import io
import json
from google.api_core.exceptions import NotFound
from google.cloud.pubsub import PublisherClient
from google.pubsub_v1.types import Encoding

# TODO(developer): Replace these variables before running the sample.
# project_id = "your-project-id"
# topic_id = "your-topic-id"
# avsc_file = "path/to/an/avro/schema/file/(.avsc)/formatted/in/json"

publisher_client = PublisherClient()
topic_path = publisher_client.topic_path(project_id, topic_id)

# Prepare to write Avro records to the binary output stream.
avro_schema = schema.parse(open(avsc_file, "rb").read())
writer = DatumWriter(avro_schema)
bout = io.BytesIO()

# Prepare some data using a Python dictionary that matches the Avro schema
record = {"name": "Alaska", "post_abbr": "AK"}

try:
    # Get the topic encoding type.
    topic = publisher_client.get_topic(request={"topic": topic_path})
    encoding = topic.schema_settings.encoding

    # Encode the data according to the message serialization type.
    if encoding == Encoding.BINARY:
        encoder = BinaryEncoder(bout)
        writer.write(record, encoder)
        data = bout.getvalue()
        print(f"Preparing a binary-encoded message:\n{data.decode()}")
    elif encoding == Encoding.JSON:
        data_str = json.dumps(record)
        print(f"Preparing a JSON-encoded message:\n{data_str}")
        data = data_str.encode("utf-8")
    else:
        print(f"No encoding specified in {topic_path}. Abort.")
        exit(0)

    future = publisher_client.publish(topic_path, data)
    print(f"Published message ID: {future.result()}")

except NotFound:
    print(f"{topic_id} not found.")

Buffer di protocollo

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from google.api_core.exceptions import NotFound
from google.cloud.pubsub import PublisherClient
from google.protobuf.json_format import MessageToJson
from google.pubsub_v1.types import Encoding

from utilities import us_states_pb2  # type: ignore

# TODO(developer): Replace these variables before running the sample.
# project_id = "your-project-id"
# topic_id = "your-topic-id"

publisher_client = PublisherClient()
topic_path = publisher_client.topic_path(project_id, topic_id)

try:
    # Get the topic encoding type.
    topic = publisher_client.get_topic(request={"topic": topic_path})
    encoding = topic.schema_settings.encoding

    # Instantiate a protoc-generated class defined in `us-states.proto`.
    state = us_states_pb2.StateProto()
    state.name = "Alaska"
    state.post_abbr = "AK"

    # Encode the data according to the message serialization type.
    if encoding == Encoding.BINARY:
        data = state.SerializeToString()
        print(f"Preparing a binary-encoded message:\n{data}")
    elif encoding == Encoding.JSON:
        json_object = MessageToJson(state)
        data = str(json_object).encode("utf-8")
        print(f"Preparing a JSON-encoded message:\n{data}")
    else:
        print(f"No encoding specified in {topic_path}. Abort.")
        exit(0)

    future = publisher_client.publish(topic_path, data)
    print(f"Published message ID: {future.result()}")

except NotFound:
    print(f"{topic_id} not found.")

Ruby

Avro

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# topic_id = "your-topic-id"
# avsc_file = "path/to/an/avro/schema/file/(.avsc)/formatted/in/json"
require "google/cloud/pubsub"

pubsub = Google::Cloud::Pubsub.new

topic = pubsub.topic topic_id

record = { "name" => "Alaska", "post_abbr" => "AK" }

if topic.message_encoding_binary?
  require "avro"
  avro_schema = Avro::Schema.parse File.read(avsc_file)
  writer = Avro::IO::DatumWriter.new avro_schema
  buffer = StringIO.new
  encoder = Avro::IO::BinaryEncoder.new buffer
  writer.write record, encoder
  topic.publish buffer
  puts "Published binary-encoded AVRO message."
elsif topic.message_encoding_json?
  require "json"
  topic.publish record.to_json
  puts "Published JSON-encoded AVRO message."
else
  raise "No encoding specified in #{topic.name}."
end

Buffer di protocollo

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# topic_id = "your-topic-id"
require "google/cloud/pubsub"
require_relative "utilities/us-states_pb"

pubsub = Google::Cloud::Pubsub.new

topic = pubsub.topic topic_id

state = Utilities::StateProto.new name: "Alaska", post_abbr: "AK"

if topic.message_encoding_binary?
  topic.publish Utilities::StateProto.encode(state)
  puts "Published binary-encoded protobuf message."
elsif topic.message_encoding_json?
  topic.publish Utilities::StateProto.encode_json(state)
  puts "Published JSON-encoded protobuf message."
else
  raise "No encoding specified in #{topic.name}."
end

Messaggi collettivi in una richiesta di pubblicazione

Puoi utilizzare la libreria client Pub/Sub del tuo publisher per pubblicare messaggi in un argomento. La libreria client utilizza la funzionalità batch per pubblicare più messaggi insieme in una chiamata di servizio. Il raggruppamento o il raggruppamento di messaggi aiuta Pub/Sub a raggiungere una velocità effettiva più elevata dei messaggi. È possibile regolare le dimensioni del batch in base alle proprie esigenze aziendali.

In una libreria client è abilitata per impostazione predefinita la messaggistica batch. La messaggistica batch crea latenza per i singoli messaggi. I singoli messaggi devono essere messi in coda in memoria fino al completamento del corrispondente batch. Solo allora, i messaggi verranno pubblicati nell'argomento.

Se il costo non è considerato ai fini della considerazione, puoi creare più client publisher e disattivare i messaggi in batch. Questo processo riduce al minimo la latenza e massimizza la velocità effettiva scalando orizzontalmente sul numero di publisher. Tuttavia, il costo è spesso una considerazione. Inviare più messaggi in una singola richiesta di pubblicazione è un modo per raggiungere la velocità effettiva equivalente con meno publisher. Se siete disposti a scambiare una latenza per il risparmio sui costi, specialmente se la vostra applicazione gestisce un numero abbastanza elevato di messaggi in un breve periodo di tempo, potete utilizzare i messaggi in batch.

La messaggistica batch consente di configurare le dimensioni del batch in byte o il numero di messaggi e anche l'ora dopo la quale questo viene pubblicato. Piccoli gruppi di messaggi durante i momenti di picco della pubblicazione possono aiutarti a controllare la latenza.

Configurare la messaggistica batch in una libreria client

Puoi raggruppare i messaggi in base alle dimensioni della richiesta, al numero di messaggi e all'ora. I valori predefiniti per le variabili di messaggistica batch e i nomi delle variabili potrebbero variare nelle librerie client. Ad esempio, nella libreria client Python, le seguenti variabili controllano la messaggistica in batch:

Variabile	Descrizione	Valore
max_messages	Il numero di messaggi di un gruppo.	Valore predefinito=100
max_byte	Le dimensioni massime di un batch in MB.	Valore predefinito=1 MB
latenza_massima	L'ora dopo la quale viene pubblicato un batch, anche se non è stato riempito.	Predefinito=10 ms

Puoi specificare uno o tutti e tre i valori nella libreria client. Se uno dei valori delle variabili di messaggistica batch viene soddisfatto, la libreria client pubblica il gruppo di messaggi successivo.

Consulta i seguenti esempi di codice per scoprire come configurare le impostazioni di messaggistica batch per il tuo editore.

C++

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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#

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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

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

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

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: %v", err)
	}
	defer client.Close()
	var results []*pubsub.PublishResult
	var resultErrors []error
	t := client.Topic(topicID)
	t.PublishSettings.ByteThreshold = 5000
	t.PublishSettings.CountThreshold = 10
	t.PublishSettings.DelayThreshold = 100 * time.Millisecond

	for i := 0; i < 10; i++ {
		result := t.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

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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

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/**
 * 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);

  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);
}

PHP

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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

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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

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# topic_id = "your-topic-id"
require "google/cloud/pubsub"

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."

Disattiva la messaggistica collettiva

Per disattivare il batch nella libreria client, imposta max_messages su 1.

Messaggi collettivi e recapito ordinato

Se la consegna è ordinata, se non si conferma alcun messaggio nel batch, tutti i messaggi del batch, inclusi quelli inviati prima del messaggio non confermato, vengono riconsegnati.

Quote e limiti per i messaggi in batch

Prima di configurare la messaggistica batch, considera l'effetto di fattori quali la quota di velocità effettiva di pubblicazione e la dimensione massima di un batch. Le librerie client di alto livello assicurano che le richieste batch vengano mantenute entro i limiti specificati.

1000 byte è la dimensione minima della richiesta considerata ai fini dei costi, anche se la dimensione effettiva del messaggio potrebbe essere inferiore a 1000 byte.
Pub/Sub ha un limite di 10 MB o di 1000 messaggi per una singola richiesta di pubblicazione in batch.

Per ulteriori informazioni, consulta Quote e limiti di Pub/Sub.

Comprimi messaggi

Se utilizzi Pub/Sub per pubblicare messaggi che corrispondono a una quantità elevata di dati, puoi utilizzare gRPC per comprimere i dati per risparmiare sui costi di networking prima che il client dell'editore invii la richiesta di pubblicazione. La compressione Pub/Sub per gRPC utilizza l'algoritmo Gzip.

Il rapporto di compressione dell'utilizzo della funzionalità di compressione lato client gRPC è diverso per i vari client di publisher e dipende dai seguenti fattori:

Quantità di dati. Il rapporto di compressione migliora quando le dimensioni del payload aumentano da alcune centinaia a byte e molti kilobyte di dati. Le impostazioni batch di una richiesta di pubblicazione determinano la quantità di dati inclusa in ogni richiesta di pubblicazione. Per ottenere i risultati migliori, ti consigliamo di attivare le impostazioni batch in combinazione con la compressione gRPC.
Tipo di dati. I dati basati su testo, come JSON o XML, sono più comprimibili rispetto ai dati binari, come le immagini.

Se il tuo client publisher è su Google Cloud, puoi utilizzare la metrica Byte inviati (instance/network/sent_bytes_count) per misurare la velocità effettiva di pubblicazione in byte. Se il client del publisher utilizza un'applicazione diversa, devi utilizzare gli strumenti specifici del client per effettuare la misurazione.

L'esempio di codice in questa sezione mostra uno snippet di codice della libreria client Java di esempio che include anche la compressione gRPC.

C++

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namespace g = ::google::cloud;
namespace pubsub = ::google::cloud::pubsub;
[](std::string project_id, std::string topic_id) {
  auto topic = pubsub::Topic(std::move(project_id), std::move(topic_id));
  auto publisher = pubsub::Publisher(pubsub::MakePublisherConnection(
      std::move(topic),
      g::Options{}
          // Compress any batch of messages over 10 bytes. By default, no
          // messages are compressed, set this to 0 to compress all batches,
          // regardless of their size.
          .set<pubsub::CompressionThresholdOption>(10)
          // Compress using the GZIP algorithm. By default, the library uses
          // GRPC_COMPRESS_DEFLATE.
          .set<pubsub::CompressionAlgorithmOption>(GRPC_COMPRESS_GZIP)));
  auto message_id = publisher.Publish(
      pubsub::MessageBuilder{}.SetData("Hello World!").Build());
  auto done = message_id.then([](g::future<g::StatusOr<std::string>> f) {
    auto id = f.get();
    if (!id) throw std::move(id).status();
    std::cout << "Hello World! published with id=" << *id << "\n";
  });
  // Block until the message is published
  done.get();
}

Java

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import com.google.api.core.ApiFuture;
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.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;

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

    publishWithGrpcCompressionExample(projectId, topicId);
  }

  public static void publishWithGrpcCompressionExample(String projectId, String topicId)
      throws IOException, ExecutionException, InterruptedException {
    TopicName topicName = TopicName.of(projectId, topicId);

    // Create a publisher and set enable compression to true.
    Publisher publisher = null;
    try {
      // Enable compression and configure the compression threshold to 10 bytes (default to 240 B).
      // Publish requests of sizes > 10 B (excluding the request headers) will get compressed.
      // The number of messages in a publish request is determined by publisher batch settings.
      // Batching is turned off by default, i.e. each publish request contains only one message.
      publisher =
          Publisher.newBuilder(topicName)
              .setEnableCompression(true)
              .setCompressionBytesThreshold(10L)
              .build();

      byte[] bytes = new byte[1024];
      ByteString data = ByteString.copyFrom(bytes);
      PubsubMessage pubsubMessage = PubsubMessage.newBuilder().setData(data).build();

      // Once published, returns a server-assigned message id (unique within the topic).
      // You can look up the actual size of the outbound data using the Java Logging API.
      // Configure logging properties as shown in
      // https://github.com/googleapis/java-pubsub/tree/main/samples/snippets/src/main/resources/logging.properties
      // and look for "OUTBOUND DATA" with "length=" in the output log.
      ApiFuture<String> messageIdFuture = publisher.publish(pubsubMessage);
      String messageId = messageIdFuture.get();
      System.out.println("Published a compressed message of message ID: " + messageId);
    } finally {
      if (publisher != null) {
        // When finished with the publisher, shutdown to free up resources.
        publisher.shutdown();
        publisher.awaitTermination(1, TimeUnit.MINUTES);
      }
    }
  }
}

Richieste di nuovi tentativi

Gli errori di pubblicazione vengono ripetuti automaticamente, ad eccezione degli errori che non garantiscono nuovi tentativi. Questo codice campione mostra la creazione di un editore con impostazioni di ripetizione personalizzate (tieni presente che non tutte le librerie client supportano le impostazioni personalizzate dei nuovi tentativi; consulta la documentazione di riferimento dell'API per la lingua scelta):

C++

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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 a publisher will retry for 60 seconds, with an initial backoff
  // of 100ms, a maximum backoff of 60 seconds, and the backoff will grow by
  // 30% after each attempt. This changes those defaults.
  auto publisher = pubsub::Publisher(pubsub::MakePublisherConnection(
      std::move(topic),
      Options{}
          .set<pubsub::RetryPolicyOption>(
              pubsub::LimitedTimeRetryPolicy(
                  /*maximum_duration=*/std::chrono::minutes(10))
                  .clone())
          .set<pubsub::BackoffPolicyOption>(
              pubsub::ExponentialBackoffPolicy(
                  /*initial_delay=*/std::chrono::milliseconds(200),
                  /*maximum_delay=*/std::chrono::seconds(45),
                  /*scaling=*/2.0)
                  .clone())));

  std::vector<future<bool>> done;
  for (char const* data : {"1", "2", "3", "go!"}) {
    done.push_back(
        publisher.Publish(pubsub::MessageBuilder().SetData(data).Build())
            .then([](future<StatusOr<std::string>> f) {
              return f.get().ok();
            }));
  }
  publisher.Flush();
  int count = 0;
  for (auto& f : done) {
    if (f.get()) ++count;
  }
  std::cout << count << " messages sent successfully\n";
}

C#

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using Google.Api.Gax.Grpc;
using Google.Cloud.PubSub.V1;
using Grpc.Core;
using System;
using System.Threading.Tasks;

public class PublishMessageWithRetrySettingsAsyncSample
{
    public async Task PublishMessageWithRetrySettingsAsync(string projectId, string topicId, string messageText)
    {
        TopicName topicName = TopicName.FromProjectTopic(projectId, topicId);
        // Retry settings control how the publisher handles retry-able failures
        var maxAttempts = 3;
        var initialBackoff = TimeSpan.FromMilliseconds(110); // default: 100 ms
        var maxBackoff = TimeSpan.FromSeconds(70); // default : 60 seconds
        var backoffMultiplier = 1.3; // default: 1.0
        var totalTimeout = TimeSpan.FromSeconds(100); // default: 600 seconds

        var publisher = await new PublisherClientBuilder
        {
            TopicName = topicName,
            ApiSettings = new PublisherServiceApiSettings
            {
                PublishSettings = CallSettings.FromRetry(RetrySettings.FromExponentialBackoff(
                               maxAttempts: maxAttempts,
                               initialBackoff: initialBackoff,
                               maxBackoff: maxBackoff,
                               backoffMultiplier: backoffMultiplier,
                               retryFilter: RetrySettings.FilterForStatusCodes(StatusCode.Unavailable)))
                       .WithTimeout(totalTimeout)
            }
        }.BuildAsync();
        string message = await publisher.PublishAsync(messageText);
        Console.WriteLine($"Published message {message}");
    }
}

Java

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import com.google.api.core.ApiFuture;
import com.google.api.gax.retrying.RetrySettings;
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.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import org.threeten.bp.Duration;

public class PublishWithRetrySettingsExample {
  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";

    publishWithRetrySettingsExample(projectId, topicId);
  }

  public static void publishWithRetrySettingsExample(String projectId, String topicId)
      throws IOException, ExecutionException, InterruptedException {
    TopicName topicName = TopicName.of(projectId, topicId);
    Publisher publisher = null;

    try {
      // Retry settings control how the publisher handles retry-able failures
      Duration initialRetryDelay = Duration.ofMillis(100); // default: 100 ms
      double retryDelayMultiplier = 2.0; // back off for repeated failures, default: 1.3
      Duration maxRetryDelay = Duration.ofSeconds(60); // default : 60 seconds
      Duration initialRpcTimeout = Duration.ofSeconds(1); // default: 5 seconds
      double rpcTimeoutMultiplier = 1.0; // default: 1.0
      Duration maxRpcTimeout = Duration.ofSeconds(600); // default: 600 seconds
      Duration totalTimeout = Duration.ofSeconds(600); // default: 600 seconds

      RetrySettings retrySettings =
          RetrySettings.newBuilder()
              .setInitialRetryDelay(initialRetryDelay)
              .setRetryDelayMultiplier(retryDelayMultiplier)
              .setMaxRetryDelay(maxRetryDelay)
              .setInitialRpcTimeout(initialRpcTimeout)
              .setRpcTimeoutMultiplier(rpcTimeoutMultiplier)
              .setMaxRpcTimeout(maxRpcTimeout)
              .setTotalTimeout(totalTimeout)
              .build();

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

      String message = "first message";
      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);
      String messageId = messageIdFuture.get();
      System.out.println("Published a message with retry settings: " + messageId);

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

Node.js

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/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID'
// const topicNameOrId = 'YOUR_TOPIC_NAME_OR_ID';
// const data = JSON.stringify({foo: 'bar'});

// Imports the Google Cloud client library. v1 is for the lower level
// proto access.
const {v1} = require('@google-cloud/pubsub');

// Creates a publisher client.
const publisherClient = new v1.PublisherClient({
  // optional auth parameters
});
async function publishWithRetrySettings(projectId, topicNameOrId, data) {
  const formattedTopic = publisherClient.projectTopicPath(
    projectId,
    topicNameOrId
  );

  // Publishes the message as a string, e.g. "Hello, world!" or JSON.stringify(someObject)
  const dataBuffer = Buffer.from(data);
  const messagesElement = {
    data: dataBuffer,
  };
  const messages = [messagesElement];

  // Build the request
  const request = {
    topic: formattedTopic,
    messages: messages,
  };

  // Retry settings control how the publisher handles retryable failures. Default values are shown.
  // The `retryCodes` array determines which grpc errors will trigger an automatic retry.
  // The `backoffSettings` object lets you specify the behaviour of retries over time.
  const retrySettings = {
    retryCodes: [
      10, // 'ABORTED'
      1, // 'CANCELLED',
      4, // 'DEADLINE_EXCEEDED'
      13, // 'INTERNAL'
      8, // 'RESOURCE_EXHAUSTED'
      14, // 'UNAVAILABLE'
      2, // 'UNKNOWN'
    ],
    backoffSettings: {
      // The initial delay time, in milliseconds, between the completion
      // of the first failed request and the initiation of the first retrying request.
      initialRetryDelayMillis: 100,
      // The multiplier by which to increase the delay time between the completion
      // of failed requests, and the initiation of the subsequent retrying request.
      retryDelayMultiplier: 1.3,
      // The maximum delay time, in milliseconds, between requests.
      // When this value is reached, retryDelayMultiplier will no longer be used to increase delay time.
      maxRetryDelayMillis: 60000,
      // The initial timeout parameter to the request.
      initialRpcTimeoutMillis: 5000,
      // The multiplier by which to increase the timeout parameter between failed requests.
      rpcTimeoutMultiplier: 1.0,
      // The maximum timeout parameter, in milliseconds, for a request. When this value is reached,
      // rpcTimeoutMultiplier will no longer be used to increase the timeout.
      maxRpcTimeoutMillis: 600000,
      // The total time, in milliseconds, starting from when the initial request is sent,
      // after which an error will be returned, regardless of the retrying attempts made meanwhile.
      totalTimeoutMillis: 600000,
    },
  };

  const [response] = await publisherClient.publish(request, {
    retry: retrySettings,
  });
  console.log(`Message ${response.messageIds} published.`);
}

Python

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from google import api_core
from google.cloud import pubsub_v1

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

# Configure the retry settings. Defaults shown in comments are values applied
# by the library by default, instead of default values in the Retry object.
custom_retry = api_core.retry.Retry(
    initial=0.250,  # seconds (default: 0.1)
    maximum=90.0,  # seconds (default: 60.0)
    multiplier=1.45,  # default: 1.3
    deadline=300.0,  # seconds (default: 60.0)
    predicate=api_core.retry.if_exception_type(
        api_core.exceptions.Aborted,
        api_core.exceptions.DeadlineExceeded,
        api_core.exceptions.InternalServerError,
        api_core.exceptions.ResourceExhausted,
        api_core.exceptions.ServiceUnavailable,
        api_core.exceptions.Unknown,
        api_core.exceptions.Cancelled,
    ),
)

publisher = pubsub_v1.PublisherClient()
topic_path = publisher.topic_path(project_id, topic_id)

for n in range(1, 10):
    data_str = f"Message number {n}"
    # Data must be a bytestring
    data = data_str.encode("utf-8")
    future = publisher.publish(topic=topic_path, data=data, retry=custom_retry)
    print(future.result())

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

Le impostazioni di nuovo tentativo controllano in che modo le librerie client di Pub/Sub provano a pubblicare nuovamente le richieste. Le librerie client hanno una delle seguenti impostazioni per nuovi tentativi:

Timeout richiesta iniziale: il periodo di tempo prima che una libreria client smetta di completare la richiesta di pubblicazione iniziale.
Ritardo dei tentativi: il periodo di tempo dopo che una richiesta scade quando una libreria client attende di riprovare la richiesta.
Timeout totale: il periodo di tempo successivo all'interruzione della pubblicazione di nuove richieste di pubblicazione da parte della libreria client.

Per riprovare a pubblicare le richieste, il timeout iniziale della richiesta deve essere inferiore al timeout totale. Ad esempio, se utilizzi il backoff esponenziale, le librerie client calcolano il timeout della richiesta e i ritardi nel nuovo tentativo come segue:

Dopo ogni richiesta di pubblicazione, il timeout viene aumentato del moltiplicatore, fino al valore massimo della richiesta.
Dopo ogni nuovo tentativo, il ritardo viene aumentato del moltiplicatore fino al massimo.

Riprovare le richieste con chiavi di ordinamento

Quando una libreria client tenta di nuovo una richiesta e il messaggio ha una chiave di ordinamento, la libreria client ripeterà ripetutamente la richiesta, indipendentemente dalle impostazioni Riprova.

Se si verifica un errore non irreversibile, la libreria client non pubblica il messaggio e interrompe la pubblicazione di altri messaggi con la stessa chiave di ordinamento. Ad esempio, quando un editore invia un messaggio a un argomento che non esiste, si verifica un errore non irreversibile. Per continuare a pubblicare i messaggi con la stessa chiave di ordinamento, chiama un metodo per riprendere la pubblicazione e ricominciare a pubblicarla.

L'esempio seguente mostra come riprendere la pubblicazione dei messaggi con la stessa chiave di ordinamento.

C++

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namespace pubsub = ::google::cloud::pubsub;
using ::google::cloud::future;
using ::google::cloud::StatusOr;
[](pubsub::Publisher publisher) {
  struct SampleData {
    std::string ordering_key;
    std::string data;
  } data[] = {
      {"key1", "message1"}, {"key2", "message2"}, {"key1", "message3"},
      {"key1", "message4"}, {"key1", "message5"},
  };
  std::vector<future<void>> done;
  for (auto& datum : data) {
    auto const& da = datum;  // workaround MSVC lambda capture confusion
    auto handler = [da, publisher](future<StatusOr<std::string>> f) mutable {
      auto const msg = da.ordering_key + "#" + da.data;
      auto id = f.get();
      if (!id) {
        std::cout << "An error has occurred publishing " << msg << "\n";
        publisher.ResumePublish(da.ordering_key);
        return;
      }
      std::cout << "Message " << msg << " published as id=" << *id << "\n";
    };
    done.push_back(
        publisher
            .Publish(pubsub::MessageBuilder{}
                         .SetData("Hello World! [" + datum.data + "]")
                         .SetOrderingKey(datum.ordering_key)
                         .Build())
            .then(handler));
  }
  publisher.Flush();
  // Block until all the messages are published (optional)
  for (auto& f : done) f.get();
}

C#

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

public class ResumePublishSample
{
    public async Task<int> PublishOrderedMessagesAsync(string projectId, string topicId, IEnumerable<(string, string)> keysAndMessages)
    {
        TopicName topicName = TopicName.FromProjectTopic(projectId, topicId);

        var customSettings = new PublisherClient.Settings
        {
            EnableMessageOrdering = true
        };

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

        int publishedMessageCount = 0;
        var publishTasks = keysAndMessages.Select(async keyAndMessage =>
        {
            try
            {
                string message = await publisher.PublishAsync(keyAndMessage.Item1, keyAndMessage.Item2);
                Console.WriteLine($"Published message {message}");
                Interlocked.Increment(ref publishedMessageCount);
            }
            catch (Exception exception)
            {
                Console.WriteLine($"An error occurred when publishing message {keyAndMessage.Item2}: {exception.Message}");
                publisher.ResumePublish(keyAndMessage.Item1);
            }
        });
        await Task.WhenAll(publishTasks);
        return publishedMessageCount;
    }
}

Go

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import (
	"context"
	"fmt"
	"io"

	"cloud.google.com/go/pubsub"
	"google.golang.org/api/option"
)

func resumePublishWithOrderingKey(w io.Writer, projectID, topicID string) {
	// projectID := "my-project-id"
	// topicID := "my-topic"
	ctx := context.Background()

	// Sending messages to the same region ensures they are received in order
	// even when multiple publishers are used.
	client, err := pubsub.NewClient(ctx, projectID,
		option.WithEndpoint("us-east1-pubsub.googleapis.com:443"))
	if err != nil {
		fmt.Fprintf(w, "pubsub.NewClient: %v", err)
		return
	}
	defer client.Close()

	t := client.Topic(topicID)
	t.EnableMessageOrdering = true
	key := "some-ordering-key"

	res := t.Publish(ctx, &pubsub.Message{
		Data:        []byte("some-message"),
		OrderingKey: key,
	})
	_, err = res.Get(ctx)
	if err != nil {
		// Error handling code can be added here.
		fmt.Printf("Failed to publish: %s\n", err)

		// Resume publish on an ordering key that has had unrecoverable errors.
		// After such an error publishes with this ordering key will fail
		// until this method is called.
		t.ResumePublish(key)
	}

	fmt.Fprint(w, "Published a message with ordering key successfully\n")
}

Java

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import com.google.api.core.ApiFuture;
import com.google.api.core.ApiFutureCallback;
import com.google.api.core.ApiFutures;
import com.google.api.gax.rpc.ApiException;
import com.google.cloud.pubsub.v1.Publisher;
import com.google.common.util.concurrent.MoreExecutors;
import com.google.protobuf.ByteString;
import com.google.pubsub.v1.PubsubMessage;
import com.google.pubsub.v1.TopicName;
import java.io.IOException;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.concurrent.TimeUnit;

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

    resumePublishWithOrderingKeysExample(projectId, topicId);
  }

  public static void resumePublishWithOrderingKeysExample(String projectId, String topicId)
      throws IOException, InterruptedException {
    TopicName topicName = TopicName.of(projectId, topicId);
    // Create a publisher and set message ordering to true.
    Publisher publisher =
        Publisher.newBuilder(topicName)
            .setEnableMessageOrdering(true)
            .setEndpoint("us-east1-pubsub.googleapis.com:443")
            .build();

    try {
      Map<String, String> messages = new LinkedHashMap<String, String>();
      messages.put("message1", "key1");
      messages.put("message2", "key2");
      messages.put("message3", "key1");
      messages.put("message4", "key2");

      for (Map.Entry<String, String> entry : messages.entrySet()) {
        ByteString data = ByteString.copyFromUtf8(entry.getKey());
        PubsubMessage pubsubMessage =
            PubsubMessage.newBuilder().setData(data).setOrderingKey(entry.getValue()).build();
        ApiFuture<String> future = publisher.publish(pubsubMessage);

        // Add an asynchronous callback to handle publish success / failure.
        ApiFutures.addCallback(
            future,
            new ApiFutureCallback<String>() {

              @Override
              public void onFailure(Throwable throwable) {
                if (throwable instanceof ApiException) {
                  ApiException apiException = ((ApiException) throwable);
                  // Details on the API exception.
                  System.out.println(apiException.getStatusCode().getCode());
                  System.out.println(apiException.isRetryable());
                }
                System.out.println("Error publishing message : " + pubsubMessage.getData());
                // (Beta) Must call resumePublish to reset key and continue publishing with order.
                publisher.resumePublish(pubsubMessage.getOrderingKey());
              }

              @Override
              public void onSuccess(String messageId) {
                // Once published, returns server-assigned message ids (unique within the topic).
                System.out.println(pubsubMessage.getData() + " : " + messageId);
              }
            },
            MoreExecutors.directExecutor());
      }
    } finally {
      publisher.shutdown();
      publisher.awaitTermination(1, TimeUnit.MINUTES);
    }
  }
}

Node.js

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/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const topicNameOrId = 'YOUR_TOPIC_NAME_OR_ID';
// const data = JSON.stringify({foo: 'bar'});
// const orderingKey = 'key1';

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

  const publishOptions = {
    messageOrdering: true,
  };

  // Publishes the message
  const publisher = pubSubClient.topic(topicNameOrId, publishOptions);
  try {
    const message = {
      data: dataBuffer,
      orderingKey: orderingKey,
    };
    const messageId = await publisher.publishMessage(message);
    console.log(`Message ${messageId} published.`);

    return messageId;
  } catch (e) {
    console.log(`Could not publish: ${e}`);
    publisher.resumePublishing(orderingKey);
    return null;
  }
}

Python

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from google.cloud import pubsub_v1

# TODO(developer): Choose an existing topic.
# project_id = "your-project-id"
# topic_id = "your-topic-id"

publisher_options = pubsub_v1.types.PublisherOptions(enable_message_ordering=True)
# Sending messages to the same region ensures they are received in order
# even when multiple publishers are used.
client_options = {"api_endpoint": "us-east1-pubsub.googleapis.com:443"}
publisher = pubsub_v1.PublisherClient(
    publisher_options=publisher_options, client_options=client_options
)
# The `topic_path` method creates a fully qualified identifier
# in the form `projects/{project_id}/topics/{topic_id}`
topic_path = publisher.topic_path(project_id, topic_id)

for message in [
    ("message1", "key1"),
    ("message2", "key2"),
    ("message3", "key1"),
    ("message4", "key2"),
]:
    # Data must be a bytestring
    data = message[0].encode("utf-8")
    ordering_key = message[1]
    # When you publish a message, the client returns a future.
    future = publisher.publish(topic_path, data=data, ordering_key=ordering_key)
    try:
        print(future.result())
    except RuntimeError:
        # Resume publish on an ordering key that has had unrecoverable errors.
        publisher.resume_publish(topic_path, ordering_key)

print(f"Resumed publishing messages with ordering keys to {topic_path}.")

Ruby

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# topic_id = "your-topic-id"
require "google/cloud/pubsub"

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
}
topic.enable_message_ordering!
10.times do |i|
  topic.publish_async "This is message \##{i}.",
                      ordering_key: "ordering-key" do |result|
    if result.succeeded?
      puts "Message \##{i} successfully published."
    else
      puts "Message \##{i} failed to publish"
      # Allow publishing to continue on "ordering-key" after processing the
      # failure.
      topic.resume_publish "ordering-key"
    end
  end
end

# Stop the async_publisher to send all queued messages immediately.
topic.async_publisher.stop!

Controllo del flusso

Un client dell'editore può tentare di pubblicare messaggi più velocemente di quanto il client sia in grado di inviare dati al servizio Pub/Sub. I client sono limitati da molti fattori, tra cui:

CPU, RAM e capacità della rete della macchina
Impostazioni della rete, ad esempio il numero di richieste in sospeso e la larghezza di banda disponibile
La latenza di ogni richiesta di pubblicazione, in gran parte determinata dalle connessioni di rete tra il servizio Pub/Sub, il client e Google Cloud.

Se la frequenza di richieste di pubblicazione supera questi limiti, le richieste si accumulano in memoria finché non vanno a buon fine con un errore DEADLINE_EXCEEDED. Ciò è particolarmente probabile quando decine di migliaia di messaggi vengono pubblicati in loop, generando migliaia di richieste in millisecondi.

Puoi diagnosticare questo problema controllando le metriche lato server in Monitoring. Non potrai visualizzare le richieste non riuscite con DEADLINE_EXCEEDED, ma solo le richieste riuscite. La frequenza delle richieste riuscite indica la capacità di velocità effettiva delle macchine client, fornendo una base di riferimento per configurare il controllo del flusso.

Vai alla pagina Monitoring

Per mitigare i problemi di portata, configura il tuo client di publisher con il controllo del flusso per limitare la frequenza delle richieste di pubblicazione. Puoi configurare il numero massimo di byte allocati per le richieste in sospeso e il numero massimo consentito di messaggi in sospeso. Imposta questi limiti in base alla capacità di velocità effettiva delle macchine client.

Il controllo del flusso degli editori è disponibile tramite le librerie client Pub/Sub nelle seguenti lingue:

C++

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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));
  // Configure the publisher to block if either (1) 100 or more messages, or
  // (2) messages with 100MiB worth of data have not been acknowledged by the
  // service. By default the publisher never blocks, and its capacity is only
  // limited by the system's memory.
  auto publisher = pubsub::Publisher(pubsub::MakePublisherConnection(
      std::move(topic),
      Options{}
          .set<pubsub::MaxPendingMessagesOption>(100)
          .set<pubsub::MaxPendingBytesOption>(100 * 1024 * 1024L)
          .set<pubsub::FullPublisherActionOption>(
              pubsub::FullPublisherAction::kBlocks)));

  std::vector<future<void>> ids;
  for (char const* data : {"a", "b", "c"}) {
    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();
}

Go

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import (
	"context"
	"fmt"
	"io"
	"strconv"
	"sync"
	"sync/atomic"

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

func publishWithFlowControlSettings(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: %v", err)
	}
	defer client.Close()

	t := client.Topic(topicID)
	t.PublishSettings.FlowControlSettings = pubsub.FlowControlSettings{
		MaxOutstandingMessages: 100,                     // default 1000
		MaxOutstandingBytes:    10 * 1024 * 1024,        // default 0 (unlimited)
		LimitExceededBehavior:  pubsub.FlowControlBlock, // default Ignore, other options: Block and SignalError
	}

	var wg sync.WaitGroup
	var totalErrors uint64

	numMsgs := 1000
	// Rapidly publishing 1000 messages in a loop may be constrained by flow control.
	for i := 0; i < numMsgs; i++ {
		wg.Add(1)
		result := t.Publish(ctx, &pubsub.Message{
			Data: []byte("message #" + strconv.Itoa(i)),
		})
		go func(i int, res *pubsub.PublishResult) {
			fmt.Fprintf(w, "Publishing message %d\n", i)
			defer wg.Done()
			// The Get method blocks until a server-generated ID or
			// an error is returned for the published message.
			_, err := res.Get(ctx)
			if err != nil {
				// Error handling code can be added here.
				fmt.Fprintf(w, "Failed to publish: %v", err)
				atomic.AddUint64(&totalErrors, 1)
				return
			}
		}(i, result)
	}

	wg.Wait()

	if totalErrors > 0 {
		return fmt.Errorf("%d of %d messages did not publish successfully", totalErrors, numMsgs)
	}
	return nil
}

Java

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import com.google.api.core.ApiFuture;
import com.google.api.core.ApiFutures;
import com.google.api.gax.batching.BatchingSettings;
import com.google.api.gax.batching.FlowControlSettings;
import com.google.api.gax.batching.FlowController.LimitExceededBehavior;
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;

public class PublishWithFlowControlExample {
  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";

    publishWithFlowControlExample(projectId, topicId);
  }

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

    try {
      // Configure how many messages the publisher client can hold in memory
      // and what to do when messages exceed the limit.
      FlowControlSettings flowControlSettings =
          FlowControlSettings.newBuilder()
              // Block more messages from being published when the limit is reached. The other
              // options are Ignore (or continue publishing) and ThrowException (or error out).
              .setLimitExceededBehavior(LimitExceededBehavior.Block)
              .setMaxOutstandingRequestBytes(10 * 1024 * 1024L) // 10 MiB
              .setMaxOutstandingElementCount(100L) // 100 messages
              .build();

      // By default, messages are not batched.
      BatchingSettings batchingSettings =
          BatchingSettings.newBuilder().setFlowControlSettings(flowControlSettings).build();

      publisher = Publisher.newBuilder(topicName).setBatchingSettings(batchingSettings).build();

      // Publish 1000 messages in quick succession may be constrained by publisher flow control.
      for (int i = 0; i < 1000; 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 flow control settings.");

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

Node.js

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/**
 * TODO(developer): Uncomment this variable before running the sample.
 */
// const topicNameOrId = 'YOUR_TOPIC_NAME_OR_ID';

// 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 publishWithFlowControl(topicNameOrId) {
  // Create publisher options
  const options = {
    flowControlOptions: {
      maxOutstandingMessages: 50,
      maxOutstandingBytes: 10 * 1024 * 1024, // 10 MB
    },
  };

  // Get a publisher.
  const topic = pubSubClient.topic(topicNameOrId, options);

  // For flow controlled publishing, we'll use a publisher flow controller
  // instead of `topic.publish()`.
  const flow = topic.flowControlled();

  // Publish messages in a fast loop.
  const testMessage = {data: Buffer.from('test!')};
  for (let i = 0; i < 1000; i++) {
    // You can also just `await` on `publish()` unconditionally, but if
    // you want to avoid pausing to the event loop on each iteration,
    // you can manually check the return value before doing so.
    const wait = flow.publish(testMessage);
    if (wait) {
      await wait;
    }
  }

  // Wait on any pending publish requests. Note that you can call `all()`
  // earlier if you like, and it will return a Promise for all messages
  // that have been sent to `flowController.publish()` so far.
  const messageIds = await flow.all();
  console.log(`Published ${messageIds.length} with flow control settings.`);
}

Python

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from concurrent import futures
from google.cloud import pubsub_v1
from google.cloud.pubsub_v1.types import (
    LimitExceededBehavior,
    PublisherOptions,
    PublishFlowControl,
)

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

# Configure how many messages the publisher client can hold in memory
# and what to do when messages exceed the limit.
flow_control_settings = PublishFlowControl(
    message_limit=100,  # 100 messages
    byte_limit=10 * 1024 * 1024,  # 10 MiB
    limit_exceeded_behavior=LimitExceededBehavior.BLOCK,
)
publisher = pubsub_v1.PublisherClient(
    publisher_options=PublisherOptions(flow_control=flow_control_settings)
)
topic_path = publisher.topic_path(project_id, topic_id)
publish_futures = []

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

# Publish 1000 messages in quick succession may be constrained by
# publisher flow control.
for n in range(1, 1000):
    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 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 flow control settings to {topic_path}.")

Controllo della contemporaneità

Il supporto della contemporaneità dipende dal linguaggio di programmazione. Per ulteriori informazioni, consulta la documentazione di riferimento delle API.

Il seguente esempio illustra come controllare la contemporaneità in un publisher:

C++

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namespace pubsub = ::google::cloud::pubsub;
using ::google::cloud::future;
using ::google::cloud::GrpcBackgroundThreadPoolSizeOption;
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));
  // Override the default number of background (I/O) threads. By default the
  // library uses `std::thread::hardware_concurrency()` threads.
  auto options = Options{}.set<GrpcBackgroundThreadPoolSizeOption>(8);
  auto publisher = pubsub::Publisher(
      pubsub::MakePublisherConnection(std::move(topic), std::move(options)));

  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();
}

Go

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import (
	"context"
	"fmt"
	"io"

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

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

	t := client.Topic(topicID)
	t.PublishSettings.NumGoroutines = 1

	result := t.Publish(ctx, &pubsub.Message{Data: []byte(msg)})
	// Block until the result is returned and a server-generated
	// ID is returned for the published message.
	id, err := result.Get(ctx)
	if err != nil {
		return fmt.Errorf("Get: %v", err)
	}
	fmt.Fprintf(w, "Published a message; msg ID: %v\n", id)
	return nil
}

Java

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import com.google.api.core.ApiFuture;
import com.google.api.core.ApiFutures;
import com.google.api.gax.core.ExecutorProvider;
import com.google.api.gax.core.InstantiatingExecutorProvider;
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;

public class PublishWithConcurrencyControlExample {
  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";

    publishWithConcurrencyControlExample(projectId, topicId);
  }

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

    try {
      // Provides an executor service for processing messages. The default
      // `executorProvider` used by the publisher has a default thread count of
      // 5 * the number of processors available to the Java virtual machine.
      ExecutorProvider executorProvider =
          InstantiatingExecutorProvider.newBuilder().setExecutorThreadCount(4).build();

      // `setExecutorProvider` configures an executor for the publisher.
      publisher = Publisher.newBuilder(topicName).setExecutorProvider(executorProvider).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 concurrency control.");

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

Ruby

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# topic_id = "your-topic-id"
require "google/cloud/pubsub"

pubsub = Google::Cloud::Pubsub.new

topic = pubsub.topic topic_id, async: {
  threads: {
    # Use exactly one thread for publishing message and exactly one thread
    # for executing callbacks
    publish:  1,
    callback: 1
  }
}
topic.publish_async "This is a test message." do |result|
  raise "Failed to publish the message." unless result.succeeded?
  puts "Message published asynchronously."
end

# Stop the async_publisher to send all queued messages immediately.
topic.async_publisher.stop.wait!

Monitorare un publisher

Cloud Monitoring offre una serie di metriche per monitorare gli argomenti.

Per monitorare un argomento e gestire un publisher integro, consulta Mantenere un publisher integro.

Passaggi successivi

Per limitare le località in cui Pub/Sub archivia i dati dei messaggi, consulta Limitazione delle località delle risorse Pub/Sub.
Per scoprire di più sulla ricezione dei messaggi, consulta Scegliere un tipo di abbonamento.