RabbitMQ学习之：（七）Fanout Exchange （转贴+我的评论）

From：http://lostechies.com/derekgreer/2012/05/16/rabbitmq-for-windows-fanout-exchanges/

PunCha: There is not too much to say about this topic....

RabbitMQ for Windows: Fanout Exchanges

Posted by Derek Greer on May 16, 2012

This is the sixth installment to the series: RabbitMQ for Windows. In the last installment, we walked through creating a direct exchange example and introduced the push API. In this installment, we’ll walk through a fanout exchange example.

As discussed earlier in the series, the fanout exchange type is useful for facilitating the publish-subscribe pattern. When we publish a message to a fanout exchange, the message is delivered indiscriminately to all bound queues. With the Direct, Topic, and Headers exchange types, a criteria is used by a routing algorithm taking the form of a routing key or a collection of message headers depending on the exchange type in question. A routing key or a collection of message headers may also be specified with the fanout exchange which will be delivered as part of the message’s metadata, but they will not be used as a filter in determining which queue receives a published message.

To demonstrate the fanout exchange, we’ll use a stock ticker example. In the previous example, logs were routed to queues based upon a matching routing key (an empty string in the logging example’s case). In this example, we’d like our messages to be delivered to all bound queues regardless of qualification.

Similar to the previous example, we’ll create a Producer console application which periodically publishes stock quote messages and a Consumer console application which displays the message to the console.

We’ll start our Producer app as before by establishing a connection using the default settings, creating the connection, and creating a channel:

namespace Producer
{
  class Program
  {
    static volatile bool _cancelling;

    static void Main(string[] args)
    {
      var connectionFactory = new ConnectionFactory();
      IConnection connection = connectionFactory.CreateConnection();
      IModel channel = connection.CreateModel();
    }
  }
}

Next, we need to declare an exchange of type “fanout”. We’ll name our new exchange “fanout-exchange-example”:

channel.ExchangeDeclare("direct-exchange-example", ExchangeType.Fanout, false, true, null);

To publish the stock messages periodically, we’ll call a PublishQuotes() method with the provided channel and run it on a background thread:

var thread = new Thread(() => PublishQuotes(channel));
thread.Start();

Next, we’ll provide a way to exit the application by prompting the user to enter ‘x’ and use a simple Boolean to signal the background thread when to exit:

Console.WriteLine("Press 'x' to exit");
var input = (char) Console.Read();
_cancelling = true;

Lastly, we need to close the channel and connection:

channel.Close();
connection.Close();

For our PublishQuotes() method, well iterate over a set of stock symbols, retrieve the stock information for each symbol, and publish a simple string-based message in the form [symbol]:[price]:

static void PublishQuotes(IModel channel)
{
  while (true)
  {
    if (_cancelling) return;
    IEnumerable quotes = FetchStockQuotes(new[] {"GOOG", "HD", "MCD"});
    foreach (string quote in quotes)
    {
      byte[] message = Encoding.UTF8.GetBytes(quote);
      channel.BasicPublish("direct-exchange-example", "", null, message);
    }
    Thread.Sleep(5000);
  }
}

To implement the FetchStockQuotes() method, we’ll use the Yahoo Finance API which entails retrieving an XML-based list of stock quotes and parsing out the bit of information we’re interested in for our example:

static IEnumerable<string> FetchStockQuotes(string[] symbols)
{
  var quotes = new List<string>();

  string url = string.Format("http://query.yahooapis.com/v1/public/yql?q=select%20*%20from%20yahoo.finance.quotes%20where%20symbol%20in%20({0})&env=store://datatables.org/alltableswithkeys",
      String.Join("%2C", symbols.Select(s => "%22" + s + "%22")));
  var wc = new WebClient {Proxy = WebRequest.DefaultWebProxy};
  var ms = new MemoryStream(wc.DownloadData(url));
  var reader = new XmlTextReader(ms);
  XDocument doc = XDocument.Load(reader);
  XElement results = doc.Root.Element("results");

  foreach (string symbol in symbols)
  {
    XElement q = results.Elements("quote").First(w => w.Attribute("symbol").Value == symbol);  
    quotes.Add(symbol + ":" + q.Element("AskRealtime").Value);
  }

  return quotes;
}

Here is the complete Producer listing:

using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.IO;
using System.Linq;
using System.Net;
using System.Text;
using System.Threading;
using System.Xml;
using System.Xml.Linq;
using RabbitMQ.Client;

namespace Producer
{
  class Program
  {
    static volatile bool _cancelling;

    static void Main(string[] args)
    {
      var connectionFactory = new ConnectionFactory();
      IConnection connection = connectionFactory.CreateConnection();
      IModel channel = connection.CreateModel();
      channel.ExchangeDeclare("direct-exchange-example", ExchangeType.Fanout, false, true, null);

      var thread = new Thread(() => PublishQuotes(channel));
      thread.Start();

      Console.WriteLine("Press 'x' to exit");
      var input = (char) Console.Read();
      _cancelling = true;

      channel.Close();
      connection.Close();
    }

    static void PublishQuotes(IModel channel)
    {
      while (true)
      {
        if (_cancelling) return;
        IEnumerable quotes = FetchStockQuotes(new[] {"GOOG", "HD", "MCD"});
        foreach (string quote in quotes)
        {
          byte[] message = Encoding.UTF8.GetBytes(quote);
          channel.BasicPublish("direct-exchange-example", "", null, message);
        }
        Thread.Sleep(5000);
      }
    }

    static IEnumerable<string> FetchStockQuotes(string[] symbols)
    {
      var quotes = new List<string>();

      string url = string.Format("http://query.yahooapis.com/v1/public/yql?q=select%20*%20from%20yahoo.finance.quotes%20where%20symbol%20in%20({0})&env=store://datatables.org/alltableswithkeys",
          String.Join("%2C", symbols.Select(s => "%22" + s + "%22")));
      var wc = new WebClient {Proxy = WebRequest.DefaultWebProxy};
      var ms = new MemoryStream(wc.DownloadData(url));
      var reader = new XmlTextReader(ms);
      XDocument doc = XDocument.Load(reader);
      XElement results = doc.Root.Element("results");

      foreach (string symbol in symbols)
      {
        XElement q = results.Elements("quote").First(w => w.Attribute("symbol").Value == symbol);  
        quotes.Add(symbol + ":" + q.Element("AskRealtime").Value);
      }

      return quotes;
    }
  }
}

Our Consumer application will be similar to the one used in our logging example, but we’ll change the exchange name, queue name, and exchange type and put the processing of the messages within a while loop to continually display our any updates to our stock prices. Here’s the full listing for our Consumer app:

using System;
using System.IO;
using System.Text;
using RabbitMQ.Client;
using RabbitMQ.Client.Events;

namespace Consumer
{
  class Program
  {
    static void Main(string[] args)
    {
      var connectionFactory = new ConnectionFactory();
      IConnection connection = connectionFactory.CreateConnection();
      IModel channel = connection.CreateModel();

      channel.ExchangeDeclare("direct-exchange-example", ExchangeType.Fanout, false, true, null);
      channel.QueueDeclare("quotes", false, false, true, null);
      channel.QueueBind("quotes", "direct-exchange-example", "");

      var consumer = new QueueingBasicConsumer(channel);
      channel.BasicConsume("quotes", true, consumer);

      while (true)
      {
        try
        {
          var eventArgs = (BasicDeliverEventArgs) consumer.Queue.Dequeue();
          string message = Encoding.UTF8.GetString(eventArgs.Body);
          Console.WriteLine(message);
        }
        catch (EndOfStreamException)
        {
          // The consumer was cancelled, the model closed, or the connection went away.
          break;
        }
      }

      channel.Close();
      connection.Close();
    }
  }
}

Setting our solution startup projects to run both the Producer and Consumer apps together, we should see messages similar to the following for the Consumer output:

GOOG:611.62
HD:48.66
MCD:91.06
GOOG:611.58
HD:48.66
MCD:91.06

To show our queue would receive messages published to the fanout exchange regardless of the routing key value, we can change the value of the routing key to “anything”:

channel.QueueBind("quotes", "direct-exchange-example", "anything");

Running the application again shows the same values:

GOOG:611.62
HD:48.66
MCD:91.06
GOOG:611.58
HD:48.66
MCD:91.06

That concludes our fanout exchange example. Next time, we’ll take a look at the topic exchange type.

http://blog.csdn.net/puncha/article/details/8450063