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Finally, you might find that a particular implementation is a favorite in combination with some other technology you are using as Celery currently seems a favorite with Django developers and that might serve as a good guide to choosing a library An alternative to using AMQP and having to run a central broker, like RabbitMQ or Apache Qpid, is to use MQ, the Zero Message Queue, which was invented by the same company as AMQP but moves the messaging intelligence from a centralized broker into every one of your message client programs The MQ library embedded in each of your programs, in other words, lets your code spontaneously build a messaging fabric without the need for a centralized broker This involves several differences in approach from an architecture based on a central broker that can provide reliability, redundancy, retransmission, and even persistence to disk.

As another example, in the following code, method GetHour is called in the WriteLine statement in Main, and returns an int value to that position in the WriteLine statement. class MyClass { Return type public int GetHour() { DateTime dt = DateTime.Now; int hour = dt.Hour; return hour; Return value

If you need to refresh your memory about how blocks are structured, refer to 7. The Twitter.js code is shown in Listing 8-1 for your reference.

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A good summary of the advantages and disadvantages is provided at the MQ web site: wwwzeromqorg/docs:welcome-from-amqp How should you approach this range of possible solutions, or evaluate other message queue technologies or libraries that you might find mentioned on Python blogs or PyCon talks You should probably focus on the particular message pattern that you need to implement If you are using messages as simply a lightweight and load-balanced form of RPC behind your front-end web machines, for example, then MQ might be a great choice; if a server reboots and its messages are lost, then either users will time out and hit reload, or you can teach your front-end machines to resubmit their requests after a modest delay.

class Program { static void Main() { Method invocation MyClass mc = new MyClass(); Console.WriteLine("Hour: {0}", mc.GetHour()); } } Instance name Method name

But if your messages each represent an unrepeatable investment of effort by one of your users if, for example, your social network site saves user status updates by placing them on a queue and then telling the users that their update succeeded then a message broker with strong guarantees against message loss will be the only protection your users will have against having to re-type the same status later when they notice that it never got posted Listing 8 3 shows some of the patterns that can be supported when message queues are used to connect different parts of an application It requires MQ, which you can most easily make available to Python by creating a virtual environment and then typing the following: $ pip install pyzmq-static The listing uses Python threads to create a small cluster of six different services.

In the previous section, you saw that methods that return a value must contain return statements. Void methods do not require return statements. When the flow-of-control reaches the closing curly brace of the method body, control returns to the calling code. No value is inserted back into the calling code. Often, however, you can simplify your program logic by exiting the method early, when certain conditions apply. You can exit from a method at any time by using the following form of the return statement, with no parameters: return; This form of the return statement can be used only with methods declared void. For example, the following code shows the declaration of a void method called SomeMethod, which has three possible places it might return to the calling code. The first two places are in branches called if statements, which are covered in 9. The last place is the end of the method body. Void return type void SomeMethod() { ... if( SomeCondition ) return; ... if( OtherCondition ) return; ... } // Return to the calling code. // If ... // return to the calling code.

One pushes a constant stream of words on to a pipeline Three others sit ready to receive a word from the pipeline; each word wakes one of them up The final two are request-reply servers, which resemble remote procedure endpoints (see 18) and send back a message for each message they receive..

Listing 8-1. Twitter Block Source Code componentManager.add("twitter", "TwitterClass", "/content/components/icons/twitter.png", "/content/components/icons/twitterLogo.png"); // ************** // BEGIN TWITTER BLOCK // ************** function TwitterClass() { this.__getLatestPosts = [new TwitterStatus()]; }

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