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method, ejbRemove(), provides the MDB instance with an opportunity to clean up any resources it stores in its instance fields. In our case, we use it to close the JNDI context and set the ejbContext field to null. The second interface that is implemented is javax.jms.MessageListener. This interface was discussed previously. It defines a single method, onMessage(). This is where all the business logic goes in order to process the message received. In our case, because we are assuming a text type message, we first cast the Message object to a TextMessage object. Then we invoke the method getText() on the text message object in order to get the content of the message. Finally, we print the message on the standard output device.
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Listing 6.5: A simple message-driven bean for consuming text messages 1 import javax.jms.Message; 2 import javax.jms.TextMessage; 3 4 public class MyMDB implements javax.ejb.MessageDrivenBean, 5 javax.jms.MessageListener { 6 7 MessageDrivenContext ejbContext; 8 Context jndiContext; 9 10 public void setMessageDrivenContext (MessageDrivenContext mdc) { 11 ejbContext = mdc; 12 try { 13 jndiContext = new InitialContext (); 14 } catch (NamingException namingEx) { 15 throw new EJBException (namingEx); 16 } 17 public void ejbCreate (); 18 public void onMessage ( Message message ) { 19 try { 20 TextMessage textMsg = (TextMessage) message; 21 String msg = textMessage.getText (); 22 System.out.println ( "Received Message : \n" + msg ); 23 } catch (Exception ex ) { 24 throw new ejbException (ex); 25 } 26 } 27 public void ejbRemove () { 30 try { 31 jndiContext.close (0; 32 ejbContext = null; 33 } catch (NamingException ne ) {} 34 } 35 }
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Conclusion This chapter described asynchronous messaging, which may provide the most scalable way for applications to share data and functionality. It is also suitable for applications integration when large transaction volumes are involved. This scalability is due to the asynchronous nature of the messaging, which does not require the client application to suspend its work until the server completes its work, as is the case for RPC and distributed objects. Another important advantage of the messaging described for this method of communication between applications is that it is much more reliable than either the RPC or distributed objects method of sharing data and functionality. This reliability is achieved by persisting the data being exchanged on both sides of the network. As you will find in a later chapter, we can add a few components to the messaging system to turn it into a messaging bus, which is also known as an Enterprise Service Bus (ESB). The most notable component that needs to be added to a messaging system for converting into an ESB is called a router or a message broker. The main function of a message broker is to route the message based on the message content or context. In this way, a further decoupling between the sending and receiving applications is achieved because the sending application does not need to know the address of the final destination. The ESB based on a messaging system provides a much more scalable solution than the ESB based on an application server. It should also be noted that because of the power and popularity of asynchronous messaging, many of the commercial application servers provide some facility to send and receive asynchronous messages. This messaging facility is usually built on top of the systems bus rather than as a standalone messaging system. Therefore, this messaging capability is not very scalable. In spite of the power of messaging, it is important to realize that messaging is not suitable in all situations, and proper tradeoffs must be made in arriving at an integration solution for a given situation. Here are some of the disadvantages of asynchronous messaging:
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Generally speaking, asynchronous messaging software is costlier in monetary terms than the ORB-based middleware. For example, the cost of an ESB based on the asynchronous messaging middleware is typically more than ten times higher than the cost of an ESB based on an ORB-based middleware. A learning curve is associated with the asynchronous messaging environment. A certain amount of overhead and bookkeeping is involved in simulating a synchronous interaction between two applications.
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