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Listing 5-16. Heartbeat Message Targeted to Monitor NASDAQ Exchange Gateway using System; using System.Threading; namespace AOP { public class NASDAQHeartBeatService { public NASDAQHeartBeatService() { } public void Start() { if ( !Thread.CurrentPrincipal.IsInRole("Manager")) throw new ApplicationException("Access Denied"); //Exchange-Specific Operation } public void Stop() { if ( !Thread.CurrentPrincipal.IsInRole("Manager")) throw new ApplicationException("Access Denied"); //Exchange-Specific Operation } } } Both the NASDAQHeartBeatService and NYSEHeartBeatService classes are composed of two types of requirements. The first and the most important is the functional requirement itself, which is satisfied by sending a heartbeat message to the exchange. The second type is the operational requirement, which is sprinkled on top of the functional requirement. The most commonly found operational requirement in enterprise-based applications are logging, exception handling, authorization, and thread synchronization. These requirements are scattered inside the functional requirement, and the code needed to perform its services are the same across all functional requirements. For example, if you look at the NYSEHeartBeatService class, there is an explicit authorization check as a first line of code inside the Start and Stop methods. This validation is also applied in the NASDAQHeartBeatService class, and this doesn t stop here. If a new exchange is introduced, then it also inherits this validation. Operational requirements always tend to crosscut the functional requirement, resulting in the tight coupling of functional and system classes. For example, if you need to introduce a new logging feature in Listing 5-15 and Listing 5-16, then you will face a swirl of change, and each of the functional classes needs to be changed. Figure 5-14 shows the integration of operational requirements with functional requirements.

You may have noticed the Web 2.0 buzz word in the title of this book. I didn t add that just to sell books Seam provides some powerful facilities for integrating rich Internet UIs into your Seam component model, providing interesting ways to plug your business logic directly into your client-side UI. Seam supports rich Internet applications built using Asynchronous JavaScript and XML (AJAX) in two fundamental ways. First, it supplies a remoting capability for Seam components (mentioned earlier in this chapter) that allows JavaScript code to invoke your components directly from the client side of the web UI. Second, Seam supplies a set of JavaScript shim code that makes it easy for you to make use of this component remoting capability in AJAX contexts. You ll explore this aspect of Seam in 8.

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Enumerable.first(n) is being added and behaves just like Array.first(n) in that it retrieves the first n objects from the collection: [1, 2, "buckle", "my", "shoe"].first(2) # returns a new array [1, 2] {tickets: 2, rides: 5}.first(1) # returns a new array [[:rides, 5]] In the case of the second example, remember that the order of a hash is undefined. For easy partitioning, Enumerable.group_by is really handy as it takes a block, which will generate a key for each value and then place all the values in a hash of arrays accordingly. Thus the following: ["acorn", "apple", "orange", "starfruit"].group_by { |name| name[0] } would return a new hash: {"a" => ["acorn", "apple"], "o" => ["orange"], "s" => ["starfruit"]} In the searching department, we have the new Enumerable.find_index method, which is exactly like Enumerable.find save for the fact that it returns the index of the found item rather than the item itself: ["users", "groups", "printers"].find_index { |item| item[0] == "p" } # returns 2 In a similar vein, Enumerable.count takes either an object as an argument or a matching block and returns the number of items in the collection, either matching the object or causing true to be returned by the block: (1..10).count(5) # returns 1 (1..10).count { |i| i % 2 == 0 } # returns 5 Finally, Enumerable.max and Enumerable.min now have a couple of siblings: Enumerable. max_by and Enumerable.min_by. These methods take a block that produces a value used to assess the maximal/minimal nature of each item: ["52634", "22435", "4314", "22489"].max_by { |l| l.reverse.to_i } # returns "22489"

Console.WriteLine("Market-Data Consumer Service Started - Using TCP"); IPEndPoint mdpEP = new IPEndPoint(IPAddress.Loopback,20000); Socket mdcSocket = new Socket(AddressFamily.InterNetwork,SocketType.Stream,ProtocolType.Tcp); //Establishes connection with market data server mdcSocket.Connect(mdpEP); byte[] receiveBuffer = new byte[512]; //Receive market data int bytesReceived = mdcSocket.Receive(receiveBuffer); string mktPrice = Encoding.ASCII.GetString(receiveBuffer,0,bytesReceived); Console.WriteLine(mktPrice); //Close connection mdcSocket.Shutdown(SocketShutdown.Both); mdcSocket.Close(); Console.ReadLine(); } } } In Listing 4-5, the code works by first identifying the server endpoint information, which is then fed to the Connect method that synchronously establishes a connection with the remote server. After you are connected, the server immediately sends the data. The data is received and converted into a readable format before being displayed on the console. After displaying the data, the connection is closed, and the underlying memory allocated is released. Figure 4-10 and Figure 4-11 show the console output of both the market data producer and the consumer service.

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