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The traditional approach is to use code to loop through the full collection of employees and add each matching employee to a second collection, as shown here: // Create the source collection List<Employee> employees = new List<Employee>(); // (Code for filling the collection omitted to save space) // Find the matching employees List<Employee> matches = new List<Employee>(); foreach (Employee employee in employees) { if (employeeLastNameStartsWith("D")) { matchesAdd(employee); } } You can then carry on to perform another task with the collection of matches or display it in a web page, as shown here: gridEmployeesDataSource = matches; gridEmployeesDataBind(); Essentially, LINQ to Objects allows you to replace iterative logic (such as a foreach block) with a declarative expression The following example shows how you can rewrite the earlier example, replacing the foreach block with a LINQ expression that queries the collection: // Create the source collection.

The overall architecture of BizTalk RFID Mobile is consistent with BizTalk RFID Desktop, with a few important differences. Figure 7-1 shows what the architecture picture looks like at the 10,000-foot level. You can contrast that to Figure 2-1 in 2 for the desktop version of BizTalk RFID.

private String myPref = null; private String myHeight = null; private String myContact = null; private String seekPref = null; private String seekHeight = null; private String seekContact = null; private SessionNotifier mServerNotifier; private static final String url = "irdaobex://localhost;ias=DatingService"; private Connection mConnection = null;

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List<Employee> employees = new List<Employee>(); // (Code for filling the collection omitted to save space) var matches = from employee in employees where employeeLastNameStartsWith("D") select employee; gridEmployeesDataSource = matches; gridEmployeesDataBind(); The end result is essentially the same you wind up with a collection named matches that s filled with employees who have last names starting with D, which is then displayed in a grid (see Figure 24-1)..

The LINQ expression uses a set of new keywords, including from, in, where, and select. You shape your query using these keywords. (You ll see some of the rules of expression building starting in the next section.) LINQ expressions return an usual type of object, called an iterator object. (In this example, the iterator object is named matches.) Although the iterator object looks like an ordinary collection to your code, it doesn t actually hold any information. Instead, it has the ability to fetch the data when you need it. So when you examine the contents of an iterator object with a foreach block or when you bind it to a control, LINQ evaluates your expression and quickly grabs the information you need. This trick is called deferred execution.

Note There s no technical reason why LINQ needs to use deferred execution, but there are many reasons why it s a good approach. In many cases, it allows LINQ to use performance optimization techniques that wouldn t otherwise be possible. For example, when using database relationships with LINQ to Entities, you can avoid loading related data that you don t actually use.

public OBEXMIDlet() { mClient = DateClient.getInstance(); myPref = getAppProperty("OBEXMIDlet-mypref"); myHeight = getAppProperty("OBEXMIDlet-myheight"); myContact = getAppProperty("OBEXMIDlet-mycontact"); seekPref = getAppProperty("OBEXMIDlet-seekpref"); seekHeight = getAppProperty("OBEXMIDlet-seekheight"); } public void commandAction(Command c, Displayable d) { if (c == mExitCommand) { destroyApp(true); notifyDestroyed(); } }

In this example, the iterator object (named matches) is defined with the var keyword. This is a shortcut that tells the C# compiler to use the correct data type, without forcing you to specify it. Technically, the iterator object could be one of several different types of objects depending on the clauses you use in the LINQ expression. But all of these objects implement the strongly typed version of the

The first thing to observe is that the entire BizTalk RFID Mobile platform runs in the same address space as your application, or in-proc There are no Windows services that are hosting your code or the providers, or hidden remote communication that is happening on behalf of your application Generally, this choice will lead to lower latency in communication between the module and the application, and will consume fewer resources than an out-of-process model The downside of the in-proc model is reliability; an error in the provider can crash the entire application As shown in Figure 7-1, the key components of BizTalk RFID Mobile are as follows: Tag layer: The mobile platform is designed to support a wide variety of RFID frequencies and tag protocols, including LF, HF, and UHF (matching the functionality of the server platform).

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